feat: complete trading system with FastAPI backend, web frontend, and auto-analysis

backend/services/sentiment_service.py

@@ -0,0 +1,71 @@
+"""
+舆情数据服务
+"""
+
+from sqlalchemy.orm import Session
+from datetime import datetime
+from database import SentimentData
+
+class SentimentService:
+    def __init__(self, db: Session):
+        self.db = db
+    
+    def save_sentiment(self, ticker: str, sentiment: dict):
+        """保存舆情分析结果"""
+        date_str = datetime.now().strftime('%Y-%m-%d')
+        
+        # 检查是否已存在
+        existing = self.db.query(SentimentData).filter(
+            SentimentData.ticker == ticker,
+            SentimentData.date == date_str
+        ).first()
+        
+        if existing:
+            existing.score = sentiment.get('score', 0)
+            existing.label = sentiment.get('label', '中性')
+            existing.factors = sentiment.get('factors', [])
+            existing.outlook = sentiment.get('outlook', '')
+            existing.source = sentiment.get('source', 'llm')
+        else:
+            new_sentiment = SentimentData(
+                ticker=ticker,
+                date=date_str,
+                score=sentiment.get('score', 0),
+                label=sentiment.get('label', '中性'),
+                factors=sentiment.get('factors', []),
+                outlook=sentiment.get('outlook', ''),
+                source=sentiment.get('source', 'llm')
+            )
+            self.db.add(new_sentiment)
+        
+        self.db.commit()
+    
+    def get_sentiment(self, ticker: str, days: int = 30):
+        """获取最近N天的舆情数据"""
+        sentiments = self.db.query(SentimentData).filter(
+            SentimentData.ticker == ticker
+        ).order_by(SentimentData.date.desc()).limit(days).all()
+        
+        return [{
+            'date': s.date,
+            'score': s.score,
+            'label': s.label,
+            'factors': s.factors,
+            'outlook': s.outlook
+        } for s in sentiments]
+    
+    def get_latest_sentiment(self, ticker: str):
+        """获取最新舆情"""
+        sentiment = self.db.query(SentimentData).filter(
+            SentimentData.ticker == ticker
+        ).order_by(SentimentData.date.desc()).first()
+        
+        if sentiment:
+            return {
+                'date': sentiment.date,
+                'score': sentiment.score,
+                'label': sentiment.label,
+                'factors': sentiment.factors,
+                'outlook': sentiment.outlook
+            }
+        return None