"""ETF 专用历史日线适配，不依赖或修改 QMT SDK。"""

from datetime import date, datetime
import math
import re

import httpx


DAILY_URL = 'http://go.apinb.com/a/get_daily'


def daily_bars(client: httpx.Client, code: str, today: date, count: int = 120) -> list[dict]:
    """读取指定证券日线；只使用 code 参数，截取历史窗口在本地完成。"""
    response = client.get(DAILY_URL, params={'code': code})
    response.raise_for_status()
    return parse_daily(response.json(), code, today, count)


def parse_daily(payload: dict, code: str, today: date, count: int = 120) -> list[dict]:
    """校验业务状态、证券归属和 OHLC，将 trade_date 转为指标需要的 date。"""
    if type(count) is not int or count <= 0:
        raise ValueError('日线数量必须为正整数')
    if not isinstance(payload, dict) or type(payload.get('code')) is not int or payload['code'] != 0:
        raise ValueError(f'日线接口业务失败：{payload.get("message", "状态无效") if isinstance(payload, dict) else "响应非对象"}')
    details = payload.get('details')
    if not isinstance(details, list) or not details:
        raise ValueError(f'{code} 日线接口未返回有效 details 列表')
    bars = {}
    for row in details:
        if not isinstance(row, dict) or row.get('ts_code') != code:
            raise ValueError(f'{code} 日线证券代码不一致')
        stamp = str(row.get('trade_date', ''))
        if not re.fullmatch(r'[0-9]{8}', stamp):
            raise ValueError(f'{code} 日线日期无效：{stamp}')
        day = datetime.strptime(stamp, '%Y%m%d').date()
        # 当前日及未来日线均不可用于盘中指标，先过滤再截取最近 count 根。
        if day >= today:
            continue
        if stamp in bars:
            raise ValueError(f'{code} 日线日期重复：{stamp}')
        values = {}
        for key in ('open', 'high', 'low', 'close'):
            value = row.get(key)
            if isinstance(value, bool) or not isinstance(value, (int, float, str)):
                raise ValueError(f'{code} 日线 {key} 无效')
            value = float(value)
            if not math.isfinite(value) or value <= 0:
                raise ValueError(f'{code} 日线 {key} 非有限正数')
            values[key] = value
        if not (values['low'] <= values['open'] <= values['high']
                and values['low'] <= values['close'] <= values['high']):
            raise ValueError(f'{code} 日线 OHLC 关系异常')
        bars[stamp] = dict(date=stamp, **values)
    return [bars[stamp] for stamp in sorted(bars)[-count:]]