缓存优化

backend/app/api/endpoints/events.py

@@ -1,6 +1,7 @@
 # app/api/endpoints/events.py
+import time
 from datetime import timedelta
-from typing import List
+from typing import Dict, List, Tuple
 
 from fastapi import APIRouter, Depends, HTTPException, Query
 from sqlalchemy.orm import Session
@@ -26,6 +27,10 @@ router = APIRouter()
 # 排名轨迹最多返回多少个点，避免长时间跨度下数据过大
 MAX_RANKING_POINTS = 30
 
+# --- 轻量级接口缓存配置 ---
+_UNIFIED_EVENTS_CACHE: Dict[str, Tuple[float, PaginatedUnifiedEventResponse]] = {}
+CACHE_TTL_SECONDS = 60
+# ---------------------------
 
 @router.get("/unified", response_model=PaginatedUnifiedEventResponse)
 def list_unified_events(
@@ -37,6 +42,17 @@ def list_unified_events(
     db: Session = Depends(get_db),
 ):
     """分页返回统一事件，附带各平台热搜、排名轨迹和标签。"""
+    
+    # --- 1. 尝试从缓存读取 ---
+    cache_key = f"{min_hot}:{hours}:{sort_by}:{skip}:{limit}"
+    current_time = time.time()
+    
+    if cache_key in _UNIFIED_EVENTS_CACHE:
+        expire_time, cached_data = _UNIFIED_EVENTS_CACHE[cache_key]
+        if current_time < expire_time:
+            return cached_data
+    # -----------------------
+
     time_limit = utcnow() - timedelta(hours=hours)
 
     # 先查总数，用于前端判断是否还有更多
@@ -149,7 +165,17 @@ def list_unified_events(
         )
 
     has_more = (skip + limit) < total
-    return PaginatedUnifiedEventResponse(total=total, has_more=has_more, data=results)
+    response = PaginatedUnifiedEventResponse(total=total, has_more=has_more, data=results)
+
+    # --- 2. 写入缓存 ---
+    if len(_UNIFIED_EVENTS_CACHE) > 1000:
+        # 防止内存无限增长
+        _UNIFIED_EVENTS_CACHE.clear()
+        
+    _UNIFIED_EVENTS_CACHE[cache_key] = (current_time + CACHE_TTL_SECONDS, response)
+    # ------------------
+
+    return response
 
 
 @router.get("/unified/{event_id}", response_model=UnifiedEventResponse)