feat: 同一交易日内可随时重新生成报告

backend/routes/ai_analysis.py

@@ -35,21 +35,8 @@ def _has_ai_report(trade_date: str) -> bool:
 
 
 def _can_trigger(trade_date: str) -> tuple[bool, str]:
-    """检查是否可以触发分析（12小时频率限制）"""
-    conn = get_connection()
-    try:
-        row = conn.execute(
-            "SELECT created_at FROM ai_reports WHERE trade_date = ? ORDER BY id DESC LIMIT 1",
-            (trade_date,)
-        ).fetchone()
-        if row:
-            last_time = datetime.strptime(row["created_at"], "%Y-%m-%d %H:%M:%S")
-            now = datetime.now(_CST)
-            if (now - last_time).total_seconds() < 12 * 3600:
-                return False, "12小时内已触发过，请稍后再试"
-        return True, ""
-    finally:
-        conn.close()
+    """检查是否可以触发分析（同一交易日内可随时重新生成）"""
+    return True, ""
 
 
 @router.get("/ai-analysis/latest", summary="最新 AI 分析报告")
@@ -111,13 +98,6 @@ async def trigger_analysis():
     now = datetime.now(_CST)
     trade_date = now.strftime("%Y-%m-%d")
 
-    if _has_ai_report(trade_date):
-        raise HTTPException(status_code=400, detail="今日已有分析报告")
-
-    can, msg = _can_trigger(trade_date)
-    if not can:
-        raise HTTPException(status_code=429, detail=msg)
-
     from services.ai_service import collect_ai_analysis
     result = await collect_ai_analysis(trade_date)
     return JSONResponse({"data": result})
@@ -134,10 +114,6 @@ async def regenerate_report(report_id: int):
     finally:
         conn.close()
 
-    can, msg = _can_trigger(trade_date)
-    if not can:
-        raise HTTPException(status_code=429, detail=msg)
-
     from services.ai_service import collect_ai_analysis
     result = await collect_ai_analysis(trade_date)
     return JSONResponse({"data": result})