backend 去ai化

backend/app/api/endpoints/preferences.py

@@ -1,6 +1,3 @@
-"""
-用户偏好模块：兴趣关键词的增删查、基于关键词的个性化事件推荐
-"""
 import time
 from typing import Any, Dict, List, Tuple
 
@@ -20,7 +17,6 @@ from app.services.matching_service import recommend_events_for_user
 
 router = APIRouter()
 
-# --- 轻量级接口缓存配置 ---
 _RECOMMEND_CACHE: Dict[str, Tuple[float, Any]] = {}
 CACHE_TTL_SECONDS = 60
 
@@ -29,7 +25,6 @@ def _invalidate_user_cache(user_id: int):
     keys_to_delete = [k for k in _RECOMMEND_CACHE.keys() if k.startswith(f"{user_id}:")]
     for k in keys_to_delete:
         _RECOMMEND_CACHE.pop(k, None)
-# ---------------------------
 
 def _ensure_self_access(path_user_id: int, current_user: AppUser) -> None:
     """校验路径 user_id 是否为当前登录用户本人。"""
@@ -93,7 +88,7 @@ def create_user_preference(
         )
 
     db.refresh(db_obj)
-    _invalidate_user_cache(user_id)  # 失效推荐缓存
+    _invalidate_user_cache(user_id)
     return db_obj
 
 
@@ -122,7 +117,7 @@ def delete_user_preference(
 
     db.delete(preference)
     db.commit()
-    _invalidate_user_cache(user_id)  # 失效推荐缓存
+    _invalidate_user_cache(user_id)
     return None
 
 
@@ -143,7 +138,6 @@ def recommend_events(
     """基于用户兴趣词推荐事件（精确匹配 + 语义匹配）。"""
     _ensure_self_access(user_id, current_user)
 
-    # 推荐结果缓存，避免频繁调用匹配服务
     cache_key = f"{user_id}:{min_hot}:{hours}:{limit}:{semantic_threshold}:{sort_by}"
     current_time = time.time()
     
@@ -151,7 +145,6 @@ def recommend_events(
         expire_time, cached_data = _RECOMMEND_CACHE[cache_key]
         if current_time < expire_time:
             return cached_data
-    # -----------------------
 
     matched = recommend_events_for_user(
         db,
@@ -189,10 +182,8 @@ def recommend_events(
 
     # 写入缓存，超过 2000 条时清空防止内存膨胀
     if len(_RECOMMEND_CACHE) > 2000:
-        # 防止内存无限增长
         _RECOMMEND_CACHE.clear()
         
     _RECOMMEND_CACHE[cache_key] = (current_time + CACHE_TTL_SECONDS, response)
-    # ------------------
 
     return response