mirror of
https://github.com/FoundationAgents/MetaGPT.git
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fix conflict
This commit is contained in:
commit
cf05287cff
33 changed files with 1069 additions and 145 deletions
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@ -92,30 +92,30 @@ class WriteDesign(Action):
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pass # Folder does not exist, but we don't care
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workspace.mkdir(parents=True, exist_ok=True)
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def _save_prd(self, docs_path, resources_path, context):
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async def _save_prd(self, docs_path, resources_path, context):
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prd_file = docs_path / "prd.md"
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if context[-1].instruct_content and context[-1].instruct_content.dict()["Competitive Quadrant Chart"]:
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quadrant_chart = context[-1].instruct_content.dict()["Competitive Quadrant Chart"]
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mermaid_to_file(quadrant_chart, resources_path / "competitive_analysis")
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await mermaid_to_file(quadrant_chart, resources_path / "competitive_analysis")
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if context[-1].instruct_content:
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logger.info(f"Saving PRD to {prd_file}")
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prd_file.write_text(json_to_markdown(context[-1].instruct_content.dict()))
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def _save_system_design(self, docs_path, resources_path, system_design):
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async def _save_system_design(self, docs_path, resources_path, system_design):
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data_api_design = system_design.instruct_content.dict()[
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"Data structures and interface definitions"
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] # CodeParser.parse_code(block="Data structures and interface definitions", text=content)
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seq_flow = system_design.instruct_content.dict()[
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"Program call flow"
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] # CodeParser.parse_code(block="Program call flow", text=content)
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mermaid_to_file(data_api_design, resources_path / "data_api_design")
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mermaid_to_file(seq_flow, resources_path / "seq_flow")
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await mermaid_to_file(data_api_design, resources_path / "data_api_design")
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await mermaid_to_file(seq_flow, resources_path / "seq_flow")
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system_design_file = docs_path / "system_design.md"
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logger.info(f"Saving System Designs to {system_design_file}")
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system_design_file.write_text((json_to_markdown(system_design.instruct_content.dict())))
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def _save(self, context, system_design):
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async def _save(self, context, system_design):
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if isinstance(system_design, ActionOutput):
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ws_name = system_design.instruct_content.dict()["Python package name"]
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else:
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@ -126,12 +126,12 @@ class WriteDesign(Action):
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resources_path = workspace / "resources"
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docs_path.mkdir(parents=True, exist_ok=True)
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resources_path.mkdir(parents=True, exist_ok=True)
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self._save_prd(docs_path, resources_path, context)
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self._save_system_design(docs_path, resources_path, system_design)
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await self._save_prd(docs_path, resources_path, context)
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await self._save_system_design(docs_path, resources_path, system_design)
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async def run(self, context):
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prompt = PROMPT_TEMPLATE.format(context=context, format_example=FORMAT_EXAMPLE)
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# system_design = await self._aask(prompt)
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system_design = await self._aask_json_v1(prompt, "system_design", OUTPUT_MAPPING)
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self._save(context, system_design)
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await self._save(context, system_design)
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return system_design
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95
metagpt/actions/write_tutorial.py
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95
metagpt/actions/write_tutorial.py
Normal file
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@ -0,0 +1,95 @@
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#!/usr/bin/env python3
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# _*_ coding: utf-8 _*_
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"""
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@Time : 2023/9/4 15:40:40
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@Author : Stitch-z
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@File : tutorial_assistant.py
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@Describe : Actions of the tutorial assistant, including writing directories and document content.
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"""
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import json
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from typing import Dict
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from metagpt.actions import Action
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from metagpt.logs import logger
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from metagpt.prompts.tutorial_assistant import DIRECTORY_PROMPT, CONTENT_PROMPT
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class WriteDirectory(Action):
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"""Action class for writing tutorial directories.
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Args:
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name: The name of the action.
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language: The language to output, default is "Chinese".
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"""
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def __init__(self, name: str = "", language: str = "Chinese", *args, **kwargs):
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super().__init__(name, *args, **kwargs)
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self.language = language
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@staticmethod
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async def _handle_resp(resp: str) -> Dict:
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"""Process string results and convert them to JSON format.
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Args:
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resp: The directory results returned by gpt.
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Returns:
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The parsed dictionary, such as {"title": "xxx", "directory": [{"dir 1": ["sub dir 1", "sub dir 2"]}]}.
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Raises:
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Exception: If no matching dictionary section is found.
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json.JSONDecodeError: If the dictionary part cannot be parsed as JSON.
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"""
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start = resp.find('{')
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end = resp.rfind('}')
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if start != -1 and end != -1 and end > start:
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directory_str = resp[start:end + 1]
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logger.info(f"Successfully parsed json: {str(directory_str)}")
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try:
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return json.loads(directory_str)
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except json.JSONDecodeError as e:
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logger.error(f"Json parsing error: {e}")
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raise e
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else:
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raise Exception("No matching dictionary section found.")
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async def run(self, topic: str, *args, **kwargs) -> Dict:
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"""Execute the action to generate a tutorial directory according to the topic.
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Args:
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topic: The tutorial topic.
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Returns:
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the tutorial directory information, including {"title": "xxx", "directory": [{"dir 1": ["sub dir 1", "sub dir 2"]}]}.
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"""
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prompt = DIRECTORY_PROMPT.format(topic=topic, language=self.language)
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resp = await self._aask(prompt=prompt)
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return await self._handle_resp(resp)
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class WriteContent(Action):
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"""Action class for writing tutorial content.
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Args:
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name: The name of the action.
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directory: The content to write.
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language: The language to output, default is "Chinese".
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"""
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def __init__(self, name: str = "", directory: str = "", language: str = "Chinese", *args, **kwargs):
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super().__init__(name, *args, **kwargs)
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self.language = language
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self.directory = directory
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async def run(self, topic: str, *args, **kwargs) -> str:
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"""Execute the action to write document content according to the directory and topic.
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Args:
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topic: The tutorial topic.
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Returns:
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The written tutorial content.
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"""
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prompt = CONTENT_PROMPT.format(topic=topic, language=self.language, directory=self.directory)
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return await self._aask(prompt=prompt)
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