Initial commit - DesignerCEP Project with Caddy deployment

Server/app/api/v1/analytics.py

@@ -0,0 +1,83 @@
+"""
+用户行为分析 API
+记录和分析用户操作
+"""
+
+from fastapi import APIRouter, HTTPException
+from pydantic import BaseModel
+from typing import Optional, Any
+from datetime import datetime
+
+router = APIRouter()
+
+# 简单的内存存储（生产环境应该用数据库）
+action_logs = []
+
+class ActionLog(BaseModel):
+    username: str
+    device_id: str
+    action: str
+    details: Optional[Any] = None
+    timestamp: int
+    session_id: str
+
+class ActionLogResponse(BaseModel):
+    success: bool
+    message: str
+
+@router.post("/log", response_model=ActionLogResponse)
+async def log_action(log: ActionLog):
+    """
+    记录用户行为
+    """
+    try:
+        # 添加服务器时间
+        log_entry = {
+            **log.dict(),
+            "server_time": datetime.now().isoformat(),
+            "ip": "unknown"  # 可以从请求中获取
+        }
+        
+        action_logs.append(log_entry)
+        
+        # 只保留最近 10000 条
+        if len(action_logs) > 10000:
+            action_logs.pop(0)
+        
+        # 可以在这里添加异常检测逻辑
+        # 例如：检测同一用户短时间内的大量操作
+        
+        return ActionLogResponse(success=True, message="已记录")
+    except Exception as e:
+        return ActionLogResponse(success=False, message=str(e))
+
+@router.get("/stats/{username}")
+async def get_user_stats(username: str):
+    """
+    获取用户统计信息
+    """
+    user_logs = [log for log in action_logs if log.get("username") == username]
+    
+    # 统计各操作类型的次数
+    action_counts = {}
+    for log in user_logs:
+        action = log.get("action", "unknown")
+        action_counts[action] = action_counts.get(action, 0) + 1
+    
+    return {
+        "username": username,
+        "total_actions": len(user_logs),
+        "action_counts": action_counts,
+        "recent_actions": user_logs[-10:]  # 最近 10 条
+    }
+
+@router.get("/recent")
+async def get_recent_logs(limit: int = 100):
+    """
+    获取最近的操作日志（管理员用）
+    """
+    return {
+        "total": len(action_logs),
+        "logs": action_logs[-limit:]
+    }
+