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https://github.com/FoundationAgents/MetaGPT.git
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Merge branch 'gitlab/mgx_ops' into feature/merge/mgx_intent
This commit is contained in:
commit
764a5ba299
6 changed files with 418 additions and 0 deletions
33
examples/di/fix_github_issue.py
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33
examples/di/fix_github_issue.py
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# This is a real issue from MetaGPT: https://github.com/geekan/MetaGPT/issues/1067
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# with corresponding bugfix as https://github.com/geekan/MetaGPT/pull/1069
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# We demonstrate that DataInterpreter has the capability to fix such issues.
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# Prerequisite: You need to manually add back the bug in your local file metagpt/utils/repair_llm_raw_output.py
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# to test the DataInterpreter's issue solving ability.
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import asyncio
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from metagpt.roles.di.data_interpreter import DataInterpreter
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REQ = """
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# Requirement
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Below is a github issue, solve it. Use FileManager to search for the function, understand it, and modify the relevant code.
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Write a new test file test.py with FileManager and use Terminal to python the test file to ensure you have fixed the issue.
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When writing test.py, you should import the function from the file you modified and test it with the given input.
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Notice: Don't write all codes in one response, each time, just write code for one step.
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# Issue
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>> s = "-1"
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>> print(extract_state_value_from_output(s))
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>> 1
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The extract_state_value_from_output function will process -1 into 1,
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resulted in an infinite loop for the react mode.
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"""
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async def main():
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di = DataInterpreter(tools=["Terminal", "FileManager"], react_mode="react")
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await di.run(REQ)
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if __name__ == "__main__":
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asyncio.run(main())
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120
metagpt/actions/di/detect_intent.py
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120
metagpt/actions/di/detect_intent.py
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from __future__ import annotations
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import asyncio
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from enum import Enum
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from typing import Tuple
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from pydantic import BaseModel
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from metagpt.actions import Action
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class SOPItemDef(BaseModel):
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"""
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Represents an item in a Standard Operating Procedure (SOP).
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Attributes:
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name (str): name of the SOP item.
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description (str): The description or title of the SOP.
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sop (List[str]): The steps or details of the SOP.
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"""
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name: str
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description: str
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sop: list[str] = []
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class SOPItem(Enum):
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SOFTWARE_DEVELOPMENT = SOPItemDef(
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name="software development",
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description="Intentions related to or including software development, such as developing or building software, games, app, websites, etc. Excluding bug fixes, report any issues.",
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sop=[
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"Writes a PRD based on software requirements.",
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"Writes a design to the project repository, based on the PRD of the project.",
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"Writes a project plan to the project repository, based on the design of the project.",
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"Writes code to implement designed features according to the project plan and adds them to the project repository.",
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# "Run QA test on the project repository.",
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"Stage and commit changes for the project repository using Git.",
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],
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)
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FIX_BUGS = SOPItemDef(
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name="fix bugs",
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description="Fix bugs in a given project.",
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sop=[
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"Fix bugs in the project repository.",
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"Stage and commit changes for the project repository using Git.",
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],
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)
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FORMAT_REPO = SOPItemDef(
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name="format repo",
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description="download repository from git and format the project to MetaGPT project",
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sop=[
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"Imports a project from a Git website and formats it to MetaGPT project format to enable incremental appending requirements.",
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"Stage and commit changes for the project repository using Git.",
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],
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)
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OTHER = SOPItemDef(
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name="other",
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description="Other intentions that do not fall into the above categories, including data science, machine learning, deep learning, etc.",
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sop=[],
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)
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@property
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def type_name(self):
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return self.value.name
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@classmethod
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def get_type(cls, type_name):
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for member in cls:
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if member.type_name == type_name:
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return member.value
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return None
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DETECT_PROMPT = """
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# User Requirement
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{user_requirement}
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# Intentions
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{intentions}
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# Task
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Classify user requirement into one type of the above intentions, output the name of the intention directly.
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Intention name:
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"""
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REQ_WITH_SOP = """
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{user_requirement}
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You should follow the following Standard Operating Procedure:
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{sop}
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"""
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class DetectIntent(Action):
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async def run(self, user_requirement: str) -> Tuple[str, str]:
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intentions = "\n".join([f"{si.type_name}: {si.value.description}" for si in SOPItem])
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prompt = DETECT_PROMPT.format(user_requirement=user_requirement, intentions=intentions)
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sop_type = await self._aask(prompt)
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sop_type = sop_type.strip()
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sop = SOPItem.get_type(sop_type).sop
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req_with_sop = (
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REQ_WITH_SOP.format(user_requirement=user_requirement, sop="\n".join(sop)) if sop else user_requirement
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)
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return req_with_sop, sop_type
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async def main():
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# Example usage of the DetectIntent action
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user_requirements = ["Develop a 2048 game.", "Run data analysis on sklearn wine dataset"]
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detect_intent = DetectIntent()
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for user_requirement in user_requirements:
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req_with_sop, sop_type = await detect_intent.run(user_requirement)
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print(req_with_sop)
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print(f"Detected SOP Type: {sop_type}")
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if __name__ == "__main__":
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asyncio.run(main())
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108
metagpt/tools/libs/file_manager.py
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108
metagpt/tools/libs/file_manager.py
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import os
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from pydantic import BaseModel
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from metagpt.tools.tool_registry import register_tool
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class FileBlock(BaseModel):
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file_path: str
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block_content: str
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block_start_line: int
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block_end_line: int
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symbol: str = ""
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symbol_line: int = -1
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@register_tool()
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class FileManager:
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"""A tool for handling file io, read or write into files"""
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def write(self, path: str, content: str):
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"""Write the whole content to a file."""
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with open(path, "w") as f:
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f.write(content)
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def read(self, path: str) -> str:
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"""Read the whole content of a file."""
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with open(path, "r") as f:
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return f.read()
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def search_content(self, symbol: str, root_path: str = "", window: int = 20) -> FileBlock:
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"""
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Search symbol in all files under root_path, return the context of symbol with window size
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Useful for locating class or function in a large codebase. Example symbol can be "def some_function", "class SomeClass", etc.
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Args:
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symbol (str): The symbol to search.
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root_path (str, optional): The root path to search in. If not provided, search in the current directory. Defaults to "".
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window (int, optional): The window size to return.
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Returns:
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FileBlock: The block containing the symbol, a pydantic BaseModel with the schema below.
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class FileBlock(BaseModel):
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file_path: str
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block_content: str
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block_start_line: int
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block_end_line: int
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symbol: str = ""
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symbol_line: int = -1
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"""
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for root, _, files in os.walk(root_path or "."):
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for file in files:
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file_path = os.path.join(root, file)
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if not file.endswith(".py"):
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continue
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with open(file_path, "r", encoding="utf-8") as f:
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try:
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lines = f.readlines()
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except UnicodeDecodeError:
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continue
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for i, line in enumerate(lines):
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if symbol in line:
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start = max(i - window, 0)
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end = min(i + window, len(lines) - 1)
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block_content = "".join(lines[start : end + 1])
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return FileBlock(
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file_path=file_path,
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block_content=block_content,
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block_start_line=start + 1,
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block_end_line=end + 1,
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symbol=symbol,
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symbol_line=i + 1,
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)
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return None
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def write_content(self, file_path: str, start_line: int, end_line: int, new_block_content: str = ""):
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"""
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Write a new block of content into a file. Use this method to update a block of code in a file. There are several cases:
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1. If the new block content is empty, the original block will be deleted.
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2. If the new block content is not empty and end_line >= start_line, the original block from start_line to end_line (both inclusively) will be replaced by the new block content.
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3. If the new block content is not empty and end_line < start_line (e.g. set end_line = -1) the new block content will be inserted at start_line.
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Args:
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file_path (str): The file path to write the new block content.
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start_line (int): start line of the original block to be updated.
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end_line (int): end line of the original block to be updated.
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new_block_content (str): The new block content to write.
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"""
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with open(file_path, "r") as file:
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lines = file.readlines()
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start_line_index = start_line - 1 # Adjusting because list indices start at 0
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end_line_index = end_line
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if new_block_content:
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# Split the new_block_content by newline and ensure each line ends with a newline character
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new_content_lines = [line + "\n" for line in new_block_content.split("\n")]
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if end_line >= start_line:
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# This replaces the block between start_line and end_line with new_block_content
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# irrespective of the length difference between the original and new content.
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lines[start_line_index:end_line_index] = new_content_lines
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else:
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lines.insert(start_line_index, "\n".join(new_content_lines))
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else:
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del lines[start_line_index:end_line_index]
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with open(file_path, "w") as file:
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file.writelines(lines)
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0
tests/data/tools/test_script_for_file_manager.py
Normal file
0
tests/data/tools/test_script_for_file_manager.py
Normal file
55
tests/metagpt/actions/di/test_detect_intent.py
Normal file
55
tests/metagpt/actions/di/test_detect_intent.py
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import pytest
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from metagpt.actions.di.detect_intent import DetectIntent
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SOFTWARE_DEV_REQ1 = """
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I'd like to create a personalized website that features the 'Game of Life' simulation.
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"""
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SOFTWARE_DEV_REQ2 = """
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Create a website widget for TODO list management.
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"""
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SOFTWARE_DEV_REQ3 = """
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Create an official website with a top bar, banner, About Us section, and footer.
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"""
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DI_REQ1 = """
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can you finetune a 78 Llama model using https://github.com/huggingface/peft should be instructions in the Readme.
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"""
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DI_REQ2 = """
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I came across a blog post on the website Mafengwo (https://www.mafengwo.cn/i/17171539.html) that discusses the possibility of generating images with hidden text. The post refers to a script that can be used for this purpose. Could you help me set up this script and use it to generate some images? I would like the images to have the hidden text 'MAX' and also some with 'MetaGPT' as the hidden text.
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"""
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DI_REQ3 = """
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Extract all of the blog posts from `https://stripe.com/blog/page/1` and return a CSV with the columns `date`, `article_text`, `author` and `summary`. Generate a summary for each article yourself.
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"""
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FIX_BUG_REQ = """
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Fix this error from the 2048 game repo: TypeError: __init__() takes 1 positional argument but 2 were given"
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"""
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FORMAT_REPO_REQ = """
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git clone 'https://github.com/spec-first/connexion' and format to MetaGPT project
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"""
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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"requirement, expected_intent_type",
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[
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(SOFTWARE_DEV_REQ1, "software development"),
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(SOFTWARE_DEV_REQ2, "software development"),
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(SOFTWARE_DEV_REQ3, "software development"),
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(DI_REQ1, "other"),
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(DI_REQ2, "other"),
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(DI_REQ3, "other"),
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(FIX_BUG_REQ, "fix bugs"),
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(FORMAT_REPO_REQ, "format repo"),
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],
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)
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async def test_detect_intent(requirement, expected_intent_type):
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di = DetectIntent()
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_, intent_type = await di.run(requirement)
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assert intent_type == expected_intent_type
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102
tests/metagpt/tools/libs/test_file_manager.py
Normal file
102
tests/metagpt/tools/libs/test_file_manager.py
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@ -0,0 +1,102 @@
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import pytest
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from metagpt.const import TEST_DATA_PATH
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from metagpt.tools.libs.file_manager import FileBlock, FileManager
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TEST_FILE_CONTENT = """
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# this is line one
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def test_function_for_fm():
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"some docstring"
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a = 1
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b = 2
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c = 3
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# this is the 7th line
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""".strip()
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TEST_FILE_PATH = TEST_DATA_PATH / "tools/test_script_for_file_manager.py"
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@pytest.fixture
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def test_file():
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with open(TEST_FILE_PATH, "w") as f:
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f.write(TEST_FILE_CONTENT)
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yield
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with open(TEST_FILE_PATH, "w") as f:
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f.write("")
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EXPECTED_SEARCHED_BLOCK = FileBlock(
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file_path=str(TEST_FILE_PATH),
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block_content='# this is line one\ndef test_function_for_fm():\n "some docstring"\n a = 1\n b = 2\n',
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block_start_line=1,
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block_end_line=5,
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symbol="def test_function_for_fm",
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symbol_line=2,
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)
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def test_search_content(test_file):
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block = FileManager().search_content("def test_function_for_fm", root_path=TEST_DATA_PATH, window=3)
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assert block == EXPECTED_SEARCHED_BLOCK
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EXPECTED_CONTENT_AFTER_REPLACE = """
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# this is line one
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def test_function_for_fm():
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This is the new line A replacing lines 3 to 5.
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This is the new line B.
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c = 3
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# this is the 7th line
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""".strip()
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def test_replace_content(test_file):
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FileManager().write_content(
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file_path=str(TEST_FILE_PATH),
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start_line=3,
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end_line=5,
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new_block_content=" This is the new line A replacing lines 3 to 5.\n This is the new line B.",
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)
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with open(TEST_FILE_PATH, "r") as f:
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new_content = f.read()
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print(new_content)
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assert new_content == EXPECTED_CONTENT_AFTER_REPLACE
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EXPECTED_CONTENT_AFTER_DELETE = """
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# this is line one
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def test_function_for_fm():
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c = 3
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# this is the 7th line
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""".strip()
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def test_delete_content(test_file):
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FileManager().write_content(file_path=str(TEST_FILE_PATH), start_line=3, end_line=5)
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with open(TEST_FILE_PATH, "r") as f:
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new_content = f.read()
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assert new_content == EXPECTED_CONTENT_AFTER_DELETE
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EXPECTED_CONTENT_AFTER_INSERT = """
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# this is line one
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def test_function_for_fm():
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This is the new line to be inserted, at line 3
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"some docstring"
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a = 1
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b = 2
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c = 3
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# this is the 7th line
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""".strip()
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def test_insert_content(test_file):
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FileManager().write_content(
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file_path=str(TEST_FILE_PATH),
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start_line=3,
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end_line=-1,
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new_block_content=" This is the new line to be inserted, at line 3",
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)
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with open(TEST_FILE_PATH, "r") as f:
|
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new_content = f.read()
|
||||
assert new_content == EXPECTED_CONTENT_AFTER_INSERT
|
||||
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