From 6046f9c9421bbc769f50f2628039f65f45e60bf4 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 5 Sep 2023 21:52:13 +0800 Subject: [PATCH 01/30] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E5=86=85=E5=AE=B9?= =?UTF-8?q?=EF=BC=9A=20=E8=B0=83=E6=95=B4llm=E5=BC=95=E7=94=A8=E6=A8=A1?= =?UTF-8?q?=E5=BC=8F=20=E6=B7=BB=E5=8A=A0=E5=AF=B9=E6=98=9F=E7=81=AB?= =?UTF-8?q?=E5=A4=A7=E6=A8=A1=E5=9E=8B=E7=9A=84=E6=94=AF=E6=8C=81=20?= =?UTF-8?q?=E5=9C=A8=E6=A8=A1=E5=9E=8B=E6=8A=A5=E9=94=99=E6=97=B6=E5=8F=AF?= =?UTF-8?q?=E4=BB=A5=E4=BA=BA=E5=B7=A5=E8=BE=93=E5=85=A5=20=E5=8F=AF?= =?UTF-8?q?=E4=BB=A5=E9=80=9A=E8=BF=87config=E7=9B=B4=E6=8E=A5=E5=85=A8?= =?UTF-8?q?=E4=BA=BA=E5=B7=A5=E8=BE=93=E5=85=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- config/config.yaml | 13 +++ examples/llm_hello_world.py | 5 +- metagpt/actions/action.py | 48 ++++++-- metagpt/actions/write_prd.py | 1 + metagpt/config.py | 10 ++ metagpt/llm.py | 5 +- metagpt/management/skill_manager.py | 4 +- metagpt/manager.py | 4 +- metagpt/prompts/generate_skill.md | 4 +- metagpt/provider/SparkApi.py | 137 +++++++++++++++++++++++ metagpt/provider/spark_api.py | 57 ++++++++++ metagpt/roles/role.py | 4 +- requirements.txt | 4 +- startup.py | 2 +- tests/metagpt/actions/test_write_code.py | 4 +- tests/metagpt/roles/mock.py | 2 +- tests/metagpt/test_llm.py | 2 +- webui.py | 0 18 files changed, 277 insertions(+), 29 deletions(-) create mode 100644 metagpt/provider/SparkApi.py create mode 100644 metagpt/provider/spark_api.py create mode 100644 webui.py diff --git a/config/config.yaml b/config/config.yaml index 274cdf469..c1f3abd28 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -15,6 +15,19 @@ RPM: 10 #### if Anthropic #Anthropic_API_KEY: "YOUR_API_KEY" +#### if xinghuo +#xinghuo_appid : "APPID" +#xinghuo_api_secret : "APISecret" +#xinghuo_api_key : "APIKey" + +#domain : "generalv2" + +#Spark_url : "ws://spark-api.xf-yun.com/v2.1/chat" + +#### 如果不能使用api + +#no_api_mode :"true" + #### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb #OPENAI_API_TYPE: "azure" diff --git a/examples/llm_hello_world.py b/examples/llm_hello_world.py index 3ba03eea0..d6d24b688 100644 --- a/examples/llm_hello_world.py +++ b/examples/llm_hello_world.py @@ -7,12 +7,11 @@ """ import asyncio -from metagpt.llm import LLM, Claude -from metagpt.logs import logger +import metagpt.llm as LLM async def main(): - llm = LLM() + llm=LLM.DEFAULT_LLM claude = Claude() logger.info(await claude.aask('你好，请进行自我介绍')) logger.info(await llm.aask('hello world')) diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py index fa0d592a3..748300561 100644 --- a/metagpt/actions/action.py +++ b/metagpt/actions/action.py @@ -11,15 +11,16 @@ from typing import Optional from tenacity import retry, stop_after_attempt, wait_fixed from metagpt.actions.action_output import ActionOutput -from metagpt.llm import LLM +import metagpt.llm as LLM from metagpt.utils.common import OutputParser from metagpt.logs import logger +from metagpt.config import CONFIG class Action(ABC): def __init__(self, name: str = '', context=None, llm: LLM = None): self.name: str = name if llm is None: - llm = LLM() + llm=LLM.DEFAULT_LLM self.llm = llm self.context = context self.prefix = "" @@ -54,13 +55,42 @@ class Action(ABC): if not system_msgs: system_msgs = [] system_msgs.append(self.prefix) - content = await self.llm.aask(prompt, system_msgs) - logger.debug(content) - output_class = ActionOutput.create_model_class(output_class_name, output_data_mapping) - parsed_data = OutputParser.parse_data_with_mapping(content, output_data_mapping) - logger.debug(parsed_data) - instruct_content = output_class(**parsed_data) - return ActionOutput(content, instruct_content) + if not CONFIG.no_api_mode: + content = await self.llm.aask(prompt, system_msgs) + logger.debug(content) + output_class = ActionOutput.create_model_class(output_class_name, output_data_mapping) + parsed_data = OutputParser.parse_data_with_mapping(content, output_data_mapping) + logger.debug(parsed_data) + try: + instruct_content = output_class(**parsed_data) + return ActionOutput(content, instruct_content) + except Exception as e: + print('Error:',e) + print('自动运行出错，切换为手动运行') + print('prompt为') + print('\n'.join( system_msgs)+prompt) + print('输入格式:') + print(output_data_mapping) + print('请准备输入,输入完成按ctrl+Z') + while True: + try: + lines=[] + while True: + try: + lines.append(input()) + except: + break + + content ='\n'.join(lines) + output_class = ActionOutput.create_model_class(output_class_name, output_data_mapping) + parsed_data = OutputParser.parse_data_with_mapping(content, output_data_mapping) + logger.debug(parsed_data) + instruct_content = output_class(**parsed_data) + return ActionOutput(content, instruct_content) + except Exception as e: + print('Error:',e) + print('输入错误，请重试') + async def run(self, *args, **kwargs): """Run action""" diff --git a/metagpt/actions/write_prd.py b/metagpt/actions/write_prd.py index 0edd24d55..bc2e175e8 100644 --- a/metagpt/actions/write_prd.py +++ b/metagpt/actions/write_prd.py @@ -143,4 +143,5 @@ class WritePRD(Action): format_example=FORMAT_EXAMPLE) logger.debug(prompt) prd = await self._aask_v1(prompt, "prd", OUTPUT_MAPPING) + return prd diff --git a/metagpt/config.py b/metagpt/config.py index 2c1096877..e9e39cb22 100644 --- a/metagpt/config.py +++ b/metagpt/config.py @@ -45,8 +45,18 @@ class Config(metaclass=Singleton): self.global_proxy = self._get("GLOBAL_PROXY") self.openai_api_key = self._get("OPENAI_API_KEY") self.anthropic_api_key = self._get("Anthropic_API_KEY") + + #星火大模型相关 + self.xinghuo_appid = self._get("xinghuo_appid") + self.xinghuo_api_secret = self._get("xinghuo_api_secret") + self.xinghuo_api_key = self._get("xinghuo_api_key") + self.domain=self._get("domain") + self.Spark_url=self._get("Spark_url") + self.no_api_mode=self._get("no_api_mode") if (not self.openai_api_key or "YOUR_API_KEY" == self.openai_api_key) and ( not self.anthropic_api_key or "YOUR_API_KEY" == self.anthropic_api_key + )and ( + not self.xinghuo_api_key or "APIKey" == self.xinghuo_api_key ): raise NotConfiguredException("Set OPENAI_API_KEY or Anthropic_API_KEY first") self.openai_api_base = self._get("OPENAI_API_BASE") diff --git a/metagpt/llm.py b/metagpt/llm.py index 6a9a9132f..e523e7698 100644 --- a/metagpt/llm.py +++ b/metagpt/llm.py @@ -8,10 +8,11 @@ from metagpt.provider.anthropic_api import Claude2 as Claude from metagpt.provider.openai_api import OpenAIGPTAPI as LLM +from metagpt.provider.spark_api import Spark -DEFAULT_LLM = LLM() +DEFAULT_LLM = Spark() CLAUDE_LLM = Claude() - +SPARK_LLM = Spark() async def ai_func(prompt): """使用LLM进行QA diff --git a/metagpt/management/skill_manager.py b/metagpt/management/skill_manager.py index f067e6df6..dbe8d1545 100644 --- a/metagpt/management/skill_manager.py +++ b/metagpt/management/skill_manager.py @@ -8,7 +8,7 @@ from metagpt.actions import Action from metagpt.const import PROMPT_PATH from metagpt.document_store.chromadb_store import ChromaStore -from metagpt.llm import LLM +import metagpt.llm as LLM from metagpt.logs import logger Skill = Action @@ -18,7 +18,7 @@ class SkillManager: """用来管理所有技能""" def __init__(self): - self._llm = LLM() + self._llm=LLM.DEFAULT_LLM self._store = ChromaStore('skill_manager') self._skills: dict[str: Skill] = {} diff --git a/metagpt/manager.py b/metagpt/manager.py index 9d238c621..3f6c115f3 100644 --- a/metagpt/manager.py +++ b/metagpt/manager.py @@ -5,13 +5,13 @@ @Author : alexanderwu @File : manager.py """ -from metagpt.llm import LLM +import metagpt.llm as LLM from metagpt.logs import logger from metagpt.schema import Message class Manager: - def __init__(self, llm: LLM = LLM()): + def __init__(self, llm: llm=LLM.DEFAULT_LLM): self.llm = llm # Large Language Model self.role_directions = { "BOSS": "Product Manager", diff --git a/metagpt/prompts/generate_skill.md b/metagpt/prompts/generate_skill.md index fd950c143..dc1365733 100644 --- a/metagpt/prompts/generate_skill.md +++ b/metagpt/prompts/generate_skill.md @@ -10,10 +10,10 @@ ```python from typing import Optional from abc import ABC -from metagpt.llm import LLM # 大语言模型，类似GPT +import metagpt.llm as LLM # 大语言模型，类似GPT class Action(ABC): - def __init__(self, name='', context=None, llm: LLM = LLM()): + def __init__(self, name='', context=None, llm: llm=LLM.DEFAULT_LLM): self.name = name self.llm = llm self.context = context diff --git a/metagpt/provider/SparkApi.py b/metagpt/provider/SparkApi.py new file mode 100644 index 000000000..330420439 --- /dev/null +++ b/metagpt/provider/SparkApi.py @@ -0,0 +1,137 @@ +import _thread as thread +import base64 +import datetime +import hashlib +import hmac +import json +from urllib.parse import urlparse +import ssl +from datetime import datetime +from time import mktime +from urllib.parse import urlencode +from wsgiref.handlers import format_date_time + +import websocket # 使用websocket_client +answer = "" + +class Ws_Param(object): + # 初始化 + def __init__(self, APPID, APIKey, APISecret, Spark_url): + self.APPID = APPID + self.APIKey = APIKey + self.APISecret = APISecret + self.host = urlparse(Spark_url).netloc + self.path = urlparse(Spark_url).path + self.Spark_url = Spark_url + + # 生成url + def create_url(self): + # 生成RFC1123格式的时间戳 + now = datetime.now() + date = format_date_time(mktime(now.timetuple())) + + # 拼接字符串 + signature_origin = "host: " + self.host + "\n" + signature_origin += "date: " + date + "\n" + signature_origin += "GET " + self.path + " HTTP/1.1" + + # 进行hmac-sha256进行加密 + signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'), + digestmod=hashlib.sha256).digest() + + signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8') + + authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' + + authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8') + + # 将请求的鉴权参数组合为字典 + v = { + "authorization": authorization, + "date": date, + "host": self.host + } + # 拼接鉴权参数，生成url + url = self.Spark_url + '?' + urlencode(v) + # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致 + return url + + +# 收到websocket错误的处理 +def on_error(ws, error): + print("### error:", error) + + +# 收到websocket关闭的处理 +def on_close(ws,one,two): + print(" ") + + +# 收到websocket连接建立的处理 +def on_open(ws): + thread.start_new_thread(run, (ws,)) + + +def run(ws, *args): + data = json.dumps(gen_params(appid=ws.appid, domain= ws.domain,question=ws.question)) + ws.send(data) + + +# 收到websocket消息的处理 +def on_message(ws, message): + # print(message) + data = json.loads(message) + code = data['header']['code'] + if code != 0: + print(f'请求错误: {code}, {data}') + ws.close() + else: + choices = data["payload"]["choices"] + status = choices["status"] + content = choices["text"][0]["content"] + print(content,end ="") + global answer + answer += content + # print(1) + if status == 2: + ws.close() + + +def gen_params(appid, domain,question): + """ + 通过appid和用户的提问来生成请参数 + """ + data = { + "header": { + "app_id": appid, + "uid": "1234" + }, + "parameter": { + "chat": { + "domain": domain, + "random_threshold": 0.5, + "max_tokens": 2048, + "auditing": "default" + } + }, + "payload": { + "message": { + "text": question + } + } + } + return data + + +def main(appid, api_key, api_secret, Spark_url,domain, question): + # print("星火:") + wsParam = Ws_Param(appid, api_key, api_secret, Spark_url) + websocket.enableTrace(False) + wsUrl = wsParam.create_url() + ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open) + ws.appid = appid + ws.question = question + ws.domain = domain + ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) + + diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py new file mode 100644 index 000000000..2f75208c8 --- /dev/null +++ b/metagpt/provider/spark_api.py @@ -0,0 +1,57 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2023/7/21 11:15 +@Author : Leo Xiao +@File : anthropic_api.py +""" + +from typing import Optional +from metagpt.provider import SparkApi + +from metagpt.config import CONFIG + +def getlength(text): + length = 0 + for content in text: + temp = content["content"] + leng = len(temp) + length += leng + return length + +def checklen(text): + while (getlength(text) > 8000): + del text[0] + return text + +class Spark: + system_prompt = 'You are a helpful assistant.' + + def _user_msg(self, msg: str) -> dict[str, str]: + return {"role": "user", "content": msg} + + def _assistant_msg(self, msg: str) -> dict[str, str]: + return {"role": "assistant", "content": msg} + + def _system_msg(self, msg: str) -> dict[str, str]: + return {"role": "system", "content": msg} + + 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 ask(self, msg: str): + message = [self._user_msg(msg)] + SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message) + rsp = SparkApi.answer + return rsp + + async def aask(self, msg: str, system_msgs: Optional[list[str]] = None) -> str: + if system_msgs: + message = self._system_msgs(system_msgs) + [self._user_msg(msg)] + else: + message = [self._user_msg(msg)] + SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message) + rsp = SparkApi.answer + return rsp diff --git a/metagpt/roles/role.py b/metagpt/roles/role.py index d3750495f..add0a339c 100644 --- a/metagpt/roles/role.py +++ b/metagpt/roles/role.py @@ -14,7 +14,7 @@ from pydantic import BaseModel, Field # from metagpt.environment import Environment from metagpt.config import CONFIG from metagpt.actions import Action, ActionOutput -from metagpt.llm import LLM +from metagpt import llm as LLM from metagpt.logs import logger from metagpt.memory import Memory, LongTermMemory from metagpt.schema import Message @@ -94,7 +94,7 @@ class Role: """角色/代理""" def __init__(self, name="", profile="", goal="", constraints="", desc=""): - self._llm = LLM() + self._llm=LLM.DEFAULT_LLM self._setting = RoleSetting(name=name, profile=profile, goal=goal, constraints=constraints, desc=desc) self._states = [] self._actions = [] diff --git a/requirements.txt b/requirements.txt index efc2ea3e7..c202a8f17 100644 --- a/requirements.txt +++ b/requirements.txt @@ -33,7 +33,7 @@ tqdm==4.64.0 # selenium>4 # webdriver_manager<3.9 anthropic==0.3.6 -typing-inspect==0.8.0 +typing-inspect typing_extensions==4.5.0 -libcst==1.0.1 +libcst qdrant-client==1.4.0 \ No newline at end of file diff --git a/startup.py b/startup.py index 03b2149c4..94e2788e3 100644 --- a/startup.py +++ b/startup.py @@ -24,7 +24,7 @@ async def startup(idea: str, investment: float = 3.0, n_round: int = 5, await company.run(n_round=n_round) -def main(idea: str, investment: float = 3.0, n_round: int = 5, code_review: bool = False, run_tests: bool = False): +def main(idea: str ='写一个贪吃蛇命令行游戏', investment: float = 3.0, n_round: int = 5, code_review: bool = False, run_tests: bool = False): """ We are a software startup comprised of AI. By investing in us, you are empowering a future filled with limitless possibilities. :param idea: Your innovative idea, such as "Creating a snake game." diff --git a/tests/metagpt/actions/test_write_code.py b/tests/metagpt/actions/test_write_code.py index 7bb18ddf2..00d2c504e 100644 --- a/tests/metagpt/actions/test_write_code.py +++ b/tests/metagpt/actions/test_write_code.py @@ -8,7 +8,7 @@ import pytest from metagpt.actions.write_code import WriteCode -from metagpt.llm import LLM +import metagpt.llm as LLM from metagpt.logs import logger from tests.metagpt.actions.mock import TASKS_2, WRITE_CODE_PROMPT_SAMPLE @@ -29,6 +29,6 @@ async def test_write_code(): @pytest.mark.asyncio async def test_write_code_directly(): prompt = WRITE_CODE_PROMPT_SAMPLE + '\n' + TASKS_2[0] - llm = LLM() + llm=LLM.DEFAULT_LLM rsp = await llm.aask(prompt) logger.info(rsp) diff --git a/tests/metagpt/roles/mock.py b/tests/metagpt/roles/mock.py index 52fc4a3c1..9567be603 100644 --- a/tests/metagpt/roles/mock.py +++ b/tests/metagpt/roles/mock.py @@ -16,7 +16,7 @@ DETAIL_REQUIREMENT = """需求：开发一个基于LLM（大语言模型）与 3. 私有知识库支持pdf、word、txt等各种文件格式上传，上传后可以在服务端解析为文本，存储ES 资源： -1. 大语言模型已经有前置的抽象、部署，可以通过 `from metagpt.llm import LLM`，再使用`LLM().ask(prompt)`直接调用 +1. 大语言模型已经有前置的抽象、部署，可以通过 `import metagpt.llm as LLM`，再使用`LLM().ask(prompt)`直接调用 2. Elastic已有[部署](http://192.168.50.82:9200/)，代码可以直接使用这个部署""" diff --git a/tests/metagpt/test_llm.py b/tests/metagpt/test_llm.py index 11503af1d..1986f3f22 100644 --- a/tests/metagpt/test_llm.py +++ b/tests/metagpt/test_llm.py @@ -8,7 +8,7 @@ import pytest -from metagpt.llm import LLM +import metagpt.llm as LLM @pytest.fixture() diff --git a/webui.py b/webui.py new file mode 100644 index 000000000..e69de29bb From a819ce514e8b02c6bf1415dfaf970e4726fd9eb4 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Thu, 14 Sep 2023 20:15:49 +0800 Subject: [PATCH 02/30] =?UTF-8?q?=E6=B7=BB=E5=8A=A0=E8=BE=A9=E8=AE=BA?= =?UTF-8?q?=E6=A8=A1=E7=89=88?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debating_tournament.py | 225 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 225 insertions(+) create mode 100644 debating_tournament.py diff --git a/debating_tournament.py b/debating_tournament.py new file mode 100644 index 000000000..e7ab4eff4 --- /dev/null +++ b/debating_tournament.py @@ -0,0 +1,225 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2023/9/20 00:30 +@Author : zhouziming +@File : debating_tourmament.py +""" +import asyncio +import platform +import fire +from pydantic import BaseModel, Field + +from metagpt.actions import BossRequirement +from metagpt.config import CONFIG +from metagpt.environment import Environment +from metagpt.logs import logger +from metagpt.roles import Role +from metagpt.schema import Message +from metagpt.utils.common import NoMoneyException +from metagpt.llm import LLM +def main( + zf:str='人性本善', + ff:str='人性本恶' +): + """ + """ + if platform.system() == "Windows": + asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) + asyncio.run(startup(zf,ff)) + +async def startup(正方辩题:str,反方辩题:str): + llm=LLM() + #一辩环节 + #正方 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 + ''' + 正方立论稿=await llm.aask(prompt.format(正方辩题=正方辩题)) + #反方 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 + ''' + 反方立论稿=await llm.aask(prompt.format(反方辩题=反方辩题)) + #裁判评价环节 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 + ##要求 + 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 + ##辩题 + {正方辩题} + ##立论稿 + {正方立论稿} + ''' + 正方一辩评价=await llm.aask(prompt.format(正方辩题=正方辩题,正方立论稿=正方立论稿)) + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 + ##要求 + 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 + ##辩题 + {反方辩题} + ##立论稿 + {反方立论稿} + ''' + 反方一辩评价=await llm.aask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿)) + #二辩质询环节 + #正方质询 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 + ##辩题 + {正方辩题} + ##立论稿 + {反方立论稿} + ''' + 正方质询=await llm.aask(prompt.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) + #反方回答 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 + ##辩题 + {反方辩题} + ##立论稿 + {反方立论稿} + ##疑问 + {正方质询} + ''' + 反方回答=await llm.aask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) + #反方质询 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 + ##辩题 + {反方辩题} + ##立论稿 + {正方立论稿} + ''' + 反方质询=await llm.aask(prompt.format(反方辩题=反方辩题,正方立论稿=正方立论稿)) + #正方回答 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 + ##辩题 + {正方辩题} + ##立论稿 + {正方立论稿} + ##疑问 + {反方质询} + ''' + 正方回答=await llm.aask(prompt.format(正方辩题=正方辩题,正方立论稿=正方立论稿,反方质询=反方质询)) +if __name__ == '__main__': + fire.Fire(main) +if __name__ == '__main__': + llm=LLM() + 正方辩题='人性本善' + 反方辩题='人性本恶' + #一辩环节 + #正方 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 + ''' + 正方立论稿=llm.ask(prompt.format(正方辩题=正方辩题)) + #反方 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 + ''' + 反方立论稿=llm.ask(prompt.format(反方辩题=反方辩题)) + #裁判评价环节 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 + ##要求 + 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 + ##辩题 + {正方辩题} + ##立论稿 + {正方立论稿} + ''' + 正方一辩评价=llm.ask(prompt.format(正方辩题=正方辩题,正方立论稿=正方立论稿)) + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 + ##要求 + 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 + ##辩题 + {反方辩题} + ##立论稿 + {反方立论稿} + ''' + 反方一辩评价=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿)) + #二辩质询环节 + #正方质询 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 + ##辩题 + {正方辩题} + ##立论稿 + {反方立论稿} + ''' + 正方质询=llm.ask(prompt.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) + #反方回答 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 + ##辩题 + {反方辩题} + ##立论稿 + {反方立论稿} + ##疑问 + {正方质询} + ''' + 反方回答=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) + #反方质询 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 + ##辩题 + {反方辩题} + ##立论稿 + {正方立论稿} + ''' + 反方质询=llm.ask(prompt.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) + #正方回答 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 + ##辩题 + {正方辩题} + ##立论稿 + {正方立论稿} + ##疑问 + {反方质询} + ''' + 正方回答=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) + From ddab9ec3406e0903f64b6acd2ae7d07027e9dc35 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Fri, 15 Sep 2023 08:08:53 +0800 Subject: [PATCH 03/30] =?UTF-8?q?=E4=BF=AE=E6=94=B9prompt=E4=BD=8D?= =?UTF-8?q?=E7=BD=AE?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debating_tournament.py | 199 +++++++++++++++++++++++------------------ 1 file changed, 113 insertions(+), 86 deletions(-) diff --git a/debating_tournament.py b/debating_tournament.py index e7ab4eff4..e680e6b23 100644 --- a/debating_tournament.py +++ b/debating_tournament.py @@ -18,6 +18,70 @@ from metagpt.roles import Role from metagpt.schema import Message from metagpt.utils.common import NoMoneyException from metagpt.llm import LLM +正方一辩提示词=''' +##角色 +现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 +##要求 +您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 +''' +反方一辩提示词=''' +##角色 +现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 +##要求 +您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 +''' +正方一辩评价提示词=''' +##角色 +现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 +##要求 +你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 +##辩题 +{正方辩题} +##立论稿 +{正方立论稿} +''' +反方一辩评价提示词=''' +##角色 +现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 +##要求 +你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 +##辩题 +{反方辩题} +##立论稿 +{反方立论稿} +''' +正方质询提示词=''' +##角色 +现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 +##要求 +你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 +##辩题 +{正方辩题} +##立论稿 +{反方立论稿} +''' +反方回答提示词=''' +##角色 +现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 +##要求 +你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 +##辩题 +{反方辩题} +##立论稿 +{反方立论稿} +##疑问 +{正方质询} +''' +反方质询提示词=''' +##角色 +现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 +##要求 +你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 +##辩题 +{反方辩题} +##立论稿 +{正方立论稿} +''' def main( zf:str='人性本善', ff:str='人性本恶' @@ -32,97 +96,29 @@ async def startup(正方辩题:str,反方辩题:str): llm=LLM() #一辩环节 #正方 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 - ''' - 正方立论稿=await llm.aask(prompt.format(正方辩题=正方辩题)) + + 正方立论稿=await llm.aask(正方一辩提示词.format(正方辩题=正方辩题)) #反方 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 - ''' - 反方立论稿=await llm.aask(prompt.format(反方辩题=反方辩题)) + + 反方立论稿=await llm.aask(反方一辩提示词.format(反方辩题=反方辩题)) #裁判评价环节 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 - ##要求 - 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 - ##辩题 - {正方辩题} - ##立论稿 - {正方立论稿} - ''' - 正方一辩评价=await llm.aask(prompt.format(正方辩题=正方辩题,正方立论稿=正方立论稿)) - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 - ##要求 - 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 - ##辩题 - {反方辩题} - ##立论稿 - {反方立论稿} - ''' - 反方一辩评价=await llm.aask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿)) + + 正方一辩评价=await llm.aask(正方一辩评价提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿)) + + 反方一辩评价=await llm.aask(反方一辩评价提示词.format(反方辩题=反方辩题,反方立论稿=反方立论稿)) #二辩质询环节 #正方质询 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 - ##辩题 - {正方辩题} - ##立论稿 - {反方立论稿} - ''' - 正方质询=await llm.aask(prompt.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) + + 正方质询=await llm.aask(正方质询提示词.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) #反方回答 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 - ##辩题 - {反方辩题} - ##立论稿 - {反方立论稿} - ##疑问 - {正方质询} - ''' - 反方回答=await llm.aask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) + + 反方回答=await llm.aask(反方回答提示词.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) #反方质询 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 - ##辩题 - {反方辩题} - ##立论稿 - {正方立论稿} - ''' - 反方质询=await llm.aask(prompt.format(反方辩题=反方辩题,正方立论稿=正方立论稿)) + + 反方质询=await llm.aask(反方质询提示词.format(反方辩题=反方辩题,正方立论稿=正方立论稿)) #正方回答 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 - ##辩题 - {正方辩题} - ##立论稿 - {正方立论稿} - ##疑问 - {反方质询} - ''' - 正方回答=await llm.aask(prompt.format(正方辩题=正方辩题,正方立论稿=正方立论稿,反方质询=反方质询)) + + 正方回答=await llm.aask(正方回答提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿,反方质询=反方质询)) if __name__ == '__main__': fire.Fire(main) if __name__ == '__main__': @@ -189,13 +185,29 @@ if __name__ == '__main__': ##要求 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 ##辩题 - {反方辩题} + {反方辩题} ##立论稿 {反方立论稿} ##疑问 {正方质询} ''' 反方回答=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) + #正方二轮质询 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，攻击对手回答中不能支撑对手论点，或是同样能够支撑自己论点的部分。对每一条的提问不得超过三句话。 + ##我方辩题 + {正方辩题} + ##对手辩题 + {反方辩题} + ##我方质询 + {正方质询} + ##对手回答 + {反方回答} + ''' + 正方二轮质询=llm.ask(prompt.format(正方辩题=正方辩题,反方辩题=反方辩题,正方质询=正方质询,反方回答=反方回答)) #反方质询 prompt=''' ##角色 @@ -222,4 +234,19 @@ if __name__ == '__main__': {反方质询} ''' 正方回答=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) - + #反方二轮质询 + prompt=''' + ##角色 + 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 + ##要求 + 你的任务是，攻击对手回答中不能支撑对手论点，或是同样能够支撑自己论点的部分。对每一条的提问不得超过三句话。 + ##我方辩题 + {反方辩题} + ##对手辩题 + {正方辩题} + ##我方质询 + {反方质询} + ##对手回答 + {正方回答} + ''' + 正方二轮质询=llm.ask(prompt.format(正方辩题=正方辩题,反方辩题=反方辩题,反方质询=反方质询,正方回答=正方回答)) From 1ceca8bf95918422573c78bf9094515441560bd6 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Fri, 15 Sep 2023 09:54:00 +0800 Subject: [PATCH 04/30] xiugai --- debating_tournament.py | 129 ----------------------------------------- 1 file changed, 129 deletions(-) diff --git a/debating_tournament.py b/debating_tournament.py index e680e6b23..9b1fc153b 100644 --- a/debating_tournament.py +++ b/debating_tournament.py @@ -121,132 +121,3 @@ async def startup(正方辩题:str,反方辩题:str): 正方回答=await llm.aask(正方回答提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿,反方质询=反方质询)) if __name__ == '__main__': fire.Fire(main) -if __name__ == '__main__': - llm=LLM() - 正方辩题='人性本善' - 反方辩题='人性本恶' - #一辩环节 - #正方 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 - ''' - 正方立论稿=llm.ask(prompt.format(正方辩题=正方辩题)) - #反方 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 - ''' - 反方立论稿=llm.ask(prompt.format(反方辩题=反方辩题)) - #裁判评价环节 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 - ##要求 - 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 - ##辩题 - {正方辩题} - ##立论稿 - {正方立论稿} - ''' - 正方一辩评价=llm.ask(prompt.format(正方辩题=正方辩题,正方立论稿=正方立论稿)) - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 - ##要求 - 你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 - ##辩题 - {反方辩题} - ##立论稿 - {反方立论稿} - ''' - 反方一辩评价=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿)) - #二辩质询环节 - #正方质询 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 - ##辩题 - {正方辩题} - ##立论稿 - {反方立论稿} - ''' - 正方质询=llm.ask(prompt.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) - #反方回答 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 - ##辩题 - {反方辩题} - ##立论稿 - {反方立论稿} - ##疑问 - {正方质询} - ''' - 反方回答=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) - #正方二轮质询 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，攻击对手回答中不能支撑对手论点，或是同样能够支撑自己论点的部分。对每一条的提问不得超过三句话。 - ##我方辩题 - {正方辩题} - ##对手辩题 - {反方辩题} - ##我方质询 - {正方质询} - ##对手回答 - {反方回答} - ''' - 正方二轮质询=llm.ask(prompt.format(正方辩题=正方辩题,反方辩题=反方辩题,正方质询=正方质询,反方回答=反方回答)) - #反方质询 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 - ##辩题 - {反方辩题} - ##立论稿 - {正方立论稿} - ''' - 反方质询=llm.ask(prompt.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) - #正方回答 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 - ##辩题 - {正方辩题} - ##立论稿 - {正方立论稿} - ##疑问 - {反方质询} - ''' - 正方回答=llm.ask(prompt.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) - #反方二轮质询 - prompt=''' - ##角色 - 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 - ##要求 - 你的任务是，攻击对手回答中不能支撑对手论点，或是同样能够支撑自己论点的部分。对每一条的提问不得超过三句话。 - ##我方辩题 - {反方辩题} - ##对手辩题 - {正方辩题} - ##我方质询 - {反方质询} - ##对手回答 - {正方回答} - ''' - 正方二轮质询=llm.ask(prompt.format(正方辩题=正方辩题,反方辩题=反方辩题,反方质询=反方质询,正方回答=正方回答)) From 3fe6147088bd5cddf9174e8a048ac000dabe0e9c Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Fri, 15 Sep 2023 09:55:51 +0800 Subject: [PATCH 05/30] =?UTF-8?q?=E6=97=A0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- debating_tournament.py | 12 ++++++++++++ 1 file changed, 12 insertions(+) diff --git a/debating_tournament.py b/debating_tournament.py index 9b1fc153b..99e45685f 100644 --- a/debating_tournament.py +++ b/debating_tournament.py @@ -82,6 +82,18 @@ from metagpt.llm import LLM ##立论稿 {正方立论稿} ''' +正方回答提示词=''' +##角色 +现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 +##要求 +你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 +##辩题 +{正方辩题} +##立论稿 +{正方立论稿} +##疑问 +{反方质询} +''' def main( zf:str='人性本善', ff:str='人性本恶' From e315d8365b1d117659938932e0b72f645f37394b Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 19 Sep 2023 20:40:41 +0800 Subject: [PATCH 06/30] fixed --- metagpt/actions/action.py | 18 +++++++++--------- metagpt/llm.py | 4 +--- 2 files changed, 10 insertions(+), 12 deletions(-) diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py index 51a93281d..497f243e9 100644 --- a/metagpt/actions/action.py +++ b/metagpt/actions/action.py @@ -65,13 +65,13 @@ class Action(ABC): instruct_content = output_class(**parsed_data) return ActionOutput(content, instruct_content) except Exception as e: - print('Error:',e) - print('自动运行出错，切换为手动运行') - print('prompt为') - print('\n'.join( system_msgs)+prompt) - print('输入格式:') - print(output_data_mapping) - print('请准备输入,输入完成按ctrl+Z') + logger.debug('Error:'+str(e)) + logger.log('自动运行出错，切换为手动运行，通常这是由于大模型不能按照格式要求返回') + logger.log('prompt为') + logger.log('\n'.join( system_msgs)+prompt) + logger.log('输入格式:') + logger.log(output_data_mapping) + logger.log('请准备输入,输入完成按ctrl+Z') while True: try: lines=[] @@ -88,8 +88,8 @@ class Action(ABC): instruct_content = output_class(**parsed_data) return ActionOutput(content, instruct_content) except Exception as e: - print('Error:',e) - print('输入错误，请重试') + logger.log('Error:',e) + logger.log('输入错误，请重试') async def run(self, *args, **kwargs): diff --git a/metagpt/llm.py b/metagpt/llm.py index e523e7698..a94f6f7e9 100644 --- a/metagpt/llm.py +++ b/metagpt/llm.py @@ -10,9 +10,7 @@ from metagpt.provider.anthropic_api import Claude2 as Claude from metagpt.provider.openai_api import OpenAIGPTAPI as LLM from metagpt.provider.spark_api import Spark -DEFAULT_LLM = Spark() -CLAUDE_LLM = Claude() -SPARK_LLM = Spark() +DEFAULT_LLM = LLM() async def ai_func(prompt): """使用LLM进行QA From 5709e487137e2f3d4201f1eb30b27f1f6c0ceb9d Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 19 Sep 2023 20:40:58 +0800 Subject: [PATCH 07/30] fixed --- debating_tournament.py | 4 ++-- metagpt/provider/SparkApi.py | 31 ++++++++++++++++--------------- 2 files changed, 18 insertions(+), 17 deletions(-) diff --git a/debating_tournament.py b/debating_tournament.py index 99e45685f..8971a12c1 100644 --- a/debating_tournament.py +++ b/debating_tournament.py @@ -17,7 +17,7 @@ from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Message from metagpt.utils.common import NoMoneyException -from metagpt.llm import LLM +from metagpt.llm import DEFAULT_LLM 正方一辩提示词=''' ##角色 现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 @@ -105,7 +105,7 @@ def main( asyncio.run(startup(zf,ff)) async def startup(正方辩题:str,反方辩题:str): - llm=LLM() + llm=DEFAULT_LLM #一辩环节 #正方 diff --git a/metagpt/provider/SparkApi.py b/metagpt/provider/SparkApi.py index 330420439..7ce57c22a 100644 --- a/metagpt/provider/SparkApi.py +++ b/metagpt/provider/SparkApi.py @@ -10,19 +10,20 @@ from datetime import datetime from time import mktime from urllib.parse import urlencode from wsgiref.handlers import format_date_time +from metagpt.logs import logger import websocket # 使用websocket_client answer = "" class Ws_Param(object): # 初始化 - def __init__(self, APPID, APIKey, APISecret, Spark_url): - self.APPID = APPID - self.APIKey = APIKey - self.APISecret = APISecret - self.host = urlparse(Spark_url).netloc - self.path = urlparse(Spark_url).path - self.Spark_url = Spark_url + def __init__(self, appid, apikey, apiSecret, spark_url): + self.appid = appid + self.apikey = apikey + self.apiSecret = apiSecret + self.host = urlparse(spark_url).netloc + self.path = urlparse(spark_url).path + self.spark_url = spark_url # 生成url def create_url(self): @@ -36,12 +37,12 @@ class Ws_Param(object): signature_origin += "GET " + self.path + " HTTP/1.1" # 进行hmac-sha256进行加密 - signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'), + signature_sha = hmac.new(self.apiSecret.encode('utf-8'), signature_origin.encode('utf-8'), digestmod=hashlib.sha256).digest() signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8') - authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' + authorization_origin = f'api_key="{self.apikey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8') @@ -52,19 +53,19 @@ class Ws_Param(object): "host": self.host } # 拼接鉴权参数，生成url - url = self.Spark_url + '?' + urlencode(v) + url = self.spark_url + '?' + urlencode(v) # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致 return url # 收到websocket错误的处理 def on_error(ws, error): - print("### error:", error) + logger.error("### error:"+error) # 收到websocket关闭的处理 def on_close(ws,one,two): - print(" ") + logger.error("websocket关闭") # 收到websocket连接建立的处理 @@ -83,7 +84,7 @@ def on_message(ws, message): data = json.loads(message) code = data['header']['code'] if code != 0: - print(f'请求错误: {code}, {data}') + logger.error(f'请求错误: {code}, {data}') ws.close() else: choices = data["payload"]["choices"] @@ -123,9 +124,9 @@ def gen_params(appid, domain,question): return data -def main(appid, api_key, api_secret, Spark_url,domain, question): +def main(appid, api_key, api_secret, spark_url,domain, question): # print("星火:") - wsParam = Ws_Param(appid, api_key, api_secret, Spark_url) + wsParam = Ws_Param(appid, api_key, api_secret, spark_url) websocket.enableTrace(False) wsUrl = wsParam.create_url() ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open) From 6997ddc49cfbe8dac56b776dcef29b71def1458b Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 19 Sep 2023 20:41:10 +0800 Subject: [PATCH 08/30] fixed --- metagpt/llm.py | 2 +- metagpt/provider/spark_api.py | 1 + 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/metagpt/llm.py b/metagpt/llm.py index a94f6f7e9..68945e71e 100644 --- a/metagpt/llm.py +++ b/metagpt/llm.py @@ -10,7 +10,7 @@ from metagpt.provider.anthropic_api import Claude2 as Claude from metagpt.provider.openai_api import OpenAIGPTAPI as LLM from metagpt.provider.spark_api import Spark -DEFAULT_LLM = LLM() +DEFAULT_LLM = Spark() async def ai_func(prompt): """使用LLM进行QA diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py index 2f75208c8..e855e019a 100644 --- a/metagpt/provider/spark_api.py +++ b/metagpt/provider/spark_api.py @@ -41,6 +41,7 @@ class Spark: def _default_system_msg(self): return self._system_msg(self.system_prompt) + def ask(self, msg: str): message = [self._user_msg(msg)] SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message) From 0d0656a125655145a9c869d993a7ef61e0b64165 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Mon, 25 Sep 2023 21:57:22 +0800 Subject: [PATCH 09/30] =?UTF-8?q?=E4=B8=BA=E4=BA=86=E6=96=B9=E4=BE=BF?= =?UTF-8?q?=E5=90=84=E4=BD=8D=E5=B0=BD=E5=BF=AB=E4=BD=BF=E7=94=A8=EF=BC=8C?= =?UTF-8?q?=E6=88=91=E4=BB=AC=E7=8E=B0=E5=9C=A8=E6=8F=90=E4=BA=A4=E7=AC=AC?= =?UTF-8?q?=E4=B8=80=E7=89=88=E6=96=B0=E7=89=88=E8=AE=B0=E5=BF=86=E6=A0=BC?= =?UTF-8?q?=E5=BC=8F=EF=BC=8C=E4=BB=A5=E5=8F=8Aretrive=E5=92=8Creflect?= =?UTF-8?q?=EF=BC=8C=E6=96=B9=E4=BE=BF=E7=BC=96=E5=86=99?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../reflect_and_retrieve/GA_memory_storage.py | 91 ++++++++++++ .../Prompt_template/poignancy_chat_v1.txt | 17 +++ .../__MACOSX/GA_memory_stream/._.DS_Store | Bin 0 -> 120 bytes .../agent_memories/._.DS_Store | Bin 0 -> 120 bytes .../agent_memories/John_memory.json | 1 + metagpt/reflect_and_retrieve/gpt_structure.py | 67 +++++++++ metagpt/reflect_and_retrieve/reflect.py | 46 ++++++ metagpt/reflect_and_retrieve/retrive.py | 132 ++++++++++++++++++ metagpt/reflect_and_retrieve/run_gpt.py | 58 ++++++++ 9 files changed, 412 insertions(+) create mode 100644 metagpt/reflect_and_retrieve/GA_memory_storage.py create mode 100644 metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt create mode 100644 metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/._.DS_Store create mode 100644 metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/agent_memories/._.DS_Store create mode 100644 metagpt/reflect_and_retrieve/agent_memories/John_memory.json create mode 100644 metagpt/reflect_and_retrieve/gpt_structure.py create mode 100644 metagpt/reflect_and_retrieve/reflect.py create mode 100644 metagpt/reflect_and_retrieve/retrive.py create mode 100644 metagpt/reflect_and_retrieve/run_gpt.py diff --git a/metagpt/reflect_and_retrieve/GA_memory_storage.py b/metagpt/reflect_and_retrieve/GA_memory_storage.py new file mode 100644 index 000000000..83e3ee5a1 --- /dev/null +++ b/metagpt/reflect_and_retrieve/GA_memory_storage.py @@ -0,0 +1,91 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : 对应 GA中 concept node 实现 & AssociativeMemory 实现 +# author: didi +# Date:9.24 + +from run_gpt import run_gpt_prompt_chat_poignancy,run_gpt_random_concept +from gpt_structure import embedding +from retrive import agent_retrive +from reflect import * +import time +import json + +# Meomry_basic 类 +class Meomry_basic: + def __init__( + self,created_time,accessed_time, + description, + poignancy, + embedding_key = None) -> None: + self.created_time = created_time # 记忆创建时间 + self.accessed_time = accessed_time # 记忆上次调用时间 + self.description = description # 记忆描述 + self.poignancy = poignancy # 记忆心酸程度 + if embedding_key == None: # 记忆emmbeding key(避免重复向量化花钱) + self.embedding_key = embedding(self.description) + else: + self.embedding_key = embedding_key + +# Agent Memory 类 +class Agent_memeory: + + def __init__(self,name,iss, + memory_forget = 0.99, + memories_list=[],memory_path = None) -> None: + self.name = name # agent name + self.iss = iss # agent iss（性格特征） + self.memories_list = memories_list # agent 记忆列表 + self.concept_forget = memory_forget # agent 记忆遗忘速率（计算近因性） + self.memory_path = memory_path # agent 记忆JSON文件存储地址 + self.curr_time = time.time() # agent 当前时间（现在使用的time.time()，等到环境搭好之后使用游戏内时间） + # 若给到memory_path 进行记忆初始化 + if memory_path: + self.memories_list = self.memory_load(memory_path) + + def memory_save(self,PATH): + # 将Memory存储在指定PATH的JSON文件中，命名为"{self.name}'s memory" + with open(PATH, 'w') as file: + memory_data = [mem.__dict__ for mem in self.memories_list] + json.dump(memory_data, file) + + def memory_load(self,PATH): + """ + 将Memory从指定路径的JSON文件中Load出来,返回一个记忆列表;如果load失败，返回一个空列表 + """ + try: + with open(PATH,'r') as file: + memory_data = json.load(file) + self.memories_list = [Meomry_basic(**mem) for mem in memory_data] + return self.memories_list + except: + return [] + + +if __name__ == "__main__": + # 例子，构建John Agent，实现retrive + John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno." + John = Agent_memeory("John",John_iss,memory_path="agent_memories/John_memory.json") + + # for i in range(3): + # memory = run_gpt_random_concept() + # curr_time = time.time() + # poignancy = run_gpt_prompt_chat_poignancy(John,memory) + # M = Meomry_basic(curr_time,curr_time,memory,poignancy) + # John.memories_list.append(M) + + # John.memory_save(John.memory_path) + + for i in range(len(John.memories_list)): + print(f"John记忆为:{John.memories_list[i].description}") + print(f"心酸程度为:{John.memories_list[i].poignancy}") + query = "How has John's personal connection with his neighbors, such as the Moores and Yuriko, influenced his role as a pharmacy shopkeeper?" + + Top_v = agent_retrive(John,query,10,3) + print(f"John的相关信息：{Top_v}") + + # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} + A=generate_focus_point(John.memories_list) + B=generate_insights_and_evidence(John,John.memories_list,question=A[0]) + + \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt b/metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt new file mode 100644 index 000000000..572dd8a05 --- /dev/null +++ b/metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt @@ -0,0 +1,17 @@ +poignancy_chat_v1.txt + +!!: agent name +!!: iss +!!: name +!!: event description + +### +Here is a brief description of !!. +!! + +On the scale of 1 to 10, where 1 is purely mundane (e.g., routine morning greetings) and 10 is extremely poignant (e.g., a conversation about breaking up, a fight), rate the likely poignancy of the following conversation for !!. + +Conversation: +!! + +Rate (return a number between 1 to 10): \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/._.DS_Store b/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/._.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..a5b28df1cbc6e15bd0d35cdadd0c2e65d5131c7d GIT binary patch literal 120 zcmZQz6=P>$Vqox1Ojhs@R)|o50+1L3ClDI}u^SMB_!U6R08`;00ODZ-jv*mIP;rnB Iur73U08|YJ=l}o! literal 0 HcmV?d00001 diff --git a/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/agent_memories/._.DS_Store b/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/agent_memories/._.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..a5b28df1cbc6e15bd0d35cdadd0c2e65d5131c7d GIT binary patch literal 120 zcmZQz6=P>$Vqox1Ojhs@R)|o50+1L3ClDI}u^SMB_!U6R08`;00ODZ-jv*mIP;rnB Iur73U08|YJ=l}o! literal 0 HcmV?d00001 diff --git a/metagpt/reflect_and_retrieve/agent_memories/John_memory.json b/metagpt/reflect_and_retrieve/agent_memories/John_memory.json new file mode 100644 index 000000000..2bac7eaaf --- /dev/null +++ b/metagpt/reflect_and_retrieve/agent_memories/John_memory.json @@ -0,0 +1 @@ +[{"created_time": 1695640634.6113422, "accessed_time": 1695640634.6113422, 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a/metagpt/reflect_and_retrieve/gpt_structure.py b/metagpt/reflect_and_retrieve/gpt_structure.py new file mode 100644 index 000000000..01a29b6a9 --- /dev/null +++ b/metagpt/reflect_and_retrieve/gpt_structure.py @@ -0,0 +1,67 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : 调用GPT +# author: didi +# Date:9.25 + +import openai +openai.api_key = "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" +# 直接调用Prompt生成 +def response_generate(prompt): + completion = openai.Completion.create( + model="gpt-3.5-turbo-instruct", + prompt= prompt, + temperature=0, + max_tokens = 20, + top_p = 1, + stream = False, + frequency_penalty = 0, + presence_penalty = 0 + ) + return (completion.choices[0].text) + +# 特殊指令加入Prompt生成 +def final_response(prompt,special_instruction,example_output = None): + prompt = '"""\n' + prompt + '\n"""\n' + prompt += f"Output the response to the prompt above in json. {special_instruction}\n" + if example_output: + prompt += "Example output json:\n" + prompt += '{"output": "' + str(example_output) + '"}' + return response_generate(prompt) + +# prompt填充模板 +def prompt_generate(curr_input, prompt_lib_file): + """ + Takes in the current input (e.g. comment that you want to classifiy) and + the path to a prompt file. The prompt file contains the raw str prompt that + will be used, which contains the following substr: !! -- this + function replaces this substr with the actual curr_input to produce the + final promopt that will be sent to the GPT3 server. + ARGS: + curr_input: the input we want to feed in (IF THERE ARE MORE THAN ONE + INPUT, THIS CAN BE A LIST.) + prompt_lib_file: the path to the promopt file. + RETURNS: + a str prompt that will be sent to OpenAI's GPT server. + """ + if type(curr_input) == type("string"): + curr_input = [curr_input] + curr_input = [str(i) for i in curr_input] + + f = open(prompt_lib_file, "r") + prompt = f.read() + f.close() + for count, i in enumerate(curr_input): + prompt = prompt.replace(f"!!", i) + if "###" in prompt: + prompt = prompt.split("###")[1] + return prompt.strip() + +# 使用OpenAI embedding库进行存储 +def embedding(query): + embedding_result = openai.Embedding.create( + model="text-embedding-ada-002", + input=query + ) + embedding_key = embedding_result['data'][0]["embedding"] + return embedding_key \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/reflect.py b/metagpt/reflect_and_retrieve/reflect.py new file mode 100644 index 000000000..e341f5e61 --- /dev/null +++ b/metagpt/reflect_and_retrieve/reflect.py @@ -0,0 +1,46 @@ + +import json +from gpt_structure import final_response +from retrive import agent_retrive +''' +首先 +''' +def agent_reflect(agent): + ''' + agent:agent本身 + ''' + pass + +def generate_focus_point(memories_list,n=3): + wait_sorted_mem=[[i.accessed_time, i] for i in memories_list] + sorted_memories=sorted(wait_sorted_mem, key=lambda x: x[0]) + memorys=[i for created, i in sorted_memories] + statements='' + for i in memorys: + statements += i.description + "\n" + prompt=''' + {statements} + Given only the information above, what are {num_question} most salient high-level questions we can answer about the subjects grounded in the statements? + ''' + example_output = '["What should Jane do for lunch", "Does Jane like strawberry", "Who is Jane"]' + out = final_response(prompt.format(statements=statements,num_question=n), "Output must be a list of str.",example_output) + try: + poi_dict = json.loads(out) + return (poi_dict['output']) + except: + return out + +def generate_insights_and_evidence(agent,memories_list,question, n=5): + agent_retrive(agent,question,20,10) + statements = "" + for count, mem in enumerate(memories_list): + statements += f'{str(count)}. {mem.description}\n' + prompt=''' + Input: + {statements} + + What {n} high-level insights can you infer from the above statements? (example format: insight (because of 1, 5, 3)) + 1.''' + + ret = final_response(prompt.format(question=question,statements=statements,n=n), "['insightA',(1,2,3)]") + print(ret) \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/retrive.py b/metagpt/reflect_and_retrieve/retrive.py new file mode 100644 index 000000000..f3e1fc4c9 --- /dev/null +++ b/metagpt/reflect_and_retrieve/retrive.py @@ -0,0 +1,132 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : 实现GA中检索函数 +# author: didi +# Date:9.25 + +from numpy import dot +from numpy.linalg import norm +from gpt_structure import embedding + +# 实现三(2)合一搜索 +def agent_retrive(agent,query,n,topk): + # 将记忆列表按照Nodes[i].accessed_time排列，仅取前十个，如果不够10个就取现有的所有 + Nodes = agent.memories_list + sorted_nodes = sorted(Nodes, key=lambda node: node.accessed_time,reverse=True) + Nodes = sorted_nodes[:n] if len(sorted_nodes) >= n else sorted_nodes + + # 创建一个分数列表 + Score_list = [] + """ + { + "memory":Nodes[i], + "importance":Nodes[i].poignancy + "recency":衰减因子计算结果 + "relevance":搜索结果 + } + """ + Score_list = extract_importance(Nodes,Score_list) + Score_list = extract_recency(Score_list) # 计算近因性函数还没有实现，目前都是1 + Score_list = extract_relevance(Score_list,query) + + Score_list = normalize_Socre_floats(Score_list,0,1) + total_dict = {} + gw = [1,1,1] # 三个因素的权重,重要性，近因性，相关性 + for i in range(len(Score_list)): + total_score = (Score_list[i]['importance']*gw[0] + + Score_list[i]['recency']*gw[1] + + Score_list[i]['relevance']*gw[2] + ) + total_dict[Score_list[i]['memory'].description] = total_score + + result = top_highest_x_values(total_dict,topk) + + return result + +def top_highest_x_values(d, x): + top_v = dict(sorted(d.items(), + key=lambda item: item[1], + reverse=True)[:x]) + return top_v +# 抽取重要性 +def extract_importance(Nodes,Score_list): + for i in range(len(Nodes)): + Score = {"memory":Nodes[i], + "importance":Nodes[i].poignancy + } + Score_list.append(Score) + return Score_list + +# 抽取相关性 +def extract_relevance(Score_list,query): + query_embedding = embedding(query) + # 进行 + for i in range(len(Score_list)): + result = cos_sim(Score_list[i]["memory"].embedding_key,query_embedding) + Score_list[i]['relevance'] = result + + return Score_list + +# 抽取近因性 +def extract_recency(Score_list): + for i in range(len(Score_list)): + Score_list[i]['recency'] = 1 + return Score_list + +# 计算余弦相似度 +def cos_sim(a, b): + return dot(a, b)/(norm(a)*norm(b)) + +# 单个列表归一化 +def normalize_List_floats(Single_list,target_min, target_max): + min_val = min(Single_list) + max_val = max(Single_list) + range_val = max_val - min_val + + if range_val == 0: + for i in range(len(Single_list)): + Single_list[i] = (target_max - target_min)/2 + else: + for i in range(len(Single_list)): + Single_list[i] = ((Single_list[i] - min_val) * (target_max - target_min) + / range_val + target_min) + return Single_list + +# 整体归一化 +def normalize_Socre_floats(Score_list, target_min, target_max): + + importance_list = [] + relevance_list = [] + recency_list = [] + + for i in range(len(Score_list)): + importance_list.append(Score_list[i]['importance']) + relevance_list.append(Score_list[i]['relevance']) + recency_list.append(Score_list[i]['recency']) + + # 进行归一化操作 + importance_list = normalize_List_floats(importance_list,target_min, target_max) + relevance_list = normalize_List_floats(relevance_list,target_min, target_max) + recency_list =normalize_List_floats(recency_list,target_min, target_max) + + for i in range(len(Score_list)): + Score_list[i]['importance'] = importance_list[i] + Score_list[i]['relevance'] = relevance_list[i] + Score_list[i]['recency'] = recency_list[i] + + return Score_list + + + + + + + + + + + + + + + diff --git a/metagpt/reflect_and_retrieve/run_gpt.py b/metagpt/reflect_and_retrieve/run_gpt.py new file mode 100644 index 000000000..122ba8696 --- /dev/null +++ b/metagpt/reflect_and_retrieve/run_gpt.py @@ -0,0 +1,58 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +# @Desc : 调用PROMPT +# author: didi +# Date:9.25 + +import random +import json +from gpt_structure import final_response,prompt_generate + +# 使用GPT衡量心酸程度 +def run_gpt_prompt_chat_poignancy(agent,event_description): + """ + 使用GA中的run GPT构造，具体的代码可以参考昨天GPT的内容 + https://chat.openai.com/c/afddac31-300e-427b-9947-4b3ca16bd3a1 + 其中输入的ISS是identity stable set + """ + def create_prompt_input(agent,event_description): + prompt_input = [agent.name, + agent.iss, + agent.name, + event_description] + return prompt_input + + # 1. Prompt构建 + # 2. Instruction给出 + prompt_template = "Prompt_template/poignancy_chat_v1.txt" ######## + prompt_input = create_prompt_input(agent, event_description) ######## + prompt = prompt_generate(prompt_input, prompt_template) + special_instruction = "The output should ONLY contain ONE integer value on the scale of 1 to 10." + poignancy = final_response(prompt,special_instruction) + try: + poi_dict = json.loads(poignancy) + return (poi_dict['poignancy']) + except: + return poignancy + +# 返回John随机记忆 +def run_gpt_random_concept(): + random_memories = [ + "Helped Mrs. Moore carry groceries into her house.", + "Had a friendly chat with Yuriko about her garden.", + "Met Tom Moreno for coffee during our lunch break.", + "Talked to Mei about their upcoming vacation plans.", + "Eddy played his new music composition for me.", + "Helped a customer find a specific medication.", + "John divorced his wife because he was in love with someone else", + "Helped Mrs. Moore carry groceries into her house.", + "Had a friendly chat with Yuriko about her garden.", + "Met Tom Moreno for coffee during our lunch break.", + "Talked to Mei about their upcoming vacation plans.", + "Eddy played his new music composition for me.", + "Helped a customer find a specific medication.", + "Wished Carmen a good day as she passed by the pharmacy.", + "Discussed local politics with Tom Moreno.", + "Gave gardening tips to Mrs. Yamamoto.", + "Saw Jane Moreno jogging in the morning."] + return(random.choice(random_memories)) From 5fbe015c560995815e2e51ece6fe7faad98d5bc0 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 26 Sep 2023 09:37:49 +0800 Subject: [PATCH 10/30] =?UTF-8?q?=E4=BF=AE=E6=94=B91.1?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../reflect_and_retrieve/GA_memory_storage.py | 17 +++++------ .../agent_memories/John_memory.json | 2 +- metagpt/reflect_and_retrieve/gpt_structure.py | 5 ++-- metagpt/reflect_and_retrieve/reflect.py | 30 ++++++++++++++++--- 4 files changed, 37 insertions(+), 17 deletions(-) diff --git a/metagpt/reflect_and_retrieve/GA_memory_storage.py b/metagpt/reflect_and_retrieve/GA_memory_storage.py index 83e3ee5a1..31ccdaa0d 100644 --- a/metagpt/reflect_and_retrieve/GA_memory_storage.py +++ b/metagpt/reflect_and_retrieve/GA_memory_storage.py @@ -7,7 +7,6 @@ from run_gpt import run_gpt_prompt_chat_poignancy,run_gpt_random_concept from gpt_structure import embedding from retrive import agent_retrive -from reflect import * import time import json @@ -67,14 +66,14 @@ if __name__ == "__main__": John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno." John = Agent_memeory("John",John_iss,memory_path="agent_memories/John_memory.json") - # for i in range(3): - # memory = run_gpt_random_concept() - # curr_time = time.time() - # poignancy = run_gpt_prompt_chat_poignancy(John,memory) - # M = Meomry_basic(curr_time,curr_time,memory,poignancy) - # John.memories_list.append(M) + for i in range(3): + memory = run_gpt_random_concept() + curr_time = time.time() + poignancy = run_gpt_prompt_chat_poignancy(John,memory) + M = Meomry_basic(curr_time,curr_time,memory,poignancy) + John.memories_list.append(M) - # John.memory_save(John.memory_path) + John.memory_save(John.memory_path) for i in range(len(John.memories_list)): print(f"John记忆为:{John.memories_list[i].description}") @@ -85,7 +84,5 @@ if __name__ == "__main__": print(f"John的相关信息：{Top_v}") # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} - A=generate_focus_point(John.memories_list) - B=generate_insights_and_evidence(John,John.memories_list,question=A[0]) \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/agent_memories/John_memory.json b/metagpt/reflect_and_retrieve/agent_memories/John_memory.json index 2bac7eaaf..959e07940 100644 --- a/metagpt/reflect_and_retrieve/agent_memories/John_memory.json +++ b/metagpt/reflect_and_retrieve/agent_memories/John_memory.json @@ -1 +1 @@ -[{"created_time": 1695640634.6113422, "accessed_time": 1695640634.6113422, "description": "Had a friendly chat with Yuriko about her garden.", "poignancy": 3, "embedding_key": [0.00822820607572794, -0.005863511469215155, 0.012651615776121616, 0.008660569787025452, 0.016709178686141968, 0.02378663420677185, -0.00028955869493074715, -0.003728301962837577, -0.02039424516260624, -0.02626108191907406, -0.00543114822357893, -0.023081548511981964, 0.009146146476268768, -0.009931053034961224, -0.019183628261089325, 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-openai.api_key = "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" +openai.api_key = "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" +openai.proxy='http://127.0.0.1:7000' # 直接调用Prompt生成 def response_generate(prompt): completion = openai.Completion.create( model="gpt-3.5-turbo-instruct", prompt= prompt, temperature=0, - max_tokens = 20, + max_tokens = 500, top_p = 1, stream = False, frequency_penalty = 0, diff --git a/metagpt/reflect_and_retrieve/reflect.py b/metagpt/reflect_and_retrieve/reflect.py index e341f5e61..5321ecdf1 100644 --- a/metagpt/reflect_and_retrieve/reflect.py +++ b/metagpt/reflect_and_retrieve/reflect.py @@ -1,6 +1,8 @@ import json from gpt_structure import final_response +import run_gpt +from GA_memory_storage import Agent_memeory from retrive import agent_retrive ''' 首先 @@ -39,8 +41,28 @@ def generate_insights_and_evidence(agent,memories_list,question, n=5): Input: {statements} - What {n} high-level insights can you infer from the above statements? (example format: insight (because of 1, 5, 3)) - 1.''' + What {n} high-level insights can you infer from the above statements? + You should return a list of list[str,list] . The first element is the insight you have found.The second element is the + ''' - ret = final_response(prompt.format(question=question,statements=statements,n=n), "['insightA',(1,2,3)]") - print(ret) \ No newline at end of file + ret = final_response(prompt.format(question=question,statements=statements,n=n), "['insightA',[1,2,3]]") + try: + insight_list = json.loads(ret) + return (insight_list) + except: + return ret + +if __name__ == "__main__": + # 例子，构建John Agent，实现retrive + John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno." + John = Agent_memeory("John",John_iss,memory_path="agent_memories/John_memory.json") + + # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} + A=generate_focus_point(John.memories_list) + B=generate_insights_and_evidence(John,John.memories_list,question=A[0]) + print(type(B)) + print(B) + ''' + 这里是输出,list形式，返回给记忆。 + [['The pharmacy is a friendly and helpful community.', [0, 2, 9, 12]], ['The pharmacy is a place where people come for more than just medication.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for advice and conversation.', [0, 2, 6, 9, 12]], ['The pharmacy is a place where people come for assistance with daily tasks.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for political discussions.', [1]]] + ''' \ No newline at end of file From 5a41185bac9c12c0e1a8292d4179db7ab8ee75ff Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 26 Sep 2023 11:50:16 +0800 Subject: [PATCH 11/30] v 1.2 --- metagpt/reflect_and_retrieve/reflect.py | 15 +++++++++++---- 1 file changed, 11 insertions(+), 4 deletions(-) diff --git a/metagpt/reflect_and_retrieve/reflect.py b/metagpt/reflect_and_retrieve/reflect.py index 5321ecdf1..ae6487918 100644 --- a/metagpt/reflect_and_retrieve/reflect.py +++ b/metagpt/reflect_and_retrieve/reflect.py @@ -1,8 +1,10 @@ import json +from logging import Logger +import time from gpt_structure import final_response import run_gpt -from GA_memory_storage import Agent_memeory +from GA_memory_storage import Agent_memeory,Meomry_basic from retrive import agent_retrive ''' 首先 @@ -48,8 +50,11 @@ def generate_insights_and_evidence(agent,memories_list,question, n=5): ret = final_response(prompt.format(question=question,statements=statements,n=n), "['insightA',[1,2,3]]") try: insight_list = json.loads(ret) + for insight,index in insight_list: + agent.memory_list.append(Meomry_basic(time.time(),None,insight,None,None)) return (insight_list) except: + Logger.error('我们无法获得想要的返回。') return ret if __name__ == "__main__": @@ -59,9 +64,11 @@ if __name__ == "__main__": # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} A=generate_focus_point(John.memories_list) - B=generate_insights_and_evidence(John,John.memories_list,question=A[0]) - print(type(B)) - print(B) + + for i in A: + B=generate_insights_and_evidence(John,John.memories_list,question=A[0]) + print(type(B)) + print(B) ''' 这里是输出,list形式，返回给记忆。 [['The pharmacy is a friendly and helpful community.', [0, 2, 9, 12]], ['The pharmacy is a place where people come for more than just medication.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for advice and conversation.', [0, 2, 6, 9, 12]], ['The pharmacy is a place where people come for assistance with daily tasks.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for political discussions.', [1]]] From 19d177e7b1bac4c6d1677a4cdf787caad2be4783 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 26 Sep 2023 12:51:28 +0800 Subject: [PATCH 12/30] =?UTF-8?q?=E6=8C=89=E7=85=A7=E8=A7=84=E8=8C=83?= =?UTF-8?q?=E4=BF=AE=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../reflect_and_retrieve/GA_memory_storage.py | 103 +++++++++++----- metagpt/reflect_and_retrieve/gpt_structure.py | 70 ++++++++--- metagpt/reflect_and_retrieve/pycodetester.py | 3 + metagpt/reflect_and_retrieve/reflect.py | 52 +++++---- metagpt/reflect_and_retrieve/retrive.py | 110 +++++++++--------- metagpt/reflect_and_retrieve/run_gpt.py | 58 ++++----- 6 files changed, 254 insertions(+), 142 deletions(-) create mode 100644 metagpt/reflect_and_retrieve/pycodetester.py diff --git a/metagpt/reflect_and_retrieve/GA_memory_storage.py b/metagpt/reflect_and_retrieve/GA_memory_storage.py index 31ccdaa0d..b960b73f3 100644 --- a/metagpt/reflect_and_retrieve/GA_memory_storage.py +++ b/metagpt/reflect_and_retrieve/GA_memory_storage.py @@ -4,73 +4,124 @@ # author: didi # Date:9.24 -from run_gpt import run_gpt_prompt_chat_poignancy,run_gpt_random_concept +from run_gpt import run_gpt_prompt_chat_poignancy, run_gpt_random_concept from gpt_structure import embedding from retrive import agent_retrive import time import json # Meomry_basic 类 + + class Meomry_basic: def __init__( - self,created_time,accessed_time, + self, created_time, accessed_time, description, poignancy, - embedding_key = None) -> None: + embedding_key=None) -> None: + """ + Initializes a basic memory object. + + Args: + created_time (datetime): The time when the memory was created. + accessed_time (datetime): The time when the memory was last accessed. + description (str): The description of the memory. + poignancy (int): The level of emotional intensity associated with the memory. + embedding_key (Optional[str]): The embedding key for the memory (to avoid redundant vectorization). + + Returns: + None + """ self.created_time = created_time # 记忆创建时间 self.accessed_time = accessed_time # 记忆上次调用时间 self.description = description # 记忆描述 self.poignancy = poignancy # 记忆心酸程度 - if embedding_key == None: # 记忆emmbeding key(避免重复向量化花钱) + if embedding_key is None: # 记忆emmbeding key(避免重复向量化花钱) self.embedding_key = embedding(self.description) - else: - self.embedding_key = embedding_key + else: + self.embedding_key = embedding_key # Agent Memory 类 -class Agent_memeory: - def __init__(self,name,iss, - memory_forget = 0.99, - memories_list=[],memory_path = None) -> None: + +class Agent_memory(object): + + def __init__(self, name: str, iss: str, + memory_forget: float = 0.99, + memories_list: list[Meomry_basic] = [], memory_path: str = None) -> None: + ''' + 定义Agent,替换原有Agent使用，需要其他人根据需求补全功能。 + Attributes: + name:agent name + iss:agent iss（性格特征） + memory_forget:agent 记忆遗忘速率（计算近因性） + memories_list:agent 记忆JSON文件存储地址 + memory_path:记忆存储地址 + ''' self.name = name # agent name self.iss = iss # agent iss（性格特征） self.memories_list = memories_list # agent 记忆列表 self.concept_forget = memory_forget # agent 记忆遗忘速率（计算近因性） self.memory_path = memory_path # agent 记忆JSON文件存储地址 - self.curr_time = time.time() # agent 当前时间（现在使用的time.time()，等到环境搭好之后使用游戏内时间） + # agent 当前时间（现在使用的time.time()，等到环境搭好之后使用游戏内时间） + self.curr_time = time.time() # 若给到memory_path 进行记忆初始化 - if memory_path: + if memory_path: self.memories_list = self.memory_load(memory_path) - def memory_save(self,PATH): - # 将Memory存储在指定PATH的JSON文件中，命名为"{self.name}'s memory" + def memory_save(self, PATH: str) -> None: + ''' + 将Memory存储在指定PATH的JSON文件中，命名为"{self.name}'s memory + Args: + PATH:str + Return: + None + ''' with open(PATH, 'w') as file: memory_data = [mem.__dict__ for mem in self.memories_list] json.dump(memory_data, file) - def memory_load(self,PATH): + def memory_load(self, PATH: str) -> list[Meomry_basic]: """ - 将Memory从指定路径的JSON文件中Load出来,返回一个记忆列表;如果load失败，返回一个空列表 + 将Memory从指定路径的JSON文件中Load出来,返回一个记忆列表;如果load失败，返回一个空列表。 + Args: + PATH:str + Return: + List(Meomry_basic) """ try: - with open(PATH,'r') as file: + with open(PATH, 'r') as file: memory_data = json.load(file) - self.memories_list = [Meomry_basic(**mem) for mem in memory_data] + self.memories_list = [Meomry_basic( + **mem) for mem in memory_data] return self.memories_list - except: + except OSError: return [] - + if __name__ == "__main__": # 例子，构建John Agent，实现retrive - John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno." - John = Agent_memeory("John",John_iss,memory_path="agent_memories/John_memory.json") + John_iss = """John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. + He is always looking for ways to make the process of getting medication easier for his customers; + John Lin is living with his wife, Mei Lin, who is a college professor, and son, + Eddy Lin, who is a student studying music theory; John Lin loves his family very much; + John Lin has known the old couple next-door, + Sam Moore and Jennifer Moore, for a few years; + John Lin thinks Sam Moore is a kind and nice man; + John Lin knows his neighbor, Yuriko Yamamoto, well; + John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, + but has not met them before; + John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; + John Lin and Tom Moreno are friends and like to discuss local politics together; + John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno.""" + John = Agent_memory( + "John", John_iss, memory_path="agent_memories/John_memory.json") for i in range(3): memory = run_gpt_random_concept() curr_time = time.time() - poignancy = run_gpt_prompt_chat_poignancy(John,memory) - M = Meomry_basic(curr_time,curr_time,memory,poignancy) + poignancy = run_gpt_prompt_chat_poignancy(John, memory) + M = Meomry_basic(curr_time, curr_time, memory, poignancy) John.memories_list.append(M) John.memory_save(John.memory_path) @@ -80,9 +131,7 @@ if __name__ == "__main__": print(f"心酸程度为:{John.memories_list[i].poignancy}") query = "How has John's personal connection with his neighbors, such as the Moores and Yuriko, influenced his role as a pharmacy shopkeeper?" - Top_v = agent_retrive(John,query,10,3) + Top_v = agent_retrive(John, query, 10, 3) print(f"John的相关信息：{Top_v}") # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} - - \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/gpt_structure.py b/metagpt/reflect_and_retrieve/gpt_structure.py index a1226f801..c5397dfd3 100644 --- a/metagpt/reflect_and_retrieve/gpt_structure.py +++ b/metagpt/reflect_and_retrieve/gpt_structure.py @@ -6,31 +6,61 @@ import openai openai.api_key = "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" -openai.proxy='http://127.0.0.1:7000' +openai.proxy = 'http://127.0.0.1:7000' # 直接调用Prompt生成 + + def response_generate(prompt): + """ + 通过将特殊指令加入Prompt生成最终的响应。 + + 参数： + - prompt：要生成响应的提示文本。 + - special_instruction：要加入Prompt的特殊指令。 + - example_output（可选）：示例输出的JSON字符串。 + + 返回： + 生成的最终响应。 + + """ completion = openai.Completion.create( model="gpt-3.5-turbo-instruct", - prompt= prompt, + prompt=prompt, temperature=0, - max_tokens = 500, - top_p = 1, - stream = False, - frequency_penalty = 0, - presence_penalty = 0 + max_tokens=500, + top_p=1, + stream=False, + frequency_penalty=0, + presence_penalty=0 ) return (completion.choices[0].text) # 特殊指令加入Prompt生成 -def final_response(prompt,special_instruction,example_output = None): + + +def final_response(prompt, special_instruction, example_output=None): + """ + 通过将特殊指令加入Prompt生成最终的响应。 + + 参数： + - prompt：要生成响应的提示文本。 + - special_instruction：要加入Prompt的特殊指令。 + - example_output（可选）：示例输出的JSON字符串。 + + 返回： + 生成的最终响应。 + + """ prompt = '"""\n' + prompt + '\n"""\n' prompt += f"Output the response to the prompt above in json. {special_instruction}\n" - if example_output: + if example_output: prompt += "Example output json:\n" prompt += '{"output": "' + str(example_output) + '"}' return response_generate(prompt) # prompt填充模板 + + def prompt_generate(curr_input, prompt_lib_file): """ Takes in the current input (e.g. comment that you want to classifiy) and @@ -45,24 +75,36 @@ def prompt_generate(curr_input, prompt_lib_file): RETURNS: a str prompt that will be sent to OpenAI's GPT server. """ - if type(curr_input) == type("string"): + if type(curr_input) == type("string"): curr_input = [curr_input] curr_input = [str(i) for i in curr_input] f = open(prompt_lib_file, "r") prompt = f.read() f.close() - for count, i in enumerate(curr_input): + for count, i in enumerate(curr_input): prompt = prompt.replace(f"!!", i) - if "###" in prompt: - prompt = prompt.split("###")[1] + if "###" in prompt: + prompt = prompt.split( + "###")[1] return prompt.strip() # 使用OpenAI embedding库进行存储 + + def embedding(query): + """ + Generates an embedding for the given query. + + Args: + query (str): The text query to be embedded. + + Returns: + str: The embedding key generated for the query. + """ embedding_result = openai.Embedding.create( model="text-embedding-ada-002", input=query ) embedding_key = embedding_result['data'][0]["embedding"] - return embedding_key \ No newline at end of file + return embedding_key diff --git a/metagpt/reflect_and_retrieve/pycodetester.py b/metagpt/reflect_and_retrieve/pycodetester.py new file mode 100644 index 000000000..30c9abaec --- /dev/null +++ b/metagpt/reflect_and_retrieve/pycodetester.py @@ -0,0 +1,3 @@ +import pycodestyle as pcs +checker = pcs.StyleGuide() +checker.input_dir('./') diff --git a/metagpt/reflect_and_retrieve/reflect.py b/metagpt/reflect_and_retrieve/reflect.py index ae6487918..bf219073b 100644 --- a/metagpt/reflect_and_retrieve/reflect.py +++ b/metagpt/reflect_and_retrieve/reflect.py @@ -4,72 +4,82 @@ from logging import Logger import time from gpt_structure import final_response import run_gpt -from GA_memory_storage import Agent_memeory,Meomry_basic +from GA_memory_storage import Agent_memory, Meomry_basic from retrive import agent_retrive ''' 首先 ''' + + def agent_reflect(agent): ''' agent:agent本身 ''' pass -def generate_focus_point(memories_list,n=3): - wait_sorted_mem=[[i.accessed_time, i] for i in memories_list] - sorted_memories=sorted(wait_sorted_mem, key=lambda x: x[0]) - memorys=[i for created, i in sorted_memories] - statements='' + +def generate_focus_point(memories_list, n=3): + wait_sorted_mem = [[i.accessed_time, i] for i in memories_list] + sorted_memories = sorted(wait_sorted_mem, key=lambda x: x[0]) + memorys = [i for created, i in sorted_memories] + statements = '' for i in memorys: statements += i.description + "\n" - prompt=''' + prompt = ''' {statements} Given only the information above, what are {num_question} most salient high-level questions we can answer about the subjects grounded in the statements? ''' example_output = '["What should Jane do for lunch", "Does Jane like strawberry", "Who is Jane"]' - out = final_response(prompt.format(statements=statements,num_question=n), "Output must be a list of str.",example_output) + out = final_response(prompt.format(statements=statements, num_question=n), + "Output must be a list of str.", example_output) try: poi_dict = json.loads(out) return (poi_dict['output']) except: return out -def generate_insights_and_evidence(agent,memories_list,question, n=5): - agent_retrive(agent,question,20,10) + +def generate_insights_and_evidence(agent, memories_list, question, n=5): + agent_retrive(agent, question, 20, 10) statements = "" - for count, mem in enumerate(memories_list): + for count, mem in enumerate(memories_list): statements += f'{str(count)}. {mem.description}\n' - prompt=''' + prompt = ''' Input: {statements} What {n} high-level insights can you infer from the above statements? You should return a list of list[str,list] . The first element is the insight you have found.The second element is the ''' - - ret = final_response(prompt.format(question=question,statements=statements,n=n), "['insightA',[1,2,3]]") + + ret = final_response(prompt.format( + question=question, statements=statements, n=n), "['insightA',[1,2,3]]") try: insight_list = json.loads(ret) - for insight,index in insight_list: - agent.memory_list.append(Meomry_basic(time.time(),None,insight,None,None)) + for insight, index in insight_list: + agent.memory_list.append(Meomry_basic( + time.time(), None, insight, None, None)) return (insight_list) except: Logger.error('我们无法获得想要的返回。') return ret + if __name__ == "__main__": # 例子，构建John Agent，实现retrive John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno." - John = Agent_memeory("John",John_iss,memory_path="agent_memories/John_memory.json") + John = Agent_memory( + "John", John_iss, memory_path="agent_memories/John_memory.json") # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} - A=generate_focus_point(John.memories_list) - + A = generate_focus_point(John.memories_list) + for i in A: - B=generate_insights_and_evidence(John,John.memories_list,question=A[0]) + B = generate_insights_and_evidence( + John, John.memories_list, question=A[0]) print(type(B)) print(B) ''' 这里是输出,list形式，返回给记忆。 [['The pharmacy is a friendly and helpful community.', [0, 2, 9, 12]], ['The pharmacy is a place where people come for more than just medication.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for advice and conversation.', [0, 2, 6, 9, 12]], ['The pharmacy is a place where people come for assistance with daily tasks.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for political discussions.', [1]]] - ''' \ No newline at end of file + ''' diff --git a/metagpt/reflect_and_retrieve/retrive.py b/metagpt/reflect_and_retrieve/retrive.py index f3e1fc4c9..9a75a5c29 100644 --- a/metagpt/reflect_and_retrieve/retrive.py +++ b/metagpt/reflect_and_retrieve/retrive.py @@ -9,10 +9,13 @@ from numpy.linalg import norm from gpt_structure import embedding # 实现三(2)合一搜索 -def agent_retrive(agent,query,n,topk): + + +def agent_retrive(agent, query, n, topk): # 将记忆列表按照Nodes[i].accessed_time排列，仅取前十个，如果不够10个就取现有的所有 Nodes = agent.memories_list - sorted_nodes = sorted(Nodes, key=lambda node: node.accessed_time,reverse=True) + sorted_nodes = sorted( + Nodes, key=lambda node: node.accessed_time, reverse=True) Nodes = sorted_nodes[:n] if len(sorted_nodes) >= n else sorted_nodes # 创建一个分数列表 @@ -25,74 +28,88 @@ def agent_retrive(agent,query,n,topk): "relevance":搜索结果 } """ - Score_list = extract_importance(Nodes,Score_list) - Score_list = extract_recency(Score_list) # 计算近因性函数还没有实现，目前都是1 - Score_list = extract_relevance(Score_list,query) + Score_list = extract_importance(Nodes, Score_list) + Score_list = extract_recency(Score_list) # 计算近因性函数还没有实现，目前都是1 + Score_list = extract_relevance(Score_list, query) - Score_list = normalize_Socre_floats(Score_list,0,1) - total_dict = {} - gw = [1,1,1] # 三个因素的权重,重要性，近因性，相关性 + Score_list = normalize_Socre_floats(Score_list, 0, 1) + total_dict = {} + gw = [1, 1, 1] # 三个因素的权重,重要性，近因性，相关性 for i in range(len(Score_list)): total_score = (Score_list[i]['importance']*gw[0] + Score_list[i]['recency']*gw[1] + Score_list[i]['relevance']*gw[2] - ) - total_dict[Score_list[i]['memory'].description] = total_score - - result = top_highest_x_values(total_dict,topk) + ) + total_dict[Score_list[i]['memory'].description] = total_score + + result = top_highest_x_values(total_dict, topk) return result + def top_highest_x_values(d, x): - top_v = dict(sorted(d.items(), - key=lambda item: item[1], - reverse=True)[:x]) - return top_v + top_v = dict(sorted(d.items(), + key=lambda item: item[1], + reverse=True)[:x]) + return top_v # 抽取重要性 -def extract_importance(Nodes,Score_list): + + +def extract_importance(Nodes, Score_list): for i in range(len(Nodes)): - Score = {"memory":Nodes[i], - "importance":Nodes[i].poignancy + Score = {"memory": Nodes[i], + "importance": Nodes[i].poignancy } Score_list.append(Score) return Score_list # 抽取相关性 -def extract_relevance(Score_list,query): + + +def extract_relevance(Score_list, query): query_embedding = embedding(query) # 进行 for i in range(len(Score_list)): - result = cos_sim(Score_list[i]["memory"].embedding_key,query_embedding) - Score_list[i]['relevance'] = result + result = cos_sim( + Score_list[i]["memory"].embedding_key, query_embedding) + Score_list[i]['relevance'] = result return Score_list # 抽取近因性 + + def extract_recency(Score_list): for i in range(len(Score_list)): - Score_list[i]['recency'] = 1 + Score_list[i]['recency'] = 1 return Score_list # 计算余弦相似度 -def cos_sim(a, b): - return dot(a, b)/(norm(a)*norm(b)) + + +def cos_sim(a, b): + return dot(a, b)/(norm(a)*norm(b)) # 单个列表归一化 -def normalize_List_floats(Single_list,target_min, target_max): + + +def normalize_List_floats(Single_list, target_min, target_max): min_val = min(Single_list) max_val = max(Single_list) range_val = max_val - min_val - if range_val == 0: + if range_val == 0: for i in range(len(Single_list)): - Single_list[i] = (target_max - target_min)/2 - else: + Single_list[i] = (target_max - target_min)/2 + else: for i in range(len(Single_list)): - Single_list[i] = ((Single_list[i] - min_val) * (target_max - target_min) - / range_val + target_min) + Single_list[i] = ((Single_list[i] - min_val) * (target_max - target_min) + / range_val + target_min) return Single_list # 整体归一化 + + def normalize_Socre_floats(Score_list, target_min, target_max): importance_list = [] @@ -100,33 +117,20 @@ def normalize_Socre_floats(Score_list, target_min, target_max): recency_list = [] for i in range(len(Score_list)): - importance_list.append(Score_list[i]['importance']) - relevance_list.append(Score_list[i]['relevance']) - recency_list.append(Score_list[i]['recency']) + importance_list.append(Score_list[i]['importance']) + relevance_list.append(Score_list[i]['relevance']) + recency_list.append(Score_list[i]['recency']) # 进行归一化操作 - importance_list = normalize_List_floats(importance_list,target_min, target_max) - relevance_list = normalize_List_floats(relevance_list,target_min, target_max) - recency_list =normalize_List_floats(recency_list,target_min, target_max) + importance_list = normalize_List_floats( + importance_list, target_min, target_max) + relevance_list = normalize_List_floats( + relevance_list, target_min, target_max) + recency_list = normalize_List_floats(recency_list, target_min, target_max) for i in range(len(Score_list)): Score_list[i]['importance'] = importance_list[i] Score_list[i]['relevance'] = relevance_list[i] Score_list[i]['recency'] = recency_list[i] - + return Score_list - - - - - - - - - - - - - - - diff --git a/metagpt/reflect_and_retrieve/run_gpt.py b/metagpt/reflect_and_retrieve/run_gpt.py index 122ba8696..71d2a7a3d 100644 --- a/metagpt/reflect_and_retrieve/run_gpt.py +++ b/metagpt/reflect_and_retrieve/run_gpt.py @@ -6,17 +6,19 @@ import random import json -from gpt_structure import final_response,prompt_generate +from gpt_structure import final_response, prompt_generate -# 使用GPT衡量心酸程度 -def run_gpt_prompt_chat_poignancy(agent,event_description): +# 使用GPT衡量心酸程度 + + +def run_gpt_prompt_chat_poignancy(agent, event_description): """ 使用GA中的run GPT构造，具体的代码可以参考昨天GPT的内容 https://chat.openai.com/c/afddac31-300e-427b-9947-4b3ca16bd3a1 其中输入的ISS是identity stable set """ - def create_prompt_input(agent,event_description): - prompt_input = [agent.name, + def create_prompt_input(agent, event_description): + prompt_input = [agent.name, agent.iss, agent.name, event_description] @@ -24,35 +26,37 @@ def run_gpt_prompt_chat_poignancy(agent,event_description): # 1. Prompt构建 # 2. Instruction给出 - prompt_template = "Prompt_template/poignancy_chat_v1.txt" ######## - prompt_input = create_prompt_input(agent, event_description) ######## + prompt_template = "Prompt_template/poignancy_chat_v1.txt" + prompt_input = create_prompt_input(agent, event_description) prompt = prompt_generate(prompt_input, prompt_template) special_instruction = "The output should ONLY contain ONE integer value on the scale of 1 to 10." - poignancy = final_response(prompt,special_instruction) + poignancy = final_response(prompt, special_instruction) try: poi_dict = json.loads(poignancy) return (poi_dict['poignancy']) except: return poignancy - + # 返回John随机记忆 + + def run_gpt_random_concept(): random_memories = [ - "Helped Mrs. Moore carry groceries into her house.", - "Had a friendly chat with Yuriko about her garden.", - "Met Tom Moreno for coffee during our lunch break.", - "Talked to Mei about their upcoming vacation plans.", - "Eddy played his new music composition for me.", - "Helped a customer find a specific medication.", - "John divorced his wife because he was in love with someone else", - "Helped Mrs. Moore carry groceries into her house.", - "Had a friendly chat with Yuriko about her garden.", - "Met Tom Moreno for coffee during our lunch break.", - "Talked to Mei about their upcoming vacation plans.", - "Eddy played his new music composition for me.", - "Helped a customer find a specific medication.", - "Wished Carmen a good day as she passed by the pharmacy.", - "Discussed local politics with Tom Moreno.", - "Gave gardening tips to Mrs. Yamamoto.", - "Saw Jane Moreno jogging in the morning."] - return(random.choice(random_memories)) + "Helped Mrs. Moore carry groceries into her house.", + "Had a friendly chat with Yuriko about her garden.", + "Met Tom Moreno for coffee during our lunch break.", + "Talked to Mei about their upcoming vacation plans.", + "Eddy played his new music composition for me.", + "Helped a customer find a specific medication.", + "John divorced his wife because he was in love with someone else", + "Helped Mrs. Moore carry groceries into her house.", + "Had a friendly chat with Yuriko about her garden.", + "Met Tom Moreno for coffee during our lunch break.", + "Talked to Mei about their upcoming vacation plans.", + "Eddy played his new music composition for me.", + "Helped a customer find a specific medication.", + "Wished Carmen a good day as she passed by the pharmacy.", + "Discussed local politics with Tom Moreno.", + "Gave gardening tips to Mrs. Yamamoto.", + "Saw Jane Moreno jogging in the morning."] + return (random.choice(random_memories)) From e1d399e24c461fce32a22c4db9148601b3244ecb Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 26 Sep 2023 13:01:12 +0800 Subject: [PATCH 13/30] v 1.4 --- metagpt/reflect_and_retrieve/GA_memory_storage.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/metagpt/reflect_and_retrieve/GA_memory_storage.py b/metagpt/reflect_and_retrieve/GA_memory_storage.py index b960b73f3..db2e5c559 100644 --- a/metagpt/reflect_and_retrieve/GA_memory_storage.py +++ b/metagpt/reflect_and_retrieve/GA_memory_storage.py @@ -129,7 +129,10 @@ if __name__ == "__main__": for i in range(len(John.memories_list)): print(f"John记忆为:{John.memories_list[i].description}") print(f"心酸程度为:{John.memories_list[i].poignancy}") - query = "How has John's personal connection with his neighbors, such as the Moores and Yuriko, influenced his role as a pharmacy shopkeeper?" + query = """ + How has John's personal connection with his neighbors, + such as the Moores and Yuriko, influenced his role as a pharmacy shopkeeper? + """ Top_v = agent_retrive(John, query, 10, 3) print(f"John的相关信息：{Top_v}") From e2af76fb08d172ee22f794f0661413dda9d21531 Mon Sep 17 00:00:00 2001 From: ziming <2216646743@qq.com> Date: Tue, 26 Sep 2023 13:41:35 +0800 Subject: [PATCH 14/30] v1.4 --- metagpt/reflect_and_retrieve/GA_memory_storage.py | 10 +++++----- metagpt/reflect_and_retrieve/gpt_structure.py | 2 +- metagpt/reflect_and_retrieve/reflect.py | 11 +++++------ 3 files changed, 11 insertions(+), 12 deletions(-) diff --git a/metagpt/reflect_and_retrieve/GA_memory_storage.py b/metagpt/reflect_and_retrieve/GA_memory_storage.py index db2e5c559..c5ca24729 100644 --- a/metagpt/reflect_and_retrieve/GA_memory_storage.py +++ b/metagpt/reflect_and_retrieve/GA_memory_storage.py @@ -13,7 +13,7 @@ import json # Meomry_basic 类 -class Meomry_basic: +class Memory_basic: def __init__( self, created_time, accessed_time, description, @@ -48,7 +48,7 @@ class Agent_memory(object): def __init__(self, name: str, iss: str, memory_forget: float = 0.99, - memories_list: list[Meomry_basic] = [], memory_path: str = None) -> None: + memories_list: list[Memory_basic] = [], memory_path: str = None) -> None: ''' 定义Agent,替换原有Agent使用，需要其他人根据需求补全功能。 Attributes: @@ -81,7 +81,7 @@ class Agent_memory(object): memory_data = [mem.__dict__ for mem in self.memories_list] json.dump(memory_data, file) - def memory_load(self, PATH: str) -> list[Meomry_basic]: + def memory_load(self, PATH: str) -> list[Memory_basic]: """ 将Memory从指定路径的JSON文件中Load出来,返回一个记忆列表;如果load失败，返回一个空列表。 Args: @@ -92,7 +92,7 @@ class Agent_memory(object): try: with open(PATH, 'r') as file: memory_data = json.load(file) - self.memories_list = [Meomry_basic( + self.memories_list = [Memory_basic( **mem) for mem in memory_data] return self.memories_list except OSError: @@ -121,7 +121,7 @@ if __name__ == "__main__": memory = run_gpt_random_concept() curr_time = time.time() poignancy = run_gpt_prompt_chat_poignancy(John, memory) - M = Meomry_basic(curr_time, curr_time, memory, poignancy) + M = Memory_basic(curr_time, curr_time, memory, poignancy) John.memories_list.append(M) John.memory_save(John.memory_path) diff --git a/metagpt/reflect_and_retrieve/gpt_structure.py b/metagpt/reflect_and_retrieve/gpt_structure.py index c5397dfd3..f9a44725c 100644 --- a/metagpt/reflect_and_retrieve/gpt_structure.py +++ b/metagpt/reflect_and_retrieve/gpt_structure.py @@ -75,7 +75,7 @@ def prompt_generate(curr_input, prompt_lib_file): RETURNS: a str prompt that will be sent to OpenAI's GPT server. """ - if type(curr_input) == type("string"): + if type(curr_input) is type("string"): curr_input = [curr_input] curr_input = [str(i) for i in curr_input] diff --git a/metagpt/reflect_and_retrieve/reflect.py b/metagpt/reflect_and_retrieve/reflect.py index bf219073b..1e1bb1352 100644 --- a/metagpt/reflect_and_retrieve/reflect.py +++ b/metagpt/reflect_and_retrieve/reflect.py @@ -4,11 +4,8 @@ from logging import Logger import time from gpt_structure import final_response import run_gpt -from GA_memory_storage import Agent_memory, Meomry_basic +from GA_memory_storage import Agent_memory, Memory_basic from retrive import agent_retrive -''' -首先 -''' def agent_reflect(agent): @@ -35,7 +32,9 @@ def generate_focus_point(memories_list, n=3): try: poi_dict = json.loads(out) return (poi_dict['output']) - except: + except ValueError: + print(out) + Logger.error('无法返回正常结果') return out @@ -57,7 +56,7 @@ def generate_insights_and_evidence(agent, memories_list, question, n=5): try: insight_list = 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1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c326190b0..4bc480a01 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,7 @@ # MetaGPT: The Multi-Agent Framework

-MetaGPT logo: Enable GPT to work in software company, collaborating to tackle more complex tasks. +MetaGPT logo: Enable GPT to work in software company, collaborating to tackle more complex tasks.

From 1987352840408cc7b0e93b2d2de9af14f68de6e4 Mon Sep 17 00:00:00 2001 From: Sirui Hong <34952977+stellaHSR@users.noreply.github.com> Date: Thu, 12 Oct 2023 23:16:46 +0800 Subject: [PATCH 17/30] Update README_JA.md change logo of MetaGPT --- docs/README_JA.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/README_JA.md b/docs/README_JA.md index eab69d912..6ffc80ac7 100644 --- a/docs/README_JA.md +++ b/docs/README_JA.md @@ -1,7 +1,7 @@ # MetaGPT: マルチエージェントフレームワーク

-MetaGPT ロゴ: GPT がソフトウェア会社で働けるようにし、協力してより複雑な仕事に取り組む。 +MetaGPT ロゴ: GPT がソフトウェア会社で働けるようにし、協力してより複雑な仕事に取り組む。

From 6d0081c59b4ee26a61409c6b8bf773182298c98b Mon Sep 17 00:00:00 2001 From: Sirui Hong <34952977+stellaHSR@users.noreply.github.com> Date: Thu, 12 Oct 2023 23:17:50 +0800 Subject: [PATCH 18/30] Update README_CN.md Change logo of MetaGPT --- docs/README_CN.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/README_CN.md b/docs/README_CN.md index 7a27a0e59..308d6a131 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -1,7 +1,7 @@ # MetaGPT: 多智能体框架

-MetaGPT logo: 使 GPT 以软件公司的形式工作，协作处理更复杂的任务 +MetaGPT logo: 使 GPT 以软件公司的形式工作，协作处理更复杂的任务

From f3c7da32a02da20bab726e41d1f4055e98f4577b Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Mon, 16 Oct 2023 22:53:28 +0800 Subject: [PATCH 19/30] =?UTF-8?q?=E6=8C=89=E7=85=A7=E8=A6=81=E6=B1=82?= =?UTF-8?q?=E4=BF=AE=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 10 +- config/config.yaml | 22 +- debating_tournament.py | 135 ----------- docs/README_CN.md | 12 +- docs/README_JA.md | 10 +- examples/llm_hello_world.py | 5 +- metagpt/actions/action.py | 2 +- metagpt/actions/design_api.py | 6 + metagpt/config.py | 16 +- metagpt/llm.py | 4 +- metagpt/management/skill_manager.py | 4 +- metagpt/manager.py | 4 +- metagpt/memory/longterm_memory.py | 16 +- metagpt/memory/memory.py | 4 +- metagpt/memory/memory_storage.py | 2 +- metagpt/prompts/generate_skill.md | 6 +- metagpt/provider/SparkApi.py | 138 ------------ metagpt/provider/spark_api.py | 212 ++++++++++++++---- .../reflect_and_retrieve/GA_memory_storage.py | 140 ------------ .../Prompt_template/poignancy_chat_v1.txt | 17 -- .../__MACOSX/GA_memory_stream/._.DS_Store | Bin 120 -> 0 bytes .../agent_memories/._.DS_Store | Bin 120 -> 0 bytes .../agent_memories/John_memory.json | 1 - metagpt/reflect_and_retrieve/gpt_structure.py | 110 --------- metagpt/reflect_and_retrieve/pycodetester.py | 3 - metagpt/reflect_and_retrieve/reflect.py | 84 ------- metagpt/reflect_and_retrieve/retrive.py | 136 ----------- metagpt/reflect_and_retrieve/run_gpt.py | 62 ----- metagpt/roles/role.py | 6 +- metagpt/schema.py | 1 + metagpt/tools/moderation.py | 40 ++++ metagpt/utils/common.py | 4 +- metagpt/utils/serialize.py | 6 +- requirements.txt | 2 +- tests/metagpt/actions/test_write_code.py | 4 +- tests/metagpt/memory/test_longterm_memory.py | 12 +- tests/metagpt/provider/test_xinghuo_api.py | 4 + tests/metagpt/roles/mock.py | 2 +- tests/metagpt/test_llm.py | 2 +- tests/metagpt/tools/test_moderation.py | 42 ++++ webui.py | 0 41 files changed, 342 insertions(+), 944 deletions(-) delete mode 100644 debating_tournament.py delete mode 100644 metagpt/provider/SparkApi.py delete mode 100644 metagpt/reflect_and_retrieve/GA_memory_storage.py delete mode 100644 metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt delete mode 100644 metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/._.DS_Store delete mode 100644 metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/agent_memories/._.DS_Store delete mode 100644 metagpt/reflect_and_retrieve/agent_memories/John_memory.json delete mode 100644 metagpt/reflect_and_retrieve/gpt_structure.py delete mode 100644 metagpt/reflect_and_retrieve/pycodetester.py delete mode 100644 metagpt/reflect_and_retrieve/reflect.py delete mode 100644 metagpt/reflect_and_retrieve/retrive.py delete mode 100644 metagpt/reflect_and_retrieve/run_gpt.py create mode 100644 metagpt/tools/moderation.py create mode 100644 tests/metagpt/provider/test_xinghuo_api.py create mode 100644 tests/metagpt/tools/test_moderation.py delete mode 100644 webui.py diff --git a/README.md b/README.md index 91a5483e0..c326190b0 100644 --- a/README.md +++ b/README.md @@ -15,7 +15,7 @@ # MetaGPT: The Multi-Agent Framework Discord Follow License: MIT roadmap -Twitter Follow +Twitter Follow

@@ -162,9 +162,9 @@ ### Installation by Docker ```bash # Step 1: Download metagpt official image and prepare config.yaml -docker pull metagpt/metagpt:v0.3.1 +docker pull metagpt/metagpt:latest mkdir -p /opt/metagpt/{config,workspace} -docker run --rm metagpt/metagpt:v0.3.1 cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml +docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml vim /opt/metagpt/config/key.yaml # Change the config # Step 2: Run metagpt demo with container @@ -172,7 +172,7 @@ # Step 2: Run metagpt demo with container --privileged \ -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:v0.3.1 \ + metagpt/metagpt:latest \ python startup.py "Write a cli snake game" # You can also start a container and execute commands in it @@ -180,7 +180,7 @@ # You can also start a container and execute commands in it --privileged \ -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:v0.3.1 + metagpt/metagpt:latest docker exec -it metagpt /bin/bash $ python startup.py "Write a cli snake game" diff --git a/config/config.yaml b/config/config.yaml index a60d2dbdd..de6254898 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -15,18 +15,18 @@ RPM: 10 #### if Anthropic #Anthropic_API_KEY: "YOUR_API_KEY" -#### if xinghuo -#xinghuo_appid : "APPID" -#xinghuo_api_secret : "APISecret" -#xinghuo_api_key : "APIKey" +#### if Xinghuo +#XINGHUO_APPID : "YOUR_APPID" +#XINGHUO_API_SECRET : "YOUR_APISecret" +#XINGHUO_API_KEY : "YOUR_APIKey" +#DOMAIN : "generalv2" +#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" -#domain : "generalv2" - -#Spark_url : "ws://spark-api.xf-yun.com/v2.1/chat" - -#### 如果不能使用api - -#no_api_mode :"true" +XINGHUO_APPID : "ae5e30f4" +XINGHUO_API_SECRET : "MDhlOWE2NmFhOWMxZWRkOTdlYjY2Njk1" +XINGHUO_API_KEY : "97b635fe5927d34a857333e11d15f29f" +DOMAIN : "generalv2" +SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" #### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb #### You can use ENGINE or DEPLOYMENT mode diff --git a/debating_tournament.py b/debating_tournament.py deleted file mode 100644 index 8971a12c1..000000000 --- a/debating_tournament.py +++ /dev/null @@ -1,135 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -""" -@Time : 2023/9/20 00:30 -@Author : zhouziming -@File : debating_tourmament.py -""" -import asyncio -import platform -import fire -from pydantic import BaseModel, Field - -from metagpt.actions import BossRequirement -from metagpt.config import CONFIG -from metagpt.environment import Environment -from metagpt.logs import logger -from metagpt.roles import Role -from metagpt.schema import Message -from metagpt.utils.common import NoMoneyException -from metagpt.llm import DEFAULT_LLM -正方一辩提示词=''' -##角色 -现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 -##要求 -您的立论题目是{正方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 -''' -反方一辩提示词=''' -##角色 -现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 -##要求 -您的立论题目是{反方辩题}。您的立论稿应该包括明确自己的论点，解释自己论点的含义，然后使用对论点有利的论据来支撑自己的论点。最后使用生活中的示例来论证自己的论点。 -''' -正方一辩评价提示词=''' -##角色 -现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 -##要求 -你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 -##辩题 -{正方辩题} -##立论稿 -{正方立论稿} -''' -反方一辩评价提示词=''' -##角色 -现在你是一名高水平，有辩论技巧辩论赛裁判，根据辩论赛而不是自身立场来评价。 -##要求 -你的任务是根据一辩辩手的立论稿对辩手的立论进行评价，指出改进空间。评价应当包括：立论稿内容是否符合辩题、逻辑表达是否清晰、论据是否能够支撑论点、能否结合实际方面进行评价。并在进行中立，客观的评价后，给出自己的评分。评分从A+到C-。 -##辩题 -{反方辩题} -##立论稿 -{反方立论稿} -''' -正方质询提示词=''' -##角色 -现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 -##要求 -你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 -##辩题 -{正方辩题} -##立论稿 -{反方立论稿} -''' -反方回答提示词=''' -##角色 -现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 -##要求 -你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 -##辩题 -{反方辩题} -##立论稿 -{反方立论稿} -##疑问 -{正方质询} -''' -反方质询提示词=''' -##角色 -现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 -##要求 -你的任务是，根据自己辩题，针对立论稿提出疑问。疑问内容不超过五条，每条只限一句话。 -##辩题 -{反方辩题} -##立论稿 -{正方立论稿} -''' -正方回答提示词=''' -##角色 -现在你是一名高水平，有辩论技巧，有强大表达能力的辩手。 -##要求 -你的任务是，根据立论稿对对手提出的疑问进行回答。对每个问题的回答应限制在三句话以内。回答内容和疑问应当一一对应。 -##辩题 -{正方辩题} -##立论稿 -{正方立论稿} -##疑问 -{反方质询} -''' -def main( - zf:str='人性本善', - ff:str='人性本恶' -): - """ - """ - if platform.system() == "Windows": - asyncio.set_event_loop_policy(asyncio.WindowsSelectorEventLoopPolicy()) - asyncio.run(startup(zf,ff)) - -async def startup(正方辩题:str,反方辩题:str): - llm=DEFAULT_LLM - #一辩环节 - #正方 - - 正方立论稿=await llm.aask(正方一辩提示词.format(正方辩题=正方辩题)) - #反方 - - 反方立论稿=await llm.aask(反方一辩提示词.format(反方辩题=反方辩题)) - #裁判评价环节 - - 正方一辩评价=await llm.aask(正方一辩评价提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿)) - - 反方一辩评价=await llm.aask(反方一辩评价提示词.format(反方辩题=反方辩题,反方立论稿=反方立论稿)) - #二辩质询环节 - #正方质询 - - 正方质询=await llm.aask(正方质询提示词.format(正方辩题=正方辩题,反方立论稿=反方立论稿)) - #反方回答 - - 反方回答=await llm.aask(反方回答提示词.format(反方辩题=反方辩题,反方立论稿=反方立论稿,正方质询=正方质询)) - #反方质询 - - 反方质询=await llm.aask(反方质询提示词.format(反方辩题=反方辩题,正方立论稿=正方立论稿)) - #正方回答 - - 正方回答=await llm.aask(正方回答提示词.format(正方辩题=正方辩题,正方立论稿=正方立论稿,反方质询=反方质询)) -if __name__ == '__main__': - fire.Fire(main) diff --git a/docs/README_CN.md b/docs/README_CN.md index 1372bf9f4..7a27a0e59 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -15,7 +15,7 @@ # MetaGPT: 多智能体框架 Discord Follow License: MIT roadmap -Twitter Follow +Twitter Follow

@@ -87,9 +87,9 @@ ### Docker安装 ```bash # 步骤1: 下载metagpt官方镜像并准备好config.yaml -docker pull metagpt/metagpt:v0.3 +docker pull metagpt/metagpt:latest mkdir -p /opt/metagpt/{config,workspace} -docker run --rm metagpt/metagpt:v0.3 cat /app/metagpt/config/config.yaml > /opt/metagpt/config/config.yaml +docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/config.yaml vim /opt/metagpt/config/config.yaml # 修改config # 步骤2: 使用容器运行metagpt演示 @@ -97,7 +97,7 @@ # 步骤2: 使用容器运行metagpt演示 --privileged \ -v /opt/metagpt/config:/app/metagpt/config \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:v0.3 \ + metagpt/metagpt:latest \ python startup.py "Write a cli snake game" # 您也可以启动一个容器并在其中执行命令 @@ -105,7 +105,7 @@ # 您也可以启动一个容器并在其中执行命令 --privileged \ -v /opt/metagpt/config:/app/metagpt/config \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:v0.3 + metagpt/metagpt:latest docker exec -it metagpt /bin/bash $ python startup.py "Write a cli snake game" @@ -123,7 +123,7 @@ ### 自己构建镜像 ```bash # 您也可以自己构建metagpt镜像 git clone https://github.com/geekan/MetaGPT.git -cd MetaGPT && docker build -t metagpt:v0.3 . +cd MetaGPT && docker build -t metagpt:custom . ``` ## 配置 diff --git a/docs/README_JA.md b/docs/README_JA.md index 8d6c2fe84..eab69d912 100644 --- a/docs/README_JA.md +++ b/docs/README_JA.md @@ -15,7 +15,7 @@ # MetaGPT: マルチエージェントフレームワーク Discord Follow License: MIT roadmap -Twitter Follow +Twitter Follow

@@ -92,9 +92,9 @@ ### Docker によるインストール ```bash # ステップ 1: metagpt 公式イメージをダウンロードし、config.yaml を準備する -docker pull metagpt/metagpt:v0.3.1 +docker pull metagpt/metagpt:latest mkdir -p /opt/metagpt/{config,workspace} -docker run --rm metagpt/metagpt:v0.3.1 cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml +docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml vim /opt/metagpt/config/key.yaml # 設定を変更する # ステップ 2: コンテナで metagpt デモを実行する @@ -102,7 +102,7 @@ # ステップ 2: コンテナで metagpt デモを実行する --privileged \ -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:v0.3.1 \ + metagpt/metagpt:latest \ python startup.py "Write a cli snake game" # コンテナを起動し、その中でコマンドを実行することもできます @@ -110,7 +110,7 @@ # コンテナを起動し、その中でコマンドを実行することもで --privileged \ -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \ -v /opt/metagpt/workspace:/app/metagpt/workspace \ - metagpt/metagpt:v0.3.1 + metagpt/metagpt:latest docker exec -it metagpt /bin/bash $ python startup.py "Write a cli snake game" diff --git a/examples/llm_hello_world.py b/examples/llm_hello_world.py index d6d24b688..3ba03eea0 100644 --- a/examples/llm_hello_world.py +++ b/examples/llm_hello_world.py @@ -7,11 +7,12 @@ """ import asyncio -import metagpt.llm as LLM +from metagpt.llm import LLM, Claude +from metagpt.logs import logger async def main(): - llm=LLM.DEFAULT_LLM + llm = LLM() claude = Claude() logger.info(await claude.aask('你好，请进行自我介绍')) logger.info(await llm.aask('hello world')) diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py index 8e1d5c85d..790295d55 100644 --- a/metagpt/actions/action.py +++ b/metagpt/actions/action.py @@ -22,7 +22,7 @@ class Action(ABC): def __init__(self, name: str = "", context=None, llm: LLM = None): self.name: str = name if llm is None: - llm=LLM.DEFAULT_LLM + llm = LLM() self.llm = llm self.context = context self.prefix = "" diff --git a/metagpt/actions/design_api.py b/metagpt/actions/design_api.py index f19fcbeaa..75df8b909 100644 --- a/metagpt/actions/design_api.py +++ b/metagpt/actions/design_api.py @@ -207,5 +207,11 @@ class WriteDesign(Action): prompt = prompt_template.format(context=context, format_example=format_example) # system_design = await self._aask(prompt) system_design = await self._aask_v1(prompt, "system_design", OUTPUT_MAPPING, format=format) + # fix Python package name, we can't system_design.instruct_content.python_package_name = "xxx" since "Python package name" contain space, have to use setattr + setattr( + system_design.instruct_content, + "Python package name", + system_design.instruct_content.dict()["Python package name"].strip().strip("'").strip('"'), + ) await self._save(context, system_design) return system_design diff --git a/metagpt/config.py b/metagpt/config.py index 146fb957b..ab57ae614 100644 --- a/metagpt/config.py +++ b/metagpt/config.py @@ -45,18 +45,8 @@ class Config(metaclass=Singleton): self.global_proxy = self._get("GLOBAL_PROXY") self.openai_api_key = self._get("OPENAI_API_KEY") self.anthropic_api_key = self._get("Anthropic_API_KEY") - - #星火大模型相关 - self.xinghuo_appid = self._get("xinghuo_appid") - self.xinghuo_api_secret = self._get("xinghuo_api_secret") - self.xinghuo_api_key = self._get("xinghuo_api_key") - self.domain=self._get("domain") - self.Spark_url=self._get("Spark_url") - self.no_api_mode=self._get("no_api_mode") if (not self.openai_api_key or "YOUR_API_KEY" == self.openai_api_key) and ( not self.anthropic_api_key or "YOUR_API_KEY" == self.anthropic_api_key - )and ( - not self.xinghuo_api_key or "APIKey" == self.xinghuo_api_key ): raise NotConfiguredException("Set OPENAI_API_KEY or Anthropic_API_KEY first") self.openai_api_base = self._get("OPENAI_API_BASE") @@ -72,6 +62,12 @@ class Config(metaclass=Singleton): self.deployment_name = self._get("DEPLOYMENT_NAME") self.deployment_id = self._get("DEPLOYMENT_ID") + self.xinghuo_appid=self._get("XINGHUO_APPID") + self.xinghuo_api_secret = self._get("XINGHUO_API_SECRET") + self.xinghuo_api_key = self._get("XINGHUO_API_KEY") + self.domain = self._get("DOMAIN") + self.spark_url = self._get("SPARK_URL") + self.claude_api_key = self._get("Anthropic_API_KEY") self.serpapi_api_key = self._get("SERPAPI_API_KEY") self.serper_api_key = self._get("SERPER_API_KEY") diff --git a/metagpt/llm.py b/metagpt/llm.py index 68945e71e..e6f815950 100644 --- a/metagpt/llm.py +++ b/metagpt/llm.py @@ -8,9 +8,9 @@ from metagpt.provider.anthropic_api import Claude2 as Claude from metagpt.provider.openai_api import OpenAIGPTAPI as LLM -from metagpt.provider.spark_api import Spark -DEFAULT_LLM = Spark() +DEFAULT_LLM = LLM() +CLAUDE_LLM = Claude() async def ai_func(prompt): """使用LLM进行QA diff --git a/metagpt/management/skill_manager.py b/metagpt/management/skill_manager.py index 4852e452f..f967a0a94 100644 --- a/metagpt/management/skill_manager.py +++ b/metagpt/management/skill_manager.py @@ -8,7 +8,7 @@ from metagpt.actions import Action from metagpt.const import PROMPT_PATH from metagpt.document_store.chromadb_store import ChromaStore -import metagpt.llm as LLM +from metagpt.llm import LLM from metagpt.logs import logger Skill = Action @@ -18,7 +18,7 @@ class SkillManager: """Used to manage all skills""" def __init__(self): - self._llm=LLM.DEFAULT_LLM + self._llm = LLM() self._store = ChromaStore('skill_manager') self._skills: dict[str: Skill] = {} diff --git a/metagpt/manager.py b/metagpt/manager.py index 3f6c115f3..9d238c621 100644 --- a/metagpt/manager.py +++ b/metagpt/manager.py @@ -5,13 +5,13 @@ @Author : alexanderwu @File : manager.py """ -import metagpt.llm as LLM +from metagpt.llm import LLM from metagpt.logs import logger from metagpt.schema import Message class Manager: - def __init__(self, llm: llm=LLM.DEFAULT_LLM): + def __init__(self, llm: LLM = LLM()): self.llm = llm # Large Language Model self.role_directions = { "BOSS": "Product Manager", diff --git a/metagpt/memory/longterm_memory.py b/metagpt/memory/longterm_memory.py index 1f4698704..f8abea5f3 100644 --- a/metagpt/memory/longterm_memory.py +++ b/metagpt/memory/longterm_memory.py @@ -42,21 +42,21 @@ class LongTermMemory(Memory): # and ignore adding messages from recover repeatedly self.memory_storage.add(message) - def remember(self, observed: list[Message], k=0) -> list[Message]: + def find_news(self, observed: list[Message], k=0) -> list[Message]: """ - remember the most similar k memories from observed Messages, return all when k=0 - 1. remember the short-term memory(stm) news - 2. integrate the stm news with ltm(long-term memory) news + 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 + 2. furthermore, filter out similar messages based on ltm(long-term memory), get the final news """ - stm_news = super(LongTermMemory, self).remember(observed, k=k) # shot-term memory news + stm_news = super(LongTermMemory, self).find_news(observed, k=k) # shot-term memory news if not self.memory_storage.is_initialized: - # memory_storage hasn't initialized, use default `remember` to get stm_news + # memory_storage hasn't initialized, use default `find_news` to get stm_news return stm_news ltm_news: list[Message] = [] for mem in stm_news: - # integrate stm & ltm - mem_searched = self.memory_storage.search(mem) + # 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: ltm_news.append(mem) return ltm_news[-k:] diff --git a/metagpt/memory/memory.py b/metagpt/memory/memory.py index 92f0428a7..c818fa707 100644 --- a/metagpt/memory/memory.py +++ b/metagpt/memory/memory.py @@ -63,8 +63,8 @@ class Memory: """Return the most recent k memories, return all when k=0""" return self.storage[-k:] - def remember(self, observed: list[Message], k=0) -> list[Message]: - """remember the most recent k memories from observed Messages, return all when k=0""" + 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""" already_observed = self.get(k) news: list[Message] = [] for i in observed: diff --git a/metagpt/memory/memory_storage.py b/metagpt/memory/memory_storage.py index 8b639150c..302d96aa7 100644 --- a/metagpt/memory/memory_storage.py +++ b/metagpt/memory/memory_storage.py @@ -74,7 +74,7 @@ class MemoryStorage(FaissStore): self.persist() logger.info(f"Agent {self.role_id}'s memory_storage add a message") - def search(self, message: Message, k=4) -> List[Message]: + def search_dissimilar(self, message: Message, k=4) -> List[Message]: """search for dissimilar messages""" if not self.store: return [] diff --git a/metagpt/prompts/generate_skill.md b/metagpt/prompts/generate_skill.md index dd28df079..74948cd15 100644 --- a/metagpt/prompts/generate_skill.md +++ b/metagpt/prompts/generate_skill.md @@ -9,10 +9,10 @@ ```python from typing import Optional from abc import ABC -import metagpt.llm as LLM # 大语言模型，类似GPT - +from metagpt.llm import LLM # Large language model, similar to GPT +n class Action(ABC): - def __init__(self, name='', context=None, llm: llm=LLM.DEFAULT_LLM): + def __init__(self, name='', context=None, llm: LLM = LLM()): self.name = name self.llm = llm self.context = context diff --git a/metagpt/provider/SparkApi.py b/metagpt/provider/SparkApi.py deleted file mode 100644 index 7ce57c22a..000000000 --- a/metagpt/provider/SparkApi.py +++ /dev/null @@ -1,138 +0,0 @@ -import _thread as thread -import base64 -import datetime -import hashlib -import hmac -import json -from urllib.parse import urlparse -import ssl -from datetime import datetime -from time import mktime -from urllib.parse import urlencode -from wsgiref.handlers import format_date_time -from metagpt.logs import logger - -import websocket # 使用websocket_client -answer = "" - -class Ws_Param(object): - # 初始化 - def __init__(self, appid, apikey, apiSecret, spark_url): - self.appid = appid - self.apikey = apikey - self.apiSecret = apiSecret - self.host = urlparse(spark_url).netloc - self.path = urlparse(spark_url).path - self.spark_url = spark_url - - # 生成url - def create_url(self): - # 生成RFC1123格式的时间戳 - now = datetime.now() - date = format_date_time(mktime(now.timetuple())) - - # 拼接字符串 - signature_origin = "host: " + self.host + "\n" - signature_origin += "date: " + date + "\n" - signature_origin += "GET " + self.path + " HTTP/1.1" - - # 进行hmac-sha256进行加密 - signature_sha = hmac.new(self.apiSecret.encode('utf-8'), signature_origin.encode('utf-8'), - digestmod=hashlib.sha256).digest() - - signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8') - - authorization_origin = f'api_key="{self.apikey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' - - authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8') - - # 将请求的鉴权参数组合为字典 - v = { - "authorization": authorization, - "date": date, - "host": self.host - } - # 拼接鉴权参数，生成url - url = self.spark_url + '?' + urlencode(v) - # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致 - return url - - -# 收到websocket错误的处理 -def on_error(ws, error): - logger.error("### error:"+error) - - -# 收到websocket关闭的处理 -def on_close(ws,one,two): - logger.error("websocket关闭") - - -# 收到websocket连接建立的处理 -def on_open(ws): - thread.start_new_thread(run, (ws,)) - - -def run(ws, *args): - data = json.dumps(gen_params(appid=ws.appid, domain= ws.domain,question=ws.question)) - ws.send(data) - - -# 收到websocket消息的处理 -def on_message(ws, message): - # print(message) - data = json.loads(message) - code = data['header']['code'] - if code != 0: - logger.error(f'请求错误: {code}, {data}') - ws.close() - else: - choices = data["payload"]["choices"] - status = choices["status"] - content = choices["text"][0]["content"] - print(content,end ="") - global answer - answer += content - # print(1) - if status == 2: - ws.close() - - -def gen_params(appid, domain,question): - """ - 通过appid和用户的提问来生成请参数 - """ - data = { - "header": { - "app_id": appid, - "uid": "1234" - }, - "parameter": { - "chat": { - "domain": domain, - "random_threshold": 0.5, - "max_tokens": 2048, - "auditing": "default" - } - }, - "payload": { - "message": { - "text": question - } - } - } - return data - - -def main(appid, api_key, api_secret, spark_url,domain, question): - # print("星火:") - wsParam = Ws_Param(appid, api_key, api_secret, spark_url) - websocket.enableTrace(False) - wsUrl = wsParam.create_url() - ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open) - ws.appid = appid - ws.question = question - ws.domain = domain - ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) - - diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py index e855e019a..db50771d4 100644 --- a/metagpt/provider/spark_api.py +++ b/metagpt/provider/spark_api.py @@ -5,54 +5,188 @@ @Author : Leo Xiao @File : anthropic_api.py """ - -from typing import Optional -from metagpt.provider import SparkApi +import _thread as thread +import base64 +import datetime +import hashlib +import hmac +import json +import ssl +from collections import OrderedDict +import datetime +from time import mktime +from urllib.parse import urlencode +from urllib.parse import urlparse +from wsgiref.handlers import format_date_time +import websocket # 使用websocket_client +import websockets +from websockets.legacy.server import WebSocketServerProtocol from metagpt.config import CONFIG +from metagpt.logs import logger +from metagpt.provider.base_gpt_api import BaseGPTAPI -def getlength(text): - length = 0 - for content in text: - temp = content["content"] - leng = len(temp) - length += leng - return length -def checklen(text): - while (getlength(text) > 8000): - del text[0] - return text -class Spark: - system_prompt = 'You are a helpful assistant.' - def _user_msg(self, msg: str) -> dict[str, str]: - return {"role": "user", "content": msg} +class SparkAPI(BaseGPTAPI): - def _assistant_msg(self, msg: str) -> dict[str, str]: - return {"role": "assistant", "content": msg} + 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) -> str: + #尚未实现 + pass - def _system_msg(self, msg: str) -> dict[str, str]: - return {"role": "system", "content": msg} + async def acompletion(self, messages: list[dict]): + # 尚未实现 + w = GetMessageFromWeb(messages) + return await w.arun() - def _system_msgs(self, msgs: list[str]) -> list[dict[str, str]]: - return [self._system_msg(msg) for msg in msgs] + def completion(self, messages: list[dict]): + w= GetMessageFromWeb(messages) + return w.run() - def _default_system_msg(self): - return self._system_msg(self.system_prompt) - - def ask(self, msg: str): - message = [self._user_msg(msg)] - SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message) - rsp = SparkApi.answer - return rsp - async def aask(self, msg: str, system_msgs: Optional[list[str]] = None) -> str: - if system_msgs: - message = self._system_msgs(system_msgs) + [self._user_msg(msg)] +class GetMessageFromWeb: + class WsParam(object): + """ + 该类适合讯飞星火大部分接口的调用。 + 输入 app_id, api_key, api_secret, spark_url以初始化， + create_url方法返回接口url + """ + + # 初始化 + def __init__(self, app_id, api_key, api_secret, spark_url, message=None): + self.app_id = app_id + self.api_key = api_key + self.api_secret = api_secret + self.host = urlparse(spark_url).netloc + self.path = urlparse(spark_url).path + self.spark_url = spark_url + self.message = message + + # 生成url + def create_url(self): + # 生成RFC1123格式的时间戳 + now = datetime.datetime.now() + date = format_date_time(mktime(now.timetuple())) + + # 拼接字符串 + signature_origin = "host: " + self.host + "\n" + signature_origin += "date: " + date + "\n" + signature_origin += "GET " + self.path + " HTTP/1.1" + + # 进行hmac-sha256进行加密 + signature_sha = hmac.new(self.api_secret.encode('utf-8'), signature_origin.encode('utf-8'), + digestmod=hashlib.sha256).digest() + + signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8') + + authorization_origin = f'api_key="{self.api_key}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"' + + authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8') + + # 将请求的鉴权参数组合为字典 + v = { + "authorization": authorization, + "date": date, + "host": self.host + } + # 拼接鉴权参数，生成url + url = self.spark_url + '?' + urlencode(v) + # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致 + return url + + def __init__(self,text): + self.text = text + self.ret =None + self.xinghuo_appid = CONFIG.xinghuo_appid + self.xinghuo_api_secret = CONFIG.xinghuo_api_secret + self.xinghuo_api_key = CONFIG.xinghuo_api_key + self.domain = CONFIG.domain + self.spark_url = CONFIG.spark_url + + def on_message(self, ws, message): + logger.info(message) + data = json.loads(message) + code = data['header']['code'] + + if code != 0: + ws.close() # 请求错误，则关闭socket + logger.critical(f'回答获取失败，响应信息反序列化之后为： {data}') + return else: - message = [self._user_msg(msg)] - SparkApi.main(CONFIG.xinghuo_appid,CONFIG.xinghuo_api_key,CONFIG.xinghuo_api_secret,"ws://spark-api.xf-yun.com/v2.1/chat","generalv2",message) - rsp = SparkApi.answer - return rsp + choices = data["payload"]["choices"] + seq = choices["seq"] # 服务端是流式返回，seq为返回的数据序号 + status = choices["status"] # 服务端是流式返回，status用于判断信息是否传送完毕 + content = choices["text"][0]["content"] # 本次接收到的回答文本 + self.ret=data + ws.close() + logger.info(f"本次通讯关闭") + + # 收到websocket错误的处理 + def on_error(self, ws, error): + # on_message方法处理接收到的信息，出现任何错误，都会调用这个方法 + logger.critical(f'通讯连接出错，【错误提示: {error}】') + + # 收到websocket关闭的处理 + def on_close(self, ws, one, two): + pass + # print("通讯完成") + + # 处理请求数据 + def gen_params(self): + + data = { + "header": { + "app_id": self.xinghuo_appid, + "uid": "1234" + }, + "parameter": { + "chat": { + # domain为必传参数 + "domain": self.domain, + + # 以下为可微调，非必传参数 + # 注意：官方建议，temperature和top_k修改一个即可 + "max_tokens": 2048, # 默认2048，模型回答的tokens的最大长度，即允许它输出文本的最长字数 + "temperature": 0.5, # 取值为[0,1],默认为0.5。取值越高随机性越强、发散性越高，即相同的问题得到的不同答案的可能性越高 + "top_k": 4, # 取值为[1，6],默认为4。从k个候选中随机选择一个（非等概率） + } + }, + "payload": { + "message": { + "text": self.text + } + } + } + return data + + def send(self, ws, *args): + data = json.dumps(self.gen_params()) + logger.info(f"开始尝试建立通讯...") + logger.info(f"此次请求的请求头数据为：{data}") + ws.send(data) + + # 收到websocket连接建立的处理 + def on_open(self, ws): + thread.start_new_thread(self.send, (ws,)) + + # 处理收到的 websocket消息，出现任何错误，调用on_error方法 + def run(self): + return self._run(self.text) + def _run(self, text_list): + + ws_param = self.WsParam( + self.xinghuo_appid, + self.xinghuo_api_key, + self.xinghuo_api_secret, + self.spark_url, + text_list) + ws_url = ws_param.create_url() + + websocket.enableTrace(True) # 默认禁用 WebSocket 的跟踪功能 + ws = websocket.WebSocketApp(ws_url, on_message=self.on_message, on_error=self.on_error, on_close=self.on_close, + on_open=self.on_open) + ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) + return self.ret diff --git a/metagpt/reflect_and_retrieve/GA_memory_storage.py b/metagpt/reflect_and_retrieve/GA_memory_storage.py deleted file mode 100644 index c5ca24729..000000000 --- a/metagpt/reflect_and_retrieve/GA_memory_storage.py +++ /dev/null @@ -1,140 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : 对应 GA中 concept node 实现 & AssociativeMemory 实现 -# author: didi -# Date:9.24 - -from run_gpt import run_gpt_prompt_chat_poignancy, run_gpt_random_concept -from gpt_structure import embedding -from retrive import agent_retrive -import time -import json - -# Meomry_basic 类 - - -class Memory_basic: - def __init__( - self, created_time, accessed_time, - description, - poignancy, - embedding_key=None) -> None: - """ - Initializes a basic memory object. - - Args: - created_time (datetime): The time when the memory was created. - accessed_time (datetime): The time when the memory was last accessed. - description (str): The description of the memory. - poignancy (int): The level of emotional intensity associated with the memory. - embedding_key (Optional[str]): The embedding key for the memory (to avoid redundant vectorization). - - Returns: - None - """ - self.created_time = created_time # 记忆创建时间 - self.accessed_time = accessed_time # 记忆上次调用时间 - self.description = description # 记忆描述 - self.poignancy = poignancy # 记忆心酸程度 - if embedding_key is None: # 记忆emmbeding key(避免重复向量化花钱) - self.embedding_key = embedding(self.description) - else: - self.embedding_key = embedding_key - -# Agent Memory 类 - - -class Agent_memory(object): - - def __init__(self, name: str, iss: str, - memory_forget: float = 0.99, - memories_list: list[Memory_basic] = [], memory_path: str = None) -> None: - ''' - 定义Agent,替换原有Agent使用，需要其他人根据需求补全功能。 - Attributes: - name:agent name - iss:agent iss（性格特征） - memory_forget:agent 记忆遗忘速率（计算近因性） - memories_list:agent 记忆JSON文件存储地址 - memory_path:记忆存储地址 - ''' - self.name = name # agent name - self.iss = iss # agent iss（性格特征） - self.memories_list = memories_list # agent 记忆列表 - self.concept_forget = memory_forget # agent 记忆遗忘速率（计算近因性） - self.memory_path = memory_path # agent 记忆JSON文件存储地址 - # agent 当前时间（现在使用的time.time()，等到环境搭好之后使用游戏内时间） - self.curr_time = time.time() - # 若给到memory_path 进行记忆初始化 - if memory_path: - self.memories_list = self.memory_load(memory_path) - - def memory_save(self, PATH: str) -> None: - ''' - 将Memory存储在指定PATH的JSON文件中，命名为"{self.name}'s memory - Args: - PATH:str - Return: - None - ''' - with open(PATH, 'w') as file: - memory_data = [mem.__dict__ for mem in self.memories_list] - json.dump(memory_data, file) - - def memory_load(self, PATH: str) -> list[Memory_basic]: - """ - 将Memory从指定路径的JSON文件中Load出来,返回一个记忆列表;如果load失败，返回一个空列表。 - Args: - PATH:str - Return: - List(Meomry_basic) - """ - try: - with open(PATH, 'r') as file: - memory_data = json.load(file) - self.memories_list = [Memory_basic( - **mem) for mem in memory_data] - return self.memories_list - except OSError: - return [] - - -if __name__ == "__main__": - # 例子，构建John Agent，实现retrive - John_iss = """John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. - He is always looking for ways to make the process of getting medication easier for his customers; - John Lin is living with his wife, Mei Lin, who is a college professor, and son, - Eddy Lin, who is a student studying music theory; John Lin loves his family very much; - John Lin has known the old couple next-door, - Sam Moore and Jennifer Moore, for a few years; - John Lin thinks Sam Moore is a kind and nice man; - John Lin knows his neighbor, Yuriko Yamamoto, well; - John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, - but has not met them before; - John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; - John Lin and Tom Moreno are friends and like to discuss local politics together; - John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno.""" - John = Agent_memory( - "John", John_iss, memory_path="agent_memories/John_memory.json") - - for i in range(3): - memory = run_gpt_random_concept() - curr_time = time.time() - poignancy = run_gpt_prompt_chat_poignancy(John, memory) - M = Memory_basic(curr_time, curr_time, memory, poignancy) - John.memories_list.append(M) - - John.memory_save(John.memory_path) - - for i in range(len(John.memories_list)): - print(f"John记忆为:{John.memories_list[i].description}") - print(f"心酸程度为:{John.memories_list[i].poignancy}") - query = """ - How has John's personal connection with his neighbors, - such as the Moores and Yuriko, influenced his role as a pharmacy shopkeeper? - """ - - Top_v = agent_retrive(John, query, 10, 3) - print(f"John的相关信息：{Top_v}") - - # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} diff --git a/metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt b/metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt deleted file mode 100644 index 572dd8a05..000000000 --- a/metagpt/reflect_and_retrieve/Prompt_template/poignancy_chat_v1.txt +++ /dev/null @@ -1,17 +0,0 @@ -poignancy_chat_v1.txt - -!!: agent name -!!: iss -!!: name -!!: event description - -### -Here is a brief description of !!. -!! - -On the scale of 1 to 10, where 1 is purely mundane (e.g., routine morning greetings) and 10 is extremely poignant (e.g., a conversation about breaking up, a fight), rate the likely poignancy of the following conversation for !!. - -Conversation: -!! - -Rate (return a number between 1 to 10): \ No newline at end of file diff --git a/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/._.DS_Store b/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/._.DS_Store deleted file mode 100644 index a5b28df1cbc6e15bd0d35cdadd0c2e65d5131c7d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 120 zcmZQz6=P>$Vqox1Ojhs@R)|o50+1L3ClDI}u^SMB_!U6R08`;00ODZ-jv*mIP;rnB Iur73U08|YJ=l}o! diff --git a/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/agent_memories/._.DS_Store b/metagpt/reflect_and_retrieve/__MACOSX/GA_memory_stream/agent_memories/._.DS_Store deleted file mode 100644 index a5b28df1cbc6e15bd0d35cdadd0c2e65d5131c7d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 120 zcmZQz6=P>$Vqox1Ojhs@R)|o50+1L3ClDI}u^SMB_!U6R08`;00ODZ-jv*mIP;rnB Iur73U08|YJ=l}o! diff --git a/metagpt/reflect_and_retrieve/agent_memories/John_memory.json b/metagpt/reflect_and_retrieve/agent_memories/John_memory.json deleted file mode 100644 index 959e07940..000000000 --- a/metagpt/reflect_and_retrieve/agent_memories/John_memory.json +++ /dev/null @@ -1 +0,0 @@ -[{"created_time": 1695640634.6113422, "accessed_time": 1695640634.6113422, "description": "Had a friendly chat with Yuriko about her garden.", "poignancy": 3, "embedding_key": [0.00822820607572794, -0.005863511469215155, 0.012651615776121616, 0.008660569787025452, 0.016709178686141968, 0.02378663420677185, -0.00028955869493074715, -0.003728301962837577, -0.02039424516260624, -0.02626108191907406, -0.00543114822357893, -0.023081548511981964, 0.009146146476268768, -0.009931053034961224, 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-*- -# @Desc : 调用GPT -# author: didi -# Date:9.25 - -import openai -openai.api_key = "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" -openai.proxy = 'http://127.0.0.1:7000' -# 直接调用Prompt生成 - - -def response_generate(prompt): - """ - 通过将特殊指令加入Prompt生成最终的响应。 - - 参数： - - prompt：要生成响应的提示文本。 - - special_instruction：要加入Prompt的特殊指令。 - - example_output（可选）：示例输出的JSON字符串。 - - 返回： - 生成的最终响应。 - - """ - completion = openai.Completion.create( - model="gpt-3.5-turbo-instruct", - prompt=prompt, - temperature=0, - max_tokens=500, - top_p=1, - stream=False, - frequency_penalty=0, - presence_penalty=0 - ) - return (completion.choices[0].text) - -# 特殊指令加入Prompt生成 - - -def final_response(prompt, special_instruction, example_output=None): - """ - 通过将特殊指令加入Prompt生成最终的响应。 - - 参数： - - prompt：要生成响应的提示文本。 - - special_instruction：要加入Prompt的特殊指令。 - - example_output（可选）：示例输出的JSON字符串。 - - 返回： - 生成的最终响应。 - - """ - prompt = '"""\n' + prompt + '\n"""\n' - prompt += f"Output the response to the prompt above in json. {special_instruction}\n" - if example_output: - prompt += "Example output json:\n" - prompt += '{"output": "' + str(example_output) + '"}' - return response_generate(prompt) - -# prompt填充模板 - - -def prompt_generate(curr_input, prompt_lib_file): - """ - Takes in the current input (e.g. comment that you want to classifiy) and - the path to a prompt file. The prompt file contains the raw str prompt that - will be used, which contains the following substr: !! -- this - function replaces this substr with the actual curr_input to produce the - final promopt that will be sent to the GPT3 server. - ARGS: - curr_input: the input we want to feed in (IF THERE ARE MORE THAN ONE - INPUT, THIS CAN BE A LIST.) - prompt_lib_file: the path to the promopt file. - RETURNS: - a str prompt that will be sent to OpenAI's GPT server. - """ - if type(curr_input) is type("string"): - curr_input = [curr_input] - curr_input = [str(i) for i in curr_input] - - f = open(prompt_lib_file, "r") - prompt = f.read() - f.close() - for count, i in enumerate(curr_input): - prompt = prompt.replace(f"!!", i) - if "###" in prompt: - prompt = prompt.split( - "###")[1] - return prompt.strip() - -# 使用OpenAI embedding库进行存储 - - -def embedding(query): - """ - Generates an embedding for the given query. - - Args: - query (str): The text query to be embedded. - - Returns: - str: The embedding key generated for the query. - """ - embedding_result = openai.Embedding.create( - model="text-embedding-ada-002", - input=query - ) - embedding_key = embedding_result['data'][0]["embedding"] - return embedding_key diff --git a/metagpt/reflect_and_retrieve/pycodetester.py b/metagpt/reflect_and_retrieve/pycodetester.py deleted file mode 100644 index 30c9abaec..000000000 --- a/metagpt/reflect_and_retrieve/pycodetester.py +++ /dev/null @@ -1,3 +0,0 @@ -import pycodestyle as pcs -checker = pcs.StyleGuide() -checker.input_dir('./') diff --git a/metagpt/reflect_and_retrieve/reflect.py b/metagpt/reflect_and_retrieve/reflect.py deleted file mode 100644 index 1e1bb1352..000000000 --- a/metagpt/reflect_and_retrieve/reflect.py +++ /dev/null @@ -1,84 +0,0 @@ - -import json -from logging import Logger -import time -from gpt_structure import final_response -import run_gpt -from GA_memory_storage import Agent_memory, Memory_basic -from retrive import agent_retrive - - -def agent_reflect(agent): - ''' - agent:agent本身 - ''' - pass - - -def generate_focus_point(memories_list, n=3): - wait_sorted_mem = [[i.accessed_time, i] for i in memories_list] - sorted_memories = sorted(wait_sorted_mem, key=lambda x: x[0]) - memorys = [i for created, i in sorted_memories] - statements = '' - for i in memorys: - statements += i.description + "\n" - prompt = ''' - {statements} - Given only the information above, what are {num_question} most salient high-level questions we can answer about the subjects grounded in the statements? - ''' - example_output = '["What should Jane do for lunch", "Does Jane like strawberry", "Who is Jane"]' - out = final_response(prompt.format(statements=statements, num_question=n), - "Output must be a list of str.", example_output) - try: - poi_dict = json.loads(out) - return (poi_dict['output']) - except ValueError: - print(out) - Logger.error('无法返回正常结果') - return out - - -def generate_insights_and_evidence(agent, memories_list, question, n=5): - agent_retrive(agent, question, 20, 10) - statements = "" - for count, mem in enumerate(memories_list): - statements += f'{str(count)}. {mem.description}\n' - prompt = ''' - Input: - {statements} - - What {n} high-level insights can you infer from the above statements? - You should return a list of list[str,list] . The first element is the insight you have found.The second element is the - ''' - - ret = final_response(prompt.format( - question=question, statements=statements, n=n), "['insightA',[1,2,3]]") - try: - insight_list = json.loads(ret) - for insight, index in insight_list: - agent.memory_list.append(Memory_basic( - time.time(), None, insight, None, None)) - return (insight_list) - except: - Logger.error('我们无法获得想要的返回。') - return ret - - -if __name__ == "__main__": - # 例子，构建John Agent，实现retrive - John_iss = "John Lin is a pharmacy shopkeeper at the Willow Market and Pharmacy who loves to help people. He is always looking for ways to make the process of getting medication easier for his customers; John Lin is living with his wife, Mei Lin, who is a college professor, and son, Eddy Lin, who is a student studying music theory; John Lin loves his family very much; John Lin has known the old couple next-door, Sam Moore and Jennifer Moore, for a few years; John Lin thinks Sam Moore is a kind and nice man; John Lin knows his neighbor, Yuriko Yamamoto, well; John Lin knows of his neighbors, Tamara Taylor and Carmen Ortiz, but has not met them before; John Lin and Tom Moreno are colleagues at The Willows Market and Pharmacy; John Lin and Tom Moreno are friends and like to discuss local politics together; John Lin knows the Moreno family somewhat well — the husband Tom Moreno and the wife Jane Moreno." - John = Agent_memory( - "John", John_iss, memory_path="agent_memories/John_memory.json") - - # John的相关信息：{'Had a friendly chat with Yuriko about her garden.': 2.4992317730827667, 'Helped Mrs. Moore carry groceries into her house.': 1.957656720441911, 'Discussed local politics with Tom Moreno.': 1.9458268038234035} - A = generate_focus_point(John.memories_list) - - for i in A: - B = generate_insights_and_evidence( - John, John.memories_list, question=A[0]) - print(type(B)) - print(B) - ''' - 这里是输出,list形式，返回给记忆。 - [['The pharmacy is a friendly and helpful community.', [0, 2, 9, 12]], ['The pharmacy is a place where people come for more than just medication.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for advice and conversation.', [0, 2, 6, 9, 12]], ['The pharmacy is a place where people come for assistance with daily tasks.', [3, 5, 13, 14]], ['The pharmacy is a place where people come for political discussions.', [1]]] - ''' diff --git a/metagpt/reflect_and_retrieve/retrive.py b/metagpt/reflect_and_retrieve/retrive.py deleted file mode 100644 index 9a75a5c29..000000000 --- a/metagpt/reflect_and_retrieve/retrive.py +++ /dev/null @@ -1,136 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : 实现GA中检索函数 -# author: didi -# Date:9.25 - -from numpy import dot -from numpy.linalg import norm -from gpt_structure import embedding - -# 实现三(2)合一搜索 - - -def agent_retrive(agent, query, n, topk): - # 将记忆列表按照Nodes[i].accessed_time排列，仅取前十个，如果不够10个就取现有的所有 - Nodes = agent.memories_list - sorted_nodes = sorted( - Nodes, key=lambda node: node.accessed_time, reverse=True) - Nodes = sorted_nodes[:n] if len(sorted_nodes) >= n else sorted_nodes - - # 创建一个分数列表 - Score_list = [] - """ - { - "memory":Nodes[i], - "importance":Nodes[i].poignancy - "recency":衰减因子计算结果 - "relevance":搜索结果 - } - """ - Score_list = extract_importance(Nodes, Score_list) - Score_list = extract_recency(Score_list) # 计算近因性函数还没有实现，目前都是1 - Score_list = extract_relevance(Score_list, query) - - Score_list = normalize_Socre_floats(Score_list, 0, 1) - total_dict = {} - gw = [1, 1, 1] # 三个因素的权重,重要性，近因性，相关性 - for i in range(len(Score_list)): - total_score = (Score_list[i]['importance']*gw[0] + - Score_list[i]['recency']*gw[1] + - Score_list[i]['relevance']*gw[2] - ) - total_dict[Score_list[i]['memory'].description] = total_score - - result = top_highest_x_values(total_dict, topk) - - return result - - -def top_highest_x_values(d, x): - top_v = dict(sorted(d.items(), - key=lambda item: item[1], - reverse=True)[:x]) - return top_v -# 抽取重要性 - - -def extract_importance(Nodes, Score_list): - for i in range(len(Nodes)): - Score = {"memory": Nodes[i], - "importance": Nodes[i].poignancy - } - Score_list.append(Score) - return Score_list - -# 抽取相关性 - - -def extract_relevance(Score_list, query): - query_embedding = embedding(query) - # 进行 - for i in range(len(Score_list)): - result = cos_sim( - Score_list[i]["memory"].embedding_key, query_embedding) - Score_list[i]['relevance'] = result - - return Score_list - -# 抽取近因性 - - -def extract_recency(Score_list): - for i in range(len(Score_list)): - Score_list[i]['recency'] = 1 - return Score_list - -# 计算余弦相似度 - - -def cos_sim(a, b): - return dot(a, b)/(norm(a)*norm(b)) - -# 单个列表归一化 - - -def normalize_List_floats(Single_list, target_min, target_max): - min_val = min(Single_list) - max_val = max(Single_list) - range_val = max_val - min_val - - if range_val == 0: - for i in range(len(Single_list)): - Single_list[i] = (target_max - target_min)/2 - else: - for i in range(len(Single_list)): - Single_list[i] = ((Single_list[i] - min_val) * (target_max - target_min) - / range_val + target_min) - return Single_list - -# 整体归一化 - - -def normalize_Socre_floats(Score_list, target_min, target_max): - - importance_list = [] - relevance_list = [] - recency_list = [] - - for i in range(len(Score_list)): - importance_list.append(Score_list[i]['importance']) - relevance_list.append(Score_list[i]['relevance']) - recency_list.append(Score_list[i]['recency']) - - # 进行归一化操作 - importance_list = normalize_List_floats( - importance_list, target_min, target_max) - relevance_list = normalize_List_floats( - relevance_list, target_min, target_max) - recency_list = normalize_List_floats(recency_list, target_min, target_max) - - for i in range(len(Score_list)): - Score_list[i]['importance'] = importance_list[i] - Score_list[i]['relevance'] = relevance_list[i] - Score_list[i]['recency'] = recency_list[i] - - return Score_list diff --git a/metagpt/reflect_and_retrieve/run_gpt.py b/metagpt/reflect_and_retrieve/run_gpt.py deleted file mode 100644 index 71d2a7a3d..000000000 --- a/metagpt/reflect_and_retrieve/run_gpt.py +++ /dev/null @@ -1,62 +0,0 @@ -#!/usr/bin/env python -# -*- coding: utf-8 -*- -# @Desc : 调用PROMPT -# author: didi -# Date:9.25 - -import random -import json -from gpt_structure import final_response, prompt_generate - -# 使用GPT衡量心酸程度 - - -def run_gpt_prompt_chat_poignancy(agent, event_description): - """ - 使用GA中的run GPT构造，具体的代码可以参考昨天GPT的内容 - https://chat.openai.com/c/afddac31-300e-427b-9947-4b3ca16bd3a1 - 其中输入的ISS是identity stable set - """ - def create_prompt_input(agent, event_description): - prompt_input = [agent.name, - agent.iss, - agent.name, - event_description] - return prompt_input - - # 1. Prompt构建 - # 2. Instruction给出 - prompt_template = "Prompt_template/poignancy_chat_v1.txt" - prompt_input = create_prompt_input(agent, event_description) - prompt = prompt_generate(prompt_input, prompt_template) - special_instruction = "The output should ONLY contain ONE integer value on the scale of 1 to 10." - poignancy = final_response(prompt, special_instruction) - try: - poi_dict = json.loads(poignancy) - return (poi_dict['poignancy']) - except: - return poignancy - -# 返回John随机记忆 - - -def run_gpt_random_concept(): - random_memories = [ - "Helped Mrs. Moore carry groceries into her house.", - "Had a friendly chat with Yuriko about her garden.", - "Met Tom Moreno for coffee during our lunch break.", - "Talked to Mei about their upcoming vacation plans.", - "Eddy played his new music composition for me.", - "Helped a customer find a specific medication.", - "John divorced his wife because he was in love with someone else", - "Helped Mrs. Moore carry groceries into her house.", - "Had a friendly chat with Yuriko about her garden.", - "Met Tom Moreno for coffee during our lunch break.", - "Talked to Mei about their upcoming vacation plans.", - "Eddy played his new music composition for me.", - "Helped a customer find a specific medication.", - "Wished Carmen a good day as she passed by the pharmacy.", - "Discussed local politics with Tom Moreno.", - "Gave gardening tips to Mrs. Yamamoto.", - "Saw Jane Moreno jogging in the morning."] - return (random.choice(random_memories)) diff --git a/metagpt/roles/role.py b/metagpt/roles/role.py index 52cc693a0..44bb3e976 100644 --- a/metagpt/roles/role.py +++ b/metagpt/roles/role.py @@ -14,7 +14,7 @@ from pydantic import BaseModel, Field # from metagpt.environment import Environment from metagpt.config import CONFIG from metagpt.actions import Action, ActionOutput -from metagpt import llm as LLM +from metagpt.llm import LLM from metagpt.logs import logger from metagpt.memory import Memory, LongTermMemory from metagpt.schema import Message @@ -94,7 +94,7 @@ class Role: """Role/Agent""" def __init__(self, name="", profile="", goal="", constraints="", desc=""): - self._llm=LLM.DEFAULT_LLM + self._llm = LLM() self._setting = RoleSetting(name=name, profile=profile, goal=goal, constraints=constraints, desc=desc) self._states = [] self._actions = [] @@ -185,7 +185,7 @@ class Role: observed = self._rc.env.memory.get_by_actions(self._rc.watch) - self._rc.news = self._rc.memory.remember(observed) # remember recent exact or similar memories + self._rc.news = self._rc.memory.find_news(observed) # find news (previously unseen messages) from observed messages for i in env_msgs: self.recv(i) diff --git a/metagpt/schema.py b/metagpt/schema.py index 27f5dd10c..bdca093c2 100644 --- a/metagpt/schema.py +++ b/metagpt/schema.py @@ -29,6 +29,7 @@ class Message: cause_by: Type["Action"] = field(default="") sent_from: str = field(default="") send_to: str = field(default="") + restricted_to: str = field(default="") def __str__(self): # prefix = '-'.join([self.role, str(self.cause_by)]) diff --git a/metagpt/tools/moderation.py b/metagpt/tools/moderation.py new file mode 100644 index 000000000..c56a6afc4 --- /dev/null +++ b/metagpt/tools/moderation.py @@ -0,0 +1,40 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2023/9/26 14:27 +@Author : zhanglei +@File : moderation.py +""" +from typing import Union + +from metagpt.llm import LLM + + +class Moderation: + def __init__(self): + self.llm = LLM() + + def moderation(self, content: Union[str, list[str]]): + resp = [] + if content: + moderation_results = self.llm.moderation(content=content) + results = moderation_results.results + for item in results: + resp.append(item.flagged) + + return resp + + async def amoderation(self, content: Union[str, list[str]]): + resp = [] + if content: + moderation_results = await self.llm.amoderation(content=content) + results = moderation_results.results + for item in results: + resp.append(item.flagged) + + return resp + + +if __name__ == "__main__": + moderation = Moderation() + print(moderation.moderation(content=["I will kill you", "The weather is really nice today", "I want to hit you"])) diff --git a/metagpt/utils/common.py b/metagpt/utils/common.py index 65cc15e82..59d179808 100644 --- a/metagpt/utils/common.py +++ b/metagpt/utils/common.py @@ -180,7 +180,7 @@ class OutputParser: if start_index != -1 and end_index != -1: # Extract the structure part - structure_text = text[start_index:end_index + 1] + structure_text = text[start_index : end_index + 1] try: # Attempt to convert the text to a Python data type using ast.literal_eval @@ -237,7 +237,7 @@ class CodeParser: logger.error(f"{pattern} not match following text:") logger.error(text) # raise Exception - return "" + return text # just assume original text is code return code @classmethod diff --git a/metagpt/utils/serialize.py b/metagpt/utils/serialize.py index ffafca8cd..124176fcb 100644 --- a/metagpt/utils/serialize.py +++ b/metagpt/utils/serialize.py @@ -4,7 +4,7 @@ import copy import pickle -from typing import Dict, List, Tuple +from typing import Dict, List from metagpt.actions.action_output import ActionOutput from metagpt.schema import Message @@ -37,8 +37,8 @@ def actionoutout_schema_to_mapping(schema: Dict) -> Dict: elif property["type"] == "array" and property["items"]["type"] == "string": mapping[field] = (List[str], ...) elif property["type"] == "array" and property["items"]["type"] == "array": - # here only consider the `Tuple[str, str]` situation - mapping[field] = (List[Tuple[str, str]], ...) + # here only consider the `List[List[str]]` situation + mapping[field] = (List[List[str]], ...) return mapping diff --git a/requirements.txt b/requirements.txt index c2616a08a..de861ded9 100644 --- a/requirements.txt +++ b/requirements.txt @@ -34,7 +34,7 @@ tqdm==4.64.0 # selenium>4 # webdriver_manager<3.9 anthropic==0.3.6 -typing-inspect +typing-inspect==0.8.0 typing_extensions==4.5.0 libcst==1.0.1 qdrant-client==1.4.0 diff --git a/tests/metagpt/actions/test_write_code.py b/tests/metagpt/actions/test_write_code.py index 00d2c504e..7bb18ddf2 100644 --- a/tests/metagpt/actions/test_write_code.py +++ b/tests/metagpt/actions/test_write_code.py @@ -8,7 +8,7 @@ import pytest from metagpt.actions.write_code import WriteCode -import metagpt.llm as LLM +from metagpt.llm import LLM from metagpt.logs import logger from tests.metagpt.actions.mock import TASKS_2, WRITE_CODE_PROMPT_SAMPLE @@ -29,6 +29,6 @@ async def test_write_code(): @pytest.mark.asyncio async def test_write_code_directly(): prompt = WRITE_CODE_PROMPT_SAMPLE + '\n' + TASKS_2[0] - llm=LLM.DEFAULT_LLM + llm = LLM() rsp = await llm.aask(prompt) logger.info(rsp) diff --git a/tests/metagpt/memory/test_longterm_memory.py b/tests/metagpt/memory/test_longterm_memory.py index 62a3a2361..dc5540520 100644 --- a/tests/metagpt/memory/test_longterm_memory.py +++ b/tests/metagpt/memory/test_longterm_memory.py @@ -21,35 +21,35 @@ def test_ltm_search(): idea = 'Write a cli snake game' message = Message(role='BOSS', content=idea, cause_by=BossRequirement) - news = ltm.remember([message]) + news = ltm.find_news([message]) assert len(news) == 1 ltm.add(message) sim_idea = 'Write a game of cli snake' sim_message = Message(role='BOSS', content=sim_idea, cause_by=BossRequirement) - news = ltm.remember([sim_message]) + news = ltm.find_news([sim_message]) assert len(news) == 0 ltm.add(sim_message) new_idea = 'Write a 2048 web game' new_message = Message(role='BOSS', content=new_idea, cause_by=BossRequirement) - news = ltm.remember([new_message]) + news = 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.remember([message]) + news = ltm_new.find_news([message]) assert len(news) == 0 ltm_new.recover_memory(role_id, rc) - news = ltm_new.remember([sim_message]) + news = ltm_new.find_news([sim_message]) assert len(news) == 0 new_idea = 'Write a Battle City' new_message = Message(role='BOSS', content=new_idea, cause_by=BossRequirement) - news = ltm_new.remember([new_message]) + news = ltm_new.find_news([new_message]) assert len(news) == 1 ltm_new.clear() diff --git a/tests/metagpt/provider/test_xinghuo_api.py b/tests/metagpt/provider/test_xinghuo_api.py new file mode 100644 index 000000000..74e13413c --- /dev/null +++ b/tests/metagpt/provider/test_xinghuo_api.py @@ -0,0 +1,4 @@ +from metagpt.provider.spark_api import SparkAPI +def test_message(): + llm=SparkAPI() + llm.ask('只回答"收到了"这三个字。') \ No newline at end of file diff --git a/tests/metagpt/roles/mock.py b/tests/metagpt/roles/mock.py index 9567be603..52fc4a3c1 100644 --- a/tests/metagpt/roles/mock.py +++ b/tests/metagpt/roles/mock.py @@ -16,7 +16,7 @@ DETAIL_REQUIREMENT = """需求：开发一个基于LLM（大语言模型）与 3. 私有知识库支持pdf、word、txt等各种文件格式上传，上传后可以在服务端解析为文本，存储ES 资源： -1. 大语言模型已经有前置的抽象、部署，可以通过 `import metagpt.llm as LLM`，再使用`LLM().ask(prompt)`直接调用 +1. 大语言模型已经有前置的抽象、部署，可以通过 `from metagpt.llm import LLM`，再使用`LLM().ask(prompt)`直接调用 2. Elastic已有[部署](http://192.168.50.82:9200/)，代码可以直接使用这个部署""" diff --git a/tests/metagpt/test_llm.py b/tests/metagpt/test_llm.py index 1986f3f22..11503af1d 100644 --- a/tests/metagpt/test_llm.py +++ b/tests/metagpt/test_llm.py @@ -8,7 +8,7 @@ import pytest -import metagpt.llm as LLM +from metagpt.llm import LLM @pytest.fixture() diff --git a/tests/metagpt/tools/test_moderation.py b/tests/metagpt/tools/test_moderation.py new file mode 100644 index 000000000..225acff75 --- /dev/null +++ b/tests/metagpt/tools/test_moderation.py @@ -0,0 +1,42 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2023/9/26 14:46 +@Author : zhanglei +@File : test_translate.py +""" + +import pytest + +from metagpt.tools.moderation import Moderation + + +@pytest.mark.parametrize( + ("content",), + [ + [ + ["I will kill you", "The weather is really nice today", "I want to hit you"], + ] + ], +) +def test_moderation(content): + moderation = Moderation() + results = moderation.moderation(content=content) + assert isinstance(results, list) + assert len(results) == len(content) + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + ("content",), + [ + [ + ["I will kill you", "The weather is really nice today", "I want to hit you"], + ] + ], +) +async def test_amoderation(content): + moderation = Moderation() + results = await moderation.amoderation(content=content) + assert isinstance(results, list) + assert len(results) == len(content) diff --git a/webui.py b/webui.py deleted file mode 100644 index e69de29bb..000000000 From 9af9461b4f7b4a1a41e1c93ad448dea81d354003 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 19:40:41 +0800 Subject: [PATCH 20/30] =?UTF-8?q?=E6=96=B0=E4=BF=AE=E6=94=B9=E3=80=82?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .devcontainer/README.md | 42 +- .devcontainer/devcontainer.json | 40 +- .devcontainer/docker-compose.yaml | 4 +- .pre-commit-config.yaml | 10 +- README.md | 129 ++- config/config.yaml | 10 +- config/puppeteer-config.json | 8 +- docs/FAQ-EN.md | 225 ++-- docs/README_CN.md | 22 +- docs/README_JA.md | 28 +- docs/ROADMAP.md | 109 +- .../resources/competitive_analysis.svg | 129 ++- .../resources/data_api_design.svg | 1021 ++++++++++++++++- .../content_rec_sys/resources/seq_flow.svg | 343 +++++- .../resources/competitive_analysis.svg | 129 ++- .../resources/data_api_design.svg | 632 +++++++++- .../llmops_framework/resources/seq_flow.svg | 324 +++++- .../resources/competitive_analysis.svg | 129 ++- .../resources/data_api_design.svg | 948 ++++++++++++++- .../match3_puzzle_game/resources/seq_flow.svg | 426 ++++++- .../resources/competitive_analysis.svg | 117 +- .../resources/data_api_design.svg | 204 +++- .../resources/seq_flow.svg | 220 +++- .../resources/competitive_analysis.svg | 129 ++- .../pyrogue/resources/data_api_design.svg | 748 +++++++++++- .../workspace/pyrogue/resources/seq_flow.svg | 355 +++++- .../resources/competitive_analysis.svg | 129 ++- .../resources/data_api_design.svg | 516 ++++++++- .../resources/seq_flow.svg | 322 +++++- examples/agent_creator.py | 22 +- examples/build_customized_agent.py | 30 +- examples/debate.py | 28 +- examples/search_with_specific_engine.py | 5 +- examples/sk_agent.py | 1 - examples/use_off_the_shelf_agent.py | 4 +- examples/write_tutorial.py | 1 - metagpt/_compat.py | 2 + metagpt/actions/action.py | 12 +- metagpt/actions/action_output.py | 1 - metagpt/actions/add_requirement.py | 1 + metagpt/actions/clone_function.py | 2 +- metagpt/actions/debug_error.py | 10 +- metagpt/actions/design_api_review.py | 1 - metagpt/actions/design_filenames.py | 1 - metagpt/actions/detail_mining.py | 2 +- metagpt/actions/prepare_interview.py | 2 +- metagpt/actions/research.py | 61 +- metagpt/actions/run_code.py | 2 +- metagpt/actions/search_and_summarize.py | 2 - metagpt/actions/write_code.py | 4 +- metagpt/actions/write_code_review.py | 4 +- metagpt/actions/write_docstring.py | 8 +- metagpt/actions/write_prd_review.py | 1 - metagpt/actions/write_tutorial.py | 1 - metagpt/config.py | 4 +- metagpt/const.py | 6 +- metagpt/document_store/base_store.py | 1 - metagpt/document_store/chromadb_store.py | 1 + metagpt/document_store/document.py | 1 - metagpt/document_store/qdrant_store.py | 22 +- metagpt/inspect_module.py | 2 +- metagpt/llm.py | 1 + metagpt/logs.py | 2 + metagpt/manager.py | 2 +- metagpt/memory/__init__.py | 3 +- metagpt/memory/longterm_memory.py | 1 - metagpt/memory/memory.py | 1 - metagpt/memory/memory_storage.py | 5 +- metagpt/prompts/decompose.py | 1 - metagpt/prompts/generate_skill.md | 5 +- metagpt/prompts/sales.py | 17 +- metagpt/prompts/summarize.py | 4 - metagpt/prompts/tutorial_assistant.py | 2 +- metagpt/prompts/use_lib_sop.py | 1 - metagpt/provider/__init__.py | 1 - metagpt/provider/anthropic_api.py | 1 - metagpt/provider/base_chatbot.py | 1 - metagpt/provider/base_gpt_api.py | 1 - metagpt/provider/openai_api.py | 7 +- metagpt/provider/spark_api.py | 57 +- metagpt/roles/__init__.py | 15 +- metagpt/roles/architect.py | 10 +- metagpt/roles/customer_service.py | 1 - metagpt/roles/engineer.py | 14 +- metagpt/roles/product_manager.py | 10 +- metagpt/roles/project_manager.py | 10 +- metagpt/roles/prompt.py | 1 + metagpt/roles/qa_engineer.py | 12 +- metagpt/roles/researcher.py | 16 +- metagpt/roles/role.py | 9 +- metagpt/roles/sales.py | 1 - metagpt/roles/seacher.py | 14 +- metagpt/roles/sk_agent.py | 12 +- metagpt/roles/tutorial_assistant.py | 12 +- metagpt/schema.py | 3 + .../skills/WriterSkill/Brainstorm/config.json | 4 +- metagpt/software_company.py | 1 - metagpt/tools/__init__.py | 1 - metagpt/tools/code_interpreter.py | 14 +- metagpt/tools/prompt_writer.py | 1 + metagpt/tools/sd_engine.py | 16 +- metagpt/tools/search_engine.py | 20 +- metagpt/tools/search_engine_ddg.py | 36 +- metagpt/tools/search_engine_googleapi.py | 10 +- metagpt/tools/translator.py | 2 +- metagpt/tools/web_browser_engine.py | 8 +- .../tools/web_browser_engine_playwright.py | 11 +- metagpt/tools/web_browser_engine_selenium.py | 14 +- metagpt/utils/__init__.py | 1 - metagpt/utils/common.py | 6 +- metagpt/utils/custom_decoder.py | 42 +- metagpt/utils/file.py | 4 +- metagpt/utils/highlight.py | 2 +- metagpt/utils/mermaid.py | 1 - metagpt/utils/mmdc_ink.py | 4 +- metagpt/utils/mmdc_playwright.py | 18 +- metagpt/utils/mmdc_pyppeteer.py | 29 +- metagpt/utils/parse_html.py | 4 +- metagpt/utils/pycst.py | 15 +- metagpt/utils/read_document.py | 1 + metagpt/utils/singleton.py | 1 - metagpt/utils/special_tokens.py | 2 +- metagpt/utils/text.py | 19 +- metagpt/utils/token_counter.py | 1 - requirements.txt | 1 + startup.py | 24 +- tests/conftest.py | 4 +- tests/metagpt/actions/mock.py | 3 - tests/metagpt/actions/test_clone_function.py | 6 +- tests/metagpt/actions/test_debug_error.py | 6 +- tests/metagpt/actions/test_detail_mining.py | 4 +- tests/metagpt/actions/test_ui_design.py | 10 +- .../metagpt/actions/test_write_code_review.py | 1 - .../document_store/test_chromadb_store.py | 4 +- .../document_store/test_lancedb_store.py | 19 +- tests/metagpt/memory/test_longterm_memory.py | 6 +- tests/metagpt/memory/test_memory_storage.py | 8 +- tests/metagpt/provider/test_xinghuo_api.py | 9 +- tests/metagpt/roles/mock.py | 51 +- tests/metagpt/roles/test_engineer.py | 2 +- tests/metagpt/roles/test_researcher.py | 2 +- .../metagpt/roles/test_tutorial_assistant.py | 2 +- tests/metagpt/roles/test_ui.py | 3 +- tests/metagpt/roles/ui_role.py | 12 +- tests/metagpt/test_environment.py | 3 +- tests/metagpt/tools/test_code_interpreter.py | 5 +- tests/metagpt/tools/test_search_engine.py | 5 +- tests/metagpt/utils/test_custom_decoder.py | 1 - tests/metagpt/utils/test_file.py | 1 - tests/metagpt/utils/test_output_parser.py | 51 +- tests/metagpt/utils/test_parse_html.py | 6 +- tests/metagpt/utils/test_pycst.py | 1 - 152 files changed, 7692 insertions(+), 792 deletions(-) diff --git a/.devcontainer/README.md b/.devcontainer/README.md index dd088aab1..5af5bfc90 100644 --- a/.devcontainer/README.md +++ b/.devcontainer/README.md @@ -1,39 +1,53 @@ # Dev container -This project includes a [dev container](https://containers.dev/), which lets you use a container as a full-featured dev environment. +This project includes a [dev container](https://containers.dev/), which lets you use a container as a full-featured dev +environment. -You can use the dev container configuration in this folder to build and start running MetaGPT locally! For more, refer to the main README under the home directory. -You can use it in [GitHub Codespaces](https://github.com/features/codespaces) or the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). +You can use the dev container configuration in this folder to build and start running MetaGPT locally! For more, refer +to the main README under the home directory. +You can use it in [GitHub Codespaces](https://github.com/features/codespaces) or +the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). ## GitHub Codespaces + Open in GitHub Codespaces You may use the button above to open this repo in a Codespace -For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace). - +For more info, check out +the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace). + ## VS Code Dev Containers + Open in Dev Containers -Note: If you click this link you will open the main repo and not your local cloned repo, you can use this link and replace with your username and cloned repo name: +Note: If you click this link you will open the main repo and not your local cloned repo, you can use this link and +replace with your username and cloned repo name: https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT - -If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use. +If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code +to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin +up a dev container for use. You can also follow these steps to open this repo in a container using the VS Code Dev Containers extension: -1. If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started). +1. If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have + Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started). 2. Open a locally cloned copy of the code: - - Fork and Clone this repository to your local filesystem. - - Press F1 and select the **Dev Containers: Open Folder in Container...** command. - - Select the cloned copy of this folder, wait for the container to start, and try things out! + - Fork and Clone this repository to your local filesystem. + - Press F1 and select the **Dev Containers: Open Folder in Container...** command. + - Select the cloned copy of this folder, wait for the container to start, and try things out! You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers). ## Tips and tricks -* If you are working with the same repository folder in a container and Windows, you'll want consistent line endings (otherwise you may see hundreds of changes in the SCM view). The `.gitattributes` file in the root of this repo will disable line ending conversion and should prevent this. See [tips and tricks](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files) for more info. -* If you'd like to review the contents of the image used in this dev container, you can check it out in the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repo. +* If you are working with the same repository folder in a container and Windows, you'll want consistent line endings ( + otherwise you may see hundreds of changes in the SCM view). The `.gitattributes` file in the root of this repo will + disable line ending conversion and should prevent this. + See [tips and tricks](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files) + for more info. +* If you'd like to review the contents of the image used in this dev container, you can check it out in + the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repo. diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index a774d0ed1..6ad3b598d 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,27 +1,25 @@ // For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { - "name": "Python 3", - // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile - "image": "mcr.microsoft.com/devcontainers/python:0-3.11", + "name": "Python 3", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "image": "mcr.microsoft.com/devcontainers/python:0-3.11", + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, - // Features to add to the dev container. More info: https://containers.dev/features. - // "features": {}, + // Configure tool-specific properties. + "customizations": { + // Configure properties specific to VS Code. + "vscode": { + "settings": {}, + "extensions": [ + "streetsidesoftware.code-spell-checker" + ] + } + }, + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "./.devcontainer/postCreateCommand.sh" - // Configure tool-specific properties. - "customizations": { - // Configure properties specific to VS Code. - "vscode": { - "settings": {}, - "extensions": [ - "streetsidesoftware.code-spell-checker" - ] - } - }, - - // Use 'postCreateCommand' to run commands after the container is created. - "postCreateCommand": "./.devcontainer/postCreateCommand.sh" - - // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. - // "remoteUser": "root" + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" } diff --git a/.devcontainer/docker-compose.yaml b/.devcontainer/docker-compose.yaml index a9988b1f3..2f0116bf8 100644 --- a/.devcontainer/docker-compose.yaml +++ b/.devcontainer/docker-compose.yaml @@ -5,10 +5,10 @@ services: dockerfile: Dockerfile context: .. volumes: - # Update this to wherever you want VS Code to mount the folder of your project + # Update this to wherever you want VS Code to mount the folder of your project - ..:/workspaces:cached networks: - - metagpt-network + - metagpt-network # environment: # MONGO_ROOT_USERNAME: root # MONGO_ROOT_PASSWORD: example123 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index b1892a709..db11ddbb5 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -8,11 +8,11 @@ repos: rev: 5.11.5 hooks: - id: isort - args: ['--profile', 'black'] + args: [ '--profile', 'black' ] exclude: >- - (?x)^( - .*__init__\.py$ - ) + (?x)^( + .*__init__\.py$ + ) - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. @@ -24,4 +24,4 @@ repos: rev: 23.3.0 hooks: - id: black - args: ['--line-length', '120'] \ No newline at end of file + args: [ '--line-length', '120' ] \ No newline at end of file diff --git a/README.md b/README.md index c326190b0..19869a34f 100644 --- a/README.md +++ b/README.md @@ -25,9 +25,11 @@ # MetaGPT: The Multi-Agent Framework Hugging Face

-1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements / data structures / APIs / documents, etc.** -2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire process of a **software company along with carefully orchestrated SOPs.** - 1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs. +1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements / + data structures / APIs / documents, etc.** +2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire + process of a **software company along with carefully orchestrated SOPs.** + 1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs. ![A software company consists of LLM-based roles](docs/resources/software_company_cd.jpeg) @@ -35,21 +37,17 @@ # MetaGPT: The Multi-Agent Framework ## MetaGPT's Abilities - https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419 - - ## Examples (fully generated by GPT-4) -For example, if you type `python startup.py "Design a RecSys like Toutiao"`, you would get many outputs, one of them is data & api design +For example, if you type `python startup.py "Design a RecSys like Toutiao"`, you would get many outputs, one of them is +data & api design ![Jinri Toutiao Recsys Data & API Design](docs/resources/workspace/content_rec_sys/resources/data_api_design.png) -It costs approximately **$0.2** (in GPT-4 API fees) to generate one example with analysis and design, and around **$2.0** for a full project. - - - +It costs approximately **$0.2** (in GPT-4 API fees) to generate one example with analysis and design, and around **$2.0 +** for a full project. ## Installation @@ -75,10 +73,12 @@ # Step 3: Clone the repository to your local machine, and install it. **Note:** -- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment variable +- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment + variable `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` to `true`. -- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. Installing it locally is an alternative solution, +- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. + Installing it locally is an alternative solution, ```bash npm install @mermaid-js/mermaid-cli @@ -91,72 +91,75 @@ # Step 3: Clone the repository to your local machine, and install it. MMDC: "./node_modules/.bin/mmdc" ``` -- if `pip install -e.` fails with error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, try instead running `pip install -e. --user` +- if `pip install -e.` fails with + error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, + try instead running `pip install -e. --user` -- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task. +- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now + have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task. - - Playwright - - **Install Playwright** + - Playwright + - **Install Playwright** - ```bash - pip install playwright - ``` + ```bash + pip install playwright + ``` - - **Install the Required Browsers** + - **Install the Required Browsers** - to support PDF conversion, please install Chrominum. + to support PDF conversion, please install Chrominum. - ```bash - playwright install --with-deps chromium - ``` + ```bash + playwright install --with-deps chromium + ``` - - **modify `config.yaml`** + - **modify `config.yaml`** - uncomment MERMAID_ENGINE from config.yaml and change it to `playwright` + uncomment MERMAID_ENGINE from config.yaml and change it to `playwright` - ```yaml - MERMAID_ENGINE: playwright - ``` + ```yaml + MERMAID_ENGINE: playwright + ``` - - pyppeteer - - **Install pyppeteer** + - pyppeteer + - **Install pyppeteer** - ```bash - pip install pyppeteer - ``` + ```bash + pip install pyppeteer + ``` - - **Use your own Browsers** + - **Use your own Browsers** - pyppeteer alow you use installed browsers, please set the following envirment - - ```bash - export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome - ``` + pyppeteer alow you use installed browsers, please set the following envirment - please do not use this command to install browser, it is too old + ```bash + export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome + ``` - ```bash - pyppeteer-install - ``` + please do not use this command to install browser, it is too old - - **modify `config.yaml`** + ```bash + pyppeteer-install + ``` - uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer` + - **modify `config.yaml`** - ```yaml - MERMAID_ENGINE: pyppeteer - ``` + uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer` - - mermaid.ink - - **modify `config.yaml`** + ```yaml + MERMAID_ENGINE: pyppeteer + ``` - uncomment MERMAID_ENGINE from config.yaml and change it to `ink` + - mermaid.ink + - **modify `config.yaml`** - ```yaml - MERMAID_ENGINE: ink - ``` + uncomment MERMAID_ENGINE from config.yaml and change it to `ink` - Note: this method does not support pdf export. + ```yaml + MERMAID_ENGINE: ink + ``` + + Note: this method does not support pdf export. ### Installation by Docker @@ -212,7 +215,7 @@ # Copy the configuration file and make the necessary modifications. ``` | Variable Name | config/key.yaml | env | -| ------------------------------------------ | ----------------------------------------- | ----------------------------------------------- | +|--------------------------------------------|-------------------------------------------|-------------------------------------------------| | OPENAI_API_KEY # Replace with your own key | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | | OPENAI_API_BASE # Optional | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | @@ -286,11 +289,13 @@ ### Code walkthrough ## QuickStart -It is difficult to install and configure the local environment for some users. The following tutorials will allow you to quickly experience the charm of MetaGPT. +It is difficult to install and configure the local environment for some users. The following tutorials will allow you to +quickly experience the charm of MetaGPT. - [MetaGPT quickstart](https://deepwisdom.feishu.cn/wiki/CyY9wdJc4iNqArku3Lncl4v8n2b) Try it on Huggingface Space + - https://huggingface.co/spaces/deepwisdom/MetaGPT ## Citation @@ -310,10 +315,12 @@ ## Citation ## Contact Information -If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions! +If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your +suggestions! - **Email:** alexanderwu@fuzhi.ai -- **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https://github.com/geekan/metagpt/issues). +- **GitHub Issues:** For more technical inquiries, you can also create a new issue in + our [GitHub repository](https://github.com/geekan/metagpt/issues). We will respond to all questions within 2-3 business days. diff --git a/config/config.yaml b/config/config.yaml index de6254898..583f25433 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -22,11 +22,11 @@ RPM: 10 #DOMAIN : "generalv2" #SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" -XINGHUO_APPID : "ae5e30f4" -XINGHUO_API_SECRET : "MDhlOWE2NmFhOWMxZWRkOTdlYjY2Njk1" -XINGHUO_API_KEY : "97b635fe5927d34a857333e11d15f29f" -DOMAIN : "generalv2" -SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" +XINGHUO_APPID: "ae5e30f4" +XINGHUO_API_SECRET: "MDhlOWE2NmFhOWMxZWRkOTdlYjY2Njk1" +XINGHUO_API_KEY: "97b635fe5927d34a857333e11d15f29f" +DOMAIN: "generalv2" +SPARK_URL: "ws://spark-api.xf-yun.com/v2.1/chat" #### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb #### You can use ENGINE or DEPLOYMENT mode diff --git a/config/puppeteer-config.json b/config/puppeteer-config.json index 7b2851c29..da5d808d9 100644 --- a/config/puppeteer-config.json +++ b/config/puppeteer-config.json @@ -1,6 +1,6 @@ { - "executablePath": "/usr/bin/chromium", - "args": [ - "--no-sandbox" - ] + "executablePath": "/usr/bin/chromium", + "args": [ + "--no-sandbox" + ] } \ No newline at end of file diff --git a/docs/FAQ-EN.md b/docs/FAQ-EN.md index 4c86ed150..fdd5d846b 100644 --- a/docs/FAQ-EN.md +++ b/docs/FAQ-EN.md @@ -1,4 +1,5 @@ -Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) and [reduce working hours](https://github.com/geekan/MetaGPT/). +Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) +and [reduce working hours](https://github.com/geekan/MetaGPT/). 1. ### Convenient Link for Sharing this Document: @@ -10,30 +11,36 @@ -1. Code：https://github.com/geekan/MetaGPT +1. Code：https://github.com/geekan/MetaGPT -1. Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md +1. Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md -1. EN +1. EN - 1. Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M) - 2. Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s) + 1. Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M) + 2. + Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s) 3. Author's thoughts video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak) -1. CN +1. CN + + 1. Demo + Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77) + 1. + Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c) + 2. Author's thoughts video( + CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click) - 1. Demo Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77) - 1. Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c) - 2. Author's thoughts video(CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click) - 3. ### How to become a contributor? -1. Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join the dev team. -1. Current contributors come from backgrounds including: ByteDance AI Lab/DingDong/Didi/Xiaohongshu, Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB +1. Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join + the dev team. +1. Current contributors come from backgrounds including: ByteDance AI Lab/DingDong/Didi/Xiaohongshu, + Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB @@ -41,11 +48,13 @@ MetaGPT Community - The position of Chief Evangelist rotates on a monthly basis. The primary responsibilities include: -1. Maintaining community FAQ documents, announcements, Github resources/READMEs. -1. Responding to, answering, and distributing community questions within an average of 30 minutes, including on platforms like Github Issues, Discord and WeChat. -1. Upholding a community atmosphere that is enthusiastic, genuine, and friendly. -1. Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI (Artificial General Intelligence). -1. (Optional) Organizing small-scale events, such as hackathons. +1. Maintaining community FAQ documents, announcements, Github resources/READMEs. +1. Responding to, answering, and distributing community questions within an average of 30 minutes, including on + platforms like Github Issues, Discord and WeChat. +1. Upholding a community atmosphere that is enthusiastic, genuine, and friendly. +1. Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI ( + Artificial General Intelligence). +1. (Optional) Organizing small-scale events, such as hackathons. @@ -53,131 +62,165 @@ -1. Experience with the generated repo code: +1. Experience with the generated repo code: - 1. https://github.com/geekan/MetaGPT/releases/tag/v0.1.0 + 1. https://github.com/geekan/MetaGPT/releases/tag/v0.1.0 -1. Code truncation/ Parsing failure: +1. Code truncation/ Parsing failure: - 1. Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions. + 1. Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions. -1. Success rate: +1. Success rate: - 1. There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly higher than that of gpt-3.5-turbo. + 1. There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly + higher than that of gpt-3.5-turbo. -1. Support for incremental, differential updates (if you wish to continue a half-done task): +1. Support for incremental, differential updates (if you wish to continue a half-done task): - 1. Several prerequisite tasks are listed on the ROADMAP. + 1. Several prerequisite tasks are listed on the ROADMAP. -1. Can existing code be loaded? +1. Can existing code be loaded? - 1. It's not on the ROADMAP yet, but there are plans in place. It just requires some time. + 1. It's not on the ROADMAP yet, but there are plans in place. It just requires some time. -1. Support for multiple programming languages and natural languages? +1. Support for multiple programming languages and natural languages? - 1. It's listed on ROADMAP. + 1. It's listed on ROADMAP. -1. Want to join the contributor team? How to proceed? +1. Want to join the contributor team? How to proceed? - 1. Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP. + 1. Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP. -1. PRD stuck / unable to access/ connection interrupted +1. PRD stuck / unable to access/ connection interrupted - 1. The official OPENAI_API_BASE address is `https://api.openai.com/v1` - 1. If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl), it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"` - 1. If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled, don't set OPENAI_API_BASE. - 1. Note: OpenAI's default API design ends with a v1. An example of the correct configuration is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"` + 1. The official OPENAI_API_BASE address is `https://api.openai.com/v1` + 1. If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl), + it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as + openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"` + 1. If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another + option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a + local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing + through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled, + don't set OPENAI_API_BASE. + 1. Note: OpenAI's default API design ends with a v1. An example of the correct configuration + is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"` -1. Absolutely! How can I assist you today? +1. Absolutely! How can I assist you today? - 1. Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is higher when consuming 3.5k-4k tokens in GPT-4 + 1. Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is + higher when consuming 3.5k-4k tokens in GPT-4 -1. What does Max token mean? +1. What does Max token mean? - 1. It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be truncated. + 1. It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be + truncated. -1. How to change the investment amount? +1. How to change the investment amount? - 1. You can view all commands by typing `python startup.py --help` + 1. You can view all commands by typing `python startup.py --help` -1. Which version of Python is more stable? +1. Which version of Python is more stable? - 1. python3.9 / python3.10 + 1. python3.9 / python3.10 -1. Can't use GPT-4, getting the error "The model gpt-4 does not exist." +1. Can't use GPT-4, getting the error "The model gpt-4 does not exist." - 1. OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI. - 1. Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4. + 1. OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI. + 1. Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4. -1. Can games whose code has never been seen before be written? +1. Can games whose code has never been seen before be written? - 1. Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it suggests it can also summarize these discussions and convert them into code. The prompt would be something like "write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software. The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing trimming down requirements as much as possible. + 1. Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world + currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it + suggests it can also summarize these discussions and convert them into code. The prompt would be something like " + write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software. + The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing + trimming down requirements as much as possible. -1. Under what circumstances would there typically be errors? +1. Under what circumstances would there typically be errors? - 1. More than 500 lines of code: some function implementations may be left blank. - 1. When using a database, it often gets the implementation wrong — since the SQL database initialization process is usually not in the code. - 1. With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs. + 1. More than 500 lines of code: some function implementations may be left blank. + 1. When using a database, it often gets the implementation wrong — since the SQL database initialization process is + usually not in the code. + 1. With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs. -1. Instructions for using SD Skills/UI Role: +1. Instructions for using SD Skills/UI Role: - 1. Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding code implementation. For testing, you can refer to the test_ui in the same directory. + 1. Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding + code implementation. For testing, you can refer to the test_ui in the same directory. - 1. The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it processes the respective context, and based on the set template, outputs the UI. The output from the UI role includes: + 1. The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by + the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it + processes the respective context, and based on the set template, outputs the UI. The output from the UI role + includes: - 1. UI Design Description：Describes the content to be designed and the design objectives. - 1. Selected Elements：Describes the elements in the design that need to be illustrated. - 1. HTML Layout：Outputs the HTML code for the page. - 1. CSS Styles (styles.css)：Outputs the CSS code for the page. + 1. UI Design Description：Describes the content to be designed and the design objectives. + 1. Selected Elements：Describes the elements in the design that need to be illustrated. + 1. HTML Layout：Outputs the HTML code for the page. + 1. CSS Styles (styles.css)：Outputs the CSS code for the page. - 1. Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in metagpt/tools/sd_engine. + 1. Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in + metagpt/tools/sd_engine. - 1. Configuration instructions for SD Skills: The SD interface is currently deployed based on *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads, please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the command specified in cmd with the parameter nowebui, i.e., + 1. Configuration instructions for SD Skills: The SD interface is currently deployed based on + *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads, + please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the + command specified in cmd with the parameter nowebui, i.e., 1. > python webui.py --enable-insecure-extension-access --port xxx --no-gradio-queue --nowebui - 1.     Once it runs without errors, the interface will be accessible after approximately 1 minute when the model finishes loading. - 1. Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files. - 1. ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image) - 1.     SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860. + 1. Once it runs without errors, the interface will be accessible after approximately 1 minute when the model + finishes loading. + 1. Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files. + 1. ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image) + 1. SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860. 1. > SD_URL: IP:Port -1. An error occurred during installation: "Another program is using this file...egg". +1. An error occurred during installation: "Another program is using this file...egg". - 1. Delete the file and try again. - 1. Or manually execute`pip install -r requirements.txt` + 1. Delete the file and try again. + 1. Or manually execute`pip install -r requirements.txt` -1. The origin of the name MetaGPT？ +1. The origin of the name MetaGPT？ - 1. The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it. + 1. The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it. -1. Is there a more step-by-step installation tutorial? +1. Is there a more step-by-step installation tutorial? - 1. Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c) - 1. Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s - 2. video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak) + 1. + Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c) + 1. Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s + 2. video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak) -1. openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details +1. openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details - 1. If you haven't exhausted your free quota, set RPM to 3 or lower in the settings. - 1. If your free quota is used up, consider adding funds to your account. + 1. If you haven't exhausted your free quota, set RPM to 3 or lower in the settings. + 1. If your free quota is used up, consider adding funds to your account. -1. What does "borg" mean in n_borg? +1. What does "borg" mean in n_borg? - 1. [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg) - 1. The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the collective "voice" sometimes transmits aboard ships. + 1. [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg) + 1. The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg + individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and + guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but + also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the + collective "voice" sometimes transmits aboard ships. -1. How to use the Claude API？ +1. How to use the Claude API？ - 1. The full implementation of the Claude API is not provided in the current code. - 1. You can use the Claude API through third-party API conversion projects like: https://github.com/jtsang4/claude-to-chatgpt + 1. The full implementation of the Claude API is not provided in the current code. + 1. You can use the Claude API through third-party API conversion projects + like: https://github.com/jtsang4/claude-to-chatgpt -1. Is Llama2 supported？ +1. Is Llama2 supported？ - 1. On the day Llama2 was released, some of the community members began experiments and found that output can be generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project. Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good recommendations for expansion models or methods, please leave a comment. + 1. On the day Llama2 was released, some of the community members began experiments and found that output can be + generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project. + Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good + recommendations for expansion models or methods, please leave a comment. -1. `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'` +1. `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'` - 1. Upgrade node to version 14.x or above: + 1. Upgrade node to version 14.x or above: - 1. `npm install -g n` - 1. `n stable` to install the stable version of node（v18.x） + 1. `npm install -g n` + 1. `n stable` to install the stable version of node（v18.x） diff --git a/docs/README_CN.md b/docs/README_CN.md index 7a27a0e59..e7a6413f4 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -27,7 +27,7 @@ # MetaGPT: 多智能体框架 1. MetaGPT输入**一句话的老板需求**，输出**用户故事 / 竞品分析 / 需求 / 数据结构 / APIs / 文件等** 2. MetaGPT内部包括**产品经理 / 架构师 / 项目经理 / 工程师**，它提供了一个**软件公司**的全过程与精心调配的SOP - 1. `Code = SOP(Team)` 是核心哲学。我们将SOP具象化，并且用于LLM构成的团队 + 1. `Code = SOP(Team)` 是核心哲学。我们将SOP具象化，并且用于LLM构成的团队 ![一个完全由大语言模型角色构成的软件公司](resources/software_company_cd.jpeg) @@ -37,7 +37,6 @@ ## MetaGPT 的能力 https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419 - ## 示例（均由 GPT-4 生成） 例如，键入`python startup.py "写个类似今日头条的推荐系统"`并回车，你会获得一系列输出，其一是数据结构与API设计 @@ -81,7 +80,9 @@ # 第 3 步：克隆仓库到您的本地机器，并进行安装。 MMDC: "./node_modules/.bin/mmdc" ``` -- 如果`pip install -e.`失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`，请尝试使用`pip install -e. --user`运行。 +- 如果`pip install -e.` + 失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` + ，请尝试使用`pip install -e. --user`运行。 ### Docker安装 @@ -136,10 +137,10 @@ # 复制配置文件并进行必要的修改 cp config/config.yaml config/key.yaml ``` -| 变量名 | config/key.yaml | env | -| ----------------------------------- | ----------------------------------------- | ----------------------------------------------- | +| 变量名 | config/key.yaml | env | +|----------------------------|-------------------------------------------|-------------------------------------------------| | OPENAI_API_KEY # 用您自己的密钥替换 | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | -| OPENAI_API_BASE # 可选 | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | +| OPENAI_API_BASE # 可选 | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | ## 示例：启动一个创业公司 @@ -150,9 +151,12 @@ # 开启code review模式会花费更多的金钱, 但是会提升代码质量 ``` 运行脚本后，您可以在 `workspace/` 目录中找到您的新项目。 + ### 平台或工具的倾向性 + 可以在阐述需求时说明想要使用的平台或工具。 例如： + ```shell python startup.py "写一个基于pygame的命令行贪吃蛇" ``` @@ -205,7 +209,8 @@ ### 代码实现 你可以查看`examples`，其中有单角色（带知识库）的使用例子与仅LLM的使用例子。 ## 快速体验 -对一些用户来说，安装配置本地环境是有困难的，下面这些教程能够让你快速体验到MetaGPT的魅力。 + +对一些用户来说，安装配置本地环境是有困难的，下面这些教程能够让你快速体验到MetaGPT的魅力。 - [MetaGPT快速体验](https://deepwisdom.feishu.cn/wiki/Q8ycw6J9tiNXdHk66MRcIN8Pnlg) @@ -218,7 +223,8 @@ ## 联系信息 如果您对这个项目有任何问题或反馈，欢迎联系我们。我们非常欢迎您的建议！ - **邮箱：** alexanderwu@fuzhi.ai -- **GitHub 问题：** 对于更技术性的问题，您也可以在我们的 [GitHub 仓库](https://github.com/geekan/metagpt/issues) 中创建一个新的问题。 +- **GitHub 问题：** 对于更技术性的问题，您也可以在我们的 [GitHub 仓库](https://github.com/geekan/metagpt/issues) + 中创建一个新的问题。 我们会在2-3个工作日内回复所有问题。 diff --git a/docs/README_JA.md b/docs/README_JA.md index eab69d912..5de7f5d37 100644 --- a/docs/README_JA.md +++ b/docs/README_JA.md @@ -26,8 +26,9 @@ # MetaGPT: マルチエージェントフレームワーク

1. MetaGPT は、**1 行の要件** を入力とし、**ユーザーストーリー / 競合分析 / 要件 / データ構造 / API / 文書など** を出力します。 -2. MetaGPT には、**プロダクト マネージャー、アーキテクト、プロジェクト マネージャー、エンジニア** が含まれています。MetaGPT は、**ソフトウェア会社のプロセス全体を、慎重に調整された SOP とともに提供します。** - 1. `Code = SOP(Team)` が基本理念です。私たちは SOP を具体化し、LLM で構成されるチームに適用します。 +2. MetaGPT には、**プロダクト マネージャー、アーキテクト、プロジェクト マネージャー、エンジニア** が含まれています。MetaGPT + は、**ソフトウェア会社のプロセス全体を、慎重に調整された SOP とともに提供します。** + 1. `Code = SOP(Team)` が基本理念です。私たちは SOP を具体化し、LLM で構成されるチームに適用します。 ![ソフトウェア会社は LLM ベースの役割で構成されている](resources/software_company_cd.jpeg) @@ -37,7 +38,6 @@ ## MetaGPTの能力 https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419 - ## 例（GPT-4 で完全生成） 例えば、`python startup.py "Toutiao のような RecSys をデザインする"`と入力すると、多くの出力が得られます @@ -70,10 +70,12 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、 **注:** -- すでに Chrome、Chromium、MS Edge がインストールされている場合は、環境変数 `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` を `true` に設定することで、 -Chromium のダウンロードをスキップすることができます。 +- すでに Chrome、Chromium、MS Edge がインストールされている場合は、環境変数 `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` を `true` + に設定することで、 + Chromium のダウンロードをスキップすることができます。 -- このツールをグローバルにインストールする[問題を抱えている](https://github.com/mermaidjs/mermaid.cli/issues/15)人もいます。ローカルにインストールするのが代替の解決策です、 +- このツールをグローバルにインストールする[問題を抱えている](https://github.com/mermaidjs/mermaid.cli/issues/15) + 人もいます。ローカルにインストールするのが代替の解決策です、 ```bash npm install @mermaid-js/mermaid-cli @@ -86,7 +88,9 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、 MMDC: "./node_modules/.bin/mmdc" ``` -- もし `pip install -e.` がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` で失敗したら、代わりに `pip install -e. --user` を実行してみてください +- もし `pip install -e.` + がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` + で失敗したら、代わりに `pip install -e. --user` を実行してみてください ### Docker によるインストール @@ -141,10 +145,10 @@ # 設定ファイルをコピーし、必要な修正を加える。 cp config/config.yaml config/key.yaml ``` -| 変数名 | config/key.yaml | env | -| --------------------------------------- | ----------------------------------------- | ----------------------------------------------- | +| 変数名 | config/key.yaml | env | +|------------------------------|-------------------------------------------|-------------------------------------------------| | OPENAI_API_KEY # 自分のキーに置き換える | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | -| OPENAI_API_BASE # オプション | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | +| OPENAI_API_BASE # オプション | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | ## チュートリアル: スタートアップの開始 @@ -221,6 +225,7 @@ ## クイックスタート - [MetaGPT クイックスタート](https://deepwisdom.feishu.cn/wiki/CyY9wdJc4iNqArku3Lncl4v8n2b) Hugging Face Space で試す + - https://huggingface.co/spaces/deepwisdom/MetaGPT ## 引用 @@ -243,7 +248,8 @@ ## お問い合わせ先 このプロジェクトに関するご質問やご意見がございましたら、お気軽にお問い合わせください。皆様のご意見をお待ちしております！ - **Email:** alexanderwu@fuzhi.ai -- **GitHub Issues:** 技術的なお問い合わせについては、[GitHub リポジトリ](https://github.com/geekan/metagpt/issues) に新しい issue を作成することもできます。 +- **GitHub Issues:** 技術的なお問い合わせについては、[GitHub リポジトリ](https://github.com/geekan/metagpt/issues) に新しい + issue を作成することもできます。 ご質問には 2-3 営業日以内に回答いたします。 diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index 005a59ab2..a205157c5 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -1,4 +1,3 @@ - ## Roadmap ### Long-term Objective @@ -16,67 +15,69 @@ ### Tasks To reach version v0.5, approximately 70% of the following tasks need to be completed. 1. Usability - 1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully) - 2. Support for overall save and recovery of software companies - 3. Support human confirmation and modification during the process - 4. Support process caching: Consider carefully whether to add server caching mechanism - 5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts - 6. Write documentation, describing the current features and usage at all levels - 7. ~~Support Docker~~ + 1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully) + 2. Support for overall save and recovery of software companies + 3. Support human confirmation and modification during the process + 4. Support process caching: Consider carefully whether to add server caching mechanism + 5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through + stricter system prompts + 6. Write documentation, describing the current features and usage at all levels + 7. ~~Support Docker~~ 2. Features - 1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at) - 2. ~~Establish a separate output queue, differentiated from the message queue~~ - 3. Attempt to atomize all role work, but this may significantly increase token overhead - 4. Complete the design and implementation of module breakdown - 5. Support various modes of memory: clearly distinguish between long-term and short-term memory - 6. Perfect the test role, and carry out necessary interactions with humans - 7. Provide full mode instead of the current fast mode, allowing natural communication between roles - 8. Implement SkillManager and the process of incremental Skill learning - 9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured + 1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at) + 2. ~~Establish a separate output queue, differentiated from the message queue~~ + 3. Attempt to atomize all role work, but this may significantly increase token overhead + 4. Complete the design and implementation of module breakdown + 5. Support various modes of memory: clearly distinguish between long-term and short-term memory + 6. Perfect the test role, and carry out necessary interactions with humans + 7. Provide full mode instead of the current fast mode, allowing natural communication between roles + 8. Implement SkillManager and the process of incremental Skill learning + 9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need + to be manually configured 3. Strategies - 1. Support ReAct strategy - 2. Support CoT strategy - 3. Support ToT strategy - 4. Support Reflection strategy + 1. Support ReAct strategy + 2. Support CoT strategy + 3. Support ToT strategy + 4. Support Reflection strategy 4. Actions - 1. Implementation: Search - 2. Implementation: Knowledge search, supporting 10+ data formats - 3. Implementation: Data EDA - 4. Implementation: Review - 5. Implementation: Add Document - 6. Implementation: Delete Document - 7. Implementation: Self-training - 8. Implementation: DebugError - 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 - 13. Implementation: Data collection - 14. Implementation: AI training - 15. Implementation: Run code - 16. Implementation: Web access + 1. Implementation: Search + 2. Implementation: Knowledge search, supporting 10+ data formats + 3. Implementation: Data EDA + 4. Implementation: Review + 5. Implementation: Add Document + 6. Implementation: Delete Document + 7. Implementation: Self-training + 8. Implementation: DebugError + 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 + 13. Implementation: Data collection + 14. Implementation: AI training + 15. Implementation: Run code + 16. Implementation: Web access 5. Plugins: Compatibility with plugin system 6. Tools - 1. ~~Support SERPER api~~ - 2. ~~Support Selenium apis~~ - 3. ~~Support Playwright apis~~ + 1. ~~Support SERPER api~~ + 2. ~~Support Selenium apis~~ + 3. ~~Support Playwright apis~~ 7. Roles - 1. Perfect the action pool/skill pool for each role - 2. Red Book blogger - 3. E-commerce seller - 4. Data analyst - 5. News observer - 6. Institutional researcher + 1. Perfect the action pool/skill pool for each role + 2. Red Book blogger + 3. E-commerce seller + 4. Data analyst + 5. News observer + 6. Institutional researcher 8. Evaluation - 1. Support an evaluation on a game dataset - 2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results - 3. Support an evaluation on a math dataset - 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process + 1. Support an evaluation on a game dataset + 2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results + 3. Support an evaluation on a math dataset + 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process 9. LLM - 1. Support Claude underlying API - 2. ~~Support Azure asynchronous API~~ - 3. Support streaming version of all APIs - 4. ~~Make gpt-3.5-turbo available (HARD)~~ + 1. Support Claude underlying API + 2. ~~Support Azure asynchronous API~~ + 3. Support streaming version of all APIs + 4. ~~Make gpt-3.5-turbo available (HARD)~~ 10. Other 1. Clean up existing unused code 2. Unify all code styles and establish contribution standards diff --git a/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg b/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg index 785fdafcb..c186e4ce5 100644 --- a/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg +++ b/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg @@ -1 +1,128 @@ -Reach and engagement of campaignsWe should expandNeed to promoteRe-evaluateMay be improvedOur Target ProductPinterestSpotifyAmazonNetflixYouTubeFacebookJinri ToutiaoLow ReachHigh ReachLow EngagementHigh EngagementReach and engagement of campaigns \ No newline at end of file + + Reach and engagement of campaigns + + + + + + + We should expand + + + + + Need to promote + + + + + Re-evaluate + + + + + May be improved + + + + + + + + + + + + + + + Our Target Product + + + + + Pinterest + + + + + Spotify + + + + + Amazon + + + + + Netflix + + + + + YouTube + + + + + Facebook + + + + + Jinri Toutiao + + + + + + Low Reach + + + + High Reach + + + + Low Engagement + + + + High Engagement + + + + + Reach and engagement of campaigns + + + + \ No newline at end of file diff --git a/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg b/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg index a39c84375..f9bf692df 100644 --- a/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg +++ b/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg @@ -1 +1,1020 @@ -
1
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User
+int user_id
+str name
+str email
+DateTime created_at
+__init__(user_id: int, name: str, email: str) : -> None
UserProfile
+int user_id
+dict preferences
+dict history
+__init__(user_id: int, preferences: dict, history: dict) : -> None
Content
+int content_id
+str title
+str description
+str category
+DateTime published_at
+__init__(content_id: int, title: str, description: str, category: str, published_at: DateTime) : -> None
CollaborativeFilteringModel
+DataFrame data
+str model_type
+__init__(data: DataFrame, model_type: str) : -> None
+fit() : -> None
+predict(user_id: int, n_recommendations: int) : -> List[int]
ContentBasedFilteringModel
+DataFrame data
+str model_type
+__init__(data: DataFrame, model_type: str) : -> None
+fit() : -> None
+predict(user_id: int, n_recommendations: int) : -> List[int]
Recommender
+int user_id
+UserProfile user_profile
+CollaborativeFilteringModel cf_model
+ContentBasedFilteringModel cbf_model
+__init__(user_id: int, user_profile: UserProfile, cf_model: CollaborativeFilteringModel, cbf_model: ContentBasedFilteringModel) : -> None
+get_recommendations(n_recommendations: int) : -> List[int]
ExperimentationPlatform
+List[Recommender] recommenders
+__init__(recommenders: List[Recommender]) : -> None
+run_experiment(user_id: int, n_recommendations: int) : -> Dict[str, List[int]]
Optimization
+Recommender recommender
+__init__(recommender: Recommender) : -> None
+optimize() : -> None
Feedback
+int user_id
+int content_id
+int rating
+__init__(user_id: int, content_id: int, rating: int) : -> None
Monitoring
+Recommender recommender
+__init__(recommender: Recommender) : -> None
+generate_report() : -> None
Advertising
+int advertiser_id
+str target_audience
+__init__(advertiser_id: int, target_audience: str) : -> None
Privacy
+User user
+__init__(user: User) : -> None
+ensure_privacy() : -> None
 \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + + + + + + +
+ +
+ + +
+ User +
+ + +
+ +int user_id +
+ + +
+ +str name +
+ + +
+ +str email +
+ + +
+ +DateTime created_at +
+ + +
+ +__init__(user_id: int, name: str, email: str) : -> None + +
+ + + + + + + + + +
+ +
+ + +
+ UserProfile +
+ + +
+ +int user_id +
+ + +
+ +dict preferences +
+ + +
+ +dict history +
+ + +
+ +__init__(user_id: int, preferences: dict, history: dict) : -> + None + +
+ + + + + + + + + +
+ +
+ + +
+ Content +
+ + +
+ +int content_id +
+ + +
+ +str title +
+ + +
+ +str description +
+ + +
+ +str category +
+ + +
+ +DateTime published_at +
+ + +
+ +__init__(content_id: int, title: str, description: str, + category: str, published_at: DateTime) : -> None + +
+ + + + + + + + + +
+ +
+ + +
+ CollaborativeFilteringModel +
+ + +
+ +DataFrame data +
+ + +
+ +str model_type +
+ + +
+ +__init__(data: DataFrame, model_type: str) : -> None +
+ + +
+ +fit() : -> None +
+ + +
+ +predict(user_id: int, n_recommendations: int) : -> + List[int] + +
+ + + + + + + + + +
+ +
+ + +
+ ContentBasedFilteringModel +
+ + +
+ +DataFrame data +
+ + +
+ +str model_type +
+ + +
+ +__init__(data: DataFrame, model_type: str) : -> None +
+ + +
+ +fit() : -> None +
+ + +
+ +predict(user_id: int, n_recommendations: int) : -> + List[int] + +
+ + + + + + + + + +
+ +
+ + +
+ Recommender +
+ + +
+ +int user_id +
+ + +
+ +UserProfile user_profile +
+ + +
+ +CollaborativeFilteringModel cf_model +
+ + +
+ +ContentBasedFilteringModel cbf_model +
+ + +
+ +__init__(user_id: int, user_profile: UserProfile, cf_model: + CollaborativeFilteringModel, cbf_model: ContentBasedFilteringModel) : -> None + +
+ + +
+ +get_recommendations(n_recommendations: int) : -> List[int] + +
+ + + + + + + + + +
+ +
+ + +
+ ExperimentationPlatform +
+ + +
+ +List[Recommender] recommenders +
+ + +
+ +__init__(recommenders: List[Recommender]) : -> None +
+ + +
+ +run_experiment(user_id: int, n_recommendations: int) : -> + Dict[str, List[int]] + +
+ + + + + + + + + +
+ +
+ + +
+ Optimization +
+ + +
+ +Recommender recommender +
+ + +
+ +__init__(recommender: Recommender) : -> None +
+ + +
+ +optimize() : -> None +
+ + + + + + + + + +
+ +
+ + +
+ Feedback +
+ + +
+ +int user_id +
+ + +
+ +int content_id +
+ + +
+ +int rating +
+ + +
+ +__init__(user_id: int, content_id: int, rating: int) : -> + None + +
+ + + + + + + + + +
+ +
+ + +
+ Monitoring +
+ + +
+ +Recommender recommender +
+ + +
+ +__init__(recommender: Recommender) : -> None +
+ + +
+ +generate_report() : -> None +
+ + + + + + + + + +
+ +
+ + +
+ Advertising +
+ + +
+ +int advertiser_id +
+ + +
+ +str target_audience +
+ + +
+ +__init__(advertiser_id: int, target_audience: str) : -> + None + +
+ + + + + + + + + +
+ +
+ + +
+ Privacy +
+ + +
+ +User user +
+ + +
+ +__init__(user: User) : -> None +
+ + +
+ +ensure_privacy() : -> None +
+ + + + + + + \ No newline at end of file diff --git a/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg b/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg index d73482917..e73110109 100644 --- a/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg +++ b/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg @@ -1 +1,342 @@ -UserUserProfileRecommenderCollaborativeFilteringModelContentBasedFilteringModelExperimentationPlatformFeedbackOptimizationMonitoringPrivacyAdvertisingcreate UserProfilecreate Recommenderfit modelfit modelrun_experiment()get_recommendations()predict()predict()submit feedbackupdate modelsfit modelfit modeloptimize()update modelsgenerate_report()ensure_privacy()ensure_privacy()UserUserProfileRecommenderCollaborativeFilteringModelContentBasedFilteringModelExperimentationPlatformFeedbackOptimizationMonitoringPrivacyAdvertising \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + User + + + + + + + + + UserProfile + + + + + + + + + Recommender + + + + + + + + + CollaborativeFilteringModel + + + + + + + + + ContentBasedFilteringModel + + + + + + + + + ExperimentationPlatform + + + + + + + + + Feedback + + + + + + + + + Optimization + + + + + + + + + Monitoring + + + + + + + + + Privacy + + + + + + + + + Advertising + + + + + + + + + + + + + + + + + + + + + + + + create UserProfile + + + create Recommender + + + fit model + + + fit model + + + run_experiment() + + + get_recommendations() + + + predict() + + + predict() + + + submit feedback + + + update models + + + fit model + + + fit model + + + optimize() + + + update models + + + generate_report() + + + ensure_privacy() + + + ensure_privacy() + + + + + + User + + + + + + UserProfile + + + + + + Recommender + + + + + + CollaborativeFilteringModel + + + + + + ContentBasedFilteringModel + + + + + + ExperimentationPlatform + + + + + + Feedback + + + + + + Optimization + + + + + + Monitoring + + + + + + Privacy + + + + + + Advertising + + + \ No newline at end of file diff --git a/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg b/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg index 541df8d18..0b3ac4860 100644 --- a/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg +++ b/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg @@ -1 +1,128 @@ -MLOps/LLMOps Frameworks for GPT-4 and LLMsLeadersInnovatorsLaggardsChallengersOur Target ProductAWS SageMakerAzure Machine LearningKubeflowMLflowTensorFlow ExtendedCometWeights & BiasesLow IntegrationHigh IntegrationLow UsabilityHigh UsabilityMLOps/LLMOps Frameworks for GPT-4 and LLMs \ No newline at end of file + + MLOps/LLMOps Frameworks for GPT-4 and LLMs + + + + + + + Leaders + + + + + Innovators + + + + + Laggards + + + + + Challengers + + + + + + + + + + + + + + + Our Target Product + + + + + AWS SageMaker + + + + + Azure Machine Learning + + + + + Kubeflow + + + + + MLflow + + + + + TensorFlow Extended + + + + + Comet + + + + + Weights & Biases + + + + + + Low Integration + + + + High Integration + + + + Low Usability + + + + High Usability + + + + + MLOps/LLMOps Frameworks for GPT-4 and LLMs + + + + \ No newline at end of file diff --git a/docs/resources/workspace/llmops_framework/resources/data_api_design.svg b/docs/resources/workspace/llmops_framework/resources/data_api_design.svg index 244af9965..6423bb4c3 100644 --- a/docs/resources/workspace/llmops_framework/resources/data_api_design.svg +++ b/docs/resources/workspace/llmops_framework/resources/data_api_design.svg @@ -1 +1,631 @@ -
config
1
1
dataset
1
1
model
1
1
model
1
1
ModelConfig
+model_name: str
+model_type: str
+config: Dict[str, Any]
+__init__(self, model_name: str, model_type: str, config: Dict[str, Any])
Dataset
+dataset_name: str
+split: str
+tokenizer: PreTrainedTokenizer
+__init__(self, dataset_name: str, split: str, tokenizer: PreTrainedTokenizer)
+load_data(self) : -> Dataset
+preprocess_data(self, max_length: int) : -> Dataset
BaseModel
+model_config: ModelConfig
+model: Union[PreTrainedModel, nn.Module]
+__init__(self, model_config: ModelConfig)
+load_model(self) : -> Union[PreTrainedModel, nn.Module]
FineTuningPipeline
+model: BaseModel
+dataset: Dataset
+training_args: TrainingArguments
+__init__(self, model: BaseModel, dataset: Dataset, training_args: TrainingArguments)
+train(self) : -> Tuple[Trainer, Dict[str, Any]]
Experiment
+name: str
+description: str
+__init__(self, name: str, description: str)
+start(self) : -> None
+log_metrics(self, metrics: Dict[str, Any]) : -> None
+end(self) : -> None
Artifact
+name: str
+artifact_type: str
+path: str
+__init__(self, name: str, artifact_type: str, path: str)
+save(self) : -> None
+load(self) : -> Any
ModelRegistry
+__init__(self)
+register_model(self, model: BaseModel, version: str) : -> None
+get_model(self, model_name: str, version: str) : -> BaseModel
+deploy_model(self, model_name: str, version: str) : -> None
ModelMonitoring
+model_registry: ModelRegistry
+__init__(self, model_registry: ModelRegistry)
+monitor_model(self, model_name: str, version: str) : -> Dict[str, Any]
 \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + config + +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ + dataset + +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ + model + +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ + model + +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + + + + + + +
+ +
+ + +
+ ModelConfig +
+ + +
+ +model_name: str +
+ + +
+ +model_type: str +
+ + +
+ +config: Dict[str, Any] +
+ + +
+ +__init__(self, model_name: str, model_type: str, config: + Dict[str, Any]) + +
+ + + + + + + + + +
+ +
+ + +
+ Dataset +
+ + +
+ +dataset_name: str +
+ + +
+ +split: str +
+ + +
+ +tokenizer: PreTrainedTokenizer +
+ + +
+ +__init__(self, dataset_name: str, split: str, tokenizer: + PreTrainedTokenizer) + +
+ + +
+ +load_data(self) : -> Dataset +
+ + +
+ +preprocess_data(self, max_length: int) : -> Dataset +
+ + + + + + + + + +
+ +
+ + +
+ BaseModel +
+ + +
+ +model_config: ModelConfig +
+ + +
+ +model: Union[PreTrainedModel, nn.Module] +
+ + +
+ +__init__(self, model_config: ModelConfig) +
+ + +
+ +load_model(self) : -> Union[PreTrainedModel, nn.Module] + +
+ + + + + + + + + +
+ +
+ + +
+ FineTuningPipeline +
+ + +
+ +model: BaseModel +
+ + +
+ +dataset: Dataset +
+ + +
+ +training_args: TrainingArguments +
+ + +
+ +__init__(self, model: BaseModel, dataset: Dataset, + training_args: TrainingArguments) + +
+ + +
+ +train(self) : -> Tuple[Trainer, Dict[str, Any]] +
+ + + + + + + + + +
+ +
+ + +
+ Experiment +
+ + +
+ +name: str +
+ + +
+ +description: str +
+ + +
+ +__init__(self, name: str, description: str) +
+ + +
+ +start(self) : -> None +
+ + +
+ +log_metrics(self, metrics: Dict[str, Any]) : -> None +
+ + +
+ +end(self) : -> None +
+ + + + + + + + + +
+ +
+ + +
+ Artifact +
+ + +
+ +name: str +
+ + +
+ +artifact_type: str +
+ + +
+ +path: str +
+ + +
+ +__init__(self, name: str, artifact_type: str, path: str) +
+ + +
+ +save(self) : -> None +
+ + +
+ +load(self) : -> Any +
+ + + + + + + + + +
+ +
+ + +
+ ModelRegistry +
+ + +
+ +__init__(self) +
+ + +
+ +register_model(self, model: BaseModel, version: str) : -> + None + +
+ + +
+ +get_model(self, model_name: str, version: str) : -> + BaseModel + +
+ + +
+ +deploy_model(self, model_name: str, version: str) : -> + None + +
+ + + + + + + + + +
+ +
+ + +
+ ModelMonitoring +
+ + +
+ +model_registry: ModelRegistry +
+ + +
+ +__init__(self, model_registry: ModelRegistry) +
+ + +
+ +monitor_model(self, model_name: str, version: str) : -> + Dict[str, Any] + +
+ + + + + + + \ No newline at end of file diff --git a/docs/resources/workspace/llmops_framework/resources/seq_flow.svg b/docs/resources/workspace/llmops_framework/resources/seq_flow.svg index 02a826df8..2519bd2ff 100644 --- a/docs/resources/workspace/llmops_framework/resources/seq_flow.svg +++ b/docs/resources/workspace/llmops_framework/resources/seq_flow.svg @@ -1 +1,323 @@ -UserModelConfigDatasetBaseModelFineTuningPipelineExperimentArtifactModelRegistryModelMonitoring__init__(model_name, model_type, config)__init__(dataset_name, split, tokenizer)__init__(model_config)__init__(model, dataset, training_args)__init__(name, description)__init__(name, artifact_type, path)__init__()__init__(model_registry)load_data()preprocess_data(max_length)load_model()train()start()log_metrics(metrics)end()save()register_model(model, version)monitor_model(model_name, version)get_model(model_name, version)deploy_model(model_name, version)UserModelConfigDatasetBaseModelFineTuningPipelineExperimentArtifactModelRegistryModelMonitoring \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + User + + + + + + + + + ModelConfig + + + + + + + + + Dataset + + + + + + + + + BaseModel + + + + + + + + + FineTuningPipeline + + + + + + + + + Experiment + + + + + + + + + Artifact + + + + + + + + + ModelRegistry + + + + + + + + + ModelMonitoring + + + + + + + + + + + + + + + + + + + + + + + + __init__(model_name, model_type, config) + + + __init__(dataset_name, split, tokenizer) + + + __init__(model_config) + + + __init__(model, dataset, training_args) + + + __init__(name, description) + + + __init__(name, artifact_type, path) + + + __init__() + + + __init__(model_registry) + + + load_data() + + + preprocess_data(max_length) + + + load_model() + + + train() + + + start() + + + log_metrics(metrics) + + + end() + + + save() + + + register_model(model, version) + + + monitor_model(model_name, version) + + + get_model(model_name, version) + + + deploy_model(model_name, version) + + + + + + User + + + + + + ModelConfig + + + + + + Dataset + + + + + + BaseModel + + + + + + FineTuningPipeline + + + + + + Experiment + + + + + + Artifact + + + + + + ModelRegistry + + + + + + ModelMonitoring + + + \ No newline at end of file diff --git a/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg b/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg index 43a164f19..684e608ef 100644 --- a/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg +++ b/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg @@ -1 +1,128 @@ -Reach and Engagement of Match-3 GamesExpand FeaturesPromote MoreRe-evaluateImprove EngagementOur Target ProductToon BlastFishdomGardenscapesHomescapesGummy Drop!BejeweledCandy Crush SagaLow ReachHigh ReachLow EngagementHigh EngagementReach and Engagement of Match-3 Games \ No newline at end of file + + Reach and Engagement of Match-3 Games + + + + + + + Expand Features + + + + + Promote More + + + + + Re-evaluate + + + + + Improve Engagement + + + + + + + + + + + + + + + Our Target Product + + + + + Toon Blast + + + + + Fishdom + + + + + Gardenscapes + + + + + Homescapes + + + + + Gummy Drop! + + + + + Bejeweled + + + + + Candy Crush Saga + + + + + + Low Reach + + + + High Reach + + + + Low Engagement + + + + High Engagement + + + + + Reach and Engagement of Match-3 Games + + + + \ No newline at end of file diff --git a/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg b/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg index 95268f914..4977a8e7a 100644 --- a/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg +++ b/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg @@ -1 +1,947 @@ -
1
1
1
1
1
*
1
*
1
1
1
1
1
1
1
1
1
1
1
*
1
*
1
*
Game
+__init__(self, user: User)
+start(self)
+play_level(self, level: Level)
+complete_level(self, level: Level, score: int)
+use_power_up(self, power_up: PowerUp)
User
+__init__(self, username: str, password: str)
+login(self)
+register(self)
+connect_social(self, social_platform: str)
+get_friends(self) : -> List[User]
Level
+__init__(self, level_data: Dict[str, Any])
+load(self)
+generate(self)
+check_win(self) : -> bool
+get_objectives(self) : -> List[Objective]
Objective
+__init__(self, type: str, target: int)
+is_complete(self) : -> bool
PowerUp
+__init__(self, type: str, effect: Callable)
+apply(self, game: Game)
Reward
+__init__(self, type: str, value: Any)
+claim(self, user: User)
UI
+__init__(self, game: Game)
+render(self)
+handle_input(self, event: pygame.event.Event)
Social
+__init__(self, user: User)
+share(self, platform: str, content: str)
+invite(self, friend: User)
+compare_scores(self, friend: User) : -> Tuple[int, int]
Platform
+__init__(self, game: Game)
+save(self, user: User)
+load(self, user: User)
Tutorial
+__init__(self, game: Game)
+start(self)
+next_step(self)
+complete(self)
IAP
+__init__(self, user: User)
+purchase(self, item: str)
Update
+__init__(self, game: Game)
+check_updates(self) : -> bool
+download_update(self)
+apply_update(self)
 \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ * +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ * +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ 1 +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ * +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ * +
+ + + + + +
+ +
+ + + + + + +
+ 1 +
+ + + + + + +
+ * +
+ + + + + + + + + + +
+ +
+ + +
+ Game +
+ + +
+ +__init__(self, user: User) +
+ + +
+ +start(self) +
+ + +
+ +play_level(self, level: Level) +
+ + +
+ +complete_level(self, level: Level, score: int) +
+ + +
+ +use_power_up(self, power_up: PowerUp) +
+ + + + + + + + + +
+ +
+ + +
+ User +
+ + +
+ +__init__(self, username: str, password: str) +
+ + +
+ +login(self) +
+ + +
+ +register(self) +
+ + +
+ +connect_social(self, social_platform: str) +
+ + +
+ +get_friends(self) : -> List[User] +
+ + + + + + + + + +
+ +
+ + +
+ Level +
+ + +
+ +__init__(self, level_data: Dict[str, Any]) +
+ + +
+ +load(self) +
+ + +
+ +generate(self) +
+ + +
+ +check_win(self) : -> bool +
+ + +
+ +get_objectives(self) : -> List[Objective] +
+ + + + + + + + + +
+ +
+ + +
+ Objective +
+ + +
+ +__init__(self, type: str, target: int) +
+ + +
+ +is_complete(self) : -> bool +
+ + + + + + + + + +
+ +
+ + +
+ PowerUp +
+ + +
+ +__init__(self, type: str, effect: Callable) +
+ + +
+ +apply(self, game: Game) +
+ + + + + + + + + +
+ +
+ + +
+ Reward +
+ + +
+ +__init__(self, type: str, value: Any) +
+ + +
+ +claim(self, user: User) +
+ + + + + + + + + +
+ +
+ + +
+ UI +
+ + +
+ +__init__(self, game: Game) +
+ + +
+ +render(self) +
+ + +
+ +handle_input(self, event: pygame.event.Event) +
+ + + + + + + + + +
+ +
+ + +
+ Social +
+ + +
+ +__init__(self, user: User) +
+ + +
+ +share(self, platform: str, content: str) +
+ + +
+ +invite(self, friend: User) +
+ + +
+ +compare_scores(self, friend: User) : -> Tuple[int, int] + +
+ + + + + + + + + +
+ +
+ + +
+ Platform +
+ + +
+ +__init__(self, game: Game) +
+ + +
+ +save(self, user: User) +
+ + +
+ +load(self, user: User) +
+ + + + + + + + + +
+ +
+ + +
+ Tutorial +
+ + +
+ +__init__(self, game: Game) +
+ + +
+ +start(self) +
+ + +
+ +next_step(self) +
+ + +
+ +complete(self) +
+ + + + + + + + + +
+ +
+ + +
+ IAP +
+ + +
+ +__init__(self, user: User) +
+ + +
+ +purchase(self, item: str) +
+ + + + + + + + + +
+ +
+ + +
+ Update +
+ + +
+ +__init__(self, game: Game) +
+ + +
+ +check_updates(self) : -> bool +
+ + +
+ +download_update(self) +
+ + +
+ +apply_update(self) +
+ + + + + + + \ No newline at end of file diff --git a/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg b/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg index d1f914c1e..533860c56 100644 --- a/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg +++ b/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg @@ -1 +1,425 @@ -UserGameUILevelObjectivePowerUpRewardSocialPlatformTutorialIAPUpdateloop[Each tutorial step]alt[Level completed]loop[Each level]alt[Updatesavailable]start()start()render()handle_input(event)next_step()complete()load()generate()render()handle_input(event)check_win()claim(user)apply(game)share(platform, content)save(user)purchase(item)check_updates()download_update()apply_update()UserGameUILevelObjectivePowerUpRewardSocialPlatformTutorialIAPUpdate \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + User + + + + + + + + + Game + + + + + + + + + UI + + + + + + + + + Level + + + + + + + + + Objective + + + + + + + + + PowerUp + + + + + + + + + Reward + + + + + + + + + Social + + + + + + + + + Platform + + + + + + + + + Tutorial + + + + + + + + + IAP + + + + + + + + + Update + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + loop + + + [Each tutorial step] + + + + + + + + + + alt + + + [Level completed] + + + + + + + + + loop + + + [Each level] + + + + + + + + + alt + + + [Updates + + + available] + + + start() + + + start() + + + render() + + + handle_input(event) + + + next_step() + + + complete() + + + load() + + + generate() + + + render() + + + handle_input(event) + + + check_win() + + + claim(user) + + + apply(game) + + + share(platform, content) + + + save(user) + + + purchase(item) + + + check_updates() + + + download_update() + + + apply_update() + + + + + + User + + + + + + Game + + + + + + UI + + + + + + Level + + + + + + Objective + + + + + + PowerUp + + + + + + Reward + + + + + + Social + + + + + + Platform + + + + + + Tutorial + + + + + + IAP + + + + + + Update + + + \ No newline at end of file diff --git a/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg b/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg index 57edac51c..98686dff0 100644 --- a/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg +++ b/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg @@ -1 +1,116 @@ -Competitive Analysis of Pomodoro TimersOur ProductPomodoro TrackerTomato TimerPomofocusPomoDonePomelloPomofocusTomato TimerPomodoro TrackerOur ProductLow FunctionalityHigh FunctionalityHigh ComplexityLow ComplexityCompetitive Analysis of Pomodoro Timers \ No newline at end of file + + Competitive Analysis of Pomodoro Timers + + + + + + + Our Product + + + + + Pomodoro Tracker + + + + + Tomato Timer + + + + + Pomofocus + + + + + + + + + + + + + + + PomoDone + + + + + Pomello + + + + + Pomofocus + + + + + Tomato Timer + + + + + Pomodoro Tracker + + + + + Our Product + + + + + + Low Functionality + + + + High Functionality + + + + High Complexity + + + + Low Complexity + + + + + Competitive Analysis of Pomodoro Timers + + + + \ No newline at end of file diff --git a/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg b/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg index 78378cee8..d58333117 100644 --- a/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg +++ b/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg @@ -1 +1,203 @@ -
uses
PomodoroTimer
+__init__(self, session_length: int, break_length: int)
+start(self) : -> None
+pause(self) : -> None
+resume(self) : -> None
+reset(self) : -> None
+is_running(self) : -> bool
WebApp
+__init__(self)
+run(self) : -> None
 \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + uses + +
+ + + + + + + + + + + +
+ +
+ + +
+ PomodoroTimer +
+ + +
+ +__init__(self, session_length: int, break_length: int) +
+ + +
+ +start(self) : -> None +
+ + +
+ +pause(self) : -> None +
+ + +
+ +resume(self) : -> None +
+ + +
+ +reset(self) : -> None +
+ + +
+ +is_running(self) : -> bool +
+ + + + + + + + + +
+ +
+ + +
+ WebApp +
+ + +
+ +__init__(self) +
+ + +
+ +run(self) : -> None +
+ + + + + + + \ No newline at end of file diff --git a/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg b/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg index cc5926374..50f75d8b7 100644 --- a/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg +++ b/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg @@ -1 +1,219 @@ -UserWebAppPomodoroTimerCountdown beginsCountdown pausedCountdown resumesCountdown resetAccess web appDisplay index.htmlSet session and break lengths__init__(session_length, break_length)Click "Start" buttonstart()Click "Pause" buttonpause()Click "Resume" buttonresume()Click "Reset" buttonreset()Access help pageDisplay help.htmlUserWebAppPomodoroTimer \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + User + + + + + + + + + WebApp + + + + + + + + + PomodoroTimer + + + + + + + + + + + + + + + + + + + + + + + + + + + Countdown begins + + + + + + Countdown paused + + + + + + Countdown resumes + + + + + + Countdown reset + + + Access web app + + + Display index.html + + + Set session and break lengths + + + __init__(session_length, break_length) + + + Click "Start" button + + + start() + + + Click "Pause" button + + + pause() + + + Click "Resume" button + + + resume() + + + Click "Reset" button + + + reset() + + + Access help page + + + Display help.html + + + + + + User + + + + + + WebApp + + + + + + PomodoroTimer + + + \ No newline at end of file diff --git a/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg b/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg index 14d378ed6..7c284f60b 100644 --- a/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg +++ b/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg @@ -1 +1,128 @@ -Reach and Engagement of Roguelike GamesExpand and improvePromote and maintainRe-evaluate and iterateImprove and innovateOur Target ProductDwarf Fortress Adventure ModeADOMTales of Maj'EyalCaves of QudBrogueDungeon Crawl Stone SoupNetHackLow ReachHigh ReachLow EngagementHigh EngagementReach and Engagement of Roguelike Games \ No newline at end of file + + Reach and Engagement of Roguelike Games + + + + + + + Expand and improve + + + + + Promote and maintain + + + + + Re-evaluate and iterate + + + + + Improve and innovate + + + + + + + + + + + + + + + Our Target Product + + + + + Dwarf Fortress Adventure Mode + + + + + ADOM + + + + + Tales of Maj'Eyal + + + + + Caves of Qud + + + + + Brogue + + + + + Dungeon Crawl Stone Soup + + + + + NetHack + + + + + + Low Reach + + + + High Reach + + + + Low Engagement + + + + High Engagement + + + + + Reach and Engagement of Roguelike Games + + + + \ No newline at end of file diff --git a/docs/resources/workspace/pyrogue/resources/data_api_design.svg b/docs/resources/workspace/pyrogue/resources/data_api_design.svg index 1558d388b..dc4ccc940 100644 --- a/docs/resources/workspace/pyrogue/resources/data_api_design.svg +++ b/docs/resources/workspace/pyrogue/resources/data_api_design.svg @@ -1 +1,747 @@ -
Game
+__init__(self, player: Player, level: Level, ui: UI, audio: Audio)
+run(self)
+handle_input(self, key: tcod.Key)
+update(self)
+render(self)
Level
+__init__(self, width: int, height: int)
+generate(self, algorithm: str)
+get_tile(self, x: int, y: int) : -> Tile
+spawn_entity(self, entity: Entity)
+remove_entity(self, entity: Entity)
Entity
+__init__(self, x: int, y: int, char: str, color: Tuple[int, int, int])
+move(self, dx: int, dy: int)
+interact(self, other: Entity)
Player
+__init__(self, character_class: CharacterClass)
+gain_experience(self, amount: int)
+level_up(self)
CharacterClass
+__init__(self, name: str, abilities: List[str])
+use_ability(self, ability: str, target: Entity)
Enemy
+__init__(self, ai: Callable)
+take_turn(self)
Item
+__init__(self, effect: Callable)
+use(self, target: Entity)
Trap
+__init__(self, effect: Callable)
+trigger(self, target: Entity)
UI
+__init__(self, width: int, height: int)
+draw(self, game: Game)
+show_message(self, message: str, color: Tuple[int, int, int])
Audio
+__init__(self)
+play_sound(self, sound: str)
+play_music(self, music: str)
SaveLoad
+__init__(self)
+save_game(self, game: Game, filename: str)
+load_game(self, filename: str) : -> Game
Tutorial
+__init__(self)
+show_help(self, game: Game)
Callable
 \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + + + + + + +
+ +
+ + +
+ Game +
+ + +
+ +__init__(self, player: Player, level: Level, ui: UI, audio: + Audio) + +
+ + +
+ +run(self) +
+ + +
+ +handle_input(self, key: tcod.Key) +
+ + +
+ +update(self) +
+ + +
+ +render(self) +
+ + + + + + + + + +
+ +
+ + +
+ Level +
+ + +
+ +__init__(self, width: int, height: int) +
+ + +
+ +generate(self, algorithm: str) +
+ + +
+ +get_tile(self, x: int, y: int) : -> Tile +
+ + +
+ +spawn_entity(self, entity: Entity) +
+ + +
+ +remove_entity(self, entity: Entity) +
+ + + + + + + + + +
+ +
+ + +
+ Entity +
+ + +
+ +__init__(self, x: int, y: int, char: str, color: Tuple[int, + int, int]) + +
+ + +
+ +move(self, dx: int, dy: int) +
+ + +
+ +interact(self, other: Entity) +
+ + + + + + + + + +
+ +
+ + +
+ Player +
+ + +
+ +__init__(self, character_class: CharacterClass) +
+ + +
+ +gain_experience(self, amount: int) +
+ + +
+ +level_up(self) +
+ + + + + + + + + +
+ +
+ + +
+ CharacterClass +
+ + +
+ +__init__(self, name: str, abilities: List[str]) +
+ + +
+ +use_ability(self, ability: str, target: Entity) +
+ + + + + + + + + +
+ +
+ + +
+ Enemy +
+ + +
+ +__init__(self, ai: Callable) +
+ + +
+ +take_turn(self) +
+ + + + + + + + + +
+ +
+ + +
+ Item +
+ + +
+ +__init__(self, effect: Callable) +
+ + +
+ +use(self, target: Entity) +
+ + + + + + + + + +
+ +
+ + +
+ Trap +
+ + +
+ +__init__(self, effect: Callable) +
+ + +
+ +trigger(self, target: Entity) +
+ + + + + + + + + +
+ +
+ + +
+ UI +
+ + +
+ +__init__(self, width: int, height: int) +
+ + +
+ +draw(self, game: Game) +
+ + +
+ +show_message(self, message: str, color: Tuple[int, int, int]) + +
+ + + + + + + + + +
+ +
+ + +
+ Audio +
+ + +
+ +__init__(self) +
+ + +
+ +play_sound(self, sound: str) +
+ + +
+ +play_music(self, music: str) +
+ + + + + + + + + +
+ +
+ + +
+ SaveLoad +
+ + +
+ +__init__(self) +
+ + +
+ +save_game(self, game: Game, filename: str) +
+ + +
+ +load_game(self, filename: str) : -> Game +
+ + + + + + + + + +
+ +
+ + +
+ Tutorial +
+ + +
+ +__init__(self) +
+ + +
+ +show_help(self, game: Game) +
+ + + + + + + + + +
+ +
+ + +
+ Callable +
+ + + + + + + \ No newline at end of file diff --git a/docs/resources/workspace/pyrogue/resources/seq_flow.svg b/docs/resources/workspace/pyrogue/resources/seq_flow.svg index 7b4400ed6..a389ade4b 100644 --- a/docs/resources/workspace/pyrogue/resources/seq_flow.svg +++ b/docs/resources/workspace/pyrogue/resources/seq_flow.svg @@ -1 +1,354 @@ -GamePlayerLevelEntityCharacterClassUIAudioSaveLoadTutorialloop[GameLoop]__init__(character_class)__init__(width, height)__init__(width, height)__init__()__init__()__init__()handle_input(key)update()render()use_ability(ability, target)move(dx, dy)interact(other)generate(algorithm)get_tile(x, y)spawn_entity(entity)remove_entity(entity)draw(game)show_message(message, color)play_sound(sound)play_music(music)save_game(game, filename)load_game(filename)show_help(game)GamePlayerLevelEntityCharacterClassUIAudioSaveLoadTutorial \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + Game + + + + + + + + + Player + + + + + + + + + Level + + + + + + + + + Entity + + + + + + + + + CharacterClass + + + + + + + + + UI + + + + + + + + + Audio + + + + + + + + + SaveLoad + + + + + + + + + Tutorial + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + loop + + + [Game + + + Loop] + + + __init__(character_class) + + + __init__(width, height) + + + __init__(width, height) + + + __init__() + + + __init__() + + + __init__() + + + handle_input(key) + + + update() + + + render() + + + use_ability(ability, target) + + + move(dx, dy) + + + interact(other) + + + generate(algorithm) + + + get_tile(x, y) + + + spawn_entity(entity) + + + remove_entity(entity) + + + draw(game) + + + show_message(message, color) + + + play_sound(sound) + + + play_music(music) + + + save_game(game, filename) + + + load_game(filename) + + + show_help(game) + + + + + + Game + + + + + + Player + + + + + + Level + + + + + + Entity + + + + + + CharacterClass + + + + + + UI + + + + + + Audio + + + + + + SaveLoad + + + + + + Tutorial + + + \ No newline at end of file diff --git a/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg b/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg index 3348a097c..0c6c0398c 100644 --- a/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg +++ b/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg @@ -1 +1,128 @@ -Search Algorithm Frameworks: Accuracy vs SpeedHigh potential for improvementFast but less accurateSlow and less accurateFast and accurateOur Target ProductAlgoliaSolrElasticsearchDuckDuckGoBaiduBingGoogle SearchLow AccuracyHigh AccuracySlow SpeedFast SpeedSearch Algorithm Frameworks: Accuracy vs Speed \ No newline at end of file + + Search Algorithm Frameworks: Accuracy vs Speed + + + + + + + High potential for improvement + + + + + Fast but less accurate + + + + + Slow and less accurate + + + + + Fast and accurate + + + + + + + + + + + + + + + Our Target Product + + + + + Algolia + + + + + Solr + + + + + Elasticsearch + + + + + DuckDuckGo + + + + + Baidu + + + + + Bing + + + + + Google Search + + + + + + Low Accuracy + + + + High Accuracy + + + + Slow Speed + + + + Fast Speed + + + + + Search Algorithm Frameworks: Accuracy vs Speed + + + + \ No newline at end of file diff --git a/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg b/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg index 2443dacc5..a3939f0fb 100644 --- a/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg +++ b/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg @@ -1 +1,515 @@ -
SearchAPI
+search(query: str) : -> List[SearchResult]
+update_document(document: Document) : -> bool
+delete_document(document_id: str) : -> bool
+add_document(document: Document) : -> bool
Document
+__init__(document_id: str, title: str, content: str, language: str)
SearchResult
+__init__(document_id: str, title: str, score: float)
QueryUnderstanding
+process_query(query: str) : -> List[str]
Recall
+get_candidates(query_terms: List[str]) : -> List[Document]
Ranking
+rank_documents(query_terms: List[str], candidates: List[Document]) : -> List[SearchResult]
Indexing
+index_document(document: Document) : -> bool
+update_document(document: Document) : -> bool
+delete_document(document_id: str) : -> bool
UserFeedback
+submit_feedback(feedback: Feedback) : -> bool
Feedback
+__init__(user_id: str, query: str, document_id: str, rating: int)
MachineLearning
+train_model(feedback_data: List[Feedback]) : -> bool
+predict_ranking(query_terms: List[str], candidates: List[Document]) : -> List[float]
Utils
+normalize_text(text: str) : -> str
 \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + +
+ +
+ + + + + + + + + + + +
+ +
+ + +
+ SearchAPI +
+ + +
+ +search(query: str) : -> List[SearchResult] +
+ + +
+ +update_document(document: Document) : -> bool +
+ + +
+ +delete_document(document_id: str) : -> bool +
+ + +
+ +add_document(document: Document) : -> bool +
+ + + + + + + + + +
+ +
+ + +
+ Document +
+ + +
+ +__init__(document_id: str, title: str, content: str, language: + str) + +
+ + + + + + + + + +
+ +
+ + +
+ SearchResult +
+ + +
+ +__init__(document_id: str, title: str, score: float) +
+ + + + + + + + + +
+ +
+ + +
+ QueryUnderstanding +
+ + +
+ +process_query(query: str) : -> List[str] +
+ + + + + + + + + +
+ +
+ + +
+ Recall +
+ + +
+ +get_candidates(query_terms: List[str]) : -> List[Document] + +
+ + + + + + + + + +
+ +
+ + +
+ Ranking +
+ + +
+ +rank_documents(query_terms: List[str], candidates: + List[Document]) : -> List[SearchResult] + +
+ + + + + + + + + +
+ +
+ + +
+ Indexing +
+ + +
+ +index_document(document: Document) : -> bool +
+ + +
+ +update_document(document: Document) : -> bool +
+ + +
+ +delete_document(document_id: str) : -> bool +
+ + + + + + + + + +
+ +
+ + +
+ UserFeedback +
+ + +
+ +submit_feedback(feedback: Feedback) : -> bool +
+ + + + + + + + + +
+ +
+ + +
+ Feedback +
+ + +
+ +__init__(user_id: str, query: str, document_id: str, rating: + int) + +
+ + + + + + + + + +
+ +
+ + +
+ MachineLearning +
+ + +
+ +train_model(feedback_data: List[Feedback]) : -> bool +
+ + +
+ +predict_ranking(query_terms: List[str], candidates: + List[Document]) : -> List[float] + +
+ + + + + + + + + +
+ +
+ + +
+ Utils +
+ + +
+ +normalize_text(text: str) : -> str +
+ + + + + + + \ No newline at end of file diff --git a/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg b/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg index 19e39db28..4053034e6 100644 --- a/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg +++ b/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg @@ -1 +1,321 @@ -UserSearchAPIQueryUnderstandingRecallRankingMachineLearningUserFeedbackIndexingsearch(query)process_query(query)query_termsget_candidates(query_terms)candidatesrank_documents(query_terms, candidates)predict_ranking(query_terms, candidates)scoressearch_resultssearch_resultssubmit_feedback(feedback)submit_feedback(feedback)feedback_statusfeedback_statusupdate_document(document)update_document(document)update_statusdelete_document(document_id)delete_document(document_id)delete_statusadd_document(document)index_document(document)index_statusUserSearchAPIQueryUnderstandingRecallRankingMachineLearningUserFeedbackIndexing \ No newline at end of file + + + + + + + + + + + + + + + + + + + + + + + + User + + + + + + + + + SearchAPI + + + + + + + + + QueryUnderstanding + + + + + + + + + Recall + + + + + + + + + Ranking + + + + + + + + + MachineLearning + + + + + + + + + UserFeedback + + + + + + + + + Indexing + + + + + + + + + + + + + + + + + + + + + + + + search(query) + + + process_query(query) + + + query_terms + + + get_candidates(query_terms) + + + candidates + + + rank_documents(query_terms, candidates) + + + predict_ranking(query_terms, candidates) + + + scores + + + search_results + + + search_results + + + submit_feedback(feedback) + + + submit_feedback(feedback) + + + feedback_status + + + feedback_status + + + update_document(document) + + + update_document(document) + + + update_status + + + delete_document(document_id) + + + delete_document(document_id) + + + delete_status + + + add_document(document) + + + index_document(document) + + + index_status + + + + + + User + + + + + + SearchAPI + + + + + + QueryUnderstanding + + + + + + Recall + + + + + + Ranking + + + + + + MachineLearning + + + + + + UserFeedback + + + + + + Indexing + + + \ No newline at end of file diff --git a/examples/agent_creator.py b/examples/agent_creator.py index e03a88c6b..9131fc5ef 100644 --- a/examples/agent_creator.py +++ b/examples/agent_creator.py @@ -5,18 +5,18 @@ Author: garylin2099 ''' import re -from metagpt.const import PROJECT_ROOT, WORKSPACE_ROOT from metagpt.actions import Action +from metagpt.const import PROJECT_ROOT, WORKSPACE_ROOT +from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Message -from metagpt.logs import logger with open(PROJECT_ROOT / "examples/build_customized_agent.py", "r") as f: # use official example script to guide AgentCreator MULTI_ACTION_AGENT_CODE_EXAMPLE = f.read() -class CreateAgent(Action): +class CreateAgent(Action): PROMPT_TEMPLATE = """ ### BACKGROUND You are using an agent framework called metagpt to write agents capable of different actions, @@ -34,7 +34,6 @@ class CreateAgent(Action): """ async def run(self, example: str, instruction: str): - prompt = self.PROMPT_TEMPLATE.format(example=example, instruction=instruction) # logger.info(prompt) @@ -53,13 +52,14 @@ class CreateAgent(Action): f.write(code_text) return code_text + class AgentCreator(Role): def __init__( - self, - name: str = "Matrix", - profile: str = "AgentCreator", - agent_template: str = MULTI_ACTION_AGENT_CODE_EXAMPLE, - **kwargs, + self, + name: str = "Matrix", + profile: str = "AgentCreator", + agent_template: str = MULTI_ACTION_AGENT_CODE_EXAMPLE, + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([CreateAgent]) @@ -76,11 +76,12 @@ class AgentCreator(Role): return msg + if __name__ == "__main__": import asyncio - async def main(): + async def main(): agent_template = MULTI_ACTION_AGENT_CODE_EXAMPLE creator = AgentCreator(agent_template=agent_template) @@ -97,4 +98,5 @@ if __name__ == "__main__": """ await creator.run(msg) + asyncio.run(main()) diff --git a/examples/build_customized_agent.py b/examples/build_customized_agent.py index 87d7a9c76..b9e27608b 100644 --- a/examples/build_customized_agent.py +++ b/examples/build_customized_agent.py @@ -3,19 +3,19 @@ Filename: MetaGPT/examples/build_customized_agent.py Created Date: Tuesday, September 19th 2023, 6:52:25 pm Author: garylin2099 ''' +import asyncio import re import subprocess -import asyncio import fire from metagpt.actions import Action +from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Message -from metagpt.logs import logger + class SimpleWriteCode(Action): - PROMPT_TEMPLATE = """ Write a python function that can {instruction} and provide two runnnable test cases. Return ```python your_code_here ``` with NO other texts, @@ -35,7 +35,6 @@ class SimpleWriteCode(Action): super().__init__(name, context, llm) async def run(self, instruction: str): - prompt = self.PROMPT_TEMPLATE.format(instruction=instruction) rsp = await self._aask(prompt) @@ -51,6 +50,7 @@ class SimpleWriteCode(Action): code_text = match.group(1) if match else rsp return code_text + class SimpleRunCode(Action): def __init__(self, name="SimpleRunCode", context=None, llm=None): super().__init__(name, context, llm) @@ -61,12 +61,13 @@ class SimpleRunCode(Action): logger.info(f"{code_result=}") return code_result + class SimpleCoder(Role): def __init__( - self, - name: str = "Alice", - profile: str = "SimpleCoder", - **kwargs, + self, + name: str = "Alice", + profile: str = "SimpleCoder", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([SimpleWriteCode]) @@ -75,7 +76,7 @@ class SimpleCoder(Role): logger.info(f"{self._setting}: ready to {self._rc.todo}") todo = self._rc.todo - msg = self._rc.memory.get()[-1] # retrieve the latest memory + msg = self._rc.memory.get()[-1] # retrieve the latest memory instruction = msg.content code_text = await SimpleWriteCode().run(instruction) @@ -83,12 +84,13 @@ class SimpleCoder(Role): return msg + class RunnableCoder(Role): def __init__( - self, - name: str = "Alice", - profile: str = "RunnableCoder", - **kwargs, + self, + name: str = "Alice", + profile: str = "RunnableCoder", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([SimpleWriteCode, SimpleRunCode]) @@ -128,6 +130,7 @@ class RunnableCoder(Role): await self._act() return Message(content="All job done", role=self.profile) + def main(msg="write a function that calculates the sum of a list"): # role = SimpleCoder() role = RunnableCoder() @@ -135,5 +138,6 @@ def main(msg="write a function that calculates the sum of a list"): result = asyncio.run(role.run(msg)) logger.info(result) + if __name__ == '__main__': fire.Fire(main) diff --git a/examples/debate.py b/examples/debate.py index 05db28070..d0b9fecd8 100644 --- a/examples/debate.py +++ b/examples/debate.py @@ -5,13 +5,15 @@ Author: garylin2099 ''' import asyncio import platform + import fire -from metagpt.software_company import SoftwareCompany from metagpt.actions import Action, BossRequirement +from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Message -from metagpt.logs import logger +from metagpt.software_company import SoftwareCompany + class ShoutOut(Action): """Action: Shout out loudly in a debate (quarrel)""" @@ -31,7 +33,6 @@ class ShoutOut(Action): super().__init__(name, context, llm) async def run(self, context: str, name: str, opponent_name: str): - prompt = self.PROMPT_TEMPLATE.format(context=context, name=name, opponent_name=opponent_name) # logger.info(prompt) @@ -39,12 +40,13 @@ class ShoutOut(Action): return rsp + class Trump(Role): def __init__( - self, - name: str = "Trump", - profile: str = "Republican", - **kwargs, + self, + name: str = "Trump", + profile: str = "Republican", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([ShoutOut]) @@ -55,7 +57,7 @@ class Trump(Role): async def _observe(self) -> int: await super()._observe() # accept messages sent (from opponent) to self, disregard own messages from the last round - self._rc.news = [msg for msg in self._rc.news if msg.send_to == self.name] + self._rc.news = [msg for msg in self._rc.news if msg.send_to == self.name] return len(self._rc.news) async def _act(self) -> Message: @@ -79,12 +81,13 @@ class Trump(Role): return msg + class Biden(Role): def __init__( - self, - name: str = "Biden", - profile: str = "Democrat", - **kwargs, + self, + name: str = "Biden", + profile: str = "Democrat", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([ShoutOut]) @@ -120,6 +123,7 @@ class Biden(Role): return msg + async def startup(idea: str, investment: float = 3.0, n_round: int = 5, code_review: bool = False, run_tests: bool = False): """We reuse the startup paradigm for roles to interact with each other. diff --git a/examples/search_with_specific_engine.py b/examples/search_with_specific_engine.py index 7cc431cd4..9309e18bd 100644 --- a/examples/search_with_specific_engine.py +++ b/examples/search_with_specific_engine.py @@ -6,11 +6,12 @@ from metagpt.tools import SearchEngineType async def main(): # Serper API - #await Searcher(engine = SearchEngineType.SERPER_GOOGLE).run(["What are some good sun protection products?","What are some of the best beaches?"]) + # await Searcher(engine = SearchEngineType.SERPER_GOOGLE).run(["What are some good sun protection products?","What are some of the best beaches?"]) # SerpAPI - #await Searcher(engine=SearchEngineType.SERPAPI_GOOGLE).run("What are the best ski brands for skiers?") + # await Searcher(engine=SearchEngineType.SERPAPI_GOOGLE).run("What are the best ski brands for skiers?") # Google API await Searcher(engine=SearchEngineType.DIRECT_GOOGLE).run("What are the most interesting human facts?") + if __name__ == '__main__': asyncio.run(main()) diff --git a/examples/sk_agent.py b/examples/sk_agent.py index a7513e838..5236ed8ce 100644 --- a/examples/sk_agent.py +++ b/examples/sk_agent.py @@ -9,7 +9,6 @@ import asyncio from semantic_kernel.core_skills import FileIOSkill, MathSkill, TextSkill, TimeSkill from semantic_kernel.planning import SequentialPlanner - # from semantic_kernel.planning import SequentialPlanner from semantic_kernel.planning.action_planner.action_planner import ActionPlanner diff --git a/examples/use_off_the_shelf_agent.py b/examples/use_off_the_shelf_agent.py index 2e10068bd..0debcf780 100644 --- a/examples/use_off_the_shelf_agent.py +++ b/examples/use_off_the_shelf_agent.py @@ -5,8 +5,9 @@ Author: garylin2099 ''' import asyncio -from metagpt.roles.product_manager import ProductManager from metagpt.logs import logger +from metagpt.roles.product_manager import ProductManager + async def main(): msg = "Write a PRD for a snake game" @@ -14,5 +15,6 @@ async def main(): result = await role.run(msg) logger.info(result.content[:100]) + if __name__ == '__main__': asyncio.run(main()) diff --git a/examples/write_tutorial.py b/examples/write_tutorial.py index 71ece5527..73a9c71b7 100644 --- a/examples/write_tutorial.py +++ b/examples/write_tutorial.py @@ -18,4 +18,3 @@ async def main(): if __name__ == '__main__': asyncio.run(main()) - diff --git a/metagpt/_compat.py b/metagpt/_compat.py index c442bd7de..30abcde2f 100644 --- a/metagpt/_compat.py +++ b/metagpt/_compat.py @@ -8,12 +8,14 @@ if sys.implementation.name == "cpython" and platform.system() == "Windows": if sys.version_info[:2] == (3, 9): from asyncio.proactor_events import _ProactorBasePipeTransport + # https://github.com/python/cpython/pull/92842 def pacth_del(self, _warn=warnings.warn): if self._sock is not None: _warn(f"unclosed transport {self!r}", ResourceWarning, source=self) self._sock.close() + _ProactorBasePipeTransport.__del__ = pacth_del if sys.version_info >= (3, 9, 0): diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py index 790295d55..0ae7b148b 100644 --- a/metagpt/actions/action.py +++ b/metagpt/actions/action.py @@ -51,12 +51,12 @@ class Action(ABC): @retry(stop=stop_after_attempt(3), wait=wait_fixed(1)) async def _aask_v1( - self, - prompt: str, - output_class_name: str, - output_data_mapping: dict, - system_msgs: Optional[list[str]] = None, - format="markdown", # compatible to original format + self, + prompt: str, + output_class_name: str, + output_data_mapping: dict, + system_msgs: Optional[list[str]] = None, + format="markdown", # compatible to original format ) -> ActionOutput: """Append default prefix""" if not system_msgs: diff --git a/metagpt/actions/action_output.py b/metagpt/actions/action_output.py index ea7f4fb80..c0b88dcf9 100644 --- a/metagpt/actions/action_output.py +++ b/metagpt/actions/action_output.py @@ -40,4 +40,3 @@ class ActionOutput: new_class.__validator_check_name = classmethod(check_name) new_class.__root_validator_check_missing_fields = classmethod(check_missing_fields) return new_class - \ No newline at end of file diff --git a/metagpt/actions/add_requirement.py b/metagpt/actions/add_requirement.py index 7dc09d062..16e14b3a4 100644 --- a/metagpt/actions/add_requirement.py +++ b/metagpt/actions/add_requirement.py @@ -10,5 +10,6 @@ from metagpt.actions import Action class BossRequirement(Action): """Boss Requirement without any implementation details""" + async def run(self, *args, **kwargs): raise NotImplementedError diff --git a/metagpt/actions/clone_function.py b/metagpt/actions/clone_function.py index cf7d22f04..7529a60c7 100644 --- a/metagpt/actions/clone_function.py +++ b/metagpt/actions/clone_function.py @@ -1,5 +1,5 @@ -from pathlib import Path import traceback +from pathlib import Path from metagpt.actions.write_code import WriteCode from metagpt.logs import logger diff --git a/metagpt/actions/debug_error.py b/metagpt/actions/debug_error.py index d69a22dba..304b1bc3e 100644 --- a/metagpt/actions/debug_error.py +++ b/metagpt/actions/debug_error.py @@ -7,8 +7,8 @@ """ import re -from metagpt.logs import logger from metagpt.actions.action import Action +from metagpt.logs import logger from metagpt.utils.common import CodeParser PROMPT_TEMPLATE = """ @@ -24,6 +24,8 @@ The message is as follows: Now you should start rewriting the code: ## file name of the code to rewrite: Write code with triple quoto. Do your best to implement THIS IN ONLY ONE FILE. """ + + class DebugError(Action): def __init__(self, name="DebugError", context=None, llm=None): super().__init__(name, context, llm) @@ -33,17 +35,17 @@ class DebugError(Action): # f"\n\n{error}\n\nPlease try to fix the error in this code." # fixed_code = await self._aask(prompt) # return fixed_code - + async def run(self, context): if "PASS" in context: return "", "the original code works fine, no need to debug" - + file_name = re.search("## File To Rewrite:\s*(.+\\.py)", context).group(1) logger.info(f"Debug and rewrite {file_name}") prompt = PROMPT_TEMPLATE.format(context=context) - + rsp = await self._aask(prompt) code = CodeParser.parse_code(block="", text=rsp) diff --git a/metagpt/actions/design_api_review.py b/metagpt/actions/design_api_review.py index 9bb822a62..687a33652 100644 --- a/metagpt/actions/design_api_review.py +++ b/metagpt/actions/design_api_review.py @@ -19,4 +19,3 @@ class DesignReview(Action): api_review = await self._aask(prompt) return api_review - \ No newline at end of file diff --git a/metagpt/actions/design_filenames.py b/metagpt/actions/design_filenames.py index 29400e950..6c3d8e803 100644 --- a/metagpt/actions/design_filenames.py +++ b/metagpt/actions/design_filenames.py @@ -26,4 +26,3 @@ class DesignFilenames(Action): logger.debug(prompt) logger.debug(design_filenames) return design_filenames - \ No newline at end of file diff --git a/metagpt/actions/detail_mining.py b/metagpt/actions/detail_mining.py index e29d6911b..ffae26f9f 100644 --- a/metagpt/actions/detail_mining.py +++ b/metagpt/actions/detail_mining.py @@ -6,7 +6,6 @@ @File : detail_mining.py """ from metagpt.actions import Action, ActionOutput -from metagpt.logs import logger PROMPT_TEMPLATE = """ ##TOPIC @@ -43,6 +42,7 @@ OUTPUT_MAPPING = { class DetailMining(Action): """This class allows LLM to further mine noteworthy details based on specific "##TOPIC"(discussion topic) and "##RECORD" (discussion records), thereby deepening the discussion. """ + def __init__(self, name="", context=None, llm=None): super().__init__(name, context, llm) diff --git a/metagpt/actions/prepare_interview.py b/metagpt/actions/prepare_interview.py index 5db3a9f37..cbaa1d56b 100644 --- a/metagpt/actions/prepare_interview.py +++ b/metagpt/actions/prepare_interview.py @@ -27,6 +27,7 @@ Requirement: Provide a list of questions for the interviewer to ask the intervie Attention: Provide as markdown block as the format above, at least 10 questions. """ + # prepare for a interview @@ -38,4 +39,3 @@ class PrepareInterview(Action): prompt = PROMPT_TEMPLATE.format(context=context) question_list = await self._aask_v1(prompt) return question_list - diff --git a/metagpt/actions/research.py b/metagpt/actions/research.py index 49a981e86..8a5778230 100644 --- a/metagpt/actions/research.py +++ b/metagpt/actions/research.py @@ -3,7 +3,6 @@ from __future__ import annotations import asyncio -import json from typing import Callable from pydantic import parse_obj_as @@ -60,7 +59,6 @@ a comprehensive summary of the text. {content} ''' - CONDUCT_RESEARCH_PROMPT = '''### Reference Information {content} @@ -78,12 +76,13 @@ above. The report must meet the following requirements: class CollectLinks(Action): """Action class to collect links from a search engine.""" + def __init__( - self, - name: str = "", - *args, - rank_func: Callable[[list[str]], None] | None = None, - **kwargs, + self, + name: str = "", + *args, + rank_func: Callable[[list[str]], None] | None = None, + **kwargs, ): super().__init__(name, *args, **kwargs) self.desc = "Collect links from a search engine." @@ -91,11 +90,11 @@ class CollectLinks(Action): self.rank_func = rank_func async def run( - self, - topic: str, - decomposition_nums: int = 4, - url_per_query: int = 4, - system_text: str | None = None, + self, + topic: str, + decomposition_nums: int = 4, + url_per_query: int = 4, + system_text: str | None = None, ) -> dict[str, list[str]]: """Run the action to collect links. @@ -120,13 +119,16 @@ class CollectLinks(Action): def gen_msg(): while True: - search_results = "\n".join(f"#### Keyword: {i}\n Search Result: {j}\n" for (i, j) in zip(keywords, results)) - prompt = SUMMARIZE_SEARCH_PROMPT.format(decomposition_nums=decomposition_nums, search_results=search_results) + search_results = "\n".join( + f"#### Keyword: {i}\n Search Result: {j}\n" for (i, j) in zip(keywords, results)) + prompt = SUMMARIZE_SEARCH_PROMPT.format(decomposition_nums=decomposition_nums, + search_results=search_results) yield prompt remove = max(results, key=len) remove.pop() if len(remove) == 0: break + prompt = reduce_message_length(gen_msg(), self.llm.model, system_text, CONFIG.max_tokens_rsp) logger.debug(prompt) queries = await self._aask(prompt, [system_text]) @@ -172,11 +174,12 @@ class CollectLinks(Action): class WebBrowseAndSummarize(Action): """Action class to explore the web and provide summaries of articles and webpages.""" + def __init__( - self, - *args, - browse_func: Callable[[list[str]], None] | None = None, - **kwargs, + self, + *args, + browse_func: Callable[[list[str]], None] | None = None, + **kwargs, ): super().__init__(*args, **kwargs) if CONFIG.model_for_researcher_summary: @@ -188,11 +191,11 @@ class WebBrowseAndSummarize(Action): self.desc = "Explore the web and provide summaries of articles and webpages." async def run( - self, - url: str, - *urls: str, - query: str, - system_text: str = RESEARCH_BASE_SYSTEM, + self, + url: str, + *urls: str, + query: str, + system_text: str = RESEARCH_BASE_SYSTEM, ) -> dict[str, str]: """Run the action to browse the web and provide summaries. @@ -214,7 +217,8 @@ class WebBrowseAndSummarize(Action): for u, content in zip([url, *urls], contents): content = content.inner_text chunk_summaries = [] - for prompt in generate_prompt_chunk(content, prompt_template, self.llm.model, system_text, CONFIG.max_tokens_rsp): + for prompt in generate_prompt_chunk(content, prompt_template, self.llm.model, system_text, + CONFIG.max_tokens_rsp): logger.debug(prompt) summary = await self._aask(prompt, [system_text]) if summary == "Not relevant.": @@ -238,16 +242,17 @@ class WebBrowseAndSummarize(Action): class ConductResearch(Action): """Action class to conduct research and generate a research report.""" + def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) if CONFIG.model_for_researcher_report: self.llm.model = CONFIG.model_for_researcher_report async def run( - self, - topic: str, - content: str, - system_text: str = RESEARCH_BASE_SYSTEM, + self, + topic: str, + content: str, + system_text: str = RESEARCH_BASE_SYSTEM, ) -> str: """Run the action to conduct research and generate a research report. diff --git a/metagpt/actions/run_code.py b/metagpt/actions/run_code.py index f69d2cd1a..52f95d3bf 100644 --- a/metagpt/actions/run_code.py +++ b/metagpt/actions/run_code.py @@ -99,7 +99,7 @@ class RunCode(Action): return stdout.decode("utf-8"), stderr.decode("utf-8") async def run( - self, code, mode="script", code_file_name="", test_code="", test_file_name="", command=[], **kwargs + self, code, mode="script", code_file_name="", test_code="", test_file_name="", command=[], **kwargs ) -> str: logger.info(f"Running {' '.join(command)}") if mode == "script": diff --git a/metagpt/actions/search_and_summarize.py b/metagpt/actions/search_and_summarize.py index 069f2a977..a13db28d2 100644 --- a/metagpt/actions/search_and_summarize.py +++ b/metagpt/actions/search_and_summarize.py @@ -54,7 +54,6 @@ SEARCH_AND_SUMMARIZE_PROMPT = """ """ - SEARCH_AND_SUMMARIZE_SALES_SYSTEM = """## Requirements 1. Please summarize the latest dialogue based on the reference information (secondary) and dialogue history (primary). Do not include text that is irrelevant to the conversation. - The context is for reference only. If it is irrelevant to the user's search request history, please reduce its reference and usage. @@ -140,4 +139,3 @@ class SearchAndSummarize(Action): logger.debug(prompt) logger.debug(result) return result - \ No newline at end of file diff --git a/metagpt/actions/write_code.py b/metagpt/actions/write_code.py index c000805c5..8e26dd9be 100644 --- a/metagpt/actions/write_code.py +++ b/metagpt/actions/write_code.py @@ -5,13 +5,14 @@ @Author : alexanderwu @File : write_code.py """ +from tenacity import retry, stop_after_attempt, wait_fixed + from metagpt.actions import WriteDesign from metagpt.actions.action import Action from metagpt.const import WORKSPACE_ROOT from metagpt.logs import logger from metagpt.schema import Message from metagpt.utils.common import CodeParser -from tenacity import retry, stop_after_attempt, wait_fixed PROMPT_TEMPLATE = """ NOTICE @@ -79,4 +80,3 @@ class WriteCode(Action): # code_rsp = await self._aask_v1(prompt, "code_rsp", OUTPUT_MAPPING) # self._save(context, filename, code) return code - \ No newline at end of file diff --git a/metagpt/actions/write_code_review.py b/metagpt/actions/write_code_review.py index 4ff4d6cf6..6211d5e1e 100644 --- a/metagpt/actions/write_code_review.py +++ b/metagpt/actions/write_code_review.py @@ -6,11 +6,12 @@ @File : write_code_review.py """ +from tenacity import retry, stop_after_attempt, wait_fixed + from metagpt.actions.action import Action from metagpt.logs import logger from metagpt.schema import Message from metagpt.utils.common import CodeParser -from tenacity import retry, stop_after_attempt, wait_fixed PROMPT_TEMPLATE = """ NOTICE @@ -79,4 +80,3 @@ class WriteCodeReview(Action): # code_rsp = await self._aask_v1(prompt, "code_rsp", OUTPUT_MAPPING) # self._save(context, filename, code) return code - \ No newline at end of file diff --git a/metagpt/actions/write_docstring.py b/metagpt/actions/write_docstring.py index 5c7815793..a9c90ce9b 100644 --- a/metagpt/actions/write_docstring.py +++ b/metagpt/actions/write_docstring.py @@ -162,9 +162,9 @@ class WriteDocstring(Action): self.desc = "Write docstring for code." async def run( - self, code: str, - system_text: str = PYTHON_DOCSTRING_SYSTEM, - style: Literal["google", "numpy", "sphinx"] = "google", + self, code: str, + system_text: str = PYTHON_DOCSTRING_SYSTEM, + style: Literal["google", "numpy", "sphinx"] = "google", ) -> str: """Writes docstrings for the given code and system text in the specified style. @@ -202,6 +202,7 @@ def _simplify_python_code(code: str) -> None: if __name__ == "__main__": import fire + async def run(filename: str, overwrite: bool = False, style: Literal["google", "numpy", "sphinx"] = "google"): with open(filename) as f: code = f.read() @@ -211,4 +212,5 @@ if __name__ == "__main__": f.write(code) return code + fire.Fire(run) diff --git a/metagpt/actions/write_prd_review.py b/metagpt/actions/write_prd_review.py index 5c922d3bc..5ff9624c5 100644 --- a/metagpt/actions/write_prd_review.py +++ b/metagpt/actions/write_prd_review.py @@ -25,4 +25,3 @@ class WritePRDReview(Action): prompt = self.prd_review_prompt_template.format(prd=self.prd) review = await self._aask(prompt) return review - \ No newline at end of file diff --git a/metagpt/actions/write_tutorial.py b/metagpt/actions/write_tutorial.py index 23e3560e8..7bf844e43 100644 --- a/metagpt/actions/write_tutorial.py +++ b/metagpt/actions/write_tutorial.py @@ -65,4 +65,3 @@ class WriteContent(Action): """ prompt = CONTENT_PROMPT.format(topic=topic, language=self.language, directory=self.directory) return await self._aask(prompt=prompt) - diff --git a/metagpt/config.py b/metagpt/config.py index ab57ae614..95caea0d1 100644 --- a/metagpt/config.py +++ b/metagpt/config.py @@ -46,7 +46,7 @@ class Config(metaclass=Singleton): self.openai_api_key = self._get("OPENAI_API_KEY") self.anthropic_api_key = self._get("Anthropic_API_KEY") if (not self.openai_api_key or "YOUR_API_KEY" == self.openai_api_key) and ( - not self.anthropic_api_key or "YOUR_API_KEY" == self.anthropic_api_key + not self.anthropic_api_key or "YOUR_API_KEY" == self.anthropic_api_key ): raise NotConfiguredException("Set OPENAI_API_KEY or Anthropic_API_KEY first") self.openai_api_base = self._get("OPENAI_API_BASE") @@ -62,7 +62,7 @@ class Config(metaclass=Singleton): self.deployment_name = self._get("DEPLOYMENT_NAME") self.deployment_id = self._get("DEPLOYMENT_ID") - self.xinghuo_appid=self._get("XINGHUO_APPID") + self.xinghuo_appid = self._get("XINGHUO_APPID") self.xinghuo_api_secret = self._get("XINGHUO_API_SECRET") self.xinghuo_api_key = self._get("XINGHUO_API_KEY") self.domain = self._get("DOMAIN") diff --git a/metagpt/const.py b/metagpt/const.py index b8b08628e..457eba698 100644 --- a/metagpt/const.py +++ b/metagpt/const.py @@ -13,9 +13,9 @@ def get_project_root(): current_path = Path.cwd() while True: if ( - (current_path / ".git").exists() - or (current_path / ".project_root").exists() - or (current_path / ".gitignore").exists() + (current_path / ".git").exists() + or (current_path / ".project_root").exists() + or (current_path / ".gitignore").exists() ): return current_path parent_path = current_path.parent diff --git a/metagpt/document_store/base_store.py b/metagpt/document_store/base_store.py index 5d7015e8b..3969ce289 100644 --- a/metagpt/document_store/base_store.py +++ b/metagpt/document_store/base_store.py @@ -53,4 +53,3 @@ class LocalStore(BaseStore, ABC): @abstractmethod def _write(self, docs, metadatas): raise NotImplementedError - \ No newline at end of file diff --git a/metagpt/document_store/chromadb_store.py b/metagpt/document_store/chromadb_store.py index d2ecc05f6..6ec097592 100644 --- a/metagpt/document_store/chromadb_store.py +++ b/metagpt/document_store/chromadb_store.py @@ -10,6 +10,7 @@ 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): client = chromadb.Client() collection = client.create_collection(name) diff --git a/metagpt/document_store/document.py b/metagpt/document_store/document.py index e4b9473c7..85e416c65 100644 --- a/metagpt/document_store/document.py +++ b/metagpt/document_store/document.py @@ -79,4 +79,3 @@ class Document: return self._get_docs_and_metadatas_by_langchain() else: raise NotImplementedError - \ No newline at end of file diff --git a/metagpt/document_store/qdrant_store.py b/metagpt/document_store/qdrant_store.py index 98b82cf87..80016e4ad 100644 --- a/metagpt/document_store/qdrant_store.py +++ b/metagpt/document_store/qdrant_store.py @@ -38,11 +38,11 @@ class QdrantStore(BaseStore): raise Exception("please check QdrantConnection.") def create_collection( - self, - collection_name: str, - vectors_config: VectorParams, - force_recreate=False, - **kwargs, + self, + collection_name: str, + vectors_config: VectorParams, + force_recreate=False, + **kwargs, ): """ create a collection @@ -97,12 +97,12 @@ class QdrantStore(BaseStore): ) def search( - self, - collection_name: str, - query: List[float], - query_filter: Filter = None, - k=10, - return_vector=False, + self, + collection_name: str, + query: List[float], + query_filter: Filter = None, + k=10, + return_vector=False, ): """ vector search diff --git a/metagpt/inspect_module.py b/metagpt/inspect_module.py index a89ac1c5e..fcdd4f0b7 100644 --- a/metagpt/inspect_module.py +++ b/metagpt/inspect_module.py @@ -25,4 +25,4 @@ def print_classes_and_functions(module): if __name__ == '__main__': - print_classes_and_functions(metagpt) \ No newline at end of file + print_classes_and_functions(metagpt) diff --git a/metagpt/llm.py b/metagpt/llm.py index e6f815950..6a9a9132f 100644 --- a/metagpt/llm.py +++ b/metagpt/llm.py @@ -12,6 +12,7 @@ from metagpt.provider.openai_api import OpenAIGPTAPI as LLM DEFAULT_LLM = LLM() CLAUDE_LLM = Claude() + async def ai_func(prompt): """使用LLM进行QA QA with LLMs diff --git a/metagpt/logs.py b/metagpt/logs.py index b2052e9b8..0adee23ff 100644 --- a/metagpt/logs.py +++ b/metagpt/logs.py @@ -12,6 +12,7 @@ from loguru import logger as _logger from metagpt.const import PROJECT_ROOT + def define_log_level(print_level="INFO", logfile_level="DEBUG"): """调整日志级别到level之上 Adjust the log level to above level @@ -21,4 +22,5 @@ def define_log_level(print_level="INFO", logfile_level="DEBUG"): _logger.add(PROJECT_ROOT / 'logs/log.txt', level=logfile_level) return _logger + logger = define_log_level() diff --git a/metagpt/manager.py b/metagpt/manager.py index 9d238c621..e6bf77c8b 100644 --- a/metagpt/manager.py +++ b/metagpt/manager.py @@ -51,7 +51,7 @@ class Manager: # chosen_role_name = self.llm.ask(self.prompt_template.format(context)) # FIXME: 现在通过简单的字典决定流向，但之后还是应该有思考过程 - #The direction of flow is now determined by a simple dictionary, but there should still be a thought process afterwards + # The direction of flow is now determined by a simple dictionary, but there should still be a thought process afterwards next_role_profile = self.role_directions[message.role] # logger.debug(f"{next_role_profile}") for _, role in roles.items(): diff --git a/metagpt/memory/__init__.py b/metagpt/memory/__init__.py index 710930626..e65ee7642 100644 --- a/metagpt/memory/__init__.py +++ b/metagpt/memory/__init__.py @@ -6,9 +6,8 @@ @File : __init__.py """ -from metagpt.memory.memory import Memory from metagpt.memory.longterm_memory import LongTermMemory - +from metagpt.memory.memory import Memory __all__ = [ "Memory", diff --git a/metagpt/memory/longterm_memory.py b/metagpt/memory/longterm_memory.py index f8abea5f3..e0b8e68c1 100644 --- a/metagpt/memory/longterm_memory.py +++ b/metagpt/memory/longterm_memory.py @@ -68,4 +68,3 @@ class LongTermMemory(Memory): def clear(self): super(LongTermMemory, self).clear() self.memory_storage.clean() - \ No newline at end of file diff --git a/metagpt/memory/memory.py b/metagpt/memory/memory.py index c818fa707..282f5fe33 100644 --- a/metagpt/memory/memory.py +++ b/metagpt/memory/memory.py @@ -85,4 +85,3 @@ class Memory: continue rsp += self.index[action] return rsp - \ No newline at end of file diff --git a/metagpt/memory/memory_storage.py b/metagpt/memory/memory_storage.py index 302d96aa7..5cd4cac47 100644 --- a/metagpt/memory/memory_storage.py +++ b/metagpt/memory/memory_storage.py @@ -2,16 +2,16 @@ # -*- coding: utf-8 -*- # @Desc : the implement of memory storage -from typing import List from pathlib import Path +from typing import List from langchain.vectorstores.faiss import FAISS from metagpt.const import DATA_PATH, MEM_TTL +from metagpt.document_store.faiss_store import FaissStore from metagpt.logs import logger from metagpt.schema import Message from metagpt.utils.serialize import serialize_message, deserialize_message -from metagpt.document_store.faiss_store import FaissStore class MemoryStorage(FaissStore): @@ -104,4 +104,3 @@ class MemoryStorage(FaissStore): self.store = None self._initialized = False - \ No newline at end of file diff --git a/metagpt/prompts/decompose.py b/metagpt/prompts/decompose.py index ab0c360d3..4ede8b138 100644 --- a/metagpt/prompts/decompose.py +++ b/metagpt/prompts/decompose.py @@ -16,7 +16,6 @@ The requirements of the tree-structure plan are: 4. The sub-goals at the bottom level should be basic actions so that I can easily execute them in the game. """ - DECOMPOSE_USER = """USER: The goal is to {goal description}. Generate the plan according to the requirements. """ diff --git a/metagpt/prompts/generate_skill.md b/metagpt/prompts/generate_skill.md index 74948cd15..1d0a68688 100644 --- a/metagpt/prompts/generate_skill.md +++ b/metagpt/prompts/generate_skill.md @@ -66,9 +66,10 @@ # PRD return prd ``` - The main class/function is WritePRD. Then you should write: -This class is designed to generate a PRD based on input requirements. Notably, there's a template prompt with sections for product, function, goals, user scenarios, requirements, constraints, performance metrics. This template gets filled with input requirements and then queries a big language model to produce the detailed PRD. \ No newline at end of file +This class is designed to generate a PRD based on input requirements. Notably, there's a template prompt with sections +for product, function, goals, user scenarios, requirements, constraints, performance metrics. This template gets filled +with input requirements and then queries a big language model to produce the detailed PRD. \ No newline at end of file diff --git a/metagpt/prompts/sales.py b/metagpt/prompts/sales.py index a44aacafe..08e7b28f8 100644 --- a/metagpt/prompts/sales.py +++ b/metagpt/prompts/sales.py @@ -6,7 +6,6 @@ @File : sales.py """ - SALES_ASSISTANT = """You are a sales assistant helping your sales agent to determine which stage of a sales conversation should the agent move to, or stay at. Following '===' is the conversation history. Use this conversation history to make your decision. @@ -29,7 +28,6 @@ The answer needs to be one number only, no words. If there is no conversation history, output 1. Do not answer anything else nor add anything to you answer.""" - SALES = """Never forget your name is {salesperson_name}. You work as a {salesperson_role}. You work at company named {company_name}. {company_name}'s business is the following: {company_business} Company values are the following. {company_values} @@ -54,10 +52,11 @@ Conversation history: {salesperson_name}: """ -conversation_stages = {'1' : "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.", -'2': "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.", -'3': "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.", -'4': "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.", -'5': "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.", -'6': "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.", -'7': "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits."} +conversation_stages = { + '1': "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.", + '2': "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.", + '3': "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.", + '4': "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.", + '5': "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.", + '6': "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.", + '7': "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits."} diff --git a/metagpt/prompts/summarize.py b/metagpt/prompts/summarize.py index 42d34b8a5..bd5d69558 100644 --- a/metagpt/prompts/summarize.py +++ b/metagpt/prompts/summarize.py @@ -20,7 +20,6 @@ summary. Pick a suitable emoji for every bullet point. Your response should be i a YouTube video, use the following text: {{CONTENT}}. """ - # GCP-VertexAI-Text Summarization (SUMMARIZE_PROMPT_2-5 are from this source) # https://github.com/GoogleCloudPlatform/generative-ai/blob/main/language/examples/prompt-design/text_summarization.ipynb # Long documents require a map-reduce process, see the following notebook @@ -39,7 +38,6 @@ Summary: """ - SUMMARIZE_PROMPT_3 = """ Provide a TL;DR for the following article: @@ -53,7 +51,6 @@ Instead of computing on the individual qubits themselves, we will then compute o TL;DR: """ - SUMMARIZE_PROMPT_4 = """ Provide a very short summary in four bullet points for the following article: @@ -68,7 +65,6 @@ Bulletpoints: """ - SUMMARIZE_PROMPT_5 = """ Please generate a summary of the following conversation and at the end summarize the to-do's for the support Agent: diff --git a/metagpt/prompts/tutorial_assistant.py b/metagpt/prompts/tutorial_assistant.py index d690aad83..fe31e5f2a 100644 --- a/metagpt/prompts/tutorial_assistant.py +++ b/metagpt/prompts/tutorial_assistant.py @@ -36,4 +36,4 @@ Strictly limit output according to the following requirements: 3. The output must be strictly in the specified language, {language}. 4. Do not have redundant output, including concluding remarks. 5. Strict requirement not to output the topic "{topic}". -""" \ No newline at end of file +""" diff --git a/metagpt/prompts/use_lib_sop.py b/metagpt/prompts/use_lib_sop.py index b43ed5125..edebbe9c7 100644 --- a/metagpt/prompts/use_lib_sop.py +++ b/metagpt/prompts/use_lib_sop.py @@ -73,7 +73,6 @@ The action_list can contain arbitrary number of actions. The args of each action 6. I will execute your code step by step and give you feedback. If some action fails, I will stop at that action and will not execute its following actions. The feedback will include error messages about the failed action. At that time, you should replan and write the new code just starting from that failed action. """ - SOP_USER = """USER: My current state: - inventory: {inventory} diff --git a/metagpt/provider/__init__.py b/metagpt/provider/__init__.py index 56dc19b4b..8c64cd4e1 100644 --- a/metagpt/provider/__init__.py +++ b/metagpt/provider/__init__.py @@ -8,5 +8,4 @@ from metagpt.provider.openai_api import OpenAIGPTAPI - __all__ = ["OpenAIGPTAPI"] diff --git a/metagpt/provider/anthropic_api.py b/metagpt/provider/anthropic_api.py index 7293e2cde..03802a716 100644 --- a/metagpt/provider/anthropic_api.py +++ b/metagpt/provider/anthropic_api.py @@ -32,4 +32,3 @@ class Claude2: max_tokens_to_sample=1000, ) return res.completion - \ No newline at end of file diff --git a/metagpt/provider/base_chatbot.py b/metagpt/provider/base_chatbot.py index abdf423f4..a960d1c05 100644 --- a/metagpt/provider/base_chatbot.py +++ b/metagpt/provider/base_chatbot.py @@ -25,4 +25,3 @@ class BaseChatbot(ABC): @abstractmethod def ask_code(self, msgs: list) -> str: """Ask GPT multiple questions and get a piece of code""" - \ No newline at end of file diff --git a/metagpt/provider/base_gpt_api.py b/metagpt/provider/base_gpt_api.py index de61167b9..f39e708eb 100644 --- a/metagpt/provider/base_gpt_api.py +++ b/metagpt/provider/base_gpt_api.py @@ -115,4 +115,3 @@ class BaseGPTAPI(BaseChatbot): def messages_to_dict(self, messages): """objects to [{"role": "user", "content": msg}] etc.""" return [i.to_dict() for i in messages] - \ No newline at end of file diff --git a/metagpt/provider/openai_api.py b/metagpt/provider/openai_api.py index 7e865f288..6b2c2941d 100644 --- a/metagpt/provider/openai_api.py +++ b/metagpt/provider/openai_api.py @@ -41,7 +41,7 @@ class RateLimiter: self.rpm = rpm def split_batches(self, batch): - return [batch[i : i + self.rpm] for i in range(0, len(batch), self.rpm)] + return [batch[i: i + self.rpm] for i in range(0, len(batch), self.rpm)] async def wait_if_needed(self, num_requests): current_time = time.time() @@ -83,8 +83,9 @@ class CostManager(metaclass=Singleton): self.total_prompt_tokens += prompt_tokens self.total_completion_tokens += completion_tokens cost = ( - prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model]["completion"] - ) / 1000 + prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model][ + "completion"] + ) / 1000 self.total_cost += cost logger.info( f"Total running cost: ${self.total_cost:.3f} | Max budget: ${CONFIG.max_budget:.3f} | " diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py index db50771d4..f03d7e7d6 100644 --- a/metagpt/provider/spark_api.py +++ b/metagpt/provider/spark_api.py @@ -12,43 +12,59 @@ import hashlib import hmac import json import ssl -from collections import OrderedDict -import datetime from time import mktime +from typing import Optional from urllib.parse import urlencode from urllib.parse import urlparse from wsgiref.handlers import format_date_time + import websocket # 使用websocket_client -import websockets -from websockets.legacy.server import WebSocketServerProtocol from metagpt.config import CONFIG from metagpt.logs import logger from metagpt.provider.base_gpt_api import BaseGPTAPI - - class SparkAPI(BaseGPTAPI): + def __init__(self): + 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。') + + def ask(self, msg: str) -> str: + message = [self._default_system_msg(), self._user_msg(msg)] + rsp = self.completion(message) + return rsp + + async def aask(self, msg: str, system_msgs: Optional[list[str]] = None) -> str: + if system_msgs: + message = self._system_msgs(system_msgs) + [self._user_msg(msg)] + else: + message = [self._default_system_msg(), self._user_msg(msg)] + rsp = await self.acompletion(message) + logger.debug(message) + return rsp + 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) -> str: - #尚未实现 - pass + # 不支持 + logger.error('该功能禁用。') + w = GetMessageFromWeb(messages) + return w.run() async def acompletion(self, messages: list[dict]): - # 尚未实现 + # 不支持异步 w = GetMessageFromWeb(messages) - return await w.arun() + return w.run() def completion(self, messages: list[dict]): - w= GetMessageFromWeb(messages) + w = GetMessageFromWeb(messages) return w.run() class GetMessageFromWeb: - class WsParam(object): + class WsParam: """ 该类适合讯飞星火大部分接口的调用。 输入 app_id, api_key, api_secret, spark_url以初始化， @@ -97,9 +113,9 @@ class GetMessageFromWeb: # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致 return url - def __init__(self,text): + def __init__(self, text): self.text = text - self.ret =None + self.ret = '' self.xinghuo_appid = CONFIG.xinghuo_appid self.xinghuo_api_secret = CONFIG.xinghuo_api_secret self.xinghuo_api_key = CONFIG.xinghuo_api_key @@ -107,7 +123,6 @@ class GetMessageFromWeb: self.spark_url = CONFIG.spark_url def on_message(self, ws, message): - logger.info(message) data = json.loads(message) code = data['header']['code'] @@ -120,9 +135,9 @@ class GetMessageFromWeb: seq = choices["seq"] # 服务端是流式返回，seq为返回的数据序号 status = choices["status"] # 服务端是流式返回，status用于判断信息是否传送完毕 content = choices["text"][0]["content"] # 本次接收到的回答文本 - self.ret=data - ws.close() - logger.info(f"本次通讯关闭") + self.ret += content + if status == 2: + ws.close() # 收到websocket错误的处理 def on_error(self, ws, error): @@ -132,7 +147,6 @@ class GetMessageFromWeb: # 收到websocket关闭的处理 def on_close(self, ws, one, two): pass - # print("通讯完成") # 处理请求数据 def gen_params(self): @@ -164,8 +178,6 @@ class GetMessageFromWeb: def send(self, ws, *args): data = json.dumps(self.gen_params()) - logger.info(f"开始尝试建立通讯...") - logger.info(f"此次请求的请求头数据为：{data}") ws.send(data) # 收到websocket连接建立的处理 @@ -175,6 +187,7 @@ class GetMessageFromWeb: # 处理收到的 websocket消息，出现任何错误，调用on_error方法 def run(self): return self._run(self.text) + def _run(self, text_list): ws_param = self.WsParam( @@ -185,7 +198,7 @@ class GetMessageFromWeb: text_list) ws_url = ws_param.create_url() - websocket.enableTrace(True) # 默认禁用 WebSocket 的跟踪功能 + websocket.enableTrace(False) # 默认禁用 WebSocket 的跟踪功能 ws = websocket.WebSocketApp(ws_url, on_message=self.on_message, on_error=self.on_error, on_close=self.on_close, on_open=self.on_open) ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE}) diff --git a/metagpt/roles/__init__.py b/metagpt/roles/__init__.py index 1768b786c..34ec144a1 100644 --- a/metagpt/roles/__init__.py +++ b/metagpt/roles/__init__.py @@ -6,16 +6,15 @@ @File : __init__.py """ -from metagpt.roles.role import Role from metagpt.roles.architect import Architect -from metagpt.roles.project_manager import ProjectManager -from metagpt.roles.product_manager import ProductManager -from metagpt.roles.engineer import Engineer -from metagpt.roles.qa_engineer import QaEngineer -from metagpt.roles.seacher import Searcher -from metagpt.roles.sales import Sales from metagpt.roles.customer_service import CustomerService - +from metagpt.roles.engineer import Engineer +from metagpt.roles.product_manager import ProductManager +from metagpt.roles.project_manager import ProjectManager +from metagpt.roles.qa_engineer import QaEngineer +from metagpt.roles.role import Role +from metagpt.roles.sales import Sales +from metagpt.roles.seacher import Searcher __all__ = [ "Role", diff --git a/metagpt/roles/architect.py b/metagpt/roles/architect.py index 15d5fe5b1..e86bd4eb6 100644 --- a/metagpt/roles/architect.py +++ b/metagpt/roles/architect.py @@ -23,11 +23,11 @@ class Architect(Role): """ def __init__( - self, - name: str = "Bob", - profile: str = "Architect", - goal: str = "Design a concise, usable, complete python system", - constraints: str = "Try to specify good open source tools as much as possible", + self, + name: str = "Bob", + profile: str = "Architect", + goal: str = "Design a concise, usable, complete python system", + constraints: str = "Try to specify good open source tools as much as possible", ) -> None: """Initializes the Architect with given attributes.""" super().__init__(name, profile, goal, constraints) diff --git a/metagpt/roles/customer_service.py b/metagpt/roles/customer_service.py index 4547f8190..4aae7cb03 100644 --- a/metagpt/roles/customer_service.py +++ b/metagpt/roles/customer_service.py @@ -32,4 +32,3 @@ class CustomerService(Sales): store=None ): super().__init__(name, profile, desc=desc, store=store) - \ No newline at end of file diff --git a/metagpt/roles/engineer.py b/metagpt/roles/engineer.py index 6d65575a8..d1f11475f 100644 --- a/metagpt/roles/engineer.py +++ b/metagpt/roles/engineer.py @@ -61,13 +61,13 @@ class Engineer(Role): """ def __init__( - self, - name: str = "Alex", - profile: str = "Engineer", - goal: str = "Write elegant, readable, extensible, efficient code", - constraints: str = "The code should conform to standards like PEP8 and be modular and maintainable", - n_borg: int = 1, - use_code_review: bool = False, + self, + name: str = "Alex", + profile: str = "Engineer", + goal: str = "Write elegant, readable, extensible, efficient code", + constraints: str = "The code should conform to standards like PEP8 and be modular and maintainable", + n_borg: int = 1, + use_code_review: bool = False, ) -> None: """Initializes the Engineer role with given attributes.""" super().__init__(name, profile, goal, constraints) diff --git a/metagpt/roles/product_manager.py b/metagpt/roles/product_manager.py index a58ea5385..dbf3b5f0f 100644 --- a/metagpt/roles/product_manager.py +++ b/metagpt/roles/product_manager.py @@ -21,11 +21,11 @@ class ProductManager(Role): """ def __init__( - self, - name: str = "Alice", - profile: str = "Product Manager", - goal: str = "Efficiently create a successful product", - constraints: str = "", + self, + name: str = "Alice", + profile: str = "Product Manager", + goal: str = "Efficiently create a successful product", + constraints: str = "", ) -> None: """ Initializes the ProductManager role with given attributes. diff --git a/metagpt/roles/project_manager.py b/metagpt/roles/project_manager.py index 7e7c5699d..0706b982f 100644 --- a/metagpt/roles/project_manager.py +++ b/metagpt/roles/project_manager.py @@ -22,11 +22,11 @@ class ProjectManager(Role): """ def __init__( - self, - name: str = "Eve", - profile: str = "Project Manager", - goal: str = "Improve team efficiency and deliver with quality and quantity", - constraints: str = "", + self, + name: str = "Eve", + profile: str = "Project Manager", + goal: str = "Improve team efficiency and deliver with quality and quantity", + constraints: str = "", ) -> None: """ Initializes the ProjectManager role with given attributes. diff --git a/metagpt/roles/prompt.py b/metagpt/roles/prompt.py index c22e0226b..fdfe45c02 100644 --- a/metagpt/roles/prompt.py +++ b/metagpt/roles/prompt.py @@ -23,6 +23,7 @@ SUFFIX = """Let's begin! Question: {input} Thoughts: {agent_scratchpad}""" + class PromptString(Enum): REFLECTION_QUESTIONS = "Here are some statements:\n{memory_descriptions}\n\nBased solely on the information above, what are the 3 most prominent high-level questions we can answer about the topic in the statements?\n\n{format_instructions}" diff --git a/metagpt/roles/qa_engineer.py b/metagpt/roles/qa_engineer.py index a763c2ce8..97a4d3c13 100644 --- a/metagpt/roles/qa_engineer.py +++ b/metagpt/roles/qa_engineer.py @@ -26,12 +26,12 @@ from metagpt.utils.special_tokens import FILENAME_CODE_SEP, MSG_SEP class QaEngineer(Role): def __init__( - self, - name="Edward", - profile="QaEngineer", - goal="Write comprehensive and robust tests to ensure codes will work as expected without bugs", - constraints="The test code you write should conform to code standard like PEP8, be modular, easy to read and maintain", - test_round_allowed=5, + self, + name="Edward", + profile="QaEngineer", + goal="Write comprehensive and robust tests to ensure codes will work as expected without bugs", + constraints="The test code you write should conform to code standard like PEP8, be modular, easy to read and maintain", + test_round_allowed=5, ): super().__init__(name, profile, goal, constraints) self._init_actions( diff --git a/metagpt/roles/researcher.py b/metagpt/roles/researcher.py index acb46c718..cdda49075 100644 --- a/metagpt/roles/researcher.py +++ b/metagpt/roles/researcher.py @@ -21,13 +21,13 @@ class Report(BaseModel): class Researcher(Role): def __init__( - self, - name: str = "David", - profile: str = "Researcher", - goal: str = "Gather information and conduct research", - constraints: str = "Ensure accuracy and relevance of information", - language: str = "en-us", - **kwargs, + self, + name: str = "David", + profile: str = "Researcher", + goal: str = "Gather information and conduct research", + constraints: str = "Ensure accuracy and relevance of information", + language: str = "en-us", + **kwargs, ): super().__init__(name, profile, goal, constraints, **kwargs) self._init_actions([CollectLinks(name), WebBrowseAndSummarize(name), ConductResearch(name)]) @@ -93,8 +93,10 @@ class Researcher(Role): if __name__ == "__main__": import fire + async def main(topic: str, language="en-us"): role = Researcher(topic, language=language) await role.run(topic) + fire.Fire(main) diff --git a/metagpt/roles/role.py b/metagpt/roles/role.py index 44bb3e976..c3c2a4662 100644 --- a/metagpt/roles/role.py +++ b/metagpt/roles/role.py @@ -11,9 +11,9 @@ from typing import Iterable, Type from pydantic import BaseModel, Field +from metagpt.actions import Action, ActionOutput # from metagpt.environment import Environment from metagpt.config import CONFIG -from metagpt.actions import Action, ActionOutput from metagpt.llm import LLM from metagpt.logs import logger from metagpt.memory import Memory, LongTermMemory @@ -169,7 +169,7 @@ class Role: # logger.info(response) if isinstance(response, ActionOutput): msg = Message(content=response.content, instruct_content=response.instruct_content, - role=self.profile, cause_by=type(self._rc.todo)) + role=self.profile, cause_by=type(self._rc.todo)) else: msg = Message(content=response, role=self.profile, cause_by=type(self._rc.todo)) self._rc.memory.add(msg) @@ -184,8 +184,9 @@ class Role: env_msgs = self._rc.env.memory.get() observed = self._rc.env.memory.get_by_actions(self._rc.watch) - - self._rc.news = self._rc.memory.find_news(observed) # find news (previously unseen messages) from observed messages + + self._rc.news = self._rc.memory.find_news( + observed) # find news (previously unseen messages) from observed messages for i in env_msgs: self.recv(i) diff --git a/metagpt/roles/sales.py b/metagpt/roles/sales.py index a45ad6f1b..51b13f487 100644 --- a/metagpt/roles/sales.py +++ b/metagpt/roles/sales.py @@ -32,4 +32,3 @@ class Sales(Role): else: action = SearchAndSummarize() self._init_actions([action]) - \ No newline at end of file diff --git a/metagpt/roles/seacher.py b/metagpt/roles/seacher.py index 0b6e089da..1b786f830 100644 --- a/metagpt/roles/seacher.py +++ b/metagpt/roles/seacher.py @@ -23,13 +23,13 @@ class Searcher(Role): constraints (str): Constraints or limitations for the searcher. engine (SearchEngineType): The type of search engine to use. """ - - def __init__(self, - name: str = 'Alice', - profile: str = 'Smart Assistant', + + def __init__(self, + name: str = 'Alice', + profile: str = 'Smart Assistant', goal: str = 'Provide search services for users', - constraints: str = 'Answer is rich and complete', - engine=SearchEngineType.SERPAPI_GOOGLE, + constraints: str = 'Answer is rich and complete', + engine=SearchEngineType.SERPAPI_GOOGLE, **kwargs) -> None: """ Initializes the Searcher role with given attributes. @@ -53,7 +53,7 @@ class Searcher(Role): """Performs the search action in a single process.""" logger.info(f"{self._setting}: ready to {self._rc.todo}") response = await self._rc.todo.run(self._rc.memory.get(k=0)) - + if isinstance(response, ActionOutput): msg = Message(content=response.content, instruct_content=response.instruct_content, role=self.profile, cause_by=type(self._rc.todo)) diff --git a/metagpt/roles/sk_agent.py b/metagpt/roles/sk_agent.py index b27841d74..05723cc80 100644 --- a/metagpt/roles/sk_agent.py +++ b/metagpt/roles/sk_agent.py @@ -29,12 +29,12 @@ class SkAgent(Role): """ def __init__( - self, - name: str = "Sunshine", - profile: str = "sk_agent", - goal: str = "Execute task based on passed in task description", - constraints: str = "", - planner_cls=BasicPlanner, + self, + name: str = "Sunshine", + profile: str = "sk_agent", + goal: str = "Execute task based on passed in task description", + constraints: str = "", + planner_cls=BasicPlanner, ) -> None: """Initializes the Engineer role with given attributes.""" super().__init__(name, profile, goal, constraints) diff --git a/metagpt/roles/tutorial_assistant.py b/metagpt/roles/tutorial_assistant.py index 9a7df4f4d..19327a6d4 100644 --- a/metagpt/roles/tutorial_assistant.py +++ b/metagpt/roles/tutorial_assistant.py @@ -29,12 +29,12 @@ class TutorialAssistant(Role): """ def __init__( - self, - name: str = "Stitch", - profile: str = "Tutorial Assistant", - goal: str = "Generate tutorial documents", - constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout", - language: str = "Chinese", + self, + name: str = "Stitch", + profile: str = "Tutorial Assistant", + goal: str = "Generate tutorial documents", + constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout", + language: str = "Chinese", ): super().__init__(name, profile, goal, constraints) self._init_actions([WriteDirectory(language=language)]) diff --git a/metagpt/schema.py b/metagpt/schema.py index bdca093c2..7d91d87ec 100644 --- a/metagpt/schema.py +++ b/metagpt/schema.py @@ -50,6 +50,7 @@ class UserMessage(Message): """便于支持OpenAI的消息 Facilitate support for OpenAI messages """ + def __init__(self, content: str): super().__init__(content, 'user') @@ -59,6 +60,7 @@ class SystemMessage(Message): """便于支持OpenAI的消息 Facilitate support for OpenAI messages """ + def __init__(self, content: str): super().__init__(content, 'system') @@ -68,6 +70,7 @@ class AIMessage(Message): """便于支持OpenAI的消息 Facilitate support for OpenAI messages """ + def __init__(self, content: str): super().__init__(content, 'assistant') diff --git a/metagpt/skills/WriterSkill/Brainstorm/config.json b/metagpt/skills/WriterSkill/Brainstorm/config.json index f50a354e7..fa2cf3314 100644 --- a/metagpt/skills/WriterSkill/Brainstorm/config.json +++ b/metagpt/skills/WriterSkill/Brainstorm/config.json @@ -8,7 +8,9 @@ "top_p": 1.0, "presence_penalty": 0.0, "frequency_penalty": 0.0, - "stop_sequences": ["##END##"] + "stop_sequences": [ + "##END##" + ] }, "input": { "parameters": [ diff --git a/metagpt/software_company.py b/metagpt/software_company.py index b2bd18c58..8f173ebf3 100644 --- a/metagpt/software_company.py +++ b/metagpt/software_company.py @@ -59,4 +59,3 @@ class SoftwareCompany(BaseModel): self._check_balance() await self.environment.run() return self.environment.history - \ No newline at end of file diff --git a/metagpt/tools/__init__.py b/metagpt/tools/__init__.py index d98087e4b..d5cef0e46 100644 --- a/metagpt/tools/__init__.py +++ b/metagpt/tools/__init__.py @@ -6,7 +6,6 @@ @File : __init__.py """ - from enum import Enum diff --git a/metagpt/tools/code_interpreter.py b/metagpt/tools/code_interpreter.py index 97398ccfd..cb6230bab 100644 --- a/metagpt/tools/code_interpreter.py +++ b/metagpt/tools/code_interpreter.py @@ -1,16 +1,16 @@ +import inspect import re -from typing import List, Callable +import textwrap from pathlib import Path +from typing import List, Callable import wrapt -import textwrap -import inspect from interpreter.interpreter import Interpreter -from metagpt.logs import logger -from metagpt.config import CONFIG -from metagpt.utils.highlight import highlight from metagpt.actions.clone_function import CloneFunction, run_function_code, run_function_script +from metagpt.config import CONFIG +from metagpt.logs import logger +from metagpt.utils.highlight import highlight def extract_python_code(code: str): @@ -36,6 +36,7 @@ def extract_python_code(code: str): class OpenCodeInterpreter(object): """https://github.com/KillianLucas/open-interpreter""" + def __init__(self, auto_run: bool = True) -> None: interpreter = Interpreter() interpreter.auto_run = auto_run @@ -126,4 +127,5 @@ class OpenInterpreterDecorator(object): except Exception as e: raise Exception("Could not evaluate Python code", e) return res + return wrapper(wrapped) diff --git a/metagpt/tools/prompt_writer.py b/metagpt/tools/prompt_writer.py index d90599206..35358307e 100644 --- a/metagpt/tools/prompt_writer.py +++ b/metagpt/tools/prompt_writer.py @@ -10,6 +10,7 @@ from typing import Union class GPTPromptGenerator: """Using LLM, given an output, request LLM to provide input (supporting instruction, chatbot, and query styles)""" + def __init__(self): self._generators = {i: getattr(self, f"gen_{i}_style") for i in ['instruction', 'chatbot', 'query']} diff --git a/metagpt/tools/sd_engine.py b/metagpt/tools/sd_engine.py index 1d9cd0b2a..4e40951bc 100644 --- a/metagpt/tools/sd_engine.py +++ b/metagpt/tools/sd_engine.py @@ -10,8 +10,8 @@ import os from os.path import join from typing import List -from aiohttp import ClientSession from PIL import Image, PngImagePlugin +from aiohttp import ClientSession from metagpt.config import Config from metagpt.const import WORKSPACE_ROOT @@ -64,12 +64,12 @@ class SDEngine: logger.info(self.sd_t2i_url) def construct_payload( - self, - prompt, - negtive_prompt=default_negative_prompt, - width=512, - height=512, - sd_model="galaxytimemachinesGTM_photoV20", + self, + prompt, + negtive_prompt=default_negative_prompt, + width=512, + height=512, + sd_model="galaxytimemachinesGTM_photoV20", ): # Configure the payload with provided inputs self.payload["prompt"] = prompt @@ -120,11 +120,13 @@ def decode_base64_to_image(img, save_name): image.save(f"{save_name}.png", pnginfo=pnginfo) return pnginfo, image + def batch_decode_base64_to_image(imgs, save_dir="", save_name=""): for idx, _img in enumerate(imgs): save_name = join(save_dir, save_name) decode_base64_to_image(_img, save_name=save_name) + if __name__ == "__main__": engine = SDEngine() prompt = "pixel style, game design, a game interface should be minimalistic and intuitive with the score and high score displayed at the top. The snake and its food should be easily distinguishable. The game should have a simple color scheme, with a contrasting color for the snake and its food. Complete interface boundary" diff --git a/metagpt/tools/search_engine.py b/metagpt/tools/search_engine.py index 942ef7edd..e87519291 100644 --- a/metagpt/tools/search_engine.py +++ b/metagpt/tools/search_engine.py @@ -20,7 +20,7 @@ class SkSearchEngine: @sk_function( description="searches results from Google. Useful when you need to find short " - "and succinct answers about a specific topic. Input should be a search query.", + "and succinct answers about a specific topic. Input should be a search query.", name="searchAsync", input_description="search", ) @@ -42,7 +42,7 @@ class SearchEngine: """ def __init__( - self, + self, engine: Optional[SearchEngineType] = None, run_func: Callable[[str, int, bool], Coroutine[None, None, Union[str, list[str]]]] = None, ): @@ -68,19 +68,19 @@ class SearchEngine: @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[True] = True, + self, + query: str, + max_results: int = 8, + as_string: Literal[True] = True, ) -> str: ... @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[False] = False, + self, + query: str, + max_results: int = 8, + as_string: Literal[False] = False, ) -> list[dict[str, str]]: ... diff --git a/metagpt/tools/search_engine_ddg.py b/metagpt/tools/search_engine_ddg.py index 57bc61b82..320a8c621 100644 --- a/metagpt/tools/search_engine_ddg.py +++ b/metagpt/tools/search_engine_ddg.py @@ -25,10 +25,10 @@ class DDGAPIWrapper: """ def __init__( - self, - *, - loop: asyncio.AbstractEventLoop | None = None, - executor: futures.Executor | None = None, + self, + *, + loop: asyncio.AbstractEventLoop | None = None, + executor: futures.Executor | None = None, ): kwargs = {} if CONFIG.global_proxy: @@ -39,29 +39,29 @@ class DDGAPIWrapper: @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[True] = True, - focus: list[str] | None = None, + self, + query: str, + max_results: int = 8, + as_string: Literal[True] = True, + focus: list[str] | None = None, ) -> str: ... @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[False] = False, - focus: list[str] | None = None, + self, + query: str, + max_results: int = 8, + as_string: Literal[False] = False, + focus: list[str] | None = None, ) -> list[dict[str, str]]: ... async def run( - self, - query: str, - max_results: int = 8, - as_string: bool = True, + self, + query: str, + max_results: int = 8, + as_string: bool = True, ) -> str | list[dict]: """Return the results of a Google search using the official Google API diff --git a/metagpt/tools/search_engine_googleapi.py b/metagpt/tools/search_engine_googleapi.py index b9faf2ced..126067b10 100644 --- a/metagpt/tools/search_engine_googleapi.py +++ b/metagpt/tools/search_engine_googleapi.py @@ -76,11 +76,11 @@ class GoogleAPIWrapper(BaseModel): return service.cse() async def run( - self, - query: str, - max_results: int = 8, - as_string: bool = True, - focus: list[str] | None = None, + self, + query: str, + max_results: int = 8, + as_string: bool = True, + focus: list[str] | None = None, ) -> str | list[dict]: """Return the results of a Google search using the official Google API. diff --git a/metagpt/tools/translator.py b/metagpt/tools/translator.py index 910638469..2e9756abe 100644 --- a/metagpt/tools/translator.py +++ b/metagpt/tools/translator.py @@ -24,4 +24,4 @@ class Translator: @classmethod def translate_prompt(cls, original, lang='中文'): - return prompt.format(LANG=lang, ORIGINAL=original) \ No newline at end of file + return prompt.format(LANG=lang, ORIGINAL=original) diff --git a/metagpt/tools/web_browser_engine.py b/metagpt/tools/web_browser_engine.py index 453d87f31..76074aa5e 100644 --- a/metagpt/tools/web_browser_engine.py +++ b/metagpt/tools/web_browser_engine.py @@ -12,9 +12,9 @@ from metagpt.utils.parse_html import WebPage class WebBrowserEngine: def __init__( - self, - engine: WebBrowserEngineType | None = None, - run_func: Callable[..., Coroutine[Any, Any, WebPage | list[WebPage]]] | None = None, + self, + engine: WebBrowserEngineType | None = None, + run_func: Callable[..., Coroutine[Any, Any, WebPage | list[WebPage]]] | None = None, ): engine = engine or CONFIG.web_browser_engine @@ -46,7 +46,9 @@ class WebBrowserEngine: if __name__ == "__main__": import fire + async def main(url: str, *urls: str, engine_type: Literal["playwright", "selenium"] = "playwright", **kwargs): return await WebBrowserEngine(WebBrowserEngineType(engine_type), **kwargs).run(url, *urls) + fire.Fire(main) diff --git a/metagpt/tools/web_browser_engine_playwright.py b/metagpt/tools/web_browser_engine_playwright.py index 030e7701b..dd9782c6f 100644 --- a/metagpt/tools/web_browser_engine_playwright.py +++ b/metagpt/tools/web_browser_engine_playwright.py @@ -23,10 +23,10 @@ class PlaywrightWrapper: """ def __init__( - self, - browser_type: Literal["chromium", "firefox", "webkit"] | None = None, - launch_kwargs: dict | None = None, - **kwargs, + self, + browser_type: Literal["chromium", "firefox", "webkit"] | None = None, + launch_kwargs: dict | None = None, + **kwargs, ) -> None: if browser_type is None: browser_type = CONFIG.playwright_browser_type @@ -139,11 +139,12 @@ async def _log_stream(sr, log_func): _install_lock: asyncio.Lock = None _install_cache = set() - if __name__ == "__main__": import fire + async def main(url: str, *urls: str, browser_type: str = "chromium", **kwargs): return await PlaywrightWrapper(browser_type, **kwargs).run(url, *urls) + fire.Fire(main) diff --git a/metagpt/tools/web_browser_engine_selenium.py b/metagpt/tools/web_browser_engine_selenium.py index d727709b8..64fdc0522 100644 --- a/metagpt/tools/web_browser_engine_selenium.py +++ b/metagpt/tools/web_browser_engine_selenium.py @@ -28,12 +28,12 @@ class SeleniumWrapper: """ def __init__( - self, - browser_type: Literal["chrome", "firefox", "edge", "ie"] | None = None, - launch_kwargs: dict | None = None, - *, - loop: asyncio.AbstractEventLoop | None = None, - executor: futures.Executor | None = None, + self, + browser_type: Literal["chrome", "firefox", "edge", "ie"] | None = None, + launch_kwargs: dict | None = None, + *, + loop: asyncio.AbstractEventLoop | None = None, + executor: futures.Executor | None = None, ) -> None: if browser_type is None: browser_type = CONFIG.selenium_browser_type @@ -117,7 +117,9 @@ def _gen_get_driver_func(browser_type, *args, executable_path=None): if __name__ == "__main__": import fire + async def main(url: str, *urls: str, browser_type: str = "chrome", **kwargs): return await SeleniumWrapper(browser_type, **kwargs).run(url, *urls) + fire.Fire(main) diff --git a/metagpt/utils/__init__.py b/metagpt/utils/__init__.py index f13175cf8..ac78a6c85 100644 --- a/metagpt/utils/__init__.py +++ b/metagpt/utils/__init__.py @@ -14,7 +14,6 @@ from metagpt.utils.token_counter import ( count_string_tokens, ) - __all__ = [ "read_docx", "Singleton", diff --git a/metagpt/utils/common.py b/metagpt/utils/common.py index 59d179808..2570d0aca 100644 --- a/metagpt/utils/common.py +++ b/metagpt/utils/common.py @@ -86,8 +86,8 @@ class OutputParser: @staticmethod def parse_python_code(text: str) -> str: for pattern in ( - r"(.*?```python.*?\s+)?(?P.*)(```.*?)", - r"(.*?```python.*?\s+)?(?P.*)", + r"(.*?```python.*?\s+)?(?P.*)(```.*?)", + r"(.*?```python.*?\s+)?(?P.*)", ): match = re.search(pattern, text, re.DOTALL) if not match: @@ -180,7 +180,7 @@ class OutputParser: if start_index != -1 and end_index != -1: # Extract the structure part - structure_text = text[start_index : end_index + 1] + structure_text = text[start_index: end_index + 1] try: # Attempt to convert the text to a Python data type using ast.literal_eval diff --git a/metagpt/utils/custom_decoder.py b/metagpt/utils/custom_decoder.py index 373d16356..2a274564c 100644 --- a/metagpt/utils/custom_decoder.py +++ b/metagpt/utils/custom_decoder.py @@ -36,11 +36,11 @@ def py_make_scanner(context): return parse_object((string, idx + 1), strict, _scan_once, object_hook, object_pairs_hook, memo) elif nextchar == "[": return parse_array((string, idx + 1), _scan_once) - elif nextchar == "n" and string[idx : idx + 4] == "null": + elif nextchar == "n" and string[idx: idx + 4] == "null": return None, idx + 4 - elif nextchar == "t" and string[idx : idx + 4] == "true": + elif nextchar == "t" and string[idx: idx + 4] == "true": return True, idx + 4 - elif nextchar == "f" and string[idx : idx + 5] == "false": + elif nextchar == "f" and string[idx: idx + 5] == "false": return False, idx + 5 m = match_number(string, idx) @@ -51,11 +51,11 @@ def py_make_scanner(context): else: res = parse_int(integer) return res, m.end() - elif nextchar == "N" and string[idx : idx + 3] == "NaN": + elif nextchar == "N" and string[idx: idx + 3] == "NaN": return parse_constant("NaN"), idx + 3 - elif nextchar == "I" and string[idx : idx + 8] == "Infinity": + elif nextchar == "I" and string[idx: idx + 8] == "Infinity": return parse_constant("Infinity"), idx + 8 - elif nextchar == "-" and string[idx : idx + 9] == "-Infinity": + elif nextchar == "-" and string[idx: idx + 9] == "-Infinity": return parse_constant("-Infinity"), idx + 9 else: raise StopIteration(idx) @@ -89,7 +89,7 @@ WHITESPACE_STR = " \t\n\r" def JSONObject( - s_and_end, strict, scan_once, object_hook, object_pairs_hook, memo=None, _w=WHITESPACE.match, _ws=WHITESPACE_STR + s_and_end, strict, scan_once, object_hook, object_pairs_hook, memo=None, _w=WHITESPACE.match, _ws=WHITESPACE_STR ): """Parse a JSON object from a string and return the parsed object. @@ -118,12 +118,12 @@ def JSONObject( memo_get = memo.setdefault # Use a slice to prevent IndexError from being raised, the following # check will raise a more specific ValueError if the string is empty - nextchar = s[end : end + 1] + nextchar = s[end: end + 1] # Normally we expect nextchar == '"' if nextchar != '"' and nextchar != "'": if nextchar in _ws: end = _w(s, end).end() - nextchar = s[end : end + 1] + nextchar = s[end: end + 1] # Trivial empty object if nextchar == "}": if object_pairs_hook is not None: @@ -146,9 +146,9 @@ def JSONObject( key = memo_get(key, key) # To skip some function call overhead we optimize the fast paths where # the JSON key separator is ": " or just ":". - if s[end : end + 1] != ":": + if s[end: end + 1] != ":": end = _w(s, end).end() - if s[end : end + 1] != ":": + if s[end: end + 1] != ":": raise JSONDecodeError("Expecting ':' delimiter", s, end) end += 1 @@ -179,7 +179,7 @@ def JSONObject( elif nextchar != ",": raise JSONDecodeError("Expecting ',' delimiter", s, end - 1) end = _w(s, end).end() - nextchar = s[end : end + 1] + nextchar = s[end: end + 1] end += 1 if nextchar != '"': raise JSONDecodeError("Expecting property name enclosed in double quotes", s, end - 1) @@ -257,7 +257,7 @@ def py_scanstring(s, end, strict=True, _b=BACKSLASH, _m=STRINGCHUNK.match, delim else: uni = _decode_uXXXX(s, end) end += 5 - if 0xD800 <= uni <= 0xDBFF and s[end : end + 2] == "\\u": + if 0xD800 <= uni <= 0xDBFF and s[end: end + 2] == "\\u": uni2 = _decode_uXXXX(s, end + 1) if 0xDC00 <= uni2 <= 0xDFFF: uni = 0x10000 + (((uni - 0xD800) << 10) | (uni2 - 0xDC00)) @@ -272,14 +272,14 @@ scanstring = py_scanstring class CustomDecoder(json.JSONDecoder): def __init__( - self, - *, - object_hook=None, - parse_float=None, - parse_int=None, - parse_constant=None, - strict=True, - object_pairs_hook=None + self, + *, + object_hook=None, + parse_float=None, + parse_int=None, + parse_constant=None, + strict=True, + object_pairs_hook=None ): super().__init__( object_hook=object_hook, diff --git a/metagpt/utils/file.py b/metagpt/utils/file.py index f3691549b..f7c9f2894 100644 --- a/metagpt/utils/file.py +++ b/metagpt/utils/file.py @@ -6,9 +6,10 @@ @File : file.py @Describe : General file operations. """ -import aiofiles from pathlib import Path +import aiofiles + from metagpt.logs import logger @@ -72,4 +73,3 @@ class File: except Exception as e: logger.error(f"Error reading file: {e}") raise e - diff --git a/metagpt/utils/highlight.py b/metagpt/utils/highlight.py index e6cbb228c..a7f8e7c7a 100644 --- a/metagpt/utils/highlight.py +++ b/metagpt/utils/highlight.py @@ -1,7 +1,7 @@ # 添加代码语法高亮显示 from pygments import highlight as highlight_ -from pygments.lexers import PythonLexer, SqlLexer from pygments.formatters import TerminalFormatter, HtmlFormatter +from pygments.lexers import PythonLexer, SqlLexer def highlight(code: str, language: str = 'python', formatter: str = 'terminal'): diff --git a/metagpt/utils/mermaid.py b/metagpt/utils/mermaid.py index 5e5b275b0..2d8d3aed6 100644 --- a/metagpt/utils/mermaid.py +++ b/metagpt/utils/mermaid.py @@ -135,7 +135,6 @@ MMC2 = """sequenceDiagram S-->>SE: return summary SE-->>M: return summary""" - if __name__ == "__main__": loop = asyncio.new_event_loop() result = loop.run_until_complete(mermaid_to_file(MMC1, PROJECT_ROOT / f"{CONFIG.mermaid_engine}/1")) diff --git a/metagpt/utils/mmdc_ink.py b/metagpt/utils/mmdc_ink.py index 3d91cde9d..45cc2af52 100644 --- a/metagpt/utils/mmdc_ink.py +++ b/metagpt/utils/mmdc_ink.py @@ -6,9 +6,9 @@ @File : mermaid.py """ import base64 -import os -from aiohttp import ClientSession,ClientError +from aiohttp import ClientSession, ClientError + from metagpt.logs import logger diff --git a/metagpt/utils/mmdc_playwright.py b/metagpt/utils/mmdc_playwright.py index bdbfd82ff..5fef3708b 100644 --- a/metagpt/utils/mmdc_playwright.py +++ b/metagpt/utils/mmdc_playwright.py @@ -8,10 +8,13 @@ import os from urllib.parse import urljoin + from playwright.async_api import async_playwright + from metagpt.logs import logger -async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048)-> int: + +async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048) -> int: """ Converts the given Mermaid code to various output formats and saves them to files. @@ -24,20 +27,21 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, Returns: int: Returns 1 if the conversion and saving were successful, -1 otherwise. """ - suffixes=['png', 'svg', 'pdf'] + suffixes = ['png', 'svg', 'pdf'] __dirname = os.path.dirname(os.path.abspath(__file__)) async with async_playwright() as p: browser = await p.chromium.launch() device_scale_factor = 1.0 context = await browser.new_context( - viewport={'width': width, 'height': height}, - device_scale_factor=device_scale_factor, - ) + viewport={'width': width, 'height': height}, + device_scale_factor=device_scale_factor, + ) page = await context.new_page() async def console_message(msg): logger.info(msg.text) + page.on('console', console_message) try: @@ -72,7 +76,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, }''', [mermaid_code, mermaid_config, my_css, background_color]) - if 'svg' in suffixes : + if 'svg' in suffixes: svg_xml = await page.evaluate('''() => { const svg = document.querySelector('svg'); const xmlSerializer = new XMLSerializer(); @@ -82,7 +86,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, with open(f'{output_file_without_suffix}.svg', 'wb') as f: f.write(svg_xml.encode('utf-8')) - if 'png' in suffixes: + if 'png' in suffixes: clip = await page.evaluate('''() => { const svg = document.querySelector('svg'); const rect = svg.getBoundingClientRect(); diff --git a/metagpt/utils/mmdc_pyppeteer.py b/metagpt/utils/mmdc_pyppeteer.py index 7ec30fd12..690a26eb8 100644 --- a/metagpt/utils/mmdc_pyppeteer.py +++ b/metagpt/utils/mmdc_pyppeteer.py @@ -7,11 +7,14 @@ """ import os from urllib.parse import urljoin -from pyppeteer import launch -from metagpt.logs import logger -from metagpt.config import CONFIG -async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048)-> int: +from pyppeteer import launch + +from metagpt.config import CONFIG +from metagpt.logs import logger + + +async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048) -> int: """ Converts the given Mermaid code to various output formats and saves them to files. @@ -24,15 +27,14 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, Returns: int: Returns 1 if the conversion and saving were successful, -1 otherwise. """ - suffixes = ['png', 'svg', 'pdf'] + suffixes = ['png', 'svg', 'pdf'] __dirname = os.path.dirname(os.path.abspath(__file__)) - if CONFIG.pyppeteer_executable_path: browser = await launch(headless=True, - executablePath=CONFIG.pyppeteer_executable_path, - args=['--disable-extensions',"--no-sandbox"] - ) + executablePath=CONFIG.pyppeteer_executable_path, + args=['--disable-extensions', "--no-sandbox"] + ) else: logger.error("Please set the environment variable:PYPPETEER_EXECUTABLE_PATH.") return -1 @@ -41,6 +43,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, async def console_message(msg): logger.info(msg.text) + page.on('console', console_message) try: @@ -73,7 +76,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, } }''', [mermaid_code, mermaid_config, my_css, background_color]) - if 'svg' in suffixes : + if 'svg' in suffixes: svg_xml = await page.evaluate('''() => { const svg = document.querySelector('svg'); const xmlSerializer = new XMLSerializer(); @@ -83,7 +86,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, with open(f'{output_file_without_suffix}.svg', 'wb') as f: f.write(svg_xml.encode('utf-8')) - if 'png' in suffixes: + if 'png' in suffixes: clip = await page.evaluate('''() => { const svg = document.querySelector('svg'); const rect = svg.getBoundingClientRect(); @@ -94,7 +97,8 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height: Math.ceil(rect.height) }; }''') - await page.setViewport({'width': clip['x'] + clip['width'], 'height': clip['y'] + clip['height'], 'deviceScaleFactor': device_scale_factor}) + await page.setViewport({'width': clip['x'] + clip['width'], 'height': clip['y'] + clip['height'], + 'deviceScaleFactor': device_scale_factor}) screenshot = await page.screenshot(clip=clip, omit_background=True, scale='device') logger.info(f"Generating {output_file_without_suffix}.png..") with open(f'{output_file_without_suffix}.png', 'wb') as f: @@ -110,4 +114,3 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, return -1 finally: await browser.close() - diff --git a/metagpt/utils/parse_html.py b/metagpt/utils/parse_html.py index 62de26541..f2395026f 100644 --- a/metagpt/utils/parse_html.py +++ b/metagpt/utils/parse_html.py @@ -16,7 +16,7 @@ class WebPage(BaseModel): class Config: underscore_attrs_are_private = True - _soup : Optional[BeautifulSoup] = None + _soup: Optional[BeautifulSoup] = None _title: Optional[str] = None @property @@ -24,7 +24,7 @@ class WebPage(BaseModel): if self._soup is None: self._soup = BeautifulSoup(self.html, "html.parser") return self._soup - + @property def title(self): if self._title is None: diff --git a/metagpt/utils/pycst.py b/metagpt/utils/pycst.py index afd85a547..4d1a86c91 100644 --- a/metagpt/utils/pycst.py +++ b/metagpt/utils/pycst.py @@ -37,12 +37,12 @@ def get_docstring_statement(body: DocstringNode) -> cst.SimpleStatementLine: if not isinstance(expr, cst.Expr): return None - + val = expr.value if not isinstance(val, (cst.SimpleString, cst.ConcatenatedString)): return None - - evaluated_value = val.evaluated_value + + evaluated_value = val.evaluated_value if isinstance(evaluated_value, bytes): return None @@ -56,6 +56,7 @@ class DocstringCollector(cst.CSTVisitor): stack: A list to keep track of the current path in the CST. docstrings: A dictionary mapping paths in the CST to their corresponding docstrings. """ + def __init__(self): self.stack: list[str] = [] self.docstrings: dict[tuple[str, ...], cst.SimpleStatementLine] = {} @@ -96,9 +97,10 @@ class DocstringTransformer(cst.CSTTransformer): stack: A list to keep track of the current path in the CST. docstrings: A dictionary mapping paths in the CST to their corresponding docstrings. """ + def __init__( - self, - docstrings: dict[tuple[str, ...], cst.SimpleStatementLine], + self, + docstrings: dict[tuple[str, ...], cst.SimpleStatementLine], ): self.stack: list[str] = [] self.docstrings = docstrings @@ -125,7 +127,8 @@ class DocstringTransformer(cst.CSTTransformer): key = tuple(self.stack) self.stack.pop() - if hasattr(updated_node, "decorators") and any((i.decorator.value == "overload") for i in updated_node.decorators): + if hasattr(updated_node, "decorators") and any( + (i.decorator.value == "overload") for i in updated_node.decorators): return updated_node statement = self.docstrings.get(key) diff --git a/metagpt/utils/read_document.py b/metagpt/utils/read_document.py index c837baf25..d2fafbc17 100644 --- a/metagpt/utils/read_document.py +++ b/metagpt/utils/read_document.py @@ -8,6 +8,7 @@ import docx + def read_docx(file_path: str) -> list: """Open a docx file""" doc = docx.Document(file_path) diff --git a/metagpt/utils/singleton.py b/metagpt/utils/singleton.py index 474b537db..a9e0862c0 100644 --- a/metagpt/utils/singleton.py +++ b/metagpt/utils/singleton.py @@ -20,4 +20,3 @@ class Singleton(abc.ABCMeta, type): if cls not in cls._instances: cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs) return cls._instances[cls] - \ No newline at end of file diff --git a/metagpt/utils/special_tokens.py b/metagpt/utils/special_tokens.py index 2adb93c77..5e780ce05 100644 --- a/metagpt/utils/special_tokens.py +++ b/metagpt/utils/special_tokens.py @@ -1,4 +1,4 @@ # token to separate different code messages in a WriteCode Message content -MSG_SEP = "#*000*#" +MSG_SEP = "#*000*#" # token to seperate file name and the actual code text in a code message FILENAME_CODE_SEP = "#*001*#" diff --git a/metagpt/utils/text.py b/metagpt/utils/text.py index be3c52edd..c36058e42 100644 --- a/metagpt/utils/text.py +++ b/metagpt/utils/text.py @@ -3,7 +3,8 @@ from typing import Generator, Sequence from metagpt.utils.token_counter import TOKEN_MAX, count_string_tokens -def reduce_message_length(msgs: Generator[str, None, None], model_name: str, system_text: str, reserved: int = 0,) -> str: +def reduce_message_length(msgs: Generator[str, None, None], model_name: str, system_text: str, + reserved: int = 0, ) -> str: """Reduce the length of concatenated message segments to fit within the maximum token size. Args: @@ -27,11 +28,11 @@ def reduce_message_length(msgs: Generator[str, None, None], model_name: str, sys def generate_prompt_chunk( - text: str, - prompt_template: str, - model_name: str, - system_text: str, - reserved: int = 0, + text: str, + prompt_template: str, + model_name: str, + system_text: str, + reserved: int = 0, ) -> Generator[str, None, None]: """Split the text into chunks of a maximum token size. @@ -49,9 +50,9 @@ def generate_prompt_chunk( current_token = 0 current_lines = [] - reserved = reserved + count_string_tokens(prompt_template+system_text, model_name) + reserved = reserved + count_string_tokens(prompt_template + system_text, model_name) # 100 is a magic number to ensure the maximum context length is not exceeded - max_token = TOKEN_MAX.get(model_name, 2048) - reserved - 100 + max_token = TOKEN_MAX.get(model_name, 2048) - reserved - 100 while paragraphs: paragraph = paragraphs.pop(0) @@ -103,7 +104,7 @@ def decode_unicode_escape(text: str) -> str: return text.encode("utf-8").decode("unicode_escape", "ignore") -def _split_by_count(lst: Sequence , count: int): +def _split_by_count(lst: Sequence, count: int): avg = len(lst) // count remainder = len(lst) % count start = 0 diff --git a/metagpt/utils/token_counter.py b/metagpt/utils/token_counter.py index a5a65803a..2b9f21fb8 100644 --- a/metagpt/utils/token_counter.py +++ b/metagpt/utils/token_counter.py @@ -24,7 +24,6 @@ TOKEN_COSTS = { "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0}, } - TOKEN_MAX = { "gpt-3.5-turbo": 4096, "gpt-3.5-turbo-0301": 4096, diff --git a/requirements.txt b/requirements.txt index de861ded9..e855b6e83 100644 --- a/requirements.txt +++ b/requirements.txt @@ -42,4 +42,5 @@ pytest-mock==3.11.1 open-interpreter==0.1.4; python_version>"3.9" ta==0.10.2 semantic-kernel==0.3.10.dev0 +websocket-client==0.58.0 diff --git a/startup.py b/startup.py index e2a903c9b..df94aeaba 100644 --- a/startup.py +++ b/startup.py @@ -15,12 +15,12 @@ from metagpt.software_company import SoftwareCompany async def startup( - idea: str, - investment: float = 3.0, - n_round: int = 5, - code_review: bool = False, - run_tests: bool = False, - implement: bool = True, + idea: str, + investment: float = 3.0, + n_round: int = 5, + code_review: bool = False, + run_tests: bool = False, + implement: bool = True, ): """Run a startup. Be a boss.""" company = SoftwareCompany() @@ -48,12 +48,12 @@ async def startup( def main( - idea: str, - investment: float = 3.0, - n_round: int = 5, - code_review: bool = True, - run_tests: bool = False, - implement: bool = True, + idea: str, + investment: float = 3.0, + n_round: int = 5, + code_review: bool = True, + run_tests: bool = False, + implement: bool = True, ): """ We are a software startup comprised of AI. By investing in us, diff --git a/tests/conftest.py b/tests/conftest.py index feecc7715..d2ac8304f 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -6,14 +6,14 @@ @File : conftest.py """ +import asyncio +import re from unittest.mock import Mock import pytest from metagpt.logs import logger from metagpt.provider.openai_api import OpenAIGPTAPI as GPTAPI -import asyncio -import re class Context: diff --git a/tests/metagpt/actions/mock.py b/tests/metagpt/actions/mock.py index a800690e8..fe82fe01e 100644 --- a/tests/metagpt/actions/mock.py +++ b/tests/metagpt/actions/mock.py @@ -159,7 +159,6 @@ sequenceDiagram The original requirements did not specify whether the game should have a save/load feature, multiplayer support, or any specific graphical user interface. More information on these aspects could help in further refining the product design and requirements. """ - PROJECT_MANAGEMENT_SAMPLE = '''## Required Python third-party packages: Provided in requirements.txt format ```python "pytest==6.2.5" @@ -217,7 +216,6 @@ The original requirements did not specify whether the game should have a save/lo ``` ''' - WRITE_CODE_PROMPT_SAMPLE = """ 你是一个工程师。下面是背景信息与你的当前任务，请为任务撰写代码。 撰写的代码应该符合PEP8，优雅，模块化，易于阅读与维护，代码本身应该有__main__入口来防止桩函数 @@ -375,7 +373,6 @@ if __name__ == '__main__': print('No results found.') """ - REFINED_CODE = ''' import requests diff --git a/tests/metagpt/actions/test_clone_function.py b/tests/metagpt/actions/test_clone_function.py index 6d4432dcd..e11402c97 100644 --- a/tests/metagpt/actions/test_clone_function.py +++ b/tests/metagpt/actions/test_clone_function.py @@ -2,7 +2,6 @@ import pytest from metagpt.actions.clone_function import CloneFunction, run_function_code - source_code = """ import pandas as pd import ta @@ -37,7 +36,10 @@ def get_expected_res(): stock_data['SMA'] = ta.trend.sma_indicator(stock_data['Close'], window=6) stock_data[['Date', 'Close', 'SMA']].head() # 计算布林带 - stock_data['bb_upper'], stock_data['bb_middle'], stock_data['bb_lower'] = ta.volatility.bollinger_hband_indicator(stock_data['Close'], window=20), ta.volatility.bollinger_mavg(stock_data['Close'], window=20), ta.volatility.bollinger_lband_indicator(stock_data['Close'], window=20) + stock_data['bb_upper'], stock_data['bb_middle'], stock_data['bb_lower'] = ta.volatility.bollinger_hband_indicator( + stock_data['Close'], window=20), ta.volatility.bollinger_mavg(stock_data['Close'], + window=20), ta.volatility.bollinger_lband_indicator( + stock_data['Close'], window=20) stock_data[['Date', 'Close', 'bb_upper', 'bb_middle', 'bb_lower']].head() return stock_data diff --git a/tests/metagpt/actions/test_debug_error.py b/tests/metagpt/actions/test_debug_error.py index 555c84e4e..2393d2cc9 100644 --- a/tests/metagpt/actions/test_debug_error.py +++ b/tests/metagpt/actions/test_debug_error.py @@ -144,12 +144,12 @@ Engineer --- ''' + @pytest.mark.asyncio async def test_debug_error(): - debug_error = DebugError("debug_error") file_name, rewritten_code = await debug_error.run(context=EXAMPLE_MSG_CONTENT) - assert "class Player" in rewritten_code # rewrite the same class - assert "while self.score > 21" in rewritten_code # a key logic to rewrite to (original one is "if self.score > 12") + assert "class Player" in rewritten_code # rewrite the same class + assert "while self.score > 21" in rewritten_code # a key logic to rewrite to (original one is "if self.score > 12") diff --git a/tests/metagpt/actions/test_detail_mining.py b/tests/metagpt/actions/test_detail_mining.py index c9d5331f9..1266960cc 100644 --- a/tests/metagpt/actions/test_detail_mining.py +++ b/tests/metagpt/actions/test_detail_mining.py @@ -10,6 +10,7 @@ import pytest from metagpt.actions.detail_mining import DetailMining from metagpt.logs import logger + @pytest.mark.asyncio async def test_detail_mining(): topic = "如何做一个生日蛋糕" @@ -17,7 +18,6 @@ async def test_detail_mining(): detail_mining = DetailMining("detail_mining") rsp = await detail_mining.run(topic=topic, record=record) logger.info(f"{rsp.content=}") - + assert '##OUTPUT' in rsp.content assert '蛋糕' in rsp.content - diff --git a/tests/metagpt/actions/test_ui_design.py b/tests/metagpt/actions/test_ui_design.py index d284b20f2..dedd0b30e 100644 --- a/tests/metagpt/actions/test_ui_design.py +++ b/tests/metagpt/actions/test_ui_design.py @@ -4,7 +4,7 @@ # from tests.metagpt.roles.ui_role import UIDesign -llm_resp= ''' +llm_resp = ''' # UI Design Description ```The user interface for the snake game will be designed in a way that is simple, clean, and intuitive. The main elements of the game such as the game grid, snake, food, score, and game over message will be clearly defined and easy to understand. The game grid will be centered on the screen with the score displayed at the top. The game controls will be intuitive and easy to use. The design will be modern and minimalist with a pleasing color scheme.``` @@ -100,6 +100,7 @@ body { font-size: 3em; ''' + def test_ui_design_parse_css(): ui_design_work = UIDesign(name="UI design action") @@ -161,7 +162,7 @@ def test_ui_design_parse_css(): transform: translate(-50%, -50%); font-size: 3em; ''' - assert ui_design_work.parse_css_code(context=llm_resp)==css + assert ui_design_work.parse_css_code(context=llm_resp) == css def test_ui_design_parse_html(): @@ -185,7 +186,4 @@ def test_ui_design_parse_html(): ''' - assert ui_design_work.parse_css_code(context=llm_resp)==html - - - + assert ui_design_work.parse_css_code(context=llm_resp) == html diff --git a/tests/metagpt/actions/test_write_code_review.py b/tests/metagpt/actions/test_write_code_review.py index 21bc563ec..f56427401 100644 --- a/tests/metagpt/actions/test_write_code_review.py +++ b/tests/metagpt/actions/test_write_code_review.py @@ -27,7 +27,6 @@ def add(a, b): captured = capfd.readouterr() print(f"输出内容: {captured.out}") - # @pytest.mark.asyncio # async def test_write_code_review_directly(): # code = SEARCH_CODE_SAMPLE diff --git a/tests/metagpt/document_store/test_chromadb_store.py b/tests/metagpt/document_store/test_chromadb_store.py index f8c11e1ca..2b110a807 100644 --- a/tests/metagpt/document_store/test_chromadb_store.py +++ b/tests/metagpt/document_store/test_chromadb_store.py @@ -16,8 +16,8 @@ def test_chroma_store(): # 使用 write 方法添加多个文档 document_store.write(["This is document1", "This is document2"], - [{"source": "google-docs"}, {"source": "notion"}], - ["doc1", "doc2"]) + [{"source": "google-docs"}, {"source": "notion"}], + ["doc1", "doc2"]) # 使用 add 方法添加一个文档 document_store.add("This is document3", {"source": "notion"}, "doc3") diff --git a/tests/metagpt/document_store/test_lancedb_store.py b/tests/metagpt/document_store/test_lancedb_store.py index 9c2f9fb42..14974662e 100644 --- a/tests/metagpt/document_store/test_lancedb_store.py +++ b/tests/metagpt/document_store/test_lancedb_store.py @@ -5,27 +5,30 @@ @Author : unkn-wn (Leon Yee) @File : test_lancedb_store.py """ -from metagpt.document_store.lancedb_store import LanceStore -import pytest import random +import pytest + +from metagpt.document_store.lancedb_store import LanceStore + + @pytest def test_lance_store(): - # This simply establishes the connection to the database, so we can drop the table if it exists store = LanceStore('test') store.drop('test') store.write(data=[[random.random() for _ in range(100)] for _ in range(2)], - metadatas=[{"source": "google-docs"}, {"source": "notion"}], - ids=["doc1", "doc2"]) + metadatas=[{"source": "google-docs"}, {"source": "notion"}], + ids=["doc1", "doc2"]) store.add(data=[random.random() for _ in range(100)], metadata={"source": "notion"}, _id="doc3") result = store.search([random.random() for _ in range(100)], n_results=3) - assert(len(result) == 3) + assert (len(result) == 3) store.delete("doc2") - result = store.search([random.random() for _ in range(100)], n_results=3, where="source = 'notion'", metric='cosine') - assert(len(result) == 1) \ No newline at end of file + result = store.search([random.random() for _ in range(100)], n_results=3, where="source = 'notion'", + metric='cosine') + assert (len(result) == 1) diff --git a/tests/metagpt/memory/test_longterm_memory.py b/tests/metagpt/memory/test_longterm_memory.py index dc5540520..ef9dec866 100644 --- a/tests/metagpt/memory/test_longterm_memory.py +++ b/tests/metagpt/memory/test_longterm_memory.py @@ -2,11 +2,11 @@ # -*- coding: utf-8 -*- # @Desc : unittest of `metagpt/memory/longterm_memory.py` -from metagpt.config import CONFIG -from metagpt.schema import Message from metagpt.actions import BossRequirement -from metagpt.roles.role import RoleContext +from metagpt.config import CONFIG from metagpt.memory import LongTermMemory +from metagpt.roles.role import RoleContext +from metagpt.schema import Message def test_ltm_search(): diff --git a/tests/metagpt/memory/test_memory_storage.py b/tests/metagpt/memory/test_memory_storage.py index 6bb3e8f1d..dcb00403f 100644 --- a/tests/metagpt/memory/test_memory_storage.py +++ b/tests/metagpt/memory/test_memory_storage.py @@ -4,11 +4,11 @@ from typing import List -from metagpt.memory.memory_storage import MemoryStorage -from metagpt.schema import Message from metagpt.actions import BossRequirement from metagpt.actions import WritePRD from metagpt.actions.action_output import ActionOutput +from metagpt.memory.memory_storage import MemoryStorage +from metagpt.schema import Message def test_idea_message(): @@ -26,7 +26,7 @@ def test_idea_message(): sim_idea = 'Write a game of cli snake' sim_message = Message(role='BOSS', content=sim_idea, cause_by=BossRequirement) new_messages = memory_storage.search(sim_message) - assert len(new_messages) == 0 # similar, return [] + assert len(new_messages) == 0 # similar, return [] new_idea = 'Write a 2048 web game' new_message = Message(role='BOSS', content=new_idea, cause_by=BossRequirement) @@ -68,7 +68,7 @@ def test_actionout_message(): role='user', cause_by=WritePRD) new_messages = memory_storage.search(sim_message) - assert len(new_messages) == 0 # similar, return [] + assert len(new_messages) == 0 # similar, return [] new_conent = 'Incorporate basic features of a snake game such as scoring and increasing difficulty' new_message = Message(content=new_conent, diff --git a/tests/metagpt/provider/test_xinghuo_api.py b/tests/metagpt/provider/test_xinghuo_api.py index 74e13413c..cdab99e54 100644 --- a/tests/metagpt/provider/test_xinghuo_api.py +++ b/tests/metagpt/provider/test_xinghuo_api.py @@ -1,4 +1,9 @@ +from metagpt.logs import logger from metagpt.provider.spark_api import SparkAPI + + def test_message(): - llm=SparkAPI() - llm.ask('只回答"收到了"这三个字。') \ No newline at end of file + llm = SparkAPI() + + logger.info(llm.ask('只回答"收到了"这三个字。')) + logger.info(llm.ask('只回答"好的，我将为您写一篇日记"。')) diff --git a/tests/metagpt/roles/mock.py b/tests/metagpt/roles/mock.py index 52fc4a3c1..a0ba3b3f3 100644 --- a/tests/metagpt/roles/mock.py +++ b/tests/metagpt/roles/mock.py @@ -19,7 +19,6 @@ DETAIL_REQUIREMENT = """需求：开发一个基于LLM（大语言模型）与 1. 大语言模型已经有前置的抽象、部署，可以通过 `from metagpt.llm import LLM`，再使用`LLM().ask(prompt)`直接调用 2. Elastic已有[部署](http://192.168.50.82:9200/)，代码可以直接使用这个部署""" - PRD = '''## 原始需求 ```python """ @@ -151,7 +150,6 @@ sequenceDiagram ``` ''' - TASKS = '''## Logic Analysis 在这个项目中，所有的模块都依赖于“SearchEngine”类，这是主入口，其他的模块（Index、Ranking和Summary）都通过它交互。另外，"Index"类又依赖于"KnowledgeBase"类，因为它需要从知识库中获取数据。 @@ -183,7 +181,6 @@ task_list = [ 这个任务列表首先定义了最基础的模块，然后是依赖这些模块的模块，最后是辅助模块。可以根据团队的能力和资源，同时开发多个任务，只要满足依赖关系。例如，在开发"search.py"之前，可以同时开发"knowledge_base.py"、"index.py"、"ranking.py"和"summary.py"。 ''' - TASKS_TOMATO_CLOCK = '''## Required Python third-party packages: Provided in requirements.txt format ```python Flask==2.1.1 @@ -224,30 +221,30 @@ task_list = [ TASK = """smart_search_engine/knowledge_base.py""" STRS_FOR_PARSING = [ -""" -## 1 -```python -a -``` -""", -""" -##2 -```python -"a" -``` -""", -""" -## 3 -```python -a = "a" -``` -""", -""" -## 4 -```python -a = 'a' -``` -""" + """ + ## 1 + ```python + a + ``` + """, + """ + ##2 + ```python + "a" + ``` + """, + """ + ## 3 + ```python + a = "a" + ``` + """, + """ + ## 4 + ```python + a = 'a' + ``` + """ ] diff --git a/tests/metagpt/roles/test_engineer.py b/tests/metagpt/roles/test_engineer.py index c0c48d0b1..2767a377a 100644 --- a/tests/metagpt/roles/test_engineer.py +++ b/tests/metagpt/roles/test_engineer.py @@ -33,7 +33,7 @@ async def test_engineer(): def test_parse_str(): for idx, i in enumerate(STRS_FOR_PARSING): - text = CodeParser.parse_str(f"{idx+1}", i) + text = CodeParser.parse_str(f"{idx + 1}", i) # logger.info(text) assert text == 'a' diff --git a/tests/metagpt/roles/test_researcher.py b/tests/metagpt/roles/test_researcher.py index 01b5dae3b..31f1f5571 100644 --- a/tests/metagpt/roles/test_researcher.py +++ b/tests/metagpt/roles/test_researcher.py @@ -12,7 +12,7 @@ async def mock_llm_ask(self, prompt: str, system_msgs): return '["dataiku", "datarobot"]' elif "Provide up to 4 queries related to your research topic" in prompt: return '["Dataiku machine learning platform", "DataRobot AI platform comparison", ' \ - '"Dataiku vs DataRobot features", "Dataiku and DataRobot use cases"]' + '"Dataiku vs DataRobot features", "Dataiku and DataRobot use cases"]' elif "sort the remaining search results" in prompt: return '[1,2]' elif "Not relevant." in prompt: diff --git a/tests/metagpt/roles/test_tutorial_assistant.py b/tests/metagpt/roles/test_tutorial_assistant.py index 945620cfc..feecd469e 100644 --- a/tests/metagpt/roles/test_tutorial_assistant.py +++ b/tests/metagpt/roles/test_tutorial_assistant.py @@ -24,4 +24,4 @@ async def test_tutorial_assistant(language: str, topic: str): title = filename.split("/")[-1].split(".")[0] async with aiofiles.open(filename, mode="r") as reader: content = await reader.read() - assert content.startswith(f"# {title}") \ No newline at end of file + assert content.startswith(f"# {title}") diff --git a/tests/metagpt/roles/test_ui.py b/tests/metagpt/roles/test_ui.py index 285bff323..2d9cb85c9 100644 --- a/tests/metagpt/roles/test_ui.py +++ b/tests/metagpt/roles/test_ui.py @@ -2,9 +2,8 @@ # @Date : 2023/7/22 02:40 # @Author : stellahong (stellahong@fuzhi.ai) # -from metagpt.software_company import SoftwareCompany from metagpt.roles import ProductManager - +from metagpt.software_company import SoftwareCompany from tests.metagpt.roles.ui_role import UI diff --git a/tests/metagpt/roles/ui_role.py b/tests/metagpt/roles/ui_role.py index a45a89cde..1d85ffa2e 100644 --- a/tests/metagpt/roles/ui_role.py +++ b/tests/metagpt/roles/ui_role.py @@ -248,12 +248,12 @@ class UI(Role): """Class representing the UI Role.""" def __init__( - self, - name="Catherine", - profile="UI Design", - goal="Finish a workable and good User Interface design based on a product design", - constraints="Give clear layout description and use standard icons to finish the design", - skills=["SD"], + self, + name="Catherine", + profile="UI Design", + goal="Finish a workable and good User Interface design based on a product design", + constraints="Give clear layout description and use standard icons to finish the design", + skills=["SD"], ): super().__init__(name, profile, goal, constraints) self.load_skills(skills) diff --git a/tests/metagpt/test_environment.py b/tests/metagpt/test_environment.py index a0f1f6257..ea31e1019 100644 --- a/tests/metagpt/test_environment.py +++ b/tests/metagpt/test_environment.py @@ -45,7 +45,8 @@ def test_set_manager(env: Environment): @pytest.mark.asyncio async def test_publish_and_process_message(env: Environment): product_manager = ProductManager("Alice", "Product Manager", "做AI Native产品", "资源有限") - architect = Architect("Bob", "Architect", "设计一个可用、高效、较低成本的系统，包括数据结构与接口", "资源有限，需要节省成本") + architect = Architect("Bob", "Architect", "设计一个可用、高效、较低成本的系统，包括数据结构与接口", + "资源有限，需要节省成本") env.add_roles([product_manager, architect]) env.set_manager(Manager()) diff --git a/tests/metagpt/tools/test_code_interpreter.py b/tests/metagpt/tools/test_code_interpreter.py index 0eec3f80b..5acecd2c3 100644 --- a/tests/metagpt/tools/test_code_interpreter.py +++ b/tests/metagpt/tools/test_code_interpreter.py @@ -2,12 +2,10 @@ import pytest import pandas as pd from pathlib import Path -from tests.data import sales_desc, store_desc from metagpt.tools.code_interpreter import OpenCodeInterpreter, OpenInterpreterDecorator from metagpt.actions import Action from metagpt.logs import logger - logger.add('./tests/data/test_ci.log') stock = "./tests/data/baba_stock.csv" @@ -38,5 +36,6 @@ async def test_actions(): # 可视化指标结果 figure_path = './tests/data/figure_ci.png' ci_ploter = OpenCodeInterpreter() - ci_ploter.chat(f"使用seaborn对{df_path}中与股票布林带有关的数据列的Date, Close, SMA, BB_upper（布林带上界）, BB_lower（布林带下界）进行可视化, 可视化图片保存在{figure_path}中。不需要任何指标计算，把Date列转换为日期类型。要求图片优美，BB_upper, BB_lower之间使用合适的颜色填充。") + ci_ploter.chat( + f"使用seaborn对{df_path}中与股票布林带有关的数据列的Date, Close, SMA, BB_upper（布林带上界）, BB_lower（布林带下界）进行可视化, 可视化图片保存在{figure_path}中。不需要任何指标计算，把Date列转换为日期类型。要求图片优美，BB_upper, BB_lower之间使用合适的颜色填充。") assert Path(figure_path).is_file() diff --git a/tests/metagpt/tools/test_search_engine.py b/tests/metagpt/tools/test_search_engine.py index a7fe063a6..30e5b3176 100644 --- a/tests/metagpt/tools/test_search_engine.py +++ b/tests/metagpt/tools/test_search_engine.py @@ -16,7 +16,8 @@ from metagpt.tools.search_engine import SearchEngine class MockSearchEnine: async def run(self, query: str, max_results: int = 8, as_string: bool = True) -> str | list[dict[str, str]]: - rets = [{"url": "https://metagpt.com/mock/{i}", "title": query, "snippet": query * i} for i in range(max_results)] + rets = [{"url": "https://metagpt.com/mock/{i}", "title": query, "snippet": query * i} for i in + range(max_results)] return "\n".join(rets) if as_string else rets @@ -34,7 +35,7 @@ class MockSearchEnine: (SearchEngineType.DUCK_DUCK_GO, None, 6, False), (SearchEngineType.CUSTOM_ENGINE, MockSearchEnine().run, 8, False), (SearchEngineType.CUSTOM_ENGINE, MockSearchEnine().run, 6, False), - + ], ) async def test_search_engine(search_engine_typpe, run_func, max_results, as_string, ): diff --git a/tests/metagpt/utils/test_custom_decoder.py b/tests/metagpt/utils/test_custom_decoder.py index c7b14ad59..22638b775 100644 --- a/tests/metagpt/utils/test_custom_decoder.py +++ b/tests/metagpt/utils/test_custom_decoder.py @@ -6,7 +6,6 @@ @File : test_custom_decoder.py """ - from metagpt.utils.custom_decoder import CustomDecoder diff --git a/tests/metagpt/utils/test_file.py b/tests/metagpt/utils/test_file.py index b30e6be93..2f224e558 100644 --- a/tests/metagpt/utils/test_file.py +++ b/tests/metagpt/utils/test_file.py @@ -23,4 +23,3 @@ async def test_write_and_read_file(root_path: Path, filename: str, content: byte assert root_path / filename == full_file_name file_data = await File.read(full_file_name) assert file_data.decode("utf-8") == content - diff --git a/tests/metagpt/utils/test_output_parser.py b/tests/metagpt/utils/test_output_parser.py index 2b706efc4..58236c90c 100644 --- a/tests/metagpt/utils/test_output_parser.py +++ b/tests/metagpt/utils/test_output_parser.py @@ -68,44 +68,45 @@ def test_parse_data(): ("text", "data_type", "parsed_data", "expected_exception"), [ ( - """xxx [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}] xxx""", - list, - [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}], - None, + """xxx [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}] xxx""", + list, + [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}], + None, ), ( - """xxx ["1", "2", "3"] xxx \n xxx \t xx""", - list, - ["1", "2", "3"], - None, + """xxx ["1", "2", "3"] xxx \n xxx \t xx""", + list, + ["1", "2", "3"], + None, ), ( - """{"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}""", - dict, - {"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}, - None, + """{"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}""", + dict, + {"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}, + None, ), ( - """xxx {"title": "x", \n \t "directory": ["x", \n "y"]} xxx \n xxx \t xx""", - dict, - {"title": "x", "directory": ["x", "y"]}, - None, + """xxx {"title": "x", \n \t "directory": ["x", \n "y"]} xxx \n xxx \t xx""", + dict, + {"title": "x", "directory": ["x", "y"]}, + None, ), ( - """xxx xx""", - list, - None, - Exception, + """xxx xx""", + list, + None, + Exception, ), ( - """xxx [1, 2, []xx""", - list, - None, - Exception, + """xxx [1, 2, []xx""", + list, + None, + Exception, ), ] ) -def test_extract_struct(text: str, data_type: Union[type(list), type(dict)], parsed_data: Union[list, dict], expected_exception): +def test_extract_struct(text: str, data_type: Union[type(list), type(dict)], parsed_data: Union[list, dict], + expected_exception): def case(): resp = OutputParser.extract_struct(text, data_type) assert resp == parsed_data diff --git a/tests/metagpt/utils/test_parse_html.py b/tests/metagpt/utils/test_parse_html.py index 42be416a6..5215c44b5 100644 --- a/tests/metagpt/utils/test_parse_html.py +++ b/tests/metagpt/utils/test_parse_html.py @@ -52,9 +52,9 @@ PAGE = """ """ -CONTENT = 'This is a HeadingThis is a paragraph witha linkand someemphasizedtext.Item 1Item 2Item 3Numbered Item 1Numbered '\ -'Item 2Numbered Item 3Header 1Header 2Row 1, Cell 1Row 1, Cell 2Row 2, Cell 1Row 2, Cell 2Name:Email:SubmitThis is a div '\ -'with a class "box".a link' +CONTENT = 'This is a HeadingThis is a paragraph witha linkand someemphasizedtext.Item 1Item 2Item 3Numbered Item 1Numbered ' \ + 'Item 2Numbered Item 3Header 1Header 2Row 1, Cell 1Row 1, Cell 2Row 2, Cell 1Row 2, Cell 2Name:Email:SubmitThis is a div ' \ + 'with a class "box".a link' def test_web_page(): diff --git a/tests/metagpt/utils/test_pycst.py b/tests/metagpt/utils/test_pycst.py index 07352eac2..2fa45ff8d 100644 --- a/tests/metagpt/utils/test_pycst.py +++ b/tests/metagpt/utils/test_pycst.py @@ -71,7 +71,6 @@ class Person: ... ''' - merged_code = ''' #!/usr/bin/env python # -*- coding: utf-8 -*- From 8cecd151444089129961278eb0e20c529474f2d2 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 20:29:03 +0800 Subject: [PATCH 21/30] =?UTF-8?q?=E5=B0=8F=E6=94=B9?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- tests/metagpt/provider/{test_xinghuo_api.py => test_spark_api.py} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tests/metagpt/provider/{test_xinghuo_api.py => test_spark_api.py} (100%) diff --git a/tests/metagpt/provider/test_xinghuo_api.py b/tests/metagpt/provider/test_spark_api.py similarity index 100% rename from tests/metagpt/provider/test_xinghuo_api.py rename to tests/metagpt/provider/test_spark_api.py From 8d2570605a84d9be6dd1a103f18b454f26512188 Mon Sep 17 00:00:00 2001 From: Surav Shrestha Date: Wed, 18 Oct 2023 18:28:52 +0545 Subject: [PATCH 22/30] docs: fix typo in examples/agent_creator.py --- examples/agent_creator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/examples/agent_creator.py b/examples/agent_creator.py index e03a88c6b..325e7c260 100644 --- a/examples/agent_creator.py +++ b/examples/agent_creator.py @@ -91,7 +91,7 @@ if __name__ == "__main__": msg = """ Write an agent called SimpleTester that will take any code snippet (str) and do the following: - 1. write a testing code (str) for testing the given code snippet, save the testing code as a .py file in the current working diretory; + 1. write a testing code (str) for testing the given code snippet, save the testing code as a .py file in the current working directory; 2. run the testing code. You can use pytest as the testing framework. """ From 212d703aed5a6707449cef2cd470637bd0148782 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 20:45:10 +0800 Subject: [PATCH 23/30] a\ --- tests/metagpt/provider/test_spark_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/metagpt/provider/test_spark_api.py b/tests/metagpt/provider/test_spark_api.py index cdab99e54..af926ec1c 100644 --- a/tests/metagpt/provider/test_spark_api.py +++ b/tests/metagpt/provider/test_spark_api.py @@ -6,4 +6,4 @@ def test_message(): llm = SparkAPI() logger.info(llm.ask('只回答"收到了"这三个字。')) - logger.info(llm.ask('只回答"好的，我将为您写一篇日记"。')) + logger.info(llm.ask('从1，数到20。')) From 3282839185ab81355aa1ae5c135d6217ba3ba7a5 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 20:49:39 +0800 Subject: [PATCH 24/30] a --- tests/metagpt/provider/test_spark_api.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/metagpt/provider/test_spark_api.py b/tests/metagpt/provider/test_spark_api.py index af926ec1c..1ff159b54 100644 --- a/tests/metagpt/provider/test_spark_api.py +++ b/tests/metagpt/provider/test_spark_api.py @@ -6,4 +6,4 @@ def test_message(): llm = SparkAPI() logger.info(llm.ask('只回答"收到了"这三个字。')) - logger.info(llm.ask('从1，数到20。')) + logger.info(llm.ask('写一篇五百字的日记')) From 041da760e06777b3451aea84bce3a13685ded9bb Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 22:17:16 +0800 Subject: [PATCH 25/30] =?UTF-8?q?=E4=BF=AE=E6=AD=A3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .devcontainer/README.md | 42 +- .devcontainer/devcontainer.json | 40 +- .devcontainer/docker-compose.yaml | 4 +- .pre-commit-config.yaml | 10 +- README.md | 129 +-- config/config.yaml | 13 - config/puppeteer-config.json | 8 +- docs/FAQ-EN.md | 225 ++-- docs/README_CN.md | 22 +- docs/README_JA.md | 28 +- docs/ROADMAP.md | 109 +- .../resources/competitive_analysis.svg | 129 +-- .../resources/data_api_design.svg | 1021 +---------------- .../content_rec_sys/resources/seq_flow.svg | 343 +----- .../resources/competitive_analysis.svg | 129 +-- .../resources/data_api_design.svg | 632 +--------- .../llmops_framework/resources/seq_flow.svg | 324 +----- .../resources/competitive_analysis.svg | 129 +-- .../resources/data_api_design.svg | 948 +-------------- .../match3_puzzle_game/resources/seq_flow.svg | 426 +------ .../resources/competitive_analysis.svg | 117 +- .../resources/data_api_design.svg | 204 +--- .../resources/seq_flow.svg | 220 +--- .../resources/competitive_analysis.svg | 129 +-- .../pyrogue/resources/data_api_design.svg | 748 +----------- .../workspace/pyrogue/resources/seq_flow.svg | 355 +----- .../resources/competitive_analysis.svg | 129 +-- .../resources/data_api_design.svg | 516 +-------- .../resources/seq_flow.svg | 322 +----- examples/agent_creator.py | 22 +- examples/build_customized_agent.py | 30 +- examples/debate.py | 28 +- examples/search_with_specific_engine.py | 5 +- examples/sk_agent.py | 1 + examples/use_off_the_shelf_agent.py | 4 +- examples/write_tutorial.py | 1 + metagpt/_compat.py | 2 - metagpt/actions/action.py | 12 +- metagpt/actions/action_output.py | 1 + metagpt/actions/add_requirement.py | 1 - metagpt/actions/clone_function.py | 2 +- metagpt/actions/debug_error.py | 10 +- metagpt/actions/design_api_review.py | 1 + metagpt/actions/design_filenames.py | 1 + metagpt/actions/detail_mining.py | 2 +- metagpt/actions/prepare_interview.py | 2 +- metagpt/actions/research.py | 61 +- metagpt/actions/run_code.py | 2 +- metagpt/actions/search_and_summarize.py | 2 + metagpt/actions/write_code.py | 4 +- metagpt/actions/write_code_review.py | 4 +- metagpt/actions/write_docstring.py | 8 +- metagpt/actions/write_prd_review.py | 1 + metagpt/actions/write_tutorial.py | 1 + metagpt/const.py | 6 +- metagpt/document_store/base_store.py | 1 + metagpt/document_store/chromadb_store.py | 1 - metagpt/document_store/document.py | 1 + metagpt/document_store/qdrant_store.py | 22 +- metagpt/inspect_module.py | 2 +- metagpt/llm.py | 1 - metagpt/logs.py | 2 - metagpt/manager.py | 2 +- metagpt/memory/__init__.py | 3 +- metagpt/memory/longterm_memory.py | 1 + metagpt/memory/memory.py | 1 + metagpt/memory/memory_storage.py | 5 +- metagpt/prompts/decompose.py | 1 + metagpt/prompts/generate_skill.md | 5 +- metagpt/prompts/sales.py | 17 +- metagpt/prompts/summarize.py | 4 + metagpt/prompts/tutorial_assistant.py | 2 +- metagpt/prompts/use_lib_sop.py | 1 + metagpt/provider/__init__.py | 1 + metagpt/provider/anthropic_api.py | 1 + metagpt/provider/base_chatbot.py | 1 + metagpt/provider/base_gpt_api.py | 1 + metagpt/provider/openai_api.py | 7 +- metagpt/roles/__init__.py | 15 +- metagpt/roles/architect.py | 10 +- metagpt/roles/customer_service.py | 1 + metagpt/roles/engineer.py | 14 +- metagpt/roles/product_manager.py | 10 +- metagpt/roles/project_manager.py | 10 +- metagpt/roles/prompt.py | 1 - metagpt/roles/qa_engineer.py | 12 +- metagpt/roles/researcher.py | 16 +- metagpt/roles/sales.py | 1 + metagpt/roles/seacher.py | 14 +- metagpt/roles/sk_agent.py | 12 +- metagpt/roles/tutorial_assistant.py | 12 +- metagpt/schema.py | 3 - .../skills/WriterSkill/Brainstorm/config.json | 4 +- metagpt/software_company.py | 1 + metagpt/tools/__init__.py | 1 + metagpt/tools/code_interpreter.py | 12 +- metagpt/tools/prompt_writer.py | 1 - metagpt/tools/sd_engine.py | 16 +- metagpt/tools/search_engine.py | 20 +- metagpt/tools/search_engine_ddg.py | 36 +- metagpt/tools/search_engine_googleapi.py | 10 +- metagpt/tools/translator.py | 2 +- metagpt/tools/web_browser_engine.py | 8 +- .../tools/web_browser_engine_playwright.py | 11 +- metagpt/tools/web_browser_engine_selenium.py | 14 +- metagpt/utils/__init__.py | 1 + metagpt/utils/custom_decoder.py | 42 +- metagpt/utils/file.py | 4 +- metagpt/utils/highlight.py | 2 +- metagpt/utils/mermaid.py | 1 + metagpt/utils/mmdc_ink.py | 4 +- metagpt/utils/mmdc_playwright.py | 18 +- metagpt/utils/mmdc_pyppeteer.py | 25 +- metagpt/utils/parse_html.py | 4 +- metagpt/utils/pycst.py | 15 +- metagpt/utils/read_document.py | 1 - metagpt/utils/singleton.py | 1 + metagpt/utils/special_tokens.py | 2 +- metagpt/utils/text.py | 19 +- metagpt/utils/token_counter.py | 1 + requirements.txt | 5 + startup.py | 24 +- tests/conftest.py | 4 +- tests/metagpt/actions/mock.py | 3 + tests/metagpt/actions/test_clone_function.py | 6 +- tests/metagpt/actions/test_debug_error.py | 6 +- tests/metagpt/actions/test_detail_mining.py | 4 +- tests/metagpt/actions/test_ui_design.py | 10 +- .../metagpt/actions/test_write_code_review.py | 1 + .../document_store/test_chromadb_store.py | 4 +- .../document_store/test_lancedb_store.py | 19 +- tests/metagpt/memory/test_longterm_memory.py | 6 +- tests/metagpt/memory/test_memory_storage.py | 8 +- tests/metagpt/roles/mock.py | 51 +- tests/metagpt/roles/test_engineer.py | 2 +- tests/metagpt/roles/test_researcher.py | 2 +- .../metagpt/roles/test_tutorial_assistant.py | 2 +- tests/metagpt/roles/test_ui.py | 3 +- tests/metagpt/roles/ui_role.py | 12 +- tests/metagpt/test_environment.py | 3 +- tests/metagpt/tools/test_code_interpreter.py | 5 +- tests/metagpt/tools/test_search_engine.py | 5 +- tests/metagpt/utils/test_custom_decoder.py | 1 + tests/metagpt/utils/test_file.py | 1 + tests/metagpt/utils/test_output_parser.py | 51 +- tests/metagpt/utils/test_parse_html.py | 6 +- tests/metagpt/utils/test_pycst.py | 1 + 147 files changed, 756 insertions(+), 7644 deletions(-) diff --git a/.devcontainer/README.md b/.devcontainer/README.md index 5af5bfc90..dd088aab1 100644 --- a/.devcontainer/README.md +++ b/.devcontainer/README.md @@ -1,53 +1,39 @@ # Dev container -This project includes a [dev container](https://containers.dev/), which lets you use a container as a full-featured dev -environment. +This project includes a [dev container](https://containers.dev/), which lets you use a container as a full-featured dev environment. -You can use the dev container configuration in this folder to build and start running MetaGPT locally! For more, refer -to the main README under the home directory. -You can use it in [GitHub Codespaces](https://github.com/features/codespaces) or -the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). +You can use the dev container configuration in this folder to build and start running MetaGPT locally! For more, refer to the main README under the home directory. +You can use it in [GitHub Codespaces](https://github.com/features/codespaces) or the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers). ## GitHub Codespaces - Open in GitHub Codespaces You may use the button above to open this repo in a Codespace -For more info, check out -the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace). - +For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace). + ## VS Code Dev Containers - Open in Dev Containers -Note: If you click this link you will open the main repo and not your local cloned repo, you can use this link and -replace with your username and cloned repo name: +Note: If you click this link you will open the main repo and not your local cloned repo, you can use this link and replace with your username and cloned repo name: https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT -If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code -to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin -up a dev container for use. + +If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use. You can also follow these steps to open this repo in a container using the VS Code Dev Containers extension: -1. If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have - Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started). +1. If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started). 2. Open a locally cloned copy of the code: - - Fork and Clone this repository to your local filesystem. - - Press F1 and select the **Dev Containers: Open Folder in Container...** command. - - Select the cloned copy of this folder, wait for the container to start, and try things out! + - Fork and Clone this repository to your local filesystem. + - Press F1 and select the **Dev Containers: Open Folder in Container...** command. + - Select the cloned copy of this folder, wait for the container to start, and try things out! You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers). ## Tips and tricks -* If you are working with the same repository folder in a container and Windows, you'll want consistent line endings ( - otherwise you may see hundreds of changes in the SCM view). The `.gitattributes` file in the root of this repo will - disable line ending conversion and should prevent this. - See [tips and tricks](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files) - for more info. -* If you'd like to review the contents of the image used in this dev container, you can check it out in - the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repo. +* If you are working with the same repository folder in a container and Windows, you'll want consistent line endings (otherwise you may see hundreds of changes in the SCM view). The `.gitattributes` file in the root of this repo will disable line ending conversion and should prevent this. See [tips and tricks](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files) for more info. +* If you'd like to review the contents of the image used in this dev container, you can check it out in the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repo. diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 6ad3b598d..a774d0ed1 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,25 +1,27 @@ // For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/python { - "name": "Python 3", - // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile - "image": "mcr.microsoft.com/devcontainers/python:0-3.11", - // Features to add to the dev container. More info: https://containers.dev/features. - // "features": {}, + "name": "Python 3", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "image": "mcr.microsoft.com/devcontainers/python:0-3.11", - // Configure tool-specific properties. - "customizations": { - // Configure properties specific to VS Code. - "vscode": { - "settings": {}, - "extensions": [ - "streetsidesoftware.code-spell-checker" - ] - } - }, - // Use 'postCreateCommand' to run commands after the container is created. - "postCreateCommand": "./.devcontainer/postCreateCommand.sh" + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, - // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. - // "remoteUser": "root" + // Configure tool-specific properties. + "customizations": { + // Configure properties specific to VS Code. + "vscode": { + "settings": {}, + "extensions": [ + "streetsidesoftware.code-spell-checker" + ] + } + }, + + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "./.devcontainer/postCreateCommand.sh" + + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" } diff --git a/.devcontainer/docker-compose.yaml b/.devcontainer/docker-compose.yaml index 2f0116bf8..a9988b1f3 100644 --- a/.devcontainer/docker-compose.yaml +++ b/.devcontainer/docker-compose.yaml @@ -5,10 +5,10 @@ services: dockerfile: Dockerfile context: .. volumes: - # Update this to wherever you want VS Code to mount the folder of your project + # Update this to wherever you want VS Code to mount the folder of your project - ..:/workspaces:cached networks: - - metagpt-network + - metagpt-network # environment: # MONGO_ROOT_USERNAME: root # MONGO_ROOT_PASSWORD: example123 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index db11ddbb5..b1892a709 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -8,11 +8,11 @@ repos: rev: 5.11.5 hooks: - id: isort - args: [ '--profile', 'black' ] + args: ['--profile', 'black'] exclude: >- - (?x)^( - .*__init__\.py$ - ) + (?x)^( + .*__init__\.py$ + ) - repo: https://github.com/astral-sh/ruff-pre-commit # Ruff version. @@ -24,4 +24,4 @@ repos: rev: 23.3.0 hooks: - id: black - args: [ '--line-length', '120' ] \ No newline at end of file + args: ['--line-length', '120'] \ No newline at end of file diff --git a/README.md b/README.md index f6dd33791..4bc480a01 100644 --- a/README.md +++ b/README.md @@ -25,11 +25,9 @@ # MetaGPT: The Multi-Agent Framework Hugging Face

-1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements / - data structures / APIs / documents, etc.** -2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire - process of a **software company along with carefully orchestrated SOPs.** - 1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs. +1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements / data structures / APIs / documents, etc.** +2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire process of a **software company along with carefully orchestrated SOPs.** + 1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs. ![A software company consists of LLM-based roles](docs/resources/software_company_cd.jpeg) @@ -37,17 +35,21 @@ # MetaGPT: The Multi-Agent Framework ## MetaGPT's Abilities + https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419 + + ## Examples (fully generated by GPT-4) -For example, if you type `python startup.py "Design a RecSys like Toutiao"`, you would get many outputs, one of them is -data & api design +For example, if you type `python startup.py "Design a RecSys like Toutiao"`, you would get many outputs, one of them is data & api design ![Jinri Toutiao Recsys Data & API Design](docs/resources/workspace/content_rec_sys/resources/data_api_design.png) -It costs approximately **$0.2** (in GPT-4 API fees) to generate one example with analysis and design, and around **$2.0 -** for a full project. +It costs approximately **$0.2** (in GPT-4 API fees) to generate one example with analysis and design, and around **$2.0** for a full project. + + + ## Installation @@ -73,12 +75,10 @@ # Step 3: Clone the repository to your local machine, and install it. **Note:** -- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment - variable +- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment variable `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` to `true`. -- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. - Installing it locally is an alternative solution, +- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. Installing it locally is an alternative solution, ```bash npm install @mermaid-js/mermaid-cli @@ -91,75 +91,72 @@ # Step 3: Clone the repository to your local machine, and install it. MMDC: "./node_modules/.bin/mmdc" ``` -- if `pip install -e.` fails with - error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, - try instead running `pip install -e. --user` +- if `pip install -e.` fails with error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, try instead running `pip install -e. --user` -- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now - have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task. +- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task. - - Playwright - - **Install Playwright** + - Playwright + - **Install Playwright** - ```bash - pip install playwright - ``` + ```bash + pip install playwright + ``` - - **Install the Required Browsers** + - **Install the Required Browsers** - to support PDF conversion, please install Chrominum. + to support PDF conversion, please install Chrominum. - ```bash - playwright install --with-deps chromium - ``` + ```bash + playwright install --with-deps chromium + ``` - - **modify `config.yaml`** + - **modify `config.yaml`** - uncomment MERMAID_ENGINE from config.yaml and change it to `playwright` + uncomment MERMAID_ENGINE from config.yaml and change it to `playwright` - ```yaml - MERMAID_ENGINE: playwright - ``` + ```yaml + MERMAID_ENGINE: playwright + ``` - - pyppeteer - - **Install pyppeteer** + - pyppeteer + - **Install pyppeteer** - ```bash - pip install pyppeteer - ``` + ```bash + pip install pyppeteer + ``` - - **Use your own Browsers** + - **Use your own Browsers** - pyppeteer alow you use installed browsers, please set the following envirment + pyppeteer alow you use installed browsers, please set the following envirment + + ```bash + export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome + ``` - ```bash - export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome - ``` + please do not use this command to install browser, it is too old - please do not use this command to install browser, it is too old + ```bash + pyppeteer-install + ``` - ```bash - pyppeteer-install - ``` + - **modify `config.yaml`** - - **modify `config.yaml`** + uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer` - uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer` + ```yaml + MERMAID_ENGINE: pyppeteer + ``` - ```yaml - MERMAID_ENGINE: pyppeteer - ``` + - mermaid.ink + - **modify `config.yaml`** - - mermaid.ink - - **modify `config.yaml`** + uncomment MERMAID_ENGINE from config.yaml and change it to `ink` - uncomment MERMAID_ENGINE from config.yaml and change it to `ink` + ```yaml + MERMAID_ENGINE: ink + ``` - ```yaml - MERMAID_ENGINE: ink - ``` - - Note: this method does not support pdf export. + Note: this method does not support pdf export. ### Installation by Docker @@ -215,7 +212,7 @@ # Copy the configuration file and make the necessary modifications. ``` | Variable Name | config/key.yaml | env | -|--------------------------------------------|-------------------------------------------|-------------------------------------------------| +| ------------------------------------------ | ----------------------------------------- | ----------------------------------------------- | | OPENAI_API_KEY # Replace with your own key | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | | OPENAI_API_BASE # Optional | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | @@ -289,13 +286,11 @@ ### Code walkthrough ## QuickStart -It is difficult to install and configure the local environment for some users. The following tutorials will allow you to -quickly experience the charm of MetaGPT. +It is difficult to install and configure the local environment for some users. The following tutorials will allow you to quickly experience the charm of MetaGPT. - [MetaGPT quickstart](https://deepwisdom.feishu.cn/wiki/CyY9wdJc4iNqArku3Lncl4v8n2b) Try it on Huggingface Space - - https://huggingface.co/spaces/deepwisdom/MetaGPT ## Citation @@ -315,12 +310,10 @@ ## Citation ## Contact Information -If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your -suggestions! +If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions! - **Email:** alexanderwu@fuzhi.ai -- **GitHub Issues:** For more technical inquiries, you can also create a new issue in - our [GitHub repository](https://github.com/geekan/metagpt/issues). +- **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https://github.com/geekan/metagpt/issues). We will respond to all questions within 2-3 business days. diff --git a/config/config.yaml b/config/config.yaml index 583f25433..444f55efd 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -15,19 +15,6 @@ RPM: 10 #### if Anthropic #Anthropic_API_KEY: "YOUR_API_KEY" -#### if Xinghuo -#XINGHUO_APPID : "YOUR_APPID" -#XINGHUO_API_SECRET : "YOUR_APISecret" -#XINGHUO_API_KEY : "YOUR_APIKey" -#DOMAIN : "generalv2" -#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" - -XINGHUO_APPID: "ae5e30f4" -XINGHUO_API_SECRET: "MDhlOWE2NmFhOWMxZWRkOTdlYjY2Njk1" -XINGHUO_API_KEY: "97b635fe5927d34a857333e11d15f29f" -DOMAIN: "generalv2" -SPARK_URL: "ws://spark-api.xf-yun.com/v2.1/chat" - #### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb #### You can use ENGINE or DEPLOYMENT mode #OPENAI_API_TYPE: "azure" diff --git a/config/puppeteer-config.json b/config/puppeteer-config.json index da5d808d9..7b2851c29 100644 --- a/config/puppeteer-config.json +++ b/config/puppeteer-config.json @@ -1,6 +1,6 @@ { - "executablePath": "/usr/bin/chromium", - "args": [ - "--no-sandbox" - ] + "executablePath": "/usr/bin/chromium", + "args": [ + "--no-sandbox" + ] } \ No newline at end of file diff --git a/docs/FAQ-EN.md b/docs/FAQ-EN.md index fdd5d846b..4c86ed150 100644 --- a/docs/FAQ-EN.md +++ b/docs/FAQ-EN.md @@ -1,5 +1,4 @@ -Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) -and [reduce working hours](https://github.com/geekan/MetaGPT/). +Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) and [reduce working hours](https://github.com/geekan/MetaGPT/). 1. ### Convenient Link for Sharing this Document: @@ -11,36 +10,30 @@ -1. Code：https://github.com/geekan/MetaGPT +1. Code：https://github.com/geekan/MetaGPT -1. Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md +1. Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md -1. EN +1. EN - 1. Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M) - 2. - Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s) + 1. Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M) + 2. Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s) 3. Author's thoughts video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak) -1. CN - - 1. Demo - Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77) - 1. - Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c) - 2. Author's thoughts video( - CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click) +1. CN + 1. Demo Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77) + 1. Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c) + 2. Author's thoughts video(CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click) + 3. ### How to become a contributor? -1. Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join - the dev team. -1. Current contributors come from backgrounds including: ByteDance AI Lab/DingDong/Didi/Xiaohongshu, - Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB +1. Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join the dev team. +1. Current contributors come from backgrounds including: ByteDance AI Lab/DingDong/Didi/Xiaohongshu, Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB @@ -48,13 +41,11 @@ MetaGPT Community - The position of Chief Evangelist rotates on a monthly basis. The primary responsibilities include: -1. Maintaining community FAQ documents, announcements, Github resources/READMEs. -1. Responding to, answering, and distributing community questions within an average of 30 minutes, including on - platforms like Github Issues, Discord and WeChat. -1. Upholding a community atmosphere that is enthusiastic, genuine, and friendly. -1. Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI ( - Artificial General Intelligence). -1. (Optional) Organizing small-scale events, such as hackathons. +1. Maintaining community FAQ documents, announcements, Github resources/READMEs. +1. Responding to, answering, and distributing community questions within an average of 30 minutes, including on platforms like Github Issues, Discord and WeChat. +1. Upholding a community atmosphere that is enthusiastic, genuine, and friendly. +1. Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI (Artificial General Intelligence). +1. (Optional) Organizing small-scale events, such as hackathons. @@ -62,165 +53,131 @@ -1. Experience with the generated repo code: +1. Experience with the generated repo code: - 1. https://github.com/geekan/MetaGPT/releases/tag/v0.1.0 + 1. https://github.com/geekan/MetaGPT/releases/tag/v0.1.0 -1. Code truncation/ Parsing failure: +1. Code truncation/ Parsing failure: - 1. Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions. + 1. Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions. -1. Success rate: +1. Success rate: - 1. There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly - higher than that of gpt-3.5-turbo. + 1. There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly higher than that of gpt-3.5-turbo. -1. Support for incremental, differential updates (if you wish to continue a half-done task): +1. Support for incremental, differential updates (if you wish to continue a half-done task): - 1. Several prerequisite tasks are listed on the ROADMAP. + 1. Several prerequisite tasks are listed on the ROADMAP. -1. Can existing code be loaded? +1. Can existing code be loaded? - 1. It's not on the ROADMAP yet, but there are plans in place. It just requires some time. + 1. It's not on the ROADMAP yet, but there are plans in place. It just requires some time. -1. Support for multiple programming languages and natural languages? +1. Support for multiple programming languages and natural languages? - 1. It's listed on ROADMAP. + 1. It's listed on ROADMAP. -1. Want to join the contributor team? How to proceed? +1. Want to join the contributor team? How to proceed? - 1. Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP. + 1. Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP. -1. PRD stuck / unable to access/ connection interrupted +1. PRD stuck / unable to access/ connection interrupted - 1. The official OPENAI_API_BASE address is `https://api.openai.com/v1` - 1. If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl), - it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as - openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"` - 1. If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another - option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a - local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing - through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled, - don't set OPENAI_API_BASE. - 1. Note: OpenAI's default API design ends with a v1. An example of the correct configuration - is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"` + 1. The official OPENAI_API_BASE address is `https://api.openai.com/v1` + 1. If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl), it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"` + 1. If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled, don't set OPENAI_API_BASE. + 1. Note: OpenAI's default API design ends with a v1. An example of the correct configuration is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"` -1. Absolutely! How can I assist you today? +1. Absolutely! How can I assist you today? - 1. Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is - higher when consuming 3.5k-4k tokens in GPT-4 + 1. Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is higher when consuming 3.5k-4k tokens in GPT-4 -1. What does Max token mean? +1. What does Max token mean? - 1. It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be - truncated. + 1. It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be truncated. -1. How to change the investment amount? +1. How to change the investment amount? - 1. You can view all commands by typing `python startup.py --help` + 1. You can view all commands by typing `python startup.py --help` -1. Which version of Python is more stable? +1. Which version of Python is more stable? - 1. python3.9 / python3.10 + 1. python3.9 / python3.10 -1. Can't use GPT-4, getting the error "The model gpt-4 does not exist." +1. Can't use GPT-4, getting the error "The model gpt-4 does not exist." - 1. OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI. - 1. Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4. + 1. OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI. + 1. Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4. -1. Can games whose code has never been seen before be written? +1. Can games whose code has never been seen before be written? - 1. Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world - currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it - suggests it can also summarize these discussions and convert them into code. The prompt would be something like " - write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software. - The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing - trimming down requirements as much as possible. + 1. Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it suggests it can also summarize these discussions and convert them into code. The prompt would be something like "write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software. The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing trimming down requirements as much as possible. -1. Under what circumstances would there typically be errors? +1. Under what circumstances would there typically be errors? - 1. More than 500 lines of code: some function implementations may be left blank. - 1. When using a database, it often gets the implementation wrong — since the SQL database initialization process is - usually not in the code. - 1. With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs. + 1. More than 500 lines of code: some function implementations may be left blank. + 1. When using a database, it often gets the implementation wrong — since the SQL database initialization process is usually not in the code. + 1. With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs. -1. Instructions for using SD Skills/UI Role: +1. Instructions for using SD Skills/UI Role: - 1. Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding - code implementation. For testing, you can refer to the test_ui in the same directory. + 1. Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding code implementation. For testing, you can refer to the test_ui in the same directory. - 1. The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by - the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it - processes the respective context, and based on the set template, outputs the UI. The output from the UI role - includes: + 1. The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it processes the respective context, and based on the set template, outputs the UI. The output from the UI role includes: - 1. UI Design Description：Describes the content to be designed and the design objectives. - 1. Selected Elements：Describes the elements in the design that need to be illustrated. - 1. HTML Layout：Outputs the HTML code for the page. - 1. CSS Styles (styles.css)：Outputs the CSS code for the page. + 1. UI Design Description：Describes the content to be designed and the design objectives. + 1. Selected Elements：Describes the elements in the design that need to be illustrated. + 1. HTML Layout：Outputs the HTML code for the page. + 1. CSS Styles (styles.css)：Outputs the CSS code for the page. - 1. Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in - metagpt/tools/sd_engine. + 1. Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in metagpt/tools/sd_engine. - 1. Configuration instructions for SD Skills: The SD interface is currently deployed based on - *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads, - please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the - command specified in cmd with the parameter nowebui, i.e., + 1. Configuration instructions for SD Skills: The SD interface is currently deployed based on *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads, please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the command specified in cmd with the parameter nowebui, i.e., 1. > python webui.py --enable-insecure-extension-access --port xxx --no-gradio-queue --nowebui - 1. Once it runs without errors, the interface will be accessible after approximately 1 minute when the model - finishes loading. - 1. Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files. - 1. ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image) - 1. SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860. + 1.     Once it runs without errors, the interface will be accessible after approximately 1 minute when the model finishes loading. + 1. Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files. + 1. ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image) + 1.     SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860. 1. > SD_URL: IP:Port -1. An error occurred during installation: "Another program is using this file...egg". +1. An error occurred during installation: "Another program is using this file...egg". - 1. Delete the file and try again. - 1. Or manually execute`pip install -r requirements.txt` + 1. Delete the file and try again. + 1. Or manually execute`pip install -r requirements.txt` -1. The origin of the name MetaGPT？ +1. The origin of the name MetaGPT？ - 1. The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it. + 1. The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it. -1. Is there a more step-by-step installation tutorial? +1. Is there a more step-by-step installation tutorial? - 1. - Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c) - 1. Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s - 2. video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak) + 1. Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c) + 1. Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s + 2. video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak) -1. openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details +1. openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details - 1. If you haven't exhausted your free quota, set RPM to 3 or lower in the settings. - 1. If your free quota is used up, consider adding funds to your account. + 1. If you haven't exhausted your free quota, set RPM to 3 or lower in the settings. + 1. If your free quota is used up, consider adding funds to your account. -1. What does "borg" mean in n_borg? +1. What does "borg" mean in n_borg? - 1. [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg) - 1. The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg - individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and - guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but - also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the - collective "voice" sometimes transmits aboard ships. + 1. [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg) + 1. The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the collective "voice" sometimes transmits aboard ships. -1. How to use the Claude API？ +1. How to use the Claude API？ - 1. The full implementation of the Claude API is not provided in the current code. - 1. You can use the Claude API through third-party API conversion projects - like: https://github.com/jtsang4/claude-to-chatgpt + 1. The full implementation of the Claude API is not provided in the current code. + 1. You can use the Claude API through third-party API conversion projects like: https://github.com/jtsang4/claude-to-chatgpt -1. Is Llama2 supported？ +1. Is Llama2 supported？ - 1. On the day Llama2 was released, some of the community members began experiments and found that output can be - generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project. - Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good - recommendations for expansion models or methods, please leave a comment. + 1. On the day Llama2 was released, some of the community members began experiments and found that output can be generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project. Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good recommendations for expansion models or methods, please leave a comment. -1. `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'` +1. `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'` - 1. Upgrade node to version 14.x or above: + 1. Upgrade node to version 14.x or above: - 1. `npm install -g n` - 1. `n stable` to install the stable version of node（v18.x） + 1. `npm install -g n` + 1. `n stable` to install the stable version of node（v18.x） diff --git a/docs/README_CN.md b/docs/README_CN.md index cc4dfee34..308d6a131 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -27,7 +27,7 @@ # MetaGPT: 多智能体框架 1. MetaGPT输入**一句话的老板需求**，输出**用户故事 / 竞品分析 / 需求 / 数据结构 / APIs / 文件等** 2. MetaGPT内部包括**产品经理 / 架构师 / 项目经理 / 工程师**，它提供了一个**软件公司**的全过程与精心调配的SOP - 1. `Code = SOP(Team)` 是核心哲学。我们将SOP具象化，并且用于LLM构成的团队 + 1. `Code = SOP(Team)` 是核心哲学。我们将SOP具象化，并且用于LLM构成的团队 ![一个完全由大语言模型角色构成的软件公司](resources/software_company_cd.jpeg) @@ -37,6 +37,7 @@ ## MetaGPT 的能力 https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419 + ## 示例（均由 GPT-4 生成） 例如，键入`python startup.py "写个类似今日头条的推荐系统"`并回车，你会获得一系列输出，其一是数据结构与API设计 @@ -80,9 +81,7 @@ # 第 3 步：克隆仓库到您的本地机器，并进行安装。 MMDC: "./node_modules/.bin/mmdc" ``` -- 如果`pip install -e.` - 失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` - ，请尝试使用`pip install -e. --user`运行。 +- 如果`pip install -e.`失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`，请尝试使用`pip install -e. --user`运行。 ### Docker安装 @@ -137,10 +136,10 @@ # 复制配置文件并进行必要的修改 cp config/config.yaml config/key.yaml ``` -| 变量名 | config/key.yaml | env | -|----------------------------|-------------------------------------------|-------------------------------------------------| +| 变量名 | config/key.yaml | env | +| ----------------------------------- | ----------------------------------------- | ----------------------------------------------- | | OPENAI_API_KEY # 用您自己的密钥替换 | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | -| OPENAI_API_BASE # 可选 | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | +| OPENAI_API_BASE # 可选 | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | ## 示例：启动一个创业公司 @@ -151,12 +150,9 @@ # 开启code review模式会花费更多的金钱, 但是会提升代码质量 ``` 运行脚本后，您可以在 `workspace/` 目录中找到您的新项目。 - ### 平台或工具的倾向性 - 可以在阐述需求时说明想要使用的平台或工具。 例如： - ```shell python startup.py "写一个基于pygame的命令行贪吃蛇" ``` @@ -209,8 +205,7 @@ ### 代码实现 你可以查看`examples`，其中有单角色（带知识库）的使用例子与仅LLM的使用例子。 ## 快速体验 - -对一些用户来说，安装配置本地环境是有困难的，下面这些教程能够让你快速体验到MetaGPT的魅力。 +对一些用户来说，安装配置本地环境是有困难的，下面这些教程能够让你快速体验到MetaGPT的魅力。 - [MetaGPT快速体验](https://deepwisdom.feishu.cn/wiki/Q8ycw6J9tiNXdHk66MRcIN8Pnlg) @@ -223,8 +218,7 @@ ## 联系信息 如果您对这个项目有任何问题或反馈，欢迎联系我们。我们非常欢迎您的建议！ - **邮箱：** alexanderwu@fuzhi.ai -- **GitHub 问题：** 对于更技术性的问题，您也可以在我们的 [GitHub 仓库](https://github.com/geekan/metagpt/issues) - 中创建一个新的问题。 +- **GitHub 问题：** 对于更技术性的问题，您也可以在我们的 [GitHub 仓库](https://github.com/geekan/metagpt/issues) 中创建一个新的问题。 我们会在2-3个工作日内回复所有问题。 diff --git a/docs/README_JA.md b/docs/README_JA.md index 040a852f6..6ffc80ac7 100644 --- a/docs/README_JA.md +++ b/docs/README_JA.md @@ -26,9 +26,8 @@ # MetaGPT: マルチエージェントフレームワーク

1. MetaGPT は、**1 行の要件** を入力とし、**ユーザーストーリー / 競合分析 / 要件 / データ構造 / API / 文書など** を出力します。 -2. MetaGPT には、**プロダクト マネージャー、アーキテクト、プロジェクト マネージャー、エンジニア** が含まれています。MetaGPT - は、**ソフトウェア会社のプロセス全体を、慎重に調整された SOP とともに提供します。** - 1. `Code = SOP(Team)` が基本理念です。私たちは SOP を具体化し、LLM で構成されるチームに適用します。 +2. MetaGPT には、**プロダクト マネージャー、アーキテクト、プロジェクト マネージャー、エンジニア** が含まれています。MetaGPT は、**ソフトウェア会社のプロセス全体を、慎重に調整された SOP とともに提供します。** + 1. `Code = SOP(Team)` が基本理念です。私たちは SOP を具体化し、LLM で構成されるチームに適用します。 ![ソフトウェア会社は LLM ベースの役割で構成されている](resources/software_company_cd.jpeg) @@ -38,6 +37,7 @@ ## MetaGPTの能力 https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419 + ## 例（GPT-4 で完全生成） 例えば、`python startup.py "Toutiao のような RecSys をデザインする"`と入力すると、多くの出力が得られます @@ -70,12 +70,10 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、 **注:** -- すでに Chrome、Chromium、MS Edge がインストールされている場合は、環境変数 `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` を `true` - に設定することで、 - Chromium のダウンロードをスキップすることができます。 +- すでに Chrome、Chromium、MS Edge がインストールされている場合は、環境変数 `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` を `true` に設定することで、 +Chromium のダウンロードをスキップすることができます。 -- このツールをグローバルにインストールする[問題を抱えている](https://github.com/mermaidjs/mermaid.cli/issues/15) - 人もいます。ローカルにインストールするのが代替の解決策です、 +- このツールをグローバルにインストールする[問題を抱えている](https://github.com/mermaidjs/mermaid.cli/issues/15)人もいます。ローカルにインストールするのが代替の解決策です、 ```bash npm install @mermaid-js/mermaid-cli @@ -88,9 +86,7 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、 MMDC: "./node_modules/.bin/mmdc" ``` -- もし `pip install -e.` - がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` - で失敗したら、代わりに `pip install -e. --user` を実行してみてください +- もし `pip install -e.` がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` で失敗したら、代わりに `pip install -e. --user` を実行してみてください ### Docker によるインストール @@ -145,10 +141,10 @@ # 設定ファイルをコピーし、必要な修正を加える。 cp config/config.yaml config/key.yaml ``` -| 変数名 | config/key.yaml | env | -|------------------------------|-------------------------------------------|-------------------------------------------------| +| 変数名 | config/key.yaml | env | +| --------------------------------------- | ----------------------------------------- | ----------------------------------------------- | | OPENAI_API_KEY # 自分のキーに置き換える | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." | -| OPENAI_API_BASE # オプション | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | +| OPENAI_API_BASE # オプション | OPENAI_API_BASE: "https:///v1" | export OPENAI_API_BASE="https:///v1" | ## チュートリアル: スタートアップの開始 @@ -225,7 +221,6 @@ ## クイックスタート - [MetaGPT クイックスタート](https://deepwisdom.feishu.cn/wiki/CyY9wdJc4iNqArku3Lncl4v8n2b) Hugging Face Space で試す - - https://huggingface.co/spaces/deepwisdom/MetaGPT ## 引用 @@ -248,8 +243,7 @@ ## お問い合わせ先 このプロジェクトに関するご質問やご意見がございましたら、お気軽にお問い合わせください。皆様のご意見をお待ちしております！ - **Email:** alexanderwu@fuzhi.ai -- **GitHub Issues:** 技術的なお問い合わせについては、[GitHub リポジトリ](https://github.com/geekan/metagpt/issues) に新しい - issue を作成することもできます。 +- **GitHub Issues:** 技術的なお問い合わせについては、[GitHub リポジトリ](https://github.com/geekan/metagpt/issues) に新しい issue を作成することもできます。 ご質問には 2-3 営業日以内に回答いたします。 diff --git a/docs/ROADMAP.md b/docs/ROADMAP.md index a205157c5..005a59ab2 100644 --- a/docs/ROADMAP.md +++ b/docs/ROADMAP.md @@ -1,3 +1,4 @@ + ## Roadmap ### Long-term Objective @@ -15,69 +16,67 @@ ### Tasks To reach version v0.5, approximately 70% of the following tasks need to be completed. 1. Usability - 1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully) - 2. Support for overall save and recovery of software companies - 3. Support human confirmation and modification during the process - 4. Support process caching: Consider carefully whether to add server caching mechanism - 5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through - stricter system prompts - 6. Write documentation, describing the current features and usage at all levels - 7. ~~Support Docker~~ + 1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully) + 2. Support for overall save and recovery of software companies + 3. Support human confirmation and modification during the process + 4. Support process caching: Consider carefully whether to add server caching mechanism + 5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts + 6. Write documentation, describing the current features and usage at all levels + 7. ~~Support Docker~~ 2. Features - 1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at) - 2. ~~Establish a separate output queue, differentiated from the message queue~~ - 3. Attempt to atomize all role work, but this may significantly increase token overhead - 4. Complete the design and implementation of module breakdown - 5. Support various modes of memory: clearly distinguish between long-term and short-term memory - 6. Perfect the test role, and carry out necessary interactions with humans - 7. Provide full mode instead of the current fast mode, allowing natural communication between roles - 8. Implement SkillManager and the process of incremental Skill learning - 9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need - to be manually configured + 1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at) + 2. ~~Establish a separate output queue, differentiated from the message queue~~ + 3. Attempt to atomize all role work, but this may significantly increase token overhead + 4. Complete the design and implementation of module breakdown + 5. Support various modes of memory: clearly distinguish between long-term and short-term memory + 6. Perfect the test role, and carry out necessary interactions with humans + 7. Provide full mode instead of the current fast mode, allowing natural communication between roles + 8. Implement SkillManager and the process of incremental Skill learning + 9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured 3. Strategies - 1. Support ReAct strategy - 2. Support CoT strategy - 3. Support ToT strategy - 4. Support Reflection strategy + 1. Support ReAct strategy + 2. Support CoT strategy + 3. Support ToT strategy + 4. Support Reflection strategy 4. Actions - 1. Implementation: Search - 2. Implementation: Knowledge search, supporting 10+ data formats - 3. Implementation: Data EDA - 4. Implementation: Review - 5. Implementation: Add Document - 6. Implementation: Delete Document - 7. Implementation: Self-training - 8. Implementation: DebugError - 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 - 13. Implementation: Data collection - 14. Implementation: AI training - 15. Implementation: Run code - 16. Implementation: Web access + 1. Implementation: Search + 2. Implementation: Knowledge search, supporting 10+ data formats + 3. Implementation: Data EDA + 4. Implementation: Review + 5. Implementation: Add Document + 6. Implementation: Delete Document + 7. Implementation: Self-training + 8. Implementation: DebugError + 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 + 13. Implementation: Data collection + 14. Implementation: AI training + 15. Implementation: Run code + 16. Implementation: Web access 5. Plugins: Compatibility with plugin system 6. Tools - 1. ~~Support SERPER api~~ - 2. ~~Support Selenium apis~~ - 3. ~~Support Playwright apis~~ + 1. ~~Support SERPER api~~ + 2. ~~Support Selenium apis~~ + 3. ~~Support Playwright apis~~ 7. Roles - 1. Perfect the action pool/skill pool for each role - 2. Red Book blogger - 3. E-commerce seller - 4. Data analyst - 5. News observer - 6. Institutional researcher + 1. Perfect the action pool/skill pool for each role + 2. Red Book blogger + 3. E-commerce seller + 4. Data analyst + 5. News observer + 6. Institutional researcher 8. Evaluation - 1. Support an evaluation on a game dataset - 2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results - 3. Support an evaluation on a math dataset - 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process + 1. Support an evaluation on a game dataset + 2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results + 3. Support an evaluation on a math dataset + 4. Reproduce papers, achieving SOTA results for current mathematical problem solving process 9. LLM - 1. Support Claude underlying API - 2. ~~Support Azure asynchronous API~~ - 3. Support streaming version of all APIs - 4. ~~Make gpt-3.5-turbo available (HARD)~~ + 1. Support Claude underlying API + 2. ~~Support Azure asynchronous API~~ + 3. Support streaming version of all APIs + 4. ~~Make gpt-3.5-turbo available (HARD)~~ 10. Other 1. Clean up existing unused code 2. Unify all code styles and establish contribution standards diff --git a/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg b/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg index c186e4ce5..785fdafcb 100644 --- a/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg +++ b/docs/resources/workspace/content_rec_sys/resources/competitive_analysis.svg @@ -1,128 +1 @@ - - Reach and engagement of campaigns - - - - - - - We should expand - - - - - Need to promote - - - - - Re-evaluate - - - - - May be improved - - - - - - - - - - - - - - - Our Target Product - - - - - Pinterest - - - - - Spotify - - - - - Amazon - - - - - Netflix - - - - - YouTube - - - - - Facebook - - - - - Jinri Toutiao - - - - - - Low Reach - - - - High Reach - - - - Low Engagement - - - - High Engagement - - - - - Reach and engagement of campaigns - - - - \ No newline at end of file +Reach and engagement of campaignsWe should expandNeed to promoteRe-evaluateMay be improvedOur Target ProductPinterestSpotifyAmazonNetflixYouTubeFacebookJinri ToutiaoLow ReachHigh ReachLow EngagementHigh EngagementReach and engagement of campaigns \ No newline at end of file diff --git a/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg b/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg index f9bf692df..a39c84375 100644 --- a/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg +++ b/docs/resources/workspace/content_rec_sys/resources/data_api_design.svg @@ -1,1020 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - -
- +predict(user_id: int, n_recommendations: int) : -> - List[int] - -
- - - - - - - - - -
- -
- - -
- ContentBasedFilteringModel -
- - -
- +DataFrame data -
- - -
- +str model_type -
- - -
- +__init__(data: DataFrame, model_type: str) : -> None -
- - -
- +fit() : -> None -
- - -
- +predict(user_id: int, n_recommendations: int) : -> - List[int] - -
- - - - - - - - - -
- -
- - -
- Recommender -
- - -
- +int user_id -
- - -
- +UserProfile user_profile -
- - -
- +CollaborativeFilteringModel cf_model -
- - -
- +ContentBasedFilteringModel cbf_model -
- - -
- +__init__(user_id: int, user_profile: UserProfile, cf_model: - CollaborativeFilteringModel, cbf_model: ContentBasedFilteringModel) : -> None - -
- - -
- +get_recommendations(n_recommendations: int) : -> List[int] - -
- - - - - - - - - -
- -
- - -
- ExperimentationPlatform -
- - -
- +List[Recommender] recommenders -
- - -
- +__init__(recommenders: List[Recommender]) : -> None -
- - -
- +run_experiment(user_id: int, n_recommendations: int) : -> - Dict[str, List[int]] - -
- - - - - - - - - -
- -
- - -
- Optimization -
- - -
- +Recommender recommender -
- - -
- +__init__(recommender: Recommender) : -> None -
- - -
- +optimize() : -> None -
- - - - - - - - - -
- -
- - -
- Feedback -
- - -
- +int user_id -
- - -
- +int content_id -
- - -
- +int rating -
- - -
- +__init__(user_id: int, content_id: int, rating: int) : -> - None - -
- - - - - - - - - -
- -
- - -
- Monitoring -
- - -
- +Recommender recommender -
- - -
- +__init__(recommender: Recommender) : -> None -
- - -
- +generate_report() : -> None -
- - - - - - - - - -
- -
- - -
- Advertising -
- - -
- +int advertiser_id -
- - -
- +str target_audience -
- - -
- +__init__(advertiser_id: int, target_audience: str) : -> - None - -
- - - - - - - - - -
- -
- - -
- Privacy -
- - -
- +User user -
- - -
- +__init__(user: User) : -> None -
- - -
- +ensure_privacy() : -> None -
- - - - - - - \ No newline at end of file +
1
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1
User
+int user_id
+str name
+str email
+DateTime created_at
+__init__(user_id: int, name: str, email: str) : -> None
UserProfile
+int user_id
+dict preferences
+dict history
+__init__(user_id: int, preferences: dict, history: dict) : -> None
Content
+int content_id
+str title
+str description
+str category
+DateTime published_at
+__init__(content_id: int, title: str, description: str, category: str, published_at: DateTime) : -> None
CollaborativeFilteringModel
+DataFrame data
+str model_type
+__init__(data: DataFrame, model_type: str) : -> None
+fit() : -> None
+predict(user_id: int, n_recommendations: int) : -> List[int]
ContentBasedFilteringModel
+DataFrame data
+str model_type
+__init__(data: DataFrame, model_type: str) : -> None
+fit() : -> None
+predict(user_id: int, n_recommendations: int) : -> List[int]
Recommender
+int user_id
+UserProfile user_profile
+CollaborativeFilteringModel cf_model
+ContentBasedFilteringModel cbf_model
+__init__(user_id: int, user_profile: UserProfile, cf_model: CollaborativeFilteringModel, cbf_model: ContentBasedFilteringModel) : -> None
+get_recommendations(n_recommendations: int) : -> List[int]
ExperimentationPlatform
+List[Recommender] recommenders
+__init__(recommenders: List[Recommender]) : -> None
+run_experiment(user_id: int, n_recommendations: int) : -> Dict[str, List[int]]
Optimization
+Recommender recommender
+__init__(recommender: Recommender) : -> None
+optimize() : -> None
Feedback
+int user_id
+int content_id
+int rating
+__init__(user_id: int, content_id: int, rating: int) : -> None
Monitoring
+Recommender recommender
+__init__(recommender: Recommender) : -> None
+generate_report() : -> None
Advertising
+int advertiser_id
+str target_audience
+__init__(advertiser_id: int, target_audience: str) : -> None
Privacy
+User user
+__init__(user: User) : -> None
+ensure_privacy() : -> None
 \ No newline at end of file diff --git a/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg b/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg index e73110109..d73482917 100644 --- a/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg +++ b/docs/resources/workspace/content_rec_sys/resources/seq_flow.svg @@ -1,342 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - User - - - - - - - - - UserProfile - - - - - - - - - Recommender - - - - - - - - - CollaborativeFilteringModel - - - - - - - - - ContentBasedFilteringModel - - - - - - - - - ExperimentationPlatform - - - - - - - - - Feedback - - - - - - - - - Optimization - - - - - - - - - Monitoring - - - - - - - - - Privacy - - - - - - - - - Advertising - - - - - - - - - - - - - - - - - - - - - - - - create UserProfile - - - create Recommender - - - fit model - - - fit model - - - run_experiment() - - - get_recommendations() - - - predict() - - - predict() - - - submit feedback - - - update models - - - fit model - - - fit model - - - optimize() - - - update models - - - generate_report() - - - ensure_privacy() - - - ensure_privacy() - - - - - - User - - - - - - UserProfile - - - - - - Recommender - - - - - - CollaborativeFilteringModel - - - - - - ContentBasedFilteringModel - - - - - - ExperimentationPlatform - - - - - - Feedback - - - - - - Optimization - - - - - - Monitoring - - - - - - Privacy - - - - - - Advertising - - - \ No newline at end of file +UserUserProfileRecommenderCollaborativeFilteringModelContentBasedFilteringModelExperimentationPlatformFeedbackOptimizationMonitoringPrivacyAdvertisingcreate UserProfilecreate Recommenderfit modelfit modelrun_experiment()get_recommendations()predict()predict()submit feedbackupdate modelsfit modelfit modeloptimize()update modelsgenerate_report()ensure_privacy()ensure_privacy()UserUserProfileRecommenderCollaborativeFilteringModelContentBasedFilteringModelExperimentationPlatformFeedbackOptimizationMonitoringPrivacyAdvertising \ No newline at end of file diff --git a/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg b/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg index 0b3ac4860..541df8d18 100644 --- a/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg +++ b/docs/resources/workspace/llmops_framework/resources/competitive_analysis.svg @@ -1,128 +1 @@ - - MLOps/LLMOps Frameworks for GPT-4 and LLMs - - - - - - - Leaders - - - - - Innovators - - - - - Laggards - - - - - Challengers - - - - - - - - - - - - - - - Our Target Product - - - - - AWS SageMaker - - - - - Azure Machine Learning - - - - - Kubeflow - - - - - MLflow - - - - - TensorFlow Extended - - - - - Comet - - - - - Weights & Biases - - - - - - Low Integration - - - - High Integration - - - - Low Usability - - - - High Usability - - - - - MLOps/LLMOps Frameworks for GPT-4 and LLMs - - - - \ No newline at end of file +MLOps/LLMOps Frameworks for GPT-4 and LLMsLeadersInnovatorsLaggardsChallengersOur Target ProductAWS SageMakerAzure Machine LearningKubeflowMLflowTensorFlow ExtendedCometWeights & BiasesLow IntegrationHigh IntegrationLow UsabilityHigh UsabilityMLOps/LLMOps Frameworks for GPT-4 and LLMs \ No newline at end of file diff --git a/docs/resources/workspace/llmops_framework/resources/data_api_design.svg b/docs/resources/workspace/llmops_framework/resources/data_api_design.svg index 6423bb4c3..244af9965 100644 --- a/docs/resources/workspace/llmops_framework/resources/data_api_design.svg +++ b/docs/resources/workspace/llmops_framework/resources/data_api_design.svg @@ -1,631 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - config - -
- - - - - - -
- 1 -
- - - - - - -
- 1 -
- - - - - -
- - dataset - -
- - - - - - -
- 1 -
- - - - - - -
- 1 -
- - - - - -
- - model - -
- - - - - - -
- 1 -
- - - - - - -
- 1 -
- - - - - -
- - model - -
- - - - - - -
- 1 -
- - - - - - -
- 1 -
- - - - - - - - - - -
- -
- - -
- ModelConfig -
- - -
- +model_name: str -
- - -
- +model_type: str -
- - -
- +config: Dict[str, Any] -
- - -
- +__init__(self, model_name: str, model_type: str, config: - Dict[str, Any]) - -
- - - - - - - - - -
- -
- - -
- Dataset -
- - -
- +dataset_name: str -
- - -
- +split: str -
- - -
- +tokenizer: PreTrainedTokenizer -
- - -
- +__init__(self, dataset_name: str, split: str, tokenizer: - PreTrainedTokenizer) - -
- - -
- +load_data(self) : -> Dataset -
- - -
- +preprocess_data(self, max_length: int) : -> Dataset -
- - - - - - - - - -
- -
- - -
- BaseModel -
- - -
- +model_config: ModelConfig -
- - -
- +model: Union[PreTrainedModel, nn.Module] -
- - -
- +__init__(self, model_config: ModelConfig) -
- - -
- +load_model(self) : -> Union[PreTrainedModel, nn.Module] - -
- - - - - - - - - -
- -
- - -
- FineTuningPipeline -
- - -
- +model: BaseModel -
- - -
- +dataset: Dataset -
- - -
- +training_args: TrainingArguments -
- - -
- +__init__(self, model: BaseModel, dataset: Dataset, - training_args: TrainingArguments) - -
- - -
- +train(self) : -> Tuple[Trainer, Dict[str, Any]] -
- - - - - - - - - -
- -
- - -
- Experiment -
- - -
- +name: str -
- - -
- +description: str -
- - -
- +__init__(self, name: str, description: str) -
- - -
- +start(self) : -> None -
- - -
- +log_metrics(self, metrics: Dict[str, Any]) : -> None -
- - -
- +end(self) : -> None -
- - - - - - - - - -
- -
- - -
- Artifact -
- - -
- +name: str -
- - -
- +artifact_type: str -
- - -
- +path: str -
- - -
- +__init__(self, name: str, artifact_type: str, path: str) -
- - -
- +save(self) : -> None -
- - -
- +load(self) : -> Any -
- - - - - - - - - -
- -
- - -
- ModelRegistry -
- - -
- +__init__(self) -
- - -
- +register_model(self, model: BaseModel, version: str) : -> - None - -
- - -
- +get_model(self, model_name: str, version: str) : -> - BaseModel - -
- - -
- +deploy_model(self, model_name: str, version: str) : -> - None - -
- - - - - - - - - -
- -
- - -
- ModelMonitoring -
- - -
- +model_registry: ModelRegistry -
- - -
- +__init__(self, model_registry: ModelRegistry) -
- - -
- +monitor_model(self, model_name: str, version: str) : -> - Dict[str, Any] - -
- - - - - - - \ No newline at end of file +
config
1
1
dataset
1
1
model
1
1
model
1
1
ModelConfig
+model_name: str
+model_type: str
+config: Dict[str, Any]
+__init__(self, model_name: str, model_type: str, config: Dict[str, Any])
Dataset
+dataset_name: str
+split: str
+tokenizer: PreTrainedTokenizer
+__init__(self, dataset_name: str, split: str, tokenizer: PreTrainedTokenizer)
+load_data(self) : -> Dataset
+preprocess_data(self, max_length: int) : -> Dataset
BaseModel
+model_config: ModelConfig
+model: Union[PreTrainedModel, nn.Module]
+__init__(self, model_config: ModelConfig)
+load_model(self) : -> Union[PreTrainedModel, nn.Module]
FineTuningPipeline
+model: BaseModel
+dataset: Dataset
+training_args: TrainingArguments
+__init__(self, model: BaseModel, dataset: Dataset, training_args: TrainingArguments)
+train(self) : -> Tuple[Trainer, Dict[str, Any]]
Experiment
+name: str
+description: str
+__init__(self, name: str, description: str)
+start(self) : -> None
+log_metrics(self, metrics: Dict[str, Any]) : -> None
+end(self) : -> None
Artifact
+name: str
+artifact_type: str
+path: str
+__init__(self, name: str, artifact_type: str, path: str)
+save(self) : -> None
+load(self) : -> Any
ModelRegistry
+__init__(self)
+register_model(self, model: BaseModel, version: str) : -> None
+get_model(self, model_name: str, version: str) : -> BaseModel
+deploy_model(self, model_name: str, version: str) : -> None
ModelMonitoring
+model_registry: ModelRegistry
+__init__(self, model_registry: ModelRegistry)
+monitor_model(self, model_name: str, version: str) : -> Dict[str, Any]
 \ No newline at end of file diff --git a/docs/resources/workspace/llmops_framework/resources/seq_flow.svg b/docs/resources/workspace/llmops_framework/resources/seq_flow.svg index 2519bd2ff..02a826df8 100644 --- a/docs/resources/workspace/llmops_framework/resources/seq_flow.svg +++ b/docs/resources/workspace/llmops_framework/resources/seq_flow.svg @@ -1,323 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - User - - - - - - - - - ModelConfig - - - - - - - - - Dataset - - - - - - - - - BaseModel - - - - - - - - - FineTuningPipeline - - - - - - - - - Experiment - - - - - - - - - Artifact - - - - - - - - - ModelRegistry - - - - - - - - - ModelMonitoring - - - - - - - - - - - - - - - - - - - - - - - - __init__(model_name, model_type, config) - - - __init__(dataset_name, split, tokenizer) - - - __init__(model_config) - - - __init__(model, dataset, training_args) - - - __init__(name, description) - - - __init__(name, artifact_type, path) - - - __init__() - - - __init__(model_registry) - - - load_data() - - - preprocess_data(max_length) - - - load_model() - - - train() - - - start() - - - log_metrics(metrics) - - - end() - - - save() - - - register_model(model, version) - - - monitor_model(model_name, version) - - - get_model(model_name, version) - - - deploy_model(model_name, version) - - - - - - User - - - - - - ModelConfig - - - - - - Dataset - - - - - - BaseModel - - - - - - FineTuningPipeline - - - - - - Experiment - - - - - - Artifact - - - - - - ModelRegistry - - - - - - ModelMonitoring - - - \ No newline at end of file +UserModelConfigDatasetBaseModelFineTuningPipelineExperimentArtifactModelRegistryModelMonitoring__init__(model_name, model_type, config)__init__(dataset_name, split, tokenizer)__init__(model_config)__init__(model, dataset, training_args)__init__(name, description)__init__(name, artifact_type, path)__init__()__init__(model_registry)load_data()preprocess_data(max_length)load_model()train()start()log_metrics(metrics)end()save()register_model(model, version)monitor_model(model_name, version)get_model(model_name, version)deploy_model(model_name, version)UserModelConfigDatasetBaseModelFineTuningPipelineExperimentArtifactModelRegistryModelMonitoring \ No newline at end of file diff --git a/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg b/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg index 684e608ef..43a164f19 100644 --- a/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg +++ b/docs/resources/workspace/match3_puzzle_game/resources/competitive_analysis.svg @@ -1,128 +1 @@ - - Reach and Engagement of Match-3 Games - - - - - - - Expand Features - - - - - Promote More - - - - - Re-evaluate - - - - - Improve Engagement - - - - - - - - - - - - - - - Our Target Product - - - - - Toon Blast - - - - - Fishdom - - - - - Gardenscapes - - - - - Homescapes - - - - - Gummy Drop! - - - - - Bejeweled - - - - - Candy Crush Saga - - - - - - Low Reach - - - - High Reach - - - - Low Engagement - - - - High Engagement - - - - - Reach and Engagement of Match-3 Games - - - - \ No newline at end of file +Reach and Engagement of Match-3 GamesExpand FeaturesPromote MoreRe-evaluateImprove EngagementOur Target ProductToon BlastFishdomGardenscapesHomescapesGummy Drop!BejeweledCandy Crush SagaLow ReachHigh ReachLow EngagementHigh EngagementReach and Engagement of Match-3 Games \ No newline at end of file diff --git a/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg b/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg index 4977a8e7a..95268f914 100644 --- a/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg +++ b/docs/resources/workspace/match3_puzzle_game/resources/data_api_design.svg @@ -1,947 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- -
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- -
- - - - - - -
- 1 -
- - - - - - -
- * -
- - - - - - - - - - -
- -
- - -
- Game -
- - -
- +__init__(self, user: User) -
- - -
- +start(self) -
- - -
- +play_level(self, level: Level) -
- - -
- +complete_level(self, level: Level, score: int) -
- - -
- +use_power_up(self, power_up: PowerUp) -
- - - - - - - - - -
- -
- - -
- User -
- - -
- +__init__(self, username: str, password: str) -
- - -
- +login(self) -
- - -
- +register(self) -
- - -
- +connect_social(self, social_platform: str) -
- - -
- +get_friends(self) : -> List[User] -
- - - - - - - - - -
- -
- - -
- Level -
- - -
- +__init__(self, level_data: Dict[str, Any]) -
- - -
- +load(self) -
- - -
- +generate(self) -
- - -
- +check_win(self) : -> bool -
- - -
- +get_objectives(self) : -> List[Objective] -
- - - - - - - - - -
- -
- - -
- Objective -
- - -
- +__init__(self, type: str, target: int) -
- - -
- +is_complete(self) : -> bool -
- - - - - - - - - -
- -
- - -
- PowerUp -
- - -
- +__init__(self, type: str, effect: Callable) -
- - -
- +apply(self, game: Game) -
- - - - - - - - - -
- -
- - -
- Reward -
- - -
- +__init__(self, type: str, value: Any) -
- - -
- +claim(self, user: User) -
- - - - - - - - - -
- -
- - -
- UI -
- - -
- +__init__(self, game: Game) -
- - -
- +render(self) -
- - -
- +handle_input(self, event: pygame.event.Event) -
- - - - - - - - - -
- -
- - -
- Social -
- - -
- +__init__(self, user: User) -
- - -
- +share(self, platform: str, content: str) -
- - -
- +invite(self, friend: User) -
- - -
- +compare_scores(self, friend: User) : -> Tuple[int, int] - -
- - - - - - - - - -
- -
- - -
- Platform -
- - -
- +__init__(self, game: Game) -
- - -
- +save(self, user: User) -
- - -
- +load(self, user: User) -
- - - - - - - - - -
- -
- - -
- Tutorial -
- - -
- +__init__(self, game: Game) -
- - -
- +start(self) -
- - -
- +next_step(self) -
- - -
- +complete(self) -
- - - - - - - - - -
- -
- - -
- IAP -
- - -
- +__init__(self, user: User) -
- - -
- +purchase(self, item: str) -
- - - - - - - - - -
- -
- - -
- Update -
- - -
- +__init__(self, game: Game) -
- - -
- +check_updates(self) : -> bool -
- - -
- +download_update(self) -
- - -
- +apply_update(self) -
- - - - - - - \ No newline at end of file +
1
1
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1
1
*
1
*
1
1
1
1
1
1
1
1
1
1
1
*
1
*
1
*
Game
+__init__(self, user: User)
+start(self)
+play_level(self, level: Level)
+complete_level(self, level: Level, score: int)
+use_power_up(self, power_up: PowerUp)
User
+__init__(self, username: str, password: str)
+login(self)
+register(self)
+connect_social(self, social_platform: str)
+get_friends(self) : -> List[User]
Level
+__init__(self, level_data: Dict[str, Any])
+load(self)
+generate(self)
+check_win(self) : -> bool
+get_objectives(self) : -> List[Objective]
Objective
+__init__(self, type: str, target: int)
+is_complete(self) : -> bool
PowerUp
+__init__(self, type: str, effect: Callable)
+apply(self, game: Game)
Reward
+__init__(self, type: str, value: Any)
+claim(self, user: User)
UI
+__init__(self, game: Game)
+render(self)
+handle_input(self, event: pygame.event.Event)
Social
+__init__(self, user: User)
+share(self, platform: str, content: str)
+invite(self, friend: User)
+compare_scores(self, friend: User) : -> Tuple[int, int]
Platform
+__init__(self, game: Game)
+save(self, user: User)
+load(self, user: User)
Tutorial
+__init__(self, game: Game)
+start(self)
+next_step(self)
+complete(self)
IAP
+__init__(self, user: User)
+purchase(self, item: str)
Update
+__init__(self, game: Game)
+check_updates(self) : -> bool
+download_update(self)
+apply_update(self)
 \ No newline at end of file diff --git a/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg b/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg index 533860c56..d1f914c1e 100644 --- a/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg +++ b/docs/resources/workspace/match3_puzzle_game/resources/seq_flow.svg @@ -1,425 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - User - - - - - - - - - Game - - - - - - - - - UI - - - - - - - - - Level - - - - - - - - - Objective - - - - - - - - - PowerUp - - - - - - - - - Reward - - - - - - - - - Social - - - - - - - - - Platform - - - - - - - - - Tutorial - - - - - - - - - IAP - - - - - - - - - Update - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - loop - - - [Each tutorial step] - - - - - - - - - - alt - - - [Level completed] - - - - - - - - - loop - - - [Each level] - - - - - - - - - alt - - - [Updates - - - available] - - - start() - - - start() - - - render() - - - handle_input(event) - - - next_step() - - - complete() - - - load() - - - generate() - - - render() - - - handle_input(event) - - - check_win() - - - claim(user) - - - apply(game) - - - share(platform, content) - - - save(user) - - - purchase(item) - - - check_updates() - - - download_update() - - - apply_update() - - - - - - User - - - - - - Game - - - - - - UI - - - - - - Level - - - - - - Objective - - - - - - PowerUp - - - - - - Reward - - - - - - Social - - - - - - Platform - - - - - - Tutorial - - - - - - IAP - - - - - - Update - - - \ No newline at end of file +UserGameUILevelObjectivePowerUpRewardSocialPlatformTutorialIAPUpdateloop[Each tutorial step]alt[Level completed]loop[Each level]alt[Updatesavailable]start()start()render()handle_input(event)next_step()complete()load()generate()render()handle_input(event)check_win()claim(user)apply(game)share(platform, content)save(user)purchase(item)check_updates()download_update()apply_update()UserGameUILevelObjectivePowerUpRewardSocialPlatformTutorialIAPUpdate \ No newline at end of file diff --git a/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg b/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg index 98686dff0..57edac51c 100644 --- a/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg +++ b/docs/resources/workspace/minimalist_pomodoro_timer/resources/competitive_analysis.svg @@ -1,116 +1 @@ - - Competitive Analysis of Pomodoro Timers - - - - - - - Our Product - - - - - Pomodoro Tracker - - - - - Tomato Timer - - - - - Pomofocus - - - - - - - - - - - - - - - PomoDone - - - - - Pomello - - - - - Pomofocus - - - - - Tomato Timer - - - - - Pomodoro Tracker - - - - - Our Product - - - - - - Low Functionality - - - - High Functionality - - - - High Complexity - - - - Low Complexity - - - - - Competitive Analysis of Pomodoro Timers - - - - \ No newline at end of file +Competitive Analysis of Pomodoro TimersOur ProductPomodoro TrackerTomato TimerPomofocusPomoDonePomelloPomofocusTomato TimerPomodoro TrackerOur ProductLow FunctionalityHigh FunctionalityHigh ComplexityLow ComplexityCompetitive Analysis of Pomodoro Timers \ No newline at end of file diff --git a/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg b/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg index d58333117..78378cee8 100644 --- a/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg +++ b/docs/resources/workspace/minimalist_pomodoro_timer/resources/data_api_design.svg @@ -1,203 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - uses - -
- - - - - - - - - - - -
- -
- - -
- PomodoroTimer -
- - -
- +__init__(self, session_length: int, break_length: int) -
- - -
- +start(self) : -> None -
- - -
- +pause(self) : -> None -
- - -
- +resume(self) : -> None -
- - -
- +reset(self) : -> None -
- - -
- +is_running(self) : -> bool -
- - - - - - - - - -
- -
- - -
- WebApp -
- - -
- +__init__(self) -
- - -
- +run(self) : -> None -
- - - - - - - \ No newline at end of file +
uses
PomodoroTimer
+__init__(self, session_length: int, break_length: int)
+start(self) : -> None
+pause(self) : -> None
+resume(self) : -> None
+reset(self) : -> None
+is_running(self) : -> bool
WebApp
+__init__(self)
+run(self) : -> None
 \ No newline at end of file diff --git a/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg b/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg index 50f75d8b7..cc5926374 100644 --- a/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg +++ b/docs/resources/workspace/minimalist_pomodoro_timer/resources/seq_flow.svg @@ -1,219 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - User - - - - - - - - - WebApp - - - - - - - - - PomodoroTimer - - - - - - - - - - - - - - - - - - - - - - - - - - - Countdown begins - - - - - - Countdown paused - - - - - - Countdown resumes - - - - - - Countdown reset - - - Access web app - - - Display index.html - - - Set session and break lengths - - - __init__(session_length, break_length) - - - Click "Start" button - - - start() - - - Click "Pause" button - - - pause() - - - Click "Resume" button - - - resume() - - - Click "Reset" button - - - reset() - - - Access help page - - - Display help.html - - - - - - User - - - - - - WebApp - - - - - - PomodoroTimer - - - \ No newline at end of file +UserWebAppPomodoroTimerCountdown beginsCountdown pausedCountdown resumesCountdown resetAccess web appDisplay index.htmlSet session and break lengths__init__(session_length, break_length)Click "Start" buttonstart()Click "Pause" buttonpause()Click "Resume" buttonresume()Click "Reset" buttonreset()Access help pageDisplay help.htmlUserWebAppPomodoroTimer \ No newline at end of file diff --git a/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg b/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg index 7c284f60b..14d378ed6 100644 --- a/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg +++ b/docs/resources/workspace/pyrogue/resources/competitive_analysis.svg @@ -1,128 +1 @@ - - Reach and Engagement of Roguelike Games - - - - - - - Expand and improve - - - - - Promote and maintain - - - - - Re-evaluate and iterate - - - - - Improve and innovate - - - - - - - - - - - - - - - Our Target Product - - - - - Dwarf Fortress Adventure Mode - - - - - ADOM - - - - - Tales of Maj'Eyal - - - - - Caves of Qud - - - - - Brogue - - - - - Dungeon Crawl Stone Soup - - - - - NetHack - - - - - - Low Reach - - - - High Reach - - - - Low Engagement - - - - High Engagement - - - - - Reach and Engagement of Roguelike Games - - - - \ No newline at end of file +Reach and Engagement of Roguelike GamesExpand and improvePromote and maintainRe-evaluate and iterateImprove and innovateOur Target ProductDwarf Fortress Adventure ModeADOMTales of Maj'EyalCaves of QudBrogueDungeon Crawl Stone SoupNetHackLow ReachHigh ReachLow EngagementHigh EngagementReach and Engagement of Roguelike Games \ No newline at end of file diff --git a/docs/resources/workspace/pyrogue/resources/data_api_design.svg b/docs/resources/workspace/pyrogue/resources/data_api_design.svg index dc4ccc940..1558d388b 100644 --- a/docs/resources/workspace/pyrogue/resources/data_api_design.svg +++ b/docs/resources/workspace/pyrogue/resources/data_api_design.svg @@ -1,747 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - - - - - - -
- -
- - -
- Game -
- - -
- +__init__(self, player: Player, level: Level, ui: UI, audio: - Audio) - -
- - -
- +run(self) -
- - -
- +handle_input(self, key: tcod.Key) -
- - -
- +update(self) -
- - -
- +render(self) -
- - - - - - - - - -
- -
- - -
- Level -
- - -
- +__init__(self, width: int, height: int) -
- - -
- +generate(self, algorithm: str) -
- - -
- +get_tile(self, x: int, y: int) : -> Tile -
- - -
- +spawn_entity(self, entity: Entity) -
- - -
- +remove_entity(self, entity: Entity) -
- - - - - - - - - -
- -
- - -
- Entity -
- - -
- +__init__(self, x: int, y: int, char: str, color: Tuple[int, - int, int]) - -
- - -
- +move(self, dx: int, dy: int) -
- - -
- +interact(self, other: Entity) -
- - - - - - - - - -
- -
- - -
- Player -
- - -
- +__init__(self, character_class: CharacterClass) -
- - -
- +gain_experience(self, amount: int) -
- - -
- +level_up(self) -
- - - - - - - - - -
- -
- - -
- CharacterClass -
- - -
- +__init__(self, name: str, abilities: List[str]) -
- - -
- +use_ability(self, ability: str, target: Entity) -
- - - - - - - - - -
- -
- - -
- Enemy -
- - -
- +__init__(self, ai: Callable) -
- - -
- +take_turn(self) -
- - - - - - - - - -
- -
- - -
- Item -
- - -
- +__init__(self, effect: Callable) -
- - -
- +use(self, target: Entity) -
- - - - - - - - - -
- -
- - -
- Trap -
- - -
- +__init__(self, effect: Callable) -
- - -
- +trigger(self, target: Entity) -
- - - - - - - - - -
- -
- - -
- UI -
- - -
- +__init__(self, width: int, height: int) -
- - -
- +draw(self, game: Game) -
- - -
- +show_message(self, message: str, color: Tuple[int, int, int]) - -
- - - - - - - - - -
- -
- - -
- Audio -
- - -
- +__init__(self) -
- - -
- +play_sound(self, sound: str) -
- - -
- +play_music(self, music: str) -
- - - - - - - - - -
- -
- - -
- SaveLoad -
- - -
- +__init__(self) -
- - -
- +save_game(self, game: Game, filename: str) -
- - -
- +load_game(self, filename: str) : -> Game -
- - - - - - - - - -
- -
- - -
- Tutorial -
- - -
- +__init__(self) -
- - -
- +show_help(self, game: Game) -
- - - - - - - - - -
- -
- - -
- Callable -
- - - - - - - \ No newline at end of file +
Game
+__init__(self, player: Player, level: Level, ui: UI, audio: Audio)
+run(self)
+handle_input(self, key: tcod.Key)
+update(self)
+render(self)
Level
+__init__(self, width: int, height: int)
+generate(self, algorithm: str)
+get_tile(self, x: int, y: int) : -> Tile
+spawn_entity(self, entity: Entity)
+remove_entity(self, entity: Entity)
Entity
+__init__(self, x: int, y: int, char: str, color: Tuple[int, int, int])
+move(self, dx: int, dy: int)
+interact(self, other: Entity)
Player
+__init__(self, character_class: CharacterClass)
+gain_experience(self, amount: int)
+level_up(self)
CharacterClass
+__init__(self, name: str, abilities: List[str])
+use_ability(self, ability: str, target: Entity)
Enemy
+__init__(self, ai: Callable)
+take_turn(self)
Item
+__init__(self, effect: Callable)
+use(self, target: Entity)
Trap
+__init__(self, effect: Callable)
+trigger(self, target: Entity)
UI
+__init__(self, width: int, height: int)
+draw(self, game: Game)
+show_message(self, message: str, color: Tuple[int, int, int])
Audio
+__init__(self)
+play_sound(self, sound: str)
+play_music(self, music: str)
SaveLoad
+__init__(self)
+save_game(self, game: Game, filename: str)
+load_game(self, filename: str) : -> Game
Tutorial
+__init__(self)
+show_help(self, game: Game)
Callable
 \ No newline at end of file diff --git a/docs/resources/workspace/pyrogue/resources/seq_flow.svg b/docs/resources/workspace/pyrogue/resources/seq_flow.svg index a389ade4b..7b4400ed6 100644 --- a/docs/resources/workspace/pyrogue/resources/seq_flow.svg +++ b/docs/resources/workspace/pyrogue/resources/seq_flow.svg @@ -1,354 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - Game - - - - - - - - - Player - - - - - - - - - Level - - - - - - - - - Entity - - - - - - - - - CharacterClass - - - - - - - - - UI - - - - - - - - - Audio - - - - - - - - - SaveLoad - - - - - - - - - Tutorial - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - loop - - - [Game - - - Loop] - - - __init__(character_class) - - - __init__(width, height) - - - __init__(width, height) - - - __init__() - - - __init__() - - - __init__() - - - handle_input(key) - - - update() - - - render() - - - use_ability(ability, target) - - - move(dx, dy) - - - interact(other) - - - generate(algorithm) - - - get_tile(x, y) - - - spawn_entity(entity) - - - remove_entity(entity) - - - draw(game) - - - show_message(message, color) - - - play_sound(sound) - - - play_music(music) - - - save_game(game, filename) - - - load_game(filename) - - - show_help(game) - - - - - - Game - - - - - - Player - - - - - - Level - - - - - - Entity - - - - - - CharacterClass - - - - - - UI - - - - - - Audio - - - - - - SaveLoad - - - - - - Tutorial - - - \ No newline at end of file +GamePlayerLevelEntityCharacterClassUIAudioSaveLoadTutorialloop[GameLoop]__init__(character_class)__init__(width, height)__init__(width, height)__init__()__init__()__init__()handle_input(key)update()render()use_ability(ability, target)move(dx, dy)interact(other)generate(algorithm)get_tile(x, y)spawn_entity(entity)remove_entity(entity)draw(game)show_message(message, color)play_sound(sound)play_music(music)save_game(game, filename)load_game(filename)show_help(game)GamePlayerLevelEntityCharacterClassUIAudioSaveLoadTutorial \ No newline at end of file diff --git a/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg b/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg index 0c6c0398c..3348a097c 100644 --- a/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg +++ b/docs/resources/workspace/search_algorithm_framework/resources/competitive_analysis.svg @@ -1,128 +1 @@ - - Search Algorithm Frameworks: Accuracy vs Speed - - - - - - - High potential for improvement - - - - - Fast but less accurate - - - - - Slow and less accurate - - - - - Fast and accurate - - - - - - - - - - - - - - - Our Target Product - - - - - Algolia - - - - - Solr - - - - - Elasticsearch - - - - - DuckDuckGo - - - - - Baidu - - - - - Bing - - - - - Google Search - - - - - - Low Accuracy - - - - High Accuracy - - - - Slow Speed - - - - Fast Speed - - - - - Search Algorithm Frameworks: Accuracy vs Speed - - - - \ No newline at end of file +Search Algorithm Frameworks: Accuracy vs SpeedHigh potential for improvementFast but less accurateSlow and less accurateFast and accurateOur Target ProductAlgoliaSolrElasticsearchDuckDuckGoBaiduBingGoogle SearchLow AccuracyHigh AccuracySlow SpeedFast SpeedSearch Algorithm Frameworks: Accuracy vs Speed \ No newline at end of file diff --git a/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg b/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg index a3939f0fb..2443dacc5 100644 --- a/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg +++ b/docs/resources/workspace/search_algorithm_framework/resources/data_api_design.svg @@ -1,515 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - -
- -
- - - - - - - - - - - -
- -
- - -
- SearchAPI -
- - -
- +search(query: str) : -> List[SearchResult] -
- - -
- +update_document(document: Document) : -> bool -
- - -
- +delete_document(document_id: str) : -> bool -
- - -
- +add_document(document: Document) : -> bool -
- - - - - - - - - -
- -
- - -
- Document -
- - -
- +__init__(document_id: str, title: str, content: str, language: - str) - -
- - - - - - - - - -
- -
- - -
- SearchResult -
- - -
- +__init__(document_id: str, title: str, score: float) -
- - - - - - - - - -
- -
- - -
- QueryUnderstanding -
- - -
- +process_query(query: str) : -> List[str] -
- - - - - - - - - -
- -
- - -
- Recall -
- - -
- +get_candidates(query_terms: List[str]) : -> List[Document] - -
- - - - - - - - - -
- -
- - -
- Ranking -
- - -
- +rank_documents(query_terms: List[str], candidates: - List[Document]) : -> List[SearchResult] - -
- - - - - - - - - -
- -
- - -
- Indexing -
- - -
- +index_document(document: Document) : -> bool -
- - -
- +update_document(document: Document) : -> bool -
- - -
- +delete_document(document_id: str) : -> bool -
- - - - - - - - - -
- -
- - -
- UserFeedback -
- - -
- +submit_feedback(feedback: Feedback) : -> bool -
- - - - - - - - - -
- -
- - -
- Feedback -
- - -
- +__init__(user_id: str, query: str, document_id: str, rating: - int) - -
- - - - - - - - - -
- -
- - -
- MachineLearning -
- - -
- +train_model(feedback_data: List[Feedback]) : -> bool -
- - -
- +predict_ranking(query_terms: List[str], candidates: - List[Document]) : -> List[float] - -
- - - - - - - - - -
- -
- - -
- Utils -
- - -
- +normalize_text(text: str) : -> str -
- - - - - - - \ No newline at end of file +
SearchAPI
+search(query: str) : -> List[SearchResult]
+update_document(document: Document) : -> bool
+delete_document(document_id: str) : -> bool
+add_document(document: Document) : -> bool
Document
+__init__(document_id: str, title: str, content: str, language: str)
SearchResult
+__init__(document_id: str, title: str, score: float)
QueryUnderstanding
+process_query(query: str) : -> List[str]
Recall
+get_candidates(query_terms: List[str]) : -> List[Document]
Ranking
+rank_documents(query_terms: List[str], candidates: List[Document]) : -> List[SearchResult]
Indexing
+index_document(document: Document) : -> bool
+update_document(document: Document) : -> bool
+delete_document(document_id: str) : -> bool
UserFeedback
+submit_feedback(feedback: Feedback) : -> bool
Feedback
+__init__(user_id: str, query: str, document_id: str, rating: int)
MachineLearning
+train_model(feedback_data: List[Feedback]) : -> bool
+predict_ranking(query_terms: List[str], candidates: List[Document]) : -> List[float]
Utils
+normalize_text(text: str) : -> str
 \ No newline at end of file diff --git a/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg b/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg index 4053034e6..19e39db28 100644 --- a/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg +++ b/docs/resources/workspace/search_algorithm_framework/resources/seq_flow.svg @@ -1,321 +1 @@ - - - - - - - - - - - - - - - - - - - - - - - - User - - - - - - - - - SearchAPI - - - - - - - - - QueryUnderstanding - - - - - - - - - Recall - - - - - - - - - Ranking - - - - - - - - - MachineLearning - - - - - - - - - UserFeedback - - - - - - - - - Indexing - - - - - - - - - - - - - - - - - - - - - - - - search(query) - - - process_query(query) - - - query_terms - - - get_candidates(query_terms) - - - candidates - - - rank_documents(query_terms, candidates) - - - predict_ranking(query_terms, candidates) - - - scores - - - search_results - - - search_results - - - submit_feedback(feedback) - - - submit_feedback(feedback) - - - feedback_status - - - feedback_status - - - update_document(document) - - - update_document(document) - - - update_status - - - delete_document(document_id) - - - delete_document(document_id) - - - delete_status - - - add_document(document) - - - index_document(document) - - - index_status - - - - - - User - - - - - - SearchAPI - - - - - - QueryUnderstanding - - - - - - Recall - - - - - - Ranking - - - - - - MachineLearning - - - - - - UserFeedback - - - - - - Indexing - - - \ No newline at end of file +UserSearchAPIQueryUnderstandingRecallRankingMachineLearningUserFeedbackIndexingsearch(query)process_query(query)query_termsget_candidates(query_terms)candidatesrank_documents(query_terms, candidates)predict_ranking(query_terms, candidates)scoressearch_resultssearch_resultssubmit_feedback(feedback)submit_feedback(feedback)feedback_statusfeedback_statusupdate_document(document)update_document(document)update_statusdelete_document(document_id)delete_document(document_id)delete_statusadd_document(document)index_document(document)index_statusUserSearchAPIQueryUnderstandingRecallRankingMachineLearningUserFeedbackIndexing \ No newline at end of file diff --git a/examples/agent_creator.py b/examples/agent_creator.py index 9131fc5ef..e03a88c6b 100644 --- a/examples/agent_creator.py +++ b/examples/agent_creator.py @@ -5,18 +5,18 @@ Author: garylin2099 ''' import re -from metagpt.actions import Action from metagpt.const import PROJECT_ROOT, WORKSPACE_ROOT -from metagpt.logs import logger +from metagpt.actions import Action from metagpt.roles import Role from metagpt.schema import Message +from metagpt.logs import logger with open(PROJECT_ROOT / "examples/build_customized_agent.py", "r") as f: # use official example script to guide AgentCreator MULTI_ACTION_AGENT_CODE_EXAMPLE = f.read() - class CreateAgent(Action): + PROMPT_TEMPLATE = """ ### BACKGROUND You are using an agent framework called metagpt to write agents capable of different actions, @@ -34,6 +34,7 @@ class CreateAgent(Action): """ async def run(self, example: str, instruction: str): + prompt = self.PROMPT_TEMPLATE.format(example=example, instruction=instruction) # logger.info(prompt) @@ -52,14 +53,13 @@ class CreateAgent(Action): f.write(code_text) return code_text - class AgentCreator(Role): def __init__( - self, - name: str = "Matrix", - profile: str = "AgentCreator", - agent_template: str = MULTI_ACTION_AGENT_CODE_EXAMPLE, - **kwargs, + self, + name: str = "Matrix", + profile: str = "AgentCreator", + agent_template: str = MULTI_ACTION_AGENT_CODE_EXAMPLE, + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([CreateAgent]) @@ -76,12 +76,11 @@ class AgentCreator(Role): return msg - if __name__ == "__main__": import asyncio - async def main(): + agent_template = MULTI_ACTION_AGENT_CODE_EXAMPLE creator = AgentCreator(agent_template=agent_template) @@ -98,5 +97,4 @@ if __name__ == "__main__": """ await creator.run(msg) - asyncio.run(main()) diff --git a/examples/build_customized_agent.py b/examples/build_customized_agent.py index b9e27608b..87d7a9c76 100644 --- a/examples/build_customized_agent.py +++ b/examples/build_customized_agent.py @@ -3,19 +3,19 @@ Filename: MetaGPT/examples/build_customized_agent.py Created Date: Tuesday, September 19th 2023, 6:52:25 pm Author: garylin2099 ''' -import asyncio import re import subprocess +import asyncio import fire from metagpt.actions import Action -from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Message - +from metagpt.logs import logger class SimpleWriteCode(Action): + PROMPT_TEMPLATE = """ Write a python function that can {instruction} and provide two runnnable test cases. Return ```python your_code_here ``` with NO other texts, @@ -35,6 +35,7 @@ class SimpleWriteCode(Action): super().__init__(name, context, llm) async def run(self, instruction: str): + prompt = self.PROMPT_TEMPLATE.format(instruction=instruction) rsp = await self._aask(prompt) @@ -50,7 +51,6 @@ class SimpleWriteCode(Action): code_text = match.group(1) if match else rsp return code_text - class SimpleRunCode(Action): def __init__(self, name="SimpleRunCode", context=None, llm=None): super().__init__(name, context, llm) @@ -61,13 +61,12 @@ class SimpleRunCode(Action): logger.info(f"{code_result=}") return code_result - class SimpleCoder(Role): def __init__( - self, - name: str = "Alice", - profile: str = "SimpleCoder", - **kwargs, + self, + name: str = "Alice", + profile: str = "SimpleCoder", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([SimpleWriteCode]) @@ -76,7 +75,7 @@ class SimpleCoder(Role): logger.info(f"{self._setting}: ready to {self._rc.todo}") todo = self._rc.todo - msg = self._rc.memory.get()[-1] # retrieve the latest memory + msg = self._rc.memory.get()[-1] # retrieve the latest memory instruction = msg.content code_text = await SimpleWriteCode().run(instruction) @@ -84,13 +83,12 @@ class SimpleCoder(Role): return msg - class RunnableCoder(Role): def __init__( - self, - name: str = "Alice", - profile: str = "RunnableCoder", - **kwargs, + self, + name: str = "Alice", + profile: str = "RunnableCoder", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([SimpleWriteCode, SimpleRunCode]) @@ -130,7 +128,6 @@ class RunnableCoder(Role): await self._act() return Message(content="All job done", role=self.profile) - def main(msg="write a function that calculates the sum of a list"): # role = SimpleCoder() role = RunnableCoder() @@ -138,6 +135,5 @@ def main(msg="write a function that calculates the sum of a list"): result = asyncio.run(role.run(msg)) logger.info(result) - if __name__ == '__main__': fire.Fire(main) diff --git a/examples/debate.py b/examples/debate.py index d0b9fecd8..05db28070 100644 --- a/examples/debate.py +++ b/examples/debate.py @@ -5,15 +5,13 @@ Author: garylin2099 ''' import asyncio import platform - import fire +from metagpt.software_company import SoftwareCompany from metagpt.actions import Action, BossRequirement -from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Message -from metagpt.software_company import SoftwareCompany - +from metagpt.logs import logger class ShoutOut(Action): """Action: Shout out loudly in a debate (quarrel)""" @@ -33,6 +31,7 @@ class ShoutOut(Action): super().__init__(name, context, llm) async def run(self, context: str, name: str, opponent_name: str): + prompt = self.PROMPT_TEMPLATE.format(context=context, name=name, opponent_name=opponent_name) # logger.info(prompt) @@ -40,13 +39,12 @@ class ShoutOut(Action): return rsp - class Trump(Role): def __init__( - self, - name: str = "Trump", - profile: str = "Republican", - **kwargs, + self, + name: str = "Trump", + profile: str = "Republican", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([ShoutOut]) @@ -57,7 +55,7 @@ class Trump(Role): async def _observe(self) -> int: await super()._observe() # accept messages sent (from opponent) to self, disregard own messages from the last round - self._rc.news = [msg for msg in self._rc.news if msg.send_to == self.name] + self._rc.news = [msg for msg in self._rc.news if msg.send_to == self.name] return len(self._rc.news) async def _act(self) -> Message: @@ -81,13 +79,12 @@ class Trump(Role): return msg - class Biden(Role): def __init__( - self, - name: str = "Biden", - profile: str = "Democrat", - **kwargs, + self, + name: str = "Biden", + profile: str = "Democrat", + **kwargs, ): super().__init__(name, profile, **kwargs) self._init_actions([ShoutOut]) @@ -123,7 +120,6 @@ class Biden(Role): return msg - async def startup(idea: str, investment: float = 3.0, n_round: int = 5, code_review: bool = False, run_tests: bool = False): """We reuse the startup paradigm for roles to interact with each other. diff --git a/examples/search_with_specific_engine.py b/examples/search_with_specific_engine.py index 9309e18bd..7cc431cd4 100644 --- a/examples/search_with_specific_engine.py +++ b/examples/search_with_specific_engine.py @@ -6,12 +6,11 @@ from metagpt.tools import SearchEngineType async def main(): # Serper API - # await Searcher(engine = SearchEngineType.SERPER_GOOGLE).run(["What are some good sun protection products?","What are some of the best beaches?"]) + #await Searcher(engine = SearchEngineType.SERPER_GOOGLE).run(["What are some good sun protection products?","What are some of the best beaches?"]) # SerpAPI - # await Searcher(engine=SearchEngineType.SERPAPI_GOOGLE).run("What are the best ski brands for skiers?") + #await Searcher(engine=SearchEngineType.SERPAPI_GOOGLE).run("What are the best ski brands for skiers?") # Google API await Searcher(engine=SearchEngineType.DIRECT_GOOGLE).run("What are the most interesting human facts?") - if __name__ == '__main__': asyncio.run(main()) diff --git a/examples/sk_agent.py b/examples/sk_agent.py index 5236ed8ce..a7513e838 100644 --- a/examples/sk_agent.py +++ b/examples/sk_agent.py @@ -9,6 +9,7 @@ import asyncio from semantic_kernel.core_skills import FileIOSkill, MathSkill, TextSkill, TimeSkill from semantic_kernel.planning import SequentialPlanner + # from semantic_kernel.planning import SequentialPlanner from semantic_kernel.planning.action_planner.action_planner import ActionPlanner diff --git a/examples/use_off_the_shelf_agent.py b/examples/use_off_the_shelf_agent.py index 0debcf780..2e10068bd 100644 --- a/examples/use_off_the_shelf_agent.py +++ b/examples/use_off_the_shelf_agent.py @@ -5,9 +5,8 @@ Author: garylin2099 ''' import asyncio -from metagpt.logs import logger from metagpt.roles.product_manager import ProductManager - +from metagpt.logs import logger async def main(): msg = "Write a PRD for a snake game" @@ -15,6 +14,5 @@ async def main(): result = await role.run(msg) logger.info(result.content[:100]) - if __name__ == '__main__': asyncio.run(main()) diff --git a/examples/write_tutorial.py b/examples/write_tutorial.py index 73a9c71b7..71ece5527 100644 --- a/examples/write_tutorial.py +++ b/examples/write_tutorial.py @@ -18,3 +18,4 @@ async def main(): if __name__ == '__main__': asyncio.run(main()) + diff --git a/metagpt/_compat.py b/metagpt/_compat.py index 30abcde2f..c442bd7de 100644 --- a/metagpt/_compat.py +++ b/metagpt/_compat.py @@ -8,14 +8,12 @@ if sys.implementation.name == "cpython" and platform.system() == "Windows": if sys.version_info[:2] == (3, 9): from asyncio.proactor_events import _ProactorBasePipeTransport - # https://github.com/python/cpython/pull/92842 def pacth_del(self, _warn=warnings.warn): if self._sock is not None: _warn(f"unclosed transport {self!r}", ResourceWarning, source=self) self._sock.close() - _ProactorBasePipeTransport.__del__ = pacth_del if sys.version_info >= (3, 9, 0): diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py index 0ae7b148b..790295d55 100644 --- a/metagpt/actions/action.py +++ b/metagpt/actions/action.py @@ -51,12 +51,12 @@ class Action(ABC): @retry(stop=stop_after_attempt(3), wait=wait_fixed(1)) async def _aask_v1( - self, - prompt: str, - output_class_name: str, - output_data_mapping: dict, - system_msgs: Optional[list[str]] = None, - format="markdown", # compatible to original format + self, + prompt: str, + output_class_name: str, + output_data_mapping: dict, + system_msgs: Optional[list[str]] = None, + format="markdown", # compatible to original format ) -> ActionOutput: """Append default prefix""" if not system_msgs: diff --git a/metagpt/actions/action_output.py b/metagpt/actions/action_output.py index c0b88dcf9..ea7f4fb80 100644 --- a/metagpt/actions/action_output.py +++ b/metagpt/actions/action_output.py @@ -40,3 +40,4 @@ class ActionOutput: new_class.__validator_check_name = classmethod(check_name) new_class.__root_validator_check_missing_fields = classmethod(check_missing_fields) return new_class + \ No newline at end of file diff --git a/metagpt/actions/add_requirement.py b/metagpt/actions/add_requirement.py index 16e14b3a4..7dc09d062 100644 --- a/metagpt/actions/add_requirement.py +++ b/metagpt/actions/add_requirement.py @@ -10,6 +10,5 @@ from metagpt.actions import Action class BossRequirement(Action): """Boss Requirement without any implementation details""" - async def run(self, *args, **kwargs): raise NotImplementedError diff --git a/metagpt/actions/clone_function.py b/metagpt/actions/clone_function.py index 7529a60c7..cf7d22f04 100644 --- a/metagpt/actions/clone_function.py +++ b/metagpt/actions/clone_function.py @@ -1,5 +1,5 @@ -import traceback from pathlib import Path +import traceback from metagpt.actions.write_code import WriteCode from metagpt.logs import logger diff --git a/metagpt/actions/debug_error.py b/metagpt/actions/debug_error.py index 304b1bc3e..d69a22dba 100644 --- a/metagpt/actions/debug_error.py +++ b/metagpt/actions/debug_error.py @@ -7,8 +7,8 @@ """ import re -from metagpt.actions.action import Action from metagpt.logs import logger +from metagpt.actions.action import Action from metagpt.utils.common import CodeParser PROMPT_TEMPLATE = """ @@ -24,8 +24,6 @@ The message is as follows: Now you should start rewriting the code: ## file name of the code to rewrite: Write code with triple quoto. Do your best to implement THIS IN ONLY ONE FILE. """ - - class DebugError(Action): def __init__(self, name="DebugError", context=None, llm=None): super().__init__(name, context, llm) @@ -35,17 +33,17 @@ class DebugError(Action): # f"\n\n{error}\n\nPlease try to fix the error in this code." # fixed_code = await self._aask(prompt) # return fixed_code - + async def run(self, context): if "PASS" in context: return "", "the original code works fine, no need to debug" - + file_name = re.search("## File To Rewrite:\s*(.+\\.py)", context).group(1) logger.info(f"Debug and rewrite {file_name}") prompt = PROMPT_TEMPLATE.format(context=context) - + rsp = await self._aask(prompt) code = CodeParser.parse_code(block="", text=rsp) diff --git a/metagpt/actions/design_api_review.py b/metagpt/actions/design_api_review.py index 687a33652..9bb822a62 100644 --- a/metagpt/actions/design_api_review.py +++ b/metagpt/actions/design_api_review.py @@ -19,3 +19,4 @@ class DesignReview(Action): api_review = await self._aask(prompt) return api_review + \ No newline at end of file diff --git a/metagpt/actions/design_filenames.py b/metagpt/actions/design_filenames.py index 6c3d8e803..29400e950 100644 --- a/metagpt/actions/design_filenames.py +++ b/metagpt/actions/design_filenames.py @@ -26,3 +26,4 @@ class DesignFilenames(Action): logger.debug(prompt) logger.debug(design_filenames) return design_filenames + \ No newline at end of file diff --git a/metagpt/actions/detail_mining.py b/metagpt/actions/detail_mining.py index ffae26f9f..e29d6911b 100644 --- a/metagpt/actions/detail_mining.py +++ b/metagpt/actions/detail_mining.py @@ -6,6 +6,7 @@ @File : detail_mining.py """ from metagpt.actions import Action, ActionOutput +from metagpt.logs import logger PROMPT_TEMPLATE = """ ##TOPIC @@ -42,7 +43,6 @@ OUTPUT_MAPPING = { class DetailMining(Action): """This class allows LLM to further mine noteworthy details based on specific "##TOPIC"(discussion topic) and "##RECORD" (discussion records), thereby deepening the discussion. """ - def __init__(self, name="", context=None, llm=None): super().__init__(name, context, llm) diff --git a/metagpt/actions/prepare_interview.py b/metagpt/actions/prepare_interview.py index cbaa1d56b..5db3a9f37 100644 --- a/metagpt/actions/prepare_interview.py +++ b/metagpt/actions/prepare_interview.py @@ -27,7 +27,6 @@ Requirement: Provide a list of questions for the interviewer to ask the intervie Attention: Provide as markdown block as the format above, at least 10 questions. """ - # prepare for a interview @@ -39,3 +38,4 @@ class PrepareInterview(Action): prompt = PROMPT_TEMPLATE.format(context=context) question_list = await self._aask_v1(prompt) return question_list + diff --git a/metagpt/actions/research.py b/metagpt/actions/research.py index 8a5778230..49a981e86 100644 --- a/metagpt/actions/research.py +++ b/metagpt/actions/research.py @@ -3,6 +3,7 @@ from __future__ import annotations import asyncio +import json from typing import Callable from pydantic import parse_obj_as @@ -59,6 +60,7 @@ a comprehensive summary of the text. {content} ''' + CONDUCT_RESEARCH_PROMPT = '''### Reference Information {content} @@ -76,13 +78,12 @@ above. The report must meet the following requirements: class CollectLinks(Action): """Action class to collect links from a search engine.""" - def __init__( - self, - name: str = "", - *args, - rank_func: Callable[[list[str]], None] | None = None, - **kwargs, + self, + name: str = "", + *args, + rank_func: Callable[[list[str]], None] | None = None, + **kwargs, ): super().__init__(name, *args, **kwargs) self.desc = "Collect links from a search engine." @@ -90,11 +91,11 @@ class CollectLinks(Action): self.rank_func = rank_func async def run( - self, - topic: str, - decomposition_nums: int = 4, - url_per_query: int = 4, - system_text: str | None = None, + self, + topic: str, + decomposition_nums: int = 4, + url_per_query: int = 4, + system_text: str | None = None, ) -> dict[str, list[str]]: """Run the action to collect links. @@ -119,16 +120,13 @@ class CollectLinks(Action): def gen_msg(): while True: - search_results = "\n".join( - f"#### Keyword: {i}\n Search Result: {j}\n" for (i, j) in zip(keywords, results)) - prompt = SUMMARIZE_SEARCH_PROMPT.format(decomposition_nums=decomposition_nums, - search_results=search_results) + search_results = "\n".join(f"#### Keyword: {i}\n Search Result: {j}\n" for (i, j) in zip(keywords, results)) + prompt = SUMMARIZE_SEARCH_PROMPT.format(decomposition_nums=decomposition_nums, search_results=search_results) yield prompt remove = max(results, key=len) remove.pop() if len(remove) == 0: break - prompt = reduce_message_length(gen_msg(), self.llm.model, system_text, CONFIG.max_tokens_rsp) logger.debug(prompt) queries = await self._aask(prompt, [system_text]) @@ -174,12 +172,11 @@ class CollectLinks(Action): class WebBrowseAndSummarize(Action): """Action class to explore the web and provide summaries of articles and webpages.""" - def __init__( - self, - *args, - browse_func: Callable[[list[str]], None] | None = None, - **kwargs, + self, + *args, + browse_func: Callable[[list[str]], None] | None = None, + **kwargs, ): super().__init__(*args, **kwargs) if CONFIG.model_for_researcher_summary: @@ -191,11 +188,11 @@ class WebBrowseAndSummarize(Action): self.desc = "Explore the web and provide summaries of articles and webpages." async def run( - self, - url: str, - *urls: str, - query: str, - system_text: str = RESEARCH_BASE_SYSTEM, + self, + url: str, + *urls: str, + query: str, + system_text: str = RESEARCH_BASE_SYSTEM, ) -> dict[str, str]: """Run the action to browse the web and provide summaries. @@ -217,8 +214,7 @@ class WebBrowseAndSummarize(Action): for u, content in zip([url, *urls], contents): content = content.inner_text chunk_summaries = [] - for prompt in generate_prompt_chunk(content, prompt_template, self.llm.model, system_text, - CONFIG.max_tokens_rsp): + for prompt in generate_prompt_chunk(content, prompt_template, self.llm.model, system_text, CONFIG.max_tokens_rsp): logger.debug(prompt) summary = await self._aask(prompt, [system_text]) if summary == "Not relevant.": @@ -242,17 +238,16 @@ class WebBrowseAndSummarize(Action): class ConductResearch(Action): """Action class to conduct research and generate a research report.""" - def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) if CONFIG.model_for_researcher_report: self.llm.model = CONFIG.model_for_researcher_report async def run( - self, - topic: str, - content: str, - system_text: str = RESEARCH_BASE_SYSTEM, + self, + topic: str, + content: str, + system_text: str = RESEARCH_BASE_SYSTEM, ) -> str: """Run the action to conduct research and generate a research report. diff --git a/metagpt/actions/run_code.py b/metagpt/actions/run_code.py index 52f95d3bf..f69d2cd1a 100644 --- a/metagpt/actions/run_code.py +++ b/metagpt/actions/run_code.py @@ -99,7 +99,7 @@ class RunCode(Action): return stdout.decode("utf-8"), stderr.decode("utf-8") async def run( - self, code, mode="script", code_file_name="", test_code="", test_file_name="", command=[], **kwargs + self, code, mode="script", code_file_name="", test_code="", test_file_name="", command=[], **kwargs ) -> str: logger.info(f"Running {' '.join(command)}") if mode == "script": diff --git a/metagpt/actions/search_and_summarize.py b/metagpt/actions/search_and_summarize.py index a13db28d2..069f2a977 100644 --- a/metagpt/actions/search_and_summarize.py +++ b/metagpt/actions/search_and_summarize.py @@ -54,6 +54,7 @@ SEARCH_AND_SUMMARIZE_PROMPT = """ """ + SEARCH_AND_SUMMARIZE_SALES_SYSTEM = """## Requirements 1. Please summarize the latest dialogue based on the reference information (secondary) and dialogue history (primary). Do not include text that is irrelevant to the conversation. - The context is for reference only. If it is irrelevant to the user's search request history, please reduce its reference and usage. @@ -139,3 +140,4 @@ class SearchAndSummarize(Action): logger.debug(prompt) logger.debug(result) return result + \ No newline at end of file diff --git a/metagpt/actions/write_code.py b/metagpt/actions/write_code.py index 8e26dd9be..c000805c5 100644 --- a/metagpt/actions/write_code.py +++ b/metagpt/actions/write_code.py @@ -5,14 +5,13 @@ @Author : alexanderwu @File : write_code.py """ -from tenacity import retry, stop_after_attempt, wait_fixed - from metagpt.actions import WriteDesign from metagpt.actions.action import Action from metagpt.const import WORKSPACE_ROOT from metagpt.logs import logger from metagpt.schema import Message from metagpt.utils.common import CodeParser +from tenacity import retry, stop_after_attempt, wait_fixed PROMPT_TEMPLATE = """ NOTICE @@ -80,3 +79,4 @@ class WriteCode(Action): # code_rsp = await self._aask_v1(prompt, "code_rsp", OUTPUT_MAPPING) # self._save(context, filename, code) return code + \ No newline at end of file diff --git a/metagpt/actions/write_code_review.py b/metagpt/actions/write_code_review.py index 6211d5e1e..4ff4d6cf6 100644 --- a/metagpt/actions/write_code_review.py +++ b/metagpt/actions/write_code_review.py @@ -6,12 +6,11 @@ @File : write_code_review.py """ -from tenacity import retry, stop_after_attempt, wait_fixed - from metagpt.actions.action import Action from metagpt.logs import logger from metagpt.schema import Message from metagpt.utils.common import CodeParser +from tenacity import retry, stop_after_attempt, wait_fixed PROMPT_TEMPLATE = """ NOTICE @@ -80,3 +79,4 @@ class WriteCodeReview(Action): # code_rsp = await self._aask_v1(prompt, "code_rsp", OUTPUT_MAPPING) # self._save(context, filename, code) return code + \ No newline at end of file diff --git a/metagpt/actions/write_docstring.py b/metagpt/actions/write_docstring.py index a9c90ce9b..5c7815793 100644 --- a/metagpt/actions/write_docstring.py +++ b/metagpt/actions/write_docstring.py @@ -162,9 +162,9 @@ class WriteDocstring(Action): self.desc = "Write docstring for code." async def run( - self, code: str, - system_text: str = PYTHON_DOCSTRING_SYSTEM, - style: Literal["google", "numpy", "sphinx"] = "google", + self, code: str, + system_text: str = PYTHON_DOCSTRING_SYSTEM, + style: Literal["google", "numpy", "sphinx"] = "google", ) -> str: """Writes docstrings for the given code and system text in the specified style. @@ -202,7 +202,6 @@ def _simplify_python_code(code: str) -> None: if __name__ == "__main__": import fire - async def run(filename: str, overwrite: bool = False, style: Literal["google", "numpy", "sphinx"] = "google"): with open(filename) as f: code = f.read() @@ -212,5 +211,4 @@ if __name__ == "__main__": f.write(code) return code - fire.Fire(run) diff --git a/metagpt/actions/write_prd_review.py b/metagpt/actions/write_prd_review.py index 5ff9624c5..5c922d3bc 100644 --- a/metagpt/actions/write_prd_review.py +++ b/metagpt/actions/write_prd_review.py @@ -25,3 +25,4 @@ class WritePRDReview(Action): prompt = self.prd_review_prompt_template.format(prd=self.prd) review = await self._aask(prompt) return review + \ No newline at end of file diff --git a/metagpt/actions/write_tutorial.py b/metagpt/actions/write_tutorial.py index 7bf844e43..23e3560e8 100644 --- a/metagpt/actions/write_tutorial.py +++ b/metagpt/actions/write_tutorial.py @@ -65,3 +65,4 @@ class WriteContent(Action): """ prompt = CONTENT_PROMPT.format(topic=topic, language=self.language, directory=self.directory) return await self._aask(prompt=prompt) + diff --git a/metagpt/const.py b/metagpt/const.py index 457eba698..b8b08628e 100644 --- a/metagpt/const.py +++ b/metagpt/const.py @@ -13,9 +13,9 @@ def get_project_root(): current_path = Path.cwd() while True: if ( - (current_path / ".git").exists() - or (current_path / ".project_root").exists() - or (current_path / ".gitignore").exists() + (current_path / ".git").exists() + or (current_path / ".project_root").exists() + or (current_path / ".gitignore").exists() ): return current_path parent_path = current_path.parent diff --git a/metagpt/document_store/base_store.py b/metagpt/document_store/base_store.py index 3969ce289..5d7015e8b 100644 --- a/metagpt/document_store/base_store.py +++ b/metagpt/document_store/base_store.py @@ -53,3 +53,4 @@ class LocalStore(BaseStore, ABC): @abstractmethod def _write(self, docs, metadatas): raise NotImplementedError + \ No newline at end of file diff --git a/metagpt/document_store/chromadb_store.py b/metagpt/document_store/chromadb_store.py index 6ec097592..d2ecc05f6 100644 --- a/metagpt/document_store/chromadb_store.py +++ b/metagpt/document_store/chromadb_store.py @@ -10,7 +10,6 @@ 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): client = chromadb.Client() collection = client.create_collection(name) diff --git a/metagpt/document_store/document.py b/metagpt/document_store/document.py index 85e416c65..e4b9473c7 100644 --- a/metagpt/document_store/document.py +++ b/metagpt/document_store/document.py @@ -79,3 +79,4 @@ class Document: return self._get_docs_and_metadatas_by_langchain() else: raise NotImplementedError + \ No newline at end of file diff --git a/metagpt/document_store/qdrant_store.py b/metagpt/document_store/qdrant_store.py index 80016e4ad..98b82cf87 100644 --- a/metagpt/document_store/qdrant_store.py +++ b/metagpt/document_store/qdrant_store.py @@ -38,11 +38,11 @@ class QdrantStore(BaseStore): raise Exception("please check QdrantConnection.") def create_collection( - self, - collection_name: str, - vectors_config: VectorParams, - force_recreate=False, - **kwargs, + self, + collection_name: str, + vectors_config: VectorParams, + force_recreate=False, + **kwargs, ): """ create a collection @@ -97,12 +97,12 @@ class QdrantStore(BaseStore): ) def search( - self, - collection_name: str, - query: List[float], - query_filter: Filter = None, - k=10, - return_vector=False, + self, + collection_name: str, + query: List[float], + query_filter: Filter = None, + k=10, + return_vector=False, ): """ vector search diff --git a/metagpt/inspect_module.py b/metagpt/inspect_module.py index fcdd4f0b7..a89ac1c5e 100644 --- a/metagpt/inspect_module.py +++ b/metagpt/inspect_module.py @@ -25,4 +25,4 @@ def print_classes_and_functions(module): if __name__ == '__main__': - print_classes_and_functions(metagpt) + print_classes_and_functions(metagpt) \ No newline at end of file diff --git a/metagpt/llm.py b/metagpt/llm.py index 6a9a9132f..e6f815950 100644 --- a/metagpt/llm.py +++ b/metagpt/llm.py @@ -12,7 +12,6 @@ from metagpt.provider.openai_api import OpenAIGPTAPI as LLM DEFAULT_LLM = LLM() CLAUDE_LLM = Claude() - async def ai_func(prompt): """使用LLM进行QA QA with LLMs diff --git a/metagpt/logs.py b/metagpt/logs.py index 0adee23ff..b2052e9b8 100644 --- a/metagpt/logs.py +++ b/metagpt/logs.py @@ -12,7 +12,6 @@ from loguru import logger as _logger from metagpt.const import PROJECT_ROOT - def define_log_level(print_level="INFO", logfile_level="DEBUG"): """调整日志级别到level之上 Adjust the log level to above level @@ -22,5 +21,4 @@ def define_log_level(print_level="INFO", logfile_level="DEBUG"): _logger.add(PROJECT_ROOT / 'logs/log.txt', level=logfile_level) return _logger - logger = define_log_level() diff --git a/metagpt/manager.py b/metagpt/manager.py index e6bf77c8b..9d238c621 100644 --- a/metagpt/manager.py +++ b/metagpt/manager.py @@ -51,7 +51,7 @@ class Manager: # chosen_role_name = self.llm.ask(self.prompt_template.format(context)) # FIXME: 现在通过简单的字典决定流向，但之后还是应该有思考过程 - # The direction of flow is now determined by a simple dictionary, but there should still be a thought process afterwards + #The direction of flow is now determined by a simple dictionary, but there should still be a thought process afterwards next_role_profile = self.role_directions[message.role] # logger.debug(f"{next_role_profile}") for _, role in roles.items(): diff --git a/metagpt/memory/__init__.py b/metagpt/memory/__init__.py index e65ee7642..710930626 100644 --- a/metagpt/memory/__init__.py +++ b/metagpt/memory/__init__.py @@ -6,8 +6,9 @@ @File : __init__.py """ -from metagpt.memory.longterm_memory import LongTermMemory from metagpt.memory.memory import Memory +from metagpt.memory.longterm_memory import LongTermMemory + __all__ = [ "Memory", diff --git a/metagpt/memory/longterm_memory.py b/metagpt/memory/longterm_memory.py index e0b8e68c1..f8abea5f3 100644 --- a/metagpt/memory/longterm_memory.py +++ b/metagpt/memory/longterm_memory.py @@ -68,3 +68,4 @@ class LongTermMemory(Memory): def clear(self): super(LongTermMemory, self).clear() self.memory_storage.clean() + \ No newline at end of file diff --git a/metagpt/memory/memory.py b/metagpt/memory/memory.py index 282f5fe33..c818fa707 100644 --- a/metagpt/memory/memory.py +++ b/metagpt/memory/memory.py @@ -85,3 +85,4 @@ class Memory: continue rsp += self.index[action] return rsp + \ No newline at end of file diff --git a/metagpt/memory/memory_storage.py b/metagpt/memory/memory_storage.py index 5cd4cac47..302d96aa7 100644 --- a/metagpt/memory/memory_storage.py +++ b/metagpt/memory/memory_storage.py @@ -2,16 +2,16 @@ # -*- coding: utf-8 -*- # @Desc : the implement of memory storage -from pathlib import Path from typing import List +from pathlib import Path from langchain.vectorstores.faiss import FAISS from metagpt.const import DATA_PATH, MEM_TTL -from metagpt.document_store.faiss_store import FaissStore from metagpt.logs import logger from metagpt.schema import Message from metagpt.utils.serialize import serialize_message, deserialize_message +from metagpt.document_store.faiss_store import FaissStore class MemoryStorage(FaissStore): @@ -104,3 +104,4 @@ class MemoryStorage(FaissStore): self.store = None self._initialized = False + \ No newline at end of file diff --git a/metagpt/prompts/decompose.py b/metagpt/prompts/decompose.py index 4ede8b138..ab0c360d3 100644 --- a/metagpt/prompts/decompose.py +++ b/metagpt/prompts/decompose.py @@ -16,6 +16,7 @@ The requirements of the tree-structure plan are: 4. The sub-goals at the bottom level should be basic actions so that I can easily execute them in the game. """ + DECOMPOSE_USER = """USER: The goal is to {goal description}. Generate the plan according to the requirements. """ diff --git a/metagpt/prompts/generate_skill.md b/metagpt/prompts/generate_skill.md index 1d0a68688..74948cd15 100644 --- a/metagpt/prompts/generate_skill.md +++ b/metagpt/prompts/generate_skill.md @@ -66,10 +66,9 @@ # PRD return prd ``` + The main class/function is WritePRD. Then you should write: -This class is designed to generate a PRD based on input requirements. Notably, there's a template prompt with sections -for product, function, goals, user scenarios, requirements, constraints, performance metrics. This template gets filled -with input requirements and then queries a big language model to produce the detailed PRD. \ No newline at end of file +This class is designed to generate a PRD based on input requirements. Notably, there's a template prompt with sections for product, function, goals, user scenarios, requirements, constraints, performance metrics. This template gets filled with input requirements and then queries a big language model to produce the detailed PRD. \ No newline at end of file diff --git a/metagpt/prompts/sales.py b/metagpt/prompts/sales.py index 08e7b28f8..a44aacafe 100644 --- a/metagpt/prompts/sales.py +++ b/metagpt/prompts/sales.py @@ -6,6 +6,7 @@ @File : sales.py """ + SALES_ASSISTANT = """You are a sales assistant helping your sales agent to determine which stage of a sales conversation should the agent move to, or stay at. Following '===' is the conversation history. Use this conversation history to make your decision. @@ -28,6 +29,7 @@ The answer needs to be one number only, no words. If there is no conversation history, output 1. Do not answer anything else nor add anything to you answer.""" + SALES = """Never forget your name is {salesperson_name}. You work as a {salesperson_role}. You work at company named {company_name}. {company_name}'s business is the following: {company_business} Company values are the following. {company_values} @@ -52,11 +54,10 @@ Conversation history: {salesperson_name}: """ -conversation_stages = { - '1': "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.", - '2': "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.", - '3': "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.", - '4': "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.", - '5': "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.", - '6': "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.", - '7': "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits."} +conversation_stages = {'1' : "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.", +'2': "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.", +'3': "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.", +'4': "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.", +'5': "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.", +'6': "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.", +'7': "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits."} diff --git a/metagpt/prompts/summarize.py b/metagpt/prompts/summarize.py index bd5d69558..42d34b8a5 100644 --- a/metagpt/prompts/summarize.py +++ b/metagpt/prompts/summarize.py @@ -20,6 +20,7 @@ summary. Pick a suitable emoji for every bullet point. Your response should be i a YouTube video, use the following text: {{CONTENT}}. """ + # GCP-VertexAI-Text Summarization (SUMMARIZE_PROMPT_2-5 are from this source) # https://github.com/GoogleCloudPlatform/generative-ai/blob/main/language/examples/prompt-design/text_summarization.ipynb # Long documents require a map-reduce process, see the following notebook @@ -38,6 +39,7 @@ Summary: """ + SUMMARIZE_PROMPT_3 = """ Provide a TL;DR for the following article: @@ -51,6 +53,7 @@ Instead of computing on the individual qubits themselves, we will then compute o TL;DR: """ + SUMMARIZE_PROMPT_4 = """ Provide a very short summary in four bullet points for the following article: @@ -65,6 +68,7 @@ Bulletpoints: """ + SUMMARIZE_PROMPT_5 = """ Please generate a summary of the following conversation and at the end summarize the to-do's for the support Agent: diff --git a/metagpt/prompts/tutorial_assistant.py b/metagpt/prompts/tutorial_assistant.py index fe31e5f2a..d690aad83 100644 --- a/metagpt/prompts/tutorial_assistant.py +++ b/metagpt/prompts/tutorial_assistant.py @@ -36,4 +36,4 @@ Strictly limit output according to the following requirements: 3. The output must be strictly in the specified language, {language}. 4. Do not have redundant output, including concluding remarks. 5. Strict requirement not to output the topic "{topic}". -""" +""" \ No newline at end of file diff --git a/metagpt/prompts/use_lib_sop.py b/metagpt/prompts/use_lib_sop.py index edebbe9c7..b43ed5125 100644 --- a/metagpt/prompts/use_lib_sop.py +++ b/metagpt/prompts/use_lib_sop.py @@ -73,6 +73,7 @@ The action_list can contain arbitrary number of actions. The args of each action 6. I will execute your code step by step and give you feedback. If some action fails, I will stop at that action and will not execute its following actions. The feedback will include error messages about the failed action. At that time, you should replan and write the new code just starting from that failed action. """ + SOP_USER = """USER: My current state: - inventory: {inventory} diff --git a/metagpt/provider/__init__.py b/metagpt/provider/__init__.py index 8c64cd4e1..56dc19b4b 100644 --- a/metagpt/provider/__init__.py +++ b/metagpt/provider/__init__.py @@ -8,4 +8,5 @@ from metagpt.provider.openai_api import OpenAIGPTAPI + __all__ = ["OpenAIGPTAPI"] diff --git a/metagpt/provider/anthropic_api.py b/metagpt/provider/anthropic_api.py index 03802a716..7293e2cde 100644 --- a/metagpt/provider/anthropic_api.py +++ b/metagpt/provider/anthropic_api.py @@ -32,3 +32,4 @@ class Claude2: max_tokens_to_sample=1000, ) return res.completion + \ No newline at end of file diff --git a/metagpt/provider/base_chatbot.py b/metagpt/provider/base_chatbot.py index a960d1c05..abdf423f4 100644 --- a/metagpt/provider/base_chatbot.py +++ b/metagpt/provider/base_chatbot.py @@ -25,3 +25,4 @@ class BaseChatbot(ABC): @abstractmethod def ask_code(self, msgs: list) -> str: """Ask GPT multiple questions and get a piece of code""" + \ No newline at end of file diff --git a/metagpt/provider/base_gpt_api.py b/metagpt/provider/base_gpt_api.py index f39e708eb..de61167b9 100644 --- a/metagpt/provider/base_gpt_api.py +++ b/metagpt/provider/base_gpt_api.py @@ -115,3 +115,4 @@ class BaseGPTAPI(BaseChatbot): def messages_to_dict(self, messages): """objects to [{"role": "user", "content": msg}] etc.""" return [i.to_dict() for i in messages] + \ No newline at end of file diff --git a/metagpt/provider/openai_api.py b/metagpt/provider/openai_api.py index 6b2c2941d..7e865f288 100644 --- a/metagpt/provider/openai_api.py +++ b/metagpt/provider/openai_api.py @@ -41,7 +41,7 @@ class RateLimiter: self.rpm = rpm def split_batches(self, batch): - return [batch[i: i + self.rpm] for i in range(0, len(batch), self.rpm)] + return [batch[i : i + self.rpm] for i in range(0, len(batch), self.rpm)] async def wait_if_needed(self, num_requests): current_time = time.time() @@ -83,9 +83,8 @@ class CostManager(metaclass=Singleton): self.total_prompt_tokens += prompt_tokens self.total_completion_tokens += completion_tokens cost = ( - prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model][ - "completion"] - ) / 1000 + prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model]["completion"] + ) / 1000 self.total_cost += cost logger.info( f"Total running cost: ${self.total_cost:.3f} | Max budget: ${CONFIG.max_budget:.3f} | " diff --git a/metagpt/roles/__init__.py b/metagpt/roles/__init__.py index 34ec144a1..1768b786c 100644 --- a/metagpt/roles/__init__.py +++ b/metagpt/roles/__init__.py @@ -6,15 +6,16 @@ @File : __init__.py """ -from metagpt.roles.architect import Architect -from metagpt.roles.customer_service import CustomerService -from metagpt.roles.engineer import Engineer -from metagpt.roles.product_manager import ProductManager -from metagpt.roles.project_manager import ProjectManager -from metagpt.roles.qa_engineer import QaEngineer from metagpt.roles.role import Role -from metagpt.roles.sales import Sales +from metagpt.roles.architect import Architect +from metagpt.roles.project_manager import ProjectManager +from metagpt.roles.product_manager import ProductManager +from metagpt.roles.engineer import Engineer +from metagpt.roles.qa_engineer import QaEngineer from metagpt.roles.seacher import Searcher +from metagpt.roles.sales import Sales +from metagpt.roles.customer_service import CustomerService + __all__ = [ "Role", diff --git a/metagpt/roles/architect.py b/metagpt/roles/architect.py index e86bd4eb6..15d5fe5b1 100644 --- a/metagpt/roles/architect.py +++ b/metagpt/roles/architect.py @@ -23,11 +23,11 @@ class Architect(Role): """ def __init__( - self, - name: str = "Bob", - profile: str = "Architect", - goal: str = "Design a concise, usable, complete python system", - constraints: str = "Try to specify good open source tools as much as possible", + self, + name: str = "Bob", + profile: str = "Architect", + goal: str = "Design a concise, usable, complete python system", + constraints: str = "Try to specify good open source tools as much as possible", ) -> None: """Initializes the Architect with given attributes.""" super().__init__(name, profile, goal, constraints) diff --git a/metagpt/roles/customer_service.py b/metagpt/roles/customer_service.py index 4aae7cb03..4547f8190 100644 --- a/metagpt/roles/customer_service.py +++ b/metagpt/roles/customer_service.py @@ -32,3 +32,4 @@ class CustomerService(Sales): store=None ): super().__init__(name, profile, desc=desc, store=store) + \ No newline at end of file diff --git a/metagpt/roles/engineer.py b/metagpt/roles/engineer.py index d1f11475f..6d65575a8 100644 --- a/metagpt/roles/engineer.py +++ b/metagpt/roles/engineer.py @@ -61,13 +61,13 @@ class Engineer(Role): """ def __init__( - self, - name: str = "Alex", - profile: str = "Engineer", - goal: str = "Write elegant, readable, extensible, efficient code", - constraints: str = "The code should conform to standards like PEP8 and be modular and maintainable", - n_borg: int = 1, - use_code_review: bool = False, + self, + name: str = "Alex", + profile: str = "Engineer", + goal: str = "Write elegant, readable, extensible, efficient code", + constraints: str = "The code should conform to standards like PEP8 and be modular and maintainable", + n_borg: int = 1, + use_code_review: bool = False, ) -> None: """Initializes the Engineer role with given attributes.""" super().__init__(name, profile, goal, constraints) diff --git a/metagpt/roles/product_manager.py b/metagpt/roles/product_manager.py index dbf3b5f0f..a58ea5385 100644 --- a/metagpt/roles/product_manager.py +++ b/metagpt/roles/product_manager.py @@ -21,11 +21,11 @@ class ProductManager(Role): """ def __init__( - self, - name: str = "Alice", - profile: str = "Product Manager", - goal: str = "Efficiently create a successful product", - constraints: str = "", + self, + name: str = "Alice", + profile: str = "Product Manager", + goal: str = "Efficiently create a successful product", + constraints: str = "", ) -> None: """ Initializes the ProductManager role with given attributes. diff --git a/metagpt/roles/project_manager.py b/metagpt/roles/project_manager.py index 0706b982f..7e7c5699d 100644 --- a/metagpt/roles/project_manager.py +++ b/metagpt/roles/project_manager.py @@ -22,11 +22,11 @@ class ProjectManager(Role): """ def __init__( - self, - name: str = "Eve", - profile: str = "Project Manager", - goal: str = "Improve team efficiency and deliver with quality and quantity", - constraints: str = "", + self, + name: str = "Eve", + profile: str = "Project Manager", + goal: str = "Improve team efficiency and deliver with quality and quantity", + constraints: str = "", ) -> None: """ Initializes the ProjectManager role with given attributes. diff --git a/metagpt/roles/prompt.py b/metagpt/roles/prompt.py index fdfe45c02..c22e0226b 100644 --- a/metagpt/roles/prompt.py +++ b/metagpt/roles/prompt.py @@ -23,7 +23,6 @@ SUFFIX = """Let's begin! Question: {input} Thoughts: {agent_scratchpad}""" - class PromptString(Enum): REFLECTION_QUESTIONS = "Here are some statements:\n{memory_descriptions}\n\nBased solely on the information above, what are the 3 most prominent high-level questions we can answer about the topic in the statements?\n\n{format_instructions}" diff --git a/metagpt/roles/qa_engineer.py b/metagpt/roles/qa_engineer.py index 97a4d3c13..a763c2ce8 100644 --- a/metagpt/roles/qa_engineer.py +++ b/metagpt/roles/qa_engineer.py @@ -26,12 +26,12 @@ from metagpt.utils.special_tokens import FILENAME_CODE_SEP, MSG_SEP class QaEngineer(Role): def __init__( - self, - name="Edward", - profile="QaEngineer", - goal="Write comprehensive and robust tests to ensure codes will work as expected without bugs", - constraints="The test code you write should conform to code standard like PEP8, be modular, easy to read and maintain", - test_round_allowed=5, + self, + name="Edward", + profile="QaEngineer", + goal="Write comprehensive and robust tests to ensure codes will work as expected without bugs", + constraints="The test code you write should conform to code standard like PEP8, be modular, easy to read and maintain", + test_round_allowed=5, ): super().__init__(name, profile, goal, constraints) self._init_actions( diff --git a/metagpt/roles/researcher.py b/metagpt/roles/researcher.py index cdda49075..acb46c718 100644 --- a/metagpt/roles/researcher.py +++ b/metagpt/roles/researcher.py @@ -21,13 +21,13 @@ class Report(BaseModel): class Researcher(Role): def __init__( - self, - name: str = "David", - profile: str = "Researcher", - goal: str = "Gather information and conduct research", - constraints: str = "Ensure accuracy and relevance of information", - language: str = "en-us", - **kwargs, + self, + name: str = "David", + profile: str = "Researcher", + goal: str = "Gather information and conduct research", + constraints: str = "Ensure accuracy and relevance of information", + language: str = "en-us", + **kwargs, ): super().__init__(name, profile, goal, constraints, **kwargs) self._init_actions([CollectLinks(name), WebBrowseAndSummarize(name), ConductResearch(name)]) @@ -93,10 +93,8 @@ class Researcher(Role): if __name__ == "__main__": import fire - async def main(topic: str, language="en-us"): role = Researcher(topic, language=language) await role.run(topic) - fire.Fire(main) diff --git a/metagpt/roles/sales.py b/metagpt/roles/sales.py index 51b13f487..a45ad6f1b 100644 --- a/metagpt/roles/sales.py +++ b/metagpt/roles/sales.py @@ -32,3 +32,4 @@ class Sales(Role): else: action = SearchAndSummarize() self._init_actions([action]) + \ No newline at end of file diff --git a/metagpt/roles/seacher.py b/metagpt/roles/seacher.py index 1b786f830..0b6e089da 100644 --- a/metagpt/roles/seacher.py +++ b/metagpt/roles/seacher.py @@ -23,13 +23,13 @@ class Searcher(Role): constraints (str): Constraints or limitations for the searcher. engine (SearchEngineType): The type of search engine to use. """ - - def __init__(self, - name: str = 'Alice', - profile: str = 'Smart Assistant', + + def __init__(self, + name: str = 'Alice', + profile: str = 'Smart Assistant', goal: str = 'Provide search services for users', - constraints: str = 'Answer is rich and complete', - engine=SearchEngineType.SERPAPI_GOOGLE, + constraints: str = 'Answer is rich and complete', + engine=SearchEngineType.SERPAPI_GOOGLE, **kwargs) -> None: """ Initializes the Searcher role with given attributes. @@ -53,7 +53,7 @@ class Searcher(Role): """Performs the search action in a single process.""" logger.info(f"{self._setting}: ready to {self._rc.todo}") response = await self._rc.todo.run(self._rc.memory.get(k=0)) - + if isinstance(response, ActionOutput): msg = Message(content=response.content, instruct_content=response.instruct_content, role=self.profile, cause_by=type(self._rc.todo)) diff --git a/metagpt/roles/sk_agent.py b/metagpt/roles/sk_agent.py index 05723cc80..b27841d74 100644 --- a/metagpt/roles/sk_agent.py +++ b/metagpt/roles/sk_agent.py @@ -29,12 +29,12 @@ class SkAgent(Role): """ def __init__( - self, - name: str = "Sunshine", - profile: str = "sk_agent", - goal: str = "Execute task based on passed in task description", - constraints: str = "", - planner_cls=BasicPlanner, + self, + name: str = "Sunshine", + profile: str = "sk_agent", + goal: str = "Execute task based on passed in task description", + constraints: str = "", + planner_cls=BasicPlanner, ) -> None: """Initializes the Engineer role with given attributes.""" super().__init__(name, profile, goal, constraints) diff --git a/metagpt/roles/tutorial_assistant.py b/metagpt/roles/tutorial_assistant.py index 19327a6d4..9a7df4f4d 100644 --- a/metagpt/roles/tutorial_assistant.py +++ b/metagpt/roles/tutorial_assistant.py @@ -29,12 +29,12 @@ class TutorialAssistant(Role): """ def __init__( - self, - name: str = "Stitch", - profile: str = "Tutorial Assistant", - goal: str = "Generate tutorial documents", - constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout", - language: str = "Chinese", + self, + name: str = "Stitch", + profile: str = "Tutorial Assistant", + goal: str = "Generate tutorial documents", + constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout", + language: str = "Chinese", ): super().__init__(name, profile, goal, constraints) self._init_actions([WriteDirectory(language=language)]) diff --git a/metagpt/schema.py b/metagpt/schema.py index 7d91d87ec..bdca093c2 100644 --- a/metagpt/schema.py +++ b/metagpt/schema.py @@ -50,7 +50,6 @@ class UserMessage(Message): """便于支持OpenAI的消息 Facilitate support for OpenAI messages """ - def __init__(self, content: str): super().__init__(content, 'user') @@ -60,7 +59,6 @@ class SystemMessage(Message): """便于支持OpenAI的消息 Facilitate support for OpenAI messages """ - def __init__(self, content: str): super().__init__(content, 'system') @@ -70,7 +68,6 @@ class AIMessage(Message): """便于支持OpenAI的消息 Facilitate support for OpenAI messages """ - def __init__(self, content: str): super().__init__(content, 'assistant') diff --git a/metagpt/skills/WriterSkill/Brainstorm/config.json b/metagpt/skills/WriterSkill/Brainstorm/config.json index fa2cf3314..f50a354e7 100644 --- a/metagpt/skills/WriterSkill/Brainstorm/config.json +++ b/metagpt/skills/WriterSkill/Brainstorm/config.json @@ -8,9 +8,7 @@ "top_p": 1.0, "presence_penalty": 0.0, "frequency_penalty": 0.0, - "stop_sequences": [ - "##END##" - ] + "stop_sequences": ["##END##"] }, "input": { "parameters": [ diff --git a/metagpt/software_company.py b/metagpt/software_company.py index 8f173ebf3..b2bd18c58 100644 --- a/metagpt/software_company.py +++ b/metagpt/software_company.py @@ -59,3 +59,4 @@ class SoftwareCompany(BaseModel): self._check_balance() await self.environment.run() return self.environment.history + \ No newline at end of file diff --git a/metagpt/tools/__init__.py b/metagpt/tools/__init__.py index d5cef0e46..d98087e4b 100644 --- a/metagpt/tools/__init__.py +++ b/metagpt/tools/__init__.py @@ -6,6 +6,7 @@ @File : __init__.py """ + from enum import Enum diff --git a/metagpt/tools/code_interpreter.py b/metagpt/tools/code_interpreter.py index cb6230bab..97398ccfd 100644 --- a/metagpt/tools/code_interpreter.py +++ b/metagpt/tools/code_interpreter.py @@ -1,16 +1,16 @@ -import inspect import re -import textwrap -from pathlib import Path from typing import List, Callable +from pathlib import Path import wrapt +import textwrap +import inspect from interpreter.interpreter import Interpreter -from metagpt.actions.clone_function import CloneFunction, run_function_code, run_function_script -from metagpt.config import CONFIG from metagpt.logs import logger +from metagpt.config import CONFIG from metagpt.utils.highlight import highlight +from metagpt.actions.clone_function import CloneFunction, run_function_code, run_function_script def extract_python_code(code: str): @@ -36,7 +36,6 @@ def extract_python_code(code: str): class OpenCodeInterpreter(object): """https://github.com/KillianLucas/open-interpreter""" - def __init__(self, auto_run: bool = True) -> None: interpreter = Interpreter() interpreter.auto_run = auto_run @@ -127,5 +126,4 @@ class OpenInterpreterDecorator(object): except Exception as e: raise Exception("Could not evaluate Python code", e) return res - return wrapper(wrapped) diff --git a/metagpt/tools/prompt_writer.py b/metagpt/tools/prompt_writer.py index 35358307e..d90599206 100644 --- a/metagpt/tools/prompt_writer.py +++ b/metagpt/tools/prompt_writer.py @@ -10,7 +10,6 @@ from typing import Union class GPTPromptGenerator: """Using LLM, given an output, request LLM to provide input (supporting instruction, chatbot, and query styles)""" - def __init__(self): self._generators = {i: getattr(self, f"gen_{i}_style") for i in ['instruction', 'chatbot', 'query']} diff --git a/metagpt/tools/sd_engine.py b/metagpt/tools/sd_engine.py index 4e40951bc..1d9cd0b2a 100644 --- a/metagpt/tools/sd_engine.py +++ b/metagpt/tools/sd_engine.py @@ -10,8 +10,8 @@ import os from os.path import join from typing import List -from PIL import Image, PngImagePlugin from aiohttp import ClientSession +from PIL import Image, PngImagePlugin from metagpt.config import Config from metagpt.const import WORKSPACE_ROOT @@ -64,12 +64,12 @@ class SDEngine: logger.info(self.sd_t2i_url) def construct_payload( - self, - prompt, - negtive_prompt=default_negative_prompt, - width=512, - height=512, - sd_model="galaxytimemachinesGTM_photoV20", + self, + prompt, + negtive_prompt=default_negative_prompt, + width=512, + height=512, + sd_model="galaxytimemachinesGTM_photoV20", ): # Configure the payload with provided inputs self.payload["prompt"] = prompt @@ -120,13 +120,11 @@ def decode_base64_to_image(img, save_name): image.save(f"{save_name}.png", pnginfo=pnginfo) return pnginfo, image - def batch_decode_base64_to_image(imgs, save_dir="", save_name=""): for idx, _img in enumerate(imgs): save_name = join(save_dir, save_name) decode_base64_to_image(_img, save_name=save_name) - if __name__ == "__main__": engine = SDEngine() prompt = "pixel style, game design, a game interface should be minimalistic and intuitive with the score and high score displayed at the top. The snake and its food should be easily distinguishable. The game should have a simple color scheme, with a contrasting color for the snake and its food. Complete interface boundary" diff --git a/metagpt/tools/search_engine.py b/metagpt/tools/search_engine.py index e87519291..942ef7edd 100644 --- a/metagpt/tools/search_engine.py +++ b/metagpt/tools/search_engine.py @@ -20,7 +20,7 @@ class SkSearchEngine: @sk_function( description="searches results from Google. Useful when you need to find short " - "and succinct answers about a specific topic. Input should be a search query.", + "and succinct answers about a specific topic. Input should be a search query.", name="searchAsync", input_description="search", ) @@ -42,7 +42,7 @@ class SearchEngine: """ def __init__( - self, + self, engine: Optional[SearchEngineType] = None, run_func: Callable[[str, int, bool], Coroutine[None, None, Union[str, list[str]]]] = None, ): @@ -68,19 +68,19 @@ class SearchEngine: @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[True] = True, + self, + query: str, + max_results: int = 8, + as_string: Literal[True] = True, ) -> str: ... @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[False] = False, + self, + query: str, + max_results: int = 8, + as_string: Literal[False] = False, ) -> list[dict[str, str]]: ... diff --git a/metagpt/tools/search_engine_ddg.py b/metagpt/tools/search_engine_ddg.py index 320a8c621..57bc61b82 100644 --- a/metagpt/tools/search_engine_ddg.py +++ b/metagpt/tools/search_engine_ddg.py @@ -25,10 +25,10 @@ class DDGAPIWrapper: """ def __init__( - self, - *, - loop: asyncio.AbstractEventLoop | None = None, - executor: futures.Executor | None = None, + self, + *, + loop: asyncio.AbstractEventLoop | None = None, + executor: futures.Executor | None = None, ): kwargs = {} if CONFIG.global_proxy: @@ -39,29 +39,29 @@ class DDGAPIWrapper: @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[True] = True, - focus: list[str] | None = None, + self, + query: str, + max_results: int = 8, + as_string: Literal[True] = True, + focus: list[str] | None = None, ) -> str: ... @overload def run( - self, - query: str, - max_results: int = 8, - as_string: Literal[False] = False, - focus: list[str] | None = None, + self, + query: str, + max_results: int = 8, + as_string: Literal[False] = False, + focus: list[str] | None = None, ) -> list[dict[str, str]]: ... async def run( - self, - query: str, - max_results: int = 8, - as_string: bool = True, + self, + query: str, + max_results: int = 8, + as_string: bool = True, ) -> str | list[dict]: """Return the results of a Google search using the official Google API diff --git a/metagpt/tools/search_engine_googleapi.py b/metagpt/tools/search_engine_googleapi.py index 126067b10..b9faf2ced 100644 --- a/metagpt/tools/search_engine_googleapi.py +++ b/metagpt/tools/search_engine_googleapi.py @@ -76,11 +76,11 @@ class GoogleAPIWrapper(BaseModel): return service.cse() async def run( - self, - query: str, - max_results: int = 8, - as_string: bool = True, - focus: list[str] | None = None, + self, + query: str, + max_results: int = 8, + as_string: bool = True, + focus: list[str] | None = None, ) -> str | list[dict]: """Return the results of a Google search using the official Google API. diff --git a/metagpt/tools/translator.py b/metagpt/tools/translator.py index 2e9756abe..910638469 100644 --- a/metagpt/tools/translator.py +++ b/metagpt/tools/translator.py @@ -24,4 +24,4 @@ class Translator: @classmethod def translate_prompt(cls, original, lang='中文'): - return prompt.format(LANG=lang, ORIGINAL=original) + return prompt.format(LANG=lang, ORIGINAL=original) \ No newline at end of file diff --git a/metagpt/tools/web_browser_engine.py b/metagpt/tools/web_browser_engine.py index 76074aa5e..453d87f31 100644 --- a/metagpt/tools/web_browser_engine.py +++ b/metagpt/tools/web_browser_engine.py @@ -12,9 +12,9 @@ from metagpt.utils.parse_html import WebPage class WebBrowserEngine: def __init__( - self, - engine: WebBrowserEngineType | None = None, - run_func: Callable[..., Coroutine[Any, Any, WebPage | list[WebPage]]] | None = None, + self, + engine: WebBrowserEngineType | None = None, + run_func: Callable[..., Coroutine[Any, Any, WebPage | list[WebPage]]] | None = None, ): engine = engine or CONFIG.web_browser_engine @@ -46,9 +46,7 @@ class WebBrowserEngine: if __name__ == "__main__": import fire - async def main(url: str, *urls: str, engine_type: Literal["playwright", "selenium"] = "playwright", **kwargs): return await WebBrowserEngine(WebBrowserEngineType(engine_type), **kwargs).run(url, *urls) - fire.Fire(main) diff --git a/metagpt/tools/web_browser_engine_playwright.py b/metagpt/tools/web_browser_engine_playwright.py index dd9782c6f..030e7701b 100644 --- a/metagpt/tools/web_browser_engine_playwright.py +++ b/metagpt/tools/web_browser_engine_playwright.py @@ -23,10 +23,10 @@ class PlaywrightWrapper: """ def __init__( - self, - browser_type: Literal["chromium", "firefox", "webkit"] | None = None, - launch_kwargs: dict | None = None, - **kwargs, + self, + browser_type: Literal["chromium", "firefox", "webkit"] | None = None, + launch_kwargs: dict | None = None, + **kwargs, ) -> None: if browser_type is None: browser_type = CONFIG.playwright_browser_type @@ -139,12 +139,11 @@ async def _log_stream(sr, log_func): _install_lock: asyncio.Lock = None _install_cache = set() + if __name__ == "__main__": import fire - async def main(url: str, *urls: str, browser_type: str = "chromium", **kwargs): return await PlaywrightWrapper(browser_type, **kwargs).run(url, *urls) - fire.Fire(main) diff --git a/metagpt/tools/web_browser_engine_selenium.py b/metagpt/tools/web_browser_engine_selenium.py index 64fdc0522..d727709b8 100644 --- a/metagpt/tools/web_browser_engine_selenium.py +++ b/metagpt/tools/web_browser_engine_selenium.py @@ -28,12 +28,12 @@ class SeleniumWrapper: """ def __init__( - self, - browser_type: Literal["chrome", "firefox", "edge", "ie"] | None = None, - launch_kwargs: dict | None = None, - *, - loop: asyncio.AbstractEventLoop | None = None, - executor: futures.Executor | None = None, + self, + browser_type: Literal["chrome", "firefox", "edge", "ie"] | None = None, + launch_kwargs: dict | None = None, + *, + loop: asyncio.AbstractEventLoop | None = None, + executor: futures.Executor | None = None, ) -> None: if browser_type is None: browser_type = CONFIG.selenium_browser_type @@ -117,9 +117,7 @@ def _gen_get_driver_func(browser_type, *args, executable_path=None): if __name__ == "__main__": import fire - async def main(url: str, *urls: str, browser_type: str = "chrome", **kwargs): return await SeleniumWrapper(browser_type, **kwargs).run(url, *urls) - fire.Fire(main) diff --git a/metagpt/utils/__init__.py b/metagpt/utils/__init__.py index ac78a6c85..f13175cf8 100644 --- a/metagpt/utils/__init__.py +++ b/metagpt/utils/__init__.py @@ -14,6 +14,7 @@ from metagpt.utils.token_counter import ( count_string_tokens, ) + __all__ = [ "read_docx", "Singleton", diff --git a/metagpt/utils/custom_decoder.py b/metagpt/utils/custom_decoder.py index 2a274564c..373d16356 100644 --- a/metagpt/utils/custom_decoder.py +++ b/metagpt/utils/custom_decoder.py @@ -36,11 +36,11 @@ def py_make_scanner(context): return parse_object((string, idx + 1), strict, _scan_once, object_hook, object_pairs_hook, memo) elif nextchar == "[": return parse_array((string, idx + 1), _scan_once) - elif nextchar == "n" and string[idx: idx + 4] == "null": + elif nextchar == "n" and string[idx : idx + 4] == "null": return None, idx + 4 - elif nextchar == "t" and string[idx: idx + 4] == "true": + elif nextchar == "t" and string[idx : idx + 4] == "true": return True, idx + 4 - elif nextchar == "f" and string[idx: idx + 5] == "false": + elif nextchar == "f" and string[idx : idx + 5] == "false": return False, idx + 5 m = match_number(string, idx) @@ -51,11 +51,11 @@ def py_make_scanner(context): else: res = parse_int(integer) return res, m.end() - elif nextchar == "N" and string[idx: idx + 3] == "NaN": + elif nextchar == "N" and string[idx : idx + 3] == "NaN": return parse_constant("NaN"), idx + 3 - elif nextchar == "I" and string[idx: idx + 8] == "Infinity": + elif nextchar == "I" and string[idx : idx + 8] == "Infinity": return parse_constant("Infinity"), idx + 8 - elif nextchar == "-" and string[idx: idx + 9] == "-Infinity": + elif nextchar == "-" and string[idx : idx + 9] == "-Infinity": return parse_constant("-Infinity"), idx + 9 else: raise StopIteration(idx) @@ -89,7 +89,7 @@ WHITESPACE_STR = " \t\n\r" def JSONObject( - s_and_end, strict, scan_once, object_hook, object_pairs_hook, memo=None, _w=WHITESPACE.match, _ws=WHITESPACE_STR + s_and_end, strict, scan_once, object_hook, object_pairs_hook, memo=None, _w=WHITESPACE.match, _ws=WHITESPACE_STR ): """Parse a JSON object from a string and return the parsed object. @@ -118,12 +118,12 @@ def JSONObject( memo_get = memo.setdefault # Use a slice to prevent IndexError from being raised, the following # check will raise a more specific ValueError if the string is empty - nextchar = s[end: end + 1] + nextchar = s[end : end + 1] # Normally we expect nextchar == '"' if nextchar != '"' and nextchar != "'": if nextchar in _ws: end = _w(s, end).end() - nextchar = s[end: end + 1] + nextchar = s[end : end + 1] # Trivial empty object if nextchar == "}": if object_pairs_hook is not None: @@ -146,9 +146,9 @@ def JSONObject( key = memo_get(key, key) # To skip some function call overhead we optimize the fast paths where # the JSON key separator is ": " or just ":". - if s[end: end + 1] != ":": + if s[end : end + 1] != ":": end = _w(s, end).end() - if s[end: end + 1] != ":": + if s[end : end + 1] != ":": raise JSONDecodeError("Expecting ':' delimiter", s, end) end += 1 @@ -179,7 +179,7 @@ def JSONObject( elif nextchar != ",": raise JSONDecodeError("Expecting ',' delimiter", s, end - 1) end = _w(s, end).end() - nextchar = s[end: end + 1] + nextchar = s[end : end + 1] end += 1 if nextchar != '"': raise JSONDecodeError("Expecting property name enclosed in double quotes", s, end - 1) @@ -257,7 +257,7 @@ def py_scanstring(s, end, strict=True, _b=BACKSLASH, _m=STRINGCHUNK.match, delim else: uni = _decode_uXXXX(s, end) end += 5 - if 0xD800 <= uni <= 0xDBFF and s[end: end + 2] == "\\u": + if 0xD800 <= uni <= 0xDBFF and s[end : end + 2] == "\\u": uni2 = _decode_uXXXX(s, end + 1) if 0xDC00 <= uni2 <= 0xDFFF: uni = 0x10000 + (((uni - 0xD800) << 10) | (uni2 - 0xDC00)) @@ -272,14 +272,14 @@ scanstring = py_scanstring class CustomDecoder(json.JSONDecoder): def __init__( - self, - *, - object_hook=None, - parse_float=None, - parse_int=None, - parse_constant=None, - strict=True, - object_pairs_hook=None + self, + *, + object_hook=None, + parse_float=None, + parse_int=None, + parse_constant=None, + strict=True, + object_pairs_hook=None ): super().__init__( object_hook=object_hook, diff --git a/metagpt/utils/file.py b/metagpt/utils/file.py index f7c9f2894..f3691549b 100644 --- a/metagpt/utils/file.py +++ b/metagpt/utils/file.py @@ -6,9 +6,8 @@ @File : file.py @Describe : General file operations. """ -from pathlib import Path - import aiofiles +from pathlib import Path from metagpt.logs import logger @@ -73,3 +72,4 @@ class File: except Exception as e: logger.error(f"Error reading file: {e}") raise e + diff --git a/metagpt/utils/highlight.py b/metagpt/utils/highlight.py index a7f8e7c7a..e6cbb228c 100644 --- a/metagpt/utils/highlight.py +++ b/metagpt/utils/highlight.py @@ -1,7 +1,7 @@ # 添加代码语法高亮显示 from pygments import highlight as highlight_ -from pygments.formatters import TerminalFormatter, HtmlFormatter from pygments.lexers import PythonLexer, SqlLexer +from pygments.formatters import TerminalFormatter, HtmlFormatter def highlight(code: str, language: str = 'python', formatter: str = 'terminal'): diff --git a/metagpt/utils/mermaid.py b/metagpt/utils/mermaid.py index 2d8d3aed6..5e5b275b0 100644 --- a/metagpt/utils/mermaid.py +++ b/metagpt/utils/mermaid.py @@ -135,6 +135,7 @@ MMC2 = """sequenceDiagram S-->>SE: return summary SE-->>M: return summary""" + if __name__ == "__main__": loop = asyncio.new_event_loop() result = loop.run_until_complete(mermaid_to_file(MMC1, PROJECT_ROOT / f"{CONFIG.mermaid_engine}/1")) diff --git a/metagpt/utils/mmdc_ink.py b/metagpt/utils/mmdc_ink.py index 45cc2af52..3d91cde9d 100644 --- a/metagpt/utils/mmdc_ink.py +++ b/metagpt/utils/mmdc_ink.py @@ -6,9 +6,9 @@ @File : mermaid.py """ import base64 +import os -from aiohttp import ClientSession, ClientError - +from aiohttp import ClientSession,ClientError from metagpt.logs import logger diff --git a/metagpt/utils/mmdc_playwright.py b/metagpt/utils/mmdc_playwright.py index 5fef3708b..bdbfd82ff 100644 --- a/metagpt/utils/mmdc_playwright.py +++ b/metagpt/utils/mmdc_playwright.py @@ -8,13 +8,10 @@ import os from urllib.parse import urljoin - from playwright.async_api import async_playwright - from metagpt.logs import logger - -async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048) -> int: +async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048)-> int: """ Converts the given Mermaid code to various output formats and saves them to files. @@ -27,21 +24,20 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, Returns: int: Returns 1 if the conversion and saving were successful, -1 otherwise. """ - suffixes = ['png', 'svg', 'pdf'] + suffixes=['png', 'svg', 'pdf'] __dirname = os.path.dirname(os.path.abspath(__file__)) async with async_playwright() as p: browser = await p.chromium.launch() device_scale_factor = 1.0 context = await browser.new_context( - viewport={'width': width, 'height': height}, - device_scale_factor=device_scale_factor, - ) + viewport={'width': width, 'height': height}, + device_scale_factor=device_scale_factor, + ) page = await context.new_page() async def console_message(msg): logger.info(msg.text) - page.on('console', console_message) try: @@ -76,7 +72,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, }''', [mermaid_code, mermaid_config, my_css, background_color]) - if 'svg' in suffixes: + if 'svg' in suffixes : svg_xml = await page.evaluate('''() => { const svg = document.querySelector('svg'); const xmlSerializer = new XMLSerializer(); @@ -86,7 +82,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, with open(f'{output_file_without_suffix}.svg', 'wb') as f: f.write(svg_xml.encode('utf-8')) - if 'png' in suffixes: + if 'png' in suffixes: clip = await page.evaluate('''() => { const svg = document.querySelector('svg'); const rect = svg.getBoundingClientRect(); diff --git a/metagpt/utils/mmdc_pyppeteer.py b/metagpt/utils/mmdc_pyppeteer.py index 690a26eb8..7ec30fd12 100644 --- a/metagpt/utils/mmdc_pyppeteer.py +++ b/metagpt/utils/mmdc_pyppeteer.py @@ -7,14 +7,11 @@ """ import os from urllib.parse import urljoin - from pyppeteer import launch - -from metagpt.config import CONFIG from metagpt.logs import logger +from metagpt.config import CONFIG - -async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048) -> int: +async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height=2048)-> int: """ Converts the given Mermaid code to various output formats and saves them to files. @@ -27,14 +24,15 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, Returns: int: Returns 1 if the conversion and saving were successful, -1 otherwise. """ - suffixes = ['png', 'svg', 'pdf'] + suffixes = ['png', 'svg', 'pdf'] __dirname = os.path.dirname(os.path.abspath(__file__)) + if CONFIG.pyppeteer_executable_path: browser = await launch(headless=True, - executablePath=CONFIG.pyppeteer_executable_path, - args=['--disable-extensions', "--no-sandbox"] - ) + executablePath=CONFIG.pyppeteer_executable_path, + args=['--disable-extensions',"--no-sandbox"] + ) else: logger.error("Please set the environment variable:PYPPETEER_EXECUTABLE_PATH.") return -1 @@ -43,7 +41,6 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, async def console_message(msg): logger.info(msg.text) - page.on('console', console_message) try: @@ -76,7 +73,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, } }''', [mermaid_code, mermaid_config, my_css, background_color]) - if 'svg' in suffixes: + if 'svg' in suffixes : svg_xml = await page.evaluate('''() => { const svg = document.querySelector('svg'); const xmlSerializer = new XMLSerializer(); @@ -86,7 +83,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, with open(f'{output_file_without_suffix}.svg', 'wb') as f: f.write(svg_xml.encode('utf-8')) - if 'png' in suffixes: + if 'png' in suffixes: clip = await page.evaluate('''() => { const svg = document.querySelector('svg'); const rect = svg.getBoundingClientRect(); @@ -97,8 +94,7 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, height: Math.ceil(rect.height) }; }''') - await page.setViewport({'width': clip['x'] + clip['width'], 'height': clip['y'] + clip['height'], - 'deviceScaleFactor': device_scale_factor}) + await page.setViewport({'width': clip['x'] + clip['width'], 'height': clip['y'] + clip['height'], 'deviceScaleFactor': device_scale_factor}) screenshot = await page.screenshot(clip=clip, omit_background=True, scale='device') logger.info(f"Generating {output_file_without_suffix}.png..") with open(f'{output_file_without_suffix}.png', 'wb') as f: @@ -114,3 +110,4 @@ async def mermaid_to_file(mermaid_code, output_file_without_suffix, width=2048, return -1 finally: await browser.close() + diff --git a/metagpt/utils/parse_html.py b/metagpt/utils/parse_html.py index f2395026f..62de26541 100644 --- a/metagpt/utils/parse_html.py +++ b/metagpt/utils/parse_html.py @@ -16,7 +16,7 @@ class WebPage(BaseModel): class Config: underscore_attrs_are_private = True - _soup: Optional[BeautifulSoup] = None + _soup : Optional[BeautifulSoup] = None _title: Optional[str] = None @property @@ -24,7 +24,7 @@ class WebPage(BaseModel): if self._soup is None: self._soup = BeautifulSoup(self.html, "html.parser") return self._soup - + @property def title(self): if self._title is None: diff --git a/metagpt/utils/pycst.py b/metagpt/utils/pycst.py index 4d1a86c91..afd85a547 100644 --- a/metagpt/utils/pycst.py +++ b/metagpt/utils/pycst.py @@ -37,12 +37,12 @@ def get_docstring_statement(body: DocstringNode) -> cst.SimpleStatementLine: if not isinstance(expr, cst.Expr): return None - + val = expr.value if not isinstance(val, (cst.SimpleString, cst.ConcatenatedString)): return None - - evaluated_value = val.evaluated_value + + evaluated_value = val.evaluated_value if isinstance(evaluated_value, bytes): return None @@ -56,7 +56,6 @@ class DocstringCollector(cst.CSTVisitor): stack: A list to keep track of the current path in the CST. docstrings: A dictionary mapping paths in the CST to their corresponding docstrings. """ - def __init__(self): self.stack: list[str] = [] self.docstrings: dict[tuple[str, ...], cst.SimpleStatementLine] = {} @@ -97,10 +96,9 @@ class DocstringTransformer(cst.CSTTransformer): stack: A list to keep track of the current path in the CST. docstrings: A dictionary mapping paths in the CST to their corresponding docstrings. """ - def __init__( - self, - docstrings: dict[tuple[str, ...], cst.SimpleStatementLine], + self, + docstrings: dict[tuple[str, ...], cst.SimpleStatementLine], ): self.stack: list[str] = [] self.docstrings = docstrings @@ -127,8 +125,7 @@ class DocstringTransformer(cst.CSTTransformer): key = tuple(self.stack) self.stack.pop() - if hasattr(updated_node, "decorators") and any( - (i.decorator.value == "overload") for i in updated_node.decorators): + if hasattr(updated_node, "decorators") and any((i.decorator.value == "overload") for i in updated_node.decorators): return updated_node statement = self.docstrings.get(key) diff --git a/metagpt/utils/read_document.py b/metagpt/utils/read_document.py index d2fafbc17..c837baf25 100644 --- a/metagpt/utils/read_document.py +++ b/metagpt/utils/read_document.py @@ -8,7 +8,6 @@ import docx - def read_docx(file_path: str) -> list: """Open a docx file""" doc = docx.Document(file_path) diff --git a/metagpt/utils/singleton.py b/metagpt/utils/singleton.py index a9e0862c0..474b537db 100644 --- a/metagpt/utils/singleton.py +++ b/metagpt/utils/singleton.py @@ -20,3 +20,4 @@ class Singleton(abc.ABCMeta, type): if cls not in cls._instances: cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs) return cls._instances[cls] + \ No newline at end of file diff --git a/metagpt/utils/special_tokens.py b/metagpt/utils/special_tokens.py index 5e780ce05..2adb93c77 100644 --- a/metagpt/utils/special_tokens.py +++ b/metagpt/utils/special_tokens.py @@ -1,4 +1,4 @@ # token to separate different code messages in a WriteCode Message content -MSG_SEP = "#*000*#" +MSG_SEP = "#*000*#" # token to seperate file name and the actual code text in a code message FILENAME_CODE_SEP = "#*001*#" diff --git a/metagpt/utils/text.py b/metagpt/utils/text.py index c36058e42..be3c52edd 100644 --- a/metagpt/utils/text.py +++ b/metagpt/utils/text.py @@ -3,8 +3,7 @@ from typing import Generator, Sequence from metagpt.utils.token_counter import TOKEN_MAX, count_string_tokens -def reduce_message_length(msgs: Generator[str, None, None], model_name: str, system_text: str, - reserved: int = 0, ) -> str: +def reduce_message_length(msgs: Generator[str, None, None], model_name: str, system_text: str, reserved: int = 0,) -> str: """Reduce the length of concatenated message segments to fit within the maximum token size. Args: @@ -28,11 +27,11 @@ def reduce_message_length(msgs: Generator[str, None, None], model_name: str, sys def generate_prompt_chunk( - text: str, - prompt_template: str, - model_name: str, - system_text: str, - reserved: int = 0, + text: str, + prompt_template: str, + model_name: str, + system_text: str, + reserved: int = 0, ) -> Generator[str, None, None]: """Split the text into chunks of a maximum token size. @@ -50,9 +49,9 @@ def generate_prompt_chunk( current_token = 0 current_lines = [] - reserved = reserved + count_string_tokens(prompt_template + system_text, model_name) + reserved = reserved + count_string_tokens(prompt_template+system_text, model_name) # 100 is a magic number to ensure the maximum context length is not exceeded - max_token = TOKEN_MAX.get(model_name, 2048) - reserved - 100 + max_token = TOKEN_MAX.get(model_name, 2048) - reserved - 100 while paragraphs: paragraph = paragraphs.pop(0) @@ -104,7 +103,7 @@ def decode_unicode_escape(text: str) -> str: return text.encode("utf-8").decode("unicode_escape", "ignore") -def _split_by_count(lst: Sequence, count: int): +def _split_by_count(lst: Sequence , count: int): avg = len(lst) // count remainder = len(lst) % count start = 0 diff --git a/metagpt/utils/token_counter.py b/metagpt/utils/token_counter.py index 2b9f21fb8..a5a65803a 100644 --- a/metagpt/utils/token_counter.py +++ b/metagpt/utils/token_counter.py @@ -24,6 +24,7 @@ TOKEN_COSTS = { "text-embedding-ada-002": {"prompt": 0.0004, "completion": 0.0}, } + TOKEN_MAX = { "gpt-3.5-turbo": 4096, "gpt-3.5-turbo-0301": 4096, diff --git a/requirements.txt b/requirements.txt index e855b6e83..562a653f3 100644 --- a/requirements.txt +++ b/requirements.txt @@ -44,3 +44,8 @@ ta==0.10.2 semantic-kernel==0.3.10.dev0 websocket-client==0.58.0 + +aiofiles~=23.2.1 +pygments~=2.16.1 +requests~=2.31.0 +yaml~=0.2.5 \ No newline at end of file diff --git a/startup.py b/startup.py index df94aeaba..e2a903c9b 100644 --- a/startup.py +++ b/startup.py @@ -15,12 +15,12 @@ from metagpt.software_company import SoftwareCompany async def startup( - idea: str, - investment: float = 3.0, - n_round: int = 5, - code_review: bool = False, - run_tests: bool = False, - implement: bool = True, + idea: str, + investment: float = 3.0, + n_round: int = 5, + code_review: bool = False, + run_tests: bool = False, + implement: bool = True, ): """Run a startup. Be a boss.""" company = SoftwareCompany() @@ -48,12 +48,12 @@ async def startup( def main( - idea: str, - investment: float = 3.0, - n_round: int = 5, - code_review: bool = True, - run_tests: bool = False, - implement: bool = True, + idea: str, + investment: float = 3.0, + n_round: int = 5, + code_review: bool = True, + run_tests: bool = False, + implement: bool = True, ): """ We are a software startup comprised of AI. By investing in us, diff --git a/tests/conftest.py b/tests/conftest.py index d2ac8304f..feecc7715 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -6,14 +6,14 @@ @File : conftest.py """ -import asyncio -import re from unittest.mock import Mock import pytest from metagpt.logs import logger from metagpt.provider.openai_api import OpenAIGPTAPI as GPTAPI +import asyncio +import re class Context: diff --git a/tests/metagpt/actions/mock.py b/tests/metagpt/actions/mock.py index fe82fe01e..a800690e8 100644 --- a/tests/metagpt/actions/mock.py +++ b/tests/metagpt/actions/mock.py @@ -159,6 +159,7 @@ sequenceDiagram The original requirements did not specify whether the game should have a save/load feature, multiplayer support, or any specific graphical user interface. More information on these aspects could help in further refining the product design and requirements. """ + PROJECT_MANAGEMENT_SAMPLE = '''## Required Python third-party packages: Provided in requirements.txt format ```python "pytest==6.2.5" @@ -216,6 +217,7 @@ The original requirements did not specify whether the game should have a save/lo ``` ''' + WRITE_CODE_PROMPT_SAMPLE = """ 你是一个工程师。下面是背景信息与你的当前任务，请为任务撰写代码。 撰写的代码应该符合PEP8，优雅，模块化，易于阅读与维护，代码本身应该有__main__入口来防止桩函数 @@ -373,6 +375,7 @@ if __name__ == '__main__': print('No results found.') """ + REFINED_CODE = ''' import requests diff --git a/tests/metagpt/actions/test_clone_function.py b/tests/metagpt/actions/test_clone_function.py index e11402c97..6d4432dcd 100644 --- a/tests/metagpt/actions/test_clone_function.py +++ b/tests/metagpt/actions/test_clone_function.py @@ -2,6 +2,7 @@ import pytest from metagpt.actions.clone_function import CloneFunction, run_function_code + source_code = """ import pandas as pd import ta @@ -36,10 +37,7 @@ def get_expected_res(): stock_data['SMA'] = ta.trend.sma_indicator(stock_data['Close'], window=6) stock_data[['Date', 'Close', 'SMA']].head() # 计算布林带 - stock_data['bb_upper'], stock_data['bb_middle'], stock_data['bb_lower'] = ta.volatility.bollinger_hband_indicator( - stock_data['Close'], window=20), ta.volatility.bollinger_mavg(stock_data['Close'], - window=20), ta.volatility.bollinger_lband_indicator( - stock_data['Close'], window=20) + stock_data['bb_upper'], stock_data['bb_middle'], stock_data['bb_lower'] = ta.volatility.bollinger_hband_indicator(stock_data['Close'], window=20), ta.volatility.bollinger_mavg(stock_data['Close'], window=20), ta.volatility.bollinger_lband_indicator(stock_data['Close'], window=20) stock_data[['Date', 'Close', 'bb_upper', 'bb_middle', 'bb_lower']].head() return stock_data diff --git a/tests/metagpt/actions/test_debug_error.py b/tests/metagpt/actions/test_debug_error.py index 2393d2cc9..555c84e4e 100644 --- a/tests/metagpt/actions/test_debug_error.py +++ b/tests/metagpt/actions/test_debug_error.py @@ -144,12 +144,12 @@ Engineer --- ''' - @pytest.mark.asyncio async def test_debug_error(): + debug_error = DebugError("debug_error") file_name, rewritten_code = await debug_error.run(context=EXAMPLE_MSG_CONTENT) - assert "class Player" in rewritten_code # rewrite the same class - assert "while self.score > 21" in rewritten_code # a key logic to rewrite to (original one is "if self.score > 12") + assert "class Player" in rewritten_code # rewrite the same class + assert "while self.score > 21" in rewritten_code # a key logic to rewrite to (original one is "if self.score > 12") diff --git a/tests/metagpt/actions/test_detail_mining.py b/tests/metagpt/actions/test_detail_mining.py index 1266960cc..c9d5331f9 100644 --- a/tests/metagpt/actions/test_detail_mining.py +++ b/tests/metagpt/actions/test_detail_mining.py @@ -10,7 +10,6 @@ import pytest from metagpt.actions.detail_mining import DetailMining from metagpt.logs import logger - @pytest.mark.asyncio async def test_detail_mining(): topic = "如何做一个生日蛋糕" @@ -18,6 +17,7 @@ async def test_detail_mining(): detail_mining = DetailMining("detail_mining") rsp = await detail_mining.run(topic=topic, record=record) logger.info(f"{rsp.content=}") - + assert '##OUTPUT' in rsp.content assert '蛋糕' in rsp.content + diff --git a/tests/metagpt/actions/test_ui_design.py b/tests/metagpt/actions/test_ui_design.py index dedd0b30e..d284b20f2 100644 --- a/tests/metagpt/actions/test_ui_design.py +++ b/tests/metagpt/actions/test_ui_design.py @@ -4,7 +4,7 @@ # from tests.metagpt.roles.ui_role import UIDesign -llm_resp = ''' +llm_resp= ''' # UI Design Description ```The user interface for the snake game will be designed in a way that is simple, clean, and intuitive. The main elements of the game such as the game grid, snake, food, score, and game over message will be clearly defined and easy to understand. The game grid will be centered on the screen with the score displayed at the top. The game controls will be intuitive and easy to use. The design will be modern and minimalist with a pleasing color scheme.``` @@ -100,7 +100,6 @@ body { font-size: 3em; ''' - def test_ui_design_parse_css(): ui_design_work = UIDesign(name="UI design action") @@ -162,7 +161,7 @@ def test_ui_design_parse_css(): transform: translate(-50%, -50%); font-size: 3em; ''' - assert ui_design_work.parse_css_code(context=llm_resp) == css + assert ui_design_work.parse_css_code(context=llm_resp)==css def test_ui_design_parse_html(): @@ -186,4 +185,7 @@ def test_ui_design_parse_html(): ''' - assert ui_design_work.parse_css_code(context=llm_resp) == html + assert ui_design_work.parse_css_code(context=llm_resp)==html + + + diff --git a/tests/metagpt/actions/test_write_code_review.py b/tests/metagpt/actions/test_write_code_review.py index f56427401..21bc563ec 100644 --- a/tests/metagpt/actions/test_write_code_review.py +++ b/tests/metagpt/actions/test_write_code_review.py @@ -27,6 +27,7 @@ def add(a, b): captured = capfd.readouterr() print(f"输出内容: {captured.out}") + # @pytest.mark.asyncio # async def test_write_code_review_directly(): # code = SEARCH_CODE_SAMPLE diff --git a/tests/metagpt/document_store/test_chromadb_store.py b/tests/metagpt/document_store/test_chromadb_store.py index 2b110a807..f8c11e1ca 100644 --- a/tests/metagpt/document_store/test_chromadb_store.py +++ b/tests/metagpt/document_store/test_chromadb_store.py @@ -16,8 +16,8 @@ def test_chroma_store(): # 使用 write 方法添加多个文档 document_store.write(["This is document1", "This is document2"], - [{"source": "google-docs"}, {"source": "notion"}], - ["doc1", "doc2"]) + [{"source": "google-docs"}, {"source": "notion"}], + ["doc1", "doc2"]) # 使用 add 方法添加一个文档 document_store.add("This is document3", {"source": "notion"}, "doc3") diff --git a/tests/metagpt/document_store/test_lancedb_store.py b/tests/metagpt/document_store/test_lancedb_store.py index 14974662e..9c2f9fb42 100644 --- a/tests/metagpt/document_store/test_lancedb_store.py +++ b/tests/metagpt/document_store/test_lancedb_store.py @@ -5,30 +5,27 @@ @Author : unkn-wn (Leon Yee) @File : test_lancedb_store.py """ -import random - -import pytest - from metagpt.document_store.lancedb_store import LanceStore - +import pytest +import random @pytest def test_lance_store(): + # This simply establishes the connection to the database, so we can drop the table if it exists store = LanceStore('test') store.drop('test') store.write(data=[[random.random() for _ in range(100)] for _ in range(2)], - metadatas=[{"source": "google-docs"}, {"source": "notion"}], - ids=["doc1", "doc2"]) + metadatas=[{"source": "google-docs"}, {"source": "notion"}], + ids=["doc1", "doc2"]) store.add(data=[random.random() for _ in range(100)], metadata={"source": "notion"}, _id="doc3") result = store.search([random.random() for _ in range(100)], n_results=3) - assert (len(result) == 3) + assert(len(result) == 3) store.delete("doc2") - result = store.search([random.random() for _ in range(100)], n_results=3, where="source = 'notion'", - metric='cosine') - assert (len(result) == 1) + result = store.search([random.random() for _ in range(100)], n_results=3, where="source = 'notion'", metric='cosine') + assert(len(result) == 1) \ No newline at end of file diff --git a/tests/metagpt/memory/test_longterm_memory.py b/tests/metagpt/memory/test_longterm_memory.py index ef9dec866..dc5540520 100644 --- a/tests/metagpt/memory/test_longterm_memory.py +++ b/tests/metagpt/memory/test_longterm_memory.py @@ -2,11 +2,11 @@ # -*- coding: utf-8 -*- # @Desc : unittest of `metagpt/memory/longterm_memory.py` -from metagpt.actions import BossRequirement from metagpt.config import CONFIG -from metagpt.memory import LongTermMemory -from metagpt.roles.role import RoleContext from metagpt.schema import Message +from metagpt.actions import BossRequirement +from metagpt.roles.role import RoleContext +from metagpt.memory import LongTermMemory def test_ltm_search(): diff --git a/tests/metagpt/memory/test_memory_storage.py b/tests/metagpt/memory/test_memory_storage.py index dcb00403f..6bb3e8f1d 100644 --- a/tests/metagpt/memory/test_memory_storage.py +++ b/tests/metagpt/memory/test_memory_storage.py @@ -4,11 +4,11 @@ from typing import List +from metagpt.memory.memory_storage import MemoryStorage +from metagpt.schema import Message from metagpt.actions import BossRequirement from metagpt.actions import WritePRD from metagpt.actions.action_output import ActionOutput -from metagpt.memory.memory_storage import MemoryStorage -from metagpt.schema import Message def test_idea_message(): @@ -26,7 +26,7 @@ def test_idea_message(): sim_idea = 'Write a game of cli snake' sim_message = Message(role='BOSS', content=sim_idea, cause_by=BossRequirement) new_messages = memory_storage.search(sim_message) - assert len(new_messages) == 0 # similar, return [] + assert len(new_messages) == 0 # similar, return [] new_idea = 'Write a 2048 web game' new_message = Message(role='BOSS', content=new_idea, cause_by=BossRequirement) @@ -68,7 +68,7 @@ def test_actionout_message(): role='user', cause_by=WritePRD) new_messages = memory_storage.search(sim_message) - assert len(new_messages) == 0 # similar, return [] + assert len(new_messages) == 0 # similar, return [] new_conent = 'Incorporate basic features of a snake game such as scoring and increasing difficulty' new_message = Message(content=new_conent, diff --git a/tests/metagpt/roles/mock.py b/tests/metagpt/roles/mock.py index a0ba3b3f3..52fc4a3c1 100644 --- a/tests/metagpt/roles/mock.py +++ b/tests/metagpt/roles/mock.py @@ -19,6 +19,7 @@ DETAIL_REQUIREMENT = """需求：开发一个基于LLM（大语言模型）与 1. 大语言模型已经有前置的抽象、部署，可以通过 `from metagpt.llm import LLM`，再使用`LLM().ask(prompt)`直接调用 2. Elastic已有[部署](http://192.168.50.82:9200/)，代码可以直接使用这个部署""" + PRD = '''## 原始需求 ```python """ @@ -150,6 +151,7 @@ sequenceDiagram ``` ''' + TASKS = '''## Logic Analysis 在这个项目中，所有的模块都依赖于“SearchEngine”类，这是主入口，其他的模块（Index、Ranking和Summary）都通过它交互。另外，"Index"类又依赖于"KnowledgeBase"类，因为它需要从知识库中获取数据。 @@ -181,6 +183,7 @@ task_list = [ 这个任务列表首先定义了最基础的模块，然后是依赖这些模块的模块，最后是辅助模块。可以根据团队的能力和资源，同时开发多个任务，只要满足依赖关系。例如，在开发"search.py"之前，可以同时开发"knowledge_base.py"、"index.py"、"ranking.py"和"summary.py"。 ''' + TASKS_TOMATO_CLOCK = '''## Required Python third-party packages: Provided in requirements.txt format ```python Flask==2.1.1 @@ -221,30 +224,30 @@ task_list = [ TASK = """smart_search_engine/knowledge_base.py""" STRS_FOR_PARSING = [ - """ - ## 1 - ```python - a - ``` - """, - """ - ##2 - ```python - "a" - ``` - """, - """ - ## 3 - ```python - a = "a" - ``` - """, - """ - ## 4 - ```python - a = 'a' - ``` - """ +""" +## 1 +```python +a +``` +""", +""" +##2 +```python +"a" +``` +""", +""" +## 3 +```python +a = "a" +``` +""", +""" +## 4 +```python +a = 'a' +``` +""" ] diff --git a/tests/metagpt/roles/test_engineer.py b/tests/metagpt/roles/test_engineer.py index 2767a377a..c0c48d0b1 100644 --- a/tests/metagpt/roles/test_engineer.py +++ b/tests/metagpt/roles/test_engineer.py @@ -33,7 +33,7 @@ async def test_engineer(): def test_parse_str(): for idx, i in enumerate(STRS_FOR_PARSING): - text = CodeParser.parse_str(f"{idx + 1}", i) + text = CodeParser.parse_str(f"{idx+1}", i) # logger.info(text) assert text == 'a' diff --git a/tests/metagpt/roles/test_researcher.py b/tests/metagpt/roles/test_researcher.py index 31f1f5571..01b5dae3b 100644 --- a/tests/metagpt/roles/test_researcher.py +++ b/tests/metagpt/roles/test_researcher.py @@ -12,7 +12,7 @@ async def mock_llm_ask(self, prompt: str, system_msgs): return '["dataiku", "datarobot"]' elif "Provide up to 4 queries related to your research topic" in prompt: return '["Dataiku machine learning platform", "DataRobot AI platform comparison", ' \ - '"Dataiku vs DataRobot features", "Dataiku and DataRobot use cases"]' + '"Dataiku vs DataRobot features", "Dataiku and DataRobot use cases"]' elif "sort the remaining search results" in prompt: return '[1,2]' elif "Not relevant." in prompt: diff --git a/tests/metagpt/roles/test_tutorial_assistant.py b/tests/metagpt/roles/test_tutorial_assistant.py index feecd469e..945620cfc 100644 --- a/tests/metagpt/roles/test_tutorial_assistant.py +++ b/tests/metagpt/roles/test_tutorial_assistant.py @@ -24,4 +24,4 @@ async def test_tutorial_assistant(language: str, topic: str): title = filename.split("/")[-1].split(".")[0] async with aiofiles.open(filename, mode="r") as reader: content = await reader.read() - assert content.startswith(f"# {title}") + assert content.startswith(f"# {title}") \ No newline at end of file diff --git a/tests/metagpt/roles/test_ui.py b/tests/metagpt/roles/test_ui.py index 2d9cb85c9..285bff323 100644 --- a/tests/metagpt/roles/test_ui.py +++ b/tests/metagpt/roles/test_ui.py @@ -2,8 +2,9 @@ # @Date : 2023/7/22 02:40 # @Author : stellahong (stellahong@fuzhi.ai) # -from metagpt.roles import ProductManager from metagpt.software_company import SoftwareCompany +from metagpt.roles import ProductManager + from tests.metagpt.roles.ui_role import UI diff --git a/tests/metagpt/roles/ui_role.py b/tests/metagpt/roles/ui_role.py index 1d85ffa2e..a45a89cde 100644 --- a/tests/metagpt/roles/ui_role.py +++ b/tests/metagpt/roles/ui_role.py @@ -248,12 +248,12 @@ class UI(Role): """Class representing the UI Role.""" def __init__( - self, - name="Catherine", - profile="UI Design", - goal="Finish a workable and good User Interface design based on a product design", - constraints="Give clear layout description and use standard icons to finish the design", - skills=["SD"], + self, + name="Catherine", + profile="UI Design", + goal="Finish a workable and good User Interface design based on a product design", + constraints="Give clear layout description and use standard icons to finish the design", + skills=["SD"], ): super().__init__(name, profile, goal, constraints) self.load_skills(skills) diff --git a/tests/metagpt/test_environment.py b/tests/metagpt/test_environment.py index ea31e1019..a0f1f6257 100644 --- a/tests/metagpt/test_environment.py +++ b/tests/metagpt/test_environment.py @@ -45,8 +45,7 @@ def test_set_manager(env: Environment): @pytest.mark.asyncio async def test_publish_and_process_message(env: Environment): product_manager = ProductManager("Alice", "Product Manager", "做AI Native产品", "资源有限") - architect = Architect("Bob", "Architect", "设计一个可用、高效、较低成本的系统，包括数据结构与接口", - "资源有限，需要节省成本") + architect = Architect("Bob", "Architect", "设计一个可用、高效、较低成本的系统，包括数据结构与接口", "资源有限，需要节省成本") env.add_roles([product_manager, architect]) env.set_manager(Manager()) diff --git a/tests/metagpt/tools/test_code_interpreter.py b/tests/metagpt/tools/test_code_interpreter.py index 5acecd2c3..0eec3f80b 100644 --- a/tests/metagpt/tools/test_code_interpreter.py +++ b/tests/metagpt/tools/test_code_interpreter.py @@ -2,10 +2,12 @@ import pytest import pandas as pd from pathlib import Path +from tests.data import sales_desc, store_desc from metagpt.tools.code_interpreter import OpenCodeInterpreter, OpenInterpreterDecorator from metagpt.actions import Action from metagpt.logs import logger + logger.add('./tests/data/test_ci.log') stock = "./tests/data/baba_stock.csv" @@ -36,6 +38,5 @@ async def test_actions(): # 可视化指标结果 figure_path = './tests/data/figure_ci.png' ci_ploter = OpenCodeInterpreter() - ci_ploter.chat( - f"使用seaborn对{df_path}中与股票布林带有关的数据列的Date, Close, SMA, BB_upper（布林带上界）, BB_lower（布林带下界）进行可视化, 可视化图片保存在{figure_path}中。不需要任何指标计算，把Date列转换为日期类型。要求图片优美，BB_upper, BB_lower之间使用合适的颜色填充。") + ci_ploter.chat(f"使用seaborn对{df_path}中与股票布林带有关的数据列的Date, Close, SMA, BB_upper（布林带上界）, BB_lower（布林带下界）进行可视化, 可视化图片保存在{figure_path}中。不需要任何指标计算，把Date列转换为日期类型。要求图片优美，BB_upper, BB_lower之间使用合适的颜色填充。") assert Path(figure_path).is_file() diff --git a/tests/metagpt/tools/test_search_engine.py b/tests/metagpt/tools/test_search_engine.py index 30e5b3176..a7fe063a6 100644 --- a/tests/metagpt/tools/test_search_engine.py +++ b/tests/metagpt/tools/test_search_engine.py @@ -16,8 +16,7 @@ from metagpt.tools.search_engine import SearchEngine class MockSearchEnine: async def run(self, query: str, max_results: int = 8, as_string: bool = True) -> str | list[dict[str, str]]: - rets = [{"url": "https://metagpt.com/mock/{i}", "title": query, "snippet": query * i} for i in - range(max_results)] + rets = [{"url": "https://metagpt.com/mock/{i}", "title": query, "snippet": query * i} for i in range(max_results)] return "\n".join(rets) if as_string else rets @@ -35,7 +34,7 @@ class MockSearchEnine: (SearchEngineType.DUCK_DUCK_GO, None, 6, False), (SearchEngineType.CUSTOM_ENGINE, MockSearchEnine().run, 8, False), (SearchEngineType.CUSTOM_ENGINE, MockSearchEnine().run, 6, False), - + ], ) async def test_search_engine(search_engine_typpe, run_func, max_results, as_string, ): diff --git a/tests/metagpt/utils/test_custom_decoder.py b/tests/metagpt/utils/test_custom_decoder.py index 22638b775..c7b14ad59 100644 --- a/tests/metagpt/utils/test_custom_decoder.py +++ b/tests/metagpt/utils/test_custom_decoder.py @@ -6,6 +6,7 @@ @File : test_custom_decoder.py """ + from metagpt.utils.custom_decoder import CustomDecoder diff --git a/tests/metagpt/utils/test_file.py b/tests/metagpt/utils/test_file.py index 2f224e558..b30e6be93 100644 --- a/tests/metagpt/utils/test_file.py +++ b/tests/metagpt/utils/test_file.py @@ -23,3 +23,4 @@ async def test_write_and_read_file(root_path: Path, filename: str, content: byte assert root_path / filename == full_file_name file_data = await File.read(full_file_name) assert file_data.decode("utf-8") == content + diff --git a/tests/metagpt/utils/test_output_parser.py b/tests/metagpt/utils/test_output_parser.py index 58236c90c..2b706efc4 100644 --- a/tests/metagpt/utils/test_output_parser.py +++ b/tests/metagpt/utils/test_output_parser.py @@ -68,45 +68,44 @@ def test_parse_data(): ("text", "data_type", "parsed_data", "expected_exception"), [ ( - """xxx [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}] xxx""", - list, - [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}], - None, + """xxx [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}] xxx""", + list, + [1, 2, ["a", "b", [3, 4]], {"x": 5, "y": [6, 7]}], + None, ), ( - """xxx ["1", "2", "3"] xxx \n xxx \t xx""", - list, - ["1", "2", "3"], - None, + """xxx ["1", "2", "3"] xxx \n xxx \t xx""", + list, + ["1", "2", "3"], + None, ), ( - """{"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}""", - dict, - {"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}, - None, + """{"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}""", + dict, + {"title": "a", "directory": {"sub_dir1": ["title1, title2"]}, "sub_dir2": [1, 2]}, + None, ), ( - """xxx {"title": "x", \n \t "directory": ["x", \n "y"]} xxx \n xxx \t xx""", - dict, - {"title": "x", "directory": ["x", "y"]}, - None, + """xxx {"title": "x", \n \t "directory": ["x", \n "y"]} xxx \n xxx \t xx""", + dict, + {"title": "x", "directory": ["x", "y"]}, + None, ), ( - """xxx xx""", - list, - None, - Exception, + """xxx xx""", + list, + None, + Exception, ), ( - """xxx [1, 2, []xx""", - list, - None, - Exception, + """xxx [1, 2, []xx""", + list, + None, + Exception, ), ] ) -def test_extract_struct(text: str, data_type: Union[type(list), type(dict)], parsed_data: Union[list, dict], - expected_exception): +def test_extract_struct(text: str, data_type: Union[type(list), type(dict)], parsed_data: Union[list, dict], expected_exception): def case(): resp = OutputParser.extract_struct(text, data_type) assert resp == parsed_data diff --git a/tests/metagpt/utils/test_parse_html.py b/tests/metagpt/utils/test_parse_html.py index 5215c44b5..42be416a6 100644 --- a/tests/metagpt/utils/test_parse_html.py +++ b/tests/metagpt/utils/test_parse_html.py @@ -52,9 +52,9 @@ PAGE = """ """ -CONTENT = 'This is a HeadingThis is a paragraph witha linkand someemphasizedtext.Item 1Item 2Item 3Numbered Item 1Numbered ' \ - 'Item 2Numbered Item 3Header 1Header 2Row 1, Cell 1Row 1, Cell 2Row 2, Cell 1Row 2, Cell 2Name:Email:SubmitThis is a div ' \ - 'with a class "box".a link' +CONTENT = 'This is a HeadingThis is a paragraph witha linkand someemphasizedtext.Item 1Item 2Item 3Numbered Item 1Numbered '\ +'Item 2Numbered Item 3Header 1Header 2Row 1, Cell 1Row 1, Cell 2Row 2, Cell 1Row 2, Cell 2Name:Email:SubmitThis is a div '\ +'with a class "box".a link' def test_web_page(): diff --git a/tests/metagpt/utils/test_pycst.py b/tests/metagpt/utils/test_pycst.py index 2fa45ff8d..07352eac2 100644 --- a/tests/metagpt/utils/test_pycst.py +++ b/tests/metagpt/utils/test_pycst.py @@ -71,6 +71,7 @@ class Person: ... ''' + merged_code = ''' #!/usr/bin/env python # -*- coding: utf-8 -*- From ecea8574b513a36920694ae790347874786778b5 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 22:46:33 +0800 Subject: [PATCH 26/30] =?UTF-8?q?=E4=BF=AE=E6=94=B9=E5=91=BD=E5=90=8D?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- metagpt/config.py | 6 +++--- metagpt/provider/spark_api.py | 14 +++++++------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/metagpt/config.py b/metagpt/config.py index 95caea0d1..27455d38d 100644 --- a/metagpt/config.py +++ b/metagpt/config.py @@ -62,9 +62,9 @@ class Config(metaclass=Singleton): self.deployment_name = self._get("DEPLOYMENT_NAME") self.deployment_id = self._get("DEPLOYMENT_ID") - self.xinghuo_appid = self._get("XINGHUO_APPID") - self.xinghuo_api_secret = self._get("XINGHUO_API_SECRET") - self.xinghuo_api_key = self._get("XINGHUO_API_KEY") + self.spark_appid = self._get("SPARK_APPID") + self.spark_api_secret = self._get("SPARK_API_SECRET") + self.spark_api_key = self._get("SPARK_API_KEY") self.domain = self._get("DOMAIN") self.spark_url = self._get("SPARK_URL") diff --git a/metagpt/provider/spark_api.py b/metagpt/provider/spark_api.py index f03d7e7d6..55f7000ec 100644 --- a/metagpt/provider/spark_api.py +++ b/metagpt/provider/spark_api.py @@ -116,9 +116,9 @@ class GetMessageFromWeb: def __init__(self, text): self.text = text self.ret = '' - self.xinghuo_appid = CONFIG.xinghuo_appid - self.xinghuo_api_secret = CONFIG.xinghuo_api_secret - self.xinghuo_api_key = CONFIG.xinghuo_api_key + self.spark_appid = CONFIG.spark_appid + self.spark_api_secret = CONFIG.spark_api_secret + self.spark_api_key = CONFIG.spark_api_key self.domain = CONFIG.domain self.spark_url = CONFIG.spark_url @@ -153,7 +153,7 @@ class GetMessageFromWeb: data = { "header": { - "app_id": self.xinghuo_appid, + "app_id": self.spark_appid, "uid": "1234" }, "parameter": { @@ -191,9 +191,9 @@ class GetMessageFromWeb: def _run(self, text_list): ws_param = self.WsParam( - self.xinghuo_appid, - self.xinghuo_api_key, - self.xinghuo_api_secret, + self.spark_appid, + self.spark_api_key, + self.spark_api_secret, self.spark_url, text_list) ws_url = ws_param.create_url() From c0f9bfcd18ece39ec0ccac2ca0047bb8a09473b1 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 22:49:10 +0800 Subject: [PATCH 27/30] a --- config/config.yaml | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/config/config.yaml b/config/config.yaml index 444f55efd..250c7efa1 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -12,6 +12,13 @@ OPENAI_API_MODEL: "gpt-4" MAX_TOKENS: 1500 RPM: 10 +#### if Spark +#XINGHUO_APPID : "YOUR_APPID" +#XINGHUO_API_SECRET : "YOUR_APISecret" +#XINGHUO_API_KEY : "YOUR_APIKey" +#DOMAIN : "generalv2" +#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" + #### if Anthropic #Anthropic_API_KEY: "YOUR_API_KEY" From 64e16e9ea10a450aea908085f51fdac0cca977f4 Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 22:52:43 +0800 Subject: [PATCH 28/30] s --- tests/metagpt/provider/test_spark_api.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/tests/metagpt/provider/test_spark_api.py b/tests/metagpt/provider/test_spark_api.py index 1ff159b54..bfa2bf76f 100644 --- a/tests/metagpt/provider/test_spark_api.py +++ b/tests/metagpt/provider/test_spark_api.py @@ -6,4 +6,6 @@ def test_message(): llm = SparkAPI() logger.info(llm.ask('只回答"收到了"这三个字。')) - logger.info(llm.ask('写一篇五百字的日记')) + result = llm.ask('写一篇五百字的日记') + logger.info(result) + assert len(result) > 100 From c53fa0c7b23bff8ef75a43dcae04231a01e1c15f Mon Sep 17 00:00:00 2001 From: zhouzinimg <69280251+zhouzinimg@users.noreply.github.com> Date: Wed, 18 Oct 2023 23:42:38 +0800 Subject: [PATCH 29/30] aa --- config/config.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/config/config.yaml b/config/config.yaml index 250c7efa1..b2c50991d 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -13,9 +13,9 @@ MAX_TOKENS: 1500 RPM: 10 #### if Spark -#XINGHUO_APPID : "YOUR_APPID" -#XINGHUO_API_SECRET : "YOUR_APISecret" -#XINGHUO_API_KEY : "YOUR_APIKey" +#SPARK_APPID : "YOUR_APPID" +#SPARK_API_SECRET : "YOUR_APISecret" +#SPARK_API_KEY : "YOUR_APIKey" #DOMAIN : "generalv2" #SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat" From 1b6615baf9d973182114222c9f66fc510cc2fe24 Mon Sep 17 00:00:00 2001 From: Smoothieewastaken Date: Thu, 19 Oct 2023 11:51:22 +0545 Subject: [PATCH 30/30] fixed typos from readme.md --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 4bc480a01..d2b5f2006 100644 --- a/README.md +++ b/README.md @@ -60,7 +60,7 @@ ### Installation Video Guide ### Traditional Installation ```bash -# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js offical website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.) +# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.) npm --version sudo npm install -g @mermaid-js/mermaid-cli @@ -127,7 +127,7 @@ # Step 3: Clone the repository to your local machine, and install it. - **Use your own Browsers** - pyppeteer alow you use installed browsers, please set the following envirment + pyppeteer allows you use installed browsers, please set the following envirment ```bash export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome