# 设置收盘价
import decimal

from code_attribute import gpcode_manager
from log_module.log import logger_debug
from third_data.history_k_data_util import HistoryKDatasUtils
from utils import tool


def re_set_price_pre(code, force=False):
    codes = [code]
    re_set_price_pres(codes, force=force)


def re_set_price_pres(codes, force=False):
    # 通过历史数据缓存获取
    result = HistoryKDatasUtils.get_gp_latest_info(codes)
    for item in result:
        symbol = item['symbol']
        symbol = symbol.split(".")[1]
        pre_close = tool.to_price(decimal.Decimal(str(item['pre_close'])))
        gpcode_manager.CodePrePriceManager().set_price_pre(symbol, pre_close, force)


# 获取近90天的最大量与最近的量
# 获取最近一次涨停/涨停下一个交易日的最大值
def get_volumns_by_code(code, count=60):
    datas = HistoryKDatasUtils.get_history_tick_n(code, count, "open,high,low,close,volume,pre_close,bob,amount")
    if not datas:
        return None
    # 计算
    datas.sort(key=lambda x: x["bob"], reverse=True)
    return datas


def parse_max_volume(code, datas, is_new_or_near_top=False):
    result = __parse_max_volume(code, datas, is_new_or_near_top)
    refer_index = result[3]
    # 计算最低价
    refer_price = datas[refer_index]["high"]
    min_price = float(refer_price)
    for i in range(0, refer_index + 1):
        if min_price > datas[i]["low"]:
            min_price = datas[i]["low"]
    if (refer_price - min_price) / refer_price < 0.4:
        return result
    # 超跌
    new_datas = []
    for i in range(0, refer_index):
        # 获取涨幅
        item = datas[i]
        rate = (item["low"] - item["pre_close"]) / item["pre_close"]
        new_datas.append((i, rate))
    new_datas.sort(key=lambda x: x[1])
    refer_index = new_datas[0][0]
    # 获取当前天和后一天较大量
    if refer_index > 0:
        if datas[refer_index - 1]["volume"] > datas[refer_index]["volume"]:
            refer_index -= 1

    return datas[refer_index]["volume"], datas[refer_index]["volume"], datas[refer_index]['bob'].strftime(
        "%Y-%m-%d"), refer_index


def parse_max_volume_new(code, datas):
    """
    计算远高量
    @param code:
    @param datas:
    @return: [高量,高量,高量日期,高量索引]
    """

    def __is_limited_up(item):
        limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
        if abs(limit_up_price - item["high"]) < 0.001:
            return True
        return False

    # 取最近60个交易日
    datas = datas[:60]

    # 判断是否涨停过
    target_index = None
    for i in range(len(datas)):
        data = datas[i]
        if __is_limited_up(data):
            next_data = None
            if i > 0:
                next_data = datas[i - 1]
            # max（涨停这一天, 后一天）的量
            if next_data and next_data['volume'] > data['volume']:
                target_index = i - 1
            else:
                target_index = i
            break
    if target_index is None:
        # 60天未涨停,获取60天内的最高量
        for i in range(len(datas)):
            data = datas[i]
            if target_index is None:
                target_index = i
            if data['volume'] > datas[target_index]['volume']:
                target_index = i
    return datas[target_index]['volume'], datas[target_index]['volume'], datas[target_index]['bob'].strftime(
        "%Y-%m-%d"), target_index


def parse_max_volume_in_days(datas, max_day):
    """
    解析最近几天最大的量
    @param datas:
    @param max_day:
    @return:
    """
    # 解析最近几天的最大量
    datas = datas[:max_day]
    max_volume_info = None
    for d in datas:
        if max_volume_info is None:
            max_volume_info = (d["volume"], d)
        if d["volume"] > max_volume_info[0]:
            max_volume_info = (d["volume"], d)
    if max_volume_info:
        return max_volume_info[0]
    return None


# 返回：(60天最大量,昨日量,量参考日期,参考量据今交易日数)
def __parse_max_volume(code, datas, is_new_or_near_top=False):
    max_volume = 0
    max_volume_date = None
    max_volume_index = None
    # 判断30天内是否有涨停
    if is_new_or_near_top:
        # 30天内是否有涨停
        latest_limit_up_index = None
        for i in range(30):
            if i >= len(datas):
                break
            item = datas[i]
            limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
            if abs(limit_up_price - item["high"]) < 0.001:
                latest_limit_up_index = i
                break
        if latest_limit_up_index is not None:
            # 突破前高或者接近前高，30个交易日内有涨停
            if latest_limit_up_index > 0 and datas[latest_limit_up_index - 1]["volume"] > datas[latest_limit_up_index][
                "volume"]:
                return datas[latest_limit_up_index - 1]["volume"], datas[latest_limit_up_index - 1]["volume"], \
                       datas[latest_limit_up_index - 1]['bob'].strftime("%Y-%m-%d"), latest_limit_up_index - 1
            else:
                return datas[latest_limit_up_index]["volume"], datas[latest_limit_up_index]["volume"], \
                       datas[latest_limit_up_index]['bob'].strftime("%Y-%m-%d"), latest_limit_up_index

    if is_new_or_near_top:
        # 如果是突破前高就取最大量
        for i in range(len(datas)):
            item = datas[i]
            if max_volume < item["volume"]:
                max_volume = item["volume"]
                max_volume_date = item["bob"]
                max_volume_index = i
        return max_volume, max_volume, max_volume_date.strftime("%Y-%m-%d"), max_volume_index
    else:
        date = None
        target_volume = None
        for i in range(len(datas)):
            # 查询涨停
            item = datas[i]
            volume = item["volume"]
            if max_volume < volume:
                max_volume = volume
                max_volume_date = item['bob']
            # 是否有涨停
            limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(code, item["pre_close"]))
            # 不看超过60天的涨停
            if abs(limit_up_price - item["high"]) < 0.001 and i <= 59:
                # 涨停
                next_volume = 0
                if i > 0:
                    next_volume = datas[i - 1]["volume"]
                date = datas[i]["bob"]
                if volume < next_volume:
                    volume = next_volume
                    date = datas[i - 1]["bob"]
                target_volume = (volume, date, i)
                break

        # 90个交易日无涨停，取最近30天内的最高量作为参考量
        if not target_volume:
            # --判断近30天无涨停的最大量
            max_30_volume_info = [0, None]
            for i in range(30):
                if i >= len(datas):
                    break
                item = datas[i]
                volume = item["volume"]
                if max_30_volume_info[0] < volume:
                    max_30_volume_info = [volume, item["bob"], i]
            target_volume = max_30_volume_info
        return target_volume[0], target_volume[0], target_volume[1].strftime("%Y-%m-%d"), target_volume[2]