完成：词典和资讯 API 支持 async 和数据库缓存

backend/app/agent_subgraphs/dictionary/api_client.py

@@ -1,28 +1,68 @@
 """
 词典API调用工具
 Dictionary API Client
+支持 async 和真实数据库缓存
 """
 
 from typing import Dict, Any, Optional
-import requests
-import json
 from dataclasses import dataclass
 
 
 @dataclass
 class DictionaryAPIClient:
     """
-    词典API客户端 - 可扩展支持多种API
+    词典API客户端 - 可扩展支持多种API和数据库缓存
     """
     
     # 可以配置多个API
     youdao_api_key: Optional[str] = None
     youdao_api_secret: Optional[str] = None
     
-    def query_word_youdao(self, word: str) -> Optional[Dict[str, Any]]:
+    # 数据库 Repository（可选，用于缓存单词查询）
+    word_repository: Optional[Any] = None
+    
+    def __post_init__(self):
+        """初始化后，如果有 repository 则支持 async"""
+        pass
+    
+    async def query_word_db(self, user_id: str, word: str) -> Optional[Dict[str, Any]]:
+        """从数据库缓存查询单词"""
+        if not self.word_repository:
+            return None
+        try:
+            entity = await self.word_repository.search_by_word(user_id, word)
+            if entity:
+                return {
+                    "phonetic": entity.phonetic,
+                    "part_of_speech": entity.part_of_speech,
+                    "definitions": [entity.definition] if entity.definition else [],
+                    "examples": [entity.examples] if entity.examples else []
+                }
+        except Exception as e:
+            print(f"从数据库查询单词失败：{e}")
+        return None
+    
+    async def cache_word_db(self, user_id: str, word: str, data: Dict[str, Any]):
+        """把单词查询结果缓存到数据库"""
+        if not self.word_repository:
+            return
+        try:
+            from ...db.models import WordEntity
+            entity = WordEntity(
+                user_id=user_id,
+                word=word,
+                phonetic=data.get("phonetic", ""),
+                part_of_speech=data.get("part_of_speech", ""),
+                definition=data.get("definitions", [""])[0] if data.get("definitions") else "",
+                examples=data.get("examples", [""])[0] if data.get("examples") else ""
+            )
+            await self.word_repository.insert(entity)
+        except Exception as e:
+            print(f"缓存单词到数据库失败：{e}")
+    
+    async def query_word_youdao(self, word: str) -> Optional[Dict[str, Any]]:
         """
-        调用有道词典API查询单词
-        
+        调用有道词典API查询单词（async 版本）
         注意：需要配置有道API密钥才能使用
         文档：https://ai.youdao.com/doc.s#guide
         """
@@ -30,7 +70,7 @@ class DictionaryAPIClient:
             return None
         
         try:
-            # TODO: 实现真实的有道API调用
+            # TODO: 实现真实的有道API调用（用 httpx 或 aiohttp）
             # 这里是示例结构
             return None
             
@@ -38,14 +78,13 @@ class DictionaryAPIClient:
             print(f"有道API调用失败：{e}")
             return None
     
-    def translate_baidu(self, text: str, from_lang: str = "auto", to_lang: str = "zh") -> Optional[Dict[str, Any]]:
+    async def translate_baidu(self, text: str, from_lang: str = "auto", to_lang: str = "zh") -> Optional[Dict[str, Any]]:
         """
-        调用百度翻译API
-        
+        调用百度翻译API（async 版本）
         注意：需要配置百度API密钥才能使用
         文档：https://fanyi-api.baidu.com/doc/21
         """
-        # TODO: 实现真实的百度翻译API调用
+        # TODO: 实现真实的百度翻译API调用（用 httpx 或 aiohttp）
         return None
     
     def query_word_mock(self, word: str) -> Dict[str, Any]:
@@ -123,7 +162,31 @@ class DictionaryAPIClient:
             {"term": "LLM", "type": "技术术语", "definition": "大语言模型", "confidence": 0.92},
             {"term": "NLP", "type": "技术术语", "definition": "自然语言处理", "confidence": 0.88}
         ]
+    
+    # ========== 统一入口（优先查缓存） ==========
+    async def query_word(self, user_id: str = "default", word: str = "", use_cache: bool = True) -> Dict[str, Any]:
+        """
+        查询单词（统一入口，优先查数据库缓存）
+        """
+        # 1. 先查数据库缓存
+        if use_cache:
+            cached = await self.query_word_db(user_id, word)
+            if cached:
+                return cached
+        
+        # 2. 查第三方 API（暂未实现）
+        api_result = await self.query_word_youdao(word)
+        if api_result:
+            if use_cache:
+                await self.cache_word_db(user_id, word, api_result)
+            return api_result
+        
+        # 3. 用模拟数据（兜底）
+        mock_result = self.query_word_mock(word)
+        if use_cache:
+            await self.cache_word_db(user_id, word, mock_result)
+        return mock_result
 
 
-# 单例实例
+# 单例实例（模拟模式，保持向后兼容）
 dictionary_api = DictionaryAPIClient()

backend/app/agent_subgraphs/news_analysis/api_client.py

@@ -1,6 +1,7 @@
 """
 资讯子图API调用工具
 News Analysis API Client
+支持 async 和真实数据库缓存
 """
 
 from typing import Dict, Any, Optional, List
@@ -12,12 +13,55 @@ from dataclasses import dataclass
 @dataclass
 class NewsAPIClient:
     """
-    资讯API客户端 - 可扩展支持多种API
+    资讯API客户端 - 可扩展支持多种API和数据库缓存
     """
     
     # 可以配置多个API（如 NewsAPI, 今日头条, 百度新闻等）
     newsapi_key: Optional[str] = None
     
+    # 数据库 Repository（可选，用于缓存新闻）
+    news_repository: Optional[Any] = None
+    
+    async def query_news_db(self, user_id: str, keyword: str) -> Optional[List[Dict[str, Any]]]:
+        """从数据库缓存查询新闻"""
+        if not self.news_repository:
+            return None
+        try:
+            entities = await self.news_repository.search_by_keywords(user_id, keyword)
+            if entities:
+                return [
+                    {
+                        "title": e.title,
+                        "source": e.source,
+                        "summary": e.content,
+                        "keywords": e.keywords.split(",") if e.keywords else [],
+                        "author": "",
+                        "published_at": e.created_at
+                    }
+                    for e in entities
+                ]
+        except Exception as e:
+            print(f"从数据库查询新闻失败：{e}")
+        return None
+    
+    async def cache_news_db(self, user_id: str, news: Dict[str, Any]):
+        """把新闻缓存到数据库"""
+        if not self.news_repository:
+            return
+        try:
+            from ...db.models import NewsEntity
+            entity = NewsEntity(
+                user_id=user_id,
+                title=news.get("title", ""),
+                content=news.get("summary", ""),
+                url=news.get("url", ""),
+                source=news.get("source", ""),
+                keywords=",".join(news.get("keywords", []))
+            )
+            await self.news_repository.insert(entity)
+        except Exception as e:
+            print(f"缓存新闻到数据库失败：{e}")
+    
     def query_news_mock(self, query: str) -> List[Dict[str, Any]]:
         """
         模拟查询资讯 - 目前用于演示
@@ -123,7 +167,30 @@ class NewsAPIClient:
 💡 建议：继续关注行业动态，把握发展机遇！
 """
         return report
+    
+    # ========== 统一入口（优先查缓存） ==========
+    async def query_news(self, user_id: str = "default", query: str = "", use_cache: bool = True) -> List[Dict[str, Any]]:
+        """查询新闻（统一入口，优先查数据库缓存）"""
+        # 1. 先查数据库缓存
+        if use_cache:
+            cached = await self.query_news_db(user_id, query)
+            if cached:
+                return cached
+        
+        # 2. 查第三方 API（暂未实现）
+        # api_result = await self.query_news_api(query)
+        # if api_result:
+        #     for news in api_result:
+        #         await self.cache_news_db(user_id, news)
+        #     return api_result
+        
+        # 3. 用模拟数据（兜底）
+        mock_result = self.query_news_mock(query)
+        if use_cache:
+            for news in mock_result:
+                await self.cache_news_db(user_id, news)
+        return mock_result
 
 
-# 单例实例
+# 单例实例（模拟模式，保持向后兼容）
 news_api = NewsAPIClient()

backend/app/backend.py

@@ -24,7 +24,10 @@ from .agent_subgraphs.common.human_review import (
     HumanReview
 )
 from .agent_subgraphs.contact.api_client import ContactAPIClient
+from .agent_subgraphs.dictionary.api_client import DictionaryAPIClient
+from .agent_subgraphs.news_analysis.api_client import NewsAPIClient
 from .db.init_db import init_subgraph_tables
+from .db.models import ContactRepository, DictionaryRepository, NewsRepository
 from .logger import info, error
 
 @asynccontextmanager
@@ -42,10 +45,17 @@ async def lifespan(app: FastAPI):
         await agent_service.initialize()
         
         # 3. 创建历史查询服务
-        history_service = ThreadHistoryService(checkpointer)
+        history_service = ThreadHistoryService(checkpointer.conn)
         
-        # 3.5 创建子图 API 客户端（真实数据库模式）
+        # 3.5 创建子图 Repositories
+        contact_repo = ContactRepository(checkpointer.conn)
+        dictionary_repo = DictionaryRepository(checkpointer.conn)
+        news_repo = NewsRepository(checkpointer.conn)
+        
+        # 3.6 创建子图 API 客户端（真实数据库模式）
         contact_api = ContactAPIClient(checkpointer.conn)
+        dictionary_api = DictionaryAPIClient(word_repository=dictionary_repo)
+        news_api = NewsAPIClient(news_repository=news_repo)
         
         # 4. 创建审核管理器
         review_manager = ReviewManager(InMemoryReviewStore())
@@ -55,6 +65,11 @@ async def lifespan(app: FastAPI):
         app.state.history_service = history_service
         app.state.review_manager = review_manager
         app.state.contact_api = contact_api
+        app.state.dictionary_api = dictionary_api
+        app.state.news_api = news_api
+        app.state.contact_repo = contact_repo
+        app.state.dictionary_repo = dictionary_repo
+        app.state.news_repo = news_repo
         
         # 应用运行中...
         yield