"""
AmazingData 数据服务平台 - 历史数据 API
"""

from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from typing import Optional, List
from backend.models.database import get_db
from backend.models.schemas import (
    BaseResponse, SingleKlineRequest, BatchStockRequest, 
    BatchFutureRequest, KlineDataResponse
)
from backend.services.data_service import data_service
from backend.auth.dependencies import get_current_user
from backend.models.tables import User

router = APIRouter()


@router.post("/single", response_model=BaseResponse)
async def get_single_kline(
    request: SingleKlineRequest,
    current_user: Optional[User] = Depends(get_current_user)
):
    """获取单只股票/期货K线数据"""
    result = data_service.get_single_kline(
        code=request.code,
        trading_day=request.trading_day,
        period=request.period.value,
        save_path=request.save_path
    )
    
    if "error" in result:
        return BaseResponse(code=500, message=result["error"], data=result)
    
    return BaseResponse(data=result)


@router.post("/batch-stocks", response_model=BaseResponse)
async def batch_get_stock_kline(
    request: BatchStockRequest,
    current_user: Optional[User] = Depends(get_current_user)
):
    """批量获取股票K线数据"""
    result = data_service.batch_get_stock_kline(
        codes=request.codes,
        trading_days=request.trading_days,
        save_path=request.save_path,
        batch_size=request.batch_size
    )
    
    if "error" in result:
        return BaseResponse(code=500, message=result["error"], data=result)
    
    return BaseResponse(data={"files": result, "count": len(result)})


@router.post("/batch-futures", response_model=BaseResponse)
async def batch_get_future_kline(
    request: BatchFutureRequest,
    current_user: Optional[User] = Depends(get_current_user)
):
    """批量获取期货K线数据"""
    result = data_service.batch_get_future_kline(
        underlying_codes=request.underlying_codes,
        use_main_contract=request.use_main_contract,
        trading_days=request.trading_days,
        save_path=request.save_path
    )
    
    if "error" in result:
        return BaseResponse(code=500, message=result["error"], data=result)
    
    return BaseResponse(data={"files": result, "count": len(result)})


@router.get("/stock-codes", response_model=BaseResponse)
async def get_stock_codes(current_user: Optional[User] = Depends(get_current_user)):
    """获取股票代码列表"""
    codes = data_service.get_stock_codes()
    return BaseResponse(data={"codes": codes, "count": len(codes)})


@router.get("/future-codes", response_model=BaseResponse)
async def get_future_codes(current_user: Optional[User] = Depends(get_current_user)):
    """获取期货代码列表"""
    codes = data_service.get_future_codes()
    return BaseResponse(data={"codes": codes, "count": len(codes)})


@router.get("/trading-days", response_model=BaseResponse)
async def get_trading_days(
    year: Optional[int] = None,
    month: Optional[int] = None,
    current_user: Optional[User] = Depends(get_current_user)
):
    """获取交易日列表（简化实现）"""
    from datetime import date, timedelta
    
    today = date.today()
    if year:
        target_date = date(year, month or 1, 1)
    else:
        target_date = today
    
    # 简单返回最近30天（实际应查询交易日历）
    trading_days = []
    for i in range(30):
        d = target_date - timedelta(days=i)
        if d.weekday() < 5:  # 排除周末
            trading_days.append(d.strftime('%Y%m%d'))
    
    return BaseResponse(data={"trading_days": trading_days})