统一 Repository 方案:添加 db 基类和子图模型 + 通讯录 API 支持真实数据库
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2026-04-27 16:37:45 +08:00
parent 0cb9571db7
commit 29016f8792
6 changed files with 460 additions and 57 deletions

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@@ -1,8 +1,7 @@
"""
通讯录子图 API 调用工具
Contact Subgraph API Client
支持模拟数据和真实数据库两种模式
"""
from typing import Dict, Any, Optional, List
from datetime import datetime
from dataclasses import dataclass
@@ -10,6 +9,8 @@ from dataclasses import dataclass
from .state import Contact, Email
# ========== 模拟数据(保留作为备选)==========
# 模拟数据库
MOCK_CONTACTS_DB = {}
MOCK_EMAILS_DB = []
@@ -18,13 +19,75 @@ MOCK_EMAILS_DB = []
@dataclass
class ContactAPIClient:
"""
通讯录API客户端 - 可扩展支持多种后端
通讯录 API 客户端 - 支持真实数据库和模拟模式
使用方式:
1. 真实数据库模式:传入 conn 参数
2. 模拟模式:不传入 conn或 conn 为 None
"""
def __init__(self, conn=None):
"""
初始化
Args:
conn: 数据库连接(来自 checkpointer.conn为 None 时使用模拟模式
"""
self.conn = conn
self._use_db = conn is not None
if self._use_db:
try:
from ...db.models import ContactRepository, ContactEntity
self._repo = ContactRepository(conn)
except Exception as e:
print(f"Repository 初始化失败,回退到模拟模式: {e}")
self._use_db = False
self._repo = None
# ========== 真实数据库方法 ==========
async def list_contacts_db(self, user_id: str = "default") -> List[Contact]:
"""真实数据库:获取联系人列表"""
if not self._repo:
return await self.list_contacts_mock(user_id)
entities = await self._repo.list_by_user(user_id)
return [
Contact(
id=e.id,
name=e.name,
phone=e.phone,
email=e.email,
company=e.company,
position=e.position,
created_at=e.created_at
)
for e in entities
]
async def add_contact_db(self, user_id: str, contact: Contact) -> bool:
"""真实数据库:添加联系人"""
if not self._repo:
return await self.save_contact_mock(user_id, contact)
from ...db.models import ContactEntity
entity = ContactEntity(
user_id=user_id,
name=contact.name,
phone=contact.phone,
email=contact.email,
company=contact.company,
position=contact.position,
created_at=contact.created_at or datetime.now().isoformat()
)
await self._repo.insert(entity)
return True
# ========== 模拟数据方法(保留)==========
def list_contacts_mock(self, user_id: str = "default") -> List[Contact]:
"""
模拟查询联系人列表
"""
"""模拟查询联系人列表"""
if user_id not in MOCK_CONTACTS_DB:
# 初始化一些示例数据
MOCK_CONTACTS_DB[user_id] = [
@@ -54,16 +117,13 @@ class ContactAPIClient:
company="咨询公司",
position="顾问",
created_at=datetime.now().isoformat()
)
),
]
return MOCK_CONTACTS_DB[user_id]
def extract_contact_info_mock(self, query: str) -> Optional[Dict[str, Any]]:
"""
模拟从查询中提取联系人信息
"""
# 简化的提取逻辑
"""模拟从查询中提取联系人信息"""
import re
# 提取邮箱
@@ -71,11 +131,8 @@ class ContactAPIClient:
# 提取手机号
phone_match = re.search(r'1[3-9]\d{9}', query)
# 提取姓名(简单匹配)
# 先看是否有"添加"等关键词
if any(keyword in query for keyword in ["添加", "add"]):
# 尝试提取姓名
name = "未知"
# 简单的逻辑:去掉关键词、去掉邮箱和电话后剩下的
clean_query = query
if email_match:
clean_query = clean_query.replace(email_match.group(), "")
@@ -95,9 +152,7 @@ class ContactAPIClient:
return None
def save_contact_mock(self, user_id: str, contact: Contact) -> bool:
"""
模拟保存联系人
"""
"""模拟保存联系人"""
if user_id not in MOCK_CONTACTS_DB:
MOCK_CONTACTS_DB[user_id] = []
@@ -108,13 +163,10 @@ class ContactAPIClient:
return True
def list_emails_mock(self) -> List[Email]:
"""
模拟查询邮件列表
"""
"""模拟查询邮件列表"""
global MOCK_EMAILS_DB
if not MOCK_EMAILS_DB:
# 初始化一些示例邮件
MOCK_EMAILS_DB = [
Email(
id="1",
@@ -131,16 +183,13 @@ class ContactAPIClient:
recipients=["user@example.com"],
date=datetime.now().isoformat(),
body="项目进度良好,继续保持。"
)
),
]
return MOCK_EMAILS_DB
def generate_email_draft_mock(self, query: str) -> Dict[str, str]:
"""
模拟生成邮件草稿
"""
# 简单的模板生成
"""模拟生成邮件草稿"""
return {
"subject": f"Re: {query}",
"recipient": "recipient@example.com",
@@ -148,10 +197,9 @@ class ContactAPIClient:
}
def send_email_mock(self, recipient: str, subject: str, body: str) -> Dict[str, Any]:
"""
模拟发送邮件
"""
# 记录到模拟数据库
"""模拟发送邮件"""
global MOCK_EMAILS_DB
MOCK_EMAILS_DB.append(
Email(
id=str(len(MOCK_EMAILS_DB) + 1),
@@ -169,10 +217,7 @@ class ContactAPIClient:
}
def sniff_contacts_mock(self, query: str) -> Dict[str, Any]:
"""
模拟智能嗅探联系人
"""
# 简化的检测逻辑
"""模拟智能嗅探联系人"""
import re
emails = re.findall(r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}', query)
@@ -192,30 +237,35 @@ class ContactAPIClient:
"suggestion": "是否添加这些联系人?"
}
# 公共方法
def list_contacts(self, user_id: str = "default") -> List[Contact]:
"""查询联系人列表"""
# ========== 公共方法(自动选择模式)==========
async def list_contacts(self, user_id: str = "default") -> List[Contact]:
"""获取联系人列表(自动选择数据库或模拟模式)"""
if self._use_db:
return await self.list_contacts_db(user_id)
return self.list_contacts_mock(user_id)
def add_contact(self, user_id: str, contact: Contact) -> bool:
"""添加联系人"""
async def add_contact(self, user_id: str, contact: Contact) -> bool:
"""添加联系人(自动选择数据库或模拟模式)"""
if self._use_db:
return await self.add_contact_db(user_id, contact)
return self.save_contact_mock(user_id, contact)
def list_emails(self, user_id: str = "default") -> List[Email]:
"""查询邮件列表"""
async def list_emails(self, user_id: str = "default") -> List[Email]:
"""查询邮件列表(目前用模拟)"""
return self.list_emails_mock()
def generate_email_draft(self, query: str) -> Dict[str, str]:
"""生成邮件草稿"""
async def generate_email_draft(self, query: str) -> Dict[str, str]:
"""生成邮件草稿(目前用模拟)"""
return self.generate_email_draft_mock(query)
def send_email(self, user_id: str, recipient: str, subject: str, body: str) -> bool:
"""发送邮件"""
async def send_email(self, user_id: str, recipient: str, subject: str, body: str) -> bool:
"""发送邮件(目前用模拟)"""
result = self.send_email_mock(recipient, subject, body)
return result.get("success", False)
def sniff_contacts(self, query: str) -> List[Contact]:
"""智能嗅探联系人"""
async def sniff_contacts(self, query: str) -> List[Contact]:
"""智能嗅探联系人(目前用模拟)"""
result = self.sniff_contacts_mock(query)
contact_dicts = result.get("contacts", [])
return [
@@ -232,5 +282,5 @@ class ContactAPIClient:
]
# 单例实例
# 全局实例(模拟模式,保留向后兼容)
contact_api = ContactAPIClient()

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@@ -23,6 +23,8 @@ from .agent_subgraphs.common.human_review import (
ReviewStatus,
HumanReview
)
from .agent_subgraphs.contact.api_client import ContactAPIClient
from .db.init_db import init_subgraph_tables
from .logger import info, error
@asynccontextmanager
@@ -32,6 +34,9 @@ async def lifespan(app: FastAPI):
async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:
await checkpointer.setup()
# 1.5 初始化子图表
await init_subgraph_tables(checkpointer.conn)
# 2. 构建 AI Agent 服务
agent_service = AIAgentService(checkpointer)
await agent_service.initialize()
@@ -39,6 +44,9 @@ async def lifespan(app: FastAPI):
# 3. 创建历史查询服务
history_service = ThreadHistoryService(checkpointer)
# 3.5 创建子图 API 客户端(真实数据库模式)
contact_api = ContactAPIClient(checkpointer.conn)
# 4. 创建审核管理器
review_manager = ReviewManager(InMemoryReviewStore())
@@ -46,6 +54,7 @@ async def lifespan(app: FastAPI):
app.state.agent_service = agent_service
app.state.history_service = history_service
app.state.review_manager = review_manager
app.state.contact_api = contact_api
# 应用运行中...
yield

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@@ -0,0 +1,7 @@
"""
数据库模块
提供统一的 Repository 和实体类
"""
from .base import BaseRepository, BaseEntity
__all__ = ['BaseRepository', 'BaseEntity']

134
backend/app/db/base.py Normal file
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@@ -0,0 +1,134 @@
"""
统一的 Repository 基类
所有子图的数据操作都用这个,避免重复代码
"""
import json
from typing import Any, List, Dict, Optional
from dataclasses import dataclass, asdict
@dataclass
class BaseEntity:
"""实体基类,用于类型提示和自动序列化"""
id: Optional[str] = None
user_id: Optional[str] = None
created_at: Optional[str] = None
def to_dict(self) -> Dict[str, Any]:
"""转换为字典(用于存储)"""
return asdict(self)
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'BaseEntity':
"""从字典创建实体"""
return cls(**data)
class BaseRepository:
"""
统一的 Repository 基类
核心思想:
1. 传入连接,复用现有 checkpointer.conn
2. 提供通用 CRUD 方法
3. 表名和字段映射通过子类定义
"""
# 子类需要定义的配置
table_name: str
entity_class: type # 继承自 BaseEntity 的实体类
id_column: str = "id"
user_id_column: str = "user_id"
def __init__(self, conn):
"""
构造函数:传入数据库连接
这样可以复用 checkpointer.conn不需要额外的连接池
"""
self.conn = conn
# ========== 通用 CRUD 方法 ==========
async def insert(self, entity: BaseEntity) -> str:
"""插入单个实体,返回 ID"""
data = entity.to_dict()
data.pop('id', None) # 如果 id 是自增的
if not data:
raise ValueError("实体数据为空")
columns = list(data.keys())
placeholders = [f"${i+1}" for i in range(len(columns))]
values = list(data.values())
sql = f"""
INSERT INTO {self.table_name} ({', '.join(columns)})
VALUES ({', '.join(placeholders)})
RETURNING {self.id_column}
"""
async with self.conn.cursor() as cur:
await cur.execute(sql, values)
row = await cur.fetchone()
return row[self.id_column] if row else None
async def update(self, entity_id: str, data: Dict[str, Any]) -> bool:
"""更新实体"""
if not data:
return False
set_clause = ", ".join([f"{k} = ${i+1}" for i, k in enumerate(data.keys())])
values = list(data.values()) + [entity_id]
sql = f"""
UPDATE {self.table_name}
SET {set_clause}
WHERE {self.id_column} = ${len(values)}
"""
async with self.conn.cursor() as cur:
await cur.execute(sql, values)
return cur.rowcount > 0
async def delete(self, entity_id: str) -> bool:
"""删除实体"""
sql = f"DELETE FROM {self.table_name} WHERE {self.id_column} = $1"
async with self.conn.cursor() as cur:
await cur.execute(sql, (entity_id,))
return cur.rowcount > 0
async def get_by_id(self, entity_id: str) -> Optional[BaseEntity]:
"""根据 ID 查询单个实体"""
sql = f"SELECT * FROM {self.table_name} WHERE {self.id_column} = $1"
async with self.conn.cursor() as cur:
await cur.execute(sql, (entity_id,))
row = await cur.fetchone()
if row:
return self.entity_class.from_dict(dict(row))
return None
async def list_by_user(self, user_id: str, limit: int = 100) -> List[BaseEntity]:
"""查询某个用户的所有实体"""
sql = f"""
SELECT * FROM {self.table_name}
WHERE {self.user_id_column} = $1
ORDER BY created_at DESC
LIMIT $2
"""
async with self.conn.cursor() as cur:
await cur.execute(sql, (user_id, limit))
rows = await cur.fetchall()
return [self.entity_class.from_dict(dict(row)) for row in rows]
# ========== 自定义查询方法(留钩子)==========
async def custom_query(self, sql: str, params: tuple = ()) -> List[Dict]:
"""执行自定义 SQL"""
async with self.conn.cursor() as cur:
await cur.execute(sql, params)
rows = await cur.fetchall()
return [dict(row) for row in rows]

97
backend/app/db/init_db.py Normal file
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@@ -0,0 +1,97 @@
"""
子图数据库表初始化
在 FastAPI 启动时创建表
"""
from typing import Optional
async def init_subgraph_tables(conn):
"""
初始化子图所需的表
Args:
conn: 数据库连接(来自 AsyncPostgresSaver
"""
# 1. contacts 表(通讯录)
await _create_contacts_table(conn)
# 2. words 表(词典)
await _create_words_table(conn)
# 3. news 表(资讯)
await _create_news_table(conn)
async def _create_contacts_table(conn):
"""创建 contacts 表"""
sql = """
CREATE TABLE IF NOT EXISTS contacts (
id VARCHAR(64) PRIMARY KEY,
user_id VARCHAR(64) NOT NULL,
name VARCHAR(100) NOT NULL,
phone VARCHAR(32),
email VARCHAR(100),
company VARCHAR(100),
position VARCHAR(100),
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
INDEX idx_contacts_user (user_id)
);
"""
try:
async with conn.cursor() as cur:
await cur.execute(sql)
# 注释掉 INFO 打印,避免噪声
except Exception as e:
print(f"contacts 表可能已存在: {e}")
async def _create_words_table(conn):
"""创建 words 表"""
sql = """
CREATE TABLE IF NOT EXISTS words (
id VARCHAR(64) PRIMARY KEY,
user_id VARCHAR(64) NOT NULL,
word VARCHAR(100) NOT NULL,
phonetic VARCHAR(100),
part_of_speech VARCHAR(50),
definition TEXT,
examples TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
INDEX idx_words_user (user_id),
INDEX idx_words_word (word)
);
"""
try:
async with conn.cursor() as cur:
await cur.execute(sql)
except Exception as e:
print(f"words 表可能已存在: {e}")
async def _create_news_table(conn):
"""创建 news 表"""
sql = """
CREATE TABLE IF NOT EXISTS news (
id VARCHAR(64) PRIMARY KEY,
user_id VARCHAR(64) NOT NULL,
title VARCHAR(200) NOT NULL,
content TEXT,
url VARCHAR(500),
source VARCHAR(100),
keywords TEXT,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
INDEX idx_news_user (user_id)
);
"""
try:
async with conn.cursor() as cur:
await cur.execute(sql)
except Exception as e:
print(f"news 表可能已存在: {e}")

106
backend/app/db/models.py Normal file
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@@ -0,0 +1,106 @@
"""
子图数据模型和 Repository 定义
只需要定义表名、实体类,基类搞定一切
"""
from typing import List, Optional
from dataclasses import dataclass
from .base import BaseRepository, BaseEntity
# ========== 通讯录 ==========
@dataclass
class ContactEntity(BaseEntity):
"""通讯录实体"""
name: str = ""
phone: str = ""
email: str = ""
company: str = ""
position: str = ""
class ContactRepository(BaseRepository):
"""通讯录 Repository"""
table_name = "contacts"
entity_class = ContactEntity
# 如果需要特殊查询,在这里加方法
async def search_by_name(self, user_id: str, name_keyword: str) -> List[ContactEntity]:
"""自定义查询:按姓名搜索"""
sql = """
SELECT * FROM contacts
WHERE user_id = $1 AND name ILIKE $2
ORDER BY created_at DESC
LIMIT 50
"""
result = await self.custom_query(sql, (user_id, f"%{name_keyword}%"))
return [ContactEntity.from_dict(row) for row in result]
# ========== 词典 ==========
@dataclass
class WordEntity(BaseEntity):
"""单词实体"""
word: str = ""
phonetic: str = ""
part_of_speech: str = ""
definition: str = ""
examples: str = ""
class DictionaryRepository(BaseRepository):
"""词典 Repository"""
table_name = "words"
entity_class = WordEntity
async def search_by_word(self, user_id: str, word: str) -> Optional[WordEntity]:
"""按单词查询"""
sql = """
SELECT * FROM words
WHERE user_id = $1 AND word = $2
LIMIT 1
"""
result = await self.custom_query(sql, (user_id, word))
if result:
return WordEntity.from_dict(result[0])
return None
# ========== 资讯 ==========
@dataclass
class NewsEntity(BaseEntity):
"""资讯实体"""
title: str = ""
content: str = ""
url: str = ""
source: str = ""
keywords: str = ""
class NewsRepository(BaseRepository):
"""资讯 Repository"""
table_name = "news"
entity_class = NewsEntity
async def search_by_keywords(self, user_id: str, keyword: str) -> List[NewsEntity]:
"""按关键词搜索"""
sql = """
SELECT * FROM news
WHERE user_id = $1 AND (title ILIKE $2 OR keywords ILIKE $2)
ORDER BY created_at DESC
LIMIT 50
"""
result = await self.custom_query(sql, (user_id, f"%{keyword}%"))
return [NewsEntity.from_dict(row) for row in result]
# ========== 导出 ==========
__all__ = [
'ContactEntity', 'ContactRepository',
'WordEntity', 'DictionaryRepository',
'NewsEntity', 'NewsRepository',
]