"""
平台统计和日志路由

提供调用统计和费用明细的API端点
需求: 11.1, 12.1
"""
from datetime import date
from typing import Optional
from fastapi import APIRouter, Depends, Query
from sqlalchemy.orm import Session

from app.database import get_db
from app.dependencies.auth import get_current_user
from app.models.user import User
from app.services.api_call_log_service import ApiCallLogService
from app.schemas.platform_stats import StatsResponse, CallLogResponse
from app.schemas.model_schema import ApiResponse, PaginatedResponse

router = APIRouter(prefix="/api/platform", tags=["平台统计"])


@router.get("/stats", response_model=ApiResponse[StatsResponse])
def get_stats(
    trend_days: int = Query(default=7, ge=1, le=30, description="趋势数据天数"),
    key_type: Optional[str] = Query(None, description="密钥类型: public 或 local"),
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db)
):
    """
    获取调用统计
    
    需求 11.1: 显示今日调用次数、本月调用次数、总调用次数
    需求 11.2: 显示今日消费金额、本月消费金额
    需求 11.3: 显示调用趋势图
    需求 11.4: 显示各模型调用占比饼图
    """
    service = ApiCallLogService(db)
    stats = service.get_user_stats(current_user.id, trend_days, key_type)
    return ApiResponse(code=200, message="success", data=stats)


@router.get("/call-logs", response_model=ApiResponse[PaginatedResponse[CallLogResponse]])
def get_call_logs(
    start_date: Optional[date] = Query(None, description="开始日期"),
    end_date: Optional[date] = Query(None, description="结束日期"),
    model_id: Optional[int] = Query(None, description="模型ID"),
    api_key_id: Optional[int] = Query(None, description="API Key ID"),
    key_type: Optional[str] = Query(None, description="密钥类型: public 或 local"),
    page: int = Query(default=1, ge=1, description="页码"),
    page_size: int = Query(default=20, ge=1, le=100, description="每页数量"),
    current_user: User = Depends(get_current_user),
    db: Session = Depends(get_db)
):
    """
    获取调用日志
    
    需求 12.1: 支持按时间范围、模型、API Key进行筛选
    需求 12.2: 显示调用时间、模型名称、Token用量、费用金额、使用的API Key
    需求 12.4: 支持分页查询
    """
    service = ApiCallLogService(db)
    logs, total = service.get_call_logs(
        user_id=current_user.id,
        start_date=start_date,
        end_date=end_date,
        model_id=model_id,
        api_key_id=api_key_id,
        key_type=key_type,
        page=page,
        page_size=page_size
    )
    
    return ApiResponse(
        code=200,
        message="success",
        data=PaginatedResponse(
            items=logs,
            total=total,
            page=page,
            page_size=page_size,
            total_pages=(total + page_size - 1) // page_size
        )
    )