import threading
import time

from code_attribute import code_nature_analyse, gpcode_manager
from log_module.log import logger_debug
from third_data import history_k_data_manager
from third_data.history_k_data_util import JueJinApi
from trade import l2_trade_util
from utils import tool, init_data_util


def __update():
    time.sleep(5)
    history_k_data_manager.update_history_k_bars()


def __is_normal_in_5d(code):
    """
    最近5天是否处于正常状态
    @param code:
    @return:
    """
    now_day = tool.get_now_date_str()
    results = JueJinApi.get_history_instruments(JueJinApi.get_juejin_code_list_with_prefix([code]),
                                                tool.date_sub(now_day, 30), tool.date_sub(now_day, 1))
    results = results[-5:]
    normal = True
    for r in results:
        if r["sec_level"] != 1:
            normal = False
            break
    return normal


if __name__ == '__main__1':
    codes = {'300947', '002025', '002875', '000757', '603076', '600785', '300766', '600595', '603511', '002205',
             '002943', '002802', '002715', '603967', '600818', '000796', '600960', '603882', '002883', '603578',
             '600650', '603028', '002905', '300058', '000503', '603228', '603920', '603693', '002209', '300819',
             '002105', '300155', '002152', '002982', '600588', '001282', '605186', '600889', '002364', '603106',
             '300451', '600506', '002559', '002363', '603888', '605259', '605069', '002622', '001258', '601566',
             '002946', '002733', '002448', '000056', '600101', '603979', '002800', '603881', '003010', '002295',
             '600322', '603580', '300153', '605398', '300946', '603506', '601218', '603938', '600120', '601619',
             '002229', '002990', '002298', '603305', '002188', '002560', '300244', '001313', '000899', '600319',
             '603183', '603876', '002662', '601579', '605333', '000818', '300069', '000048', '002881', '600590',
             '002261', '002734', '600868', '002285', '002847', '002444', '000715', '601777', '000710', '002133',
             '600143', '600280', '605011', '600728', '300488', '002286', '600718', '002354', '002475', '600114',
             '603312', '300454', '300941', '000151', '600708', '002163', '002305', '002851', '002173', '002785',
             '600032', '000920', '002913', '001389', '603121', '603063', '002384', '300067', '603273', '600602',
             '000599', '603517', '002335', '002529', '002463', '600719', '601921', '603280', '600336', '600533',
             '002358', '002357', '600979', '301396', '002068', '605255', '002248', '000722', '000688', '002518',
             '603001', '600318', '600095', '300746', '001333', '002976', '002122', '301230', '603829', '300599',
             '001279', '000007', '603269', '002743', '603286', '002134', '603193', '600376', '002970', '603860',
             '002044', '000657', '002273', '605228', '002953', '002484', '600758', '600456', '605388', '603729',
             '300288', '001298', '300528', '300643', '002707', '603108', '605162', '000592', '603716', '000558',
             '600173', '002380', '300534', '600238', '002394', '603901', '002418', '002965', '002296', '603566',
             '002779', '000888', '600825', '603268', '003038', '002993', '000659', '002580', '300253', '603215',
             '002725', '603038', '002938', '002666', '002599', '600665', '603500', '002065', '002760', '301299',
             '300078', '002436', '601869', '603610', '002888', '000815', '600183', '603238', '002829', '603296',
             '603950', '603109', '000428'}
    print(",".join(codes))

if __name__ == '__main__':
    code = "002809"
    limit_up_price = 13.01
    volumes_data = init_data_util.get_volumns_by_code(code, 150)
    volumes = init_data_util.parse_max_volume_new(code, volumes_data[:60])
    if code_nature_analyse.is_price_too_high_in_days(code, volumes_data, limit_up_price)[0]:
        pass
    # 保存K线形态
    k_format = code_nature_analyse.get_k_format(code, limit_up_price, volumes_data)

    if k_format[10] and k_format[10][0]:
        # 近5个交易日有涨停/炸板/跌停
        price_info = k_format[10][1]
        p_price_info = price_info[0]  # (价格,量)
        t_price_info = price_info[1]  # (价格,量)/None
        # 初始化不能买
        can_buy = False
        # 抛压已释放：今日涨停价≥T高价且T高价当日成交量≥P高价对应的那一天的成交量*101%
        if t_price_info and limit_up_price >= t_price_info[0] and t_price_info[1] >= p_price_info[0] * 1.01:
            can_buy = True

        if not can_buy:
            # 抛压当日大幅释放：今日涨停价≥T高价+2%且今日涨停实时成交量≥T高价当日成交量*90%
            if t_price_info and limit_up_price >= t_price_info[0] * 1.02:
                today_volume = int(98.02 * 10000 * 100)
                if today_volume >= t_price_info[1] * 0.9:
                    can_buy = True

        if not can_buy:
            # 抛压今日强势释放：没有T高价时，今日涨停价≥P高价+6%且今日涨停实时成交量≥P高价当日成交量*101%
            if not t_price_info and limit_up_price >= p_price_info[0] * 1.06:
                today_volume = int(98.02 * 10000 * 100)
                if today_volume >= p_price_info[1] * 1.01:
                    can_buy = True

        if not can_buy:
            print("抛压没释放")
        else:
            print("抛压已释放")