# 设置收盘价
import decimal

from code_attribute import gpcode_manager
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):
    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) -> object:
    datas = HistoryKDatasUtils.get_history_tick_n(code, count, "open,high,low,close,volume,pre_close,bob,amount")
    # 计算
    datas.sort(key=lambda x: x["bob"], reverse=True)
    return datas


# 解析最大量
def parse_max_volume(datas, is_new_or_near_top=False):
    max_volume = 0
    max_volume_date = 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(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")
            else:
                return datas[latest_limit_up_index]["volume"], datas[latest_limit_up_index]["volume"], \
                       datas[latest_limit_up_index]['bob'].strftime("%Y-%m-%d")

    if is_new_or_near_top:
        # 如果是突破前高就取最大量
        for item in datas:
            if max_volume < item["volume"]:
                max_volume = item["volume"]
                max_volume_date = item["bob"]
        return max_volume, max_volume, max_volume_date.strftime("%Y-%m-%d")
    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(item["pre_close"]))
            if abs(limit_up_price - item["high"]) < 0.01:
                # 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)
                break
        if not target_volume:
            target_volume = (max_volume, max_volume_date)

        # --判断近60天无涨停的最大量
        max_60_volume_info = [0, None]
        # 60天内是否有涨停
        has_60_limit_up = False
        for i in range(60):
            if i >= len(datas):
                break
            item = datas[i]
            volume = item["volume"]
            if max_60_volume_info[0] < volume:
                max_60_volume_info = [volume, item["bob"]]
            limit_up_price = float(gpcode_manager.get_limit_up_price_by_preprice(item["pre_close"]))
            if abs(limit_up_price - item["high"]) < 0.01:
                has_60_limit_up = True
                break

        if not has_60_limit_up and target_volume[0] > max_60_volume_info[0] * 3:
            # 60天内无涨停,且60天内最大量小于最大量的1/3,判断为地量,返回近60个交易日的最大量
            return max_60_volume_info[0], max_60_volume_info[0], max_60_volume_info[1].strftime("%Y-%m-%d")
        else:
            return target_volume[0], target_volume[0], target_volume[1].strftime("%Y-%m-%d")