feat(light): 添加Redis缓存支持和SSE实时数据推送功能

- 在requirements.txt中添加redis依赖并更新requests版本
- 在.env.example中添加Redis相关配置
- 重构light服务层，使用Redis替代内存缓存，增加线程安全机制
- 新增SSE接口，每15秒推送一次用户灯牌数据更新
- 优化日志配置和错误处理机制

.env.example

@@ -9,3 +9,12 @@ API_PORT=8000
 SECRET_KEY=your-secret-key-here
 ALGORITHM=HS256
 ACCESS_TOKEN_EXPIRE_MINUTES=30
+
+# Redis configuration
+REDIS_HOST=localhost
+REDIS_PORT=6379
+REDIS_DB=0
+REDIS_PASSWORD=
+
+# Redis cache configuration
+REDIS_CACHE_DURATION_MINUTES=10

requirements.txt

@@ -4,9 +4,10 @@ sqlalchemy==2.0.23
 python-dotenv==1.0.0
 pydantic==2.5.0
 pydantic-settings==2.1.0
-requests==2.31.0
+requests==2.3.1.0
 PyJWT==2.8.0
 starlette==0.27.0
 anyio==3.7.1
 pymongo==4.15.5
 motor==3.7.1
+redis==7.1.0

src/routers/light.py

@@ -1,6 +1,10 @@
-from fastapi import APIRouter, HTTPException, Query
+import asyncio
-from typing import List, Optional
+import json
-from src.services.light import fetch_all_lightpanel_scripts, get_lightpanel_script_by_code, get_answers_by_user_id
+from fastapi import APIRouter, HTTPException, Query, Request
+from fastapi.responses import StreamingResponse
+from fastapi.encoders import jsonable_encoder
+from typing import List, Optional, Dict, Any
+from src.services.light import fetch_all_lightpanel_scripts, get_lightpanel_script_by_code, get_answers_by_user_id, get_user_scripts_with_answers as service_get_user_scripts_with_answers
 from src.models.response import success_response, error_response, ResponseModel
 from typing import Dict, Any
 
@@ -24,22 +28,22 @@ async def get_all_lightpanel_scripts():
 @light_router.get("/script/{code}", response_model=ResponseModel[Dict[str, Any]])
 async def get_lightpanel_script(code: str):
     """
-    根据code获取特定的LightPanel脚本
+    根据code获取特定的LightPanel灯牌
     
     Args:
         code (str): 信息类型
         
     Returns:
-        ResponseModel: 包含特定脚本数据的统一响应格式
+        ResponseModel: 包含特定灯牌数据的统一响应格式
     """
     try:
         script = get_lightpanel_script_by_code(code)
         if script:
-            return success_response(data=script, message=f"成功获取code为{code}的LightPanel脚本")
+            return success_response(data=script, message=f"成功获取code为{code}的LightPanel灯牌")
         else:
-            return error_response(message=f"未找到code为{code}的LightPanel脚本", code=404)
+            return error_response(message=f"未找到code为{code}的LightPanel灯牌", code=404)
     except Exception as e:
-        return error_response(message=f"获取LightPanel脚本失败: {str(e)}", code=500)
+        return error_response(message=f"获取LightPanel灯牌失败: {str(e)}", code=500)
 
 @light_router.get("/answers/{user_id}", response_model=ResponseModel[Dict[str, Any]])
 async def get_answers_by_user(user_id: str):
@@ -66,7 +70,7 @@ async def get_answers_by_user(user_id: str):
 @light_router.get("/user-scripts/{user_id}", response_model=ResponseModel[List[Dict[str, Any]]])
 async def get_user_scripts_with_answers(user_id: str):
     """
-    获取所有LightPanel脚本数据，并根据用户的回答数据填充每个指标的值
+    获取所有LightPanel灯牌数据，并根据用户的回答数据填充每个指标的值
     
     Args:
         user_id (str): 用户的customer_wechat_id
@@ -75,39 +79,48 @@ async def get_user_scripts_with_answers(user_id: str):
         ResponseModel: 包含所有脚本数据及用户回答的统一响应格式
     """
     try:
-        # 获取所有脚本数据
+        # 使用服务层的公共方法获取用户脚本和答案数据
-        scripts = fetch_all_lightpanel_scripts()
+        result = service_get_user_scripts_with_answers(user_id)
-        
+        return success_response(data=result, message=f"成功获取用户{user_id}的灯牌数据")
-        # 获取用户回答数据
-        user_answers = get_answers_by_user_id(user_id)
-        
-        # 如果没有用户回答数据，初始化为空字典
-        if user_answers is None:
-            user_answers = {}
-        
-        # 构建结果数据
-        result = []
-        for script in scripts:
-            # 复制脚本数据，但排除_id字段
-            script_data = {key: value for key, value in script.items() if key != "_id"}
-            
-            # 获取该脚本的code
-            code = script_data.get("code")
-            
-            # 如果用户有该脚本的回答数据，则填充；否则设置为空字符串
-            if code in user_answers and user_answers[code]:
-                answer_data = user_answers[code]
-                script_data["value"] = answer_data.get("value", "")
-                script_data["collected_at"] = answer_data.get("collected_at", "")
-                script_data["source"] = answer_data.get("source", "")
-            else:
-                # 如果没有对应的回答数据，设置为空字符串
-                script_data["value"] = ""
-                script_data["collected_at"] = ""
-                script_data["source"] = ""
-            
-            result.append(script_data)
-        
-        return success_response(data=result, message=f"成功获取用户{user_id}的脚本数据")
     except Exception as e:
-        return error_response(message=f"获取用户脚本数据失败: {str(e)}", code=500)
+        return error_response(message=f"获取用户灯牌数据失败: {str(e)}", code=500)
+
+
+@light_router.get("/user-scripts/stream/{user_id}")
+async def stream_user_scripts(user_id: str, request: Request):
+    """
+    SSE接口：每15秒推送一次最新的用户脚本数据。
+    数据结构与 /user-scripts/{user_id} 完全一致。
+    """
+    async def event_generator():
+        while True:
+            # 1. 检查客户端是否断开连接，如果断开则停止循环
+            if await request.is_disconnected():
+                print(f"用户 {user_id} 已断开连接，停止数据推送")
+                break
+
+            try:
+                # 2. 调用公共逻辑获取最新数据
+                result_data = service_get_user_scripts_with_answers(user_id)
+                
+                # 3. 封装成统一的响应格式 (ResponseModel)
+                # 注意：SSE传输的是字符串，所以我们需要手动构建响应对象并转为JSON
+                response_obj = success_response(data=result_data, message=f"实时更新: 用户{user_id}的脚本数据")
+                
+                # 4. 序列化为JSON字符串
+                # jsonable_encoder 可以处理 Pydantic 模型、datetime 等特殊类型
+                json_data = json.dumps(jsonable_encoder(response_obj), ensure_ascii=False)
+                
+                # 5. 发送 SSE 数据格式 (格式必须是 "data: <内容>\n\n")
+                yield f"data: {json_data}\n\n"
+
+            except Exception as e:
+                # 发生错误时，也可以推送错误信息给前端，或者选择跳过本次推送
+                error_obj = error_response(message=f"获取数据流失败: {str(e)}", code=500)
+                json_error = json.dumps(jsonable_encoder(error_obj), ensure_ascii=False)
+                yield f"data: {json_error}\n\n"
+
+            # 6. 等待 15 秒
+            await asyncio.sleep(15)
+
+    return StreamingResponse(event_generator(), media_type="text/event-stream")

src/services/light.py

@@ -1,5 +1,8 @@
 import os
 import logging
+import json
+import redis
+import threading
 from typing import List, Dict, Any, Optional
 from datetime import datetime, timedelta
 from dotenv import load_dotenv
@@ -10,11 +13,47 @@ load_dotenv()
 
 # 配置日志
 logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
 
-# 全局变量用于缓存数据和过期时间
+if not logger.handlers:
-_cached_lightpanel_scripts: Optional[List[Dict[str, Any]]] = None
+    handler = logging.StreamHandler()
-_cache_expiration_time: Optional[datetime] = None
+    formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
-_CACHE_DURATION_MINUTES = 10  # 缓存10分钟
+    handler.setFormatter(formatter)
+    logger.addHandler(handler)
+    logger.propagate = False  # 防止重复记录
+
+# Redis配置
+REDIS_HOST = os.getenv("REDIS_HOST", "localhost")
+REDIS_PORT = int(os.getenv("REDIS_PORT", 6379))
+REDIS_DB = int(os.getenv("REDIS_DB", 0))
+REDIS_PASSWORD = os.getenv("REDIS_PASSWORD", None)
+
+# Redis缓存配置
+_CACHE_DURATION_MINUTES = int(os.getenv("REDIS_CACHE_DURATION_MINUTES", 720))  # 默认缓存10分钟
+
+# 创建Redis连接
+try:
+    redis_client = redis.Redis(
+        host=REDIS_HOST,
+        port=REDIS_PORT,
+        db=REDIS_DB,
+        password=REDIS_PASSWORD,
+        decode_responses=True,
+        socket_connect_timeout=5,
+        socket_timeout=5,
+        retry_on_timeout=True
+    )
+    # 测试连接
+    redis_client.ping()
+    logger.info("成功连接到Redis服务器")
+except Exception as e:
+    logger.error(f"无法连接到Redis服务器: {str(e)}")
+    redis_client = None
+
+# 缓存配置
+CACHE_KEY = "lightpanel_scripts"
+_CACHE_LOCK = threading.Lock()  # 用于防止缓存击穿的锁
+_REFRESHING = False  # 标记是否正在刷新缓存
 
 def get_lightpanel_scripts_collection():
     """
@@ -30,32 +69,102 @@ def get_lightpanel_scripts_collection():
 
 def is_cache_valid() -> bool:
     """
-    检查缓存是否有效
+    检查Redis缓存是否有效
     
     Returns:
         bool: 缓存有效返回True，否则返回False
     """
-    global _cached_lightpanel_scripts, _cache_expiration_time
+    global redis_client, CACHE_KEY
     
-    if _cached_lightpanel_scripts is None or _cache_expiration_time is None:
+    if redis_client is None:
         return False
     
-    return datetime.now() < _cache_expiration_time
+    try:
+        # 检查缓存键是否存在
+        return redis_client.exists(CACHE_KEY) > 0
+    except Exception as e:
+        logger.error(f"检查Redis缓存有效性时出错: {str(e)}")
+        return False
 
 def fetch_all_lightpanel_scripts() -> List[Dict[str, Any]]:
     """
-    从MongoDB获取所有lightpanel_scripts数据，带缓存机制
+    从MongoDB获取所有lightpanel_scripts数据，带Redis缓存机制
     
     Returns:
         List[Dict[str, Any]]: lightpanel_scripts集合中的所有数据
     """
-    global _cached_lightpanel_scripts, _cache_expiration_time
+    global redis_client, CACHE_KEY, _CACHE_DURATION_MINUTES, _CACHE_LOCK, _REFRESHING
+    
+    # 如果Redis不可用，直接从数据库获取
+    if redis_client is None:
+        return _fetch_from_database()
     
     # 检查缓存是否有效
     if is_cache_valid():
-        logger.info("从缓存中获取lightpanel_scripts数据")
+        try:
-        return _cached_lightpanel_scripts
+            # 从Redis缓存中获取数据
+            cached_data = redis_client.get(CACHE_KEY)
+            if cached_data:
+                logger.info("从Redis缓存中获取lightpanel_scripts数据")
+                return json.loads(cached_data)
+        except Exception as e:
+            logger.error(f"从Redis缓存中获取数据时出错: {str(e)}")
     
+    # 使用锁防止缓存击穿
+    with _CACHE_LOCK:
+        # 双重检查缓存，可能在等待锁期间已经被其他线程更新
+        if is_cache_valid():
+            try:
+                cached_data = redis_client.get(CACHE_KEY)
+                if cached_data:
+                    logger.info("从Redis缓存中获取lightpanel_scripts数据（双重检查）")
+                    return json.loads(cached_data)
+            except Exception as e:
+                logger.error(f"从Redis缓存中获取数据时出错: {str(e)}")
+        
+        # 防止多个线程同时刷新缓存
+        if _REFRESHING:
+            # 如果正在刷新，短暂等待后再次尝试从缓存获取
+            import time
+            time.sleep(0.1)
+            if is_cache_valid():
+                try:
+                    cached_data = redis_client.get(CACHE_KEY)
+                    if cached_data:
+                        logger.info("从Redis缓存中获取lightpanel_scripts数据（等待后）")
+                        return json.loads(cached_data)
+                except Exception as e:
+                    logger.error(f"从Redis缓存中获取数据时出错: {str(e)}")
+        
+        # 设置刷新标记
+        _REFRESHING = True
+        try:
+            # 从数据库获取数据
+            scripts = _fetch_from_database()
+            
+            # 更新Redis缓存，设置过期时间
+            try:
+                redis_client.setex(
+                    CACHE_KEY,
+                    timedelta(minutes=_CACHE_DURATION_MINUTES),
+                    json.dumps(scripts, default=str)
+                )
+                logger.info(f"更新Redis缓存成功，共{len(scripts)}条数据")
+            except Exception as e:
+                logger.error(f"更新Redis缓存时出错: {str(e)}")
+            
+            return scripts
+        finally:
+            # 清除刷新标记
+            _REFRESHING = False
+
+def _fetch_from_database() -> List[Dict[str, Any]]:
+    """
+    从MongoDB获取所有lightpanel_scripts数据（私有函数）
+    
+    Returns:
+        List[Dict[str, Any]]: lightpanel_scripts集合中的所有数据
+    """
     try:
         # 获取集合
         collection = get_lightpanel_scripts_collection()
@@ -68,46 +177,38 @@ def fetch_all_lightpanel_scripts() -> List[Dict[str, Any]]:
             doc["_id"] = str(doc["_id"])
             scripts.append(doc)
         
-        # 更新缓存
+        logger.info(f"从数据库获取到{len(scripts)}条lightpanel_scripts数据")
-        _cached_lightpanel_scripts = scripts
-        _cache_expiration_time = datetime.now() + timedelta(minutes=_CACHE_DURATION_MINUTES)
-        
-        logger.info(f"从数据库获取到{len(scripts)}条lightpanel_scripts数据，并更新缓存")
         return scripts
     
     except Exception as e:
-        logger.error(f"获取lightpanel_scripts数据时出错: {str(e)}")
+        logger.error(f"从数据库获取lightpanel_scripts数据时出错: {str(e)}")
-        # 如果获取数据失败但有缓存，返回缓存数据
+        raise e
-        if _cached_lightpanel_scripts is not None:
+
-            logger.warning("返回旧的缓存数据")
-            return _cached_lightpanel_scripts
-        else:
-            # 没有缓存数据，抛出异常
-            raise e
 
 def refresh_lightpanel_scripts_cache() -> None:
     """
     手动刷新lightpanel_scripts缓存
     """
-    global _cached_lightpanel_scripts, _cache_expiration_time
+    global redis_client, CACHE_KEY, _CACHE_DURATION_MINUTES
     
     try:
-        # 获取集合
+        # 从数据库获取数据
-        collection = get_lightpanel_scripts_collection()
+        scripts = _fetch_from_database()
         
-        # 从数据库获取所有数据
+        # 如果Redis可用，更新缓存
-        cursor = collection.find({})
+        if redis_client is not None:
-        scripts = []
+            try:
-        for doc in cursor:
+                redis_client.setex(
-            # 转换ObjectId为字符串
+                    CACHE_KEY,
-            doc["_id"] = str(doc["_id"])
+                    timedelta(minutes=_CACHE_DURATION_MINUTES),
-            scripts.append(doc)
+                    json.dumps(scripts, default=str)
-        
+                )
-        # 更新缓存
+                logger.info(f"手动刷新Redis缓存成功，共{len(scripts)}条数据")
-        _cached_lightpanel_scripts = scripts
+            except Exception as e:
-        _cache_expiration_time = datetime.now() + timedelta(minutes=_CACHE_DURATION_MINUTES)
+                logger.error(f"手动刷新Redis缓存时出错: {str(e)}")
-        
+                raise e
-        logger.info(f"手动刷新缓存成功，共{len(scripts)}条数据")
+        else:
+            logger.warning("Redis不可用，仅从数据库获取数据")
     
     except Exception as e:
         logger.error(f"手动刷新lightpanel_scripts缓存时出错: {str(e)}")
@@ -164,3 +265,49 @@ def get_answers_by_user_id(user_id: str) -> Optional[Dict[str, Any]]:
     except Exception as e:
         logger.error(f"根据user_id({user_id})查询answers数据时出错: {str(e)}")
         raise e
+
+
+def get_user_scripts_with_answers(user_id: str) -> List[Dict[str, Any]]:
+    """
+    获取所有LightPanel灯牌数据，并根据用户的回答数据填充每个指标的值
+    
+    Args:
+        user_id (str): 用户的customer_wechat_id
+        
+    Returns:
+        List[Dict[str, Any]]: 包含所有脚本数据及用户回答的列表
+    """
+    # 获取所有灯牌数据
+    scripts = fetch_all_lightpanel_scripts()
+    
+    # 获取用户回答数据
+    user_answers = get_answers_by_user_id(user_id)
+    
+    # 如果没有用户回答数据，初始化为空字典
+    if user_answers is None:
+        user_answers = {}
+    
+    # 构建结果数据
+    result = []
+    for script in scripts:
+        # 复制脚本数据，但排除_id字段
+        script_data = {key: value for key, value in script.items() if key != "_id"}
+        
+        # 获取该灯牌的code
+        code = script_data.get("code")
+        
+        # 如果用户有该灯牌的回答数据，则填充；否则设置为空字符串
+        if code in user_answers and user_answers[code]:
+            answer_data = user_answers[code]
+            script_data["value"] = answer_data.get("value", "")
+            script_data["collected_at"] = answer_data.get("collected_at", "")
+            script_data["source"] = answer_data.get("source", "")
+        else:
+            # 如果没有对应的回答数据，设置为空字符串
+            script_data["value"] = ""
+            script_data["collected_at"] = ""
+            script_data["source"] = ""
+        
+        result.append(script_data)
+    
+    return result