update

backend/app/news_agent/analyzer.py

@@ -9,19 +9,19 @@ from datetime import datetime
 from app.utils.logger import logger
 from app.news_agent.fetcher import NewsItem
 from app.config import get_settings
-from openai import OpenAI
+from openai import AsyncOpenAI
 
 
 class NewsAnalyzer:
-    """新闻 LLM 分析器 (DeepSeek)"""
+    """新闻 LLM 分析器 (DeepSeek) - 异步版本"""
 
     def __init__(self):
         self.settings = get_settings()
         self.client = None
 
         try:
-            # 使用 DeepSeek API
-            self.client = OpenAI(
+            # 使用 DeepSeek API (异步客户端)
+            self.client = AsyncOpenAI(
                 api_key=self.settings.deepseek_api_key,
                 base_url="https://api.deepseek.com"
             )
@@ -249,9 +249,9 @@ class NewsAnalyzer:
             logger.error(f"JSON 数组解析失败: {e}, 响应: {response[:500]}")
             return None
 
-    def analyze_single(self, news_item: NewsItem) -> Optional[Dict[str, Any]]:
+    async def analyze_single(self, news_item: NewsItem) -> Optional[Dict[str, Any]]:
         """
-        分析单条新闻
+        分析单条新闻 (异步)
 
         Args:
             news_item: 新闻项
@@ -268,7 +268,7 @@ class NewsAnalyzer:
 
             for attempt in range(self.max_retries):
                 try:
-                    response = self.client.chat.completions.create(
+                    response = await self.client.chat.completions.create(
                         model="deepseek-chat",
                         messages=[
                             {"role": "system", "content": "你是一名专业的金融新闻分析师，擅长分析新闻标题对市场的影响。"},
@@ -294,9 +294,9 @@ class NewsAnalyzer:
             logger.error(f"分析新闻时出错: {e}")
             return None
 
-    def analyze_batch(self, news_items: List[NewsItem]) -> List[Optional[Dict[str, Any]]]:
+    async def analyze_batch(self, news_items: List[NewsItem]) -> List[Optional[Dict[str, Any]]]:
         """
-        批量分析新闻
+        批量分析新闻 (异步)
 
         Args:
             news_items: 新闻项列表
@@ -317,7 +317,7 @@ class NewsAnalyzer:
             try:
                 prompt = self._build_batch_analysis_prompt(batch)
 
-                response = self.client.chat.completions.create(
+                response = await self.client.chat.completions.create(
                     model="deepseek-chat",
                     messages=[
                         {"role": "system", "content": "你是一名专业的金融新闻分析师，擅长分析新闻标题对市场的影响。"},

backend/app/news_agent/news_agent.py

@@ -186,9 +186,9 @@ class NewsAgent:
         high_priority_articles = []
 
         if self.use_llm:
-            # 只使用批量分析
+            # 只使用批量分析 (异步)
             items_to_analyze = [item for _, item in saved_articles]
-            results = self.analyzer.analyze_batch(items_to_analyze)
+            results = await self.analyzer.analyze_batch(items_to_analyze)
 
             for (article, _), result in zip(saved_articles, results):
                 if result: