Release v0.1

- put /people/{people_id}

pyproject.toml

@@ -1,18 +1,18 @@
 [project]
 name = "service"
-version = "0.1.0"
+version = "0.1"
 description = "This project is the web servcie sub-system for if.u projuect"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
     "alibabacloud-ocr-api20210707>=3.1.3",
-    "chromadb>=1.1.1",
-    "fastapi>=0.118.2",
-    "langchain>=0.3.27",
-    "langchain-openai>=0.3.35",
-    "numpy>=2.3.3",
+    "alibabacloud-tea-openapi>=0.4.1",
+    "fastapi>=0.118.3",
+    "langchain==0.3.27",
+    "langchain-openai==0.3.35",
     "pymysql>=1.1.2",
     "python-multipart>=0.0.20",
     "qiniu>=7.17.0",
-    "requests>=2.32.5",
+    "sqlalchemy>=2.0.44",
+    "uvicorn>=0.38.0",
 ]

src/agents/base_agent.py

@@ -0,0 +1,22 @@
+
+from langchain_openai import ChatOpenAI
+from utils.config import get_instance as get_config
+
+class BaseAgent:
+    def __init__(self, api_url: str = None, api_key: str = None, model_name: str = None):
+        config = get_config()
+        llm_api_url = api_url or config.get("ai", "llm_api_url")
+        llm_api_key = api_key or config.get("ai", "llm_api_key")
+        llm_model_name = model_name or config.get("ai", "llm_model_name")
+        self.llm = ChatOpenAI(
+            openai_api_key=llm_api_key,
+            openai_api_base=llm_api_url,
+            model_name=llm_model_name,
+        )
+    pass
+
+
+class SummaryPeopleAgent(BaseAgent):
+    def __init__(self):
+        super().__init__()
+    pass

src/agents/extract_people_agent.py

@@ -1,25 +1,19 @@
+
+import datetime
 import json
 import logging
-from langchain_openai import ChatOpenAI
 from langchain.prompts import ChatPromptTemplate
 
+from .base_agent import BaseAgent
 from models.people import People
 
-class BaseAgent:
-    def __init__(self):
-        self.llm = ChatOpenAI(
-            openai_api_key="56d82040-85c7-4701-8f87-734985e27909",
-            openai_api_base="https://ark.cn-beijing.volces.com/api/v3",
-            model_name="ep-20250722161445-n9lfq"
-        )
-    pass
-
 class ExtractPeopleAgent(BaseAgent):
-    def __init__(self):
-        super().__init__()
+    def __init__(self, api_url: str = None, api_key: str = None, model_name: str = None):
+        super().__init__(api_url, api_key, model_name)
         self.prompt = ChatPromptTemplate.from_messages([
             (
                 "system",
+                f"现在是{datetime.datetime.now().strftime('%Y-%m-%d')}，"
                 "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"
                 "姓名 name\n"
                 "性别 gender\n"
@@ -28,6 +22,8 @@ class ExtractPeopleAgent(BaseAgent):
                 "婚姻状况 marital_status\n"
                 "择偶要求 match_requirement\n"
                 "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"
+                "其中，'年龄 age' 和 '身高(cm) height' 必须是一个整数，不能是一个字符串；\n"
+                "并且，'性别 gender' 根据识别结果，必须从 男,女,未知 三选一填写。\n"
                 "除了上述基本信息，还有一个字段\n"
                 "个人介绍 introduction\n"
                 "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"
@@ -42,13 +38,15 @@ class ExtractPeopleAgent(BaseAgent):
         response = self.llm.invoke(prompt)
         logging.info(f"llm response: {response.content}")
         try:
-            return People.from_dict(json.loads(response.content))
+            people = People.from_dict(json.loads(response.content))
+            err = people.validate()
+            if not err.success:
+                raise ValueError(f"Failed to validate people info: {err.info}")
+            return people
         except json.JSONDecodeError:
             logging.error(f"Failed to parse JSON from LLM response: {response.content}")
             return None
+        except ValueError as e:
+            logging.error(f"Failed to validate people info: {e}")
+            return None
     pass
-
-class SummaryPeopleAgent(BaseAgent):
-    def __init__(self):
-        super().__init__()
-    pass

src/app/app.py

@@ -1,52 +0,0 @@
-# -*- coding: utf-8 -*-
-# created by mmmy on 2025-09-27
-
-import logging
-from ai.agent import ExtractPeopleAgent
-from utils import ocr, vsdb, obs
-from models.people import People
-from fastapi import FastAPI
-
-api = FastAPI(title="Single People Management and Searching", version="1.0.0")
-
-class App:
-    def __init__(self):
-        self.extract_people_agent = ExtractPeopleAgent()
-        self.ocr = ocr.get_instance()
-        self.vedb = vsdb.get_instance(db_type='chromadb')
-        self.obs = obs.get_instance()
-
-    def run(self):
-        pass
-    
-    class InputForPeople:
-        image: bytes
-        text: str
-        
-    def input_to_people(self, input: InputForPeople) -> People:
-        if not input.image and not input.text:
-            return None
-        if input.image:
-            content = self.ocr.recognize_image_text(input.image)
-        else:
-            content = input.text
-        print(content)
-        people = self._trans_text_to_people(content)
-        return people
-    
-    def _trans_text_to_people(self, text: str) -> People:
-        if not text:
-            return None
-        person = self.extract_people_agent.extract_people_info(text)
-        print(person)
-        return person
-    
-    def create_people(self, people: People) -> bool:
-        if not people:
-            return False
-        try:
-            people.save()
-        except Exception as e:
-            logging.error(f"保存人物到数据库失败: {e}")
-            return False
-        return True

src/main.py

@@ -1,13 +1,12 @@
 # -*- coding: utf-8 -*-
 # created by mmmy on 2025-09-27
-import logging
 import os
 import argparse
-from venv import logger
 import uvicorn
-from app.api import api
-from utils import obs, ocr, vsdb, logger, config
-from storage import people_store
+from services import people as people_service
+from utils import config, logger, obs, ocr, rldb
+
+from web.api import api
 
 # 主函数
 def main():
@@ -15,14 +14,20 @@ def main():
     parser = argparse.ArgumentParser(description='IF.u 服务')
     parser.add_argument('--config', type=str, default=os.path.join(main_path, '../configuration/test_conf.ini'), help='配置文件路径')
     args = parser.parse_args()
+    
     config.init(args.config)
     logger.init()
-    obs.init()
+    
+    rldb.init()
+    
     ocr.init()
-    vsdb.init()
-    people_store.init()
+    obs.init()
+    
+    people_service.init()
+    
     conf = config.get_instance()
-    host = conf.get('web_service', 'server_host', fallback='127.0.0.1')
+
+    host = conf.get('web_service', 'server_host', fallback='0.0.0.0')
     port = conf.getint('web_service', 'server_port', fallback=8099)
     uvicorn.run(api, host=host, port=port)
 

src/models/people.py

@@ -1,8 +1,29 @@
 # -*- coding: utf-8 -*-
 # created by mmmy on 2025-09-30
 
+import json
 import logging
 from typing import Dict
+from sqlalchemy import Column, Integer, String, Text, DateTime, func
+from utils.rldb import RLDBBaseModel
+from utils.error import ErrorCode, error
+
+class PeopleRLDBModel(RLDBBaseModel):
+    __tablename__ = 'peoples'
+    id = Column(String(36), primary_key=True)
+    name = Column(String(255), index=True)
+    contact = Column(String(255), index=True)
+    gender = Column(String(10))
+    age = Column(Integer)
+    height = Column(Integer)
+    marital_status = Column(String(20))
+    match_requirement = Column(Text)
+    introduction = Column(Text)
+    comments = Column(Text)
+    cover = Column(String(255), nullable=True)
+    created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
+    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
+    deleted_at = Column(DateTime(timezone=True), nullable=True, index=True)
 
 
 class People:
@@ -18,15 +39,7 @@ class People:
     age: int
     # 身高(cm)
     height: int
-    # 体重(kg)
-    # weight: int
     # 婚姻状况
-    # [
-    #   "未婚(single)",
-    #   "已婚(married)",
-    #   "离异(divorced)",
-    #   "丧偶(widowed)"
-    # ]
     marital_status: str
     # 择偶要求
     match_requirement: str
@@ -34,8 +47,9 @@ class People:
     introduction: Dict[str, str]
     # 总结评价
     comments: Dict[str, str]
+    # 封面
+    cover: str = None
     
-
     def __init__(self, **kwargs):
         # 初始化所有属性，从kwargs中获取值，如果不存在则设置默认值
         self.id = kwargs.get('id', '') if kwargs.get('id', '') is not None else ''
@@ -48,9 +62,14 @@ class People:
         self.match_requirement = kwargs.get('match_requirement', '') if kwargs.get('match_requirement', '') is not None else ''
         self.introduction = kwargs.get('introduction', {}) if kwargs.get('introduction', {}) is not None else {}
         self.comments = kwargs.get('comments', {}) if kwargs.get('comments', {}) is not None else {}
+        self.cover = kwargs.get('cover', None) if kwargs.get('cover', None) is not None else None
 
     def __str__(self) -> str:
-        return self.tonl()
+        # 返回对象的字符串表示，包含所有属性
+        return (f"People(id={self.id}, name={self.name}, contact={self.contact}, gender={self.gender}, "
+                f"age={self.age}, height={self.height}, marital_status={self.marital_status}, "
+                f"match_requirement={self.match_requirement}, introduction={self.introduction}, "
+                f"comments={self.comments}, cover={self.cover})")
 
     @classmethod
     def from_dict(cls, data: dict):
@@ -65,6 +84,23 @@ class People:
             del data['deleted_at']
         return cls(**data)
 
+    @classmethod
+    def from_rldb_model(cls, data: PeopleRLDBModel):
+        # 将关系数据库模型转换为对象
+        return cls(
+            id=data.id,
+            name=data.name,
+            contact=data.contact,
+            gender=data.gender,
+            age=data.age,
+            height=data.height,
+            marital_status=data.marital_status,
+            match_requirement=data.match_requirement,
+            introduction=json.loads(data.introduction) if data.introduction else {},
+            comments=json.loads(data.comments) if data.comments else {},
+            cover=data.cover,
+        )
+
     def to_dict(self) -> dict:
         # 将对象转换为字典格式
         return {
@@ -78,44 +114,37 @@ class People:
             'match_requirement': self.match_requirement,
             'introduction': self.introduction,
             'comments': self.comments,
-        }
+            'cover': self.cover,
+        }      
+
+    def to_rldb_model(self) -> PeopleRLDBModel:
+        # 将对象转换为关系数据库模型
+        return PeopleRLDBModel(
+            id=self.id,
+            name=self.name,
+            contact=self.contact,
+            gender=self.gender,
+            age=self.age,
+            height=self.height,
+            marital_status=self.marital_status,
+            match_requirement=self.match_requirement,
+            introduction=json.dumps(self.introduction, ensure_ascii=False),
+            comments=json.dumps(self.comments, ensure_ascii=False),
+            cover=self.cover,
+        )
     
-    def meta(self) -> Dict[str, str]:
-        # 返回对象的元数据信息
-        meta = {
-            'id': self.id,
-            'name': self.name,
-            'gender': self.gender,
-            'age': self.age,
-            'height': self.height,
-            'marital_status': self.marital_status,
-        }
-        logging.info(f"people meta: {meta}")
-        return meta
-
-    def tonl(self) -> str:
-        # 将对象转换为文档格式的字符串
-        doc = []
-        doc.append(f"姓名: {self.name}")
-        doc.append(f"性别: {self.gender}")
-        if self.age:
-            doc.append(f"年龄: {self.age}")
-        if self.height:
-            doc.append(f"身高: {self.height}cm")
-        if self.marital_status:
-            doc.append(f"婚姻状况: {self.marital_status}")
-        if self.match_requirement:
-            doc.append(f"择偶要求: {self.match_requirement}")
-        if self.introduction:
-            doc.append("个人介绍:")
-            for key, value in self.introduction.items():
-                doc.append(f" - {key}: {value}")
-        if self.comments:
-            doc.append("总结评价:")
-            for key, value in self.comments.items():
-                doc.append(f" - {key}: {value}")
-        return '\n'.join(doc)
-
-    def comment(self, comment: Dict[str, str]):
-        # 添加总结评价
-        self.comments.update(comment)
+    def validate(self) -> error:
+        err = error(ErrorCode.SUCCESS, "")
+        if not self.name:
+            logging.error("Name is required")
+            err = error(ErrorCode.MODEL_ERROR, "Name is required")
+        if not self.gender in ['男', '女', '未知']:
+            logging.error("Gender must be '男', '女', or '未知'")
+            err = error(ErrorCode.MODEL_ERROR, "Gender must be '男', '女', or '未知'")
+        if not isinstance(self.age, int) or self.age <= 0:
+            logging.error("Age must be an integer and greater than 0")
+            err = error(ErrorCode.MODEL_ERROR, "Age must be an integer and greater than 0")
+        if not isinstance(self.height, int) or self.height <= 0:
+            logging.error("Height must be an integer and greater than 0")
+            err = error(ErrorCode.MODEL_ERROR, "Height must be an integer and greater than 0")
+        return err

src/services/people.py

@@ -0,0 +1,78 @@
+
+
+
+import uuid
+from models.people import People, PeopleRLDBModel
+from utils.error import ErrorCode, error
+from utils import rldb
+
+
+class PeopleService:
+    def __init__(self):
+        self.rldb = rldb.get_instance()
+
+    def save(self, people: People) -> (str, error):
+        """
+        保存人物到数据库和向量数据库
+        
+        :param people: 人物对象
+        :return: 人物ID
+        """
+        # 0. 生成 people id
+        people.id = people.id if people.id else uuid.uuid4().hex
+        
+        # 1. 转换模型，并保存到 SQL 数据库
+        people_orm = people.to_rldb_model()
+        self.rldb.upsert(people_orm)
+        
+        return people.id, error(ErrorCode.SUCCESS, "")
+    
+    def delete(self, people_id: str) -> error:
+        """
+        删除人物从数据库和向量数据库
+        
+        :param people_id: 人物ID
+        :return: 错误对象
+        """
+        people_orm = self.rldb.get(PeopleRLDBModel, people_id)
+        if not people_orm:
+            return error(ErrorCode.RLDB_ERROR, f"people {people_id} not found")
+        self.rldb.delete(people_orm)
+        return error(ErrorCode.SUCCESS, "")
+    
+    def get(self, people_id: str) -> (People, error):
+        """
+        从数据库获取人物
+        
+        :param people_id: 人物ID
+        :return: 人物对象
+        """
+        people_orm = self.rldb.get(PeopleRLDBModel, people_id)
+        if not people_orm:
+            return None, error(ErrorCode.MODEL_ERROR, f"people {people_id} not found")
+        return People.from_rldb_model(people_orm), error(ErrorCode.SUCCESS, "")
+    
+    def list(self, conds: dict = {}, limit: int = 10, offset: int = 0) -> (list[People], error):
+        """
+        从数据库列出人物
+        
+        :param conds: 查询条件字典
+        :param limit: 分页大小
+        :param offset: 分页偏移量
+        :return: 人物对象列表
+        """
+        people_orms = self.rldb.query(PeopleRLDBModel, **conds)
+        peoples = [People.from_rldb_model(people_orm) for people_orm in people_orms]
+        
+        return peoples, error(ErrorCode.SUCCESS, "")
+
+
+
+people_service = None
+
+def init():
+    global people_service
+    people_service = PeopleService()
+
+def get_instance() -> PeopleService:
+    return people_service

src/storage/people_store.py

@@ -1,216 +0,0 @@
-import json
-import logging
-import uuid
-from datetime import datetime
-
-from sqlalchemy import create_engine, Column, Integer, String, Text, DateTime, func
-from sqlalchemy.ext.declarative import declarative_base
-from sqlalchemy.orm import sessionmaker
-
-from utils.config import get_instance as get_config
-from utils.vsdb import VectorDB, get_instance as get_vsdb
-from utils.obs import OBS, get_instance as get_obs
-
-from models.people import People
-
-people_store = None
-Base = declarative_base()
-class PeopleORM(Base):
-    __tablename__ = 'peoples'
-    id = Column(String(36), primary_key=True)
-    name = Column(String(255), index=True)
-    contact = Column(String(255), index=True)
-    gender = Column(String(10))
-    age = Column(Integer)
-    height = Column(Integer)
-    marital_status = Column(String(20))
-    match_requirement = Column(Text)
-    introduction = Column(Text)
-    comments = Column(Text)
-    created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
-    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
-    deleted_at = Column(DateTime(timezone=True), nullable=True, index=True)
-    def parse_from_people(self, people: People):
-        import json
-        self.id = people.id
-        self.name = people.name
-        self.contact = people.contact
-        self.gender = people.gender
-        self.age = people.age
-        self.height = people.height
-        self.marital_status = people.marital_status
-        self.match_requirement = people.match_requirement
-        # 将字典类型字段序列化为JSON字符串存储
-        self.introduction = json.dumps(people.introduction, ensure_ascii=False)
-        self.comments = json.dumps(people.comments, ensure_ascii=False)
-    
-    def to_people(self) -> People:
-        import json
-        people = People()
-        people.id = self.id
-        people.name = self.name
-        people.contact = self.contact
-        people.gender = self.gender
-        people.age = self.age
-        people.height = self.height
-        people.marital_status = self.marital_status
-        people.match_requirement = self.match_requirement
-        # 将JSON字符串反序列化为字典类型字段
-        try:
-            people.introduction = json.loads(self.introduction) if self.introduction else {}
-        except (json.JSONDecodeError, TypeError):
-            people.introduction = {}
-        
-        try:
-            people.comments = json.loads(self.comments) if self.comments else {}
-        except (json.JSONDecodeError, TypeError):
-            people.comments = {}
-        
-        return people
-
-class PeopleStore:
-    def __init__(self):
-        config = get_config()
-        self.sqldb_engine = create_engine(config.get("sqlalchemy", "database_dsn"))
-        Base.metadata.create_all(self.sqldb_engine)
-        self.session_maker = sessionmaker(bind=self.sqldb_engine)
-        self.vsdb: VectorDB = get_vsdb()
-        self.obs: OBS = get_obs()
-    
-    def save(self, people: People) -> str:
-        """
-        保存人物到数据库和向量数据库
-        
-        :param people: 人物对象
-        :return: 人物ID
-        """
-        # 0. 生成 people id
-        people.id = people.id if people.id else uuid.uuid4().hex
-        
-        # 1. 转换模型，并保存到 SQL 数据库
-        people_orm = PeopleORM()
-        people_orm.parse_from_people(people)
-        with self.session_maker() as session:
-            session.add(people_orm)
-            session.commit()
-        
-        # 2. 保存到向量数据库
-        people_metadata = people.meta()
-        people_document = people.tonl()
-        logging.info(f"people: {people}")
-        logging.info(f"people_metadata: {people_metadata}")
-        logging.info(f"people_document: {people_document}")
-        results = self.vsdb.insert(metadatas=[people_metadata], documents=[people_document], ids=[people.id])
-        logging.info(f"results: {results}")
-        if len(results) == 0:
-            raise Exception("insert failed")
-        
-        # 3. 保存到 OBS 存储
-        people_dict = people.to_dict()
-        people_json = json.dumps(people_dict, ensure_ascii=False)
-        obs_url = self.obs.Put(f"peoples/{people.id}/detail.json", people_json.encode('utf-8'))
-        logging.info(f"obs_url: {obs_url}")
-        
-        return people.id
-    
-    def update(self, people: People) -> None:
-        raise Exception("update not implemented")
-        return None
-    
-    def find(self, people_id: str) -> People:
-        """
-        根据人物ID查询人物
-        
-        :param people_id: 人物ID
-        :return: 人物对象
-        """
-        with self.session_maker() as session:
-            people_orm = session.query(PeopleORM).filter(
-                PeopleORM.id == people_id,
-                PeopleORM.deleted_at.is_(None)
-            ).first()
-            if not people_orm:
-                raise Exception(f"people not found, people_id: {people_id}")
-        return people_orm.to_people()
-    
-    def query(self, conds: dict = {}, limit: int = 10, offset: int = 0) -> list[People]:
-        """
-        根据查询条件查询人物
-        
-        :param conds: 查询条件字典
-        :param limit: 分页大小
-        :param offset: 分页偏移量
-        :return: 人物对象列表
-        """
-        if conds is None:
-            conds = {}
-        with self.session_maker() as session:
-            people_orms = session.query(PeopleORM).filter_by(**conds).filter(
-                PeopleORM.deleted_at.is_(None)
-            ).limit(limit).offset(offset).all()
-        return [people_orm.to_people() for people_orm in people_orms]
-    
-    def search(self, search: str, metadatas: dict, ids: list[str] = None, top_k: int = 5) -> list[People]:
-        """
-        根据搜索内容和查询条件查询人物
-        
-        :param search: 搜索内容
-        :param metadatas: 查询条件字典
-        :param ids: 可选的人物ID列表，用于过滤结果
-        :param top_k: 返回结果数量
-        :return: 人物对象列表
-        """
-        peoples = []
-        results = self.vsdb.search(document=search, metadatas=metadatas, ids=ids, top_k=top_k)
-        logging.info(f"results: {results}")
-        people_id_list = []
-        for result in results:
-            people_id = result.get('id', '')
-            if not people_id:
-                continue
-            people_id_list.append(people_id)
-        logging.info(f"people_id_list: {people_id_list}")
-        with self.session_maker() as session:
-            people_orms = session.query(PeopleORM).filter(PeopleORM.id.in_(people_id_list)).filter(
-                PeopleORM.deleted_at.is_(None)
-            ).all()
-        # 根据 people_id_list 的顺序对查询结果进行排序
-        order_map = {pid: idx for idx, pid in enumerate(people_id_list)}
-        people_orms.sort(key=lambda orm: order_map.get(orm.id, len(order_map)))
-        for people_orm in people_orms:
-            people = people_orm.to_people()
-            peoples.append(people)
-        return peoples
-    
-    def delete(self, people_id: str) -> None:
-        """
-        删除人物从数据库和向量数据库
-        
-        :param people_id: 人物ID
-        """
-        # 1. 从 SQL 数据库软删除人物
-        with self.session_maker() as session:
-            session.query(PeopleORM).filter(
-                PeopleORM.id == people_id,
-                PeopleORM.deleted_at.is_(None)
-            ).update({PeopleORM.deleted_at: func.now()}, synchronize_session=False)
-            session.commit()
-            logging.info(f"人物 {people_id} 标记删除 SQL 成功")
-            
-        # 2. 删除向量数据库中的记录
-        self.vsdb.delete(ids=[people_id])
-        logging.info(f"人物 {people_id} 删除向量数据库成功")
-        
-        # 3. 删除 OBS 存储中的文件
-        keys = self.obs.List(f"peoples/{people_id}/")
-        for key in keys:
-            self.obs.Del(key)
-            logging.info(f"文件 {key} 删除 OBS 成功")
-
-def init():
-    global people_store
-    people_store = PeopleStore()
-
-
-def get_instance() -> PeopleStore:
-    return people_store

src/utils/__init__.py

@@ -1,3 +0,0 @@
-# 导出utils模块中的子模块
-from . import config, obs, ocr, vsdb, logger
-__all__ = ['config', 'obs', 'ocr', 'vsdb', 'logger']

src/utils/config.py

@@ -2,7 +2,6 @@ import configparser
 
 config = None
 
-
 def init(config_file: str):
     global config
     config = configparser.ConfigParser()

src/utils/error.py

@@ -0,0 +1,30 @@
+
+from enum import Enum
+import logging
+from typing import Protocol
+
+class ErrorCode(Enum):
+    SUCCESS = 0
+    MODEL_ERROR = 1000
+    RLDB_ERROR = 2100
+
+class error(Protocol):
+    _error_code: int = 0
+    _error_info: str = ""
+
+    def __init__(self, error_code: ErrorCode, error_info: str):
+        self._error_code = int(error_code.value)
+        self._error_info = error_info
+        logging.info(f"errorcode: {type(self._error_code)}")
+    def __str__(self) -> str:
+        return f"{self.__class__.__name__}({self._error_code}, {self._error_info})"
+    
+    @property
+    def code(self) -> int:
+        return self._error_code
+    @property
+    def info(self) -> str:
+        return self._error_info
+    @property
+    def success(self) -> bool:
+        return self._error_code == 0

src/utils/rldb.py

@@ -0,0 +1,167 @@
+
+from typing import Protocol
+import uuid
+from sqlalchemy import Column, DateTime, String, create_engine, func
+from sqlalchemy.orm import declarative_base, sessionmaker
+from .config import get_instance as get_config
+
+SQLAlchemyBase = declarative_base()
+
+
+class RLDBBaseModel(SQLAlchemyBase):
+    __abstract__ = True
+    id = Column(String(36), primary_key=True, default=lambda: uuid.uuid4().hex)
+    created_at = Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
+    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False)
+    deleted_at = Column(DateTime(timezone=True), nullable=True, index=True)
+    def __str__(self) -> str:
+        # 遍历所有的field，打印出所有的field和value, id 永远排在第一, 三个时间戳排在最后, 其余字段按定义顺序排序
+        fields = [field for field in self.__dict__ if not field.startswith('_')]
+        fields.remove("id") if "id" in fields else None
+        fields.remove("created_at") if "created_at" in fields else None
+        fields.remove("updated_at") if "updated_at" in fields else None
+        fields.remove("deleted_at") if "deleted_at" in fields else None
+        fields = ["id"] + fields + ["created_at", "updated_at", "deleted_at"]
+        field_values = [f"{field}={getattr(self, field)}" for field in fields]
+        return f"{self.__class__.__name__}({', '.join(field_values)})"
+
+
+class RelationalDB(Protocol):
+    def insert(self, data: RLDBBaseModel) -> str:
+        ...
+
+    def update(self, data: RLDBBaseModel) -> str:
+        ...
+
+    def upsert(self, data: RLDBBaseModel) -> str:
+        ...
+
+    def delete(self, data: RLDBBaseModel) -> str:
+        ...
+
+    def get(self,
+            model:  type[RLDBBaseModel],
+            id: str,
+            include_deleted: bool = False
+            ) -> RLDBBaseModel:
+        ...
+
+    def query(self,
+             model: type[RLDBBaseModel],
+             include_deleted: bool = False,
+             limit: int = None,
+             offset: int = None,
+             **filters
+             ) -> list[RLDBBaseModel]:
+        ...
+
+
+class SqlAlchemyDB():
+    def __init__(self, dsn: str = None) -> None:
+        config = get_config()
+        dsn = dsn if dsn else config.get("sqlalchemy", "database_dsn")
+        self.sqldb_engine = create_engine(dsn)
+        SQLAlchemyBase.metadata.create_all(self.sqldb_engine)
+        self.session_maker = sessionmaker(bind=self.sqldb_engine)
+
+    def insert(self, data: RLDBBaseModel) -> str:
+        with self.session_maker() as session:
+            session.add(data)
+            session.commit()
+            return data.id
+
+    def update(self, data: RLDBBaseModel) -> str:
+        with self.session_maker() as session:
+            session.merge(data)
+            session.commit()
+            return data.id
+
+    def upsert(self, data: RLDBBaseModel) -> str:
+        existed = data.id and data.id != "" and self.get(data.__class__, data.id) is not None
+        with self.session_maker() as session:
+            session.merge(data) if existed else session.add(data)
+            session.commit()
+            return data.id
+
+    def delete(self, data: RLDBBaseModel) -> str:
+        with self.session_maker() as session:
+            session.delete(data)
+            session.commit()
+            return data.id
+
+    def get(self,
+            model: type[RLDBBaseModel],
+            id: str,
+            ) -> RLDBBaseModel:
+        with self.session_maker() as session:
+            sel = session.query(model)
+            sel = sel.filter(model.id == id)
+            sel = sel.filter(model.deleted_at.is_(None))
+            result = sel.first()
+        return result
+
+    def query(self,
+             model: type[RLDBBaseModel],
+             limit: int = None,
+             offset: int = None,
+             **filters
+             ) -> list[RLDBBaseModel]:
+        results: list[RLDBBaseModel] = []
+        with self.session_maker() as session:
+            sel = session.query(model)
+            sel = sel.filter(model.deleted_at.is_(None))
+            if filters:
+                sel = sel.filter_by(**filters)
+            if limit:
+                sel = sel.limit(limit)
+            if offset:
+                sel = sel.offset(offset)
+            results = sel.all()
+            results.sort(key=lambda x: x.created_at, reverse=True)
+        return results
+
+_rldb_instance: RelationalDB = None
+
+def init(type: str = "sqlalchemy", dsn: str = None):
+    global _rldb_instance
+    if type == "sqlalchemy":
+        _rldb_instance = SqlAlchemyDB(dsn)
+    else:
+        raise ValueError(f"RelationalDB type {type} not supported")
+
+def get_instance() -> RelationalDB:
+    global _rldb_instance
+    return _rldb_instance
+
+if __name__ == "__main__":
+    class TestModel(RLDBBaseModel):
+        __tablename__ = "test_model"
+        name = Column(String(36), nullable=True)
+        conf = Column(String(96), nullable=True)
+    init("sqlalchemy", dsn="sqlite:///./demo_storage/rldb.db")
+    db = get_instance()
+    
+    test_data = TestModel(name="test", conf="test.config")
+    print(f"before insert: {test_data}")
+    ret = db.insert(test_data)
+    print(f"after insert: {test_data}")
+    
+    print(f"before update: {test_data}")
+    test_data.conf = "test.config.new"
+    ret = db.update(test_data)
+    print(f"after update: {test_data}")
+    
+    test2_data = TestModel(name="test", conf="test2.config")
+    print(f"before upsert: {test2_data}")
+    ret = db.upsert(test2_data)
+    print(f"after upsert: {test2_data}")
+    
+    get_data = db.get(TestModel, test_data.id)
+    print(f"get data: {get_data}")
+
+    query_data = db.query(TestModel, name="test")
+    for data in query_data:
+        print(data.id, data.name, data.conf)
+        print(f"query data: {data}")
+        ret = db.delete(data)
+        print(f"delete data.id: {ret}")

src/utils/vsdb.py

@@ -1,241 +0,0 @@
-import uuid
-import chromadb
-import logging
-from typing import Protocol
-from chromadb.config import Settings
-from chromadb.utils import embedding_functions
-from .config import get_instance as get_config
-
-class VectorDB(Protocol):
-    
-    def insert(self, metadatas: list[dict], documents: list[str], ids: list[str] = None) -> list[str]:
-        """
-        插入向量到数据库
-        
-        Args:
-            vector (list[float]): 向量
-            metadata (dict): 元数据
-        
-        Returns:
-            bool: 是否插入成功
-        """
-        ...
-
-    def delete(self, ids: list[str]) -> bool:
-        """
-        Delete documents from a collection.
-        
-        Args:
-            ids: List of IDs to delete
-        
-        Returns:
-            bool: Whether deletion was successful
-        """
-        ...
-
-    def query(self, metadatas: dict, ids: list[str], top_k: int = 5) -> list[dict]:
-        """
-        查询向量数据库
-        
-        Args:
-            query_vector (list[float]): 查询向量
-            top_k (int, optional): 返回Top K结果. Defaults to 5.
-        
-        Returns:
-            list[dict]: 查询结果列表
-        """
-        ...
-    
-    def search(self, document: str, metadatas: dict, ids: list[str] = None, top_k: int = 5) -> list[dict]:
-        """
-        搜索向量数据库
-        
-        Args:
-            document: Document to search
-            metadatas: Metadata to filter by
-            ids: List of IDs to filter by
-            top_k (int, optional): 返回Top K结果. Defaults to 5.
-        
-        Returns:
-            list[dict]: 查询结果列表
-        """
-        ...
-        
-class ChromaDB:
-    def __init__(self, **kwargs):
-        """
-        Initialize the ChromaDB instance.
-        """
-        config = get_config()
-        self.embedding_functions = embedding_functions.OpenAIEmbeddingFunction(
-            api_base=config.get("voc-engine_embedding", "api_url"),
-            api_key=config.get("voc-engine_embedding", "api_key"),
-            model_name=config.get("voc-engine_embedding", "endpoint"),
-        )
-        persist_directory = config.get("chroma_vsdb", "database_dir", fallback=None)
-        logging.debug(f"persist_directory: {persist_directory}")
-        if persist_directory:
-            self.client = chromadb.PersistentClient(
-                path=persist_directory,
-                settings=Settings(anonymized_telemetry=False)
-            )
-        else:
-            self.client = chromadb.Client(
-                settings=Settings(anonymized_telemetry=False),
-            )
-        self.collection_name = config.get("chroma_vsdb", "collection_name", fallback="peoples")
-        metadata: dict = kwargs.get('collection_metadata', {'hnsw:space': 'cosine'})
-        metadata['hnsw:space'] = metadata.get('hnsw:space', 'cosine')
-        self.collection = self.client.get_or_create_collection(
-            name=self.collection_name,
-            embedding_function=self.embedding_functions,
-            metadata=metadata,
-        )
-        
-    def insert(self, metadatas: list[dict], documents: list[str], ids: list[str] = None) -> list[str]:
-        """
-        Insert documents into a collection.
-        
-        Args:
-            metadatas: List of metadata corresponding to each document
-            documents: List of documents to insert
-            ids: Optional list of unique IDs for each document. If None, IDs will be generated.
-        
-        Returns:
-            list[str]: List of inserted IDs
-        """
-        
-        if not ids:
-            # Generate unique IDs if not provided
-            ids = [str(uuid.uuid4()) for _ in range(len(documents))]
-        
-        self.collection.add(
-            documents=documents,
-            metadatas=metadatas,
-            ids=ids
-        )
-        
-        return ids
-    
-    def delete(self, ids: list[str]) -> bool:
-        """
-        Delete documents from a collection.
-        
-        Args:
-            ids: List of IDs to delete
-        
-        Returns:
-            bool: Whether deletion was successful
-        """
-        try:
-            self.collection.delete(ids)
-            return True
-        except Exception as e:
-            print(f"Error deleting documents: {e}")
-            return False
-    
-    def query(self, metadatas: dict, ids: list[str] = None, top_k: int = 5) -> list[dict]:
-        """
-        查询向量数据库
-        
-        Args:
-            metadatas: Metadata to filter by
-            ids: List of IDs to query
-            top_k (int, optional): 返回Top K结果. Defaults to 5.
-        
-        Returns:
-            list[dict]: 查询结果列表
-        """
-        results = self.collection.query(
-            query_embeddings=None,
-            query_texts=None,
-            n_results=top_k,
-            where=metadatas,
-            ids=ids,
-            include=["documents", "metadatas", "distances"],
-        )
-        formatted_results = []
-        for i in range(len(results['ids'][0])):
-            result = {
-                'id': results['ids'][0][i],
-                'distance': results['distances'][0][i],
-                'metadata': results['metadatas'][0][i] if results['metadatas'][0] else {},
-                'document': results['documents'][0][i] if results['documents'][0] else ''
-            }
-            formatted_results.append(result)
-        return formatted_results
-    
-    def search(self, document: str, metadatas: dict, ids: list[str] = None, top_k: int = 5) -> list[dict]:
-        """
-        搜索向量数据库
-        
-        Args:
-            document: Document to search
-            metadatas: Metadata to filter by
-            ids: List of IDs to filter by
-            top_k (int, optional): 返回Top K结果. Defaults to 5.
-        
-        Returns:
-            list[dict]: 查询结果列表
-        """
-        results = self.collection.query(
-            query_embeddings=None,
-            query_texts=[document],
-            n_results=top_k,
-            where=metadatas if metadatas else None,
-            ids=ids,
-            include=["documents", "metadatas", "distances"],
-        )
-        formatted_results = []
-        for i in range(len(results['ids'][0])):
-            logging.info(f"result id: {results['ids'][0][i]}, distance: {results['distances'][0][i]}")
-            result = {
-                'id': results['ids'][0][i],
-                'distance': results['distances'][0][i],
-                'metadata': results['metadatas'][0][i] if results['metadatas'][0] else {},
-                'document': results['documents'][0][i] if results['documents'][0] else ''
-            }
-            formatted_results.append(result)
-        return formatted_results
-    pass
-
-_vsdb_instance: VectorDB = None
-
-def init():
-    global _vsdb_instance
-    _vsdb_instance = ChromaDB()
-
-def get_instance() -> VectorDB:
-    global _vsdb_instance
-    return _vsdb_instance
-
-
-if __name__ == "__main__":
-    import os
-    
-    from logger import init as init_logger
-    init_logger(log_dir="logs", log_file="test", log_level=logging.INFO, console_log_level=logging.DEBUG)
-    
-    from config import init as init_config
-    config_file = os.path.join(os.path.dirname(__file__), "../../configuration/test_conf.ini")
-    init_config(config_file)
-    
-    init()
-    vsdb = get_instance()
-    metadatas = [
-        {'name': '丽丽'},
-        {'name': '志刚'},
-        {'name': '张三'},
-        {'name': '李四'},
-    ]
-    documents = [
-        '姓名: 丽丽, 性别: 女, 年龄: 23, 爱好: 爬山、骑行、攀岩、跳伞、蹦极',
-        "姓名: 志刚, 性别: 男, 年龄: 25, 爱好: 读书、游戏",
-        "姓名: 张三, 性别: 男, 年龄: 30, 爱好: 画画、写作、阅读、逛展、旅行",
-        "姓名: 李四, 性别: 男, 年龄: 35, 爱好: 做饭、美食、旅游"
-    ]
-    search_text = '25岁以下的'
-    ids = vsdb.insert(metadatas, documents)
-    results = vsdb.search(search_text, None, None, top_k=4)
-    for result in results:
-        print(result['document'], ' ', result['distance'])

src/web/api.py

@@ -1,20 +1,16 @@
-
-import json
-import logging
 import os
 import uuid
-
+import logging
 from typing import Any, Optional
-from fastapi import FastAPI, File, UploadFile, Query
+from fastapi import FastAPI, UploadFile, File, Query
 from pydantic import BaseModel
-
-from ai.agent import ExtractPeopleAgent
-from models.people import People
-from utils import obs, ocr, vsdb
-from storage.people_store import get_instance as get_people_store
 from fastapi.middleware.cors import CORSMiddleware
+from services.people import get_instance as get_people_service
+from models.people import People
+from agents.extract_people_agent import ExtractPeopleAgent
+from utils import obs, ocr
 
-api = FastAPI(title="Single People Management and Searching", version="1.0.0")
+api = FastAPI(title="Single People Management and Searching", version="0.1")
 api.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -28,19 +24,21 @@ class BaseResponse(BaseModel):
     error_info: str
     data: Optional[Any] = None
 
+@api.post("/ping")
+async def ping():
+    return BaseResponse(error_code=0, error_info="success")
+
 class PostInputRequest(BaseModel):
     text: str
 
-@api.post("/input")
+@api.post("/recognition/input")
 async def post_input(request: PostInputRequest):
-    extra_agent = ExtractPeopleAgent()
-    people = extra_agent.extract_people_info(request.text)
-    logging.info(f"people: {people}")
+    people = extract_people(request.text)
     resp = BaseResponse(error_code=0, error_info="success")
     resp.data = people.to_dict()
     return resp
 
-@api.post("/input_image")
+@api.post("/recognition/image")
 async def post_input_image(image: UploadFile = File(...)):
     # 实现上传图片的处理
     # 保存上传的图片文件
@@ -65,20 +63,53 @@ async def post_input_image(image: UploadFile = File(...)):
     ocr_result = ocr_util.recognize_image_text(obs_url)
     logging.info(f"ocr_result: {ocr_result}")
     
-    post_input_request = PostInputRequest(text=ocr_result)
-    return await post_input(post_input_request)
+    people = extract_people(ocr_result, obs_url)
+    resp = BaseResponse(error_code=0, error_info="success")
+    resp.data = people.to_dict()
+    return resp
+
+def extract_people(text: str, cover_link: str = None) -> People:
+    extra_agent = ExtractPeopleAgent()
+    people = extra_agent.extract_people_info(text)
+    people.cover = cover_link
+    logging.info(f"people: {people}")
+    return people
 
 class PostPeopleRequest(BaseModel):
     people: dict
 
-@api.post("/peoples")
+@api.post("/people")
 async def post_people(post_people_request: PostPeopleRequest):
     logging.debug(f"post_people_request: {post_people_request}")
     people = People.from_dict(post_people_request.people)
-    store = get_people_store()
-    people.id = store.save(people)    
+    service = get_people_service()
+    people.id, error = service.save(people)
+    if not error.success:
+        return BaseResponse(error_code=error.code, error_info=error.info)
     return BaseResponse(error_code=0, error_info="success", data=people.id)
 
+@api.put("/people/{people_id}")
+async def update_people(people_id: str, post_people_request: PostPeopleRequest):
+    logging.debug(f"post_people_request: {post_people_request}")
+    people = People.from_dict(post_people_request.people)
+    people.id = people_id
+    service = get_people_service()
+    res, error = service.get(people_id)
+    if not error.success or not res:
+        return BaseResponse(error_code=error.code, error_info=error.info)
+    _, error = service.save(people)
+    if not error.success:
+        return BaseResponse(error_code=error.code, error_info=error.info)
+    return BaseResponse(error_code=0, error_info="success")
+
+@api.delete("/people/{people_id}")
+async def delete_people(people_id: str):
+    service = get_people_service()
+    error = service.delete(people_id)
+    if not error.success:
+        return BaseResponse(error_code=error.code, error_info=error.info)
+    return BaseResponse(error_code=0, error_info="success")
+
 class GetPeopleRequest(BaseModel):
     query: Optional[str] = None
     conds: Optional[dict] = None
@@ -93,8 +124,6 @@ async def get_peoples(
     marital_status: Optional[str] = Query(None, description="婚姻状态"),
     limit: int = Query(10, description="分页大小"),
     offset: int = Query(0, description="分页偏移量"),
-    search: Optional[str] = Query(None, description="搜索内容"),
-    top_k: int = Query(5, description="搜索结果数量"),
     ):
     
     # 解析查询参数为字典
@@ -110,21 +139,14 @@ async def get_peoples(
     if marital_status:
         conds["marital_status"] = marital_status
     
-    logging.info(f"conds: , limit: {limit}, offset: {offset}, search: {search}, top_k: {top_k}")
+    logging.info(f"conds: , limit: {limit}, offset: {offset}")
 
     results = []
-    store = get_people_store()
-    if search:
-        results = store.search(search, conds, ids=None, top_k=top_k)
-        logging.info(f"search results: {results}")
-    else:
-        results = store.query(conds, limit=limit, offset=offset)
-        logging.info(f"query results: {results}")
+    service = get_people_service()
+    results, error = service.list(conds, limit=limit, offset=offset)
+    logging.info(f"query results: {results}")
+    if not error.success:
+        return BaseResponse(error_code=error.code, error_info=error.info)
     peoples = [people.to_dict() for people in results]
     return BaseResponse(error_code=0, error_info="success", data=peoples)
 
-@api.delete("/peoples/{people_id}")
-async def delete_people(people_id: str):
-    store = get_people_store()
-    store.delete(people_id)
-    return BaseResponse(error_code=0, error_info="success")

test/test_logger.py

@@ -1,16 +0,0 @@
-import sys
-import os
-sys.path.append(os.path.join(os.path.dirname(__file__), '../src'))
-
-from utils.logger import init
-import logging
-
-# 初始化日志
-init()
-
-# 测试不同级别的日志
-logging.debug("这是一条调试信息")
-logging.info("这是一条普通信息")
-logging.warning("这是一条警告信息")
-logging.error("这是一条错误信息")
-logging.critical("这是一条严重错误信息")