refactor: add ai agents and implement extract people agent
This commit is contained in:
@@ -8,6 +8,8 @@ dependencies = [
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"alibabacloud-ocr-api20210707>=3.1.3",
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"alibabacloud-tea-openapi>=0.4.1",
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"fastapi>=0.118.3",
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"langchain==0.3.27",
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"langchain-openai==0.3.35",
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"qiniu>=7.17.0",
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"sqlalchemy>=2.0.44",
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"uvicorn>=0.38.0",
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0
src/agents/__init__.py
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0
src/agents/__init__.py
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22
src/agents/base_agent.py
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src/agents/base_agent.py
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@@ -0,0 +1,22 @@
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from langchain_openai import ChatOpenAI
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from utils.config import get_instance as get_config
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class BaseAgent:
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def __init__(self, api_url: str = None, api_key: str = None, model_name: str = None):
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config = get_config()
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llm_api_url = api_url or config.get("ai", "llm_api_url")
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llm_api_key = api_key or config.get("ai", "llm_api_key")
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llm_model_name = model_name or config.get("ai", "llm_model_name")
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self.llm = ChatOpenAI(
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openai_api_key=llm_api_key,
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openai_api_base=llm_api_url,
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model_name=llm_model_name,
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)
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pass
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class SummaryPeopleAgent(BaseAgent):
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def __init__(self):
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super().__init__()
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pass
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41
src/agents/extract_people_agent.py
Normal file
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src/agents/extract_people_agent.py
Normal file
@@ -0,0 +1,41 @@
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import json
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import logging
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from langchain.prompts import ChatPromptTemplate
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from .base_agent import BaseAgent
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from models.people import People
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class ExtractPeopleAgent(BaseAgent):
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def __init__(self, api_url: str = None, api_key: str = None, model_name: str = None):
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super().__init__(api_url, api_key, model_name)
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self.prompt = ChatPromptTemplate.from_messages([
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(
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"system",
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"你是一个专业的婚姻、交友助手，善于从一段文字描述中，精确获取用户的以下信息：\n"
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"姓名 name\n"
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"性别 gender\n"
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"年龄 age\n"
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"身高(cm) height\n"
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"婚姻状况 marital_status\n"
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"择偶要求 match_requirement\n"
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"以上信息需要严格按照 JSON 格式输出 字段名与条目中英文保持一致。\n"
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"除了上述基本信息，还有一个字段\n"
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"个人介绍 introduction\n"
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"其余的信息需要按照字典的方式进行提炼和总结，都放在个人介绍字段中\n"
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"个人介绍的字典的 key 需要使用提炼好的中文。\n"
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),
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("human", "{input}")
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])
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def extract_people_info(self, text: str) -> People:
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"""从文本中提取个人信息"""
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prompt = self.prompt.format_prompt(input=text)
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response = self.llm.invoke(prompt)
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logging.info(f"llm response: {response.content}")
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try:
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return People.from_dict(json.loads(response.content))
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except json.JSONDecodeError:
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logging.error(f"Failed to parse JSON from LLM response: {response.content}")
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return None
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pass
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552
uv.lock
generated
552
uv.lock
generated
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|
||||
Reference in New Issue
Block a user