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#!/usr/bin/env python
"""
@Modified By: mashenquan, 2023/8/22. A definition has been provided for the return value of _think: returning false indicates that further reasoning cannot continue.
@Modified By: mashenquan, 2023-11-1. According to Chapter 2.2.1 and 2.2.2 of RFC 116, change the data type of
the `cause_by` value in the `Message` to a string to support the new message distribution feature.
"""
import asyncio
import re
from pydantic import BaseModel
from metagpt.actions import Action, CollectLinks, ConductResearch, WebBrowseAndSummarize
from metagpt.actions.research import get_research_system_text
from metagpt.const import RESEARCH_PATH
from metagpt.logs import logger
from metagpt.roles.role import Role, RoleReactMode
from metagpt.schema import Message
class Report(BaseModel):
topic: str
links: dict[str, list[str]] = None
summaries: list[tuple[str, str]] = None
content: str = ""
class Researcher(Role):
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"
enable_concurrency: bool = True
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.set_actions([CollectLinks, WebBrowseAndSummarize, ConductResearch])
self._set_react_mode(RoleReactMode.BY_ORDER.value, len(self.actions))
if self.language not in ("en-us", "zh-cn"):
logger.warning(f"The language `{self.language}` has not been tested, it may not work.")
async def _act(self) -> Message:
logger.info(f"{self._setting}: to do {self.rc.todo}({self.rc.todo.name})")
todo = self.rc.todo
msg = self.rc.memory.get(k=1)[0]
if isinstance(msg.instruct_content, Report):
instruct_content = msg.instruct_content
topic = instruct_content.topic
else:
topic = msg.content
research_system_text = self.research_system_text(topic, todo)
if isinstance(todo, CollectLinks):
links = await todo.run(topic, 4, 4)
ret = Message(
content="", instruct_content=Report(topic=topic, links=links), role=self.profile, cause_by=todo
)
elif isinstance(todo, WebBrowseAndSummarize):
links = instruct_content.links
todos = (
todo.run(*url, query=query, system_text=research_system_text) for (query, url) in links.items() if url
)
if self.enable_concurrency:
summaries = await asyncio.gather(*todos)
else:
summaries = [await i for i in todos]
summaries = list((url, summary) for i in summaries for (url, summary) in i.items() if summary)
ret = Message(
content="", instruct_content=Report(topic=topic, summaries=summaries), role=self.profile, cause_by=todo
)
else:
summaries = instruct_content.summaries
summary_text = "\n---\n".join(f"url: {url}\nsummary: {summary}" for (url, summary) in summaries)
content = await self.rc.todo.run(topic, summary_text, system_text=research_system_text)
ret = Message(
content="",
instruct_content=Report(topic=topic, content=content),
role=self.profile,
cause_by=self.rc.todo,
)
self.rc.memory.add(ret)
return ret
def research_system_text(self, topic, current_task: Action) -> str:
"""BACKWARD compatible
This allows sub-class able to define its own system prompt based on topic.
return the previous implementation to have backward compatible
Args:
topic:
language:
Returns: str
"""
return get_research_system_text(topic, self.language)
async def react(self) -> Message:
msg = await super().react()
report = msg.instruct_content
self.write_report(report.topic, report.content)
return msg
def write_report(self, topic: str, content: str):
filename = re.sub(r'[\\/:"*?<>|]+', " ", topic)
filename = filename.replace("\n", "")
if not RESEARCH_PATH.exists():
RESEARCH_PATH.mkdir(parents=True)
filepath = RESEARCH_PATH / f"{filename}.md"
filepath.write_text(content)
if __name__ == "__main__":
import fire
async def main(topic: str, language: str = "en-us", enable_concurrency: bool = True):
role = Researcher(language=language, enable_concurrency=enable_concurrency)
await role.run(topic)
fire.Fire(main)
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