diff --git a/.gitattributes b/.gitattributes index 7f1424434..865da2ca2 100644 --- a/.gitattributes +++ b/.gitattributes @@ -12,6 +12,11 @@ *.jpg binary *.gif binary *.ico binary +*.jpeg binary +*.mp3 binary +*.zip binary +*.bin binary + # Preserve original line endings for specific document files *.doc text eol=crlf diff --git a/.github/workflows/fulltest.yaml b/.github/workflows/fulltest.yaml index f5c6049e1..70c800481 100644 --- a/.github/workflows/fulltest.yaml +++ b/.github/workflows/fulltest.yaml @@ -54,7 +54,6 @@ jobs: export ALLOW_OPENAI_API_CALL=0 echo "${{ secrets.METAGPT_KEY_YAML }}" | base64 -d > config/key.yaml mkdir -p ~/.metagpt && echo "${{ secrets.METAGPT_CONFIG2_YAML }}" | base64 -d > ~/.metagpt/config2.yaml - echo "${{ secrets.SPARK_YAML }}" | base64 -d > ~/.metagpt/spark.yaml pytest tests/ --doctest-modules --cov=./metagpt/ --cov-report=xml:cov.xml --cov-report=html:htmlcov --durations=20 | tee unittest.txt - name: Show coverage report run: | diff --git a/.github/workflows/unittest.yaml b/.github/workflows/unittest.yaml index 2e7e3ce2b..afa9faba7 100644 --- a/.github/workflows/unittest.yaml +++ b/.github/workflows/unittest.yaml @@ -31,7 +31,7 @@ jobs: - name: Test with pytest run: | export ALLOW_OPENAI_API_CALL=0 - mkdir -p ~/.metagpt && cp tests/config2.yaml ~/.metagpt/config2.yaml && cp tests/spark.yaml ~/.metagpt/spark.yaml + mkdir -p ~/.metagpt && cp tests/config2.yaml ~/.metagpt/config2.yaml pytest tests/ --doctest-modules --cov=./metagpt/ --cov-report=xml:cov.xml --cov-report=html:htmlcov --durations=20 | tee unittest.txt - name: Show coverage report run: | diff --git a/.gitignore b/.gitignore index 6bc67fa61..aa5edd74a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,7 +1,7 @@ ### Python template # Byte-compiled / optimized / DLL files -__pycache__/ +__pycache__ *.py[cod] *$py.class @@ -27,6 +27,8 @@ share/python-wheels/ .installed.cfg *.egg MANIFEST +metagpt/tools/schemas/ +examples/data/search_kb/*.json # PyInstaller # Usually these files are written by a python scripts from a template @@ -151,9 +153,14 @@ allure-results .vscode key.yaml -data +/data/ data.ms examples/nb/ +examples/default__vector_store.json +examples/docstore.json +examples/graph_store.json +examples/image__vector_store.json +examples/index_store.json .chroma *~$* workspace/* @@ -168,6 +175,7 @@ output tmp.png .dependencies.json tests/metagpt/utils/file_repo_git +tests/data/rsp_cache_new.json *.tmp *.png htmlcov @@ -178,4 +186,5 @@ cov.xml *.faiss *-structure.csv *-structure.json -metagpt/tools/schemas \ No newline at end of file +*.dot +.python-version diff --git a/README.md b/README.md index b6f31901b..edb2066a3 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,10 @@ # MetaGPT: The Multi-Agent Framework

## News +🚀 Mar. 14, 2024: Our **Data Interpreter** paper is on [arxiv](https://arxiv.org/abs/2402.18679). Check the [example](https://docs.deepwisdom.ai/main/en/DataInterpreter/) and [code](https://github.com/geekan/MetaGPT/tree/main/examples/di)! + +🚀 Feb. 08, 2024: [v0.7.0](https://github.com/geekan/MetaGPT/releases/tag/v0.7.0) released, supporting assigning different LLMs to different Roles. We also introduced [Data Interpreter](https://github.com/geekan/MetaGPT/blob/main/examples/di/README.md), a powerful agent capable of solving a wide range of real-world problems. + 🚀 Jan. 16, 2024: Our paper [MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework ](https://arxiv.org/abs/2308.00352) accepted for oral presentation **(top 1.2%)** at ICLR 2024, **ranking #1** in the LLM-based Agent category. @@ -51,20 +55,49 @@ ## Software Company as Multi-Agent System

Software Company Multi-Agent Schematic (Gradually Implementing)

-## Install +## Get Started -### Pip installation +### Installation > Ensure that Python 3.9+ is installed on your system. You can check this by using: `python --version`. > You can use conda like this: `conda create -n metagpt python=3.9 && conda activate metagpt` ```bash -pip install metagpt -metagpt --init-config # create ~/.metagpt/config2.yaml, modify it to your own config +pip install --upgrade metagpt +# or `pip install --upgrade git+https://github.com/geekan/MetaGPT.git` +# or `git clone https://github.com/geekan/MetaGPT && cd MetaGPT && pip install --upgrade -e .` +``` + +For detailed installation guidance, please refer to [cli_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-stable-version) + or [docker_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-with-docker) + +### Configuration + +You can init the config of MetaGPT by running the following command, or manually create `~/.metagpt/config2.yaml` file: +```bash +# Check https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html for more details +metagpt --init-config # it will create ~/.metagpt/config2.yaml, just modify it to your needs +``` + +You can configure `~/.metagpt/config2.yaml` according to the [example](https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml) and [doc](https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html): + +```yaml +llm: + api_type: "openai" # or azure / ollama / open_llm etc. Check LLMType for more options + model: "gpt-4-turbo-preview" # or gpt-3.5-turbo-1106 / gpt-4-1106-preview + base_url: "https://api.openai.com/v1" # or forward url / other llm url + api_key: "YOUR_API_KEY" +``` + +### Usage + +After installation, you can use MetaGPT at CLI + +```bash metagpt "Create a 2048 game" # this will create a repo in ./workspace ``` -or you can use it as library +or use it as library ```python from metagpt.software_company import generate_repo, ProjectRepo @@ -72,28 +105,19 @@ ### Pip installation print(repo) # it will print the repo structure with files ``` -detail installation please refer to [cli_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-stable-version) +You can also use its [Data Interpreter](https://github.com/geekan/MetaGPT/tree/main/examples/di) -### Docker installation -> Note: In the Windows, you need to replace "/opt/metagpt" with a directory that Docker has permission to create, such as "D:\Users\x\metagpt" +```python +import asyncio +from metagpt.roles.di.data_interpreter import DataInterpreter -```bash -# Step 1: Download metagpt official image and prepare config2.yaml -docker pull metagpt/metagpt:latest -mkdir -p /opt/metagpt/{config,workspace} -docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml -vim /opt/metagpt/config/config2.yaml # Change the config +async def main(): + di = DataInterpreter() + await di.run("Run data analysis on sklearn Iris dataset, include a plot") -# Step 2: Run metagpt demo with container -docker run --rm \ - --privileged \ - -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \ - -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:latest \ - metagpt "Create a 2048 game" +asyncio.run(main()) # or await main() in a jupyter notebook setting ``` -detail installation please refer to [docker_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-with-docker) ### QuickStart & Demo Video - Try it on [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT) @@ -113,6 +137,7 @@ ## Tutorial - 🧑‍💻 Contribution - [Develop Roadmap](docs/ROADMAP.md) - 🔖 Use Cases + - [Data Interpreter](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/interpreter/intro.html) - [Debate](https://docs.deepwisdom.ai/main/en/guide/use_cases/multi_agent/debate.html) - [Researcher](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/researcher.html) - [Recepit Assistant](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/receipt_assistant.html) @@ -136,7 +161,9 @@ ### Contact Information ## Citation -For now, cite the [arXiv paper](https://arxiv.org/abs/2308.00352): +To stay updated with the latest research and development, follow [@MetaGPT_](https://twitter.com/MetaGPT_) on Twitter. + +To cite [MetaGPT](https://arxiv.org/abs/2308.00352) or [Data Interpreter](https://arxiv.org/abs/2402.18679) in publications, please use the following BibTeX entries. ```bibtex @misc{hong2023metagpt, @@ -147,4 +174,14 @@ ## Citation archivePrefix={arXiv}, primaryClass={cs.AI} } +@misc{hong2024data, + title={Data Interpreter: An LLM Agent For Data Science}, + author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu}, + year={2024}, + eprint={2402.18679}, + archivePrefix={arXiv}, + primaryClass={cs.AI} +} + ``` + diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 000000000..924ce5015 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,14 @@ +# Security Policy + +## Supported Versions + +| Version | Supported | +|---------|--------------------| + | 0.7.x | :x: | + | 0.6.x | :x: | +| < 0.6.x | :x: | + + +## Reporting a Vulnerability + +If you have any vulnerability reports, please contact alexanderwu@deepwisdom.ai . \ No newline at end of file diff --git a/config/config2.yaml.example b/config/config2.example.yaml similarity index 53% rename from config/config2.yaml.example rename to config/config2.example.yaml index 8f4a33fc1..c5454ec32 100644 --- a/config/config2.yaml.example +++ b/config/config2.example.yaml @@ -1,10 +1,21 @@ llm: - api_type: "openai" + api_type: "openai" # or azure / ollama / open_llm etc. Check LLMType for more options base_url: "YOUR_BASE_URL" api_key: "YOUR_API_KEY" model: "gpt-4-turbo-preview" # or gpt-3.5-turbo-1106 / gpt-4-1106-preview + proxy: "YOUR_PROXY" # for LLM API requests + # timeout: 600 # Optional. If set to 0, default value is 300. + pricing_plan: "" # Optional. If invalid, it will be automatically filled in with the value of the `model`. + # Azure-exclusive pricing plan mappings： + # - gpt-3.5-turbo 4k: "gpt-3.5-turbo-1106" + # - gpt-4-turbo: "gpt-4-turbo-preview" + # - gpt-4-turbo-vision: "gpt-4-vision-preview" + # - gpt-4 8k: "gpt-4" + # See for more: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/ -proxy: "YOUR_PROXY" +repair_llm_output: true # when the output is not a valid json, try to repair it + +proxy: "YOUR_PROXY" # for tools like requests, playwright, selenium, etc. search: api_type: "google" @@ -41,5 +52,3 @@ iflytek_api_key: "YOUR_API_KEY" iflytek_api_secret: "YOUR_API_SECRET" metagpt_tti_url: "YOUR_MODEL_URL" - -repair_llm_output: true diff --git a/config/config2.yaml b/config/config2.yaml index 2c4ca636f..8e5825b57 100644 --- a/config/config2.yaml +++ b/config/config2.yaml @@ -1,3 +1,7 @@ +# Full Example: https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml +# Reflected Code: https://github.com/geekan/MetaGPT/blob/main/metagpt/config2.py llm: - api_key: "YOUR_API_KEY" - model: "gpt-4-turbo-preview" # or gpt-3.5-turbo-1106 / gpt-4-1106-preview \ No newline at end of file + api_type: "openai" # or azure / ollama / open_llm etc. Check LLMType for more options + model: "gpt-4-turbo-preview" # or gpt-3.5-turbo-1106 / gpt-4-1106-preview + base_url: "https://api.openai.com/v1" # or forward url / other llm url + api_key: "YOUR_API_KEY" \ No newline at end of file diff --git a/docs/README_CN.md b/docs/README_CN.md index 7a0db4974..8aea5e4cb 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -116,7 +116,7 @@ ### 联系信息 ## 引用 -引用 [arXiv paper](https://arxiv.org/abs/2308.00352): +如果您在研究论文中使用 MetaGPT 或 Data Interpreter，请引用我们的工作： ```bibtex @misc{hong2023metagpt, @@ -127,4 +127,12 @@ ## 引用 archivePrefix={arXiv}, primaryClass={cs.AI} } +@misc{hong2024data, + title={Data Interpreter: An LLM Agent For Data Science}, + author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu}, + year={2024}, + eprint={2402.18679}, + archivePrefix={arXiv}, + primaryClass={cs.AI} +} ``` diff --git a/docs/README_JA.md b/docs/README_JA.md index c6b99461c..91155532b 100644 --- a/docs/README_JA.md +++ b/docs/README_JA.md @@ -295,7 +295,7 @@ ## クイックスタート ## 引用 -現時点では、[arXiv 論文](https://arxiv.org/abs/2308.00352)を引用してください: +研究論文でMetaGPTやData Interpreterを使用する場合は、以下のように当社の作業を引用してください： ```bibtex @misc{hong2023metagpt, @@ -306,6 +306,14 @@ ## 引用 archivePrefix={arXiv}, primaryClass={cs.AI} } +@misc{hong2024data, + title={Data Interpreter: An LLM Agent For Data Science}, + author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu}, + year={2024}, + eprint={2402.18679}, + archivePrefix={arXiv}, + primaryClass={cs.AI} +} ``` ## お問い合わせ先 diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index 4bb530bf2..ec17cc0ce 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -35,14 +35,14 @@ ### Tasks 3. Strategies 1. Support ReAct strategy (experimentation done with game agents) 2. Support CoT strategy (experimentation done with game agents) - 3. Support ToT strategy + 3. ~~Support ToT strategy~~ (v0.6.0) 4. Support Reflection strategy (experimentation done with game agents) - 5. Support planning + 5. ~~Support planning~~ (v0.7.0) 4. Actions 1. ~~Implementation: Search~~ (v0.2.1) 2. Implementation: Knowledge search, supporting 10+ data formats - 3. Implementation: Data EDA (expected v0.7.0) - 4. Implementation: Review & Revise (expected v0.7.0) + 3. ~~Implementation: Data EDA~~ (v0.7.0) + 4. ~~Implementation: Review & Revise~~ (v0.7.0) 5. ~~Implementation: Add Document~~ (v0.5.0) 6. ~~Implementation: Delete Document~~ (v0.5.0) 7. Implementation: Self-training @@ -50,7 +50,7 @@ ### Tasks 9. Implementation: Generate reliable unit tests based on YAPI 10. Implementation: Self-evaluation 11. Implementation: AI Invocation - 12. Implementation: Learning and using third-party standard libraries + 12. ~~Implementation: Learning and using third-party standard libraries~~ (v0.7.0) 13. Implementation: Data collection 14. Implementation: AI training 15. ~~Implementation: Run code~~ (v0.2.1) @@ -63,14 +63,14 @@ ### Tasks 7. Roles 1. Perfect the action pool/skill pool for each role 2. E-commerce seller - 3. Data analyst (expected v0.7.0) + 3. ~~Data analyst~~ (v0.7.0) 4. News observer 5. ~~Institutional researcher~~ (v0.2.1) 8. Evaluation 1. Support an evaluation on a game dataset (experimentation done with game agents) 2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results (experimentation done with game agents) - 3. Support an evaluation on a math dataset (expected v0.7.0) - 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process + 3. Support an evaluation on a math dataset (expected v0.8.0) + 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process (expected v0.8.0) 9. LLM 1. Support Claude underlying API 2. ~~Support Azure asynchronous API~~ diff --git a/docs/scripts/coverage.sh b/docs/scripts/coverage.sh index a56571399..22e479200 100755 --- a/docs/scripts/coverage.sh +++ b/docs/scripts/coverage.sh @@ -1 +1 @@ -coverage run --source ./metagpt -m pytest --durations=0 --timeout=100 && coverage report -m && coverage html && open htmlcov/index.html +coverage run --source ./metagpt -m pytest -n 8 --durations=0 --timeout=100 && coverage report -m && coverage html && open htmlcov/index.html diff --git a/examples/crawl_webpage.py b/examples/crawl_webpage.py deleted file mode 100644 index 2db9e407b..000000000 --- a/examples/crawl_webpage.py +++ /dev/null @@ -1,22 +0,0 @@ -# -*- encoding: utf-8 -*- -""" -@Date : 2024/01/24 15:11:27 -@Author : orange-crow -@File : crawl_webpage.py -""" - -from metagpt.roles.ci.code_interpreter import CodeInterpreter - - -async def main(): - prompt = """Get data from `paperlist` table in https://papercopilot.com/statistics/iclr-statistics/iclr-2024-statistics/, - and save it to a csv file. paper title must include `multiagent` or `large language model`. *notice: print key variables*""" - ci = CodeInterpreter(goal=prompt, use_tools=True) - - await ci.run(prompt) - - -if __name__ == "__main__": - import asyncio - - asyncio.run(main()) diff --git a/examples/data/rag/travel.txt b/examples/data/rag/travel.txt new file mode 100644 index 000000000..f72ad5c59 --- /dev/null +++ b/examples/data/rag/travel.txt @@ -0,0 +1 @@ +Bob likes traveling. \ No newline at end of file diff --git a/examples/data/rag/writer.txt b/examples/data/rag/writer.txt new file mode 100644 index 000000000..1dc055901 --- /dev/null +++ b/examples/data/rag/writer.txt @@ -0,0 +1,109 @@ +Productivity +I think I am at least somewhat more productive than average, and people sometimes ask me for productivity tips. So I decided to just write them all down in one place. + +Compound growth gets discussed as a financial concept, but it works in careers as well, and it is magic. A small productivity gain, compounded over 50 years, is worth a lot. So it’s worth figuring out how to optimize productivity. If you get 10% more done and 1% better every day compared to someone else, the compounded difference is massive. + +What you work on + +Famous writers have some essential qualities, creativity and discipline + +It doesn’t matter how fast you move if it’s in a worthless direction. Picking the right thing to work on is the most important element of productivity and usually almost ignored. So think about it more! Independent thought is hard but it’s something you can get better at with practice. + +The most impressive people I know have strong beliefs about the world, which is rare in the general population. If you find yourself always agreeing with whomever you last spoke with, that’s bad. You will of course be wrong sometimes, but develop the confidence to stick with your convictions. It will let you be courageous when you’re right about something important that most people don’t see. + +I make sure to leave enough time in my schedule to think about what to work on. The best ways for me to do this are reading books, hanging out with interesting people, and spending time in nature. + +I’ve learned that I can’t be very productive working on things I don’t care about or don’t like. So I just try not to put myself in a position where I have to do them (by delegating, avoiding, or something else). Stuff that you don’t like is a painful drag on morale and momentum. + +By the way, here is an important lesson about delegation: remember that everyone else is also most productive when they’re doing what they like, and do what you’d want other people to do for you—try to figure out who likes (and is good at) doing what, and delegate that way. + +If you find yourself not liking what you’re doing for a long period of time, seriously consider a major job change. Short-term burnout happens, but if it isn’t resolved with some time off, maybe it’s time to do something you’re more interested in. + +I’ve been very fortunate to find work I like so much I’d do it for free, which makes it easy to be really productive. + +It’s important to learn that you can learn anything you want, and that you can get better quickly. This feels like an unlikely miracle the first few times it happens, but eventually you learn to trust that you can do it. + +Doing great work usually requires colleagues of some sort. Try to be around smart, productive, happy, and positive people that don’t belittle your ambitions. I love being around people who push me and inspire me to be better. To the degree you able to, avoid the opposite kind of people—the cost of letting them take up your mental cycles is horrific. + +You have to both pick the right problem and do the work. There aren’t many shortcuts. If you’re going to do something really important, you are very likely going to work both smart and hard. The biggest prizes are heavily competed for. This isn’t true in every field (there are great mathematicians who never spend that many hours a week working) but it is in most. + +Prioritization + +Writers have to work hard to be successful + +My system has three key pillars: “Make sure to get the important shit done”, “Don’t waste time on stupid shit”, and “make a lot of lists”. + +I highly recommend using lists. I make lists of what I want to accomplish each year, each month, and each day. Lists are very focusing, and they help me with multitasking because I don’t have to keep as much in my head. If I’m not in the mood for some particular task, I can always find something else I’m excited to do. + +I prefer lists written down on paper. It’s easy to add and remove tasks. I can access them during meetings without feeling rude. I re-transcribe lists frequently, which forces me to think about everything on the list and gives me an opportunity to add and remove items. + +I don’t bother with categorization or trying to size tasks or anything like that (the most I do is put a star next to really important items). + +I try to prioritize in a way that generates momentum. The more I get done, the better I feel, and then the more I get done. I like to start and end each day with something I can really make progress on. + +I am relentless about getting my most important projects done—I’ve found that if I really want something to happen and I push hard enough, it usually happens. + +I try to be ruthless about saying no to stuff, and doing non-critical things in the quickest way possible. I probably take this too far—for example, I am almost sure I am terse to the point of rudeness when replying to emails. + +Passion and adaptability are key qualities to writers + +I generally try to avoid meetings and conferences as I find the time cost to be huge—I get the most value out of time in my office. However, it is critical that you keep enough space in your schedule to allow for chance encounters and exposure to new people and ideas. Having an open network is valuable; though probably 90% of the random meetings I take are a waste of time, the other 10% really make up for it. + +I find most meetings are best scheduled for 15-20 minutes, or 2 hours. The default of 1 hour is usually wrong, and leads to a lot of wasted time. + +I have different times of day I try to use for different kinds of work. The first few hours of the morning are definitely my most productive time of the day, so I don’t let anyone schedule anything then. I try to do meetings in the afternoon. I take a break, or switch tasks, whenever I feel my attention starting to fade. + +I don’t think most people value their time enough—I am surprised by the number of people I know who make $100 an hour and yet will spend a couple of hours doing something they don’t want to do to save $20. + +Also, don’t fall into the trap of productivity porn—chasing productivity for its own sake isn’t helpful. Many people spend too much time thinking about how to perfectly optimize their system, and not nearly enough asking if they’re working on the right problems. It doesn’t matter what system you use or if you squeeze out every second if you’re working on the wrong thing. + +The right goal is to allocate your year optimally, not your day. + +Physical factors + +Very likely what is optimal for me won’t be optimal for you. You’ll have to experiment to find out what works best for your body. It’s definitely worth doing—it helps in all aspects of life, and you’ll feel a lot better and happier overall. + +It probably took a little bit of my time every week for a few years to arrive at what works best for me, but my sense is if I do a good job at all the below I’m at least 1.5x more productive than if not. + +Sleep seems to be the most important physical factor in productivity for me. Some sort of sleep tracker to figure out how to sleep best is helpful. I’ve found the only thing I’m consistent with are in the set-it-and-forget-it category, and I really like the Emfit QS+Active. + +I like a cold, dark, quiet room, and a great mattress (I resisted spending a bunch of money on a great mattress for years, which was stupid—it makes a huge difference to my sleep quality. I love this one). Not eating a lot in the few hours before sleep helps. Not drinking alcohol helps a lot, though I’m not willing to do that all the time. + +I use a Chili Pad to be cold while I sleep if I can’t get the room cold enough, which is great but loud (I set it up to have the cooler unit outside my room). + +When traveling, I use an eye mask and ear plugs. + +Writers usually have empathy to write good books. + +This is likely to be controversial, but I take a low dose of sleeping pills (like a third of a normal dose) or a very low dose of cannabis whenever I can’t sleep. I am a bad sleeper in general, and a particularly bad sleeper when I travel. It likely has tradeoffs, but so does not sleeping well. If you can already sleep well, I wouldn’t recommend this. + +I use a full spectrum LED light most mornings for about 10-15 minutes while I catch up on email. It’s great—if you try nothing else in here, this is the thing I’d try. It’s a ridiculous gain for me. I like this one, and it’s easy to travel with. + +Exercise is probably the second most important physical factor. I tried a number of different exercise programs for a few months each and the one that seemed best was lifting heavy weights 3x a week for an hour, and high intensity interval training occasionally. In addition to productivity gains, this is also the exercise program that makes me feel the best overall. + +The third area is nutrition. I very rarely eat breakfast, so I get about 15 hours of fasting most days (except an espresso when I wake up). I know this is contrary to most advice, and I suspect it’s not optimal for most people, but it definitely works well for me. + +Eating lots of sugar is the thing that makes me feel the worst and that I try hardest to avoid. I also try to avoid foods that aggravate my digestion or spike up inflammation (for example, very spicy foods). I don’t have much willpower when it comes to sweet things, so I mostly just try to keep junk food out of the house. + +I have one big shot of espresso immediately when I wake up and one after lunch. I assume this is about 200mg total of caffeine per day. I tried a few other configurations; this was the one that worked by far the best. I otherwise aggressively avoid stimulants, but I will have more coffee if I’m super tired and really need to get something done. + +If a writer want to be super, then should include innovative thinking. + +I’m vegetarian and have been since I was a kid, and I supplement methyl B-12, Omega-3, Iron, and Vitamin D-3. I got to this list with a year or so of quarterly blood tests; it’s worked for me ever since (I re-test maybe every year and a half or so). There are many doctors who will happily work with you on a super comprehensive blood test (and services like WellnessFX). I also go out of my way to drink a lot of protein shakes, which I hate and I wouldn’t do if I weren’t vegetarian. + +Other stuff + +Here’s what I like in a workspace: natural light, quiet, knowing that I won’t be interrupted if I don’t want to be, long blocks of time, and being comfortable and relaxed (I’ve got a beautiful desk with a couple of 4k monitors on it in my office, but I spend almost all my time on my couch with my laptop). + +I wrote custom software for the annoying things I have to do frequently, which is great. I also made an effort to learn to type really fast and the keyboard shortcuts that help with my workflow. + +Like most people, I sometimes go through periods of a week or two where I just have no motivation to do anything (I suspect it may have something to do with nutrition). This sucks and always seems to happen at inconvenient times. I have not figured out what to do about it besides wait for the fog to lift, and to trust that eventually it always does. And I generally try to avoid people and situations that put me in bad moods, which is good advice whether you care about productivity or not. + +In general, I think it’s good to overcommit a little bit. I find that I generally get done what I take on, and if I have a little bit too much to do it makes me more efficient at everything, which is a way to train to avoid distractions (a great habit to build!). However, overcommitting a lot is disastrous. + +Don’t neglect your family and friends for the sake of productivity—that’s a very stupid tradeoff (and very likely a net productivity loss, because you’ll be less happy). Don’t neglect doing things you love or that clear your head either. + +Finally, to repeat one more time: productivity in the wrong direction isn’t worth anything at all. Think more about what to work on. + +Open-Mindedness and curiosity are essential to writers + diff --git a/examples/example.json b/examples/data/search_kb/example.json similarity index 100% rename from examples/example.json rename to examples/data/search_kb/example.json diff --git a/examples/example.xlsx b/examples/data/search_kb/example.xlsx similarity index 100% rename from examples/example.xlsx rename to examples/data/search_kb/example.xlsx diff --git a/examples/debate.py b/examples/debate.py index 72ab8796d..56df16b4f 100644 --- a/examples/debate.py +++ b/examples/debate.py @@ -5,6 +5,7 @@ Author: garylin2099 @Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.1.3 of RFC 116, modify the data type of the `send_to` value of the `Message` object; modify the argument type of `get_by_actions`. """ + import asyncio import platform from typing import Any @@ -105,4 +106,4 @@ def main(idea: str, investment: float = 3.0, n_round: int = 10): if __name__ == "__main__": - fire.Fire(main) + fire.Fire(main) # run as python debate.py --idea="TOPIC" --investment=3.0 --n_round=5 diff --git a/examples/debate_simple.py b/examples/debate_simple.py index 869e02a0e..953f664f3 100644 --- a/examples/debate_simple.py +++ b/examples/debate_simple.py @@ -8,14 +8,17 @@ import asyncio from metagpt.actions import Action +from metagpt.config2 import Config from metagpt.environment import Environment from metagpt.roles import Role from metagpt.team import Team -action1 = Action(name="AlexSay", instruction="Express your opinion with emotion and don't repeat it") -action1.llm.model = "gpt-4-1106-preview" -action2 = Action(name="BobSay", instruction="Express your opinion with emotion and don't repeat it") -action2.llm.model = "gpt-3.5-turbo-1106" +gpt35 = Config.default() +gpt35.llm.model = "gpt-3.5-turbo-1106" +gpt4 = Config.default() +gpt4.llm.model = "gpt-4-1106-preview" +action1 = Action(config=gpt4, name="AlexSay", instruction="Express your opinion with emotion and don't repeat it") +action2 = Action(config=gpt35, name="BobSay", instruction="Express your opinion with emotion and don't repeat it") alex = Role(name="Alex", profile="Democratic candidate", goal="Win the election", actions=[action1], watch=[action2]) bob = Role(name="Bob", profile="Republican candidate", goal="Win the election", actions=[action2], watch=[action1]) env = Environment(desc="US election live broadcast") diff --git a/examples/di/README.md b/examples/di/README.md new file mode 100644 index 000000000..f63795f13 --- /dev/null +++ b/examples/di/README.md @@ -0,0 +1,20 @@ +# Data Interpreter (DI) + +## What is Data Interpreter +Data Interpreter is an agent who solves data-related problems through codes. It understands user requirements, makes plans, writes codes for execution, and uses tools if necessary. These capabilities enable it to tackle a wide range of scenarios, please check out the examples below. For overall design and technical details, please see our [paper](https://arxiv.org/abs/2402.18679). + +## Example List +- Data visualization +- Machine learning modeling +- Image background removal +- Solve math problems +- Receipt OCR +- Tool usage: web page imitation +- Tool usage: web crawling +- Tool usage: text2image +- Tool usage: email summarization and response\ +- More on the way! + +Please see the [docs](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/interpreter/intro.html) for more explanation. + +We are continuously releasing codes, stay tuned! diff --git a/examples/di/arxiv_reader.py b/examples/di/arxiv_reader.py new file mode 100644 index 000000000..6e1939b81 --- /dev/null +++ b/examples/di/arxiv_reader.py @@ -0,0 +1,21 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +from metagpt.roles.di.data_interpreter import DataInterpreter + + +async def main(): + template = "https://arxiv.org/list/{tag}/pastweek?skip=0&show=300" + tags = ["cs.ai", "cs.cl", "cs.lg", "cs.se"] + urls = [template.format(tag=tag) for tag in tags] + prompt = f"""This is a collection of arxiv urls: '{urls}' . +Record each article, remove duplicates by title (they may have multiple tags), filter out papers related to +large language model / agent / llm, print top 100 and visualize the word count of the titles""" + di = DataInterpreter(react_mode="react", tools=["scrape_web_playwright"]) + + await di.run(prompt) + + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/di/crawl_webpage.py b/examples/di/crawl_webpage.py new file mode 100644 index 000000000..b8226f4f4 --- /dev/null +++ b/examples/di/crawl_webpage.py @@ -0,0 +1,40 @@ +# -*- encoding: utf-8 -*- +""" +@Date : 2024/01/24 15:11:27 +@Author : orange-crow +@File : crawl_webpage.py +""" + +from metagpt.roles.di.data_interpreter import DataInterpreter + +PAPER_LIST_REQ = """" +Get data from `paperlist` table in https://papercopilot.com/statistics/iclr-statistics/iclr-2024-statistics/, +and save it to a csv file. paper title must include `multiagent` or `large language model`. *notice: print key variables* +""" + +ECOMMERCE_REQ = """ +Get products data from website https://scrapeme.live/shop/ and save it as a csv file. +**Notice: Firstly parse the web page encoding and the text HTML structure; +The first page product name, price, product URL, and image URL must be saved in the csv;** +""" + +NEWS_36KR_REQ = """从36kr创投平台https://pitchhub.36kr.com/financing-flash 所有初创企业融资的信息, **注意: 这是一个中文网站**; +下面是一个大致流程, 你会根据每一步的运行结果对当前计划中的任务做出适当调整: +1. 爬取并本地保存html结构; +2. 直接打印第7个*`快讯`*关键词后2000个字符的html内容, 作为*快讯的html内容示例*; +3. 反思*快讯的html内容示例*中的规律, 设计正则匹配表达式来获取*`快讯`*的标题、链接、时间; +4. 筛选最近3天的初创企业融资*`快讯`*, 以list[dict]形式打印前5个。 +5. 将全部结果存在本地csv中 +""" + + +async def main(): + di = DataInterpreter(tools=["scrape_web_playwright"]) + + await di.run(ECOMMERCE_REQ) + + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/di/custom_tool.py b/examples/di/custom_tool.py new file mode 100644 index 000000000..cbe7380c7 --- /dev/null +++ b/examples/di/custom_tool.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2024/3/22 10:54 +@Author : alexanderwu +@File : custom_tool.py +""" + +from metagpt.roles.di.data_interpreter import DataInterpreter +from metagpt.tools.tool_registry import register_tool + + +@register_tool() +def magic_function(arg1: str, arg2: int) -> dict: + """ + The magic function that does something. + + Args: + arg1 (str): ... + arg2 (int): ... + + Returns: + dict: ... + """ + return {"arg1": arg1 * 3, "arg2": arg2 * 5} + + +async def main(): + di = DataInterpreter(tools=["magic_function"]) + await di.run("Just call the magic function with arg1 'A' and arg2 2. Tell me the result.") + + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/di/data_visualization.py b/examples/di/data_visualization.py new file mode 100644 index 000000000..184e04f26 --- /dev/null +++ b/examples/di/data_visualization.py @@ -0,0 +1,17 @@ +import asyncio + +from metagpt.logs import logger +from metagpt.roles.di.data_interpreter import DataInterpreter +from metagpt.utils.recovery_util import save_history + + +async def main(requirement: str = ""): + di = DataInterpreter() + rsp = await di.run(requirement) + logger.info(rsp) + save_history(role=di) + + +if __name__ == "__main__": + requirement = "Run data analysis on sklearn Iris dataset, include a plot" + asyncio.run(main(requirement)) diff --git a/examples/di/email_summary.py b/examples/di/email_summary.py new file mode 100644 index 000000000..7c112767c --- /dev/null +++ b/examples/di/email_summary.py @@ -0,0 +1,33 @@ +# -*- encoding: utf-8 -*- +""" +@Date : 2024/02/07 +@Author : Tuo Zhou +@File : email_summary.py +""" +import os + +from metagpt.roles.di.data_interpreter import DataInterpreter + + +async def main(): + email_account = "your_email_account" + # your password will stay only on your device and not go to LLM api + os.environ["email_password"] = "your_email_password" + + ### Prompt for automatic email reply, uncomment to try this too ### + # prompt = f"""I will give you your Outlook email account ({email_account}) and password (email_password item in the environment variable). You need to find the latest email in my inbox with the sender's suffix @gmail.com and reply "Thank you! I have received your email~""""" + + ### Prompt for automatic email summary ### + prompt = f"""I will give you your Outlook email account ({email_account}) and password (email_password item in the environment variable). + Firstly, Please help me fetch the latest 5 senders and full letter contents. + Then, summarize each of the 5 emails into one sentence (you can do this by yourself, no need to import other models to do this) and output them in a markdown format.""" + + di = DataInterpreter() + + await di.run(prompt) + + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/imitate_webpage.py b/examples/di/imitate_webpage.py similarity index 73% rename from examples/imitate_webpage.py rename to examples/di/imitate_webpage.py index 5075e1e39..60ebab389 100644 --- a/examples/imitate_webpage.py +++ b/examples/di/imitate_webpage.py @@ -5,19 +5,18 @@ @Author : mannaandpoem @File : imitate_webpage.py """ -from metagpt.roles.ci.code_interpreter import CodeInterpreter +from metagpt.roles.di.data_interpreter import DataInterpreter async def main(): web_url = "https://pytorch.org/" prompt = f"""This is a URL of webpage: '{web_url}' . Firstly, utilize Selenium and WebDriver for rendering. -Secondly, convert image to a webpage including HTML, CSS and JS in one go. -Finally, save webpage in a text file. +Secondly, convert image to a webpage including HTML, CSS and JS in one go. Note: All required dependencies and environments have been fully installed and configured.""" - ci = CodeInterpreter(goal=prompt, use_tools=True) + di = DataInterpreter(tools=["GPTvGenerator"]) - await ci.run(prompt) + await di.run(prompt) if __name__ == "__main__": diff --git a/examples/di/machine_learning.py b/examples/di/machine_learning.py new file mode 100644 index 000000000..c674e66e8 --- /dev/null +++ b/examples/di/machine_learning.py @@ -0,0 +1,23 @@ +import fire + +from metagpt.roles.di.data_interpreter import DataInterpreter + +WINE_REQ = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy." + +DATA_DIR = "path/to/your/data" +# sales_forecast data from https://www.kaggle.com/datasets/aslanahmedov/walmart-sales-forecast/data +SALES_FORECAST_REQ = f"""Train a model to predict sales for each department in every store (split the last 40 weeks records as validation dataset, the others is train dataset), include plot total sales trends, print metric and plot scatter plots of +groud truth and predictions on validation data. Dataset is {DATA_DIR}/train.csv, the metric is weighted mean absolute error (WMAE) for test data. Notice: *print* key variables to get more information for next task step. +""" + +REQUIREMENTS = {"wine": WINE_REQ, "sales_forecast": SALES_FORECAST_REQ} + + +async def main(use_case: str = "wine"): + mi = DataInterpreter() + requirement = REQUIREMENTS[use_case] + await mi.run(requirement) + + +if __name__ == "__main__": + fire.Fire(main) diff --git a/examples/di/machine_learning_with_tools.py b/examples/di/machine_learning_with_tools.py new file mode 100644 index 000000000..291e734c8 --- /dev/null +++ b/examples/di/machine_learning_with_tools.py @@ -0,0 +1,16 @@ +import asyncio + +from metagpt.roles.di.data_interpreter import DataInterpreter + + +async def main(requirement: str): + role = DataInterpreter(use_reflection=True, tools=[""]) + await role.run(requirement) + + +if __name__ == "__main__": + data_path = "your/path/to/titanic" + train_path = f"{data_path}/split_train.csv" + eval_path = f"{data_path}/split_eval.csv" + requirement = f"This is a titanic passenger survival dataset, your goal is to predict passenger survival outcome. The target column is Survived. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report accuracy on the eval data. Train data path: '{train_path}', eval data path: '{eval_path}'." + asyncio.run(main(requirement)) diff --git a/examples/di/ocr_receipt.py b/examples/di/ocr_receipt.py new file mode 100644 index 000000000..af54d519b --- /dev/null +++ b/examples/di/ocr_receipt.py @@ -0,0 +1,21 @@ +from metagpt.roles.di.data_interpreter import DataInterpreter + + +async def main(): + # Notice: pip install metagpt[ocr] before using this example + image_path = "image.jpg" + language = "English" + requirement = f"""This is a {language} receipt image. + Your goal is to perform OCR on images using PaddleOCR, output text content from the OCR results and discard + coordinates and confidence levels, then recognize the total amount from ocr text content, and finally save as table. + Image path: {image_path}. + NOTE: The environments for Paddle and PaddleOCR are all ready and has been fully installed.""" + di = DataInterpreter() + + await di.run(requirement) + + +if __name__ == "__main__": + import asyncio + + asyncio.run(main()) diff --git a/examples/di/rm_image_background.py b/examples/di/rm_image_background.py new file mode 100644 index 000000000..cb7900a0a --- /dev/null +++ b/examples/di/rm_image_background.py @@ -0,0 +1,15 @@ +import asyncio + +from metagpt.roles.di.data_interpreter import DataInterpreter + + +async def main(requirement: str = ""): + di = DataInterpreter() + await di.run(requirement) + + +if __name__ == "__main__": + image_path = "/your/path/to/the/image.jpeg" + save_path = "/your/intended/save/path/for/image_rm_bg.png" + requirement = f"This is a image, you need to use python toolkit rembg to remove the background of the image and save the result. image path:{image_path}; save path:{save_path}." + asyncio.run(main(requirement)) diff --git a/examples/sd_tool_usage.py b/examples/di/sd_tool_usage.py similarity index 70% rename from examples/sd_tool_usage.py rename to examples/di/sd_tool_usage.py index b4642af23..b373a6251 100644 --- a/examples/sd_tool_usage.py +++ b/examples/di/sd_tool_usage.py @@ -4,12 +4,12 @@ # @Desc : import asyncio -from metagpt.roles.ci.code_interpreter import CodeInterpreter +from metagpt.roles.di.data_interpreter import DataInterpreter async def main(requirement: str = ""): - code_interpreter = CodeInterpreter(use_tools=True, goal=requirement) - await code_interpreter.run(requirement) + di = DataInterpreter(tools=["SDEngine"]) + await di.run(requirement) if __name__ == "__main__": diff --git a/examples/di/solve_math_problems.py b/examples/di/solve_math_problems.py new file mode 100644 index 000000000..f7fd3d4e3 --- /dev/null +++ b/examples/di/solve_math_problems.py @@ -0,0 +1,14 @@ +import asyncio + +from metagpt.roles.di.data_interpreter import DataInterpreter + + +async def main(requirement: str = ""): + di = DataInterpreter() + await di.run(requirement) + + +if __name__ == "__main__": + requirement = "Solve this math problem: The greatest common divisor of positive integers m and n is 6. The least common multiple of m and n is 126. What is the least possible value of m + n?" + # answer: 60 (m = 18, n = 42) + asyncio.run(main(requirement)) diff --git a/examples/llm_hello_world.py b/examples/llm_hello_world.py index 1d132eb8a..62fc2ed68 100644 --- a/examples/llm_hello_world.py +++ b/examples/llm_hello_world.py @@ -6,16 +6,25 @@ @File : llm_hello_world.py """ import asyncio -from pathlib import Path from metagpt.llm import LLM from metagpt.logs import logger -from metagpt.utils.common import encode_image async def main(): llm = LLM() - logger.info(await llm.aask("hello world")) + # llm type check + question = "what's your name" + logger.info(f"{question}: ") + logger.info(await llm.aask(question)) + logger.info("\n\n") + + logger.info( + await llm.aask( + "who are you", system_msgs=["act as a robot, just answer 'I'am robot' if the question is 'who are you'"] + ) + ) + logger.info(await llm.aask_batch(["hi", "write python hello world."])) hello_msg = [{"role": "user", "content": "count from 1 to 10. split by newline."}] @@ -29,12 +38,6 @@ async def main(): if hasattr(llm, "completion"): logger.info(llm.completion(hello_msg)) - # check if the configured llm supports llm-vision capacity. If not, it will throw a error - invoice_path = Path(__file__).parent.joinpath("..", "tests", "data", "invoices", "invoice-2.png") - img_base64 = encode_image(invoice_path) - res = await llm.aask(msg="if this is a invoice, just return True else return False", images=[img_base64]) - assert "true" in res.lower() - if __name__ == "__main__": asyncio.run(main()) diff --git a/examples/llm_vision.py b/examples/llm_vision.py new file mode 100644 index 000000000..276decd59 --- /dev/null +++ b/examples/llm_vision.py @@ -0,0 +1,23 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : example to run the ability of LLM vision + +import asyncio +from pathlib import Path + +from metagpt.llm import LLM +from metagpt.utils.common import encode_image + + +async def main(): + llm = LLM() + + # check if the configured llm supports llm-vision capacity. If not, it will throw a error + invoice_path = Path(__file__).parent.joinpath("..", "tests", "data", "invoices", "invoice-2.png") + img_base64 = encode_image(invoice_path) + res = await llm.aask(msg="if this is a invoice, just return True else return False", images=[img_base64]) + assert "true" in res.lower() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/rag_pipeline.py b/examples/rag_pipeline.py new file mode 100644 index 000000000..5a313d7bb --- /dev/null +++ b/examples/rag_pipeline.py @@ -0,0 +1,211 @@ +"""RAG pipeline""" + +import asyncio + +from pydantic import BaseModel + +from metagpt.const import DATA_PATH, EXAMPLE_DATA_PATH +from metagpt.logs import logger +from metagpt.rag.engines import SimpleEngine +from metagpt.rag.schema import ( + BM25RetrieverConfig, + ChromaIndexConfig, + ChromaRetrieverConfig, + FAISSRetrieverConfig, + LLMRankerConfig, +) + +DOC_PATH = EXAMPLE_DATA_PATH / "rag/writer.txt" +QUESTION = "What are key qualities to be a good writer?" + +TRAVEL_DOC_PATH = EXAMPLE_DATA_PATH / "rag/travel.txt" +TRAVEL_QUESTION = "What does Bob like?" + +LLM_TIP = "If you not sure, just answer I don't know." + + +class Player(BaseModel): + """To demonstrate rag add objs.""" + + name: str = "" + goal: str = "Win The 100-meter Sprint." + tool: str = "Red Bull Energy Drink." + + def rag_key(self) -> str: + """For search""" + return self.goal + + +class RAGExample: + """Show how to use RAG.""" + + def __init__(self): + self.engine = SimpleEngine.from_docs( + input_files=[DOC_PATH], + retriever_configs=[FAISSRetrieverConfig(), BM25RetrieverConfig()], + ranker_configs=[LLMRankerConfig()], + ) + + async def run_pipeline(self, question=QUESTION, print_title=True): + """This example run rag pipeline, use faiss&bm25 retriever and llm ranker, will print something like: + + Retrieve Result: + 0. Productivi..., 10.0 + 1. I wrote cu..., 7.0 + 2. I highly r..., 5.0 + + Query Result: + Passion, adaptability, open-mindedness, creativity, discipline, and empathy are key qualities to be a good writer. + """ + if print_title: + self._print_title("Run Pipeline") + + nodes = await self.engine.aretrieve(question) + self._print_retrieve_result(nodes) + + answer = await self.engine.aquery(question) + self._print_query_result(answer) + + async def add_docs(self): + """This example show how to add docs. + + Before add docs llm anwser I don't know. + After add docs llm give the correct answer, will print something like: + + [Before add docs] + Retrieve Result: + + Query Result: + Empty Response + + [After add docs] + Retrieve Result: + 0. Bob like..., 10.0 + + Query Result: + Bob likes traveling. + """ + self._print_title("Add Docs") + + travel_question = f"{TRAVEL_QUESTION}{LLM_TIP}" + travel_filepath = TRAVEL_DOC_PATH + + logger.info("[Before add docs]") + await self.run_pipeline(question=travel_question, print_title=False) + + logger.info("[After add docs]") + self.engine.add_docs([travel_filepath]) + await self.run_pipeline(question=travel_question, print_title=False) + + async def add_objects(self, print_title=True): + """This example show how to add objects. + + Before add docs, engine retrieve nothing. + After add objects, engine give the correct answer, will print something like: + + [Before add objs] + Retrieve Result: + + [After add objs] + Retrieve Result: + 0. 100m Sprin..., 10.0 + + [Object Detail] + {'name': 'Mike', 'goal': 'Win The 100-meter Sprint', 'tool': 'Red Bull Energy Drink'} + """ + if print_title: + self._print_title("Add Objects") + + player = Player(name="Mike") + question = f"{player.rag_key()}" + + logger.info("[Before add objs]") + await self._retrieve_and_print(question) + + logger.info("[After add objs]") + self.engine.add_objs([player]) + + try: + nodes = await self._retrieve_and_print(question) + + logger.info("[Object Detail]") + player: Player = nodes[0].metadata["obj"] + logger.info(player.name) + except Exception as e: + logger.error(f"nodes is empty, llm don't answer correctly, exception: {e}") + + async def init_objects(self): + """This example show how to from objs, will print something like: + + Same as add_objects. + """ + self._print_title("Init Objects") + + pre_engine = self.engine + self.engine = SimpleEngine.from_objs(retriever_configs=[FAISSRetrieverConfig()]) + await self.add_objects(print_title=False) + self.engine = pre_engine + + async def init_and_query_chromadb(self): + """This example show how to use chromadb. how to save and load index. will print something like: + + Query Result: + Bob likes traveling. + """ + self._print_title("Init And Query ChromaDB") + + # save index + output_dir = DATA_PATH / "rag" + SimpleEngine.from_docs( + input_files=[TRAVEL_DOC_PATH], + retriever_configs=[ChromaRetrieverConfig(persist_path=output_dir)], + ) + + # load index + engine = SimpleEngine.from_index( + index_config=ChromaIndexConfig(persist_path=output_dir), + ) + + # query + answer = engine.query(TRAVEL_QUESTION) + self._print_query_result(answer) + + @staticmethod + def _print_title(title): + logger.info(f"{'#'*30} {title} {'#'*30}") + + @staticmethod + def _print_retrieve_result(result): + """Print retrieve result.""" + logger.info("Retrieve Result:") + + for i, node in enumerate(result): + logger.info(f"{i}. {node.text[:10]}..., {node.score}") + + logger.info("") + + @staticmethod + def _print_query_result(result): + """Print query result.""" + logger.info("Query Result:") + + logger.info(f"{result}\n") + + async def _retrieve_and_print(self, question): + nodes = await self.engine.aretrieve(question) + self._print_retrieve_result(nodes) + return nodes + + +async def main(): + """RAG pipeline""" + e = RAGExample() + await e.run_pipeline() + await e.add_docs() + await e.add_objects() + await e.init_objects() + await e.init_and_query_chromadb() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/rag_search.py b/examples/rag_search.py new file mode 100644 index 000000000..258c5ba60 --- /dev/null +++ b/examples/rag_search.py @@ -0,0 +1,21 @@ +"""Agent with RAG search.""" + +import asyncio + +from examples.rag_pipeline import DOC_PATH, QUESTION +from metagpt.logs import logger +from metagpt.rag.engines import SimpleEngine +from metagpt.roles import Sales + + +async def search(): + """Agent with RAG search.""" + + store = SimpleEngine.from_docs(input_files=[DOC_PATH]) + role = Sales(profile="Sales", store=store) + result = await role.run(QUESTION) + logger.info(result) + + +if __name__ == "__main__": + asyncio.run(search()) diff --git a/examples/reverse_engineering.py b/examples/reverse_engineering.py new file mode 100644 index 000000000..f80fc09e6 --- /dev/null +++ b/examples/reverse_engineering.py @@ -0,0 +1,72 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- + +import asyncio +import shutil +from pathlib import Path + +import typer + +from metagpt.actions.rebuild_class_view import RebuildClassView +from metagpt.actions.rebuild_sequence_view import RebuildSequenceView +from metagpt.context import Context +from metagpt.llm import LLM +from metagpt.logs import logger +from metagpt.utils.git_repository import GitRepository +from metagpt.utils.project_repo import ProjectRepo + +app = typer.Typer(add_completion=False, pretty_exceptions_show_locals=False) + + +@app.command("", help="Python project reverse engineering.") +def startup( + project_root: str = typer.Argument( + default="", + help="Specify the root directory of the existing project for reverse engineering.", + ), + output_dir: str = typer.Option(default="", help="Specify the output directory path for reverse engineering."), +): + package_root = Path(project_root) + if not package_root.exists(): + raise FileNotFoundError(f"{project_root} not exists") + if not _is_python_package_root(package_root): + raise FileNotFoundError(f'There are no "*.py" files under "{project_root}".') + init_file = package_root / "__init__.py" # used by pyreverse + init_file_exists = init_file.exists() + if not init_file_exists: + init_file.touch() + + if not output_dir: + output_dir = package_root / "../reverse_engineering_output" + logger.info(f"output dir:{output_dir}") + try: + asyncio.run(reverse_engineering(package_root, Path(output_dir))) + finally: + if not init_file_exists: + init_file.unlink(missing_ok=True) + tmp_dir = package_root / "__dot__" + if tmp_dir.exists(): + shutil.rmtree(tmp_dir, ignore_errors=True) + + +def _is_python_package_root(package_root: Path) -> bool: + for file_path in package_root.iterdir(): + if file_path.is_file(): + if file_path.suffix == ".py": + return True + return False + + +async def reverse_engineering(package_root: Path, output_dir: Path): + ctx = Context() + ctx.git_repo = GitRepository(output_dir) + ctx.repo = ProjectRepo(ctx.git_repo) + action = RebuildClassView(name="ReverseEngineering", i_context=str(package_root), llm=LLM(), context=ctx) + await action.run() + + action = RebuildSequenceView(name="ReverseEngineering", llm=LLM(), context=ctx) + await action.run() + + +if __name__ == "__main__": + app() diff --git a/examples/search_kb.py b/examples/search_kb.py deleted file mode 100644 index 995720cc1..000000000 --- a/examples/search_kb.py +++ /dev/null @@ -1,33 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -@File : search_kb.py -@Modified By: mashenquan, 2023-12-22. Delete useless codes. -""" -import asyncio - -from langchain.embeddings import OpenAIEmbeddings - -from metagpt.config2 import config -from metagpt.const import DATA_PATH, EXAMPLE_PATH -from metagpt.document_store import FaissStore -from metagpt.logs import logger -from metagpt.roles import Sales - - -def get_store(): - llm = config.get_openai_llm() - embedding = OpenAIEmbeddings(openai_api_key=llm.api_key, openai_api_base=llm.base_url) - return FaissStore(DATA_PATH / "example.json", embedding=embedding) - - -async def search(): - store = FaissStore(EXAMPLE_PATH / "example.json") - role = Sales(profile="Sales", store=store) - query = "Which facial cleanser is good for oily skin?" - result = await role.run(query) - logger.info(result) - - -if __name__ == "__main__": - asyncio.run(search()) diff --git a/examples/search_with_specific_engine.py b/examples/search_with_specific_engine.py index 97b1378ee..276431ed8 100644 --- a/examples/search_with_specific_engine.py +++ b/examples/search_with_specific_engine.py @@ -4,21 +4,17 @@ """ import asyncio +from metagpt.config2 import Config from metagpt.roles import Searcher -from metagpt.tools.search_engine import SearchEngine, SearchEngineType +from metagpt.tools.search_engine import SearchEngine async def main(): question = "What are the most interesting human facts?" - kwargs = {"api_key": "", "cse_id": "", "proxy": None} - # Serper API - # await Searcher(search_engine=SearchEngine(engine=SearchEngineType.SERPER_GOOGLE, **kwargs)).run(question) - # SerpAPI - # await Searcher(search_engine=SearchEngine(engine=SearchEngineType.SERPAPI_GOOGLE, **kwargs)).run(question) - # Google API - # await Searcher(search_engine=SearchEngine(engine=SearchEngineType.DIRECT_GOOGLE, **kwargs)).run(question) - # DDG API - await Searcher(search_engine=SearchEngine(engine=SearchEngineType.DUCK_DUCK_GO, **kwargs)).run(question) + + search = Config.default().search + kwargs = search.model_dump() + await Searcher(search_engine=SearchEngine(engine=search.api_type, **kwargs)).run(question) if __name__ == "__main__": diff --git a/examples/write_novel.py b/examples/write_novel.py index b272a56e6..a6e9ce05d 100644 --- a/examples/write_novel.py +++ b/examples/write_novel.py @@ -14,6 +14,22 @@ from metagpt.actions.action_node import ActionNode from metagpt.llm import LLM +class Chapter(BaseModel): + name: str = Field(default="Chapter 1", description="The name of the chapter.") + content: str = Field(default="...", description="The content of the chapter. No more than 1000 words.") + + +class Chapters(BaseModel): + chapters: List[Chapter] = Field( + default=[ + {"name": "Chapter 1", "content": "..."}, + {"name": "Chapter 2", "content": "..."}, + {"name": "Chapter 3", "content": "..."}, + ], + description="The chapters of the novel.", + ) + + class Novel(BaseModel): name: str = Field(default="The Lord of the Rings", description="The name of the novel.") user_group: str = Field(default="...", description="The user group of the novel.") @@ -28,22 +44,17 @@ class Novel(BaseModel): ending: str = Field(default="...", description="The ending of the novel.") -class Chapter(BaseModel): - name: str = Field(default="Chapter 1", description="The name of the chapter.") - content: str = Field(default="...", description="The content of the chapter. No more than 1000 words.") - - async def generate_novel(): instruction = ( - "Write a novel named 'Harry Potter in The Lord of the Rings'. " + "Write a novel named 'Reborn in Skyrim'. " "Fill the empty nodes with your own ideas. Be creative! Use your own words!" "I will tip you $100,000 if you write a good novel." ) novel_node = await ActionNode.from_pydantic(Novel).fill(context=instruction, llm=LLM()) - chap_node = await ActionNode.from_pydantic(Chapter).fill( + chap_node = await ActionNode.from_pydantic(Chapters).fill( context=f"### instruction\n{instruction}\n### novel\n{novel_node.content}", llm=LLM() ) - print(chap_node.content) + print(chap_node.instruct_content) asyncio.run(generate_novel()) diff --git a/metagpt/actions/__init__.py b/metagpt/actions/__init__.py index 363b4fd33..495ed4031 100644 --- a/metagpt/actions/__init__.py +++ b/metagpt/actions/__init__.py @@ -22,9 +22,9 @@ from metagpt.actions.write_code_review import WriteCodeReview from metagpt.actions.write_prd import WritePRD from metagpt.actions.write_prd_review import WritePRDReview from metagpt.actions.write_test import WriteTest -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode -from metagpt.actions.ci.write_analysis_code import WriteCodeWithoutTools, WriteCodeWithTools -from metagpt.actions.ci.write_plan import WritePlan +from metagpt.actions.di.execute_nb_code import ExecuteNbCode +from metagpt.actions.di.write_analysis_code import WriteAnalysisCode +from metagpt.actions.di.write_plan import WritePlan class ActionType(Enum): @@ -46,8 +46,7 @@ class ActionType(Enum): WEB_BROWSE_AND_SUMMARIZE = WebBrowseAndSummarize CONDUCT_RESEARCH = ConductResearch EXECUTE_NB_CODE = ExecuteNbCode - WRITE_CODE_WITHOUT_TOOLS = WriteCodeWithoutTools - WRITE_CODE_WITH_TOOLS = WriteCodeWithTools + WRITE_ANALYSIS_CODE = WriteAnalysisCode WRITE_PLAN = WritePlan diff --git a/metagpt/actions/action_node.py b/metagpt/actions/action_node.py index 09da4a988..27dde5a8c 100644 --- a/metagpt/actions/action_node.py +++ b/metagpt/actions/action_node.py @@ -17,6 +17,7 @@ from pydantic import BaseModel, Field, create_model, model_validator from tenacity import retry, stop_after_attempt, wait_random_exponential from metagpt.actions.action_outcls_registry import register_action_outcls +from metagpt.const import USE_CONFIG_TIMEOUT from metagpt.llm import BaseLLM from metagpt.logs import logger from metagpt.provider.postprocess.llm_output_postprocess import llm_output_postprocess @@ -330,7 +331,7 @@ class ActionNode: def compile_to(self, i: Dict, schema, kv_sep) -> str: if schema == "json": - return json.dumps(i, indent=4) + return json.dumps(i, indent=4, ensure_ascii=False) elif schema == "markdown": return dict_to_markdown(i, kv_sep=kv_sep) else: @@ -416,7 +417,7 @@ class ActionNode: images: Optional[Union[str, list[str]]] = None, system_msgs: Optional[list[str]] = None, schema="markdown", # compatible to original format - timeout=3, + timeout=USE_CONFIG_TIMEOUT, ) -> (str, BaseModel): """Use ActionOutput to wrap the output of aask""" content = await self.llm.aask(prompt, system_msgs, images=images, timeout=timeout) @@ -448,7 +449,9 @@ class ActionNode: def set_context(self, context): self.set_recursive("context", context) - async def simple_fill(self, schema, mode, images: Optional[Union[str, list[str]]] = None, timeout=3, exclude=None): + async def simple_fill( + self, schema, mode, images: Optional[Union[str, list[str]]] = None, timeout=USE_CONFIG_TIMEOUT, exclude=None + ): prompt = self.compile(context=self.context, schema=schema, mode=mode, exclude=exclude) if schema != "raw": @@ -473,7 +476,7 @@ class ActionNode: mode="auto", strgy="simple", images: Optional[Union[str, list[str]]] = None, - timeout=3, + timeout=USE_CONFIG_TIMEOUT, exclude=[], ): """Fill the node(s) with mode. diff --git a/metagpt/actions/ci/debug_code.py b/metagpt/actions/ci/debug_code.py deleted file mode 100644 index 4a6617dc6..000000000 --- a/metagpt/actions/ci/debug_code.py +++ /dev/null @@ -1,109 +0,0 @@ -from __future__ import annotations - -from metagpt.actions.ci.write_analysis_code import BaseWriteAnalysisCode -from metagpt.logs import logger -from metagpt.schema import Message -from metagpt.utils.common import create_func_call_config - -DEBUG_REFLECTION_EXAMPLE = ''' -Example 1: -[previous impl]: -```python -def add(a: int, b: int) -> int: - """ - Given integers a and b, return the total value of a and b. - """ - return a - b -``` - -[runtime Error]: -Tested passed: - -Tests failed: -assert add(1, 2) == 3 # output: -1 -assert add(1, 2) == 4 # output: -1 - -[reflection on previous impl]: -The implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input. - -[improved impl]: -```python -def add(a: int, b: int) -> int: - """ - Given integers a and b, return the total value of a and b. - """ - return a + b -``` -''' - -REFLECTION_PROMPT = """ -Here is an example for you. -{debug_example} -[context] -{context} - -[previous impl] -{code} -[runtime Error] -{runtime_result} - -Analysis the error step by step, provide me improve method and code. Remember to follow [context] requirement. Don't forget write code for steps behind the error step. -[reflection on previous impl]: -xxx -""" - -CODE_REFLECTION = { - "name": "execute_reflection_code", - "description": "Execute reflection code.", - "parameters": { - "type": "object", - "properties": { - "reflection": { - "type": "string", - "description": "Reflection on previous impl.", - }, - "improved_impl": { - "type": "string", - "description": "Refined code after reflection.", - }, - }, - "required": ["reflection", "improved_impl"], - }, -} - - -class DebugCode(BaseWriteAnalysisCode): - async def run( - self, - context: list[Message] = None, - code: str = "", - runtime_result: str = "", - ) -> str: - """ - Execute the debugging process based on the provided context, code, and runtime_result. - - Args: - context (list[Message]): A list of Message objects representing the context. - code (str): The code to be debugged. - runtime_result (str): The result of the code execution. - - Returns: - str: The improved implementation based on the debugging process. - """ - - info = [] - reflection_prompt = REFLECTION_PROMPT.format( - debug_example=DEBUG_REFLECTION_EXAMPLE, - context=context, - code=code, - runtime_result=runtime_result, - ) - system_prompt = "You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation " - info.append(Message(role="system", content=system_prompt)) - info.append(Message(role="user", content=reflection_prompt)) - - tool_config = create_func_call_config(CODE_REFLECTION) - reflection = await self.llm.aask_code(messages=info, **tool_config) - logger.info(f"reflection is {reflection}") - - return {"code": reflection["improved_impl"]} diff --git a/metagpt/actions/ci/ml_action.py b/metagpt/actions/ci/ml_action.py deleted file mode 100644 index e18d0fd20..000000000 --- a/metagpt/actions/ci/ml_action.py +++ /dev/null @@ -1,70 +0,0 @@ -from __future__ import annotations - -from typing import Tuple - -from metagpt.actions import Action -from metagpt.actions.ci.write_analysis_code import WriteCodeWithTools -from metagpt.prompts.ci.ml_action import ( - ML_GENERATE_CODE_PROMPT, - ML_TOOL_USAGE_PROMPT, - PRINT_DATA_COLUMNS, - UPDATE_DATA_COLUMNS, -) -from metagpt.prompts.ci.write_analysis_code import CODE_GENERATOR_WITH_TOOLS -from metagpt.schema import Message, Plan -from metagpt.utils.common import create_func_call_config, remove_comments - - -class WriteCodeWithToolsML(WriteCodeWithTools): - async def run( - self, - context: list[Message], - plan: Plan = None, - column_info: str = "", - **kwargs, - ) -> Tuple[list[Message], str]: - # prepare tool schemas and tool-type-specific instruction - tool_schemas, tool_type_usage_prompt = await self._prepare_tools(plan=plan) - - # ML-specific variables to be used in prompt - finished_tasks = plan.get_finished_tasks() - code_context = [remove_comments(task.code) for task in finished_tasks] - code_context = "\n\n".join(code_context) - - # prepare prompt depending on tool availability & LLM call - if tool_schemas: - prompt = ML_TOOL_USAGE_PROMPT.format( - user_requirement=plan.goal, - history_code=code_context, - current_task=plan.current_task.instruction, - column_info=column_info, - tool_type_usage_prompt=tool_type_usage_prompt, - tool_schemas=tool_schemas, - ) - - else: - prompt = ML_GENERATE_CODE_PROMPT.format( - user_requirement=plan.goal, - history_code=code_context, - current_task=plan.current_task.instruction, - column_info=column_info, - tool_type_usage_prompt=tool_type_usage_prompt, - ) - tool_config = create_func_call_config(CODE_GENERATOR_WITH_TOOLS) - rsp = await self.llm.aask_code(prompt, **tool_config) - - # Extra output to be used for potential debugging - context = [Message(content=prompt, role="user")] - - return context, rsp - - -class UpdateDataColumns(Action): - async def run(self, plan: Plan = None) -> dict: - finished_tasks = plan.get_finished_tasks() - code_context = [remove_comments(task.code) for task in finished_tasks] - code_context = "\n\n".join(code_context) - prompt = UPDATE_DATA_COLUMNS.format(history_code=code_context) - tool_config = create_func_call_config(PRINT_DATA_COLUMNS) - rsp = await self.llm.aask_code(prompt, **tool_config) - return rsp diff --git a/metagpt/actions/ci/write_analysis_code.py b/metagpt/actions/ci/write_analysis_code.py deleted file mode 100644 index 421eb0804..000000000 --- a/metagpt/actions/ci/write_analysis_code.py +++ /dev/null @@ -1,155 +0,0 @@ -# -*- encoding: utf-8 -*- -""" -@Date : 2023/11/20 13:19:39 -@Author : orange-crow -@File : write_analysis_code.py -""" -from __future__ import annotations - -from typing import Tuple - -from metagpt.actions import Action -from metagpt.logs import logger -from metagpt.prompts.ci.write_analysis_code import ( - CODE_GENERATOR_WITH_TOOLS, - SELECT_FUNCTION_TOOLS, - TOOL_RECOMMENDATION_PROMPT, - TOOL_USAGE_PROMPT, -) -from metagpt.schema import Message, Plan, SystemMessage -from metagpt.tools import TOOL_REGISTRY -from metagpt.tools.tool_registry import validate_tool_names -from metagpt.utils.common import create_func_call_config - - -class BaseWriteAnalysisCode(Action): - DEFAULT_SYSTEM_MSG: str = """You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**""" # prompt reference: https://github.com/KillianLucas/open-interpreter/blob/v0.1.4/interpreter/system_message.txt - # REUSE_CODE_INSTRUCTION = """ATTENTION: DONT include codes from previous tasks in your current code block, include new codes only, DONT repeat codes!""" - - def insert_system_message(self, context: list[Message], system_msg: str = None): - system_msg = system_msg or self.DEFAULT_SYSTEM_MSG - context.insert(0, SystemMessage(content=system_msg)) if context[0].role != "system" else None - return context - - async def run(self, context: list[Message], plan: Plan = None) -> dict: - """Run of a code writing action, used in data analysis or modeling - - Args: - context (list[Message]): Action output history, source action denoted by Message.cause_by - plan (Plan, optional): Overall plan. Defaults to None. - - Returns: - dict: code result in the format of {"code": "print('hello world')", "language": "python"} - """ - raise NotImplementedError - - -class WriteCodeWithoutTools(BaseWriteAnalysisCode): - """Ask LLM to generate codes purely by itself without local user-defined tools""" - - async def run(self, context: list[Message], plan: Plan = None, system_msg: str = None, **kwargs) -> dict: - messages = self.insert_system_message(context, system_msg) - rsp = await self.llm.aask_code(messages, **kwargs) - return rsp - - -class WriteCodeWithTools(BaseWriteAnalysisCode): - """Write code with help of local available tools. Choose tools first, then generate code to use the tools""" - - # selected tools to choose from, listed by their names. An empty list means selection from all tools. - selected_tools: list[str] = [] - - def _get_tools_by_type(self, tool_type: str) -> dict: - """ - Retreive tools by tool type from registry, but filtered by pre-selected tool list - - Args: - tool_type (str): Tool type to retrieve from the registry - - Returns: - dict: A dict of tool name to Tool object, representing available tools under the type - """ - candidate_tools = TOOL_REGISTRY.get_tools_by_type(tool_type) - if self.selected_tools: - candidate_tool_names = set(self.selected_tools) & candidate_tools.keys() - candidate_tools = {tool_name: candidate_tools[tool_name] for tool_name in candidate_tool_names} - return candidate_tools - - async def _recommend_tool( - self, - task: str, - available_tools: dict, - ) -> dict: - """ - Recommend tools for the specified task. - - Args: - task (str): the task to recommend tools for - available_tools (dict): the available tools description - - Returns: - dict: schemas of recommended tools for the specified task - """ - prompt = TOOL_RECOMMENDATION_PROMPT.format( - current_task=task, - available_tools=available_tools, - ) - tool_config = create_func_call_config(SELECT_FUNCTION_TOOLS) - rsp = await self.llm.aask_code(prompt, **tool_config) - recommend_tools = rsp["recommend_tools"] - logger.info(f"Recommended tools: \n{recommend_tools}") - - # Parses and validates the recommended tools, for LLM might hallucinate and recommend non-existing tools - valid_tools = validate_tool_names(recommend_tools, return_tool_object=True) - - tool_schemas = {tool.name: tool.schemas for tool in valid_tools} - - return tool_schemas - - async def _prepare_tools(self, plan: Plan) -> Tuple[dict, str]: - """Prepare tool schemas and usage instructions according to current task - - Args: - plan (Plan): The overall plan containing task information. - - Returns: - Tuple[dict, str]: A tool schemas ({tool_name: tool_schema_dict}) and a usage prompt for the type of tools selected - """ - # find tool type from task type through exact match, can extend to retrieval in the future - tool_type = plan.current_task.task_type - - # prepare tool-type-specific instruction - tool_type_usage_prompt = ( - TOOL_REGISTRY.get_tool_type(tool_type).usage_prompt if TOOL_REGISTRY.has_tool_type(tool_type) else "" - ) - - # prepare schemas of available tools - tool_schemas = {} - available_tools = self._get_tools_by_type(tool_type) - if available_tools: - available_tools = {tool_name: tool.schemas["description"] for tool_name, tool in available_tools.items()} - tool_schemas = await self._recommend_tool(plan.current_task.instruction, available_tools) - - return tool_schemas, tool_type_usage_prompt - - async def run( - self, - context: list[Message], - plan: Plan, - **kwargs, - ) -> str: - # prepare tool schemas and tool-type-specific instruction - tool_schemas, tool_type_usage_prompt = await self._prepare_tools(plan=plan) - - # form a complete tool usage instruction and include it as a message in context - tools_instruction = TOOL_USAGE_PROMPT.format( - tool_schemas=tool_schemas, tool_type_usage_prompt=tool_type_usage_prompt - ) - context.append(Message(content=tools_instruction, role="user")) - - # prepare prompt & LLM call - prompt = self.insert_system_message(context) - tool_config = create_func_call_config(CODE_GENERATOR_WITH_TOOLS) - rsp = await self.llm.aask_code(prompt, **tool_config) - - return rsp diff --git a/metagpt/actions/design_api_an.py b/metagpt/actions/design_api_an.py index 35b50ef8f..5977cbd95 100644 --- a/metagpt/actions/design_api_an.py +++ b/metagpt/actions/design_api_an.py @@ -8,7 +8,6 @@ from typing import List from metagpt.actions.action_node import ActionNode -from metagpt.logs import logger from metagpt.utils.mermaid import MMC1, MMC2 IMPLEMENTATION_APPROACH = ActionNode( @@ -109,14 +108,3 @@ REFINED_NODES = [ DESIGN_API_NODE = ActionNode.from_children("DesignAPI", NODES) REFINED_DESIGN_NODE = ActionNode.from_children("RefinedDesignAPI", REFINED_NODES) - - -def main(): - prompt = DESIGN_API_NODE.compile(context="") - logger.info(prompt) - prompt = REFINED_DESIGN_NODE.compile(context="") - logger.info(prompt) - - -if __name__ == "__main__": - main() diff --git a/metagpt/actions/di/__init__.py b/metagpt/actions/di/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/metagpt/actions/ci/ask_review.py b/metagpt/actions/di/ask_review.py similarity index 100% rename from metagpt/actions/ci/ask_review.py rename to metagpt/actions/di/ask_review.py diff --git a/metagpt/actions/ci/execute_nb_code.py b/metagpt/actions/di/execute_nb_code.py similarity index 71% rename from metagpt/actions/ci/execute_nb_code.py rename to metagpt/actions/di/execute_nb_code.py index 0ff00de8f..0cf16b70f 100644 --- a/metagpt/actions/ci/execute_nb_code.py +++ b/metagpt/actions/di/execute_nb_code.py @@ -9,7 +9,6 @@ from __future__ import annotations import asyncio import base64 import re -import traceback from typing import Literal, Tuple import nbformat @@ -58,7 +57,23 @@ class ExecuteNbCode(Action): async def terminate(self): """kill NotebookClient""" - await self.nb_client._async_cleanup_kernel() + if self.nb_client.km is not None and await self.nb_client.km.is_alive(): + await self.nb_client.km.shutdown_kernel(now=True) + await self.nb_client.km.cleanup_resources() + + channels = [ + self.nb_client.kc.stdin_channel, # The channel for handling standard input to the kernel. + self.nb_client.kc.hb_channel, # The channel for heartbeat communication between the kernel and client. + self.nb_client.kc.control_channel, # The channel for controlling the kernel. + ] + + # Stops all the running channels for this kernel + for channel in channels: + if channel.is_alive(): + channel.stop() + + self.nb_client.kc = None + self.nb_client.km = None async def reset(self): """reset NotebookClient""" @@ -91,17 +106,17 @@ class ExecuteNbCode(Action): else: cell["outputs"].append(new_output(output_type="stream", name="stdout", text=str(output))) - def parse_outputs(self, outputs: list[str]) -> str: + def parse_outputs(self, outputs: list[str], keep_len: int = 2000) -> Tuple[bool, str]: """Parses the outputs received from notebook execution.""" assert isinstance(outputs, list) - parsed_output = "" - + parsed_output, is_success = [], True for i, output in enumerate(outputs): + output_text = "" if output["output_type"] == "stream" and not any( tag in output["text"] - for tag in ["| INFO | metagpt", "| ERROR | metagpt", "| WARNING | metagpt"] + for tag in ["| INFO | metagpt", "| ERROR | metagpt", "| WARNING | metagpt", "DEBUG"] ): - parsed_output += output["text"] + output_text = output["text"] elif output["output_type"] == "display_data": if "image/png" in output["data"]: self.show_bytes_figure(output["data"]["image/png"], self.interaction) @@ -110,8 +125,22 @@ class ExecuteNbCode(Action): f"{i}th output['data'] from nbclient outputs dont have image/png, continue next output ..." ) elif output["output_type"] == "execute_result": - parsed_output += output["data"]["text/plain"] - return parsed_output + output_text = output["data"]["text/plain"] + elif output["output_type"] == "error": + output_text, is_success = "\n".join(output["traceback"]), False + + # handle coroutines that are not executed asynchronously + if output_text.strip().startswith(" Tuple[str, bool]: """ @@ -173,16 +202,9 @@ class ExecuteNbCode(Action): # run code cell_index = len(self.nb.cells) - 1 - success, error_message = await self.run_cell(self.nb.cells[-1], cell_index) + success, outputs = await self.run_cell(self.nb.cells[-1], cell_index) - if not success: - return truncate(remove_escape_and_color_codes(error_message), is_success=success) - - # code success - outputs = self.parse_outputs(self.nb.cells[-1].outputs) - outputs, success = truncate(remove_escape_and_color_codes(outputs), is_success=success) - - if "!pip" in outputs: + if "!pip" in code: success = False return outputs, success @@ -196,54 +218,39 @@ class ExecuteNbCode(Action): raise ValueError(f"Only support for language: python, markdown, but got {language}, ") -def truncate(result: str, keep_len: int = 2000, is_success: bool = True): - """对于超出keep_len个字符的result: 执行失败的代码, 展示result后keep_len个字符; 执行成功的代码, 展示result前keep_len个字符。""" - if is_success: - desc = f"Executed code successfully. Truncated to show only first {keep_len} characters\n" - else: - desc = f"Executed code failed, please reflect the cause of bug and then debug. Truncated to show only last {keep_len} characters\n" - - if result.strip().startswith(" keep_len: - result = result[-keep_len:] if not is_success else result[:keep_len] - return desc + result, is_success - - return result, is_success - - def remove_escape_and_color_codes(input_str: str): - # 使用正则表达式去除转义字符和颜色代码 + # 使用正则表达式去除jupyter notebook输出结果中的转义字符和颜色代码 + # Use regular expressions to get rid of escape characters and color codes in jupyter notebook output. pattern = re.compile(r"\x1b\[[0-9;]*[mK]") result = pattern.sub("", input_str) return result def display_markdown(content: str): - # 使用正则表达式逐个匹配代码块 + # Use regular expressions to match blocks of code one by one. matches = re.finditer(r"```(.+?)```", content, re.DOTALL) start_index = 0 content_panels = [] - # 逐个打印匹配到的文本和代码 + # Set the text background color and text color. + style = "black on white" + # Print the matching text and code one by one. for match in matches: text_content = content[start_index : match.start()].strip() code_content = match.group(0).strip()[3:-3] # Remove triple backticks if text_content: - content_panels.append(Panel(Markdown(text_content), box=MINIMAL)) + content_panels.append(Panel(Markdown(text_content), style=style, box=MINIMAL)) if code_content: - content_panels.append(Panel(Markdown(f"```{code_content}"), box=MINIMAL)) + content_panels.append(Panel(Markdown(f"```{code_content}"), style=style, box=MINIMAL)) start_index = match.end() - # 打印剩余文本（如果有） + # Print remaining text (if any). remaining_text = content[start_index:].strip() if remaining_text: - content_panels.append(Panel(Markdown(remaining_text), box=MINIMAL)) + content_panels.append(Panel(Markdown(remaining_text), style=style, box=MINIMAL)) - # 在Live模式中显示所有Panel + # Display all panels in Live mode. with Live(auto_refresh=False, console=Console(), vertical_overflow="visible") as live: live.update(Group(*content_panels)) live.refresh() diff --git a/metagpt/actions/di/write_analysis_code.py b/metagpt/actions/di/write_analysis_code.py new file mode 100644 index 000000000..711e56d39 --- /dev/null +++ b/metagpt/actions/di/write_analysis_code.py @@ -0,0 +1,73 @@ +# -*- encoding: utf-8 -*- +""" +@Date : 2023/11/20 13:19:39 +@Author : orange-crow +@File : write_analysis_code.py +""" +from __future__ import annotations + +import json + +from metagpt.actions import Action +from metagpt.prompts.di.write_analysis_code import ( + CHECK_DATA_PROMPT, + DEBUG_REFLECTION_EXAMPLE, + INTERPRETER_SYSTEM_MSG, + REFLECTION_PROMPT, + REFLECTION_SYSTEM_MSG, + STRUCTUAL_PROMPT, +) +from metagpt.schema import Message, Plan +from metagpt.utils.common import CodeParser, remove_comments + + +class WriteAnalysisCode(Action): + async def _debug_with_reflection(self, context: list[Message], working_memory: list[Message]): + reflection_prompt = REFLECTION_PROMPT.format( + debug_example=DEBUG_REFLECTION_EXAMPLE, + context=context, + previous_impl=working_memory, + ) + + rsp = await self._aask(reflection_prompt, system_msgs=[REFLECTION_SYSTEM_MSG]) + reflection = json.loads(CodeParser.parse_code(block=None, text=rsp)) + + return reflection["improved_impl"] + + async def run( + self, + user_requirement: str, + plan_status: str = "", + tool_info: str = "", + working_memory: list[Message] = None, + use_reflection: bool = False, + **kwargs, + ) -> str: + structual_prompt = STRUCTUAL_PROMPT.format( + user_requirement=user_requirement, + plan_status=plan_status, + tool_info=tool_info, + ) + + working_memory = working_memory or [] + context = self.llm.format_msg([Message(content=structual_prompt, role="user")] + working_memory) + + # LLM call + if use_reflection: + code = await self._debug_with_reflection(context=context, working_memory=working_memory) + else: + rsp = await self.llm.aask(context, system_msgs=[INTERPRETER_SYSTEM_MSG], **kwargs) + code = CodeParser.parse_code(block=None, text=rsp) + + return code + + +class CheckData(Action): + async def run(self, plan: Plan) -> dict: + finished_tasks = plan.get_finished_tasks() + code_written = [remove_comments(task.code) for task in finished_tasks] + code_written = "\n\n".join(code_written) + prompt = CHECK_DATA_PROMPT.format(code_written=code_written) + rsp = await self._aask(prompt) + code = CodeParser.parse_code(block=None, text=rsp) + return code diff --git a/metagpt/actions/ci/write_plan.py b/metagpt/actions/di/write_plan.py similarity index 57% rename from metagpt/actions/ci/write_plan.py rename to metagpt/actions/di/write_plan.py index dd9363260..2dbe3f0e7 100644 --- a/metagpt/actions/ci/write_plan.py +++ b/metagpt/actions/di/write_plan.py @@ -12,81 +12,49 @@ from typing import Tuple from metagpt.actions import Action from metagpt.logs import logger -from metagpt.prompts.ci.write_analysis_code import ( - ASSIGN_TASK_TYPE_CONFIG, - ASSIGN_TASK_TYPE_PROMPT, -) from metagpt.schema import Message, Plan, Task -from metagpt.tools import TOOL_REGISTRY -from metagpt.utils.common import CodeParser, create_func_call_config +from metagpt.strategy.task_type import TaskType +from metagpt.utils.common import CodeParser class WritePlan(Action): PROMPT_TEMPLATE: str = """ # Context: - __context__ + {context} + # Available Task Types: + {task_type_desc} # Task: - Based on the context, write a plan or modify an existing plan of what you should do to achieve the goal. A plan consists of one to __max_tasks__ tasks. + Based on the context, write a plan or modify an existing plan of what you should do to achieve the goal. A plan consists of one to {max_tasks} tasks. If you are modifying an existing plan, carefully follow the instruction, don't make unnecessary changes. Give the whole plan unless instructed to modify only one task of the plan. If you encounter errors on the current task, revise and output the current single task only. Output a list of jsons following the format: ```json [ - { + {{ "task_id": str = "unique identifier for a task in plan, can be an ordinal", "dependent_task_ids": list[str] = "ids of tasks prerequisite to this task", "instruction": "what you should do in this task, one short phrase or sentence", - }, + "task_type": "type of this task, should be one of Available Task Types", + }}, ... ] ``` """ - async def assign_task_type(self, tasks: list[dict]) -> str: - """Assign task type to each task in tasks - - Args: - tasks (list[dict]): tasks to be assigned task type - - Returns: - str: tasks with task type assigned in a json string - """ - task_info = "\n".join([f"Task {task['task_id']}: {task['instruction']}" for task in tasks]) - task_type_desc = "\n".join( - [f"- **{tool_type.name}**: {tool_type.desc}" for tool_type in TOOL_REGISTRY.get_tool_types().values()] - ) # task type are binded with tool type now, should be improved in the future - prompt = ASSIGN_TASK_TYPE_PROMPT.format( - task_info=task_info, task_type_desc=task_type_desc - ) # task types are set to be the same as tool types, for now - tool_config = create_func_call_config(ASSIGN_TASK_TYPE_CONFIG) - rsp = await self.llm.aask_code(prompt, **tool_config) - task_type_list = rsp["task_type"] - logger.info(f"assigned task types: {task_type_list}") - for task, task_type in zip(tasks, task_type_list): - task["task_type"] = task_type - return json.dumps(tasks) - - async def run(self, context: list[Message], max_tasks: int = 5, use_tools: bool = False) -> str: - prompt = ( - self.PROMPT_TEMPLATE.replace("__context__", "\n".join([str(ct) for ct in context])) - # .replace("__current_plan__", current_plan) - .replace("__max_tasks__", str(max_tasks)) + async def run(self, context: list[Message], max_tasks: int = 5) -> str: + task_type_desc = "\n".join([f"- **{tt.type_name}**: {tt.value.desc}" for tt in TaskType]) + prompt = self.PROMPT_TEMPLATE.format( + context="\n".join([str(ct) for ct in context]), max_tasks=max_tasks, task_type_desc=task_type_desc ) rsp = await self._aask(prompt) rsp = CodeParser.parse_code(block=None, text=rsp) - if use_tools: - rsp = await self.assign_task_type(json.loads(rsp)) return rsp -def rsp_to_tasks(rsp: str) -> list[Task]: +def update_plan_from_rsp(rsp: str, current_plan: Plan): rsp = json.loads(rsp) tasks = [Task(**task_config) for task_config in rsp] - return tasks - -def update_plan_from_rsp(rsp: str, current_plan: Plan): - tasks = rsp_to_tasks(rsp) if len(tasks) == 1 or tasks[0].dependent_task_ids: if tasks[0].dependent_task_ids and len(tasks) > 1: # tasks[0].dependent_task_ids means the generated tasks are not a complete plan diff --git a/metagpt/actions/project_management_an.py b/metagpt/actions/project_management_an.py index 379a23384..0417c0ce4 100644 --- a/metagpt/actions/project_management_an.py +++ b/metagpt/actions/project_management_an.py @@ -8,7 +8,6 @@ from typing import List from metagpt.actions.action_node import ActionNode -from metagpt.logs import logger REQUIRED_PYTHON_PACKAGES = ActionNode( key="Required Python packages", @@ -119,14 +118,3 @@ REFINED_NODES = [ PM_NODE = ActionNode.from_children("PM_NODE", NODES) REFINED_PM_NODE = ActionNode.from_children("REFINED_PM_NODE", REFINED_NODES) - - -def main(): - prompt = PM_NODE.compile(context="") - logger.info(prompt) - prompt = REFINED_PM_NODE.compile(context="") - logger.info(prompt) - - -if __name__ == "__main__": - main() diff --git a/metagpt/actions/rebuild_class_view.py b/metagpt/actions/rebuild_class_view.py index 2140ad874..ff030ec87 100644 --- a/metagpt/actions/rebuild_class_view.py +++ b/metagpt/actions/rebuild_class_view.py @@ -4,10 +4,12 @@ @Time : 2023/12/19 @Author : mashenquan @File : rebuild_class_view.py -@Desc : Rebuild class view info +@Desc : Reconstructs class diagram from a source code project. + Implement RFC197, https://deepwisdom.feishu.cn/wiki/VyK0wfq56ivuvjklMKJcmHQknGt """ -import re + from pathlib import Path +from typing import Optional, Set, Tuple import aiofiles @@ -21,86 +23,144 @@ from metagpt.const import ( GRAPH_REPO_FILE_REPO, ) from metagpt.logs import logger -from metagpt.repo_parser import RepoParser -from metagpt.schema import ClassAttribute, ClassMethod, ClassView -from metagpt.utils.common import split_namespace +from metagpt.repo_parser import DotClassInfo, RepoParser +from metagpt.schema import UMLClassView +from metagpt.utils.common import concat_namespace, split_namespace from metagpt.utils.di_graph_repository import DiGraphRepository from metagpt.utils.graph_repository import GraphKeyword, GraphRepository class RebuildClassView(Action): + """ + Reconstructs a graph repository about class diagram from a source code project. + + Attributes: + graph_db (Optional[GraphRepository]): The optional graph repository. + """ + + graph_db: Optional[GraphRepository] = None + async def run(self, with_messages=None, format=config.prompt_schema): + """ + Implementation of `Action`'s `run` method. + + Args: + with_messages (Optional[Type]): An optional argument specifying messages to react to. + format (str): The format for the prompt schema. + """ graph_repo_pathname = self.context.git_repo.workdir / GRAPH_REPO_FILE_REPO / self.context.git_repo.workdir.name - graph_db = await DiGraphRepository.load_from(str(graph_repo_pathname.with_suffix(".json"))) + self.graph_db = await DiGraphRepository.load_from(str(graph_repo_pathname.with_suffix(".json"))) repo_parser = RepoParser(base_directory=Path(self.i_context)) # use pylint class_views, relationship_views, package_root = await repo_parser.rebuild_class_views(path=Path(self.i_context)) - await GraphRepository.update_graph_db_with_class_views(graph_db, class_views) - await GraphRepository.update_graph_db_with_class_relationship_views(graph_db, relationship_views) + await GraphRepository.update_graph_db_with_class_views(self.graph_db, class_views) + await GraphRepository.update_graph_db_with_class_relationship_views(self.graph_db, relationship_views) + await GraphRepository.rebuild_composition_relationship(self.graph_db) # use ast direction, diff_path = self._diff_path(path_root=Path(self.i_context).resolve(), package_root=package_root) symbols = repo_parser.generate_symbols() for file_info in symbols: # Align to the same root directory in accordance with `class_views`. file_info.file = self._align_root(file_info.file, direction, diff_path) - await GraphRepository.update_graph_db_with_file_info(graph_db, file_info) - await self._create_mermaid_class_views(graph_db=graph_db) - await graph_db.save() + await GraphRepository.update_graph_db_with_file_info(self.graph_db, file_info) + await self._create_mermaid_class_views() + await self.graph_db.save() - async def _create_mermaid_class_views(self, graph_db): - path = Path(self.context.git_repo.workdir) / DATA_API_DESIGN_FILE_REPO + async def _create_mermaid_class_views(self) -> str: + """Creates a Mermaid class diagram using data from the `graph_db` graph repository. + + This method utilizes information stored in the graph repository to generate a Mermaid class diagram. + Returns: + mermaid class diagram file name. + """ + path = self.context.git_repo.workdir / DATA_API_DESIGN_FILE_REPO path.mkdir(parents=True, exist_ok=True) pathname = path / self.context.git_repo.workdir.name - async with aiofiles.open(str(pathname.with_suffix(".mmd")), mode="w", encoding="utf-8") as writer: + filename = str(pathname.with_suffix(".class_diagram.mmd")) + async with aiofiles.open(filename, mode="w", encoding="utf-8") as writer: content = "classDiagram\n" logger.debug(content) await writer.write(content) # class names - rows = await graph_db.select(predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS) + rows = await self.graph_db.select(predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS) class_distinct = set() relationship_distinct = set() for r in rows: - await RebuildClassView._create_mermaid_class(r.subject, graph_db, writer, class_distinct) + content = await self._create_mermaid_class(r.subject) + if content: + await writer.write(content) + class_distinct.add(r.subject) for r in rows: - await RebuildClassView._create_mermaid_relationship(r.subject, graph_db, writer, relationship_distinct) + content, distinct = await self._create_mermaid_relationship(r.subject) + if content: + logger.debug(content) + await writer.write(content) + relationship_distinct.update(distinct) + logger.info(f"classes: {len(class_distinct)}, relationship: {len(relationship_distinct)}") - @staticmethod - async def _create_mermaid_class(ns_class_name, graph_db, file_writer, distinct): + if self.i_context: + r_filename = Path(filename).relative_to(self.context.git_repo.workdir) + await self.graph_db.insert( + subject=self.i_context, predicate="hasMermaidClassDiagramFile", object_=str(r_filename) + ) + logger.info(f"{self.i_context} hasMermaidClassDiagramFile {filename}") + return filename + + async def _create_mermaid_class(self, ns_class_name) -> str: + """Generates a Mermaid class diagram for a specific class using data from the `graph_db` graph repository. + + Args: + ns_class_name (str): The namespace-prefixed name of the class for which the Mermaid class diagram is to be created. + + Returns: + str: A Mermaid code block object in markdown representing the class diagram. + """ fields = split_namespace(ns_class_name) if len(fields) > 2: # Ignore sub-class - return + return "" - class_view = ClassView(name=fields[1]) - rows = await graph_db.select(subject=ns_class_name) - for r in rows: - name = split_namespace(r.object_)[-1] - name, visibility, abstraction = RebuildClassView._parse_name(name=name, language="python") - if r.predicate == GraphKeyword.HAS_CLASS_PROPERTY: - var_type = await RebuildClassView._parse_variable_type(r.object_, graph_db) - attribute = ClassAttribute( - name=name, visibility=visibility, abstraction=bool(abstraction), value_type=var_type - ) - class_view.attributes.append(attribute) - elif r.predicate == GraphKeyword.HAS_CLASS_FUNCTION: - method = ClassMethod(name=name, visibility=visibility, abstraction=bool(abstraction)) - await RebuildClassView._parse_function_args(method, r.object_, graph_db) - class_view.methods.append(method) + rows = await self.graph_db.select(subject=ns_class_name, predicate=GraphKeyword.HAS_DETAIL) + if not rows: + return "" + dot_class_info = DotClassInfo.model_validate_json(rows[0].object_) + class_view = UMLClassView.load_dot_class_info(dot_class_info) - # update graph db - await graph_db.insert(ns_class_name, GraphKeyword.HAS_CLASS_VIEW, class_view.model_dump_json()) + # update uml view + await self.graph_db.insert(ns_class_name, GraphKeyword.HAS_CLASS_VIEW, class_view.model_dump_json()) + # update uml isCompositeOf + for c in dot_class_info.compositions: + await self.graph_db.insert( + subject=ns_class_name, + predicate=GraphKeyword.IS + COMPOSITION + GraphKeyword.OF, + object_=concat_namespace("?", c), + ) + + # update uml isAggregateOf + for a in dot_class_info.aggregations: + await self.graph_db.insert( + subject=ns_class_name, + predicate=GraphKeyword.IS + AGGREGATION + GraphKeyword.OF, + object_=concat_namespace("?", a), + ) content = class_view.get_mermaid(align=1) logger.debug(content) - await file_writer.write(content) - distinct.add(ns_class_name) + return content - @staticmethod - async def _create_mermaid_relationship(ns_class_name, graph_db, file_writer, distinct): + async def _create_mermaid_relationship(self, ns_class_name: str) -> Tuple[Optional[str], Optional[Set]]: + """Generates a Mermaid class relationship diagram for a specific class using data from the `graph_db` graph repository. + + Args: + ns_class_name (str): The namespace-prefixed class name for which the Mermaid relationship diagram is to be created. + + Returns: + Tuple[str, Set]: A tuple containing the relationship diagram as a string and a set of deduplication. + """ s_fields = split_namespace(ns_class_name) if len(s_fields) > 2: # Ignore sub-class - return + return None, None predicates = {GraphKeyword.IS + v + GraphKeyword.OF: v for v in [GENERALIZATION, COMPOSITION, AGGREGATION]} mappings = { @@ -109,8 +169,9 @@ class RebuildClassView(Action): AGGREGATION: " o-- ", } content = "" + distinct = set() for p, v in predicates.items(): - rows = await graph_db.select(subject=ns_class_name, predicate=p) + rows = await self.graph_db.select(subject=ns_class_name, predicate=p) for r in rows: o_fields = split_namespace(r.object_) if len(o_fields) > 2: @@ -121,86 +182,26 @@ class RebuildClassView(Action): distinct.add(link) content += f"\t{link}\n" - if content: - logger.debug(content) - await file_writer.write(content) - - @staticmethod - def _parse_name(name: str, language="python"): - pattern = re.compile(r"(.*?)<\/I>") - result = re.search(pattern, name) - - abstraction = "" - if result: - name = result.group(1) - abstraction = "*" - if name.startswith("__"): - visibility = "-" - elif name.startswith("_"): - visibility = "#" - else: - visibility = "+" - return name, visibility, abstraction - - @staticmethod - async def _parse_variable_type(ns_name, graph_db) -> str: - rows = await graph_db.select(subject=ns_name, predicate=GraphKeyword.HAS_TYPE_DESC) - if not rows: - return "" - vals = rows[0].object_.replace("'", "").split(":") - if len(vals) == 1: - return "" - val = vals[-1].strip() - return "" if val == "NoneType" else val + " " - - @staticmethod - async def _parse_function_args(method: ClassMethod, ns_name: str, graph_db: GraphRepository): - rows = await graph_db.select(subject=ns_name, predicate=GraphKeyword.HAS_ARGS_DESC) - if not rows: - return - info = rows[0].object_.replace("'", "") - - fs_tag = "(" - ix = info.find(fs_tag) - fe_tag = "):" - eix = info.rfind(fe_tag) - if eix < 0: - fe_tag = ")" - eix = info.rfind(fe_tag) - args_info = info[ix + len(fs_tag) : eix].strip() - method.return_type = info[eix + len(fe_tag) :].strip() - if method.return_type == "None": - method.return_type = "" - if "(" in method.return_type: - method.return_type = method.return_type.replace("(", "Tuple[").replace(")", "]") - - # parse args - if not args_info: - return - splitter_ixs = [] - cost = 0 - for i in range(len(args_info)): - if args_info[i] == "[": - cost += 1 - elif args_info[i] == "]": - cost -= 1 - if args_info[i] == "," and cost == 0: - splitter_ixs.append(i) - splitter_ixs.append(len(args_info)) - args = [] - ix = 0 - for eix in splitter_ixs: - args.append(args_info[ix:eix]) - ix = eix + 1 - for arg in args: - parts = arg.strip().split(":") - if len(parts) == 1: - method.args.append(ClassAttribute(name=parts[0].strip())) - continue - method.args.append(ClassAttribute(name=parts[0].strip(), value_type=parts[-1].strip())) + return content, distinct @staticmethod def _diff_path(path_root: Path, package_root: Path) -> (str, str): + """Returns the difference between the root path and the path information represented in the package name. + + Args: + path_root (Path): The root path. + package_root (Path): The package root path. + + Returns: + Tuple[str, str]: A tuple containing the representation of the difference ("+", "-", "=") and the path detail of the differing part. + + Example: + >>> _diff_path(path_root=Path("/Users/x/github/MetaGPT"), package_root=Path("/Users/x/github/MetaGPT/metagpt")) + "-", "metagpt" + + >>> _diff_path(path_root=Path("/Users/x/github/MetaGPT/metagpt"), package_root=Path("/Users/x/github/MetaGPT/metagpt")) + "=", "." + """ if len(str(path_root)) > len(str(package_root)): return "+", str(path_root.relative_to(package_root)) if len(str(path_root)) < len(str(package_root)): @@ -208,7 +209,24 @@ class RebuildClassView(Action): return "=", "." @staticmethod - def _align_root(path: str, direction: str, diff_path: str): + def _align_root(path: str, direction: str, diff_path: str) -> str: + """Aligns the path to the same root represented by `diff_path`. + + Args: + path (str): The path to be aligned. + direction (str): The direction of alignment ('+', '-', '='). + diff_path (str): The path representing the difference. + + Returns: + str: The aligned path. + + Example: + >>> _align_root(path="metagpt/software_company.py", direction="+", diff_path="MetaGPT") + "MetaGPT/metagpt/software_company.py" + + >>> _align_root(path="metagpt/software_company.py", direction="-", diff_path="metagpt") + "software_company.py" + """ if direction == "=": return path if direction == "+": diff --git a/metagpt/actions/rebuild_sequence_view.py b/metagpt/actions/rebuild_sequence_view.py index 777dde8ce..0e67de908 100644 --- a/metagpt/actions/rebuild_sequence_view.py +++ b/metagpt/actions/rebuild_sequence_view.py @@ -4,34 +4,214 @@ @Time : 2024/1/4 @Author : mashenquan @File : rebuild_sequence_view.py -@Desc : Rebuild sequence view info +@Desc : Reconstruct sequence view information through reverse engineering. + Implement RFC197, https://deepwisdom.feishu.cn/wiki/VyK0wfq56ivuvjklMKJcmHQknGt """ from __future__ import annotations +import re +from datetime import datetime from pathlib import Path -from typing import List +from typing import List, Optional, Set + +from pydantic import BaseModel +from tenacity import retry, stop_after_attempt, wait_random_exponential from metagpt.actions import Action from metagpt.config2 import config from metagpt.const import GRAPH_REPO_FILE_REPO from metagpt.logs import logger -from metagpt.utils.common import aread, list_files +from metagpt.repo_parser import CodeBlockInfo, DotClassInfo +from metagpt.schema import UMLClassView +from metagpt.utils.common import ( + add_affix, + aread, + auto_namespace, + concat_namespace, + general_after_log, + list_files, + parse_json_code_block, + read_file_block, + split_namespace, +) from metagpt.utils.di_graph_repository import DiGraphRepository -from metagpt.utils.graph_repository import GraphKeyword +from metagpt.utils.graph_repository import SPO, GraphKeyword, GraphRepository + + +class ReverseUseCase(BaseModel): + """ + Represents a reverse engineered use case. + + Attributes: + description (str): A description of the reverse use case. + inputs (List[str]): List of inputs for the reverse use case. + outputs (List[str]): List of outputs for the reverse use case. + actors (List[str]): List of actors involved in the reverse use case. + steps (List[str]): List of steps for the reverse use case. + reason (str): The reason behind the reverse use case. + """ + + description: str + inputs: List[str] + outputs: List[str] + actors: List[str] + steps: List[str] + reason: str + + +class ReverseUseCaseDetails(BaseModel): + """ + Represents details of a reverse engineered use case. + + Attributes: + description (str): A description of the reverse use case details. + use_cases (List[ReverseUseCase]): List of reverse use cases. + relationship (List[str]): List of relationships associated with the reverse use case details. + """ + + description: str + use_cases: List[ReverseUseCase] + relationship: List[str] class RebuildSequenceView(Action): - async def run(self, with_messages=None, format=config.prompt_schema): - graph_repo_pathname = self.context.git_repo.workdir / GRAPH_REPO_FILE_REPO / self.context.git_repo.workdir.name - graph_db = await DiGraphRepository.load_from(str(graph_repo_pathname.with_suffix(".json"))) - entries = await RebuildSequenceView._search_main_entry(graph_db) - for entry in entries: - await self._rebuild_sequence_view(entry, graph_db) - await graph_db.save() + """ + Represents an action to reconstruct sequence view through reverse engineering. - @staticmethod - async def _search_main_entry(graph_db) -> List: - rows = await graph_db.select(predicate=GraphKeyword.HAS_PAGE_INFO) + Attributes: + graph_db (Optional[GraphRepository]): An optional instance of GraphRepository for graph database operations. + """ + + graph_db: Optional[GraphRepository] = None + + async def run(self, with_messages=None, format=config.prompt_schema): + """ + Implementation of `Action`'s `run` method. + + Args: + with_messages (Optional[Type]): An optional argument specifying messages to react to. + format (str): The format for the prompt schema. + """ + graph_repo_pathname = self.context.git_repo.workdir / GRAPH_REPO_FILE_REPO / self.context.git_repo.workdir.name + self.graph_db = await DiGraphRepository.load_from(str(graph_repo_pathname.with_suffix(".json"))) + if not self.i_context: + entries = await self._search_main_entry() + else: + entries = [SPO(subject=self.i_context, predicate="", object_="")] + for entry in entries: + await self._rebuild_main_sequence_view(entry) + while await self._merge_sequence_view(entry): + pass + await self.graph_db.save() + + @retry( + wait=wait_random_exponential(min=1, max=20), + stop=stop_after_attempt(6), + after=general_after_log(logger), + ) + async def _rebuild_main_sequence_view(self, entry: SPO): + """ + Reconstruct the sequence diagram for the __main__ entry of the source code through reverse engineering. + + Args: + entry (SPO): The SPO (Subject, Predicate, Object) object in the graph database that is related to the + subject `__name__:__main__`. + """ + filename = entry.subject.split(":", 1)[0] + rows = await self.graph_db.select(predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS) + classes = [] + prefix = filename + ":" + for r in rows: + if prefix in r.subject: + classes.append(r) + await self._rebuild_use_case(r.subject) + participants = await self._search_participants(split_namespace(entry.subject)[0]) + class_details = [] + class_views = [] + for c in classes: + detail = await self._get_class_detail(c.subject) + if not detail: + continue + class_details.append(detail) + view = await self._get_uml_class_view(c.subject) + if view: + class_views.append(view) + + actors = await self._get_participants(c.subject) + participants.update(set(actors)) + + use_case_blocks = [] + for c in classes: + use_cases = await self._get_class_use_cases(c.subject) + use_case_blocks.append(use_cases) + prompt_blocks = ["## Use Cases\n" + "\n".join(use_case_blocks)] + block = "## Participants\n" + for p in participants: + block += f"- {p}\n" + prompt_blocks.append(block) + block = "## Mermaid Class Views\n```mermaid\n" + block += "\n\n".join([c.get_mermaid() for c in class_views]) + block += "\n```\n" + prompt_blocks.append(block) + block = "## Source Code\n```python\n" + block += await self._get_source_code(filename) + block += "\n```\n" + prompt_blocks.append(block) + prompt = "\n---\n".join(prompt_blocks) + + rsp = await self.llm.aask( + msg=prompt, + system_msgs=[ + "You are a python code to Mermaid Sequence Diagram translator in function detail.", + "Translate the given markdown text to a Mermaid Sequence Diagram.", + "Return the merged Mermaid sequence diagram in a markdown code block format.", + ], + stream=False, + ) + sequence_view = rsp.removeprefix("```mermaid").removesuffix("```") + rows = await self.graph_db.select(subject=entry.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW) + for r in rows: + if r.predicate == GraphKeyword.HAS_SEQUENCE_VIEW: + await self.graph_db.delete(subject=r.subject, predicate=r.predicate, object_=r.object_) + await self.graph_db.insert( + subject=entry.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW, object_=sequence_view + ) + await self.graph_db.insert( + subject=entry.subject, + predicate=GraphKeyword.HAS_SEQUENCE_VIEW_VER, + object_=concat_namespace(datetime.now().strftime("%Y%m%d%H%M%S%f")[:-3], add_affix(sequence_view)), + ) + for c in classes: + await self.graph_db.insert( + subject=entry.subject, predicate=GraphKeyword.HAS_PARTICIPANT, object_=auto_namespace(c.subject) + ) + await self._save_sequence_view(subject=entry.subject, content=sequence_view) + + async def _merge_sequence_view(self, entry: SPO) -> bool: + """ + Augments additional information to the provided SPO (Subject, Predicate, Object) entry in the sequence diagram. + + Args: + entry (SPO): The SPO object representing the relationship in the graph database. + + Returns: + bool: True if additional information has been augmented, otherwise False. + """ + new_participant = await self._search_new_participant(entry) + if not new_participant: + return False + + await self._merge_participant(entry, new_participant) + return True + + async def _search_main_entry(self) -> List: + """ + Asynchronously searches for the SPO object that is related to `__name__:__main__`. + + Returns: + List: A list containing information about the main entry in the sequence diagram. + """ + rows = await self.graph_db.select(predicate=GraphKeyword.HAS_PAGE_INFO) tag = "__name__:__main__" entries = [] for r in rows: @@ -39,24 +219,395 @@ class RebuildSequenceView(Action): entries.append(r) return entries - async def _rebuild_sequence_view(self, entry, graph_db): - filename = entry.subject.split(":", 1)[0] - src_filename = RebuildSequenceView._get_full_filename(root=self.i_context, pathname=filename) - if not src_filename: + @retry( + wait=wait_random_exponential(min=1, max=20), + stop=stop_after_attempt(6), + after=general_after_log(logger), + ) + async def _rebuild_use_case(self, ns_class_name: str): + """ + Asynchronously reconstructs the use case for the provided namespace-prefixed class name. + + Args: + ns_class_name (str): The namespace-prefixed class name for which the use case is to be reconstructed. + """ + rows = await self.graph_db.select(subject=ns_class_name, predicate=GraphKeyword.HAS_CLASS_USE_CASE) + if rows: return - content = await aread(filename=src_filename, encoding="utf-8") - content = f"```python\n{content}\n```\n\n---\nTranslate the code above into Mermaid Sequence Diagram." - data = await self.llm.aask( - msg=content, system_msgs=["You are a python code to Mermaid Sequence Diagram translator in function detail"] + + detail = await self._get_class_detail(ns_class_name) + if not detail: + return + participants = set() + participants.update(set(detail.compositions)) + participants.update(set(detail.aggregations)) + class_view = await self._get_uml_class_view(ns_class_name) + source_code = await self._get_source_code(ns_class_name) + + # prompt_blocks = [ + # "## Instruction\n" + # "You are a python code to UML 2.0 Use Case translator.\n" + # 'The generated UML 2.0 Use Case must include the roles or entities listed in "Participants".\n' + # "The functional descriptions of Actors and Use Cases in the generated UML 2.0 Use Case must not " + # 'conflict with the information in "Mermaid Class Views".\n' + # 'The section under `if __name__ == "__main__":` of "Source Code" contains information about external ' + # "system interactions with the internal system.\n" + # ] + prompt_blocks = [] + block = "## Participants\n" + for p in participants: + block += f"- {p}\n" + prompt_blocks.append(block) + block = "## Mermaid Class Views\n```mermaid\n" + block += class_view.get_mermaid() + block += "\n```\n" + prompt_blocks.append(block) + block = "## Source Code\n```python\n" + block += source_code + block += "\n```\n" + prompt_blocks.append(block) + prompt = "\n---\n".join(prompt_blocks) + + rsp = await self.llm.aask( + msg=prompt, + system_msgs=[ + "You are a python code to UML 2.0 Use Case translator.", + 'The generated UML 2.0 Use Case must include the roles or entities listed in "Participants".', + "The functional descriptions of Actors and Use Cases in the generated UML 2.0 Use Case must not " + 'conflict with the information in "Mermaid Class Views".', + 'The section under `if __name__ == "__main__":` of "Source Code" contains information about external ' + "system interactions with the internal system.", + "Return a markdown JSON object with:\n" + '- a "description" key to explain what the whole source code want to do;\n' + '- a "use_cases" key list all use cases, each use case in the list should including a `description` ' + "key describes about what the use case to do, a `inputs` key lists the input names of the use case " + "from external sources, a `outputs` key lists the output names of the use case to external sources, " + "a `actors` key lists the participant actors of the use case, a `steps` key lists the steps about how " + "the use case works step by step, a `reason` key explaining under what circumstances would the " + "external system execute this use case.\n" + '- a "relationship" key lists all the descriptions of relationship among these use cases.\n', + ], + stream=False, + ) + + code_blocks = parse_json_code_block(rsp) + for block in code_blocks: + detail = ReverseUseCaseDetails.model_validate_json(block) + await self.graph_db.insert( + subject=ns_class_name, predicate=GraphKeyword.HAS_CLASS_USE_CASE, object_=detail.model_dump_json() + ) + + @retry( + wait=wait_random_exponential(min=1, max=20), + stop=stop_after_attempt(6), + after=general_after_log(logger), + ) + async def _rebuild_sequence_view(self, ns_class_name: str): + """ + Asynchronously reconstructs the sequence diagram for the provided namespace-prefixed class name. + + Args: + ns_class_name (str): The namespace-prefixed class name for which the sequence diagram is to be reconstructed. + """ + await self._rebuild_use_case(ns_class_name) + + prompts_blocks = [] + use_case_markdown = await self._get_class_use_cases(ns_class_name) + if not use_case_markdown: # external class + await self.graph_db.insert(subject=ns_class_name, predicate=GraphKeyword.HAS_SEQUENCE_VIEW, object_="") + return + block = f"## Use Cases\n{use_case_markdown}" + prompts_blocks.append(block) + + participants = await self._get_participants(ns_class_name) + block = "## Participants\n" + "\n".join([f"- {s}" for s in participants]) + prompts_blocks.append(block) + + view = await self._get_uml_class_view(ns_class_name) + block = "## Mermaid Class Views\n```mermaid\n" + block += view.get_mermaid() + block += "\n```\n" + prompts_blocks.append(block) + + block = "## Source Code\n```python\n" + block += await self._get_source_code(ns_class_name) + block += "\n```\n" + prompts_blocks.append(block) + prompt = "\n---\n".join(prompts_blocks) + + rsp = await self.llm.aask( + prompt, + system_msgs=[ + "You are a Mermaid Sequence Diagram translator in function detail.", + "Translate the markdown text to a Mermaid Sequence Diagram.", + "Return a markdown mermaid code block.", + ], + stream=False, + ) + + sequence_view = rsp.removeprefix("```mermaid").removesuffix("```") + await self.graph_db.insert( + subject=ns_class_name, predicate=GraphKeyword.HAS_SEQUENCE_VIEW, object_=sequence_view + ) + + async def _get_participants(self, ns_class_name: str) -> List[str]: + """ + Asynchronously returns the participants list of the sequence diagram for the provided namespace-prefixed SPO + object. + + Args: + ns_class_name (str): The namespace-prefixed class name for which to retrieve the participants list. + + Returns: + List[str]: A list of participants in the sequence diagram. + """ + participants = set() + detail = await self._get_class_detail(ns_class_name) + if not detail: + return [] + participants.update(set(detail.compositions)) + participants.update(set(detail.aggregations)) + return list(participants) + + async def _get_class_use_cases(self, ns_class_name: str) -> str: + """ + Asynchronously assembles the context about the use case information of the namespace-prefixed SPO object. + + Args: + ns_class_name (str): The namespace-prefixed class name for which to retrieve use case information. + + Returns: + str: A string containing the assembled context about the use case information. + """ + block = "" + rows = await self.graph_db.select(subject=ns_class_name, predicate=GraphKeyword.HAS_CLASS_USE_CASE) + for i, r in enumerate(rows): + detail = ReverseUseCaseDetails.model_validate_json(r.object_) + block += f"\n### {i + 1}. {detail.description}" + for j, use_case in enumerate(detail.use_cases): + block += f"\n#### {i + 1}.{j + 1}. {use_case.description}\n" + block += "\n##### Inputs\n" + "\n".join([f"- {s}" for s in use_case.inputs]) + block += "\n##### Outputs\n" + "\n".join([f"- {s}" for s in use_case.outputs]) + block += "\n##### Actors\n" + "\n".join([f"- {s}" for s in use_case.actors]) + block += "\n##### Steps\n" + "\n".join([f"- {s}" for s in use_case.steps]) + block += "\n#### Use Case Relationship\n" + "\n".join([f"- {s}" for s in detail.relationship]) + return block + "\n" + + async def _get_class_detail(self, ns_class_name: str) -> DotClassInfo | None: + """ + Asynchronously retrieves the dot format class details of the namespace-prefixed SPO object. + + Args: + ns_class_name (str): The namespace-prefixed class name for which to retrieve class details. + + Returns: + Union[DotClassInfo, None]: A DotClassInfo object representing the dot format class details, + or None if the details are not available. + """ + rows = await self.graph_db.select(subject=ns_class_name, predicate=GraphKeyword.HAS_DETAIL) + if not rows: + return None + dot_class_info = DotClassInfo.model_validate_json(rows[0].object_) + return dot_class_info + + async def _get_uml_class_view(self, ns_class_name: str) -> UMLClassView | None: + """ + Asynchronously retrieves the UML 2.0 format class details of the namespace-prefixed SPO object. + + Args: + ns_class_name (str): The namespace-prefixed class name for which to retrieve UML class details. + + Returns: + Union[UMLClassView, None]: A UMLClassView object representing the UML 2.0 format class details, + or None if the details are not available. + """ + rows = await self.graph_db.select(subject=ns_class_name, predicate=GraphKeyword.HAS_CLASS_VIEW) + if not rows: + return None + class_view = UMLClassView.model_validate_json(rows[0].object_) + return class_view + + async def _get_source_code(self, ns_class_name: str) -> str: + """ + Asynchronously retrieves the source code of the namespace-prefixed SPO object. + + Args: + ns_class_name (str): The namespace-prefixed class name for which to retrieve the source code. + + Returns: + str: A string containing the source code of the specified namespace-prefixed class. + """ + rows = await self.graph_db.select(subject=ns_class_name, predicate=GraphKeyword.HAS_PAGE_INFO) + filename = split_namespace(ns_class_name=ns_class_name)[0] + if not rows: + src_filename = RebuildSequenceView._get_full_filename(root=self.i_context, pathname=filename) + if not src_filename: + return "" + return await aread(filename=src_filename, encoding="utf-8") + code_block_info = CodeBlockInfo.model_validate_json(rows[0].object_) + return await read_file_block( + filename=filename, lineno=code_block_info.lineno, end_lineno=code_block_info.end_lineno ) - await graph_db.insert(subject=filename, predicate=GraphKeyword.HAS_SEQUENCE_VIEW, object_=data) - logger.info(data) @staticmethod def _get_full_filename(root: str | Path, pathname: str | Path) -> Path | None: + """ + Convert package name to the full path of the module. + + Args: + root (Union[str, Path]): The root path or string representing the package. + pathname (Union[str, Path]): The pathname or string representing the module. + + Returns: + Union[Path, None]: The full path of the module, or None if the path cannot be determined. + + Examples: + If `root`(workdir) is "/User/xxx/github/MetaGPT/metagpt", and the `pathname` is + "metagpt/management/skill_manager.py", then the returned value will be + "/User/xxx/github/MetaGPT/metagpt/management/skill_manager.py" + """ + if re.match(r"^/.+", pathname): + return pathname files = list_files(root=root) postfix = "/" + str(pathname) for i in files: if str(i).endswith(postfix): return i return None + + @staticmethod + def parse_participant(mermaid_sequence_diagram: str) -> List[str]: + """ + Parses the provided Mermaid sequence diagram and returns the list of participants. + + Args: + mermaid_sequence_diagram (str): The Mermaid sequence diagram string to be parsed. + + Returns: + List[str]: A list of participants extracted from the sequence diagram. + """ + pattern = r"participant ([a-zA-Z\.0-9_]+)" + matches = re.findall(pattern, mermaid_sequence_diagram) + matches = [re.sub(r"[\\/'\"]+", "", i) for i in matches] + return matches + + async def _search_new_participant(self, entry: SPO) -> str | None: + """ + Asynchronously retrieves a participant whose sequence diagram has not been augmented. + + Args: + entry (SPO): The SPO object representing the relationship in the graph database. + + Returns: + Union[str, None]: A participant whose sequence diagram has not been augmented, or None if not found. + """ + rows = await self.graph_db.select(subject=entry.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW) + if not rows: + return None + sequence_view = rows[0].object_ + rows = await self.graph_db.select(subject=entry.subject, predicate=GraphKeyword.HAS_PARTICIPANT) + merged_participants = [] + for r in rows: + name = split_namespace(r.object_)[-1] + merged_participants.append(name) + participants = self.parse_participant(sequence_view) + for p in participants: + if p in merged_participants: + continue + return p + return None + + @retry( + wait=wait_random_exponential(min=1, max=20), + stop=stop_after_attempt(6), + after=general_after_log(logger), + ) + async def _merge_participant(self, entry: SPO, class_name: str): + """ + Augments the sequence diagram of `class_name` to the sequence diagram of `entry`. + + Args: + entry (SPO): The SPO object representing the base sequence diagram. + class_name (str): The class name whose sequence diagram is to be augmented. + """ + rows = await self.graph_db.select(predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS) + participants = [] + for r in rows: + name = split_namespace(r.subject)[-1] + if name == class_name: + participants.append(r) + if len(participants) == 0: # external participants + await self.graph_db.insert( + subject=entry.subject, predicate=GraphKeyword.HAS_PARTICIPANT, object_=concat_namespace("?", class_name) + ) + return + if len(participants) > 1: + for r in participants: + await self.graph_db.insert( + subject=entry.subject, predicate=GraphKeyword.HAS_PARTICIPANT, object_=auto_namespace(r.subject) + ) + return + + participant = participants[0] + await self._rebuild_sequence_view(participant.subject) + sequence_views = await self.graph_db.select( + subject=participant.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW + ) + if not sequence_views: # external class + return + rows = await self.graph_db.select(subject=entry.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW) + prompt = f"```mermaid\n{sequence_views[0].object_}\n```\n---\n```mermaid\n{rows[0].object_}\n```" + + rsp = await self.llm.aask( + prompt, + system_msgs=[ + "You are a tool to merge sequence diagrams into one.", + "Participants with the same name are considered identical.", + "Return the merged Mermaid sequence diagram in a markdown code block format.", + ], + stream=False, + ) + + sequence_view = rsp.removeprefix("```mermaid").removesuffix("```") + rows = await self.graph_db.select(subject=entry.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW) + for r in rows: + await self.graph_db.delete(subject=r.subject, predicate=r.predicate, object_=r.object_) + await self.graph_db.insert( + subject=entry.subject, predicate=GraphKeyword.HAS_SEQUENCE_VIEW, object_=sequence_view + ) + await self.graph_db.insert( + subject=entry.subject, + predicate=GraphKeyword.HAS_SEQUENCE_VIEW_VER, + object_=concat_namespace(datetime.now().strftime("%Y%m%d%H%M%S%f")[:-3], add_affix(sequence_view)), + ) + await self.graph_db.insert( + subject=entry.subject, predicate=GraphKeyword.HAS_PARTICIPANT, object_=auto_namespace(participant.subject) + ) + await self._save_sequence_view(subject=entry.subject, content=sequence_view) + + async def _save_sequence_view(self, subject: str, content: str): + pattern = re.compile(r"[^a-zA-Z0-9]") + name = re.sub(pattern, "_", subject) + filename = Path(name).with_suffix(".sequence_diagram.mmd") + await self.context.repo.resources.data_api_design.save(filename=str(filename), content=content) + + async def _search_participants(self, filename: str) -> Set: + content = await self._get_source_code(filename) + + rsp = await self.llm.aask( + msg=content, + system_msgs=[ + "You are a tool for listing all class names used in a source file.", + "Return a markdown JSON object with: " + '- a "class_names" key containing the list of class names used in the file; ' + '- a "reasons" key lists all reason objects, each object containing a "class_name" key for class name, a "reference" key explaining the line where the class has been used.', + ], + ) + + class _Data(BaseModel): + class_names: List[str] + reasons: List + + json_blocks = parse_json_code_block(rsp) + data = _Data.model_validate_json(json_blocks[0]) + return set(data.class_names) diff --git a/metagpt/actions/rebuild_sequence_view_an.py b/metagpt/actions/rebuild_sequence_view_an.py deleted file mode 100644 index f16431510..000000000 --- a/metagpt/actions/rebuild_sequence_view_an.py +++ /dev/null @@ -1,16 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -@Time : 2024/1/4 -@Author : mashenquan -@File : rebuild_sequence_view_an.py -""" -from metagpt.actions.action_node import ActionNode -from metagpt.utils.mermaid import MMC2 - -CODE_2_MERMAID_SEQUENCE_DIAGRAM = ActionNode( - key="Program call flow", - expected_type=str, - instruction='Translate the "context" content into "format example" format.', - example=MMC2, -) diff --git a/metagpt/actions/research.py b/metagpt/actions/research.py index 2ebeadb66..2a99a8d99 100644 --- a/metagpt/actions/research.py +++ b/metagpt/actions/research.py @@ -133,8 +133,8 @@ class CollectLinks(Action): if len(remove) == 0: break - model_name = config.get_openai_llm().model - prompt = reduce_message_length(gen_msg(), model_name, system_text, 4096) + model_name = config.llm.model + prompt = reduce_message_length(gen_msg(), model_name, system_text, config.llm.max_token) logger.debug(prompt) queries = await self._aask(prompt, [system_text]) try: diff --git a/metagpt/actions/skill_action.py b/metagpt/actions/skill_action.py index b68596809..078ab008a 100644 --- a/metagpt/actions/skill_action.py +++ b/metagpt/actions/skill_action.py @@ -50,6 +50,7 @@ class ArgumentsParingAction(Action): rsp = await self.llm.aask( msg=prompt, system_msgs=["You are a function parser.", "You can convert spoken words into function parameters."], + stream=False, ) logger.debug(f"SKILL:{prompt}\n, RESULT:{rsp}") self.args = ArgumentsParingAction.parse_arguments(skill_name=self.skill.name, txt=rsp) diff --git a/metagpt/actions/talk_action.py b/metagpt/actions/talk_action.py index 0aac1c5a0..81f66f9a1 100644 --- a/metagpt/actions/talk_action.py +++ b/metagpt/actions/talk_action.py @@ -92,7 +92,7 @@ class TalkAction(Action): async def run(self, with_message=None, **kwargs) -> Message: msg, format_msgs, system_msgs = self.aask_args - rsp = await self.llm.aask(msg=msg, format_msgs=format_msgs, system_msgs=system_msgs) + rsp = await self.llm.aask(msg=msg, format_msgs=format_msgs, system_msgs=system_msgs, stream=False) self.rsp = Message(content=rsp, role="assistant", cause_by=self) return self.rsp diff --git a/metagpt/actions/write_code_plan_and_change_an.py b/metagpt/actions/write_code_plan_and_change_an.py index 708808050..f99bffd84 100644 --- a/metagpt/actions/write_code_plan_and_change_an.py +++ b/metagpt/actions/write_code_plan_and_change_an.py @@ -6,30 +6,44 @@ @File : write_code_plan_and_change_an.py """ import os +from typing import List from pydantic import Field from metagpt.actions.action import Action from metagpt.actions.action_node import ActionNode +from metagpt.logs import logger from metagpt.schema import CodePlanAndChangeContext -CODE_PLAN_AND_CHANGE = ActionNode( - key="Code Plan And Change", - expected_type=str, - instruction="Developing comprehensive and step-by-step incremental development plan, and write Incremental " - "Change by making a code draft that how to implement incremental development including detailed steps based on the " - "context. Note: Track incremental changes using mark of '+' or '-' for add/modify/delete code, and conforms to the " - "output format of git diff", - example=""" -1. Plan for calculator.py: Enhance the functionality of `calculator.py` by extending it to incorporate methods for subtraction, multiplication, and division. Additionally, implement robust error handling for the division operation to mitigate potential issues related to division by zero. -```python +DEVELOPMENT_PLAN = ActionNode( + key="Development Plan", + expected_type=List[str], + instruction="Develop a comprehensive and step-by-step incremental development plan, providing the detail " + "changes to be implemented at each step based on the order of 'Task List'", + example=[ + "Enhance the functionality of `calculator.py` by extending it to incorporate methods for subtraction, ...", + "Update the existing codebase in main.py to incorporate new API endpoints for subtraction, ...", + ], +) + +INCREMENTAL_CHANGE = ActionNode( + key="Incremental Change", + expected_type=List[str], + instruction="Write Incremental Change by making a code draft that how to implement incremental development " + "including detailed steps based on the context. Note: Track incremental changes using the marks `+` and `-` to " + "indicate additions and deletions, and ensure compliance with the output format of `git diff`", + example=[ + '''```diff +--- Old/calculator.py ++++ New/calculator.py + class Calculator: self.result = number1 + number2 return self.result - def sub(self, number1, number2) -> float: + def subtract(self, number1: float, number2: float) -> float: -+ ''' ++ """ + Subtracts the second number from the first and returns the result. + + Args: @@ -38,13 +52,13 @@ class Calculator: + + Returns: + float: The difference of number1 and number2. -+ ''' ++ """ + self.result = number1 - number2 + return self.result + def multiply(self, number1: float, number2: float) -> float: - pass -+ ''' ++ """ + Multiplies two numbers and returns the result. + + Args: @@ -53,15 +67,15 @@ class Calculator: + + Returns: + float: The product of number1 and number2. -+ ''' ++ """ + self.result = number1 * number2 + return self.result + def divide(self, number1: float, number2: float) -> float: - pass -+ ''' ++ """ + ValueError: If the second number is zero. -+ ''' ++ """ + if number2 == 0: + raise ValueError('Cannot divide by zero') + self.result = number1 / number2 @@ -75,10 +89,11 @@ class Calculator: + print("Result is already zero, no need to clear.") + self.result = 0.0 -``` +```''', + """```diff +--- Old/main.py ++++ New/main.py -2. Plan for main.py: Integrate new API endpoints for subtraction, multiplication, and division into the existing codebase of `main.py`. Then, ensure seamless integration with the overall application architecture and maintain consistency with coding standards. -```python def add_numbers(): result = calculator.add_numbers(num1, num2) return jsonify({'result': result}), 200 @@ -106,6 +121,7 @@ def add_numbers(): if __name__ == '__main__': app.run() ```""", + ], ) CODE_PLAN_AND_CHANGE_CONTEXT = """ @@ -172,14 +188,16 @@ Role: You are a professional engineer; The main goal is to complete incremental 2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets. 3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import. 4. Follow design: YOU MUST FOLLOW "Data structures and interfaces". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design. -5. Follow Code Plan And Change: If there is any Incremental Change that is marked by the git diff format using '+' and '-' for add/modify/delete code, or Legacy Code files contain "{filename} to be rewritten", you must merge it into the code file according to the plan. +5. Follow Code Plan And Change: If there is any "Incremental Change" that is marked by the git diff format with '+' and '-' symbols, or Legacy Code files contain "{filename} to be rewritten", you must merge it into the code file according to the "Development Plan". 6. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE. 7. Before using a external variable/module, make sure you import it first. 8. Write out EVERY CODE DETAIL, DON'T LEAVE TODO. 9. Attention: Retain details that are not related to incremental development but are important for maintaining the consistency and clarity of the old code. """ -WRITE_CODE_PLAN_AND_CHANGE_NODE = ActionNode.from_children("WriteCodePlanAndChange", [CODE_PLAN_AND_CHANGE]) +CODE_PLAN_AND_CHANGE = [DEVELOPMENT_PLAN, INCREMENTAL_CHANGE] + +WRITE_CODE_PLAN_AND_CHANGE_NODE = ActionNode.from_children("WriteCodePlanAndChange", CODE_PLAN_AND_CHANGE) class WriteCodePlanAndChange(Action): @@ -192,14 +210,14 @@ class WriteCodePlanAndChange(Action): prd_doc = await self.repo.docs.prd.get(filename=self.i_context.prd_filename) design_doc = await self.repo.docs.system_design.get(filename=self.i_context.design_filename) task_doc = await self.repo.docs.task.get(filename=self.i_context.task_filename) - code_text = await self.get_old_codes() context = CODE_PLAN_AND_CHANGE_CONTEXT.format( requirement=self.i_context.requirement, prd=prd_doc.content, design=design_doc.content, task=task_doc.content, - code=code_text, + code=await self.get_old_codes(), ) + logger.info("Writing code plan and change..") return await WRITE_CODE_PLAN_AND_CHANGE_NODE.fill(context=context, llm=self.llm, schema="json") async def get_old_codes(self) -> str: diff --git a/metagpt/actions/write_prd_an.py b/metagpt/actions/write_prd_an.py index 9898be55b..5733b29da 100644 --- a/metagpt/actions/write_prd_an.py +++ b/metagpt/actions/write_prd_an.py @@ -56,7 +56,7 @@ REFINED_PRODUCT_GOALS = ActionNode( key="Refined Product Goals", expected_type=List[str], instruction="Update and expand the original product goals to reflect the evolving needs due to incremental " - "development.Ensure that the refined goals align with the current project direction and contribute to its success.", + "development. Ensure that the refined goals align with the current project direction and contribute to its success.", example=[ "Enhance user engagement through new features", "Optimize performance for scalability", diff --git a/metagpt/config2.py b/metagpt/config2.py index bc6af18c6..f3273419f 100644 --- a/metagpt/config2.py +++ b/metagpt/config2.py @@ -92,7 +92,7 @@ class Config(CLIParams, YamlModel): """ default_config_paths: List[Path] = [ METAGPT_ROOT / "config/config2.yaml", - Path.home() / ".metagpt/config2.yaml", + CONFIG_ROOT / "config2.yaml", ] dicts = [dict(os.environ)] @@ -100,6 +100,20 @@ class Config(CLIParams, YamlModel): final = merge_dict(dicts) return Config(**final) + @classmethod + def from_llm_config(cls, llm_config: dict): + """user config llm + example: + llm_config = {"api_type": "xxx", "api_key": "xxx", "model": "xxx"} + gpt4 = Config.from_llm_config(llm_config) + A = Role(name="A", profile="Democratic candidate", goal="Win the election", actions=[a1], watch=[a2], config=gpt4) + """ + llm_config = LLMConfig.model_validate(llm_config) + dicts = [dict(os.environ)] + dicts += [{"llm": llm_config}] + final = merge_dict(dicts) + return Config(**final) + def update_via_cli(self, project_path, project_name, inc, reqa_file, max_auto_summarize_code): """update config via cli""" diff --git a/metagpt/configs/llm_config.py b/metagpt/configs/llm_config.py index fb923d3e4..af8f56372 100644 --- a/metagpt/configs/llm_config.py +++ b/metagpt/configs/llm_config.py @@ -10,12 +10,14 @@ from typing import Optional from pydantic import field_validator +from metagpt.const import LLM_API_TIMEOUT from metagpt.utils.yaml_model import YamlModel class LLMType(Enum): OPENAI = "openai" ANTHROPIC = "anthropic" + CLAUDE = "claude" # alias name of anthropic SPARK = "spark" ZHIPUAI = "zhipuai" FIREWORKS = "fireworks" @@ -24,6 +26,11 @@ class LLMType(Enum): METAGPT = "metagpt" AZURE = "azure" OLLAMA = "ollama" + QIANFAN = "qianfan" # Baidu BCE + DASHSCOPE = "dashscope" # Aliyun LingJi DashScope + MOONSHOT = "moonshot" + MISTRAL = "mistral" + YI = "yi" # lingyiwanwu def __missing__(self, key): return self.OPENAI @@ -36,12 +43,18 @@ class LLMConfig(YamlModel): Optional Fields in pydantic: https://docs.pydantic.dev/latest/migration/#required-optional-and-nullable-fields """ - api_key: str + api_key: str = "sk-" api_type: LLMType = LLMType.OPENAI base_url: str = "https://api.openai.com/v1" api_version: Optional[str] = None model: Optional[str] = None # also stands for DEPLOYMENT_NAME + pricing_plan: Optional[str] = None # Cost Settlement Plan Parameters. + + # For Cloud Service Provider like Baidu/ Alibaba + access_key: Optional[str] = None + secret_key: Optional[str] = None + endpoint: Optional[str] = None # for self-deployed model on the cloud # For Spark(Xunfei), maybe remove later app_id: Optional[str] = None @@ -62,7 +75,7 @@ class LLMConfig(YamlModel): stream: bool = False logprobs: Optional[bool] = None # https://cookbook.openai.com/examples/using_logprobs top_logprobs: Optional[int] = None - timeout: int = 60 + timeout: int = 600 # For Network proxy: Optional[str] = None @@ -76,3 +89,8 @@ class LLMConfig(YamlModel): if v in ["", None, "YOUR_API_KEY"]: raise ValueError("Please set your API key in config2.yaml") return v + + @field_validator("timeout") + @classmethod + def check_timeout(cls, v): + return v or LLM_API_TIMEOUT diff --git a/metagpt/configs/search_config.py b/metagpt/configs/search_config.py index af928b02a..e28b14c99 100644 --- a/metagpt/configs/search_config.py +++ b/metagpt/configs/search_config.py @@ -7,6 +7,8 @@ """ from typing import Callable, Optional +from pydantic import Field + from metagpt.tools import SearchEngineType from metagpt.utils.yaml_model import YamlModel @@ -18,3 +20,11 @@ class SearchConfig(YamlModel): api_key: str = "" cse_id: str = "" # for google search_func: Optional[Callable] = None + params: dict = Field( + default_factory=lambda: { + "engine": "google", + "google_domain": "google.com", + "gl": "us", + "hl": "en", + } + ) diff --git a/metagpt/const.py b/metagpt/const.py index 79c33a84d..e4cebfd96 100644 --- a/metagpt/const.py +++ b/metagpt/const.py @@ -49,6 +49,7 @@ METAGPT_ROOT = get_metagpt_root() # Dependent on METAGPT_PROJECT_ROOT DEFAULT_WORKSPACE_ROOT = METAGPT_ROOT / "workspace" EXAMPLE_PATH = METAGPT_ROOT / "examples" +EXAMPLE_DATA_PATH = EXAMPLE_PATH / "data" DATA_PATH = METAGPT_ROOT / "data" TEST_DATA_PATH = METAGPT_ROOT / "tests/data" RESEARCH_PATH = DATA_PATH / "research" @@ -104,6 +105,7 @@ CODE_SUMMARIES_PDF_FILE_REPO = "resources/code_summary" RESOURCES_FILE_REPO = "resources" SD_OUTPUT_FILE_REPO = "resources/sd_output" GRAPH_REPO_FILE_REPO = "docs/graph_repo" +VISUAL_GRAPH_REPO_FILE_REPO = "resources/graph_db" CLASS_VIEW_FILE_REPO = "docs/class_view" YAPI_URL = "http://yapi.deepwisdomai.com/" @@ -121,7 +123,6 @@ BASE64_FORMAT = "base64" # REDIS REDIS_KEY = "REDIS_KEY" -LLM_API_TIMEOUT = 300 # Message id IGNORED_MESSAGE_ID = "0" @@ -130,3 +131,7 @@ IGNORED_MESSAGE_ID = "0" GENERALIZATION = "Generalize" COMPOSITION = "Composite" AGGREGATION = "Aggregate" + +# Timeout +USE_CONFIG_TIMEOUT = 0 # Using llm.timeout configuration. +LLM_API_TIMEOUT = 300 diff --git a/metagpt/context.py b/metagpt/context.py index 3dfd52d58..0add4c71a 100644 --- a/metagpt/context.py +++ b/metagpt/context.py @@ -12,10 +12,14 @@ from typing import Any, Optional from pydantic import BaseModel, ConfigDict from metagpt.config2 import Config -from metagpt.configs.llm_config import LLMConfig +from metagpt.configs.llm_config import LLMConfig, LLMType from metagpt.provider.base_llm import BaseLLM from metagpt.provider.llm_provider_registry import create_llm_instance -from metagpt.utils.cost_manager import CostManager +from metagpt.utils.cost_manager import ( + CostManager, + FireworksCostManager, + TokenCostManager, +) from metagpt.utils.git_repository import GitRepository from metagpt.utils.project_repo import ProjectRepo @@ -80,12 +84,21 @@ class Context(BaseModel): # self._llm = None # return self._llm + def _select_costmanager(self, llm_config: LLMConfig) -> CostManager: + """Return a CostManager instance""" + if llm_config.api_type == LLMType.FIREWORKS: + return FireworksCostManager() + elif llm_config.api_type == LLMType.OPEN_LLM: + return TokenCostManager() + else: + return self.cost_manager + def llm(self) -> BaseLLM: """Return a LLM instance, fixme: support cache""" # if self._llm is None: self._llm = create_llm_instance(self.config.llm) if self._llm.cost_manager is None: - self._llm.cost_manager = self.cost_manager + self._llm.cost_manager = self._select_costmanager(self.config.llm) return self._llm def llm_with_cost_manager_from_llm_config(self, llm_config: LLMConfig) -> BaseLLM: @@ -93,5 +106,5 @@ class Context(BaseModel): # if self._llm is None: llm = create_llm_instance(llm_config) if llm.cost_manager is None: - llm.cost_manager = self.cost_manager + llm.cost_manager = self._select_costmanager(llm_config) return llm diff --git a/metagpt/document.py b/metagpt/document.py index f4fa0a489..4a8bb68d5 100644 --- a/metagpt/document.py +++ b/metagpt/document.py @@ -11,15 +11,13 @@ from pathlib import Path from typing import Optional, Union import pandas as pd -from langchain.document_loaders import ( - TextLoader, - UnstructuredPDFLoader, - UnstructuredWordDocumentLoader, -) -from langchain.text_splitter import CharacterTextSplitter +from llama_index.core import Document, SimpleDirectoryReader +from llama_index.core.node_parser import SimpleNodeParser +from llama_index.readers.file import PDFReader from pydantic import BaseModel, ConfigDict, Field from tqdm import tqdm +from metagpt.logs import logger from metagpt.repo_parser import RepoParser @@ -28,7 +26,7 @@ def validate_cols(content_col: str, df: pd.DataFrame): raise ValueError("Content column not found in DataFrame.") -def read_data(data_path: Path): +def read_data(data_path: Path) -> Union[pd.DataFrame, list[Document]]: suffix = data_path.suffix if ".xlsx" == suffix: data = pd.read_excel(data_path) @@ -37,14 +35,13 @@ def read_data(data_path: Path): elif ".json" == suffix: data = pd.read_json(data_path) elif suffix in (".docx", ".doc"): - data = UnstructuredWordDocumentLoader(str(data_path), mode="elements").load() + data = SimpleDirectoryReader(input_files=[str(data_path)]).load_data() elif ".txt" == suffix: - data = TextLoader(str(data_path)).load() - text_splitter = CharacterTextSplitter(separator="\n", chunk_size=256, chunk_overlap=0) - texts = text_splitter.split_documents(data) - data = texts + data = SimpleDirectoryReader(input_files=[str(data_path)]).load_data() + node_parser = SimpleNodeParser.from_defaults(separator="\n", chunk_size=256, chunk_overlap=0) + data = node_parser.get_nodes_from_documents(data) elif ".pdf" == suffix: - data = UnstructuredPDFLoader(str(data_path), mode="elements").load() + data = PDFReader.load_data(str(data_path)) else: raise NotImplementedError("File format not supported.") return data @@ -130,9 +127,12 @@ class IndexableDocument(Document): if isinstance(data, pd.DataFrame): validate_cols(content_col, data) return cls(data=data, content=str(data), content_col=content_col, meta_col=meta_col) - else: + try: content = data_path.read_text() - return cls(data=data, content=content, content_col=content_col, meta_col=meta_col) + except Exception as e: + logger.debug(f"Load {str(data_path)} error: {e}") + content = "" + return cls(data=data, content=content, content_col=content_col, meta_col=meta_col) def _get_docs_and_metadatas_by_df(self) -> (list, list): df = self.data @@ -146,9 +146,9 @@ class IndexableDocument(Document): metadatas.append({}) return docs, metadatas - def _get_docs_and_metadatas_by_langchain(self) -> (list, list): + def _get_docs_and_metadatas_by_llamaindex(self) -> (list, list): data = self.data - docs = [i.page_content for i in data] + docs = [i.text for i in data] metadatas = [i.metadata for i in data] return docs, metadatas @@ -156,7 +156,7 @@ class IndexableDocument(Document): if isinstance(self.data, pd.DataFrame): return self._get_docs_and_metadatas_by_df() elif isinstance(self.data, list): - return self._get_docs_and_metadatas_by_langchain() + return self._get_docs_and_metadatas_by_llamaindex() else: raise NotImplementedError("Data type not supported for metadata extraction.") diff --git a/metagpt/document_store/base_store.py b/metagpt/document_store/base_store.py index ddc1d626b..6aafc57bb 100644 --- a/metagpt/document_store/base_store.py +++ b/metagpt/document_store/base_store.py @@ -38,9 +38,9 @@ class LocalStore(BaseStore, ABC): if not self.store: self.store = self.write() - def _get_index_and_store_fname(self, index_ext=".index", pkl_ext=".pkl"): - index_file = self.cache_dir / f"{self.fname}{index_ext}" - store_file = self.cache_dir / f"{self.fname}{pkl_ext}" + def _get_index_and_store_fname(self, index_ext=".json", docstore_ext=".json"): + index_file = self.cache_dir / "default__vector_store" / index_ext + store_file = self.cache_dir / "docstore" / docstore_ext return index_file, store_file @abstractmethod diff --git a/metagpt/document_store/chromadb_store.py b/metagpt/document_store/chromadb_store.py index d7344d41b..1d3a014ee 100644 --- a/metagpt/document_store/chromadb_store.py +++ b/metagpt/document_store/chromadb_store.py @@ -11,9 +11,9 @@ import chromadb class ChromaStore: """If inherited from BaseStore, or importing other modules from metagpt, a Python exception occurs, which is strange.""" - def __init__(self, name): + def __init__(self, name: str, get_or_create: bool = False): client = chromadb.Client() - collection = client.create_collection(name) + collection = client.create_collection(name, get_or_create=get_or_create) self.client = client self.collection = collection diff --git a/metagpt/document_store/faiss_store.py b/metagpt/document_store/faiss_store.py index 2359917d5..b196bef27 100644 --- a/metagpt/document_store/faiss_store.py +++ b/metagpt/document_store/faiss_store.py @@ -7,10 +7,14 @@ """ import asyncio from pathlib import Path -from typing import Optional +from typing import Any, Optional -from langchain.vectorstores import FAISS -from langchain_core.embeddings import Embeddings +import faiss +from llama_index.core import VectorStoreIndex, load_index_from_storage +from llama_index.core.embeddings import BaseEmbedding +from llama_index.core.schema import Document, QueryBundle, TextNode +from llama_index.core.storage import StorageContext +from llama_index.vector_stores.faiss import FaissVectorStore from metagpt.document import IndexableDocument from metagpt.document_store.base_store import LocalStore @@ -20,36 +24,50 @@ from metagpt.utils.embedding import get_embedding class FaissStore(LocalStore): def __init__( - self, raw_data: Path, cache_dir=None, meta_col="source", content_col="output", embedding: Embeddings = None + self, raw_data: Path, cache_dir=None, meta_col="source", content_col="output", embedding: BaseEmbedding = None ): self.meta_col = meta_col self.content_col = content_col self.embedding = embedding or get_embedding() + self.store: VectorStoreIndex super().__init__(raw_data, cache_dir) - def _load(self) -> Optional["FaissStore"]: - index_file, store_file = self._get_index_and_store_fname(index_ext=".faiss") # langchain FAISS using .faiss + def _load(self) -> Optional["VectorStoreIndex"]: + index_file, store_file = self._get_index_and_store_fname() if not (index_file.exists() and store_file.exists()): logger.info("Missing at least one of index_file/store_file, load failed and return None") return None + vector_store = FaissVectorStore.from_persist_dir(persist_dir=self.cache_dir) + storage_context = StorageContext.from_defaults(persist_dir=self.cache_dir, vector_store=vector_store) + index = load_index_from_storage(storage_context, embed_model=self.embedding) - return FAISS.load_local(self.raw_data_path.parent, self.embedding, self.fname) + return index - def _write(self, docs, metadatas): - store = FAISS.from_texts(docs, self.embedding, metadatas=metadatas) - return store + def _write(self, docs: list[str], metadatas: list[dict[str, Any]]) -> VectorStoreIndex: + assert len(docs) == len(metadatas) + documents = [Document(text=doc, metadata=metadatas[idx]) for idx, doc in enumerate(docs)] + + vector_store = FaissVectorStore(faiss_index=faiss.IndexFlatL2(1536)) + storage_context = StorageContext.from_defaults(vector_store=vector_store) + index = VectorStoreIndex.from_documents( + documents=documents, storage_context=storage_context, embed_model=self.embedding + ) + + return index def persist(self): - self.store.save_local(self.raw_data_path.parent, self.fname) + self.store.storage_context.persist(self.cache_dir) + + def search(self, query: str, expand_cols=False, sep="\n", *args, k=5, **kwargs): + retriever = self.store.as_retriever(similarity_top_k=k) + rsp = retriever.retrieve(QueryBundle(query_str=query, embedding=self.embedding.get_text_embedding(query))) - def search(self, query, expand_cols=False, sep="\n", *args, k=5, **kwargs): - rsp = self.store.similarity_search(query, k=k, **kwargs) logger.debug(rsp) if expand_cols: - return str(sep.join([f"{x.page_content}: {x.metadata}" for x in rsp])) + return str(sep.join([f"{x.node.text}: {x.node.metadata}" for x in rsp])) else: - return str(sep.join([f"{x.page_content}" for x in rsp])) + return str(sep.join([f"{x.node.text}" for x in rsp])) async def asearch(self, *args, **kwargs): return await asyncio.to_thread(self.search, *args, **kwargs) @@ -67,8 +85,12 @@ class FaissStore(LocalStore): def add(self, texts: list[str], *args, **kwargs) -> list[str]: """FIXME: Currently, the store is not updated after adding.""" - return self.store.add_texts(texts) + texts_embeds = self.embedding.get_text_embedding_batch(texts) + nodes = [TextNode(text=texts[idx], embedding=embed) for idx, embed in enumerate(texts_embeds)] + self.store.insert_nodes(nodes) + + return [] def delete(self, *args, **kwargs): - """Currently, langchain does not provide a delete interface.""" + """Currently, faiss does not provide a delete interface.""" raise NotImplementedError diff --git a/metagpt/environment/README.md b/metagpt/environment/README.md index 49b427c44..bb7d50d50 100644 --- a/metagpt/environment/README.md +++ b/metagpt/environment/README.md @@ -34,5 +34,5 @@ # do a `tap` action on the screen ## TODO - add android app operation assistant under `examples/android_assistant` - migrate roles/actions of werewolf game from old version into current version -- migrate roles/actions of mincraft game from old version into current version +- migrate roles/actions of minecraft game from old version into current version - migrate roles/actions of stanford_town game from old version into current version diff --git a/metagpt/environment/__init__.py b/metagpt/environment/__init__.py index 692672fa7..28981f2f8 100644 --- a/metagpt/environment/__init__.py +++ b/metagpt/environment/__init__.py @@ -4,10 +4,9 @@ from metagpt.environment.base_env import Environment from metagpt.environment.android_env.android_env import AndroidEnv -from metagpt.environment.mincraft_env.mincraft_env import MincraftExtEnv from metagpt.environment.werewolf_env.werewolf_env import WerewolfEnv from metagpt.environment.stanford_town_env.stanford_town_env import StanfordTownEnv from metagpt.environment.software_env.software_env import SoftwareEnv -__all__ = ["AndroidEnv", "MincraftExtEnv", "WerewolfEnv", "StanfordTownEnv", "SoftwareEnv", "Environment"] +__all__ = ["AndroidEnv", "WerewolfEnv", "StanfordTownEnv", "SoftwareEnv", "Environment"] diff --git a/metagpt/environment/base_env.py b/metagpt/environment/base_env.py index 0e583ffb3..942bf2409 100644 --- a/metagpt/environment/base_env.py +++ b/metagpt/environment/base_env.py @@ -26,7 +26,7 @@ class EnvType(Enum): ANDROID = "Android" GYM = "Gym" WEREWOLF = "Werewolf" - MINCRAFT = "Mincraft" + MINECRAFT = "Minecraft" STANFORDTOWN = "StanfordTown" @@ -47,7 +47,7 @@ def mark_as_writeable(func): class ExtEnv(BaseModel): - """External Env to intergate actual game environment""" + """External Env to integrate actual game environment""" def _check_api_exist(self, rw_api: Optional[str] = None): if not rw_api: @@ -129,8 +129,8 @@ class Environment(ExtEnv): self.roles[role.profile] = role for role in roles: # setup system message with roles - role.set_env(self) role.context = self.context + role.set_env(self) def publish_message(self, message: Message, peekable: bool = True) -> bool: """ diff --git a/metagpt/environment/mincraft_env/__init__.py b/metagpt/environment/minecraft_env/__init__.py similarity index 100% rename from metagpt/environment/mincraft_env/__init__.py rename to metagpt/environment/minecraft_env/__init__.py diff --git a/metagpt/environment/mincraft_env/const.py b/metagpt/environment/minecraft_env/const.py similarity index 92% rename from metagpt/environment/mincraft_env/const.py rename to metagpt/environment/minecraft_env/const.py index a7222f9cd..8ac15decc 100644 --- a/metagpt/environment/mincraft_env/const.py +++ b/metagpt/environment/minecraft_env/const.py @@ -4,8 +4,8 @@ from metagpt.const import METAGPT_ROOT -# For Mincraft Game Agent -MC_CKPT_DIR = METAGPT_ROOT / "data/mincraft/ckpt" +# For Minecraft Game Agent +MC_CKPT_DIR = METAGPT_ROOT / "data/minecraft/ckpt" MC_LOG_DIR = METAGPT_ROOT / "logs" MC_DEFAULT_WARMUP = { "context": 15, diff --git a/metagpt/environment/mincraft_env/mincraft_env.py b/metagpt/environment/minecraft_env/minecraft_env.py similarity index 94% rename from metagpt/environment/mincraft_env/mincraft_env.py rename to metagpt/environment/minecraft_env/minecraft_env.py index 6327aa3f4..26d4d03a8 100644 --- a/metagpt/environment/mincraft_env/mincraft_env.py +++ b/metagpt/environment/minecraft_env/minecraft_env.py @@ -1,6 +1,6 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- -# @Desc : MG Mincraft Env +# @Desc : MG Minecraft Env # refs to `voyager voyager.py` import json @@ -8,20 +8,19 @@ import re import time from typing import Any, Iterable -from langchain.embeddings.openai import OpenAIEmbeddings -from langchain.vectorstores import Chroma from pydantic import ConfigDict, Field from metagpt.config2 import config as CONFIG from metagpt.environment.base_env import Environment -from metagpt.environment.mincraft_env.const import MC_CKPT_DIR -from metagpt.environment.mincraft_env.mincraft_ext_env import MincraftExtEnv +from metagpt.environment.minecraft_env.const import MC_CKPT_DIR +from metagpt.environment.minecraft_env.minecraft_ext_env import MinecraftExtEnv from metagpt.logs import logger +from metagpt.rag.vector_stores.chroma import ChromaVectorStore from metagpt.utils.common import load_mc_skills_code, read_json_file, write_json_file -class MincraftEnv(Environment, MincraftExtEnv): - """MincraftEnv, including shared memory of cache and infomation between roles""" +class MinecraftEnv(Environment, MinecraftExtEnv): + """MinecraftEnv, including shared memory of cache and information between roles""" model_config = ConfigDict(arbitrary_types_allowed=True) @@ -48,9 +47,9 @@ class MincraftEnv(Environment, MincraftExtEnv): runtime_status: bool = False # equal to action execution status: success or failed - vectordb: Chroma = Field(default_factory=Chroma) + vectordb: ChromaVectorStore = Field(default_factory=ChromaVectorStore) - qa_cache_questions_vectordb: Chroma = Field(default_factory=Chroma) + qa_cache_questions_vectordb: ChromaVectorStore = Field(default_factory=ChromaVectorStore) @property def progress(self): @@ -73,16 +72,14 @@ class MincraftEnv(Environment, MincraftExtEnv): self.set_mc_resume() def set_mc_resume(self): - self.qa_cache_questions_vectordb = Chroma( + self.qa_cache_questions_vectordb = ChromaVectorStore( collection_name="qa_cache_questions_vectordb", - embedding_function=OpenAIEmbeddings(), - persist_directory=f"{MC_CKPT_DIR}/curriculum/vectordb", + persist_dir=f"{MC_CKPT_DIR}/curriculum/vectordb", ) - self.vectordb = Chroma( + self.vectordb = ChromaVectorStore( collection_name="skill_vectordb", - embedding_function=OpenAIEmbeddings(), - persist_directory=f"{MC_CKPT_DIR}/skill/vectordb", + persist_dir=f"{MC_CKPT_DIR}/skill/vectordb", ) if CONFIG.resume: diff --git a/metagpt/environment/mincraft_env/mincraft_ext_env.py b/metagpt/environment/minecraft_env/minecraft_ext_env.py similarity index 95% rename from metagpt/environment/mincraft_env/mincraft_ext_env.py rename to metagpt/environment/minecraft_env/minecraft_ext_env.py index b86250d8c..3b793079f 100644 --- a/metagpt/environment/mincraft_env/mincraft_ext_env.py +++ b/metagpt/environment/minecraft_env/minecraft_ext_env.py @@ -1,6 +1,6 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- -# @Desc : The Mincraft external environment to integrate with Mincraft game +# @Desc : The Minecraft external environment to integrate with Minecraft game # refs to `voyager bridge.py` import json @@ -11,18 +11,18 @@ import requests from pydantic import ConfigDict, Field, model_validator from metagpt.environment.base_env import ExtEnv, mark_as_writeable -from metagpt.environment.mincraft_env.const import ( +from metagpt.environment.minecraft_env.const import ( MC_CKPT_DIR, MC_CORE_INVENTORY_ITEMS, MC_CURRICULUM_OB, MC_DEFAULT_WARMUP, METAGPT_ROOT, ) -from metagpt.environment.mincraft_env.process_monitor import SubprocessMonitor +from metagpt.environment.minecraft_env.process_monitor import SubprocessMonitor from metagpt.logs import logger -class MincraftExtEnv(ExtEnv): +class MinecraftExtEnv(ExtEnv): model_config = ConfigDict(arbitrary_types_allowed=True) mc_port: Optional[int] = Field(default=None) @@ -48,7 +48,7 @@ class MincraftExtEnv(ExtEnv): self.mineflayer = SubprocessMonitor( commands=[ "node", - METAGPT_ROOT.joinpath("metagpt", "environment", "mincraft_env", "mineflayer", "index.js"), + METAGPT_ROOT.joinpath("metagpt", "environment", "minecraft_env", "mineflayer", "index.js"), str(self.server_port), ], name="mineflayer", diff --git a/metagpt/environment/mincraft_env/mineflayer/.gitignore b/metagpt/environment/minecraft_env/mineflayer/.gitignore similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/.gitignore rename to metagpt/environment/minecraft_env/mineflayer/.gitignore diff --git a/metagpt/environment/mincraft_env/mineflayer/.prettierignore b/metagpt/environment/minecraft_env/mineflayer/.prettierignore similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/.prettierignore rename to metagpt/environment/minecraft_env/mineflayer/.prettierignore diff --git a/metagpt/environment/mincraft_env/mineflayer/.prettierrc.json b/metagpt/environment/minecraft_env/mineflayer/.prettierrc.json similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/.prettierrc.json rename to metagpt/environment/minecraft_env/mineflayer/.prettierrc.json diff --git a/metagpt/environment/mincraft_env/mineflayer/index.js b/metagpt/environment/minecraft_env/mineflayer/index.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/index.js rename to metagpt/environment/minecraft_env/mineflayer/index.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/base.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/base.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/base.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/base.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/chests.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/chests.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/chests.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/chests.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/inventory.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/inventory.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/inventory.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/inventory.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/onChat.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/onChat.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/onChat.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/onChat.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/onError.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/onError.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/onError.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/onError.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/onSave.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/onSave.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/onSave.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/onSave.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/status.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/status.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/status.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/status.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/observation/voxels.js b/metagpt/environment/minecraft_env/mineflayer/lib/observation/voxels.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/observation/voxels.js rename to metagpt/environment/minecraft_env/mineflayer/lib/observation/voxels.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/skillLoader.js b/metagpt/environment/minecraft_env/mineflayer/lib/skillLoader.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/skillLoader.js rename to metagpt/environment/minecraft_env/mineflayer/lib/skillLoader.js diff --git a/metagpt/environment/mincraft_env/mineflayer/lib/utils.js b/metagpt/environment/minecraft_env/mineflayer/lib/utils.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/lib/utils.js rename to metagpt/environment/minecraft_env/mineflayer/lib/utils.js diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/.gitignore b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/.gitignore similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/.gitignore rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/.gitignore diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/LICENSE b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/LICENSE similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/LICENSE rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/LICENSE diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/README.md b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/README.md similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/README.md rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/README.md diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/_config.yml b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/_config.yml similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/_config.yml rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/_config.yml diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/docs/api.md b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/docs/api.md similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/docs/api.md rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/docs/api.md diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/examples/collector.js b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/examples/collector.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/examples/collector.js rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/examples/collector.js diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/examples/oreMiner.js b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/examples/oreMiner.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/examples/oreMiner.js rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/examples/oreMiner.js diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/examples/storageBot.js b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/examples/storageBot.js similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/examples/storageBot.js rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/examples/storageBot.js diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/package.json b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/package.json similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/package.json rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/package.json diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/BlockVeins.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/BlockVeins.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/BlockVeins.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/BlockVeins.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/CollectBlock.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/CollectBlock.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/CollectBlock.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/CollectBlock.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/Inventory.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/Inventory.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/Inventory.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/Inventory.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/Targets.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/Targets.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/Targets.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/Targets.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/TaskQueue.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/TaskQueue.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/TaskQueue.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/TaskQueue.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/TemporarySubscriber.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/TemporarySubscriber.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/TemporarySubscriber.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/TemporarySubscriber.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/Util.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/Util.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/Util.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/Util.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/index.ts b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/index.ts similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/src/index.ts rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/src/index.ts diff --git a/metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/tsconfig.json b/metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/tsconfig.json similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/mineflayer-collectblock/tsconfig.json rename to metagpt/environment/minecraft_env/mineflayer/mineflayer-collectblock/tsconfig.json diff --git a/metagpt/environment/mincraft_env/mineflayer/package.json b/metagpt/environment/minecraft_env/mineflayer/package.json similarity index 100% rename from metagpt/environment/mincraft_env/mineflayer/package.json rename to metagpt/environment/minecraft_env/mineflayer/package.json diff --git a/metagpt/environment/mincraft_env/process_monitor.py b/metagpt/environment/minecraft_env/process_monitor.py similarity index 100% rename from metagpt/environment/mincraft_env/process_monitor.py rename to metagpt/environment/minecraft_env/process_monitor.py diff --git a/metagpt/learn/skill_loader.py b/metagpt/learn/skill_loader.py index bcf28bb87..e98f73cf9 100644 --- a/metagpt/learn/skill_loader.py +++ b/metagpt/learn/skill_loader.py @@ -9,11 +9,11 @@ from pathlib import Path from typing import Dict, List, Optional -import aiofiles import yaml from pydantic import BaseModel, Field from metagpt.context import Context +from metagpt.utils.common import aread class Example(BaseModel): @@ -68,8 +68,7 @@ class SkillsDeclaration(BaseModel): async def load(skill_yaml_file_name: Path = None) -> "SkillsDeclaration": if not skill_yaml_file_name: skill_yaml_file_name = Path(__file__).parent.parent.parent / "docs/.well-known/skills.yaml" - async with aiofiles.open(str(skill_yaml_file_name), mode="r") as reader: - data = await reader.read(-1) + data = await aread(filename=skill_yaml_file_name) skill_data = yaml.safe_load(data) return SkillsDeclaration(**skill_data) diff --git a/metagpt/memory/brain_memory.py b/metagpt/memory/brain_memory.py index 044b0b359..c58148ead 100644 --- a/metagpt/memory/brain_memory.py +++ b/metagpt/memory/brain_memory.py @@ -186,7 +186,7 @@ class BrainMemory(BaseModel): summaries = [summary, command] msg = "\n".join(summaries) logger.debug(f"title ask:{msg}") - response = await llm.aask(msg=msg, system_msgs=[]) + response = await llm.aask(msg=msg, system_msgs=[], stream=False) logger.debug(f"title rsp: {response}") return response @@ -201,11 +201,15 @@ class BrainMemory(BaseModel): @staticmethod async def _openai_is_related(text1, text2, llm, **kwargs): - command = ( - f"{text2}\n\nIs there any sentence above related to the following sentence: {text1}.\nIf is there " - "any relevance, return [TRUE] brief and clear. Otherwise, return [FALSE] brief and clear." + context = f"## Paragraph 1\n{text2}\n---\n## Paragraph 2\n{text1}\n" + rsp = await llm.aask( + msg=context, + system_msgs=[ + "You are a tool capable of determining whether two paragraphs are semantically related." + 'Return "TRUE" if "Paragraph 1" is semantically relevant to "Paragraph 2", otherwise return "FALSE".' + ], + stream=False, ) - rsp = await llm.aask(msg=command, system_msgs=[]) result = True if "TRUE" in rsp else False p2 = text2.replace("\n", "") p1 = text1.replace("\n", "") @@ -223,12 +227,17 @@ class BrainMemory(BaseModel): @staticmethod async def _openai_rewrite(sentence: str, context: str, llm): - command = ( - f"{context}\n\nExtract relevant information from every preceding sentence and use it to succinctly " - f"supplement or rewrite the following text in brief and clear:\n{sentence}" + prompt = f"## Context\n{context}\n---\n## Sentence\n{sentence}\n" + rsp = await llm.aask( + msg=prompt, + system_msgs=[ + 'You are a tool augmenting the "Sentence" with information from the "Context".', + "Do not supplement the context with information that is not present, especially regarding the subject and object.", + "Return the augmented sentence.", + ], + stream=False, ) - rsp = await llm.aask(msg=command, system_msgs=[]) - logger.info(f"REWRITE:\nCommand: {command}\nRESULT: {rsp}\n") + logger.info(f"REWRITE:\nCommand: {prompt}\nRESULT: {rsp}\n") return rsp @staticmethod @@ -293,14 +302,14 @@ class BrainMemory(BaseModel): """Generate text summary""" if len(text) < max_words: return text + system_msgs = [ + "You are a tool for summarizing and abstracting text.", + f"Return the summarized text to less than {max_words} words.", + ] if keep_language: - command = f".Translate the above content into a summary of less than {max_words} words in language of the content strictly." - else: - command = f"Translate the above content into a summary of less than {max_words} words." - msg = text + "\n\n" + command - logger.debug(f"summary ask:{msg}") - response = await self.llm.aask(msg=msg, system_msgs=[]) - logger.debug(f"summary rsp: {response}") + system_msgs.append("The generated summary should be in the same language as the original text.") + response = await self.llm.aask(msg=text, system_msgs=system_msgs, stream=False) + logger.debug(f"{text}\nsummary rsp: {response}") return response @staticmethod diff --git a/metagpt/memory/longterm_memory.py b/metagpt/memory/longterm_memory.py index 5a139a93b..e960ad6ec 100644 --- a/metagpt/memory/longterm_memory.py +++ b/metagpt/memory/longterm_memory.py @@ -29,16 +29,14 @@ class LongTermMemory(Memory): msg_from_recover: bool = False def recover_memory(self, role_id: str, rc: RoleContext): - messages = self.memory_storage.recover_memory(role_id) + self.memory_storage.recover_memory(role_id) self.rc = rc if not self.memory_storage.is_initialized: - logger.warning(f"It may the first time to run Agent {role_id}, the long-term memory is empty") + logger.warning(f"It may the first time to run Role {role_id}, the long-term memory is empty") else: - logger.warning( - f"Agent {role_id} has existing memory storage with {len(messages)} messages " f"and has recovered them." - ) + logger.warning(f"Role {role_id} has existing memory storage and has recovered them.") self.msg_from_recover = True - self.add_batch(messages) + # self.add_batch(messages) # TODO no need self.msg_from_recover = False def add(self, message: Message): @@ -49,7 +47,7 @@ class LongTermMemory(Memory): # and ignore adding messages from recover repeatedly self.memory_storage.add(message) - def find_news(self, observed: list[Message], k=0) -> list[Message]: + async def find_news(self, observed: list[Message], k=0) -> list[Message]: """ find news (previously unseen messages) from the the most recent k memories, from all memories when k=0 1. find the short-term memory(stm) news @@ -63,11 +61,14 @@ class LongTermMemory(Memory): ltm_news: list[Message] = [] for mem in stm_news: # filter out messages similar to those seen previously in ltm, only keep fresh news - mem_searched = self.memory_storage.search_dissimilar(mem) - if len(mem_searched) > 0: + mem_searched = await self.memory_storage.search_similar(mem) + if len(mem_searched) == 0: ltm_news.append(mem) return ltm_news[-k:] + def persist(self): + self.memory_storage.persist() + def delete(self, message: Message): super().delete(message) # TODO delete message in memory_storage diff --git a/metagpt/memory/memory_storage.py b/metagpt/memory/memory_storage.py index c029d027b..88ab49028 100644 --- a/metagpt/memory/memory_storage.py +++ b/metagpt/memory/memory_storage.py @@ -3,115 +3,75 @@ """ @Desc : the implement of memory storage """ - +import shutil from pathlib import Path -from typing import Optional -from langchain.embeddings import OpenAIEmbeddings -from langchain.vectorstores.faiss import FAISS -from langchain_core.embeddings import Embeddings +from llama_index.core.embeddings import BaseEmbedding from metagpt.const import DATA_PATH, MEM_TTL -from metagpt.document_store.faiss_store import FaissStore from metagpt.logs import logger +from metagpt.rag.engines.simple import SimpleEngine +from metagpt.rag.schema import FAISSIndexConfig, FAISSRetrieverConfig from metagpt.schema import Message -from metagpt.utils.serialize import deserialize_message, serialize_message +from metagpt.utils.embedding import get_embedding -class MemoryStorage(FaissStore): +class MemoryStorage(object): """ The memory storage with Faiss as ANN search engine """ - def __init__(self, mem_ttl: int = MEM_TTL, embedding: Embeddings = None): + def __init__(self, mem_ttl: int = MEM_TTL, embedding: BaseEmbedding = None): self.role_id: str = None self.role_mem_path: str = None self.mem_ttl: int = mem_ttl # later use self.threshold: float = 0.1 # experience value. TODO The threshold to filter similar memories self._initialized: bool = False + self.embedding = embedding or get_embedding() - self.embedding = embedding or OpenAIEmbeddings() - self.store: FAISS = None # Faiss engine + self.faiss_engine = None @property def is_initialized(self) -> bool: return self._initialized - def _load(self) -> Optional["FaissStore"]: - index_file, store_file = self._get_index_and_store_fname(index_ext=".faiss") # langchain FAISS using .faiss - - if not (index_file.exists() and store_file.exists()): - logger.info("Missing at least one of index_file/store_file, load failed and return None") - return None - - return FAISS.load_local(self.role_mem_path, self.embedding, self.role_id) - def recover_memory(self, role_id: str) -> list[Message]: self.role_id = role_id self.role_mem_path = Path(DATA_PATH / f"role_mem/{self.role_id}/") self.role_mem_path.mkdir(parents=True, exist_ok=True) + self.cache_dir = self.role_mem_path - self.store = self._load() - messages = [] - if not self.store: - # TODO init `self.store` under here with raw faiss api instead under `add` - pass + if self.role_mem_path.joinpath("default__vector_store.json").exists(): + self.faiss_engine = SimpleEngine.from_index( + index_config=FAISSIndexConfig(persist_path=self.cache_dir), + retriever_configs=[FAISSRetrieverConfig()], + embed_model=self.embedding, + ) else: - for _id, document in self.store.docstore._dict.items(): - messages.append(deserialize_message(document.metadata.get("message_ser"))) - self._initialized = True - - return messages - - def _get_index_and_store_fname(self, index_ext=".index", pkl_ext=".pkl"): - if not self.role_mem_path: - logger.error(f"You should call {self.__class__.__name__}.recover_memory fist when using LongTermMemory") - return None, None - index_fpath = Path(self.role_mem_path / f"{self.role_id}{index_ext}") - storage_fpath = Path(self.role_mem_path / f"{self.role_id}{pkl_ext}") - return index_fpath, storage_fpath - - def persist(self): - self.store.save_local(self.role_mem_path, self.role_id) - logger.debug(f"Agent {self.role_id} persist memory into local") + self.faiss_engine = SimpleEngine.from_objs( + objs=[], retriever_configs=[FAISSRetrieverConfig()], embed_model=self.embedding + ) + self._initialized = True def add(self, message: Message) -> bool: """add message into memory storage""" - docs = [message.content] - metadatas = [{"message_ser": serialize_message(message)}] - if not self.store: - # init Faiss - self.store = self._write(docs, metadatas) - self._initialized = True - else: - self.store.add_texts(texts=docs, metadatas=metadatas) - self.persist() - logger.info(f"Agent {self.role_id}'s memory_storage add a message") + self.faiss_engine.add_objs([message]) + logger.info(f"Role {self.role_id}'s memory_storage add a message") - def search_dissimilar(self, message: Message, k=4) -> list[Message]: - """search for dissimilar messages""" - if not self.store: - return [] - - resp = self.store.similarity_search_with_score(query=message.content, k=k) + async def search_similar(self, message: Message, k=4) -> list[Message]: + """search for similar messages""" # filter the result which score is smaller than the threshold filtered_resp = [] - for item, score in resp: - # the smaller score means more similar relation - if score < self.threshold: - continue - # convert search result into Memory - metadata = item.metadata - new_mem = deserialize_message(metadata.get("message_ser")) - filtered_resp.append(new_mem) + resp = await self.faiss_engine.aretrieve(message.content) + for item in resp: + if item.score < self.threshold: + filtered_resp.append(item.metadata.get("obj")) return filtered_resp def clean(self): - index_fpath, storage_fpath = self._get_index_and_store_fname() - if index_fpath and index_fpath.exists(): - index_fpath.unlink(missing_ok=True) - if storage_fpath and storage_fpath.exists(): - storage_fpath.unlink(missing_ok=True) - - self.store = None + shutil.rmtree(self.cache_dir, ignore_errors=True) self._initialized = False + + def persist(self): + if self.faiss_engine: + self.faiss_engine.retriever._index.storage_context.persist(self.cache_dir) diff --git a/metagpt/prompts/ci/ml_action.py b/metagpt/prompts/ci/ml_action.py deleted file mode 100644 index 5d27c7ff0..000000000 --- a/metagpt/prompts/ci/ml_action.py +++ /dev/null @@ -1,128 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Time : 2023/11/24 15:43 -# @Author : lidanyang -# @File : ml_action -# @Desc : -UPDATE_DATA_COLUMNS = """ -# Background -Keep dataset column information updated before model train. -## Done Tasks -```python -{history_code} -```end - -# Task -Update and print the dataset's column information only if the train or test data has changed. Use the following code: -```python -from metagpt.tools.libs.data_preprocess import get_column_info - -column_info = get_column_info(df) -print("column_info") -print(column_info) -```end - -# Constraints: -- Use the DataFrame variable from 'Done Tasks' in place of df. -- Import `get_column_info` only if it's not already imported. -""" - -PRINT_DATA_COLUMNS = { - "name": "print_column_info", - "description": "Print the latest column information after 'Done Tasks' code if first read or data changed.", - "parameters": { - "type": "object", - "properties": { - "code": { - "type": "string", - "description": "The code to be added to a new cell in jupyter.", - }, - }, - "required": ["code"], - }, -} - -ML_COMMON_PROMPT = """ -# Background -As a data scientist, you need to help user to achieve their goal [{user_requirement}] step-by-step in an continuous Jupyter notebook. - -## Done Tasks -```python -{history_code} -```end - -## Current Task -{current_task} - -# Latest Data Info -Latest data info after previous tasks: -{column_info} - -# Task -Write complete code for 'Current Task'. And avoid duplicating code from 'Done Tasks', such as repeated import of packages, reading data, etc. -Specifically, {tool_type_usage_prompt} -""" - -USE_NO_TOOLS_EXAMPLE = """ -# Output Example: -when current task is "train a lightgbm model on training data", the code can be like: -```python -# Step 1: check data type and convert to numeric -obj_cols = train.select_dtypes(include='object').columns.tolist() - -for col in obj_cols: - encoder = LabelEncoder() - train[col] = encoder.fit_transform(train[col].unique().tolist() + ['unknown']) - test[col] = test[col].apply(lambda x: x if x in encoder.classes_ else 'unknown') - test[col] = encoder.transform(test[col]) - -# Step 2: train lightgbm model -model = LGBMClassifier() -model.fit(train, y_train) -```end - -# Constraints: -- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed. -""" - -USE_TOOLS_EXAMPLE = """ -# Capabilities -- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class. -- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc.. - -# Available Tools: -Each Class tool is described in JSON format. When you call a tool, import the tool from its path first. -{tool_schemas} - -# Output Example: -when current task is "do data preprocess, like fill missing value, handle outliers, etc.", the code can be like: -```python -# Step 1: fill missing value -# Tools used: ['FillMissingValue'] -from metagpt.tools.libs.data_preprocess import FillMissingValue - -train_processed = train.copy() -test_processed = test.copy() -num_cols = train_processed.select_dtypes(include='number').columns.tolist() -if 'label' in num_cols: - num_cols.remove('label') -fill_missing_value = FillMissingValue(features=num_cols, strategy='mean') -fill_missing_value.fit(train_processed) -train_processed = fill_missing_value.transform(train_processed) -test_processed = fill_missing_value.transform(test_processed) - -# Step 2: handle outliers -for col in num_cols: - low, high = train_processed[col].quantile([0.01, 0.99]) - train_processed[col] = train_processed[col].clip(low, high) - test_processed[col] = test_processed[col].clip(low, high) -```end - -# Constraints: -- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed. -- Always prioritize using pre-defined tools for the same functionality. -- Always copy the DataFrame before processing it and use the copy to process. -""" - -ML_GENERATE_CODE_PROMPT = ML_COMMON_PROMPT + USE_NO_TOOLS_EXAMPLE -ML_TOOL_USAGE_PROMPT = ML_COMMON_PROMPT + USE_TOOLS_EXAMPLE diff --git a/metagpt/prompts/ci/write_analysis_code.py b/metagpt/prompts/ci/write_analysis_code.py deleted file mode 100644 index 4eccefcd1..000000000 --- a/metagpt/prompts/ci/write_analysis_code.py +++ /dev/null @@ -1,93 +0,0 @@ -ASSIGN_TASK_TYPE_PROMPT = """ -Please assign a task type to each task in the list below from the given categories: -{task_info} - -## All Task Type: -{task_type_desc} -""" - -ASSIGN_TASK_TYPE_CONFIG = { - "name": "assign_task_type", - "description": "Assign task type to each task by order.", - "parameters": { - "type": "object", - "properties": { - "task_type": { - "type": "array", - "description": "List of task type. The length should as long as task list", - "items": { - "type": "string", - }, - }, - }, - "required": ["task_type"], - }, -} - -TOOL_RECOMMENDATION_PROMPT = """ -## User Requirement: -{current_task} - -## Task -Recommend up to five tools from 'Available Tools' that can help solve the 'User Requirement'. - -## Available Tools: -{available_tools} - -## Tool Selection and Instructions: -- Select tools most relevant to completing the 'User Requirement'. -- If you believe that no tools are suitable, indicate with an empty list. -- Only list the names of the tools, not the full schema of each tool. -- Ensure selected tools are listed in 'Available Tools'. -""" - -SELECT_FUNCTION_TOOLS = { - "name": "select_function_tools", - "description": "For current task, select suitable tools for it.", - "parameters": { - "type": "object", - "properties": { - "recommend_tools": { - "type": "array", - "description": "List of tool names. Empty list if no tool is suitable.", - "items": { - "type": "string", - }, - }, - }, - "required": ["recommend_tools"], - }, -} - -CODE_GENERATOR_WITH_TOOLS = { - "name": "add_subtask_code", - "description": "Add new code cell of current task to the end of an active Jupyter notebook.", - "parameters": { - "type": "object", - "properties": { - "code": { - "type": "string", - "description": "The code to be added to a new cell in jupyter.", - }, - }, - "required": ["code"], - }, -} - -TOOL_USAGE_PROMPT = """ -# Instruction -Write complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc. -Specifically, {tool_type_usage_prompt} - -# Capabilities -- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class. -- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc.. - -# Available Tools (can be empty): -Each Class tool is described in JSON format. When you call a tool, import the tool first. -{tool_schemas} - -# Constraints: -- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed. -- Always prioritize using pre-defined tools for the same functionality. -""" diff --git a/metagpt/prompts/di/__init__.py b/metagpt/prompts/di/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/metagpt/prompts/di/write_analysis_code.py b/metagpt/prompts/di/write_analysis_code.py new file mode 100644 index 000000000..e5663d498 --- /dev/null +++ b/metagpt/prompts/di/write_analysis_code.py @@ -0,0 +1,112 @@ +INTERPRETER_SYSTEM_MSG = """As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.""" + +STRUCTUAL_PROMPT = """ +# User Requirement +{user_requirement} + +# Plan Status +{plan_status} + +# Tool Info +{tool_info} + +# Constraints +- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly. +- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code. +- Always prioritize using pre-defined tools for the same functionality. + +# Output +While some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format: +```python +your code +``` +""" + +REFLECTION_SYSTEM_MSG = """You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation.""" + +DEBUG_REFLECTION_EXAMPLE = ''' +[previous impl]: +assistant: +```python +def add(a: int, b: int) -> int: + """ + Given integers a and b, return the total value of a and b. + """ + return a - b +``` + +user: +Tests failed: +assert add(1, 2) == 3 # output: -1 +assert add(1, 2) == 4 # output: -1 + +[reflection on previous impl]: +The implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input. + +[improved impl]: +def add(a: int, b: int) -> int: + """ + Given integers a and b, return the total value of a and b. + """ + return a + b +''' + +REFLECTION_PROMPT = """ +[example] +Here is an example of debugging with reflection. +{debug_example} +[/example] + +[context] +{context} + +[previous impl]: +{previous_impl} + +[instruction] +Analyze your previous code and error in [context] step by step, provide me with improved method and code. Remember to follow [context] requirement. Don't forget to write code for steps behind the error step. +Output a json following the format: +```json +{{ + "reflection": str = "Reflection on previous implementation", + "improved_impl": str = "Refined code after reflection.", +}} +``` +""" + +CHECK_DATA_PROMPT = """ +# Background +Check latest data info to guide subsequent tasks. + +## Finished Tasks +```python +{code_written} +```end + +# Task +Check code in finished tasks, print key variables to guide your following actions. +Specifically, if it is a data analysis or machine learning task, print the the latest column information using the following code, with DataFrame variable from 'Finished Tasks' in place of df: +```python +from metagpt.tools.libs.data_preprocess import get_column_info + +column_info = get_column_info(df) +print("column_info") +print(column_info) +```end +Otherwise, print out any key variables you see fit. Return an empty string if you think there is no important data to check. + +# Constraints: +- Your code is to be added to a new cell in jupyter. + +# Instruction +Output code following the format: +```python +your code +``` +""" + +DATA_INFO = """ +# Latest Data Info +Latest data info after previous tasks: +{info} +""" diff --git a/metagpt/prompts/tool_types.py b/metagpt/prompts/task_type.py similarity index 79% rename from metagpt/prompts/tool_types.py rename to metagpt/prompts/task_type.py index f27fbea99..5b1ffc744 100644 --- a/metagpt/prompts/tool_types.py +++ b/metagpt/prompts/task_type.py @@ -1,4 +1,11 @@ -# Prompt for using tools of "data_preprocess" type +# Prompt for taking on "eda" tasks +EDA_PROMPT = """ +The current task is about exploratory data analysis, please note the following: +- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation. +- Remember to `import numpy as np` before using Numpy functions. +""" + +# Prompt for taking on "data_preprocess" tasks DATA_PREPROCESS_PROMPT = """ The current task is about data preprocessing, please note the following: - Monitor data types per column, applying appropriate methods. @@ -8,9 +15,10 @@ The current task is about data preprocessing, please note the following: - Prefer alternatives to one-hot encoding for categorical data. - Only encode or scale necessary columns to allow for potential feature-specific engineering tasks (like time_extract, binning, extraction, etc.) later. - Each step do data preprocessing to train, must do same for test separately at the same time. +- Always copy the DataFrame before processing it and use the copy to process. """ -# Prompt for using tools of "feature_engineering" type +# Prompt for taking on "feature_engineering" tasks FEATURE_ENGINEERING_PROMPT = """ The current task is about feature engineering. when performing it, please adhere to the following principles: - Generate as diverse features as possible to improve the model's performance step-by-step. @@ -20,9 +28,10 @@ The current task is about feature engineering. when performing it, please adhere - Each feature engineering operation performed on the train set must also applies to the test separately at the same time. - Avoid using the label column to create features, except for cat encoding. - Use the data from previous task result if exist, do not mock or reload data yourself. +- Always copy the DataFrame before processing it and use the copy to process. """ -# Prompt for using tools of "model_train" type +# Prompt for taking on "model_train" tasks MODEL_TRAIN_PROMPT = """ The current task is about training a model, please ensure high performance: - Keep in mind that your user prioritizes results and is highly focused on model performance. So, when needed, feel free to use models of any complexity to improve effectiveness, such as XGBoost, CatBoost, etc. @@ -31,14 +40,14 @@ The current task is about training a model, please ensure high performance: - Set suitable hyperparameters for the model, make metrics as high as possible. """ -# Prompt for using tools of "model_evaluate" type +# Prompt for taking on "model_evaluate" tasks MODEL_EVALUATE_PROMPT = """ The current task is about evaluating a model, please note the following: - Ensure that the evaluated data is same processed as the training data. If not, remember use object in 'Done Tasks' to transform the data. - Use trained model from previous task result directly, do not mock or reload model yourself. """ -# Prompt for using tools of "vision" type +# Prompt for taking on "image2webpage" tasks IMAGE2WEBPAGE_PROMPT = """ The current task is about converting image into webpage code. please note the following: - Single-Step Code Generation: Execute the entire code generation process in a single step, encompassing HTML, CSS, and JavaScript. Avoid fragmenting the code generation into multiple separate steps to maintain consistency and simplify the development workflow. diff --git a/metagpt/provider/__init__.py b/metagpt/provider/__init__.py index 675734811..14d5e7682 100644 --- a/metagpt/provider/__init__.py +++ b/metagpt/provider/__init__.py @@ -6,21 +6,20 @@ @File : __init__.py """ -from metagpt.provider.fireworks_api import FireworksLLM from metagpt.provider.google_gemini_api import GeminiLLM from metagpt.provider.ollama_api import OllamaLLM -from metagpt.provider.open_llm_api import OpenLLM from metagpt.provider.openai_api import OpenAILLM from metagpt.provider.zhipuai_api import ZhiPuAILLM from metagpt.provider.azure_openai_api import AzureOpenAILLM from metagpt.provider.metagpt_api import MetaGPTLLM from metagpt.provider.human_provider import HumanProvider from metagpt.provider.spark_api import SparkLLM +from metagpt.provider.qianfan_api import QianFanLLM +from metagpt.provider.dashscope_api import DashScopeLLM +from metagpt.provider.anthropic_api import AnthropicLLM __all__ = [ - "FireworksLLM", "GeminiLLM", - "OpenLLM", "OpenAILLM", "ZhiPuAILLM", "AzureOpenAILLM", @@ -28,4 +27,7 @@ __all__ = [ "OllamaLLM", "HumanProvider", "SparkLLM", + "QianFanLLM", + "DashScopeLLM", + "AnthropicLLM", ] diff --git a/metagpt/provider/anthropic_api.py b/metagpt/provider/anthropic_api.py index f31c2d04d..1aeacbe83 100644 --- a/metagpt/provider/anthropic_api.py +++ b/metagpt/provider/anthropic_api.py @@ -1,37 +1,72 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- -""" -@Time : 2023/7/21 11:15 -@Author : Leo Xiao -@File : anthropic_api.py -""" -import anthropic -from anthropic import Anthropic, AsyncAnthropic +from anthropic import AsyncAnthropic +from anthropic.types import Message, Usage -from metagpt.configs.llm_config import LLMConfig +from metagpt.configs.llm_config import LLMConfig, LLMType +from metagpt.const import USE_CONFIG_TIMEOUT +from metagpt.logs import log_llm_stream +from metagpt.provider.base_llm import BaseLLM +from metagpt.provider.llm_provider_registry import register_provider -class Claude2: +@register_provider([LLMType.ANTHROPIC, LLMType.CLAUDE]) +class AnthropicLLM(BaseLLM): def __init__(self, config: LLMConfig): self.config = config + self.__init_anthropic() - def ask(self, prompt: str) -> str: - client = Anthropic(api_key=self.config.api_key) + def __init_anthropic(self): + self.model = self.config.model + self.aclient: AsyncAnthropic = AsyncAnthropic(api_key=self.config.api_key, base_url=self.config.base_url) - res = client.completions.create( - model="claude-2", - prompt=f"{anthropic.HUMAN_PROMPT} {prompt} {anthropic.AI_PROMPT}", - max_tokens_to_sample=1000, - ) - return res.completion + def _const_kwargs(self, messages: list[dict], stream: bool = False) -> dict: + kwargs = { + "model": self.model, + "messages": messages, + "max_tokens": self.config.max_token, + "stream": stream, + } + if self.use_system_prompt: + # if the model support system prompt, extract and pass it + if messages[0]["role"] == "system": + kwargs["messages"] = messages[1:] + kwargs["system"] = messages[0]["content"] # set system prompt here + return kwargs - async def aask(self, prompt: str) -> str: - aclient = AsyncAnthropic(api_key=self.config.api_key) + def _update_costs(self, usage: Usage, model: str = None, local_calc_usage: bool = True): + usage = {"prompt_tokens": usage.input_tokens, "completion_tokens": usage.output_tokens} + super()._update_costs(usage, model) - res = await aclient.completions.create( - model="claude-2", - prompt=f"{anthropic.HUMAN_PROMPT} {prompt} {anthropic.AI_PROMPT}", - max_tokens_to_sample=1000, - ) - return res.completion + def get_choice_text(self, resp: Message) -> str: + return resp.content[0].text + + async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> Message: + resp: Message = await self.aclient.messages.create(**self._const_kwargs(messages)) + self._update_costs(resp.usage, self.model) + return resp + + async def acompletion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> Message: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) + + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: + stream = await self.aclient.messages.create(**self._const_kwargs(messages, stream=True)) + collected_content = [] + usage = Usage(input_tokens=0, output_tokens=0) + async for event in stream: + event_type = event.type + if event_type == "message_start": + usage.input_tokens = event.message.usage.input_tokens + usage.output_tokens = event.message.usage.output_tokens + elif event_type == "content_block_delta": + content = event.delta.text + log_llm_stream(content) + collected_content.append(content) + elif event_type == "message_delta": + usage.output_tokens = event.usage.output_tokens # update final output_tokens + + log_llm_stream("\n") + self._update_costs(usage) + full_content = "".join(collected_content) + return full_content diff --git a/metagpt/provider/azure_openai_api.py b/metagpt/provider/azure_openai_api.py index 6dc32d380..9aeeda00c 100644 --- a/metagpt/provider/azure_openai_api.py +++ b/metagpt/provider/azure_openai_api.py @@ -6,8 +6,6 @@ @Modified By: mashenquan, 2023/11/21. Fix bug: ReadTimeout. @Modified By: mashenquan, 2023/12/1. Fix bug: Unclosed connection caused by openai 0.x. """ - - from openai import AsyncAzureOpenAI from openai._base_client import AsyncHttpxClientWrapper @@ -27,6 +25,7 @@ class AzureOpenAILLM(OpenAILLM): # https://learn.microsoft.com/zh-cn/azure/ai-services/openai/how-to/migration?tabs=python-new%2Cdalle-fix self.aclient = AsyncAzureOpenAI(**kwargs) self.model = self.config.model # Used in _calc_usage & _cons_kwargs + self.pricing_plan = self.config.pricing_plan or self.model def _make_client_kwargs(self) -> dict: kwargs = dict( diff --git a/metagpt/provider/base_llm.py b/metagpt/provider/base_llm.py index b144471b5..db2757ec3 100644 --- a/metagpt/provider/base_llm.py +++ b/metagpt/provider/base_llm.py @@ -6,16 +6,28 @@ @File : base_llm.py @Desc : mashenquan, 2023/8/22. + try catch """ +from __future__ import annotations + import json from abc import ABC, abstractmethod from typing import Optional, Union from openai import AsyncOpenAI +from pydantic import BaseModel +from tenacity import ( + after_log, + retry, + retry_if_exception_type, + stop_after_attempt, + wait_random_exponential, +) from metagpt.configs.llm_config import LLMConfig +from metagpt.const import LLM_API_TIMEOUT, USE_CONFIG_TIMEOUT from metagpt.logs import logger from metagpt.schema import Message -from metagpt.utils.cost_manager import CostManager +from metagpt.utils.common import log_and_reraise +from metagpt.utils.cost_manager import CostManager, Costs class BaseLLM(ABC): @@ -28,7 +40,8 @@ class BaseLLM(ABC): # OpenAI / Azure / Others aclient: Optional[Union[AsyncOpenAI]] = None cost_manager: Optional[CostManager] = None - model: Optional[str] = None + model: Optional[str] = None # deprecated + pricing_plan: Optional[str] = None @abstractmethod def __init__(self, config: LLMConfig): @@ -61,19 +74,64 @@ class BaseLLM(ABC): def _system_msg(self, msg: str) -> dict[str, str]: return {"role": "system", "content": msg} + def format_msg(self, messages: Union[str, Message, list[dict], list[Message], list[str]]) -> list[dict]: + """convert messages to list[dict].""" + from metagpt.schema import Message + + if not isinstance(messages, list): + messages = [messages] + + processed_messages = [] + for msg in messages: + if isinstance(msg, str): + processed_messages.append({"role": "user", "content": msg}) + elif isinstance(msg, dict): + assert set(msg.keys()) == set(["role", "content"]) + processed_messages.append(msg) + elif isinstance(msg, Message): + processed_messages.append(msg.to_dict()) + else: + raise ValueError( + f"Only support message type are: str, Message, dict, but got {type(messages).__name__}!" + ) + return processed_messages + def _system_msgs(self, msgs: list[str]) -> list[dict[str, str]]: return [self._system_msg(msg) for msg in msgs] def _default_system_msg(self): return self._system_msg(self.system_prompt) + def _update_costs(self, usage: Union[dict, BaseModel], model: str = None, local_calc_usage: bool = True): + """update each request's token cost + Args: + model (str): model name or in some scenarios called endpoint + local_calc_usage (bool): some models don't calculate usage, it will overwrite LLMConfig.calc_usage + """ + calc_usage = self.config.calc_usage and local_calc_usage + model = model or self.pricing_plan + model = model or self.model + usage = usage.model_dump() if isinstance(usage, BaseModel) else usage + if calc_usage and self.cost_manager: + try: + prompt_tokens = int(usage.get("prompt_tokens", 0)) + completion_tokens = int(usage.get("completion_tokens", 0)) + self.cost_manager.update_cost(prompt_tokens, completion_tokens, model) + except Exception as e: + logger.error(f"{self.__class__.__name__} updates costs failed! exp: {e}") + + def get_costs(self) -> Costs: + if not self.cost_manager: + return Costs(0, 0, 0, 0) + return self.cost_manager.get_costs() + async def aask( self, - msg: str, + msg: Union[str, list[dict[str, str]]], system_msgs: Optional[list[str]] = None, format_msgs: Optional[list[dict[str, str]]] = None, images: Optional[Union[str, list[str]]] = None, - timeout=3, + timeout=USE_CONFIG_TIMEOUT, stream=True, ) -> str: if system_msgs: @@ -84,30 +142,36 @@ class BaseLLM(ABC): message = [] if format_msgs: message.extend(format_msgs) - message.append(self._user_msg(msg, images=images)) + if isinstance(msg, str): + message.append(self._user_msg(msg, images=images)) + else: + message.extend(msg) logger.debug(message) - rsp = await self.acompletion_text(message, stream=stream, timeout=timeout) + rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout)) return rsp def _extract_assistant_rsp(self, context): return "\n".join([i["content"] for i in context if i["role"] == "assistant"]) - async def aask_batch(self, msgs: list, timeout=3) -> str: + async def aask_batch(self, msgs: list, timeout=USE_CONFIG_TIMEOUT) -> str: """Sequential questioning""" context = [] for msg in msgs: umsg = self._user_msg(msg) context.append(umsg) - rsp_text = await self.acompletion_text(context, timeout=timeout) + rsp_text = await self.acompletion_text(context, timeout=self.get_timeout(timeout)) context.append(self._assistant_msg(rsp_text)) return self._extract_assistant_rsp(context) - async def aask_code(self, messages: Union[str, Message, list[dict]], timeout=3) -> dict: - """FIXME: No code segment filtering has been done here, and all results are actually displayed""" + async def aask_code(self, messages: Union[str, Message, list[dict]], timeout=USE_CONFIG_TIMEOUT, **kwargs) -> dict: raise NotImplementedError @abstractmethod - async def acompletion(self, messages: list[dict], timeout=3): + async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT): + """_achat_completion implemented by inherited class""" + + @abstractmethod + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT): """Asynchronous version of completion All GPTAPIs are required to provide the standard OpenAI completion interface [ @@ -118,8 +182,24 @@ class BaseLLM(ABC): """ @abstractmethod - async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str: + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: + """_achat_completion_stream implemented by inherited class""" + + @retry( + stop=stop_after_attempt(3), + wait=wait_random_exponential(min=1, max=60), + after=after_log(logger, logger.level("WARNING").name), + retry=retry_if_exception_type(ConnectionError), + retry_error_callback=log_and_reraise, + ) + async def acompletion_text( + self, messages: list[dict], stream: bool = False, timeout: int = USE_CONFIG_TIMEOUT + ) -> str: """Asynchronous version of completion. Return str. Support stream-print""" + if stream: + return await self._achat_completion_stream(messages, timeout=self.get_timeout(timeout)) + resp = await self._achat_completion(messages, timeout=self.get_timeout(timeout)) + return self.get_choice_text(resp) def get_choice_text(self, rsp: dict) -> str: """Required to provide the first text of choice""" @@ -176,3 +256,11 @@ class BaseLLM(ABC): def messages_to_dict(self, messages): """objects to [{"role": "user", "content": msg}] etc.""" return [i.to_dict() for i in messages] + + def with_model(self, model: str): + """Set model and return self. For example, `with_model("gpt-3.5-turbo")`.""" + self.config.model = model + return self + + def get_timeout(self, timeout: int) -> int: + return timeout or self.config.timeout or LLM_API_TIMEOUT diff --git a/metagpt/provider/constant.py b/metagpt/provider/constant.py index db67847a8..dee78dc3b 100644 --- a/metagpt/provider/constant.py +++ b/metagpt/provider/constant.py @@ -25,6 +25,7 @@ GENERAL_FUNCTION_SCHEMA = { }, } + # tool_choice value for general_function_schema # https://platform.openai.com/docs/api-reference/chat/create#chat-create-tool_choice GENERAL_TOOL_CHOICE = {"type": "function", "function": {"name": "execute"}} diff --git a/metagpt/provider/dashscope_api.py b/metagpt/provider/dashscope_api.py new file mode 100644 index 000000000..82224e893 --- /dev/null +++ b/metagpt/provider/dashscope_api.py @@ -0,0 +1,228 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : + +import json +from http import HTTPStatus +from typing import Any, AsyncGenerator, Dict, List, Union + +import dashscope +from dashscope.aigc.generation import Generation +from dashscope.api_entities.aiohttp_request import AioHttpRequest +from dashscope.api_entities.api_request_data import ApiRequestData +from dashscope.api_entities.api_request_factory import _get_protocol_params +from dashscope.api_entities.dashscope_response import ( + GenerationOutput, + GenerationResponse, + Message, +) +from dashscope.client.base_api import BaseAioApi +from dashscope.common.constants import SERVICE_API_PATH, ApiProtocol +from dashscope.common.error import ( + InputDataRequired, + InputRequired, + ModelRequired, + UnsupportedApiProtocol, +) + +from metagpt.const import USE_CONFIG_TIMEOUT +from metagpt.logs import log_llm_stream +from metagpt.provider.base_llm import BaseLLM, LLMConfig +from metagpt.provider.llm_provider_registry import LLMType, register_provider +from metagpt.utils.cost_manager import CostManager +from metagpt.utils.token_counter import DASHSCOPE_TOKEN_COSTS + + +def build_api_arequest( + model: str, input: object, task_group: str, task: str, function: str, api_key: str, is_service=True, **kwargs +): + ( + api_protocol, + ws_stream_mode, + is_binary_input, + http_method, + stream, + async_request, + query, + headers, + request_timeout, + form, + resources, + ) = _get_protocol_params(kwargs) + task_id = kwargs.pop("task_id", None) + if api_protocol in [ApiProtocol.HTTP, ApiProtocol.HTTPS]: + if not dashscope.base_http_api_url.endswith("/"): + http_url = dashscope.base_http_api_url + "/" + else: + http_url = dashscope.base_http_api_url + + if is_service: + http_url = http_url + SERVICE_API_PATH + "/" + + if task_group: + http_url += "%s/" % task_group + if task: + http_url += "%s/" % task + if function: + http_url += function + request = AioHttpRequest( + url=http_url, + api_key=api_key, + http_method=http_method, + stream=stream, + async_request=async_request, + query=query, + timeout=request_timeout, + task_id=task_id, + ) + else: + raise UnsupportedApiProtocol("Unsupported protocol: %s, support [http, https, websocket]" % api_protocol) + + if headers is not None: + request.add_headers(headers=headers) + + if input is None and form is None: + raise InputDataRequired("There is no input data and form data") + + request_data = ApiRequestData( + model, + task_group=task_group, + task=task, + function=function, + input=input, + form=form, + is_binary_input=is_binary_input, + api_protocol=api_protocol, + ) + request_data.add_resources(resources) + request_data.add_parameters(**kwargs) + request.data = request_data + return request + + +class AGeneration(Generation, BaseAioApi): + @classmethod + async def acall( + cls, + model: str, + prompt: Any = None, + history: list = None, + api_key: str = None, + messages: List[Message] = None, + plugins: Union[str, Dict[str, Any]] = None, + **kwargs, + ) -> Union[GenerationResponse, AsyncGenerator[GenerationResponse, None]]: + if (prompt is None or not prompt) and (messages is None or not messages): + raise InputRequired("prompt or messages is required!") + if model is None or not model: + raise ModelRequired("Model is required!") + task_group, function = "aigc", "generation" # fixed value + if plugins is not None: + headers = kwargs.pop("headers", {}) + if isinstance(plugins, str): + headers["X-DashScope-Plugin"] = plugins + else: + headers["X-DashScope-Plugin"] = json.dumps(plugins) + kwargs["headers"] = headers + input, parameters = cls._build_input_parameters(model, prompt, history, messages, **kwargs) + + api_key, model = BaseAioApi._validate_params(api_key, model) + request = build_api_arequest( + model=model, + input=input, + task_group=task_group, + task=Generation.task, + function=function, + api_key=api_key, + **kwargs, + ) + response = await request.aio_call() + is_stream = kwargs.get("stream", False) + if is_stream: + + async def aresp_iterator(response): + async for resp in response: + yield GenerationResponse.from_api_response(resp) + + return aresp_iterator(response) + else: + return GenerationResponse.from_api_response(response) + + +@register_provider(LLMType.DASHSCOPE) +class DashScopeLLM(BaseLLM): + def __init__(self, llm_config: LLMConfig): + self.config = llm_config + self.use_system_prompt = False # only some models support system_prompt + self.__init_dashscope() + self.cost_manager = CostManager(token_costs=self.token_costs) + + def __init_dashscope(self): + self.model = self.config.model + self.api_key = self.config.api_key + self.token_costs = DASHSCOPE_TOKEN_COSTS + self.aclient: AGeneration = AGeneration + + # check support system_message models + support_system_models = [ + "qwen-", # all support + "llama2-", # all support + "baichuan2-7b-chat-v1", + "chatglm3-6b", + ] + for support_model in support_system_models: + if support_model in self.model: + self.use_system_prompt = True + + def _const_kwargs(self, messages: list[dict], stream: bool = False) -> dict: + kwargs = { + "api_key": self.api_key, + "model": self.model, + "messages": messages, + "stream": stream, + "result_format": "message", + } + if self.config.temperature > 0: + # different model has default temperature. only set when it"s specified. + kwargs["temperature"] = self.config.temperature + if stream: + kwargs["incremental_output"] = True + return kwargs + + def _check_response(self, resp: GenerationResponse): + if resp.status_code != HTTPStatus.OK: + raise RuntimeError(f"code: {resp.code}, request_id: {resp.request_id}, message: {resp.message}") + + def get_choice_text(self, output: GenerationOutput) -> str: + return output.get("choices", [{}])[0].get("message", {}).get("content", "") + + def completion(self, messages: list[dict]) -> GenerationOutput: + resp: GenerationResponse = self.aclient.call(**self._const_kwargs(messages, stream=False)) + self._check_response(resp) + + self._update_costs(dict(resp.usage)) + return resp.output + + async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> GenerationOutput: + resp: GenerationResponse = await self.aclient.acall(**self._const_kwargs(messages, stream=False)) + self._check_response(resp) + self._update_costs(dict(resp.usage)) + return resp.output + + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> GenerationOutput: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) + + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: + resp = await self.aclient.acall(**self._const_kwargs(messages, stream=True)) + collected_content = [] + usage = {} + async for chunk in resp: + self._check_response(chunk) + content = chunk.output.choices[0]["message"]["content"] + usage = dict(chunk.usage) # each chunk has usage + log_llm_stream(content) + collected_content.append(content) + log_llm_stream("\n") + self._update_costs(usage) + full_content = "".join(collected_content) + return full_content diff --git a/metagpt/provider/fireworks_api.py b/metagpt/provider/fireworks_api.py deleted file mode 100644 index d56453a85..000000000 --- a/metagpt/provider/fireworks_api.py +++ /dev/null @@ -1,131 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : fireworks.ai's api - -import re - -from openai import APIConnectionError, AsyncStream -from openai.types import CompletionUsage -from openai.types.chat import ChatCompletionChunk -from tenacity import ( - after_log, - retry, - retry_if_exception_type, - stop_after_attempt, - wait_random_exponential, -) - -from metagpt.configs.llm_config import LLMConfig, LLMType -from metagpt.logs import logger -from metagpt.provider.llm_provider_registry import register_provider -from metagpt.provider.openai_api import OpenAILLM, log_and_reraise -from metagpt.utils.cost_manager import CostManager, Costs - -MODEL_GRADE_TOKEN_COSTS = { - "-1": {"prompt": 0.0, "completion": 0.0}, # abnormal condition - "16": {"prompt": 0.2, "completion": 0.8}, # 16 means model size <= 16B; 0.2 means $0.2/1M tokens - "80": {"prompt": 0.7, "completion": 2.8}, # 80 means 16B < model size <= 80B - "mixtral-8x7b": {"prompt": 0.4, "completion": 1.6}, -} - - -class FireworksCostManager(CostManager): - def model_grade_token_costs(self, model: str) -> dict[str, float]: - def _get_model_size(model: str) -> float: - size = re.findall(".*-([0-9.]+)b", model) - size = float(size[0]) if len(size) > 0 else -1 - return size - - if "mixtral-8x7b" in model: - token_costs = MODEL_GRADE_TOKEN_COSTS["mixtral-8x7b"] - else: - model_size = _get_model_size(model) - if 0 < model_size <= 16: - token_costs = MODEL_GRADE_TOKEN_COSTS["16"] - elif 16 < model_size <= 80: - token_costs = MODEL_GRADE_TOKEN_COSTS["80"] - else: - token_costs = MODEL_GRADE_TOKEN_COSTS["-1"] - return token_costs - - def update_cost(self, prompt_tokens: int, completion_tokens: int, model: str): - """ - Refs to `https://app.fireworks.ai/pricing` **Developer pricing** - Update the total cost, prompt tokens, and completion tokens. - - Args: - prompt_tokens (int): The number of tokens used in the prompt. - completion_tokens (int): The number of tokens used in the completion. - model (str): The model used for the API call. - """ - self.total_prompt_tokens += prompt_tokens - self.total_completion_tokens += completion_tokens - - token_costs = self.model_grade_token_costs(model) - cost = (prompt_tokens * token_costs["prompt"] + completion_tokens * token_costs["completion"]) / 1000000 - self.total_cost += cost - logger.info( - f"Total running cost: ${self.total_cost:.4f}" - f"Current cost: ${cost:.4f}, prompt_tokens: {prompt_tokens}, completion_tokens: {completion_tokens}" - ) - - -@register_provider(LLMType.FIREWORKS) -class FireworksLLM(OpenAILLM): - def __init__(self, config: LLMConfig): - super().__init__(config=config) - self.auto_max_tokens = False - self.cost_manager = FireworksCostManager() - - def _make_client_kwargs(self) -> dict: - kwargs = dict(api_key=self.config.api_key, base_url=self.config.base_url) - return kwargs - - def _update_costs(self, usage: CompletionUsage): - if self.config.calc_usage and usage: - try: - # use FireworksCostManager not context.cost_manager - self.cost_manager.update_cost(usage.prompt_tokens, usage.completion_tokens, self.model) - except Exception as e: - logger.error(f"updating costs failed!, exp: {e}") - - def get_costs(self) -> Costs: - return self.cost_manager.get_costs() - - async def _achat_completion_stream(self, messages: list[dict], timeout=3) -> str: - response: AsyncStream[ChatCompletionChunk] = await self.aclient.chat.completions.create( - **self._cons_kwargs(messages), stream=True - ) - - collected_content = [] - usage = CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0) - # iterate through the stream of events - async for chunk in response: - if chunk.choices: - choice = chunk.choices[0] - choice_delta = choice.delta - finish_reason = choice.finish_reason if hasattr(choice, "finish_reason") else None - if choice_delta.content: - collected_content.append(choice_delta.content) - print(choice_delta.content, end="") - if finish_reason: - # fireworks api return usage when finish_reason is not None - usage = CompletionUsage(**chunk.usage) - - full_content = "".join(collected_content) - self._update_costs(usage) - return full_content - - @retry( - wait=wait_random_exponential(min=1, max=60), - stop=stop_after_attempt(6), - after=after_log(logger, logger.level("WARNING").name), - retry=retry_if_exception_type(APIConnectionError), - retry_error_callback=log_and_reraise, - ) - async def acompletion_text(self, messages: list[dict], stream=False, timeout: int = 3) -> str: - """when streaming, print each token in place.""" - if stream: - return await self._achat_completion_stream(messages) - rsp = await self._achat_completion(messages) - return self.get_choice_text(rsp) diff --git a/metagpt/provider/general_api_base.py b/metagpt/provider/general_api_base.py index 1b9149396..8e5da8f16 100644 --- a/metagpt/provider/general_api_base.py +++ b/metagpt/provider/general_api_base.py @@ -573,7 +573,7 @@ class APIRequestor: total=request_timeout[1], ) else: - timeout = aiohttp.ClientTimeout(total=request_timeout if request_timeout else TIMEOUT_SECS) + timeout = aiohttp.ClientTimeout(total=request_timeout or TIMEOUT_SECS) if files: # TODO: Use `aiohttp.MultipartWriter` to create the multipart form data here. diff --git a/metagpt/provider/general_api_requestor.py b/metagpt/provider/general_api_requestor.py index 500cd1426..18f4dd909 100644 --- a/metagpt/provider/general_api_requestor.py +++ b/metagpt/provider/general_api_requestor.py @@ -60,7 +60,8 @@ class GeneralAPIRequestor(APIRequestor): self, result: requests.Response, stream: bool ) -> Tuple[Union[bytes, Iterator[Generator]], bytes]: """Returns the response(s) and a bool indicating whether it is a stream.""" - if stream and "text/event-stream" in result.headers.get("Content-Type", ""): + content_type = result.headers.get("Content-Type", "") + if stream and ("text/event-stream" in content_type or "application/x-ndjson" in content_type): return ( self._interpret_response_line(line, result.status_code, result.headers, stream=True) for line in parse_stream(result.iter_lines()) diff --git a/metagpt/provider/google_gemini_api.py b/metagpt/provider/google_gemini_api.py index 2647ab16b..4ff49befe 100644 --- a/metagpt/provider/google_gemini_api.py +++ b/metagpt/provider/google_gemini_api.py @@ -2,6 +2,7 @@ # -*- coding: utf-8 -*- # @Desc : Google Gemini LLM from https://ai.google.dev/tutorials/python_quickstart +import os from typing import Optional, Union import google.generativeai as genai @@ -13,19 +14,13 @@ from google.generativeai.types.generation_types import ( GenerateContentResponse, GenerationConfig, ) -from tenacity import ( - after_log, - retry, - retry_if_exception_type, - stop_after_attempt, - wait_random_exponential, -) from metagpt.configs.llm_config import LLMConfig, LLMType +from metagpt.const import USE_CONFIG_TIMEOUT from metagpt.logs import log_llm_stream, logger from metagpt.provider.base_llm import BaseLLM from metagpt.provider.llm_provider_registry import register_provider -from metagpt.provider.openai_api import log_and_reraise +from metagpt.schema import Message class GeminiGenerativeModel(GenerativeModel): @@ -55,9 +50,14 @@ class GeminiLLM(BaseLLM): self.__init_gemini(config) self.config = config self.model = "gemini-pro" # so far only one model + self.pricing_plan = self.config.pricing_plan or self.model self.llm = GeminiGenerativeModel(model_name=self.model) def __init_gemini(self, config: LLMConfig): + if config.proxy: + logger.info(f"Use proxy: {config.proxy}") + os.environ["http_proxy"] = config.proxy + os.environ["https_proxy"] = config.proxy genai.configure(api_key=config.api_key) def _user_msg(self, msg: str, images: Optional[Union[str, list[str]]] = None) -> dict[str, str]: @@ -68,20 +68,39 @@ class GeminiLLM(BaseLLM): def _assistant_msg(self, msg: str) -> dict[str, str]: return {"role": "model", "parts": [msg]} + def _system_msg(self, msg: str) -> dict[str, str]: + return {"role": "user", "parts": [msg]} + + def format_msg(self, messages: Union[str, Message, list[dict], list[Message], list[str]]) -> list[dict]: + """convert messages to list[dict].""" + from metagpt.schema import Message + + if not isinstance(messages, list): + messages = [messages] + + # REF: https://ai.google.dev/tutorials/python_quickstart + # As a dictionary, the message requires `role` and `parts` keys. + # The role in a conversation can either be the `user`, which provides the prompts, + # or `model`, which provides the responses. + processed_messages = [] + for msg in messages: + if isinstance(msg, str): + processed_messages.append({"role": "user", "parts": [msg]}) + elif isinstance(msg, dict): + assert set(msg.keys()) == set(["role", "parts"]) + processed_messages.append(msg) + elif isinstance(msg, Message): + processed_messages.append({"role": "user" if msg.role == "user" else "model", "parts": [msg.content]}) + else: + raise ValueError( + f"Only support message type are: str, Message, dict, but got {type(messages).__name__}!" + ) + return processed_messages + def _const_kwargs(self, messages: list[dict], stream: bool = False) -> dict: kwargs = {"contents": messages, "generation_config": GenerationConfig(temperature=0.3), "stream": stream} return kwargs - def _update_costs(self, usage: dict): - """update each request's token cost""" - if self.config.calc_usage: - try: - prompt_tokens = int(usage.get("prompt_tokens", 0)) - completion_tokens = int(usage.get("completion_tokens", 0)) - self.cost_manager.update_cost(prompt_tokens, completion_tokens, self.model) - except Exception as e: - logger.error(f"google gemini updats costs failed! exp: {e}") - def get_choice_text(self, resp: GenerateContentResponse) -> str: return resp.text @@ -105,16 +124,18 @@ class GeminiLLM(BaseLLM): self._update_costs(usage) return resp - async def _achat_completion(self, messages: list[dict]) -> "AsyncGenerateContentResponse": + async def _achat_completion( + self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT + ) -> "AsyncGenerateContentResponse": resp: AsyncGenerateContentResponse = await self.llm.generate_content_async(**self._const_kwargs(messages)) usage = await self.aget_usage(messages, resp.text) self._update_costs(usage) return resp - async def acompletion(self, messages: list[dict], timeout=3) -> dict: - return await self._achat_completion(messages) + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) - async def _achat_completion_stream(self, messages: list[dict]) -> str: + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: resp: AsyncGenerateContentResponse = await self.llm.generate_content_async( **self._const_kwargs(messages, stream=True) ) @@ -129,17 +150,3 @@ class GeminiLLM(BaseLLM): usage = await self.aget_usage(messages, full_content) self._update_costs(usage) return full_content - - @retry( - stop=stop_after_attempt(3), - wait=wait_random_exponential(min=1, max=60), - after=after_log(logger, logger.level("WARNING").name), - retry=retry_if_exception_type(ConnectionError), - retry_error_callback=log_and_reraise, - ) - async def acompletion_text(self, messages: list[dict], stream=False, timeout: int = 3) -> str: - """response in async with stream or non-stream mode""" - if stream: - return await self._achat_completion_stream(messages) - resp = await self._achat_completion(messages) - return self.get_choice_text(resp) diff --git a/metagpt/provider/human_provider.py b/metagpt/provider/human_provider.py index fe000b3a6..824acd345 100644 --- a/metagpt/provider/human_provider.py +++ b/metagpt/provider/human_provider.py @@ -6,6 +6,7 @@ Author: garylin2099 from typing import Optional from metagpt.configs.llm_config import LLMConfig +from metagpt.const import LLM_API_TIMEOUT, USE_CONFIG_TIMEOUT from metagpt.logs import logger from metagpt.provider.base_llm import BaseLLM @@ -18,7 +19,7 @@ class HumanProvider(BaseLLM): def __init__(self, config: LLMConfig): pass - def ask(self, msg: str, timeout=3) -> str: + def ask(self, msg: str, timeout=USE_CONFIG_TIMEOUT) -> str: logger.info("It's your turn, please type in your response. You may also refer to the context below") rsp = input(msg) if rsp in ["exit", "quit"]: @@ -31,14 +32,23 @@ class HumanProvider(BaseLLM): system_msgs: Optional[list[str]] = None, format_msgs: Optional[list[dict[str, str]]] = None, generator: bool = False, - timeout=3, + timeout=USE_CONFIG_TIMEOUT, ) -> str: - return self.ask(msg, timeout=timeout) + return self.ask(msg, timeout=self.get_timeout(timeout)) - async def acompletion(self, messages: list[dict], timeout=3): + async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT): + pass + + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT): """dummy implementation of abstract method in base""" return [] - async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str: + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: + pass + + async def acompletion_text(self, messages: list[dict], stream=False, timeout=USE_CONFIG_TIMEOUT) -> str: """dummy implementation of abstract method in base""" return "" + + def get_timeout(self, timeout: int) -> int: + return timeout or LLM_API_TIMEOUT diff --git a/metagpt/provider/llm_provider_registry.py b/metagpt/provider/llm_provider_registry.py index df89d36aa..4fd2b1978 100644 --- a/metagpt/provider/llm_provider_registry.py +++ b/metagpt/provider/llm_provider_registry.py @@ -21,11 +21,15 @@ class LLMProviderRegistry: return self.providers[enum] -def register_provider(key): +def register_provider(keys): """register provider to registry""" def decorator(cls): - LLM_REGISTRY.register(key, cls) + if isinstance(keys, list): + for key in keys: + LLM_REGISTRY.register(key, cls) + else: + LLM_REGISTRY.register(keys, cls) return cls return decorator diff --git a/metagpt/provider/metagpt_api.py b/metagpt/provider/metagpt_api.py index 4956746dc..d71fa9bda 100644 --- a/metagpt/provider/metagpt_api.py +++ b/metagpt/provider/metagpt_api.py @@ -5,6 +5,8 @@ @File : metagpt_api.py @Desc : MetaGPT LLM provider. """ +from openai.types import CompletionUsage + from metagpt.configs.llm_config import LLMType from metagpt.provider import OpenAILLM from metagpt.provider.llm_provider_registry import register_provider @@ -12,4 +14,7 @@ from metagpt.provider.llm_provider_registry import register_provider @register_provider(LLMType.METAGPT) class MetaGPTLLM(OpenAILLM): - pass + def _calc_usage(self, messages: list[dict], rsp: str) -> CompletionUsage: + # The current billing is based on usage frequency. If there is a future billing logic based on the + # number of tokens, please refine the logic here accordingly. + return CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0) diff --git a/metagpt/provider/ollama_api.py b/metagpt/provider/ollama_api.py index c9103b018..2913eb1dd 100644 --- a/metagpt/provider/ollama_api.py +++ b/metagpt/provider/ollama_api.py @@ -4,22 +4,12 @@ import json -from requests import ConnectionError -from tenacity import ( - after_log, - retry, - retry_if_exception_type, - stop_after_attempt, - wait_random_exponential, -) - from metagpt.configs.llm_config import LLMConfig, LLMType -from metagpt.const import LLM_API_TIMEOUT -from metagpt.logs import log_llm_stream, logger +from metagpt.const import USE_CONFIG_TIMEOUT +from metagpt.logs import log_llm_stream from metagpt.provider.base_llm import BaseLLM from metagpt.provider.general_api_requestor import GeneralAPIRequestor from metagpt.provider.llm_provider_registry import register_provider -from metagpt.provider.openai_api import log_and_reraise from metagpt.utils.cost_manager import TokenCostManager @@ -36,26 +26,17 @@ class OllamaLLM(BaseLLM): self.suffix_url = "/chat" self.http_method = "post" self.use_system_prompt = False - self._cost_manager = TokenCostManager() + self.cost_manager = TokenCostManager() def __init_ollama(self, config: LLMConfig): assert config.base_url, "ollama base url is required!" self.model = config.model + self.pricing_plan = self.model def _const_kwargs(self, messages: list[dict], stream: bool = False) -> dict: kwargs = {"model": self.model, "messages": messages, "options": {"temperature": 0.3}, "stream": stream} return kwargs - def _update_costs(self, usage: dict): - """update each request's token cost""" - if self.config.calc_usage: - try: - prompt_tokens = int(usage.get("prompt_tokens", 0)) - completion_tokens = int(usage.get("completion_tokens", 0)) - self._cost_manager.update_cost(prompt_tokens, completion_tokens, self.model) - except Exception as e: - logger.error(f"ollama updats costs failed! exp: {e}") - def get_choice_text(self, resp: dict) -> str: """get the resp content from llm response""" assist_msg = resp.get("message", {}) @@ -69,28 +50,28 @@ class OllamaLLM(BaseLLM): chunk = chunk.decode(encoding) return json.loads(chunk) - async def _achat_completion(self, messages: list[dict]) -> dict: + async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> dict: resp, _, _ = await self.client.arequest( method=self.http_method, url=self.suffix_url, params=self._const_kwargs(messages), - request_timeout=LLM_API_TIMEOUT, + request_timeout=self.get_timeout(timeout), ) resp = self._decode_and_load(resp) usage = self.get_usage(resp) self._update_costs(usage) return resp - async def acompletion(self, messages: list[dict], timeout=3) -> dict: - return await self._achat_completion(messages) + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) - async def _achat_completion_stream(self, messages: list[dict]) -> str: + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: stream_resp, _, _ = await self.client.arequest( method=self.http_method, url=self.suffix_url, stream=True, params=self._const_kwargs(messages, stream=True), - request_timeout=LLM_API_TIMEOUT, + request_timeout=self.get_timeout(timeout), ) collected_content = [] @@ -110,17 +91,3 @@ class OllamaLLM(BaseLLM): self._update_costs(usage) full_content = "".join(collected_content) return full_content - - @retry( - stop=stop_after_attempt(3), - wait=wait_random_exponential(min=1, max=60), - after=after_log(logger, logger.level("WARNING").name), - retry=retry_if_exception_type(ConnectionError), - retry_error_callback=log_and_reraise, - ) - async def acompletion_text(self, messages: list[dict], stream=False, timeout: int = 3) -> str: - """response in async with stream or non-stream mode""" - if stream: - return await self._achat_completion_stream(messages) - resp = await self._achat_completion(messages) - return self.get_choice_text(resp) diff --git a/metagpt/provider/open_llm_api.py b/metagpt/provider/open_llm_api.py deleted file mode 100644 index a29b263a4..000000000 --- a/metagpt/provider/open_llm_api.py +++ /dev/null @@ -1,47 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : self-host open llm model with openai-compatible interface - -from openai.types import CompletionUsage - -from metagpt.configs.llm_config import LLMConfig, LLMType -from metagpt.logs import logger -from metagpt.provider.llm_provider_registry import register_provider -from metagpt.provider.openai_api import OpenAILLM -from metagpt.utils.cost_manager import Costs, TokenCostManager -from metagpt.utils.token_counter import count_message_tokens, count_string_tokens - - -@register_provider(LLMType.OPEN_LLM) -class OpenLLM(OpenAILLM): - def __init__(self, config: LLMConfig): - super().__init__(config) - self._cost_manager = TokenCostManager() - - def _make_client_kwargs(self) -> dict: - kwargs = dict(api_key="sk-xxx", base_url=self.config.base_url) - return kwargs - - def _calc_usage(self, messages: list[dict], rsp: str) -> CompletionUsage: - usage = CompletionUsage(prompt_tokens=0, completion_tokens=0, total_tokens=0) - if not self.config.calc_usage: - return usage - - try: - usage.prompt_tokens = count_message_tokens(messages, "open-llm-model") - usage.completion_tokens = count_string_tokens(rsp, "open-llm-model") - except Exception as e: - logger.error(f"usage calculation failed!: {e}") - - return usage - - def _update_costs(self, usage: CompletionUsage): - if self.config.calc_usage and usage: - try: - # use OpenLLMCostManager not CONFIG.cost_manager - self._cost_manager.update_cost(usage.prompt_tokens, usage.completion_tokens, self.model) - except Exception as e: - logger.error(f"updating costs failed!, exp: {e}") - - def get_costs(self) -> Costs: - return self._cost_manager.get_costs() diff --git a/metagpt/provider/openai_api.py b/metagpt/provider/openai_api.py index 63e68c9bd..dbfed72df 100644 --- a/metagpt/provider/openai_api.py +++ b/metagpt/provider/openai_api.py @@ -6,9 +6,11 @@ @Modified By: mashenquan, 2023/11/21. Fix bug: ReadTimeout. @Modified By: mashenquan, 2023/12/1. Fix bug: Unclosed connection caused by openai 0.x. """ +from __future__ import annotations import json -from typing import AsyncIterator, Optional, Union +import re +from typing import Optional, Union from openai import APIConnectionError, AsyncOpenAI, AsyncStream from openai._base_client import AsyncHttpxClientWrapper @@ -23,13 +25,13 @@ from tenacity import ( ) from metagpt.configs.llm_config import LLMConfig, LLMType +from metagpt.const import USE_CONFIG_TIMEOUT from metagpt.logs import log_llm_stream, logger from metagpt.provider.base_llm import BaseLLM from metagpt.provider.constant import GENERAL_FUNCTION_SCHEMA from metagpt.provider.llm_provider_registry import register_provider -from metagpt.schema import Message -from metagpt.utils.common import CodeParser, decode_image -from metagpt.utils.cost_manager import CostManager, Costs +from metagpt.utils.common import CodeParser, decode_image, log_and_reraise +from metagpt.utils.cost_manager import CostManager from metagpt.utils.exceptions import handle_exception from metagpt.utils.token_counter import ( count_message_tokens, @@ -38,33 +40,20 @@ from metagpt.utils.token_counter import ( ) -def log_and_reraise(retry_state): - logger.error(f"Retry attempts exhausted. Last exception: {retry_state.outcome.exception()}") - logger.warning( - """ -Recommend going to https://deepwisdom.feishu.cn/wiki/MsGnwQBjiif9c3koSJNcYaoSnu4#part-XdatdVlhEojeAfxaaEZcMV3ZniQ -See FAQ 5.8 -""" - ) - raise retry_state.outcome.exception() - - -@register_provider(LLMType.OPENAI) +@register_provider([LLMType.OPENAI, LLMType.FIREWORKS, LLMType.OPEN_LLM, LLMType.MOONSHOT, LLMType.MISTRAL, LLMType.YI]) class OpenAILLM(BaseLLM): """Check https://platform.openai.com/examples for examples""" def __init__(self, config: LLMConfig): self.config = config - self._init_model() self._init_client() self.auto_max_tokens = False self.cost_manager: Optional[CostManager] = None - def _init_model(self): - self.model = self.config.model # Used in _calc_usage & _cons_kwargs - def _init_client(self): """https://github.com/openai/openai-python#async-usage""" + self.model = self.config.model # Used in _calc_usage & _cons_kwargs + self.pricing_plan = self.config.pricing_plan or self.model kwargs = self._make_client_kwargs() self.aclient = AsyncOpenAI(**kwargs) @@ -86,37 +75,58 @@ class OpenAILLM(BaseLLM): return params - async def _achat_completion_stream(self, messages: list[dict], timeout=3) -> AsyncIterator[str]: + async def _achat_completion_stream(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> str: response: AsyncStream[ChatCompletionChunk] = await self.aclient.chat.completions.create( - **self._cons_kwargs(messages, timeout=timeout), stream=True + **self._cons_kwargs(messages, timeout=self.get_timeout(timeout)), stream=True ) - + usage = None + collected_messages = [] async for chunk in response: chunk_message = chunk.choices[0].delta.content or "" if chunk.choices else "" # extract the message - yield chunk_message + finish_reason = ( + chunk.choices[0].finish_reason if chunk.choices and hasattr(chunk.choices[0], "finish_reason") else None + ) + log_llm_stream(chunk_message) + collected_messages.append(chunk_message) + if finish_reason: + if hasattr(chunk, "usage"): + # Some services have usage as an attribute of the chunk, such as Fireworks + usage = CompletionUsage(**chunk.usage) + elif hasattr(chunk.choices[0], "usage"): + # The usage of some services is an attribute of chunk.choices[0], such as Moonshot + usage = CompletionUsage(**chunk.choices[0].usage) - def _cons_kwargs(self, messages: list[dict], timeout=3, **extra_kwargs) -> dict: + log_llm_stream("\n") + full_reply_content = "".join(collected_messages) + if not usage: + # Some services do not provide the usage attribute, such as OpenAI or OpenLLM + usage = self._calc_usage(messages, full_reply_content) + + self._update_costs(usage) + return full_reply_content + + def _cons_kwargs(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT, **extra_kwargs) -> dict: kwargs = { "messages": messages, "max_tokens": self._get_max_tokens(messages), - "n": 1, + # "n": 1, # Some services do not provide this parameter, such as mistral # "stop": None, # default it's None and gpt4-v can't have this one - "temperature": 0.3, + "temperature": self.config.temperature, "model": self.model, - "timeout": max(self.config.timeout, timeout), + "timeout": self.get_timeout(timeout), } if extra_kwargs: kwargs.update(extra_kwargs) return kwargs - async def _achat_completion(self, messages: list[dict], timeout=3) -> ChatCompletion: - kwargs = self._cons_kwargs(messages, timeout=timeout) + async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> ChatCompletion: + kwargs = self._cons_kwargs(messages, timeout=self.get_timeout(timeout)) rsp: ChatCompletion = await self.aclient.chat.completions.create(**kwargs) self._update_costs(rsp.usage) return rsp - async def acompletion(self, messages: list[dict], timeout=3) -> ChatCompletion: - return await self._achat_completion(messages, timeout=timeout) + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> ChatCompletion: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) @retry( wait=wait_random_exponential(min=1, max=60), @@ -125,63 +135,24 @@ class OpenAILLM(BaseLLM): retry=retry_if_exception_type(APIConnectionError), retry_error_callback=log_and_reraise, ) - async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str: + async def acompletion_text(self, messages: list[dict], stream=False, timeout=USE_CONFIG_TIMEOUT) -> str: """when streaming, print each token in place.""" if stream: - resp = self._achat_completion_stream(messages, timeout=timeout) + return await self._achat_completion_stream(messages, timeout=timeout) - collected_messages = [] - async for i in resp: - log_llm_stream(i) - collected_messages.append(i) - log_llm_stream("\n") - - full_reply_content = "".join(collected_messages) - usage = self._calc_usage(messages, full_reply_content) - self._update_costs(usage) - return full_reply_content - - rsp = await self._achat_completion(messages, timeout=timeout) + rsp = await self._achat_completion(messages, timeout=self.get_timeout(timeout)) return self.get_choice_text(rsp) - def _func_configs(self, messages: list[dict], timeout=3, **kwargs) -> dict: - """Note: Keep kwargs consistent with https://platform.openai.com/docs/api-reference/chat/create""" - if "tools" not in kwargs: - configs = {"tools": [{"type": "function", "function": GENERAL_FUNCTION_SCHEMA}]} - kwargs.update(configs) - - return self._cons_kwargs(messages=messages, timeout=timeout, **kwargs) - - def _process_message(self, messages: Union[str, Message, list[dict], list[Message], list[str]]) -> list[dict]: - """convert messages to list[dict].""" - # 全部转成list - if not isinstance(messages, list): - messages = [messages] - - # 转成list[dict] - processed_messages = [] - for msg in messages: - if isinstance(msg, str): - processed_messages.append({"role": "user", "content": msg}) - elif isinstance(msg, dict): - assert set(msg.keys()) == set(["role", "content"]) - processed_messages.append(msg) - elif isinstance(msg, Message): - processed_messages.append(msg.to_dict()) - else: - raise ValueError( - f"Only support message type are: str, Message, dict, but got {type(messages).__name__}!" - ) - return processed_messages - - async def _achat_completion_function(self, messages: list[dict], timeout=3, **chat_configs) -> ChatCompletion: - messages = self._process_message(messages) - kwargs = self._func_configs(messages=messages, timeout=timeout, **chat_configs) + async def _achat_completion_function( + self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT, **chat_configs + ) -> ChatCompletion: + messages = self.format_msg(messages) + kwargs = self._cons_kwargs(messages=messages, timeout=self.get_timeout(timeout), **chat_configs) rsp: ChatCompletion = await self.aclient.chat.completions.create(**kwargs) self._update_costs(rsp.usage) return rsp - async def aask_code(self, messages: list[dict], **kwargs) -> dict: + async def aask_code(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT, **kwargs) -> dict: """Use function of tools to ask a code. Note: Keep kwargs consistent with https://platform.openai.com/docs/api-reference/chat/create @@ -191,9 +162,36 @@ class OpenAILLM(BaseLLM): >>> rsp = await llm.aask_code(msg) # -> {'language': 'python', 'code': "print('Hello, World!')"} """ + if "tools" not in kwargs: + configs = {"tools": [{"type": "function", "function": GENERAL_FUNCTION_SCHEMA}]} + kwargs.update(configs) rsp = await self._achat_completion_function(messages, **kwargs) return self.get_choice_function_arguments(rsp) + def _parse_arguments(self, arguments: str) -> dict: + """parse arguments in openai function call""" + if "language" not in arguments and "code" not in arguments: + logger.warning(f"Not found `code`, `language`, We assume it is pure code:\n {arguments}\n. ") + return {"language": "python", "code": arguments} + + # 匹配language + language_pattern = re.compile(r'[\"\']?language[\"\']?\s*:\s*["\']([^"\']+?)["\']', re.DOTALL) + language_match = language_pattern.search(arguments) + language_value = language_match.group(1) if language_match else "python" + + # 匹配code + code_pattern = r'(["\'`]{3}|["\'`])([\s\S]*?)\1' + try: + code_value = re.findall(code_pattern, arguments)[-1][-1] + except Exception as e: + logger.error(f"{e}, when re.findall({code_pattern}, {arguments})") + code_value = None + + if code_value is None: + raise ValueError(f"Parse code error for {arguments}") + # arguments只有code的情况 + return {"language": language_value, "code": code_value} + # @handle_exception def get_choice_function_arguments(self, rsp: ChatCompletion) -> dict: """Required to provide the first function arguments of choice. @@ -209,7 +207,14 @@ class OpenAILLM(BaseLLM): and message.tool_calls[0].function.arguments is not None ): # reponse is code - return json.loads(message.tool_calls[0].function.arguments, strict=False) + try: + return json.loads(message.tool_calls[0].function.arguments, strict=False) + except json.decoder.JSONDecodeError as e: + error_msg = ( + f"Got JSONDecodeError for \n{'--'*40} \n{message.tool_calls[0].function.arguments}, {str(e)}" + ) + logger.error(error_msg) + return self._parse_arguments(message.tool_calls[0].function.arguments) elif message.tool_calls is None and message.content is not None: # reponse is code, fix openai tools_call respond bug, # The response content is `code``, but it appears in the content instead of the arguments. @@ -233,27 +238,19 @@ class OpenAILLM(BaseLLM): return usage try: - usage.prompt_tokens = count_message_tokens(messages, self.model) - usage.completion_tokens = count_string_tokens(rsp, self.model) + usage.prompt_tokens = count_message_tokens(messages, self.pricing_plan) + usage.completion_tokens = count_string_tokens(rsp, self.pricing_plan) except Exception as e: - logger.error(f"usage calculation failed: {e}") + logger.warning(f"usage calculation failed: {e}") return usage - @handle_exception - def _update_costs(self, usage: CompletionUsage): - if self.config.calc_usage and usage and self.cost_manager: - self.cost_manager.update_cost(usage.prompt_tokens, usage.completion_tokens, self.model) - - def get_costs(self) -> Costs: - if not self.cost_manager: - return Costs(0, 0, 0, 0) - return self.cost_manager.get_costs() - def _get_max_tokens(self, messages: list[dict]): if not self.auto_max_tokens: return self.config.max_token - return get_max_completion_tokens(messages, self.model, self.config.max_tokens) + # FIXME + # https://community.openai.com/t/why-is-gpt-3-5-turbo-1106-max-tokens-limited-to-4096/494973/3 + return min(get_max_completion_tokens(messages, self.model, self.config.max_token), 4096) @handle_exception async def amoderation(self, content: Union[str, list[str]]): diff --git a/metagpt/provider/qianfan_api.py b/metagpt/provider/qianfan_api.py new file mode 100644 index 000000000..3d78c8bfc --- /dev/null +++ b/metagpt/provider/qianfan_api.py @@ -0,0 +1,132 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : llm api of qianfan from Baidu, supports ERNIE(wen xin yi yan) and opensource models +import copy +import os + +import qianfan +from qianfan import ChatCompletion +from qianfan.resources.typing import JsonBody + +from metagpt.configs.llm_config import LLMConfig, LLMType +from metagpt.const import USE_CONFIG_TIMEOUT +from metagpt.logs import log_llm_stream +from metagpt.provider.base_llm import BaseLLM +from metagpt.provider.llm_provider_registry import register_provider +from metagpt.utils.cost_manager import CostManager +from metagpt.utils.token_counter import ( + QIANFAN_ENDPOINT_TOKEN_COSTS, + QIANFAN_MODEL_TOKEN_COSTS, +) + + +@register_provider(LLMType.QIANFAN) +class QianFanLLM(BaseLLM): + """ + Refs + Auth: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/3lmokh7n6#%E3%80%90%E6%8E%A8%E8%8D%90%E3%80%91%E4%BD%BF%E7%94%A8%E5%AE%89%E5%85%A8%E8%AE%A4%E8%AF%81aksk%E9%89%B4%E6%9D%83%E8%B0%83%E7%94%A8%E6%B5%81%E7%A8%8B + Token Price: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/hlrk4akp7#tokens%E5%90%8E%E4%BB%98%E8%B4%B9 + Models: https://cloud.baidu.com/doc/WENXINWORKSHOP/s/wlmhm7vuo#%E5%AF%B9%E8%AF%9Dchat + https://cloud.baidu.com/doc/WENXINWORKSHOP/s/xlmokikxe#%E6%94%AF%E6%8C%81%E6%A8%A1%E5%9E%8B%E5%88%97%E8%A1%A8 + """ + + def __init__(self, config: LLMConfig): + self.config = config + self.use_system_prompt = False # only some ERNIE-x related models support system_prompt + self.__init_qianfan() + self.cost_manager = CostManager(token_costs=self.token_costs) + + def __init_qianfan(self): + if self.config.access_key and self.config.secret_key: + # for system level auth, use access_key and secret_key, recommended by official + # set environment variable due to official recommendation + os.environ.setdefault("QIANFAN_ACCESS_KEY", self.config.access_key) + os.environ.setdefault("QIANFAN_SECRET_KEY", self.config.secret_key) + elif self.config.api_key and self.config.secret_key: + # for application level auth, use api_key and secret_key + # set environment variable due to official recommendation + os.environ.setdefault("QIANFAN_AK", self.config.api_key) + os.environ.setdefault("QIANFAN_SK", self.config.secret_key) + else: + raise ValueError("Set the `access_key`&`secret_key` or `api_key`&`secret_key` first") + + support_system_pairs = [ + ("ERNIE-Bot-4", "completions_pro"), # (model, corresponding-endpoint) + ("ERNIE-Bot-8k", "ernie_bot_8k"), + ("ERNIE-Bot", "completions"), + ("ERNIE-Bot-turbo", "eb-instant"), + ("ERNIE-Speed", "ernie_speed"), + ("EB-turbo-AppBuilder", "ai_apaas"), + ] + if self.config.model in [pair[0] for pair in support_system_pairs]: + # only some ERNIE models support + self.use_system_prompt = True + if self.config.endpoint in [pair[1] for pair in support_system_pairs]: + self.use_system_prompt = True + + assert not (self.config.model and self.config.endpoint), "Only set `model` or `endpoint` in the config" + assert self.config.model or self.config.endpoint, "Should set one of `model` or `endpoint` in the config" + + self.token_costs = copy.deepcopy(QIANFAN_MODEL_TOKEN_COSTS) + self.token_costs.update(QIANFAN_ENDPOINT_TOKEN_COSTS) + + # self deployed model on the cloud not to calculate usage, it charges resource pool rental fee + self.calc_usage = self.config.calc_usage and self.config.endpoint is None + self.aclient: ChatCompletion = qianfan.ChatCompletion() + + def _const_kwargs(self, messages: list[dict], stream: bool = False) -> dict: + kwargs = { + "messages": messages, + "stream": stream, + } + if self.config.temperature > 0: + # different model has default temperature. only set when it's specified. + kwargs["temperature"] = self.config.temperature + if self.config.endpoint: + kwargs["endpoint"] = self.config.endpoint + elif self.config.model: + kwargs["model"] = self.config.model + + if self.use_system_prompt: + # if the model support system prompt, extract and pass it + if messages[0]["role"] == "system": + kwargs["messages"] = messages[1:] + kwargs["system"] = messages[0]["content"] # set system prompt here + return kwargs + + def _update_costs(self, usage: dict): + """update each request's token cost""" + model_or_endpoint = self.config.model or self.config.endpoint + local_calc_usage = model_or_endpoint in self.token_costs + super()._update_costs(usage, model_or_endpoint, local_calc_usage) + + def get_choice_text(self, resp: JsonBody) -> str: + return resp.get("result", "") + + def completion(self, messages: list[dict]) -> JsonBody: + resp = self.aclient.do(**self._const_kwargs(messages=messages, stream=False)) + self._update_costs(resp.body.get("usage", {})) + return resp.body + + async def _achat_completion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> JsonBody: + resp = await self.aclient.ado(**self._const_kwargs(messages=messages, stream=False)) + self._update_costs(resp.body.get("usage", {})) + return resp.body + + async def acompletion(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> JsonBody: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) + + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: + resp = await self.aclient.ado(**self._const_kwargs(messages=messages, stream=True)) + collected_content = [] + usage = {} + async for chunk in resp: + content = chunk.body.get("result", "") + usage = chunk.body.get("usage", {}) + log_llm_stream(content) + collected_content.append(content) + log_llm_stream("\n") + + self._update_costs(usage) + full_content = "".join(collected_content) + return full_content diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py index 5e89c26d5..594267259 100644 --- a/metagpt/provider/spark_api.py +++ b/metagpt/provider/spark_api.py @@ -17,6 +17,7 @@ from wsgiref.handlers import format_date_time import websocket # 使用websocket_client from metagpt.configs.llm_config import LLMConfig, LLMType +from metagpt.const import USE_CONFIG_TIMEOUT from metagpt.logs import logger from metagpt.provider.base_llm import BaseLLM from metagpt.provider.llm_provider_registry import register_provider @@ -31,13 +32,19 @@ class SparkLLM(BaseLLM): def get_choice_text(self, rsp: dict) -> str: return rsp["payload"]["choices"]["text"][-1]["content"] - async def acompletion_text(self, messages: list[dict], stream=False, timeout: int = 3) -> str: + async def _achat_completion_stream(self, messages: list[dict], timeout: int = USE_CONFIG_TIMEOUT) -> str: + pass + + async def acompletion_text(self, messages: list[dict], stream=False, timeout: int = USE_CONFIG_TIMEOUT) -> str: # 不支持 # logger.warning("当前方法无法支持异步运行。当你使用acompletion时，并不能并行访问。") w = GetMessageFromWeb(messages, self.config) return w.run() - async def acompletion(self, messages: list[dict], timeout=3): + async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT): + pass + + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT): # 不支持异步 w = GetMessageFromWeb(messages, self.config) return w.run() diff --git a/metagpt/provider/zhipuai_api.py b/metagpt/provider/zhipuai_api.py index 9108a1fba..2db441991 100644 --- a/metagpt/provider/zhipuai_api.py +++ b/metagpt/provider/zhipuai_api.py @@ -3,24 +3,17 @@ # @Desc : zhipuai LLM from https://open.bigmodel.cn/dev/api#sdk from enum import Enum +from typing import Optional -import openai -import zhipuai -from requests import ConnectionError -from tenacity import ( - after_log, - retry, - retry_if_exception_type, - stop_after_attempt, - wait_random_exponential, -) +from zhipuai.types.chat.chat_completion import Completion from metagpt.configs.llm_config import LLMConfig, LLMType -from metagpt.logs import log_llm_stream, logger +from metagpt.const import USE_CONFIG_TIMEOUT +from metagpt.logs import log_llm_stream from metagpt.provider.base_llm import BaseLLM from metagpt.provider.llm_provider_registry import register_provider -from metagpt.provider.openai_api import log_and_reraise from metagpt.provider.zhipuai.zhipu_model_api import ZhiPuModelAPI +from metagpt.utils.cost_manager import CostManager class ZhiPuEvent(Enum): @@ -38,51 +31,37 @@ class ZhiPuAILLM(BaseLLM): """ def __init__(self, config: LLMConfig): - self.__init_zhipuai(config) - self.llm = ZhiPuModelAPI - self.model = "chatglm_turbo" # so far only one model, just use it - self.use_system_prompt: bool = False # zhipuai has no system prompt when use api self.config = config + self.__init_zhipuai() + self.cost_manager: Optional[CostManager] = None - def __init_zhipuai(self, config: LLMConfig): - assert config.api_key - zhipuai.api_key = config.api_key - # due to use openai sdk, set the api_key but it will't be used. - # openai.api_key = zhipuai.api_key # due to use openai sdk, set the api_key but it will't be used. - if config.proxy: - # FIXME: openai v1.x sdk has no proxy support - openai.proxy = config.proxy + def __init_zhipuai(self): + assert self.config.api_key + self.api_key = self.config.api_key + self.model = self.config.model # so far, it support glm-3-turbo、glm-4 + self.pricing_plan = self.config.pricing_plan or self.model + self.llm = ZhiPuModelAPI(api_key=self.api_key) def _const_kwargs(self, messages: list[dict], stream: bool = False) -> dict: kwargs = {"model": self.model, "messages": messages, "stream": stream, "temperature": 0.3} return kwargs - def _update_costs(self, usage: dict): - """update each request's token cost""" - if self.config.calc_usage: - try: - prompt_tokens = int(usage.get("prompt_tokens", 0)) - completion_tokens = int(usage.get("completion_tokens", 0)) - self.config.cost_manager.update_cost(prompt_tokens, completion_tokens, self.model) - except Exception as e: - logger.error(f"zhipuai updats costs failed! exp: {e}") - - def completion(self, messages: list[dict], timeout=3) -> dict: - resp = self.llm.chat.completions.create(**self._const_kwargs(messages)) + def completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict: + resp: Completion = self.llm.chat.completions.create(**self._const_kwargs(messages)) usage = resp.usage.model_dump() self._update_costs(usage) return resp.model_dump() - async def _achat_completion(self, messages: list[dict], timeout=3) -> dict: + async def _achat_completion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict: resp = await self.llm.acreate(**self._const_kwargs(messages)) usage = resp.get("usage", {}) self._update_costs(usage) return resp - async def acompletion(self, messages: list[dict], timeout=3) -> dict: - return await self._achat_completion(messages, timeout=timeout) + async def acompletion(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> dict: + return await self._achat_completion(messages, timeout=self.get_timeout(timeout)) - async def _achat_completion_stream(self, messages: list[dict], timeout=3) -> str: + async def _achat_completion_stream(self, messages: list[dict], timeout=USE_CONFIG_TIMEOUT) -> str: response = await self.llm.acreate_stream(**self._const_kwargs(messages, stream=True)) collected_content = [] usage = {} @@ -100,17 +79,3 @@ class ZhiPuAILLM(BaseLLM): self._update_costs(usage) full_content = "".join(collected_content) return full_content - - @retry( - stop=stop_after_attempt(3), - wait=wait_random_exponential(min=1, max=60), - after=after_log(logger, logger.level("WARNING").name), - retry=retry_if_exception_type(ConnectionError), - retry_error_callback=log_and_reraise, - ) - async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str: - """response in async with stream or non-stream mode""" - if stream: - return await self._achat_completion_stream(messages) - resp = await self._achat_completion(messages) - return self.get_choice_text(resp) diff --git a/metagpt/rag/__init__.py b/metagpt/rag/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/metagpt/rag/engines/__init__.py b/metagpt/rag/engines/__init__.py new file mode 100644 index 000000000..373181384 --- /dev/null +++ b/metagpt/rag/engines/__init__.py @@ -0,0 +1,5 @@ +"""Engines init""" + +from metagpt.rag.engines.simple import SimpleEngine + +__all__ = ["SimpleEngine"] diff --git a/metagpt/rag/engines/simple.py b/metagpt/rag/engines/simple.py new file mode 100644 index 000000000..02f9ca7b1 --- /dev/null +++ b/metagpt/rag/engines/simple.py @@ -0,0 +1,259 @@ +"""Simple Engine.""" + +import json +import os +from typing import Any, Optional, Union + +from llama_index.core import SimpleDirectoryReader, VectorStoreIndex +from llama_index.core.callbacks.base import CallbackManager +from llama_index.core.embeddings import BaseEmbedding +from llama_index.core.embeddings.mock_embed_model import MockEmbedding +from llama_index.core.indices.base import BaseIndex +from llama_index.core.ingestion.pipeline import run_transformations +from llama_index.core.llms import LLM +from llama_index.core.node_parser import SentenceSplitter +from llama_index.core.postprocessor.types import BaseNodePostprocessor +from llama_index.core.query_engine import RetrieverQueryEngine +from llama_index.core.response_synthesizers import ( + BaseSynthesizer, + get_response_synthesizer, +) +from llama_index.core.retrievers import BaseRetriever +from llama_index.core.schema import ( + BaseNode, + Document, + NodeWithScore, + QueryBundle, + QueryType, + TransformComponent, +) + +from metagpt.rag.factories import ( + get_index, + get_rag_embedding, + get_rag_llm, + get_rankers, + get_retriever, +) +from metagpt.rag.interface import NoEmbedding, RAGObject +from metagpt.rag.retrievers.base import ModifiableRAGRetriever, PersistableRAGRetriever +from metagpt.rag.retrievers.hybrid_retriever import SimpleHybridRetriever +from metagpt.rag.schema import ( + BaseIndexConfig, + BaseRankerConfig, + BaseRetrieverConfig, + BM25RetrieverConfig, + ObjectNode, +) +from metagpt.utils.common import import_class + + +class SimpleEngine(RetrieverQueryEngine): + """SimpleEngine is designed to be simple and straightforward. + + It is a lightweight and easy-to-use search engine that integrates + document reading, embedding, indexing, retrieving, and ranking functionalities + into a single, straightforward workflow. It is designed to quickly set up a + search engine from a collection of documents. + """ + + def __init__( + self, + retriever: BaseRetriever, + response_synthesizer: Optional[BaseSynthesizer] = None, + node_postprocessors: Optional[list[BaseNodePostprocessor]] = None, + callback_manager: Optional[CallbackManager] = None, + index: Optional[BaseIndex] = None, + ) -> None: + super().__init__( + retriever=retriever, + response_synthesizer=response_synthesizer, + node_postprocessors=node_postprocessors, + callback_manager=callback_manager, + ) + self.index = index + + @classmethod + def from_docs( + cls, + input_dir: str = None, + input_files: list[str] = None, + transformations: Optional[list[TransformComponent]] = None, + embed_model: BaseEmbedding = None, + llm: LLM = None, + retriever_configs: list[BaseRetrieverConfig] = None, + ranker_configs: list[BaseRankerConfig] = None, + ) -> "SimpleEngine": + """From docs. + + Must provide either `input_dir` or `input_files`. + + Args: + input_dir: Path to the directory. + input_files: List of file paths to read (Optional; overrides input_dir, exclude). + transformations: Parse documents to nodes. Default [SentenceSplitter]. + embed_model: Parse nodes to embedding. Must supported by llama index. Default OpenAIEmbedding. + llm: Must supported by llama index. Default OpenAI. + retriever_configs: Configuration for retrievers. If more than one config, will use SimpleHybridRetriever. + ranker_configs: Configuration for rankers. + """ + if not input_dir and not input_files: + raise ValueError("Must provide either `input_dir` or `input_files`.") + + documents = SimpleDirectoryReader(input_dir=input_dir, input_files=input_files).load_data() + cls._fix_document_metadata(documents) + + index = VectorStoreIndex.from_documents( + documents=documents, + transformations=transformations or [SentenceSplitter()], + embed_model=cls._resolve_embed_model(embed_model, retriever_configs), + ) + return cls._from_index(index, llm=llm, retriever_configs=retriever_configs, ranker_configs=ranker_configs) + + @classmethod + def from_objs( + cls, + objs: Optional[list[RAGObject]] = None, + transformations: Optional[list[TransformComponent]] = None, + embed_model: BaseEmbedding = None, + llm: LLM = None, + retriever_configs: list[BaseRetrieverConfig] = None, + ranker_configs: list[BaseRankerConfig] = None, + ) -> "SimpleEngine": + """From objs. + + Args: + objs: List of RAGObject. + transformations: Parse documents to nodes. Default [SentenceSplitter]. + embed_model: Parse nodes to embedding. Must supported by llama index. Default OpenAIEmbedding. + llm: Must supported by llama index. Default OpenAI. + retriever_configs: Configuration for retrievers. If more than one config, will use SimpleHybridRetriever. + ranker_configs: Configuration for rankers. + """ + if not objs and any(isinstance(config, BM25RetrieverConfig) for config in retriever_configs): + raise ValueError("In BM25RetrieverConfig, Objs must not be empty.") + + objs = objs or [] + nodes = [ObjectNode(text=obj.rag_key(), metadata=ObjectNode.get_obj_metadata(obj)) for obj in objs] + index = VectorStoreIndex( + nodes=nodes, + transformations=transformations or [SentenceSplitter()], + embed_model=cls._resolve_embed_model(embed_model, retriever_configs), + ) + return cls._from_index(index, llm=llm, retriever_configs=retriever_configs, ranker_configs=ranker_configs) + + @classmethod + def from_index( + cls, + index_config: BaseIndexConfig, + embed_model: BaseEmbedding = None, + llm: LLM = None, + retriever_configs: list[BaseRetrieverConfig] = None, + ranker_configs: list[BaseRankerConfig] = None, + ) -> "SimpleEngine": + """Load from previously maintained index by self.persist(), index_config contains persis_path.""" + index = get_index(index_config, embed_model=cls._resolve_embed_model(embed_model, [index_config])) + return cls._from_index(index, llm=llm, retriever_configs=retriever_configs, ranker_configs=ranker_configs) + + async def asearch(self, content: str, **kwargs) -> str: + """Inplement tools.SearchInterface""" + return await self.aquery(content) + + async def aretrieve(self, query: QueryType) -> list[NodeWithScore]: + """Allow query to be str.""" + query_bundle = QueryBundle(query) if isinstance(query, str) else query + + nodes = await super().aretrieve(query_bundle) + self._try_reconstruct_obj(nodes) + return nodes + + def add_docs(self, input_files: list[str]): + """Add docs to retriever. retriever must has add_nodes func.""" + self._ensure_retriever_modifiable() + + documents = SimpleDirectoryReader(input_files=input_files).load_data() + self._fix_document_metadata(documents) + + nodes = run_transformations(documents, transformations=self.index._transformations) + self._save_nodes(nodes) + + def add_objs(self, objs: list[RAGObject]): + """Adds objects to the retriever, storing each object's original form in metadata for future reference.""" + self._ensure_retriever_modifiable() + + nodes = [ObjectNode(text=obj.rag_key(), metadata=ObjectNode.get_obj_metadata(obj)) for obj in objs] + self._save_nodes(nodes) + + def persist(self, persist_dir: Union[str, os.PathLike], **kwargs): + """Persist.""" + self._ensure_retriever_persistable() + + self._persist(str(persist_dir), **kwargs) + + @classmethod + def _from_index( + cls, + index: BaseIndex, + llm: LLM = None, + retriever_configs: list[BaseRetrieverConfig] = None, + ranker_configs: list[BaseRankerConfig] = None, + ) -> "SimpleEngine": + llm = llm or get_rag_llm() + retriever = get_retriever(configs=retriever_configs, index=index) # Default index.as_retriever + rankers = get_rankers(configs=ranker_configs, llm=llm) # Default [] + + return cls( + retriever=retriever, + node_postprocessors=rankers, + response_synthesizer=get_response_synthesizer(llm=llm), + index=index, + ) + + def _ensure_retriever_modifiable(self): + self._ensure_retriever_of_type(ModifiableRAGRetriever) + + def _ensure_retriever_persistable(self): + self._ensure_retriever_of_type(PersistableRAGRetriever) + + def _ensure_retriever_of_type(self, required_type: BaseRetriever): + """Ensure that self.retriever is required_type, or at least one of its components, if it's a SimpleHybridRetriever. + + Args: + required_type: The class that the retriever is expected to be an instance of. + """ + if isinstance(self.retriever, SimpleHybridRetriever): + if not any(isinstance(r, required_type) for r in self.retriever.retrievers): + raise TypeError( + f"Must have at least one retriever of type {required_type.__name__} in SimpleHybridRetriever" + ) + + if not isinstance(self.retriever, required_type): + raise TypeError(f"The retriever is not of type {required_type.__name__}: {type(self.retriever)}") + + def _save_nodes(self, nodes: list[BaseNode]): + self.retriever.add_nodes(nodes) + + def _persist(self, persist_dir: str, **kwargs): + self.retriever.persist(persist_dir, **kwargs) + + @staticmethod + def _try_reconstruct_obj(nodes: list[NodeWithScore]): + """If node is object, then dynamically reconstruct object, and save object to node.metadata["obj"].""" + for node in nodes: + if node.metadata.get("is_obj", False): + obj_cls = import_class(node.metadata["obj_cls_name"], node.metadata["obj_mod_name"]) + obj_dict = json.loads(node.metadata["obj_json"]) + node.metadata["obj"] = obj_cls(**obj_dict) + + @staticmethod + def _fix_document_metadata(documents: list[Document]): + """LlamaIndex keep metadata['file_path'], which is unnecessary, maybe deleted in the near future.""" + for doc in documents: + doc.excluded_embed_metadata_keys.append("file_path") + + @staticmethod + def _resolve_embed_model(embed_model: BaseEmbedding = None, configs: list[Any] = None) -> BaseEmbedding: + if configs and all(isinstance(c, NoEmbedding) for c in configs): + return MockEmbedding(embed_dim=1) + + return embed_model or get_rag_embedding() diff --git a/metagpt/rag/factories/__init__.py b/metagpt/rag/factories/__init__.py new file mode 100644 index 000000000..caa35405f --- /dev/null +++ b/metagpt/rag/factories/__init__.py @@ -0,0 +1,9 @@ +"""RAG factories""" + +from metagpt.rag.factories.retriever import get_retriever +from metagpt.rag.factories.ranker import get_rankers +from metagpt.rag.factories.embedding import get_rag_embedding +from metagpt.rag.factories.index import get_index +from metagpt.rag.factories.llm import get_rag_llm + +__all__ = ["get_retriever", "get_rankers", "get_rag_embedding", "get_index", "get_rag_llm"] diff --git a/metagpt/rag/factories/base.py b/metagpt/rag/factories/base.py new file mode 100644 index 000000000..8f8155914 --- /dev/null +++ b/metagpt/rag/factories/base.py @@ -0,0 +1,59 @@ +"""Base Factory.""" + +from typing import Any, Callable + + +class GenericFactory: + """Designed to get objects based on any keys.""" + + def __init__(self, creators: dict[Any, Callable] = None): + """Creators is a dictionary. + + Keys are identifiers, and the values are the associated creator function, which create objects. + """ + self._creators = creators or {} + + def get_instances(self, keys: list[Any], **kwargs) -> list[Any]: + """Get instances by keys.""" + return [self.get_instance(key, **kwargs) for key in keys] + + def get_instance(self, key: Any, **kwargs) -> Any: + """Get instance by key. + + Raise Exception if key not found. + """ + creator = self._creators.get(key) + if creator: + return creator(**kwargs) + + raise ValueError(f"Creator not registered for key: {key}") + + +class ConfigBasedFactory(GenericFactory): + """Designed to get objects based on object type.""" + + def get_instance(self, key: Any, **kwargs) -> Any: + """Key is config, such as a pydantic model. + + Call func by the type of key, and the key will be passed to func. + """ + creator = self._creators.get(type(key)) + if creator: + return creator(key, **kwargs) + + raise ValueError(f"Unknown config: {key}") + + @staticmethod + def _val_from_config_or_kwargs(key: str, config: object = None, **kwargs) -> Any: + """It prioritizes the configuration object's value unless it is None, in which case it looks into kwargs.""" + if config is not None and hasattr(config, key): + val = getattr(config, key) + if val is not None: + return val + + if key in kwargs: + return kwargs[key] + + raise KeyError( + f"The key '{key}' is required but not provided in either configuration object or keyword arguments." + ) diff --git a/metagpt/rag/factories/embedding.py b/metagpt/rag/factories/embedding.py new file mode 100644 index 000000000..4247db256 --- /dev/null +++ b/metagpt/rag/factories/embedding.py @@ -0,0 +1,37 @@ +"""RAG Embedding Factory.""" + +from llama_index.core.embeddings import BaseEmbedding +from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding +from llama_index.embeddings.openai import OpenAIEmbedding + +from metagpt.config2 import config +from metagpt.configs.llm_config import LLMType +from metagpt.rag.factories.base import GenericFactory + + +class RAGEmbeddingFactory(GenericFactory): + """Create LlamaIndex Embedding with MetaGPT's config.""" + + def __init__(self): + creators = { + LLMType.OPENAI: self._create_openai, + LLMType.AZURE: self._create_azure, + } + super().__init__(creators) + + def get_rag_embedding(self, key: LLMType = None) -> BaseEmbedding: + """Key is LLMType, default use config.llm.api_type.""" + return super().get_instance(key or config.llm.api_type) + + def _create_openai(self): + return OpenAIEmbedding(api_key=config.llm.api_key, api_base=config.llm.base_url) + + def _create_azure(self): + return AzureOpenAIEmbedding( + azure_endpoint=config.llm.base_url, + api_key=config.llm.api_key, + api_version=config.llm.api_version, + ) + + +get_rag_embedding = RAGEmbeddingFactory().get_rag_embedding diff --git a/metagpt/rag/factories/index.py b/metagpt/rag/factories/index.py new file mode 100644 index 000000000..6aad695e7 --- /dev/null +++ b/metagpt/rag/factories/index.py @@ -0,0 +1,63 @@ +"""RAG Index Factory.""" + +import chromadb +from llama_index.core import StorageContext, VectorStoreIndex, load_index_from_storage +from llama_index.core.embeddings import BaseEmbedding +from llama_index.core.indices.base import BaseIndex +from llama_index.vector_stores.faiss import FaissVectorStore + +from metagpt.rag.factories.base import ConfigBasedFactory +from metagpt.rag.schema import ( + BaseIndexConfig, + BM25IndexConfig, + ChromaIndexConfig, + FAISSIndexConfig, +) +from metagpt.rag.vector_stores.chroma import ChromaVectorStore + + +class RAGIndexFactory(ConfigBasedFactory): + def __init__(self): + creators = { + FAISSIndexConfig: self._create_faiss, + ChromaIndexConfig: self._create_chroma, + BM25IndexConfig: self._create_bm25, + } + super().__init__(creators) + + def get_index(self, config: BaseIndexConfig, **kwargs) -> BaseIndex: + """Key is PersistType.""" + return super().get_instance(config, **kwargs) + + def _create_faiss(self, config: FAISSIndexConfig, **kwargs) -> VectorStoreIndex: + embed_model = self._extract_embed_model(config, **kwargs) + + vector_store = FaissVectorStore.from_persist_dir(str(config.persist_path)) + storage_context = StorageContext.from_defaults(vector_store=vector_store, persist_dir=config.persist_path) + index = load_index_from_storage(storage_context=storage_context, embed_model=embed_model) + return index + + def _create_chroma(self, config: ChromaIndexConfig, **kwargs) -> VectorStoreIndex: + embed_model = self._extract_embed_model(config, **kwargs) + + db = chromadb.PersistentClient(str(config.persist_path)) + chroma_collection = db.get_or_create_collection(config.collection_name) + vector_store = ChromaVectorStore(chroma_collection=chroma_collection) + index = VectorStoreIndex.from_vector_store( + vector_store, + embed_model=embed_model, + ) + return index + + def _create_bm25(self, config: BM25IndexConfig, **kwargs) -> VectorStoreIndex: + embed_model = self._extract_embed_model(config, **kwargs) + + storage_context = StorageContext.from_defaults(persist_dir=config.persist_path) + index = load_index_from_storage(storage_context=storage_context, embed_model=embed_model) + return index + + def _extract_embed_model(self, config, **kwargs) -> BaseEmbedding: + return self._val_from_config_or_kwargs("embed_model", config, **kwargs) + + +get_index = RAGIndexFactory().get_index diff --git a/metagpt/rag/factories/llm.py b/metagpt/rag/factories/llm.py new file mode 100644 index 000000000..1cdbab14d --- /dev/null +++ b/metagpt/rag/factories/llm.py @@ -0,0 +1,54 @@ +"""RAG LLM.""" + +from typing import Any + +from llama_index.core.constants import DEFAULT_CONTEXT_WINDOW +from llama_index.core.llms import ( + CompletionResponse, + CompletionResponseGen, + CustomLLM, + LLMMetadata, +) +from llama_index.core.llms.callbacks import llm_completion_callback +from pydantic import Field + +from metagpt.config2 import config +from metagpt.llm import LLM +from metagpt.provider.base_llm import BaseLLM +from metagpt.utils.async_helper import run_coroutine_in_new_loop +from metagpt.utils.token_counter import TOKEN_MAX + + +class RAGLLM(CustomLLM): + """LlamaIndex's LLM is different from MetaGPT's LLM. + + Inherit CustomLLM from llamaindex, making MetaGPT's LLM can be used by LlamaIndex. + """ + + model_infer: BaseLLM = Field(..., description="The MetaGPT's LLM.") + context_window: int = TOKEN_MAX.get(config.llm.model, DEFAULT_CONTEXT_WINDOW) + num_output: int = config.llm.max_token + model_name: str = config.llm.model + + @property + def metadata(self) -> LLMMetadata: + """Get LLM metadata.""" + return LLMMetadata(context_window=self.context_window, num_output=self.num_output, model_name=self.model_name) + + @llm_completion_callback() + def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + return run_coroutine_in_new_loop(self.acomplete(prompt, **kwargs)) + + @llm_completion_callback() + async def acomplete(self, prompt: str, formatted: bool = False, **kwargs: Any) -> CompletionResponse: + text = await self.model_infer.aask(msg=prompt, stream=False) + return CompletionResponse(text=text) + + @llm_completion_callback() + def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + ... + + +def get_rag_llm(model_infer: BaseLLM = None) -> RAGLLM: + """Get llm that can be used by LlamaIndex.""" + return RAGLLM(model_infer=model_infer or LLM()) diff --git a/metagpt/rag/factories/ranker.py b/metagpt/rag/factories/ranker.py new file mode 100644 index 000000000..f05599e15 --- /dev/null +++ b/metagpt/rag/factories/ranker.py @@ -0,0 +1,35 @@ +"""RAG Ranker Factory.""" + +from llama_index.core.llms import LLM +from llama_index.core.postprocessor import LLMRerank +from llama_index.core.postprocessor.types import BaseNodePostprocessor + +from metagpt.rag.factories.base import ConfigBasedFactory +from metagpt.rag.schema import BaseRankerConfig, LLMRankerConfig + + +class RankerFactory(ConfigBasedFactory): + """Modify creators for dynamically instance implementation.""" + + def __init__(self): + creators = { + LLMRankerConfig: self._create_llm_ranker, + } + super().__init__(creators) + + def get_rankers(self, configs: list[BaseRankerConfig] = None, **kwargs) -> list[BaseNodePostprocessor]: + """Creates and returns a retriever instance based on the provided configurations.""" + if not configs: + return [] + + return super().get_instances(configs, **kwargs) + + def _create_llm_ranker(self, config: LLMRankerConfig, **kwargs) -> LLMRerank: + config.llm = self._extract_llm(config, **kwargs) + return LLMRerank(**config.model_dump()) + + def _extract_llm(self, config: BaseRankerConfig = None, **kwargs) -> LLM: + return self._val_from_config_or_kwargs("llm", config, **kwargs) + + +get_rankers = RankerFactory().get_rankers diff --git a/metagpt/rag/factories/retriever.py b/metagpt/rag/factories/retriever.py new file mode 100644 index 000000000..ba48c753e --- /dev/null +++ b/metagpt/rag/factories/retriever.py @@ -0,0 +1,86 @@ +"""RAG Retriever Factory.""" + +import copy + +import chromadb +import faiss +from llama_index.core import StorageContext, VectorStoreIndex +from llama_index.core.vector_stores.types import BasePydanticVectorStore +from llama_index.vector_stores.faiss import FaissVectorStore + +from metagpt.rag.factories.base import ConfigBasedFactory +from metagpt.rag.retrievers.base import RAGRetriever +from metagpt.rag.retrievers.bm25_retriever import DynamicBM25Retriever +from metagpt.rag.retrievers.chroma_retriever import ChromaRetriever +from metagpt.rag.retrievers.faiss_retriever import FAISSRetriever +from metagpt.rag.retrievers.hybrid_retriever import SimpleHybridRetriever +from metagpt.rag.schema import ( + BaseRetrieverConfig, + BM25RetrieverConfig, + ChromaRetrieverConfig, + FAISSRetrieverConfig, + IndexRetrieverConfig, +) +from metagpt.rag.vector_stores.chroma import ChromaVectorStore + + +class RetrieverFactory(ConfigBasedFactory): + """Modify creators for dynamically instance implementation.""" + + def __init__(self): + creators = { + FAISSRetrieverConfig: self._create_faiss_retriever, + BM25RetrieverConfig: self._create_bm25_retriever, + ChromaRetrieverConfig: self._create_chroma_retriever, + } + super().__init__(creators) + + def get_retriever(self, configs: list[BaseRetrieverConfig] = None, **kwargs) -> RAGRetriever: + """Creates and returns a retriever instance based on the provided configurations. + + If multiple retrievers, using SimpleHybridRetriever. + """ + if not configs: + return self._create_default(**kwargs) + + retrievers = super().get_instances(configs, **kwargs) + + return SimpleHybridRetriever(*retrievers) if len(retrievers) > 1 else retrievers[0] + + def _create_default(self, **kwargs) -> RAGRetriever: + return self._extract_index(**kwargs).as_retriever() + + def _create_faiss_retriever(self, config: FAISSRetrieverConfig, **kwargs) -> FAISSRetriever: + vector_store = FaissVectorStore(faiss_index=faiss.IndexFlatL2(config.dimensions)) + config.index = self._build_index_from_vector_store(config, vector_store, **kwargs) + return FAISSRetriever(**config.model_dump()) + + def _create_bm25_retriever(self, config: BM25RetrieverConfig, **kwargs) -> DynamicBM25Retriever: + config.index = copy.deepcopy(self._extract_index(config, **kwargs)) + nodes = list(config.index.docstore.docs.values()) + return DynamicBM25Retriever(nodes=nodes, **config.model_dump()) + + def _create_chroma_retriever(self, config: ChromaRetrieverConfig, **kwargs) -> ChromaRetriever: + db = chromadb.PersistentClient(path=str(config.persist_path)) + chroma_collection = db.get_or_create_collection(config.collection_name) + vector_store = ChromaVectorStore(chroma_collection=chroma_collection) + config.index = self._build_index_from_vector_store(config, vector_store, **kwargs) + return ChromaRetriever(**config.model_dump()) + + def _extract_index(self, config: BaseRetrieverConfig = None, **kwargs) -> VectorStoreIndex: + return self._val_from_config_or_kwargs("index", config, **kwargs) + + def _build_index_from_vector_store( + self, config: IndexRetrieverConfig, vector_store: BasePydanticVectorStore, **kwargs + ) -> VectorStoreIndex: + storage_context = StorageContext.from_defaults(vector_store=vector_store) + old_index = self._extract_index(config, **kwargs) + new_index = VectorStoreIndex( + nodes=list(old_index.docstore.docs.values()), + storage_context=storage_context, + embed_model=old_index._embed_model, + ) + return new_index + + +get_retriever = RetrieverFactory().get_retriever diff --git a/metagpt/rag/interface.py b/metagpt/rag/interface.py new file mode 100644 index 000000000..867605edc --- /dev/null +++ b/metagpt/rag/interface.py @@ -0,0 +1,24 @@ +"""RAG Interfaces.""" + +from typing import Protocol, runtime_checkable + + +@runtime_checkable +class RAGObject(Protocol): + """Support rag add object.""" + + def rag_key(self) -> str: + """For rag search.""" + + def model_dump_json(self) -> str: + """For rag persist. + + Pydantic Model don't need to implement this, as there is a built-in function named model_dump_json. + """ + + +@runtime_checkable +class NoEmbedding(Protocol): + """Some retriever does not require embeddings, e.g. BM25""" + + _no_embedding: bool diff --git a/metagpt/rag/rankers/__init__.py b/metagpt/rag/rankers/__init__.py new file mode 100644 index 000000000..82743487c --- /dev/null +++ b/metagpt/rag/rankers/__init__.py @@ -0,0 +1 @@ +"""Rankers init""" diff --git a/metagpt/rag/rankers/base.py b/metagpt/rag/rankers/base.py new file mode 100644 index 000000000..a533a8b90 --- /dev/null +++ b/metagpt/rag/rankers/base.py @@ -0,0 +1,19 @@ +"""Base Ranker.""" + +from abc import abstractmethod +from typing import Optional + +from llama_index.core.postprocessor.types import BaseNodePostprocessor +from llama_index.core.schema import NodeWithScore, QueryBundle + + +class RAGRanker(BaseNodePostprocessor): + """inherit from llama_index""" + + @abstractmethod + def _postprocess_nodes( + self, + nodes: list[NodeWithScore], + query_bundle: Optional[QueryBundle] = None, + ) -> list[NodeWithScore]: + """postprocess nodes.""" diff --git a/metagpt/rag/retrievers/__init__.py b/metagpt/rag/retrievers/__init__.py new file mode 100644 index 000000000..2f70e0328 --- /dev/null +++ b/metagpt/rag/retrievers/__init__.py @@ -0,0 +1,5 @@ +"""Retrievers init.""" + +from metagpt.rag.retrievers.hybrid_retriever import SimpleHybridRetriever + +__all__ = ["SimpleHybridRetriever"] diff --git a/metagpt/rag/retrievers/base.py b/metagpt/rag/retrievers/base.py new file mode 100644 index 000000000..a7b836833 --- /dev/null +++ b/metagpt/rag/retrievers/base.py @@ -0,0 +1,47 @@ +"""Base retriever.""" + +from abc import abstractmethod + +from llama_index.core.retrievers import BaseRetriever +from llama_index.core.schema import BaseNode, NodeWithScore, QueryType + +from metagpt.utils.reflection import check_methods + + +class RAGRetriever(BaseRetriever): + """Inherit from llama_index""" + + @abstractmethod + async def _aretrieve(self, query: QueryType) -> list[NodeWithScore]: + """Retrieve nodes""" + + def _retrieve(self, query: QueryType) -> list[NodeWithScore]: + """Retrieve nodes""" + + +class ModifiableRAGRetriever(RAGRetriever): + """Support modification.""" + + @classmethod + def __subclasshook__(cls, C): + if cls is ModifiableRAGRetriever: + return check_methods(C, "add_nodes") + return NotImplemented + + @abstractmethod + def add_nodes(self, nodes: list[BaseNode], **kwargs) -> None: + """To support add docs, must inplement this func""" + + +class PersistableRAGRetriever(RAGRetriever): + """Support persistent.""" + + @classmethod + def __subclasshook__(cls, C): + if cls is PersistableRAGRetriever: + return check_methods(C, "persist") + return NotImplemented + + @abstractmethod + def persist(self, persist_dir: str, **kwargs) -> None: + """To support persist, must inplement this func""" diff --git a/metagpt/rag/retrievers/bm25_retriever.py b/metagpt/rag/retrievers/bm25_retriever.py new file mode 100644 index 000000000..241820cf4 --- /dev/null +++ b/metagpt/rag/retrievers/bm25_retriever.py @@ -0,0 +1,47 @@ +"""BM25 retriever.""" +from typing import Callable, Optional + +from llama_index.core import VectorStoreIndex +from llama_index.core.callbacks.base import CallbackManager +from llama_index.core.constants import DEFAULT_SIMILARITY_TOP_K +from llama_index.core.schema import BaseNode, IndexNode +from llama_index.retrievers.bm25 import BM25Retriever +from rank_bm25 import BM25Okapi + + +class DynamicBM25Retriever(BM25Retriever): + """BM25 retriever.""" + + def __init__( + self, + nodes: list[BaseNode], + tokenizer: Optional[Callable[[str], list[str]]] = None, + similarity_top_k: int = DEFAULT_SIMILARITY_TOP_K, + callback_manager: Optional[CallbackManager] = None, + objects: Optional[list[IndexNode]] = None, + object_map: Optional[dict] = None, + verbose: bool = False, + index: VectorStoreIndex = None, + ) -> None: + super().__init__( + nodes=nodes, + tokenizer=tokenizer, + similarity_top_k=similarity_top_k, + callback_manager=callback_manager, + object_map=object_map, + objects=objects, + verbose=verbose, + ) + self._index = index + + def add_nodes(self, nodes: list[BaseNode], **kwargs) -> None: + """Support add nodes.""" + self._nodes.extend(nodes) + self._corpus = [self._tokenizer(node.get_content()) for node in self._nodes] + self.bm25 = BM25Okapi(self._corpus) + + self._index.insert_nodes(nodes, **kwargs) + + def persist(self, persist_dir: str, **kwargs) -> None: + """Support persist.""" + self._index.storage_context.persist(persist_dir) diff --git a/metagpt/rag/retrievers/chroma_retriever.py b/metagpt/rag/retrievers/chroma_retriever.py new file mode 100644 index 000000000..d41f375e4 --- /dev/null +++ b/metagpt/rag/retrievers/chroma_retriever.py @@ -0,0 +1,17 @@ +"""Chroma retriever.""" + +from llama_index.core.retrievers import VectorIndexRetriever +from llama_index.core.schema import BaseNode + + +class ChromaRetriever(VectorIndexRetriever): + """Chroma retriever.""" + + def add_nodes(self, nodes: list[BaseNode], **kwargs) -> None: + """Support add nodes.""" + self._index.insert_nodes(nodes, **kwargs) + + def persist(self, persist_dir: str, **kwargs) -> None: + """Support persist. + + Chromadb automatically saves, so there is no need to implement.""" diff --git a/metagpt/rag/retrievers/faiss_retriever.py b/metagpt/rag/retrievers/faiss_retriever.py new file mode 100644 index 000000000..7e543cce2 --- /dev/null +++ b/metagpt/rag/retrievers/faiss_retriever.py @@ -0,0 +1,16 @@ +"""FAISS retriever.""" + +from llama_index.core.retrievers import VectorIndexRetriever +from llama_index.core.schema import BaseNode + + +class FAISSRetriever(VectorIndexRetriever): + """FAISS retriever.""" + + def add_nodes(self, nodes: list[BaseNode], **kwargs) -> None: + """Support add nodes""" + self._index.insert_nodes(nodes, **kwargs) + + def persist(self, persist_dir: str, **kwargs) -> None: + """Support persist.""" + self._index.storage_context.persist(persist_dir) diff --git a/metagpt/rag/retrievers/hybrid_retriever.py b/metagpt/rag/retrievers/hybrid_retriever.py new file mode 100644 index 000000000..c725bfc20 --- /dev/null +++ b/metagpt/rag/retrievers/hybrid_retriever.py @@ -0,0 +1,48 @@ +"""Hybrid retriever.""" + +import copy + +from llama_index.core.schema import BaseNode, QueryType + +from metagpt.rag.retrievers.base import RAGRetriever + + +class SimpleHybridRetriever(RAGRetriever): + """A composite retriever that aggregates search results from multiple retrievers.""" + + def __init__(self, *retrievers): + self.retrievers: list[RAGRetriever] = retrievers + super().__init__() + + async def _aretrieve(self, query: QueryType, **kwargs): + """Asynchronously retrieves and aggregates search results from all configured retrievers. + + This method queries each retriever in the `retrievers` list with the given query and + additional keyword arguments. It then combines the results, ensuring that each node is + unique, based on the node's ID. + """ + all_nodes = [] + for retriever in self.retrievers: + # Prevent retriever changing query + query_copy = copy.deepcopy(query) + nodes = await retriever.aretrieve(query_copy, **kwargs) + all_nodes.extend(nodes) + + # combine all nodes + result = [] + node_ids = set() + for n in all_nodes: + if n.node.node_id not in node_ids: + result.append(n) + node_ids.add(n.node.node_id) + return result + + def add_nodes(self, nodes: list[BaseNode]) -> None: + """Support add nodes.""" + for r in self.retrievers: + r.add_nodes(nodes) + + def persist(self, persist_dir: str, **kwargs) -> None: + """Support persist.""" + for r in self.retrievers: + r.persist(persist_dir, **kwargs) diff --git a/metagpt/rag/schema.py b/metagpt/rag/schema.py new file mode 100644 index 000000000..cae1c2979 --- /dev/null +++ b/metagpt/rag/schema.py @@ -0,0 +1,124 @@ +"""RAG schemas.""" + +from pathlib import Path +from typing import Any, Union + +from llama_index.core.embeddings import BaseEmbedding +from llama_index.core.indices.base import BaseIndex +from llama_index.core.schema import TextNode +from pydantic import BaseModel, ConfigDict, Field, PrivateAttr + +from metagpt.rag.interface import RAGObject + + +class BaseRetrieverConfig(BaseModel): + """Common config for retrievers. + + If add new subconfig, it is necessary to add the corresponding instance implementation in rag.factories.retriever. + """ + + model_config = ConfigDict(arbitrary_types_allowed=True) + similarity_top_k: int = Field(default=5, description="Number of top-k similar results to return during retrieval.") + + +class IndexRetrieverConfig(BaseRetrieverConfig): + """Config for Index-basd retrievers.""" + + index: BaseIndex = Field(default=None, description="Index for retriver.") + + +class FAISSRetrieverConfig(IndexRetrieverConfig): + """Config for FAISS-based retrievers.""" + + dimensions: int = Field(default=1536, description="Dimensionality of the vectors for FAISS index construction.") + + +class BM25RetrieverConfig(IndexRetrieverConfig): + """Config for BM25-based retrievers.""" + + _no_embedding: bool = PrivateAttr(default=True) + + +class ChromaRetrieverConfig(IndexRetrieverConfig): + """Config for Chroma-based retrievers.""" + + persist_path: Union[str, Path] = Field(default="./chroma_db", description="The directory to save data.") + collection_name: str = Field(default="metagpt", description="The name of the collection.") + + +class BaseRankerConfig(BaseModel): + """Common config for rankers. + + If add new subconfig, it is necessary to add the corresponding instance implementation in rag.factories.ranker. + """ + + model_config = ConfigDict(arbitrary_types_allowed=True) + + top_n: int = Field(default=5, description="The number of top results to return.") + + +class LLMRankerConfig(BaseRankerConfig): + """Config for LLM-based rankers.""" + + llm: Any = Field( + default=None, + description="The LLM to rerank with. using Any instead of LLM, as llama_index.core.llms.LLM is pydantic.v1.", + ) + + +class BaseIndexConfig(BaseModel): + """Common config for index. + + If add new subconfig, it is necessary to add the corresponding instance implementation in rag.factories.index. + """ + + persist_path: Union[str, Path] = Field(description="The directory of saved data.") + + +class VectorIndexConfig(BaseIndexConfig): + """Config for vector-based index.""" + + embed_model: BaseEmbedding = Field(default=None, description="Embed model.") + + +class FAISSIndexConfig(VectorIndexConfig): + """Config for faiss-based index.""" + + +class ChromaIndexConfig(VectorIndexConfig): + """Config for chroma-based index.""" + + collection_name: str = Field(default="metagpt", description="The name of the collection.") + + +class BM25IndexConfig(BaseIndexConfig): + """Config for bm25-based index.""" + + _no_embedding: bool = PrivateAttr(default=True) + + +class ObjectNodeMetadata(BaseModel): + """Metadata of ObjectNode.""" + + is_obj: bool = Field(default=True) + obj: Any = Field(default=None, description="When rag retrieve, will reconstruct obj from obj_json") + obj_json: str = Field(..., description="The json of object, e.g. obj.model_dump_json()") + obj_cls_name: str = Field(..., description="The class name of object, e.g. obj.__class__.__name__") + obj_mod_name: str = Field(..., description="The module name of class, e.g. obj.__class__.__module__") + + +class ObjectNode(TextNode): + """RAG add object.""" + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self.excluded_llm_metadata_keys = list(ObjectNodeMetadata.model_fields.keys()) + self.excluded_embed_metadata_keys = self.excluded_llm_metadata_keys + + @staticmethod + def get_obj_metadata(obj: RAGObject) -> dict: + metadata = ObjectNodeMetadata( + obj_json=obj.model_dump_json(), obj_cls_name=obj.__class__.__name__, obj_mod_name=obj.__class__.__module__ + ) + + return metadata.model_dump() diff --git a/metagpt/rag/vector_stores/__init__.py b/metagpt/rag/vector_stores/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/metagpt/rag/vector_stores/chroma/__init__.py b/metagpt/rag/vector_stores/chroma/__init__.py new file mode 100644 index 000000000..87ba4d8a7 --- /dev/null +++ b/metagpt/rag/vector_stores/chroma/__init__.py @@ -0,0 +1,3 @@ +from metagpt.rag.vector_stores.chroma.base import ChromaVectorStore + +__all__ = ["ChromaVectorStore"] diff --git a/metagpt/rag/vector_stores/chroma/base.py b/metagpt/rag/vector_stores/chroma/base.py new file mode 100644 index 000000000..55e5bd40d --- /dev/null +++ b/metagpt/rag/vector_stores/chroma/base.py @@ -0,0 +1,290 @@ +"""Chroma vector store. + +Refs to https://github.com/run-llama/llama_index/blob/v0.10.12/llama-index-integrations/vector_stores/llama-index-vector-stores-chroma/llama_index/vector_stores/chroma/base.py. +The repo requires onnxruntime = "^1.17.0", which is too new for many OS systems, such as CentOS7. +""" + +import math +from typing import Any, Dict, Generator, List, Optional, cast + +import chromadb +from chromadb.api.models.Collection import Collection +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.schema import BaseNode, MetadataMode, TextNode +from llama_index.core.utils import truncate_text +from llama_index.core.vector_stores.types import ( + BasePydanticVectorStore, + MetadataFilters, + VectorStoreQuery, + VectorStoreQueryResult, +) +from llama_index.core.vector_stores.utils import ( + legacy_metadata_dict_to_node, + metadata_dict_to_node, + node_to_metadata_dict, +) + +from metagpt.logs import logger + + +def _transform_chroma_filter_condition(condition: str) -> str: + """Translate standard metadata filter op to Chroma specific spec.""" + if condition == "and": + return "$and" + elif condition == "or": + return "$or" + else: + raise ValueError(f"Filter condition {condition} not supported") + + +def _transform_chroma_filter_operator(operator: str) -> str: + """Translate standard metadata filter operator to Chroma specific spec.""" + if operator == "!=": + return "$ne" + elif operator == "==": + return "$eq" + elif operator == ">": + return "$gt" + elif operator == "<": + return "$lt" + elif operator == ">=": + return "$gte" + elif operator == "<=": + return "$lte" + else: + raise ValueError(f"Filter operator {operator} not supported") + + +def _to_chroma_filter( + standard_filters: MetadataFilters, +) -> dict: + """Translate standard metadata filters to Chroma specific spec.""" + filters = {} + filters_list = [] + condition = standard_filters.condition or "and" + condition = _transform_chroma_filter_condition(condition) + if standard_filters.filters: + for filter in standard_filters.filters: + if filter.operator: + filters_list.append({filter.key: {_transform_chroma_filter_operator(filter.operator): filter.value}}) + else: + filters_list.append({filter.key: filter.value}) + if len(filters_list) == 1: + # If there is only one filter, return it directly + return filters_list[0] + elif len(filters_list) > 1: + filters[condition] = filters_list + return filters + + +import_err_msg = "`chromadb` package not found, please run `pip install chromadb`" +MAX_CHUNK_SIZE = 41665 # One less than the max chunk size for ChromaDB + + +def chunk_list(lst: List[BaseNode], max_chunk_size: int) -> Generator[List[BaseNode], None, None]: + """Yield successive max_chunk_size-sized chunks from lst. + Args: + lst (List[BaseNode]): list of nodes with embeddings + max_chunk_size (int): max chunk size + Yields: + Generator[List[BaseNode], None, None]: list of nodes with embeddings + """ + for i in range(0, len(lst), max_chunk_size): + yield lst[i : i + max_chunk_size] + + +class ChromaVectorStore(BasePydanticVectorStore): + """Chroma vector store. + In this vector store, embeddings are stored within a ChromaDB collection. + During query time, the index uses ChromaDB to query for the top + k most similar nodes. + Args: + chroma_collection (chromadb.api.models.Collection.Collection): + ChromaDB collection instance + """ + + stores_text: bool = True + flat_metadata: bool = True + collection_name: Optional[str] + host: Optional[str] + port: Optional[str] + ssl: bool + headers: Optional[Dict[str, str]] + persist_dir: Optional[str] + collection_kwargs: Dict[str, Any] = Field(default_factory=dict) + _collection: Any = PrivateAttr() + + def __init__( + self, + chroma_collection: Optional[Any] = None, + collection_name: Optional[str] = None, + host: Optional[str] = None, + port: Optional[str] = None, + ssl: bool = False, + headers: Optional[Dict[str, str]] = None, + persist_dir: Optional[str] = None, + collection_kwargs: Optional[dict] = None, + **kwargs: Any, + ) -> None: + """Init params.""" + collection_kwargs = collection_kwargs or {} + if chroma_collection is None: + client = chromadb.HttpClient(host=host, port=port, ssl=ssl, headers=headers) + self._collection = client.get_or_create_collection(name=collection_name, **collection_kwargs) + else: + self._collection = cast(Collection, chroma_collection) + super().__init__( + host=host, + port=port, + ssl=ssl, + headers=headers, + collection_name=collection_name, + persist_dir=persist_dir, + collection_kwargs=collection_kwargs or {}, + ) + + @classmethod + def from_collection(cls, collection: Any) -> "ChromaVectorStore": + try: + from chromadb import Collection + except ImportError: + raise ImportError(import_err_msg) + if not isinstance(collection, Collection): + raise Exception("argument is not chromadb collection instance") + return cls(chroma_collection=collection) + + @classmethod + def from_params( + cls, + collection_name: str, + host: Optional[str] = None, + port: Optional[str] = None, + ssl: bool = False, + headers: Optional[Dict[str, str]] = None, + persist_dir: Optional[str] = None, + collection_kwargs: dict = {}, + **kwargs: Any, + ) -> "ChromaVectorStore": + if persist_dir: + client = chromadb.PersistentClient(path=persist_dir) + collection = client.get_or_create_collection(name=collection_name, **collection_kwargs) + elif host and port: + client = chromadb.HttpClient(host=host, port=port, ssl=ssl, headers=headers) + collection = client.get_or_create_collection(name=collection_name, **collection_kwargs) + else: + raise ValueError("Either `persist_dir` or (`host`,`port`) must be specified") + return cls( + chroma_collection=collection, + host=host, + port=port, + ssl=ssl, + headers=headers, + persist_dir=persist_dir, + collection_kwargs=collection_kwargs, + **kwargs, + ) + + @classmethod + def class_name(cls) -> str: + return "ChromaVectorStore" + + def add(self, nodes: List[BaseNode], **add_kwargs: Any) -> List[str]: + """Add nodes to index. + Args: + nodes: List[BaseNode]: list of nodes with embeddings + """ + if not self._collection: + raise ValueError("Collection not initialized") + max_chunk_size = MAX_CHUNK_SIZE + node_chunks = chunk_list(nodes, max_chunk_size) + all_ids = [] + for node_chunk in node_chunks: + embeddings = [] + metadatas = [] + ids = [] + documents = [] + for node in node_chunk: + embeddings.append(node.get_embedding()) + metadata_dict = node_to_metadata_dict(node, remove_text=True, flat_metadata=self.flat_metadata) + for key in metadata_dict: + if metadata_dict[key] is None: + metadata_dict[key] = "" + metadatas.append(metadata_dict) + ids.append(node.node_id) + documents.append(node.get_content(metadata_mode=MetadataMode.NONE)) + self._collection.add( + embeddings=embeddings, + ids=ids, + metadatas=metadatas, + documents=documents, + ) + all_ids.extend(ids) + return all_ids + + def delete(self, ref_doc_id: str, **delete_kwargs: Any) -> None: + """ + Delete nodes using with ref_doc_id. + Args: + ref_doc_id (str): The doc_id of the document to delete. + """ + self._collection.delete(where={"document_id": ref_doc_id}) + + @property + def client(self) -> Any: + """Return client.""" + return self._collection + + def query(self, query: VectorStoreQuery, **kwargs: Any) -> VectorStoreQueryResult: + """Query index for top k most similar nodes. + Args: + query_embedding (List[float]): query embedding + similarity_top_k (int): top k most similar nodes + """ + if query.filters is not None: + if "where" in kwargs: + raise ValueError( + "Cannot specify metadata filters via both query and kwargs. " + "Use kwargs only for chroma specific items that are " + "not supported via the generic query interface." + ) + where = _to_chroma_filter(query.filters) + else: + where = kwargs.pop("where", {}) + results = self._collection.query( + query_embeddings=query.query_embedding, + n_results=query.similarity_top_k, + where=where, + **kwargs, + ) + logger.debug(f"> Top {len(results['documents'])} nodes:") + nodes = [] + similarities = [] + ids = [] + for node_id, text, metadata, distance in zip( + results["ids"][0], + results["documents"][0], + results["metadatas"][0], + results["distances"][0], + ): + try: + node = metadata_dict_to_node(metadata) + node.set_content(text) + except Exception: + # NOTE: deprecated legacy logic for backward compatibility + metadata, node_info, relationships = legacy_metadata_dict_to_node(metadata) + node = TextNode( + text=text, + id_=node_id, + metadata=metadata, + start_char_idx=node_info.get("start", None), + end_char_idx=node_info.get("end", None), + relationships=relationships, + ) + nodes.append(node) + similarity_score = math.exp(-distance) + similarities.append(similarity_score) + logger.debug( + f"> [Node {node_id}] [Similarity score: {similarity_score}] " f"{truncate_text(str(text), 100)}" + ) + ids.append(node_id) + return VectorStoreQueryResult(nodes=nodes, similarities=similarities, ids=ids) diff --git a/metagpt/repo_parser.py b/metagpt/repo_parser.py index e91ebd215..bc3bae662 100644 --- a/metagpt/repo_parser.py +++ b/metagpt/repo_parser.py @@ -1,6 +1,10 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- """ +Build a symbols repository from source code. + +This script is designed to create a symbols repository from the provided source code. + @Time : 2023/11/17 17:58 @Author : alexanderwu @File : repo_parser.py @@ -15,15 +19,26 @@ from pathlib import Path from typing import Dict, List, Optional import pandas as pd -from pydantic import BaseModel, Field +from pydantic import BaseModel, Field, field_validator from metagpt.const import AGGREGATION, COMPOSITION, GENERALIZATION from metagpt.logs import logger -from metagpt.utils.common import any_to_str, aread +from metagpt.utils.common import any_to_str, aread, remove_white_spaces from metagpt.utils.exceptions import handle_exception class RepoFileInfo(BaseModel): + """ + Repository data element that represents information about a file. + + Attributes: + file (str): The name or path of the file. + classes (List): A list of class names present in the file. + functions (List): A list of function names present in the file. + globals (List): A list of global variable names present in the file. + page_info (List): A list of page-related information associated with the file. + """ + file: str classes: List = Field(default_factory=list) functions: List = Field(default_factory=list) @@ -32,6 +47,17 @@ class RepoFileInfo(BaseModel): class CodeBlockInfo(BaseModel): + """ + Repository data element representing information about a code block. + + Attributes: + lineno (int): The starting line number of the code block. + end_lineno (int): The ending line number of the code block. + type_name (str): The type or category of the code block. + tokens (List): A list of tokens present in the code block. + properties (Dict): A dictionary containing additional properties associated with the code block. + """ + lineno: int end_lineno: int type_name: str @@ -39,31 +65,395 @@ class CodeBlockInfo(BaseModel): properties: Dict = Field(default_factory=dict) -class ClassInfo(BaseModel): +class DotClassAttribute(BaseModel): + """ + Repository data element representing a class attribute in dot format. + + Attributes: + name (str): The name of the class attribute. + type_ (str): The type of the class attribute. + default_ (str): The default value of the class attribute. + description (str): A description of the class attribute. + compositions (List[str]): A list of compositions associated with the class attribute. + """ + + name: str = "" + type_: str = "" + default_: str = "" + description: str + compositions: List[str] = Field(default_factory=list) + + @classmethod + def parse(cls, v: str) -> "DotClassAttribute": + """ + Parses dot format text and returns a DotClassAttribute object. + + Args: + v (str): Dot format text to be parsed. + + Returns: + DotClassAttribute: An instance of the DotClassAttribute class representing the parsed data. + """ + val = "" + meet_colon = False + meet_equals = False + for c in v: + if c == ":": + meet_colon = True + elif c == "=": + meet_equals = True + if not meet_colon: + val += ":" + meet_colon = True + val += c + if not meet_colon: + val += ":" + if not meet_equals: + val += "=" + + cix = val.find(":") + eix = val.rfind("=") + name = val[0:cix].strip() + type_ = val[cix + 1 : eix] + default_ = val[eix + 1 :].strip() + + type_ = remove_white_spaces(type_) # remove white space + if type_ == "NoneType": + type_ = "" + if "Literal[" in type_: + pre_l, literal, post_l = cls._split_literal(type_) + composition_val = pre_l + "Literal" + post_l # replace Literal[...] with Literal + type_ = pre_l + literal + post_l + else: + type_ = re.sub(r"['\"]+", "", type_) # remove '" + composition_val = type_ + + if default_ == "None": + default_ = "" + compositions = cls.parse_compositions(composition_val) + return cls(name=name, type_=type_, default_=default_, description=v, compositions=compositions) + + @staticmethod + def parse_compositions(types_part) -> List[str]: + """ + Parses the type definition code block of source code and returns a list of compositions. + + Args: + types_part: The type definition code block to be parsed. + + Returns: + List[str]: A list of compositions extracted from the type definition code block. + """ + if not types_part: + return [] + modified_string = re.sub(r"[\[\],\(\)]", "|", types_part) + types = modified_string.split("|") + filters = { + "str", + "frozenset", + "set", + "int", + "float", + "complex", + "bool", + "dict", + "list", + "Union", + "Dict", + "Set", + "Tuple", + "NoneType", + "None", + "Any", + "Optional", + "Iterator", + "Literal", + "List", + } + result = set() + for t in types: + t = re.sub(r"['\"]+", "", t.strip()) + if t and t not in filters: + result.add(t) + return list(result) + + @staticmethod + def _split_literal(v): + """ + Parses the literal definition code block and returns three parts: pre-part, literal-part, and post-part. + + Args: + v: The literal definition code block to be parsed. + + Returns: + Tuple[str, str, str]: A tuple containing the pre-part, literal-part, and post-part of the code block. + """ + tag = "Literal[" + bix = v.find(tag) + eix = len(v) - 1 + counter = 1 + for i in range(bix + len(tag), len(v) - 1): + c = v[i] + if c == "[": + counter += 1 + continue + if c == "]": + counter -= 1 + if counter > 0: + continue + eix = i + break + pre_l = v[0:bix] + post_l = v[eix + 1 :] + pre_l = re.sub(r"['\"]", "", pre_l) # remove '" + pos_l = re.sub(r"['\"]", "", post_l) # remove '" + + return pre_l, v[bix : eix + 1], pos_l + + @field_validator("compositions", mode="after") + @classmethod + def sort(cls, lst: List) -> List: + """ + Auto-sorts a list attribute after making changes. + + Args: + lst (List): The list attribute to be sorted. + + Returns: + List: The sorted list. + """ + lst.sort() + return lst + + +class DotClassInfo(BaseModel): + """ + Repository data element representing information about a class in dot format. + + Attributes: + name (str): The name of the class. + package (Optional[str]): The package to which the class belongs (optional). + attributes (Dict[str, DotClassAttribute]): A dictionary of attributes associated with the class. + methods (Dict[str, DotClassMethod]): A dictionary of methods associated with the class. + compositions (List[str]): A list of compositions associated with the class. + aggregations (List[str]): A list of aggregations associated with the class. + """ + name: str package: Optional[str] = None - attributes: Dict[str, str] = Field(default_factory=dict) - methods: Dict[str, str] = Field(default_factory=dict) + attributes: Dict[str, DotClassAttribute] = Field(default_factory=dict) + methods: Dict[str, DotClassMethod] = Field(default_factory=dict) + compositions: List[str] = Field(default_factory=list) + aggregations: List[str] = Field(default_factory=list) + + @field_validator("compositions", "aggregations", mode="after") + @classmethod + def sort(cls, lst: List) -> List: + """ + Auto-sorts a list attribute after making changes. + + Args: + lst (List): The list attribute to be sorted. + + Returns: + List: The sorted list. + """ + lst.sort() + return lst -class ClassRelationship(BaseModel): +class DotClassRelationship(BaseModel): + """ + Repository data element representing a relationship between two classes in dot format. + + Attributes: + src (str): The source class of the relationship. + dest (str): The destination class of the relationship. + relationship (str): The type or nature of the relationship. + label (Optional[str]): An optional label associated with the relationship. + """ + src: str = "" dest: str = "" relationship: str = "" label: Optional[str] = None +class DotReturn(BaseModel): + """ + Repository data element representing a function or method return type in dot format. + + Attributes: + type_ (str): The type of the return. + description (str): A description of the return type. + compositions (List[str]): A list of compositions associated with the return type. + """ + + type_: str = "" + description: str + compositions: List[str] = Field(default_factory=list) + + @classmethod + def parse(cls, v: str) -> "DotReturn" | None: + """ + Parses the return type part of dot format text and returns a DotReturn object. + + Args: + v (str): The dot format text containing the return type part to be parsed. + + Returns: + DotReturn | None: An instance of the DotReturn class representing the parsed return type, + or None if parsing fails. + """ + if not v: + return DotReturn(description=v) + type_ = remove_white_spaces(v) + compositions = DotClassAttribute.parse_compositions(type_) + return cls(type_=type_, description=v, compositions=compositions) + + @field_validator("compositions", mode="after") + @classmethod + def sort(cls, lst: List) -> List: + """ + Auto-sorts a list attribute after making changes. + + Args: + lst (List): The list attribute to be sorted. + + Returns: + List: The sorted list. + """ + lst.sort() + return lst + + +class DotClassMethod(BaseModel): + name: str + args: List[DotClassAttribute] = Field(default_factory=list) + return_args: Optional[DotReturn] = None + description: str + aggregations: List[str] = Field(default_factory=list) + + @classmethod + def parse(cls, v: str) -> "DotClassMethod": + """ + Parses a dot format method text and returns a DotClassMethod object. + + Args: + v (str): The dot format text containing method information to be parsed. + + Returns: + DotClassMethod: An instance of the DotClassMethod class representing the parsed method. + """ + bix = v.find("(") + eix = v.rfind(")") + rix = v.rfind(":") + if rix < 0 or rix < eix: + rix = eix + name_part = v[0:bix].strip() + args_part = v[bix + 1 : eix].strip() + return_args_part = v[rix + 1 :].strip() + + name = cls._parse_name(name_part) + args = cls._parse_args(args_part) + return_args = DotReturn.parse(return_args_part) + aggregations = set() + for i in args: + aggregations.update(set(i.compositions)) + aggregations.update(set(return_args.compositions)) + + return cls(name=name, args=args, description=v, return_args=return_args, aggregations=list(aggregations)) + + @staticmethod + def _parse_name(v: str) -> str: + """ + Parses the dot format method name part and returns the method name. + + Args: + v (str): The dot format text containing the method name part to be parsed. + + Returns: + str: The parsed method name. + """ + tags = [">", " List[DotClassAttribute]: + """ + Parses the dot format method arguments part and returns the parsed arguments. + + Args: + v (str): The dot format text containing the arguments part to be parsed. + + Returns: + str: The parsed method arguments. + """ + if not v: + return [] + parts = [] + bix = 0 + counter = 0 + for i in range(0, len(v)): + c = v[i] + if c == "[": + counter += 1 + continue + elif c == "]": + counter -= 1 + continue + elif c == "," and counter == 0: + parts.append(v[bix:i].strip()) + bix = i + 1 + parts.append(v[bix:].strip()) + + attrs = [] + for p in parts: + if p: + attr = DotClassAttribute.parse(p) + attrs.append(attr) + return attrs + + class RepoParser(BaseModel): + """ + Tool to build a symbols repository from a project directory. + + Attributes: + base_directory (Path): The base directory of the project. + """ + base_directory: Path = Field(default=None) @classmethod @handle_exception(exception_type=Exception, default_return=[]) def _parse_file(cls, file_path: Path) -> list: - """Parse a Python file in the repository.""" + """ + Parses a Python file in the repository. + + Args: + file_path (Path): The path to the Python file to be parsed. + + Returns: + list: A list containing the parsed symbols from the file. + """ return ast.parse(file_path.read_text()).body def extract_class_and_function_info(self, tree, file_path) -> RepoFileInfo: - """Extract class, function, and global variable information from the AST.""" + """ + Extracts class, function, and global variable information from the Abstract Syntax Tree (AST). + + Args: + tree: The Abstract Syntax Tree (AST) of the Python file. + file_path: The path to the Python file. + + Returns: + RepoFileInfo: A RepoFileInfo object containing the extracted information. + """ file_info = RepoFileInfo(file=str(file_path.relative_to(self.base_directory))) for node in tree: info = RepoParser.node_to_str(node) @@ -81,11 +471,17 @@ class RepoParser(BaseModel): return file_info def generate_symbols(self) -> List[RepoFileInfo]: + """ + Builds a symbol repository from '.py' and '.js' files in the project directory. + + Returns: + List[RepoFileInfo]: A list of RepoFileInfo objects containing the extracted information. + """ files_classes = [] directory = self.base_directory matching_files = [] - extensions = ["*.py", "*.js"] + extensions = ["*.py"] for ext in extensions: matching_files += directory.rglob(ext) for path in matching_files: @@ -95,19 +491,38 @@ class RepoParser(BaseModel): return files_classes - def generate_json_structure(self, output_path): - """Generate a JSON file documenting the repository structure.""" + def generate_json_structure(self, output_path: Path): + """ + Generates a JSON file documenting the repository structure. + + Args: + output_path (Path): The path to the JSON file to be generated. + """ files_classes = [i.model_dump() for i in self.generate_symbols()] output_path.write_text(json.dumps(files_classes, indent=4)) - def generate_dataframe_structure(self, output_path): - """Generate a DataFrame documenting the repository structure and save as CSV.""" + def generate_dataframe_structure(self, output_path: Path): + """ + Generates a DataFrame documenting the repository structure and saves it as a CSV file. + + Args: + output_path (Path): The path to the CSV file to be generated. + """ files_classes = [i.model_dump() for i in self.generate_symbols()] df = pd.DataFrame(files_classes) df.to_csv(output_path, index=False) - def generate_structure(self, output_path=None, mode="json") -> Path: - """Generate the structure of the repository as a specified format.""" + def generate_structure(self, output_path: str | Path = None, mode="json") -> Path: + """ + Generates the structure of the repository in a specified format. + + Args: + output_path (str | Path): The path to the output file or directory. Default is None. + mode (str): The output format mode. Options: "json" (default), "csv", etc. + + Returns: + Path: The path to the generated output file or directory. + """ output_file = self.base_directory / f"{self.base_directory.name}-structure.{mode}" output_path = Path(output_path) if output_path else output_file @@ -119,6 +534,16 @@ class RepoParser(BaseModel): @staticmethod def node_to_str(node) -> CodeBlockInfo | None: + """ + Parses and converts an Abstract Syntax Tree (AST) node to a CodeBlockInfo object. + + Args: + node: The AST node to be converted. + + Returns: + CodeBlockInfo | None: A CodeBlockInfo object representing the parsed AST node, + or None if the conversion fails. + """ if isinstance(node, ast.Try): return None if any_to_str(node) == any_to_str(ast.Expr): @@ -159,9 +584,19 @@ class RepoParser(BaseModel): @staticmethod def _parse_expr(node) -> List: + """ + Parses an expression Abstract Syntax Tree (AST) node. + + Args: + node: The AST node representing an expression. + + Returns: + List: A list containing the parsed information from the expression node. + """ funcs = { any_to_str(ast.Constant): lambda x: [any_to_str(x.value), RepoParser._parse_variable(x.value)], any_to_str(ast.Call): lambda x: [any_to_str(x.value), RepoParser._parse_variable(x.value.func)], + any_to_str(ast.Tuple): lambda x: [any_to_str(x.value), RepoParser._parse_variable(x.value)], } func = funcs.get(any_to_str(node.value)) if func: @@ -170,12 +605,30 @@ class RepoParser(BaseModel): @staticmethod def _parse_name(n): + """ + Gets the 'name' value of an Abstract Syntax Tree (AST) node. + + Args: + n: The AST node. + + Returns: + The 'name' value of the AST node. + """ if n.asname: return f"{n.name} as {n.asname}" return n.name @staticmethod def _parse_if(n): + """ + Parses an 'if' statement Abstract Syntax Tree (AST) node. + + Args: + n: The AST node representing an 'if' statement. + + Returns: + None or Parsed information from the 'if' statement node. + """ tokens = [] try: if isinstance(n.test, ast.BoolOp): @@ -187,10 +640,14 @@ class RepoParser(BaseModel): v = RepoParser._parse_variable(n.test.left) if v: tokens.append(v) - for item in n.test.comparators: - v = RepoParser._parse_variable(item) - if v: - tokens.append(v) + if isinstance(n.test, ast.Name): + v = RepoParser._parse_variable(n.test) + tokens.append(v) + if hasattr(n.test, "comparators"): + for item in n.test.comparators: + v = RepoParser._parse_variable(item) + if v: + tokens.append(v) return tokens except Exception as e: logger.warning(f"Unsupported if: {n}, err:{e}") @@ -198,6 +655,15 @@ class RepoParser(BaseModel): @staticmethod def _parse_if_compare(n): + """ + Parses an 'if' condition Abstract Syntax Tree (AST) node. + + Args: + n: The AST node representing an 'if' condition. + + Returns: + None or Parsed information from the 'if' condition node. + """ if hasattr(n, "left"): return RepoParser._parse_variable(n.left) else: @@ -205,6 +671,15 @@ class RepoParser(BaseModel): @staticmethod def _parse_variable(node): + """ + Parses a variable Abstract Syntax Tree (AST) node. + + Args: + node: The AST node representing a variable. + + Returns: + None or Parsed information from the variable node. + """ try: funcs = { any_to_str(ast.Constant): lambda x: x.value, @@ -213,7 +688,7 @@ class RepoParser(BaseModel): if hasattr(x.value, "id") else f"{x.attr}", any_to_str(ast.Call): lambda x: RepoParser._parse_variable(x.func), - any_to_str(ast.Tuple): lambda x: "", + any_to_str(ast.Tuple): lambda x: [d.value for d in x.dims], } func = funcs.get(any_to_str(node)) if not func: @@ -224,22 +699,42 @@ class RepoParser(BaseModel): @staticmethod def _parse_assign(node): + """ + Parses an assignment Abstract Syntax Tree (AST) node. + + Args: + node: The AST node representing an assignment. + + Returns: + None or Parsed information from the assignment node. + """ return [RepoParser._parse_variable(t) for t in node.targets] async def rebuild_class_views(self, path: str | Path = None): + """ + Executes `pylint` to reconstruct the dot format class view repository file. + + Args: + path (str | Path): The path to the target directory or file. Default is None. + """ if not path: path = self.base_directory path = Path(path) if not path.exists(): return + init_file = path / "__init__.py" + if not init_file.exists(): + raise ValueError("Failed to import module __init__ with error:No module named __init__.") command = f"pyreverse {str(path)} -o dot" - result = subprocess.run(command, shell=True, check=True, cwd=str(path)) + output_dir = path / "__dot__" + output_dir.mkdir(parents=True, exist_ok=True) + result = subprocess.run(command, shell=True, check=True, cwd=str(output_dir)) if result.returncode != 0: raise ValueError(f"{result}") - class_view_pathname = path / "classes.dot" + class_view_pathname = output_dir / "classes.dot" class_views = await self._parse_classes(class_view_pathname) relationship_views = await self._parse_class_relationships(class_view_pathname) - packages_pathname = path / "packages.dot" + packages_pathname = output_dir / "packages.dot" class_views, relationship_views, package_root = RepoParser._repair_namespaces( class_views=class_views, relationship_views=relationship_views, path=path ) @@ -247,7 +742,17 @@ class RepoParser(BaseModel): packages_pathname.unlink(missing_ok=True) return class_views, relationship_views, package_root - async def _parse_classes(self, class_view_pathname): + @staticmethod + async def _parse_classes(class_view_pathname: Path) -> List[DotClassInfo]: + """ + Parses a dot format class view repository file. + + Args: + class_view_pathname (Path): The path to the dot format class view repository file. + + Returns: + List[DotClassInfo]: A list of DotClassInfo objects representing the parsed classes. + """ class_views = [] if not class_view_pathname.exists(): return class_views @@ -258,22 +763,38 @@ class RepoParser(BaseModel): if not package_name: continue class_name, members, functions = re.split(r"(? List[ClassRelationship]: + @staticmethod + async def _parse_class_relationships(class_view_pathname: Path) -> List[DotClassRelationship]: + """ + Parses a dot format class view repository file. + + Args: + class_view_pathname (Path): The path to the dot format class view repository file. + + Returns: + List[DotClassRelationship]: A list of DotClassRelationship objects representing the parsed class relationships. + """ relationship_views = [] if not class_view_pathname.exists(): return relationship_views @@ -287,7 +808,16 @@ class RepoParser(BaseModel): return relationship_views @staticmethod - def _split_class_line(line): + def _split_class_line(line: str) -> (str, str): + """ + Parses a dot format line about class info and returns the class name part and class members part. + + Args: + line (str): The dot format line containing class information. + + Returns: + Tuple[str, str]: A tuple containing the class name part and class members part. + """ part_splitor = '" [' if part_splitor not in line: return None, None @@ -305,14 +835,25 @@ class RepoParser(BaseModel): return class_name, info @staticmethod - def _split_relationship_line(line): + def _split_relationship_line(line: str) -> DotClassRelationship: + """ + Parses a dot format line about the relationship of two classes and returns 'Generalize', 'Composite', + or 'Aggregate'. + + Args: + line (str): The dot format line containing relationship information. + + Returns: + DotClassRelationship: The object of relationship representing either 'Generalize', 'Composite', + or 'Aggregate' relationship. + """ splitters = [" -> ", " [", "];"] idxs = [] for tag in splitters: if tag not in line: return None idxs.append(line.find(tag)) - ret = ClassRelationship() + ret = DotClassRelationship() ret.src = line[0 : idxs[0]].strip('"') ret.dest = line[idxs[0] + len(splitters[0]) : idxs[1]].strip('"') properties = line[idxs[1] + len(splitters[1]) : idxs[2]].strip(" ") @@ -330,7 +871,16 @@ class RepoParser(BaseModel): return ret @staticmethod - def _get_label(line): + def _get_label(line: str) -> str: + """ + Parses a dot format line and returns the label information. + + Args: + line (str): The dot format line containing label information. + + Returns: + str: The label information parsed from the line. + """ tag = 'label="' if tag not in line: return "" @@ -340,6 +890,15 @@ class RepoParser(BaseModel): @staticmethod def _create_path_mapping(path: str | Path) -> Dict[str, str]: + """ + Creates a mapping table between source code files' paths and module names. + + Args: + path (str | Path): The path to the source code files or directory. + + Returns: + Dict[str, str]: A dictionary mapping source code file paths to their corresponding module names. + """ mappings = { str(path).replace("/", "."): str(path), } @@ -363,8 +922,21 @@ class RepoParser(BaseModel): @staticmethod def _repair_namespaces( - class_views: List[ClassInfo], relationship_views: List[ClassRelationship], path: str | Path - ) -> (List[ClassInfo], List[ClassRelationship], str): + class_views: List[DotClassInfo], relationship_views: List[DotClassRelationship], path: str | Path + ) -> (List[DotClassInfo], List[DotClassRelationship], str): + """ + Augments namespaces to the path-prefixed classes and relationships. + + Args: + class_views (List[DotClassInfo]): List of DotClassInfo objects representing class views. + relationship_views (List[DotClassRelationship]): List of DotClassRelationship objects representing + relationships. + path (str | Path): The path to the source code files or directory. + + Returns: + Tuple[List[DotClassInfo], List[DotClassRelationship], str]: A tuple containing the augmented class views, + relationships, and the root path of the package. + """ if not class_views: return [], [], "" c = class_views[0] @@ -383,28 +955,49 @@ class RepoParser(BaseModel): for c in class_views: c.package = RepoParser._repair_ns(c.package, new_mappings) - for i in range(len(relationship_views)): - v = relationship_views[i] + for _, v in enumerate(relationship_views): v.src = RepoParser._repair_ns(v.src, new_mappings) v.dest = RepoParser._repair_ns(v.dest, new_mappings) - relationship_views[i] = v - return class_views, relationship_views, root_path + return class_views, relationship_views, str(path)[: len(root_path)] @staticmethod - def _repair_ns(package, mappings): + def _repair_ns(package: str, mappings: Dict[str, str]) -> str: + """ + Replaces the package-prefix with the namespace-prefix. + + Args: + package (str): The package to be repaired. + mappings (Dict[str, str]): A dictionary mapping source code file paths to their corresponding packages. + + Returns: + str: The repaired namespace. + """ file_ns = package + ix = 0 while file_ns != "": if file_ns not in mappings: ix = file_ns.rfind(".") file_ns = file_ns[0:ix] continue break + if file_ns == "": + return "" internal_ns = package[ix + 1 :] ns = mappings[file_ns] + ":" + internal_ns.replace(".", ":") return ns @staticmethod - def _find_root(full_key, package) -> str: + def _find_root(full_key: str, package: str) -> str: + """ + Returns the package root path based on the key, which is the full path, and the package information. + + Args: + full_key (str): The full key representing the full path. + package (str): The package information. + + Returns: + str: The package root path. + """ left = full_key while left != "": if left in package: @@ -417,5 +1010,14 @@ class RepoParser(BaseModel): return "." + full_key[0:ix] -def is_func(node): +def is_func(node) -> bool: + """ + Returns True if the given node represents a function. + + Args: + node: The Abstract Syntax Tree (AST) node. + + Returns: + bool: True if the node represents a function, False otherwise. + """ return isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)) diff --git a/metagpt/roles/__init__.py b/metagpt/roles/__init__.py index f033a5dfa..08a0406b3 100644 --- a/metagpt/roles/__init__.py +++ b/metagpt/roles/__init__.py @@ -14,7 +14,6 @@ from metagpt.roles.engineer import Engineer from metagpt.roles.qa_engineer import QaEngineer from metagpt.roles.searcher import Searcher from metagpt.roles.sales import Sales -from metagpt.roles.customer_service import CustomerService __all__ = [ @@ -26,5 +25,4 @@ __all__ = [ "QaEngineer", "Searcher", "Sales", - "CustomerService", ] diff --git a/metagpt/roles/assistant.py b/metagpt/roles/assistant.py index 2774bd9b6..895fd8385 100644 --- a/metagpt/roles/assistant.py +++ b/metagpt/roles/assistant.py @@ -65,7 +65,7 @@ class Assistant(Role): prompt += f"If the text explicitly want you to {desc}, return `[SKILL]: {name}` brief and clear. For instance: [SKILL]: {name}\n" prompt += 'Otherwise, return `[TALK]: {talk}` brief and clear. For instance: if {talk} is "xxxx" return [TALK]: xxxx\n\n' prompt += f"Now what specific action is explicitly mentioned in the text: {last_talk}\n" - rsp = await self.llm.aask(prompt, ["You are an action classifier"]) + rsp = await self.llm.aask(prompt, ["You are an action classifier"], stream=False) logger.info(f"THINK: {prompt}\n, THINK RESULT: {rsp}\n") return await self._plan(rsp, last_talk=last_talk) diff --git a/metagpt/roles/ci/code_interpreter.py b/metagpt/roles/ci/code_interpreter.py deleted file mode 100644 index 796abba04..000000000 --- a/metagpt/roles/ci/code_interpreter.py +++ /dev/null @@ -1,89 +0,0 @@ -from __future__ import annotations - -from pydantic import Field - -from metagpt.actions.ci.ask_review import ReviewConst -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode -from metagpt.actions.ci.write_analysis_code import ( - WriteCodeWithoutTools, - WriteCodeWithTools, -) -from metagpt.logs import logger -from metagpt.roles import Role -from metagpt.schema import Message, Task, TaskResult - - -class CodeInterpreter(Role): - name: str = "Charlie" - profile: str = "CodeInterpreter" - auto_run: bool = True - use_tools: bool = False - execute_code: ExecuteNbCode = Field(default_factory=ExecuteNbCode, exclude=True) - tools: list[str] = [] - - def __init__( - self, - auto_run=True, - use_tools=False, - tools=[], - **kwargs, - ): - super().__init__(auto_run=auto_run, use_tools=use_tools, tools=tools, **kwargs) - self._set_react_mode(react_mode="plan_and_act", auto_run=auto_run, use_tools=use_tools) - if use_tools and tools: - from metagpt.tools.tool_registry import ( - validate_tool_names, # import upon use - ) - - self.tools = validate_tool_names(tools) - logger.info(f"will only use {self.tools} as tools") - - @property - def working_memory(self): - return self.rc.working_memory - - async def _act_on_task(self, current_task: Task) -> TaskResult: - code, result, is_success = await self._write_and_exec_code() - task_result = TaskResult(code=code, result=result, is_success=is_success) - return task_result - - async def _write_and_exec_code(self, max_retry: int = 3): - counter = 0 - success = False - - while not success and counter < max_retry: - ### write code ### - code, cause_by = await self._write_code() - - self.working_memory.add(Message(content=code["code"], role="assistant", cause_by=cause_by)) - - ### execute code ### - result, success = await self.execute_code.run(**code) - print(result) - - self.working_memory.add(Message(content=result, role="user", cause_by=ExecuteNbCode)) - - ### process execution result ### - counter += 1 - - if not success and counter >= max_retry: - logger.info("coding failed!") - review, _ = await self.planner.ask_review(auto_run=False, trigger=ReviewConst.CODE_REVIEW_TRIGGER) - if ReviewConst.CHANGE_WORDS[0] in review: - counter = 0 # redo the task again with help of human suggestions - - py_code = ( - code["code"] if code.get("language") == "python" else "" - ) # use python code as final code; for markdown, return the rendered result instead of the code itself - - return py_code, result, success - - async def _write_code(self): - todo = WriteCodeWithoutTools() if not self.use_tools else WriteCodeWithTools(selected_tools=self.tools) - logger.info(f"ready to {todo.name}") - - context = self.planner.get_useful_memories() - # print(*context, sep="\n***\n") - code = await todo.run(context=context, plan=self.planner.plan, temperature=0.0) - - return code, todo diff --git a/metagpt/roles/ci/ml_engineer.py b/metagpt/roles/ci/ml_engineer.py deleted file mode 100644 index f8bcb2c89..000000000 --- a/metagpt/roles/ci/ml_engineer.py +++ /dev/null @@ -1,64 +0,0 @@ -from metagpt.actions.ci.debug_code import DebugCode -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode -from metagpt.actions.ci.ml_action import UpdateDataColumns, WriteCodeWithToolsML -from metagpt.logs import logger -from metagpt.roles.ci.code_interpreter import CodeInterpreter -from metagpt.tools.tool_type import ToolType -from metagpt.utils.common import any_to_str - - -class MLEngineer(CodeInterpreter): - name: str = "Mark" - profile: str = "MLEngineer" - debug_context: list = [] - latest_code: str = "" - - async def _write_code(self): - if not self.use_tools: - return await super()._write_code() - - # In a trial and errors settings, check whether this is our first attempt to tackle the task. If there is no code execution before, then it is. - is_first_trial = any_to_str(ExecuteNbCode) not in [msg.cause_by for msg in self.working_memory.get()] - - if is_first_trial: - # For the first trial, write task code from scratch - column_info = await self._update_data_columns() - - logger.info("Write code with tools") - tool_context, code = await WriteCodeWithToolsML(selected_tools=self.tools).run( - context=[], # context assembled inside the Action - plan=self.planner.plan, - column_info=column_info, - ) - self.debug_context = tool_context - cause_by = WriteCodeWithToolsML - - else: - # Previous trials resulted in error, debug and rewrite the code - logger.warning("We got a bug, now start to debug...") - code = await DebugCode().run( - code=self.latest_code, - runtime_result=self.working_memory.get(), - context=self.debug_context, - ) - logger.info(f"new code \n{code}") - cause_by = DebugCode - - self.latest_code = code["code"] - - return code, cause_by - - async def _update_data_columns(self): - current_task = self.planner.plan.current_task - if current_task.task_type not in [ - ToolType.DATA_PREPROCESS.type_name, - ToolType.FEATURE_ENGINEERING.type_name, - ToolType.MODEL_TRAIN.type_name, - ]: - return "" - logger.info("Check columns in updated data") - code = await UpdateDataColumns().run(self.planner.plan) - success = False - result, success = await self.execute_code.run(**code) - print(result) - return result if success else "" diff --git a/metagpt/roles/di/__init__.py b/metagpt/roles/di/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/metagpt/roles/di/data_interpreter.py b/metagpt/roles/di/data_interpreter.py new file mode 100644 index 000000000..a8534b710 --- /dev/null +++ b/metagpt/roles/di/data_interpreter.py @@ -0,0 +1,184 @@ +from __future__ import annotations + +import json +from typing import Literal, Union + +from pydantic import Field, model_validator + +from metagpt.actions.di.ask_review import ReviewConst +from metagpt.actions.di.execute_nb_code import ExecuteNbCode +from metagpt.actions.di.write_analysis_code import CheckData, WriteAnalysisCode +from metagpt.logs import logger +from metagpt.prompts.di.write_analysis_code import DATA_INFO +from metagpt.roles import Role +from metagpt.schema import Message, Task, TaskResult +from metagpt.strategy.task_type import TaskType +from metagpt.tools.tool_recommend import BM25ToolRecommender, ToolRecommender +from metagpt.utils.common import CodeParser + +REACT_THINK_PROMPT = """ +# User Requirement +{user_requirement} +# Context +{context} + +Output a json following the format: +```json +{{ + "thoughts": str = "Thoughts on current situation, reflect on how you should proceed to fulfill the user requirement", + "state": bool = "Decide whether you need to take more actions to complete the user requirement. Return true if you think so. Return false if you think the requirement has been completely fulfilled." +}} +``` +""" + + +class DataInterpreter(Role): + name: str = "David" + profile: str = "DataInterpreter" + auto_run: bool = True + use_plan: bool = True + use_reflection: bool = False + execute_code: ExecuteNbCode = Field(default_factory=ExecuteNbCode, exclude=True) + tools: Union[str, list[str]] = [] # Use special symbol [""] to indicate use of all registered tools + tool_recommender: ToolRecommender = None + react_mode: Literal["plan_and_act", "react"] = "plan_and_act" + max_react_loop: int = 10 # used for react mode + + @model_validator(mode="after") + def set_plan_and_tool(self) -> "Interpreter": + self._set_react_mode(react_mode=self.react_mode, max_react_loop=self.max_react_loop, auto_run=self.auto_run) + self.use_plan = ( + self.react_mode == "plan_and_act" + ) # create a flag for convenience, overwrite any passed-in value + if self.tools: + self.tool_recommender = BM25ToolRecommender(tools=self.tools) + self.set_actions([WriteAnalysisCode]) + self._set_state(0) + return self + + @property + def working_memory(self): + return self.rc.working_memory + + async def _think(self) -> bool: + """Useful in 'react' mode. Use LLM to decide whether and what to do next.""" + user_requirement = self.get_memories()[0].content + context = self.working_memory.get() + + if not context: + # just started the run, we need action certainly + self.working_memory.add(self.get_memories()[0]) # add user requirement to working memory + self._set_state(0) + return True + + prompt = REACT_THINK_PROMPT.format(user_requirement=user_requirement, context=context) + rsp = await self.llm.aask(prompt) + rsp_dict = json.loads(CodeParser.parse_code(block=None, text=rsp)) + self.working_memory.add(Message(content=rsp_dict["thoughts"], role="assistant")) + need_action = rsp_dict["state"] + self._set_state(0) if need_action else self._set_state(-1) + + return need_action + + async def _act(self) -> Message: + """Useful in 'react' mode. Return a Message conforming to Role._act interface.""" + code, _, _ = await self._write_and_exec_code() + return Message(content=code, role="assistant", cause_by=WriteAnalysisCode) + + async def _plan_and_act(self) -> Message: + rsp = await super()._plan_and_act() + await self.execute_code.terminate() + return rsp + + async def _act_on_task(self, current_task: Task) -> TaskResult: + """Useful in 'plan_and_act' mode. Wrap the output in a TaskResult for review and confirmation.""" + code, result, is_success = await self._write_and_exec_code() + task_result = TaskResult(code=code, result=result, is_success=is_success) + return task_result + + async def _write_and_exec_code(self, max_retry: int = 3): + counter = 0 + success = False + + # plan info + plan_status = self.planner.get_plan_status() if self.use_plan else "" + + # tool info + if self.tools: + context = ( + self.working_memory.get()[-1].content if self.working_memory.get() else "" + ) # thoughts from _think stage in 'react' mode + plan = self.planner.plan if self.use_plan else None + tool_info = await self.tool_recommender.get_recommended_tool_info(context=context, plan=plan) + else: + tool_info = "" + + # data info + await self._check_data() + + while not success and counter < max_retry: + ### write code ### + code, cause_by = await self._write_code(counter, plan_status, tool_info) + + self.working_memory.add(Message(content=code, role="assistant", cause_by=cause_by)) + + ### execute code ### + result, success = await self.execute_code.run(code) + print(result) + + self.working_memory.add(Message(content=result, role="user", cause_by=ExecuteNbCode)) + + ### process execution result ### + counter += 1 + + if not success and counter >= max_retry: + logger.info("coding failed!") + review, _ = await self.planner.ask_review(auto_run=False, trigger=ReviewConst.CODE_REVIEW_TRIGGER) + if ReviewConst.CHANGE_WORDS[0] in review: + counter = 0 # redo the task again with help of human suggestions + + return code, result, success + + async def _write_code( + self, + counter: int, + plan_status: str = "", + tool_info: str = "", + ): + todo = self.rc.todo # todo is WriteAnalysisCode + logger.info(f"ready to {todo.name}") + use_reflection = counter > 0 and self.use_reflection # only use reflection after the first trial + + user_requirement = self.get_memories()[0].content + + code = await todo.run( + user_requirement=user_requirement, + plan_status=plan_status, + tool_info=tool_info, + working_memory=self.working_memory.get(), + use_reflection=use_reflection, + ) + + return code, todo + + async def _check_data(self): + if ( + not self.use_plan + or not self.planner.plan.get_finished_tasks() + or self.planner.plan.current_task.task_type + not in [ + TaskType.DATA_PREPROCESS.type_name, + TaskType.FEATURE_ENGINEERING.type_name, + TaskType.MODEL_TRAIN.type_name, + ] + ): + return + logger.info("Check updated data") + code = await CheckData().run(self.planner.plan) + if not code.strip(): + return + result, success = await self.execute_code.run(code) + if success: + print(result) + data_info = DATA_INFO.format(info=result) + self.working_memory.add(Message(content=data_info, role="user", cause_by=CheckData)) diff --git a/metagpt/roles/engineer.py b/metagpt/roles/engineer.py index 7037ca0b3..9d8f6884f 100644 --- a/metagpt/roles/engineer.py +++ b/metagpt/roles/engineer.py @@ -204,7 +204,6 @@ class Engineer(Role): async def _act_code_plan_and_change(self): """Write code plan and change that guides subsequent WriteCode and WriteCodeReview""" - logger.info("Writing code plan and change..") node = await self.rc.todo.run() code_plan_and_change = node.instruct_content.model_dump_json() dependencies = { @@ -241,8 +240,8 @@ class Engineer(Role): async def _think(self) -> Action | None: if not self.src_workspace: self.src_workspace = self.git_repo.workdir / self.git_repo.workdir.name - write_plan_and_change_filters = any_to_str_set([WriteTasks]) - write_code_filters = any_to_str_set([WriteTasks, WriteCodePlanAndChange, SummarizeCode, FixBug]) + write_plan_and_change_filters = any_to_str_set([WriteTasks, FixBug]) + write_code_filters = any_to_str_set([WriteTasks, WriteCodePlanAndChange, SummarizeCode]) summarize_code_filters = any_to_str_set([WriteCode, WriteCodeReview]) if not self.rc.news: return None @@ -360,9 +359,17 @@ class Engineer(Role): summarizations[ctx].append(filename) for ctx, filenames in summarizations.items(): ctx.codes_filenames = filenames - self.summarize_todos.append(SummarizeCode(i_context=ctx, context=self.context, llm=self.llm)) + new_summarize = SummarizeCode(i_context=ctx, context=self.context, llm=self.llm) + for i, act in enumerate(self.summarize_todos): + if act.i_context.task_filename == new_summarize.i_context.task_filename: + self.summarize_todos[i] = new_summarize + new_summarize = None + break + if new_summarize: + self.summarize_todos.append(new_summarize) if self.summarize_todos: self.set_todo(self.summarize_todos[0]) + self.summarize_todos.pop(0) async def _new_code_plan_and_change_action(self): """Create a WriteCodePlanAndChange action for subsequent to-do actions.""" diff --git a/metagpt/roles/role.py b/metagpt/roles/role.py index 3938664ba..e0f8a7ea6 100644 --- a/metagpt/roles/role.py +++ b/metagpt/roles/role.py @@ -108,12 +108,6 @@ class RoleContext(BaseModel): ) # see `Role._set_react_mode` for definitions of the following two attributes max_react_loop: int = 1 - def check(self, role_id: str): - # if hasattr(CONFIG, "enable_longterm_memory") and CONFIG.enable_longterm_memory: - # self.long_term_memory.recover_memory(role_id, self) - # self.memory = self.long_term_memory # use memory to act as long_term_memory for unify operation - pass - @property def important_memory(self) -> list[Message]: """Retrieve information corresponding to the attention action.""" @@ -175,6 +169,7 @@ class Role(SerializationMixin, ContextMixin, BaseModel): self._check_actions() self.llm.system_prompt = self._get_prefix() + self.llm.cost_manager = self.context.cost_manager self._watch(kwargs.pop("watch", [UserRequirement])) if self.latest_observed_msg: @@ -281,9 +276,9 @@ class Role(SerializationMixin, ContextMixin, BaseModel): i = action self._init_action(i) self.actions.append(i) - self.states.append(f"{len(self.actions)}. {action}") + self.states.append(f"{len(self.actions) - 1}. {action}") - def _set_react_mode(self, react_mode: str, max_react_loop: int = 1, auto_run: bool = True, use_tools: bool = False): + def _set_react_mode(self, react_mode: str, max_react_loop: int = 1, auto_run: bool = True): """Set strategy of the Role reacting to observed Message. Variation lies in how this Role elects action to perform during the _think stage, especially if it is capable of multiple Actions. @@ -304,17 +299,13 @@ class Role(SerializationMixin, ContextMixin, BaseModel): if react_mode == RoleReactMode.REACT: self.rc.max_react_loop = max_react_loop elif react_mode == RoleReactMode.PLAN_AND_ACT: - self.planner = Planner( - goal=self.goal, working_memory=self.rc.working_memory, auto_run=auto_run, use_tools=use_tools - ) + self.planner = Planner(goal=self.goal, working_memory=self.rc.working_memory, auto_run=auto_run) def _watch(self, actions: Iterable[Type[Action]] | Iterable[Action]): """Watch Actions of interest. Role will select Messages caused by these Actions from its personal message buffer during _observe. """ self.rc.watch = {any_to_str(t) for t in actions} - # check RoleContext after adding watch actions - self.rc.check(self.role_id) def is_watch(self, caused_by: str): return caused_by in self.rc.watch @@ -341,6 +332,7 @@ class Role(SerializationMixin, ContextMixin, BaseModel): if env: env.set_addresses(self, self.addresses) self.llm.system_prompt = self._get_prefix() + self.llm.cost_manager = self.context.cost_manager self.set_actions(self.actions) # reset actions to update llm and prefix def _get_prefix(self): diff --git a/metagpt/roles/sales.py b/metagpt/roles/sales.py index bc449b5cd..e5cb12778 100644 --- a/metagpt/roles/sales.py +++ b/metagpt/roles/sales.py @@ -11,7 +11,6 @@ from typing import Optional from pydantic import Field, model_validator from metagpt.actions import SearchAndSummarize, UserRequirement -from metagpt.document_store.base_store import BaseStore from metagpt.roles import Role from metagpt.tools.search_engine import SearchEngine @@ -27,7 +26,7 @@ class Sales(Role): "delivered with the professionalism and courtesy expected of a seasoned sales guide." ) - store: Optional[BaseStore] = Field(default=None, exclude=True) + store: Optional[object] = Field(default=None, exclude=True) # must inplement tools.SearchInterface @model_validator(mode="after") def validate_stroe(self): diff --git a/metagpt/schema.py b/metagpt/schema.py index 7bbb567b9..45c7480f9 100644 --- a/metagpt/schema.py +++ b/metagpt/schema.py @@ -46,6 +46,7 @@ from metagpt.const import ( TASK_FILE_REPO, ) from metagpt.logs import logger +from metagpt.repo_parser import DotClassInfo from metagpt.utils.common import any_to_str, any_to_str_set, import_class from metagpt.utils.exceptions import handle_exception from metagpt.utils.serialize import ( @@ -232,6 +233,10 @@ class Message(BaseModel): def check_send_to(cls, send_to: Any) -> set: return any_to_str_set(send_to if send_to else {MESSAGE_ROUTE_TO_ALL}) + @field_serializer("send_to", mode="plain") + def ser_send_to(self, send_to: set) -> list: + return list(send_to) + @field_serializer("instruct_content", mode="plain") def ser_instruct_content(self, ic: BaseModel) -> Union[dict, None]: ic_dict = None @@ -275,6 +280,10 @@ class Message(BaseModel): def __repr__(self): return self.__str__() + def rag_key(self) -> str: + """For search""" + return self.content + def to_dict(self) -> dict: """Return a dict containing `role` and `content` for the LLM call.l""" return {"role": self.role, "content": self.content} @@ -690,54 +699,64 @@ class CodePlanAndChangeContext(BaseModel): # mermaid class view -class ClassMeta(BaseModel): +class UMLClassMeta(BaseModel): name: str = "" - abstraction: bool = False - static: bool = False visibility: str = "" + @staticmethod + def name_to_visibility(name: str) -> str: + if name == "__init__": + return "+" + if name.startswith("__"): + return "-" + elif name.startswith("_"): + return "#" + return "+" -class ClassAttribute(ClassMeta): + +class UMLClassAttribute(UMLClassMeta): value_type: str = "" default_value: str = "" def get_mermaid(self, align=1) -> str: content = "".join(["\t" for i in range(align)]) + self.visibility if self.value_type: - content += self.value_type + " " - content += self.name + content += self.value_type.replace(" ", "") + " " + name = self.name.split(":", 1)[1] if ":" in self.name else self.name + content += name if self.default_value: content += "=" if self.value_type not in ["str", "string", "String"]: content += self.default_value else: content += '"' + self.default_value.replace('"', "") + '"' - if self.abstraction: - content += "*" - if self.static: - content += "$" + # if self.abstraction: + # content += "*" + # if self.static: + # content += "$" return content -class ClassMethod(ClassMeta): - args: List[ClassAttribute] = Field(default_factory=list) +class UMLClassMethod(UMLClassMeta): + args: List[UMLClassAttribute] = Field(default_factory=list) return_type: str = "" def get_mermaid(self, align=1) -> str: content = "".join(["\t" for i in range(align)]) + self.visibility - content += self.name + "(" + ",".join([v.get_mermaid(align=0) for v in self.args]) + ")" + name = self.name.split(":", 1)[1] if ":" in self.name else self.name + content += name + "(" + ",".join([v.get_mermaid(align=0) for v in self.args]) + ")" if self.return_type: - content += ":" + self.return_type - if self.abstraction: - content += "*" - if self.static: - content += "$" + content += " " + self.return_type.replace(" ", "") + # if self.abstraction: + # content += "*" + # if self.static: + # content += "$" return content -class ClassView(ClassMeta): - attributes: List[ClassAttribute] = Field(default_factory=list) - methods: List[ClassMethod] = Field(default_factory=list) +class UMLClassView(UMLClassMeta): + attributes: List[UMLClassAttribute] = Field(default_factory=list) + methods: List[UMLClassMethod] = Field(default_factory=list) def get_mermaid(self, align=1) -> str: content = "".join(["\t" for i in range(align)]) + "class " + self.name + "{\n" @@ -747,3 +766,21 @@ class ClassView(ClassMeta): content += v.get_mermaid(align=align + 1) + "\n" content += "".join(["\t" for i in range(align)]) + "}\n" return content + + @classmethod + def load_dot_class_info(cls, dot_class_info: DotClassInfo) -> UMLClassView: + visibility = UMLClassView.name_to_visibility(dot_class_info.name) + class_view = cls(name=dot_class_info.name, visibility=visibility) + for i in dot_class_info.attributes.values(): + visibility = UMLClassAttribute.name_to_visibility(i.name) + attr = UMLClassAttribute(name=i.name, visibility=visibility, value_type=i.type_, default_value=i.default_) + class_view.attributes.append(attr) + for i in dot_class_info.methods.values(): + visibility = UMLClassMethod.name_to_visibility(i.name) + method = UMLClassMethod(name=i.name, visibility=visibility, return_type=i.return_args.type_) + for j in i.args: + arg = UMLClassAttribute(name=j.name, value_type=j.type_, default_value=j.default_) + method.args.append(arg) + method.return_type = i.return_args.type_ + class_view.methods.append(method) + return class_view diff --git a/metagpt/software_company.py b/metagpt/software_company.py index 26bb29cd1..f290d497a 100644 --- a/metagpt/software_company.py +++ b/metagpt/software_company.py @@ -2,14 +2,11 @@ # -*- coding: utf-8 -*- import asyncio -import shutil from pathlib import Path import typer -from metagpt.config2 import config -from metagpt.const import CONFIG_ROOT, METAGPT_ROOT -from metagpt.context import Context +from metagpt.const import CONFIG_ROOT from metagpt.utils.project_repo import ProjectRepo app = typer.Typer(add_completion=False, pretty_exceptions_show_locals=False) @@ -30,6 +27,8 @@ def generate_repo( recover_path=None, ) -> ProjectRepo: """Run the startup logic. Can be called from CLI or other Python scripts.""" + from metagpt.config2 import config + from metagpt.context import Context from metagpt.roles import ( Architect, Engineer, @@ -122,7 +121,17 @@ def startup( ) -def copy_config_to(config_path=METAGPT_ROOT / "config" / "config2.yaml"): +DEFAULT_CONFIG = """# Full Example: https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml +# Reflected Code: https://github.com/geekan/MetaGPT/blob/main/metagpt/config2.py +llm: + api_type: "openai" # or azure / ollama / open_llm etc. Check LLMType for more options + model: "gpt-4-turbo-preview" # or gpt-3.5-turbo-1106 / gpt-4-1106-preview + base_url: "https://api.openai.com/v1" # or forward url / other llm url + api_key: "YOUR_API_KEY" +""" + + +def copy_config_to(): """Initialize the configuration file for MetaGPT.""" target_path = CONFIG_ROOT / "config2.yaml" @@ -136,7 +145,7 @@ def copy_config_to(config_path=METAGPT_ROOT / "config" / "config2.yaml"): print(f"Existing configuration file backed up at {backup_path}") # 复制文件 - shutil.copy(str(config_path), target_path) + target_path.write_text(DEFAULT_CONFIG, encoding="utf-8") print(f"Configuration file initialized at {target_path}") diff --git a/metagpt/startup.py b/metagpt/startup.py new file mode 100644 index 000000000..bb6f6abf2 --- /dev/null +++ b/metagpt/startup.py @@ -0,0 +1,10 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2024/3/11 19:16 +@Author : alexanderwu +@File : startup.py +""" + +# DEPRECATED: This file is deprecated and will be removed in the future. +# The startup.py implementation has been moved to software_company.py diff --git a/metagpt/strategy/planner.py b/metagpt/strategy/planner.py index fd635df39..fbf784837 100644 --- a/metagpt/strategy/planner.py +++ b/metagpt/strategy/planner.py @@ -4,8 +4,8 @@ import json from pydantic import BaseModel, Field -from metagpt.actions.ci.ask_review import AskReview, ReviewConst -from metagpt.actions.ci.write_plan import ( +from metagpt.actions.di.ask_review import AskReview, ReviewConst +from metagpt.actions.di.write_plan import ( WritePlan, precheck_update_plan_from_rsp, update_plan_from_rsp, @@ -13,6 +13,8 @@ from metagpt.actions.ci.write_plan import ( from metagpt.logs import logger from metagpt.memory import Memory from metagpt.schema import Message, Plan, Task, TaskResult +from metagpt.strategy.task_type import TaskType +from metagpt.utils.common import remove_comments STRUCTURAL_CONTEXT = """ ## User Requirement @@ -25,6 +27,24 @@ STRUCTURAL_CONTEXT = """ {current_task} """ +PLAN_STATUS = """ +## Finished Tasks +### code +```python +{code_written} +``` + +### execution result +{task_results} + +## Current Task +{current_task} + +## Task Guidance +Write complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc. +Specifically, {guidance} +""" + class Planner(BaseModel): plan: Plan @@ -32,7 +52,6 @@ class Planner(BaseModel): default_factory=Memory ) # memory for working on each task, discarded each time a task is done auto_run: bool = False - use_tools: bool = False def __init__(self, goal: str = "", plan: Plan = None, **kwargs): plan = plan or Plan(goal=goal) @@ -53,7 +72,7 @@ class Planner(BaseModel): plan_confirmed = False while not plan_confirmed: context = self.get_useful_memories() - rsp = await WritePlan().run(context, max_tasks=max_tasks, use_tools=self.use_tools) + rsp = await WritePlan().run(context, max_tasks=max_tasks) self.working_memory.add(Message(content=rsp, role="assistant", cause_by=WritePlan)) # precheck plan before asking reviews @@ -122,7 +141,7 @@ class Planner(BaseModel): ) # "confirm, ... (more content, such as changing downstream tasks)" if confirmed_and_more: self.working_memory.add(Message(content=review, role="user", cause_by=AskReview)) - await self.update_plan(review) + await self.update_plan() def get_useful_memories(self, task_exclude_field=None) -> list[Message]: """find useful memories only to reduce context length and improve performance""" @@ -137,3 +156,24 @@ class Planner(BaseModel): context_msg = [Message(content=context, role="user")] return context_msg + self.working_memory.get() + + def get_plan_status(self) -> str: + # prepare components of a plan status + finished_tasks = self.plan.get_finished_tasks() + code_written = [remove_comments(task.code) for task in finished_tasks] + code_written = "\n\n".join(code_written) + task_results = [task.result for task in finished_tasks] + task_results = "\n\n".join(task_results) + task_type_name = self.current_task.task_type + task_type = TaskType.get_type(task_type_name) + guidance = task_type.guidance if task_type else "" + + # combine components in a prompt + prompt = PLAN_STATUS.format( + code_written=code_written, + task_results=task_results, + current_task=self.current_task.instruction, + guidance=guidance, + ) + + return prompt diff --git a/metagpt/strategy/solver.py b/metagpt/strategy/solver.py index e7d61a881..e532f736b 100644 --- a/metagpt/strategy/solver.py +++ b/metagpt/strategy/solver.py @@ -49,8 +49,8 @@ class TOTSolver(BaseSolver): raise NotImplementedError -class CodeInterpreterSolver(BaseSolver): - """CodeInterpreterSolver: Write&Run code in the graph""" +class DataInterpreterSolver(BaseSolver): + """DataInterpreterSolver: Write&Run code in the graph""" async def solve(self): raise NotImplementedError diff --git a/metagpt/strategy/task_type.py b/metagpt/strategy/task_type.py new file mode 100644 index 000000000..d21705c16 --- /dev/null +++ b/metagpt/strategy/task_type.py @@ -0,0 +1,80 @@ +from enum import Enum + +from pydantic import BaseModel + +from metagpt.prompts.task_type import ( + DATA_PREPROCESS_PROMPT, + EDA_PROMPT, + FEATURE_ENGINEERING_PROMPT, + IMAGE2WEBPAGE_PROMPT, + MODEL_EVALUATE_PROMPT, + MODEL_TRAIN_PROMPT, +) + + +class TaskTypeDef(BaseModel): + name: str + desc: str = "" + guidance: str = "" + + +class TaskType(Enum): + """By identifying specific types of tasks, we can inject human priors (guidance) to help task solving""" + + EDA = TaskTypeDef( + name="eda", + desc="For performing exploratory data analysis", + guidance=EDA_PROMPT, + ) + DATA_PREPROCESS = TaskTypeDef( + name="data preprocessing", + desc="For preprocessing dataset in a data analysis or machine learning task ONLY," + "general data operation doesn't fall into this type", + guidance=DATA_PREPROCESS_PROMPT, + ) + FEATURE_ENGINEERING = TaskTypeDef( + name="feature engineering", + desc="Only for creating new columns for input data.", + guidance=FEATURE_ENGINEERING_PROMPT, + ) + MODEL_TRAIN = TaskTypeDef( + name="model train", + desc="Only for training model.", + guidance=MODEL_TRAIN_PROMPT, + ) + MODEL_EVALUATE = TaskTypeDef( + name="model evaluate", + desc="Only for evaluating model.", + guidance=MODEL_EVALUATE_PROMPT, + ) + IMAGE2WEBPAGE = TaskTypeDef( + name="image2webpage", + desc="For converting image into webpage code.", + guidance=IMAGE2WEBPAGE_PROMPT, + ) + OTHER = TaskTypeDef(name="other", desc="Any tasks not in the defined categories") + + # Legacy TaskType to support tool recommendation using type match. You don't need to define task types if you have no human priors to inject. + TEXT2IMAGE = TaskTypeDef( + name="text2image", + desc="Related to text2image, image2image using stable diffusion model.", + ) + WEBSCRAPING = TaskTypeDef( + name="web scraping", + desc="For scraping data from web pages.", + ) + EMAIL_LOGIN = TaskTypeDef( + name="email login", + desc="For logging to an email.", + ) + + @property + def type_name(self): + return self.value.name + + @classmethod + def get_type(cls, type_name): + for member in cls: + if member.type_name == type_name: + return member.value + return None diff --git a/metagpt/tools/__init__.py b/metagpt/tools/__init__.py index c1f604df9..8d265e9f3 100644 --- a/metagpt/tools/__init__.py +++ b/metagpt/tools/__init__.py @@ -30,3 +30,8 @@ class WebBrowserEngineType(Enum): def __missing__(cls, key): """Default type conversion""" return cls.CUSTOM + + +class SearchInterface: + async def asearch(self, *args, **kwargs): + ... diff --git a/metagpt/tools/libs/__init__.py b/metagpt/tools/libs/__init__.py index c9767c1e5..91596fd3d 100644 --- a/metagpt/tools/libs/__init__.py +++ b/metagpt/tools/libs/__init__.py @@ -10,6 +10,14 @@ from metagpt.tools.libs import ( sd_engine, gpt_v_generator, web_scraping, + email_login, ) -_ = data_preprocess, feature_engineering, sd_engine, gpt_v_generator, web_scraping # Avoid pre-commit error +_ = ( + data_preprocess, + feature_engineering, + sd_engine, + gpt_v_generator, + web_scraping, + email_login, +) # Avoid pre-commit error diff --git a/metagpt/tools/libs/data_preprocess.py b/metagpt/tools/libs/data_preprocess.py index 7a3d019bf..aa9070689 100644 --- a/metagpt/tools/libs/data_preprocess.py +++ b/metagpt/tools/libs/data_preprocess.py @@ -1,6 +1,7 @@ from __future__ import annotations import json +from typing import Literal import numpy as np import pandas as pd @@ -16,9 +17,8 @@ from sklearn.preprocessing import ( ) from metagpt.tools.tool_registry import register_tool -from metagpt.tools.tool_type import ToolType -TOOL_TYPE = ToolType.DATA_PREPROCESS.type_name +TAGS = ["data preprocessing", "machine learning"] class MLProcess: @@ -85,20 +85,22 @@ class DataPreprocessTool(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class FillMissingValue(DataPreprocessTool): """ Completing missing values with simple strategies. """ - def __init__(self, features: list, strategy: str = "mean", fill_value=None): + def __init__( + self, features: list, strategy: Literal["mean", "median", "most_frequent", "constant"] = "mean", fill_value=None + ): """ Initialize self. Args: features (list): Columns to be processed. - strategy (str, optional): The imputation strategy, notice 'mean' and 'median' can only - be used for numeric features. Enum: ['mean', 'median', 'most_frequent', 'constant']. Defaults to 'mean'. + strategy (Literal["mean", "median", "most_frequent", "constant"], optional): The imputation strategy, notice 'mean' and 'median' can only + be used for numeric features. Defaults to 'mean'. fill_value (int, optional): Fill_value is used to replace all occurrences of missing_values. Defaults to None. """ @@ -106,7 +108,7 @@ class FillMissingValue(DataPreprocessTool): self.model = SimpleImputer(strategy=strategy, fill_value=fill_value) -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class MinMaxScale(DataPreprocessTool): """ Transform features by scaling each feature to a range, which is (0, 1). @@ -117,7 +119,7 @@ class MinMaxScale(DataPreprocessTool): self.model = MinMaxScaler() -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class StandardScale(DataPreprocessTool): """ Standardize features by removing the mean and scaling to unit variance. @@ -128,7 +130,7 @@ class StandardScale(DataPreprocessTool): self.model = StandardScaler() -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class MaxAbsScale(DataPreprocessTool): """ Scale each feature by its maximum absolute value. @@ -139,7 +141,7 @@ class MaxAbsScale(DataPreprocessTool): self.model = MaxAbsScaler() -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class RobustScale(DataPreprocessTool): """ Apply the RobustScaler to scale features using statistics that are robust to outliers. @@ -150,7 +152,7 @@ class RobustScale(DataPreprocessTool): self.model = RobustScaler() -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class OrdinalEncode(DataPreprocessTool): """ Encode categorical features as ordinal integers. @@ -161,7 +163,7 @@ class OrdinalEncode(DataPreprocessTool): self.model = OrdinalEncoder() -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class OneHotEncode(DataPreprocessTool): """ Apply one-hot encoding to specified categorical columns, the original columns will be dropped. @@ -180,7 +182,7 @@ class OneHotEncode(DataPreprocessTool): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class LabelEncode(DataPreprocessTool): """ Apply label encoding to specified categorical columns in-place. diff --git a/metagpt/tools/libs/email_login.py b/metagpt/tools/libs/email_login.py new file mode 100644 index 000000000..32626ac55 --- /dev/null +++ b/metagpt/tools/libs/email_login.py @@ -0,0 +1,49 @@ +from imap_tools import MailBox + +from metagpt.tools.tool_registry import register_tool + +# Define a dictionary mapping email domains to their IMAP server addresses +IMAP_SERVERS = { + "outlook.com": "imap-mail.outlook.com", # Outlook + "163.com": "imap.163.com", # 163 Mail + "qq.com": "imap.qq.com", # QQ Mail + "gmail.com": "imap.gmail.com", # Gmail + "yahoo.com": "imap.mail.yahoo.com", # Yahoo Mail + "icloud.com": "imap.mail.me.com", # iCloud Mail + "hotmail.com": "imap-mail.outlook.com", # Hotmail (同 Outlook) + "live.com": "imap-mail.outlook.com", # Live (同 Outlook) + "sina.com": "imap.sina.com", # Sina Mail + "sohu.com": "imap.sohu.com", # Sohu Mail + "yahoo.co.jp": "imap.mail.yahoo.co.jp", # Yahoo Mail Japan + "yandex.com": "imap.yandex.com", # Yandex Mail + "mail.ru": "imap.mail.ru", # Mail.ru + "aol.com": "imap.aol.com", # AOL Mail + "gmx.com": "imap.gmx.com", # GMX Mail + "zoho.com": "imap.zoho.com", # Zoho Mail +} + + +@register_tool(tags=["email login"]) +def email_login_imap(email_address, email_password): + """ + Use imap_tools package to log in to your email (the email that supports IMAP protocol) to verify and return the account object. + + Args: + email_address (str): Email address that needs to be logged in and linked. + email_password (str): Password for the email address that needs to be logged in and linked. + + Returns: + object: The imap_tools's MailBox object returned after successfully connecting to the mailbox through imap_tools, including various information about this account (email, etc.), or None if login fails. + """ + + # Extract the domain from the email address + domain = email_address.split("@")[-1] + + # Determine the correct IMAP server + imap_server = IMAP_SERVERS.get(domain) + + assert imap_server, f"IMAP server for {domain} not found." + + # Attempt to log in to the email account + mailbox = MailBox(imap_server).login(email_address, email_password) + return mailbox diff --git a/metagpt/tools/libs/feature_engineering.py b/metagpt/tools/libs/feature_engineering.py index 40bfb2fc7..3013e1594 100644 --- a/metagpt/tools/libs/feature_engineering.py +++ b/metagpt/tools/libs/feature_engineering.py @@ -19,12 +19,11 @@ from sklearn.preprocessing import KBinsDiscretizer, PolynomialFeatures from metagpt.tools.libs.data_preprocess import MLProcess from metagpt.tools.tool_registry import register_tool -from metagpt.tools.tool_type import ToolType -TOOL_TYPE = ToolType.FEATURE_ENGINEERING.type_name +TAGS = ["feature engineering", "machine learning"] -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class PolynomialExpansion(MLProcess): """ Add polynomial and interaction features from selected numeric columns to input DataFrame. @@ -67,7 +66,7 @@ class PolynomialExpansion(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class CatCount(MLProcess): """ Add value counts of a categorical column as new feature. @@ -92,7 +91,7 @@ class CatCount(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class TargetMeanEncoder(MLProcess): """ Encode a categorical column by the mean of the label column, and adds the result as a new feature. @@ -119,7 +118,7 @@ class TargetMeanEncoder(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class KFoldTargetMeanEncoder(MLProcess): """ Add a new feature to the DataFrame by k-fold mean encoding of a categorical column using the label column. @@ -159,7 +158,7 @@ class KFoldTargetMeanEncoder(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class CatCross(MLProcess): """ Add pairwise crossed features and convert them to numerical features. @@ -216,7 +215,7 @@ class CatCross(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class GroupStat(MLProcess): """ Aggregate specified column in a DataFrame grouped by another column, adding new features named '__by_'. @@ -248,7 +247,7 @@ class GroupStat(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class SplitBins(MLProcess): """ Inplace binning of continuous data into intervals, returning integer-encoded bin identifiers directly. @@ -276,7 +275,7 @@ class SplitBins(MLProcess): return new_df -# @register_tool(tool_type=TOOL_TYPE) +# @register_tool(tags=TAGS) class ExtractTimeComps(MLProcess): """ Extract time components from a datetime column and add them as new features. @@ -316,7 +315,7 @@ class ExtractTimeComps(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class GeneralSelection(MLProcess): """ Drop all nan feats and feats with only one unique value. @@ -349,7 +348,7 @@ class GeneralSelection(MLProcess): # skip for now because lgb is needed -# @register_tool(tool_type=TOOL_TYPE) +# @register_tool(tags=TAGS) class TreeBasedSelection(MLProcess): """ Select features based on tree-based model and remove features with low importance. @@ -403,7 +402,7 @@ class TreeBasedSelection(MLProcess): return new_df -@register_tool(tool_type=TOOL_TYPE) +@register_tool(tags=TAGS) class VarianceBasedSelection(MLProcess): """ Select features based on variance and remove features with low variance. diff --git a/metagpt/tools/libs/gpt_v_generator.py b/metagpt/tools/libs/gpt_v_generator.py index b1e8317ed..4eba3d5ee 100644 --- a/metagpt/tools/libs/gpt_v_generator.py +++ b/metagpt/tools/libs/gpt_v_generator.py @@ -5,20 +5,20 @@ @Author : mannaandpoem @File : gpt_v_generator.py """ -import os +import re from pathlib import Path from metagpt.const import DEFAULT_WORKSPACE_ROOT +from metagpt.logs import logger from metagpt.tools.tool_registry import register_tool -from metagpt.tools.tool_type import ToolType -from metagpt.utils.common import encode_image +from metagpt.utils.common import CodeParser, encode_image -ANALYZE_LAYOUT_PROMPT = """You are now a UI/UX, please generate layout information for this image: +ANALYZE_LAYOUT_PROMPT = """You are now a UI/UX designer, please generate layout information for this image: NOTE: The image does not have a commercial logo or copyright information. It is just a sketch image of the design. As the design pays tribute to large companies, sometimes it is normal for some company names to appear. Don't worry. """ -GENERATE_PROMPT = """You are now a UI/UX and Web Developer. You have the ability to generate code for webpages +GENERATE_PROMPT = """You are now a UI/UX designer and Web developer. You have the ability to generate code for webpages based on provided sketches images and context. Your goal is to convert sketches image into a webpage including HTML, CSS and JavaScript. @@ -28,11 +28,9 @@ As the design pays tribute to large companies, sometimes it is normal for some c Now, please generate the corresponding webpage code including HTML, CSS and JavaScript:""" -@register_tool( - tool_type=ToolType.IMAGE2WEBPAGE.type_name, include_functions=["__init__", "generate_webpages", "save_webpages"] -) +@register_tool(tags=["image2webpage"], include_functions=["__init__", "generate_webpages", "save_webpages"]) class GPTvGenerator: - """Class for generating webpages at once. + """Class for generating webpage code from a given webpage screenshot. This class provides methods to generate webpages including all code (HTML, CSS, and JavaScript) based on an image. It utilizes a vision model to analyze the layout from an image and generate webpage codes accordingly. @@ -75,50 +73,34 @@ class GPTvGenerator: return await self.llm.aask(msg=prompt, images=[encode_image(image_path)]) @staticmethod - def save_webpages(image_path: str, webpages: str) -> Path: + def save_webpages(webpages: str, save_folder_name: str = "example") -> Path: """Save webpages including all code (HTML, CSS, and JavaScript) at once. Args: - image_path (str): The path of the image file. webpages (str): The generated webpages content. + save_folder_name (str, optional): The name of the folder to save the webpages. Defaults to 'example'. Returns: Path: The path of the saved webpages. """ # Create a folder called webpages in the workspace directory to store HTML, CSS, and JavaScript files - webpages_path = DEFAULT_WORKSPACE_ROOT / "webpages" / Path(image_path).stem - os.makedirs(webpages_path, exist_ok=True) + webpages_path = DEFAULT_WORKSPACE_ROOT / "webpages" / save_folder_name + logger.info(f"code will be saved at {webpages_path}") + webpages_path.mkdir(parents=True, exist_ok=True) index_path = webpages_path / "index.html" - try: - index = webpages.split("```html")[1].split("```")[0] - style_path = None - if "styles.css" in index: - style_path = webpages_path / "styles.css" - elif "style.css" in index: - style_path = webpages_path / "style.css" - style = webpages.split("```css")[1].split("```")[0] if style_path else "" + index_path.write_text(CodeParser.parse_code(block=None, text=webpages, lang="html")) - js_path = None - if "scripts.js" in index: - js_path = webpages_path / "scripts.js" - elif "script.js" in index: - js_path = webpages_path / "script.js" + extract_and_save_code(folder=webpages_path, text=webpages, pattern="styles?.css", language="css") - js = webpages.split("```javascript")[1].split("```")[0] if js_path else "" - except IndexError: - raise ValueError(f"No html or css or js code found in the result. \nWebpages: {webpages}") - - try: - with open(index_path, "w", encoding="utf-8") as f: - f.write(index) - if style_path: - with open(style_path, "w", encoding="utf-8") as f: - f.write(style) - if js_path: - with open(js_path, "w", encoding="utf-8") as f: - f.write(js) - except FileNotFoundError as e: - raise FileNotFoundError(f"Cannot save the webpages to {str(webpages_path)}") from e + extract_and_save_code(folder=webpages_path, text=webpages, pattern="scripts?.js", language="javascript") return webpages_path + + +def extract_and_save_code(folder, text, pattern, language): + word = re.search(pattern, text) + if word: + path = folder / word.group(0) + code = CodeParser.parse_code(block=None, text=text, lang=language) + path.write_text(code, encoding="utf-8") diff --git a/metagpt/tools/libs/sd_engine.py b/metagpt/tools/libs/sd_engine.py index 347f4a430..b62e39db8 100644 --- a/metagpt/tools/libs/sd_engine.py +++ b/metagpt/tools/libs/sd_engine.py @@ -14,11 +14,9 @@ import requests from aiohttp import ClientSession from PIL import Image, PngImagePlugin -# from metagpt.const import SD_OUTPUT_FILE_REPO, SOURCE_ROOT from metagpt.logs import logger from metagpt.tools.tool_registry import register_tool -from metagpt.tools.tool_type import ToolType payload = { "prompt": "", @@ -55,7 +53,7 @@ default_negative_prompt = "(easynegative:0.8),black, dark,Low resolution" @register_tool( - tool_type=ToolType.STABLE_DIFFUSION.type_name, + tags=["text2image", "multimodal"], include_functions=["__init__", "simple_run_t2i", "run_t2i", "construct_payload", "save"], ) class SDEngine: diff --git a/metagpt/tools/libs/web_scraping.py b/metagpt/tools/libs/web_scraping.py index d01e69d09..bc34b1306 100644 --- a/metagpt/tools/libs/web_scraping.py +++ b/metagpt/tools/libs/web_scraping.py @@ -1,9 +1,8 @@ from metagpt.tools.tool_registry import register_tool -from metagpt.tools.tool_type import ToolType from metagpt.tools.web_browser_engine_playwright import PlaywrightWrapper -@register_tool(tool_type=ToolType.WEBSCRAPING.type_name) +@register_tool(tags=["web scraping", "web"]) async def scrape_web_playwright(url): """ Asynchronously Scrape and save the HTML structure and inner text content of a web page using Playwright. diff --git a/metagpt/tools/tool_convert.py b/metagpt/tools/tool_convert.py index fc29d0693..42c65b9e7 100644 --- a/metagpt/tools/tool_convert.py +++ b/metagpt/tools/tool_convert.py @@ -2,14 +2,18 @@ import inspect from metagpt.utils.parse_docstring import GoogleDocstringParser, remove_spaces +PARSER = GoogleDocstringParser -def convert_code_to_tool_schema(obj, include: list[str] = []): + +def convert_code_to_tool_schema(obj, include: list[str] = None): docstring = inspect.getdoc(obj) assert docstring, "no docstring found for the objects, skip registering" if inspect.isclass(obj): schema = {"type": "class", "description": remove_spaces(docstring), "methods": {}} for name, method in inspect.getmembers(obj, inspect.isfunction): + if name.startswith("_") and name != "__init__": # skip private methodss + continue if include and name not in include: continue # method_doc = inspect.getdoc(method) @@ -23,54 +27,31 @@ def convert_code_to_tool_schema(obj, include: list[str] = []): return schema -def function_docstring_to_schema(fn_obj, docstring): +def function_docstring_to_schema(fn_obj, docstring) -> dict: + """ + Converts a function's docstring into a schema dictionary. + + Args: + fn_obj: The function object. + docstring: The docstring of the function. + + Returns: + A dictionary representing the schema of the function's docstring. + The dictionary contains the following keys: + - 'type': The type of the function ('function' or 'async_function'). + - 'description': The first section of the docstring describing the function overall. Provided to LLMs for both recommending and using the function. + - 'signature': The signature of the function, which helps LLMs understand how to call the function. + - 'parameters': Docstring section describing parameters including args and returns, served as extra details for LLM perception. + """ + signature = inspect.signature(fn_obj) + + docstring = remove_spaces(docstring) + + overall_desc, param_desc = PARSER.parse(docstring) + function_type = "function" if not inspect.iscoroutinefunction(fn_obj) else "async_function" - return {"type": function_type, **docstring_to_schema(docstring)} - -def docstring_to_schema(docstring: str): - if docstring is None: - return {} - - parser = GoogleDocstringParser(docstring=docstring) - - # 匹配简介部分 - description = parser.parse_desc() - - # 匹配Args部分 - params = parser.parse_params() - parameter_schema = {"properties": {}, "required": []} - for param in params: - param_name, param_type, param_desc = param - # check required or optional - is_optional, param_type = parser.check_and_parse_optional(param_type) - if not is_optional: - parameter_schema["required"].append(param_name) - # type and desc - param_dict = {"type": param_type, "description": remove_spaces(param_desc)} - # match Default for optional args - has_default_val, default_val = parser.check_and_parse_default_value(param_desc) - if has_default_val: - param_dict["default"] = default_val - # match Enum - has_enum, enum_vals = parser.check_and_parse_enum(param_desc) - if has_enum: - param_dict["enum"] = enum_vals - # add to parameter schema - parameter_schema["properties"].update({param_name: param_dict}) - - # 匹配Returns部分 - returns = parser.parse_returns() - - # 构建YAML字典 - schema = { - "description": description, - "parameters": parameter_schema, - } - if returns: - schema["returns"] = [{"type": ret[0], "description": remove_spaces(ret[1])} for ret in returns] - - return schema + return {"type": function_type, "description": overall_desc, "signature": str(signature), "parameters": param_desc} def get_class_method_docstring(cls, method_name): diff --git a/metagpt/tools/tool_data_type.py b/metagpt/tools/tool_data_type.py index 0ae46fa5c..1a31b03e7 100644 --- a/metagpt/tools/tool_data_type.py +++ b/metagpt/tools/tool_data_type.py @@ -1,12 +1,6 @@ from pydantic import BaseModel -class ToolTypeDef(BaseModel): - name: str - desc: str = "" - usage_prompt: str = "" - - class ToolSchema(BaseModel): description: str @@ -16,3 +10,4 @@ class Tool(BaseModel): path: str schemas: dict = {} code: str = "" + tags: list[str] = [] diff --git a/metagpt/tools/tool_recommend.py b/metagpt/tools/tool_recommend.py new file mode 100644 index 000000000..69b9a4b5d --- /dev/null +++ b/metagpt/tools/tool_recommend.py @@ -0,0 +1,214 @@ +from __future__ import annotations + +import json +from typing import Any + +import jieba +import numpy as np +from pydantic import BaseModel, field_validator +from rank_bm25 import BM25Okapi + +from metagpt.llm import LLM +from metagpt.logs import logger +from metagpt.schema import Plan +from metagpt.tools import TOOL_REGISTRY +from metagpt.tools.tool_data_type import Tool +from metagpt.tools.tool_registry import validate_tool_names +from metagpt.utils.common import CodeParser + +TOOL_INFO_PROMPT = """ +## Capabilities +- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python class or function. +- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc.. + +## Available Tools: +Each tool is described in JSON format. When you call a tool, import the tool from its path first. +{tool_schemas} +""" + + +TOOL_RECOMMENDATION_PROMPT = """ +## User Requirement: +{current_task} + +## Task +Recommend up to {topk} tools from 'Available Tools' that can help solve the 'User Requirement'. + +## Available Tools: +{available_tools} + +## Tool Selection and Instructions: +- Select tools most relevant to completing the 'User Requirement'. +- If you believe that no tools are suitable, indicate with an empty list. +- Only list the names of the tools, not the full schema of each tool. +- Ensure selected tools are listed in 'Available Tools'. +- Output a json list of tool names: +```json +["tool_name1", "tool_name2", ...] +``` +""" + + +class ToolRecommender(BaseModel): + """ + The default ToolRecommender: + 1. Recall: To be implemented in subclasses. Recall tools based on the given context and plan. + 2. Rank: Use LLM to select final candidates from recalled set. + """ + + tools: dict[str, Tool] = {} + force: bool = False # whether to forcedly recommend the specified tools + + @field_validator("tools", mode="before") + @classmethod + def validate_tools(cls, v: list[str]) -> dict[str, Tool]: + # One can use special symbol [""] to indicate use of all registered tools + if v == [""]: + return TOOL_REGISTRY.get_all_tools() + else: + return validate_tool_names(v) + + async def recommend_tools( + self, context: str = "", plan: Plan = None, recall_topk: int = 20, topk: int = 5 + ) -> list[Tool]: + """ + Recommends a list of tools based on the given context and plan. The recommendation process includes two stages: recall from a large pool and rank the recalled tools to select the final set. + + Args: + context (str): The context for tool recommendation. + plan (Plan): The plan for tool recommendation. + recall_topk (int): The number of tools to recall in the initial step. + topk (int): The number of tools to return after rank as final recommendations. + + Returns: + list[Tool]: A list of recommended tools. + """ + + if not self.tools: + return [] + + if self.force or (not context and not plan): + # directly use what users have specified as result for forced recommendation; + # directly use the whole set if there is no useful information + return list(self.tools.values()) + + recalled_tools = await self.recall_tools(context=context, plan=plan, topk=recall_topk) + if not recalled_tools: + return [] + + ranked_tools = await self.rank_tools(recalled_tools=recalled_tools, context=context, plan=plan, topk=topk) + + logger.info(f"Recommended tools: \n{[tool.name for tool in ranked_tools]}") + + return ranked_tools + + async def get_recommended_tool_info(self, **kwargs) -> str: + """ + Wrap recommended tools with their info in a string, which can be used directly in a prompt. + """ + recommended_tools = await self.recommend_tools(**kwargs) + if not recommended_tools: + return "" + tool_schemas = {tool.name: tool.schemas for tool in recommended_tools} + return TOOL_INFO_PROMPT.format(tool_schemas=tool_schemas) + + async def recall_tools(self, context: str = "", plan: Plan = None, topk: int = 20) -> list[Tool]: + """ + Retrieves a list of relevant tools from a large pool, based on the given context and plan. + """ + raise NotImplementedError + + async def rank_tools( + self, recalled_tools: list[Tool], context: str = "", plan: Plan = None, topk: int = 5 + ) -> list[Tool]: + """ + Default rank methods for a ToolRecommender. Use LLM to rank the recalled tools based on the given context, plan, and topk value. + """ + current_task = plan.current_task.instruction if plan else context + + available_tools = {tool.name: tool.schemas["description"] for tool in recalled_tools} + prompt = TOOL_RECOMMENDATION_PROMPT.format( + current_task=current_task, + available_tools=available_tools, + topk=topk, + ) + rsp = await LLM().aask(prompt) + rsp = CodeParser.parse_code(block=None, text=rsp) + ranked_tools = json.loads(rsp) + + valid_tools = validate_tool_names(ranked_tools) + + return list(valid_tools.values())[:topk] + + +class TypeMatchToolRecommender(ToolRecommender): + """ + A legacy ToolRecommender using task type matching at the recall stage: + 1. Recall: Find tools based on exact match between task type and tool tag; + 2. Rank: LLM rank, the same as the default ToolRecommender. + """ + + async def recall_tools(self, context: str = "", plan: Plan = None, topk: int = 20) -> list[Tool]: + if not plan: + return list(self.tools.values())[:topk] + + # find tools based on exact match between task type and tool tag + task_type = plan.current_task.task_type + candidate_tools = TOOL_REGISTRY.get_tools_by_tag(task_type) + candidate_tool_names = set(self.tools.keys()) & candidate_tools.keys() + recalled_tools = [candidate_tools[tool_name] for tool_name in candidate_tool_names][:topk] + + logger.info(f"Recalled tools: \n{[tool.name for tool in recalled_tools]}") + + return recalled_tools + + +class BM25ToolRecommender(ToolRecommender): + """ + A ToolRecommender using BM25 at the recall stage: + 1. Recall: Querying tool descriptions with task instruction if plan exists. Otherwise, return all user-specified tools; + 2. Rank: LLM rank, the same as the default ToolRecommender. + """ + + bm25: Any = None + + def __init__(self, **kwargs): + super().__init__(**kwargs) + self._init_corpus() + + def _init_corpus(self): + corpus = [f"{tool.name} {tool.tags}: {tool.schemas['description']}" for tool in self.tools.values()] + tokenized_corpus = [self._tokenize(doc) for doc in corpus] + self.bm25 = BM25Okapi(tokenized_corpus) + + def _tokenize(self, text): + return jieba.lcut(text) # FIXME: needs more sophisticated tokenization + + async def recall_tools(self, context: str = "", plan: Plan = None, topk: int = 20) -> list[Tool]: + query = plan.current_task.instruction if plan else context + + query_tokens = self._tokenize(query) + doc_scores = self.bm25.get_scores(query_tokens) + top_indexes = np.argsort(doc_scores)[::-1][:topk] + recalled_tools = [list(self.tools.values())[index] for index in top_indexes] + + logger.info( + f"Recalled tools: \n{[tool.name for tool in recalled_tools]}; Scores: {[doc_scores[index] for index in top_indexes]}" + ) + + return recalled_tools + + +class EmbeddingToolRecommender(ToolRecommender): + """ + NOTE: To be implemented. + A ToolRecommender using embeddings at the recall stage: + 1. Recall: Use embeddings to calculate the similarity between query and tool info; + 2. Rank: LLM rank, the same as the default ToolRecommender. + """ + + def __init__(self, **kwargs): + super().__init__(**kwargs) + + async def recall_tools(self, context: str = "", plan: Plan = None, topk: int = 20) -> list[Tool]: + pass diff --git a/metagpt/tools/tool_registry.py b/metagpt/tools/tool_registry.py index 5fbd39421..11269cb0f 100644 --- a/metagpt/tools/tool_registry.py +++ b/metagpt/tools/tool_registry.py @@ -9,28 +9,21 @@ from __future__ import annotations import inspect import os -import re from collections import defaultdict +from typing import Union import yaml -from pydantic import BaseModel, field_validator +from pydantic import BaseModel from metagpt.const import TOOL_SCHEMA_PATH from metagpt.logs import logger from metagpt.tools.tool_convert import convert_code_to_tool_schema -from metagpt.tools.tool_data_type import Tool, ToolSchema, ToolTypeDef -from metagpt.tools.tool_type import ToolType +from metagpt.tools.tool_data_type import Tool, ToolSchema class ToolRegistry(BaseModel): tools: dict = {} - tool_types: dict = {} - tools_by_types: dict = defaultdict(dict) # two-layer k-v, {tool_type: {tool_name: {...}, ...}, ...} - - @field_validator("tool_types", mode="before") - @classmethod - def init_tool_types(cls, tool_types: ToolType): - return {tool_type.type_name: tool_type.value for tool_type in tool_types} + tools_by_tags: dict = defaultdict(dict) # two-layer k-v, {tag: {tool_name: {...}, ...}, ...} def register_tool( self, @@ -38,25 +31,15 @@ class ToolRegistry(BaseModel): tool_path, schema_path="", tool_code="", - tool_type="other", + tags=None, tool_source_object=None, - include_functions=[], + include_functions=None, verbose=False, ): if self.has_tool(tool_name): return - if tool_type not in self.tool_types: - # register new tool type on the fly - logger.warning( - f"{tool_type} not previously defined, will create a temporary tool type with just a name. This tool type is only effective during this runtime. You may consider add this tool type with more configs permanently at metagpt.tools.tool_type" - ) - temp_tool_type_obj = ToolTypeDef(name=tool_type) - self.tool_types[tool_type] = temp_tool_type_obj - if verbose: - logger.info(f"tool type {tool_type} registered") - - schema_path = schema_path or TOOL_SCHEMA_PATH / tool_type / f"{tool_name}.yml" + schema_path = schema_path or TOOL_SCHEMA_PATH / f"{tool_name}.yml" schemas = make_schema(tool_source_object, include_functions, schema_path) @@ -71,10 +54,11 @@ class ToolRegistry(BaseModel): # logger.warning( # f"{tool_name} schema not conforms to required format, but will be used anyway. Mismatch: {e}" # ) - - tool = Tool(name=tool_name, path=tool_path, schemas=schemas, code=tool_code) + tags = tags or [] + tool = Tool(name=tool_name, path=tool_path, schemas=schemas, code=tool_code, tags=tags) self.tools[tool_name] = tool - self.tools_by_types[tool_type][tool_name] = tool + for tag in tags: + self.tools_by_tags[tag].update({tool_name: tool}) if verbose: logger.info(f"{tool_name} registered") logger.info(f"schema made at {str(schema_path)}, can be used for checking") @@ -85,31 +69,32 @@ class ToolRegistry(BaseModel): def get_tool(self, key) -> Tool: return self.tools.get(key) - def get_tools_by_type(self, key) -> dict[str, Tool]: - return self.tools_by_types.get(key, {}) + def get_tools_by_tag(self, key) -> dict[str, Tool]: + return self.tools_by_tags.get(key, {}) - def has_tool_type(self, key) -> bool: - return key in self.tool_types + def get_all_tools(self) -> dict[str, Tool]: + return self.tools - def get_tool_type(self, key) -> ToolType: - return self.tool_types.get(key) + def has_tool_tag(self, key) -> bool: + return key in self.tools_by_tags - def get_tool_types(self) -> dict[str, ToolType]: - return self.tool_types + def get_tool_tags(self) -> list[str]: + return list(self.tools_by_tags.keys()) # Registry instance -TOOL_REGISTRY = ToolRegistry(tool_types=ToolType) +TOOL_REGISTRY = ToolRegistry() -def register_tool(tool_type: str = "other", schema_path: str = "", **kwargs): +def register_tool(tags: list[str] = None, schema_path: str = "", **kwargs): """register a tool to registry""" def decorator(cls): # Get the file path where the function / class is defined and the source code file_path = inspect.getfile(cls) if "metagpt" in file_path: - file_path = re.search("metagpt.+", file_path).group(0) + # split to handle ../metagpt/metagpt/tools/... where only metapgt/tools/... is needed + file_path = "metagpt" + file_path.split("metagpt")[-1] source_code = inspect.getsource(cls) TOOL_REGISTRY.register_tool( @@ -117,7 +102,7 @@ def register_tool(tool_type: str = "other", schema_path: str = "", **kwargs): tool_path=file_path, schema_path=schema_path, tool_code=source_code, - tool_type=tool_type, + tags=tags, tool_source_object=cls, **kwargs, ) @@ -142,14 +127,15 @@ def make_schema(tool_source_object, include, path): return schema -def validate_tool_names(tools: list[str], return_tool_object=False) -> list[str]: - valid_tools = [] - for tool_name in tools: - if not TOOL_REGISTRY.has_tool(tool_name): - logger.warning( - f"Specified tool {tool_name} not found and was skipped. Check if you have registered it properly" - ) +def validate_tool_names(tools: Union[list[str], str]) -> str: + assert isinstance(tools, list), "tools must be a list of str" + valid_tools = {} + for key in tools: + # one can define either tool names or tool type names, take union to get the whole set + if TOOL_REGISTRY.has_tool(key): + valid_tools.update({key: TOOL_REGISTRY.get_tool(key)}) + elif TOOL_REGISTRY.has_tool_tag(key): + valid_tools.update(TOOL_REGISTRY.get_tools_by_tag(key)) else: - valid_tool = TOOL_REGISTRY.get_tool(tool_name) if return_tool_object else tool_name - valid_tools.append(valid_tool) + logger.warning(f"invalid tool name or tool type name: {key}, skipped") return valid_tools diff --git a/metagpt/tools/tool_type.py b/metagpt/tools/tool_type.py deleted file mode 100644 index 6fa971c56..000000000 --- a/metagpt/tools/tool_type.py +++ /dev/null @@ -1,55 +0,0 @@ -from enum import Enum - -from metagpt.prompts.tool_types import ( - DATA_PREPROCESS_PROMPT, - FEATURE_ENGINEERING_PROMPT, - IMAGE2WEBPAGE_PROMPT, - MODEL_EVALUATE_PROMPT, - MODEL_TRAIN_PROMPT, -) -from metagpt.tools.tool_data_type import ToolTypeDef - - -class ToolType(Enum): - EDA = ToolTypeDef(name="eda", desc="For performing exploratory data analysis") - DATA_PREPROCESS = ToolTypeDef( - name="data_preprocess", - desc="Only for changing value inplace.", - usage_prompt=DATA_PREPROCESS_PROMPT, - ) - FEATURE_ENGINEERING = ToolTypeDef( - name="feature_engineering", - desc="Only for creating new columns for input data.", - usage_prompt=FEATURE_ENGINEERING_PROMPT, - ) - MODEL_TRAIN = ToolTypeDef( - name="model_train", - desc="Only for training model.", - usage_prompt=MODEL_TRAIN_PROMPT, - ) - MODEL_EVALUATE = ToolTypeDef( - name="model_evaluate", - desc="Only for evaluating model.", - usage_prompt=MODEL_EVALUATE_PROMPT, - ) - STABLE_DIFFUSION = ToolTypeDef( - name="stable_diffusion", - desc="Related to text2image, image2image using stable diffusion model.", - ) - IMAGE2WEBPAGE = ToolTypeDef( - name="image2webpage", - desc="For converting image into webpage code.", - usage_prompt=IMAGE2WEBPAGE_PROMPT, - ) - WEBSCRAPING = ToolTypeDef( - name="web_scraping", - desc="For scraping data from web pages.", - ) - OTHER = ToolTypeDef(name="other", desc="Any tools not in the defined categories") - - def __missing__(self, key): - return self.OTHER - - @property - def type_name(self): - return self.value.name diff --git a/metagpt/tools/web_browser_engine_selenium.py b/metagpt/tools/web_browser_engine_selenium.py index 3b1682291..786715461 100644 --- a/metagpt/tools/web_browser_engine_selenium.py +++ b/metagpt/tools/web_browser_engine_selenium.py @@ -103,7 +103,7 @@ class WDMHttpProxyClient(WDMHttpClient): def get(self, url, **kwargs): if "proxies" not in kwargs and self.proxy: - kwargs["proxies"] = {"all_proxy": self.proxy} + kwargs["proxies"] = {"all": self.proxy} return super().get(url, **kwargs) diff --git a/metagpt/utils/async_helper.py b/metagpt/utils/async_helper.py new file mode 100644 index 000000000..ee440ef44 --- /dev/null +++ b/metagpt/utils/async_helper.py @@ -0,0 +1,22 @@ +import asyncio +import threading +from typing import Any + + +def run_coroutine_in_new_loop(coroutine) -> Any: + """Runs a coroutine in a new, separate event loop on a different thread. + + This function is useful when try to execute an async function within a sync function, but encounter the error `RuntimeError: This event loop is already running`. + """ + new_loop = asyncio.new_event_loop() + t = threading.Thread(target=lambda: new_loop.run_forever()) + t.start() + + future = asyncio.run_coroutine_threadsafe(coroutine, new_loop) + + try: + return future.result() + finally: + new_loop.call_soon_threadsafe(new_loop.stop) + t.join() + new_loop.close() diff --git a/metagpt/utils/common.py b/metagpt/utils/common.py index 015902c3d..e443c3466 100644 --- a/metagpt/utils/common.py +++ b/metagpt/utils/common.py @@ -18,17 +18,19 @@ import csv import importlib import inspect import json +import mimetypes import os import platform import re import sys import traceback -import typing from io import BytesIO from pathlib import Path -from typing import Any, Callable, List, Tuple, Union +from typing import Any, Callable, List, Literal, Tuple, Union +from urllib.parse import quote, unquote import aiofiles +import chardet import loguru import requests from PIL import Image @@ -361,16 +363,6 @@ def parse_recipient(text): return "" -def create_func_call_config(func_schema: dict) -> dict: - """Create new function call config""" - tools = [{"type": "function", "function": func_schema}] - tool_choice = {"type": "function", "function": {"name": func_schema["name"]}} - return { - "tools": tools, - "tool_choice": tool_choice, - } - - def remove_comments(code_str: str) -> str: """Remove comments from code.""" pattern = r"(\".*?\"|\'.*?\')|(\#.*?$)" @@ -433,23 +425,109 @@ def is_send_to(message: "Message", addresses: set): def any_to_name(val): """ Convert a value to its name by extracting the last part of the dotted path. - - :param val: The value to convert. - - :return: The name of the value. """ return any_to_str(val).split(".")[-1] -def concat_namespace(*args) -> str: - return ":".join(str(value) for value in args) +def concat_namespace(*args, delimiter: str = ":") -> str: + """Concatenate fields to create a unique namespace prefix. + + Example: + >>> concat_namespace('prefix', 'field1', 'field2', delimiter=":") + 'prefix:field1:field2' + """ + return delimiter.join(str(value) for value in args) -def split_namespace(ns_class_name: str) -> List[str]: - return ns_class_name.split(":") +def split_namespace(ns_class_name: str, delimiter: str = ":", maxsplit: int = 1) -> List[str]: + """Split a namespace-prefixed name into its namespace-prefix and name parts. + + Example: + >>> split_namespace('prefix:classname') + ['prefix', 'classname'] + + >>> split_namespace('prefix:module:class', delimiter=":", maxsplit=2) + ['prefix', 'module', 'class'] + """ + return ns_class_name.split(delimiter, maxsplit=maxsplit) -def general_after_log(i: "loguru.Logger", sec_format: str = "%0.3f") -> typing.Callable[["RetryCallState"], None]: +def auto_namespace(name: str, delimiter: str = ":") -> str: + """Automatically handle namespace-prefixed names. + + If the input name is empty, returns a default namespace prefix and name. + If the input name is not namespace-prefixed, adds a default namespace prefix. + Otherwise, returns the input name unchanged. + + Example: + >>> auto_namespace('classname') + '?:classname' + + >>> auto_namespace('prefix:classname') + 'prefix:classname' + + >>> auto_namespace('') + '?:?' + + >>> auto_namespace('?:custom') + '?:custom' + """ + if not name: + return f"?{delimiter}?" + v = split_namespace(name, delimiter=delimiter) + if len(v) < 2: + return f"?{delimiter}{name}" + return name + + +def add_affix(text: str, affix: Literal["brace", "url", "none"] = "brace"): + """Add affix to encapsulate data. + + Example: + >>> add_affix("data", affix="brace") + '{data}' + + >>> add_affix("example.com", affix="url") + '%7Bexample.com%7D' + + >>> add_affix("text", affix="none") + 'text' + """ + mappings = { + "brace": lambda x: "{" + x + "}", + "url": lambda x: quote("{" + x + "}"), + } + encoder = mappings.get(affix, lambda x: x) + return encoder(text) + + +def remove_affix(text, affix: Literal["brace", "url", "none"] = "brace"): + """Remove affix to extract encapsulated data. + + Args: + text (str): The input text with affix to be removed. + affix (str, optional): The type of affix used. Defaults to "brace". + Supported affix types: "brace" for removing curly braces, "url" for URL decoding within curly braces. + + Returns: + str: The text with affix removed. + + Example: + >>> remove_affix('{data}', affix="brace") + 'data' + + >>> remove_affix('%7Bexample.com%7D', affix="url") + 'example.com' + + >>> remove_affix('text', affix="none") + 'text' + """ + mappings = {"brace": lambda x: x[1:-1], "url": lambda x: unquote(x)[1:-1]} + decoder = mappings.get(affix, lambda x: x) + return decoder(text) + + +def general_after_log(i: "loguru.Logger", sec_format: str = "%0.3f") -> Callable[["RetryCallState"], None]: """ Generates a logging function to be used after a call is retried. @@ -587,14 +665,21 @@ def role_raise_decorator(func): @handle_exception -async def aread(filename: str | Path, encoding=None) -> str: +async def aread(filename: str | Path, encoding="utf-8") -> str: """Read file asynchronously.""" - async with aiofiles.open(str(filename), mode="r", encoding=encoding) as reader: - content = await reader.read() + try: + async with aiofiles.open(str(filename), mode="r", encoding=encoding) as reader: + content = await reader.read() + except UnicodeDecodeError: + async with aiofiles.open(str(filename), mode="rb") as reader: + raw = await reader.read() + result = chardet.detect(raw) + detected_encoding = result["encoding"] + content = raw.decode(detected_encoding) return content -async def awrite(filename: str | Path, data: str, encoding=None): +async def awrite(filename: str | Path, data: str, encoding="utf-8"): """Write file asynchronously.""" pathname = Path(filename) pathname.parent.mkdir(parents=True, exist_ok=True) @@ -636,12 +721,60 @@ def list_files(root: str | Path) -> List[Path]: return files +def parse_json_code_block(markdown_text: str) -> List[str]: + json_blocks = re.findall(r"```json(.*?)```", markdown_text, re.DOTALL) + return [v.strip() for v in json_blocks] + + +def remove_white_spaces(v: str) -> str: + return re.sub(r"(? bytes: + """Read binary file asynchronously. + + Args: + filename (Union[str, Path]): The name or path of the file to be read. + + Returns: + bytes: The content of the file as bytes. + + Example: + >>> content = await aread_bin('example.txt') + b'This is the content of the file.' + + >>> content = await aread_bin(Path('example.txt')) + b'This is the content of the file.' + """ + async with aiofiles.open(str(filename), mode="rb") as reader: + content = await reader.read() + return content + + +async def awrite_bin(filename: str | Path, data: bytes): + """Write binary file asynchronously. + + Args: + filename (Union[str, Path]): The name or path of the file to be written. + data (bytes): The binary data to be written to the file. + + Example: + >>> await awrite_bin('output.bin', b'This is binary data.') + + >>> await awrite_bin(Path('output.bin'), b'Another set of binary data.') + """ + pathname = Path(filename) + pathname.parent.mkdir(parents=True, exist_ok=True) + async with aiofiles.open(str(pathname), mode="wb") as writer: + await writer.write(data) + + def is_coroutine_func(func: Callable) -> bool: return inspect.iscoroutinefunction(func) def load_mc_skills_code(skill_names: list[str] = None, skills_dir: Path = None) -> list[str]: - """load mincraft skill from js files""" + """load minecraft skill from js files""" if not skills_dir: skills_dir = Path(__file__).parent.absolute() if skill_names is None: @@ -676,3 +809,32 @@ def decode_image(img_url_or_b64: str) -> Image: img_data = BytesIO(base64.b64decode(b64_data)) img = Image.open(img_data) return img + + +def log_and_reraise(retry_state: RetryCallState): + logger.error(f"Retry attempts exhausted. Last exception: {retry_state.outcome.exception()}") + logger.warning( + """ +Recommend going to https://deepwisdom.feishu.cn/wiki/MsGnwQBjiif9c3koSJNcYaoSnu4#part-XdatdVlhEojeAfxaaEZcMV3ZniQ +See FAQ 5.8 +""" + ) + raise retry_state.outcome.exception() + + +def get_markdown_codeblock_type(filename: str) -> str: + """Return the markdown code-block type corresponding to the file extension.""" + mime_type, _ = mimetypes.guess_type(filename) + mappings = { + "text/x-shellscript": "bash", + "text/x-c++src": "cpp", + "text/css": "css", + "text/html": "html", + "text/x-java": "java", + "application/javascript": "javascript", + "application/json": "json", + "text/x-python": "python", + "text/x-ruby": "ruby", + "application/sql": "sql", + } + return mappings.get(mime_type, "text") diff --git a/metagpt/utils/cost_manager.py b/metagpt/utils/cost_manager.py index 7bf5154b6..7149ab94e 100644 --- a/metagpt/utils/cost_manager.py +++ b/metagpt/utils/cost_manager.py @@ -6,12 +6,13 @@ @Desc : mashenquan, 2023/8/28. Separate the `CostManager` class to support user-level cost accounting. """ +import re from typing import NamedTuple from pydantic import BaseModel from metagpt.logs import logger -from metagpt.utils.token_counter import TOKEN_COSTS +from metagpt.utils.token_counter import FIREWORKS_GRADE_TOKEN_COSTS, TOKEN_COSTS class Costs(NamedTuple): @@ -29,6 +30,7 @@ class CostManager(BaseModel): total_budget: float = 0 max_budget: float = 10.0 total_cost: float = 0 + token_costs: dict[str, dict[str, float]] = TOKEN_COSTS # different model's token cost def update_cost(self, prompt_tokens, completion_tokens, model): """ @@ -39,10 +41,17 @@ class CostManager(BaseModel): completion_tokens (int): The number of tokens used in the completion. model (str): The model used for the API call. """ + if prompt_tokens + completion_tokens == 0 or not model: + return self.total_prompt_tokens += prompt_tokens self.total_completion_tokens += completion_tokens + if model not in self.token_costs: + logger.warning(f"Model {model} not found in TOKEN_COSTS.") + return + cost = ( - prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model]["completion"] + prompt_tokens * self.token_costs[model]["prompt"] + + completion_tokens * self.token_costs[model]["completion"] ) / 1000 self.total_cost += cost logger.info( @@ -97,3 +106,44 @@ class TokenCostManager(CostManager): self.total_prompt_tokens += prompt_tokens self.total_completion_tokens += completion_tokens logger.info(f"prompt_tokens: {prompt_tokens}, completion_tokens: {completion_tokens}") + + +class FireworksCostManager(CostManager): + def model_grade_token_costs(self, model: str) -> dict[str, float]: + def _get_model_size(model: str) -> float: + size = re.findall(".*-([0-9.]+)b", model) + size = float(size[0]) if len(size) > 0 else -1 + return size + + if "mixtral-8x7b" in model: + token_costs = FIREWORKS_GRADE_TOKEN_COSTS["mixtral-8x7b"] + else: + model_size = _get_model_size(model) + if 0 < model_size <= 16: + token_costs = FIREWORKS_GRADE_TOKEN_COSTS["16"] + elif 16 < model_size <= 80: + token_costs = FIREWORKS_GRADE_TOKEN_COSTS["80"] + else: + token_costs = FIREWORKS_GRADE_TOKEN_COSTS["-1"] + return token_costs + + def update_cost(self, prompt_tokens: int, completion_tokens: int, model: str): + """ + Refs to `https://app.fireworks.ai/pricing` **Developer pricing** + Update the total cost, prompt tokens, and completion tokens. + + Args: + prompt_tokens (int): The number of tokens used in the prompt. + completion_tokens (int): The number of tokens used in the completion. + model (str): The model used for the API call. + """ + self.total_prompt_tokens += prompt_tokens + self.total_completion_tokens += completion_tokens + + token_costs = self.model_grade_token_costs(model) + cost = (prompt_tokens * token_costs["prompt"] + completion_tokens * token_costs["completion"]) / 1000000 + self.total_cost += cost + logger.info( + f"Total running cost: ${self.total_cost:.4f}" + f"Current cost: ${cost:.4f}, prompt_tokens: {prompt_tokens}, completion_tokens: {completion_tokens}" + ) diff --git a/metagpt/utils/dependency_file.py b/metagpt/utils/dependency_file.py index d3add1171..0a375051c 100644 --- a/metagpt/utils/dependency_file.py +++ b/metagpt/utils/dependency_file.py @@ -13,9 +13,7 @@ import re from pathlib import Path from typing import Set -import aiofiles - -from metagpt.utils.common import aread +from metagpt.utils.common import aread, awrite from metagpt.utils.exceptions import handle_exception @@ -45,8 +43,7 @@ class DependencyFile: async def save(self): """Save dependencies to the file asynchronously.""" data = json.dumps(self._dependencies) - async with aiofiles.open(str(self._filename), mode="w") as writer: - await writer.write(data) + await awrite(filename=self._filename, data=data) async def update(self, filename: Path | str, dependencies: Set[Path | str], persist=True): """Update dependencies for a file asynchronously. diff --git a/metagpt/utils/di_graph_repository.py b/metagpt/utils/di_graph_repository.py index 8bb5f9bb3..fee706ece 100644 --- a/metagpt/utils/di_graph_repository.py +++ b/metagpt/utils/di_graph_repository.py @@ -4,7 +4,9 @@ @Time : 2023/12/19 @Author : mashenquan @File : di_graph_repository.py -@Desc : Graph repository based on DiGraph +@Desc : Graph repository based on DiGraph. + This script defines a graph repository class based on a directed graph (DiGraph), providing functionalities + specific to handling directed relationships between entities. """ from __future__ import annotations @@ -19,20 +21,41 @@ from metagpt.utils.graph_repository import SPO, GraphRepository class DiGraphRepository(GraphRepository): + """Graph repository based on DiGraph.""" + def __init__(self, name: str, **kwargs): super().__init__(name=name, **kwargs) self._repo = networkx.DiGraph() async def insert(self, subject: str, predicate: str, object_: str): + """Insert a new triple into the directed graph repository. + + Args: + subject (str): The subject of the triple. + predicate (str): The predicate describing the relationship. + object_ (str): The object of the triple. + + Example: + await my_di_graph_repo.insert(subject="Node1", predicate="connects_to", object_="Node2") + # Adds a directed relationship: Node1 connects_to Node2 + """ self._repo.add_edge(subject, object_, predicate=predicate) - async def upsert(self, subject: str, predicate: str, object_: str): - pass - - async def update(self, subject: str, predicate: str, object_: str): - pass - async def select(self, subject: str = None, predicate: str = None, object_: str = None) -> List[SPO]: + """Retrieve triples from the directed graph repository based on specified criteria. + + Args: + subject (str, optional): The subject of the triple to filter by. + predicate (str, optional): The predicate describing the relationship to filter by. + object_ (str, optional): The object of the triple to filter by. + + Returns: + List[SPO]: A list of SPO objects representing the selected triples. + + Example: + selected_triples = await my_di_graph_repo.select(subject="Node1", predicate="connects_to") + # Retrieves directed relationships where Node1 is the subject and the predicate is 'connects_to'. + """ result = [] for s, o, p in self._repo.edges(data="predicate"): if subject and subject != s: @@ -44,12 +67,41 @@ class DiGraphRepository(GraphRepository): result.append(SPO(subject=s, predicate=p, object_=o)) return result + async def delete(self, subject: str = None, predicate: str = None, object_: str = None) -> int: + """Delete triples from the directed graph repository based on specified criteria. + + Args: + subject (str, optional): The subject of the triple to filter by. + predicate (str, optional): The predicate describing the relationship to filter by. + object_ (str, optional): The object of the triple to filter by. + + Returns: + int: The number of triples deleted from the repository. + + Example: + deleted_count = await my_di_graph_repo.delete(subject="Node1", predicate="connects_to") + # Deletes directed relationships where Node1 is the subject and the predicate is 'connects_to'. + """ + rows = await self.select(subject=subject, predicate=predicate, object_=object_) + if not rows: + return 0 + for r in rows: + self._repo.remove_edge(r.subject, r.object_) + return len(rows) + def json(self) -> str: + """Convert the directed graph repository to a JSON-formatted string.""" m = networkx.node_link_data(self._repo) data = json.dumps(m) return data async def save(self, path: str | Path = None): + """Save the directed graph repository to a JSON file. + + Args: + path (Union[str, Path], optional): The directory path where the JSON file will be saved. + If not provided, the default path is taken from the 'root' key in the keyword arguments. + """ data = self.json() path = path or self._kwargs.get("root") if not path.exists(): @@ -58,12 +110,21 @@ class DiGraphRepository(GraphRepository): await awrite(filename=pathname.with_suffix(".json"), data=data, encoding="utf-8") async def load(self, pathname: str | Path): + """Load a directed graph repository from a JSON file.""" data = await aread(filename=pathname, encoding="utf-8") m = json.loads(data) self._repo = networkx.node_link_graph(m) @staticmethod async def load_from(pathname: str | Path) -> GraphRepository: + """Create and load a directed graph repository from a JSON file. + + Args: + pathname (Union[str, Path]): The path to the JSON file to be loaded. + + Returns: + GraphRepository: A new instance of the graph repository loaded from the specified JSON file. + """ pathname = Path(pathname) name = pathname.with_suffix("").name root = pathname.parent @@ -74,9 +135,16 @@ class DiGraphRepository(GraphRepository): @property def root(self) -> str: + """Return the root directory path for the graph repository files.""" return self._kwargs.get("root") @property def pathname(self) -> Path: + """Return the path and filename to the graph repository file.""" p = Path(self.root) / self.name return p.with_suffix(".json") + + @property + def repo(self): + """Get the underlying directed graph repository.""" + return self._repo diff --git a/metagpt/utils/embedding.py b/metagpt/utils/embedding.py index 21d62948c..3d53a314c 100644 --- a/metagpt/utils/embedding.py +++ b/metagpt/utils/embedding.py @@ -5,12 +5,15 @@ @Author : alexanderwu @File : embedding.py """ -from langchain_community.embeddings import OpenAIEmbeddings +from llama_index.embeddings.openai import OpenAIEmbedding from metagpt.config2 import config -def get_embedding(): +def get_embedding() -> OpenAIEmbedding: llm = config.get_openai_llm() - embedding = OpenAIEmbeddings(openai_api_key=llm.api_key, openai_api_base=llm.base_url) + if llm is None: + raise ValueError("To use OpenAIEmbedding, please ensure that config.llm.api_type is correctly set to 'openai'.") + + embedding = OpenAIEmbedding(api_key=llm.api_key, api_base=llm.base_url) return embedding diff --git a/metagpt/utils/file_repository.py b/metagpt/utils/file_repository.py index d2a06963a..d19f2b705 100644 --- a/metagpt/utils/file_repository.py +++ b/metagpt/utils/file_repository.py @@ -14,11 +14,9 @@ from datetime import datetime from pathlib import Path from typing import Dict, List, Set -import aiofiles - from metagpt.logs import logger from metagpt.schema import Document -from metagpt.utils.common import aread +from metagpt.utils.common import aread, awrite from metagpt.utils.json_to_markdown import json_to_markdown @@ -55,8 +53,7 @@ class FileRepository: pathname = self.workdir / filename pathname.parent.mkdir(parents=True, exist_ok=True) content = content if content else "" # avoid `argument must be str, not None` to make it continue - async with aiofiles.open(str(pathname), mode="w") as writer: - await writer.write(content) + await awrite(filename=str(pathname), data=content) logger.info(f"save to: {str(pathname)}") if dependencies is not None: diff --git a/metagpt/utils/graph_repository.py b/metagpt/utils/graph_repository.py index 1a6f29a6b..eb1fc5e12 100644 --- a/metagpt/utils/graph_repository.py +++ b/metagpt/utils/graph_repository.py @@ -4,21 +4,28 @@ @Time : 2023/12/19 @Author : mashenquan @File : graph_repository.py -@Desc : Superclass for graph repository. +@Desc : Superclass for graph repository. This script defines a superclass for a graph repository, providing a + foundation for specific implementations. + """ from abc import ABC, abstractmethod +from collections import defaultdict from pathlib import Path from typing import List from pydantic import BaseModel -from metagpt.logs import logger -from metagpt.repo_parser import ClassInfo, ClassRelationship, RepoFileInfo -from metagpt.utils.common import concat_namespace +from metagpt.repo_parser import DotClassInfo, DotClassRelationship, RepoFileInfo +from metagpt.utils.common import concat_namespace, split_namespace class GraphKeyword: + """Basic words for a Graph database. + + This class defines a set of basic words commonly used in the context of a Graph database. + """ + IS = "is" OF = "Of" ON = "On" @@ -28,51 +35,149 @@ class GraphKeyword: SOURCE_CODE = "source_code" NULL = "" GLOBAL_VARIABLE = "global_variable" - CLASS_FUNCTION = "class_function" + CLASS_METHOD = "class_method" CLASS_PROPERTY = "class_property" - HAS_CLASS_FUNCTION = "has_class_function" + HAS_CLASS_METHOD = "has_class_method" HAS_CLASS_PROPERTY = "has_class_property" HAS_CLASS = "has_class" + HAS_DETAIL = "has_detail" HAS_PAGE_INFO = "has_page_info" HAS_CLASS_VIEW = "has_class_view" HAS_SEQUENCE_VIEW = "has_sequence_view" - HAS_ARGS_DESC = "has_args_desc" - HAS_TYPE_DESC = "has_type_desc" + HAS_SEQUENCE_VIEW_VER = "has_sequence_view_ver" + HAS_CLASS_USE_CASE = "has_class_use_case" + IS_COMPOSITE_OF = "is_composite_of" + IS_AGGREGATE_OF = "is_aggregate_of" + HAS_PARTICIPANT = "has_participant" class SPO(BaseModel): + """Graph repository record type. + + This class represents a record in a graph repository with three components: + - Subject: The subject of the triple. + - Predicate: The predicate describing the relationship between the subject and the object. + - Object: The object of the triple. + + Attributes: + subject (str): The subject of the triple. + predicate (str): The predicate describing the relationship. + object_ (str): The object of the triple. + + Example: + spo_record = SPO(subject="Node1", predicate="connects_to", object_="Node2") + # Represents a triple: Node1 connects_to Node2 + """ + subject: str predicate: str object_: str class GraphRepository(ABC): + """Abstract base class for a Graph Repository. + + This class defines the interface for a graph repository, providing methods for inserting, selecting, + deleting, and saving graph data. Concrete implementations of this class must provide functionality + for these operations. + """ + def __init__(self, name: str, **kwargs): self._repo_name = name self._kwargs = kwargs @abstractmethod async def insert(self, subject: str, predicate: str, object_: str): - pass + """Insert a new triple into the graph repository. - @abstractmethod - async def upsert(self, subject: str, predicate: str, object_: str): - pass + Args: + subject (str): The subject of the triple. + predicate (str): The predicate describing the relationship. + object_ (str): The object of the triple. - @abstractmethod - async def update(self, subject: str, predicate: str, object_: str): + Example: + await my_repository.insert(subject="Node1", predicate="connects_to", object_="Node2") + # Inserts a triple: Node1 connects_to Node2 into the graph repository. + """ pass @abstractmethod async def select(self, subject: str = None, predicate: str = None, object_: str = None) -> List[SPO]: + """Retrieve triples from the graph repository based on specified criteria. + + Args: + subject (str, optional): The subject of the triple to filter by. + predicate (str, optional): The predicate describing the relationship to filter by. + object_ (str, optional): The object of the triple to filter by. + + Returns: + List[SPO]: A list of SPO objects representing the selected triples. + + Example: + selected_triples = await my_repository.select(subject="Node1", predicate="connects_to") + # Retrieves triples where Node1 is the subject and the predicate is 'connects_to'. + """ + pass + + @abstractmethod + async def delete(self, subject: str = None, predicate: str = None, object_: str = None) -> int: + """Delete triples from the graph repository based on specified criteria. + + Args: + subject (str, optional): The subject of the triple to filter by. + predicate (str, optional): The predicate describing the relationship to filter by. + object_ (str, optional): The object of the triple to filter by. + + Returns: + int: The number of triples deleted from the repository. + + Example: + deleted_count = await my_repository.delete(subject="Node1", predicate="connects_to") + # Deletes triples where Node1 is the subject and the predicate is 'connects_to'. + """ + pass + + @abstractmethod + async def save(self): + """Save any changes made to the graph repository. + + Example: + await my_repository.save() + # Persists any changes made to the graph repository. + """ pass @property def name(self) -> str: + """Get the name of the graph repository.""" return self._repo_name @staticmethod async def update_graph_db_with_file_info(graph_db: "GraphRepository", file_info: RepoFileInfo): + """Insert information of RepoFileInfo into the specified graph repository. + + This function updates the provided graph repository with information from the given RepoFileInfo object. + The function inserts triples related to various dimensions such as file type, class, class method, function, + global variable, and page info. + + Triple Patterns: + - (?, is, [file type]) + - (?, has class, ?) + - (?, is, [class]) + - (?, has class method, ?) + - (?, has function, ?) + - (?, is, [function]) + - (?, is, global variable) + - (?, has page info, ?) + + Args: + graph_db (GraphRepository): The graph repository object to be updated. + file_info (RepoFileInfo): The RepoFileInfo object containing information to be inserted. + + Example: + await update_graph_db_with_file_info(my_graph_repo, my_file_info) + # Updates 'my_graph_repo' with information from 'my_file_info'. + """ await graph_db.insert(subject=file_info.file, predicate=GraphKeyword.IS, object_=GraphKeyword.SOURCE_CODE) file_types = {".py": "python", ".js": "javascript"} file_type = file_types.get(Path(file_info.file).suffix, GraphKeyword.NULL) @@ -95,13 +200,13 @@ class GraphRepository(ABC): for fn in methods: await graph_db.insert( subject=concat_namespace(file_info.file, class_name), - predicate=GraphKeyword.HAS_CLASS_FUNCTION, + predicate=GraphKeyword.HAS_CLASS_METHOD, object_=concat_namespace(file_info.file, class_name, fn), ) await graph_db.insert( subject=concat_namespace(file_info.file, class_name, fn), predicate=GraphKeyword.IS, - object_=GraphKeyword.CLASS_FUNCTION, + object_=GraphKeyword.CLASS_METHOD, ) for f in file_info.functions: # file -> function @@ -133,7 +238,34 @@ class GraphRepository(ABC): ) @staticmethod - async def update_graph_db_with_class_views(graph_db: "GraphRepository", class_views: List[ClassInfo]): + async def update_graph_db_with_class_views(graph_db: "GraphRepository", class_views: List[DotClassInfo]): + """Insert dot format class information into the specified graph repository. + + This function updates the provided graph repository with class information from the given list of DotClassInfo objects. + The function inserts triples related to various aspects of class views, including source code, file type, class, + class property, class detail, method, composition, and aggregation. + + Triple Patterns: + - (?, is, source code) + - (?, is, file type) + - (?, has class, ?) + - (?, is, class) + - (?, has class property, ?) + - (?, is, class property) + - (?, has detail, ?) + - (?, has method, ?) + - (?, is composite of, ?) + - (?, is aggregate of, ?) + + Args: + graph_db (GraphRepository): The graph repository object to be updated. + class_views (List[DotClassInfo]): List of DotClassInfo objects containing class information to be inserted. + + + Example: + await update_graph_db_with_class_views(my_graph_repo, [class_info1, class_info2]) + # Updates 'my_graph_repo' with class information from the provided list of DotClassInfo objects. + """ for c in class_views: filename, _ = c.package.split(":", 1) await graph_db.insert(subject=filename, predicate=GraphKeyword.IS, object_=GraphKeyword.SOURCE_CODE) @@ -146,6 +278,7 @@ class GraphRepository(ABC): predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS, ) + await graph_db.insert(subject=c.package, predicate=GraphKeyword.HAS_DETAIL, object_=c.model_dump_json()) for vn, vt in c.attributes.items(): # class -> property await graph_db.insert( @@ -160,33 +293,61 @@ class GraphRepository(ABC): object_=GraphKeyword.CLASS_PROPERTY, ) await graph_db.insert( - subject=concat_namespace(c.package, vn), predicate=GraphKeyword.HAS_TYPE_DESC, object_=vt + subject=concat_namespace(c.package, vn), + predicate=GraphKeyword.HAS_DETAIL, + object_=vt.model_dump_json(), ) - for fn, desc in c.methods.items(): - if "" in desc and "" not in desc: - logger.error(desc) + for fn, ft in c.methods.items(): # class -> function await graph_db.insert( subject=c.package, - predicate=GraphKeyword.HAS_CLASS_FUNCTION, + predicate=GraphKeyword.HAS_CLASS_METHOD, object_=concat_namespace(c.package, fn), ) # function detail await graph_db.insert( subject=concat_namespace(c.package, fn), predicate=GraphKeyword.IS, - object_=GraphKeyword.CLASS_FUNCTION, + object_=GraphKeyword.CLASS_METHOD, ) await graph_db.insert( subject=concat_namespace(c.package, fn), - predicate=GraphKeyword.HAS_ARGS_DESC, - object_=desc, + predicate=GraphKeyword.HAS_DETAIL, + object_=ft.model_dump_json(), + ) + for i in c.compositions: + await graph_db.insert( + subject=c.package, predicate=GraphKeyword.IS_COMPOSITE_OF, object_=concat_namespace("?", i) + ) + for i in c.aggregations: + await graph_db.insert( + subject=c.package, predicate=GraphKeyword.IS_AGGREGATE_OF, object_=concat_namespace("?", i) ) @staticmethod async def update_graph_db_with_class_relationship_views( - graph_db: "GraphRepository", relationship_views: List[ClassRelationship] + graph_db: "GraphRepository", relationship_views: List[DotClassRelationship] ): + """Insert class relationships and labels into the specified graph repository. + + This function updates the provided graph repository with class relationship information from the given list + of DotClassRelationship objects. The function inserts triples representing relationships and labels between + classes. + + Triple Patterns: + - (?, is relationship of, ?) + - (?, is relationship on, ?) + + Args: + graph_db (GraphRepository): The graph repository object to be updated. + relationship_views (List[DotClassRelationship]): List of DotClassRelationship objects containing + class relationship information to be inserted. + + Example: + await update_graph_db_with_class_relationship_views(my_graph_repo, [relationship1, relationship2]) + # Updates 'my_graph_repo' with class relationship information from the provided list of DotClassRelationship objects. + + """ for r in relationship_views: await graph_db.insert( subject=r.src, predicate=GraphKeyword.IS + r.relationship + GraphKeyword.OF, object_=r.dest @@ -198,3 +359,32 @@ class GraphRepository(ABC): predicate=GraphKeyword.IS + r.relationship + GraphKeyword.ON, object_=concat_namespace(r.dest, r.label), ) + + @staticmethod + async def rebuild_composition_relationship(graph_db: "GraphRepository"): + """Append namespace-prefixed information to relationship SPO (Subject-Predicate-Object) objects in the graph + repository. + + This function updates the provided graph repository by appending namespace-prefixed information to existing + relationship SPO objects. + + Args: + graph_db (GraphRepository): The graph repository object to be updated. + """ + classes = await graph_db.select(predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS) + mapping = defaultdict(list) + for c in classes: + name = split_namespace(c.subject)[-1] + mapping[name].append(c.subject) + + rows = await graph_db.select(predicate=GraphKeyword.IS_COMPOSITE_OF) + for r in rows: + ns, class_ = split_namespace(r.object_) + if ns != "?": + continue + val = mapping[class_] + if len(val) != 1: + continue + ns_name = val[0] + await graph_db.delete(subject=r.subject, predicate=r.predicate, object_=r.object_) + await graph_db.insert(subject=r.subject, predicate=r.predicate, object_=ns_name) diff --git a/metagpt/utils/mermaid.py b/metagpt/utils/mermaid.py index ae3c5118f..e1d140e84 100644 --- a/metagpt/utils/mermaid.py +++ b/metagpt/utils/mermaid.py @@ -9,11 +9,9 @@ import asyncio import os from pathlib import Path -import aiofiles - from metagpt.config2 import config from metagpt.logs import logger -from metagpt.utils.common import check_cmd_exists +from metagpt.utils.common import awrite, check_cmd_exists async def mermaid_to_file(engine, mermaid_code, output_file_without_suffix, width=2048, height=2048) -> int: @@ -30,9 +28,7 @@ async def mermaid_to_file(engine, mermaid_code, output_file_without_suffix, widt if dir_name and not os.path.exists(dir_name): os.makedirs(dir_name) tmp = Path(f"{output_file_without_suffix}.mmd") - async with aiofiles.open(tmp, "w", encoding="utf-8") as f: - await f.write(mermaid_code) - # tmp.write_text(mermaid_code, encoding="utf-8") + await awrite(filename=tmp, data=mermaid_code) if engine == "nodejs": if check_cmd_exists(config.mermaid.path) != 0: diff --git a/metagpt/utils/parse_docstring.py b/metagpt/utils/parse_docstring.py index e91be8e75..63c0e6890 100644 --- a/metagpt/utils/parse_docstring.py +++ b/metagpt/utils/parse_docstring.py @@ -1,45 +1,23 @@ import re from typing import Tuple -from pydantic import BaseModel - def remove_spaces(text): return re.sub(r"\s+", " ", text).strip() -class DocstringParser(BaseModel): - docstring: str +class DocstringParser: + @staticmethod + def parse(docstring: str) -> Tuple[str, str]: + """Parse the docstring and return the overall description and the parameter description. - def parse_desc(self) -> str: - """Parse and return the description from the docstring.""" - - def parse_params(self) -> list[Tuple[str, str, str]]: - """Parse and return the parameters from the docstring. + Args: + docstring (str): The docstring to be parsed. Returns: - list[Tuple[str, str, str]]: A list of input paramter info. Each info is a triple of (param name, param type, param description) + Tuple[str, str]: A tuple of (overall description, parameter description) """ - def parse_returns(self) -> list[Tuple[str, str]]: - """Parse and return the output information from the docstring. - - Returns: - list[Tuple[str, str]]: A list of output info. Each info is a tuple of (return type, return description) - """ - - @staticmethod - def check_and_parse_optional(param_type: str) -> Tuple[bool, str]: - """Check if a parameter is optional and return a processed param_type rid of the optionality info if so""" - - @staticmethod - def check_and_parse_default_value(param_desc: str) -> Tuple[bool, str]: - """Check if a parameter has a default value and return the default value if so""" - - @staticmethod - def check_and_parse_enum(param_desc: str) -> Tuple[bool, str]: - """Check if a parameter description includes an enum and return enum values if so""" - class reSTDocstringParser(DocstringParser): """A parser for reStructuredText (reST) docstring""" @@ -48,40 +26,18 @@ class reSTDocstringParser(DocstringParser): class GoogleDocstringParser(DocstringParser): """A parser for Google-stype docstring""" - docstring: str - - def parse_desc(self) -> str: - description_match = re.search(r"^(.*?)(?:Args:|Returns:|Raises:|$)", self.docstring, re.DOTALL) - description = remove_spaces(description_match.group(1)) if description_match else "" - return description - - def parse_params(self) -> list[Tuple[str, str, str]]: - args_match = re.search(r"Args:\s*(.*?)(?:Returns:|Raises:|$)", self.docstring, re.DOTALL) - _args = args_match.group(1).strip() if args_match else "" - # variable_pattern = re.compile(r"(\w+)\s*\((.*?)\):\s*(.*)") - variable_pattern = re.compile( - r"(\w+)\s*\((.*?)\):\s*(.*?)(?=\n\s*\w+\s*\(|\Z)", re.DOTALL - ) # (?=\n\w+\s*\(|\Z) is to assert that what follows is either the start of the next parameter (indicated by a newline, some word characters, and an opening parenthesis) or the end of the string (\Z). - params = variable_pattern.findall(_args) - return params - - def parse_returns(self) -> list[Tuple[str, str]]: - returns_match = re.search(r"Returns:\s*(.*?)(?:Raises:|$)", self.docstring, re.DOTALL) - returns = returns_match.group(1).strip() if returns_match else "" - return_pattern = re.compile(r"^(.*)\s*:\s*(.*)$") - returns = return_pattern.findall(returns) - return returns - @staticmethod - def check_and_parse_optional(param_type: str) -> Tuple[bool, str]: - return "optional" in param_type, param_type.replace(", optional", "") + def parse(docstring: str) -> Tuple[str, str]: + if not docstring: + return "", "" - @staticmethod - def check_and_parse_default_value(param_desc: str) -> Tuple[bool, str]: - default_val = re.search(r"Defaults to (.+?)\.", param_desc) - return (True, default_val.group(1)) if default_val else (False, "") + docstring = remove_spaces(docstring) - @staticmethod - def check_and_parse_enum(param_desc: str) -> Tuple[bool, str]: - enum_val = re.search(r"Enum: \[(.+?)\]", param_desc) - return (True, [e.strip() for e in enum_val.group(1).split(",")]) if enum_val else (False, []) + if "Args:" in docstring: + overall_desc, param_desc = docstring.split("Args:") + param_desc = "Args:" + param_desc + else: + overall_desc = docstring + param_desc = "" + + return overall_desc, param_desc diff --git a/metagpt/utils/project_repo.py b/metagpt/utils/project_repo.py index c1f98e1ec..bb18b520c 100644 --- a/metagpt/utils/project_repo.py +++ b/metagpt/utils/project_repo.py @@ -33,6 +33,7 @@ from metagpt.const import ( TASK_PDF_FILE_REPO, TEST_CODES_FILE_REPO, TEST_OUTPUTS_FILE_REPO, + VISUAL_GRAPH_REPO_FILE_REPO, ) from metagpt.utils.file_repository import FileRepository from metagpt.utils.git_repository import GitRepository @@ -69,6 +70,7 @@ class ResourceFileRepositories(FileRepository): code_summary: FileRepository sd_output: FileRepository code_plan_and_change: FileRepository + graph_repo: FileRepository def __init__(self, git_repo): super().__init__(git_repo=git_repo, relative_path=RESOURCES_FILE_REPO) @@ -82,6 +84,7 @@ class ResourceFileRepositories(FileRepository): self.code_summary = git_repo.new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO) self.sd_output = git_repo.new_file_repository(relative_path=SD_OUTPUT_FILE_REPO) self.code_plan_and_change = git_repo.new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO) + self.graph_repo = git_repo.new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO) class ProjectRepo(FileRepository): @@ -133,6 +136,7 @@ class ProjectRepo(FileRepository): code_files = self.with_src_path(path=git_workdir / git_workdir.name).srcs.all_files if not code_files: return False + return bool(code_files) def with_src_path(self, path: str | Path) -> ProjectRepo: try: diff --git a/metagpt/utils/recovery_util.py b/metagpt/utils/recovery_util.py index d0b197e69..2089ae018 100644 --- a/metagpt/utils/recovery_util.py +++ b/metagpt/utils/recovery_util.py @@ -54,5 +54,5 @@ def save_history(role: Role, save_dir: str = ""): with open(save_path / "plan.json", "w", encoding="utf-8") as plan_file: json.dump(plan, plan_file, indent=4, ensure_ascii=False) - save_code_file(name=Path(record_time) / "history_nb", code_context=role.execute_code.nb, file_format="ipynb") + save_code_file(name=Path(record_time), code_context=role.execute_code.nb, file_format="ipynb") return save_path diff --git a/metagpt/utils/reflection.py b/metagpt/utils/reflection.py new file mode 100644 index 000000000..8b8237ae7 --- /dev/null +++ b/metagpt/utils/reflection.py @@ -0,0 +1,18 @@ +"""class tools, including method inspection, class attributes, inheritance relationships, etc.""" + + +def check_methods(C, *methods): + """Check if the class has methods. borrow from _collections_abc. + + Useful when implementing implicit interfaces, such as defining an abstract class, isinstance can be used for determination without inheritance. + """ + mro = C.__mro__ + for method in methods: + for B in mro: + if method in B.__dict__: + if B.__dict__[method] is None: + return NotImplemented + break + else: + return NotImplemented + return True diff --git a/metagpt/utils/repair_llm_raw_output.py b/metagpt/utils/repair_llm_raw_output.py index 06484f71d..17e095c5f 100644 --- a/metagpt/utils/repair_llm_raw_output.py +++ b/metagpt/utils/repair_llm_raw_output.py @@ -119,6 +119,7 @@ def repair_json_format(output: str) -> str: logger.info(f"repair_json_format: {'}]'}") elif output.startswith("{") and output.endswith("]"): output = output[:-1] + "}" + # remove comments in output json string, after json value content, maybe start with #, maybe start with // arr = output.split("\n") new_arr = [] @@ -208,6 +209,17 @@ def repair_invalid_json(output: str, error: str) -> str: elif (rline[col_no] in ["'", '"']) and (line.startswith('"') or line.startswith("'")) and "," not in line: # problem, `"""` or `'''` without `,` new_line = f",{line}" + elif col_no - 1 >= 0 and rline[col_no - 1] in ['"', "'"]: + # backslash problem like \" in the output + char = rline[col_no - 1] + nearest_char_idx = rline[col_no:].find(char) + new_line = ( + rline[: col_no - 1] + + "\\" + + rline[col_no - 1 : col_no + nearest_char_idx] + + "\\" + + rline[col_no + nearest_char_idx :] + ) elif '",' not in line and "," not in line and '"' not in line: new_line = f'{line}",' elif not line.endswith(","): @@ -328,7 +340,9 @@ def extract_state_value_from_output(content: str) -> str: content (str): llm's output from `Role._think` """ content = content.strip() # deal the output cases like " 0", "0\n" and so on. - pattern = r"([0-9])" # TODO find the number using a more proper method not just extract from content using pattern + pattern = ( + r"(? 0 else "-1" diff --git a/metagpt/utils/repo_to_markdown.py b/metagpt/utils/repo_to_markdown.py new file mode 100644 index 000000000..76dfe1b82 --- /dev/null +++ b/metagpt/utils/repo_to_markdown.py @@ -0,0 +1,80 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +This file provides functionality to convert a local repository into a markdown representation. +""" +from __future__ import annotations + +import mimetypes +from pathlib import Path + +from gitignore_parser import parse_gitignore + +from metagpt.logs import logger +from metagpt.utils.common import aread, awrite, get_markdown_codeblock_type, list_files +from metagpt.utils.tree import tree + + +async def repo_to_markdown(repo_path: str | Path, output: str | Path = None, gitignore: str | Path = None) -> str: + """ + Convert a local repository into a markdown representation. + + This function takes a path to a local repository and generates a markdown representation of the repository structure, + including directory trees and file listings. + + Args: + repo_path (str | Path): The path to the local repository. + output (str | Path, optional): The path to save the generated markdown file. Defaults to None. + gitignore (str | Path, optional): The path to the .gitignore file. Defaults to None. + + Returns: + str: The markdown representation of the repository. + """ + repo_path = Path(repo_path) + gitignore = Path(gitignore or Path(__file__).parent / "../../.gitignore").resolve() + + markdown = await _write_dir_tree(repo_path=repo_path, gitignore=gitignore) + + gitignore_rules = parse_gitignore(full_path=str(gitignore)) + markdown += await _write_files(repo_path=repo_path, gitignore_rules=gitignore_rules) + + if output: + await awrite(filename=str(output), data=markdown, encoding="utf-8") + return markdown + + +async def _write_dir_tree(repo_path: Path, gitignore: Path) -> str: + try: + content = tree(repo_path, gitignore, run_command=True) + except Exception as e: + logger.info(f"{e}, using safe mode.") + content = tree(repo_path, gitignore, run_command=False) + + doc = f"## Directory Tree\n```text\n{content}\n```\n---\n\n" + return doc + + +async def _write_files(repo_path, gitignore_rules) -> str: + filenames = list_files(repo_path) + markdown = "" + for filename in filenames: + if gitignore_rules(str(filename)): + continue + markdown += await _write_file(filename=filename, repo_path=repo_path) + return markdown + + +async def _write_file(filename: Path, repo_path: Path) -> str: + relative_path = filename.relative_to(repo_path) + markdown = f"## {relative_path}\n" + + mime_type, _ = mimetypes.guess_type(filename.name) + if "text/" not in mime_type: + logger.info(f"Ignore content: {filename}") + markdown += "\n---\n\n" + return markdown + content = await aread(filename, encoding="utf-8") + content = content.replace("```", "\\`\\`\\`").replace("---", "\\-\\-\\-") + code_block_type = get_markdown_codeblock_type(filename.name) + markdown += f"```{code_block_type}\n{content}\n```\n---\n\n" + return markdown diff --git a/metagpt/utils/text.py b/metagpt/utils/text.py index dd9678438..fb8b94232 100644 --- a/metagpt/utils/text.py +++ b/metagpt/utils/text.py @@ -25,7 +25,7 @@ def reduce_message_length( """ max_token = TOKEN_MAX.get(model_name, 2048) - count_string_tokens(system_text, model_name) - reserved for msg in msgs: - if count_string_tokens(msg, model_name) < max_token: + if count_string_tokens(msg, model_name) < max_token or model_name not in TOKEN_MAX: return msg raise RuntimeError("fail to reduce message length") @@ -93,7 +93,7 @@ def split_paragraph(paragraph: str, sep: str = ".,", count: int = 2) -> list[str continue ret = ["".join(j) for j in _split_by_count(sentences, count)] return ret - return _split_by_count(paragraph, count) + return list(_split_by_count(paragraph, count)) def decode_unicode_escape(text: str) -> str: diff --git a/metagpt/utils/token_counter.py b/metagpt/utils/token_counter.py index a0fb3b70d..0ba2daa89 100644 --- a/metagpt/utils/token_counter.py +++ b/metagpt/utils/token_counter.py @@ -21,6 +21,7 @@ TOKEN_COSTS = { "gpt-35-turbo": {"prompt": 0.0015, "completion": 0.002}, "gpt-35-turbo-16k": {"prompt": 0.003, "completion": 0.004}, "gpt-3.5-turbo-1106": {"prompt": 0.001, "completion": 0.002}, + "gpt-3.5-turbo-0125": {"prompt": 0.001, "completion": 0.002}, "gpt-4-0314": {"prompt": 0.03, "completion": 0.06}, "gpt-4": {"prompt": 0.03, "completion": 0.06}, "gpt-4-32k": {"prompt": 0.06, "completion": 0.12}, @@ -32,38 +33,157 @@ TOKEN_COSTS = { "gpt-4-vision-preview": {"prompt": 0.01, "completion": 0.03}, # TODO add extra image price calculator "gpt-4-1106-vision-preview": {"prompt": 0.01, "completion": 0.03}, "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0}, - "glm-3-turbo": {"prompt": 0.0, "completion": 0.0007}, # 128k version, prompt + completion tokens=0.005￥/k-tokens - "glm-4": {"prompt": 0.0, "completion": 0.014}, # 128k version, prompt + completion tokens=0.1￥/k-tokens + "glm-3-turbo": {"prompt": 0.0007, "completion": 0.0007}, # 128k version, prompt + completion tokens=0.005￥/k-tokens + "glm-4": {"prompt": 0.014, "completion": 0.014}, # 128k version, prompt + completion tokens=0.1￥/k-tokens "gemini-pro": {"prompt": 0.00025, "completion": 0.0005}, + "moonshot-v1-8k": {"prompt": 0.012, "completion": 0.012}, # prompt + completion tokens=0.012￥/k-tokens + "moonshot-v1-32k": {"prompt": 0.024, "completion": 0.024}, + "moonshot-v1-128k": {"prompt": 0.06, "completion": 0.06}, + "open-mistral-7b": {"prompt": 0.00025, "completion": 0.00025}, + "open-mixtral-8x7b": {"prompt": 0.0007, "completion": 0.0007}, + "mistral-small-latest": {"prompt": 0.002, "completion": 0.006}, + "mistral-medium-latest": {"prompt": 0.0027, "completion": 0.0081}, + "mistral-large-latest": {"prompt": 0.008, "completion": 0.024}, + "claude-instant-1.2": {"prompt": 0.0008, "completion": 0.0024}, + "claude-2.0": {"prompt": 0.008, "completion": 0.024}, + "claude-2.1": {"prompt": 0.008, "completion": 0.024}, + "claude-3-sonnet-20240229": {"prompt": 0.003, "completion": 0.015}, + "claude-3-opus-20240229": {"prompt": 0.015, "completion": 0.075}, + "yi-34b-chat-0205": {"prompt": 0.0003, "completion": 0.0003}, + "yi-34b-chat-200k": {"prompt": 0.0017, "completion": 0.0017}, } +""" +QianFan Token Price https://cloud.baidu.com/doc/WENXINWORKSHOP/s/hlrk4akp7#tokens%E5%90%8E%E4%BB%98%E8%B4%B9 +Due to QianFan has multi price strategies, we unify `Tokens post-payment` as a statistical method. +""" +QIANFAN_MODEL_TOKEN_COSTS = { + "ERNIE-Bot-4": {"prompt": 0.017, "completion": 0.017}, + "ERNIE-Bot-8k": {"prompt": 0.0034, "completion": 0.0067}, + "ERNIE-Bot": {"prompt": 0.0017, "completion": 0.0017}, + "ERNIE-Bot-turbo": {"prompt": 0.0011, "completion": 0.0011}, + "EB-turbo-AppBuilder": {"prompt": 0.0011, "completion": 0.0011}, + "ERNIE-Speed": {"prompt": 0.00056, "completion": 0.0011}, + "BLOOMZ-7B": {"prompt": 0.00056, "completion": 0.00056}, + "Llama-2-7B-Chat": {"prompt": 0.00056, "completion": 0.00056}, + "Llama-2-13B-Chat": {"prompt": 0.00084, "completion": 0.00084}, + "Llama-2-70B-Chat": {"prompt": 0.0049, "completion": 0.0049}, + "ChatGLM2-6B-32K": {"prompt": 0.00056, "completion": 0.00056}, + "AquilaChat-7B": {"prompt": 0.00056, "completion": 0.00056}, + "Mixtral-8x7B-Instruct": {"prompt": 0.0049, "completion": 0.0049}, + "SQLCoder-7B": {"prompt": 0.00056, "completion": 0.00056}, + "CodeLlama-7B-Instruct": {"prompt": 0.00056, "completion": 0.00056}, + "XuanYuan-70B-Chat-4bit": {"prompt": 0.0049, "completion": 0.0049}, + "Qianfan-BLOOMZ-7B-compressed": {"prompt": 0.00056, "completion": 0.00056}, + "Qianfan-Chinese-Llama-2-7B": {"prompt": 0.00056, "completion": 0.00056}, + "Qianfan-Chinese-Llama-2-13B": {"prompt": 0.00084, "completion": 0.00084}, + "ChatLaw": {"prompt": 0.0011, "completion": 0.0011}, + "Yi-34B-Chat": {"prompt": 0.0, "completion": 0.0}, +} + +QIANFAN_ENDPOINT_TOKEN_COSTS = { + "completions_pro": QIANFAN_MODEL_TOKEN_COSTS["ERNIE-Bot-4"], + "ernie_bot_8k": QIANFAN_MODEL_TOKEN_COSTS["ERNIE-Bot-8k"], + "completions": QIANFAN_MODEL_TOKEN_COSTS["ERNIE-Bot"], + "eb-instant": QIANFAN_MODEL_TOKEN_COSTS["ERNIE-Bot-turbo"], + "ai_apaas": QIANFAN_MODEL_TOKEN_COSTS["EB-turbo-AppBuilder"], + "ernie_speed": QIANFAN_MODEL_TOKEN_COSTS["ERNIE-Speed"], + "bloomz_7b1": QIANFAN_MODEL_TOKEN_COSTS["BLOOMZ-7B"], + "llama_2_7b": QIANFAN_MODEL_TOKEN_COSTS["Llama-2-7B-Chat"], + "llama_2_13b": QIANFAN_MODEL_TOKEN_COSTS["Llama-2-13B-Chat"], + "llama_2_70b": QIANFAN_MODEL_TOKEN_COSTS["Llama-2-70B-Chat"], + "chatglm2_6b_32k": QIANFAN_MODEL_TOKEN_COSTS["ChatGLM2-6B-32K"], + "aquilachat_7b": QIANFAN_MODEL_TOKEN_COSTS["AquilaChat-7B"], + "mixtral_8x7b_instruct": QIANFAN_MODEL_TOKEN_COSTS["Mixtral-8x7B-Instruct"], + "sqlcoder_7b": QIANFAN_MODEL_TOKEN_COSTS["SQLCoder-7B"], + "codellama_7b_instruct": QIANFAN_MODEL_TOKEN_COSTS["CodeLlama-7B-Instruct"], + "xuanyuan_70b_chat": QIANFAN_MODEL_TOKEN_COSTS["XuanYuan-70B-Chat-4bit"], + "qianfan_bloomz_7b_compressed": QIANFAN_MODEL_TOKEN_COSTS["Qianfan-BLOOMZ-7B-compressed"], + "qianfan_chinese_llama_2_7b": QIANFAN_MODEL_TOKEN_COSTS["Qianfan-Chinese-Llama-2-7B"], + "qianfan_chinese_llama_2_13b": QIANFAN_MODEL_TOKEN_COSTS["Qianfan-Chinese-Llama-2-13B"], + "chatlaw": QIANFAN_MODEL_TOKEN_COSTS["ChatLaw"], + "yi_34b_chat": QIANFAN_MODEL_TOKEN_COSTS["Yi-34B-Chat"], +} + +""" +DashScope Token price https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-thousand-questions-metering-and-billing +Different model has different detail page. Attention, some model are free for a limited time. +""" +DASHSCOPE_TOKEN_COSTS = { + "qwen-turbo": {"prompt": 0.0011, "completion": 0.0011}, + "qwen-plus": {"prompt": 0.0028, "completion": 0.0028}, + "qwen-max": {"prompt": 0.0, "completion": 0.0}, + "qwen-max-1201": {"prompt": 0.0, "completion": 0.0}, + "qwen-max-longcontext": {"prompt": 0.0, "completion": 0.0}, + "llama2-7b-chat-v2": {"prompt": 0.0, "completion": 0.0}, + "llama2-13b-chat-v2": {"prompt": 0.0, "completion": 0.0}, + "qwen-72b-chat": {"prompt": 0.0, "completion": 0.0}, + "qwen-14b-chat": {"prompt": 0.0011, "completion": 0.0011}, + "qwen-7b-chat": {"prompt": 0.00084, "completion": 0.00084}, + "qwen-1.8b-chat": {"prompt": 0.0, "completion": 0.0}, + "baichuan2-13b-chat-v1": {"prompt": 0.0011, "completion": 0.0011}, + "baichuan2-7b-chat-v1": {"prompt": 0.00084, "completion": 0.00084}, + "baichuan-7b-v1": {"prompt": 0.0, "completion": 0.0}, + "chatglm-6b-v2": {"prompt": 0.0011, "completion": 0.0011}, + "chatglm3-6b": {"prompt": 0.0, "completion": 0.0}, + "ziya-llama-13b-v1": {"prompt": 0.0, "completion": 0.0}, # no price page, judge it as free + "dolly-12b-v2": {"prompt": 0.0, "completion": 0.0}, + "belle-llama-13b-2m-v1": {"prompt": 0.0, "completion": 0.0}, + "moss-moon-003-sft-v1": {"prompt": 0.0, "completion": 0.0}, + "chatyuan-large-v2": {"prompt": 0.0, "completion": 0.0}, + "billa-7b-sft-v1": {"prompt": 0.0, "completion": 0.0}, +} + + +FIREWORKS_GRADE_TOKEN_COSTS = { + "-1": {"prompt": 0.0, "completion": 0.0}, # abnormal condition + "16": {"prompt": 0.2, "completion": 0.8}, # 16 means model size <= 16B; 0.2 means $0.2/1M tokens + "80": {"prompt": 0.7, "completion": 2.8}, # 80 means 16B < model size <= 80B + "mixtral-8x7b": {"prompt": 0.4, "completion": 1.6}, +} + +# https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo TOKEN_MAX = { - "gpt-3.5-turbo": 4096, - "gpt-3.5-turbo-0301": 4096, - "gpt-3.5-turbo-0613": 4096, - "gpt-3.5-turbo-16k": 16384, - "gpt-3.5-turbo-16k-0613": 16384, - "gpt-35-turbo": 4096, - "gpt-35-turbo-16k": 16384, - "gpt-3.5-turbo-1106": 16384, - "gpt-4-0314": 8192, - "gpt-4": 8192, - "gpt-4-32k": 32768, - "gpt-4-32k-0314": 32768, - "gpt-4-0613": 8192, - "gpt-4-turbo-preview": 128000, "gpt-4-0125-preview": 128000, + "gpt-4-turbo-preview": 128000, "gpt-4-1106-preview": 128000, "gpt-4-vision-preview": 128000, "gpt-4-1106-vision-preview": 128000, + "gpt-4": 8192, + "gpt-4-0613": 8192, + "gpt-4-32k": 32768, + "gpt-4-32k-0613": 32768, + "gpt-3.5-turbo-0125": 16385, + "gpt-3.5-turbo": 16385, + "gpt-3.5-turbo-1106": 16385, + "gpt-3.5-turbo-instruct": 4096, + "gpt-3.5-turbo-16k": 16385, + "gpt-3.5-turbo-0613": 4096, + "gpt-3.5-turbo-16k-0613": 16385, "text-embedding-ada-002": 8192, - "chatglm_turbo": 32768, + "glm-3-turbo": 128000, + "glm-4": 128000, "gemini-pro": 32768, + "moonshot-v1-8k": 8192, + "moonshot-v1-32k": 32768, + "moonshot-v1-128k": 128000, + "open-mistral-7b": 8192, + "open-mixtral-8x7b": 32768, + "mistral-small-latest": 32768, + "mistral-medium-latest": 32768, + "mistral-large-latest": 32768, + "claude-instant-1.2": 100000, + "claude-2.0": 100000, + "claude-2.1": 200000, + "claude-3-sonnet-20240229": 200000, + "claude-3-opus-20240229": 200000, + "yi-34b-chat-0205": 4000, + "yi-34b-chat-200k": 200000, } -def count_message_tokens(messages, model="gpt-3.5-turbo-0613"): +def count_message_tokens(messages, model="gpt-3.5-turbo-0125"): """Return the number of tokens used by a list of messages.""" try: encoding = tiktoken.encoding_for_model(model) @@ -77,6 +197,7 @@ def count_message_tokens(messages, model="gpt-3.5-turbo-0613"): "gpt-35-turbo-16k", "gpt-3.5-turbo-16k", "gpt-3.5-turbo-1106", + "gpt-3.5-turbo-0125", "gpt-4-0314", "gpt-4-32k-0314", "gpt-4-0613", @@ -93,8 +214,8 @@ def count_message_tokens(messages, model="gpt-3.5-turbo-0613"): tokens_per_message = 4 # every message follows <|start|>{role/name}\n{content}<|end|>\n tokens_per_name = -1 # if there's a name, the role is omitted elif "gpt-3.5-turbo" == model: - print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.") - return count_message_tokens(messages, model="gpt-3.5-turbo-0613") + print("Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0125.") + return count_message_tokens(messages, model="gpt-3.5-turbo-0125") elif "gpt-4" == model: print("Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.") return count_message_tokens(messages, model="gpt-4-0613") @@ -108,7 +229,7 @@ def count_message_tokens(messages, model="gpt-3.5-turbo-0613"): else: raise NotImplementedError( f"num_tokens_from_messages() is not implemented for model {model}. " - f"See https://github.com/openai/openai-python/blob/main/chatml.md " + f"See https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken " f"for information on how messages are converted to tokens." ) num_tokens = 0 diff --git a/metagpt/utils/tree.py b/metagpt/utils/tree.py new file mode 100644 index 000000000..bd7922290 --- /dev/null +++ b/metagpt/utils/tree.py @@ -0,0 +1,140 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2024/3/11 +@Author : mashenquan +@File : tree.py +@Desc : Implement the same functionality as the `tree` command. + Example: + >>> print_tree(".") + utils + +-- serialize.py + +-- project_repo.py + +-- tree.py + +-- mmdc_playwright.py + +-- cost_manager.py + +-- __pycache__ + | +-- __init__.cpython-39.pyc + | +-- redis.cpython-39.pyc + | +-- singleton.cpython-39.pyc + | +-- embedding.cpython-39.pyc + | +-- make_sk_kernel.cpython-39.pyc + | +-- file_repository.cpython-39.pyc + +-- file.py + +-- save_code.py + +-- common.py + +-- redis.py +""" +from __future__ import annotations + +import subprocess +from pathlib import Path +from typing import Callable, Dict, List + +from gitignore_parser import parse_gitignore + + +def tree(root: str | Path, gitignore: str | Path = None, run_command: bool = False) -> str: + """ + Recursively traverses the directory structure and prints it out in a tree-like format. + + Args: + root (str or Path): The root directory from which to start traversing. + gitignore (str or Path): The filename of gitignore file. + run_command (bool): Whether to execute `tree` command. Execute the `tree` command and return the result if True, + otherwise execute python code instead. + + Returns: + str: A string representation of the directory tree. + + Example: + >>> tree(".") + utils + +-- serialize.py + +-- project_repo.py + +-- tree.py + +-- mmdc_playwright.py + +-- __pycache__ + | +-- __init__.cpython-39.pyc + | +-- redis.cpython-39.pyc + | +-- singleton.cpython-39.pyc + +-- parse_docstring.py + + >>> tree(".", gitignore="../../.gitignore") + utils + +-- serialize.py + +-- project_repo.py + +-- tree.py + +-- mmdc_playwright.py + +-- parse_docstring.py + + >>> tree(".", gitignore="../../.gitignore", run_command=True) + utils + ├── serialize.py + ├── project_repo.py + ├── tree.py + ├── mmdc_playwright.py + └── parse_docstring.py + + + """ + root = Path(root).resolve() + if run_command: + return _execute_tree(root, gitignore) + + git_ignore_rules = parse_gitignore(gitignore) if gitignore else None + dir_ = {root.name: _list_children(root=root, git_ignore_rules=git_ignore_rules)} + v = _print_tree(dir_) + return "\n".join(v) + + +def _list_children(root: Path, git_ignore_rules: Callable) -> Dict[str, Dict]: + dir_ = {} + for i in root.iterdir(): + if git_ignore_rules and git_ignore_rules(str(i)): + continue + try: + if i.is_file(): + dir_[i.name] = {} + else: + dir_[i.name] = _list_children(root=i, git_ignore_rules=git_ignore_rules) + except (FileNotFoundError, PermissionError, OSError): + dir_[i.name] = {} + return dir_ + + +def _print_tree(dir_: Dict[str:Dict]) -> List[str]: + ret = [] + for name, children in dir_.items(): + ret.append(name) + if not children: + continue + lines = _print_tree(children) + for j, v in enumerate(lines): + if v[0] not in ["+", " ", "|"]: + ret = _add_line(ret) + row = f"+-- {v}" + else: + row = f" {v}" + ret.append(row) + return ret + + +def _add_line(rows: List[str]) -> List[str]: + for i in range(len(rows) - 1, -1, -1): + v = rows[i] + if v[0] != " ": + return rows + rows[i] = "|" + v[1:] + return rows + + +def _execute_tree(root: Path, gitignore: str | Path) -> str: + args = ["--gitfile", str(gitignore)] if gitignore else [] + try: + result = subprocess.run(["tree"] + args + [str(root)], capture_output=True, text=True, check=True) + if result.returncode != 0: + raise ValueError(f"tree exits with code {result.returncode}") + return result.stdout + except subprocess.CalledProcessError as e: + raise e diff --git a/metagpt/utils/visual_graph_repo.py b/metagpt/utils/visual_graph_repo.py new file mode 100644 index 000000000..86b50df21 --- /dev/null +++ b/metagpt/utils/visual_graph_repo.py @@ -0,0 +1,162 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2023/12/19 +@Author : mashenquan +@File : visualize_graph.py +@Desc : Visualization tool to visualize the class diagrams or sequence diagrams of the graph repository. +""" +from __future__ import annotations + +import re +from abc import ABC +from pathlib import Path +from typing import List, Optional + +from pydantic import BaseModel, Field + +from metagpt.const import AGGREGATION, COMPOSITION, GENERALIZATION +from metagpt.schema import UMLClassView +from metagpt.utils.common import split_namespace +from metagpt.utils.di_graph_repository import DiGraphRepository +from metagpt.utils.graph_repository import GraphKeyword, GraphRepository + + +class _VisualClassView(BaseModel): + """Protected class used by VisualGraphRepo internally. + + Attributes: + package (str): The package associated with the class. + uml (Optional[UMLClassView]): Optional UMLClassView associated with the class. + generalizations (List[str]): List of generalizations for the class. + compositions (List[str]): List of compositions for the class. + aggregations (List[str]): List of aggregations for the class. + """ + + package: str + uml: Optional[UMLClassView] = None + generalizations: List[str] = Field(default_factory=list) + compositions: List[str] = Field(default_factory=list) + aggregations: List[str] = Field(default_factory=list) + + def get_mermaid(self, align: int = 1) -> str: + """Creates a Markdown Mermaid class diagram text. + + Args: + align (int): Indent count used for alignment. + + Returns: + str: The Markdown text representing the Mermaid class diagram. + """ + if not self.uml: + return "" + prefix = "\t" * align + + mermaid_txt = self.uml.get_mermaid(align=align) + for i in self.generalizations: + mermaid_txt += f"{prefix}{i} <|-- {self.name}\n" + for i in self.compositions: + mermaid_txt += f"{prefix}{i} *-- {self.name}\n" + for i in self.aggregations: + mermaid_txt += f"{prefix}{i} o-- {self.name}\n" + return mermaid_txt + + @property + def name(self) -> str: + """Returns the class name without the namespace prefix.""" + return split_namespace(self.package)[-1] + + +class VisualGraphRepo(ABC): + """Abstract base class for VisualGraphRepo.""" + + graph_db: GraphRepository + + def __init__(self, graph_db): + self.graph_db = graph_db + + +class VisualDiGraphRepo(VisualGraphRepo): + """Implementation of VisualGraphRepo for DiGraph graph repository. + + This class extends VisualGraphRepo to provide specific functionality for a graph repository using DiGraph. + """ + + @classmethod + async def load_from(cls, filename: str | Path): + """Load a VisualDiGraphRepo instance from a file.""" + graph_db = await DiGraphRepository.load_from(str(filename)) + return cls(graph_db=graph_db) + + async def get_mermaid_class_view(self) -> str: + """ + Returns a Markdown Mermaid class diagram code block object. + """ + rows = await self.graph_db.select(predicate=GraphKeyword.IS, object_=GraphKeyword.CLASS) + mermaid_txt = "classDiagram\n" + for r in rows: + v = await self._get_class_view(ns_class_name=r.subject) + mermaid_txt += v.get_mermaid() + return mermaid_txt + + async def _get_class_view(self, ns_class_name: str) -> _VisualClassView: + """Returns the Markdown Mermaid class diagram code block object for the specified class.""" + rows = await self.graph_db.select(subject=ns_class_name) + class_view = _VisualClassView(package=ns_class_name) + for r in rows: + if r.predicate == GraphKeyword.HAS_CLASS_VIEW: + class_view.uml = UMLClassView.model_validate_json(r.object_) + elif r.predicate == GraphKeyword.IS + GENERALIZATION + GraphKeyword.OF: + name = split_namespace(r.object_)[-1] + name = self._refine_name(name) + if name: + class_view.generalizations.append(name) + elif r.predicate == GraphKeyword.IS + COMPOSITION + GraphKeyword.OF: + name = split_namespace(r.object_)[-1] + name = self._refine_name(name) + if name: + class_view.compositions.append(name) + elif r.predicate == GraphKeyword.IS + AGGREGATION + GraphKeyword.OF: + name = split_namespace(r.object_)[-1] + name = self._refine_name(name) + if name: + class_view.aggregations.append(name) + return class_view + + async def get_mermaid_sequence_views(self) -> List[(str, str)]: + """Returns all Markdown sequence diagrams with their corresponding graph repository keys.""" + sequence_views = [] + rows = await self.graph_db.select(predicate=GraphKeyword.HAS_SEQUENCE_VIEW) + for r in rows: + sequence_views.append((r.subject, r.object_)) + return sequence_views + + @staticmethod + def _refine_name(name: str) -> str: + """Removes impurity content from the given name. + + Example: + >>> _refine_name("int") + "" + + >>> _refine_name('"Class1"') + 'Class1' + + >>> _refine_name("pkg.Class1") + "Class1" + """ + name = re.sub(r'^[\'"\\\(\)]+|[\'"\\\(\)]+$', "", name) + if name in ["int", "float", "bool", "str", "list", "tuple", "set", "dict", "None"]: + return "" + if "." in name: + name = name.split(".")[-1] + + return name + + async def get_mermaid_sequence_view_versions(self) -> List[(str, str)]: + """Returns all versioned Markdown sequence diagrams with their corresponding graph repository keys.""" + sequence_views = [] + rows = await self.graph_db.select(predicate=GraphKeyword.HAS_SEQUENCE_VIEW_VER) + for r in rows: + sequence_views.append((r.subject, r.object_)) + return sequence_views diff --git a/requirements.txt b/requirements.txt index 6cb25d52b..a0ce1d1ac 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,6 @@ -aiohttp==3.8.4 +aiohttp==3.8.6 #azure_storage==0.37.0 channels==4.0.0 -# chromadb # Django==4.1.5 # docx==0.2.4 #faiss==1.5.3 @@ -11,14 +10,13 @@ typer==0.9.0 # godot==0.1.1 # google_api_python_client==2.93.0 # Used by search_engine.py lancedb==0.4.0 -langchain==0.0.352 loguru==0.6.0 meilisearch==0.21.0 -numpy>=1.24.3 -openai==1.6.0 +numpy==1.24.3 +openai==1.6.1 openpyxl -beautifulsoup4==4.12.2 -pandas==2.0.3 +beautifulsoup4==4.12.3 +pandas==2.1.1 pydantic==2.5.3 #pygame==2.1.3 #pymilvus==2.2.8 @@ -27,13 +25,13 @@ python_docx==0.8.11 PyYAML==6.0.1 # sentence_transformers==2.2.2 setuptools==65.6.3 -tenacity==8.2.2 -tiktoken==0.5.2 -tqdm==4.65.0 +tenacity==8.2.3 +tiktoken==0.6.0 +tqdm==4.66.2 #unstructured[local-inference] # selenium>4 # webdriver_manager<3.9 -anthropic==0.8.1 +anthropic==0.18.1 typing-inspect==0.8.0 libcst==1.0.1 qdrant-client==1.7.0 @@ -54,16 +52,21 @@ rich==13.6.0 nbclient==0.9.0 nbformat==5.9.2 ipython==8.17.2 -ipykernel==6.27.0 +ipykernel==6.27.1 scikit_learn==1.3.2 typing-extensions==4.9.0 socksio~=1.0.0 gitignore-parser==0.1.9 # connexion[uvicorn]~=3.0.5 # Used by metagpt/tools/openapi_v3_hello.py -websockets~=12.0 +websockets~=11.0 networkx~=3.2.1 google-generativeai==0.3.2 -# playwright==1.40.0 # playwright extras require +playwright>=1.26 # used at metagpt/tools/libs/web_scraping.py anytree ipywidgets==8.1.1 Pillow +imap_tools==1.5.0 # Used by metagpt/tools/libs/email_login.py +qianfan==0.3.2 +dashscope==1.14.1 +rank-bm25==0.2.2 # for tool recommendation +jieba==0.42.1 # for tool recommendation \ No newline at end of file diff --git a/setup.py b/setup.py index b16d978cf..f834b4c44 100644 --- a/setup.py +++ b/setup.py @@ -24,11 +24,20 @@ requirements = (here / "requirements.txt").read_text(encoding="utf-8").splitline extras_require = { - "playwright": ["playwright>=1.26", "beautifulsoup4"], "selenium": ["selenium>4", "webdriver_manager", "beautifulsoup4"], "search-google": ["google-api-python-client==2.94.0"], "search-ddg": ["duckduckgo-search~=4.1.1"], "ocr": ["paddlepaddle==2.4.2", "paddleocr>=2.0.1", "tabulate==0.9.0"], + "rag": [ + "llama-index-core==0.10.15", + "llama-index-embeddings-azure-openai==0.1.6", + "llama-index-embeddings-openai==0.1.5", + "llama-index-llms-azure-openai==0.1.4", + "llama-index-readers-file==0.1.4", + "llama-index-retrievers-bm25==0.1.3", + "llama-index-vector-stores-faiss==0.1.1", + "chromadb==0.4.23", + ], } extras_require["test"] = [ @@ -43,7 +52,6 @@ extras_require["test"] = [ "connexion[uvicorn]~=3.0.5", "azure-cognitiveservices-speech~=1.31.0", "aioboto3~=11.3.0", - "chromadb==0.4.14", "gradio==3.0.0", "grpcio-status==1.48.2", "pylint==3.0.3", @@ -58,7 +66,7 @@ extras_require["dev"] = (["pylint~=3.0.3", "black~=23.3.0", "isort~=5.12.0", "pr setup( name="metagpt", - version="0.7.0", + version="0.7.6", description="The Multi-Agent Framework", long_description=long_description, long_description_content_type="text/markdown", diff --git a/tests/conftest.py b/tests/conftest.py index c69fca15e..8603c752a 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -12,8 +12,10 @@ import logging import os import re import uuid +from pathlib import Path from typing import Callable +import aiohttp.web import pytest from metagpt.const import DEFAULT_WORKSPACE_ROOT, TEST_DATA_PATH @@ -111,12 +113,13 @@ def proxy(): while not reader.at_eof(): writer.write(await reader.read(2048)) writer.close() + await writer.wait_closed() async def handle_client(reader, writer): data = await reader.readuntil(b"\r\n\r\n") - print(f"Proxy: {data}") # checking with capfd fixture infos = pattern.match(data) host, port = infos.group("host"), infos.group("port") + print(f"Proxy: {host}") # checking with capfd fixture port = int(port) if port else 80 remote_reader, remote_writer = await asyncio.open_connection(host, port) if data.startswith(b"CONNECT"): @@ -171,9 +174,8 @@ def new_filename(mocker): yield mocker -@pytest.fixture(scope="session") -def search_rsp_cache(): - rsp_cache_file_path = TEST_DATA_PATH / "search_rsp_cache.json" # read repo-provided +def _rsp_cache(name): + rsp_cache_file_path = TEST_DATA_PATH / f"{name}.json" # read repo-provided if os.path.exists(rsp_cache_file_path): with open(rsp_cache_file_path, "r") as f1: rsp_cache_json = json.load(f1) @@ -184,6 +186,16 @@ def search_rsp_cache(): json.dump(rsp_cache_json, f2, indent=4, ensure_ascii=False) +@pytest.fixture(scope="session") +def search_rsp_cache(): + yield from _rsp_cache("search_rsp_cache") + + +@pytest.fixture(scope="session") +def mermaid_rsp_cache(): + yield from _rsp_cache("mermaid_rsp_cache") + + @pytest.fixture def aiohttp_mocker(mocker): MockResponse = type("MockResponse", (MockAioResponse,), {}) @@ -231,3 +243,40 @@ def search_engine_mocker(aiohttp_mocker, curl_cffi_mocker, httplib2_mocker, sear aiohttp_mocker.rsp_cache = httplib2_mocker.rsp_cache = curl_cffi_mocker.rsp_cache = search_rsp_cache aiohttp_mocker.check_funcs = httplib2_mocker.check_funcs = curl_cffi_mocker.check_funcs = check_funcs yield check_funcs + + +@pytest.fixture +def http_server(): + async def handler(request): + return aiohttp.web.Response( + text=""" + MetaGPT

MetaGPT

""", + content_type="text/html", + ) + + async def start(): + server = aiohttp.web.Server(handler) + runner = aiohttp.web.ServerRunner(server) + await runner.setup() + site = aiohttp.web.TCPSite(runner, "127.0.0.1", 0) + await site.start() + _, port, *_ = site._server.sockets[0].getsockname() + return site, f"http://127.0.0.1:{port}" + + return start + + +@pytest.fixture +def mermaid_mocker(aiohttp_mocker, mermaid_rsp_cache): + check_funcs: dict[tuple[str, str], Callable[[dict], str]] = {} + aiohttp_mocker.rsp_cache = mermaid_rsp_cache + aiohttp_mocker.check_funcs = check_funcs + yield check_funcs + + +@pytest.fixture +def git_dir(): + """Fixture to get the unittest directory.""" + git_dir = Path(__file__).parent / f"unittest/{uuid.uuid4().hex}" + git_dir.mkdir(parents=True, exist_ok=True) + return git_dir diff --git a/tests/data/graph_db/networkx.class_view.json b/tests/data/graph_db/networkx.class_view.json new file mode 100644 index 000000000..ad464e79a --- /dev/null +++ b/tests/data/graph_db/networkx.class_view.json @@ -0,0 +1 @@ +{"directed": true, "multigraph": false, "graph": {}, "nodes": [{"id": "metagpt/schema.py"}, {"id": "source_code"}, {"id": "python"}, {"id": "metagpt/schema.py:AIMessage"}, {"id": "class"}, {"id": "{\"name\":\"AIMessage\",\"package\":\"metagpt/schema.py:AIMessage\",\"attributes\":{},\"methods\":{},\"compositions\":[],\"aggregations\":[]}"}, {"id": "metagpt/provider/general_api_base.py"}, {"id": "metagpt/provider/general_api_base.py:APIRequestor"}, {"id": "{\"name\":\"APIRequestor\",\"package\":\"metagpt/provider/general_api_base.py:APIRequestor\",\"attributes\":{\"api_key\":{\"name\":\"api_key\",\"type_\":\"\",\"default_\":\"\",\"description\":\"api_key : NoneType\",\"compositions\":[]},\"api_type\":{\"name\":\"api_type\",\"type_\":\"AZURE_AD,OPEN_AI\",\"default_\":\"\",\"description\":\"api_type : AZURE_AD, OPEN_AI\",\"compositions\":[\"AZURE_AD\",\"OPEN_AI\"]},\"api_version\":{\"name\":\"api_version\",\"type_\":\"\",\"default_\":\"\",\"description\":\"api_version : NoneType\",\"compositions\":[]},\"base_url\":{\"name\":\"base_url\",\"type_\":\"\",\"default_\":\"\",\"description\":\"base_url : NoneType\",\"compositions\":[]},\"organization\":{\"name\":\"organization\",\"type_\":\"\",\"default_\":\"\",\"description\":\"organization : 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In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116:\n 1. Modify the data type of the `cause_by` value in the `Message` to a string, and utilize the new message\n distribution feature for message filtering.\n 2. Consolidate message reception and processing logic within `_observe`.\n 3. Fix bug: Add logic for handling asynchronous message processing when messages are not ready.\n 4. Supplemented the external transmission of internal messages.\n@Modified By: mashenquan, 2023-11-27.\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n 2. According to the design in Section 2.2.3.5.5 of RFC 135, add incremental iteration functionality.\n@Modified By: mashenquan, 2023-12-5. 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In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116, modify the data\n type of the `cause_by` value in the `Message` to a string, and utilize the new message filtering feature.\n@Modified By: mashenquan, 2023-11-27.\n 1. Following the think-act principle, solidify the task parameters when creating the\n WriteTest/RunCode/DebugError object, rather than passing them in when calling the run function.\n 2. According to Section 2.2.3.5.7 of RFC 135, change the method of transferring files from using the Message\n to using file references.\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\n of SummarizeCode.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : qa_engineer.py\\n@Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116, modify the data\\n type of the `cause_by` value in the `Message` to a string, and utilize the new message filtering feature.\\n@Modified By: mashenquan, 2023-11-27.\\n 1. Following the think-act principle, solidify the task parameters when creating the\\n WriteTest/RunCode/DebugError object, rather than passing them in when calling the run function.\\n 2. According to Section 2.2.3.5.7 of RFC 135, change the method of transferring files from using the Message\\n to using file references.\\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\\n of SummarizeCode.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.actions"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"DebugError\",\"RunCode\",\"WriteTest\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['DebugError', 'RunCode', 'WriteTest']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.actions.summarize_code"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.summarize_code\",\"names\":[\"SummarizeCode\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['SummarizeCode']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.const"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"MESSAGE_ROUTE_TO_NONE\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['MESSAGE_ROUTE_TO_NONE']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.logs"}, {"id": "metagpt/roles/qa_engineer.py:names:['logger']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.roles"}, {"id": "metagpt/roles/qa_engineer.py:names:['Role']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.schema"}, {"id": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Document\",\"Message\",\"RunCodeContext\",\"TestingContext\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['Document', 'Message', 'RunCodeContext', 'TestingContext']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str_set\",\"parse_recipient\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['any_to_str_set', 'parse_recipient']"}, {"id": "{\"lineno\":27,\"end_lineno\":181,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"QaEngineer\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:Teacher:__init__"}, {"id": "metagpt/roles/teacher.py:Teacher:_think"}, {"id": "metagpt/roles/teacher.py:Teacher:_react"}, {"id": "metagpt/roles/teacher.py:ast.Constant:\n@Time : 2023/7/27\n@Author : mashenquan\n@File : teacher.py\n@Desc : Used by Agent Store\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\n\n"}, {"id": "{\"lineno\":3,\"end_lineno\":10,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/7/27\\n@Author : mashenquan\\n@File : teacher.py\\n@Desc : Used by Agent Store\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:re"}, {"id": "metagpt/roles/teacher.py:module:metagpt.actions"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['UserRequirement']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.actions.write_teaching_plan"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_teaching_plan\",\"names\":[\"TeachingPlanBlock\",\"WriteTeachingPlanPart\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['TeachingPlanBlock', 'WriteTeachingPlanPart']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.logs"}, {"id": "metagpt/roles/teacher.py:names:['logger']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.roles"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['Role']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.schema"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['Message']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\",\"awrite\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['any_to_str', 'awrite']"}, {"id": "{\"lineno\":22,\"end_lineno\":111,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Teacher\"],\"properties\":{}}"}, {"id": "metagpt/roles/product_manager.py:ProductManager:__init__"}, {"id": "metagpt/roles/product_manager.py:ProductManager:_think"}, {"id": "metagpt/roles/product_manager.py:ProductManager:_observe"}, {"id": "metagpt/roles/product_manager.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : product_manager.py\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":8,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : product_manager.py\\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.actions"}, {"id": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\",\"WritePRD\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['UserRequirement', 'WritePRD']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.actions.prepare_documents"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.prepare_documents\",\"names\":[\"PrepareDocuments\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['PrepareDocuments']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.roles.role"}, {"id": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.role\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['Role']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_name\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['any_to_name']"}, {"id": "{\"lineno\":16,\"end_lineno\":51,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"ProductManager\"],\"properties\":{}}"}, {"id": "metagpt/roles/sales.py:ast.Constant:\n@Time : 2023/5/25 17:21\n@Author : alexanderwu\n@File : sales.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/25 17:21\\n@Author : alexanderwu\\n@File : sales.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/sales.py:module:typing"}, {"id": "metagpt/roles/sales.py:names:['Optional']"}, {"id": "metagpt/roles/sales.py:module:pydantic"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\",\"model_validator\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Field', 'model_validator']"}, {"id": "metagpt/roles/sales.py:module:metagpt.actions"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\",\"UserRequirement\"]}}"}, {"id": "metagpt/roles/sales.py:names:['SearchAndSummarize', 'UserRequirement']"}, {"id": "metagpt/roles/sales.py:module:metagpt.document_store.base_store"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.document_store.base_store\",\"names\":[\"BaseStore\"]}}"}, {"id": "metagpt/roles/sales.py:names:['BaseStore']"}, {"id": "metagpt/roles/sales.py:module:metagpt.roles"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Role']"}, {"id": "metagpt/roles/sales.py:module:metagpt.tools.search_engine"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools.search_engine\",\"names\":[\"SearchEngine\"]}}"}, {"id": "metagpt/roles/sales.py:names:['SearchEngine']"}, {"id": "{\"lineno\":19,\"end_lineno\":41,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Sales\"],\"properties\":{}}"}, {"id": "metagpt/roles/searcher.py:Searcher:_act_sp"}, {"id": "metagpt/roles/searcher.py:Searcher:_act"}, {"id": "metagpt/roles/searcher.py:ast.Constant:\n@Time : 2023/5/23 17:25\n@Author : alexanderwu\n@File : searcher.py\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":9,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/23 17:25\\n@Author : alexanderwu\\n@File : searcher.py\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/searcher.py:module:typing"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['Optional']"}, {"id": "metagpt/roles/searcher.py:module:pydantic"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\",\"model_validator\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['Field', 'model_validator']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['SearchAndSummarize']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['ActionNode']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions.action_output"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_output\",\"names\":[\"ActionOutput\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['ActionOutput']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.logs"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['logger']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.roles"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['Role']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.schema"}, {"id": "metagpt/roles/searcher.py:names:['Message']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.tools.search_engine"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools.search_engine\",\"names\":[\"SearchEngine\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['SearchEngine']"}, {"id": "{\"lineno\":24,\"end_lineno\":69,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Searcher\"],\"properties\":{}}"}, {"id": "metagpt/roles/assistant.py:Assistant:__init__"}, {"id": "metagpt/roles/assistant.py:Assistant:_plan"}, {"id": "metagpt/roles/assistant.py:ast.Constant:\n@Time : 2023/8/7\n@Author : mashenquan\n@File : assistant.py\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\n make these symbols configurable and standardized, making the process of building flows more convenient.\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\n configuration file.\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\n indicates that further reasoning cannot continue.\n\n"}, {"id": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/8/7\\n@Author : mashenquan\\n@File : assistant.py\\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\\n make these symbols configurable and standardized, making the process of building flows more convenient.\\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\\n configuration file.\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\\n indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/assistant.py:module:enum"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"enum\",\"names\":[\"Enum\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Enum']"}, {"id": "metagpt/roles/assistant.py:module:pathlib"}, {"id": "metagpt/roles/assistant.py:names:['Path']"}, {"id": "metagpt/roles/assistant.py:module:typing"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Optional']"}, {"id": "metagpt/roles/assistant.py:module:pydantic"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Field']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.actions.skill_action"}, {"id": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.skill_action\",\"names\":[\"ArgumentsParingAction\",\"SkillAction\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['ArgumentsParingAction', 'SkillAction']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.actions.talk_action"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.talk_action\",\"names\":[\"TalkAction\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['TalkAction']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.learn.skill_loader"}, {"id": "{\"lineno\":25,\"end_lineno\":25,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.learn.skill_loader\",\"names\":[\"SkillsDeclaration\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['SkillsDeclaration']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.logs"}, {"id": "metagpt/roles/assistant.py:names:['logger']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.memory.brain_memory"}, {"id": "{\"lineno\":27,\"end_lineno\":27,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.memory.brain_memory\",\"names\":[\"BrainMemory\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['BrainMemory']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.roles"}, {"id": "{\"lineno\":28,\"end_lineno\":28,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Role']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.schema"}, {"id": "{\"lineno\":29,\"end_lineno\":29,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Message']"}, {"id": "{\"lineno\":32,\"end_lineno\":34,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"MessageType\"],\"properties\":{}}"}, {"id": "{\"lineno\":37,\"end_lineno\":139,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Assistant\"],\"properties\":{}}"}, {"id": "metagpt/roles/__init__.py"}, {"id": "metagpt/roles/__init__.py:__all__"}, {"id": "metagpt/roles/__init__.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : __init__.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : __init__.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.role"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.role\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['Role']"}, {"id": 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A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\n consolidated within the `_observe` function.\n 2. Standardize the message filtering for string label matching. Role objects can access the message labels\n they've subscribed to through the `subscribed_tags` property.\n 3. Move the message receive buffer from the global variable `self.rc.env.memory` to the role's private variable\n `self.rc.msg_buffer` for easier message identification and asynchronous appending of messages.\n 4. Standardize the way messages are passed: `publish_message` sends messages out, while `put_message` places\n messages into the Role object's private message receive buffer. There are no other message transmit methods.\n 5. Standardize the parameters for the `run` function: the `test_message` parameter is used for testing purposes\n only. In the normal workflow, you should use `publish_message` or `put_message` to transmit messages.\n@Modified By: mashenquan, 2023-11-4. According to the routing feature plan in Chapter 2.2.3.2 of RFC 113, the routing\n functionality is to be consolidated into the `Environment` class.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":21,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:42\\n@Author : alexanderwu\\n@File : role.py\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\\n consolidated within the `_observe` function.\\n 2. 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Following the think-act principle, solidify the task parameters when creating the\n WriteTest object, rather than passing them in when calling the run function.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":9,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 22:12\\n@Author : alexanderwu\\n@File : write_test.py\\n@Modified By: mashenquan, 2023-11-27. Following the think-act principle, solidify the task parameters when creating the\\n WriteTest object, rather than passing them in when calling the run function.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_test.py:module:typing"}, {"id": "metagpt/actions/write_test.py:names:['Optional']"}, {"id": "metagpt/actions/write_test.py:module:metagpt.actions.action"}, {"id": "metagpt/actions/write_test.py:names:['Action']"}, {"id": "metagpt/actions/write_test.py:module:metagpt.const"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"TEST_CODES_FILE_REPO\"]}}"}, {"id": "metagpt/actions/write_test.py:names:['TEST_CODES_FILE_REPO']"}, {"id": "metagpt/actions/write_test.py:module:metagpt.logs"}, {"id": "metagpt/actions/write_test.py:names:['logger']"}, {"id": "metagpt/actions/write_test.py:module:metagpt.schema"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Document\",\"TestingContext\"]}}"}, {"id": "metagpt/actions/write_test.py:names:['Document', 'TestingContext']"}, {"id": "metagpt/actions/write_test.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"CodeParser\"]}}"}, {"id": "metagpt/actions/write_test.py:names:['CodeParser']"}, {"id": "{\"lineno\":19,\"end_lineno\":37,\"type_name\":\"ast.Assign\",\"tokens\":[\"PROMPT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":40,\"end_lineno\":70,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"WriteTest\"],\"properties\":{}}"}, {"id": "metagpt/actions/action_graph.py:ActionGraph:__init__"}, {"id": "metagpt/actions/action_graph.py:ast.Constant:\n@Time : 2024/1/30 13:52\n@Author : alexanderwu\n@File : action_graph.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2024/1/30 13:52\\n@Author : alexanderwu\\n@File : action_graph.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/action_graph.py:module:__future__"}, {"id": "metagpt/actions/action_graph.py:names:['annotations']"}, {"id": "{\"lineno\":13,\"end_lineno\":49,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"ActionGraph\"],\"properties\":{}}"}, {"id": "metagpt/actions/debug_error.py:PROMPT_TEMPLATE"}, {"id": "metagpt/actions/debug_error.py:ast.Constant:\n@Time : 2023/5/11 17:46\n@Author : alexanderwu\n@File : debug_error.py\n@Modified By: mashenquan, 2023/11/27.\n 1. Divide the context into three components: legacy code, unit test code, and console log.\n 2. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":10,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 17:46\\n@Author : alexanderwu\\n@File : debug_error.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. Divide the context into three components: legacy code, unit test code, and console log.\\n 2. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/debug_error.py:re"}, {"id": "metagpt/actions/debug_error.py:module:pydantic"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['Field']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.actions.action"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['Action']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.logs"}, {"id": "metagpt/actions/debug_error.py:names:['logger']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.schema"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"RunCodeContext\",\"RunCodeResult\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['RunCodeContext', 'RunCodeResult']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"CodeParser\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['CodeParser']"}, {"id": "{\"lineno\":20,\"end_lineno\":45,\"type_name\":\"ast.Assign\",\"tokens\":[\"PROMPT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":48,\"end_lineno\":75,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"DebugError\"],\"properties\":{}}"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_new_system_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_merge"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_update_system_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_data_api_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_seq_flow"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_mermaid_file"}, {"id": "metagpt/actions/design_api.py:NEW_REQ_TEMPLATE"}, {"id": "metagpt/actions/design_api.py:ast.Constant:\n@Time : 2023/5/11 19:26\n@Author : alexanderwu\n@File : design_api.py\n@Modified By: mashenquan, 2023/11/27.\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n 2. According to the design in Section 2.2.3.5.3 of RFC 135, add incremental iteration functionality.\n@Modified By: mashenquan, 2023/12/5. Move the generation logic of the project name to WritePRD.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":11,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 19:26\\n@Author : alexanderwu\\n@File : design_api.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n 2. According to the design in Section 2.2.3.5.3 of RFC 135, add incremental iteration functionality.\\n@Modified By: mashenquan, 2023/12/5. Move the generation logic of the project name to WritePRD.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/design_api.py:json"}, {"id": "metagpt/actions/design_api.py:module:pathlib"}, {"id": "metagpt/actions/design_api.py:names:['Path']"}, {"id": "metagpt/actions/design_api.py:module:typing"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/actions/design_api.py:names:['Optional']"}, {"id": "metagpt/actions/design_api.py:module:metagpt.actions"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"Action\",\"ActionOutput\"]}}"}, {"id": "metagpt/actions/design_api.py:names:['Action', 'ActionOutput']"}, {"id": "metagpt/actions/design_api.py:module:metagpt.actions.design_api_an"}, {"id": 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"{\"lineno\":22,\"end_lineno\":29,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_prd_an\",\"names\":[\"COMPETITIVE_QUADRANT_CHART\",\"PROJECT_NAME\",\"REFINED_PRD_NODE\",\"WP_IS_RELATIVE_NODE\",\"WP_ISSUE_TYPE_NODE\",\"WRITE_PRD_NODE\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['COMPETITIVE_QUADRANT_CHART', 'PROJECT_NAME', 'REFINED_PRD_NODE', 'WP_IS_RELATIVE_NODE', 'WP_ISSUE_TYPE_NODE', 'WRITE_PRD_NODE']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.const"}, {"id": "{\"lineno\":30,\"end_lineno\":34,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"BUGFIX_FILENAME\",\"COMPETITIVE_ANALYSIS_FILE_REPO\",\"REQUIREMENT_FILENAME\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['BUGFIX_FILENAME', 'COMPETITIVE_ANALYSIS_FILE_REPO', 'REQUIREMENT_FILENAME']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.logs"}, {"id": "{\"lineno\":35,\"end_lineno\":35,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['logger']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.schema"}, {"id": "{\"lineno\":36,\"end_lineno\":36,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"BugFixContext\",\"Document\",\"Documents\",\"Message\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['BugFixContext', 'Document', 'Documents', 'Message']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":37,\"end_lineno\":37,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"CodeParser\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['CodeParser']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.utils.file_repository"}, {"id": "metagpt/actions/write_prd.py:names:['FileRepository']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.utils.mermaid"}, {"id": "{\"lineno\":39,\"end_lineno\":39,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.mermaid\",\"names\":[\"mermaid_to_file\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['mermaid_to_file']"}, {"id": "{\"lineno\":41,\"end_lineno\":50,\"type_name\":\"ast.Assign\",\"tokens\":[\"CONTEXT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":52,\"end_lineno\":58,\"type_name\":\"ast.Assign\",\"tokens\":[\"NEW_REQ_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":61,\"end_lineno\":172,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"WritePRD\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_docstring.py:_simplify_python_code"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_SYSTEM"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_EXAMPLE_GOOGLE"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_EXAMPLE_NUMPY"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_EXAMPLE_SPHINX"}, {"id": "metagpt/actions/write_docstring.py:_python_docstring_style"}, {"id": "metagpt/actions/write_docstring.py:ast.Constant:Code Docstring Generator.\n\nThis script provides a tool to automatically generate docstrings for Python code. It uses the specified style to create\ndocstrings for the given code and system text.\n\nUsage:\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\n\nArguments:\n filename The path to the Python file for which you want to generate docstrings.\n\nOptions:\n --overwrite If specified, overwrite the original file with the code containing docstrings.\n --style= Specify the style of the generated docstrings.\n Valid values: 'google', 'numpy', or 'sphinx'.\n Default: 'google'\n\nExample:\n python3 -m metagpt.actions.write_docstring ./metagpt/software_company.py --overwrite False --style=numpy\n\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\nthe specified docstring style and adds them to the code.\n"}, {"id": "{\"lineno\":1,\"end_lineno\":23,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"Code Docstring Generator.\\n\\nThis script provides a tool to automatically generate docstrings for Python code. It uses the specified style to create\\ndocstrings for the given code and system text.\\n\\nUsage:\\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\\n\\nArguments:\\n filename The path to the Python file for which you want to generate docstrings.\\n\\nOptions:\\n --overwrite If specified, overwrite the original file with the code containing docstrings.\\n --style= Specify the style of the generated docstrings.\\n Valid values: 'google', 'numpy', or 'sphinx'.\\n Default: 'google'\\n\\nExample:\\n python3 -m metagpt.actions.write_docstring ./metagpt/software_company.py --overwrite False --style=numpy\\n\\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\\nthe specified docstring style and adds them to the code.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_docstring.py:module:__future__"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"__future__\",\"names\":[\"annotations\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['annotations']"}, {"id": "metagpt/actions/write_docstring.py:ast"}, {"id": "{\"lineno\":26,\"end_lineno\":26,\"type_name\":\"ast.Import\",\"tokens\":[\"ast\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_docstring.py:module:pathlib"}, {"id": "{\"lineno\":27,\"end_lineno\":27,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['Path']"}, {"id": "metagpt/actions/write_docstring.py:module:typing"}, {"id": "{\"lineno\":28,\"end_lineno\":28,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Literal\",\"Optional\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['Literal', 'Optional']"}, {"id": "metagpt/actions/write_docstring.py:module:metagpt.actions.action"}, {"id": "{\"lineno\":30,\"end_lineno\":30,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['Action']"}, {"id": "metagpt/actions/write_docstring.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":31,\"end_lineno\":31,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"OutputParser\",\"aread\",\"awrite\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['OutputParser', 'aread', 'awrite']"}, {"id": "metagpt/actions/write_docstring.py:module:metagpt.utils.pycst"}, {"id": "{\"lineno\":32,\"end_lineno\":32,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.pycst\",\"names\":[\"merge_docstring\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['merge_docstring']"}, {"id": "{\"lineno\":34,\"end_lineno\":54,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_SYSTEM\"],\"properties\":{}}"}, {"id": "{\"lineno\":58,\"end_lineno\":84,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_EXAMPLE_GOOGLE\"],\"properties\":{}}"}, {"id": "{\"lineno\":86,\"end_lineno\":122,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_EXAMPLE_NUMPY\"],\"properties\":{}}"}, {"id": "{\"lineno\":124,\"end_lineno\":147,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_EXAMPLE_SPHINX\"],\"properties\":{}}"}, {"id": "{\"lineno\":149,\"end_lineno\":153,\"type_name\":\"ast.Assign\",\"tokens\":[\"_python_docstring_style\"],\"properties\":{}}"}, {"id": 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"metagpt/actions/fix_bug.py:names:['Action']"}, {"id": "{\"lineno\":10,\"end_lineno\":13,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"FixBug\"],\"properties\":{}}"}, {"id": "metagpt/actions/prepare_interview.py:QUESTIONS"}, {"id": "metagpt/actions/prepare_interview.py:ast.Constant:\n@Time : 2023/9/19 15:02\n@Author : DevXiaolan\n@File : prepare_interview.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/9/19 15:02\\n@Author : DevXiaolan\\n@File : prepare_interview.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/prepare_interview.py:module:metagpt.actions"}, {"id": "metagpt/actions/prepare_interview.py:names:['Action']"}, {"id": "metagpt/actions/prepare_interview.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/actions/prepare_interview.py:names:['ActionNode']"}, {"id": "{\"lineno\":11,\"end_lineno\":18,\"type_name\":\"ast.Assign\",\"tokens\":[\"QUESTIONS\"],\"properties\":{}}"}, {"id": "{\"lineno\":21,\"end_lineno\":25,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"PrepareInterview\"],\"properties\":{}}"}, {"id": "metagpt/actions/run_code.py:RunCode:_install_via_subprocess"}, {"id": "metagpt/actions/run_code.py:RunCode:_install_requirements"}, {"id": "metagpt/actions/run_code.py:RunCode:_install_pytest"}, {"id": "metagpt/actions/run_code.py:RunCode:_install_dependencies"}, {"id": "metagpt/actions/run_code.py:PROMPT_TEMPLATE"}, {"id": "metagpt/actions/run_code.py:TEMPLATE_CONTEXT"}, {"id": "metagpt/actions/run_code.py:ast.Constant:\n@Time : 2023/5/11 17:46\n@Author : alexanderwu\n@File : run_code.py\n@Modified By: mashenquan, 2023/11/27.\n 1. Mark the location of Console logs in the PROMPT_TEMPLATE with markdown code-block formatting to enhance\n the understanding for the LLM.\n 2. Fix bug: Add the \"install dependency\" operation.\n 3. Encapsulate the input of RunCode into RunCodeContext and encapsulate the output of RunCode into\n RunCodeResult to standardize and unify parameter passing between WriteCode, RunCode, and DebugError.\n 4. According to section 2.2.3.5.7 of RFC 135, change the method of transferring file content\n (code files, unit test files, log files) from using the message to using the file name.\n 5. Merged the `Config` class of send18:dev branch to take over the set/get operations of the Environment\n class.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":17,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 17:46\\n@Author : alexanderwu\\n@File : run_code.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. Mark the location of Console logs in the PROMPT_TEMPLATE with markdown code-block formatting to enhance\\n the understanding for the LLM.\\n 2. Fix bug: Add the \\\"install dependency\\\" operation.\\n 3. Encapsulate the input of RunCode into RunCodeContext and encapsulate the output of RunCode into\\n RunCodeResult to standardize and unify parameter passing between WriteCode, RunCode, and DebugError.\\n 4. According to section 2.2.3.5.7 of RFC 135, change the method of transferring file content\\n (code files, unit test files, log files) from using the message to using the file name.\\n 5. Merged the `Config` class of send18:dev branch to take over the set/get operations of the Environment\\n class.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/run_code.py:subprocess"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.Import\",\"tokens\":[\"subprocess\"],\"properties\":{}}"}, {"id": "metagpt/actions/run_code.py:module:pathlib"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"id": "metagpt/actions/run_code.py:names:['Path']"}, {"id": "metagpt/actions/run_code.py:module:typing"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Tuple\"]}}"}, {"id": "metagpt/actions/run_code.py:names:['Tuple']"}, {"id": "metagpt/actions/run_code.py:module:pydantic"}, {"id": 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"metagpt/actions/run_code.py:module:metagpt.utils.exceptions"}, {"id": "metagpt/actions/run_code.py:names:['handle_exception']"}, {"id": "{\"lineno\":29,\"end_lineno\":49,\"type_name\":\"ast.Assign\",\"tokens\":[\"PROMPT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":51,\"end_lineno\":75,\"type_name\":\"ast.Assign\",\"tokens\":[\"TEMPLATE_CONTEXT\"],\"properties\":{}}"}, {"id": "{\"lineno\":78,\"end_lineno\":173,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"RunCode\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_code_an_draft.py:main"}, {"id": "metagpt/actions/write_code_an_draft.py:REVIEW"}, {"id": "metagpt/actions/write_code_an_draft.py:REVIEW_RESULT"}, {"id": "metagpt/actions/write_code_an_draft.py:NEXT_STEPS"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_DRAFT"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_FUNCTION"}, {"id": "metagpt/actions/write_code_an_draft.py:REWRITE_CODE"}, {"id": "metagpt/actions/write_code_an_draft.py:CODE_REVIEW_CONTEXT"}, {"id": "metagpt/actions/write_code_an_draft.py:CODE_REVIEW_SMALLEST_CONTEXT"}, {"id": "metagpt/actions/write_code_an_draft.py:CODE_REVIEW_SAMPLE"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_CODE_NODE"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_MOVE_NODE"}, {"id": "metagpt/actions/write_code_an_draft.py:CR_FOR_MOVE_FUNCTION_BY_3"}, {"id": "metagpt/actions/write_code_an_draft.py:ast.Constant:\n@Author : alexanderwu\n@File : write_review.py\n"}, {"id": "metagpt/actions/write_code_an_draft.py:asyncio"}, {"id": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.Import\",\"tokens\":[\"asyncio\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_code_an_draft.py:module:typing"}, {"id": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"List\",\"Literal\"]}}"}, {"id": "metagpt/actions/write_code_an_draft.py:names:['List', 'Literal']"}, {"id": "metagpt/actions/write_code_an_draft.py:module:metagpt.actions"}, {"id": "metagpt/actions/write_code_an_draft.py:names:['Action']"}, {"id": "metagpt/actions/write_code_an_draft.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/actions/write_code_an_draft.py:names:['ActionNode']"}, {"id": "{\"lineno\":13,\"end_lineno\":22,\"type_name\":\"ast.Assign\",\"tokens\":[\"REVIEW\"],\"properties\":{}}"}, {"id": "{\"lineno\":24,\"end_lineno\":29,\"type_name\":\"ast.Assign\",\"tokens\":[\"REVIEW_RESULT\"],\"properties\":{}}"}, {"id": "{\"lineno\":31,\"end_lineno\":61,\"type_name\":\"ast.Assign\",\"tokens\":[\"NEXT_STEPS\"],\"properties\":{}}"}, {"id": "{\"lineno\":63,\"end_lineno\":68,\"type_name\":\"ast.Assign\",\"tokens\":[\"WRITE_DRAFT\"],\"properties\":{}}"}, {"id": 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According to Section 2.2.1 and 2.2.2 of RFC 116, added key definitions for\n common properties in the Message.\n@Modified By: mashenquan, 2023-11-27. Defines file repository paths according to Section 2.2.3.4 of RFC 135.\n@Modified By: mashenquan, 2023/12/5. Add directories for code summarization..\n", "target": "{\"lineno\":3,\"end_lineno\":11,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/1 11:59\\n@Author : alexanderwu\\n@File : const.py\\n@Modified By: mashenquan, 2023-11-1. According to Section 2.2.1 and 2.2.2 of RFC 116, added key definitions for\\n common properties in the Message.\\n@Modified By: mashenquan, 2023-11-27. Defines file repository paths according to Section 2.2.3.4 of RFC 135.\\n@Modified By: mashenquan, 2023/12/5. 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Standardize the parameters for the `run` function: the `test_message` parameter is used for testing purposes\n only. In the normal workflow, you should use `publish_message` or `put_message` to transmit messages.\n@Modified By: mashenquan, 2023-11-4. According to the routing feature plan in Chapter 2.2.3.2 of RFC 113, the routing\n functionality is to be consolidated into the `Environment` class.\n", "target": "{\"lineno\":3,\"end_lineno\":21,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:42\\n@Author : alexanderwu\\n@File : role.py\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\\n consolidated within the `_observe` function.\\n 2. 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It uses the specified style to create\ndocstrings for the given code and system text.\n\nUsage:\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\n\nArguments:\n filename The path to the Python file for which you want to generate docstrings.\n\nOptions:\n --overwrite If specified, overwrite the original file with the code containing docstrings.\n --style= Specify the style of the generated docstrings.\n Valid values: 'google', 'numpy', or 'sphinx'.\n Default: 'google'\n\nExample:\n python3 -m metagpt.actions.write_docstring ./metagpt/software_company.py --overwrite False --style=numpy\n\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\nthe specified docstring style and adds them to the code.\n", "target": "{\"lineno\":1,\"end_lineno\":23,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"Code Docstring Generator.\\n\\nThis script provides a tool to automatically generate docstrings for Python code. It uses the specified style to create\\ndocstrings for the given code and system text.\\n\\nUsage:\\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\\n\\nArguments:\\n filename The path to the Python file for which you want to generate docstrings.\\n\\nOptions:\\n --overwrite If specified, overwrite the original file with the code containing docstrings.\\n --style= Specify the style of the generated docstrings.\\n Valid values: 'google', 'numpy', or 'sphinx'.\\n Default: 'google'\\n\\nExample:\\n python3 -m metagpt.actions.write_docstring ./metagpt/software_company.py --overwrite False --style=numpy\\n\\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\\nthe specified docstring style and adds them to the code.\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/write_docstring.py:module:__future__", "target": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"__future__\",\"names\":[\"annotations\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/write_docstring.py:names:['annotations']", "target": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"__future__\",\"names\":[\"annotations\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/write_docstring.py:ast", "target": "{\"lineno\":26,\"end_lineno\":26,\"type_name\":\"ast.Import\",\"tokens\":[\"ast\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/write_docstring.py:module:pathlib", "target": 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run_code.py\n@Modified By: mashenquan, 2023/11/27.\n 1. Mark the location of Console logs in the PROMPT_TEMPLATE with markdown code-block formatting to enhance\n the understanding for the LLM.\n 2. Fix bug: Add the \"install dependency\" operation.\n 3. Encapsulate the input of RunCode into RunCodeContext and encapsulate the output of RunCode into\n RunCodeResult to standardize and unify parameter passing between WriteCode, RunCode, and DebugError.\n 4. According to section 2.2.3.5.7 of RFC 135, change the method of transferring file content\n (code files, unit test files, log files) from using the message to using the file name.\n 5. Merged the `Config` class of send18:dev branch to take over the set/get operations of the Environment\n class.\n", "target": "{\"lineno\":3,\"end_lineno\":17,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 17:46\\n@Author : alexanderwu\\n@File : run_code.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. Mark the location of Console logs in the PROMPT_TEMPLATE with markdown code-block formatting to enhance\\n the understanding for the LLM.\\n 2. Fix bug: Add the \\\"install dependency\\\" operation.\\n 3. Encapsulate the input of RunCode into RunCodeContext and encapsulate the output of RunCode into\\n RunCodeResult to standardize and unify parameter passing between WriteCode, RunCode, and DebugError.\\n 4. According to section 2.2.3.5.7 of RFC 135, change the method of transferring file content\\n (code files, unit test files, log files) from using the message to using the file name.\\n 5. Merged the `Config` class of send18:dev branch to take over the set/get operations of the Environment\\n class.\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/run_code.py:subprocess", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.Import\",\"tokens\":[\"subprocess\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/run_code.py:module:pathlib", "target": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/run_code.py:names:['Path']", "target": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/actions/run_code.py:module:typing", "target": 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Remove global configuration `CONFIG`, enable configuration support for business isolation.\n"}, {"id": "{\"lineno\":2,\"end_lineno\":4,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Modified By: mashenquan, 2023/8/20. Remove global configuration `CONFIG`, enable configuration support for business isolation.\\n\"],\"properties\":{}}"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:module:__future__"}, {"id": "{\"lineno\":6,\"end_lineno\":6,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"__future__\",\"names\":[\"annotations\"]}}"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:names:['annotations']"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:asyncio"}, {"id": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.Import\",\"tokens\":[\"asyncio\"],\"properties\":{}}"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:sys"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:module:pathlib"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:names:['Path']"}, {"id": "metagpt/tools/web_browser_engine_playwright.py:module:typing"}, {"id": 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Remove global configuration `CONFIG`, enable configuration support for business isolation.\n"}, {"id": "metagpt/tools/web_browser_engine.py:module:__future__"}, {"id": "metagpt/tools/web_browser_engine.py:names:['annotations']"}, {"id": "metagpt/tools/web_browser_engine.py:importlib"}, {"id": "metagpt/tools/web_browser_engine.py:module:typing"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Any\",\"Callable\",\"Coroutine\",\"overload\"]}}"}, {"id": "metagpt/tools/web_browser_engine.py:names:['Any', 'Callable', 'Coroutine', 'overload']"}, {"id": "metagpt/tools/web_browser_engine.py:module:metagpt.config"}, {"id": "metagpt/tools/web_browser_engine.py:names:['CONFIG']"}, {"id": "metagpt/tools/web_browser_engine.py:module:metagpt.tools"}, {"id": 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{"id": "{\"lineno\":39,\"end_lineno\":45,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"CodeSummarizeContext\",\"CodingContext\",\"Document\",\"Documents\",\"Message\"]}}"}, {"id": "metagpt/roles/engineer.py:names:['CodeSummarizeContext', 'CodingContext', 'Document', 'Documents', 'Message']"}, {"id": "metagpt/roles/engineer.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":46,\"end_lineno\":46,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_name\",\"any_to_str\",\"any_to_str_set\"]}}"}, {"id": "metagpt/roles/engineer.py:names:['any_to_name', 'any_to_str', 'any_to_str_set']"}, {"id": "{\"lineno\":48,\"end_lineno\":55,\"type_name\":\"ast.Assign\",\"tokens\":[\"IS_PASS_PROMPT\"],\"properties\":{}}"}, {"id": "{\"lineno\":58,\"end_lineno\":321,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Engineer\"],\"properties\":{}}"}, {"id": "metagpt/roles/qa_engineer.py:QaEngineer:__init__"}, {"id": "metagpt/roles/qa_engineer.py:QaEngineer:_write_test"}, {"id": "metagpt/roles/qa_engineer.py:QaEngineer:_run_code"}, {"id": "metagpt/roles/qa_engineer.py:QaEngineer:_debug_error"}, {"id": "metagpt/roles/qa_engineer.py:QaEngineer:_act"}, {"id": "metagpt/roles/qa_engineer.py:QaEngineer:_observe"}, {"id": "metagpt/roles/qa_engineer.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : qa_engineer.py\n@Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116, modify the data\n type of the `cause_by` value in the `Message` to a string, and utilize the new message filtering feature.\n@Modified By: mashenquan, 2023-11-27.\n 1. Following the think-act principle, solidify the task parameters when creating the\n WriteTest/RunCode/DebugError object, rather than passing them in when calling the run function.\n 2. According to Section 2.2.3.5.7 of RFC 135, change the method of transferring files from using the Message\n to using file references.\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\n of SummarizeCode.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : qa_engineer.py\\n@Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116, modify the data\\n type of the `cause_by` value in the `Message` to a string, and utilize the new message filtering feature.\\n@Modified By: mashenquan, 2023-11-27.\\n 1. Following the think-act principle, solidify the task parameters when creating the\\n WriteTest/RunCode/DebugError object, rather than passing them in when calling the run function.\\n 2. According to Section 2.2.3.5.7 of RFC 135, change the method of transferring files from using the Message\\n to using file references.\\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\\n of SummarizeCode.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.actions"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"DebugError\",\"RunCode\",\"WriteTest\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['DebugError', 'RunCode', 'WriteTest']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.actions.summarize_code"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.summarize_code\",\"names\":[\"SummarizeCode\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['SummarizeCode']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.config"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.config\",\"names\":[\"CONFIG\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['CONFIG']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.const"}, {"id": "{\"lineno\":22,\"end_lineno\":26,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"MESSAGE_ROUTE_TO_NONE\",\"TEST_CODES_FILE_REPO\",\"TEST_OUTPUTS_FILE_REPO\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['MESSAGE_ROUTE_TO_NONE', 'TEST_CODES_FILE_REPO', 'TEST_OUTPUTS_FILE_REPO']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.logs"}, {"id": "metagpt/roles/qa_engineer.py:names:['logger']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.roles"}, {"id": "{\"lineno\":28,\"end_lineno\":28,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['Role']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.schema"}, {"id": "{\"lineno\":29,\"end_lineno\":29,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Document\",\"Message\",\"RunCodeContext\",\"TestingContext\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['Document', 'Message', 'RunCodeContext', 'TestingContext']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":30,\"end_lineno\":30,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str_set\",\"parse_recipient\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['any_to_str_set', 'parse_recipient']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.utils.file_repository"}, {"id": "{\"lineno\":31,\"end_lineno\":31,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.file_repository\",\"names\":[\"FileRepository\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['FileRepository']"}, {"id": "{\"lineno\":34,\"end_lineno\":186,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"QaEngineer\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:Teacher:__init__"}, {"id": "metagpt/roles/teacher.py:Teacher:_think"}, {"id": "metagpt/roles/teacher.py:Teacher:_react"}, {"id": "metagpt/roles/teacher.py:ast.Constant:\n@Time : 2023/7/27\n@Author : mashenquan\n@File : teacher.py\n@Desc : Used by Agent Store\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\n\n"}, {"id": "{\"lineno\":3,\"end_lineno\":10,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/7/27\\n@Author : mashenquan\\n@File : teacher.py\\n@Desc : Used by Agent Store\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:re"}, {"id": "metagpt/roles/teacher.py:aiofiles"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.Import\",\"tokens\":[\"aiofiles\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:module:metagpt.actions"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['UserRequirement']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.actions.write_teaching_plan"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_teaching_plan\",\"names\":[\"TeachingPlanBlock\",\"WriteTeachingPlanPart\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['TeachingPlanBlock', 'WriteTeachingPlanPart']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.config"}, {"id": "metagpt/roles/teacher.py:names:['CONFIG']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.logs"}, {"id": "metagpt/roles/teacher.py:names:['logger']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.roles"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['Role']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.schema"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['Message']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":22,\"end_lineno\":22,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['any_to_str']"}, {"id": "{\"lineno\":25,\"end_lineno\":118,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Teacher\"],\"properties\":{}}"}, {"id": "metagpt/roles/product_manager.py:ProductManager:__init__"}, {"id": "metagpt/roles/product_manager.py:ProductManager:_think"}, {"id": "metagpt/roles/product_manager.py:ProductManager:_observe"}, {"id": "metagpt/roles/product_manager.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : product_manager.py\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":8,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : product_manager.py\\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.actions"}, {"id": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\",\"WritePRD\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['UserRequirement', 'WritePRD']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.actions.prepare_documents"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.prepare_documents\",\"names\":[\"PrepareDocuments\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['PrepareDocuments']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.config"}, {"id": "metagpt/roles/product_manager.py:names:['CONFIG']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.roles.role"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.role\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['Role']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_name\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['any_to_name']"}, {"id": "{\"lineno\":17,\"end_lineno\":57,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"ProductManager\"],\"properties\":{}}"}, {"id": "metagpt/roles/sales.py:Sales:__init__"}, {"id": "metagpt/roles/sales.py:Sales:_set_store"}, {"id": "metagpt/roles/sales.py:ast.Constant:\n@Time : 2023/5/25 17:21\n@Author : alexanderwu\n@File : sales.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/25 17:21\\n@Author : alexanderwu\\n@File : sales.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/sales.py:module:typing"}, {"id": "metagpt/roles/sales.py:names:['Optional']"}, {"id": "metagpt/roles/sales.py:module:pydantic"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Field']"}, {"id": "metagpt/roles/sales.py:module:metagpt.actions"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\",\"UserRequirement\"]}}"}, {"id": "metagpt/roles/sales.py:names:['SearchAndSummarize', 'UserRequirement']"}, {"id": "metagpt/roles/sales.py:module:metagpt.document_store.base_store"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.document_store.base_store\",\"names\":[\"BaseStore\"]}}"}, {"id": "metagpt/roles/sales.py:names:['BaseStore']"}, {"id": "metagpt/roles/sales.py:module:metagpt.roles"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Role']"}, {"id": "metagpt/roles/sales.py:module:metagpt.tools"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools\",\"names\":[\"SearchEngineType\"]}}"}, {"id": "metagpt/roles/sales.py:names:['SearchEngineType']"}, {"id": "{\"lineno\":19,\"end_lineno\":42,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Sales\"],\"properties\":{}}"}, {"id": "metagpt/roles/searcher.py:Searcher:__init__"}, {"id": "metagpt/roles/searcher.py:Searcher:_act_sp"}, {"id": "metagpt/roles/searcher.py:Searcher:_act"}, {"id": "metagpt/roles/searcher.py:ast.Constant:\n@Time : 2023/5/23 17:25\n@Author : alexanderwu\n@File : searcher.py\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":9,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/23 17:25\\n@Author : alexanderwu\\n@File : searcher.py\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/searcher.py:module:pydantic"}, {"id": "metagpt/roles/searcher.py:names:['Field']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"ActionOutput\",\"SearchAndSummarize\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['ActionOutput', 'SearchAndSummarize']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['ActionNode']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.logs"}, {"id": "metagpt/roles/searcher.py:names:['logger']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.roles"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['Role']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.schema"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['Message']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.tools"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools\",\"names\":[\"SearchEngineType\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['SearchEngineType']"}, {"id": "{\"lineno\":21,\"end_lineno\":77,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Searcher\"],\"properties\":{}}"}, {"id": "metagpt/roles/assistant.py:Assistant:__init__"}, {"id": "metagpt/roles/assistant.py:Assistant:_plan"}, {"id": "metagpt/roles/assistant.py:ast.Constant:\n@Time : 2023/8/7\n@Author : mashenquan\n@File : assistant.py\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\n make these symbols configurable and standardized, making the process of building flows more convenient.\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\n configuration file.\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\n indicates that further reasoning cannot continue.\n\n"}, {"id": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/8/7\\n@Author : mashenquan\\n@File : assistant.py\\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\\n make these symbols configurable and standardized, making the process of building flows more convenient.\\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\\n configuration file.\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\\n indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/assistant.py:module:enum"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"enum\",\"names\":[\"Enum\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Enum']"}, {"id": "metagpt/roles/assistant.py:module:pathlib"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Path']"}, {"id": "metagpt/roles/assistant.py:module:typing"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Optional']"}, {"id": "metagpt/roles/assistant.py:module:pydantic"}, {"id": 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Standardize the parameters for the `run` function: the `test_message` parameter is used for testing purposes\n only. In the normal workflow, you should use `publish_message` or `put_message` to transmit messages.\n@Modified By: mashenquan, 2023-11-4. According to the routing feature plan in Chapter 2.2.3.2 of RFC 113, the routing\n functionality is to be consolidated into the `Environment` class.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":21,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:42\\n@Author : alexanderwu\\n@File : role.py\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\\n consolidated within the `_observe` function.\\n 2. 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Divide the context into three components: legacy code, unit test code, and console log.\n 2. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":10,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 17:46\\n@Author : alexanderwu\\n@File : debug_error.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. Divide the context into three components: legacy code, unit test code, and console log.\\n 2. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/debug_error.py:re"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.Import\",\"tokens\":[\"re\"],\"properties\":{}}"}, {"id": "metagpt/actions/debug_error.py:module:pydantic"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['Field']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.actions.action"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['Action']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.config"}, {"id": "metagpt/actions/debug_error.py:names:['CONFIG']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.const"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"TEST_CODES_FILE_REPO\",\"TEST_OUTPUTS_FILE_REPO\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['TEST_CODES_FILE_REPO', 'TEST_OUTPUTS_FILE_REPO']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.logs"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['logger']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.schema"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"RunCodeContext\",\"RunCodeResult\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['RunCodeContext', 'RunCodeResult']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"CodeParser\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['CodeParser']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.utils.file_repository"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.file_repository\",\"names\":[\"FileRepository\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['FileRepository']"}, {"id": "{\"lineno\":23,\"end_lineno\":48,\"type_name\":\"ast.Assign\",\"tokens\":[\"PROMPT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":51,\"end_lineno\":83,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"DebugError\"],\"properties\":{}}"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_new_system_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_merge"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_update_system_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_data_api_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_seq_flow"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_pdf"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_mermaid_file"}, {"id": "metagpt/actions/design_api.py:NEW_REQ_TEMPLATE"}, {"id": "metagpt/actions/design_api.py:ast.Constant:\n@Time : 2023/5/11 19:26\n@Author : alexanderwu\n@File : design_api.py\n@Modified By: mashenquan, 2023/11/27.\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n 2. According to the design in Section 2.2.3.5.3 of RFC 135, add incremental iteration functionality.\n@Modified By: mashenquan, 2023/12/5. Move the generation logic of the project name to WritePRD.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":11,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 19:26\\n@Author : alexanderwu\\n@File : design_api.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n 2. According to the design in Section 2.2.3.5.3 of RFC 135, add incremental iteration functionality.\\n@Modified By: mashenquan, 2023/12/5. Move the generation logic of the project name to WritePRD.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/design_api.py:json"}, {"id": "metagpt/actions/design_api.py:module:pathlib"}, {"id": "metagpt/actions/design_api.py:names:['Path']"}, {"id": "metagpt/actions/design_api.py:module:typing"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/actions/design_api.py:names:['Optional']"}, {"id": "metagpt/actions/design_api.py:module:metagpt.actions"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"Action\",\"ActionOutput\"]}}"}, {"id": "metagpt/actions/design_api.py:names:['Action', 'ActionOutput']"}, {"id": "metagpt/actions/design_api.py:module:metagpt.actions.design_api_an"}, {"id": 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"{\"lineno\":23,\"end_lineno\":28,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_prd_an\",\"names\":[\"PROJECT_NAME\",\"WP_IS_RELATIVE_NODE\",\"WP_ISSUE_TYPE_NODE\",\"WRITE_PRD_NODE\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['PROJECT_NAME', 'WP_IS_RELATIVE_NODE', 'WP_ISSUE_TYPE_NODE', 'WRITE_PRD_NODE']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.config"}, {"id": "{\"lineno\":29,\"end_lineno\":29,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.config\",\"names\":[\"CONFIG\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['CONFIG']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.const"}, {"id": "{\"lineno\":30,\"end_lineno\":37,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"BUGFIX_FILENAME\",\"COMPETITIVE_ANALYSIS_FILE_REPO\",\"DOCS_FILE_REPO\",\"PRD_PDF_FILE_REPO\",\"PRDS_FILE_REPO\",\"REQUIREMENT_FILENAME\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['BUGFIX_FILENAME', 'COMPETITIVE_ANALYSIS_FILE_REPO', 'DOCS_FILE_REPO', 'PRD_PDF_FILE_REPO', 'PRDS_FILE_REPO', 'REQUIREMENT_FILENAME']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.logs"}, {"id": "{\"lineno\":38,\"end_lineno\":38,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['logger']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.schema"}, {"id": "{\"lineno\":39,\"end_lineno\":39,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"BugFixContext\",\"Document\",\"Documents\",\"Message\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['BugFixContext', 'Document', 'Documents', 'Message']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":40,\"end_lineno\":40,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"CodeParser\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['CodeParser']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.utils.file_repository"}, {"id": "{\"lineno\":41,\"end_lineno\":41,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.file_repository\",\"names\":[\"FileRepository\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['FileRepository']"}, {"id": "metagpt/actions/write_prd.py:module:metagpt.utils.mermaid"}, {"id": "{\"lineno\":42,\"end_lineno\":42,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.mermaid\",\"names\":[\"mermaid_to_file\"]}}"}, {"id": "metagpt/actions/write_prd.py:names:['mermaid_to_file']"}, {"id": "{\"lineno\":44,\"end_lineno\":53,\"type_name\":\"ast.Assign\",\"tokens\":[\"CONTEXT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":55,\"end_lineno\":61,\"type_name\":\"ast.Assign\",\"tokens\":[\"NEW_REQ_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":64,\"end_lineno\":194,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"WritePRD\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_docstring.py:_simplify_python_code"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_SYSTEM"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_EXAMPLE_GOOGLE"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_EXAMPLE_NUMPY"}, {"id": "metagpt/actions/write_docstring.py:PYTHON_DOCSTRING_EXAMPLE_SPHINX"}, {"id": "metagpt/actions/write_docstring.py:_python_docstring_style"}, {"id": "metagpt/actions/write_docstring.py:ast.Constant:Code Docstring Generator.\n\nThis script provides a tool to automatically generate docstrings for Python code. It uses the specified style to create\ndocstrings for the given code and system text.\n\nUsage:\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\n\nArguments:\n filename The path to the Python file for which you want to generate docstrings.\n\nOptions:\n --overwrite If specified, overwrite the original file with the code containing docstrings.\n --style= Specify the style of the generated docstrings.\n Valid values: 'google', 'numpy', or 'sphinx'.\n Default: 'google'\n\nExample:\n python3 -m metagpt.actions.write_docstring ./metagpt/startup.py --overwrite False --style=numpy\n\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\nthe specified docstring style and adds them to the code.\n"}, {"id": "{\"lineno\":1,\"end_lineno\":23,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"Code Docstring Generator.\\n\\nThis script provides a tool to automatically generate docstrings for Python code. It uses the specified style to create\\ndocstrings for the given code and system text.\\n\\nUsage:\\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\\n\\nArguments:\\n filename The path to the Python file for which you want to generate docstrings.\\n\\nOptions:\\n --overwrite If specified, overwrite the original file with the code containing docstrings.\\n --style= Specify the style of the generated docstrings.\\n Valid values: 'google', 'numpy', or 'sphinx'.\\n Default: 'google'\\n\\nExample:\\n python3 -m metagpt.actions.write_docstring ./metagpt/startup.py --overwrite False --style=numpy\\n\\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\\nthe specified docstring style and adds them to the code.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_docstring.py:module:__future__"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"__future__\",\"names\":[\"annotations\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['annotations']"}, {"id": "metagpt/actions/write_docstring.py:ast"}, {"id": "{\"lineno\":26,\"end_lineno\":26,\"type_name\":\"ast.Import\",\"tokens\":[\"ast\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_docstring.py:module:pathlib"}, {"id": "{\"lineno\":27,\"end_lineno\":27,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['Path']"}, {"id": "metagpt/actions/write_docstring.py:module:typing"}, {"id": "{\"lineno\":28,\"end_lineno\":28,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Literal\",\"Optional\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['Literal', 'Optional']"}, {"id": "metagpt/actions/write_docstring.py:module:metagpt.actions.action"}, {"id": "{\"lineno\":30,\"end_lineno\":30,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['Action']"}, {"id": "metagpt/actions/write_docstring.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":31,\"end_lineno\":31,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"OutputParser\",\"aread\",\"awrite\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['OutputParser', 'aread', 'awrite']"}, {"id": "metagpt/actions/write_docstring.py:module:metagpt.utils.pycst"}, {"id": "{\"lineno\":32,\"end_lineno\":32,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.pycst\",\"names\":[\"merge_docstring\"]}}"}, {"id": "metagpt/actions/write_docstring.py:names:['merge_docstring']"}, {"id": "{\"lineno\":34,\"end_lineno\":54,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_SYSTEM\"],\"properties\":{}}"}, {"id": "{\"lineno\":58,\"end_lineno\":84,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_EXAMPLE_GOOGLE\"],\"properties\":{}}"}, {"id": "{\"lineno\":86,\"end_lineno\":122,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_EXAMPLE_NUMPY\"],\"properties\":{}}"}, {"id": "{\"lineno\":124,\"end_lineno\":147,\"type_name\":\"ast.Assign\",\"tokens\":[\"PYTHON_DOCSTRING_EXAMPLE_SPHINX\"],\"properties\":{}}"}, {"id": "{\"lineno\":149,\"end_lineno\":153,\"type_name\":\"ast.Assign\",\"tokens\":[\"_python_docstring_style\"],\"properties\":{}}"}, {"id": 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"metagpt/actions/fix_bug.py:names:['Action']"}, {"id": "{\"lineno\":10,\"end_lineno\":13,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"FixBug\"],\"properties\":{}}"}, {"id": "metagpt/actions/prepare_interview.py:QUESTIONS"}, {"id": "metagpt/actions/prepare_interview.py:ast.Constant:\n@Time : 2023/9/19 15:02\n@Author : DevXiaolan\n@File : prepare_interview.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/9/19 15:02\\n@Author : DevXiaolan\\n@File : prepare_interview.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/prepare_interview.py:module:metagpt.actions"}, {"id": "metagpt/actions/prepare_interview.py:names:['Action']"}, {"id": "metagpt/actions/prepare_interview.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/actions/prepare_interview.py:names:['ActionNode']"}, {"id": "{\"lineno\":11,\"end_lineno\":18,\"type_name\":\"ast.Assign\",\"tokens\":[\"QUESTIONS\"],\"properties\":{}}"}, {"id": "{\"lineno\":21,\"end_lineno\":25,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"PrepareInterview\"],\"properties\":{}}"}, {"id": "metagpt/actions/run_code.py:RunCode:_install_via_subprocess"}, {"id": "metagpt/actions/run_code.py:RunCode:_install_dependencies"}, {"id": "metagpt/actions/run_code.py:PROMPT_TEMPLATE"}, {"id": "metagpt/actions/run_code.py:CONTEXT"}, {"id": "metagpt/actions/run_code.py:ast.Constant:\n@Time : 2023/5/11 17:46\n@Author : alexanderwu\n@File : run_code.py\n@Modified By: mashenquan, 2023/11/27.\n 1. Mark the location of Console logs in the PROMPT_TEMPLATE with markdown code-block formatting to enhance\n the understanding for the LLM.\n 2. Fix bug: Add the \"install dependency\" operation.\n 3. Encapsulate the input of RunCode into RunCodeContext and encapsulate the output of RunCode into\n RunCodeResult to standardize and unify parameter passing between WriteCode, RunCode, and DebugError.\n 4. According to section 2.2.3.5.7 of RFC 135, change the method of transferring file content\n (code files, unit test files, log files) from using the message to using the file name.\n 5. Merged the `Config` class of send18:dev branch to take over the set/get operations of the Environment\n class.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":17,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 17:46\\n@Author : alexanderwu\\n@File : run_code.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. Mark the location of Console logs in the PROMPT_TEMPLATE with markdown code-block formatting to enhance\\n the understanding for the LLM.\\n 2. Fix bug: Add the \\\"install dependency\\\" operation.\\n 3. Encapsulate the input of RunCode into RunCodeContext and encapsulate the output of RunCode into\\n RunCodeResult to standardize and unify parameter passing between WriteCode, RunCode, and DebugError.\\n 4. According to section 2.2.3.5.7 of RFC 135, change the method of transferring file content\\n (code files, unit test files, log files) from using the message to using the file name.\\n 5. Merged the `Config` class of send18:dev branch to take over the set/get operations of the Environment\\n class.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/run_code.py:subprocess"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.Import\",\"tokens\":[\"subprocess\"],\"properties\":{}}"}, {"id": "metagpt/actions/run_code.py:module:typing"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Tuple\"]}}"}, {"id": "metagpt/actions/run_code.py:names:['Tuple']"}, {"id": "metagpt/actions/run_code.py:module:pydantic"}, {"id": "metagpt/actions/run_code.py:names:['Field']"}, {"id": "metagpt/actions/run_code.py:module:metagpt.actions.action"}, {"id": "metagpt/actions/run_code.py:names:['Action']"}, {"id": "metagpt/actions/run_code.py:module:metagpt.config"}, {"id": "metagpt/actions/run_code.py:names:['CONFIG']"}, {"id": "metagpt/actions/run_code.py:module:metagpt.logs"}, {"id": "{\"lineno\":25,\"end_lineno\":25,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"id": "metagpt/actions/run_code.py:names:['logger']"}, {"id": "metagpt/actions/run_code.py:module:metagpt.schema"}, {"id": "{\"lineno\":26,\"end_lineno\":26,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"RunCodeContext\",\"RunCodeResult\"]}}"}, {"id": "metagpt/actions/run_code.py:names:['RunCodeContext', 'RunCodeResult']"}, {"id": "metagpt/actions/run_code.py:module:metagpt.utils.exceptions"}, {"id": "{\"lineno\":27,\"end_lineno\":27,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.exceptions\",\"names\":[\"handle_exception\"]}}"}, {"id": "metagpt/actions/run_code.py:names:['handle_exception']"}, {"id": "{\"lineno\":29,\"end_lineno\":49,\"type_name\":\"ast.Assign\",\"tokens\":[\"PROMPT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":51,\"end_lineno\":75,\"type_name\":\"ast.Assign\",\"tokens\":[\"CONTEXT\"],\"properties\":{}}"}, {"id": "{\"lineno\":78,\"end_lineno\":162,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"RunCode\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_code_an_draft.py:main"}, {"id": "metagpt/actions/write_code_an_draft.py:REVIEW"}, {"id": "metagpt/actions/write_code_an_draft.py:LGTM"}, {"id": "metagpt/actions/write_code_an_draft.py:ACTIONS"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_DRAFT"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_MOVE_FUNCTION"}, {"id": "metagpt/actions/write_code_an_draft.py:REWRITE_CODE"}, {"id": "metagpt/actions/write_code_an_draft.py:CODE_REVIEW_CONTEXT"}, {"id": "metagpt/actions/write_code_an_draft.py:CODE_REVIEW_SMALLEST_CONTEXT"}, {"id": "metagpt/actions/write_code_an_draft.py:CODE_REVIEW_SAMPLE"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_CODE_NODE"}, {"id": "metagpt/actions/write_code_an_draft.py:WRITE_MOVE_NODE"}, {"id": "metagpt/actions/write_code_an_draft.py:CR_FOR_MOVE_FUNCTION_BY_3"}, {"id": "metagpt/actions/write_code_an_draft.py:ast.Constant:\n@Author : alexanderwu\n@File : write_review.py\n"}, {"id": "metagpt/actions/write_code_an_draft.py:asyncio"}, {"id": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.Import\",\"tokens\":[\"asyncio\"],\"properties\":{}}"}, {"id": "metagpt/actions/write_code_an_draft.py:module:typing"}, {"id": "metagpt/actions/write_code_an_draft.py:names:['List']"}, {"id": "metagpt/actions/write_code_an_draft.py:module:metagpt.actions"}, {"id": "metagpt/actions/write_code_an_draft.py:names:['Action']"}, {"id": "metagpt/actions/write_code_an_draft.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/actions/write_code_an_draft.py:names:['ActionNode']"}, {"id": "{\"lineno\":13,\"end_lineno\":22,\"type_name\":\"ast.Assign\",\"tokens\":[\"REVIEW\"],\"properties\":{}}"}, {"id": "{\"lineno\":24,\"end_lineno\":30,\"type_name\":\"ast.Assign\",\"tokens\":[\"LGTM\"],\"properties\":{}}"}, {"id": "{\"lineno\":32,\"end_lineno\":62,\"type_name\":\"ast.Assign\",\"tokens\":[\"ACTIONS\"],\"properties\":{}}"}, {"id": "{\"lineno\":64,\"end_lineno\":69,\"type_name\":\"ast.Assign\",\"tokens\":[\"WRITE_DRAFT\"],\"properties\":{}}"}, {"id": "{\"lineno\":72,\"end_lineno\":81,\"type_name\":\"ast.Assign\",\"tokens\":[\"WRITE_MOVE_FUNCTION\"],\"properties\":{}}"}, {"id": "{\"lineno\":84,\"end_lineno\":95,\"type_name\":\"ast.Assign\",\"tokens\":[\"REWRITE_CODE\"],\"properties\":{}}"}, {"id": "{\"lineno\":98,\"end_lineno\":417,\"type_name\":\"ast.Assign\",\"tokens\":[\"CODE_REVIEW_CONTEXT\"],\"properties\":{}}"}, {"id": "{\"lineno\":420,\"end_lineno\":490,\"type_name\":\"ast.Assign\",\"tokens\":[\"CODE_REVIEW_SMALLEST_CONTEXT\"],\"properties\":{}}"}, {"id": 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Remove useless `llm`\n"}, {"id": "{\"lineno\":3,\"end_lineno\":8,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/6/5 01:44\\n@Author : alexanderwu\\n@File : skill_manager.py\\n@Modified By: mashenquan, 2023/8/20. Remove useless `llm`\\n\"],\"properties\":{}}"}, {"id": "metagpt/management/skill_manager.py:module:metagpt.actions"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/management/skill_manager.py:names:['Action']"}, {"id": "metagpt/management/skill_manager.py:module:metagpt.const"}, {"id": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"PROMPT_PATH\"]}}"}, {"id": "metagpt/management/skill_manager.py:names:['PROMPT_PATH']"}, {"id": "metagpt/management/skill_manager.py:module:metagpt.document_store.chromadb_store"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.document_store.chromadb_store\",\"names\":[\"ChromaStore\"]}}"}, {"id": "metagpt/management/skill_manager.py:names:['ChromaStore']"}, {"id": "metagpt/management/skill_manager.py:module:metagpt.logs"}, {"id": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"id": "metagpt/management/skill_manager.py:names:['logger']"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.Assign\",\"tokens\":[\"Skill\"],\"properties\":{}}"}, {"id": "{\"lineno\":17,\"end_lineno\":74,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"SkillManager\"],\"properties\":{}}"}, {"id": "metagpt/management/skill_manager.py:__name__:__main__"}, {"id": "{\"lineno\":77,\"end_lineno\":79,\"type_name\":\"ast.If\",\"tokens\":[\"__name__\",\"__main__\"],\"properties\":{}}"}, {"id": "metagpt/roles/engineer.py:Engineer:__init__"}, {"id": "metagpt/roles/engineer.py:Engineer:_parse_tasks"}, {"id": "metagpt/roles/engineer.py:Engineer:_act_sp_with_cr"}, {"id": "metagpt/roles/engineer.py:Engineer:_act"}, {"id": "metagpt/roles/engineer.py:Engineer:_act_write_code"}, {"id": "metagpt/roles/engineer.py:Engineer:_act_summarize"}, {"id": "metagpt/roles/engineer.py:Engineer:_act_code_plan_and_change"}, {"id": "metagpt/roles/engineer.py:Engineer:_is_pass"}, {"id": "metagpt/roles/engineer.py:Engineer:_think"}, {"id": "metagpt/roles/engineer.py:Engineer:_new_coding_context"}, {"id": "metagpt/roles/engineer.py:Engineer:_new_coding_doc"}, {"id": "metagpt/roles/engineer.py:Engineer:_new_code_actions"}, {"id": "metagpt/roles/engineer.py:Engineer:_new_summarize_actions"}, {"id": "metagpt/roles/engineer.py:Engineer:_new_code_plan_and_change_action"}, {"id": "metagpt/roles/engineer.py:IS_PASS_PROMPT"}, {"id": "metagpt/roles/engineer.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : engineer.py\n@Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116:\n 1. Modify the data type of the `cause_by` value in the `Message` to a string, and utilize the new message\n distribution feature for message filtering.\n 2. Consolidate message reception and processing logic within `_observe`.\n 3. Fix bug: Add logic for handling asynchronous message processing when messages are not ready.\n 4. Supplemented the external transmission of internal messages.\n@Modified By: mashenquan, 2023-11-27.\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n 2. According to the design in Section 2.2.3.5.5 of RFC 135, add incremental iteration functionality.\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\n of SummarizeCode.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":18,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : engineer.py\\n@Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116:\\n 1. Modify the data type of the `cause_by` value in the `Message` to a string, and utilize the new message\\n distribution feature for message filtering.\\n 2. Consolidate message reception and processing logic within `_observe`.\\n 3. Fix bug: Add logic for handling asynchronous message processing when messages are not ready.\\n 4. Supplemented the external transmission of internal messages.\\n@Modified By: mashenquan, 2023-11-27.\\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n 2. According to the design in Section 2.2.3.5.5 of RFC 135, add incremental iteration functionality.\\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\\n of SummarizeCode.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/engineer.py:module:__future__"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"__future__\",\"names\":[\"annotations\"]}}"}, {"id": "metagpt/roles/engineer.py:names:['annotations']"}, {"id": "metagpt/roles/engineer.py:json"}, {"id": "{\"lineno\":22,\"end_lineno\":22,\"type_name\":\"ast.Import\",\"tokens\":[\"json\"],\"properties\":{}}"}, {"id": "metagpt/roles/engineer.py:os"}, {"id": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.Import\",\"tokens\":[\"os\"],\"properties\":{}}"}, {"id": "metagpt/roles/engineer.py:module:collections"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"collections\",\"names\":[\"defaultdict\"]}}"}, {"id": "metagpt/roles/engineer.py:names:['defaultdict']"}, {"id": 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"metagpt/roles/engineer.py:names:['FixBug']"}, {"id": "metagpt/roles/engineer.py:module:metagpt.actions.project_management_an"}, {"id": "{\"lineno\":30,\"end_lineno\":30,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.project_management_an\",\"names\":[\"REFINED_TASK_LIST\",\"TASK_LIST\"]}}"}, {"id": "metagpt/roles/engineer.py:names:['REFINED_TASK_LIST', 'TASK_LIST']"}, {"id": "metagpt/roles/engineer.py:module:metagpt.actions.summarize_code"}, {"id": "{\"lineno\":31,\"end_lineno\":31,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.summarize_code\",\"names\":[\"SummarizeCode\"]}}"}, {"id": "metagpt/roles/engineer.py:names:['SummarizeCode']"}, {"id": "metagpt/roles/engineer.py:module:metagpt.actions.write_code_plan_and_change_an"}, {"id": 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In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116, modify the data\n type of the `cause_by` value in the `Message` to a string, and utilize the new message filtering feature.\n@Modified By: mashenquan, 2023-11-27.\n 1. Following the think-act principle, solidify the task parameters when creating the\n WriteTest/RunCode/DebugError object, rather than passing them in when calling the run function.\n 2. According to Section 2.2.3.5.7 of RFC 135, change the method of transferring files from using the Message\n to using file references.\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\n of SummarizeCode.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : qa_engineer.py\\n@Modified By: mashenquan, 2023-11-1. In accordance with Chapter 2.2.1 and 2.2.2 of RFC 116, modify the data\\n type of the `cause_by` value in the `Message` to a string, and utilize the new message filtering feature.\\n@Modified By: mashenquan, 2023-11-27.\\n 1. Following the think-act principle, solidify the task parameters when creating the\\n WriteTest/RunCode/DebugError object, rather than passing them in when calling the run function.\\n 2. According to Section 2.2.3.5.7 of RFC 135, change the method of transferring files from using the Message\\n to using file references.\\n@Modified By: mashenquan, 2023-12-5. Enhance the workflow to navigate to WriteCode or QaEngineer based on the results\\n of SummarizeCode.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.actions"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"DebugError\",\"RunCode\",\"WriteTest\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['DebugError', 'RunCode', 'WriteTest']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.actions.summarize_code"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.summarize_code\",\"names\":[\"SummarizeCode\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['SummarizeCode']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.const"}, {"id": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"MESSAGE_ROUTE_TO_NONE\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['MESSAGE_ROUTE_TO_NONE']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.logs"}, {"id": "metagpt/roles/qa_engineer.py:names:['logger']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.roles"}, {"id": "metagpt/roles/qa_engineer.py:names:['Role']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.schema"}, {"id": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Document\",\"Message\",\"RunCodeContext\",\"TestingContext\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['Document', 'Message', 'RunCodeContext', 'TestingContext']"}, {"id": "metagpt/roles/qa_engineer.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str_set\",\"parse_recipient\"]}}"}, {"id": "metagpt/roles/qa_engineer.py:names:['any_to_str_set', 'parse_recipient']"}, {"id": "{\"lineno\":27,\"end_lineno\":181,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"QaEngineer\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:Teacher:__init__"}, {"id": "metagpt/roles/teacher.py:Teacher:_think"}, {"id": "metagpt/roles/teacher.py:Teacher:_react"}, {"id": "metagpt/roles/teacher.py:ast.Constant:\n@Time : 2023/7/27\n@Author : mashenquan\n@File : teacher.py\n@Desc : Used by Agent Store\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\n\n"}, {"id": "{\"lineno\":3,\"end_lineno\":10,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/7/27\\n@Author : mashenquan\\n@File : teacher.py\\n@Desc : Used by Agent Store\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/teacher.py:re"}, {"id": "metagpt/roles/teacher.py:module:metagpt.actions"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['UserRequirement']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.actions.write_teaching_plan"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_teaching_plan\",\"names\":[\"TeachingPlanBlock\",\"WriteTeachingPlanPart\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['TeachingPlanBlock', 'WriteTeachingPlanPart']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.logs"}, {"id": "metagpt/roles/teacher.py:names:['logger']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.roles"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['Role']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.schema"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['Message']"}, {"id": "metagpt/roles/teacher.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\",\"awrite\"]}}"}, {"id": "metagpt/roles/teacher.py:names:['any_to_str', 'awrite']"}, {"id": "{\"lineno\":22,\"end_lineno\":111,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Teacher\"],\"properties\":{}}"}, {"id": "metagpt/roles/product_manager.py:ProductManager:__init__"}, {"id": "metagpt/roles/product_manager.py:ProductManager:_think"}, {"id": "metagpt/roles/product_manager.py:ProductManager:_observe"}, {"id": "metagpt/roles/product_manager.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : product_manager.py\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":8,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : product_manager.py\\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.actions"}, {"id": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\",\"WritePRD\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['UserRequirement', 'WritePRD']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.actions.prepare_documents"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.prepare_documents\",\"names\":[\"PrepareDocuments\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['PrepareDocuments']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.roles.role"}, {"id": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.role\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['Role']"}, {"id": "metagpt/roles/product_manager.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_name\"]}}"}, {"id": "metagpt/roles/product_manager.py:names:['any_to_name']"}, {"id": "{\"lineno\":16,\"end_lineno\":51,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"ProductManager\"],\"properties\":{}}"}, {"id": "metagpt/roles/sales.py:Sales:__init__"}, {"id": "metagpt/roles/sales.py:Sales:_set_store"}, {"id": "metagpt/roles/sales.py:ast.Constant:\n@Time : 2023/5/25 17:21\n@Author : alexanderwu\n@File : sales.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/25 17:21\\n@Author : alexanderwu\\n@File : sales.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/sales.py:module:typing"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Optional']"}, {"id": "metagpt/roles/sales.py:module:pydantic"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Field']"}, {"id": "metagpt/roles/sales.py:module:metagpt.actions"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\",\"UserRequirement\"]}}"}, {"id": "metagpt/roles/sales.py:names:['SearchAndSummarize', 'UserRequirement']"}, {"id": "metagpt/roles/sales.py:module:metagpt.document_store.base_store"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.document_store.base_store\",\"names\":[\"BaseStore\"]}}"}, {"id": "metagpt/roles/sales.py:names:['BaseStore']"}, {"id": "metagpt/roles/sales.py:module:metagpt.roles"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/sales.py:names:['Role']"}, {"id": "metagpt/roles/sales.py:module:metagpt.tools"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools\",\"names\":[\"SearchEngineType\"]}}"}, {"id": "metagpt/roles/sales.py:names:['SearchEngineType']"}, {"id": "{\"lineno\":19,\"end_lineno\":42,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Sales\"],\"properties\":{}}"}, {"id": "metagpt/roles/searcher.py:Searcher:__init__"}, {"id": "metagpt/roles/searcher.py:Searcher:_act_sp"}, {"id": "metagpt/roles/searcher.py:Searcher:_act"}, {"id": "metagpt/roles/searcher.py:ast.Constant:\n@Time : 2023/5/23 17:25\n@Author : alexanderwu\n@File : searcher.py\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":9,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/23 17:25\\n@Author : alexanderwu\\n@File : searcher.py\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/searcher.py:module:pydantic"}, {"id": "metagpt/roles/searcher.py:names:['Field']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['SearchAndSummarize']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions.action_node"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['ActionNode']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.actions.action_output"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_output\",\"names\":[\"ActionOutput\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['ActionOutput']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.logs"}, {"id": "metagpt/roles/searcher.py:names:['logger']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.roles"}, {"id": "metagpt/roles/searcher.py:names:['Role']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.schema"}, {"id": "metagpt/roles/searcher.py:names:['Message']"}, {"id": "metagpt/roles/searcher.py:module:metagpt.tools"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools\",\"names\":[\"SearchEngineType\"]}}"}, {"id": "metagpt/roles/searcher.py:names:['SearchEngineType']"}, {"id": "{\"lineno\":22,\"end_lineno\":78,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Searcher\"],\"properties\":{}}"}, {"id": "metagpt/roles/assistant.py:Assistant:__init__"}, {"id": "metagpt/roles/assistant.py:Assistant:_plan"}, {"id": "metagpt/roles/assistant.py:ast.Constant:\n@Time : 2023/8/7\n@Author : mashenquan\n@File : assistant.py\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\n make these symbols configurable and standardized, making the process of building flows more convenient.\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\n configuration file.\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\n indicates that further reasoning cannot continue.\n\n"}, {"id": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/8/7\\n@Author : mashenquan\\n@File : assistant.py\\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\\n make these symbols configurable and standardized, making the process of building flows more convenient.\\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\\n configuration file.\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\\n indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/assistant.py:module:enum"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"enum\",\"names\":[\"Enum\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Enum']"}, {"id": "metagpt/roles/assistant.py:module:pathlib"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Path']"}, {"id": "metagpt/roles/assistant.py:module:typing"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Optional']"}, {"id": "metagpt/roles/assistant.py:module:pydantic"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Field']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.actions.skill_action"}, {"id": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.skill_action\",\"names\":[\"ArgumentsParingAction\",\"SkillAction\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['ArgumentsParingAction', 'SkillAction']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.actions.talk_action"}, {"id": "{\"lineno\":24,\"end_lineno\":24,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.talk_action\",\"names\":[\"TalkAction\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['TalkAction']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.learn.skill_loader"}, {"id": "{\"lineno\":25,\"end_lineno\":25,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.learn.skill_loader\",\"names\":[\"SkillsDeclaration\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['SkillsDeclaration']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.logs"}, {"id": "metagpt/roles/assistant.py:names:['logger']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.memory.brain_memory"}, {"id": "{\"lineno\":27,\"end_lineno\":27,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.memory.brain_memory\",\"names\":[\"BrainMemory\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['BrainMemory']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.roles"}, {"id": "{\"lineno\":28,\"end_lineno\":28,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Role']"}, {"id": "metagpt/roles/assistant.py:module:metagpt.schema"}, {"id": "{\"lineno\":29,\"end_lineno\":29,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"id": "metagpt/roles/assistant.py:names:['Message']"}, {"id": "{\"lineno\":32,\"end_lineno\":34,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"MessageType\"],\"properties\":{}}"}, {"id": "{\"lineno\":37,\"end_lineno\":139,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"Assistant\"],\"properties\":{}}"}, {"id": "metagpt/roles/__init__.py"}, {"id": "metagpt/roles/__init__.py:__all__"}, {"id": "metagpt/roles/__init__.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : __init__.py\n"}, {"id": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : __init__.py\\n\"],\"properties\":{}}"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.role"}, {"id": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.role\",\"names\":[\"Role\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['Role']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.architect"}, {"id": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.architect\",\"names\":[\"Architect\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['Architect']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.project_manager"}, {"id": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.project_manager\",\"names\":[\"ProjectManager\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['ProjectManager']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.product_manager"}, {"id": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.product_manager\",\"names\":[\"ProductManager\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['ProductManager']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.engineer"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.engineer\",\"names\":[\"Engineer\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['Engineer']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.qa_engineer"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.qa_engineer\",\"names\":[\"QaEngineer\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['QaEngineer']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.searcher"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.searcher\",\"names\":[\"Searcher\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['Searcher']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.sales"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.sales\",\"names\":[\"Sales\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['Sales']"}, {"id": "metagpt/roles/__init__.py:module:metagpt.roles.customer_service"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles.customer_service\",\"names\":[\"CustomerService\"]}}"}, {"id": "metagpt/roles/__init__.py:names:['CustomerService']"}, {"id": "{\"lineno\":20,\"end_lineno\":30,\"type_name\":\"ast.Assign\",\"tokens\":[\"__all__\"],\"properties\":{}}"}, {"id": "metagpt/roles/role.py:Role:__init__"}, {"id": 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mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\n consolidated within the `_observe` function.\n 2. Standardize the message filtering for string label matching. Role objects can access the message labels\n they've subscribed to through the `subscribed_tags` property.\n 3. Move the message receive buffer from the global variable `self.rc.env.memory` to the role's private variable\n `self.rc.msg_buffer` for easier message identification and asynchronous appending of messages.\n 4. Standardize the way messages are passed: `publish_message` sends messages out, while `put_message` places\n messages into the Role object's private message receive buffer. There are no other message transmit methods.\n 5. Standardize the parameters for the `run` function: the `test_message` parameter is used for testing purposes\n only. In the normal workflow, you should use `publish_message` or `put_message` to transmit messages.\n@Modified By: mashenquan, 2023-11-4. According to the routing feature plan in Chapter 2.2.3.2 of RFC 113, the routing\n functionality is to be consolidated into the `Environment` class.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":21,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:42\\n@Author : alexanderwu\\n@File : role.py\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\\n consolidated within the `_observe` function.\\n 2. 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According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/debug_error.py:re"}, {"id": "metagpt/actions/debug_error.py:module:pydantic"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['Field']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.actions.action"}, {"id": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['Action']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.logs"}, {"id": "metagpt/actions/debug_error.py:names:['logger']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.schema"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"RunCodeContext\",\"RunCodeResult\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['RunCodeContext', 'RunCodeResult']"}, {"id": "metagpt/actions/debug_error.py:module:metagpt.utils.common"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"CodeParser\"]}}"}, {"id": "metagpt/actions/debug_error.py:names:['CodeParser']"}, {"id": "{\"lineno\":20,\"end_lineno\":45,\"type_name\":\"ast.Assign\",\"tokens\":[\"PROMPT_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":48,\"end_lineno\":75,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"DebugError\"],\"properties\":{}}"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_new_system_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_merge"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_update_system_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_data_api_design"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_seq_flow"}, {"id": "metagpt/actions/design_api.py:WriteDesign:_save_mermaid_file"}, {"id": "metagpt/actions/design_api.py:NEW_REQ_TEMPLATE"}, {"id": "metagpt/actions/design_api.py:ast.Constant:\n@Time : 2023/5/11 19:26\n@Author : alexanderwu\n@File : design_api.py\n@Modified By: mashenquan, 2023/11/27.\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\n 2. According to the design in Section 2.2.3.5.3 of RFC 135, add incremental iteration functionality.\n@Modified By: mashenquan, 2023/12/5. Move the generation logic of the project name to WritePRD.\n"}, {"id": "{\"lineno\":3,\"end_lineno\":11,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 19:26\\n@Author : alexanderwu\\n@File : design_api.py\\n@Modified By: mashenquan, 2023/11/27.\\n 1. According to Section 2.2.3.1 of RFC 135, replace file data in the message with the file name.\\n 2. According to the design in Section 2.2.3.5.3 of RFC 135, add incremental iteration functionality.\\n@Modified By: mashenquan, 2023/12/5. Move the generation logic of the project name to WritePRD.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/design_api.py:json"}, {"id": "metagpt/actions/design_api.py:module:pathlib"}, {"id": "metagpt/actions/design_api.py:names:['Path']"}, {"id": "metagpt/actions/design_api.py:module:typing"}, {"id": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"id": "metagpt/actions/design_api.py:names:['Optional']"}, {"id": "metagpt/actions/design_api.py:module:metagpt.actions"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"Action\",\"ActionOutput\"]}}"}, {"id": "metagpt/actions/design_api.py:names:['Action', 'ActionOutput']"}, {"id": "metagpt/actions/design_api.py:module:metagpt.actions.design_api_an"}, {"id": 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It uses the specified style to create\ndocstrings for the given code and system text.\n\nUsage:\n python3 -m metagpt.actions.write_docstring [--overwrite] [--style=]\n\nArguments:\n filename The path to the Python file for which you want to generate docstrings.\n\nOptions:\n --overwrite If specified, overwrite the original file with the code containing docstrings.\n --style= Specify the style of the generated docstrings.\n Valid values: 'google', 'numpy', or 'sphinx'.\n Default: 'google'\n\nExample:\n python3 -m metagpt.actions.write_docstring ./metagpt/startup.py --overwrite False --style=numpy\n\nThis script uses the 'fire' library to create a command-line interface. It generates docstrings for the given Python code using\nthe specified docstring style and adds them to the code.\n"}, {"id": "{\"lineno\":1,\"end_lineno\":23,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"Code Docstring Generator.\\n\\nThis script provides a tool to automatically generate docstrings for Python code. 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According to the design in Section 2.2.3.5.4 of RFC 135, add incremental iteration functionality.\\n\"],\"properties\":{}}"}, {"id": "metagpt/actions/project_management.py:json"}, {"id": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.Import\",\"tokens\":[\"json\"],\"properties\":{}}"}, {"id": "metagpt/actions/project_management.py:module:typing"}, {"id": "metagpt/actions/project_management.py:names:['Optional']"}, {"id": "metagpt/actions/project_management.py:module:metagpt.actions.action"}, {"id": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action\",\"names\":[\"Action\"]}}"}, {"id": "metagpt/actions/project_management.py:names:['Action']"}, {"id": "metagpt/actions/project_management.py:module:metagpt.actions.action_output"}, {"id": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_output\",\"names\":[\"ActionOutput\"]}}"}, {"id": "metagpt/actions/project_management.py:names:['ActionOutput']"}, {"id": "metagpt/actions/project_management.py:module:metagpt.actions.project_management_an"}, {"id": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.project_management_an\",\"names\":[\"PM_NODE\",\"REFINED_PM_NODE\"]}}"}, {"id": "metagpt/actions/project_management.py:names:['PM_NODE', 'REFINED_PM_NODE']"}, {"id": "metagpt/actions/project_management.py:module:metagpt.const"}, {"id": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"PACKAGE_REQUIREMENTS_FILENAME\"]}}"}, {"id": "metagpt/actions/project_management.py:names:['PACKAGE_REQUIREMENTS_FILENAME']"}, {"id": "metagpt/actions/project_management.py:module:metagpt.logs"}, {"id": "metagpt/actions/project_management.py:names:['logger']"}, {"id": "metagpt/actions/project_management.py:module:metagpt.schema"}, {"id": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Document\",\"Documents\"]}}"}, {"id": "metagpt/actions/project_management.py:names:['Document', 'Documents']"}, {"id": "{\"lineno\":23,\"end_lineno\":29,\"type_name\":\"ast.Assign\",\"tokens\":[\"NEW_REQ_TEMPLATE\"],\"properties\":{}}"}, {"id": "{\"lineno\":32,\"end_lineno\":96,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"WriteTasks\"],\"properties\":{}}"}, {"id": "metagpt/actions/action_node.py:ActionNode:__init__"}, {"id": "metagpt/actions/action_node.py:ActionNode:__str__"}, {"id": "metagpt/actions/action_node.py:ActionNode:__repr__"}, {"id": "metagpt/actions/action_node.py:ActionNode:_compile_f"}, {"id": "metagpt/actions/action_node.py:ActionNode:_aask_v1"}, {"id": "metagpt/actions/action_node.py:ActionNode:_makeup_nodes_output_with_req"}, {"id": "metagpt/actions/action_node.py:ActionNode:_makeup_nodes_output_with_comment"}, {"id": "metagpt/actions/action_node.py:dict_to_markdown"}, {"id": "metagpt/actions/action_node.py:TAG"}, {"id": "metagpt/actions/action_node.py:LANGUAGE_CONSTRAINT"}, {"id": "metagpt/actions/action_node.py:FORMAT_CONSTRAINT"}, {"id": "metagpt/actions/action_node.py:SIMPLE_TEMPLATE"}, {"id": "metagpt/actions/action_node.py:REVIEW_TEMPLATE"}, {"id": "metagpt/actions/action_node.py:REVISE_TEMPLATE"}, {"id": "metagpt/actions/action_node.py:ast.Constant:\n@Time : 2023/12/11 18:45\n@Author : alexanderwu\n@File : action_node.py\n\nNOTE: You should use typing.List instead of list to do type annotation. 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"{\"name\":\"TeachingPlanBlock\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"COURSE_TITLE\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"DATA_BEGIN_TAG\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"DATA_END_TAG\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"FORMATION\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"PROMPT_TEMPLATE\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"PROMPT_TITLE_TEMPLATE\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"TOPICS\",\"visibility\":\"+\",\"value_type\":\"list\",\"default_value\":\"\"},{\"name\":\"TOPIC_STATEMENTS\",\"visibility\":\"+\",\"value_type\":\"dict\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"Team\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"cost_manager\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"env\",\"visibility\":\"+\",\"value_type\":\"Optional[Environment]\",\"default_value\":\"\"},{\"name\":\"idea\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"investment\",\"visibility\":\"+\",\"value_type\":\"float\",\"default_value\":\"\"},{\"name\":\"model_config\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"TestingContext\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"code_doc\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"filename\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"test_doc\",\"visibility\":\"+\",\"value_type\":\"Optional[Document]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ThoughtNode\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"id\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"valid_status\",\"visibility\":\"+\",\"value_type\":\"bool\",\"default_value\":\"\"},{\"name\":\"value\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ThoughtSolverBase\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"config\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"llm\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"model_config\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"thought_tree\",\"visibility\":\"+\",\"value_type\":\"Optional[ThoughtTree]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ThoughtSolverConfig\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"evaluator\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"max_steps\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"},{\"name\":\"method_select\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"n_generate_sample\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"},{\"name\":\"n_select_sample\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"},{\"name\":\"n_solution_sample\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"},{\"name\":\"parser\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ThoughtTree\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"all_nodes\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"TokenCostManager\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"total_completion_tokens\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"total_prompt_tokens\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ToolUse\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"tool_name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"Translator\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"TreeofThought\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"config\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"solver\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"strategy\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"TutorialAssistant\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"constraints\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"goal\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"language\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"main_title\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"profile\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"topic\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"total_content\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"UMLClassAttribute\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"default_value\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"value_type\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"UMLClassMeta\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"visibility\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"UMLClassMethod\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"args\",\"visibility\":\"+\",\"value_type\":\"List[UMLClassAttribute]\",\"default_value\":\"\"},{\"name\":\"return_type\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"UMLClassView\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"attributes\",\"visibility\":\"+\",\"value_type\":\"List[UMLClassAttribute]\",\"default_value\":\"\"},{\"name\":\"methods\",\"visibility\":\"+\",\"value_type\":\"List[UMLClassMethod]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"UTGenerator\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"chatgpt_method\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"icl_sample\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"questions_path\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"swagger_file\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"template_prefix\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"ut_py_path\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"Usage\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"prompt_tokens\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"},{\"name\":\"total_tokens\",\"visibility\":\"+\",\"value_type\":\"int\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"UserMessage\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"UserRequirement\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"VisualDiGraphRepo\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"VisualGraphRepo\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"graph_db\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WDMHttpProxyClient\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"WebBrowseAndSummarize\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"browse_func\",\"visibility\":\"+\",\"value_type\":\"Optional[Union[Callable[[list[str]],None],None]]\",\"default_value\":\"\"},{\"name\":\"desc\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"web_browser_engine\",\"visibility\":\"+\",\"value_type\":\"Optional[WebBrowserEngine]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WebBrowserEngine\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"engine\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"run_func\",\"visibility\":\"+\",\"value_type\":\"Callable[...,Coroutine[Any,Any,WebPage\\\\|list[WebPage]]]\\\\|None\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WebBrowserEngineType\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WebPage\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"html\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"inner_text\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"soup\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"title\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"url\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WikiHowTemplate\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"WorkspaceConfig\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"path\",\"visibility\":\"+\",\"value_type\":\"Path\",\"default_value\":\"\"},{\"name\":\"uid\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"use_uid\",\"visibility\":\"+\",\"value_type\":\"bool\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteCode\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteCodeAN\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"WriteCodePlanAndChange\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteCodeReview\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteContent\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"directory\",\"visibility\":\"+\",\"value_type\":\"dict\",\"default_value\":\"\"},{\"name\":\"language\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteDesign\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"desc\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteDirectory\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"language\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteDocstring\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"desc\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WritePRD\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"project_name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WritePRDReview\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"desc\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"prd\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"prd_review_prompt_template\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteReview\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteTasks\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteTeachingPlanPart\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"language\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"rsp\",\"visibility\":\"+\",\"value_type\":\"Optional[str]\",\"default_value\":\"\"},{\"name\":\"topic\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WriteTest\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"i_context\",\"visibility\":\"+\",\"value_type\":\"Optional[TestingContext]\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"WsParam\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"api_key\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"api_secret\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"app_id\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"host\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"message\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"path\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"spark_url\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"YamlModel\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"extra_fields\",\"visibility\":\"+\",\"value_type\":\"Optional[Dict[str,str]]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"YamlModelWithoutDefault\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"ZhiPuAILLM\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"config\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"llm\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"model\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"use_system_prompt\",\"visibility\":\"+\",\"value_type\":\"bool\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ZhiPuEvent\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"ZhiPuModelAPI\",\"visibility\":\"+\",\"attributes\":[],\"methods\":[]}"}, {"id": "{\"name\":\"_AgentSkill\",\"visibility\":\"#\",\"attributes\":[{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "{\"name\":\"_VisualClassView\",\"visibility\":\"#\",\"attributes\":[{\"name\":\"aggregations\",\"visibility\":\"+\",\"value_type\":\"List[str]\",\"default_value\":\"\"},{\"name\":\"compositions\",\"visibility\":\"+\",\"value_type\":\"List[str]\",\"default_value\":\"\"},{\"name\":\"generalizations\",\"visibility\":\"+\",\"value_type\":\"List[str]\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"package\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"uml\",\"visibility\":\"+\",\"value_type\":\"Optional[UMLClassView]\",\"default_value\":\"\"}],\"methods\":[]}"}, {"id": "\nsequenceDiagram\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n```\n"}, {"id": "20240131222415604:{\nsequenceDiagram\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n```\n}"}, {"id": "?:User"}, {"id": "?:Typer"}, {"id": "{\"description\":\"This source code defines a Context class that represents the environment context for MetaGPT. It contains methods for creating a new os.environ object and for obtaining a LLM (Language Model) instance with a cost manager.\",\"use_cases\":[{\"description\":\"Create a new os.environ object\",\"inputs\":[],\"outputs\":[\"env\"],\"actors\":[\"ProjectRepo\",\"GitRepository\",\"Path\"],\"steps\":[\"Copy the current os.environ object\",\"Return the copied os.environ object\"],\"reason\":\"When the system needs to create a new os.environ object for the MetaGPT environment\"},{\"description\":\"Obtain a LLM (Language Model) instance with a cost manager\",\"inputs\":[],\"outputs\":[\"llm\"],\"actors\":[\"BaseLLM\",\"LLMConfig\"],\"steps\":[\"Create a new LLM instance based on the configuration\",\"Set the cost manager for the LLM instance\",\"Return the LLM instance\"],\"reason\":\"When the system needs to obtain a LLM instance with a cost manager for the MetaGPT environment\"}],\"relationship\":[\"The 'Obtain a LLM (Language Model) instance with a cost manager' use case depends on the 'Create a new os.environ object' use case as it requires the environment context to be set up before obtaining the LLM instance.\"]}"}, {"id": "\nsequenceDiagram\n participant ProjectRepo\n participant GitRepository\n participant Path\n participant BaseLLM\n participant LLMConfig\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n"}, {"id": "\nsequenceDiagram\n participant ProjectRepo\n participant GitRepository\n participant Path\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131222533217:{\nsequenceDiagram\n participant ProjectRepo\n participant GitRepository\n participant Path\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines a class 'ProjectRepo' which is a file repository for a project. It contains methods to interact with the project's files and resources.\",\"use_cases\":[{\"description\":\"Retrieve project requirements\",\"inputs\":[],\"outputs\":[\"requirement\"],\"actors\":[\"ProjectRepo\"],\"steps\":[\"The 'ProjectRepo' class retrieves the project requirements from the 'docs' attribute using the 'requirement' property.\"],\"reason\":\"When the system needs to access the project requirements.\"},{\"description\":\"Check if code files exist\",\"inputs\":[],\"outputs\":[\"code_files_exist\"],\"actors\":[\"ProjectRepo\"],\"steps\":[\"The 'ProjectRepo' class checks if the code files exist by accessing the 'srcs' attribute and its 'all_files' property.\"],\"reason\":\"When the system needs to verify the existence of code files.\"},{\"description\":\"Set source path for the project\",\"inputs\":[\"path\"],\"outputs\":[\"ProjectRepo\"],\"actors\":[\"ProjectRepo\"],\"steps\":[\"The 'ProjectRepo' class sets the source path for the project by using the 'with_src_path' method with the specified 'path'.\"],\"reason\":\"When the system needs to update the source path for the project.\"}],\"relationship\":[\"The 'Retrieve project requirements' use case is related to the 'Check if code files exist' use case as both involve accessing project files and resources.\",\"The 'Set source path for the project' use case is related to the 'Check if code files exist' use case as setting the source path may impact the existence of code files.\"]}"}, {"id": "\nsequenceDiagram\n participant ProjectRepo\n participant str\n participant Path\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n"}, {"id": "\nsequenceDiagram\n participant ProjectRepo\n participant str\n participant Path\n participant GitRepository\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131222606110:{\nsequenceDiagram\n participant ProjectRepo\n participant str\n participant Path\n participant GitRepository\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:str"}, {"id": "{\"description\":\"This source code defines a class `GitRepository` that represents a Git repository. It provides methods to interact with the repository, such as opening an existing repository, initializing a new repository, adding or removing files from the staging area, committing changes, deleting the repository, and more.\",\"use_cases\":[{\"description\":\"Open an existing Git repository or initialize a new one.\",\"inputs\":[\"local_path\",\"auto_init\"],\"outputs\":[],\"actors\":[\"FileRepository\"],\"steps\":[\"Check if the provided path is a Git repository\",\"If it is a Git repository, open it and set the repository attribute\",\"If it is not a Git repository and auto_init is True, initialize a new Git repository at the provided path\"],\"reason\":\"When a user wants to open an existing Git repository or initialize a new one for further operations.\"},{\"description\":\"Add or remove files from the staging area based on the provided changes.\",\"inputs\":[\"files\"],\"outputs\":[],\"actors\":[\"FileRepository\"],\"steps\":[\"Iterate through the provided files and their change types\",\"Add or remove files from the staging area based on the change types\"],\"reason\":\"When a user wants to stage changes in the Git repository.\"},{\"description\":\"Commit the staged changes with the given comments.\",\"inputs\":[\"comments\"],\"outputs\":[],\"actors\":[\"FileRepository\"],\"steps\":[\"Commit the staged changes with the provided comments\"],\"reason\":\"When a user wants to commit the staged changes in the Git repository.\"},{\"description\":\"Delete the entire repository directory.\",\"inputs\":[],\"outputs\":[],\"actors\":[\"FileRepository\"],\"steps\":[\"Delete the entire repository directory if it is valid\"],\"reason\":\"When a user wants to delete the entire Git repository directory.\"},{\"description\":\"Return a dictionary of changed files and their change types.\",\"inputs\":[],\"outputs\":[\"changed_files\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Retrieve the untracked files and their change types\",\"Retrieve the changed files and their change types from the index\",\"Combine the untracked and changed files into a dictionary\"],\"reason\":\"When a user wants to get the changed files in the Git repository.\"},{\"description\":\"Check if the specified directory is a Git repository.\",\"inputs\":[\"local_path\"],\"outputs\":[\"is_git_dir\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Check if the specified directory contains a .git directory\"],\"reason\":\"When a user wants to check if a directory is a Git repository.\"},{\"description\":\"Check if the Git repository is valid (exists and is initialized).\",\"inputs\":[],\"outputs\":[\"is_valid\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Check if the repository attribute is not None\"],\"reason\":\"When a user wants to check if the Git repository is valid.\"},{\"description\":\"Return the Git repository's status as a string.\",\"inputs\":[],\"outputs\":[\"status\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Return the status of the Git repository using GitPython\"],\"reason\":\"When a user wants to get the status of the Git repository.\"},{\"description\":\"Return the path to the working directory of the Git repository.\",\"inputs\":[],\"outputs\":[\"workdir\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Return the path to the working directory if the repository is valid\"],\"reason\":\"When a user wants to get the working directory of the Git repository.\"},{\"description\":\"Archive the current state of the Git repository.\",\"inputs\":[\"comments\"],\"outputs\":[],\"actors\":[\"FileRepository\"],\"steps\":[\"Add all changed files to the staging area\",\"Commit the changes with the provided comments\"],\"reason\":\"When a user wants to archive the current state of the Git repository.\"},{\"description\":\"Create a new instance of FileRepository associated with this Git repository.\",\"inputs\":[\"relative_path\"],\"outputs\":[\"FileRepository\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Create a new instance of FileRepository with the provided relative path\"],\"reason\":\"When a user wants to create a new instance of FileRepository associated with the Git repository.\"},{\"description\":\"Get the dependency file associated with the Git repository.\",\"inputs\":[],\"outputs\":[\"DependencyFile\"],\"actors\":[\"FileRepository\"],\"steps\":[\"If the dependency file is not available, create a new instance of DependencyFile\"],\"reason\":\"When a user wants to get the dependency file associated with the Git repository.\"},{\"description\":\"Rename the root directory of the Git repository.\",\"inputs\":[\"new_dir_name\"],\"outputs\":[],\"actors\":[\"FileRepository\"],\"steps\":[\"Rename the root directory of the Git repository to the provided new name\"],\"reason\":\"When a user wants to rename the root directory of the Git repository.\"},{\"description\":\"Retrieve a list of files in the specified relative path.\",\"inputs\":[\"relative_path\",\"root_relative_path\",\"filter_ignored\"],\"outputs\":[\"List\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Retrieve the list of files in the specified relative path\",\"Recursively retrieve files from subdirectories if present\",\"Filter the files based on .gitignore rules if required\"],\"reason\":\"When a user wants to retrieve a list of files in the specified relative path within the Git repository.\"},{\"description\":\"Filter a list of filenames based on .gitignore rules.\",\"inputs\":[\"filenames\",\"root_relative_path\"],\"outputs\":[\"List\"],\"actors\":[\"FileRepository\"],\"steps\":[\"Filter the list of filenames based on .gitignore rules\"],\"reason\":\"When a user wants to filter a list of filenames based on .gitignore rules.\"}],\"relationship\":[\"Open an existing Git repository or initialize a new one can be performed by FileRepository\",\"Add or remove files from the staging area based on the provided changes can be performed by FileRepository\",\"Commit the staged changes with the given comments can be performed by FileRepository\",\"Delete the entire repository directory can be performed by FileRepository\",\"Return a dictionary of changed files and their change types can be performed by FileRepository\",\"Check if the specified directory is a Git repository can be performed by FileRepository\",\"Check if the Git repository is valid (exists and is initialized) can be performed by FileRepository\",\"Return the Git repository's status as a string can be performed by FileRepository\",\"Return the path to the working directory of the Git repository can be performed by FileRepository\",\"Archive the current state of the Git repository can be performed by FileRepository\",\"Create a new instance of FileRepository associated with this Git repository can be performed by FileRepository\",\"Get the dependency file associated with the Git repository can be performed by FileRepository\",\"Rename the root directory of the Git repository can be performed by FileRepository\",\"Retrieve a list of files in the specified relative path can be performed by FileRepository\",\"Filter a list of filenames based on .gitignore rules can be performed by FileRepository\"]}"}, {"id": "\nsequenceDiagram\n participant FileRepository\n participant DependencyFile\n participant Path\n participant Path\\\\\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n"}, {"id": "\nsequenceDiagram\n participant FileRepository\n participant DependencyFile\n participant Path\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant GitRepository\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131222711914:{\nsequenceDiagram\n participant FileRepository\n participant DependencyFile\n participant Path\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant GitRepository\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"This source code defines a class representing a FileRepository associated with a Git repository. The class includes methods for saving, getting, and deleting files, as well as managing file dependencies and generating new filenames.\",\"use_cases\":[{\"description\":\"Save content to a file and update its dependencies.\",\"inputs\":[\"filename\",\"content\",\"dependencies\"],\"outputs\":[\"Document\"],\"actors\":[\"Document\",\"Path\",\"List\"],\"steps\":[\"Create the pathname for the file within the repository.\",\"Write the content to the file.\",\"Update the dependencies if provided.\",\"Return the saved document.\"],\"reason\":\"When new content needs to be saved to a file and its dependencies need to be updated.\"},{\"description\":\"Get the dependencies of a file.\",\"inputs\":[\"filename\"],\"outputs\":[\"Set\"],\"actors\":[\"Path\"],\"steps\":[\"Retrieve the pathname of the file within the repository.\",\"Get the dependencies of the file.\",\"Return the set of dependencies.\"],\"reason\":\"When the dependencies of a file need to be retrieved.\"},{\"description\":\"Get the dependencies of a file that have changed.\",\"inputs\":[\"filename\"],\"outputs\":[\"Set\"],\"actors\":[\"Path\"],\"steps\":[\"Get the dependencies of the file.\",\"Identify the changed dependent files.\",\"Return the set of changed dependencies.\"],\"reason\":\"When the dependencies of a file that have changed need to be retrieved.\"},{\"description\":\"Read the content of a file.\",\"inputs\":[\"filename\"],\"outputs\":[\"Document\",\"None\"],\"actors\":[\"Path\"],\"steps\":[\"Create a document instance for the file.\",\"Read the content of the file.\",\"Return the document with the content or None if the file does not exist.\"],\"reason\":\"When the content of a file needs to be read.\"},{\"description\":\"Get the content of all files in the repository.\",\"inputs\":[\"filter_ignored\"],\"outputs\":[\"List[Document]\"],\"actors\":[\"Path\"],\"steps\":[\"Retrieve the content of all files in the repository.\",\"Return a list of document instances representing the files.\"],\"reason\":\"When the content of all files in the repository needs to be retrieved.\"},{\"description\":\"Get the files in a directory that have changed.\",\"inputs\":[\"dir\"],\"outputs\":[\"List\"],\"actors\":[\"Path\"],\"steps\":[\"Identify the changed files within the directory.\",\"Return the list of changed files.\"],\"reason\":\"When the changed files within a directory need to be retrieved.\"},{\"description\":\"Generate a new filename based on the current timestamp and a UUID suffix.\",\"inputs\":[],\"outputs\":[\"str\"],\"actors\":[],\"steps\":[\"Generate a new filename based on the current timestamp and a UUID suffix.\",\"Return the new filename.\"],\"reason\":\"When a new filename needs to be generated.\"},{\"description\":\"Save content to a file and update its dependencies using a Document instance.\",\"inputs\":[\"doc\",\"dependencies\"],\"outputs\":[],\"actors\":[\"Document\",\"List\"],\"steps\":[\"Save the content of the document to a file.\",\"Update the dependencies if provided.\"],\"reason\":\"When the content of a document needs to be saved to a file and its dependencies need to be updated.\"},{\"description\":\"Save a Document instance as a PDF file.\",\"inputs\":[\"doc\",\"with_suffix\",\"dependencies\"],\"outputs\":[],\"actors\":[\"Document\",\"List\"],\"steps\":[\"Convert the content of the document to Markdown.\",\"Save it to a file with an optional specified suffix.\",\"Log the saved file.\"],\"reason\":\"When a document instance needs to be saved as a PDF file.\"},{\"description\":\"Delete a file from the file repository.\",\"inputs\":[\"filename\"],\"outputs\":[],\"actors\":[\"Path\"],\"steps\":[\"Delete the file from the file repository.\"],\"reason\":\"When a file needs to be deleted from the file repository.\"}],\"relationship\":[\"Save content to a file and update its dependencies is related to Get the dependencies of a file.\",\"Save content to a file and update its dependencies is related to Get the dependencies of a file that have changed.\",\"Save content to a file and update its dependencies is related to Read the content of a file.\",\"Save content to a file and update its dependencies is related to Get the content of all files in the repository.\",\"Save content to a file and update its dependencies is related to Get the files in a directory that have changed.\",\"Save content to a file and update its dependencies is related to Generate a new filename based on the current timestamp and a UUID suffix.\",\"Save content to a file and update its dependencies is related to Save content to a file and update its dependencies using a Document instance.\",\"Save content to a file and update its dependencies is related to Save a Document instance as a PDF file.\",\"Save content to a file and update its dependencies is related to Delete a file from the file repository.\"]}"}, {"id": "\nsequenceDiagram\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->> FileRepository: get_all(filter_ignored)\n FileRepository ->> FileRepository: retrieve content of all files\n FileRepository ->> Document: return list of document instances\n\n Document ->> FileRepository: get_change_dir_files(dir)\n FileRepository ->> FileRepository: identify changed files within directory\n FileRepository ->> Document: return list of changed files\n\n Document ->> FileRepository: save_doc(doc, dependencies)\n FileRepository ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository ->> Path: convert content of document to Markdown\n FileRepository ->> FileRepository: save content to file with optional suffix\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: delete(filename)\n FileRepository ->> Path: delete file from repository\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(filename, dependencies)\n"}, {"id": "\nsequenceDiagram\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant DependencyFile\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->> FileRepository: get_all(filter_ignored)\n FileRepository ->> FileRepository: retrieve content of all files\n FileRepository ->> Document: return list of document instances\n\n Document ->> FileRepository: get_change_dir_files(dir)\n FileRepository ->> FileRepository: identify changed files within directory\n FileRepository ->> Document: return list of changed files\n\n Document ->> FileRepository: save_doc(doc, dependencies)\n FileRepository ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository ->> Path: convert content of document to Markdown\n FileRepository ->> FileRepository: save content to file with optional suffix\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: delete(filename)\n FileRepository ->> Path: delete file from repository\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131222829147:{\nsequenceDiagram\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant DependencyFile\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->> FileRepository: get_all(filter_ignored)\n FileRepository ->> FileRepository: retrieve content of all files\n FileRepository ->> Document: return list of document instances\n\n Document ->> FileRepository: get_change_dir_files(dir)\n FileRepository ->> FileRepository: identify changed files within directory\n FileRepository ->> Document: return list of changed files\n\n Document ->> FileRepository: save_doc(doc, dependencies)\n FileRepository ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository ->> Path: convert content of document to Markdown\n FileRepository ->> FileRepository: save content to file with optional suffix\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: delete(filename)\n FileRepository ->> Path: delete file from repository\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:List"}, {"id": "?:aiofiles"}, {"id": "?:os"}, {"id": "?:datetime"}, {"id": "?:json"}, {"id": "{\"description\":\"The source code is a python class representing a DependencyFile for managing dependencies. It includes methods for loading, saving, updating, getting, and deleting dependencies from a file asynchronously.\",\"use_cases\":[{\"description\":\"Load dependencies from the file asynchronously.\",\"inputs\":[],\"outputs\":[],\"actors\":[\"User\"],\"steps\":[\"Check if the file exists\",\"Read the file asynchronously\",\"Parse the JSON data\",\"Update the internal dependencies\"],\"reason\":\"When the system needs to load dependencies from the file.\"},{\"description\":\"Save dependencies to the file asynchronously.\",\"inputs\":[],\"outputs\":[],\"actors\":[\"User\"],\"steps\":[\"Convert dependencies to JSON\",\"Open the file for writing asynchronously\",\"Write the JSON data to the file\"],\"reason\":\"When the system needs to save dependencies to the file.\"},{\"description\":\"Update dependencies for a file asynchronously.\",\"inputs\":[\"filename\",\"dependencies\",\"persist\"],\"outputs\":[],\"actors\":[\"User\"],\"steps\":[\"Load dependencies if persist is true\",\"Get the relative path of the filename\",\"Update the internal dependencies with the new dependencies\",\"Persist the changes if persist is true\"],\"reason\":\"When the system needs to update dependencies for a file.\"},{\"description\":\"Get dependencies for a file asynchronously.\",\"inputs\":[\"filename\",\"persist\"],\"outputs\":[\"A set of dependencies\"],\"actors\":[\"User\"],\"steps\":[\"Load dependencies if persist is true\",\"Get the relative path of the filename\",\"Return the set of dependencies for the file\"],\"reason\":\"When the system needs to retrieve dependencies for a file.\"},{\"description\":\"Delete the dependency file.\",\"inputs\":[],\"outputs\":[],\"actors\":[\"User\"],\"steps\":[\"Delete the dependency file if it exists\"],\"reason\":\"When the system needs to delete the dependency file.\"}],\"relationship\":[\"The 'Load dependencies from the file asynchronously' use case is related to 'Save dependencies to the file asynchronously' as it involves reading and writing to the file.\",\"The 'Update dependencies for a file asynchronously' use case is related to 'Get dependencies for a file asynchronously' as it involves updating and retrieving dependencies for a file.\"]}"}, {"id": "\nsequenceDiagram\n participant User\n participant DependencyFile\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n"}, {"id": "\nsequenceDiagram\n participant User\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant BaseLLM\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131222928045:{\nsequenceDiagram\n participant User\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant BaseLLM\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code is an abstract class that provides a series of standard capabilities for an AI assistant. It includes methods for sending and receiving messages, as well as methods for asynchronous completion and choice selection.\",\"use_cases\":[{\"description\":\"Send a message to the AI assistant and receive a response.\",\"inputs\":[\"msg\",\"system_msgs\",\"format_msgs\",\"timeout\",\"stream\"],\"outputs\":[\"rsp\"],\"actors\":[\"Message\",\"AsyncOpenAI\"],\"steps\":[\"Check if system messages are provided, if not, use the default system prompt\",\"Format the messages to be sent to the AI assistant, including user messages and system messages\",\"Send the formatted messages to the AI assistant and await a response\",\"Return the response from the AI assistant\"],\"reason\":\"When an external system needs to interact with the AI assistant by sending a message and receiving a response.\"},{\"description\":\"Send a batch of messages to the AI assistant and receive a concatenated response.\",\"inputs\":[\"msgs\",\"timeout\"],\"outputs\":[\"rsp_text\"],\"actors\":[\"Message\",\"AsyncOpenAI\"],\"steps\":[\"Iterate through the list of messages to be sent to the AI assistant\",\"Send each message to the AI assistant and await a response\",\"Concatenate the responses from the AI assistant\",\"Return the concatenated response\"],\"reason\":\"When an external system needs to sequentially send multiple messages to the AI assistant and receive a combined response.\"},{\"description\":\"Send a code-related message to the AI assistant and receive a response.\",\"inputs\":[\"messages\",\"timeout\"],\"outputs\":[\"rsp\"],\"actors\":[\"Message\",\"AsyncOpenAI\"],\"steps\":[\"Raise a NotImplementedError as this method is not implemented in the abstract class\"],\"reason\":\"N/A\"}],\"relationship\":[\"The 'Send a message to the AI assistant and receive a response' use case involves the 'Send a batch of messages to the AI assistant and receive a concatenated response' use case, as it utilizes the method for sending a single message to the AI assistant.\",\"The 'Send a message to the AI assistant and receive a response' use case involves the 'Send a code-related message to the AI assistant and receive a response' use case, as it utilizes the method for sending a single message to the AI assistant.\"]}"}, {"id": "\nsequenceDiagram\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n"}, {"id": "\nsequenceDiagram\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant User\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n\n"}, {"id": "20240131223021143:{\nsequenceDiagram\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant User\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n\n}"}, {"id": "{\"description\":\"This source code defines a Message class that represents a message with various attributes and methods for validation and serialization. It also includes methods for converting the message object to a dictionary and JSON string, as well as loading a message from a JSON string.\",\"use_cases\":[{\"description\":\"Create a new message with the given content, instruct content, role, cause by, sent from, and send to.\",\"inputs\":[\"content\",\"instruct_content\",\"role\",\"cause_by\",\"sent_from\",\"send_to\"],\"outputs\":[\"message_id\"],\"actors\":[\"User\"],\"steps\":[\"Validate and set the message ID if not provided\",\"Validate and set the instruct content if provided\",\"Validate and set the cause by if provided\",\"Validate and set the sent from if provided\",\"Validate and set the send to if provided\",\"Create a new message object with the provided data\",\"Return the message ID\"],\"reason\":\"When a user wants to create a new message with specific attributes.\"},{\"description\":\"Convert the message object to a dictionary containing role and content.\",\"inputs\":[],\"outputs\":[\"message_dict\"],\"actors\":[\"User\"],\"steps\":[\"Create a dictionary with role and content attributes of the message object\",\"Return the created dictionary\"],\"reason\":\"When a user needs to convert a message object to a dictionary.\"},{\"description\":\"Convert the message object to a JSON string.\",\"inputs\":[],\"outputs\":[\"json_string\"],\"actors\":[\"User\"],\"steps\":[\"Convert the message object to a JSON string\",\"Return the JSON string\"],\"reason\":\"When a user needs to convert a message object to a JSON string.\"},{\"description\":\"Load a message object from a JSON string.\",\"inputs\":[\"json_string\"],\"outputs\":[\"message_object\"],\"actors\":[\"User\"],\"steps\":[\"Parse the JSON string to a dictionary\",\"Create a message object from the dictionary\",\"Return the created message object\"],\"reason\":\"When a user needs to load a message object from a JSON string.\"}],\"relationship\":[\"Create a new message use case is related to Convert the message object to a dictionary use case and Convert the message object to a JSON string use case.\",\"Load a message object from a JSON string use case is independent of other use cases.\"]}"}, {"id": "\nsequenceDiagram\n participant User\n participant Message\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n"}, {"id": "\nsequenceDiagram\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223126916:{\nsequenceDiagram\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"This source code defines a class LLMConfig which represents the configuration for an LLM (Language Model) system. It includes various fields such as API key, base URL, model, app ID, and other parameters for controlling the behavior of the LLM system.\",\"use_cases\":[{\"description\":\"Configure LLM system\",\"inputs\":[\"api_key\",\"api_type\",\"base_url\",\"api_version\",\"model\",\"app_id\",\"api_secret\",\"domain\",\"max_token\",\"temperature\",\"top_p\",\"top_k\",\"repetition_penalty\",\"stop\",\"presence_penalty\",\"frequency_penalty\",\"best_of\",\"n\",\"stream\",\"logprobs\",\"top_logprobs\",\"timeout\",\"proxy\",\"calc_usage\"],\"outputs\":[],\"actors\":[\"System Administrator\"],\"steps\":[\"The system administrator provides the configuration parameters for the LLM system.\",\"The system validates the provided configuration parameters.\",\"The LLM system is configured with the provided parameters.\"],\"reason\":\"The external system needs to configure the LLM system with specific parameters to control its behavior and functionality.\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant SystemAdministrator\n participant LLMSystem\n\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n"}, {"id": "\nsequenceDiagram\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223231878:{\nsequenceDiagram\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:SystemAdministrator"}, {"id": "?:LLMSystem"}, {"id": "{\"description\":\"The source code defines a Team class that represents a team of agents working on a project. The team can hire roles, invest in the project, run and start a project, and run the company for a specified number of rounds.\",\"use_cases\":[{\"description\":\"Hire roles to cooperate\",\"inputs\":[\"roles\"],\"outputs\":[],\"actors\":[\"Team\"],\"steps\":[\"The team hires roles to cooperate on the project.\"],\"reason\":\"When the team needs to add new roles to the project.\"},{\"description\":\"Invest company\",\"inputs\":[\"investment\"],\"outputs\":[],\"actors\":[\"Team\"],\"steps\":[\"The team invests in the company.\",\"If the investment exceeds the maximum budget, a NoMoneyException is raised.\"],\"reason\":\"When the team needs to invest in the company.\"},{\"description\":\"Run a project from publishing user requirement\",\"inputs\":[\"idea\",\"send_to\"],\"outputs\":[],\"actors\":[\"Team\"],\"steps\":[\"The team runs a project based on the user's requirement.\",\"The idea is published to the team's environment for further processing.\"],\"reason\":\"When the team needs to start a new project based on user requirements.\"},{\"description\":\"Run company until target round or no money\",\"inputs\":[\"n_round\",\"idea\",\"send_to\",\"auto_archive\"],\"outputs\":[\"history\"],\"actors\":[\"Team\"],\"steps\":[\"The team runs the company for a specified number of rounds.\",\"If an idea is provided, it is used to run a project.\",\"The company is run until the target round is reached or there is no money left.\",\"The environment is archived if auto_archive is set to true.\"],\"reason\":\"When the team needs to run the company for a specified number of rounds.\"}],\"relationship\":[\"The 'Hire roles to cooperate' use case is related to the 'Invest company' use case as hiring roles may require investment.\",\"The 'Run a project from publishing user requirement' use case is related to the 'Run company until target round or no money' use case as running a project is part of running the company.\"]}"}, {"id": "\nsequenceDiagram\n participant Team\n participant Role\n participant Environment\n participant Context\n participant Path\n\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n\n Note right of Team: The 'Hire roles to cooperate' use case is related to the 'Invest company' use case as hiring roles may require investment.\n Note right of Team: The 'Run a project from publishing user requirement' use case is related to the 'Run company until target round or no money' use case as running a project is part of running the company.\n"}, {"id": "\nsequenceDiagram\n participant Team\n participant Role\n participant Environment\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223353735:{\nsequenceDiagram\n participant Team\n participant Role\n participant Environment\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"This source code defines a Role class that represents a role or agent in a system. The Role class contains methods for setting actions, thinking, acting, observing, and reacting to messages. It also includes properties for managing the role's state and environment.\",\"use_cases\":[{\"description\":\"Set action to do and update context\",\"inputs\":[\"value\"],\"outputs\":[],\"actors\":[\"Role\"],\"steps\":[\"Check if the value is not None\",\"If the value is not None, set the value as the action to do and update the context\"],\"reason\":\"This use case is executed when the system needs to set an action for the role to perform and update the context.\"},{\"description\":\"Add actions to the role\",\"inputs\":[\"actions\"],\"outputs\":[],\"actors\":[\"Role\"],\"steps\":[\"Reset the role's states and actions\",\"Iterate through the list of actions\",\"Initialize each action if it is not already initialized\",\"Set the long-term memory (llm) and prefix for each action\",\"Add the action to the role's list of actions\",\"Update the role's states with the action descriptions\"],\"reason\":\"This use case is executed when the system needs to add multiple actions to the role and update its states and long-term memory.\"},{\"description\":\"Set the strategy of the role reacting to observed messages\",\"inputs\":[\"react_mode\",\"max_react_loop\"],\"outputs\":[],\"actors\":[\"Role\"],\"steps\":[\"Check if the react_mode is valid\",\"Set the role's react mode and maximum react loop based on the inputs\"],\"reason\":\"This use case is executed when the system needs to set the strategy for the role's reaction to observed messages.\"},{\"description\":\"Watch actions of interest\",\"inputs\":[\"actions\"],\"outputs\":[],\"actors\":[\"Role\"],\"steps\":[\"Set the role to watch messages caused by the specified actions\"],\"reason\":\"This use case is executed when the system needs the role to watch specific actions of interest.\"},{\"description\":\"Observe, think, and act based on the results of the observation\",\"inputs\":[\"with_message\"],\"outputs\":[\"rsp\"],\"actors\":[\"Role\"],\"steps\":[\"If a message is provided, place the message into the role's private message buffer\",\"If there is no new information, suspend and wait\",\"Observe new messages and filter out messages of interest\",\"React to the observed messages and get the response message\",\"Reset the next action to be taken\",\"Publish the response message to the environment\"],\"reason\":\"This use case is executed when the role needs to observe, think, and act based on the results of the observation.\"}],\"relationship\":[\"The 'Set action to do and update context' use case is related to the 'Add actions to the role' use case as it involves updating the role's context and actions.\",\"The 'Set the strategy of the role reacting to observed messages' use case is related to the 'Observe, think, and act based on the results of the observation' use case as it determines the strategy for the role's reaction to observed messages.\",\"The 'Watch actions of interest' use case is related to the 'Observe, think, and act based on the results of the observation' use case as it involves watching specific actions of interest during the observation process.\"]}"}, {"id": "\nsequenceDiagram\n participant Role\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n"}, {"id": "\nsequenceDiagram\n participant Role\n participant Team\n participant Environment\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223527497:{\nsequenceDiagram\n participant Role\n participant Team\n participant Environment\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines an Environment class that hosts a batch of roles. Roles can publish messages to the environment and can be observed by other roles. The environment also provides methods to add roles, publish messages, run role processes, and manage role addresses.\",\"use_cases\":[{\"description\":\"Add a role to the current environment\",\"inputs\":[\"role: Role\"],\"outputs\":[],\"actors\":[\"Environment\"],\"steps\":[\"Add the role to the roles dictionary of the environment\",\"Set the environment for the role\",\"Set the context for the role\"],\"reason\":\"When a new role needs to be added to the environment\"},{\"description\":\"Add a batch of roles to the current environment\",\"inputs\":[\"roles: Iterable[Role]\"],\"outputs\":[],\"actors\":[\"Environment\"],\"steps\":[\"Add each role to the roles dictionary of the environment\",\"Set the environment for each role\",\"Set the context for each role\"],\"reason\":\"When multiple roles need to be added to the environment\"},{\"description\":\"Publish a message to the recipients in the environment\",\"inputs\":[\"message: Message\",\"peekable: bool\"],\"outputs\":[\"bool\"],\"actors\":[\"Environment\"],\"steps\":[\"Iterate through the member addresses of the environment\",\"Check if the message is to be sent to the current recipient\",\"If found, put the message in the recipient's queue\",\"Update the history of the environment\"],\"reason\":\"When a message needs to be distributed to the recipients in the environment\"},{\"description\":\"Process all role runs at once\",\"inputs\":[\"k: int\"],\"outputs\":[],\"actors\":[\"Environment\"],\"steps\":[\"For each role, initiate a run process\",\"Gather all the run processes using asyncio\",\"Check if all actions have been executed\"],\"reason\":\"When all role processes need to be executed at once\"},{\"description\":\"Get all roles in the environment\",\"inputs\":[],\"outputs\":[\"dict[str, Role]\"],\"actors\":[\"Environment\"],\"steps\":[\"Return the roles dictionary of the environment\"],\"reason\":\"When all roles in the environment need to be retrieved\"},{\"description\":\"Get a specific role in the environment\",\"inputs\":[\"name: str\"],\"outputs\":[\"Role\"],\"actors\":[\"Environment\"],\"steps\":[\"Return the role with the specified name from the roles dictionary of the environment\"],\"reason\":\"When a specific role in the environment needs to be retrieved\"},{\"description\":\"Get all role names in the environment\",\"inputs\":[],\"outputs\":[\"list[str]\"],\"actors\":[\"Environment\"],\"steps\":[\"Return a list of names of all roles in the environment\"],\"reason\":\"When all role names in the environment need to be retrieved\"},{\"description\":\"Get the addresses of the object\",\"inputs\":[\"obj\"],\"outputs\":[],\"actors\":[\"Environment\"],\"steps\":[\"Return the addresses of the specified object from the member addresses of the environment\"],\"reason\":\"When the addresses of a specific object in the environment need to be retrieved\"},{\"description\":\"Set the addresses of the object\",\"inputs\":[\"obj\",\"addresses\"],\"outputs\":[],\"actors\":[\"Environment\"],\"steps\":[\"Set the addresses of the specified object in the member addresses of the environment\"],\"reason\":\"When the addresses of a specific object in the environment need to be updated\"},{\"description\":\"Archive the environment\",\"inputs\":[\"auto_archive: bool\"],\"outputs\":[],\"actors\":[\"Environment\"],\"steps\":[\"If auto_archive is true and the environment has a git repository, archive the repository\"],\"reason\":\"When the environment needs to be archived, and auto archiving is enabled\"}],\"relationship\":[\"The 'Add a role to the current environment' use case is related to the 'Add a batch of roles to the current environment' use case as it involves adding roles to the environment.\",\"The 'Publish a message to the recipients in the environment' use case is related to the 'Process all role runs at once' use case as it involves distributing messages to the roles in the environment and processing their runs.\",\"The 'Get all roles in the environment' use case is related to the 'Get a specific role in the environment' use case and the 'Get all role names in the environment' use case as it involves retrieving information about roles in the environment.\",\"The 'Get the addresses of the object' use case is related to the 'Set the addresses of the object' use case as it involves managing addresses of objects in the environment.\"]}"}, {"id": "\nsequenceDiagram\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n"}, {"id": "\nsequenceDiagram\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223701562:{\nsequenceDiagram\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code represents a Product Manager role responsible for product development and management. It includes attributes such as name, profile, goal, and constraints. The role has methods to decide what to do and observe the environment.\",\"use_cases\":[{\"description\":\"Decide what to do\",\"inputs\":[],\"outputs\":[],\"actors\":[\"Product Manager\"],\"steps\":[\"Check if the git repository exists and the configuration for git reinitialization is not set\",\"Set the state to 1 if the conditions are met\",\"If the conditions are not met, set the state to 0, set the git reinitialization configuration to false, and update the todo action to WritePRD\",\"Return a boolean indicating if there are any pending actions\"],\"reason\":\"When the system needs to decide the next action to take based on the current state and environment\"},{\"description\":\"Observe the environment\",\"inputs\":[],\"outputs\":[],\"actors\":[\"Product Manager\"],\"steps\":[\"Call the observe method of the superclass with ignore_memory set to True\"],\"reason\":\"When the system needs to observe the environment and update its internal state\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant ProductManager\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n"}, {"id": "\nsequenceDiagram\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223806039:{\nsequenceDiagram\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines an Architect role in a software development process with attributes such as name, profile, goal, and constraints. It also initializes specific actions and events for the Architect role.\",\"use_cases\":[],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant SourceCode\n participant Architect\n\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n"}, {"id": "\nsequenceDiagram\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131223921365:{\nsequenceDiagram\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:SourceCode"}, {"id": "{\"description\":\"The source code defines a Project Manager role with attributes such as name, profile, goal, and constraints. It also sets actions and watches for the Project Manager role.\",\"use_cases\":[{\"description\":\"Write Tasks\",\"inputs\":[\"task_list\",\"task_dependencies\"],\"outputs\":[\"task_breakdown\"],\"actors\":[\"Project Manager\"],\"steps\":[\"Receive task list and task dependencies\",\"Analyze task dependencies\",\"Generate task breakdown\"],\"reason\":\"When the Project Manager needs to break down tasks according to PRD/technical design and analyze task dependencies.\"},{\"description\":\"Write Design\",\"inputs\":[\"user_requirement\",\"technical_design\"],\"outputs\":[\"task_list\"],\"actors\":[\"Project Manager\"],\"steps\":[\"Receive user requirement and technical design\",\"Generate a task list\"],\"reason\":\"When the Project Manager needs to generate a task list based on user requirement and technical design.\"}],\"relationship\":[\"Write Tasks is required by Project Manager to break down tasks according to PRD/technical design and analyze task dependencies.\",\"Write Design is required by Project Manager to generate a task list based on user requirement and technical design.\"]}"}, {"id": "\nsequenceDiagram\n participant ProjectManager\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n WriteDesign-->>ProjectManager: task_list\n"}, {"id": "\nsequenceDiagram\n participant ProjectManager\n participant WriteTasks\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n WriteDesign-->>ProjectManager: task_list\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131224018623:{\nsequenceDiagram\n participant ProjectManager\n participant WriteTasks\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n WriteDesign-->>ProjectManager: task_list\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines a class 'WriteTasks' that is responsible for creating and updating tasks based on changes in system designs and task files. It also handles merging and updating requirements related to the tasks.\",\"use_cases\":[{\"description\":\"Create and update tasks based on changes in system designs and task files\",\"inputs\":[\"changed_system_designs\",\"changed_tasks\"],\"outputs\":[\"change_files\"],\"actors\":[\"WriteTasks\"],\"steps\":[\"Identify the system designs and task files that have undergone changes\",\"Update the system designs and task files\",\"Merge the updated system designs and task files\",\"Update the requirements related to the tasks\"],\"reason\":\"When there are changes in the system designs or task files, the system needs to create and update tasks accordingly.\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant WriteTasks\n\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n"}, {"id": "\nsequenceDiagram\n participant WriteTasks\n participant ProjectManager\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131224133693:{\nsequenceDiagram\n participant WriteTasks\n participant ProjectManager\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines a class `WriteDesign` that represents an action to generate system design based on PRD and design documents. It includes methods to update system design, merge PRD and system design, save data API design, and save sequence flow.\",\"use_cases\":[{\"description\":\"Generate system design based on PRD and design documents\",\"inputs\":[\"with_messages\",\"schema\"],\"outputs\":[\"content\",\"instruct_content\"],\"actors\":[\"Message\"],\"steps\":[\"Identify which PRD documents and design documents have been modified\",\"Regenerate the design content for the modified documents\",\"Wait for all files to be processed before sending the publish message\"],\"reason\":\"When there are changes in PRD and design documents, the system needs to generate the corresponding system design.\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant Action\n participant Message\n\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n\n"}, {"id": "\nsequenceDiagram\n participant Action\n participant Message\n participant WriteTasks\n participant ProjectManager\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131224454452:{\nsequenceDiagram\n participant Action\n participant Message\n participant WriteTasks\n participant ProjectManager\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"This source code defines a class Action with various properties and methods related to running an action node and setting a prefix for later usage.\",\"use_cases\":[{\"description\":\"Set prefix for later usage\",\"inputs\":[\"prefix\"],\"outputs\":[],\"actors\":[\"RunCodeContext\",\"CodeSummarizeContext\",\"TestingContext\",\"CodingContext\",\"CodePlanAndChangeContext\"],\"steps\":[\"Set the prefix property of the Action class to the provided value\",\"Set the system prompt property to the provided prefix\",\"Update the llm system prompt property with the provided prefix\",\"If the node property is not None, update the llm property of the node with the llm property of the Action class\"],\"reason\":\"When an external system needs to set a prefix for later usage\"},{\"description\":\"Run action node\",\"inputs\":[\"args\",\"kwargs\"],\"outputs\":[],\"actors\":[\"RunCodeContext\",\"CodeSummarizeContext\",\"TestingContext\",\"CodingContext\",\"CodePlanAndChangeContext\"],\"steps\":[\"Extract the messages from the args input\",\"Create a context string with the history messages\",\"Fill the action node with the context and llm properties\"],\"reason\":\"When an external system needs to run an action node\"},{\"description\":\"Run action\",\"inputs\":[\"args\",\"kwargs\"],\"outputs\":[],\"actors\":[\"RunCodeContext\",\"CodeSummarizeContext\",\"TestingContext\",\"CodingContext\",\"CodePlanAndChangeContext\"],\"steps\":[\"If the node property is not None, call the _run_action_node method with the provided args and kwargs\",\"Otherwise, raise a NotImplementedError\"],\"reason\":\"When an external system needs to run an action\"}],\"relationship\":[\"The 'Set prefix for later usage' use case can be executed before the 'Run action node' use case\",\"The 'Run action node' use case can be executed before the 'Run action' use case\"]}"}, {"id": "\nsequenceDiagram\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n```\n"}, {"id": "\nsequenceDiagram\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131224643506:{\nsequenceDiagram\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines a class RunCodeContext which contains attributes related to running code such as mode, code, test code, command, working directory, additional python paths, output filename, and output.\",\"use_cases\":[{\"description\":\"Run code in script mode\",\"inputs\":[\"code\",\"working_directory\",\"additional_python_paths\"],\"outputs\":[\"output\"],\"actors\":[\"User\"],\"steps\":[\"User provides the code to be executed\",\"User specifies the working directory for code execution\",\"User may provide additional python paths if required\",\"System runs the provided code in script mode\",\"System generates an output after executing the code\"],\"reason\":\"When the user wants to execute a piece of code in script mode\"},{\"description\":\"Run code in test mode\",\"inputs\":[\"test_code\",\"working_directory\",\"additional_python_paths\"],\"outputs\":[\"output\"],\"actors\":[\"User\"],\"steps\":[\"User provides the test code to be executed\",\"User specifies the working directory for code execution\",\"User may provide additional python paths if required\",\"System runs the provided test code\",\"System generates an output after executing the test code\"],\"reason\":\"When the user wants to execute a piece of code in test mode\"}],\"relationship\":[\"The 'Run code in script mode' use case is related to the 'Run code in test mode' use case as both involve running code with different purposes.\"]}"}, {"id": "\nsequenceDiagram\n participant User\n participant System\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n"}, {"id": "\nsequenceDiagram\n participant User\n participant System\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131224806732:{\nsequenceDiagram\n participant User\n participant System\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:System"}, {"id": "{\"description\":\"The source code defines a class CodeSummarizeContext with attributes design_filename, task_filename, codes_filenames, and reason. It also provides a static method loads to create an instance of CodeSummarizeContext from a list of filenames.\",\"use_cases\":[{\"description\":\"Load CodeSummarizeContext\",\"inputs\":[\"filenames: List[str]\"],\"outputs\":[\"ctx: CodeSummarizeContext\"],\"actors\":[\"External System\"],\"steps\":[\"Create an empty instance of CodeSummarizeContext\",\"Iterate through the list of filenames\",\"If the filename is relative to SYSTEM_DESIGN_FILE_REPO, set design_filename attribute\",\"If the filename is relative to TASK_FILE_REPO, set task_filename attribute\"],\"reason\":\"When the external system needs to load a CodeSummarizeContext instance from a list of filenames.\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant ExternalSystem\n participant CodeSummarizeContext\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n"}, {"id": "\nsequenceDiagram\n participant ExternalSystem\n participant CodeSummarizeContext\n participant User\n participant System\n participant RunCodeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131224922674:{\nsequenceDiagram\n participant ExternalSystem\n participant CodeSummarizeContext\n participant User\n participant System\n participant RunCodeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:ExternalSystem"}, {"id": "{\"description\":\"This source code defines a TestingContext class that contains a filename, code document, and an optional test document. The TestingContext is a subclass of BaseContext.\",\"use_cases\":[{\"description\":\"Create a new testing context\",\"inputs\":[\"filename\",\"code_doc\"],\"outputs\":[\"testing_context\"],\"actors\":[\"Tester\"],\"steps\":[\"The Tester provides a filename and a code document to the system\",\"The system creates a new TestingContext object with the provided filename and code document\",\"The system returns the created TestingContext object\"],\"reason\":\"When a Tester needs to create a new testing context for a specific code document\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant Tester\n participant System\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n"}, {"id": "\nsequenceDiagram\n participant Tester\n participant System\n participant ExternalSystem\n participant CodeSummarizeContext\n participant User\n participant RunCodeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131225037718:{\nsequenceDiagram\n participant Tester\n participant System\n participant ExternalSystem\n participant CodeSummarizeContext\n participant User\n participant RunCodeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:Tester"}, {"id": "{\"description\":\"The source code defines a class CodingContext with attributes filename, design_doc, task_doc, and code_doc. The class is a part of a larger system and interacts with external documents such as Document.\",\"use_cases\":[{\"description\":\"Create Coding Context\",\"inputs\":[\"filename\"],\"outputs\":[\"coding_context\"],\"actors\":[\"User\"],\"steps\":[\"User provides a filename as input\",\"System creates a new CodingContext object with the provided filename\",\"System returns the created CodingContext object\"],\"reason\":\"When a user needs to create a new coding context for a specific file\"},{\"description\":\"Update Design Document\",\"inputs\":[\"coding_context\",\"design_doc\"],\"outputs\":[\"updated_coding_context\"],\"actors\":[\"User\"],\"steps\":[\"User provides the coding context and the updated design document as input\",\"System updates the design document in the provided coding context\",\"System returns the updated coding context\"],\"reason\":\"When a user needs to update the design document in a coding context\"},{\"description\":\"Update Task Document\",\"inputs\":[\"coding_context\",\"task_doc\"],\"outputs\":[\"updated_coding_context\"],\"actors\":[\"User\"],\"steps\":[\"User provides the coding context and the updated task document as input\",\"System updates the task document in the provided coding context\",\"System returns the updated coding context\"],\"reason\":\"When a user needs to update the task document in a coding context\"},{\"description\":\"Update Code Document\",\"inputs\":[\"coding_context\",\"code_doc\"],\"outputs\":[\"updated_coding_context\"],\"actors\":[\"User\"],\"steps\":[\"User provides the coding context and the updated code document as input\",\"System updates the code document in the provided coding context\",\"System returns the updated coding context\"],\"reason\":\"When a user needs to update the code document in a coding context\"}],\"relationship\":[\"Create Coding Context is a prerequisite for Update Design Document, Update Task Document, and Update Code Document\"]}"}, {"id": "\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n"}, {"id": "\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131225231661:{\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "{\"description\":\"The source code defines a custom exception class called NoMoneyException, which is raised when an operation cannot be completed due to insufficient funds. The exception includes the amount required and a message indicating the insufficient funds.\",\"use_cases\":[],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant User\n participant SourceCode\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n"}, {"id": "\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n"}, {"id": "20240131225403302:{\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"id": "?:Logger"}, {"id": "{\"description\":\"This code defines a class for managing different types of file repositories related to project documentation.\",\"use_cases\":[{\"description\":\"Create DocFileRepositories instance\",\"inputs\":[\"git_repo\"],\"outputs\":[\"prd\",\"system_design\",\"task\",\"code_summary\",\"graph_repo\",\"class_view\",\"code_plan_and_change\"],\"actors\":[\"Project Manager\",\"Developer\"],\"steps\":[\"The Project Manager or Developer provides a git repository as input.\",\"The system creates a new DocFileRepositories instance with file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change.\",\"The system returns the file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change as output.\"],\"reason\":\"This use case is executed when a new instance of DocFileRepositories is required to manage different types of file repositories related to project documentation.\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n"}, {"id": "\nsequenceDiagram\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team"}, {"id": "20240131225530578:{\nsequenceDiagram\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team}"}, {"id": "?:Developer"}, {"id": "{\"description\":\"The source code defines a class ResourceFileRepositories that extends FileRepository and initializes multiple file repositories for different types of resources.\",\"use_cases\":[{\"description\":\"Create Resource File Repositories\",\"inputs\":[\"git_repo\"],\"outputs\":[\"competitive_analysis\",\"data_api_design\",\"seq_flow\",\"system_design\",\"prd\",\"api_spec_and_task\",\"code_summary\",\"sd_output\",\"code_plan_and_change\",\"graph_repo\"],\"actors\":[\"System\"],\"steps\":[\"Initialize a new instance of ResourceFileRepositories with a git repository\",\"Create file repositories for competitive analysis, data API design, sequence flow, system design, PRD, API spec and task, code summary, SD output, code plan and change, and graph repository\"],\"reason\":\"The system needs to manage and organize different types of resource files in a git repository\"}],\"relationship\":[]}"}, {"id": "\nsequenceDiagram\n participant System\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n"}, {"id": "\nsequenceDiagram\n participant System\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file"}, {"id": "20240131225710350:{\nsequenceDiagram\n participant System\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file}"}, {"id": "?:generate_repo"}, {"id": "?:config"}, {"id": "{\"description\":\"The source code represents an Engineer role responsible for writing and possibly reviewing code. It includes attributes and methods for writing and reviewing code, summarizing code, and writing code plan and change. It also includes methods for determining the mode of action, thinking, and acting based on whether code review is used.\",\"use_cases\":[{\"description\":\"Write Code\",\"inputs\":[\"coding_context\"],\"outputs\":[\"changed_files\"],\"actors\":[\"Engineer\"],\"steps\":[\"Select essential information from the historical data to reduce the length of the prompt\",\"Run the code review if enabled\",\"Save the changed files and relevant messages\",\"Return the changed files\"],\"reason\":\"When the engineer needs to write code\"},{\"description\":\"Summarize Code\",\"inputs\":[\"summary\"],\"outputs\":[\"tasks\"],\"actors\":[\"Engineer\"],\"steps\":[\"Run the code summary for each pair of (system_design_doc, task_doc)\",\"Save the summary and check if it passes\",\"Send the summary to QA Engineer if needed\",\"Return the tasks if not passed\"],\"reason\":\"When the engineer needs to summarize code\"},{\"description\":\"Write Code Plan and Change\",\"inputs\":[\"files\",\"requirement\"],\"outputs\":[\"code_plan_and_change\"],\"actors\":[\"Engineer\"],\"steps\":[\"Write code plan and change that guides subsequent WriteCode and WriteCodeReview\",\"Save the code plan and change\",\"Return the code plan and change\"],\"reason\":\"When the engineer needs to write code plan and change\"}],\"relationship\":[\"Write Code is performed by Engineer\",\"Summarize Code is performed by Engineer\",\"Write Code Plan and Change is performed by Engineer\"]}"}, {"id": "\nsequenceDiagram\n participant Engineer\n\n Engineer->>Engineer: action_description\n Engineer->>Engineer: list code_todos\n Engineer->>Engineer: str constraints\n Engineer->>Engineer: str goal\n Engineer->>Engineer: int n_borg\n Engineer->>Engineer: int n_summarize\n Engineer->>Engineer: str name\n Engineer->>Engineer: str next_todo_action\n Engineer->>Engineer: str profile\n Engineer->>Engineer: src_workspace\n Engineer->>Engineer: list summarize_todos\n Engineer->>Engineer: bool use_code_review\n"}, {"id": "\nsequenceDiagram\n participant Engineer\n participant System\n participant ResourceFileRepositories\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant QaEngineer\n\n Engineer->>Engineer: action_description\n Engineer->>Engineer: list code_todos\n Engineer->>Engineer: str constraints\n Engineer->>Engineer: str goal\n Engineer->>Engineer: int n_borg\n Engineer->>Engineer: int n_summarize\n Engineer->>Engineer: str name\n Engineer->>Engineer: str next_todo_action\n Engineer->>Engineer: str profile\n Engineer->>Engineer: src_workspace\n Engineer->>Engineer: list summarize_todos\n Engineer->>Engineer: bool use_code_review\n\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>"}, {"id": "20240131225840129:{\nsequenceDiagram\n participant Engineer\n participant System\n participant ResourceFileRepositories\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant QaEngineer\n\n Engineer->>Engineer: action_description\n Engineer->>Engineer: list code_todos\n Engineer->>Engineer: str constraints\n Engineer->>Engineer: str goal\n Engineer->>Engineer: int n_borg\n Engineer->>Engineer: int n_summarize\n Engineer->>Engineer: str name\n Engineer->>Engineer: str next_todo_action\n Engineer->>Engineer: str profile\n Engineer->>Engineer: src_workspace\n Engineer->>Engineer: list summarize_todos\n Engineer->>Engineer: bool use_code_review\n\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>}"}], "links": [{"predicate": "is", "source": "metagpt/schema.py", "target": "source_code"}, {"predicate": "is", "source": "metagpt/schema.py", "target": "python"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:AIMessage"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:BaseContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:BugFixContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:CodePlanAndChangeContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:CodeSummarizeContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:CodingContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:Document"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:Documents"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:Message"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:MessageQueue"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:RunCodeContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:RunCodeResult"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:SerializationMixin"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:SimpleMessage"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:SystemMessage"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:TestingContext"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:UMLClassAttribute"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:UMLClassMeta"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:UMLClassMethod"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:UMLClassView"}, {"predicate": "has_class", "source": "metagpt/schema.py", "target": "metagpt/schema.py:UserMessage"}, {"predicate": "is", "source": "metagpt/schema.py:AIMessage", "target": "class"}, {"predicate": "has_detail", "source": "metagpt/schema.py:AIMessage", "target": "{\"name\":\"AIMessage\",\"package\":\"metagpt/schema.py:AIMessage\",\"attributes\":{},\"methods\":{},\"compositions\":[],\"aggregations\":[]}"}, {"predicate": "isGeneralizeOf", "source": "metagpt/schema.py:AIMessage", "target": "metagpt/schema.py:Message"}, {"predicate": "has_class_method", "source": "metagpt/schema.py:AIMessage", "target": "metagpt/schema.py:AIMessage:__init__"}, 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"target": "{\"description\":\"This source code defines a class representing a FileRepository associated with a Git repository. The class includes methods for saving, getting, and deleting files, as well as managing file dependencies and generating new filenames.\",\"use_cases\":[{\"description\":\"Save content to a file and update its dependencies.\",\"inputs\":[\"filename\",\"content\",\"dependencies\"],\"outputs\":[\"Document\"],\"actors\":[\"Document\",\"Path\",\"List\"],\"steps\":[\"Create the pathname for the file within the repository.\",\"Write the content to the file.\",\"Update the dependencies if provided.\",\"Return the saved document.\"],\"reason\":\"When new content needs to be saved to a file and its dependencies need to be updated.\"},{\"description\":\"Get the dependencies of a file.\",\"inputs\":[\"filename\"],\"outputs\":[\"Set\"],\"actors\":[\"Path\"],\"steps\":[\"Retrieve the pathname of the file within the repository.\",\"Get the dependencies of the file.\",\"Return the set of dependencies.\"],\"reason\":\"When the dependencies of a file need to be retrieved.\"},{\"description\":\"Get the dependencies of a file that have changed.\",\"inputs\":[\"filename\"],\"outputs\":[\"Set\"],\"actors\":[\"Path\"],\"steps\":[\"Get the dependencies of the file.\",\"Identify the changed dependent files.\",\"Return the set of changed dependencies.\"],\"reason\":\"When the dependencies of a file that have changed need to be retrieved.\"},{\"description\":\"Read the content of a file.\",\"inputs\":[\"filename\"],\"outputs\":[\"Document\",\"None\"],\"actors\":[\"Path\"],\"steps\":[\"Create a document instance for the file.\",\"Read the content of the file.\",\"Return the document with the content or None if the file does not exist.\"],\"reason\":\"When the content of a file needs to be read.\"},{\"description\":\"Get the content of all files in the repository.\",\"inputs\":[\"filter_ignored\"],\"outputs\":[\"List[Document]\"],\"actors\":[\"Path\"],\"steps\":[\"Retrieve the content of all files in the repository.\",\"Return a list of document instances representing the 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dependencies if provided.\"],\"reason\":\"When the content of a document needs to be saved to a file and its dependencies need to be updated.\"},{\"description\":\"Save a Document instance as a PDF file.\",\"inputs\":[\"doc\",\"with_suffix\",\"dependencies\"],\"outputs\":[],\"actors\":[\"Document\",\"List\"],\"steps\":[\"Convert the content of the document to Markdown.\",\"Save it to a file with an optional specified suffix.\",\"Log the saved file.\"],\"reason\":\"When a document instance needs to be saved as a PDF file.\"},{\"description\":\"Delete a file from the file repository.\",\"inputs\":[\"filename\"],\"outputs\":[],\"actors\":[\"Path\"],\"steps\":[\"Delete the file from the file repository.\"],\"reason\":\"When a file needs to be deleted from the file repository.\"}],\"relationship\":[\"Save content to a file and update its dependencies is related to Get the dependencies of a file.\",\"Save content to a file and update its dependencies is related to Get the dependencies of a file that have changed.\",\"Save content to a file and update its dependencies is related to Read the content of a file.\",\"Save content to a file and update its dependencies is related to Get the content of all files in the repository.\",\"Save content to a file and update its dependencies is related to Get the files in a directory that have changed.\",\"Save content to a file and update its dependencies is related to Generate a new filename based on the current timestamp and a UUID suffix.\",\"Save content to a file and update its dependencies is related to Save content to a file and update its dependencies using a Document instance.\",\"Save content to a file and update its dependencies is related to Save a Document instance as a PDF file.\",\"Save content to a file and update its dependencies is related to Delete a file from the file repository.\"]}"}, {"predicate": "has_sequence_view", "source": "metagpt/utils/file_repository.py:FileRepository", "target": "\nsequenceDiagram\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->> FileRepository: get_all(filter_ignored)\n FileRepository ->> FileRepository: retrieve content of all files\n FileRepository ->> Document: return list of document instances\n\n Document ->> FileRepository: get_change_dir_files(dir)\n FileRepository ->> FileRepository: identify changed files within directory\n FileRepository ->> Document: return list of changed files\n\n Document ->> FileRepository: save_doc(doc, dependencies)\n FileRepository ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository ->> Path: convert content of document to Markdown\n FileRepository ->> FileRepository: save content to file with optional suffix\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: delete(filename)\n FileRepository ->> Path: delete file from repository\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(filename, dependencies)\n"}, {"predicate": "is", "source": "metagpt/utils/file_repository.py:FileRepository:all_files", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/file_repository.py:FileRepository:all_files", "target": "{\"name\":\"all_files\",\"type_\":\"\",\"default_\":\"\",\"description\":\"all_files\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/file_repository.py:FileRepository:all_files", "target": "class_method"}, {"predicate": "is", "source": "metagpt/utils/file_repository.py:FileRepository:changed_files", "target": 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{"predicate": "has_sequence_view", "source": "metagpt/roles/product_manager.py:ProductManager", "target": "\nsequenceDiagram\n participant ProductManager\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:constraints", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/product_manager.py:ProductManager:constraints", "target": "{\"name\":\"constraints\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"constraints : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:goal", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/product_manager.py:ProductManager:goal", "target": "{\"name\":\"goal\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"goal : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:name", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/product_manager.py:ProductManager:name", "target": "{\"name\":\"name\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"name : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:profile", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/product_manager.py:ProductManager:profile", "target": "{\"name\":\"profile\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"profile : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:todo_action", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/product_manager.py:ProductManager:todo_action", "target": "{\"name\":\"todo_action\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"todo_action : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py", "target": "source_code"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py", "target": "python"}, {"predicate": "has_class", "source": "metagpt/roles/project_manager.py", "target": "metagpt/roles/project_manager.py:ProjectManager"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "class"}, {"predicate": "has_detail", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "{\"name\":\"ProjectManager\",\"package\":\"metagpt/roles/project_manager.py:ProjectManager\",\"attributes\":{\"constraints\":{\"name\":\"constraints\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"constraints : str\",\"compositions\":[]},\"goal\":{\"name\":\"goal\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"goal : str\",\"compositions\":[]},\"name\":{\"name\":\"name\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"name : str\",\"compositions\":[]},\"profile\":{\"name\":\"profile\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"profile : str\",\"compositions\":[]}},\"methods\":{},\"compositions\":[],\"aggregations\":[]}"}, {"predicate": "has_class_property", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "metagpt/roles/project_manager.py:ProjectManager:constraints"}, {"predicate": "has_class_property", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "metagpt/roles/project_manager.py:ProjectManager:goal"}, {"predicate": "has_class_property", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "metagpt/roles/project_manager.py:ProjectManager:name"}, {"predicate": "has_class_property", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "metagpt/roles/project_manager.py:ProjectManager:profile"}, {"predicate": "isGeneralizeOf", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "metagpt/roles/role.py:Role"}, {"predicate": "has_class_method", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "metagpt/roles/project_manager.py:ProjectManager:__init__"}, {"predicate": "has_page_info", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "{\"lineno\":14,\"end_lineno\":37,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"ProjectManager\"],\"properties\":{}}"}, {"predicate": "has_class_view", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "{\"name\":\"ProjectManager\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"constraints\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"goal\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"name\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"},{\"name\":\"profile\",\"visibility\":\"+\",\"value_type\":\"str\",\"default_value\":\"\"}],\"methods\":[]}"}, {"predicate": "has_class_use_case", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "{\"description\":\"The source code defines a Project Manager role with attributes such as name, profile, goal, and constraints. It also sets actions and watches for the Project Manager role.\",\"use_cases\":[{\"description\":\"Write Tasks\",\"inputs\":[\"task_list\",\"task_dependencies\"],\"outputs\":[\"task_breakdown\"],\"actors\":[\"Project Manager\"],\"steps\":[\"Receive task list and task dependencies\",\"Analyze task dependencies\",\"Generate task breakdown\"],\"reason\":\"When the Project Manager needs to break down tasks according to PRD/technical design and analyze task dependencies.\"},{\"description\":\"Write Design\",\"inputs\":[\"user_requirement\",\"technical_design\"],\"outputs\":[\"task_list\"],\"actors\":[\"Project Manager\"],\"steps\":[\"Receive user requirement and technical design\",\"Generate a task list\"],\"reason\":\"When the Project Manager needs to generate a task list based on user requirement and technical design.\"}],\"relationship\":[\"Write Tasks is required by Project Manager to break down tasks according to PRD/technical design and analyze task dependencies.\",\"Write Design is required by Project Manager to generate a task list based on user requirement and technical design.\"]}"}, {"predicate": "has_sequence_view", "source": "metagpt/roles/project_manager.py:ProjectManager", "target": "\nsequenceDiagram\n participant ProjectManager\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n WriteDesign-->>ProjectManager: task_list\n"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py:ProjectManager:constraints", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/project_manager.py:ProjectManager:constraints", "target": "{\"name\":\"constraints\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"constraints : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py:ProjectManager:goal", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/project_manager.py:ProjectManager:goal", "target": "{\"name\":\"goal\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"goal : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py:ProjectManager:name", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/project_manager.py:ProjectManager:name", "target": "{\"name\":\"name\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"name : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/roles/project_manager.py:ProjectManager:profile", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/roles/project_manager.py:ProjectManager:profile", "target": "{\"name\":\"profile\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"profile : str\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "class"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "{\"name\":\"ProjectRepo\",\"package\":\"metagpt/utils/project_repo.py:ProjectRepo\",\"attributes\":{\"docs\":{\"name\":\"docs\",\"type_\":\"\",\"default_\":\"\",\"description\":\"docs\",\"compositions\":[]},\"git_repo\":{\"name\":\"git_repo\",\"type_\":\"\",\"default_\":\"\",\"description\":\"git_repo\",\"compositions\":[]},\"requirement\":{\"name\":\"requirement\",\"type_\":\"\",\"default_\":\"\",\"description\":\"requirement\",\"compositions\":[]},\"resources\":{\"name\":\"resources\",\"type_\":\"\",\"default_\":\"\",\"description\":\"resources\",\"compositions\":[]},\"src_relative_path\":{\"name\":\"src_relative_path\",\"type_\":\"\",\"default_\":\"\",\"description\":\"src_relative_path\",\"compositions\":[]},\"srcs\":{\"name\":\"srcs\",\"type_\":\"\",\"default_\":\"\",\"description\":\"srcs\",\"compositions\":[]},\"test_outputs\":{\"name\":\"test_outputs\",\"type_\":\"\",\"default_\":\"\",\"description\":\"test_outputs\",\"compositions\":[]},\"tests\":{\"name\":\"tests\",\"type_\":\"\",\"default_\":\"\",\"description\":\"tests\",\"compositions\":[]},\"workdir\":{\"name\":\"workdir\",\"type_\":\"\",\"default_\":\"\",\"description\":\"workdir\",\"compositions\":[]}},\"methods\":{\"code_files_exists\":{\"name\":\"code_files_exists\",\"args\":[],\"return_args\":{\"type_\":\"bool\",\"description\":\"bool\",\"compositions\":[]},\"description\":\"code_files_exists(): bool\",\"aggregations\":[]},\"with_src_path\":{\"name\":\"with_src_path\",\"args\":[{\"name\":\"path\",\"type_\":\"str\\\\|Path\",\"default_\":\"\",\"description\":\"path: str \\\\| Path\",\"compositions\":[\"Path\",\"str\\\\\"]}],\"return_args\":{\"type_\":\"ProjectRepo\",\"description\":\"ProjectRepo\",\"compositions\":[\"ProjectRepo\"]},\"description\":\"with_src_path(path: str \\\\| Path): ProjectRepo\",\"aggregations\":[\"str\\\\\",\"ProjectRepo\",\"Path\"]}},\"compositions\":[],\"aggregations\":[\"str\\\\\",\"ProjectRepo\",\"Path\"]}"}, {"predicate": "has_class_property", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:docs"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:git_repo"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:requirement"}, {"predicate": "has_class_property", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:resources"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:src_relative_path"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:srcs"}, {"predicate": "has_class_property", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:test_outputs"}, {"predicate": "has_class_property", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:tests"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:workdir"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:code_files_exists"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:with_src_path"}, {"predicate": "isAggregateOf", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "?:str\\"}, {"predicate": "isAggregateOf", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "?:ProjectRepo"}, {"predicate": "isAggregateOf", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "?:Path"}, {"predicate": "isGeneralizeOf", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/file_repository.py:FileRepository"}, {"predicate": "isCompositeOf", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/context.py:Context"}, {"predicate": "isCompositeOn", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/context.py:Context:repo"}, {"predicate": "has_class_method", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "metagpt/utils/project_repo.py:ProjectRepo:__init__"}, {"predicate": "has_page_info", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "{\"lineno\":90,\"end_lineno\":142,\"type_name\":\"ast.ClassDef\",\"tokens\":[\"ProjectRepo\"],\"properties\":{}}"}, {"predicate": "has_class_view", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "{\"name\":\"ProjectRepo\",\"visibility\":\"+\",\"attributes\":[{\"name\":\"docs\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"git_repo\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"requirement\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"resources\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"src_relative_path\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"srcs\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"test_outputs\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"tests\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"},{\"name\":\"workdir\",\"visibility\":\"+\",\"value_type\":\"\",\"default_value\":\"\"}],\"methods\":[]}"}, {"predicate": "has_class_use_case", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "{\"description\":\"The source code defines a class 'ProjectRepo' which is a file repository for a project. It contains methods to interact with the project's files and resources.\",\"use_cases\":[{\"description\":\"Retrieve project requirements\",\"inputs\":[],\"outputs\":[\"requirement\"],\"actors\":[\"ProjectRepo\"],\"steps\":[\"The 'ProjectRepo' class retrieves the project requirements from the 'docs' attribute using the 'requirement' property.\"],\"reason\":\"When the system needs to access the project requirements.\"},{\"description\":\"Check if code files exist\",\"inputs\":[],\"outputs\":[\"code_files_exist\"],\"actors\":[\"ProjectRepo\"],\"steps\":[\"The 'ProjectRepo' class checks if the code files exist by accessing the 'srcs' attribute and its 'all_files' property.\"],\"reason\":\"When the system needs to verify the existence of code files.\"},{\"description\":\"Set source path for the project\",\"inputs\":[\"path\"],\"outputs\":[\"ProjectRepo\"],\"actors\":[\"ProjectRepo\"],\"steps\":[\"The 'ProjectRepo' class sets the source path for the project by using the 'with_src_path' method with the specified 'path'.\"],\"reason\":\"When the system needs to update the source path for the project.\"}],\"relationship\":[\"The 'Retrieve project requirements' use case is related to the 'Check if code files exist' use case as both involve accessing project files and resources.\",\"The 'Set source path for the project' use case is related to the 'Check if code files exist' use case as setting the source path may impact the existence of code files.\"]}"}, {"predicate": "has_sequence_view", "source": "metagpt/utils/project_repo.py:ProjectRepo", "target": "\nsequenceDiagram\n participant ProjectRepo\n participant str\n participant Path\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:docs", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:docs", "target": "{\"name\":\"docs\",\"type_\":\"\",\"default_\":\"\",\"description\":\"docs\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:git_repo", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:git_repo", "target": "{\"name\":\"git_repo\",\"type_\":\"\",\"default_\":\"\",\"description\":\"git_repo\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:git_repo", "target": "class_method"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:requirement", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:requirement", "target": "{\"name\":\"requirement\",\"type_\":\"\",\"default_\":\"\",\"description\":\"requirement\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:requirement", "target": "class_method"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:resources", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:resources", "target": "{\"name\":\"resources\",\"type_\":\"\",\"default_\":\"\",\"description\":\"resources\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:src_relative_path", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:src_relative_path", "target": "{\"name\":\"src_relative_path\",\"type_\":\"\",\"default_\":\"\",\"description\":\"src_relative_path\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:src_relative_path", "target": "class_method"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:srcs", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:srcs", "target": "{\"name\":\"srcs\",\"type_\":\"\",\"default_\":\"\",\"description\":\"srcs\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:srcs", "target": "class_method"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:test_outputs", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:test_outputs", "target": "{\"name\":\"test_outputs\",\"type_\":\"\",\"default_\":\"\",\"description\":\"test_outputs\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:tests", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:tests", "target": "{\"name\":\"tests\",\"type_\":\"\",\"default_\":\"\",\"description\":\"tests\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:workdir", "target": "class_property"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:workdir", "target": "{\"name\":\"workdir\",\"type_\":\"\",\"default_\":\"\",\"description\":\"workdir\",\"compositions\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:workdir", "target": "class_method"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:code_files_exists", "target": "class_method"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:code_files_exists", "target": "{\"name\":\"code_files_exists\",\"args\":[],\"return_args\":{\"type_\":\"bool\",\"description\":\"bool\",\"compositions\":[]},\"description\":\"code_files_exists(): bool\",\"aggregations\":[]}"}, {"predicate": "is", "source": "metagpt/utils/project_repo.py:ProjectRepo:with_src_path", "target": "class_method"}, {"predicate": "has_detail", "source": "metagpt/utils/project_repo.py:ProjectRepo:with_src_path", "target": "{\"name\":\"with_src_path\",\"args\":[{\"name\":\"path\",\"type_\":\"str\\\\|Path\",\"default_\":\"\",\"description\":\"path: str \\\\| Path\",\"compositions\":[\"Path\",\"str\\\\\"]}],\"return_args\":{\"type_\":\"ProjectRepo\",\"description\":\"ProjectRepo\",\"compositions\":[\"ProjectRepo\"]},\"description\":\"with_src_path(path: str \\\\| Path): 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{"predicate": "is", "source": "metagpt/team.py", "target": "source_code"}, {"predicate": "is", "source": "metagpt/team.py", "target": "python"}, {"predicate": "has_class", "source": "metagpt/team.py", "target": "metagpt/team.py:Team"}, {"predicate": "is", "source": "metagpt/team.py:Team", "target": "class"}, {"predicate": "has_detail", "source": "metagpt/team.py:Team", "target": "{\"name\":\"Team\",\"package\":\"metagpt/team.py:Team\",\"attributes\":{\"cost_manager\":{\"name\":\"cost_manager\",\"type_\":\"\",\"default_\":\"\",\"description\":\"cost_manager\",\"compositions\":[]},\"env\":{\"name\":\"env\",\"type_\":\"Optional[Environment]\",\"default_\":\"\",\"description\":\"env : Optional[Environment]\",\"compositions\":[\"Environment\"]},\"idea\":{\"name\":\"idea\",\"type_\":\"str\",\"default_\":\"\",\"description\":\"idea : str\",\"compositions\":[]},\"investment\":{\"name\":\"investment\",\"type_\":\"float\",\"default_\":\"\",\"description\":\"investment : 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"{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Dict\",\"List\",\"Optional\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:pandas as pd", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.Import\",\"tokens\":[\"pandas as pd\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:module:pydantic", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"BaseModel\",\"Field\",\"field_validator\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:names:['BaseModel', 'Field', 'field_validator']", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"BaseModel\",\"Field\",\"field_validator\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:module:metagpt.const", "target": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"AGGREGATION\",\"COMPOSITION\",\"GENERALIZATION\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:names:['AGGREGATION', 'COMPOSITION', 'GENERALIZATION']", "target": "{\"lineno\":20,\"end_lineno\":20,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"AGGREGATION\",\"COMPOSITION\",\"GENERALIZATION\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:module:metagpt.logs", "target": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:names:['logger']", "target": "{\"lineno\":21,\"end_lineno\":21,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:module:metagpt.utils.common", "target": "{\"lineno\":22,\"end_lineno\":22,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\",\"aread\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:names:['any_to_str', 'aread']", "target": "{\"lineno\":22,\"end_lineno\":22,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\",\"aread\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:module:metagpt.utils.exceptions", "target": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.exceptions\",\"names\":[\"handle_exception\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/repo_parser.py:names:['handle_exception']", "target": "{\"lineno\":23,\"end_lineno\":23,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.exceptions\",\"names\":[\"handle_exception\"]}}"}, {"predicate": "is", "source": "metagpt/startup.py", "target": "source_code"}, {"predicate": "is", "source": "metagpt/startup.py", "target": "python"}, {"predicate": "has_function", "source": "metagpt/startup.py", "target": "metagpt/startup.py:generate_repo"}, {"predicate": "has_function", "source": "metagpt/startup.py", "target": "metagpt/startup.py:startup"}, {"predicate": "has_function", "source": "metagpt/startup.py", "target": "metagpt/startup.py:copy_config_to"}, {"predicate": "is", "source": "metagpt/startup.py:generate_repo", "target": "function"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:generate_repo", "target": "{\"lineno\":16,\"end_lineno\":68,\"type_name\":\"ast.FunctionDef\",\"tokens\":[\"generate_repo\"],\"properties\":{}}"}, {"predicate": "is", "source": "metagpt/startup.py:startup", "target": "function"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:startup", "target": "{\"lineno\":72,\"end_lineno\":118,\"type_name\":\"ast.FunctionDef\",\"tokens\":[\"startup\"],\"properties\":{}}"}, {"predicate": "is", "source": "metagpt/startup.py:copy_config_to", "target": "function"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:copy_config_to", "target": "{\"lineno\":121,\"end_lineno\":136,\"type_name\":\"ast.FunctionDef\",\"tokens\":[\"copy_config_to\"],\"properties\":{}}"}, {"predicate": "is", "source": "metagpt/startup.py:app", "target": "global_variable"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:app", "target": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.Assign\",\"tokens\":[\"app\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:asyncio", "target": "{\"lineno\":3,\"end_lineno\":3,\"type_name\":\"ast.Import\",\"tokens\":[\"asyncio\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:shutil", "target": "{\"lineno\":4,\"end_lineno\":4,\"type_name\":\"ast.Import\",\"tokens\":[\"shutil\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:module:pathlib", "target": "{\"lineno\":5,\"end_lineno\":5,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:names:['Path']", "target": "{\"lineno\":5,\"end_lineno\":5,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:typer", "target": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.Import\",\"tokens\":[\"typer\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:module:metagpt.config2", "target": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.config2\",\"names\":[\"config\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:names:['config']", "target": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.config2\",\"names\":[\"config\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:module:metagpt.const", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"CONFIG_ROOT\",\"METAGPT_ROOT\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:names:['CONFIG_ROOT', 'METAGPT_ROOT']", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.const\",\"names\":[\"CONFIG_ROOT\",\"METAGPT_ROOT\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:module:metagpt.context", "target": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.context\",\"names\":[\"Context\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:names:['Context']", "target": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.context\",\"names\":[\"Context\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/startup.py:__name__:__main__", "target": "{\"lineno\":139,\"end_lineno\":140,\"type_name\":\"ast.If\",\"tokens\":[\"__name__\",\"__main__\"],\"properties\":{}}"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131222415604:{\nsequenceDiagram\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n```\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:User"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:Typer"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131222533217:{\nsequenceDiagram\n participant ProjectRepo\n participant GitRepository\n participant Path\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/context.py:Context"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131222606110:{\nsequenceDiagram\n participant ProjectRepo\n participant str\n participant Path\n participant GitRepository\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/project_repo.py:ProjectRepo"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:str"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:Path"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131222711914:{\nsequenceDiagram\n participant FileRepository\n participant DependencyFile\n participant Path\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant GitRepository\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/git_repository.py:GitRepository"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131222829147:{\nsequenceDiagram\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant DependencyFile\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant BaseLLM\n participant LLMConfig\n participant User\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->> FileRepository: get_all(filter_ignored)\n FileRepository ->> FileRepository: retrieve content of all files\n FileRepository ->> Document: return list of document instances\n\n Document ->> FileRepository: get_change_dir_files(dir)\n FileRepository ->> FileRepository: identify changed files within directory\n FileRepository ->> Document: return list of changed files\n\n Document ->> FileRepository: save_doc(doc, dependencies)\n FileRepository ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository ->> Path: convert content of document to Markdown\n FileRepository ->> FileRepository: save content to file with optional suffix\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: delete(filename)\n FileRepository ->> Path: delete file from repository\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n FileRepository->>FileRepository: filter_gitignore(filenames, root_relative_path)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/file_repository.py:FileRepository"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/document.py:Document"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/schema.py:Document"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:List"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:aiofiles"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:os"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:datetime"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:json"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131222928045:{\nsequenceDiagram\n participant User\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant BaseLLM\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/dependency_file.py:DependencyFile"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223021143:{\nsequenceDiagram\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant User\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/provider/base_llm.py:BaseLLM"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223126916:{\nsequenceDiagram\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/schema.py:Message"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:AsyncOpenAI"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223231878:{\nsequenceDiagram\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant Path\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Context\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n BaseLLM -->> Message: rsp\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/configs/llm_config.py:LLMConfig"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:SystemAdministrator"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:LLMSystem"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223353735:{\nsequenceDiagram\n participant Team\n participant Role\n participant Environment\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/team.py:Team"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223527497:{\nsequenceDiagram\n participant Role\n participant Team\n participant Environment\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant Message\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/roles/role.py:Role"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223701562:{\nsequenceDiagram\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/environment.py:Environment"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:Iterable"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:SerializeAsAny"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223806039:{\nsequenceDiagram\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document ->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/roles/product_manager.py:ProductManager"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131223921365:{\nsequenceDiagram\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/roles/architect.py:Architect"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:SourceCode"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131224018623:{\nsequenceDiagram\n participant ProjectManager\n participant WriteTasks\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n WriteDesign-->>ProjectManager: task_list\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/roles/project_manager.py:ProjectManager"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131224133693:{\nsequenceDiagram\n participant WriteTasks\n participant ProjectManager\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Message\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/actions/project_management.py:WriteTasks"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131224454452:{\nsequenceDiagram\n participant Action\n participant Message\n participant WriteTasks\n participant ProjectManager\n participant WriteDesign\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Iterable\n participant SerializeAsAny\n participant Team\n participant Context\n participant Path\n participant SystemAdministrator\n participant LLMSystem\n participant User\n participant AsyncOpenAI\n participant BaseLLM\n participant DependencyFile\n participant Document\n participant List\n participant GitRepository\n participant aiofiles\n participant os\n participant datetime\n participant json\n participant FileRepository\n participant Path\\\\\n participant ProjectRepo\n participant str\n participant LLMConfig\n participant Typer\n participant Engineer\n participant QaEngineer\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant NoMoneyException\n participant Logger\n\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/actions/design_api.py:WriteDesign"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131224643506:{\nsequenceDiagram\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/actions/action.py:Action"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131224806732:{\nsequenceDiagram\n participant User\n participant System\n participant RunCodeContext\n participant CodeSummarizeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/schema.py:RunCodeContext"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:System"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131224922674:{\nsequenceDiagram\n participant ExternalSystem\n participant CodeSummarizeContext\n participant User\n participant System\n participant RunCodeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository ->> FileRepository: get_dependency(filename)\n FileRepository ->> FileRepository: identify changed dependent files\n FileRepository ->> Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/schema.py:CodeSummarizeContext"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:ExternalSystem"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131225037718:{\nsequenceDiagram\n participant Tester\n participant System\n participant ExternalSystem\n participant CodeSummarizeContext\n participant User\n participant RunCodeContext\n participant TestingContext\n participant CodingContext\n participant CodePlanAndChangeContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant Document\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>CodeSummarizeContext: Create an empty instance\n loop through filenames\n CodeSummarizeContext->>CodeSummarizeContext: Check if filename is relative to SYSTEM_DESIGN_FILE_REPO\n alt filename is relative to SYSTEM_DESIGN_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set design_filename attribute\n else filename is relative to TASK_FILE_REPO\n CodeSummarizeContext-->>CodeSummarizeContext: Set task_filename attribute\n end\n end\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/schema.py:TestingContext"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:Tester"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131225231661:{\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/schema.py:CodingContext"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131225403302:{\nsequenceDiagram\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant ProjectManager\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant DocFileRepositories\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team: create company\n Team -> ProductManager: hire\n Team -> Architect: hire\n Team -> ProjectManager: hire\n Team -> Engineer: hire\n Team -> QaEngineer: hire\n Team -> Team: invest\n Team -> Team: run_project\n Team -> Team: run\n}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/common.py:NoMoneyException"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:Logger"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131225530578:{\nsequenceDiagram\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant System\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant ResourceFileRepositories\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file_repository(self._srcs_path)\n ProjectRepo->>ProjectRepo: code_files_exists()\n ProjectRepo->>GitRepository: git_workdir = self.git_repo.workdir\n ProjectRepo->>Path: src_workdir = git_workdir / git_workdir.name\n ProjectRepo->>Path: return Path(path).relative_to(self.workdir)\n ProjectRepo->>Path: return Path(path)\n ProjectRepo->>ProjectRepo: with_src_path(path)\n ProjectRepo->>ProjectRepo: src_relative_path\n ProjectRepo->>Path: return self._srcs_path\n ProjectRepo->>Path: Create a new os.environ object\n Path->>Path: Copy the current os.environ object\n Path-->>ProjectRepo: env\n BaseLLM->>LLMConfig: Obtain a LLM (Language Model) instance with a cost manager\n LLMConfig-->>BaseLLM: llm\n User -> Typer: startup command\n Typer -> generate_repo: call with arguments\n generate_repo -> config: update_via_cli\n config -> Context: initialize\n Context -> Team}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/project_repo.py:DocFileRepositories"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:Developer"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131225710350:{\nsequenceDiagram\n participant System\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant Engineer\n participant QaEngineer\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>ProjectRepo: self._srcs_path = None\n ProjectRepo->>ProjectRepo: requirement\n ProjectRepo->>DocFileRepositories: return await self.docs.get(filename=REQUIREMENT_FILENAME)\n ProjectRepo->>ProjectRepo: git_repo\n ProjectRepo->>GitRepository: return self._git_repo\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>ProjectRepo: srcs\n ProjectRepo->>ProjectRepo: raise ValueError(\"Call with_srcs first.\")\n ProjectRepo->>GitRepository: return self._git_repo.new_file}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/utils/project_repo.py:ResourceFileRepositories"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:generate_repo"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "?:config"}, {"predicate": "has_sequence_view", "source": "metagpt/startup.py:__name__:__main__", "target": "\nsequenceDiagram\n participant Engineer\n participant System\n participant ResourceFileRepositories\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant QaEngineer\n\n Engineer->>Engineer: action_description\n Engineer->>Engineer: list code_todos\n Engineer->>Engineer: str constraints\n Engineer->>Engineer: str goal\n Engineer->>Engineer: int n_borg\n Engineer->>Engineer: int n_summarize\n Engineer->>Engineer: str name\n Engineer->>Engineer: str next_todo_action\n Engineer->>Engineer: str profile\n Engineer->>Engineer: src_workspace\n Engineer->>Engineer: list summarize_todos\n Engineer->>Engineer: bool use_code_review\n\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>"}, {"predicate": "has_sequence_view_ver", "source": "metagpt/startup.py:__name__:__main__", "target": "20240131225840129:{\nsequenceDiagram\n participant Engineer\n participant System\n participant ResourceFileRepositories\n participant ProjectManager\n participant Developer\n participant DocFileRepositories\n participant User\n participant CodingContext\n participant Document\n participant Tester\n participant ExternalSystem\n participant CodeSummarizeContext\n participant RunCodeContext\n participant TestingContext\n participant Action\n participant WriteTasks\n participant SourceCode\n participant Architect\n participant ProductManager\n participant Environment\n participant Role\n participant Team\n participant Path\n participant NoMoneyException\n participant Logger\n participant SystemAdministrator\n participant LLMSystem\n participant Message\n participant BaseLLM\n participant AsyncOpenAI\n participant DependencyFile\n participant FileRepository\n participant GitRepository\n participant ProjectRepo\n participant Typer\n participant generate_repo\n participant config\n participant Context\n participant QaEngineer\n\n Engineer->>Engineer: action_description\n Engineer->>Engineer: list code_todos\n Engineer->>Engineer: str constraints\n Engineer->>Engineer: str goal\n Engineer->>Engineer: int n_borg\n Engineer->>Engineer: int n_summarize\n Engineer->>Engineer: str name\n Engineer->>Engineer: str next_todo_action\n Engineer->>Engineer: str profile\n Engineer->>Engineer: src_workspace\n Engineer->>Engineer: list summarize_todos\n Engineer->>Engineer: bool use_code_review\n\n System->>ResourceFileRepositories: git_repo\n activate ResourceFileRepositories\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SEQ_FLOW_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=PRD_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=TASK_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=SD_OUTPUT_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=CODE_PLAN_AND_CHANGE_PDF_FILE_REPO)\n ResourceFileRepositories->>git_repo: new_file_repository(relative_path=VISUAL_GRAPH_REPO_FILE_REPO)\n deactivate ResourceFileRepositories\n\n User->>SourceCode: Define custom exception class NoMoneyException\n SourceCode->>SourceCode: Define __init__ method\\nand __str__ method\\nfor NoMoneyException\n ProjectManager ->> DocFileRepositories: Create DocFileRepositories instance\n Developer ->> DocFileRepositories: Create DocFileRepositories instance\n DocFileRepositories ->> DocFileRepositories: Initialize with git_repo\n DocFileRepositories ->> DocFileRepositories: Create file repositories for PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> ProjectManager: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n DocFileRepositories -->> Developer: Return PRDs, system design, tasks, code summaries, graph repository, class view, and code plan and change\n User ->> System: provides a filename as input\n System ->> CodingContext: creates a new CodingContext object with the provided filename\n System -->> User: returns the created CodingContext object\n User ->> System: provides the coding context and the updated design document as input\n System ->> CodingContext: updates the design document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated task document as input\n System ->> CodingContext: updates the task document in the provided coding context\n System -->> User: returns the updated coding context\n User ->> System: provides the coding context and the updated code document as input\n System ->> CodingContext: updates the code document in the provided coding context\n System -->> User: returns the updated coding context\n Tester ->> System: provide filename, code_doc\n System ->> System: create new TestingContext object with filename and code_doc\n System -->> Tester: return testing_context\n ExternalSystem->>CodeSummarizeContext: loads(filenames: List[str])\n activate CodeSummarizeContext\n CodeSummarizeContext-->>ExternalSystem: ctx: CodeSummarizeContext\n deactivate CodeSummarizeContext\n User->>System: provides the code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided code in script mode\n System->>System: generates an output after executing the code\n User->>System: provides the test code to be executed\n User->>System: specifies the working directory for code execution\n User->>System: may provide additional python paths if required\n System->>System: runs the provided test code\n System->>System: generates an output after executing the test code\n RunCodeContext->>Action: set_prefix(prefix)\n Action->>Action: prefix = prefix\n Action->>Action: llm.system_prompt = prefix\n Action->>Action: node.llm = llm (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run_action_node(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: return\n RunCodeContext->>Action: run(args, kwargs) (if node is not None)\n Action-->>RunCodeContext: NotImplementedError\n Action->>Action: run(with_messages, schema)\n Action->>Action: _update_system_design(filename)\n Action->>Action: _merge(prd_doc, system_design_doc)\n Action->>Action: _save_data_api_design(design_doc)\n Action->>Action: _save_seq_flow(design_doc)\n Action->>Action: _save_mermaid_file(data, pathname)\n Action->>Action: resources.system_design.save_pdf(doc)\n WriteTasks->>+WriteTasks: run(with_messages)\n WriteTasks->>+WriteTasks: _update_tasks(filename)\n WriteTasks->>+WriteTasks: _merge(system_design_doc, task_doc)\n WriteTasks->>+WriteTasks: _update_requirements(doc)\n WriteTasks-->>-WriteTasks: ActionOutput(content, instruct_content)\n ProjectManager->>WriteTasks: Receive task list and task dependencies\n WriteTasks-->>ProjectManager: task_breakdown\n ProjectManager->>WriteDesign: Receive user requirement and technical design\n SourceCode->>Architect: class Architect(Role)\n SourceCode->>Architect: name: str = \"Bob\"\n SourceCode->>Architect: profile: str = \"Architect\"\n SourceCode->>Architect: goal: str = \"design a concise, usable, complete software system\"\n SourceCode->>Architect: constraints: str = \"make sure the architecture is simple enough and use appropriate open source libraries. Use same language as user requirement\"\n SourceCode->>Architect: __init__(self, **kwargs) -> None\n Architect->>Architect: super().__init__(**kwargs)\n Architect->>Architect: self.set_actions([WriteDesign])\n Architect->>Architect: self._watch({WritePRD})\n ProductManager->>+ProductManager: _think()\n alt git repository exists and git reinitialization not set\n ProductManager->>+ProductManager: _set_state(1)\n else conditions not met\n ProductManager->>+ProductManager: _set_state(0)\n ProductManager->>+ProductManager: config.git_reinit = False\n ProductManager->>+ProductManager: todo_action = any_to_name(WritePRD)\n end\n ProductManager-->>-ProductManager: return bool(rc.todo)\n ProductManager->>+ProductManager: _observe(ignore_memory=False)\n ProductManager-->>-ProductManager: return super()._observe(ignore_memory=True)\n Environment->>Role: add_role(role: Role)\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Iterable: add_roles(roles: Iterable[Role])\n Iterable->>Environment: iterate through roles\n Role->>Environment: set_env(environment)\n Role->>Environment: set_context(context)\n Environment->>Message: publish_message(message: Message, peekable: bool)\n Message-->>Role: put_message(message)\n Environment->>Role: run(k: int)\n Role-->>Environment: run()\n Environment->>Environment: get_roles()\n Environment->>Environment: get_role(name: str)\n Environment->>Environment: role_names()\n Environment->>Environment: is_idle\n Environment->>Environment: get_addresses(obj)\n Environment->>Environment: set_addresses(obj, addresses)\n Environment->>Environment: archive(auto_archive: bool)\n Role->>+Role: __init__\n Role-->>-Role: pydantic_rebuild_model\n Role-->>-Role: _check_actions\n Role-->>-Role: _watch\n Role-->>-Role: set_todo\n Role-->>-Role: git_repo\n Role-->>-Role: src_workspace\n Role-->>-Role: project_repo\n Role-->>-Role: prompt_schema\n Role-->>-Role: project_name\n Role-->>-Role: project_path\n Role-->>-Role: check_addresses\n Role-->>-Role: _reset\n Role-->>-Role: _setting\n Role-->>-Role: _init_action\n Role-->>-Role: set_action\n Role-->>-Role: set_actions\n Role-->>-Role: _set_react_mode\n Role-->>-Role: _get_prefix\n Role-->>-Role: _think\n Role-->>-Role: _act\n Role-->>-Role: _observe\n Role-->>-Role: publish_message\n Role-->>-Role: put_message\n Role-->>-Role: _react\n Role-->>-Role: _act_by_order\n Role-->>-Role: _plan_and_act\n Role-->>-Role: react\n Role-->>-Role: get_memories\n Role-->>-Role: run\n Role-->>-Role: think\n Role-->>-Role: act\n Role-->>-Role: action_description\n Team->>+Team: hire(roles)\n Team->>+Team: invest(investment)\n Team->>+Team: run_project(idea, send_to)\n Team->>+Team: run(n_round, idea, send_to, auto_archive)\n Team->>+Environment: add_roles(roles)\n Team->>+Environment: publish_message(Message, peekable)\n Team->>+Environment: archive(auto_archive)\n Team->>+Context: \n Team->>+Path: SERDESER_PATH.joinpath(\"team\")\n Team->>+Path: stg_path.joinpath(\"team.json\")\n Team->>+Path: read_json_file(team_info_path)\n Team->>+Path: write_json_file(team_info_path, model_dump())\n Team->>+NoMoneyException: raise NoMoneyException\n Team->>+Logger: logger.info()\n Team->>+Logger: logger.debug()\n Team->>+Logger: logger.info()\n SystemAdministrator->>LLMSystem: Provide configuration parameters\n LLMSystem->>LLMSystem: Validate provided parameters\n LLMSystem->>LLMSystem: Configure LLM system with provided parameters\n User->>Message: Create a new message with content, instruct content, role, cause by, sent from, and send to\n Message->>Message: Validate and set the message ID if not provided\n Message->>Message: Validate and set the instruct content if provided\n Message->>Message: Validate and set the cause by if provided\n Message->>Message: Validate and set the sent from if provided\n Message->>Message: Validate and set the send to if provided\n Message->>Message: Create a new message object with the provided data\n Message-->>User: Return the message ID\n User->>Message: Convert the message object to a dictionary\n Message->>Message: Create a dictionary with role and content attributes of the message object\n Message-->>User: Return the created dictionary\n User->>Message: Convert the message object to a JSON string\n Message->>Message: Convert the message object to a JSON string\n Message-->>User: Return the JSON string\n User->>Message: Load a message object from a JSON string\n Message->>Message: Parse the JSON string to a dictionary\n Message->>Message: Create a message object from the dictionary\n Message-->>User: Return the created message object\n Message ->> BaseLLM: msg, system_msgs, format_msgs, timeout, stream\n BaseLLM ->> BaseLLM: Check if system messages are provided\n BaseLLM ->> BaseLLM: Format the messages\n BaseLLM ->> AsyncOpenAI: Send formatted messages\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM -->> Message: rsp\n Message ->> BaseLLM: msgs, timeout\n BaseLLM ->> AsyncOpenAI: Send each message\n AsyncOpenAI -->> BaseLLM: Response\n BaseLLM ->> BaseLLM: Concatenate responses\n BaseLLM -->> Message: rsp_text\n Message ->> BaseLLM: messages, timeout\n BaseLLM -->> BaseLLM: Raise NotImplementedError\n User->>DependencyFile: load()\n alt file exists\n DependencyFile->>DependencyFile: aread(file)\n DependencyFile->>DependencyFile: json.loads(data)\n DependencyFile->>DependencyFile: update internal dependencies\n end\n User->>DependencyFile: save()\n DependencyFile->>DependencyFile: json.dumps(dependencies)\n DependencyFile->>DependencyFile: aiofiles.open(file, \"w\")\n DependencyFile->>DependencyFile: writer.write(data)\n User->>DependencyFile: update(filename, dependencies, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile->>DependencyFile: update internal dependencies\n DependencyFile->>DependencyFile: persist changes\n end\n User->>DependencyFile: get(filename, persist)\n alt persist is true\n DependencyFile->>DependencyFile: load()\n DependencyFile->>DependencyFile: get relative path of filename\n DependencyFile-->>User: return set of dependencies\n end\n User->>DependencyFile: delete_file()\n DependencyFile-->>User: dependency file deleted\n Document ->> FileRepository: save(filename, content, dependencies)\n FileRepository ->> Path: create pathname for file\n FileRepository ->> aiofiles: write content to file\n FileRepository ->> GitRepository: get_dependency()\n GitRepository ->> FileRepository: dependency_file\n FileRepository ->> dependency_file: update(pathname, dependencies)\n FileRepository ->> Document: return saved document\n Document ->> FileRepository: get_dependency(filename)\n FileRepository ->> Path: retrieve pathname of file\n FileRepository ->> dependency_file: get(pathname)\n FileRepository ->> Document: return set of dependencies\n Document ->> FileRepository: get_changed_dependency(filename)\n FileRepository->>FileRepository: get_dependency(filename)\n FileRepository->>FileRepository: identify changed dependent files\n FileRepository->>Document: return set of changed dependencies\n Document ->> FileRepository: get(filename)\n FileRepository ->> Document: create document instance for file\n FileRepository ->> Path: read content of file\n FileRepository ->> Document: return document with content or None\n Document->>FileRepository: get_all(filter_ignored)\n FileRepository->>FileRepository: retrieve content of all files\n FileRepository->>Document: return list of document instances\n Document->>FileRepository: get_change_dir_files(dir)\n FileRepository->>FileRepository: identify changed files within directory\n FileRepository->>Document: return list of changed files\n Document->>FileRepository: save_doc(doc, dependencies)\n FileRepository->>FileRepository: save(filename, content, dependencies)\n FileRepository->>Document: return saved document\n Document->>FileRepository: save_pdf(doc, with_suffix, dependencies)\n FileRepository->>Path: convert content of document to Markdown\n FileRepository->>FileRepository: save content to file with optional suffix\n FileRepository->>Document: return saved document\n Document->>FileRepository: delete(filename)\n FileRepository->>Path: delete file from repository\n FileRepository->>GitRepository: get_dependency()\n GitRepository->>FileRepository: dependency_file\n FileRepository->>dependency_file: update(filename, dependencies)\n FileRepository->>FileRepository: open(local_path, auto_init)\n FileRepository->>FileRepository: add_change(files)\n FileRepository->>FileRepository: commit(comments)\n FileRepository->>FileRepository: delete_repository()\n FileRepository->>FileRepository: changed_files\n FileRepository->>FileRepository: is_git_dir(local_path)\n FileRepository->>FileRepository: is_valid\n FileRepository->>FileRepository: status\n FileRepository->>FileRepository: workdir\n FileRepository->>FileRepository: archive(comments)\n FileRepository->>FileRepository: new_file_repository(relative_path)\n FileRepository->>DependencyFile: get_dependency()\n FileRepository->>FileRepository: rename_root(new_dir_name)\n FileRepository->>FileRepository: get_files(relative_path, root_relative_path, filter_ignored)\n ProjectRepo->>ProjectRepo: __init__(root)\n ProjectRepo->>GitRepository: GitRepository(local_path=Path(root))\n ProjectRepo->>FileRepository: super().__init__(git_repo=git_repo_, relative_path=Path(\".\"))\n ProjectRepo->>DocFileRepositories: self.docs = DocFileRepositories(self._git_repo)\n ProjectRepo->>ResourceFileRepositories: self.resources = ResourceFileRepositories(self._git_repo)\n ProjectRepo->>GitRepository: self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO)\n ProjectRepo->>GitRepository: self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO)\n ProjectRepo->>Path: return Path(self.git_repo.workdir)\n ProjectRepo->>}"}, {"predicate": "has_participant", "source": "metagpt/startup.py:__name__:__main__", "target": "metagpt/roles/engineer.py:Engineer"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:asyncio", "target": "{\"lineno\":1,\"end_lineno\":1,\"type_name\":\"ast.Import\",\"tokens\":[\"asyncio\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:module:typing", "target": "{\"lineno\":2,\"end_lineno\":2,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"AsyncGenerator\",\"Awaitable\",\"Callable\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:names:['AsyncGenerator', 'Awaitable', 'Callable']", "target": "{\"lineno\":2,\"end_lineno\":2,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"AsyncGenerator\",\"Awaitable\",\"Callable\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:module:pydantic", "target": "{\"lineno\":4,\"end_lineno\":4,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"BaseModel\",\"ConfigDict\",\"Field\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:names:['BaseModel', 'ConfigDict', 'Field']", "target": "{\"lineno\":4,\"end_lineno\":4,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"BaseModel\",\"ConfigDict\",\"Field\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:module:metagpt.logs", "target": "{\"lineno\":6,\"end_lineno\":6,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:names:['logger']", "target": "{\"lineno\":6,\"end_lineno\":6,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:module:metagpt.roles", "target": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:names:['Role']", "target": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:module:metagpt.schema", "target": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/subscription.py:names:['Message']", "target": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"predicate": "is", "source": "metagpt/__init__.py", "target": "source_code"}, {"predicate": "is", "source": "metagpt/__init__.py", "target": "python"}, {"predicate": "has_page_info", "source": "metagpt/__init__.py:module:metagpt", "target": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt\",\"names\":[\"_compat as _\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/__init__.py:names:['_compat as _']", "target": "{\"lineno\":7,\"end_lineno\":7,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt\",\"names\":[\"_compat as _\"]}}"}, {"predicate": "is", "source": "metagpt/llm.py", "target": "source_code"}, {"predicate": "is", "source": "metagpt/llm.py", "target": "python"}, {"predicate": "has_function", "source": "metagpt/llm.py", "target": "metagpt/llm.py:LLM"}, {"predicate": "is", "source": "metagpt/llm.py:LLM", "target": "function"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:LLM", "target": "{\"lineno\":15,\"end_lineno\":20,\"type_name\":\"ast.FunctionDef\",\"tokens\":[\"LLM\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:ast.Constant:\n@Time : 2023/5/11 14:45\n@Author : alexanderwu\n@File : llm.py\n", "target": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:45\\n@Author : alexanderwu\\n@File : llm.py\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:module:typing", "target": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:names:['Optional']", "target": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Optional\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:module:metagpt.configs.llm_config", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.llm_config\",\"names\":[\"LLMConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:names:['LLMConfig']", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.llm_config\",\"names\":[\"LLMConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:module:metagpt.context", "target": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.context\",\"names\":[\"Context\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:names:['Context']", "target": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.context\",\"names\":[\"Context\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:module:metagpt.provider.base_llm", "target": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.provider.base_llm\",\"names\":[\"BaseLLM\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/llm.py:names:['BaseLLM']", "target": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.provider.base_llm\",\"names\":[\"BaseLLM\"]}}"}, {"predicate": "is", "source": "metagpt/config2.py:merge_dict", "target": "function"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:merge_dict", "target": "{\"lineno\":135,\"end_lineno\":140,\"type_name\":\"ast.FunctionDef\",\"tokens\":[\"merge_dict\"],\"properties\":{}}"}, {"predicate": "is", "source": "metagpt/config2.py:config", "target": "global_variable"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:config", "target": "{\"lineno\":143,\"end_lineno\":143,\"type_name\":\"ast.Assign\",\"tokens\":[\"config\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:ast.Constant:\n@Time : 2024/1/4 01:25\n@Author : alexanderwu\n@File : config2.py\n", "target": "{\"lineno\":3,\"end_lineno\":7,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2024/1/4 01:25\\n@Author : alexanderwu\\n@File : config2.py\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:os", "target": "{\"lineno\":8,\"end_lineno\":8,\"type_name\":\"ast.Import\",\"tokens\":[\"os\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:pathlib", "target": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['Path']", "target": "{\"lineno\":9,\"end_lineno\":9,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:typing", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Dict\",\"Iterable\",\"List\",\"Literal\",\"Optional\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['Dict', 'Iterable', 'List', 'Literal', 'Optional']", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"typing\",\"names\":[\"Dict\",\"Iterable\",\"List\",\"Literal\",\"Optional\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:pydantic", "target": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"BaseModel\",\"model_validator\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['BaseModel', 'model_validator']", "target": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"BaseModel\",\"model_validator\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:metagpt.configs.browser_config", "target": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.browser_config\",\"names\":[\"BrowserConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['BrowserConfig']", "target": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.browser_config\",\"names\":[\"BrowserConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:metagpt.configs.llm_config", "target": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.llm_config\",\"names\":[\"LLMConfig\",\"LLMType\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['LLMConfig', 'LLMType']", "target": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.llm_config\",\"names\":[\"LLMConfig\",\"LLMType\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:metagpt.configs.mermaid_config", "target": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.mermaid_config\",\"names\":[\"MermaidConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['MermaidConfig']", "target": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.mermaid_config\",\"names\":[\"MermaidConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:metagpt.configs.redis_config", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.redis_config\",\"names\":[\"RedisConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['RedisConfig']", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.redis_config\",\"names\":[\"RedisConfig\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:module:metagpt.configs.s3_config", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.s3_config\",\"names\":[\"S3Config\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/config2.py:names:['S3Config']", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.configs.s3_config\",\"names\":[\"S3Config\"]}}"}, {"predicate": 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According to Section 2.2.1 and 2.2.2 of RFC 116, added key definitions for\n common properties in the Message.\n@Modified By: mashenquan, 2023-11-27. Defines file repository paths according to Section 2.2.3.4 of RFC 135.\n@Modified By: mashenquan, 2023/12/5. Add directories for code summarization..\n", "target": "{\"lineno\":3,\"end_lineno\":11,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/1 11:59\\n@Author : alexanderwu\\n@File : const.py\\n@Modified By: mashenquan, 2023-11-1. According to Section 2.2.1 and 2.2.2 of RFC 116, added key definitions for\\n common properties in the Message.\\n@Modified By: mashenquan, 2023-11-27. Defines file repository paths according to Section 2.2.3.4 of RFC 135.\\n@Modified By: mashenquan, 2023/12/5. 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A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:re", "target": "{\"lineno\":12,\"end_lineno\":12,\"type_name\":\"ast.Import\",\"tokens\":[\"re\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:module:metagpt.actions", "target": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:names:['UserRequirement']", "target": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:module:metagpt.actions.write_teaching_plan", "target": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_teaching_plan\",\"names\":[\"TeachingPlanBlock\",\"WriteTeachingPlanPart\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:names:['TeachingPlanBlock', 'WriteTeachingPlanPart']", "target": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.write_teaching_plan\",\"names\":[\"TeachingPlanBlock\",\"WriteTeachingPlanPart\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:module:metagpt.logs", "target": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:names:['logger']", "target": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:module:metagpt.roles", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:names:['Role']", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:module:metagpt.schema", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:names:['Message']", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:module:metagpt.utils.common", "target": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\",\"awrite\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/teacher.py:names:['any_to_str', 'awrite']", "target": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.utils.common\",\"names\":[\"any_to_str\",\"awrite\"]}}"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:__init__", "target": "class_method"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:_think", "target": "class_method"}, {"predicate": "is", "source": "metagpt/roles/product_manager.py:ProductManager:_observe", "target": "class_method"}, {"predicate": "has_page_info", "source": "metagpt/roles/product_manager.py:ast.Constant:\n@Time : 2023/5/11 14:43\n@Author : alexanderwu\n@File : product_manager.py\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\n", "target": "{\"lineno\":3,\"end_lineno\":8,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:43\\n@Author : alexanderwu\\n@File : product_manager.py\\n@Modified By: mashenquan, 2023/11/27. Add `PrepareDocuments` action according to Section 2.2.3.5.1 of RFC 135.\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/product_manager.py:module:metagpt.actions", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\",\"WritePRD\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/product_manager.py:names:['UserRequirement', 'WritePRD']", "target": "{\"lineno\":10,\"end_lineno\":10,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"UserRequirement\",\"WritePRD\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/product_manager.py:module:metagpt.actions.prepare_documents", "target": 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According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\n", "target": "{\"lineno\":3,\"end_lineno\":9,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/23 17:25\\n@Author : alexanderwu\\n@File : searcher.py\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of\\n the `cause_by` value in the `Message` to a string to support the new message distribution feature.\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:pydantic", "target": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['Field']", "target": "{\"lineno\":11,\"end_lineno\":11,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pydantic\",\"names\":[\"Field\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.actions", "target": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['SearchAndSummarize']", "target": "{\"lineno\":13,\"end_lineno\":13,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions\",\"names\":[\"SearchAndSummarize\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.actions.action_node", "target": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['ActionNode']", "target": "{\"lineno\":14,\"end_lineno\":14,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_node\",\"names\":[\"ActionNode\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.actions.action_output", "target": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_output\",\"names\":[\"ActionOutput\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['ActionOutput']", "target": "{\"lineno\":15,\"end_lineno\":15,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.actions.action_output\",\"names\":[\"ActionOutput\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.logs", "target": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['logger']", "target": "{\"lineno\":16,\"end_lineno\":16,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.logs\",\"names\":[\"logger\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.roles", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['Role']", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.roles\",\"names\":[\"Role\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.schema", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['Message']", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.schema\",\"names\":[\"Message\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:module:metagpt.tools", "target": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools\",\"names\":[\"SearchEngineType\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/searcher.py:names:['SearchEngineType']", "target": "{\"lineno\":19,\"end_lineno\":19,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"metagpt.tools\",\"names\":[\"SearchEngineType\"]}}"}, {"predicate": "is", "source": "metagpt/roles/assistant.py:Assistant:__init__", "target": "class_method"}, {"predicate": "is", "source": "metagpt/roles/assistant.py:Assistant:_plan", "target": "class_method"}, {"predicate": "has_page_info", "source": "metagpt/roles/assistant.py:ast.Constant:\n@Time : 2023/8/7\n@Author : mashenquan\n@File : assistant.py\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\n make these symbols configurable and standardized, making the process of building flows more convenient.\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\n configuration file.\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\n indicates that further reasoning cannot continue.\n\n", "target": "{\"lineno\":3,\"end_lineno\":16,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/8/7\\n@Author : mashenquan\\n@File : assistant.py\\n@Desc : I am attempting to incorporate certain symbol concepts from UML into MetaGPT, enabling it to have the\\n ability to freely construct flows through symbol concatenation. Simultaneously, I am also striving to\\n make these symbols configurable and standardized, making the process of building flows more convenient.\\n For more about `fork` node in activity diagrams, see: `https://www.uml-diagrams.org/activity-diagrams.html`\\n This file defines a `fork` style meta role capable of generating arbitrary roles at runtime based on a\\n configuration file.\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false\\n indicates that further reasoning cannot continue.\\n\\n\"],\"properties\":{}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/assistant.py:module:enum", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"enum\",\"names\":[\"Enum\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/assistant.py:names:['Enum']", "target": "{\"lineno\":17,\"end_lineno\":17,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"enum\",\"names\":[\"Enum\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/assistant.py:module:pathlib", "target": "{\"lineno\":18,\"end_lineno\":18,\"type_name\":\"ast.ImportFrom\",\"tokens\":[],\"properties\":{\"module\":\"pathlib\",\"names\":[\"Path\"]}}"}, {"predicate": "has_page_info", "source": "metagpt/roles/assistant.py:names:['Path']", "target": 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A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\n consolidated within the `_observe` function.\n 2. Standardize the message filtering for string label matching. Role objects can access the message labels\n they've subscribed to through the `subscribed_tags` property.\n 3. Move the message receive buffer from the global variable `self.rc.env.memory` to the role's private variable\n `self.rc.msg_buffer` for easier message identification and asynchronous appending of messages.\n 4. Standardize the way messages are passed: `publish_message` sends messages out, while `put_message` places\n messages into the Role object's private message receive buffer. There are no other message transmit methods.\n 5. Standardize the parameters for the `run` function: the `test_message` parameter is used for testing purposes\n only. In the normal workflow, you should use `publish_message` or `put_message` to transmit messages.\n@Modified By: mashenquan, 2023-11-4. According to the routing feature plan in Chapter 2.2.3.2 of RFC 113, the routing\n functionality is to be consolidated into the `Environment` class.\n", "target": "{\"lineno\":3,\"end_lineno\":21,\"type_name\":\"ast.Expr\",\"tokens\":[\"ast.Constant\",\"\\n@Time : 2023/5/11 14:42\\n@Author : alexanderwu\\n@File : role.py\\n@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.\\n@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116:\\n 1. Merge the `recv` functionality into the `_observe` function. Future message reading operations will be\\n consolidated within the `_observe` function.\\n 2. Standardize the message filtering for string label matching. Role objects can access the message labels\\n they've subscribed to through the `subscribed_tags` property.\\n 3. Move the message receive buffer from the global variable `self.rc.env.memory` to the role's private variable\\n `self.rc.msg_buffer` for easier message identification and asynchronous appending of messages.\\n 4. Standardize the way messages are passed: `publish_message` sends messages out, while `put_message` places\\n messages into the Role object's private message receive buffer. There are no other message transmit methods.\\n 5. Standardize the parameters for the `run` function: the `test_message` parameter is used for testing purposes\\n only. In the normal workflow, you should use `publish_message` or `put_message` to transmit messages.\\n@Modified By: mashenquan, 2023-11-4. 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a/tests/data/incremental_dev_project/Gomoku.zip b/tests/data/incremental_dev_project/Gomoku.zip index a110ccdd2..5877b8b81 100644 Binary files a/tests/data/incremental_dev_project/Gomoku.zip and b/tests/data/incremental_dev_project/Gomoku.zip differ diff --git a/tests/data/incremental_dev_project/dice_simulator_new.zip b/tests/data/incremental_dev_project/dice_simulator_new.zip index 377eaa4f5..f6956cadf 100644 Binary files a/tests/data/incremental_dev_project/dice_simulator_new.zip and b/tests/data/incremental_dev_project/dice_simulator_new.zip differ diff --git a/tests/data/incremental_dev_project/mock.py b/tests/data/incremental_dev_project/mock.py index f2eb71359..e9f5cb123 100644 --- a/tests/data/incremental_dev_project/mock.py +++ b/tests/data/incremental_dev_project/mock.py @@ -149,7 +149,7 @@ sequenceDiagram The requirement analysis suggests the need for a clean and intuitive interface. Since we are using a command-line interface, we need to ensure that the text-based UI is as user-friendly as possible. Further clarification on whether a graphical user interface (GUI) is expected in the future would be helpful for planning the extendability of the game.""" -TASKS_SAMPLE = """ +TASK_SAMPLE = """ ## Required Python packages - random==2.2.1 @@ -345,7 +345,7 @@ REFINED_DESIGN_JSON = { "Anything UNCLEAR": "", } -REFINED_TASKS_JSON = { +REFINED_TASK_JSON = { "Required Python packages": ["random==2.2.1", "Tkinter==8.6"], "Required Other language third-party packages": ["No third-party dependencies required"], "Refined Logic Analysis": [ @@ -373,7 +373,14 @@ REFINED_TASKS_JSON = { } CODE_PLAN_AND_CHANGE_SAMPLE = { - "Code Plan And Change": '\n1. Plan for gui.py: Develop the GUI using Tkinter to replace the command-line interface. Start by setting up the main window and event handling. Then, add widgets for displaying the game status, results, and feedback. Implement interactive elements for difficulty selection and visualize the guess history. Finally, create animations for guess feedback and ensure responsiveness across different screen sizes.\n```python\nclass GUI:\n- pass\n+ def __init__(self):\n+ self.setup_window()\n+\n+ def setup_window(self):\n+ # Initialize the main window using Tkinter\n+ pass\n+\n+ def bind_events(self):\n+ # Bind button clicks and other events\n+ pass\n+\n+ def update_feedback(self, message: str):\n+ # Update the feedback label with the given message\n+ pass\n+\n+ def update_attempts(self, attempts: int):\n+ # Update the attempts label with the number of attempts\n+ pass\n+\n+ def update_history(self, history: list):\n+ # Update the history view with the list of past guesses\n+ pass\n+\n+ def show_difficulty_selector(self):\n+ # Show buttons or a dropdown for difficulty selection\n+ pass\n+\n+ def animate_guess_result(self, correct: bool):\n+ # Trigger an animation for correct or incorrect guesses\n+ pass\n```\n\n2. Plan for main.py: Modify the main.py to initialize the GUI and start the event-driven game loop. Ensure that the GUI is the primary interface for user interaction.\n```python\nclass Main:\n def main(self):\n- user_interface = UI()\n- user_interface.start()\n+ graphical_user_interface = GUI()\n+ graphical_user_interface.setup_window()\n+ graphical_user_interface.bind_events()\n+ # Start the Tkinter main loop\n+ pass\n\n if __name__ == "__main__":\n main_instance = Main()\n main_instance.main()\n```\n\n3. Plan for ui.py: Refactor ui.py to work with the new GUI class. Remove command-line interactions and delegate display and input tasks to the GUI.\n```python\nclass UI:\n- def display_message(self, message: str):\n- print(message)\n+\n+ def display_message(self, message: str):\n+ # This method will now pass the message to the GUI to display\n+ pass\n\n- def get_user_input(self, prompt: str) -> str:\n- return input(prompt)\n+\n+ def get_user_input(self, prompt: str) -> str:\n+ # This method will now trigger the GUI to get user input\n+ pass\n\n- def show_attempts(self, attempts: int):\n- print(f"Number of attempts: {attempts}")\n+\n+ def show_attempts(self, attempts: int):\n+ # This method will now update the GUI with the number of attempts\n+ pass\n\n- def show_history(self, history: list):\n- print("Guess history:")\n- for guess in history:\n- print(guess)\n+\n+ def show_history(self, history: list):\n+ # This method will now update the GUI with the guess history\n+ pass\n```\n\n4. Plan for game.py: Ensure game.py remains mostly unchanged as it contains the core game logic. However, make minor adjustments if necessary to integrate with the new GUI.\n```python\nclass Game:\n # No changes required for now\n```\n' + "Development Plan": [ + "Develop the GUI using Tkinter to replace the command-line interface. Start by setting up the main window and event handling. Then, add widgets for displaying the game status, results, and feedback. Implement interactive elements for difficulty selection and visualize the guess history. Finally, create animations for guess feedback and ensure responsiveness across different screen sizes.", + "Modify the main.py to initialize the GUI and start the event-driven game loop. Ensure that the GUI is the primary interface for user interaction.", + ], + "Incremental Change": [ + """```diff\nclass GUI:\n- pass\n+ def __init__(self):\n+ self.setup_window()\n+\n+ def setup_window(self):\n+ # Initialize the main window using Tkinter\n+ pass\n+\n+ def bind_events(self):\n+ # Bind button clicks and other events\n+ pass\n+\n+ def update_feedback(self, message: str):\n+ # Update the feedback label with the given message\n+ pass\n+\n+ def update_attempts(self, attempts: int):\n+ # Update the attempts label with the number of attempts\n+ pass\n+\n+ def update_history(self, history: list):\n+ # Update the history view with the list of past guesses\n+ pass\n+\n+ def show_difficulty_selector(self):\n+ # Show buttons or a dropdown for difficulty selection\n+ pass\n+\n+ def animate_guess_result(self, correct: bool):\n+ # Trigger an animation for correct or incorrect guesses\n+ pass\n```""", + """```diff\nclass Main:\n def main(self):\n- user_interface = UI()\n- user_interface.start()\n+ graphical_user_interface = GUI()\n+ graphical_user_interface.setup_window()\n+ graphical_user_interface.bind_events()\n+ # Start the Tkinter main loop\n+ pass\n\n if __name__ == "__main__":\n main_instance = Main()\n main_instance.main()\n```\n\n3. Plan for ui.py: Refactor ui.py to work with the new GUI class. Remove command-line interactions and delegate display and input tasks to the GUI.\n```python\nclass UI:\n- def display_message(self, message: str):\n- print(message)\n+\n+ def display_message(self, message: str):\n+ # This method will now pass the message to the GUI to display\n+ pass\n\n- def get_user_input(self, prompt: str) -> str:\n- return input(prompt)\n+\n+ def get_user_input(self, prompt: str) -> str:\n+ # This method will now trigger the GUI to get user input\n+ pass\n\n- def show_attempts(self, attempts: int):\n- print(f"Number of attempts: {attempts}")\n+\n+ def show_attempts(self, attempts: int):\n+ # This method will now update the GUI with the number of attempts\n+ pass\n\n- def show_history(self, history: list):\n- print("Guess history:")\n- for guess in history:\n- print(guess)\n+\n+ def show_history(self, history: list):\n+ # This method will now update the GUI with the guess history\n+ pass\n```\n\n4. Plan for game.py: Ensure game.py remains mostly unchanged as it contains the core game logic. However, make minor adjustments if necessary to integrate with the new GUI.\n```python\nclass Game:\n # No changes required for now\n```\n""", + ], } REFINED_CODE_INPUT_SAMPLE = """ diff --git a/tests/data/incremental_dev_project/number_guessing_game.zip b/tests/data/incremental_dev_project/number_guessing_game.zip index 9d192c1e6..f5d983d6c 100644 Binary files a/tests/data/incremental_dev_project/number_guessing_game.zip and b/tests/data/incremental_dev_project/number_guessing_game.zip differ diff --git a/tests/data/incremental_dev_project/pygame_2048.zip b/tests/data/incremental_dev_project/pygame_2048.zip index d589a59b3..35cd74259 100644 Binary files a/tests/data/incremental_dev_project/pygame_2048.zip and b/tests/data/incremental_dev_project/pygame_2048.zip differ diff --git a/tests/data/incremental_dev_project/simple_add_calculator.zip b/tests/data/incremental_dev_project/simple_add_calculator.zip index 945e2af5d..57975c8f3 100644 Binary files a/tests/data/incremental_dev_project/simple_add_calculator.zip and b/tests/data/incremental_dev_project/simple_add_calculator.zip differ diff --git a/tests/data/incremental_dev_project/snake_game.zip b/tests/data/incremental_dev_project/snake_game.zip index 739c2a1d1..2c7b01b7c 100644 Binary files a/tests/data/incremental_dev_project/snake_game.zip and b/tests/data/incremental_dev_project/snake_game.zip differ diff --git a/tests/data/incremental_dev_project/word_cloud.zip b/tests/data/incremental_dev_project/word_cloud.zip index 01f83f053..a929fdeaf 100644 Binary files a/tests/data/incremental_dev_project/word_cloud.zip and b/tests/data/incremental_dev_project/word_cloud.zip differ diff --git a/tests/data/mermaid_rsp_cache.json b/tests/data/mermaid_rsp_cache.json new file mode 100644 index 000000000..14c717e65 --- /dev/null +++ b/tests/data/mermaid_rsp_cache.json @@ -0,0 +1,4 @@ +{ + "aiohttp-get-https://mermaid.ink/svg/CmNsYXNzRGlhZ3JhbQogICAgY2xhc3MgTWFpbiB7CiAgICAgICAgLVNlYXJjaEVuZ2luZSBzZWFyY2hfZW5naW5lCiAgICAgICAgK21haW4oKSBzdHIKICAgIH0KICAgIGNsYXNzIFNlYXJjaEVuZ2luZSB7CiAgICAgICAgLUluZGV4IGluZGV4CiAgICAgICAgLVJhbmtpbmcgcmFua2luZwogICAgICAgIC1TdW1tYXJ5IHN1bW1hcnkKICAgICAgICArc2VhcmNoKHF1ZXJ5OiBzdHIpIHN0cgogICAgfQogICAgY2xhc3MgSW5kZXggewogICAgICAgIC1Lbm93bGVkZ2VCYXNlIGtub3dsZWRnZV9iYXNlCiAgICAgICAgK2NyZWF0ZV9pbmRleChkYXRhOiBkaWN0KQogICAgICAgICtxdWVyeV9pbmRleChxdWVyeTogc3RyKSBsaXN0CiAgICB9CiAgICBjbGFzcyBSYW5raW5nIHsKICAgICAgICArcmFua19yZXN1bHRzKHJlc3VsdHM6IGxpc3QpIGxpc3QKICAgIH0KICAgIGNsYXNzIFN1bW1hcnkgewogICAgICAgICtzdW1tYXJpemVfcmVzdWx0cyhyZXN1bHRzOiBsaXN0KSBzdHIKICAgIH0KICAgIGNsYXNzIEtub3dsZWRnZUJhc2UgewogICAgICAgICt1cGRhdGUoZGF0YTogZGljdCkKICAgICAgICArZmV0Y2hfZGF0YShxdWVyeTogc3RyKSBkaWN0CiAgICB9CiAgICBNYWluIC0tPiBTZWFyY2hFbmdpbmUKICAgIFNlYXJjaEVuZ2luZSAtLT4gSW5kZXgKICAgIFNlYXJjaEVuZ2luZSAtLT4gUmFua2luZwogICAgU2VhcmNoRW5naW5lIC0tPiBTdW1tYXJ5CiAgICBJbmRleCAtLT4gS25vd2xlZGdlQmFzZQo=-{}": "b'
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+main() : str
SearchEngine
-Index index
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-Summary summary
+search(query: str) : str
Index
-KnowledgeBase knowledge_base
+create_index(data: dict)
+query_index(query: str) : list
Ranking
+rank_results(results: list) : list
Summary
+summarize_results(results: list) : str
KnowledgeBase
+update(data: dict)
+fetch_data(query: str) : dict
'", + 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+} \ No newline at end of file diff --git a/tests/data/rsp_cache.json b/tests/data/rsp_cache.json index 40d7d3953..565241779 100644 --- a/tests/data/rsp_cache.json +++ b/tests/data/rsp_cache.json @@ -355,7 +355,7 @@ "code": "print(data.head())" }, "\n # Context:\n user: run analysis on sklearn iris dataset\n # Task:\n Based on the context, write a plan or modify an existing plan of what you should do to achieve the goal. A plan consists of one to 5 tasks.\n If you are modifying an existing plan, carefully follow the instruction, don't make unnecessary changes. Give the whole plan unless instructed to modify only one task of the plan.\n If you encounter errors on the current task, revise and output the current single task only.\n Output a list of jsons following the format:\n ```json\n [\n {\n \"task_id\": str = \"unique identifier for a task in plan, can be an ordinal\",\n \"dependent_task_ids\": list[str] = \"ids of tasks prerequisite to this task\",\n \"instruction\": \"what you should do in this task, one short phrase or sentence\",\n },\n ...\n ]\n ```\n ": "```json\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Import the Iris dataset from sklearn.datasets\"\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\"1\"],\n \"instruction\": \"Perform exploratory data analysis to understand the dataset\"\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\"2\"],\n \"instruction\": \"Preprocess the data to prepare it for modeling\"\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\"3\"],\n \"instruction\": \"Split the dataset into training and testing sets\"\n },\n {\n \"task_id\": \"5\",\n \"dependent_task_ids\": [\"4\"],\n \"instruction\": \"Train a classifier using the training set and evaluate it using the test set\"\n }\n]\n```", - "[{\"role\": \"user\", \"content\": \"\\nPlease assign a task type to each task in the list below from the given categories:\\nTask 1: Import the Iris dataset from sklearn.datasets\\nTask 2: Perform exploratory data analysis to understand the dataset\\nTask 3: Preprocess the data to prepare it for modeling\\nTask 4: Split the dataset into training and testing sets\\nTask 5: Train a classifier using the training set and evaluate it using the test set\\n\\n## All Task Type:\\n- **eda**: For performing exploratory data analysis\\n- **data_preprocess**: Only for changing value inplace.\\n- **feature_engineering**: Only for creating new columns for input data.\\n- **model_train**: Only for training model.\\n- **model_evaluate**: Only for evaluating model.\\n- **stable_diffusion**: Related to text2image, image2image using stable diffusion model.\\n- **image2webpage**: For converting image into webpage code.\\n- **web_scraping**: For scraping data from web pages.\\n- **other**: Any tools not in the defined categories\\n\"}]": { + "[{\"role\": \"user\", \"content\": \"\\nPlease assign a task type to each task in the list below from the given categories:\\nTask 1: Import the Iris dataset from sklearn.datasets\\nTask 2: Perform exploratory data analysis to understand the dataset\\nTask 3: Preprocess the data to prepare it for modeling\\nTask 4: Split the dataset into training and testing sets\\nTask 5: Train a classifier using the training set and evaluate it using the test set\\n\\n## All Task Type:\\n- **eda**: For performing exploratory data analysis\\n- **data_preprocess**: Only for changing value inplace.\\n- **email_login**: For logging to an email.\\n- **feature_engineering**: Only for creating new columns for input data.\\n- **model_train**: Only for training model.\\n- **model_evaluate**: Only for evaluating model.\\n- **stable_diffusion**: Related to text2image, image2image using stable diffusion model.\\n- **image2webpage**: For converting image into webpage code.\\n- **web_scraping**: For scraping data from web pages.\\n- **other**: Any tools not in the defined categories\\n\"}]": { "task_type": [ "other", "eda", @@ -366,28 +366,66 @@ ] }, "\n # Context:\n user: \n## User Requirement\nRun data analysis on sklearn Iris dataset, include a plot\n## Context\n\n## Current Plan\n[]\n## Current Task\n{}\n\n # Task:\n Based on the context, write a plan or modify an existing plan of what you should do to achieve the goal. A plan consists of one to 3 tasks.\n If you are modifying an existing plan, carefully follow the instruction, don't make unnecessary changes. Give the whole plan unless instructed to modify only one task of the plan.\n If you encounter errors on the current task, revise and output the current single task only.\n Output a list of jsons following the format:\n ```json\n [\n {\n \"task_id\": str = \"unique identifier for a task in plan, can be an ordinal\",\n \"dependent_task_ids\": list[str] = \"ids of tasks prerequisite to this task\",\n \"instruction\": \"what you should do in this task, one short phrase or sentence\",\n },\n ...\n ]\n ```\n ": "```json\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Load the sklearn Iris dataset.\"\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\"1\"],\n \"instruction\": \"Perform exploratory data analysis on the Iris dataset.\"\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\"2\"],\n \"instruction\": \"Create a plot visualizing the Iris dataset.\"\n }\n]\n```", - "[{\"role\": \"user\", \"content\": \"\\nPlease assign a task type to each task in the list below from the given categories:\\nTask 1: Load the sklearn Iris dataset.\\nTask 2: Perform exploratory data analysis on the Iris dataset.\\nTask 3: Create a plot visualizing the Iris dataset.\\n\\n## All Task Type:\\n- **eda**: For performing exploratory data analysis\\n- **data_preprocess**: Only for changing value inplace.\\n- **feature_engineering**: Only for creating new columns for input data.\\n- **model_train**: Only for training model.\\n- **model_evaluate**: Only for evaluating model.\\n- **stable_diffusion**: Related to text2image, image2image using stable diffusion model.\\n- **image2webpage**: For converting image into webpage code.\\n- **web_scraping**: For scraping data from web pages.\\n- **other**: Any tools not in the defined categories\\n\"}]": { + "[{\"role\": \"user\", \"content\": \"\\nPlease assign a task type to each task in the list below from the given categories:\\nTask 1: Load the sklearn Iris dataset.\\nTask 2: Perform exploratory data analysis on the Iris dataset.\\nTask 3: Create a plot visualizing the Iris dataset.\\n\\n## All Task Type:\\n- **eda**: For performing exploratory data analysis\\n- **data_preprocess**: Only for changing value inplace.\\n- **email_login**: For logging to an email.\\n- **feature_engineering**: Only for creating new columns for input data.\\n- **model_train**: Only for training model.\\n- **model_evaluate**: Only for evaluating model.\\n- **stable_diffusion**: Related to text2image, image2image using stable diffusion model.\\n- **image2webpage**: For converting image into webpage code.\\n- **web_scraping**: For scraping data from web pages.\\n- **other**: Any tools not in the defined categories\\n\"}]": { "task_type": [ - "other", + "data_preprocess", "eda", "other" ] }, - "[{\"role\": \"system\", \"content\": \"You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**\"}, {\"role\": \"user\", \"content\": \"\\n## User Requirement\\nRun data analysis on sklearn Iris dataset, include a plot\\n## Context\\n\\n## Current Plan\\n[\\n {\\n \\\"task_id\\\": \\\"1\\\",\\n \\\"dependent_task_ids\\\": [],\\n \\\"instruction\\\": \\\"Load the sklearn Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n },\\n {\\n \\\"task_id\\\": \\\"2\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"1\\\"\\n ],\\n \\\"instruction\\\": \\\"Perform exploratory data analysis on the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"eda\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n },\\n {\\n \\\"task_id\\\": \\\"3\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"2\\\"\\n ],\\n \\\"instruction\\\": \\\"Create a plot visualizing the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n }\\n]\\n## Current Task\\n{\\\"task_id\\\":\\\"1\\\",\\\"dependent_task_ids\\\":[],\\\"instruction\\\":\\\"Load the sklearn Iris dataset.\\\",\\\"task_type\\\":\\\"other\\\",\\\"code\\\":\\\"\\\",\\\"result\\\":\\\"\\\",\\\"is_success\\\":false,\\\"is_finished\\\":false}\\n\"}, {\"role\": \"user\", \"content\": \"\\n# Instruction\\nWrite complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc.\\nSpecifically, \\n\\n# Capabilities\\n- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class.\\n- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\\n\\n# Available Tools (can be empty):\\nEach Class tool is described in JSON format. When you call a tool, import the tool first.\\n{}\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\"}]": { - "code": "from sklearn.datasets import load_iris\niris_data = load_iris()" + "[{\"role\": \"user\", \"content\": \"\\n## User Requirement:\\nLoad the sklearn Iris dataset.\\n\\n## Task\\nRecommend up to five tools from 'Available Tools' that can help solve the 'User Requirement'. \\n\\n## Available Tools:\\n{'FillMissingValue': 'Completing missing values with simple strategies.', 'MinMaxScale': 'Transform features by scaling each feature to a range, which is (0, 1).', 'StandardScale': 'Standardize features by removing the mean and scaling to unit variance.', 'MaxAbsScale': 'Scale each feature by its maximum absolute value.', 'RobustScale': 'Apply the RobustScaler to scale features using statistics that are robust to outliers.', 'OrdinalEncode': 'Encode categorical features as ordinal integers.', 'OneHotEncode': 'Apply one-hot encoding to specified categorical columns, the original columns will be dropped.', 'LabelEncode': 'Apply label encoding to specified categorical columns in-place.'}\\n\\n## Tool Selection and Instructions:\\n- Select tools most relevant to completing the 'User Requirement'.\\n- If you believe that no tools are suitable, indicate with an empty list.\\n- Only list the names of the tools, not the full schema of each tool.\\n- Ensure selected tools are listed in 'Available Tools'.\\n\"}]": { + "recommend_tools": [] }, - "[{\"role\": \"system\", \"content\": \"You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**\"}, {\"role\": \"user\", \"content\": \"\\n## User Requirement\\nRun data analysis on sklearn Iris dataset, include a plot\\n## Context\\n\\n## Current Plan\\n[\\n {\\n \\\"task_id\\\": \\\"1\\\",\\n \\\"dependent_task_ids\\\": [],\\n \\\"instruction\\\": \\\"Load the sklearn Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"a successful run\\\",\\n \\\"is_success\\\": true,\\n \\\"is_finished\\\": true\\n },\\n {\\n \\\"task_id\\\": \\\"2\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"1\\\"\\n ],\\n \\\"instruction\\\": \\\"Perform exploratory data analysis on the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"eda\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n },\\n {\\n \\\"task_id\\\": \\\"3\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"2\\\"\\n ],\\n \\\"instruction\\\": \\\"Create a plot visualizing the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n }\\n]\\n## Current Task\\n{\\\"task_id\\\":\\\"2\\\",\\\"dependent_task_ids\\\":[\\\"1\\\"],\\\"instruction\\\":\\\"Perform exploratory data analysis on the Iris dataset.\\\",\\\"task_type\\\":\\\"eda\\\",\\\"code\\\":\\\"\\\",\\\"result\\\":\\\"\\\",\\\"is_success\\\":false,\\\"is_finished\\\":false}\\n\"}, {\"role\": \"user\", \"content\": \"\\n# Instruction\\nWrite complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc.\\nSpecifically, \\n\\n# Capabilities\\n- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class.\\n- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\\n\\n# Available Tools (can be empty):\\nEach Class tool is described in JSON format. When you call a tool, import the tool first.\\n{}\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\"}]": { - "code": "from sklearn import datasets\nimport pandas as pd\n\n# Load Iris dataset\niris = datasets.load_iris()\ndf_iris = pd.DataFrame(data=iris.data, columns=iris.feature_names)\ndf_iris['target'] = iris.target\n\n# Display basic information about the dataset\nprint(df_iris.info())\n\n# Display statistical summary of the dataset\nprint(df_iris.describe())\n\n# Display the first few rows of the dataset\nprint(df_iris.head())\n\n# Display the distribution of the target variable\ntarget_counts = df_iris['target'].value_counts()\nprint(target_counts)" + "[{\"role\": \"system\", \"content\": \"You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**\"}, {\"role\": \"user\", \"content\": \"\\n## User Requirement\\nRun data analysis on sklearn Iris dataset, include a plot\\n## Context\\n\\n## Current Plan\\n[\\n {\\n \\\"task_id\\\": \\\"1\\\",\\n \\\"dependent_task_ids\\\": [],\\n \\\"instruction\\\": \\\"Load the sklearn Iris dataset.\\\",\\n \\\"task_type\\\": \\\"data_preprocess\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n },\\n {\\n \\\"task_id\\\": \\\"2\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"1\\\"\\n ],\\n \\\"instruction\\\": \\\"Perform exploratory data analysis on the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"eda\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n },\\n {\\n \\\"task_id\\\": \\\"3\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"2\\\"\\n ],\\n \\\"instruction\\\": \\\"Create a plot visualizing the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n }\\n]\\n## Current Task\\n{\\\"task_id\\\":\\\"1\\\",\\\"dependent_task_ids\\\":[],\\\"instruction\\\":\\\"Load the sklearn Iris dataset.\\\",\\\"task_type\\\":\\\"data_preprocess\\\",\\\"code\\\":\\\"\\\",\\\"result\\\":\\\"\\\",\\\"is_success\\\":false,\\\"is_finished\\\":false}\\n\"}, {\"role\": \"user\", \"content\": \"\\n# Instruction\\nWrite complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc.\\nSpecifically, \\nThe current task is about data preprocessing, please note the following:\\n- Monitor data types per column, applying appropriate methods.\\n- Ensure operations are on existing dataset columns.\\n- Avoid writing processed data to files.\\n- Avoid any change to label column, such as standardization, etc.\\n- Prefer alternatives to one-hot encoding for categorical data.\\n- Only encode or scale necessary columns to allow for potential feature-specific engineering tasks (like time_extract, binning, extraction, etc.) later.\\n- Each step do data preprocessing to train, must do same for test separately at the same time.\\n\\n\\n# Capabilities\\n- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class.\\n- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\\n\\n# Available Tools (can be empty):\\nEach Class tool is described in JSON format. When you call a tool, import the tool first.\\n{}\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\"}]": { + "code": "from sklearn.datasets import load_iris\niris_data = load_iris()\nX, y = iris_data.data, iris_data.target" }, - "[{\"role\": \"system\", \"content\": \"You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**\"}, {\"role\": \"user\", \"content\": \"\\n## User Requirement\\nRun data analysis on sklearn Iris dataset, include a plot\\n## Context\\n\\n## Current Plan\\n[\\n {\\n \\\"task_id\\\": \\\"1\\\",\\n \\\"dependent_task_ids\\\": [],\\n \\\"instruction\\\": \\\"Load the sklearn Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"a successful run\\\",\\n \\\"is_success\\\": true,\\n \\\"is_finished\\\": true\\n },\\n {\\n \\\"task_id\\\": \\\"2\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"1\\\"\\n ],\\n \\\"instruction\\\": \\\"Perform exploratory data analysis on the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"eda\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"a successful run\\\",\\n \\\"is_success\\\": true,\\n \\\"is_finished\\\": true\\n },\\n {\\n \\\"task_id\\\": \\\"3\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"2\\\"\\n ],\\n \\\"instruction\\\": \\\"Create a plot visualizing the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n }\\n]\\n## Current Task\\n{\\\"task_id\\\":\\\"3\\\",\\\"dependent_task_ids\\\":[\\\"2\\\"],\\\"instruction\\\":\\\"Create a plot visualizing the Iris dataset.\\\",\\\"task_type\\\":\\\"other\\\",\\\"code\\\":\\\"\\\",\\\"result\\\":\\\"\\\",\\\"is_success\\\":false,\\\"is_finished\\\":false}\\n\"}, {\"role\": \"user\", \"content\": \"\\n# Instruction\\nWrite complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc.\\nSpecifically, \\n\\n# Capabilities\\n- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class.\\n- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\\n\\n# Available Tools (can be empty):\\nEach Class tool is described in JSON format. When you call a tool, import the tool first.\\n{}\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\"}]": { - "code": "from sklearn import datasets\nimport matplotlib.pyplot as plt\nimport pandas as pd\n\n# Load Iris dataset\niris = datasets.load_iris()\niris_df = pd.DataFrame(data=iris.data, columns=iris.feature_names)\niris_df['target'] = iris.target\niris_df['target_name'] = iris_df['target'].apply(lambda x: iris.target_names[x])\n\n# Plotting\nfig, ax = plt.subplots(figsize=(12, 8))\nfor target, target_name in zip(iris.target_names, iris.target_names):\n subset = iris_df[iris_df['target_name'] == target_name]\n ax.scatter(subset[iris.feature_names[0]], subset[iris.feature_names[1]], label=target_name)\n\nax.set_xlabel(iris.feature_names[0])\nax.set_ylabel(iris.feature_names[1])\nax.legend()\nplt.show()" + "[{\"role\": \"system\", \"content\": \"You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**\"}, {\"role\": \"user\", \"content\": \"\\n## User Requirement\\nRun data analysis on sklearn Iris dataset, include a plot\\n## Context\\n\\n## Current Plan\\n[\\n {\\n \\\"task_id\\\": \\\"1\\\",\\n \\\"dependent_task_ids\\\": [],\\n \\\"instruction\\\": \\\"Load the sklearn Iris dataset.\\\",\\n \\\"task_type\\\": \\\"data_preprocess\\\",\\n \\\"code\\\": \\\"from sklearn.datasets import load_iris\\\\niris_data = load_iris()\\\\nX, y = iris_data.data, iris_data.target\\\",\\n \\\"result\\\": \\\"a successful run\\\",\\n \\\"is_success\\\": true,\\n \\\"is_finished\\\": true\\n },\\n {\\n \\\"task_id\\\": \\\"2\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"1\\\"\\n ],\\n \\\"instruction\\\": \\\"Perform exploratory data analysis on the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"eda\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n },\\n {\\n \\\"task_id\\\": \\\"3\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"2\\\"\\n ],\\n \\\"instruction\\\": \\\"Create a plot visualizing the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n }\\n]\\n## Current Task\\n{\\\"task_id\\\":\\\"2\\\",\\\"dependent_task_ids\\\":[\\\"1\\\"],\\\"instruction\\\":\\\"Perform exploratory data analysis on the Iris dataset.\\\",\\\"task_type\\\":\\\"eda\\\",\\\"code\\\":\\\"\\\",\\\"result\\\":\\\"\\\",\\\"is_success\\\":false,\\\"is_finished\\\":false}\\n\"}, {\"role\": \"user\", \"content\": \"\\n# Instruction\\nWrite complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc.\\nSpecifically, \\nThe current task is about exploratory data analysis, please note the following:\\n- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation.\\n- Remember to `import numpy as np` before using Numpy functions.\\n\\n\\n# Capabilities\\n- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class.\\n- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\\n\\n# Available Tools (can be empty):\\nEach Class tool is described in JSON format. When you call a tool, import the tool first.\\n{}\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\"}]": { + "code": "import numpy as np\nimport pandas as pd\n\n# Convert the sklearn dataset to a pandas DataFrame for easier manipulation\nfeature_names = iris_data.feature_names\niris_df = pd.DataFrame(X, columns=feature_names)\n\n# Add target column to the DataFrame\niris_df['species'] = pd.Categorical.from_codes(iris_data.target, iris_data.target_names)\n\n# Display basic information about the dataset\niris_info = iris_df.info()\n\n# Display basic statistics about the dataset\niris_description = iris_df.describe()\n\n# Check for missing values\nmissing_values = iris_df.isnull().sum()\n\n# Distinguish column types\nnumerical_cols = iris_df.select_dtypes(include=[np.number]).columns.tolist()\ncategorical_cols = iris_df.select_dtypes(include=['category']).columns.tolist()\n\n# Display the first few rows of the DataFrame\nhead = iris_df.head()\n\n# Output the results\n(iris_info, iris_description, missing_values, numerical_cols, categorical_cols, head)" }, - "[{\"role\": \"user\", \"content\": \"\\n# Background\\nAs a data scientist, you need to help user to achieve their goal [This is a titanic passenger survival dataset, your goal is to predict passenger survival outcome. The target column is Survived. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report accuracy on the eval data. Train data path: 'tests/data/ml_datasets/titanic/split_train.csv', eval data path: 'tests/data/ml_datasets/titanic/split_eval.csv'.] step-by-step in an continuous Jupyter notebook.\\n\\n## Done Tasks\\n```python\\n\\n```end\\n\\n## Current Task\\nPerform exploratory data analysis on the train dataset to understand the features and target variable.\\n\\n# Latest Data Info\\nLatest data info after previous tasks:\\n\\n\\n# Task\\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Done Tasks', such as repeated import of packages, reading data, etc.\\nSpecifically, \\n\\n# Output Example:\\nwhen current task is \\\"train a lightgbm model on training data\\\", the code can be like:\\n```python\\n# Step 1: check data type and convert to numeric\\nobj_cols = train.select_dtypes(include='object').columns.tolist()\\n\\nfor col in obj_cols:\\n encoder = LabelEncoder()\\n train[col] = encoder.fit_transform(train[col].unique().tolist() + ['unknown'])\\n test[col] = test[col].apply(lambda x: x if x in encoder.classes_ else 'unknown')\\n test[col] = encoder.transform(test[col])\\n\\n# Step 2: train lightgbm model\\nmodel = LGBMClassifier()\\nmodel.fit(train, y_train)\\n```end\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n\"}]": { - "code": "# Perform exploratory data analysis on the train dataset\ndf_train = pd.read_csv('tests/data/ml_datasets/titanic/split_train.csv')\n\n# Display the first few rows of the dataset\ndisplay(df_train.head())\n\n# Summary statistics for numerical features\ndisplay(df_train.describe())\n\n# Summary information about the dataset including the data types and number of non-null values\ndisplay(df_train.info())\n\n# Distribution of the target variable 'Survived'\nsurvival_counts = df_train['Survived'].value_counts()\nprint(\"Survival counts:\\n\", survival_counts)\n\n# Visualizations\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\n# Distribution of the target variable\nsns.countplot(x='Survived', data=df_train)\nplt.title('Distribution of Survival')\nplt.show()\n\n# Correlation matrix heatmap to understand the relationship between features\nplt.figure(figsize=(10, 8))\nsns.heatmap(df_train.corr(), annot=True, fmt='.2f')\nplt.title('Correlation Matrix')\nplt.show()\n\n# Pairplot to visualize the pairwise relationships between features\nsns.pairplot(df_train, hue='Survived')\nplt.title('Pairplot of Features')\nplt.show()" + "[{\"role\": \"system\", \"content\": \"You are Code Interpreter, a world-class programmer that can complete any goal by executing code. Strictly follow the plan and generate code step by step. Each step of the code will be executed on the user's machine, and the user will provide the code execution results to you.**Notice: The code for the next step depends on the code for the previous step. Must reuse variables in the lastest other code directly, dont creat it again, it is very import for you. Use !pip install in a standalone block to install missing packages.Usually the libraries you need are already installed.Dont check if packages already imported.**\"}, {\"role\": \"user\", \"content\": \"\\n## User Requirement\\nRun data analysis on sklearn Iris dataset, include a plot\\n## Context\\n\\n## Current Plan\\n[\\n {\\n \\\"task_id\\\": \\\"1\\\",\\n \\\"dependent_task_ids\\\": [],\\n \\\"instruction\\\": \\\"Load the sklearn Iris dataset.\\\",\\n \\\"task_type\\\": \\\"data_preprocess\\\",\\n \\\"code\\\": \\\"from sklearn.datasets import load_iris\\\\niris_data = load_iris()\\\\nX, y = iris_data.data, iris_data.target\\\",\\n \\\"result\\\": \\\"a successful run\\\",\\n \\\"is_success\\\": true,\\n \\\"is_finished\\\": true\\n },\\n {\\n \\\"task_id\\\": \\\"2\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"1\\\"\\n ],\\n \\\"instruction\\\": \\\"Perform exploratory data analysis on the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"eda\\\",\\n \\\"code\\\": \\\"import numpy as np\\\\nimport pandas as pd\\\\n\\\\n# Convert the sklearn dataset to a pandas DataFrame for easier manipulation\\\\nfeature_names = iris_data.feature_names\\\\niris_df = pd.DataFrame(X, columns=feature_names)\\\\n\\\\n# Add target column to the DataFrame\\\\niris_df['species'] = pd.Categorical.from_codes(iris_data.target, iris_data.target_names)\\\\n\\\\n# Display basic information about the dataset\\\\niris_info = iris_df.info()\\\\n\\\\n# Display basic statistics about the dataset\\\\niris_description = iris_df.describe()\\\\n\\\\n# Check for missing values\\\\nmissing_values = iris_df.isnull().sum()\\\\n\\\\n# Distinguish column types\\\\nnumerical_cols = iris_df.select_dtypes(include=[np.number]).columns.tolist()\\\\ncategorical_cols = iris_df.select_dtypes(include=['category']).columns.tolist()\\\\n\\\\n# Display the first few rows of the DataFrame\\\\nhead = iris_df.head()\\\\n\\\\n# Output the results\\\\n(iris_info, iris_description, missing_values, numerical_cols, categorical_cols, head)\\\",\\n \\\"result\\\": \\\"a successful run\\\",\\n \\\"is_success\\\": true,\\n \\\"is_finished\\\": true\\n },\\n {\\n \\\"task_id\\\": \\\"3\\\",\\n \\\"dependent_task_ids\\\": [\\n \\\"2\\\"\\n ],\\n \\\"instruction\\\": \\\"Create a plot visualizing the Iris dataset.\\\",\\n \\\"task_type\\\": \\\"other\\\",\\n \\\"code\\\": \\\"\\\",\\n \\\"result\\\": \\\"\\\",\\n \\\"is_success\\\": false,\\n \\\"is_finished\\\": false\\n }\\n]\\n## Current Task\\n{\\\"task_id\\\":\\\"3\\\",\\\"dependent_task_ids\\\":[\\\"2\\\"],\\\"instruction\\\":\\\"Create a plot visualizing the Iris dataset.\\\",\\\"task_type\\\":\\\"other\\\",\\\"code\\\":\\\"\\\",\\\"result\\\":\\\"\\\",\\\"is_success\\\":false,\\\"is_finished\\\":false}\\n\"}, {\"role\": \"user\", \"content\": \"\\n# Instruction\\nWrite complete code for 'Current Task'. And avoid duplicating code from finished tasks, such as repeated import of packages, reading data, etc.\\nSpecifically, \\n\\n# Capabilities\\n- You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python Class.\\n- You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\\n\\n# Available Tools (can be empty):\\nEach Class tool is described in JSON format. When you call a tool, import the tool first.\\n{}\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\"}]": { + "code": "import matplotlib.pyplot as plt\nimport seaborn as sns\n\n# Set the style of seaborn\nsns.set(style='whitegrid')\n\n# Create a pairplot to visualize the relationships between the features\npairplot = sns.pairplot(iris_df, hue='species')\nplt.show()" + }, + "[{\"role\": \"user\", \"content\": \"\\n# Background\\nAs a data scientist, you need to help user to achieve their goal [This is a titanic passenger survival dataset, your goal is to predict passenger survival outcome. The target column is Survived. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report accuracy on the eval data. Train data path: 'tests/data/ml_datasets/titanic/split_train.csv', eval data path: 'tests/data/ml_datasets/titanic/split_eval.csv'.] step-by-step in an continuous Jupyter notebook.\\n\\n## Done Tasks\\n```python\\n\\n```end\\n\\n## Current Task\\nPerform exploratory data analysis on the train dataset to understand the features and target variable.\\n\\n# Latest Data Info\\nLatest data info after previous tasks:\\n\\n\\n# Task\\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Done Tasks', such as repeated import of packages, reading data, etc.\\nSpecifically, \\nThe current task is about exploratory data analysis, please note the following:\\n- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation.\\n- Remember to `import numpy as np` before using Numpy functions.\\n\\n\\n# Output Example:\\nwhen current task is \\\"train a lightgbm model on training data\\\", the code can be like:\\n```python\\n# Step 1: check data type and convert to numeric\\nobj_cols = train.select_dtypes(include='object').columns.tolist()\\n\\nfor col in obj_cols:\\n encoder = LabelEncoder()\\n train[col] = encoder.fit_transform(train[col].unique().tolist() + ['unknown'])\\n test[col] = test[col].apply(lambda x: x if x in encoder.classes_ else 'unknown')\\n test[col] = encoder.transform(test[col])\\n\\n# Step 2: train lightgbm model\\nmodel = LGBMClassifier()\\nmodel.fit(train, y_train)\\n```end\\n\\n# Constraints:\\n- Ensure the output new code is executable in the same Jupyter notebook with previous tasks code have been executed.\\n\"}]": { + "code": "# Perform exploratory data analysis on the train dataset\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\n\n# Read the train dataset\ntrain_data = pd.read_csv('tests/data/ml_datasets/titanic/split_train.csv')\n\n# Display the first few rows of the dataset\ndisplay(train_data.head())\n\n# Summary statistics for numerical features\nprint(train_data.describe())\n\n# Summary statistics for categorical features\nprint(train_data.describe(include=['O']))\n\n# Check for missing values\nprint(train_data.isnull().sum())\n\n# Distribution of the target variable\nsns.countplot(x='Survived', data=train_data)\nplt.title('Distribution of Survival on the Titanic')\nplt.show()\n\n# Correlation matrix for numerical features\nnumerical_features = train_data.select_dtypes(include=[np.number])\ncorrelation_matrix = numerical_features.corr()\nplt.figure(figsize=(10, 8))\nsns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', center=0)\nplt.title('Correlation Matrix for Numerical Features')\nplt.show()\n\n# Pairplot for selected features\nselected_features = ['Survived', 'Pclass', 'Age', 'SibSp', 'Parch', 'Fare']\nsns.pairplot(train_data[selected_features], hue='Survived')\nplt.show()\n\n# Boxplot for categorical features vs Survived\nfor column in train_data.select_dtypes(include=['O']).columns:\n if column != 'Survived':\n plt.figure(figsize=(10, 5))\n sns.boxplot(x='Survived', y=column, data=train_data)\n plt.title(f'Survived vs {column}')\n plt.show()\n" }, "[{\"role\": \"system\", \"content\": \"You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation \"}, {\"role\": \"user\", \"content\": \"\\nHere is an example for you.\\n\\nExample 1:\\n[previous impl]:\\n```python\\ndef add(a: int, b: int) -> int:\\n \\\"\\\"\\\"\\n Given integers a and b, return the total value of a and b.\\n \\\"\\\"\\\"\\n return a - b\\n```\\n\\n[runtime Error]:\\nTested passed:\\n\\nTests failed:\\nassert add(1, 2) == 3 # output: -1\\nassert add(1, 2) == 4 # output: -1\\n\\n[reflection on previous impl]:\\nThe implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input.\\n\\n[improved impl]:\\n```python\\ndef add(a: int, b: int) -> int:\\n \\\"\\\"\\\"\\n Given integers a and b, return the total value of a and b.\\n \\\"\\\"\\\"\\n return a + b\\n```\\n\\n[context]\\nSolve the problem in Python:\\ndef sort_array(arr):\\n \\\"\\\"\\\"\\n In this Kata, you have to sort an array of non-negative integers according to\\n number of ones in their binary representation in ascending order.\\n For similar number of ones, sort based on decimal value.\\n\\n It must be implemented like this:\\n >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\\n >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\\n >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\\n \\\"\\\"\\\"\\n\\n\\n[previous impl]\\n\\ndef sort_array(arr):\\n # Helper function to count the number of ones in the binary representation\\n def count_ones(n):\\n return bin(n).count('1')\\n \\n # Sort the array using a custom key function\\n # The key function returns a tuple (number of ones, value) for each element\\n # This ensures that if two elements have the same number of ones, they are sorted by their value\\n sorted_arr = sorted(arr, key=lambda x: (count_ones(x), x))\\n \\n return sorted_arr\\n```\\n\\n[runtime Error]\\n[user: Tested passed:\\n\\nTests failed:\\nassert sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5] # output: [1, 2, 4, 3, 5]\\n]\\n\\nAnalysis the error step by step, provide me improve method and code. Remember to follow [context] requirement. Don't forget write code for steps behind the error step.\\n[reflection on previous impl]:\\nxxx\\n\"}]": { "reflection": "The implementation failed the test case where the input array is [1, 5, 2, 3, 4]. The issue arises because the code does not handle the sorting of elements with the same number of ones in their binary representation correctly. According to the context, for similar number of ones, the elements should be sorted based on their decimal value in ascending order. However, the output [1, 2, 4, 3, 5] shows that 3 and 4 are not in the correct order, indicating that the sorting by decimal value is not functioning as intended. To fix this issue, we should ensure that the sorting is stable, so that when two elements have the same number of ones, they maintain their relative order if their decimal values are already in ascending order.", "improved_impl": "def sort_array(arr):\n # Helper function to count the number of ones in the binary representation\n def count_ones(n):\n return bin(n).count('1')\n \n # Sort the array using a custom key function\n # The key function returns a tuple (number of ones, value) for each element\n # This ensures that if two elements have the same number of ones, they are sorted by their value\n # We use a stable sorting algorithm to maintain the relative order of elements with the same number of ones\n sorted_arr = sorted(arr, key=lambda x: (count_ones(x), x), reverse=True)\n sorted_arr = sorted(sorted_arr, key=count_ones)\n \n return sorted_arr\n" }, - "\n## context\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"invoice\": \"False\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- invoice: # if it's a invoice file, return True else False\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"invoice\": \"True\"\n}\n[/CONTENT]" + "\n## context\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"invoice\": \"False\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- invoice: # if it's a invoice file, return True else False\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"invoice\": \"True\"\n}\n[/CONTENT]", + "\n## context\n\n### Legacy Content\n\n## Implementation approach\n\nWe will create a Python-based number guessing game with a simple command-line interface. For the user interface, we will use the built-in 'input' and 'print' functions for interaction. The random library will be used for generating random numbers. We will structure the code to be modular and easily extendable, separating the game logic from the user interface.\n\n## File list\n\n- main.py\n- game.py\n- ui.py\n\n## Data structures and interfaces\n\n\nclassDiagram\n class Game {\n -int secret_number\n -int min_range\n -int max_range\n -list attempts\n +__init__(difficulty: str)\n +start_game()\n +check_guess(guess: int) str\n +get_attempts() int\n +get_history() list\n }\n class UI {\n +start()\n +display_message(message: str)\n +get_user_input(prompt: str) str\n +show_attempts(attempts: int)\n +show_history(history: list)\n +select_difficulty() str\n }\n class Main {\n +main()\n }\n Main --> UI\n UI --> Game\n\n\n## Program call flow\n\n\nsequenceDiagram\n participant M as Main\n participant UI as UI\n participant G as Game\n M->>UI: start()\n UI->>UI: select_difficulty()\n UI-->>G: __init__(difficulty)\n G->>G: start_game()\n loop Game Loop\n UI->>UI: get_user_input(\"Enter your guess:\")\n UI-->>G: check_guess(guess)\n G->>UI: display_message(feedback)\n G->>UI: show_attempts(attempts)\n G->>UI: show_history(history)\n end\n G->>UI: display_message(\"Correct! Game over.\")\n UI->>M: main() # Game session ends\n\n\n## Anything UNCLEAR\n\nThe requirement analysis suggests the need for a clean and intuitive interface. Since we are using a command-line interface, we need to ensure that the text-based UI is as user-friendly as possible. Further clarification on whether a graphical user interface (GUI) is expected in the future would be helpful for planning the extendability of the game.\n\n### New Requirements\n{'Language': 'en_us', 'Programming Language': 'Python', 'Refined Requirements': 'Adding graphical interface functionality to enhance the user experience in the number-guessing game.', 'Project Name': 'number_guessing_game', 'Refined Product Goals': ['Ensure a user-friendly interface for the game with the new graphical interface', 'Provide a challenging yet enjoyable game experience with visual enhancements', 'Design the game to be easily extendable for future features, including graphical elements'], 'Refined User Stories': ['As a player, I want to interact with a graphical interface to guess numbers and receive visual feedback on my guesses', 'As a player, I want to easily select the difficulty level through the graphical interface', 'As a player, I want to visually track my previous guesses and the number of attempts in the graphical interface', 'As a player, I want to be congratulated with a visually appealing message when I guess the number correctly'], 'Competitive Analysis': ['Guess The Number Game A: Basic text interface, no difficulty levels', 'Number Master B: Has difficulty levels, but cluttered interface', 'Quick Guess C: Sleek design, but lacks performance tracking', 'NumGuess D: Good performance tracking, but not mobile-friendly', 'GuessIt E: Mobile-friendly, but too many ads', 'Perfect Guess F: Offers hints, but the hints are not very helpful', 'SmartGuesser G: Has a learning mode, but lacks a competitive edge', 'Graphical Guess H: Graphical interface, but poor user experience due to complex design'], 'Competitive Quadrant Chart': 'quadrantChart\\n title \"User Engagement and Game Complexity with Graphical Interface\"\\n x-axis \"Low Complexity\" --> \"High Complexity\"\\n y-axis \"Low Engagement\" --> \"High Engagement\"\\n quadrant-1 \"Too Simple\"\\n quadrant-2 \"Niche Appeal\"\\n quadrant-3 \"Complex & Unengaging\"\\n quadrant-4 \"Sweet Spot\"\\n \"Guess The Number Game A\": [0.2, 0.4]\\n \"Number Master B\": [0.5, 0.3]\\n \"Quick Guess C\": [0.6, 0.7]\\n \"NumGuess D\": [0.4, 0.6]\\n \"GuessIt E\": [0.7, 0.5]\\n \"Perfect Guess F\": [0.6, 0.4]\\n \"SmartGuesser G\": [0.8, 0.6]\\n \"Graphical Guess H\": [0.7, 0.3]\\n \"Our Target Product\": [0.5, 0.9]', 'Refined Requirement Analysis': ['The game should maintain its simplicity while integrating a graphical interface for enhanced engagement.', 'Immediate visual feedback is crucial for user satisfaction in the graphical interface.', 'The interface must be intuitive, allowing for easy navigation and selection of game options.', \"The graphical design should be clean and not detract from the game's core guessing mechanic.\"], 'Refined Requirement Pool': [['P0', 'Implement a graphical user interface (GUI) to replace the command-line interaction'], ['P0', 'Design a user interface that displays the game status, results, and feedback clearly with graphical elements'], ['P1', 'Incorporate interactive elements for selecting difficulty levels'], ['P1', \"Visualize the history of the player's guesses and the number of attempts within the game session\"], ['P2', 'Create animations for correct or incorrect guesses to enhance user feedback'], ['P2', 'Ensure the GUI is responsive and compatible with various screen sizes'], ['P2', \"Store and show the history of the player's guesses during a game session\"]], 'UI Design draft': 'The UI will feature a modern and minimalist design with a graphical number input field, a submit button with animations, and a dedicated area for visual feedback. It will include interactive elements to select the difficulty level and a visual display for the number of attempts and history of past guesses.', 'Anything UNCLEAR': ''}\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Refined Implementation Approach\": \"We will refine ...\",\n \"Refined File list\": [\n \"main.py\",\n \"game.py\",\n \"new_feature.py\"\n ],\n \"Refined Data structures and interfaces\": \"\\nclassDiagram\\n class Main {\\n -SearchEngine search_engine\\n +main() str\\n }\\n class SearchEngine {\\n -Index index\\n -Ranking ranking\\n -Summary summary\\n +search(query: str) str\\n }\\n class Index {\\n -KnowledgeBase knowledge_base\\n +create_index(data: dict)\\n +query_index(query: str) list\\n }\\n class Ranking {\\n +rank_results(results: list) list\\n }\\n class Summary {\\n +summarize_results(results: list) str\\n }\\n class KnowledgeBase {\\n +update(data: dict)\\n +fetch_data(query: str) dict\\n }\\n Main --> SearchEngine\\n SearchEngine --> Index\\n SearchEngine --> Ranking\\n SearchEngine --> Summary\\n Index --> KnowledgeBase\\n\",\n \"Refined Program call flow\": \"\\nsequenceDiagram\\n participant M as Main\\n participant SE as SearchEngine\\n participant I as Index\\n participant R as Ranking\\n participant S as Summary\\n participant KB as KnowledgeBase\\n M->>SE: search(query)\\n SE->>I: query_index(query)\\n I->>KB: fetch_data(query)\\n KB-->>I: return data\\n I-->>SE: return results\\n SE->>R: rank_results(results)\\n R-->>SE: return ranked_results\\n SE->>S: summarize_results(ranked_results)\\n S-->>SE: return summary\\n SE-->>M: return summary\\n\",\n \"Anything UNCLEAR\": \"Clarification needed on third-party API integration, ...\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Refined Implementation Approach: # Update and extend the original implementation approach to reflect the evolving challenges and requirements due to incremental development. Outline the steps involved in the implementation process with the detailed strategies.\n- Refined File list: typing.List[str] # Update and expand the original file list including only relative paths. Up to 2 files can be added.Ensure that the refined file list reflects the evolving structure of the project.\n- Refined Data structures and interfaces: # Update and extend the existing mermaid classDiagram code syntax to incorporate new classes, methods (including __init__), and functions with precise type annotations. Delineate additional relationships between classes, ensuring clarity and adherence to PEP8 standards.Retain content that is not related to incremental development but important for consistency and clarity.\n- Refined Program call flow: # Extend the existing sequenceDiagram code syntax with detailed information, accurately covering theCRUD and initialization of each object. Ensure correct syntax usage and reflect the incremental changes introducedin the classes and API defined above. Retain content that is not related to incremental development but important for consistency and clarity.\n- Anything UNCLEAR: # Mention unclear project aspects, then try to clarify it.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Refined Implementation Approach\": \"To accommodate the new graphical interface requirements, we will integrate the Tkinter library for Python to develop the GUI components. The implementation will involve designing the layout, creating interactive widgets for user input, and displaying visual feedback. We will also implement event-driven programming to handle user actions. The game logic will be encapsulated within the Game class, and the UI class will be responsible for rendering the game state graphically.\",\n \"Refined File list\": [\n \"main.py\",\n \"game.py\",\n \"ui.py\",\n \"gui.py\"\n ],\n \"Refined Data structures and interfaces\": \"\\nclassDiagram\\n class Game {\\n -int secret_number\\n -int min_range\\n -int max_range\\n -list attempts\\n +__init__(difficulty: str)\\n +start_game()\\n +check_guess(guess: int) str\\n +get_attempts() int\\n +get_history() list\\n }\\n class UI {\\n +start()\\n +display_message(message: str)\\n +get_user_input(prompt: str) str\\n +show_attempts(attempts: int)\\n +show_history(history: list)\\n +select_difficulty() str\\n }\\n class GUI {\\n +__init__(game: Game)\\n +render_main_window()\\n +update_feedback(message: str)\\n +update_attempts(attempts: int)\\n +update_history(history: list)\\n +get_difficulty_selection() str\\n +get_guess_from_user() int\\n }\\n class Main {\\n +main()\\n }\\n Main --> UI\\n UI --> Game\\n UI --> GUI\\n GUI --> Game\\n\",\n \"Refined Program call flow\": \"\\nsequenceDiagram\\n participant M as Main\\n participant UI as UI\\n participant G as Game\\n participant GUI as GUI\\n M->>UI: start()\\n UI->>GUI: render_main_window()\\n GUI->>GUI: get_difficulty_selection()\\n GUI-->>G: __init__(difficulty)\\n G->>G: start_game()\\n loop Game Loop\\n GUI->>GUI: get_guess_from_user()\\n GUI-->>G: check_guess(guess)\\n G->>GUI: update_feedback(feedback)\\n G->>GUI: update_attempts(attempts)\\n G->>GUI: update_history(history)\\n end\\n G->>GUI: update_feedback(\\\"Correct! Game over.\\\")\\n GUI->>M: main() # Game session ends\\n\",\n \"Anything UNCLEAR\": \"Clarification needed on whether the GUI should support touch input for devices with touch screens, and if so, what gestures need to be supported.\"\n}\n[/CONTENT]", + "\n## context\n\n### Legacy Content\n\n## Required Python packages\n\n- random==2.2.1\n\n## Required Other language third-party packages\n\n- No third-party dependencies required\n\n## Logic Analysis\n\n- ['game.py', 'Contains Game class with methods __init__, start_game, check_guess, get_attempts, get_history and uses random library for generating secret_number']\n- ['ui.py', 'Contains UI class with methods start, display_message, get_user_input, show_attempts, show_history, select_difficulty and interacts with Game class']\n- ['main.py', 'Contains Main class with method main that initializes UI class and starts the game loop']\n\n## Task list\n\n- game.py\n- ui.py\n- main.py\n\n## Full API spec\n\n\n\n## Shared Knowledge\n\n`game.py` contains the core game logic and is used by `ui.py` to interact with the user. `main.py` serves as the entry point to start the game.\n\n## Anything UNCLEAR\n\nThe requirement analysis suggests the need for a clean and intuitive interface. Since we are using a command-line interface, we need to ensure that the text-based UI is as user-friendly as possible. Further clarification on whether a graphical user interface (GUI) is expected in the future would be helpful for planning the extendability of the game.\n\n### New Requirements\n{'Refined Implementation Approach': 'To accommodate the new graphical user interface (GUI) requirements, we will leverage the Tkinter library, which is included with Python and supports the creation of a user-friendly GUI. The game logic will remain in Python, with Tkinter handling the rendering of the interface. We will ensure that the GUI is responsive and provides immediate visual feedback. The main game loop will be event-driven, responding to user inputs such as button clicks and difficulty selection.', 'Refined File list': ['main.py', 'game.py', 'ui.py', 'gui.py'], 'Refined Data structures and interfaces': '\\nclassDiagram\\n class Game {\\n -int secret_number\\n -int min_range\\n -int max_range\\n -list attempts\\n +__init__(difficulty: str)\\n +start_game()\\n +check_guess(guess: int) str\\n +get_attempts() int\\n +get_history() list\\n }\\n class UI {\\n +start()\\n +display_message(message: str)\\n +get_user_input(prompt: str) str\\n +show_attempts(attempts: int)\\n +show_history(history: list)\\n +select_difficulty() str\\n }\\n class GUI {\\n +__init__()\\n +setup_window()\\n +bind_events()\\n +update_feedback(message: str)\\n +update_attempts(attempts: int)\\n +update_history(history: list)\\n +show_difficulty_selector()\\n +animate_guess_result(correct: bool)\\n }\\n class Main {\\n +main()\\n }\\n Main --> UI\\n UI --> Game\\n UI --> GUI\\n GUI --> Game\\n', 'Refined Program call flow': '\\nsequenceDiagram\\n participant M as Main\\n participant UI as UI\\n participant G as Game\\n participant GU as GUI\\n M->>UI: start()\\n UI->>GU: setup_window()\\n GU->>GU: bind_events()\\n GU->>UI: select_difficulty()\\n UI-->>G: __init__(difficulty)\\n G->>G: start_game()\\n loop Game Loop\\n GU->>GU: show_difficulty_selector()\\n GU->>UI: get_user_input(\"Enter your guess:\")\\n UI-->>G: check_guess(guess)\\n G->>GU: update_feedback(feedback)\\n G->>GU: update_attempts(attempts)\\n G->>GU: update_history(history)\\n GU->>GU: animate_guess_result(correct)\\n end\\n G->>GU: update_feedback(\"Correct! Game over.\")\\n GU->>M: main() # Game session ends\\n', 'Anything UNCLEAR': ''}\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Required Python packages\": [\n \"flask==1.1.2\",\n \"bcrypt==3.2.0\"\n ],\n \"Required Other language third-party packages\": [\n \"No third-party dependencies required\"\n ],\n \"Refined Logic Analysis\": [\n [\n \"game.py\",\n \"Contains Game class and ... functions\"\n ],\n [\n \"main.py\",\n \"Contains main function, from game import Game\"\n ],\n [\n \"new_feature.py\",\n \"Introduces NewFeature class and related functions\"\n ],\n [\n \"utils.py\",\n \"Modifies existing utility functions to support incremental changes\"\n ]\n ],\n \"Refined Task list\": [\n \"new_feature.py\",\n \"utils\",\n \"game.py\",\n \"main.py\"\n ],\n \"Full API spec\": \"openapi: 3.0.0 ...\",\n \"Refined Shared Knowledge\": \"`new_module.py` enhances shared utility functions for improved code reusability and collaboration.\",\n \"Anything UNCLEAR\": \"Clarification needed on how to start and initialize third-party libraries.\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Required Python packages: typing.List[str] # Provide required Python packages in requirements.txt format.\n- Required Other language third-party packages: typing.List[str] # List down the required packages for languages other than Python.\n- Refined Logic Analysis: typing.List[typing.List[str]] # Review and refine the logic analysis by merging the Legacy Content and Incremental Content. Provide a comprehensive list of files with classes/methods/functions to be implemented or modified incrementally. Include dependency analysis, consider potential impacts on existing code, and document necessary imports.\n- Refined Task list: typing.List[str] # Review and refine the combined task list after the merger of Legacy Content and Incremental Content, and consistent with Refined File List. Ensure that tasks are organized in a logical and prioritized order, considering dependencies for a streamlined and efficient development process. \n- Full API spec: # Describe all APIs using OpenAPI 3.0 spec that may be used by both frontend and backend. If front-end and back-end communication is not required, leave it blank.\n- Refined Shared Knowledge: # Update and expand shared knowledge to reflect any new elements introduced. This includes common utility functions, configuration variables for team collaboration. Retain content that is not related to incremental development but important for consistency and clarity.\n- Anything UNCLEAR: # Mention any unclear aspects in the project management context and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Required Python packages\": [\n \"random==2.2.1\",\n \"tkinter==8.6\"\n ],\n \"Required Other language third-party packages\": [\n \"No third-party dependencies required\"\n ],\n \"Refined Logic Analysis\": [\n [\n \"game.py\",\n \"Contains Game class with methods __init__, start_game, check_guess, get_attempts, get_history and uses random library for generating secret_number\"\n ],\n [\n \"ui.py\",\n \"Contains UI class with methods start, display_message, get_user_input, show_attempts, show_history, select_difficulty and interacts with Game class\"\n ],\n [\n \"gui.py\",\n \"Contains GUI class with methods __init__, setup_window, bind_events, update_feedback, update_attempts, update_history, show_difficulty_selector, animate_guess_result and interacts with Game class\"\n ],\n [\n \"main.py\",\n \"Contains Main class with method main that initializes UI class and starts the game loop\"\n ]\n ],\n \"Refined Task list\": [\n \"game.py\",\n \"ui.py\",\n \"gui.py\",\n \"main.py\"\n ],\n \"Full API spec\": \"\",\n \"Refined Shared Knowledge\": \"`game.py` contains the core game logic and is used by `ui.py` to interact with the user. `main.py` serves as the entry point to start the game. `gui.py` will handle the graphical user interface using the Tkinter library, providing a responsive and user-friendly interface for the game.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]", + "\nNOTICE\nRole: You are a professional engineer; The main goal is to complete incremental development by combining legacy code and plan and Incremental Change, ensuring the integration of new features.\n\n# Context\n## User New Requirements\n\n\n## Code Plan And Change\n{\"Development Plan\": [\"Develop the GUI using Tkinter to replace the command-line interface. Start by setting up the main window and event handling. Then, add widgets for displaying the game status, results, and feedback. Implement interactive elements for difficulty selection and visualize the guess history. Finally, create animations for guess feedback and ensure responsiveness across different screen sizes.\", \"Modify the main.py to initialize the GUI and start the event-driven game loop. Ensure that the GUI is the primary interface for user interaction.\"], \"Incremental Change\": [\"```diff\\nclass GUI:\\n- pass\\n+ def __init__(self):\\n+ self.setup_window()\\n+\\n+ def setup_window(self):\\n+ # Initialize the main window using Tkinter\\n+ pass\\n+\\n+ def bind_events(self):\\n+ # Bind button clicks and other events\\n+ pass\\n+\\n+ def update_feedback(self, message: str):\\n+ # Update the feedback label with the given message\\n+ pass\\n+\\n+ def update_attempts(self, attempts: int):\\n+ # Update the attempts label with the number of attempts\\n+ pass\\n+\\n+ def update_history(self, history: list):\\n+ # Update the history view with the list of past guesses\\n+ pass\\n+\\n+ def show_difficulty_selector(self):\\n+ # Show buttons or a dropdown for difficulty selection\\n+ pass\\n+\\n+ def animate_guess_result(self, correct: bool):\\n+ # Trigger an animation for correct or incorrect guesses\\n+ pass\\n```\", \"```diff\\nclass Main:\\n def main(self):\\n- user_interface = UI()\\n- user_interface.start()\\n+ graphical_user_interface = GUI()\\n+ graphical_user_interface.setup_window()\\n+ graphical_user_interface.bind_events()\\n+ # Start the Tkinter main loop\\n+ pass\\n\\n if __name__ == \\\"__main__\\\":\\n main_instance = Main()\\n main_instance.main()\\n```\\n\\n3. Plan for ui.py: Refactor ui.py to work with the new GUI class. Remove command-line interactions and delegate display and input tasks to the GUI.\\n```python\\nclass UI:\\n- def display_message(self, message: str):\\n- print(message)\\n+\\n+ def display_message(self, message: str):\\n+ # This method will now pass the message to the GUI to display\\n+ pass\\n\\n- def get_user_input(self, prompt: str) -> str:\\n- return input(prompt)\\n+\\n+ def get_user_input(self, prompt: str) -> str:\\n+ # This method will now trigger the GUI to get user input\\n+ pass\\n\\n- def show_attempts(self, attempts: int):\\n- print(f\\\"Number of attempts: {attempts}\\\")\\n+\\n+ def show_attempts(self, attempts: int):\\n+ # This method will now update the GUI with the number of attempts\\n+ pass\\n\\n- def show_history(self, history: list):\\n- print(\\\"Guess history:\\\")\\n- for guess in history:\\n- print(guess)\\n+\\n+ def show_history(self, history: list):\\n+ # This method will now update the GUI with the guess history\\n+ pass\\n```\\n\\n4. Plan for game.py: Ensure game.py remains mostly unchanged as it contains the core game logic. However, make minor adjustments if necessary to integrate with the new GUI.\\n```python\\nclass Game:\\n # No changes required for now\\n```\\n\"]}\n\n## Design\n{\"Refined Implementation Approach\": \"To accommodate the new graphical user interface (GUI) requirements, we will leverage the Tkinter library, which is included with Python and supports the creation of a user-friendly GUI. The game logic will remain in Python, with Tkinter handling the rendering of the interface. We will ensure that the GUI is responsive and provides immediate visual feedback. The main game loop will be event-driven, responding to user inputs such as button clicks and difficulty selection.\", \"Refined File list\": [\"main.py\", \"game.py\", \"ui.py\", \"gui.py\"], \"Refined Data structures and interfaces\": \"\\nclassDiagram\\n class Game {\\n -int secret_number\\n -int min_range\\n -int max_range\\n -list attempts\\n +__init__(difficulty: str)\\n +start_game()\\n +check_guess(guess: int) str\\n +get_attempts() int\\n +get_history() list\\n }\\n class UI {\\n +start()\\n +display_message(message: str)\\n +get_user_input(prompt: str) str\\n +show_attempts(attempts: int)\\n +show_history(history: list)\\n +select_difficulty() str\\n }\\n class GUI {\\n +__init__()\\n +setup_window()\\n +bind_events()\\n +update_feedback(message: str)\\n +update_attempts(attempts: int)\\n +update_history(history: list)\\n +show_difficulty_selector()\\n +animate_guess_result(correct: bool)\\n }\\n class Main {\\n +main()\\n }\\n Main --> UI\\n UI --> Game\\n UI --> GUI\\n GUI --> Game\\n\", \"Refined Program call flow\": \"\\nsequenceDiagram\\n participant M as Main\\n participant UI as UI\\n participant G as Game\\n participant GU as GUI\\n M->>UI: start()\\n UI->>GU: setup_window()\\n GU->>GU: bind_events()\\n GU->>UI: select_difficulty()\\n UI-->>G: __init__(difficulty)\\n G->>G: start_game()\\n loop Game Loop\\n GU->>GU: show_difficulty_selector()\\n GU->>UI: get_user_input(\\\"Enter your guess:\\\")\\n UI-->>G: check_guess(guess)\\n G->>GU: update_feedback(feedback)\\n G->>GU: update_attempts(attempts)\\n G->>GU: update_history(history)\\n GU->>GU: animate_guess_result(correct)\\n end\\n G->>GU: update_feedback(\\\"Correct! Game over.\\\")\\n GU->>M: main() # Game session ends\\n\", \"Anything UNCLEAR\": \"\"}\n\n## Task\n{\"Required Python packages\": [\"random==2.2.1\", \"Tkinter==8.6\"], \"Required Other language third-party packages\": [\"No third-party dependencies required\"], \"Refined Logic Analysis\": [[\"game.py\", \"Contains Game class with methods __init__, start_game, check_guess, get_attempts, get_history and uses random library for generating secret_number\"], [\"ui.py\", \"Contains UI class with methods start, display_message, get_user_input, show_attempts, show_history, select_difficulty and interacts with Game class\"], [\"gui.py\", \"Contains GUI class with methods __init__, setup_window, bind_events, update_feedback, update_attempts, update_history, show_difficulty_selector, animate_guess_result and interacts with Game class for GUI rendering\"], [\"main.py\", \"Contains Main class with method main that initializes UI class and starts the event-driven game loop\"]], \"Refined Task list\": [\"game.py\", \"ui.py\", \"gui.py\", \"main.py\"], \"Full API spec\": \"\", \"Refined Shared Knowledge\": \"`game.py` contains the core game logic and is used by `ui.py` to interact with the user. `main.py` serves as the entry point to start the game. `gui.py` is introduced to handle the graphical user interface using Tkinter, which will interact with both `game.py` and `ui.py` for a responsive and user-friendly experience.\", \"Anything UNCLEAR\": \"\"}\n\n## Legacy Code\n```Code\n-----Now, game.py to be rewritten\n```game.py\n\nimport random\n\nclass Game:\n def __init__(self, difficulty: str = 'medium'):\n self.min_range, self.max_range = self._set_difficulty(difficulty)\n self.secret_number = random.randint(self.min_range, self.max_range)\n self.attempts = []\n\n def _set_difficulty(self, difficulty: str):\n difficulties = {\n 'easy': (1, 10),\n 'medium': (1, 100),\n 'hard': (1, 1000)\n }\n return difficulties.get(difficulty, (1, 100))\n\n def start_game(self):\n self.secret_number = random.randint(self.min_range, self.max_range)\n self.attempts = []\n\n def check_guess(self, guess: int) -> str:\n self.attempts.append(guess)\n if guess < self.secret_number:\n return \"It's higher.\"\n elif guess > self.secret_number:\n return \"It's lower.\"\n else:\n return \"Correct! Game over.\"\n\n def get_attempts(self) -> int:\n return len(self.attempts)\n\n def get_history(self) -> list:\n return self.attempts```\n=====\n```\n\n## Debug logs\n```text\n\n\n\n```\n\n## Bug Feedback logs\n```text\n\n```\n\n# Format example\n## Code: game.py\n```python\n## game.py\n...\n```\n\n# Instruction: Based on the context, follow \"Format example\", write or rewrite code.\n## Write/Rewrite Code: Only write one file game.py, write or rewrite complete code using triple quotes based on the following attentions and context.\n1. Only One file: do your best to implement THIS ONLY ONE FILE.\n2. COMPLETE CODE: Your code will be part of the entire project, so please implement complete, reliable, reusable code snippets.\n3. Set default value: If there is any setting, ALWAYS SET A DEFAULT VALUE, ALWAYS USE STRONG TYPE AND EXPLICIT VARIABLE. AVOID circular import.\n4. Follow design: YOU MUST FOLLOW \"Data structures and interfaces\". DONT CHANGE ANY DESIGN. Do not use public member functions that do not exist in your design.\n5. Follow Code Plan And Change: If there is any \"Incremental Change\" that is marked by the git diff format with '+' and '-' symbols, or Legacy Code files contain \"game.py to be rewritten\", you must merge it into the code file according to the \"Development Plan\". \n6. CAREFULLY CHECK THAT YOU DONT MISS ANY NECESSARY CLASS/FUNCTION IN THIS FILE.\n7. Before using a external variable/module, make sure you import it first.\n8. Write out EVERY CODE DETAIL, DON'T LEAVE TODO.\n9. Attention: Retain details that are not related to incremental development but are important for maintaining the consistency and clarity of the old code.\n": "```python\n## game.py\n\nimport random\n\nclass Game:\n def __init__(self, difficulty: str = 'medium'):\n self._min_range, self._max_range = self._set_difficulty(difficulty)\n self._secret_number = random.randint(self._min_range, self._max_range)\n self._attempts = []\n\n def _set_difficulty(self, difficulty: str):\n difficulties = {\n 'easy': (1, 10),\n 'medium': (1, 100),\n 'hard': (1, 1000)\n }\n return difficulties.get(difficulty, (1, 100))\n\n def start_game(self):\n self._secret_number = random.randint(self._min_range, self._max_range)\n self._attempts = []\n\n def check_guess(self, guess: int) -> str:\n self._attempts.append(guess)\n if guess < self._secret_number:\n return \"It's higher.\"\n elif guess > self._secret_number:\n return \"It's lower.\"\n else:\n return \"Correct! Game over.\"\n\n def get_attempts(self) -> int:\n return len(self._attempts)\n\n def get_history(self) -> list:\n return self._attempts\n```", + "\n# System\nRole: You are a professional software engineer, and your main task is to review and revise the code. You need to ensure that the code conforms to the google-style standards, is elegantly designed and modularized, easy to read and maintain.\nLanguage: Please use the same language as the user requirement, but the title and code should be still in English. For example, if the user speaks Chinese, the specific text of your answer should also be in Chinese.\nATTENTION: Use '##' to SPLIT SECTIONS, not '#'. Output format carefully referenced \"Format example\".\n\n# Context\n## User New Requirements\nNone\n\n## Code Plan And Change\n\n def add(a, b):\n- return a + \n+ return a + b\n \n\n## System Design\n编写一个从a加b的函数，返回a+b\n\n## Task\n\n\n## Code Files\n\n\n\n## Code to be Reviewed: \n```Code\n\n def add(a, b):\n return a + \n \n```\n\n\n\n# Format example 1\n## Code Review: \n1. No, we should fix the logic of class A due to ...\n2. ...\n3. ...\n4. No, function B is not implemented, ...\n5. ...\n6. ...\n\n## Actions\n1. Fix the `handle_events` method to update the game state only if a move is successful.\n ```python\n def handle_events(self):\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n return False\n if event.type == pygame.KEYDOWN:\n moved = False\n if event.key == pygame.K_UP:\n moved = self.game.move('UP')\n elif event.key == pygame.K_DOWN:\n moved = self.game.move('DOWN')\n elif event.key == pygame.K_LEFT:\n moved = self.game.move('LEFT')\n elif event.key == pygame.K_RIGHT:\n moved = self.game.move('RIGHT')\n if moved:\n # Update the game state only if a move was successful\n self.render()\n return True\n ```\n2. Implement function B\n\n## Code Review Result\nLBTM\n\n# Format example 2\n## Code Review: \n1. Yes.\n2. Yes.\n3. Yes.\n4. Yes.\n5. Yes.\n6. Yes.\n\n## Actions\npass\n\n## Code Review Result\nLGTM\n\n\n\n# Instruction: Based on the actual code situation, follow one of the \"Format example\". Return only 1 file under review.\n\n## Code Review: Ordered List. Based on the \"Code to be Reviewed\", provide key, clear, concise, and specific answer. If any answer is no, explain how to fix it step by step.\n1. Is the code implemented as per the requirements? If not, how to achieve it? Analyse it step by step.\n2. Is the code logic completely correct? If there are errors, please indicate how to correct them.\n3. Does the existing code follow the \"Data structures and interfaces\"?\n4. Are all functions implemented? If there is no implementation, please indicate how to achieve it step by step.\n5. Have all necessary pre-dependencies been imported? If not, indicate which ones need to be imported\n6. Are methods from other files being reused correctly?\n\n## Actions: Ordered List. Things that should be done after CR, such as implementing class A and function B\n\n## Code Review Result: str. If the code doesn't have bugs, we don't need to rewrite it, so answer LGTM and stop. ONLY ANSWER LGTM/LBTM.\nLGTM/LBTM\n\n": "## Code Review:\n1. 是的，代码实现了按照要求从a加b的功能。\n2. 不完全正确，代码逻辑存在错误。在`add`函数中，`return`语句没有完整地返回a和b的和，缺少了变量b。\n3. 是的，现有代码遵循了\"数据结构和接口\"的原则。\n4. 所有函数都已实现，但`add`函数的实现不完整。\n5. 由于这是一个简单的加法函数，不需要导入额外的依赖。\n6. 代码中没有使用其他文件的方法。\n\n## Actions:\n1. 修正`add`函数，确保它可以正确返回a和b的和。\n ```python\n def add(a, b):\n return a + b\n ```\n\n## Code Review Result:\nLBTM", + "\n# System\nRole: You are a professional software engineer, and your main task is to review and revise the code. You need to ensure that the code conforms to the google-style standards, is elegantly designed and modularized, easy to read and maintain.\nLanguage: Please use the same language as the user requirement, but the title and code should be still in English. For example, if the user speaks Chinese, the specific text of your answer should also be in Chinese.\nATTENTION: Use '##' to SPLIT SECTIONS, not '#'. Output format carefully referenced \"Format example\".\n\n# Context\n## User New Requirements\nNone\n\n## Code Plan And Change\n\n def add(a, b):\n- return a + \n+ return a + b\n \n\n## System Design\n编写一个从a加b的函数，返回a+b\n\n## Task\n\n\n## Code Files\n\n\n\n## Code to be Reviewed: \n```Code\n\n def add(a, b):\n return a + \n \n```\n\n## Code Review:\n1. 是的，代码实现了按照要求从a加b的功能。\n2. 不完全正确，代码逻辑存在错误。在`add`函数中，`return`语句没有完整地返回a和b的和，缺少了变量b。\n3. 是的，现有代码遵循了\"数据结构和接口\"的原则。\n4. 所有函数都已实现，但`add`函数的实现不完整。\n5. 由于这是一个简单的加法函数，不需要导入额外的依赖。\n6. 代码中没有使用其他文件的方法。\n\n## Actions:\n1. 修正`add`函数，确保它可以正确返回a和b的和。\n ```python\n def add(a, b):\n return a + b\n ```\n\n## Code Review Result:\nLBTM\n\n# Instruction: rewrite code based on the Code Review and Actions\n## Rewrite Code: CodeBlock. If it still has some bugs, rewrite with triple quotes. Do your utmost to optimize THIS SINGLE FILE. Return all completed codes and prohibit the return of unfinished codes.\n```Code\n## \n...\n```\n": "## 重写代码：代码块\n```python\ndef add(a, b):\n return a + b\n```", + "\n# System\nRole: You are a professional software engineer, and your main task is to review and revise the code. You need to ensure that the code conforms to the google-style standards, is elegantly designed and modularized, easy to read and maintain.\nLanguage: Please use the same language as the user requirement, but the title and code should be still in English. For example, if the user speaks Chinese, the specific text of your answer should also be in Chinese.\nATTENTION: Use '##' to SPLIT SECTIONS, not '#'. Output format carefully referenced \"Format example\".\n\n# Context\n## User New Requirements\nNone\n\n## Code Plan And Change\n\n def add(a, b):\n- return a + \n+ return a + b\n \n\n## System Design\n编写一个从a加b的函数，返回a+b\n\n## Task\n\n\n## Code Files\n\n\n\n## Code to be Reviewed: \n```Code\ndef add(a, b):\n return a + b\n\n```\n\n\n\n# Format example 1\n## Code Review: \n1. No, we should fix the logic of class A due to ...\n2. ...\n3. ...\n4. No, function B is not implemented, ...\n5. ...\n6. ...\n\n## Actions\n1. Fix the `handle_events` method to update the game state only if a move is successful.\n ```python\n def handle_events(self):\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n return False\n if event.type == pygame.KEYDOWN:\n moved = False\n if event.key == pygame.K_UP:\n moved = self.game.move('UP')\n elif event.key == pygame.K_DOWN:\n moved = self.game.move('DOWN')\n elif event.key == pygame.K_LEFT:\n moved = self.game.move('LEFT')\n elif event.key == pygame.K_RIGHT:\n moved = self.game.move('RIGHT')\n if moved:\n # Update the game state only if a move was successful\n self.render()\n return True\n ```\n2. Implement function B\n\n## Code Review Result\nLBTM\n\n# Format example 2\n## Code Review: \n1. Yes.\n2. Yes.\n3. Yes.\n4. Yes.\n5. Yes.\n6. Yes.\n\n## Actions\npass\n\n## Code Review Result\nLGTM\n\n\n\n# Instruction: Based on the actual code situation, follow one of the \"Format example\". Return only 1 file under review.\n\n## Code Review: Ordered List. Based on the \"Code to be Reviewed\", provide key, clear, concise, and specific answer. If any answer is no, explain how to fix it step by step.\n1. Is the code implemented as per the requirements? If not, how to achieve it? Analyse it step by step.\n2. Is the code logic completely correct? If there are errors, please indicate how to correct them.\n3. Does the existing code follow the \"Data structures and interfaces\"?\n4. Are all functions implemented? If there is no implementation, please indicate how to achieve it step by step.\n5. Have all necessary pre-dependencies been imported? If not, indicate which ones need to be imported\n6. Are methods from other files being reused correctly?\n\n## Actions: Ordered List. Things that should be done after CR, such as implementing class A and function B\n\n## Code Review Result: str. If the code doesn't have bugs, we don't need to rewrite it, so answer LGTM and stop. ONLY ANSWER LGTM/LBTM.\nLGTM/LBTM\n\n": "## Code Review: \n1. 是的，代码按照要求实现了从a加b的功能。\n2. 是的，代码逻辑完全正确。\n3. 是的，现有代码遵循了“数据结构和接口”原则。\n4. 是的，所有功能都已实现。\n5. 是的，此代码片段不需要额外的依赖导入，因为它使用的是Python的内置操作。\n6. 是的，此代码片段没有从其他文件重用方法，因此不适用。\n\n## Actions\npass\n\n## Code Review Result\nLGTM", + "\n## context\nPlease fix the bug in the code.\n\n-----\n\n## format example\n[CONTENT]\n{\n \"issue_type\": \"BUG\",\n \"reason\": \"...\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- issue_type: # Answer BUG/REQUIREMENT. If it is a bugfix, answer BUG, otherwise answer Requirement\n- reason: # Explain the reasoning process from question to answer\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"issue_type\": \"BUG\",\n \"reason\": \"The user has requested to fix a bug in the code, but has not provided the code or described the bug. Without this information, it is not possible to identify or fix the bug.\"\n}\n[/CONTENT]", + "\n## context\n\n### Legacy Content\n\n## Language\n\nen_us\n\n## Programming Language\n\nPython\n\n## Original Requirements\n\nMake a simple number guessing game\n\n## Product Goals\n\n- Ensure a user-friendly interface for the game\n- Provide a challenging yet enjoyable game experience\n- Design the game to be easily extendable for future features\n\n## User Stories\n\n- As a player, I want to guess numbers and receive feedback on whether my guess is too high or too low\n- As a player, I want to be able to set the difficulty level by choosing the range of possible numbers\n- As a player, I want to see my previous guesses to strategize my next guess\n- As a player, I want to know how many attempts it took me to guess the number once I get it right\n\n## Competitive Analysis\n\n- Guess The Number Game A: Basic text interface, no difficulty levels\n- Number Master B: Has difficulty levels, but cluttered interface\n- Quick Guess C: Sleek design, but lacks performance tracking\n- NumGuess D: Good performance tracking, but not mobile-friendly\n- GuessIt E: Mobile-friendly, but too many ads\n- Perfect Guess F: Offers hints, but the hints are not very helpful\n- SmartGuesser G: Has a learning mode, but lacks a competitive edge\n\n## Competitive Quadrant Chart\n\nquadrantChart\n title \"User Engagement and Game Complexity\"\n x-axis \"Low Complexity\" --> \"High Complexity\"\n y-axis \"Low Engagement\" --> \"High Engagement\"\n quadrant-1 \"Too Simple\"\n quadrant-2 \"Niche Appeal\"\n quadrant-3 \"Complex & Unengaging\"\n quadrant-4 \"Sweet Spot\"\n \"Guess The Number Game A\": [0.2, 0.4]\n \"Number Master B\": [0.5, 0.3]\n \"Quick Guess C\": [0.6, 0.7]\n \"NumGuess D\": [0.4, 0.6]\n \"GuessIt E\": [0.7, 0.5]\n \"Perfect Guess F\": [0.6, 0.4]\n \"SmartGuesser G\": [0.8, 0.6]\n \"Our Target Product\": [0.5, 0.8]\n\n## Requirement Analysis\n\nThe game should be simple yet engaging, allowing players of different skill levels to enjoy it. It should provide immediate feedback and track the player's performance. The game should also be designed with a clean and intuitive interface, and it should be easy to add new features in the future.\n\n## Requirement Pool\n\n- ['P0', 'Implement the core game logic to randomly select a number and allow the user to guess it']\n- ['P0', 'Design a user interface that displays the game status and results clearly']\n- ['P1', 'Add difficulty levels by varying the range of possible numbers']\n- ['P1', 'Keep track of and display the number of attempts for each game session']\n- ['P2', \"Store and show the history of the player's guesses during a game session\"]\n\n## UI Design draft\n\nThe UI will feature a clean and minimalist design with a number input field, submit button, and messages area to provide feedback. There will be options to select the difficulty level and a display showing the number of attempts and history of past guesses.\n\n## Anything UNCLEAR\n\n### New Requirements\n\nAdding graphical interface functionality to enhance the user experience in the number-guessing game. The existing number-guessing game currently relies on command-line input for numbers. The goal is to introduce a graphical interface to improve the game's usability and visual appeal\n\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"is_relative\": \"YES\",\n \"reason\": \"...\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- is_relative: # Answer YES/NO. If the requirement is related to the old PRD, answer YES, otherwise NO\n- reason: # Explain the reasoning process from question to answer\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"is_relative\": \"YES\",\n \"reason\": \"The new requirement to add a graphical interface functionality is related to the original PRD's goal of ensuring a user-friendly interface for the game. The addition of a graphical interface aligns with the original product goals of providing a challenging yet enjoyable game experience and designing the game to be easily extendable for future features. It specifically addresses the competitive analysis findings by enhancing usability and visual appeal, which were identified as shortcomings in some of the competitive products.\"\n}\n[/CONTENT]", + "\n## context\n\n### Legacy Content\n\n## Language\n\nen_us\n\n## Programming Language\n\nPython\n\n## Original Requirements\n\nMake a simple number guessing game\n\n## Product Goals\n\n- Ensure a user-friendly interface for the game\n- Provide a challenging yet enjoyable game experience\n- Design the game to be easily extendable for future features\n\n## User Stories\n\n- As a player, I want to guess numbers and receive feedback on whether my guess is too high or too low\n- As a player, I want to be able to set the difficulty level by choosing the range of possible numbers\n- As a player, I want to see my previous guesses to strategize my next guess\n- As a player, I want to know how many attempts it took me to guess the number once I get it right\n\n## Competitive Analysis\n\n- Guess The Number Game A: Basic text interface, no difficulty levels\n- Number Master B: Has difficulty levels, but cluttered interface\n- Quick Guess C: Sleek design, but lacks performance tracking\n- NumGuess D: Good performance tracking, but not mobile-friendly\n- GuessIt E: Mobile-friendly, but too many ads\n- Perfect Guess F: Offers hints, but the hints are not very helpful\n- SmartGuesser G: Has a learning mode, but lacks a competitive edge\n\n## Competitive Quadrant Chart\n\nquadrantChart\n title \"User Engagement and Game Complexity\"\n x-axis \"Low Complexity\" --> \"High Complexity\"\n y-axis \"Low Engagement\" --> \"High Engagement\"\n quadrant-1 \"Too Simple\"\n quadrant-2 \"Niche Appeal\"\n quadrant-3 \"Complex & Unengaging\"\n quadrant-4 \"Sweet Spot\"\n \"Guess The Number Game A\": [0.2, 0.4]\n \"Number Master B\": [0.5, 0.3]\n \"Quick Guess C\": [0.6, 0.7]\n \"NumGuess D\": [0.4, 0.6]\n \"GuessIt E\": [0.7, 0.5]\n \"Perfect Guess F\": [0.6, 0.4]\n \"SmartGuesser G\": [0.8, 0.6]\n \"Our Target Product\": [0.5, 0.8]\n\n## Requirement Analysis\n\nThe game should be simple yet engaging, allowing players of different skill levels to enjoy it. It should provide immediate feedback and track the player's performance. The game should also be designed with a clean and intuitive interface, and it should be easy to add new features in the future.\n\n## Requirement Pool\n\n- ['P0', 'Implement the core game logic to randomly select a number and allow the user to guess it']\n- ['P0', 'Design a user interface that displays the game status and results clearly']\n- ['P1', 'Add difficulty levels by varying the range of possible numbers']\n- ['P1', 'Keep track of and display the number of attempts for each game session']\n- ['P2', \"Store and show the history of the player's guesses during a game session\"]\n\n## UI Design draft\n\nThe UI will feature a clean and minimalist design with a number input field, submit button, and messages area to provide feedback. There will be options to select the difficulty level and a display showing the number of attempts and history of past guesses.\n\n## Anything UNCLEAR\n\n### New Requirements\n\nAdding graphical interface functionality to enhance the user experience in the number-guessing game. The existing number-guessing game currently relies on command-line input for numbers. The goal is to introduce a graphical interface to improve the game's usability and visual appeal\n\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Refined Requirements\": \"Create a 2048 game with a new feature that ...\",\n \"Project Name\": \"game_2048\",\n \"Refined Product Goals\": [\n \"Enhance user engagement through new features\",\n \"Optimize performance for scalability\",\n \"Integrate innovative UI enhancements\"\n ],\n \"Refined User Stories\": [\n \"As a player, I want to choose difficulty levels to challenge my skills\",\n \"As a player, I want a visually appealing score display after each game for a better gaming experience\",\n \"As a player, I want a convenient restart button displayed when I lose to quickly start a new game\",\n \"As a player, I want an enhanced and aesthetically pleasing UI to elevate the overall gaming experience\",\n \"As a player, I want the ability to play the game seamlessly on my mobile phone for on-the-go entertainment\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Refined Requirement Analysis\": [\n \"Require add/update/modify ...\"\n ],\n \"Refined Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Refined Requirements: # Place the New user's original requirements here.\n- Project Name: # According to the content of \"Original Requirements,\" name the project using snake case style , like 'game_2048' or 'simple_crm.\n- Refined Product Goals: typing.List[str] # Update and expand the original product goals to reflect the evolving needs due to incremental development. Ensure that the refined goals align with the current project direction and contribute to its success.\n- Refined User Stories: typing.List[str] # Update and expand the original scenario-based user stories to reflect the evolving needs due to incremental development. Ensure that the refined user stories capture incremental features and improvements. \n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Refined Requirement Analysis: typing.List[str] # Review and refine the existing requirement analysis to align with the evolving needs of the project due to incremental development. Ensure the analysis comprehensively covers the new features and enhancements required for the refined project scope.\n- Refined Requirement Pool: typing.List[typing.List[str]] # List down the top 5 to 7 requirements with their priority (P0, P1, P2). Cover both legacy content and incremental content. Retain content unrelated to incremental development\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Refined Requirements\": \"Adding graphical interface functionality to enhance the user experience in the number-guessing game. The existing number-guessing game currently relies on command-line input for numbers. The goal is to introduce a graphical interface to improve the game's usability and visual appeal.\",\n \"Project Name\": \"graphical_number_guesser\",\n \"Refined Product Goals\": [\n \"Introduce a graphical user interface to make the game more accessible and visually appealing\",\n \"Maintain a user-friendly experience while transitioning from a command-line interface to a graphical interface\",\n \"Ensure the game remains challenging and enjoyable with the addition of the new interface\",\n \"Design the graphical interface to be easily extendable for future enhancements\"\n ],\n \"Refined User Stories\": [\n \"As a player, I want to interact with a graphical interface to input my guesses and receive feedback\",\n \"As a player, I want to easily select difficulty levels through the graphical interface\",\n \"As a player, I want to see a visual representation of my previous guesses and the number of attempts\",\n \"As a player, I want to enjoy a visually engaging experience that enhances the overall gameplay\"\n ],\n \"Competitive Analysis\": [\n \"Guess The Number Game A: Basic text interface, no difficulty levels\",\n \"Number Master B: Has difficulty levels, but cluttered interface\",\n \"Quick Guess C: Sleek design, but lacks performance tracking\",\n \"NumGuess D: Good performance tracking, but not mobile-friendly\",\n \"GuessIt E: Mobile-friendly, but too many ads\",\n \"Perfect Guess F: Offers hints, but the hints are not very helpful\",\n \"SmartGuesser G: Has a learning mode, but lacks a competitive edge\",\n \"Graphical Number Guesser: Our new game with a graphical interface and user-friendly design\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"User Engagement and Game Complexity\\\"\\n x-axis \\\"Low Complexity\\\" --> \\\"High Complexity\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"Too Simple\\\"\\n quadrant-2 \\\"Niche Appeal\\\"\\n quadrant-3 \\\"Complex & Unengaging\\\"\\n quadrant-4 \\\"Sweet Spot\\\"\\n \\\"Guess The Number Game A\\\": [0.2, 0.4]\\n \\\"Number Master B\\\": [0.5, 0.3]\\n \\\"Quick Guess C\\\": [0.6, 0.7]\\n \\\"NumGuess D\\\": [0.4, 0.6]\\n \\\"GuessIt E\\\": [0.7, 0.5]\\n \\\"Perfect Guess F\\\": [0.6, 0.4]\\n \\\"SmartGuesser G\\\": [0.8, 0.6]\\n \\\"Graphical Number Guesser\\\": [0.5, 0.8]\",\n \"Refined Requirement Analysis\": [\n \"The game must provide an intuitive graphical interface for user interaction\",\n \"The difficulty level selection should be seamlessly integrated into the graphical interface\",\n \"Performance tracking must be visually represented within the game interface\",\n \"The game should be designed to allow for easy updates and feature additions\"\n ],\n \"Refined Requirement Pool\": [\n [\"P0\", \"Implement a graphical user interface for the game\"],\n [\"P0\", \"Ensure the graphical interface provides feedback on guesses\"],\n [\"P1\", \"Incorporate difficulty level selection into the graphical interface\"],\n [\"P1\", \"Display a visual representation of guess history and attempt count\"],\n [\"P2\", \"Design the interface to be extensible for future game features\"]\n ],\n \"UI Design draft\": \"The graphical interface will feature a main game window with an input field for number guesses, buttons for submitting guesses and selecting difficulty, and panels for displaying guess history, attempt count, and feedback messages.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Iris dataset, include a plot\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\n\n```\n\n### execution result\n\n\n## Current Task\nLoad the sklearn Iris dataset and perform exploratory data analysis\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \nThe current task is about exploratory data analysis, please note the following:\n- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation.\n- Remember to `import numpy as np` before using Numpy functions.\n\n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n": "```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn import datasets\n\n# Load the Iris dataset\niris = datasets.load_iris()\niris_df = pd.DataFrame(data= np.c_[iris['data'], iris['target']],\n columns= iris['feature_names'] + ['target'])\n\n# Perform exploratory data analysis\n# Distinguish column types\nnumerical_cols = iris_df.select_dtypes(include=[np.number]).columns.tolist()\ncategorical_cols = iris_df.select_dtypes(include=[object]).columns.tolist()\n\n# Display basic statistics for numerical columns\nprint(iris_df[numerical_cols].describe())\n\n# Plotting histograms for numerical features\nfig, axs = plt.subplots(2, 2, figsize=(12, 8))\nfor i, col in enumerate(numerical_cols[:-1]): # Exclude the target column for histogram\n ax = axs[i//2, i%2]\n iris_df[col].hist(ax=ax)\n ax.set_title(col)\n ax.set_xlabel('Measurement (cm)')\n ax.set_ylabel('Frequency')\n\nplt.tight_layout()\nplt.show()\n\n# Plotting a scatter matrix for numerical features\npd.plotting.scatter_matrix(iris_df[numerical_cols], figsize=(12, 12), diagonal='kde')\nplt.show()\n\n# Correlation matrix heatmap\nplt.figure(figsize=(8, 6))\nsns.heatmap(iris_df[numerical_cols].corr(), annot=True, fmt=\".2f\")\nplt.show()\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nPreprocess sklearn Wine recognition dataset and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n\n# Tool Info\n\n ## Capabilities\n - You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python class or function.\n - You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc..\n\n ## Available Tools:\n Each tool is described in JSON format. When you call a tool, import the tool from its path first.\n {'FillMissingValue': {'type': 'class', 'description': 'Completing missing values with simple strategies.', 'methods': {'__init__': {'type': 'function', 'description': 'Initialize self. ', 'signature': '(self, features: 'list', strategy: \"Literal['mean', 'median', 'most_frequent', 'constant']\" = 'mean', fill_value=None)', 'parameters': 'Args: features (list): Columns to be processed. strategy (Literal[\"mean\", \"median\", \"most_frequent\", \"constant\"], optional): The imputation strategy, notice 'mean' and 'median' can only be used for numeric features. Defaults to 'mean'. fill_value (int, optional): Fill_value is used to replace all occurrences of missing_values. Defaults to None.'}, 'fit': {'type': 'function', 'description': 'Fit a model to be used in subsequent transform. ', 'signature': \"(self, df: 'pd.DataFrame')\", 'parameters': 'Args: df (pd.DataFrame): The input DataFrame.'}, 'fit_transform': {'type': 'function', 'description': 'Fit and transform the input DataFrame. ', 'signature': \"(self, df: 'pd.DataFrame') -> 'pd.DataFrame'\", 'parameters': 'Args: df (pd.DataFrame): The input DataFrame. Returns: pd.DataFrame: The transformed DataFrame.'}, 'transform': {'type': 'function', 'description': 'Transform the input DataFrame with the fitted model. ', 'signature': \"(self, df: 'pd.DataFrame') -> 'pd.DataFrame'\", 'parameters': 'Args: df (pd.DataFrame): The input DataFrame. Returns: pd.DataFrame: The transformed DataFrame.'}}, 'tool_path': 'metagpt/tools/libs/data_preprocess.py'}\n \n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n": "To achieve the goal of preprocessing the sklearn Wine recognition dataset, training a model, and showing validation accuracy, we will follow these steps:\n\n1. Load the Wine recognition dataset from `sklearn.datasets`.\n2. Preprocess the dataset by handling any missing values using the `FillMissingValue` tool.\n3. Split the dataset into training and validation sets.\n4. Train a classification model using the training set.\n5. Evaluate the model on the validation set and output the accuracy.\n\nLet's start by loading the dataset and checking for any missing values.\n\n```python\nfrom sklearn.datasets import load_wine\nimport pandas as pd\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Load the wine dataset\ndata = load_wine()\ndf = pd.DataFrame(data.data, columns=data.feature_names)\ndf['target'] = data.target\n\n# Check for missing values\nmissing_values = df.isnull().sum()\nprint(\"Missing values in each column:\\n\", missing_values)\n\n# If there are missing values, we will use the FillMissingValue tool to handle them\nif missing_values.sum() > 0:\n from metagpt.tools.libs.data_preprocess import FillMissingValue\n fill_missing = FillMissingValue(features=list(df.columns), strategy='mean')\n df = fill_missing.fit_transform(df)\n\n# Split the dataset into training and validation sets (80% train, 20% validation)\nX_train, X_val, y_train, y_val = train_test_split(df.drop('target', axis=1), df['target'], test_size=0.2, random_state=42)\n\n# Train a RandomForestClassifier\nmodel = RandomForestClassifier(random_state=42)\nmodel.fit(X_train, y_train)\n\n# Predict on the validation set\ny_pred = model.predict(X_val)\n\n# Calculate and print the validation accuracy\naccuracy = accuracy_score(y_val, y_pred)\nprint(f\"Validation accuracy: {accuracy:.2f}\")\n```", + "You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation.#SYSTEM_MSG_END#\n[example]\nHere is an example of debugging with reflection.\n\n[previous impl]:\nassistant:\n```python\ndef add(a: int, b: int) -> int:\n \"\"\"\n Given integers a and b, return the total value of a and b.\n \"\"\"\n return a - b\n```\n\nuser:\nTests failed:\nassert add(1, 2) == 3 # output: -1\nassert add(1, 2) == 4 # output: -1\n\n[reflection on previous impl]:\nThe implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input.\n\n[improved impl]:\ndef add(a: int, b: int) -> int:\n \"\"\"\n Given integers a and b, return the total value of a and b.\n \"\"\"\n return a + b\n\n[/example]\n\n[context]\n[{'role': 'user', 'content': \"\\n# User Requirement\\nread a dataset test.csv and print its head\\n\\n# Plan Status\\n\\n ## Finished Tasks\\n ### code\\n ```python\\n ```\\n\\n ### execution result\\n\\n ## Current Task\\n import pandas and load the dataset from 'test.csv'.\\n\\n ## Task Guidance\\n Write complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\\n Specifically, \\n \\n\\n# Tool Info\\n\\n\\n# Constraints\\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\\n- Always prioritize using pre-defined tools for the same functionality.\\n\\n# Output\\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\\n```python\\nyour code\\n```\\n\"}, {'role': 'assistant', 'content': \"import pandas as pd\\ndata = pd.read_excel('test.csv')\\ndata\"}, {'role': 'user', 'content': '\\n Traceback (most recent call last):\\n File \"\", line 2, in \\n File \"/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py\", line 478, in read_excel\\n io = ExcelFile(io, storage_options=storage_options, engine=engine)\\n File \"/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py\", line 1500, in __init__\\n raise ValueError(\\n ValueError: Excel file format cannot be determined, you must specify an engine manually.\\n '}]\n\n[previous impl]:\n[assistant: import pandas as pd\ndata = pd.read_excel('test.csv')\ndata, user: \n Traceback (most recent call last):\n File \"\", line 2, in \n File \"/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py\", line 478, in read_excel\n io = ExcelFile(io, storage_options=storage_options, engine=engine)\n File \"/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py\", line 1500, in __init__\n raise ValueError(\n ValueError: Excel file format cannot be determined, you must specify an engine manually.\n ]\n\n[instruction]\nAnalyze your previous code and error in [context] step by step, provide me with improved method and code. Remember to follow [context] requirement. Don't forget to write code for steps behind the error step.\nOutput a json following the format:\n```json\n{\n \"reflection\": str = \"Reflection on previous implementation\",\n \"improved_impl\": str = \"Refined code after reflection.\",\n}\n```\n": "```json\n{\n \"reflection\": \"The previous implementation attempted to read a CSV file using the `pd.read_excel` function, which is intended for Excel files, not CSV files. The error message indicates that the file format cannot be determined and an engine must be specified manually. However, the real issue is that the wrong function is being used for a CSV file. The correct function to use for reading CSV files is `pd.read_csv`.\",\n \"improved_impl\": \"import pandas as pd\\ndata = pd.read_csv('test.csv')\\nprint(data.head())\"\n}\n```", + "\n # Context:\n user: Run data analysis on sklearn Iris dataset, include a plot\n # Available Task Types:\n - **eda**: For performing exploratory data analysis\n- **data preprocessing**: For preprocessing dataset in a data analysis or machine learning task ONLY,general data operation doesn't fall into this type\n- **feature engineering**: Only for creating new columns for input data.\n- **model train**: Only for training model.\n- **model evaluate**: Only for evaluating model.\n- **image2webpage**: For converting image into webpage code.\n- **other**: Any tasks not in the defined categories\n- **text2image**: Related to text2image, image2image using stable diffusion model.\n- **web scraping**: For scraping data from web pages.\n- **email login**: For logging to an email.\n # Task:\n Based on the context, write a plan or modify an existing plan of what you should do to achieve the goal. A plan consists of one to 5 tasks.\n If you are modifying an existing plan, carefully follow the instruction, don't make unnecessary changes. Give the whole plan unless instructed to modify only one task of the plan.\n If you encounter errors on the current task, revise and output the current single task only.\n Output a list of jsons following the format:\n ```json\n [\n {\n \"task_id\": str = \"unique identifier for a task in plan, can be an ordinal\",\n \"dependent_task_ids\": list[str] = \"ids of tasks prerequisite to this task\",\n \"instruction\": \"what you should do in this task, one short phrase or sentence\",\n \"task_type\": \"type of this task, should be one of Available Task Types\",\n },\n ...\n ]\n ```\n ": "```json\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Load the sklearn Iris dataset and display the first few rows.\",\n \"task_type\": \"eda\"\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\"1\"],\n \"instruction\": \"Perform exploratory data analysis on the Iris dataset to summarize the main characteristics.\",\n \"task_type\": \"eda\"\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\"2\"],\n \"instruction\": \"Create a scatter plot of the Iris dataset showing the relationship between sepal length and sepal width, color-coded by species.\",\n \"task_type\": \"eda\"\n }\n]\n```", + "\n # Context:\n user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[]\n## Current Task\n{}\n\n # Available Task Types:\n - **eda**: For performing exploratory data analysis\n- **data preprocessing**: For preprocessing dataset in a data analysis or machine learning task ONLY,general data operation doesn't fall into this type\n- **feature engineering**: Only for creating new columns for input data.\n- **model train**: Only for training model.\n- **model evaluate**: Only for evaluating model.\n- **image2webpage**: For converting image into webpage code.\n- **other**: Any tasks not in the defined categories\n- **text2image**: Related to text2image, image2image using stable diffusion model.\n- **web scraping**: For scraping data from web pages.\n- **email login**: For logging to an email.\n # Task:\n Based on the context, write a plan or modify an existing plan of what you should do to achieve the goal. A plan consists of one to 3 tasks.\n If you are modifying an existing plan, carefully follow the instruction, don't make unnecessary changes. Give the whole plan unless instructed to modify only one task of the plan.\n If you encounter errors on the current task, revise and output the current single task only.\n Output a list of jsons following the format:\n ```json\n [\n {\n \"task_id\": str = \"unique identifier for a task in plan, can be an ordinal\",\n \"dependent_task_ids\": list[str] = \"ids of tasks prerequisite to this task\",\n \"instruction\": \"what you should do in this task, one short phrase or sentence\",\n \"task_type\": \"type of this task, should be one of Available Task Types\",\n },\n ...\n ]\n ```\n ": "```json\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\"\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\"1\"],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\"\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\"2\"],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\"\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\"3\"],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\"\n }\n]\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\n\n```\n\n### execution result\n\n\n## Current Task\nPerform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \nThe current task is about exploratory data analysis, please note the following:\n- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation.\n- Remember to `import numpy as np` before using Numpy functions.\n\n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n": "```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\n\n# Load the wine dataset\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\n\n# Summary statistics for numerical features\nnumerical_summary = wine_df.describe()\n\n# Summary statistics for categorical features\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\n\n# Correlation matrix for numerical features\ncorrelation_matrix = wine_df.corr()\n\n# Plotting a histogram for each numerical feature\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\n\n# Displaying the summary statistics\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n```", + "\n# Background\nCheck latest data info to guide subsequent tasks.\n\n## Finished Tasks\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n```end\n\n# Task\nCheck code in finished tasks, print key variables to guide your following actions.\nSpecifically, if it is a data analysis or machine learning task, print the the latest column information using the following code, with DataFrame variable from 'Finished Tasks' in place of df:\n```python\nfrom metagpt.tools.libs.data_preprocess import get_column_info\n\ncolumn_info = get_column_info(df)\nprint(\"column_info\")\nprint(column_info)\n```end\nOtherwise, print out any key variables you see fit. Return an empty string if you think there is no important data to check.\n\n# Constraints:\n- Your code is to be added to a new cell in jupyter.\n\n# Instruction\nOutput code following the format:\n```python\nyour code\n```\n": "```python\nfrom metagpt.tools.libs.data_preprocess import get_column_info\n\ncolumn_info = get_column_info(wine_df)\nprint(\"column_info\")\nprint(column_info)\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n```\n\n### execution result\na successful run\n\n## Current Task\nPreprocess the dataset by splitting it into training and validation sets with a 80-20 split.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n#MSG_SEP#\n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n": "```python\nfrom sklearn.model_selection import train_test_split\n\n# Split the data into training and validation sets\nX_train, X_val, y_train, y_val = train_test_split(\n wine.data, wine.target, test_size=0.2, random_state=42\n)\n```", + "\n# Background\nCheck latest data info to guide subsequent tasks.\n\n## Finished Tasks\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_val, y_train, y_val = train_test_split(\n wine.data, wine.target, test_size=0.2, random_state=42\n)\n```end\n\n# Task\nCheck code in finished tasks, print key variables to guide your following actions.\nSpecifically, if it is a data analysis or machine learning task, print the the latest column information using the following code, with DataFrame variable from 'Finished Tasks' in place of df:\n```python\nfrom metagpt.tools.libs.data_preprocess import get_column_info\n\ncolumn_info = get_column_info(df)\nprint(\"column_info\")\nprint(column_info)\n```end\nOtherwise, print out any key variables you see fit. Return an empty string if you think there is no important data to check.\n\n# Constraints:\n- Your code is to be added to a new cell in jupyter.\n\n# Instruction\nOutput code following the format:\n```python\nyour code\n```\n": "```python\nfrom metagpt.tools.libs.data_preprocess import get_column_info\n\ncolumn_info = get_column_info(wine_df)\nprint(\"column_info\")\nprint(column_info)\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_val, y_train, y_val = train_test_split(\n wine.data, wine.target, test_size=0.2, random_state=42\n)\n```\n\n### execution result\na successful run\n\na successful run\n\n## Current Task\nTrain a model using the training set to predict wine class.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n#MSG_SEP#\n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n": "```python\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Initialize the model\nmodel = RandomForestClassifier(random_state=42)\n\n# Train the model\nmodel.fit(X_train, y_train)\n\n# Predict the validation set\ny_pred = model.predict(X_val)\n\n# Calculate the accuracy\naccuracy = accuracy_score(y_val, y_pred)\nprint(f\"Validation Accuracy: {accuracy:.2f}\")\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_val, y_train, y_val = train_test_split(\n wine.data, wine.target, test_size=0.2, random_state=42\n)\n\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\nmodel = RandomForestClassifier(random_state=42)\nmodel.fit(X_train, y_train)\ny_pred = model.predict(X_val)\naccuracy = accuracy_score(y_val, y_pred)\nprint(f\"Validation Accuracy: {accuracy:.2f}\")\n```\n\n### execution result\na successful run\n\na successful run\n\na successful run\n\n## Current Task\nEvaluate the model on the validation set and show the validation accuracy.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n": "```python\n# Since the model has already been trained and predictions have been made on the validation set,\n# we only need to evaluate the model using the predictions and the true labels from the validation set.\n\n# The accuracy has already been calculated and printed in the previous task.\n# However, to follow the task guidance and to ensure the output is only related to the current task,\n# we will calculate and print the validation accuracy again.\n\nvalidation_accuracy = accuracy_score(y_val, y_pred)\nprint(f\"Validation Accuracy: {validation_accuracy:.2f}\")\n```", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[]\n## Current Task\n{}\n\nassistant: [\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\"\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\"1\"],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\"\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\"2\"],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\"\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\"3\"],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\"\n }\n]\nThis is a review. Please review output from metagpt.actions.di.write_plan.WritePlan\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"1\",\"dependent_task_ids\":[],\"instruction\":\"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\"task_type\":\"eda\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nassistant: import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\n\n# Load the wine dataset\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\n\n# Summary statistics for numerical features\nnumerical_summary = wine_df.describe()\n\n# Summary statistics for categorical features\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\n\n# Correlation matrix for numerical features\ncorrelation_matrix = wine_df.corr()\n\n# Plotting a histogram for each numerical feature\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\n\n# Displaying the summary statistics\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom sklearn.datasets import load_wine\\n\\n# Load the wine dataset\\nwine = load_wine()\\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\\n columns=wine['feature_names'] + ['target'])\\n\\n# Summary statistics for numerical features\\nnumerical_summary = wine_df.describe()\\n\\n# Summary statistics for categorical features\\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\\n\\n# Correlation matrix for numerical features\\ncorrelation_matrix = wine_df.corr()\\n\\n# Plotting a histogram for each numerical feature\\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\\nplt.tight_layout()\\nplt.show()\\n\\n# Displaying the summary statistics\\nprint(\\\"Numerical Summary:\\\\n\\\", numerical_summary)\\nprint(\\\"\\\\nCategorical Summary:\\\\n\\\", categorical_summary)\\nprint(\\\"\\\\nCorrelation Matrix:\\\\n\\\", correlation_matrix)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"2\",\"dependent_task_ids\":[\"1\"],\"instruction\":\"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\"task_type\":\"data preprocessing\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nuser: \n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n\nassistant: from sklearn.model_selection import train_test_split\n\n# Split the data into training and validation sets\nX_train, X_val, y_train, y_val = train_test_split(\n wine.data, wine.target, test_size=0.2, random_state=42\n)\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom sklearn.datasets import load_wine\\n\\n# Load the wine dataset\\nwine = load_wine()\\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\\n columns=wine['feature_names'] + ['target'])\\n\\n# Summary statistics for numerical features\\nnumerical_summary = wine_df.describe()\\n\\n# Summary statistics for categorical features\\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\\n\\n# Correlation matrix for numerical features\\ncorrelation_matrix = wine_df.corr()\\n\\n# Plotting a histogram for each numerical feature\\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\\nplt.tight_layout()\\nplt.show()\\n\\n# Displaying the summary statistics\\nprint(\\\"Numerical Summary:\\\\n\\\", numerical_summary)\\nprint(\\\"\\\\nCategorical Summary:\\\\n\\\", categorical_summary)\\nprint(\\\"\\\\nCorrelation Matrix:\\\\n\\\", correlation_matrix)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"from sklearn.model_selection import train_test_split\\n\\n# Split the data into training and validation sets\\nX_train, X_val, y_train, y_val = train_test_split(\\n wine.data, wine.target, test_size=0.2, random_state=42\\n)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"3\",\"dependent_task_ids\":[\"2\"],\"instruction\":\"Train a model using the training set to predict wine class.\",\"task_type\":\"model train\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nuser: \n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n\nassistant: from sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Initialize the model\nmodel = RandomForestClassifier(random_state=42)\n\n# Train the model\nmodel.fit(X_train, y_train)\n\n# Predict the validation set\ny_pred = model.predict(X_val)\n\n# Calculate the accuracy\naccuracy = accuracy_score(y_val, y_pred)\nprint(f\"Validation Accuracy: {accuracy:.2f}\")\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom sklearn.datasets import load_wine\\n\\n# Load the wine dataset\\nwine = load_wine()\\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\\n columns=wine['feature_names'] + ['target'])\\n\\n# Summary statistics for numerical features\\nnumerical_summary = wine_df.describe()\\n\\n# Summary statistics for categorical features\\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\\n\\n# Correlation matrix for numerical features\\ncorrelation_matrix = wine_df.corr()\\n\\n# Plotting a histogram for each numerical feature\\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\\nplt.tight_layout()\\nplt.show()\\n\\n# Displaying the summary statistics\\nprint(\\\"Numerical Summary:\\\\n\\\", numerical_summary)\\nprint(\\\"\\\\nCategorical Summary:\\\\n\\\", categorical_summary)\\nprint(\\\"\\\\nCorrelation Matrix:\\\\n\\\", correlation_matrix)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"from sklearn.model_selection import train_test_split\\n\\n# Split the data into training and validation sets\\nX_train, X_val, y_train, y_val = train_test_split(\\n wine.data, wine.target, test_size=0.2, random_state=42\\n)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"from sklearn.ensemble import RandomForestClassifier\\nfrom sklearn.metrics import accuracy_score\\n\\n# Initialize the model\\nmodel = RandomForestClassifier(random_state=42)\\n\\n# Train the model\\nmodel.fit(X_train, y_train)\\n\\n# Predict the validation set\\ny_pred = model.predict(X_val)\\n\\n# Calculate the accuracy\\naccuracy = accuracy_score(y_val, y_pred)\\nprint(f\\\"Validation Accuracy: {accuracy:.2f}\\\")\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"4\",\"dependent_task_ids\":[\"3\"],\"instruction\":\"Evaluate the model on the validation set and show the validation accuracy.\",\"task_type\":\"model evaluate\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nassistant: # Since the model has already been trained and predictions have been made on the validation set,\n# we only need to evaluate the model using the predictions and the true labels from the validation set.\n\n# The accuracy has already been calculated and printed in the previous task.\n# However, to follow the task guidance and to ensure the output is only related to the current task,\n# we will calculate and print the validation accuracy again.\n\nvalidation_accuracy = accuracy_score(y_val, y_pred)\nprint(f\"Validation Accuracy: {validation_accuracy:.2f}\")\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n#MSG_SEP#Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.": "To achieve the user requirement, we will follow these steps:\n\n1. Load the Wine recognition dataset from `sklearn.datasets`.\n2. Perform a basic data analysis to understand the dataset.\n3. Visualize the data to gain insights.\n4. Split the dataset into training and validation sets.\n5. Train a classification model using the training set.\n6. Evaluate the model on the validation set and report the accuracy.\n\nLet's start by loading the dataset and performing the initial data analysis:\n\n```python\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Load the wine dataset\nwine = load_wine()\nX = wine.data\ny = wine.target\nfeature_names = wine.feature_names\nclass_names = wine.target_names\n\n# Convert to a DataFrame for better visualization and analysis\nwine_df = pd.DataFrame(X, columns=feature_names)\nwine_df['target'] = y\n\n# Basic data analysis\nprint(wine_df.describe())\n\n# Plotting the data\n# Let's plot the distribution of alcohol content for each class\nfor class_idx, class_name in enumerate(class_names):\n plt.hist(wine_df[wine_df['target'] == class_idx]['alcohol'], label=class_name, alpha=0.5)\nplt.title('Alcohol content distribution by wine class')\nplt.xlabel('Alcohol content')\nplt.ylabel('Frequency')\nplt.legend()\nplt.show()\n\n# Split the dataset into training and validation sets (80% train, 20% validation)\nX_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# Train a RandomForestClassifier\nmodel = RandomForestClassifier(random_state=42)\nmodel.fit(X_train, y_train)\n\n# Predict on the validation set\ny_pred = model.predict(X_val)\n\n# Calculate the accuracy on the validation set\naccuracy = accuracy_score(y_val, y_pred)\nprint(f'Validation accuracy: {accuracy:.2f}')\n```\n\nThis code will load the dataset, perform a basic analysis, plot the distribution of alcohol content for each wine class, split the data, train a RandomForestClassifier, and finally, evaluate its performance on the validation set.", + "\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n# Context\n[user: Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy., assistant: import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Load the wine dataset\nwine = load_wine()\nX = wine.data\ny = wine.target\nfeature_names = wine.feature_names\nclass_names = wine.target_names\n\n# Convert to a DataFrame for better visualization and analysis\nwine_df = pd.DataFrame(X, columns=feature_names)\nwine_df['target'] = y\n\n# Basic data analysis\nprint(wine_df.describe())\n\n# Plotting the data\n# Let's plot the distribution of alcohol content for each class\nfor class_idx, class_name in enumerate(class_names):\n plt.hist(wine_df[wine_df['target'] == class_idx]['alcohol'], label=class_name, alpha=0.5)\nplt.title('Alcohol content distribution by wine class')\nplt.xlabel('Alcohol content')\nplt.ylabel('Frequency')\nplt.legend()\nplt.show()\n\n# Split the dataset into training and validation sets (80% train, 20% validation)\nX_train, X_val, y_train, y_val = train_test_split(X, y, test_size=0.2, random_state=42)\n\n# Train a RandomForestClassifier\nmodel = RandomForestClassifier(random_state=42)\nmodel.fit(X_train, y_train)\n\n# Predict on the validation set\ny_pred = model.predict(X_val)\n\n# Calculate the accuracy on the validation set\naccuracy = accuracy_score(y_val, y_pred)\nprint(f'Validation accuracy: {accuracy:.2f}')\n, user: a successful run]\n\nOutput a json following the format:\n```json\n{\n \"thoughts\": str = \"Thoughts on current situation, reflect on how you should proceed to fulfill the user requirement\",\n \"state\": bool = \"Decide whether you need to take more actions to complete the user requirement. Return true if you think so. Return false if you think the requirement has been completely fulfilled.\"\n}\n```\n": "```json\n{\n \"thoughts\": \"The user has requested a data analysis on the sklearn Wine recognition dataset, including a plot and training a model to predict wine class with validation accuracy. The provided code snippet appears to fulfill the user's requirements. It loads the dataset, performs basic data analysis, creates a plot of alcohol content distribution by wine class, splits the data into training and validation sets, trains a RandomForestClassifier, predicts on the validation set, and prints the validation accuracy. Assuming the code runs successfully without errors, the user's requirements should be met.\",\n \"state\": false\n}\n```", + "\n## User Requirement:\nconduct feature engineering, add new features on the dataset\n\n## Task\nRecommend up to 5 tools from 'Available Tools' that can help solve the 'User Requirement'. \n\n## Available Tools:\n{'PolynomialExpansion': 'Add polynomial and interaction features from selected numeric columns to input DataFrame.', 'scrape_web_playwright': 'Asynchronously Scrape and save the HTML structure and inner text content of a web page using Playwright. ', 'FillMissingValue': 'Completing missing values with simple strategies.'}\n\n## Tool Selection and Instructions:\n- Select tools most relevant to completing the 'User Requirement'.\n- If you believe that no tools are suitable, indicate with an empty list.\n- Only list the names of the tools, not the full schema of each tool.\n- Ensure selected tools are listed in 'Available Tools'.\n- Output a json list of tool names:\n```json\n[\"tool_name1\", \"tool_name2\", ...]\n```\n": "```json\n[\"PolynomialExpansion\", \"FillMissingValue\"]\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n```\n\n### execution result\na successful run\n\n## Current Task\nPreprocess the dataset by splitting it into training and validation sets with a 80-20 split.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \nThe current task is about data preprocessing, please note the following:\n- Monitor data types per column, applying appropriate methods.\n- Ensure operations are on existing dataset columns.\n- Avoid writing processed data to files.\n- Avoid any change to label column, such as standardization, etc.\n- Prefer alternatives to one-hot encoding for categorical data.\n- Only encode or scale necessary columns to allow for potential feature-specific engineering tasks (like time_extract, binning, extraction, etc.) later.\n- Each step do data preprocessing to train, must do same for test separately at the same time.\n- Always copy the DataFrame before processing it and use the copy to process.\n\n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n#MSG_SEP#\n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n": "```python\nfrom sklearn.model_selection import train_test_split\n\n# Split the data into training and validation sets (80-20 split)\nX_train, X_val, y_train, y_val = train_test_split(\n wine_df.drop('target', axis=1), # features\n wine_df['target'], # target variable\n test_size=0.2, # 20% for validation\n random_state=42 # seed for reproducibility\n)\n\n# Output the shapes of the resulting data splits\nprint(f\"Training set shape: {X_train.shape}\")\nprint(f\"Validation set shape: {X_val.shape}\")\nprint(f\"Training target shape: {y_train.shape}\")\nprint(f\"Validation target shape: {y_val.shape}\")\n```", + "\n# Background\nCheck latest data info to guide subsequent tasks.\n\n## Finished Tasks\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_val, y_train, y_val = train_test_split(\n wine_df.drop('target', axis=1),\n wine_df['target'],\n test_size=0.2,\n random_state=42\n)\nprint(f\"Training set shape: {X_train.shape}\")\nprint(f\"Validation set shape: {X_val.shape}\")\nprint(f\"Training target shape: {y_train.shape}\")\nprint(f\"Validation target shape: {y_val.shape}\")\n```end\n\n# Task\nCheck code in finished tasks, print key variables to guide your following actions.\nSpecifically, if it is a data analysis or machine learning task, print the the latest column information using the following code, with DataFrame variable from 'Finished Tasks' in place of df:\n```python\nfrom metagpt.tools.libs.data_preprocess import get_column_info\n\ncolumn_info = get_column_info(df)\nprint(\"column_info\")\nprint(column_info)\n```end\nOtherwise, print out any key variables you see fit. Return an empty string if you think there is no important data to check.\n\n# Constraints:\n- Your code is to be added to a new cell in jupyter.\n\n# Instruction\nOutput code following the format:\n```python\nyour code\n```\n": "```python\nfrom metagpt.tools.libs.data_preprocess import get_column_info\n\ncolumn_info = get_column_info(wine_df)\nprint(\"column_info\")\nprint(column_info)\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_val, y_train, y_val = train_test_split(\n wine_df.drop('target', axis=1),\n wine_df['target'],\n test_size=0.2,\n random_state=42\n)\nprint(f\"Training set shape: {X_train.shape}\")\nprint(f\"Validation set shape: {X_val.shape}\")\nprint(f\"Training target shape: {y_train.shape}\")\nprint(f\"Validation target shape: {y_val.shape}\")\n```\n\n### execution result\na successful run\n\na successful run\n\n## Current Task\nTrain a model using the training set to predict wine class.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \nThe current task is about training a model, please ensure high performance:\n- Keep in mind that your user prioritizes results and is highly focused on model performance. So, when needed, feel free to use models of any complexity to improve effectiveness, such as XGBoost, CatBoost, etc.\n- If non-numeric columns exist, perform label encode together with all steps.\n- Use the data from previous task result directly, do not mock or reload data yourself.\n- Set suitable hyperparameters for the model, make metrics as high as possible.\n\n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n#MSG_SEP#\n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n": "```python\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Initialize the RandomForestClassifier\nmodel = RandomForestClassifier(n_estimators=100, random_state=42)\n\n# Train the model on the training data\nmodel.fit(X_train, y_train)\n\n# Predict the wine classes on the validation set\ny_val_pred = model.predict(X_val)\n\n# Calculate the accuracy on the validation set\nval_accuracy = accuracy_score(y_val, y_val_pred)\n\nprint(f\"Validation Accuracy: {val_accuracy:.4f}\")\n```", + "As a data scientist, you need to help user to achieve their goal step by step in a continuous Jupyter notebook. Since it is a notebook environment, don't use asyncio.run. Instead, use await if you need to call an async function.#SYSTEM_MSG_END#\n# User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n\n# Plan Status\n\n## Finished Tasks\n### code\n```python\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nfrom sklearn.datasets import load_wine\nwine = load_wine()\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\n columns=wine['feature_names'] + ['target'])\nnumerical_summary = wine_df.describe()\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\ncorrelation_matrix = wine_df.corr()\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\nplt.tight_layout()\nplt.show()\nprint(\"Numerical Summary:\\n\", numerical_summary)\nprint(\"\\nCategorical Summary:\\n\", categorical_summary)\nprint(\"\\nCorrelation Matrix:\\n\", correlation_matrix)\n\nfrom sklearn.model_selection import train_test_split\nX_train, X_val, y_train, y_val = train_test_split(\n wine_df.drop('target', axis=1),\n wine_df['target'],\n test_size=0.2,\n random_state=42\n)\nprint(f\"Training set shape: {X_train.shape}\")\nprint(f\"Validation set shape: {X_val.shape}\")\nprint(f\"Training target shape: {y_train.shape}\")\nprint(f\"Validation target shape: {y_val.shape}\")\n\nfrom sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\nmodel = RandomForestClassifier(n_estimators=100, random_state=42)\nmodel.fit(X_train, y_train)\ny_val_pred = model.predict(X_val)\nval_accuracy = accuracy_score(y_val, y_val_pred)\nprint(f\"Validation Accuracy: {val_accuracy:.4f}\")\n```\n\n### execution result\na successful run\n\na successful run\n\na successful run\n\n## Current Task\nEvaluate the model on the validation set and show the validation accuracy.\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \nThe current task is about evaluating a model, please note the following:\n- Ensure that the evaluated data is same processed as the training data. If not, remember use object in 'Done Tasks' to transform the data.\n- Use trained model from previous task result directly, do not mock or reload model yourself.\n\n\n\n# Tool Info\n\n\n# Constraints\n- Take on Current Task if it is in Plan Status, otherwise, tackle User Requirement directly.\n- Ensure the output new code is executable in the same Jupyter notebook as the previous executed code.\n- Always prioritize using pre-defined tools for the same functionality.\n\n# Output\nWhile some concise thoughts are helpful, code is absolutely required. Always output one and only one code block in your response. Output code in the following format:\n```python\nyour code\n```\n": "```python\n# Evaluate the model on the validation set and show the validation accuracy\nval_accuracy = accuracy_score(y_val, y_val_pred)\nprint(f\"Validation Accuracy: {val_accuracy:.4f}\")\n```", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom sklearn.datasets import load_wine\\n\\n# Load the wine dataset\\nwine = load_wine()\\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\\n columns=wine['feature_names'] + ['target'])\\n\\n# Summary statistics for numerical features\\nnumerical_summary = wine_df.describe()\\n\\n# Summary statistics for categorical features\\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\\n\\n# Correlation matrix for numerical features\\ncorrelation_matrix = wine_df.corr()\\n\\n# Plotting a histogram for each numerical feature\\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\\nplt.tight_layout()\\nplt.show()\\n\\n# Displaying the summary statistics\\nprint(\\\"Numerical Summary:\\\\n\\\", numerical_summary)\\nprint(\\\"\\\\nCategorical Summary:\\\\n\\\", categorical_summary)\\nprint(\\\"\\\\nCorrelation Matrix:\\\\n\\\", correlation_matrix)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"2\",\"dependent_task_ids\":[\"1\"],\"instruction\":\"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\"task_type\":\"data preprocessing\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nuser: \n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n\nassistant: from sklearn.model_selection import train_test_split\n\n# Split the data into training and validation sets (80-20 split)\nX_train, X_val, y_train, y_val = train_test_split(\n wine_df.drop('target', axis=1), # features\n wine_df['target'], # target variable\n test_size=0.2, # 20% for validation\n random_state=42 # seed for reproducibility\n)\n\n# Output the shapes of the resulting data splits\nprint(f\"Training set shape: {X_train.shape}\")\nprint(f\"Validation set shape: {X_val.shape}\")\nprint(f\"Training target shape: {y_train.shape}\")\nprint(f\"Validation target shape: {y_val.shape}\")\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom sklearn.datasets import load_wine\\n\\n# Load the wine dataset\\nwine = load_wine()\\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\\n columns=wine['feature_names'] + ['target'])\\n\\n# Summary statistics for numerical features\\nnumerical_summary = wine_df.describe()\\n\\n# Summary statistics for categorical features\\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\\n\\n# Correlation matrix for numerical features\\ncorrelation_matrix = wine_df.corr()\\n\\n# Plotting a histogram for each numerical feature\\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\\nplt.tight_layout()\\nplt.show()\\n\\n# Displaying the summary statistics\\nprint(\\\"Numerical Summary:\\\\n\\\", numerical_summary)\\nprint(\\\"\\\\nCategorical Summary:\\\\n\\\", categorical_summary)\\nprint(\\\"\\\\nCorrelation Matrix:\\\\n\\\", correlation_matrix)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"from sklearn.model_selection import train_test_split\\n\\n# Split the data into training and validation sets (80-20 split)\\nX_train, X_val, y_train, y_val = train_test_split(\\n wine_df.drop('target', axis=1), # features\\n wine_df['target'], # target variable\\n test_size=0.2, # 20% for validation\\n random_state=42 # seed for reproducibility\\n)\\n\\n# Output the shapes of the resulting data splits\\nprint(f\\\"Training set shape: {X_train.shape}\\\")\\nprint(f\\\"Validation set shape: {X_val.shape}\\\")\\nprint(f\\\"Training target shape: {y_train.shape}\\\")\\nprint(f\\\"Validation target shape: {y_val.shape}\\\")\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"3\",\"dependent_task_ids\":[\"2\"],\"instruction\":\"Train a model using the training set to predict wine class.\",\"task_type\":\"model train\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nuser: \n# Latest Data Info\nLatest data info after previous tasks:\na successful run\n\nassistant: from sklearn.ensemble import RandomForestClassifier\nfrom sklearn.metrics import accuracy_score\n\n# Initialize the RandomForestClassifier\nmodel = RandomForestClassifier(n_estimators=100, random_state=42)\n\n# Train the model on the training data\nmodel.fit(X_train, y_train)\n\n# Predict the wine classes on the validation set\ny_val_pred = model.predict(X_val)\n\n# Calculate the accuracy on the validation set\nval_accuracy = accuracy_score(y_val, y_val_pred)\n\nprint(f\"Validation Accuracy: {val_accuracy:.4f}\")\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm", + "user: \n## User Requirement\nRun data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy.\n## Context\n\n## Current Plan\n[\n {\n \"task_id\": \"1\",\n \"dependent_task_ids\": [],\n \"instruction\": \"Perform exploratory data analysis on the sklearn Wine recognition dataset including summary statistics and a plot.\",\n \"task_type\": \"eda\",\n \"code\": \"import numpy as np\\nimport pandas as pd\\nimport matplotlib.pyplot as plt\\nfrom sklearn.datasets import load_wine\\n\\n# Load the wine dataset\\nwine = load_wine()\\nwine_df = pd.DataFrame(data=np.c_[wine['data'], wine['target']],\\n columns=wine['feature_names'] + ['target'])\\n\\n# Summary statistics for numerical features\\nnumerical_summary = wine_df.describe()\\n\\n# Summary statistics for categorical features\\ncategorical_summary = wine_df.select_dtypes(include=['object', 'category']).describe()\\n\\n# Correlation matrix for numerical features\\ncorrelation_matrix = wine_df.corr()\\n\\n# Plotting a histogram for each numerical feature\\nwine_df.hist(bins=15, figsize=(15, 10), layout=(4, 4))\\nplt.tight_layout()\\nplt.show()\\n\\n# Displaying the summary statistics\\nprint(\\\"Numerical Summary:\\\\n\\\", numerical_summary)\\nprint(\\\"\\\\nCategorical Summary:\\\\n\\\", categorical_summary)\\nprint(\\\"\\\\nCorrelation Matrix:\\\\n\\\", correlation_matrix)\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"2\",\n \"dependent_task_ids\": [\n \"1\"\n ],\n \"instruction\": \"Preprocess the dataset by splitting it into training and validation sets with a 80-20 split.\",\n \"task_type\": \"data preprocessing\",\n \"code\": \"from sklearn.model_selection import train_test_split\\n\\n# Split the data into training and validation sets (80-20 split)\\nX_train, X_val, y_train, y_val = train_test_split(\\n wine_df.drop('target', axis=1), # features\\n wine_df['target'], # target variable\\n test_size=0.2, # 20% for validation\\n random_state=42 # seed for reproducibility\\n)\\n\\n# Output the shapes of the resulting data splits\\nprint(f\\\"Training set shape: {X_train.shape}\\\")\\nprint(f\\\"Validation set shape: {X_val.shape}\\\")\\nprint(f\\\"Training target shape: {y_train.shape}\\\")\\nprint(f\\\"Validation target shape: {y_val.shape}\\\")\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"3\",\n \"dependent_task_ids\": [\n \"2\"\n ],\n \"instruction\": \"Train a model using the training set to predict wine class.\",\n \"task_type\": \"model train\",\n \"code\": \"from sklearn.ensemble import RandomForestClassifier\\nfrom sklearn.metrics import accuracy_score\\n\\n# Initialize the RandomForestClassifier\\nmodel = RandomForestClassifier(n_estimators=100, random_state=42)\\n\\n# Train the model on the training data\\nmodel.fit(X_train, y_train)\\n\\n# Predict the wine classes on the validation set\\ny_val_pred = model.predict(X_val)\\n\\n# Calculate the accuracy on the validation set\\nval_accuracy = accuracy_score(y_val, y_val_pred)\\n\\nprint(f\\\"Validation Accuracy: {val_accuracy:.4f}\\\")\\n\",\n \"result\": \"a successful run\",\n \"is_success\": true,\n \"is_finished\": true\n },\n {\n \"task_id\": \"4\",\n \"dependent_task_ids\": [\n \"3\"\n ],\n \"instruction\": \"Evaluate the model on the validation set and show the validation accuracy.\",\n \"task_type\": \"model evaluate\",\n \"code\": \"\",\n \"result\": \"\",\n \"is_success\": false,\n \"is_finished\": false\n }\n]\n## Current Task\n{\"task_id\":\"4\",\"dependent_task_ids\":[\"3\"],\"instruction\":\"Evaluate the model on the validation set and show the validation accuracy.\",\"task_type\":\"model evaluate\",\"code\":\"\",\"result\":\"\",\"is_success\":false,\"is_finished\":false}\n\nassistant: # Evaluate the model on the validation set and show the validation accuracy\nval_accuracy = accuracy_score(y_val, y_val_pred)\nprint(f\"Validation Accuracy: {val_accuracy:.4f}\")\n\nuser: a successful runThis is a review. Please review output from metagpt.actions.di.execute_nb_code.ExecuteNbCode\nIf you want to change, add, delete a task or merge tasks in the plan, say 'change task task_id or current task, ... (things to change)' If you confirm the output from the current task and wish to continue, type: confirmIf you think user requirement has been fulfilled completedly, you can finish the process by typing: finish\nIf you want to terminate the process, type: exit\nPlease type your review below:\n": "confirm" } \ No newline at end of file diff --git a/tests/metagpt/actions/ci/test_debug_code.py b/tests/metagpt/actions/ci/test_debug_code.py deleted file mode 100644 index 0307ac17e..000000000 --- a/tests/metagpt/actions/ci/test_debug_code.py +++ /dev/null @@ -1,51 +0,0 @@ -# -*- coding: utf-8 -*- -# @Date : 1/11/2024 8:51 PM -# @Author : stellahong (stellahong@fuzhi.ai) -# @Desc : - -import pytest - -from metagpt.actions.ci.debug_code import DebugCode -from metagpt.schema import Message - -ErrorStr = """Tested passed: - -Tests failed: -assert sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5] # output: [1, 2, 4, 3, 5] -""" - -CODE = """ -def sort_array(arr): - # Helper function to count the number of ones in the binary representation - def count_ones(n): - return bin(n).count('1') - - # Sort the array using a custom key function - # The key function returns a tuple (number of ones, value) for each element - # This ensures that if two elements have the same number of ones, they are sorted by their value - sorted_arr = sorted(arr, key=lambda x: (count_ones(x), x)) - - return sorted_arr -``` -""" - -DebugContext = '''Solve the problem in Python: -def sort_array(arr): - """ - In this Kata, you have to sort an array of non-negative integers according to - number of ones in their binary representation in ascending order. - For similar number of ones, sort based on decimal value. - - It must be implemented like this: - >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5] - >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2] - >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4] - """ -''' - - -@pytest.mark.asyncio -async def test_debug_code(): - debug_context = Message(content=DebugContext) - new_code = await DebugCode().run(context=debug_context, code=CODE, runtime_result=ErrorStr) - assert "def sort_array(arr)" in new_code["code"] diff --git a/tests/metagpt/actions/ci/test_ml_action.py b/tests/metagpt/actions/ci/test_ml_action.py deleted file mode 100644 index 5d9507094..000000000 --- a/tests/metagpt/actions/ci/test_ml_action.py +++ /dev/null @@ -1,46 +0,0 @@ -import pytest - -from metagpt.actions.ci.ml_action import WriteCodeWithToolsML -from metagpt.schema import Plan, Task - - -@pytest.mark.asyncio -async def test_write_code_with_tools(): - write_code_ml = WriteCodeWithToolsML() - - task_map = { - "1": Task( - task_id="1", - instruction="随机生成一个pandas DataFrame数据集", - task_type="other", - dependent_task_ids=[], - code=""" - import pandas as pd - df = pd.DataFrame({ - 'a': [1, 2, 3, 4, 5], - 'b': [1.1, 2.2, 3.3, 4.4, np.nan], - 'c': ['aa', 'bb', 'cc', 'dd', 'ee'], - 'd': [1, 2, 3, 4, 5] - }) - """, - is_finished=True, - ), - "2": Task( - task_id="2", - instruction="对数据集进行数据清洗", - task_type="data_preprocess", - dependent_task_ids=["1"], - ), - } - plan = Plan( - goal="构造数据集并进行数据清洗", - tasks=list(task_map.values()), - task_map=task_map, - current_task_id="2", - ) - column_info = "" - - _, code_with_ml = await write_code_ml.run([], plan, column_info) - code_with_ml = code_with_ml["code"] - assert len(code_with_ml) > 0 - print(code_with_ml) diff --git a/tests/metagpt/actions/ci/test_write_analysis_code.py b/tests/metagpt/actions/ci/test_write_analysis_code.py deleted file mode 100644 index 95c7dfca8..000000000 --- a/tests/metagpt/actions/ci/test_write_analysis_code.py +++ /dev/null @@ -1,324 +0,0 @@ -import asyncio - -import pytest - -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode -from metagpt.actions.ci.write_analysis_code import ( - WriteCodeWithoutTools, - WriteCodeWithTools, -) -from metagpt.logs import logger -from metagpt.schema import Message, Plan, Task -from metagpt.strategy.planner import STRUCTURAL_CONTEXT - - -@pytest.mark.skip -@pytest.mark.asyncio -async def test_write_code_by_list_plan(): - write_code = WriteCodeWithoutTools() - execute_code = ExecuteNbCode() - messages = [] - plan = ["随机生成一个pandas DataFrame时间序列", "绘制这个时间序列的直方图", "回顾已完成的任务", "求均值", "总结"] - for task in plan: - print(f"\n任务: {task}\n\n") - messages.append(Message(task, role="assistant")) - code = await write_code.run(messages) - if task.startswith(("回顾", "总结")): - assert code["language"] == "markdown" - else: - assert code["language"] == "python" - messages.append(Message(code["code"], role="assistant")) - assert len(code) > 0 - output, _ = await execute_code.run(**code) - print(f"\n[Output]: 任务{task}的执行结果是: \n{output}\n") - messages.append(output) - - -@pytest.mark.asyncio -async def test_tool_recommendation(): - task = "clean and preprocess the data" - available_tools = { - "FillMissingValue": "Filling missing values", - "SplitBins": "Bin continuous data into intervals and return the bin identifier encoded as an integer value", - } - write_code = WriteCodeWithTools() - tools = await write_code._recommend_tool(task, available_tools) - - assert len(tools) == 1 - assert "FillMissingValue" in tools - - -@pytest.mark.asyncio -async def test_write_code_with_tools(): - write_code = WriteCodeWithTools() - - requirement = "构造数据集并进行数据清洗" - task_map = { - "1": Task( - task_id="1", - instruction="随机生成一个pandas DataFrame数据集", - task_type="other", - dependent_task_ids=[], - code=""" - import pandas as pd - df = pd.DataFrame({ - 'a': [1, 2, 3, 4, 5], - 'b': [1.1, 2.2, 3.3, 4.4, np.nan], - 'c': ['aa', 'bb', 'cc', 'dd', 'ee'], - 'd': [1, 2, 3, 4, 5] - }) - """, - is_finished=True, - ), - "2": Task( - task_id="2", - instruction="对数据集进行数据清洗", - task_type="data_preprocess", - dependent_task_ids=["1"], - ), - } - plan = Plan( - goal="构造数据集并进行数据清洗", - tasks=list(task_map.values()), - task_map=task_map, - current_task_id="2", - ) - - context = STRUCTURAL_CONTEXT.format( - user_requirement=requirement, - context=plan.context, - tasks=list(task_map.values()), - current_task=plan.current_task.model_dump_json(), - ) - context_msg = [Message(content=context, role="user")] - - code = await write_code.run(context_msg, plan) - code = code["code"] - assert len(code) > 0 - print(code) - - -@pytest.mark.asyncio -async def test_write_code_to_correct_error(): - structural_context = """ - ## User Requirement - read a dataset test.csv and print its head - ## Current Plan - [ - { - "task_id": "1", - "dependent_task_ids": [], - "instruction": "import pandas and load the dataset from 'test.csv'.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - }, - { - "task_id": "2", - "dependent_task_ids": [ - "1" - ], - "instruction": "Print the head of the dataset to display the first few rows.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - } - ] - ## Current Task - {"task_id": "1", "dependent_task_ids": [], "instruction": "import pandas and load the dataset from 'test.csv'.", "task_type": "", "code": "", "result": "", "is_finished": false} - """ - wrong_code = """import pandas as pd\ndata = pd.read_excel('test.csv')\ndata""" # use read_excel to read a csv - error = """ - Traceback (most recent call last): - File "", line 2, in - File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel - io = ExcelFile(io, storage_options=storage_options, engine=engine) - File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__ - raise ValueError( - ValueError: Excel file format cannot be determined, you must specify an engine manually. - """ - context = [ - Message(content=structural_context, role="user"), - Message(content=wrong_code, role="assistant"), - Message(content=error, role="user"), - ] - new_code = await WriteCodeWithoutTools().run(context=context) - new_code = new_code["code"] - print(new_code) - assert "read_csv" in new_code # should correct read_excel to read_csv - - -@pytest.mark.asyncio -async def test_write_code_reuse_code_simple(): - structural_context = """ - ## User Requirement - read a dataset test.csv and print its head - ## Current Plan - [ - { - "task_id": "1", - "dependent_task_ids": [], - "instruction": "import pandas and load the dataset from 'test.csv'.", - "task_type": "", - "code": "import pandas as pd\ndata = pd.read_csv('test.csv')", - "result": "", - "is_finished": true - }, - { - "task_id": "2", - "dependent_task_ids": [ - "1" - ], - "instruction": "Print the head of the dataset to display the first few rows.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - } - ] - ## Current Task - {"task_id": "2", "dependent_task_ids": ["1"], "instruction": "Print the head of the dataset to display the first few rows.", "task_type": "", "code": "", "result": "", "is_finished": false} - """ - context = [ - Message(content=structural_context, role="user"), - ] - code = await WriteCodeWithoutTools().run(context=context) - code = code["code"] - print(code) - assert "pandas" not in code and "read_csv" not in code # should reuse import and read statement from previous one - - -@pytest.mark.skip -@pytest.mark.asyncio -async def test_write_code_reuse_code_long(): - """test code reuse for long context""" - - structural_context = """ - ## User Requirement - Run data analysis on sklearn Iris dataset, include a plot - ## Current Plan - [ - { - "task_id": "1", - "dependent_task_ids": [], - "instruction": "Load the Iris dataset from sklearn.", - "task_type": "", - "code": "from sklearn.datasets import load_iris\niris_data = load_iris()\niris_data['data'][0:5], iris_data['target'][0:5]", - "result": "(array([[5.1, 3.5, 1.4, 0.2],\n [4.9, 3. , 1.4, 0.2],\n [4.7, 3.2, 1.3, 0.2],\n [4.6, 3.1, 1.5, 0.2],\n [5. , 3.6, 1.4, 0.2]]),\n array([0, 0, 0, 0, 0]))", - "is_finished": true - }, - { - "task_id": "2", - "dependent_task_ids": [ - "1" - ], - "instruction": "Perform exploratory data analysis on the Iris dataset.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - }, - { - "task_id": "3", - "dependent_task_ids": [ - "2" - ], - "instruction": "Create a plot visualizing the Iris dataset features.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - } - ] - ## Current Task - {"task_id": "2", "dependent_task_ids": ["1"], "instruction": "Perform exploratory data analysis on the Iris dataset.", "task_type": "", "code": "", "result": "", "is_finished": false} - """ - context = [ - Message(content=structural_context, role="user"), - ] - trials_num = 5 - trials = [WriteCodeWithoutTools().run(context=context, temperature=0.0) for _ in range(trials_num)] - trial_results = await asyncio.gather(*trials) - print(*trial_results, sep="\n\n***\n\n") - success = [ - "load_iris" not in result["code"] and "iris_data" in result["code"] for result in trial_results - ] # should reuse iris_data from previous tasks - success_rate = sum(success) / trials_num - logger.info(f"success rate: {success_rate :.2f}") - assert success_rate >= 0.8 - - -@pytest.mark.skip -@pytest.mark.asyncio -async def test_write_code_reuse_code_long_for_wine(): - """test code reuse for long context""" - - structural_context = """ - ## User Requirement - Run data analysis on sklearn Wisconsin Breast Cancer dataset, include a plot, train a model to predict targets (20% as validation), and show validation accuracy - ## Current Plan - [ - { - "task_id": "1", - "dependent_task_ids": [], - "instruction": "Load the sklearn Wine recognition dataset and perform exploratory data analysis." - "task_type": "", - "code": "from sklearn.datasets import load_wine\n# Load the Wine recognition dataset\nwine_data = load_wine()\n# Perform exploratory data analysis\nwine_data.keys()", - "result": "Truncated to show only the last 1000 characters\ndict_keys(['data', 'target', 'frame', 'target_names', 'DESCR', 'feature_names'])", - "is_finished": true - }, - { - "task_id": "2", - "dependent_task_ids": ["1"], - "instruction": "Create a plot to visualize some aspect of the wine dataset." - "task_type": "", - "code": "", - "result": "", - "is_finished": false - }, - { - "task_id": "3", - "dependent_task_ids": ["1"], - "instruction": "Split the dataset into training and validation sets with a 20% validation size.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - }, - { - "task_id": "4", - "dependent_task_ids": ["3"], - "instruction": "Train a model on the training set to predict wine class.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - }, - { - "task_id": "5", - "dependent_task_ids": ["4"], - "instruction": "Evaluate the model on the validation set and report the accuracy.", - "task_type": "", - "code": "", - "result": "", - "is_finished": false - } - ] - ## Current Task - {"task_id": "2", "dependent_task_ids": ["1"], "instruction": "Create a plot to visualize some aspect of the Wine dataset.", "task_type": "", "code": "", "result": "", "is_finished": false} - """ - context = [ - Message(content=structural_context, role="user"), - ] - trials_num = 5 - trials = [WriteCodeWithoutTools().run(context=context, temperature=0.0) for _ in range(trials_num)] - trial_results = await asyncio.gather(*trials) - print(*trial_results, sep="\n\n***\n\n") - success = [ - "load_wine" not in result["code"] and "wine_data" in result["code"] for result in trial_results - ] # should reuse iris_data from previous tasks - success_rate = sum(success) / trials_num - logger.info(f"success rate: {success_rate :.2f}") - assert success_rate >= 0.8 diff --git a/tests/metagpt/actions/ci/test_ask_review.py b/tests/metagpt/actions/di/test_ask_review.py similarity index 84% rename from tests/metagpt/actions/ci/test_ask_review.py rename to tests/metagpt/actions/di/test_ask_review.py index 4f02fe10b..6bb1accf5 100644 --- a/tests/metagpt/actions/ci/test_ask_review.py +++ b/tests/metagpt/actions/di/test_ask_review.py @@ -1,6 +1,6 @@ import pytest -from metagpt.actions.ci.ask_review import AskReview +from metagpt.actions.di.ask_review import AskReview @pytest.mark.asyncio diff --git a/tests/metagpt/actions/ci/test_execute_nb_code.py b/tests/metagpt/actions/di/test_execute_nb_code.py similarity index 65% rename from tests/metagpt/actions/ci/test_execute_nb_code.py rename to tests/metagpt/actions/di/test_execute_nb_code.py index 72a85dd08..b206046d7 100644 --- a/tests/metagpt/actions/ci/test_execute_nb_code.py +++ b/tests/metagpt/actions/di/test_execute_nb_code.py @@ -1,6 +1,6 @@ import pytest -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode, truncate +from metagpt.actions.di.execute_nb_code import ExecuteNbCode @pytest.mark.asyncio @@ -8,6 +8,7 @@ async def test_code_running(): executor = ExecuteNbCode() output, is_success = await executor.run("print('hello world!')") assert is_success + await executor.terminate() @pytest.mark.asyncio @@ -17,6 +18,7 @@ async def test_split_code_running(): _ = await executor.run("z=x+y") output, is_success = await executor.run("assert z==3") assert is_success + await executor.terminate() @pytest.mark.asyncio @@ -24,6 +26,7 @@ async def test_execute_error(): executor = ExecuteNbCode() output, is_success = await executor.run("z=1/0") assert not is_success + await executor.terminate() PLOT_CODE = """ @@ -52,21 +55,7 @@ async def test_plotting_code(): executor = ExecuteNbCode() output, is_success = await executor.run(PLOT_CODE) assert is_success - - -def test_truncate(): - # 代码执行成功 - output, is_success = truncate("hello world", 5, True) - assert "Truncated to show only first 5 characters\nhello" in output - assert is_success - # 代码执行失败 - output, is_success = truncate("hello world", 5, False) - assert "Truncated to show only last 5 characters\nworld" in output - assert not is_success - # 异步 - output, is_success = truncate("1 to test terminate under continuous run +async def test_terminate(k): + for _ in range(k): + executor = ExecuteNbCode() + await executor.run(code='print("This is a code!")', language="python") + is_kernel_alive = await executor.nb_client.km.is_alive() + assert is_kernel_alive + await executor.terminate() + assert executor.nb_client.km is None + assert executor.nb_client.kc is None @pytest.mark.asyncio @@ -114,3 +107,22 @@ async def test_reset(): assert is_kernel_alive await executor.reset() assert executor.nb_client.km is None + await executor.terminate() + + +@pytest.mark.asyncio +async def test_parse_outputs(): + executor = ExecuteNbCode() + code = """ + import pandas as pd + df = pd.DataFrame({'ID': [1,2,3], 'NAME': ['a', 'b', 'c']}) + print(df.columns) + print(f"columns num:{len(df.columns)}") + print(df['DUMMPY_ID']) + """ + output, is_success = await executor.run(code) + assert not is_success + assert "Index(['ID', 'NAME'], dtype='object')" in output + assert "KeyError: 'DUMMPY_ID'" in output + assert "columns num:2" in output + await executor.terminate() diff --git a/tests/metagpt/actions/di/test_write_analysis_code.py b/tests/metagpt/actions/di/test_write_analysis_code.py new file mode 100644 index 000000000..2996f31f7 --- /dev/null +++ b/tests/metagpt/actions/di/test_write_analysis_code.py @@ -0,0 +1,79 @@ +import pytest + +from metagpt.actions.di.write_analysis_code import WriteAnalysisCode +from metagpt.schema import Message + + +@pytest.mark.asyncio +async def test_write_code_with_plan(): + write_code = WriteAnalysisCode() + + user_requirement = "Run data analysis on sklearn Iris dataset, include a plot" + plan_status = "\n## Finished Tasks\n### code\n```python\n\n```\n\n### execution result\n\n\n## Current Task\nLoad the sklearn Iris dataset and perform exploratory data analysis\n\n## Task Guidance\nWrite complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc.\nSpecifically, \nThe current task is about exploratory data analysis, please note the following:\n- Distinguish column types with `select_dtypes` for tailored analysis and visualization, such as correlation.\n- Remember to `import numpy as np` before using Numpy functions.\n\n" + + code = await write_code.run(user_requirement=user_requirement, plan_status=plan_status) + assert len(code) > 0 + assert "sklearn" in code + + +@pytest.mark.asyncio +async def test_write_code_with_tools(): + write_code = WriteAnalysisCode() + + user_requirement = "Preprocess sklearn Wine recognition dataset and train a model to predict wine class (20% as validation), and show validation accuracy." + tool_info = """ + ## Capabilities + - You can utilize pre-defined tools in any code lines from 'Available Tools' in the form of Python class or function. + - You can freely combine the use of any other public packages, like sklearn, numpy, pandas, etc.. + + ## Available Tools: + Each tool is described in JSON format. When you call a tool, import the tool from its path first. + {'FillMissingValue': {'type': 'class', 'description': 'Completing missing values with simple strategies.', 'methods': {'__init__': {'type': 'function', 'description': 'Initialize self. ', 'signature': '(self, features: \'list\', strategy: "Literal[\'mean\', \'median\', \'most_frequent\', \'constant\']" = \'mean\', fill_value=None)', 'parameters': 'Args: features (list): Columns to be processed. strategy (Literal["mean", "median", "most_frequent", "constant"], optional): The imputation strategy, notice \'mean\' and \'median\' can only be used for numeric features. Defaults to \'mean\'. fill_value (int, optional): Fill_value is used to replace all occurrences of missing_values. Defaults to None.'}, 'fit': {'type': 'function', 'description': 'Fit a model to be used in subsequent transform. ', 'signature': "(self, df: 'pd.DataFrame')", 'parameters': 'Args: df (pd.DataFrame): The input DataFrame.'}, 'fit_transform': {'type': 'function', 'description': 'Fit and transform the input DataFrame. ', 'signature': "(self, df: 'pd.DataFrame') -> 'pd.DataFrame'", 'parameters': 'Args: df (pd.DataFrame): The input DataFrame. Returns: pd.DataFrame: The transformed DataFrame.'}, 'transform': {'type': 'function', 'description': 'Transform the input DataFrame with the fitted model. ', 'signature': "(self, df: 'pd.DataFrame') -> 'pd.DataFrame'", 'parameters': 'Args: df (pd.DataFrame): The input DataFrame. Returns: pd.DataFrame: The transformed DataFrame.'}}, 'tool_path': 'metagpt/tools/libs/data_preprocess.py'} + """ + + code = await write_code.run(user_requirement=user_requirement, tool_info=tool_info) + assert len(code) > 0 + assert "metagpt.tools.libs" in code + + +@pytest.mark.asyncio +async def test_debug_with_reflection(): + user_requirement = "read a dataset test.csv and print its head" + + plan_status = """ + ## Finished Tasks + ### code + ```python + ``` + + ### execution result + + ## Current Task + import pandas and load the dataset from 'test.csv'. + + ## Task Guidance + Write complete code for 'Current Task'. And avoid duplicating code from 'Finished Tasks', such as repeated import of packages, reading data, etc. + Specifically, + """ + + wrong_code = """import pandas as pd\ndata = pd.read_excel('test.csv')\ndata""" # use read_excel to read a csv + error = """ + Traceback (most recent call last): + File "", line 2, in + File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 478, in read_excel + io = ExcelFile(io, storage_options=storage_options, engine=engine) + File "/Users/gary/miniconda3/envs/py39_scratch/lib/python3.9/site-packages/pandas/io/excel/_base.py", line 1500, in __init__ + raise ValueError( + ValueError: Excel file format cannot be determined, you must specify an engine manually. + """ + working_memory = [ + Message(content=wrong_code, role="assistant"), + Message(content=error, role="user"), + ] + new_code = await WriteAnalysisCode().run( + user_requirement=user_requirement, + plan_status=plan_status, + working_memory=working_memory, + use_reflection=True, + ) + assert "read_csv" in new_code # should correct read_excel to read_csv diff --git a/tests/metagpt/actions/ci/test_write_plan.py b/tests/metagpt/actions/di/test_write_plan.py similarity index 68% rename from tests/metagpt/actions/ci/test_write_plan.py rename to tests/metagpt/actions/di/test_write_plan.py index 3eb80ca3e..cad0c8a71 100644 --- a/tests/metagpt/actions/ci/test_write_plan.py +++ b/tests/metagpt/actions/di/test_write_plan.py @@ -1,6 +1,6 @@ import pytest -from metagpt.actions.ci.write_plan import ( +from metagpt.actions.di.write_plan import ( Plan, Task, WritePlan, @@ -23,12 +23,10 @@ def test_precheck_update_plan_from_rsp(): @pytest.mark.asyncio -@pytest.mark.parametrize("use_tools", [(False), (True)]) -async def test_write_plan(use_tools): +async def test_write_plan(): rsp = await WritePlan().run( - context=[Message("run analysis on sklearn iris dataset", role="user")], use_tools=use_tools + context=[Message("Run data analysis on sklearn Iris dataset, include a plot", role="user")] ) assert "task_id" in rsp assert "instruction" in rsp - assert "json" not in rsp # the output should be the content inside ```json ``` diff --git a/tests/metagpt/actions/mock_json.py b/tests/metagpt/actions/mock_json.py index 875d74d3c..2b354ca6f 100644 --- a/tests/metagpt/actions/mock_json.py +++ b/tests/metagpt/actions/mock_json.py @@ -37,7 +37,7 @@ DESIGN = { } -TASKS = { +TASK = { "Required Python packages": ["pygame==2.0.1"], "Required Other language third-party packages": ["No third-party dependencies required"], "Logic Analysis": [ diff --git a/tests/metagpt/actions/test_design_api.py b/tests/metagpt/actions/test_design_api.py index 7d3efa7ff..9924a2e84 100644 --- a/tests/metagpt/actions/test_design_api.py +++ b/tests/metagpt/actions/test_design_api.py @@ -9,8 +9,10 @@ import pytest from metagpt.actions.design_api import WriteDesign +from metagpt.llm import LLM from metagpt.logs import logger from metagpt.schema import Message +from tests.data.incremental_dev_project.mock import DESIGN_SAMPLE, REFINED_PRD_JSON @pytest.mark.asyncio @@ -25,3 +27,16 @@ async def test_design_api(context): logger.info(result) assert result + + +@pytest.mark.asyncio +async def test_refined_design_api(context): + await context.repo.docs.prd.save(filename="1.txt", content=str(REFINED_PRD_JSON)) + await context.repo.docs.system_design.save(filename="1.txt", content=DESIGN_SAMPLE) + + design_api = WriteDesign(context=context, llm=LLM()) + + result = await design_api.run(Message(content="", instruct_content=None)) + logger.info(result) + + assert result diff --git a/tests/metagpt/actions/test_project_management.py b/tests/metagpt/actions/test_project_management.py index f3bb405ca..5d0d11efb 100644 --- a/tests/metagpt/actions/test_project_management.py +++ b/tests/metagpt/actions/test_project_management.py @@ -9,13 +9,19 @@ import pytest from metagpt.actions.project_management import WriteTasks +from metagpt.llm import LLM from metagpt.logs import logger from metagpt.schema import Message +from tests.data.incremental_dev_project.mock import ( + REFINED_DESIGN_JSON, + REFINED_PRD_JSON, + TASK_SAMPLE, +) from tests.metagpt.actions.mock_json import DESIGN, PRD @pytest.mark.asyncio -async def test_design_api(context): +async def test_task(context): await context.repo.docs.prd.save("1.txt", content=str(PRD)) await context.repo.docs.system_design.save("1.txt", content=str(DESIGN)) logger.info(context.git_repo) @@ -26,3 +32,19 @@ async def test_design_api(context): logger.info(result) assert result + + +@pytest.mark.asyncio +async def test_refined_task(context): + await context.repo.docs.prd.save("2.txt", content=str(REFINED_PRD_JSON)) + await context.repo.docs.system_design.save("2.txt", content=str(REFINED_DESIGN_JSON)) + await context.repo.docs.task.save("2.txt", content=TASK_SAMPLE) + + logger.info(context.git_repo) + + action = WriteTasks(context=context, llm=LLM()) + + result = await action.run(Message(content="", instruct_content=None)) + logger.info(result) + + assert result diff --git a/tests/metagpt/actions/test_project_management_an.py b/tests/metagpt/actions/test_project_management_an.py index ddbb56569..5a65e50c9 100644 --- a/tests/metagpt/actions/test_project_management_an.py +++ b/tests/metagpt/actions/test_project_management_an.py @@ -10,13 +10,14 @@ from openai._models import BaseModel from metagpt.actions.action_node import ActionNode, dict_to_markdown from metagpt.actions.project_management import NEW_REQ_TEMPLATE -from metagpt.actions.project_management_an import REFINED_PM_NODE +from metagpt.actions.project_management_an import PM_NODE, REFINED_PM_NODE from metagpt.llm import LLM from tests.data.incremental_dev_project.mock import ( REFINED_DESIGN_JSON, - REFINED_TASKS_JSON, - TASKS_SAMPLE, + REFINED_TASK_JSON, + TASK_SAMPLE, ) +from tests.metagpt.actions.mock_json import TASK @pytest.fixture() @@ -24,20 +25,40 @@ def llm(): return LLM() -def mock_refined_tasks_json(): - return REFINED_TASKS_JSON +def mock_refined_task_json(): + return REFINED_TASK_JSON + + +def mock_task_json(): + return TASK @pytest.mark.asyncio async def test_project_management_an(mocker): + root = ActionNode.from_children( + "ProjectManagement", [ActionNode(key="", expected_type=str, instruction="", example="")] + ) + root.instruct_content = BaseModel() + root.instruct_content.model_dump = mock_task_json + mocker.patch("metagpt.actions.project_management_an.PM_NODE.fill", return_value=root) + + node = await PM_NODE.fill(dict_to_markdown(REFINED_DESIGN_JSON), llm) + + assert "Logic Analysis" in node.instruct_content.model_dump() + assert "Task list" in node.instruct_content.model_dump() + assert "Shared Knowledge" in node.instruct_content.model_dump() + + +@pytest.mark.asyncio +async def test_project_management_an_inc(mocker): root = ActionNode.from_children( "RefinedProjectManagement", [ActionNode(key="", expected_type=str, instruction="", example="")] ) root.instruct_content = BaseModel() - root.instruct_content.model_dump = mock_refined_tasks_json + root.instruct_content.model_dump = mock_refined_task_json mocker.patch("metagpt.actions.project_management_an.REFINED_PM_NODE.fill", return_value=root) - prompt = NEW_REQ_TEMPLATE.format(old_task=TASKS_SAMPLE, context=dict_to_markdown(REFINED_DESIGN_JSON)) + prompt = NEW_REQ_TEMPLATE.format(old_task=TASK_SAMPLE, context=dict_to_markdown(REFINED_DESIGN_JSON)) node = await REFINED_PM_NODE.fill(prompt, llm) assert "Refined Logic Analysis" in node.instruct_content.model_dump() diff --git a/tests/metagpt/actions/test_rebuild_class_view.py b/tests/metagpt/actions/test_rebuild_class_view.py index 403109cc0..3731cd598 100644 --- a/tests/metagpt/actions/test_rebuild_class_view.py +++ b/tests/metagpt/actions/test_rebuild_class_view.py @@ -23,6 +23,8 @@ async def test_rebuild(context): context=context, ) await action.run() + rows = await action.graph_db.select() + assert rows assert context.repo.docs.graph_repo.changed_files @@ -45,6 +47,12 @@ def test_align_path(path, direction, diff, want): ("/Users/x/github/MetaGPT/metagpt", "/Users/x/github/MetaGPT/metagpt", "=", "."), ("/Users/x/github/MetaGPT", "/Users/x/github/MetaGPT/metagpt", "-", "metagpt"), ("/Users/x/github/MetaGPT/metagpt", "/Users/x/github/MetaGPT", "+", "metagpt"), + ( + "/Users/x/github/MetaGPT-env/lib/python3.9/site-packages/moviepy", + "/Users/x/github/MetaGPT-env/lib/python3.9/site-packages/", + "+", + "moviepy", + ), ], ) def test_diff_path(path_root, package_root, want_direction, want_diff): diff --git a/tests/metagpt/actions/test_rebuild_sequence_view.py b/tests/metagpt/actions/test_rebuild_sequence_view.py index e0e65c3cc..0e10e3776 100644 --- a/tests/metagpt/actions/test_rebuild_sequence_view.py +++ b/tests/metagpt/actions/test_rebuild_sequence_view.py @@ -4,6 +4,7 @@ @Time : 2024/1/4 @Author : mashenquan @File : test_rebuild_sequence_view.py +@Desc : Unit tests for reconstructing the sequence diagram from a source code project. """ from pathlib import Path @@ -14,25 +15,40 @@ from metagpt.const import GRAPH_REPO_FILE_REPO from metagpt.llm import LLM from metagpt.utils.common import aread from metagpt.utils.git_repository import ChangeType +from metagpt.utils.graph_repository import SPO @pytest.mark.asyncio -@pytest.mark.skip -async def test_rebuild(context): +async def test_rebuild(context, mocker): # Mock - data = await aread(filename=Path(__file__).parent / "../../data/graph_db/networkx.json") + data = await aread(filename=Path(__file__).parent / "../../data/graph_db/networkx.class_view.json") graph_db_filename = Path(context.repo.workdir.name).with_suffix(".json") await context.repo.docs.graph_repo.save(filename=str(graph_db_filename), content=data) context.git_repo.add_change({f"{GRAPH_REPO_FILE_REPO}/{graph_db_filename}": ChangeType.UNTRACTED}) context.git_repo.commit("commit1") + # mock_spo = SPO( + # subject="metagpt/startup.py:__name__:__main__", + # predicate="has_page_info", + # object_='{"lineno":78,"end_lineno":79,"type_name":"ast.If","tokens":["__name__","__main__"],"properties":{}}', + # ) + mock_spo = SPO( + subject="metagpt/management/skill_manager.py:__name__:__main__", + predicate="has_page_info", + object_='{"lineno":113,"end_lineno":116,"type_name":"ast.If","tokens":["__name__","__main__"],"properties":{}}', + ) + mocker.patch.object(RebuildSequenceView, "_search_main_entry", return_value=[mock_spo]) action = RebuildSequenceView( name="RedBean", - i_context=str(Path(__file__).parent.parent.parent.parent / "metagpt"), + i_context=str( + Path(__file__).parent.parent.parent.parent / "metagpt/management/skill_manager.py:__name__:__main__" + ), llm=LLM(), context=context, ) await action.run() + rows = await action.graph_db.select() + assert rows assert context.repo.docs.graph_repo.changed_files diff --git a/tests/metagpt/actions/test_summarize_code.py b/tests/metagpt/actions/test_summarize_code.py index a404047c1..89ddab7bc 100644 --- a/tests/metagpt/actions/test_summarize_code.py +++ b/tests/metagpt/actions/test_summarize_code.py @@ -6,14 +6,13 @@ @File : test_summarize_code.py @Modifiled By: mashenquan, 2023-12-6. Unit test for summarize_code.py """ -import uuid -from pathlib import Path import pytest from metagpt.actions.summarize_code import SummarizeCode from metagpt.logs import logger from metagpt.schema import CodeSummarizeContext +from tests.mock.mock_llm import MockLLM DESIGN_CONTENT = """ {"Implementation approach": "To develop this snake game, we will use the Python language and choose the Pygame library. Pygame is an open-source Python module collection specifically designed for writing video games. It provides functionalities such as displaying images and playing sounds, making it suitable for creating intuitive and responsive user interfaces. We will ensure efficient game logic to prevent any delays during gameplay. The scoring system will be simple, with the snake gaining points for each food it eats. We will use Pygame's event handling system to implement pause and resume functionality, as well as high-score tracking. The difficulty will increase by speeding up the snake's movement. In the initial version, we will focus on single-player mode and consider adding multiplayer mode and customizable skins in future updates. Based on the new requirement, we will also add a moving obstacle that appears randomly. If the snake eats this obstacle, the game will end. If the snake does not eat the obstacle, it will disappear after 5 seconds. For this, we need to add mechanisms for obstacle generation, movement, and disappearance in the game logic.", "Project_name": "snake_game", "File list": ["main.py", "game.py", "snake.py", "food.py", "obstacle.py", "scoreboard.py", "constants.py", "assets/styles.css", "assets/index.html"], "Data structures and interfaces": "```mermaid\n classDiagram\n class Game{\n +int score\n +int speed\n +bool game_over\n +bool paused\n +Snake snake\n +Food food\n +Obstacle obstacle\n +Scoreboard scoreboard\n +start_game() void\n +pause_game() void\n +resume_game() void\n +end_game() void\n +increase_difficulty() void\n +update() void\n +render() void\n Game()\n }\n class Snake{\n +list body_parts\n +str direction\n +bool grow\n +move() void\n +grow() void\n +check_collision() bool\n Snake()\n }\n class Food{\n +tuple position\n +spawn() void\n Food()\n }\n class Obstacle{\n +tuple position\n +int lifetime\n +bool active\n +spawn() void\n +move() void\n +check_collision() bool\n +disappear() void\n Obstacle()\n }\n class Scoreboard{\n +int high_score\n +update_score(int) void\n +reset_score() void\n +load_high_score() void\n +save_high_score() void\n Scoreboard()\n }\n class Constants{\n }\n Game \"1\" -- \"1\" Snake: has\n Game \"1\" -- \"1\" Food: has\n Game \"1\" -- \"1\" Obstacle: has\n Game \"1\" -- \"1\" Scoreboard: has\n ```", "Program call flow": "```sequenceDiagram\n participant M as Main\n participant G as Game\n participant S as Snake\n participant F as Food\n participant O as Obstacle\n participant SB as Scoreboard\n M->>G: start_game()\n loop game loop\n G->>S: move()\n G->>S: check_collision()\n G->>F: spawn()\n G->>O: spawn()\n G->>O: move()\n G->>O: check_collision()\n G->>O: disappear()\n G->>SB: update_score(score)\n G->>G: update()\n G->>G: render()\n alt if paused\n M->>G: pause_game()\n M->>G: resume_game()\n end\n alt if game_over\n G->>M: end_game()\n end\n end\n```", "Anything UNCLEAR": "There is no need for further clarification as the requirements are already clear."} @@ -175,12 +174,87 @@ class Snake: """ +mock_rsp = """ +```mermaid +classDiagram + class Game{ + +int score + +int level + +Snake snake + +Food food + +start_game() void + +initialize_game() void + +game_loop() void + +update() void + +draw() void + +handle_events() void + +check_collision() void + +increase_score() void + +increase_level() void + +game_over() void + Game() + } + class Snake{ + +list body + +tuple direction + +move() void + +change_direction(direction: str) void + +grow() void + +get_head() tuple + +get_body() list + Snake() + } + class Food{ + +tuple position + +generate() void + +get_position() tuple + Food() + } + Game "1" -- "1" Snake: has + Game "1" -- "1" Food: has +``` + +```sequenceDiagram +participant M as Main +participant G as Game +participant S as Snake +participant F as Food +M->>G: start_game() +G->>G: initialize_game() +G->>G: game_loop() +G->>S: move() +G->>S: change_direction() +G->>S: grow() +G->>F: generate() +S->>S: move() +S->>S: change_direction() +S->>S: grow() +F->>F: generate() +``` + +## Summary +The code consists of the main game logic, including the Game, Snake, and Food classes. The game loop is responsible for updating and drawing the game elements, handling events, checking collisions, and managing the game state. The Snake class handles the movement, growth, and direction changes of the snake, while the Food class is responsible for generating and tracking the position of food items. + +## TODOs +- Modify 'game.py' to add the implementation of obstacle handling and interaction with the game loop. +- Implement 'obstacle.py' to include the methods for spawning, moving, and disappearing of obstacles, as well as collision detection with the snake. +- Update 'main.py' to initialize the obstacle and incorporate it into the game loop. +- Update the mermaid call flow diagram to include the interaction with the obstacle. + +```python +{ + "files_to_modify": { + "game.py": "Add obstacle handling and interaction with the game loop", + "obstacle.py": "Implement obstacle class with necessary methods", + "main.py": "Initialize the obstacle and incorporate it into the game loop" + } +} +``` +""" + @pytest.mark.asyncio -async def test_summarize_code(context): - git_dir = Path(__file__).parent / f"unittest/{uuid.uuid4().hex}" - git_dir.mkdir(parents=True, exist_ok=True) - +async def test_summarize_code(context, mocker): context.src_workspace = context.git_repo.workdir / "src" await context.repo.docs.system_design.save(filename="1.json", content=DESIGN_CONTENT) await context.repo.docs.task.save(filename="1.json", content=TASK_CONTENT) @@ -189,6 +263,7 @@ async def test_summarize_code(context): await context.repo.srcs.save(filename="game.py", content=GAME_PY) await context.repo.srcs.save(filename="main.py", content=MAIN_PY) await context.repo.srcs.save(filename="snake.py", content=SNAKE_PY) + mocker.patch.object(MockLLM, "_mock_rsp", return_value=mock_rsp) all_files = context.repo.srcs.all_files summarization_context = CodeSummarizeContext( diff --git a/tests/metagpt/actions/test_write_code.py b/tests/metagpt/actions/test_write_code.py index ee05e0f7d..1709e1f5b 100644 --- a/tests/metagpt/actions/test_write_code.py +++ b/tests/metagpt/actions/test_write_code.py @@ -6,7 +6,7 @@ @File : test_write_code.py @Modifiled By: mashenquan, 2023-12-6. According to RFC 135 """ - +import json from pathlib import Path import pytest @@ -14,10 +14,27 @@ import pytest from metagpt.actions.write_code import WriteCode from metagpt.logs import logger from metagpt.schema import CodingContext, Document -from metagpt.utils.common import aread +from metagpt.utils.common import CodeParser, aread +from tests.data.incremental_dev_project.mock import ( + CODE_PLAN_AND_CHANGE_SAMPLE, + REFINED_CODE_INPUT_SAMPLE, + REFINED_DESIGN_JSON, + REFINED_TASK_JSON, +) from tests.metagpt.actions.mock_markdown import TASKS_2, WRITE_CODE_PROMPT_SAMPLE +def setup_inc_workdir(context, inc: bool = False): + """setup incremental workdir for testing""" + context.src_workspace = context.git_repo.workdir / "src" + if inc: + context.config.inc = inc + context.repo.old_workspace = context.repo.git_repo.workdir / "old" + context.config.project_path = "old" + + return context + + @pytest.mark.asyncio async def test_write_code(context): # Prerequisites @@ -81,5 +98,66 @@ async def test_write_code_deps(context): assert rsp.code_doc.content +@pytest.mark.asyncio +async def test_write_refined_code(context, git_dir): + # Prerequisites + context = setup_inc_workdir(context, inc=True) + await context.repo.docs.system_design.save(filename="1.json", content=json.dumps(REFINED_DESIGN_JSON)) + await context.repo.docs.task.save(filename="1.json", content=json.dumps(REFINED_TASK_JSON)) + await context.repo.docs.code_plan_and_change.save( + filename="1.json", content=json.dumps(CODE_PLAN_AND_CHANGE_SAMPLE) + ) + + # old_workspace contains the legacy code + await context.repo.with_src_path(context.repo.old_workspace).srcs.save( + filename="game.py", content=CodeParser.parse_code(block="", text=REFINED_CODE_INPUT_SAMPLE) + ) + + ccontext = CodingContext( + filename="game.py", + design_doc=await context.repo.docs.system_design.get(filename="1.json"), + task_doc=await context.repo.docs.task.get(filename="1.json"), + code_plan_and_change_doc=await context.repo.docs.code_plan_and_change.get(filename="1.json"), + code_doc=Document(filename="game.py", content="", root_path="src"), + ) + coding_doc = Document(root_path="src", filename="game.py", content=ccontext.json()) + + action = WriteCode(i_context=coding_doc, context=context) + rsp = await action.run() + assert rsp + assert rsp.code_doc.content + + +@pytest.mark.asyncio +async def test_get_codes(context): + # Prerequisites + context = setup_inc_workdir(context, inc=True) + for filename in ["game.py", "ui.py"]: + await context.repo.with_src_path(context.src_workspace).srcs.save( + filename=filename, content=f"# {filename}\nnew code ..." + ) + await context.repo.with_src_path(context.repo.old_workspace).srcs.save( + filename=filename, content=f"# {filename}\nlegacy code ..." + ) + + await context.repo.with_src_path(context.repo.old_workspace).srcs.save( + filename="gui.py", content="# gui.py\nlegacy code ..." + ) + await context.repo.with_src_path(context.repo.old_workspace).srcs.save( + filename="main.py", content='# main.py\nif __name__ == "__main__":\n main()' + ) + task_doc = Document(filename="1.json", content=json.dumps(REFINED_TASK_JSON)) + + context.repo = context.repo.with_src_path(context.src_workspace) + # Ready to write gui.py + codes = await WriteCode.get_codes(task_doc=task_doc, exclude="gui.py", project_repo=context.repo) + codes_inc = await WriteCode.get_codes(task_doc=task_doc, exclude="gui.py", project_repo=context.repo, use_inc=True) + + logger.info(codes) + logger.info(codes_inc) + assert codes + assert codes_inc + + if __name__ == "__main__": pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/actions/test_write_code_plan_and_change_an.py b/tests/metagpt/actions/test_write_code_plan_and_change_an.py index 9cd51398f..5c262b4b7 100644 --- a/tests/metagpt/actions/test_write_code_plan_and_change_an.py +++ b/tests/metagpt/actions/test_write_code_plan_and_change_an.py @@ -5,6 +5,8 @@ @Author : mannaandpoem @File : test_write_code_plan_and_change_an.py """ +import json + import pytest from openai._models import BaseModel @@ -14,15 +16,21 @@ from metagpt.actions.write_code_plan_and_change_an import ( REFINED_TEMPLATE, WriteCodePlanAndChange, ) +from metagpt.logs import logger from metagpt.schema import CodePlanAndChangeContext +from metagpt.utils.common import CodeParser from tests.data.incremental_dev_project.mock import ( CODE_PLAN_AND_CHANGE_SAMPLE, DESIGN_SAMPLE, NEW_REQUIREMENT_SAMPLE, REFINED_CODE_INPUT_SAMPLE, REFINED_CODE_SAMPLE, - TASKS_SAMPLE, + REFINED_DESIGN_JSON, + REFINED_PRD_JSON, + REFINED_TASK_JSON, + TASK_SAMPLE, ) +from tests.metagpt.actions.test_write_code import setup_inc_workdir def mock_code_plan_and_change(): @@ -30,27 +38,35 @@ def mock_code_plan_and_change(): @pytest.mark.asyncio -async def test_write_code_plan_and_change_an(mocker): +async def test_write_code_plan_and_change_an(mocker, context, git_dir): + context = setup_inc_workdir(context, inc=True) + await context.repo.docs.prd.save(filename="2.json", content=json.dumps(REFINED_PRD_JSON)) + await context.repo.docs.system_design.save(filename="2.json", content=json.dumps(REFINED_DESIGN_JSON)) + await context.repo.docs.task.save(filename="2.json", content=json.dumps(REFINED_TASK_JSON)) + + await context.repo.with_src_path(context.repo.old_workspace).srcs.save( + filename="game.py", content=CodeParser.parse_code(block="", text=REFINED_CODE_INPUT_SAMPLE) + ) + root = ActionNode.from_children( "WriteCodePlanAndChange", [ActionNode(key="", expected_type=str, instruction="", example="")] ) root.instruct_content = BaseModel() root.instruct_content.model_dump = mock_code_plan_and_change - mocker.patch("metagpt.actions.write_code_plan_and_change_an.WriteCodePlanAndChange.run", return_value=root) - - requirement = "New requirement" - prd_filename = "prd.md" - design_filename = "design.md" - task_filename = "task.md" - code_plan_and_change_context = CodePlanAndChangeContext( - requirement=requirement, - prd_filename=prd_filename, - design_filename=design_filename, - task_filename=task_filename, + mocker.patch( + "metagpt.actions.write_code_plan_and_change_an.WRITE_CODE_PLAN_AND_CHANGE_NODE.fill", return_value=root ) - node = await WriteCodePlanAndChange(i_context=code_plan_and_change_context).run() - assert "Code Plan And Change" in node.instruct_content.model_dump() + code_plan_and_change_context = CodePlanAndChangeContext( + requirement="New requirement", + prd_filename="2.json", + design_filename="2.json", + task_filename="2.json", + ) + node = await WriteCodePlanAndChange(i_context=code_plan_and_change_context, context=context).run() + + assert "Development Plan" in node.instruct_content.model_dump() + assert "Incremental Change" in node.instruct_content.model_dump() @pytest.mark.asyncio @@ -60,7 +76,7 @@ async def test_refine_code(mocker): user_requirement=NEW_REQUIREMENT_SAMPLE, code_plan_and_change=CODE_PLAN_AND_CHANGE_SAMPLE, design=DESIGN_SAMPLE, - task=TASKS_SAMPLE, + task=TASK_SAMPLE, code=REFINED_CODE_INPUT_SAMPLE, logs="", feedback="", @@ -69,3 +85,25 @@ async def test_refine_code(mocker): ) code = await WriteCode().write_code(prompt=prompt) assert "def" in code + + +@pytest.mark.asyncio +async def test_get_old_code(context, git_dir): + context = setup_inc_workdir(context, inc=True) + await context.repo.with_src_path(context.repo.old_workspace).srcs.save( + filename="game.py", content=REFINED_CODE_INPUT_SAMPLE + ) + + code_plan_and_change_context = CodePlanAndChangeContext( + requirement="New requirement", + prd_filename="1.json", + design_filename="1.json", + task_filename="1.json", + ) + action = WriteCodePlanAndChange(context=context, i_context=code_plan_and_change_context) + + old_codes = await action.get_old_codes() + logger.info(old_codes) + + assert "def" in old_codes + assert "class" in old_codes diff --git a/tests/metagpt/actions/test_write_code_review.py b/tests/metagpt/actions/test_write_code_review.py index a08dd07bc..047d5e6ca 100644 --- a/tests/metagpt/actions/test_write_code_review.py +++ b/tests/metagpt/actions/test_write_code_review.py @@ -32,5 +32,28 @@ def add(a, b): print(f"输出内容: {captured.out}") +@pytest.mark.asyncio +async def test_write_code_review_inc(capfd, context): + context.src_workspace = context.repo.workdir / "srcs" + context.config.inc = True + code = """ + def add(a, b): + return a + + """ + code_plan_and_change = """ + def add(a, b): +- return a + ++ return a + b + """ + coding_context = CodingContext( + filename="math.py", + design_doc=Document(content="编写一个从a加b的函数，返回a+b"), + code_doc=Document(content=code), + code_plan_and_change_doc=Document(content=code_plan_and_change), + ) + + await WriteCodeReview(i_context=coding_context, context=context).run() + + if __name__ == "__main__": pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/actions/test_write_prd.py b/tests/metagpt/actions/test_write_prd.py index 31d20018e..43aa336b7 100644 --- a/tests/metagpt/actions/test_write_prd.py +++ b/tests/metagpt/actions/test_write_prd.py @@ -6,6 +6,7 @@ @File : test_write_prd.py @Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, replace `handle` with `run`. """ + import pytest from metagpt.actions import UserRequirement, WritePRD @@ -15,6 +16,8 @@ from metagpt.roles.product_manager import ProductManager from metagpt.roles.role import RoleReactMode from metagpt.schema import Message from metagpt.utils.common import any_to_str +from tests.data.incremental_dev_project.mock import NEW_REQUIREMENT_SAMPLE, PRD_SAMPLE +from tests.metagpt.actions.test_write_code import setup_inc_workdir @pytest.mark.asyncio @@ -34,5 +37,41 @@ async def test_write_prd(new_filename, context): assert product_manager.context.repo.docs.prd.changed_files +@pytest.mark.asyncio +async def test_write_prd_inc(new_filename, context, git_dir): + context = setup_inc_workdir(context, inc=True) + await context.repo.docs.prd.save("1.txt", PRD_SAMPLE) + await context.repo.docs.save(filename=REQUIREMENT_FILENAME, content=NEW_REQUIREMENT_SAMPLE) + + action = WritePRD(context=context) + prd = await action.run(Message(content=NEW_REQUIREMENT_SAMPLE, instruct_content=None)) + logger.info(NEW_REQUIREMENT_SAMPLE) + logger.info(prd) + + # Assert the prd is not None or empty + assert prd is not None + assert prd.content != "" + assert "Refined Requirements" in prd.content + + +@pytest.mark.asyncio +async def test_fix_debug(new_filename, context, git_dir): + context.src_workspace = context.git_repo.workdir / context.git_repo.workdir.name + + await context.repo.with_src_path(context.src_workspace).srcs.save( + filename="main.py", content='if __name__ == "__main__":\nmain()' + ) + requirements = "Please fix the bug in the code." + await context.repo.docs.save(filename=REQUIREMENT_FILENAME, content=requirements) + action = WritePRD(context=context) + + prd = await action.run(Message(content=requirements, instruct_content=None)) + logger.info(prd) + + # Assert the prd is not None or empty + assert prd is not None + assert prd.content != "" + + if __name__ == "__main__": pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/document_store/test_chromadb_store.py b/tests/metagpt/document_store/test_chromadb_store.py index fd115dcdd..70b30d814 100644 --- a/tests/metagpt/document_store/test_chromadb_store.py +++ b/tests/metagpt/document_store/test_chromadb_store.py @@ -12,7 +12,7 @@ from metagpt.document_store.chromadb_store import ChromaStore def test_chroma_store(): """FIXME：chroma使用感觉很诡异，一用Python就挂，测试用例里也是""" # 创建 ChromaStore 实例，使用 'sample_collection' 集合 - document_store = ChromaStore("sample_collection_1") + document_store = ChromaStore("sample_collection_1", get_or_create=True) # 使用 write 方法添加多个文档 document_store.write( diff --git a/tests/metagpt/document_store/test_faiss_store.py b/tests/metagpt/document_store/test_faiss_store.py index 7e2979bd4..a93b5f145 100644 --- a/tests/metagpt/document_store/test_faiss_store.py +++ b/tests/metagpt/document_store/test_faiss_store.py @@ -6,6 +6,7 @@ @File : test_faiss_store.py """ +import numpy as np import pytest from metagpt.const import EXAMPLE_PATH @@ -14,9 +15,24 @@ from metagpt.logs import logger from metagpt.roles import Sales +def mock_openai_embed_documents(self, texts: list[str], show_progress: bool = False) -> list[list[float]]: + num = len(texts) + embeds = np.random.randint(1, 100, size=(num, 1536)) # 1536: openai embedding dim + embeds = (embeds - embeds.mean(axis=0)) / embeds.std(axis=0) + return embeds.tolist() + + +def mock_openai_embed_document(self, text: str) -> list[float]: + embeds = mock_openai_embed_documents(self, [text]) + return embeds[0] + + @pytest.mark.asyncio -async def test_search_json(): - store = FaissStore(EXAMPLE_PATH / "example.json") +async def test_search_json(mocker): + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embeddings", mock_openai_embed_documents) + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embedding", mock_openai_embed_document) + + store = FaissStore(EXAMPLE_PATH / "data/search_kb/example.json") role = Sales(profile="Sales", store=store) query = "Which facial cleanser is good for oily skin?" result = await role.run(query) @@ -24,8 +40,11 @@ async def test_search_json(): @pytest.mark.asyncio -async def test_search_xlsx(): - store = FaissStore(EXAMPLE_PATH / "example.xlsx") +async def test_search_xlsx(mocker): + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embeddings", mock_openai_embed_documents) + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embedding", mock_openai_embed_document) + + store = FaissStore(EXAMPLE_PATH / "data/search_kb/example.xlsx", meta_col="Answer", content_col="Question") role = Sales(profile="Sales", store=store) query = "Which facial cleanser is good for oily skin?" result = await role.run(query) @@ -33,8 +52,11 @@ async def test_search_xlsx(): @pytest.mark.asyncio -async def test_write(): - store = FaissStore(EXAMPLE_PATH / "example.xlsx", meta_col="Answer", content_col="Question") +async def test_write(mocker): + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embeddings", mock_openai_embed_documents) + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embedding", mock_openai_embed_document) + + store = FaissStore(EXAMPLE_PATH / "data/search_kb/example.xlsx", meta_col="Answer", content_col="Question") _faiss_store = store.write() - assert _faiss_store.docstore - assert _faiss_store.index + assert _faiss_store.storage_context.docstore + assert _faiss_store.storage_context.vector_store.client diff --git a/tests/metagpt/environment/mincraft_env/test_mincraft_ext_env.py b/tests/metagpt/environment/mincraft_env/test_mincraft_ext_env.py deleted file mode 100644 index ad3376141..000000000 --- a/tests/metagpt/environment/mincraft_env/test_mincraft_ext_env.py +++ /dev/null @@ -1,14 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : the unittest of MincraftExtEnv - - -from metagpt.environment.mincraft_env.const import MC_CKPT_DIR -from metagpt.environment.mincraft_env.mincraft_ext_env import MincraftExtEnv - - -def test_mincraft_ext_env(): - ext_env = MincraftExtEnv() - assert ext_env.server, f"{ext_env.server_host}:{ext_env.server_port}" - assert MC_CKPT_DIR.joinpath("skill/code").exists() - assert ext_env.warm_up.get("optional_inventory_items") == 7 diff --git a/tests/metagpt/environment/mincraft_env/__init__.py b/tests/metagpt/environment/minecraft_env/__init__.py similarity index 100% rename from tests/metagpt/environment/mincraft_env/__init__.py rename to tests/metagpt/environment/minecraft_env/__init__.py diff --git a/tests/metagpt/environment/minecraft_env/test_minecraft_ext_env.py b/tests/metagpt/environment/minecraft_env/test_minecraft_ext_env.py new file mode 100644 index 000000000..ed08b719f --- /dev/null +++ b/tests/metagpt/environment/minecraft_env/test_minecraft_ext_env.py @@ -0,0 +1,14 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : the unittest of MinecraftExtEnv + + +from metagpt.environment.minecraft_env.const import MC_CKPT_DIR +from metagpt.environment.minecraft_env.minecraft_ext_env import MinecraftExtEnv + + +def test_minecraft_ext_env(): + ext_env = MinecraftExtEnv() + assert ext_env.server, f"{ext_env.server_host}:{ext_env.server_port}" + assert MC_CKPT_DIR.joinpath("skill/code").exists() + assert ext_env.warm_up.get("optional_inventory_items") == 7 diff --git a/tests/metagpt/memory/mock_text_embed.py b/tests/metagpt/memory/mock_text_embed.py new file mode 100644 index 000000000..2f3ffc434 --- /dev/null +++ b/tests/metagpt/memory/mock_text_embed.py @@ -0,0 +1,42 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : + +import numpy as np + +dim = 1536 # openai embedding dim +embed_zeros_arrr = np.zeros(shape=[1, dim]).tolist() +embed_ones_arrr = np.ones(shape=[1, dim]).tolist() + +text_embed_arr = [ + {"text": "Write a cli snake game", "embed": embed_zeros_arrr}, # mock data, same as below + {"text": "Write a game of cli snake", "embed": embed_zeros_arrr}, + {"text": "Write a 2048 web game", "embed": embed_ones_arrr}, + {"text": "Write a Battle City", "embed": embed_ones_arrr}, + { + "text": "The user has requested the creation of a command-line interface (CLI) snake game", + "embed": embed_zeros_arrr, + }, + {"text": "The request is command-line interface (CLI) snake game", "embed": embed_zeros_arrr}, + { + "text": "Incorporate basic features of a snake game such as scoring and increasing difficulty", + "embed": embed_ones_arrr, + }, +] + +text_idx_dict = {item["text"]: idx for idx, item in enumerate(text_embed_arr)} + + +def mock_openai_embed_documents(self, texts: list[str], show_progress: bool = False) -> list[list[float]]: + idx = text_idx_dict.get(texts[0]) + embed = text_embed_arr[idx].get("embed") + return embed + + +def mock_openai_embed_document(self, text: str) -> list[float]: + embeds = mock_openai_embed_documents(self, [text]) + return embeds[0] + + +async def mock_openai_aembed_document(self, text: str) -> list[float]: + return mock_openai_embed_document(self, text) diff --git a/tests/metagpt/memory/test_longterm_memory.py b/tests/metagpt/memory/test_longterm_memory.py index 5c71ddd13..990017fee 100644 --- a/tests/metagpt/memory/test_longterm_memory.py +++ b/tests/metagpt/memory/test_longterm_memory.py @@ -4,20 +4,29 @@ @Desc : unittest of `metagpt/memory/longterm_memory.py` """ -import os import pytest from metagpt.actions import UserRequirement -from metagpt.config2 import config from metagpt.memory.longterm_memory import LongTermMemory from metagpt.roles.role import RoleContext from metagpt.schema import Message - -os.environ.setdefault("OPENAI_API_KEY", config.get_openai_llm().api_key) +from tests.metagpt.memory.mock_text_embed import ( + mock_openai_aembed_document, + mock_openai_embed_document, + mock_openai_embed_documents, + text_embed_arr, +) -def test_ltm_search(): +@pytest.mark.asyncio +async def test_ltm_search(mocker): + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embeddings", mock_openai_embed_documents) + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embedding", mock_openai_embed_document) + mocker.patch( + "llama_index.embeddings.openai.base.OpenAIEmbedding._aget_query_embedding", mock_openai_aembed_document + ) + role_id = "UTUserLtm(Product Manager)" from metagpt.environment import Environment @@ -27,41 +36,26 @@ def test_ltm_search(): ltm = LongTermMemory() ltm.recover_memory(role_id, rc) - idea = "Write a cli snake game" + idea = text_embed_arr[0].get("text", "Write a cli snake game") message = Message(role="User", content=idea, cause_by=UserRequirement) - news = ltm.find_news([message]) + news = await ltm.find_news([message]) assert len(news) == 1 ltm.add(message) - sim_idea = "Write a game of cli snake" + sim_idea = text_embed_arr[1].get("text", "Write a game of cli snake") sim_message = Message(role="User", content=sim_idea, cause_by=UserRequirement) - news = ltm.find_news([sim_message]) + news = await ltm.find_news([sim_message]) assert len(news) == 0 ltm.add(sim_message) - new_idea = "Write a 2048 web game" + new_idea = text_embed_arr[2].get("text", "Write a 2048 web game") new_message = Message(role="User", content=new_idea, cause_by=UserRequirement) - news = ltm.find_news([new_message]) + news = await ltm.find_news([new_message]) assert len(news) == 1 ltm.add(new_message) - # restore from local index - ltm_new = LongTermMemory() - ltm_new.recover_memory(role_id, rc) - news = ltm_new.find_news([message]) - assert len(news) == 0 - - ltm_new.recover_memory(role_id, rc) - news = ltm_new.find_news([sim_message]) - assert len(news) == 0 - - new_idea = "Write a Battle City" - new_message = Message(role="User", content=new_idea, cause_by=UserRequirement) - news = ltm_new.find_news([new_message]) - assert len(news) == 1 - - ltm_new.clear() + ltm.clear() if __name__ == "__main__": diff --git a/tests/metagpt/memory/test_memory_storage.py b/tests/metagpt/memory/test_memory_storage.py index e82a82fc8..09671aaab 100644 --- a/tests/metagpt/memory/test_memory_storage.py +++ b/tests/metagpt/memory/test_memory_storage.py @@ -4,56 +4,75 @@ @Desc : the unittests of metagpt/memory/memory_storage.py """ -import os import shutil from pathlib import Path from typing import List +import pytest + from metagpt.actions import UserRequirement, WritePRD from metagpt.actions.action_node import ActionNode -from metagpt.config2 import config from metagpt.const import DATA_PATH from metagpt.memory.memory_storage import MemoryStorage from metagpt.schema import Message - -os.environ.setdefault("OPENAI_API_KEY", config.get_openai_llm().api_key) +from tests.metagpt.memory.mock_text_embed import ( + mock_openai_aembed_document, + mock_openai_embed_document, + mock_openai_embed_documents, + text_embed_arr, +) -def test_idea_message(): - idea = "Write a cli snake game" +@pytest.mark.asyncio +async def test_idea_message(mocker): + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embeddings", mock_openai_embed_documents) + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embedding", mock_openai_embed_document) + mocker.patch( + "llama_index.embeddings.openai.base.OpenAIEmbedding._aget_query_embedding", mock_openai_aembed_document + ) + + idea = text_embed_arr[0].get("text", "Write a cli snake game") role_id = "UTUser1(Product Manager)" message = Message(role="User", content=idea, cause_by=UserRequirement) shutil.rmtree(Path(DATA_PATH / f"role_mem/{role_id}/"), ignore_errors=True) memory_storage: MemoryStorage = MemoryStorage() - messages = memory_storage.recover_memory(role_id) - assert len(messages) == 0 + memory_storage.recover_memory(role_id) memory_storage.add(message) assert memory_storage.is_initialized is True - sim_idea = "Write a game of cli snake" + sim_idea = text_embed_arr[1].get("text", "Write a game of cli snake") sim_message = Message(role="User", content=sim_idea, cause_by=UserRequirement) - new_messages = memory_storage.search_dissimilar(sim_message) - assert len(new_messages) == 0 # similar, return [] + new_messages = await memory_storage.search_similar(sim_message) + assert len(new_messages) == 1 # similar, return [] - new_idea = "Write a 2048 web game" + new_idea = text_embed_arr[2].get("text", "Write a 2048 web game") new_message = Message(role="User", content=new_idea, cause_by=UserRequirement) - new_messages = memory_storage.search_dissimilar(new_message) - assert new_messages[0].content == message.content + new_messages = await memory_storage.search_similar(new_message) + assert len(new_messages) == 0 memory_storage.clean() assert memory_storage.is_initialized is False -def test_actionout_message(): +@pytest.mark.asyncio +async def test_actionout_message(mocker): + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embeddings", mock_openai_embed_documents) + mocker.patch("llama_index.embeddings.openai.base.OpenAIEmbedding._get_text_embedding", mock_openai_embed_document) + mocker.patch( + "llama_index.embeddings.openai.base.OpenAIEmbedding._aget_query_embedding", mock_openai_aembed_document + ) + out_mapping = {"field1": (str, ...), "field2": (List[str], ...)} out_data = {"field1": "field1 value", "field2": ["field2 value1", "field2 value2"]} ic_obj = ActionNode.create_model_class("prd", out_mapping) role_id = "UTUser2(Architect)" - content = "The user has requested the creation of a command-line interface (CLI) snake game" + content = text_embed_arr[4].get( + "text", "The user has requested the creation of a command-line interface (CLI) snake game" + ) message = Message( content=content, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD ) # WritePRD as test action @@ -61,21 +80,22 @@ def test_actionout_message(): shutil.rmtree(Path(DATA_PATH / f"role_mem/{role_id}/"), ignore_errors=True) memory_storage: MemoryStorage = MemoryStorage() - messages = memory_storage.recover_memory(role_id) - assert len(messages) == 0 + memory_storage.recover_memory(role_id) memory_storage.add(message) assert memory_storage.is_initialized is True - sim_conent = "The request is command-line interface (CLI) snake game" + sim_conent = text_embed_arr[5].get("text", "The request is command-line interface (CLI) snake game") sim_message = Message(content=sim_conent, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD) - new_messages = memory_storage.search_dissimilar(sim_message) - assert len(new_messages) == 0 # similar, return [] + new_messages = await memory_storage.search_similar(sim_message) + assert len(new_messages) == 1 # similar, return [] - new_conent = "Incorporate basic features of a snake game such as scoring and increasing difficulty" + new_conent = text_embed_arr[6].get( + "text", "Incorporate basic features of a snake game such as scoring and increasing difficulty" + ) new_message = Message(content=new_conent, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD) - new_messages = memory_storage.search_dissimilar(new_message) - assert new_messages[0].content == message.content + new_messages = await memory_storage.search_similar(new_message) + assert len(new_messages) == 0 memory_storage.clean() assert memory_storage.is_initialized is False diff --git a/tests/metagpt/provider/mock_llm_config.py b/tests/metagpt/provider/mock_llm_config.py index e2f626a6a..0c56cc8ea 100644 --- a/tests/metagpt/provider/mock_llm_config.py +++ b/tests/metagpt/provider/mock_llm_config.py @@ -42,3 +42,21 @@ mock_llm_config_zhipu = LLMConfig( model="mock_zhipu_model", proxy="http://localhost:8080", ) + + +mock_llm_config_spark = LLMConfig( + api_type="spark", + app_id="xxx", + api_key="xxx", + api_secret="xxx", + domain="generalv2", + base_url="wss://spark-api.xf-yun.com/v3.1/chat", +) + +mock_llm_config_qianfan = LLMConfig(api_type="qianfan", access_key="xxx", secret_key="xxx", model="ERNIE-Bot-turbo") + +mock_llm_config_dashscope = LLMConfig(api_type="dashscope", api_key="xxx", model="qwen-max") + +mock_llm_config_anthropic = LLMConfig( + api_type="anthropic", api_key="xxx", base_url="https://api.anthropic.com", model="claude-3-opus-20240229" +) diff --git a/tests/metagpt/provider/req_resp_const.py b/tests/metagpt/provider/req_resp_const.py new file mode 100644 index 000000000..7e4c1a49c --- /dev/null +++ b/tests/metagpt/provider/req_resp_const.py @@ -0,0 +1,185 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : default request & response data for provider unittest + + +from anthropic.types import ( + ContentBlock, + ContentBlockDeltaEvent, + Message, + MessageStartEvent, + TextDelta, +) +from anthropic.types import Usage as AnthropicUsage +from dashscope.api_entities.dashscope_response import ( + DashScopeAPIResponse, + GenerationOutput, + GenerationResponse, + GenerationUsage, +) +from openai.types.chat.chat_completion import ( + ChatCompletion, + ChatCompletionMessage, + Choice, +) +from openai.types.chat.chat_completion_chunk import ChatCompletionChunk +from openai.types.chat.chat_completion_chunk import Choice as AChoice +from openai.types.chat.chat_completion_chunk import ChoiceDelta +from openai.types.completion_usage import CompletionUsage +from qianfan.resources.typing import QfResponse + +from metagpt.provider.base_llm import BaseLLM + +prompt = "who are you?" +messages = [{"role": "user", "content": prompt}] + +resp_cont_tmpl = "I'm {name}" +default_resp_cont = resp_cont_tmpl.format(name="GPT") + + +# part of whole ChatCompletion of openai like structure +def get_part_chat_completion(name: str) -> dict: + part_chat_completion = { + "choices": [ + { + "index": 0, + "message": { + "role": "assistant", + "content": resp_cont_tmpl.format(name=name), + }, + "finish_reason": "stop", + } + ], + "usage": {"completion_tokens": 22, "prompt_tokens": 19, "total_tokens": 41}, + } + return part_chat_completion + + +def get_openai_chat_completion(name: str) -> ChatCompletion: + openai_chat_completion = ChatCompletion( + id="cmpl-a6652c1bb181caae8dd19ad8", + model="xx/xxx", + object="chat.completion", + created=1703300855, + choices=[ + Choice( + finish_reason="stop", + index=0, + message=ChatCompletionMessage(role="assistant", content=resp_cont_tmpl.format(name=name)), + logprobs=None, + ) + ], + usage=CompletionUsage(completion_tokens=110, prompt_tokens=92, total_tokens=202), + ) + return openai_chat_completion + + +def get_openai_chat_completion_chunk(name: str, usage_as_dict: bool = False) -> ChatCompletionChunk: + usage = CompletionUsage(completion_tokens=110, prompt_tokens=92, total_tokens=202) + usage = usage if not usage_as_dict else usage.model_dump() + openai_chat_completion_chunk = ChatCompletionChunk( + id="cmpl-a6652c1bb181caae8dd19ad8", + model="xx/xxx", + object="chat.completion.chunk", + created=1703300855, + choices=[ + AChoice( + delta=ChoiceDelta(role="assistant", content=resp_cont_tmpl.format(name=name)), + finish_reason="stop", + index=0, + logprobs=None, + ) + ], + usage=usage, + ) + return openai_chat_completion_chunk + + +# For gemini +gemini_messages = [{"role": "user", "parts": prompt}] + + +# For QianFan +qf_jsonbody_dict = { + "id": "as-4v1h587fyv", + "object": "chat.completion", + "created": 1695021339, + "result": "", + "is_truncated": False, + "need_clear_history": False, + "usage": {"prompt_tokens": 7, "completion_tokens": 15, "total_tokens": 22}, +} + + +def get_qianfan_response(name: str) -> QfResponse: + qf_jsonbody_dict["result"] = resp_cont_tmpl.format(name=name) + return QfResponse(code=200, body=qf_jsonbody_dict) + + +# For DashScope +def get_dashscope_response(name: str) -> GenerationResponse: + return GenerationResponse.from_api_response( + DashScopeAPIResponse( + status_code=200, + output=GenerationOutput( + **{ + "text": "", + "finish_reason": "", + "choices": [ + { + "finish_reason": "stop", + "message": {"role": "assistant", "content": resp_cont_tmpl.format(name=name)}, + } + ], + } + ), + usage=GenerationUsage(**{"input_tokens": 12, "output_tokens": 98, "total_tokens": 110}), + ) + ) + + +# For Anthropic +def get_anthropic_response(name: str, stream: bool = False) -> Message: + if stream: + return [ + MessageStartEvent( + message=Message( + id="xxx", + model=name, + role="assistant", + type="message", + content=[ContentBlock(text="", type="text")], + usage=AnthropicUsage(input_tokens=10, output_tokens=10), + ), + type="message_start", + ), + ContentBlockDeltaEvent( + index=0, + delta=TextDelta(text=resp_cont_tmpl.format(name=name), type="text_delta"), + type="content_block_delta", + ), + ] + else: + return Message( + id="xxx", + model=name, + role="assistant", + type="message", + content=[ContentBlock(text=resp_cont_tmpl.format(name=name), type="text")], + usage=AnthropicUsage(input_tokens=10, output_tokens=10), + ) + + +# For llm general chat functions call +async def llm_general_chat_funcs_test(llm: BaseLLM, prompt: str, messages: list[dict], resp_cont: str): + resp = await llm.aask(prompt, stream=False) + assert resp == resp_cont + + resp = await llm.aask(prompt) + assert resp == resp_cont + + resp = await llm.acompletion_text(messages, stream=False) + assert resp == resp_cont + + resp = await llm.acompletion_text(messages, stream=True) + assert resp == resp_cont diff --git a/tests/metagpt/provider/test_anthropic_api.py b/tests/metagpt/provider/test_anthropic_api.py index 6962ab064..b8a3fe289 100644 --- a/tests/metagpt/provider/test_anthropic_api.py +++ b/tests/metagpt/provider/test_anthropic_api.py @@ -2,31 +2,45 @@ # -*- coding: utf-8 -*- # @Desc : the unittest of Claude2 - import pytest from anthropic.resources.completions import Completion -from metagpt.provider.anthropic_api import Claude2 -from tests.metagpt.provider.mock_llm_config import mock_llm_config +from metagpt.provider.anthropic_api import AnthropicLLM +from tests.metagpt.provider.mock_llm_config import mock_llm_config_anthropic +from tests.metagpt.provider.req_resp_const import ( + get_anthropic_response, + llm_general_chat_funcs_test, + messages, + prompt, + resp_cont_tmpl, +) -prompt = "who are you" -resp = "I'am Claude2" +name = "claude-3-opus-20240229" +resp_cont = resp_cont_tmpl.format(name=name) -def mock_anthropic_completions_create(self, model: str, prompt: str, max_tokens_to_sample: int) -> Completion: - return Completion(id="xx", completion=resp, model="claude-2", stop_reason="stop_sequence", type="completion") +async def mock_anthropic_messages_create( + self, messages: list[dict], model: str, stream: bool = True, max_tokens: int = None, system: str = None +) -> Completion: + if stream: + async def aresp_iterator(): + resps = get_anthropic_response(name, stream=True) + for resp in resps: + yield resp -async def mock_anthropic_acompletions_create(self, model: str, prompt: str, max_tokens_to_sample: int) -> Completion: - return Completion(id="xx", completion=resp, model="claude-2", stop_reason="stop_sequence", type="completion") - - -def test_claude2_ask(mocker): - mocker.patch("anthropic.resources.completions.Completions.create", mock_anthropic_completions_create) - assert resp == Claude2(mock_llm_config).ask(prompt) + return aresp_iterator() + else: + return get_anthropic_response(name) @pytest.mark.asyncio -async def test_claude2_aask(mocker): - mocker.patch("anthropic.resources.completions.AsyncCompletions.create", mock_anthropic_acompletions_create) - assert resp == await Claude2(mock_llm_config).aask(prompt) +async def test_anthropic_acompletion(mocker): + mocker.patch("anthropic.resources.messages.AsyncMessages.create", mock_anthropic_messages_create) + + anthropic_llm = AnthropicLLM(mock_llm_config_anthropic) + + resp = await anthropic_llm.acompletion(messages) + assert resp.content[0].text == resp_cont + + await llm_general_chat_funcs_test(anthropic_llm, prompt, messages, resp_cont) diff --git a/tests/metagpt/provider/test_base_llm.py b/tests/metagpt/provider/test_base_llm.py index cc781f78a..bff8dbde4 100644 --- a/tests/metagpt/provider/test_base_llm.py +++ b/tests/metagpt/provider/test_base_llm.py @@ -11,21 +11,13 @@ import pytest from metagpt.configs.llm_config import LLMConfig from metagpt.provider.base_llm import BaseLLM from metagpt.schema import Message +from tests.metagpt.provider.req_resp_const import ( + default_resp_cont, + get_part_chat_completion, + prompt, +) -default_chat_resp = { - "choices": [ - { - "index": 0, - "message": { - "role": "assistant", - "content": "I'am GPT", - }, - "finish_reason": "stop", - } - ] -} -prompt_msg = "who are you" -resp_content = default_chat_resp["choices"][0]["message"]["content"] +name = "GPT" class MockBaseLLM(BaseLLM): @@ -33,16 +25,19 @@ class MockBaseLLM(BaseLLM): pass def completion(self, messages: list[dict], timeout=3): - return default_chat_resp + return get_part_chat_completion(name) + + async def _achat_completion(self, messages: list[dict], timeout=3): + pass async def acompletion(self, messages: list[dict], timeout=3): - return default_chat_resp + return get_part_chat_completion(name) + + async def _achat_completion_stream(self, messages: list[dict], timeout: int = 3) -> str: + pass async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str: - return resp_content - - async def close(self): - return default_chat_resp + return default_resp_cont def test_base_llm(): @@ -86,25 +81,25 @@ def test_base_llm(): choice_text = base_llm.get_choice_text(openai_funccall_resp) assert choice_text == openai_funccall_resp["choices"][0]["message"]["content"] - # resp = base_llm.ask(prompt_msg) - # assert resp == resp_content + # resp = base_llm.ask(prompt) + # assert resp == default_resp_cont - # resp = base_llm.ask_batch([prompt_msg]) - # assert resp == resp_content + # resp = base_llm.ask_batch([prompt]) + # assert resp == default_resp_cont - # resp = base_llm.ask_code([prompt_msg]) - # assert resp == resp_content + # resp = base_llm.ask_code([prompt]) + # assert resp == default_resp_cont @pytest.mark.asyncio async def test_async_base_llm(): base_llm = MockBaseLLM() - resp = await base_llm.aask(prompt_msg) - assert resp == resp_content + resp = await base_llm.aask(prompt) + assert resp == default_resp_cont - resp = await base_llm.aask_batch([prompt_msg]) - assert resp == resp_content + resp = await base_llm.aask_batch([prompt]) + assert resp == default_resp_cont - # resp = await base_llm.aask_code([prompt_msg]) - # assert resp == resp_content + # resp = await base_llm.aask_code([prompt]) + # assert resp == default_resp_cont diff --git a/tests/metagpt/provider/test_dashscope_api.py b/tests/metagpt/provider/test_dashscope_api.py new file mode 100644 index 000000000..a6dd8f247 --- /dev/null +++ b/tests/metagpt/provider/test_dashscope_api.py @@ -0,0 +1,73 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : the unittest of DashScopeLLM + +from typing import AsyncGenerator, Union + +import pytest +from dashscope.api_entities.dashscope_response import GenerationResponse + +from metagpt.provider.dashscope_api import DashScopeLLM +from tests.metagpt.provider.mock_llm_config import mock_llm_config_dashscope +from tests.metagpt.provider.req_resp_const import ( + get_dashscope_response, + llm_general_chat_funcs_test, + messages, + prompt, + resp_cont_tmpl, +) + +name = "qwen-max" +resp_cont = resp_cont_tmpl.format(name=name) + + +@classmethod +def mock_dashscope_call( + cls, + messages: list[dict], + model: str, + api_key: str, + result_format: str, + incremental_output: bool = True, + stream: bool = False, +) -> GenerationResponse: + return get_dashscope_response(name) + + +@classmethod +async def mock_dashscope_acall( + cls, + messages: list[dict], + model: str, + api_key: str, + result_format: str, + incremental_output: bool = True, + stream: bool = False, +) -> Union[AsyncGenerator[GenerationResponse, None], GenerationResponse]: + resps = [get_dashscope_response(name)] + + if stream: + + async def aresp_iterator(resps: list[GenerationResponse]): + for resp in resps: + yield resp + + return aresp_iterator(resps) + else: + return resps[0] + + +@pytest.mark.asyncio +async def test_dashscope_acompletion(mocker): + mocker.patch("dashscope.aigc.generation.Generation.call", mock_dashscope_call) + mocker.patch("metagpt.provider.dashscope_api.AGeneration.acall", mock_dashscope_acall) + + dashscope_llm = DashScopeLLM(mock_llm_config_dashscope) + + resp = dashscope_llm.completion(messages) + assert resp.choices[0]["message"]["content"] == resp_cont + + resp = await dashscope_llm.acompletion(messages) + assert resp.choices[0]["message"]["content"] == resp_cont + + await llm_general_chat_funcs_test(dashscope_llm, prompt, messages, resp_cont) diff --git a/tests/metagpt/provider/test_fireworks_llm.py b/tests/metagpt/provider/test_fireworks_llm.py deleted file mode 100644 index 66b55e5b2..000000000 --- a/tests/metagpt/provider/test_fireworks_llm.py +++ /dev/null @@ -1,114 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : the unittest of fireworks api - -import pytest -from openai.types.chat.chat_completion import ( - ChatCompletion, - ChatCompletionMessage, - Choice, -) -from openai.types.chat.chat_completion_chunk import ChatCompletionChunk -from openai.types.chat.chat_completion_chunk import Choice as AChoice -from openai.types.chat.chat_completion_chunk import ChoiceDelta -from openai.types.completion_usage import CompletionUsage - -from metagpt.provider.fireworks_api import ( - MODEL_GRADE_TOKEN_COSTS, - FireworksCostManager, - FireworksLLM, -) -from metagpt.utils.cost_manager import Costs -from tests.metagpt.provider.mock_llm_config import mock_llm_config - -resp_content = "I'm fireworks" -default_resp = ChatCompletion( - id="cmpl-a6652c1bb181caae8dd19ad8", - model="accounts/fireworks/models/llama-v2-13b-chat", - object="chat.completion", - created=1703300855, - choices=[ - Choice( - finish_reason="stop", - index=0, - message=ChatCompletionMessage(role="assistant", content=resp_content), - logprobs=None, - ) - ], - usage=CompletionUsage(completion_tokens=110, prompt_tokens=92, total_tokens=202), -) - -default_resp_chunk = ChatCompletionChunk( - id=default_resp.id, - model=default_resp.model, - object="chat.completion.chunk", - created=default_resp.created, - choices=[ - AChoice( - delta=ChoiceDelta(content=resp_content, role="assistant"), - finish_reason="stop", - index=0, - logprobs=None, - ) - ], - usage=dict(default_resp.usage), -) - -prompt_msg = "who are you" -messages = [{"role": "user", "content": prompt_msg}] - - -def test_fireworks_costmanager(): - cost_manager = FireworksCostManager() - assert MODEL_GRADE_TOKEN_COSTS["-1"] == cost_manager.model_grade_token_costs("test") - assert MODEL_GRADE_TOKEN_COSTS["-1"] == cost_manager.model_grade_token_costs("xxx-81b-chat") - assert MODEL_GRADE_TOKEN_COSTS["16"] == cost_manager.model_grade_token_costs("llama-v2-13b-chat") - assert MODEL_GRADE_TOKEN_COSTS["16"] == cost_manager.model_grade_token_costs("xxx-15.5b-chat") - assert MODEL_GRADE_TOKEN_COSTS["16"] == cost_manager.model_grade_token_costs("xxx-16b-chat") - assert MODEL_GRADE_TOKEN_COSTS["80"] == cost_manager.model_grade_token_costs("xxx-80b-chat") - assert MODEL_GRADE_TOKEN_COSTS["mixtral-8x7b"] == cost_manager.model_grade_token_costs("mixtral-8x7b-chat") - - cost_manager.update_cost(prompt_tokens=500000, completion_tokens=500000, model="llama-v2-13b-chat") - assert cost_manager.total_cost == 0.5 - - -async def mock_openai_acompletions_create(self, stream: bool = False, **kwargs) -> ChatCompletionChunk: - if stream: - - class Iterator(object): - async def __aiter__(self): - yield default_resp_chunk - - return Iterator() - else: - return default_resp - - -@pytest.mark.asyncio -async def test_fireworks_acompletion(mocker): - mocker.patch("openai.resources.chat.completions.AsyncCompletions.create", mock_openai_acompletions_create) - - fireworks_gpt = FireworksLLM(mock_llm_config) - fireworks_gpt.model = "llama-v2-13b-chat" - - fireworks_gpt._update_costs( - usage=CompletionUsage(prompt_tokens=500000, completion_tokens=500000, total_tokens=1000000) - ) - assert fireworks_gpt.get_costs() == Costs( - total_prompt_tokens=500000, total_completion_tokens=500000, total_cost=0.5, total_budget=0 - ) - - resp = await fireworks_gpt.acompletion(messages) - assert resp.choices[0].message.content in resp_content - - resp = await fireworks_gpt.aask(prompt_msg, stream=False) - assert resp == resp_content - - resp = await fireworks_gpt.acompletion_text(messages, stream=False) - assert resp == resp_content - - resp = await fireworks_gpt.acompletion_text(messages, stream=True) - assert resp == resp_content - - resp = await fireworks_gpt.aask(prompt_msg) - assert resp == resp_content diff --git a/tests/metagpt/provider/test_google_gemini_api.py b/tests/metagpt/provider/test_google_gemini_api.py index 404ae1e90..50c15ee19 100644 --- a/tests/metagpt/provider/test_google_gemini_api.py +++ b/tests/metagpt/provider/test_google_gemini_api.py @@ -11,6 +11,12 @@ from google.generativeai.types import content_types from metagpt.provider.google_gemini_api import GeminiLLM from tests.metagpt.provider.mock_llm_config import mock_llm_config +from tests.metagpt.provider.req_resp_const import ( + gemini_messages, + llm_general_chat_funcs_test, + prompt, + resp_cont_tmpl, +) @dataclass @@ -18,10 +24,8 @@ class MockGeminiResponse(ABC): text: str -prompt_msg = "who are you" -messages = [{"role": "user", "parts": prompt_msg}] -resp_content = "I'm gemini from google" -default_resp = MockGeminiResponse(text=resp_content) +resp_cont = resp_cont_tmpl.format(name="gemini") +default_resp = MockGeminiResponse(text=resp_cont) def mock_gemini_count_tokens(self, contents: content_types.ContentsType) -> glm.CountTokensResponse: @@ -60,28 +64,18 @@ async def test_gemini_acompletion(mocker): mock_gemini_generate_content_async, ) - gemini_gpt = GeminiLLM(mock_llm_config) + gemini_llm = GeminiLLM(mock_llm_config) - assert gemini_gpt._user_msg(prompt_msg) == {"role": "user", "parts": [prompt_msg]} - assert gemini_gpt._assistant_msg(prompt_msg) == {"role": "model", "parts": [prompt_msg]} + assert gemini_llm._user_msg(prompt) == {"role": "user", "parts": [prompt]} + assert gemini_llm._assistant_msg(prompt) == {"role": "model", "parts": [prompt]} - usage = gemini_gpt.get_usage(messages, resp_content) + usage = gemini_llm.get_usage(gemini_messages, resp_cont) assert usage == {"prompt_tokens": 20, "completion_tokens": 20} - resp = gemini_gpt.completion(messages) + resp = gemini_llm.completion(gemini_messages) assert resp == default_resp - resp = await gemini_gpt.acompletion(messages) + resp = await gemini_llm.acompletion(gemini_messages) assert resp.text == default_resp.text - resp = await gemini_gpt.aask(prompt_msg, stream=False) - assert resp == resp_content - - resp = await gemini_gpt.acompletion_text(messages, stream=False) - assert resp == resp_content - - resp = await gemini_gpt.acompletion_text(messages, stream=True) - assert resp == resp_content - - resp = await gemini_gpt.aask(prompt_msg) - assert resp == resp_content + await llm_general_chat_funcs_test(gemini_llm, prompt, gemini_messages, resp_cont) diff --git a/tests/metagpt/provider/test_ollama_api.py b/tests/metagpt/provider/test_ollama_api.py index 5d942598b..af2e929e9 100644 --- a/tests/metagpt/provider/test_ollama_api.py +++ b/tests/metagpt/provider/test_ollama_api.py @@ -9,12 +9,15 @@ import pytest from metagpt.provider.ollama_api import OllamaLLM from tests.metagpt.provider.mock_llm_config import mock_llm_config +from tests.metagpt.provider.req_resp_const import ( + llm_general_chat_funcs_test, + messages, + prompt, + resp_cont_tmpl, +) -prompt_msg = "who are you" -messages = [{"role": "user", "content": prompt_msg}] - -resp_content = "I'm ollama" -default_resp = {"message": {"role": "assistant", "content": resp_content}} +resp_cont = resp_cont_tmpl.format(name="ollama") +default_resp = {"message": {"role": "assistant", "content": resp_cont}} async def mock_ollama_arequest(self, stream: bool = False, **kwargs) -> Tuple[Any, Any, bool]: @@ -41,19 +44,12 @@ async def mock_ollama_arequest(self, stream: bool = False, **kwargs) -> Tuple[An async def test_gemini_acompletion(mocker): mocker.patch("metagpt.provider.general_api_requestor.GeneralAPIRequestor.arequest", mock_ollama_arequest) - ollama_gpt = OllamaLLM(mock_llm_config) + ollama_llm = OllamaLLM(mock_llm_config) - resp = await ollama_gpt.acompletion(messages) + resp = await ollama_llm.acompletion(messages) assert resp["message"]["content"] == default_resp["message"]["content"] - resp = await ollama_gpt.aask(prompt_msg, stream=False) - assert resp == resp_content + resp = await ollama_llm.aask(prompt, stream=False) + assert resp == resp_cont - resp = await ollama_gpt.acompletion_text(messages, stream=False) - assert resp == resp_content - - resp = await ollama_gpt.acompletion_text(messages, stream=True) - assert resp == resp_content - - resp = await ollama_gpt.aask(prompt_msg) - assert resp == resp_content + await llm_general_chat_funcs_test(ollama_llm, prompt, messages, resp_cont) diff --git a/tests/metagpt/provider/test_open_llm_api.py b/tests/metagpt/provider/test_open_llm_api.py deleted file mode 100644 index fc7b510cc..000000000 --- a/tests/metagpt/provider/test_open_llm_api.py +++ /dev/null @@ -1,92 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : - -import pytest -from openai.types.chat.chat_completion import ( - ChatCompletion, - ChatCompletionMessage, - Choice, -) -from openai.types.chat.chat_completion_chunk import ChatCompletionChunk -from openai.types.chat.chat_completion_chunk import Choice as AChoice -from openai.types.chat.chat_completion_chunk import ChoiceDelta -from openai.types.completion_usage import CompletionUsage - -from metagpt.provider.open_llm_api import OpenLLM -from metagpt.utils.cost_manager import Costs -from tests.metagpt.provider.mock_llm_config import mock_llm_config - -resp_content = "I'm llama2" -default_resp = ChatCompletion( - id="cmpl-a6652c1bb181caae8dd19ad8", - model="llama-v2-13b-chat", - object="chat.completion", - created=1703302755, - choices=[ - Choice( - finish_reason="stop", - index=0, - message=ChatCompletionMessage(role="assistant", content=resp_content), - logprobs=None, - ) - ], -) - -default_resp_chunk = ChatCompletionChunk( - id=default_resp.id, - model=default_resp.model, - object="chat.completion.chunk", - created=default_resp.created, - choices=[ - AChoice( - delta=ChoiceDelta(content=resp_content, role="assistant"), - finish_reason="stop", - index=0, - logprobs=None, - ) - ], -) - -prompt_msg = "who are you" -messages = [{"role": "user", "content": prompt_msg}] - - -async def mock_openai_acompletions_create(self, stream: bool = False, **kwargs) -> ChatCompletionChunk: - if stream: - - class Iterator(object): - async def __aiter__(self): - yield default_resp_chunk - - return Iterator() - else: - return default_resp - - -@pytest.mark.asyncio -async def test_openllm_acompletion(mocker): - mocker.patch("openai.resources.chat.completions.AsyncCompletions.create", mock_openai_acompletions_create) - - openllm_gpt = OpenLLM(mock_llm_config) - openllm_gpt.model = "llama-v2-13b-chat" - - openllm_gpt._update_costs(usage=CompletionUsage(prompt_tokens=100, completion_tokens=100, total_tokens=200)) - assert openllm_gpt.get_costs() == Costs( - total_prompt_tokens=100, total_completion_tokens=100, total_cost=0, total_budget=0 - ) - - resp = await openllm_gpt.acompletion(messages) - assert resp.choices[0].message.content in resp_content - - resp = await openllm_gpt.aask(prompt_msg, stream=False) - assert resp == resp_content - - resp = await openllm_gpt.acompletion_text(messages, stream=False) - assert resp == resp_content - - resp = await openllm_gpt.acompletion_text(messages, stream=True) - assert resp == resp_content - - resp = await openllm_gpt.aask(prompt_msg) - assert resp == resp_content diff --git a/tests/metagpt/provider/test_openai.py b/tests/metagpt/provider/test_openai.py index d6aa04c7b..3ce38d2a5 100644 --- a/tests/metagpt/provider/test_openai.py +++ b/tests/metagpt/provider/test_openai.py @@ -1,12 +1,11 @@ -import json - import pytest from openai.types.chat import ( ChatCompletion, + ChatCompletionChunk, ChatCompletionMessage, ChatCompletionMessageToolCall, ) -from openai.types.chat.chat_completion import Choice +from openai.types.chat.chat_completion import Choice, CompletionUsage from openai.types.chat.chat_completion_message_tool_call import Function from PIL import Image @@ -18,6 +17,22 @@ from tests.metagpt.provider.mock_llm_config import ( mock_llm_config, mock_llm_config_proxy, ) +from tests.metagpt.provider.req_resp_const import ( + get_openai_chat_completion, + get_openai_chat_completion_chunk, + llm_general_chat_funcs_test, + messages, + prompt, + resp_cont_tmpl, +) + +name = "AI assistant" +resp_cont = resp_cont_tmpl.format(name=name) +default_resp = get_openai_chat_completion(name) + +default_resp_chunk = get_openai_chat_completion_chunk(name, usage_as_dict=True) + +usage = CompletionUsage(completion_tokens=110, prompt_tokens=92, total_tokens=202) @pytest.mark.asyncio @@ -106,9 +121,11 @@ class TestOpenAI: def test_aask_code_json_decode_error(self, json_decode_error): instance = OpenAILLM(mock_llm_config) - with pytest.raises(json.decoder.JSONDecodeError) as e: - instance.get_choice_function_arguments(json_decode_error) - assert "JSONDecodeError" in str(e) + code = instance.get_choice_function_arguments(json_decode_error) + assert "code" in code + assert "language" in code + assert "hello world" in code["code"] + logger.info(f'code is : {code["code"]}') @pytest.mark.asyncio @@ -121,3 +138,29 @@ async def test_gen_image(): images: list[Image] = await llm.gen_image(model=model, prompt=prompt, resp_format="b64_json") assert images[0].size == (1024, 1024) + + +async def mock_openai_acompletions_create(self, stream: bool = False, **kwargs) -> ChatCompletionChunk: + if stream: + + class Iterator(object): + async def __aiter__(self): + yield default_resp_chunk + + return Iterator() + else: + return default_resp + + +@pytest.mark.asyncio +async def test_openai_acompletion(mocker): + mocker.patch("openai.resources.chat.completions.AsyncCompletions.create", mock_openai_acompletions_create) + + llm = OpenAILLM(mock_llm_config) + + resp = await llm.acompletion(messages) + assert resp.choices[0].finish_reason == "stop" + assert resp.choices[0].message.content == resp_cont + assert resp.usage == usage + + await llm_general_chat_funcs_test(llm, prompt, messages, resp_cont) diff --git a/tests/metagpt/provider/test_qianfan_api.py b/tests/metagpt/provider/test_qianfan_api.py new file mode 100644 index 000000000..28341425c --- /dev/null +++ b/tests/metagpt/provider/test_qianfan_api.py @@ -0,0 +1,56 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : the unittest of qianfan api + +from typing import AsyncIterator, Union + +import pytest +from qianfan.resources.typing import JsonBody, QfResponse + +from metagpt.provider.qianfan_api import QianFanLLM +from tests.metagpt.provider.mock_llm_config import mock_llm_config_qianfan +from tests.metagpt.provider.req_resp_const import ( + get_qianfan_response, + llm_general_chat_funcs_test, + messages, + prompt, + resp_cont_tmpl, +) + +name = "ERNIE-Bot-turbo" +resp_cont = resp_cont_tmpl.format(name=name) + + +def mock_qianfan_do(self, messages: list[dict], model: str, stream: bool = False, system: str = None) -> QfResponse: + return get_qianfan_response(name=name) + + +async def mock_qianfan_ado( + self, messages: list[dict], model: str, stream: bool = True, system: str = None +) -> Union[QfResponse, AsyncIterator[QfResponse]]: + resps = [get_qianfan_response(name=name)] + if stream: + + async def aresp_iterator(resps: list[JsonBody]): + for resp in resps: + yield resp + + return aresp_iterator(resps) + else: + return resps[0] + + +@pytest.mark.asyncio +async def test_qianfan_acompletion(mocker): + mocker.patch("qianfan.resources.llm.chat_completion.ChatCompletion.do", mock_qianfan_do) + mocker.patch("qianfan.resources.llm.chat_completion.ChatCompletion.ado", mock_qianfan_ado) + + qianfan_llm = QianFanLLM(mock_llm_config_qianfan) + + resp = qianfan_llm.completion(messages) + assert resp.get("result") == resp_cont + + resp = await qianfan_llm.acompletion(messages) + assert resp.get("result") == resp_cont + + await llm_general_chat_funcs_test(qianfan_llm, prompt, messages, resp_cont) diff --git a/tests/metagpt/provider/test_spark_api.py b/tests/metagpt/provider/test_spark_api.py index f5a6f66fd..9c278267d 100644 --- a/tests/metagpt/provider/test_spark_api.py +++ b/tests/metagpt/provider/test_spark_api.py @@ -4,12 +4,18 @@ import pytest -from metagpt.config2 import Config from metagpt.provider.spark_api import GetMessageFromWeb, SparkLLM -from tests.metagpt.provider.mock_llm_config import mock_llm_config +from tests.metagpt.provider.mock_llm_config import ( + mock_llm_config, + mock_llm_config_spark, +) +from tests.metagpt.provider.req_resp_const import ( + llm_general_chat_funcs_test, + prompt, + resp_cont_tmpl, +) -prompt_msg = "who are you" -resp_content = "I'm Spark" +resp_cont = resp_cont_tmpl.format(name="Spark") class MockWebSocketApp(object): @@ -23,7 +29,7 @@ class MockWebSocketApp(object): def test_get_msg_from_web(mocker): mocker.patch("websocket.WebSocketApp", MockWebSocketApp) - get_msg_from_web = GetMessageFromWeb(prompt_msg, mock_llm_config) + get_msg_from_web = GetMessageFromWeb(prompt, mock_llm_config) assert get_msg_from_web.gen_params()["parameter"]["chat"]["domain"] == "mock_domain" ret = get_msg_from_web.run() @@ -31,34 +37,26 @@ def test_get_msg_from_web(mocker): def mock_spark_get_msg_from_web_run(self) -> str: - return resp_content + return resp_cont @pytest.mark.asyncio -async def test_spark_aask(): - llm = SparkLLM(Config.from_home("spark.yaml").llm) +async def test_spark_aask(mocker): + mocker.patch("metagpt.provider.spark_api.GetMessageFromWeb.run", mock_spark_get_msg_from_web_run) + + llm = SparkLLM(mock_llm_config_spark) resp = await llm.aask("Hello!") - print(resp) + assert resp == resp_cont @pytest.mark.asyncio async def test_spark_acompletion(mocker): mocker.patch("metagpt.provider.spark_api.GetMessageFromWeb.run", mock_spark_get_msg_from_web_run) - spark_gpt = SparkLLM(mock_llm_config) + spark_llm = SparkLLM(mock_llm_config) - resp = await spark_gpt.acompletion([]) - assert resp == resp_content + resp = await spark_llm.acompletion([]) + assert resp == resp_cont - resp = await spark_gpt.aask(prompt_msg, stream=False) - assert resp == resp_content - - resp = await spark_gpt.acompletion_text([], stream=False) - assert resp == resp_content - - resp = await spark_gpt.acompletion_text([], stream=True) - assert resp == resp_content - - resp = await spark_gpt.aask(prompt_msg) - assert resp == resp_content + await llm_general_chat_funcs_test(spark_llm, prompt, prompt, resp_cont) diff --git a/tests/metagpt/provider/test_zhipuai_api.py b/tests/metagpt/provider/test_zhipuai_api.py index 798209710..c51010122 100644 --- a/tests/metagpt/provider/test_zhipuai_api.py +++ b/tests/metagpt/provider/test_zhipuai_api.py @@ -6,22 +6,24 @@ import pytest from metagpt.provider.zhipuai_api import ZhiPuAILLM from tests.metagpt.provider.mock_llm_config import mock_llm_config_zhipu +from tests.metagpt.provider.req_resp_const import ( + get_part_chat_completion, + llm_general_chat_funcs_test, + messages, + prompt, + resp_cont_tmpl, +) -prompt_msg = "who are you" -messages = [{"role": "user", "content": prompt_msg}] - -resp_content = "I'm chatglm-turbo" -default_resp = { - "choices": [{"finish_reason": "stop", "index": 0, "message": {"content": resp_content, "role": "assistant"}}], - "usage": {"completion_tokens": 22, "prompt_tokens": 19, "total_tokens": 41}, -} +name = "ChatGLM-4" +resp_cont = resp_cont_tmpl.format(name=name) +default_resp = get_part_chat_completion(name) -async def mock_zhipuai_acreate_stream(**kwargs): +async def mock_zhipuai_acreate_stream(self, **kwargs): class MockResponse(object): async def _aread(self): class Iterator(object): - events = [{"choices": [{"index": 0, "delta": {"content": resp_content, "role": "assistant"}}]}] + events = [{"choices": [{"index": 0, "delta": {"content": resp_cont, "role": "assistant"}}]}] async def __aiter__(self): for event in self.events: @@ -37,7 +39,7 @@ async def mock_zhipuai_acreate_stream(**kwargs): return MockResponse() -async def mock_zhipuai_acreate(**kwargs) -> dict: +async def mock_zhipuai_acreate(self, **kwargs) -> dict: return default_resp @@ -46,22 +48,12 @@ async def test_zhipuai_acompletion(mocker): mocker.patch("metagpt.provider.zhipuai.zhipu_model_api.ZhiPuModelAPI.acreate", mock_zhipuai_acreate) mocker.patch("metagpt.provider.zhipuai.zhipu_model_api.ZhiPuModelAPI.acreate_stream", mock_zhipuai_acreate_stream) - zhipu_gpt = ZhiPuAILLM(mock_llm_config_zhipu) + zhipu_llm = ZhiPuAILLM(mock_llm_config_zhipu) - resp = await zhipu_gpt.acompletion(messages) - assert resp["choices"][0]["message"]["content"] == resp_content + resp = await zhipu_llm.acompletion(messages) + assert resp["choices"][0]["message"]["content"] == resp_cont - resp = await zhipu_gpt.aask(prompt_msg, stream=False) - assert resp == resp_content - - resp = await zhipu_gpt.acompletion_text(messages, stream=False) - assert resp == resp_content - - resp = await zhipu_gpt.acompletion_text(messages, stream=True) - assert resp == resp_content - - resp = await zhipu_gpt.aask(prompt_msg) - assert resp == resp_content + await llm_general_chat_funcs_test(zhipu_llm, prompt, messages, resp_cont) def test_zhipuai_proxy(): diff --git a/tests/metagpt/rag/engines/test_simple.py b/tests/metagpt/rag/engines/test_simple.py new file mode 100644 index 000000000..5627957c7 --- /dev/null +++ b/tests/metagpt/rag/engines/test_simple.py @@ -0,0 +1,166 @@ +import pytest +from llama_index.core import VectorStoreIndex +from llama_index.core.schema import Document, TextNode + +from metagpt.rag.engines import SimpleEngine +from metagpt.rag.retrievers.base import ModifiableRAGRetriever + + +class TestSimpleEngine: + @pytest.fixture + def mock_simple_directory_reader(self, mocker): + return mocker.patch("metagpt.rag.engines.simple.SimpleDirectoryReader") + + @pytest.fixture + def mock_vector_store_index(self, mocker): + return mocker.patch("metagpt.rag.engines.simple.VectorStoreIndex.from_documents") + + @pytest.fixture + def mock_get_retriever(self, mocker): + return mocker.patch("metagpt.rag.engines.simple.get_retriever") + + @pytest.fixture + def mock_get_rankers(self, mocker): + return mocker.patch("metagpt.rag.engines.simple.get_rankers") + + @pytest.fixture + def mock_get_response_synthesizer(self, mocker): + return mocker.patch("metagpt.rag.engines.simple.get_response_synthesizer") + + def test_from_docs( + self, + mocker, + mock_simple_directory_reader, + mock_vector_store_index, + mock_get_retriever, + mock_get_rankers, + mock_get_response_synthesizer, + ): + # Mock + mock_simple_directory_reader.return_value.load_data.return_value = [ + Document(text="document1"), + Document(text="document2"), + ] + mock_get_retriever.return_value = mocker.MagicMock() + mock_get_rankers.return_value = [mocker.MagicMock()] + mock_get_response_synthesizer.return_value = mocker.MagicMock() + + # Setup + input_dir = "test_dir" + input_files = ["test_file1", "test_file2"] + transformations = [mocker.MagicMock()] + embed_model = mocker.MagicMock() + llm = mocker.MagicMock() + retriever_configs = [mocker.MagicMock()] + ranker_configs = [mocker.MagicMock()] + + # Execute + engine = SimpleEngine.from_docs( + input_dir=input_dir, + input_files=input_files, + transformations=transformations, + embed_model=embed_model, + llm=llm, + retriever_configs=retriever_configs, + ranker_configs=ranker_configs, + ) + + # Assertions + mock_simple_directory_reader.assert_called_once_with(input_dir=input_dir, input_files=input_files) + mock_vector_store_index.assert_called_once() + mock_get_retriever.assert_called_once_with( + configs=retriever_configs, index=mock_vector_store_index.return_value + ) + mock_get_rankers.assert_called_once_with(configs=ranker_configs, llm=llm) + mock_get_response_synthesizer.assert_called_once_with(llm=llm) + assert isinstance(engine, SimpleEngine) + + @pytest.mark.asyncio + async def test_asearch(self, mocker): + # Mock + test_query = "test query" + expected_result = "expected result" + mock_aquery = mocker.AsyncMock(return_value=expected_result) + + # Setup + engine = SimpleEngine(retriever=mocker.MagicMock()) + engine.aquery = mock_aquery + + # Execute + result = await engine.asearch(test_query) + + # Assertions + mock_aquery.assert_called_once_with(test_query) + assert result == expected_result + + @pytest.mark.asyncio + async def test_aretrieve(self, mocker): + # Mock + mock_query_bundle = mocker.patch("metagpt.rag.engines.simple.QueryBundle", return_value="query_bundle") + mock_super_aretrieve = mocker.patch( + "metagpt.rag.engines.simple.RetrieverQueryEngine.aretrieve", new_callable=mocker.AsyncMock + ) + mock_super_aretrieve.return_value = [TextNode(text="node_with_score", metadata={"is_obj": False})] + + # Setup + engine = SimpleEngine(retriever=mocker.MagicMock()) + test_query = "test query" + + # Execute + result = await engine.aretrieve(test_query) + + # Assertions + mock_query_bundle.assert_called_once_with(test_query) + mock_super_aretrieve.assert_called_once_with("query_bundle") + assert result[0].text == "node_with_score" + + def test_add_docs(self, mocker): + # Mock + mock_simple_directory_reader = mocker.patch("metagpt.rag.engines.simple.SimpleDirectoryReader") + mock_simple_directory_reader.return_value.load_data.return_value = [ + Document(text="document1"), + Document(text="document2"), + ] + + mock_retriever = mocker.MagicMock(spec=ModifiableRAGRetriever) + + mock_index = mocker.MagicMock(spec=VectorStoreIndex) + mock_index._transformations = mocker.MagicMock() + + mock_run_transformations = mocker.patch("metagpt.rag.engines.simple.run_transformations") + mock_run_transformations.return_value = ["node1", "node2"] + + # Setup + engine = SimpleEngine(retriever=mock_retriever, index=mock_index) + input_files = ["test_file1", "test_file2"] + + # Execute + engine.add_docs(input_files=input_files) + + # Assertions + mock_simple_directory_reader.assert_called_once_with(input_files=input_files) + mock_retriever.add_nodes.assert_called_once_with(["node1", "node2"]) + + def test_add_objs(self, mocker): + # Mock + mock_retriever = mocker.MagicMock(spec=ModifiableRAGRetriever) + + # Setup + class CustomTextNode(TextNode): + def rag_key(self): + return "" + + def model_dump_json(self): + return "" + + objs = [CustomTextNode(text=f"text_{i}", metadata={"obj": f"obj_{i}"}) for i in range(2)] + engine = SimpleEngine(retriever=mock_retriever, index=mocker.MagicMock()) + + # Execute + engine.add_objs(objs=objs) + + # Assertions + assert mock_retriever.add_nodes.call_count == 1 + for node in mock_retriever.add_nodes.call_args[0][0]: + assert isinstance(node, TextNode) + assert "is_obj" in node.metadata diff --git a/tests/metagpt/rag/factories/test_base.py b/tests/metagpt/rag/factories/test_base.py new file mode 100644 index 000000000..1d41e1872 --- /dev/null +++ b/tests/metagpt/rag/factories/test_base.py @@ -0,0 +1,102 @@ +import pytest + +from metagpt.rag.factories.base import ConfigBasedFactory, GenericFactory + + +class TestGenericFactory: + @pytest.fixture + def creators(self): + return { + "type1": lambda name: f"Instance of type1 with {name}", + "type2": lambda name: f"Instance of type2 with {name}", + } + + @pytest.fixture + def factory(self, creators): + return GenericFactory(creators=creators) + + def test_get_instance_success(self, factory): + # Test successful retrieval of an instance + key = "type1" + instance = factory.get_instance(key, name="TestName") + assert instance == "Instance of type1 with TestName" + + def test_get_instance_failure(self, factory): + # Test failure to retrieve an instance due to unregistered key + with pytest.raises(ValueError) as exc_info: + factory.get_instance("unknown_key") + assert "Creator not registered for key: unknown_key" in str(exc_info.value) + + def test_get_instances_success(self, factory): + # Test successful retrieval of multiple instances + keys = ["type1", "type2"] + instances = factory.get_instances(keys, name="TestName") + expected = ["Instance of type1 with TestName", "Instance of type2 with TestName"] + assert instances == expected + + @pytest.mark.parametrize( + "keys,expected_exception_message", + [ + (["unknown_key"], "Creator not registered for key: unknown_key"), + (["type1", "unknown_key"], "Creator not registered for key: unknown_key"), + ], + ) + def test_get_instances_with_failure(self, factory, keys, expected_exception_message): + # Test failure to retrieve instances due to at least one unregistered key + with pytest.raises(ValueError) as exc_info: + factory.get_instances(keys, name="TestName") + assert expected_exception_message in str(exc_info.value) + + +class DummyConfig: + """A dummy config class for testing.""" + + def __init__(self, name): + self.name = name + + +class TestConfigBasedFactory: + @pytest.fixture + def config_creators(self): + return { + DummyConfig: lambda config, **kwargs: f"Processed {config.name} with {kwargs.get('extra', 'no extra')}", + } + + @pytest.fixture + def config_factory(self, config_creators): + return ConfigBasedFactory(creators=config_creators) + + def test_get_instance_success(self, config_factory): + # Test successful retrieval of an instance + config = DummyConfig(name="TestConfig") + instance = config_factory.get_instance(config, extra="additional data") + assert instance == "Processed TestConfig with additional data" + + def test_get_instance_failure(self, config_factory): + # Test failure to retrieve an instance due to unknown config type + class UnknownConfig: + pass + + config = UnknownConfig() + with pytest.raises(ValueError) as exc_info: + config_factory.get_instance(config) + assert "Unknown config:" in str(exc_info.value) + + def test_val_from_config_or_kwargs_priority(self): + # Test that the value from the config object has priority over kwargs + config = DummyConfig(name="ConfigName") + result = ConfigBasedFactory._val_from_config_or_kwargs("name", config, name="KwargsName") + assert result == "ConfigName" + + def test_val_from_config_or_kwargs_fallback_to_kwargs(self): + # Test fallback to kwargs when config object does not have the value + config = DummyConfig(name=None) + result = ConfigBasedFactory._val_from_config_or_kwargs("name", config, name="KwargsName") + assert result == "KwargsName" + + def test_val_from_config_or_kwargs_key_error(self): + # Test KeyError when the key is not found in both config object and kwargs + config = DummyConfig(name=None) + with pytest.raises(KeyError) as exc_info: + ConfigBasedFactory._val_from_config_or_kwargs("missing_key", config) + assert "The key 'missing_key' is required but not provided" in str(exc_info.value) diff --git a/tests/metagpt/rag/factories/test_ranker.py b/tests/metagpt/rag/factories/test_ranker.py new file mode 100644 index 000000000..563cffa73 --- /dev/null +++ b/tests/metagpt/rag/factories/test_ranker.py @@ -0,0 +1,41 @@ +import pytest +from llama_index.core.llms import LLM +from llama_index.core.postprocessor import LLMRerank + +from metagpt.rag.factories.ranker import RankerFactory +from metagpt.rag.schema import LLMRankerConfig + + +class TestRankerFactory: + @pytest.fixture + def ranker_factory(self) -> RankerFactory: + return RankerFactory() + + @pytest.fixture + def mock_llm(self, mocker): + return mocker.MagicMock(spec=LLM) + + def test_get_rankers_with_no_configs(self, ranker_factory: RankerFactory, mock_llm, mocker): + mocker.patch.object(ranker_factory, "_extract_llm", return_value=mock_llm) + default_rankers = ranker_factory.get_rankers() + assert len(default_rankers) == 0 + + def test_get_rankers_with_configs(self, ranker_factory: RankerFactory, mock_llm): + mock_config = LLMRankerConfig(llm=mock_llm) + rankers = ranker_factory.get_rankers(configs=[mock_config]) + assert len(rankers) == 1 + assert isinstance(rankers[0], LLMRerank) + + def test_create_llm_ranker_creates_correct_instance(self, ranker_factory: RankerFactory, mock_llm): + mock_config = LLMRankerConfig(llm=mock_llm) + ranker = ranker_factory._create_llm_ranker(mock_config) + assert isinstance(ranker, LLMRerank) + + def test_extract_llm_from_config(self, ranker_factory: RankerFactory, mock_llm): + mock_config = LLMRankerConfig(llm=mock_llm) + extracted_llm = ranker_factory._extract_llm(config=mock_config) + assert extracted_llm == mock_llm + + def test_extract_llm_from_kwargs(self, ranker_factory: RankerFactory, mock_llm): + extracted_llm = ranker_factory._extract_llm(llm=mock_llm) + assert extracted_llm == mock_llm diff --git a/tests/metagpt/rag/factories/test_retriever.py b/tests/metagpt/rag/factories/test_retriever.py new file mode 100644 index 000000000..ac8926d46 --- /dev/null +++ b/tests/metagpt/rag/factories/test_retriever.py @@ -0,0 +1,79 @@ +import faiss +import pytest +from llama_index.core import VectorStoreIndex + +from metagpt.rag.factories.retriever import RetrieverFactory +from metagpt.rag.retrievers.bm25_retriever import DynamicBM25Retriever +from metagpt.rag.retrievers.faiss_retriever import FAISSRetriever +from metagpt.rag.retrievers.hybrid_retriever import SimpleHybridRetriever +from metagpt.rag.schema import BM25RetrieverConfig, FAISSRetrieverConfig + + +class TestRetrieverFactory: + @pytest.fixture + def retriever_factory(self): + return RetrieverFactory() + + @pytest.fixture + def mock_faiss_index(self, mocker): + return mocker.MagicMock(spec=faiss.IndexFlatL2) + + @pytest.fixture + def mock_vector_store_index(self, mocker): + mock = mocker.MagicMock(spec=VectorStoreIndex) + mock._embed_model = mocker.MagicMock() + mock.docstore.docs.values.return_value = [] + return mock + + def test_get_retriever_with_faiss_config( + self, retriever_factory: RetrieverFactory, mock_faiss_index, mocker, mock_vector_store_index + ): + mock_config = FAISSRetrieverConfig(dimensions=128) + mocker.patch("faiss.IndexFlatL2", return_value=mock_faiss_index) + mocker.patch.object(retriever_factory, "_extract_index", return_value=mock_vector_store_index) + + retriever = retriever_factory.get_retriever(configs=[mock_config]) + + assert isinstance(retriever, FAISSRetriever) + + def test_get_retriever_with_bm25_config(self, retriever_factory: RetrieverFactory, mocker, mock_vector_store_index): + mock_config = BM25RetrieverConfig() + mocker.patch("rank_bm25.BM25Okapi.__init__", return_value=None) + mocker.patch.object(retriever_factory, "_extract_index", return_value=mock_vector_store_index) + + retriever = retriever_factory.get_retriever(configs=[mock_config]) + + assert isinstance(retriever, DynamicBM25Retriever) + + def test_get_retriever_with_multiple_configs_returns_hybrid( + self, retriever_factory: RetrieverFactory, mocker, mock_vector_store_index + ): + mock_faiss_config = FAISSRetrieverConfig(dimensions=128) + mock_bm25_config = BM25RetrieverConfig() + mocker.patch("rank_bm25.BM25Okapi.__init__", return_value=None) + mocker.patch.object(retriever_factory, "_extract_index", return_value=mock_vector_store_index) + + retriever = retriever_factory.get_retriever(configs=[mock_faiss_config, mock_bm25_config]) + + assert isinstance(retriever, SimpleHybridRetriever) + + def test_create_default_retriever(self, retriever_factory: RetrieverFactory, mocker, mock_vector_store_index): + mocker.patch.object(retriever_factory, "_extract_index", return_value=mock_vector_store_index) + mock_vector_store_index.as_retriever = mocker.MagicMock() + + retriever = retriever_factory.get_retriever() + + mock_vector_store_index.as_retriever.assert_called_once() + assert retriever is mock_vector_store_index.as_retriever.return_value + + def test_extract_index_from_config(self, retriever_factory: RetrieverFactory, mock_vector_store_index): + mock_config = FAISSRetrieverConfig(index=mock_vector_store_index) + + extracted_index = retriever_factory._extract_index(config=mock_config) + + assert extracted_index == mock_vector_store_index + + def test_extract_index_from_kwargs(self, retriever_factory: RetrieverFactory, mock_vector_store_index): + extracted_index = retriever_factory._extract_index(index=mock_vector_store_index) + + assert extracted_index == mock_vector_store_index diff --git a/tests/metagpt/rag/retrievers/test_bm25_retriever.py b/tests/metagpt/rag/retrievers/test_bm25_retriever.py new file mode 100644 index 000000000..28b37c86b --- /dev/null +++ b/tests/metagpt/rag/retrievers/test_bm25_retriever.py @@ -0,0 +1,37 @@ +import pytest +from llama_index.core import VectorStoreIndex +from llama_index.core.schema import Node + +from metagpt.rag.retrievers.bm25_retriever import DynamicBM25Retriever + + +class TestDynamicBM25Retriever: + @pytest.fixture(autouse=True) + def setup(self, mocker): + # 创建模拟的Document对象 + self.doc1 = mocker.MagicMock(spec=Node) + self.doc1.get_content.return_value = "Document content 1" + self.doc2 = mocker.MagicMock(spec=Node) + self.doc2.get_content.return_value = "Document content 2" + self.mock_nodes = [self.doc1, self.doc2] + + # 模拟index + index = mocker.MagicMock(spec=VectorStoreIndex) + + # 模拟nodes和tokenizer参数 + mock_nodes = [] + mock_tokenizer = mocker.MagicMock() + self.mock_bm25okapi = mocker.patch("rank_bm25.BM25Okapi.__init__", return_value=None) + + # 初始化DynamicBM25Retriever对象，并提供必需的参数 + self.retriever = DynamicBM25Retriever(nodes=mock_nodes, tokenizer=mock_tokenizer, index=index) + + def test_add_docs_updates_nodes_and_corpus(self): + # Execute + self.retriever.add_nodes(self.mock_nodes) + + # Assertions + assert len(self.retriever._nodes) == len(self.mock_nodes) + assert len(self.retriever._corpus) == len(self.mock_nodes) + self.retriever._tokenizer.assert_called() + self.mock_bm25okapi.assert_called() diff --git a/tests/metagpt/rag/retrievers/test_faiss_retriever.py b/tests/metagpt/rag/retrievers/test_faiss_retriever.py new file mode 100644 index 000000000..9113f110c --- /dev/null +++ b/tests/metagpt/rag/retrievers/test_faiss_retriever.py @@ -0,0 +1,22 @@ +import pytest +from llama_index.core.schema import Node + +from metagpt.rag.retrievers.faiss_retriever import FAISSRetriever + + +class TestFAISSRetriever: + @pytest.fixture(autouse=True) + def setup(self, mocker): + # 创建模拟的Document对象 + self.doc1 = mocker.MagicMock(spec=Node) + self.doc2 = mocker.MagicMock(spec=Node) + self.mock_nodes = [self.doc1, self.doc2] + + # 模拟FAISSRetriever的_index属性 + self.mock_index = mocker.MagicMock() + self.retriever = FAISSRetriever(self.mock_index) + + def test_add_docs_calls_insert_for_each_document(self, mocker): + self.retriever.add_nodes(self.mock_nodes) + + assert self.mock_index.insert_nodes.assert_called diff --git a/tests/metagpt/rag/retrievers/test_hybrid_retriever.py b/tests/metagpt/rag/retrievers/test_hybrid_retriever.py new file mode 100644 index 000000000..8cc3087c8 --- /dev/null +++ b/tests/metagpt/rag/retrievers/test_hybrid_retriever.py @@ -0,0 +1,39 @@ +from unittest.mock import AsyncMock + +import pytest +from llama_index.core.schema import NodeWithScore, TextNode + +from metagpt.rag.retrievers import SimpleHybridRetriever + + +class TestSimpleHybridRetriever: + @pytest.mark.asyncio + async def test_aretrieve(self): + question = "test query" + + # Create mock retrievers + mock_retriever1 = AsyncMock() + mock_retriever1.aretrieve.return_value = [ + NodeWithScore(node=TextNode(id_="1"), score=1.0), + NodeWithScore(node=TextNode(id_="2"), score=0.95), + ] + + mock_retriever2 = AsyncMock() + mock_retriever2.aretrieve.return_value = [ + NodeWithScore(node=TextNode(id_="2"), score=0.95), + NodeWithScore(node=TextNode(id_="3"), score=0.8), + ] + + # Instantiate the SimpleHybridRetriever with the mock retrievers + hybrid_retriever = SimpleHybridRetriever(mock_retriever1, mock_retriever2) + + # Call the _aretrieve method + results = await hybrid_retriever._aretrieve(question) + + # Check if the results are as expected + assert len(results) == 3 # Should be 3 unique nodes + assert set(node.node.node_id for node in results) == {"1", "2", "3"} + + # Check if the scores are correct (assuming you want the highest score) + node_scores = {node.node.node_id: node.score for node in results} + assert node_scores["2"] == 0.95 diff --git a/tests/metagpt/roles/ci/test_code_interpreter.py b/tests/metagpt/roles/ci/test_code_interpreter.py deleted file mode 100644 index f23292965..000000000 --- a/tests/metagpt/roles/ci/test_code_interpreter.py +++ /dev/null @@ -1,19 +0,0 @@ -import pytest - -from metagpt.logs import logger -from metagpt.roles.ci.code_interpreter import CodeInterpreter - - -@pytest.mark.asyncio -@pytest.mark.parametrize("auto_run", [(True), (False)]) -async def test_code_interpreter(mocker, auto_run): - mocker.patch("metagpt.actions.ci.execute_nb_code.ExecuteNbCode.run", return_value=("a successful run", True)) - mocker.patch("builtins.input", return_value="confirm") - - requirement = "Run data analysis on sklearn Iris dataset, include a plot" - tools = [] - - ci = CodeInterpreter(auto_run=auto_run, use_tools=True, tools=tools) - rsp = await ci.run(requirement) - logger.info(rsp) - assert len(rsp.content) > 0 diff --git a/tests/metagpt/roles/ci/test_ml_engineer.py b/tests/metagpt/roles/ci/test_ml_engineer.py deleted file mode 100644 index 3bf9f3b92..000000000 --- a/tests/metagpt/roles/ci/test_ml_engineer.py +++ /dev/null @@ -1,90 +0,0 @@ -import pytest - -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode -from metagpt.logs import logger -from metagpt.roles.ci.ml_engineer import MLEngineer -from metagpt.schema import Message, Plan, Task -from metagpt.tools.tool_type import ToolType -from tests.metagpt.actions.ci.test_debug_code import CODE, DebugContext, ErrorStr - - -def test_mle_init(): - ci = MLEngineer(goal="test", auto_run=True, use_tools=True, tools=["tool1", "tool2"]) - assert ci.tools == [] - - -MockPlan = Plan( - goal="This is a titanic passenger survival dataset, your goal is to predict passenger survival outcome. The target column is Survived. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report accuracy on the eval data. Train data path: 'tests/data/ml_datasets/titanic/split_train.csv', eval data path: 'tests/data/ml_datasets/titanic/split_eval.csv'.", - context="", - tasks=[ - Task( - task_id="1", - dependent_task_ids=[], - instruction="Perform exploratory data analysis on the train dataset to understand the features and target variable.", - task_type="eda", - code="", - result="", - is_success=False, - is_finished=False, - ) - ], - task_map={ - "1": Task( - task_id="1", - dependent_task_ids=[], - instruction="Perform exploratory data analysis on the train dataset to understand the features and target variable.", - task_type="eda", - code="", - result="", - is_success=False, - is_finished=False, - ) - }, - current_task_id="1", -) - - -@pytest.mark.asyncio -async def test_mle_write_code(mocker): - data_path = "tests/data/ml_datasets/titanic" - - mle = MLEngineer(auto_run=True, use_tools=True) - mle.planner.plan = MockPlan - - code, _ = await mle._write_code() - assert data_path in code["code"] - - -@pytest.mark.asyncio -async def test_mle_update_data_columns(mocker): - mle = MLEngineer(auto_run=True, use_tools=True) - mle.planner.plan = MockPlan - - # manually update task type to test update - mle.planner.plan.current_task.task_type = ToolType.DATA_PREPROCESS.value - - result = await mle._update_data_columns() - assert result is not None - - -@pytest.mark.asyncio -async def test_mle_debug_code(mocker): - mle = MLEngineer(auto_run=True, use_tools=True) - mle.working_memory.add(Message(content=ErrorStr, cause_by=ExecuteNbCode)) - mle.latest_code = CODE - mle.debug_context = DebugContext - code, _ = await mle._write_code() - assert len(code) > 0 - - -@pytest.mark.skip -@pytest.mark.asyncio -async def test_ml_engineer(): - data_path = "tests/data/ml_datasets/titanic" - requirement = f"This is a titanic passenger survival dataset, your goal is to predict passenger survival outcome. The target column is Survived. Perform data analysis, data preprocessing, feature engineering, and modeling to predict the target. Report accuracy on the eval data. Train data path: '{data_path}/split_train.csv', eval data path: '{data_path}/split_eval.csv'." - tools = ["FillMissingValue", "CatCross", "dummy_tool"] - - mle = MLEngineer(auto_run=True, use_tools=True, tools=tools) - rsp = await mle.run(requirement) - logger.info(rsp) - assert len(rsp.content) > 0 diff --git a/tests/metagpt/roles/di/test_data_interpreter.py b/tests/metagpt/roles/di/test_data_interpreter.py new file mode 100644 index 000000000..e5cc5b29b --- /dev/null +++ b/tests/metagpt/roles/di/test_data_interpreter.py @@ -0,0 +1,34 @@ +import pytest + +from metagpt.logs import logger +from metagpt.roles.di.data_interpreter import DataInterpreter + + +@pytest.mark.asyncio +@pytest.mark.parametrize("auto_run", [(True), (False)]) +async def test_interpreter(mocker, auto_run): + mocker.patch("metagpt.actions.di.execute_nb_code.ExecuteNbCode.run", return_value=("a successful run", True)) + mocker.patch("builtins.input", return_value="confirm") + + requirement = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy." + + di = DataInterpreter(auto_run=auto_run) + rsp = await di.run(requirement) + logger.info(rsp) + assert len(rsp.content) > 0 + + finished_tasks = di.planner.plan.get_finished_tasks() + assert len(finished_tasks) > 0 + assert len(finished_tasks[0].code) > 0 # check one task to see if code is recorded + + +@pytest.mark.asyncio +async def test_interpreter_react_mode(mocker): + mocker.patch("metagpt.actions.di.execute_nb_code.ExecuteNbCode.run", return_value=("a successful run", True)) + + requirement = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy." + + di = DataInterpreter(react_mode="react") + rsp = await di.run(requirement) + logger.info(rsp) + assert len(rsp.content) > 0 diff --git a/tests/metagpt/roles/test_assistant.py b/tests/metagpt/roles/test_assistant.py index bd0efea35..0f67dff46 100644 --- a/tests/metagpt/roles/test_assistant.py +++ b/tests/metagpt/roles/test_assistant.py @@ -30,6 +30,17 @@ async def test_run(mocker, context): language: str agent_description: str cause_by: str + agent_skills: list + + agent_skills = [ + {"id": 1, "name": "text_to_speech", "type": "builtin", "config": {}, "enabled": True}, + {"id": 2, "name": "text_to_image", "type": "builtin", "config": {}, "enabled": True}, + {"id": 3, "name": "ai_call", "type": "builtin", "config": {}, "enabled": True}, + {"id": 3, "name": "data_analysis", "type": "builtin", "config": {}, "enabled": True}, + {"id": 5, "name": "crawler", "type": "builtin", "config": {"engine": "ddg"}, "enabled": True}, + {"id": 6, "name": "knowledge", "type": "builtin", "config": {}, "enabled": True}, + {"id": 6, "name": "web_search", "type": "builtin", "config": {}, "enabled": True}, + ] inputs = [ { @@ -48,6 +59,7 @@ async def test_run(mocker, context): "language": "English", "agent_description": "chatterbox", "cause_by": any_to_str(TalkAction), + "agent_skills": [], }, { "memory": { @@ -65,24 +77,16 @@ async def test_run(mocker, context): "language": "English", "agent_description": "painter", "cause_by": any_to_str(SkillAction), + "agent_skills": agent_skills, }, ] - agent_skills = [ - {"id": 1, "name": "text_to_speech", "type": "builtin", "config": {}, "enabled": True}, - {"id": 2, "name": "text_to_image", "type": "builtin", "config": {}, "enabled": True}, - {"id": 3, "name": "ai_call", "type": "builtin", "config": {}, "enabled": True}, - {"id": 3, "name": "data_analysis", "type": "builtin", "config": {}, "enabled": True}, - {"id": 5, "name": "crawler", "type": "builtin", "config": {"engine": "ddg"}, "enabled": True}, - {"id": 6, "name": "knowledge", "type": "builtin", "config": {}, "enabled": True}, - {"id": 6, "name": "web_search", "type": "builtin", "config": {}, "enabled": True}, - ] for i in inputs: seed = Input(**i) role = Assistant(language="Chinese", context=context) role.context.kwargs.language = seed.language role.context.kwargs.agent_description = seed.agent_description - role.context.kwargs.agent_skills = agent_skills + role.context.kwargs.agent_skills = seed.agent_skills role.memory = seed.memory # Restore historical conversation content. while True: diff --git a/tests/metagpt/roles/test_tutorial_assistant.py b/tests/metagpt/roles/test_tutorial_assistant.py index c12c2b26e..732f346fd 100644 --- a/tests/metagpt/roles/test_tutorial_assistant.py +++ b/tests/metagpt/roles/test_tutorial_assistant.py @@ -6,11 +6,11 @@ @File : test_tutorial_assistant.py """ -import aiofiles import pytest from metagpt.const import TUTORIAL_PATH from metagpt.roles.tutorial_assistant import TutorialAssistant +from metagpt.utils.common import aread @pytest.mark.asyncio @@ -20,9 +20,8 @@ async def test_tutorial_assistant(language: str, topic: str, context): msg = await role.run(topic) assert TUTORIAL_PATH.exists() filename = msg.content - async with aiofiles.open(filename, mode="r", encoding="utf-8") as reader: - content = await reader.read() - assert "pip" in content + content = await aread(filename=filename) + assert "pip" in content if __name__ == "__main__": diff --git a/tests/metagpt/strategy/test_planner.py b/tests/metagpt/strategy/test_planner.py new file mode 100644 index 000000000..ff1c6da3f --- /dev/null +++ b/tests/metagpt/strategy/test_planner.py @@ -0,0 +1,37 @@ +from metagpt.schema import Plan, Task +from metagpt.strategy.planner import Planner +from metagpt.strategy.task_type import TaskType + +MOCK_TASK_MAP = { + "1": Task( + task_id="1", + instruction="test instruction for finished task", + task_type=TaskType.EDA.type_name, + dependent_task_ids=[], + code="some finished test code", + result="some finished test result", + is_finished=True, + ), + "2": Task( + task_id="2", + instruction="test instruction for current task", + task_type=TaskType.DATA_PREPROCESS.type_name, + dependent_task_ids=["1"], + ), +} +MOCK_PLAN = Plan( + goal="test goal", + tasks=list(MOCK_TASK_MAP.values()), + task_map=MOCK_TASK_MAP, + current_task_id="2", +) + + +def test_planner_get_plan_status(): + planner = Planner(plan=MOCK_PLAN) + status = planner.get_plan_status() + + assert "some finished test code" in status + assert "some finished test result" in status + assert "test instruction for current task" in status + assert TaskType.DATA_PREPROCESS.value.guidance in status # current task guidance diff --git a/tests/metagpt/test_repo_parser.py b/tests/metagpt/test_repo_parser.py index e355733f3..c2ec4d819 100644 --- a/tests/metagpt/test_repo_parser.py +++ b/tests/metagpt/test_repo_parser.py @@ -1,9 +1,11 @@ from pathlib import Path from pprint import pformat +import pytest + from metagpt.const import METAGPT_ROOT from metagpt.logs import logger -from metagpt.repo_parser import RepoParser +from metagpt.repo_parser import DotClassAttribute, DotClassMethod, DotReturn, RepoParser def test_repo_parser(): @@ -23,3 +25,140 @@ def test_error(): """_parse_file should return empty list when file not existed""" rsp = RepoParser._parse_file(Path("test_not_existed_file.py")) assert rsp == [] + + +@pytest.mark.parametrize( + ("v", "name", "type_", "default_", "compositions"), + [ + ("children : dict[str, 'ActionNode']", "children", "dict[str,ActionNode]", "", ["ActionNode"]), + ("context : str", "context", "str", "", []), + ("example", "example", "", "", []), + ("expected_type : Type", "expected_type", "Type", "", ["Type"]), + ("args : Optional[Dict]", "args", "Optional[Dict]", "", []), + ("rsp : Optional[Message] = Message.Default", "rsp", "Optional[Message]", "Message.Default", ["Message"]), + ( + "browser : Literal['chrome', 'firefox', 'edge', 'ie']", + "browser", + "Literal['chrome','firefox','edge','ie']", + "", + [], + ), + ( + "browser : Dict[ Message, Literal['chrome', 'firefox', 'edge', 'ie'] ]", + "browser", + "Dict[Message,Literal['chrome','firefox','edge','ie']]", + "", + ["Message"], + ), + ("attributes : List[ClassAttribute]", "attributes", "List[ClassAttribute]", "", ["ClassAttribute"]), + ("attributes = []", "attributes", "", "[]", []), + ( + "request_timeout: Optional[Union[float, Tuple[float, float]]]", + "request_timeout", + "Optional[Union[float,Tuple[float,float]]]", + "", + [], + ), + ], +) +def test_parse_member(v, name, type_, default_, compositions): + attr = DotClassAttribute.parse(v) + assert name == attr.name + assert type_ == attr.type_ + assert default_ == attr.default_ + assert compositions == attr.compositions + assert v == attr.description + + json_data = attr.model_dump_json() + v = DotClassAttribute.model_validate_json(json_data) + assert v == attr + + +@pytest.mark.parametrize( + ("line", "package_name", "info"), + [ + ( + '"metagpt.roles.architect.Architect" [color="black", fontcolor="black", label=<{Architect|constraints : str
goal : str
name : str
profile : str
|}>, shape="record", style="solid"];', + "metagpt.roles.architect.Architect", + "Architect|constraints : str\ngoal : str\nname : str\nprofile : str\n|", + ), + ( + '"metagpt.actions.skill_action.ArgumentsParingAction" [color="black", fontcolor="black", label=<{ArgumentsParingAction|args : Optional[Dict]
ask : str
prompt
rsp : Optional[Message]
skill
|parse_arguments(skill_name, txt): dict
run(with_message): Message
}>, shape="record", style="solid"];', + "metagpt.actions.skill_action.ArgumentsParingAction", + "ArgumentsParingAction|args : Optional[Dict]\nask : str\nprompt\nrsp : Optional[Message]\nskill\n|parse_arguments(skill_name, txt): dict\nrun(with_message): Message\n", + ), + ( + '"metagpt.strategy.base.BaseEvaluator" [color="black", fontcolor="black", label=<{BaseEvaluator|
|status_verify()
}>, shape="record", style="solid"];', + "metagpt.strategy.base.BaseEvaluator", + "BaseEvaluator|\n|status_verify()\n", + ), + ( + '"metagpt.configs.browser_config.BrowserConfig" [color="black", fontcolor="black", label=<{BrowserConfig|browser : Literal[\'chrome\', \'firefox\', \'edge\', \'ie\']
driver : Literal[\'chromium\', \'firefox\', \'webkit\']
engine
path : str
|}>, shape="record", style="solid"];', + "metagpt.configs.browser_config.BrowserConfig", + "BrowserConfig|browser : Literal['chrome', 'firefox', 'edge', 'ie']\ndriver : Literal['chromium', 'firefox', 'webkit']\nengine\npath : str\n|", + ), + ( + '"metagpt.tools.search_engine_serpapi.SerpAPIWrapper" [color="black", fontcolor="black", label=<{SerpAPIWrapper|aiosession : Optional[aiohttp.ClientSession]
model_config
params : dict
search_engine : Optional[Any]
serpapi_api_key : Optional[str]
|check_serpapi_api_key(val: str)
get_params(query: str): Dict[str, str]
results(query: str, max_results: int): dict
run(query, max_results: int, as_string: bool): str
}>, shape="record", style="solid"];', + "metagpt.tools.search_engine_serpapi.SerpAPIWrapper", + "SerpAPIWrapper|aiosession : Optional[aiohttp.ClientSession]\nmodel_config\nparams : dict\nsearch_engine : Optional[Any]\nserpapi_api_key : Optional[str]\n|check_serpapi_api_key(val: str)\nget_params(query: str): Dict[str, str]\nresults(query: str, max_results: int): dict\nrun(query, max_results: int, as_string: bool): str\n", + ), + ], +) +def test_split_class_line(line, package_name, info): + p, i = RepoParser._split_class_line(line) + assert p == package_name + assert i == info + + +@pytest.mark.parametrize( + ("v", "name", "args", "return_args"), + [ + ( + "arequest(method, url, params, headers, files, stream: Literal[True], request_id: Optional[str], request_timeout: Optional[Union[float, Tuple[float, float]]]): Tuple[AsyncGenerator[OpenAIResponse, None], bool, str]", + "arequest", + [ + DotClassAttribute(name="method", description="method"), + DotClassAttribute(name="url", description="url"), + DotClassAttribute(name="params", description="params"), + DotClassAttribute(name="headers", description="headers"), + DotClassAttribute(name="files", description="files"), + DotClassAttribute(name="stream", type_="Literal[True]", description="stream: Literal[True]"), + DotClassAttribute(name="request_id", type_="Optional[str]", description="request_id: Optional[str]"), + DotClassAttribute( + name="request_timeout", + type_="Optional[Union[float,Tuple[float,float]]]", + description="request_timeout: Optional[Union[float, Tuple[float, float]]]", + ), + ], + DotReturn( + type_="Tuple[AsyncGenerator[OpenAIResponse,None],bool,str]", + compositions=["AsyncGenerator", "OpenAIResponse"], + description="Tuple[AsyncGenerator[OpenAIResponse, None], bool, str]", + ), + ), + ( + "update(subject: str, predicate: str, object_: str)", + "update", + [ + DotClassAttribute(name="subject", type_="str", description="subject: str"), + DotClassAttribute(name="predicate", type_="str", description="predicate: str"), + DotClassAttribute(name="object_", type_="str", description="object_: str"), + ], + DotReturn(description=""), + ), + ], +) +def test_parse_method(v, name, args, return_args): + method = DotClassMethod.parse(v) + assert method.name == name + assert method.args == args + assert method.return_args == return_args + assert method.description == v + + json_data = method.model_dump_json() + v = DotClassMethod.model_validate_json(json_data) + assert v == method + + +if __name__ == "__main__": + pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/test_schema.py b/tests/metagpt/test_schema.py index a8fa27151..22f6ae9fb 100644 --- a/tests/metagpt/test_schema.py +++ b/tests/metagpt/test_schema.py @@ -18,9 +18,6 @@ from metagpt.actions.write_code import WriteCode from metagpt.const import SYSTEM_DESIGN_FILE_REPO, TASK_FILE_REPO from metagpt.schema import ( AIMessage, - ClassAttribute, - ClassMethod, - ClassView, CodeSummarizeContext, Document, Message, @@ -28,6 +25,9 @@ from metagpt.schema import ( Plan, SystemMessage, Task, + UMLClassAttribute, + UMLClassMethod, + UMLClassView, UserMessage, ) from metagpt.utils.common import any_to_str @@ -159,27 +159,26 @@ def test_CodeSummarizeContext(file_list, want): def test_class_view(): - attr_a = ClassAttribute(name="a", value_type="int", default_value="0", visibility="+", abstraction=True) - assert attr_a.get_mermaid(align=1) == "\t+int a=0*" - attr_b = ClassAttribute(name="b", value_type="str", default_value="0", visibility="#", static=True) - assert attr_b.get_mermaid(align=0) == '#str b="0"$' - class_view = ClassView(name="A") + attr_a = UMLClassAttribute(name="a", value_type="int", default_value="0", visibility="+") + assert attr_a.get_mermaid(align=1) == "\t+int a=0" + attr_b = UMLClassAttribute(name="b", value_type="str", default_value="0", visibility="#") + assert attr_b.get_mermaid(align=0) == '#str b="0"' + class_view = UMLClassView(name="A") class_view.attributes = [attr_a, attr_b] - method_a = ClassMethod(name="run", visibility="+", abstraction=True) - assert method_a.get_mermaid(align=1) == "\t+run()*" - method_b = ClassMethod( + method_a = UMLClassMethod(name="run", visibility="+") + assert method_a.get_mermaid(align=1) == "\t+run()" + method_b = UMLClassMethod( name="_test", visibility="#", - static=True, - args=[ClassAttribute(name="a", value_type="str"), ClassAttribute(name="b", value_type="int")], + args=[UMLClassAttribute(name="a", value_type="str"), UMLClassAttribute(name="b", value_type="int")], return_type="str", ) - assert method_b.get_mermaid(align=0) == "#_test(str a,int b):str$" + assert method_b.get_mermaid(align=0) == "#_test(str a,int b) str" class_view.methods = [method_a, method_b] assert ( class_view.get_mermaid(align=0) - == 'class A{\n\t+int a=0*\n\t#str b="0"$\n\t+run()*\n\t#_test(str a,int b):str$\n}\n' + == 'class A{\n\t+int a=0\n\t#str b="0"\n\t+run()\n\t#_test(str a,int b) str\n}\n' ) diff --git a/tests/metagpt/tools/libs/test_email_login.py b/tests/metagpt/tools/libs/test_email_login.py new file mode 100644 index 000000000..e98820f70 --- /dev/null +++ b/tests/metagpt/tools/libs/test_email_login.py @@ -0,0 +1,7 @@ +from metagpt.tools.libs.email_login import email_login_imap + + +def test_email_login(mocker): + mock_mailbox = mocker.patch("metagpt.tools.libs.email_login.MailBox.login") + mock_mailbox.login.return_value = mocker.Mock() + email_login_imap("test@outlook.com", "test_password") diff --git a/tests/metagpt/tools/libs/test_gpt_v_generator.py b/tests/metagpt/tools/libs/test_gpt_v_generator.py index 907006765..4a2e68682 100644 --- a/tests/metagpt/tools/libs/test_gpt_v_generator.py +++ b/tests/metagpt/tools/libs/test_gpt_v_generator.py @@ -60,18 +60,24 @@ async def test_generate_webpages(mock_webpage_filename_with_styles_and_scripts, async def test_save_webpages_with_styles_and_scripts(mock_webpage_filename_with_styles_and_scripts, image_path): generator = GPTvGenerator() webpages = await generator.generate_webpages(image_path) - webpages_dir = generator.save_webpages(image_path=image_path, webpages=webpages) + webpages_dir = generator.save_webpages(webpages=webpages, save_folder_name="test_1") logs.logger.info(webpages_dir) assert webpages_dir.exists() + assert (webpages_dir / "index.html").exists() + assert (webpages_dir / "styles.css").exists() + assert (webpages_dir / "scripts.js").exists() @pytest.mark.asyncio async def test_save_webpages_with_style_and_script(mock_webpage_filename_with_style_and_script, image_path): generator = GPTvGenerator() webpages = await generator.generate_webpages(image_path) - webpages_dir = generator.save_webpages(image_path=image_path, webpages=webpages) + webpages_dir = generator.save_webpages(webpages=webpages, save_folder_name="test_2") logs.logger.info(webpages_dir) assert webpages_dir.exists() + assert (webpages_dir / "index.html").exists() + assert (webpages_dir / "style.css").exists() + assert (webpages_dir / "script.js").exists() @pytest.mark.asyncio diff --git a/tests/metagpt/tools/libs/test_web_scraping.py b/tests/metagpt/tools/libs/test_web_scraping.py index c11960e68..3d8877b8d 100644 --- a/tests/metagpt/tools/libs/test_web_scraping.py +++ b/tests/metagpt/tools/libs/test_web_scraping.py @@ -4,8 +4,8 @@ from metagpt.tools.libs.web_scraping import scrape_web_playwright @pytest.mark.asyncio -async def test_scrape_web_playwright(): - test_url = "https://www.deepwisdom.ai" +async def test_scrape_web_playwright(http_server): + server, test_url = await http_server() result = await scrape_web_playwright(test_url) @@ -21,3 +21,4 @@ async def test_scrape_web_playwright(): assert not result["inner_text"].endswith(" ") assert not result["html"].startswith(" ") assert not result["html"].endswith(" ") + await server.stop() diff --git a/tests/metagpt/tools/test_search_engine.py b/tests/metagpt/tools/test_search_engine.py index a1f03ef7b..964ead02f 100644 --- a/tests/metagpt/tools/test_search_engine.py +++ b/tests/metagpt/tools/test_search_engine.py @@ -11,7 +11,6 @@ from typing import Callable import pytest -from metagpt.config2 import config from metagpt.configs.search_config import SearchConfig from metagpt.logs import logger from metagpt.tools import SearchEngineType @@ -53,14 +52,11 @@ async def test_search_engine( search_engine_config = {"engine": search_engine_type, "run_func": run_func} if search_engine_type is SearchEngineType.SERPAPI_GOOGLE: - assert config.search search_engine_config["api_key"] = "mock-serpapi-key" elif search_engine_type is SearchEngineType.DIRECT_GOOGLE: - assert config.search search_engine_config["api_key"] = "mock-google-key" search_engine_config["cse_id"] = "mock-google-cse" elif search_engine_type is SearchEngineType.SERPER_GOOGLE: - assert config.search search_engine_config["api_key"] = "mock-serper-key" async def test(search_engine): diff --git a/tests/metagpt/tools/test_tool_convert.py b/tests/metagpt/tools/test_tool_convert.py index 8f26a211c..061a619ce 100644 --- a/tests/metagpt/tools/test_tool_convert.py +++ b/tests/metagpt/tools/test_tool_convert.py @@ -1,44 +1,8 @@ +from typing import Literal, Union + import pandas as pd -from metagpt.tools.tool_convert import convert_code_to_tool_schema, docstring_to_schema - - -def test_docstring_to_schema(): - docstring = """ - Some test desc. - - Args: - features (list): Columns to be processed. - strategy (str, optional): The imputation strategy, notice 'mean' and 'median' can only be - used for numeric features. Enum: ['mean', 'median', 'most_frequent', 'constant']. Defaults to 'mean'. - fill_value (int, optional): Fill_value is used to replace all occurrences of missing_values. - Defaults to None. - Returns: - pd.DataFrame: The transformed DataFrame. - """ - expected = { - "description": "Some test desc.", - "parameters": { - "properties": { - "features": {"type": "list", "description": "Columns to be processed."}, - "strategy": { - "type": "str", - "description": "The imputation strategy, notice 'mean' and 'median' can only be used for numeric features. Enum: ['mean', 'median', 'most_frequent', 'constant']. Defaults to 'mean'.", - "default": "'mean'", - "enum": ["'mean'", "'median'", "'most_frequent'", "'constant'"], - }, - "fill_value": { - "type": "int", - "description": "Fill_value is used to replace all occurrences of missing_values. Defaults to None.", - "default": "None", - }, - }, - "required": ["features"], - }, - "returns": [{"type": "pd.DataFrame", "description": "The transformed DataFrame."}], - } - schema = docstring_to_schema(docstring) - assert schema == expected +from metagpt.tools.tool_convert import convert_code_to_tool_schema class DummyClass: @@ -81,12 +45,25 @@ class DummyClass: pass -def dummy_fn(df: pd.DataFrame) -> dict: +def dummy_fn( + df: pd.DataFrame, + s: str, + k: int = 5, + type: Literal["a", "b", "c"] = "a", + test_dict: dict[str, int] = None, + test_union: Union[str, list[str]] = "", +) -> dict: """ Analyzes a DataFrame and categorizes its columns based on data types. Args: - df (pd.DataFrame): The DataFrame to be analyzed. + df: The DataFrame to be analyzed. + Another line for df. + s (str): Some test string param. + Another line for s. + k (int, optional): Some test integer param. Defaults to 5. + type (Literal["a", "b", "c"], optional): Some test type. Defaults to 'a'. + more_args: will be omitted here for testing Returns: dict: A dictionary with four keys ('Category', 'Numeric', 'Datetime', 'Others'). @@ -115,41 +92,21 @@ def test_convert_code_to_tool_schema_class(): "methods": { "__init__": { "type": "function", - "description": "Initialize self.", - "parameters": { - "properties": { - "features": {"type": "list", "description": "Columns to be processed."}, - "strategy": { - "type": "str", - "description": "The imputation strategy, notice 'mean' and 'median' can only be used for numeric features. Enum: ['mean', 'median', 'most_frequent', 'constant']. Defaults to 'mean'.", - "default": "'mean'", - "enum": ["'mean'", "'median'", "'most_frequent'", "'constant'"], - }, - "fill_value": { - "type": "int", - "description": "Fill_value is used to replace all occurrences of missing_values. Defaults to None.", - "default": "None", - }, - }, - "required": ["features"], - }, + "description": "Initialize self. ", + "signature": "(self, features: list, strategy: str = 'mean', fill_value=None)", + "parameters": "Args: features (list): Columns to be processed. strategy (str, optional): The imputation strategy, notice 'mean' and 'median' can only be used for numeric features. Enum: ['mean', 'median', 'most_frequent', 'constant']. Defaults to 'mean'. fill_value (int, optional): Fill_value is used to replace all occurrences of missing_values. Defaults to None.", }, "fit": { "type": "function", - "description": "Fit the FillMissingValue model.", - "parameters": { - "properties": {"df": {"type": "pd.DataFrame", "description": "The input DataFrame."}}, - "required": ["df"], - }, + "description": "Fit the FillMissingValue model. ", + "signature": "(self, df: pandas.core.frame.DataFrame)", + "parameters": "Args: df (pd.DataFrame): The input DataFrame.", }, "transform": { "type": "function", - "description": "Transform the input DataFrame with the fitted model.", - "parameters": { - "properties": {"df": {"type": "pd.DataFrame", "description": "The input DataFrame."}}, - "required": ["df"], - }, - "returns": [{"type": "pd.DataFrame", "description": "The transformed DataFrame."}], + "description": "Transform the input DataFrame with the fitted model. ", + "signature": "(self, df: pandas.core.frame.DataFrame) -> pandas.core.frame.DataFrame", + "parameters": "Args: df (pd.DataFrame): The input DataFrame. Returns: pd.DataFrame: The transformed DataFrame.", }, }, } @@ -160,11 +117,9 @@ def test_convert_code_to_tool_schema_class(): def test_convert_code_to_tool_schema_function(): expected = { "type": "function", - "description": "Analyzes a DataFrame and categorizes its columns based on data types.", - "parameters": { - "properties": {"df": {"type": "pd.DataFrame", "description": "The DataFrame to be analyzed."}}, - "required": ["df"], - }, + "description": "Analyzes a DataFrame and categorizes its columns based on data types. ", + "signature": "(df: pandas.core.frame.DataFrame, s: str, k: int = 5, type: Literal['a', 'b', 'c'] = 'a', test_dict: dict[str, int] = None, test_union: Union[str, list[str]] = '') -> dict", + "parameters": "Args: df: The DataFrame to be analyzed. Another line for df. s (str): Some test string param. Another line for s. k (int, optional): Some test integer param. Defaults to 5. type (Literal[\"a\", \"b\", \"c\"], optional): Some test type. Defaults to 'a'. more_args: will be omitted here for testing Returns: dict: A dictionary with four keys ('Category', 'Numeric', 'Datetime', 'Others'). Each key corresponds to a list of column names belonging to that category.", } schema = convert_code_to_tool_schema(dummy_fn) assert schema == expected diff --git a/tests/metagpt/tools/test_tool_recommend.py b/tests/metagpt/tools/test_tool_recommend.py new file mode 100644 index 000000000..fafe0a638 --- /dev/null +++ b/tests/metagpt/tools/test_tool_recommend.py @@ -0,0 +1,90 @@ +import pytest + +from metagpt.schema import Plan, Task +from metagpt.tools import TOOL_REGISTRY +from metagpt.tools.tool_recommend import ( + BM25ToolRecommender, + ToolRecommender, + TypeMatchToolRecommender, +) + + +@pytest.fixture +def mock_plan(mocker): + task_map = { + "1": Task( + task_id="1", + instruction="conduct feature engineering, add new features on the dataset", + task_type="feature engineering", + ) + } + plan = Plan( + goal="test requirement", + tasks=list(task_map.values()), + task_map=task_map, + current_task_id="1", + ) + return plan + + +@pytest.fixture +def mock_bm25_tr(mocker): + tr = BM25ToolRecommender(tools=["FillMissingValue", "PolynomialExpansion", "web scraping"]) + return tr + + +def test_tr_init(): + tr = ToolRecommender(tools=["FillMissingValue", "PolynomialExpansion", "web scraping", "non-existing tool"]) + # web_scraping is a tool tag, it has one tool scrape_web_playwright + assert list(tr.tools.keys()) == [ + "FillMissingValue", + "PolynomialExpansion", + "scrape_web_playwright", + ] + + +def test_tr_init_default_tools_value(): + tr = ToolRecommender() + assert tr.tools == {} + + +def test_tr_init_tools_all(): + tr = ToolRecommender(tools=[""]) + assert list(tr.tools.keys()) == list(TOOL_REGISTRY.get_all_tools().keys()) + + +@pytest.mark.asyncio +async def test_bm25_tr_recall_with_plan(mock_plan, mock_bm25_tr): + result = await mock_bm25_tr.recall_tools(plan=mock_plan) + assert len(result) == 3 + assert result[0].name == "PolynomialExpansion" + + +@pytest.mark.asyncio +async def test_bm25_tr_recall_no_plan(mock_plan, mock_bm25_tr): + result = await mock_bm25_tr.recall_tools( + context="conduct feature engineering, add new features on the dataset", plan=None + ) + assert len(result) == 3 + assert result[0].name == "PolynomialExpansion" + + +@pytest.mark.asyncio +async def test_bm25_recommend_tools(mock_bm25_tr): + result = await mock_bm25_tr.recommend_tools(context="conduct feature engineering, add new features on the dataset") + assert len(result) == 2 # web scraping tool should be filtered out at rank stage + assert result[0].name == "PolynomialExpansion" + + +@pytest.mark.asyncio +async def test_get_recommended_tool_info(mock_plan, mock_bm25_tr): + result = await mock_bm25_tr.get_recommended_tool_info(plan=mock_plan) + assert isinstance(result, str) + + +@pytest.mark.asyncio +async def test_tm_tr_recall_with_plan(mock_plan, mock_bm25_tr): + tr = TypeMatchToolRecommender(tools=["FillMissingValue", "PolynomialExpansion", "web scraping"]) + result = await tr.recall_tools(plan=mock_plan) + assert len(result) == 1 + assert result[0].name == "PolynomialExpansion" diff --git a/tests/metagpt/tools/test_tool_registry.py b/tests/metagpt/tools/test_tool_registry.py index 2fd487fb7..f44dfea0b 100644 --- a/tests/metagpt/tools/test_tool_registry.py +++ b/tests/metagpt/tools/test_tool_registry.py @@ -1,7 +1,6 @@ import pytest from metagpt.tools.tool_registry import ToolRegistry -from metagpt.tools.tool_type import ToolType @pytest.fixture @@ -9,25 +8,11 @@ def tool_registry(): return ToolRegistry() -@pytest.fixture -def tool_registry_full(): - return ToolRegistry(tool_types=ToolType) - - # Test Initialization def test_initialization(tool_registry): assert isinstance(tool_registry, ToolRegistry) assert tool_registry.tools == {} - assert tool_registry.tool_types == {} - assert tool_registry.tools_by_types == {} - - -# Test Initialization with tool types -def test_initialize_with_tool_types(tool_registry_full): - assert isinstance(tool_registry_full, ToolRegistry) - assert tool_registry_full.tools == {} - assert tool_registry_full.tools_by_types == {} - assert "data_preprocess" in tool_registry_full.tool_types + assert tool_registry.tools_by_tags == {} class TestClassTool: @@ -72,31 +57,24 @@ def test_get_tool(tool_registry): assert "description" in tool.schemas -# Similar tests for has_tool_type, get_tool_type, get_tools_by_type -def test_has_tool_type(tool_registry_full): - assert tool_registry_full.has_tool_type("data_preprocess") - assert not tool_registry_full.has_tool_type("NonexistentType") +def test_has_tool_tag(tool_registry): + tool_registry.register_tool( + "TestClassTool", "/path/to/tool", tool_source_object=TestClassTool, tags=["machine learning", "test"] + ) + assert tool_registry.has_tool_tag("test") + assert not tool_registry.has_tool_tag("Non-existent tag") -def test_get_tool_type(tool_registry_full): - retrieved_type = tool_registry_full.get_tool_type("data_preprocess") - assert retrieved_type is not None - assert retrieved_type.name == "data_preprocess" - - -def test_get_tools_by_type(tool_registry): - tool_type_name = "TestType" +def test_get_tools_by_tag(tool_registry): + tool_tag_name = "Test Tag" tool_name = "TestTool" tool_path = "/path/to/tool" - tool_registry.register_tool(tool_name, tool_path, tool_type=tool_type_name, tool_source_object=TestClassTool) + tool_registry.register_tool(tool_name, tool_path, tags=[tool_tag_name], tool_source_object=TestClassTool) - tools_by_type = tool_registry.get_tools_by_type(tool_type_name) - assert tools_by_type is not None - assert tool_name in tools_by_type + tools_by_tag = tool_registry.get_tools_by_tag(tool_tag_name) + assert tools_by_tag is not None + assert tool_name in tools_by_tag - -# Test case for when the tool type does not exist -def test_get_tools_by_nonexistent_type(tool_registry): - tools_by_type = tool_registry.get_tools_by_type("NonexistentType") - assert not tools_by_type + tools_by_tag_non_existent = tool_registry.get_tools_by_tag("Non-existent Tag") + assert not tools_by_tag_non_existent diff --git a/tests/metagpt/tools/test_web_browser_engine.py b/tests/metagpt/tools/test_web_browser_engine.py index ceebd67fc..7a344e0ad 100644 --- a/tests/metagpt/tools/test_web_browser_engine.py +++ b/tests/metagpt/tools/test_web_browser_engine.py @@ -9,14 +9,16 @@ from metagpt.utils.parse_html import WebPage @pytest.mark.asyncio @pytest.mark.parametrize( - "browser_type, url, urls", + "browser_type", [ - (WebBrowserEngineType.PLAYWRIGHT, "https://deepwisdom.ai", ("https://deepwisdom.ai",)), - (WebBrowserEngineType.SELENIUM, "https://deepwisdom.ai", ("https://deepwisdom.ai",)), + WebBrowserEngineType.PLAYWRIGHT, + WebBrowserEngineType.SELENIUM, ], ids=["playwright", "selenium"], ) -async def test_scrape_web_page(browser_type, url, urls): +async def test_scrape_web_page(browser_type, http_server): + server, url = await http_server() + urls = [url, url, url] browser = web_browser_engine.WebBrowserEngine(engine=browser_type) result = await browser.run(url) assert isinstance(result, WebPage) @@ -27,6 +29,7 @@ async def test_scrape_web_page(browser_type, url, urls): assert isinstance(results, list) assert len(results) == len(urls) + 1 assert all(("MetaGPT" in i.inner_text) for i in results) + await server.stop() if __name__ == "__main__": diff --git a/tests/metagpt/tools/test_web_browser_engine_playwright.py b/tests/metagpt/tools/test_web_browser_engine_playwright.py index f35848cf4..12ea96d7b 100644 --- a/tests/metagpt/tools/test_web_browser_engine_playwright.py +++ b/tests/metagpt/tools/test_web_browser_engine_playwright.py @@ -9,18 +9,28 @@ from metagpt.utils.parse_html import WebPage @pytest.mark.asyncio @pytest.mark.parametrize( - "browser_type, use_proxy, kwagrs, url, urls", + "browser_type, use_proxy, kwagrs,", [ - ("chromium", {"proxy": True}, {}, "https://www.deepwisdom.ai", ("https://www.deepwisdom.ai",)), - ("firefox", {}, {"ignore_https_errors": True}, "https://www.deepwisdom.ai", ("https://www.deepwisdom.ai",)), - ("webkit", {}, {"ignore_https_errors": True}, "https://www.deepwisdom.ai", ("https://www.deepwisdom.ai",)), + ("chromium", {"proxy": True}, {}), + ( + "firefox", + {}, + {"ignore_https_errors": True}, + ), + ( + "webkit", + {}, + {"ignore_https_errors": True}, + ), ], ids=["chromium-normal", "firefox-normal", "webkit-normal"], ) -async def test_scrape_web_page(browser_type, use_proxy, kwagrs, url, urls, proxy, capfd): +async def test_scrape_web_page(browser_type, use_proxy, kwagrs, proxy, capfd, http_server): + server, url = await http_server() + urls = [url, url, url] proxy_url = None if use_proxy: - server, proxy_url = await proxy() + proxy_server, proxy_url = await proxy() browser = web_browser_engine_playwright.PlaywrightWrapper(browser_type=browser_type, proxy=proxy_url, **kwagrs) result = await browser.run(url) assert isinstance(result, WebPage) @@ -32,8 +42,10 @@ async def test_scrape_web_page(browser_type, use_proxy, kwagrs, url, urls, proxy assert len(results) == len(urls) + 1 assert all(("MetaGPT" in i.inner_text) for i in results) if use_proxy: - server.close() + proxy_server.close() + await proxy_server.wait_closed() assert "Proxy:" in capfd.readouterr().out + await server.stop() if __name__ == "__main__": diff --git a/tests/metagpt/tools/test_web_browser_engine_selenium.py b/tests/metagpt/tools/test_web_browser_engine_selenium.py index a88a5d0f4..a214748bd 100644 --- a/tests/metagpt/tools/test_web_browser_engine_selenium.py +++ b/tests/metagpt/tools/test_web_browser_engine_selenium.py @@ -1,6 +1,7 @@ #!/usr/bin/env python # -*- coding: utf-8 -*- + import browsers import pytest @@ -10,51 +11,48 @@ from metagpt.utils.parse_html import WebPage @pytest.mark.asyncio @pytest.mark.parametrize( - "browser_type, use_proxy, url, urls", + "browser_type, use_proxy,", [ pytest.param( "chrome", - True, - "https://deepwisdom.ai", - ("https://deepwisdom.ai",), + False, marks=pytest.mark.skipif(not browsers.get("chrome"), reason="chrome browser not found"), ), pytest.param( "firefox", False, - "https://deepwisdom.ai", - ("https://deepwisdom.ai",), marks=pytest.mark.skipif(not browsers.get("firefox"), reason="firefox browser not found"), ), pytest.param( "edge", False, - "https://deepwisdom.ai", - ("https://deepwisdom.ai",), marks=pytest.mark.skipif(not browsers.get("msedge"), reason="edge browser not found"), ), ], ids=["chrome-normal", "firefox-normal", "edge-normal"], ) -async def test_scrape_web_page(browser_type, use_proxy, url, urls, proxy, capfd): +async def test_scrape_web_page(browser_type, use_proxy, proxy, capfd, http_server): # Prerequisites # firefox, chrome, Microsoft Edge + server, url = await http_server() + urls = [url, url, url] proxy_url = None if use_proxy: - server, proxy_url = await proxy() + proxy_server, proxy_url = await proxy() browser = web_browser_engine_selenium.SeleniumWrapper(browser_type=browser_type, proxy=proxy_url) result = await browser.run(url) assert isinstance(result, WebPage) assert "MetaGPT" in result.inner_text - if urls: - results = await browser.run(url, *urls) - assert isinstance(results, list) - assert len(results) == len(urls) + 1 - assert all(("MetaGPT" in i.inner_text) for i in results) + results = await browser.run(url, *urls) + assert isinstance(results, list) + assert len(results) == len(urls) + 1 + assert all(("MetaGPT" in i.inner_text) for i in results) if use_proxy: - server.close() - assert "Proxy:" in capfd.readouterr().out + proxy_server.close() + await proxy_server.wait_closed() + assert "Proxy: localhost" in capfd.readouterr().out + await server.stop() if __name__ == "__main__": diff --git a/tests/metagpt/utils/test_common.py b/tests/metagpt/utils/test_common.py index 9b1fa878e..75e8ef4ad 100644 --- a/tests/metagpt/utils/test_common.py +++ b/tests/metagpt/utils/test_common.py @@ -13,7 +13,6 @@ import uuid from pathlib import Path from typing import Any, Set -import aiofiles import pytest from pydantic import BaseModel @@ -125,9 +124,7 @@ class TestGetProjectRoot: async def test_parse_data_exception(self, filename, want): pathname = Path(__file__).parent.parent.parent / "data/output_parser" / filename assert pathname.exists() - async with aiofiles.open(str(pathname), mode="r") as reader: - data = await reader.read() - + data = await aread(filename=pathname) result = OutputParser.parse_data(data=data) assert want in result @@ -178,7 +175,7 @@ class TestGetProjectRoot: ], ) def test_split_namespace(self, val, want): - res = split_namespace(val) + res = split_namespace(val, maxsplit=-1) assert res == want def test_read_json_file(self): @@ -198,12 +195,25 @@ class TestGetProjectRoot: @pytest.mark.asyncio async def test_read_write(self): - pathname = Path(__file__).parent / uuid.uuid4().hex / "test.tmp" + pathname = Path(__file__).parent / f"../../../workspace/unittest/{uuid.uuid4().hex}" / "test.tmp" await awrite(pathname, "ABC") data = await aread(pathname) assert data == "ABC" pathname.unlink(missing_ok=True) + @pytest.mark.asyncio + async def test_read_write_error_charset(self): + pathname = Path(__file__).parent / f"../../../workspace/unittest/{uuid.uuid4().hex}" / "test.txt" + content = "中国abc123\u27f6" + await awrite(filename=pathname, data=content) + data = await aread(filename=pathname) + assert data == content + + content = "GB18030 是中国国家标准局发布的新一代中文字符集标准，是 GBK 的升级版，支持更广泛的字符范围。" + await awrite(filename=pathname, data=content, encoding="gb2312") + data = await aread(filename=pathname, encoding="utf-8") + assert data == content + if __name__ == "__main__": pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/utils/test_git_repository.py b/tests/metagpt/utils/test_git_repository.py index ea28b8f0b..480a22e24 100644 --- a/tests/metagpt/utils/test_git_repository.py +++ b/tests/metagpt/utils/test_git_repository.py @@ -10,15 +10,14 @@ import shutil from pathlib import Path -import aiofiles import pytest +from metagpt.utils.common import awrite from metagpt.utils.git_repository import GitRepository async def mock_file(filename, content=""): - async with aiofiles.open(str(filename), mode="w") as file: - await file.write(content) + await awrite(filename=filename, data=content) async def mock_repo(local_path) -> (GitRepository, Path): diff --git a/tests/metagpt/utils/test_mermaid.py b/tests/metagpt/utils/test_mermaid.py index 7e9129314..7367463dc 100644 --- a/tests/metagpt/utils/test_mermaid.py +++ b/tests/metagpt/utils/test_mermaid.py @@ -14,7 +14,7 @@ from metagpt.utils.mermaid import MMC1, mermaid_to_file @pytest.mark.asyncio @pytest.mark.parametrize("engine", ["nodejs", "ink"]) # TODO: playwright and pyppeteer -async def test_mermaid(engine, context): +async def test_mermaid(engine, context, mermaid_mocker): # nodejs prerequisites: npm install -g @mermaid-js/mermaid-cli # ink prerequisites: connected to internet # playwright prerequisites: playwright install --with-deps chromium diff --git a/tests/metagpt/utils/test_repair_llm_raw_output.py b/tests/metagpt/utils/test_repair_llm_raw_output.py index e28423b91..7a29ea3ee 100644 --- a/tests/metagpt/utils/test_repair_llm_raw_output.py +++ b/tests/metagpt/utils/test_repair_llm_raw_output.py @@ -211,6 +211,11 @@ value output = repair_invalid_json(output, "Expecting ',' delimiter: line 4 column 1") assert output == target_output + raw_output = '{"key": "url "http" \\"https\\" "}' + target_output = '{"key": "url \\"http\\" \\"https\\" "}' + output = repair_invalid_json(raw_output, "Expecting ',' delimiter: line 1 column 15 (char 14)") + assert output == target_output + def test_retry_parse_json_text(): from metagpt.utils.repair_llm_raw_output import retry_parse_json_text diff --git a/tests/metagpt/utils/test_repo_to_markdown.py b/tests/metagpt/utils/test_repo_to_markdown.py new file mode 100644 index 000000000..914c50dd7 --- /dev/null +++ b/tests/metagpt/utils/test_repo_to_markdown.py @@ -0,0 +1,25 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +import uuid +from pathlib import Path + +import pytest + +from metagpt.utils.repo_to_markdown import repo_to_markdown + + +@pytest.mark.parametrize( + ["repo_path", "output"], + [(Path(__file__).parent.parent, Path(__file__).parent.parent.parent / f"workspace/unittest/{uuid.uuid4().hex}.md")], +) +@pytest.mark.asyncio +async def test_repo_to_markdown(repo_path: Path, output: Path): + markdown = await repo_to_markdown(repo_path=repo_path, output=output) + assert output.exists() + assert markdown + + output.unlink(missing_ok=True) + + +if __name__ == "__main__": + pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/utils/test_s3.py b/tests/metagpt/utils/test_s3.py index b26ebe94d..ef13c2325 100644 --- a/tests/metagpt/utils/test_s3.py +++ b/tests/metagpt/utils/test_s3.py @@ -9,10 +9,10 @@ import uuid from pathlib import Path import aioboto3 -import aiofiles import pytest from metagpt.config2 import Config +from metagpt.configs.s3_config import S3Config from metagpt.utils.common import aread from metagpt.utils.s3 import S3 @@ -30,6 +30,14 @@ async def test_s3(mocker): mock_client.__aenter__.return_value = mock_client mock_client.__aexit__.return_value = None mocker.patch.object(aioboto3.Session, "client", return_value=mock_client) + mock_config = mocker.Mock() + mock_config.s3 = S3Config( + access_key="mock_access_key", + secret_key="mock_secret_key", + endpoint="http://mock.endpoint", + bucket="mock_bucket", + ) + mocker.patch.object(Config, "default", return_value=mock_config) # Prerequisites s3 = Config.default().s3 @@ -37,7 +45,7 @@ async def test_s3(mocker): conn = S3(s3) object_name = "unittest.bak" await conn.upload_file(bucket=s3.bucket, local_path=__file__, object_name=object_name) - pathname = (Path(__file__).parent / uuid.uuid4().hex).with_suffix(".bak") + pathname = (Path(__file__).parent / "../../../workspace/unittest" / uuid.uuid4().hex).with_suffix(".bak") pathname.unlink(missing_ok=True) await conn.download_file(bucket=s3.bucket, object_name=object_name, local_path=str(pathname)) assert pathname.exists() @@ -45,8 +53,7 @@ async def test_s3(mocker): assert url bin_data = await conn.get_object(bucket=s3.bucket, object_name=object_name) assert bin_data - async with aiofiles.open(__file__, mode="r", encoding="utf-8") as reader: - data = await reader.read() + data = await aread(filename=__file__) res = await conn.cache(data, ".bak", "script") assert "http" in res @@ -60,8 +67,6 @@ async def test_s3(mocker): except Exception: pass - await reader.close() - if __name__ == "__main__": pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/utils/test_save_code.py b/tests/metagpt/utils/test_save_code.py index 35ad84baf..aceecec3b 100644 --- a/tests/metagpt/utils/test_save_code.py +++ b/tests/metagpt/utils/test_save_code.py @@ -6,7 +6,7 @@ import nbformat import pytest -from metagpt.actions.ci.execute_nb_code import ExecuteNbCode +from metagpt.actions.di.execute_nb_code import ExecuteNbCode from metagpt.utils.common import read_json_file from metagpt.utils.save_code import DATA_PATH, save_code_file diff --git a/tests/metagpt/utils/test_text.py b/tests/metagpt/utils/test_text.py index 7003c7767..319a4ebe0 100644 --- a/tests/metagpt/utils/test_text.py +++ b/tests/metagpt/utils/test_text.py @@ -22,7 +22,7 @@ def _paragraphs(n): @pytest.mark.parametrize( "msgs, model_name, system_text, reserved, expected", [ - (_msgs(), "gpt-3.5-turbo", "System", 1500, 1), + (_msgs(), "gpt-3.5-turbo-0613", "System", 1500, 1), (_msgs(), "gpt-3.5-turbo-16k", "System", 3000, 6), (_msgs(), "gpt-3.5-turbo-16k", "Hello," * 1000, 3000, 5), (_msgs(), "gpt-4", "System", 2000, 3), @@ -32,21 +32,23 @@ def _paragraphs(n): ], ) def test_reduce_message_length(msgs, model_name, system_text, reserved, expected): - assert len(reduce_message_length(msgs, model_name, system_text, reserved)) / (len("Hello,")) / 1000 == expected + length = len(reduce_message_length(msgs, model_name, system_text, reserved)) / (len("Hello,")) / 1000 + assert length == expected @pytest.mark.parametrize( "text, prompt_template, model_name, system_text, reserved, expected", [ - (" ".join("Hello World." for _ in range(1000)), "Prompt: {}", "gpt-3.5-turbo", "System", 1500, 2), + (" ".join("Hello World." for _ in range(1000)), "Prompt: {}", "gpt-3.5-turbo-0613", "System", 1500, 2), (" ".join("Hello World." for _ in range(1000)), "Prompt: {}", "gpt-3.5-turbo-16k", "System", 3000, 1), (" ".join("Hello World." for _ in range(4000)), "Prompt: {}", "gpt-4", "System", 2000, 2), (" ".join("Hello World." for _ in range(8000)), "Prompt: {}", "gpt-4-32k", "System", 4000, 1), + (" ".join("Hello World" for _ in range(8000)), "Prompt: {}", "gpt-3.5-turbo-0613", "System", 1000, 8), ], ) def test_generate_prompt_chunk(text, prompt_template, model_name, system_text, reserved, expected): - ret = list(generate_prompt_chunk(text, prompt_template, model_name, system_text, reserved)) - assert len(ret) == expected + chunk = len(list(generate_prompt_chunk(text, prompt_template, model_name, system_text, reserved))) + assert chunk == expected @pytest.mark.parametrize( diff --git a/tests/metagpt/utils/test_tree.py b/tests/metagpt/utils/test_tree.py new file mode 100644 index 000000000..03a2a5606 --- /dev/null +++ b/tests/metagpt/utils/test_tree.py @@ -0,0 +1,64 @@ +from pathlib import Path +from typing import List + +import pytest + +from metagpt.utils.tree import _print_tree, tree + + +@pytest.mark.parametrize( + ("root", "rules"), + [ + (str(Path(__file__).parent / "../.."), None), + (str(Path(__file__).parent / "../.."), str(Path(__file__).parent / "../../../.gitignore")), + ], +) +def test_tree(root: str, rules: str): + v = tree(root=root, gitignore=rules) + assert v + + +@pytest.mark.parametrize( + ("root", "rules"), + [ + (str(Path(__file__).parent / "../.."), None), + (str(Path(__file__).parent / "../.."), str(Path(__file__).parent / "../../../.gitignore")), + ], +) +def test_tree_command(root: str, rules: str): + v = tree(root=root, gitignore=rules, run_command=True) + assert v + + +@pytest.mark.parametrize( + ("tree", "want"), + [ + ({"a": {"b": {}, "c": {}}}, ["a", "+-- b", "+-- c"]), + ({"a": {"b": {}, "c": {"d": {}}}}, ["a", "+-- b", "+-- c", " +-- d"]), + ( + {"a": {"b": {"e": {"f": {}, "g": {}}}, "c": {"d": {}}}}, + ["a", "+-- b", "| +-- e", "| +-- f", "| +-- g", "+-- c", " +-- d"], + ), + ( + {"h": {"a": {"b": {"e": {"f": {}, "g": {}}}, "c": {"d": {}}}, "i": {}}}, + [ + "h", + "+-- a", + "| +-- b", + "| | +-- e", + "| | +-- f", + "| | +-- g", + "| +-- c", + "| +-- d", + "+-- i", + ], + ), + ], +) +def test__print_tree(tree: dict, want: List[str]): + v = _print_tree(tree) + assert v == want + + +if __name__ == "__main__": + pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/utils/test_visual_graph_repo.py b/tests/metagpt/utils/test_visual_graph_repo.py new file mode 100644 index 000000000..7f696b4bc --- /dev/null +++ b/tests/metagpt/utils/test_visual_graph_repo.py @@ -0,0 +1,45 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2024/1/4 +@Author : mashenquan +@File : test_visual_graph_repo.py +@Desc : Unit tests for testing and demonstrating the usage of VisualDiGraphRepo. +""" + +import re +from pathlib import Path + +import pytest + +from metagpt.utils.common import remove_affix, split_namespace +from metagpt.utils.visual_graph_repo import VisualDiGraphRepo + + +@pytest.mark.asyncio +async def test_visual_di_graph_repo(context, mocker): + filename = Path(__file__).parent / "../../data/graph_db/networkx.sequence_view.json" + repo = await VisualDiGraphRepo.load_from(filename=filename) + + class_view = await repo.get_mermaid_class_view() + assert class_view + await context.repo.resources.graph_repo.save(filename="class_view.md", content=f"```mermaid\n{class_view}\n```\n") + + sequence_views = await repo.get_mermaid_sequence_views() + assert sequence_views + for ns, sqv in sequence_views: + filename = re.sub(r"[:/\\\.]+", "_", ns) + ".sequence_view.md" + sqv = sqv.strip(" `") + await context.repo.resources.graph_repo.save(filename=filename, content=f"```mermaid\n{sqv}\n```\n") + + sequence_view_vers = await repo.get_mermaid_sequence_view_versions() + assert sequence_view_vers + for ns, sqv in sequence_view_vers: + ver, sqv = split_namespace(sqv) + filename = re.sub(r"[:/\\\.]+", "_", ns) + f".{ver}.sequence_view_ver.md" + sqv = remove_affix(sqv).strip(" `") + await context.repo.resources.graph_repo.save(filename=filename, content=f"```mermaid\n{sqv}\n```\n") + + +if __name__ == "__main__": + pytest.main([__file__, "-s"]) diff --git a/tests/mock/mock_aiohttp.py b/tests/mock/mock_aiohttp.py index a7c022a4b..ca98ed8b5 100644 --- a/tests/mock/mock_aiohttp.py +++ b/tests/mock/mock_aiohttp.py @@ -10,6 +10,7 @@ class MockAioResponse: check_funcs: dict[tuple[str, str], Callable[[dict], str]] = {} rsp_cache: dict[str, str] = {} name = "aiohttp" + status = 200 def __init__(self, session, method, url, **kwargs) -> None: fn = self.check_funcs.get((method, url)) @@ -22,6 +23,7 @@ class MockAioResponse: async def __aenter__(self): if self.response: await self.response.__aenter__() + self.status = self.response.status elif self.mng: self.response = await self.mng.__aenter__() return self @@ -41,6 +43,17 @@ class MockAioResponse: self.rsp_cache[self.key] = data return data + @property + def content(self): + return self + + async def read(self): + if self.key in self.rsp_cache: + return eval(self.rsp_cache[self.key]) + data = await self.response.content.read() + self.rsp_cache[self.key] = str(data) + return data + def raise_for_status(self): if self.response: self.response.raise_for_status() diff --git a/tests/mock/mock_llm.py b/tests/mock/mock_llm.py index 50e75dabf..c4262e080 100644 --- a/tests/mock/mock_llm.py +++ b/tests/mock/mock_llm.py @@ -3,8 +3,9 @@ from typing import Optional, Union from metagpt.config2 import config from metagpt.configs.llm_config import LLMType -from metagpt.logs import log_llm_stream, logger +from metagpt.logs import logger from metagpt.provider.azure_openai_api import AzureOpenAILLM +from metagpt.provider.constant import GENERAL_FUNCTION_SCHEMA from metagpt.provider.openai_api import OpenAILLM from metagpt.schema import Message @@ -24,31 +25,21 @@ class MockLLM(OriginalLLM): async def acompletion_text(self, messages: list[dict], stream=False, timeout=3) -> str: """Overwrite original acompletion_text to cancel retry""" if stream: - resp = self._achat_completion_stream(messages, timeout=timeout) - - collected_messages = [] - async for i in resp: - log_llm_stream(i) - collected_messages.append(i) - - full_reply_content = "".join(collected_messages) - usage = self._calc_usage(messages, full_reply_content) - self._update_costs(usage) - return full_reply_content + resp = await self._achat_completion_stream(messages, timeout=timeout) + return resp rsp = await self._achat_completion(messages, timeout=timeout) return self.get_choice_text(rsp) async def original_aask( self, - msg: str, + msg: Union[str, list[dict[str, str]]], system_msgs: Optional[list[str]] = None, format_msgs: Optional[list[dict[str, str]]] = None, images: Optional[Union[str, list[str]]] = None, timeout=3, stream=True, - ): - """A copy of metagpt.provider.base_llm.BaseLLM.aask, we can't use super().aask because it will be mocked""" + ) -> str: if system_msgs: message = self._system_msgs(system_msgs) else: @@ -57,7 +48,11 @@ class MockLLM(OriginalLLM): message = [] if format_msgs: message.extend(format_msgs) - message.append(self._user_msg(msg, images=images)) + if isinstance(msg, str): + message.append(self._user_msg(msg, images=images)) + else: + message.extend(msg) + logger.debug(message) rsp = await self.acompletion_text(message, stream=stream, timeout=timeout) return rsp @@ -76,19 +71,27 @@ class MockLLM(OriginalLLM): A copy of metagpt.provider.openai_api.OpenAILLM.aask_code, we can't use super().aask because it will be mocked. Since openai_api.OpenAILLM.aask_code is different from base_llm.BaseLLM.aask_code, we use the former. """ + if "tools" not in kwargs: + configs = {"tools": [{"type": "function", "function": GENERAL_FUNCTION_SCHEMA}]} + kwargs.update(configs) rsp = await self._achat_completion_function(messages, **kwargs) return self.get_choice_function_arguments(rsp) async def aask( self, - msg: str, + msg: Union[str, list[dict[str, str]]], system_msgs: Optional[list[str]] = None, format_msgs: Optional[list[dict[str, str]]] = None, images: Optional[Union[str, list[str]]] = None, timeout=3, stream=True, ) -> str: - msg_key = msg # used to identify it a message has been called before + # used to identify it a message has been called before + if isinstance(msg, list): + msg_key = "#MSG_SEP#".join([m["content"] for m in msg]) + else: + msg_key = msg + if system_msgs: joined_system_msg = "#MSG_SEP#".join(system_msgs) + "#SYSTEM_MSG_END#" msg_key = joined_system_msg + msg_key @@ -101,8 +104,7 @@ class MockLLM(OriginalLLM): return rsp async def aask_code(self, messages: Union[str, Message, list[dict]], **kwargs) -> dict: - messages = self._process_message(messages) - msg_key = json.dumps(messages, ensure_ascii=False) + msg_key = json.dumps(self.format_msg(messages), ensure_ascii=False) rsp = await self._mock_rsp(msg_key, self.original_aask_code, messages, **kwargs) return rsp diff --git a/tests/spark.yaml b/tests/spark.yaml deleted file mode 100644 index a5bbd98bd..000000000 --- a/tests/spark.yaml +++ /dev/null @@ -1,7 +0,0 @@ -llm: - api_type: "spark" - app_id: "xxx" - api_key: "xxx" - api_secret: "xxx" - domain: "generalv2" - base_url: "wss://spark-api.xf-yun.com/v3.1/chat" \ No newline at end of file