feat: 新增告警、成本、配额、微信模块及缓存服务

- 新增告警模块 (alerts): 告警规则配置与触发
- 新增成本管理模块 (cost): 成本统计与分析
- 新增配额模块 (quota): 配额管理与限制
- 新增微信模块 (wechat): 微信相关功能接口
- 新增缓存服务 (cache): Redis 缓存封装
- 新增请求日志中间件 (request_logger)
- 新增异常处理和链路追踪中间件
- 更新 dashboard 前端展示
- 更新 SDK stats_client 功能

backend/app/routers/logs.py

@@ -1,6 +1,10 @@
 """日志路由"""
+import csv
+import io
 from typing import Optional
+from datetime import datetime
 from fastapi import APIRouter, Depends, Header, HTTPException, Query
+from fastapi.responses import StreamingResponse
 from sqlalchemy.orm import Session
 from sqlalchemy import desc
 
@@ -13,6 +17,14 @@ from ..services.auth import decode_token
 router = APIRouter(prefix="/logs", tags=["logs"])
 settings = get_settings()
 
+# 尝试导入openpyxl
+try:
+    from openpyxl import Workbook
+    from openpyxl.styles import Font, Alignment, PatternFill
+    OPENPYXL_AVAILABLE = True
+except ImportError:
+    OPENPYXL_AVAILABLE = False
+
 
 def get_current_user_optional(authorization: Optional[str] = Header(None)):
     """可选的用户认证"""
@@ -113,3 +125,154 @@ async def query_logs(
             for item in items
         ]
     }
+
+
+@router.get("/export")
+async def export_logs(
+    format: str = Query("csv", description="导出格式: csv 或 excel"),
+    log_type: Optional[str] = None,
+    level: Optional[str] = None,
+    app_code: Optional[str] = None,
+    tenant_id: Optional[str] = None,
+    start_date: Optional[str] = None,
+    end_date: Optional[str] = None,
+    limit: int = Query(10000, ge=1, le=100000, description="最大导出记录数"),
+    db: Session = Depends(get_db),
+    user = Depends(get_current_user_optional)
+):
+    """导出日志
+    
+    支持CSV和Excel格式，最多导出10万条记录
+    """
+    query = db.query(PlatformLog)
+    
+    if log_type:
+        query = query.filter(PlatformLog.log_type == log_type)
+    if level:
+        query = query.filter(PlatformLog.level == level)
+    if app_code:
+        query = query.filter(PlatformLog.app_code == app_code)
+    if tenant_id:
+        query = query.filter(PlatformLog.tenant_id == tenant_id)
+    if start_date:
+        query = query.filter(PlatformLog.log_time >= start_date)
+    if end_date:
+        query = query.filter(PlatformLog.log_time <= end_date + " 23:59:59")
+    
+    items = query.order_by(desc(PlatformLog.log_time)).limit(limit).all()
+    
+    if format.lower() == "excel":
+        return export_excel(items)
+    else:
+        return export_csv(items)
+
+
+def export_csv(logs: list) -> StreamingResponse:
+    """导出为CSV格式"""
+    output = io.StringIO()
+    writer = csv.writer(output)
+    
+    # 写入表头
+    headers = [
+        "ID", "类型", "级别", "应用", "租户", "Trace ID",
+        "消息", "路径", "方法", "状态码", "耗时(ms)",
+        "IP地址", "时间"
+    ]
+    writer.writerow(headers)
+    
+    # 写入数据
+    for log in logs:
+        writer.writerow([
+            log.id,
+            log.log_type,
+            log.level,
+            log.app_code or "",
+            log.tenant_id or "",
+            log.trace_id or "",
+            log.message or "",
+            log.path or "",
+            log.method or "",
+            log.status_code or "",
+            log.duration_ms or "",
+            log.ip_address or "",
+            str(log.log_time) if log.log_time else ""
+        ])
+    
+    output.seek(0)
+    
+    # 生成文件名
+    filename = f"logs_{datetime.now().strftime('%Y%m%d_%H%M%S')}.csv"
+    
+    return StreamingResponse(
+        iter([output.getvalue()]),
+        media_type="text/csv",
+        headers={
+            "Content-Disposition": f'attachment; filename="{filename}"',
+            "Content-Type": "text/csv; charset=utf-8-sig"
+        }
+    )
+
+
+def export_excel(logs: list) -> StreamingResponse:
+    """导出为Excel格式"""
+    if not OPENPYXL_AVAILABLE:
+        raise HTTPException(status_code=400, detail="Excel导出功能不可用，请安装openpyxl")
+    
+    wb = Workbook()
+    ws = wb.active
+    ws.title = "日志导出"
+    
+    # 表头样式
+    header_font = Font(bold=True, color="FFFFFF")
+    header_fill = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")
+    header_alignment = Alignment(horizontal="center", vertical="center")
+    
+    # 写入表头
+    headers = [
+        "ID", "类型", "级别", "应用", "租户", "Trace ID",
+        "消息", "路径", "方法", "状态码", "耗时(ms)",
+        "IP地址", "时间"
+    ]
+    
+    for col, header in enumerate(headers, 1):
+        cell = ws.cell(row=1, column=col, value=header)
+        cell.font = header_font
+        cell.fill = header_fill
+        cell.alignment = header_alignment
+    
+    # 写入数据
+    for row, log in enumerate(logs, 2):
+        ws.cell(row=row, column=1, value=log.id)
+        ws.cell(row=row, column=2, value=log.log_type)
+        ws.cell(row=row, column=3, value=log.level)
+        ws.cell(row=row, column=4, value=log.app_code or "")
+        ws.cell(row=row, column=5, value=log.tenant_id or "")
+        ws.cell(row=row, column=6, value=log.trace_id or "")
+        ws.cell(row=row, column=7, value=log.message or "")
+        ws.cell(row=row, column=8, value=log.path or "")
+        ws.cell(row=row, column=9, value=log.method or "")
+        ws.cell(row=row, column=10, value=log.status_code or "")
+        ws.cell(row=row, column=11, value=log.duration_ms or "")
+        ws.cell(row=row, column=12, value=log.ip_address or "")
+        ws.cell(row=row, column=13, value=str(log.log_time) if log.log_time else "")
+    
+    # 调整列宽
+    column_widths = [8, 10, 10, 12, 12, 36, 50, 30, 8, 10, 10, 15, 20]
+    for col, width in enumerate(column_widths, 1):
+        ws.column_dimensions[chr(64 + col)].width = width
+    
+    # 保存到内存
+    output = io.BytesIO()
+    wb.save(output)
+    output.seek(0)
+    
+    # 生成文件名
+    filename = f"logs_{datetime.now().strftime('%Y%m%d_%H%M%S')}.xlsx"
+    
+    return StreamingResponse(
+        iter([output.getvalue()]),
+        media_type="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
+        headers={
+            "Content-Disposition": f'attachment; filename="{filename}"'
+        }
+    )