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