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2025-06-03 f82aab768e4bc361eac69e1ae69b36a9bec2970c

 third_data/code_plate_key_manager.py

@@ -5,25 +5,27 @@
# 涨停代码关键词板块管理
import copy
import datetime
import itertools
import json
import time

import constant
from code_attribute import gpcode_manager
from db.redis_manager_delegate import RedisUtils
from third_data import kpl_block_util, kpl_api, kpl_util, kpl_data_constant, huaxin_l1_data_manager
from third_data import kpl_block_util, kpl_api, kpl_util
from settings.trade_setting import MarketSituationManager
from third_data.kpl_data_constant import LimitUpDataConstant, LimitUpCodesBlockRecordManager
from third_data.third_blocks_manager import BlockMapManager, CodeThirdBlocksManager
from trade.buy_money_count_setting import RadicalBuyBlockCodeCountManager
from trade.order_statistic import DealAndDelegateWithBuyModeDataManager
from trade.radical_buy_data_manager import RedicalBuyDataManager
from third_data.history_k_data_manager import HistoryKDataManager
from third_data.history_k_data_util import HistoryKDatasUtils
from third_data.kpl_data_constant import LimitUpCodesBlockRecordManager, ContainsLimitupCodesBlocksManager
from third_data.third_blocks_manager import BlockMapManager
from utils import global_util, tool, buy_condition_util
from log_module import log, async_log_util
from db import redis_manager_delegate as redis_manager
from log_module import async_log_util
from db import redis_manager_delegate as redis_manager, mysql_data_delegate as mysql_data

from log_module.log import logger_kpl_block_can_buy, logger_debug, logger_kpl_jx_out
from log_module.log import logger_kpl_block_can_buy, logger_kpl_jx_out, logger_kpl_jx_in, logger_debug, \
    logger_kpl_latest_gaobiao
from third_data.kpl_util import KPLPlatManager
from trade import trade_manager, l2_trade_util, trade_constant
from trade import l2_trade_util, trade_constant

# 代码精选板块管理
from utils.kpl_data_db_util import KPLLimitUpDataUtil
@@ -43,7 +45,10 @@
    def __new__(cls, *args, **kwargs):
        if not cls.__instance:
            cls.__instance = super(KPLCodeJXBlockManager, cls).__new__(cls, *args, **kwargs)
            cls.__load_data()
            try:
                cls.__load_data()
            except Exception as e:
                logger_debug.exception(e)
        return cls.__instance

    @classmethod
@@ -222,8 +227,18 @@

# 开盘啦禁止交易板块管理
class KPLPlateForbiddenManager:
    __redisManager = redis_manager.RedisManager(3)
    """
    不能买的板块管理
    """
    __redis_manager = redis_manager.RedisManager(3)
    __kpl_forbidden_plates_cache = set()
    # 已经删除了的板块
    __deleted_kpl_forbidden_plates_cache = set()

    # 监控的高标板块代码字典：{"板块":{"代码1","代码2"}}
    __watch_block_high_codes = {}
    # 高标代码
    __watch_high_codes = set()

    __instance = None

@@ -237,24 +252,164 @@
    def __load_datas(cls):
        __redis = cls.__get_redis()
        try:
            __kpl_forbidden_plates_cache = RedisUtils.smembers(__redis, "kpl_forbidden_plates")
            cls.__kpl_forbidden_plates_cache = RedisUtils.smembers(__redis, "kpl_forbidden_plates")
            cls.__deleted_kpl_forbidden_plates_cache = RedisUtils.smembers(__redis, "deleted_kpl_forbidden_plates")
        finally:
            RedisUtils.realse(__redis)
        cls.__load_latest_gb()

    @classmethod
    def __get_redis(cls):
        return cls.__redisManager.getRedis()
        return cls.__redis_manager.getRedis()

    def save_plate(self, plate):
        self.__kpl_forbidden_plates_cache.add(plate)
        RedisUtils.sadd(self.__get_redis(), "kpl_forbidden_plates", plate)
        RedisUtils.expire(self.__get_redis(), "kpl_forbidden_plates", tool.get_expire())

        self.__deleted_kpl_forbidden_plates_cache.discard(plate)
        RedisUtils.srem(self.__get_redis(), "deleted_kpl_forbidden_plates", plate)
        RedisUtils.expire(self.__get_redis(), "deleted_kpl_forbidden_plates", tool.get_expire())

    def delete_plate(self, plate):
        self.__kpl_forbidden_plates_cache.discard(plate)
        RedisUtils.srem(self.__get_redis(), "kpl_forbidden_plates", plate)
        RedisUtils.expire(self.__get_redis(), "kpl_forbidden_plates", tool.get_expire())
        self.__deleted_kpl_forbidden_plates_cache.add(plate)
        RedisUtils.sadd(self.__get_redis(), "deleted_kpl_forbidden_plates", plate)
        RedisUtils.expire(self.__get_redis(), "deleted_kpl_forbidden_plates", tool.get_expire())

    def list_all(self):
        return RedisUtils.smembers(self.__get_redis(), "kpl_forbidden_plates")

    def list_all_cache(self):
        return self.__kpl_forbidden_plates_cache

    def list_all_deleted_cache(self):
        return self.__deleted_kpl_forbidden_plates_cache

    def is_in_cache(self, plate):
        if self.__kpl_forbidden_plates_cache and plate in self.__kpl_forbidden_plates_cache:
            return True
        return False

    @classmethod
    def __load_latest_gb(cls):
        """
        加载最近的市场高标
        @return:
        """
        # 获取最近10个交易日涨停的涨停数据
        dates = HistoryKDatasUtils.get_latest_trading_date_cache(10)
        if not dates:
            return
        min_date = dates[-1]
        sql = f"SELECT r.`_code`, r.`_hot_block_name`, r.`_day`, r.`_open` FROM `kpl_limit_up_record` r WHERE r.`_day`>='{min_date}'"
        mysqldb = mysql_data.Mysqldb()
        results = mysqldb.select_all(sql)
        code_days_map = {}
        # 每炸板
        f_code_days_map = {}
        for r in results:
            if r[0] not in code_days_map:
                code_days_map[r[0]] = set()
            code_days_map[r[0]].add(r[2])
            if not r[3]:
                if r[0] not in f_code_days_map:
                    f_code_days_map[r[0]] = set()
                f_code_days_map[r[0]].add(r[2])

        # 过滤涨停次数>=3次的数据
        target_codes = set()
        for code in code_days_map:
            if f_code_days_map.get(code) and (len(f_code_days_map.get(code)) >= 4 or (
                    tool.is_ge_code(code) and len(f_code_days_map.get(code)) >= 2)):
                # 且有3天属于连续涨停
                day_list = list(code_days_map[code])
                day_list.sort(reverse=True)
                step = 3
                has_continue = False
                for i in range(0, len(day_list) - step + 1):
                    item_list = day_list[i:i + step]
                    # 是否属于连续涨停
                    is_sub = False
                    for j in range(0, len(dates) - step):
                        if f"{dates[j:j + step]}" == f"{item_list}":
                            is_sub = True
                            break
                    if is_sub:
                        has_continue = True
                        break
                if not has_continue:
                    continue

                has_big_deal = False
                # 最近10个交易日的成交额要大于10亿
                volumes_data = HistoryKDataManager().get_history_bars(code, dates[0])
                if volumes_data:
                    for d in volumes_data[:10]:
                        if d["amount"] > 10e8:
                            has_big_deal = True
                            break
                if not has_big_deal:
                    continue
                target_codes.add(code)
        # 代码对应的板块
        code_blocks = {}
        for r in results:
            if r[0] not in target_codes:
                continue
            if r[0] not in code_blocks:
                code_blocks[r[0]] = set()
            code_blocks[r[0]].add(kpl_util.filter_block(r[1]))
        # 所有板块对应的代码集合
        block_codes = {}
        for code in code_blocks:
            for b in code_blocks[code]:
                if b in constant.KPL_INVALID_BLOCKS:
                    continue
                if b not in block_codes:
                    block_codes[b] = set()
                block_codes[b].add(code)
        print(block_codes)
        cls.__watch_block_high_codes = block_codes
        logger_kpl_latest_gaobiao.info(f"{block_codes}")
        cls.__watch_high_codes.clear()
        for b in block_codes:
            cls.__watch_high_codes |= block_codes[b]

        for k in block_codes:
            print(k, [(x, gpcode_manager.get_code_name(x)) for x in block_codes[k]])

    def get_watch_high_codes(self):
        return self.__watch_high_codes

    def get_watch_high_codes_by_block(self, b):
        return self.__watch_block_high_codes.get(b)

    def compute(self, code_rate_dict: dict):
        """
        根据比例计算需要拉黑的代码
        @param code_rate_dict: 涨幅百分数
        @return:
        """
        try:
            if self.__watch_block_high_codes:
                forbidden_blocks = set()
                for b in self.__watch_block_high_codes:
                    total_rate = 0
                    for code in self.__watch_block_high_codes[b]:
                        if code in code_rate_dict:
                            total_rate += code_rate_dict.get(code)
                    average_rate = total_rate / len(self.__watch_block_high_codes[b])
                    if average_rate < 1:
                        forbidden_blocks.add(b)
                    # async_log_util.info(logger_debug, f"板块平均涨幅 {b}-{average_rate}")

                self.__kpl_forbidden_plates_cache = forbidden_blocks
                async_log_util.info(logger_debug, f"拉黑板块：{forbidden_blocks}")
        except Exception as e:
            logger_debug.exception(e)


class LimitUpCodesPlateKeyManager:
@@ -333,8 +488,10 @@

# 实时开盘啦市场数据
class RealTimeKplMarketData:
    # 精选前5
    top_5_reason_list = []
    # 流入缓存 [ID, 板块名称, 板块涨幅, 流入金额]
    top_in_list_cache = []
    # 流出缓存
    top_out_list_cache = []
    # 行业前5
    top_5_industry_list = []
    #
@@ -345,22 +502,86 @@
    __LimitUpCodesPlateKeyManager = LimitUpCodesPlateKeyManager()
    __KPLPlatManager = KPLPlatManager()
    # 精选流入前几
    __top_jx_blocks = set()
    __top_jx_blocks = []
    # 精选流出前几
    __top_jx_out_blocks = set()
    __top_jx_out_blocks = []
    # 精选板块流入金额
    __jx_blocks_in_money_dict = {}
    # 市场行情热度，默认为60
    __market_strong = 60

    @classmethod
    def get_jingxuan_in_block_threshold_count(cls):
        """
        获取买精选流入前几
        @return:
        """
        score = 60
        if cls.__market_strong is not None:
            score = int(cls.__market_strong)
        for info in constant.RADICAL_BUY_TOP_IN_COUNT_BY_MARKET_STRONG:
            if info[0] <= score < info[1]:
                return info[2]
        return 10

    @classmethod
    def set_market_jingxuan_blocks(cls, datas):
        """
        设置精选流入数据
        @param datas:
        @param datas:[(板块编号,板块名称,涨幅, 板块流入金额)]
        @return:
        """
        # 流入阈值
        # THRESHOLD_MONEY = 50 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
        # THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
        # THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
        # THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
        THRESHOLD_MONEY = 0
        # 最大数量
        # MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()

        cls.top_in_list_cache = datas
        blocks = set()
        count = 0
        fblock_money = {}
        for data in datas:
            if data[3] <= 0:
                break
            blocks.add(data[1])
            cls.__jx_blocks_in_money_dict[data[1]] = data[3]
            if data[1] in constant.KPL_INVALID_BLOCKS:
                continue
            if data[3] < THRESHOLD_MONEY:
                continue
            # 过滤出来为同一个板块就只算1个数量
            fb = BlockMapManager().filter_blocks({data[1]})
            if blocks & fb:
                continue

            for b in fb:
                fblock_money[b] = data[3]
            blocks |= fb

            # 如果该原因没有涨停票要往后移一位
            has_code = False
            for b in fb:
                if ContainsLimitupCodesBlocksManager().get_block_codes(b):
                    has_code = True
                    break
            if has_code:
                count += 1
                if count == 10:
                    strong = cls.get_market_strong()
                    if strong is None:
                        strong = 60
                    if data[3] > 3e7:
                        # 大于3千万
                        THRESHOLD_MONEY = int((1 - strong / 200) * data[3])
                    else:
                        THRESHOLD_MONEY = data[3]
            # if count >= MAX_COUNT:
            #     break
        # 记录精选流出日志
        async_log_util.info(logger_kpl_jx_in, f"原数据：{datas[:50]} 板块：{blocks}")
        blocks = list(blocks)
        blocks.sort(key=lambda x: fblock_money.get(x), reverse=True)
        cls.__top_jx_blocks = blocks

    @classmethod
@@ -370,20 +591,46 @@
        @param datas:
        @return:
        """
        cls.top_out_list_cache = datas
        count = 0
        blocks = set()
        for i in range(0, len(datas)):
            if i >= 10 and int(tool.get_now_time_str().replace(":", "")) < int("100000"):
                # 10点前看前10，十点后不看前10
                break
            data = datas[i]
            if data[3] > 0 - 5e7:
        for data in datas:
            cls.__jx_blocks_in_money_dict[data[1]] = data[3]
            if data[1] in constant.KPL_INVALID_BLOCKS:
                continue
            if data[3] > -5e7:
                # 过滤5千万以上的
                break
            blocks.add(kpl_util.filter_block(data[1]))

            # 过滤出来为同一个板块就只算1个数量
            fb = BlockMapManager().filter_blocks({data[1]})
            if blocks & fb:
                continue
            blocks |= fb
            count += 1
            if count >= 10:
                break
        # 记录精选流出日志
        async_log_util.info(logger_kpl_jx_out, f"原数据：{datas[:10]} 板块：{blocks}")
        cls.__top_jx_out_blocks = blocks
        cls.__top_jx_out_blocks = list(blocks)

    @classmethod
    def set_market_strong(cls, strong):
        """
        设置市场行情强度
        @param strong:
        @return:
        """
        cls.__market_strong = strong

    @classmethod
    def is_ignore_block_in_money(cls):
        if cls.__market_strong and cls.__market_strong >= constant.IGNORE_BLOCK_IN_MONEY_MARKET_STRONG:
            return True
        return False

    @classmethod
    def get_market_strong(cls):
        return cls.__market_strong

    @classmethod
    def get_top_market_jingxuan_blocks(cls):
@@ -392,6 +639,18 @@
    @classmethod
    def get_top_market_jingxuan_out_blocks(cls):
        return cls.__top_jx_out_blocks

    @classmethod
    def get_block_info_at_block_in(cls, b):
        """
        获取板块的净流入情况
        @param b:
        @return: (板块名称,身位,流入金额)
        """
        for i in range(0, len(cls.top_in_list_cache)):
            if cls.top_in_list_cache[i][1] == b:
                return b, i, cls.top_in_list_cache[i][3]
        return b, -1, 0

    @classmethod
    def set_top_5_industry(cls, datas):
@@ -434,6 +693,10 @@
            return True, temp_set
        else:
            return False, None

    @classmethod
    def get_jx_block_in_money(cls, block):
        return cls.__jx_blocks_in_money_dict.get(block)


# 代码历史涨停原因与板块管理
@@ -619,19 +882,7 @@
    __TargetCodePlateKeyManager = TargetCodePlateKeyManager()
    __LimitUpCodesPlateKeyManager = LimitUpCodesPlateKeyManager()
    __CodesHisReasonAndBlocksManager = CodesHisReasonAndBlocksManager()
    __CodesTradeStateManager = trade_manager.CodesTradeStateManager()
    __can_buy_compute_result_dict = {}

    @classmethod
    def __remove_from_l2(cls, code, msg):
        # 根据身位移除代码
        # return
        # 下过单的代码不移除
        if trade_manager.CodesTradeStateManager().get_trade_state_cache(code) != trade_constant.TRADE_STATE_NOT_TRADE:
            # 只要下过单的就不移除
            return
        l2_trade_util.forbidden_trade(code, msg=msg)
        logger_kpl_block_can_buy.info(msg)

    # 是否需要积极买
    @classmethod
@@ -922,7 +1173,12 @@

        # 获取目标代码板块
        # keys, k1, k11, k2, k3, k4 = cls.__TargetCodePlateKeyManager.get_plate_keys(code)
        keys, k1 = RadicalBuyBlockManager.get_code_blocks(code)
        keys = LimitUpCodesBlockRecordManager().get_radical_buy_blocks(code)
        if not keys:
            keys = set()
        keys = BlockMapManager().filter_blocks(keys)
        if keys:
            keys -= constant.KPL_INVALID_BLOCKS

        # log.logger_kpl_debug.info("{}最终关键词：{}", code, keys)

@@ -964,7 +1220,8 @@
    @classmethod
    def __compute_can_buy_blocks(cls, code, current_limit_up_datas, limit_up_record_datas,
                                 yesterday_current_limit_up_codes, before_blocks_dict,
                                 current_limit_up_block_codes_dict, high_level_general_code_blocks):
                                 current_limit_up_block_codes_dict, high_level_general_code_blocks, codes_delegate,
                                 codes_success):
        # 根据代码泛化板块获取泛化板块的代码集合
        high_level_general_block_codes = {}
        for c in high_level_general_code_blocks:
@@ -980,10 +1237,7 @@
                                                             high_level_general_block_codes)
        if not blocks_compute_results:
            return False, True, f"没有找到板块", [], keys, []
        codes_delegate = set(cls.__CodesTradeStateManager.get_codes_by_trade_states_cache(
            {trade_constant.TRADE_STATE_BUY_DELEGATED, trade_constant.TRADE_STATE_BUY_PLACE_ORDER}))
        codes_success = set(cls.__CodesTradeStateManager.get_codes_by_trade_states_cache(
            {trade_constant.TRADE_STATE_BUY_SUCCESS}))

        codes = codes_delegate | codes_success
        # 统计成交代码的板块
        trade_codes_blocks_dict = {}
@@ -1062,7 +1316,7 @@
    @classmethod
    def update_can_buy_blocks(cls, code, current_limit_up_datas, limit_up_record_datas,
                              latest_current_limit_up_records,
                              before_blocks_dict, current_limit_up_block_codes_dict):
                              before_blocks_dict, current_limit_up_block_codes_dict, delegate_codes, deal_codes):
        yesterday_current_limit_up_codes = set()
        yesterday_current_limit_up_records_dict = {}
        yesterday_current_limit_up_records = latest_current_limit_up_records[0][1]
@@ -1096,572 +1350,13 @@
                                                                                                                   yesterday_current_limit_up_codes,
                                                                                                                   before_blocks_dict,
                                                                                                                   current_limit_up_block_codes_dict,
                                                                                                                   high_level_general_code_blocks)
                                                                                                                   high_level_general_code_blocks,
                                                                                                                   delegate_codes,
                                                                                                                   deal_codes)
        # 保存板块计算结果
        cls.__can_buy_compute_result_dict[code] = (
            can_buy_blocks, unique, msg, can_buy_strong_blocks, keys, active_buy_blocks)


class RadicalBuyBlockManager:
    """
    扫入买板块管理
    """
    __TargetCodePlateKeyManager = TargetCodePlateKeyManager()
    # 上次的涨停代码
    __last_limit_up_codes = set()
    # 记录代码的涨停时间
    __limit_up_time_dict = {}
    # 炸板代码的总涨停时间
    __total_limit_up_space_dict = {}

    # 当前涨停的代码
    __current_limit_up_codes = set()

    @classmethod
    def set_current_limit_up_datas(cls, current_limit_up_datas):
        # 查询当前的涨停代码集合
        codes = set([d[0] for d in current_limit_up_datas])
        cls.__current_limit_up_codes = codes
        try:
            # 炸板代码
            break_limit_up_codes = cls.__last_limit_up_codes - codes
            # 新涨停的代码
            new_limit_up_codes = codes - cls.__last_limit_up_codes
            if new_limit_up_codes:
                for code in new_limit_up_codes:
                    if code not in cls.__limit_up_time_dict:
                        cls.__limit_up_time_dict[code] = time.time()
            if break_limit_up_codes:
                # 记录总涨停时间
                for bc in break_limit_up_codes:
                    if bc in cls.__limit_up_time_dict:
                        space = tool.trade_time_sub(tool.get_now_time_str(),
                                                    tool.to_time_str(cls.__limit_up_time_dict[bc]))
                        if bc not in cls.__total_limit_up_space_dict:
                            cls.__total_limit_up_space_dict[bc] = 0
                        cls.__total_limit_up_space_dict[bc] = cls.__total_limit_up_space_dict[bc] + space
                        logger_debug.info(f"炸板代码涨停时间：{bc}-{cls.__total_limit_up_space_dict[bc]}")
                        cls.__limit_up_time_dict.pop(bc)
        except Exception as e:
            logger_debug.exception(e)
        finally:
            cls.__last_limit_up_codes = codes
        cls.compute_open_limit_up_code_dict_for_radical_buy(current_limit_up_datas)

    @classmethod
    def compute_open_limit_up_code_dict_for_radical_buy(cls, current_limit_up_datas):
        """
        计算开1的代码信息，不包含5板以上的
        @param current_limit_up_datas:
        @return:
        """
        timestamp_start, timestamp_end = kpl_block_util.open_limit_up_time_range
        temp_dict = {}
        for d in current_limit_up_datas:
            code = d[0]
            # d: (代码, 名称, 首次涨停时间, 最近涨停时间, 几板, 涨停原因, 板块, 实际流通, 主力净额,涨停原因代码,涨停原因代码数量)
            # 计算是否开1
            if int(d[2]) >= timestamp_end or int(d[2]) < timestamp_start:
                continue
            buy1_money = huaxin_l1_data_manager.get_buy1_money(code)
            # 买1是否大于5000w
            if not constant.TEST:
                if not buy1_money or buy1_money < 5e7:
                    continue
            if not tool.is_can_buy_code(code):
                continue
            blocks = {d[5]}
            if d[6]:
                blocks |= set(d[6].split("、"))
            blocks -= constant.KPL_INVALID_BLOCKS
            # 过滤
            blocks = BlockMapManager().filter_blocks(blocks)
            temp_dict[code] = (kpl_util.get_high_level_count(d[4]), blocks)
        kpl_data_constant.open_limit_up_code_dict_for_radical_buy = temp_dict

    @classmethod
    def __get_current_index(cls, code, block, yesterday_limit_up_codes, exclude_codes=None, limit_up_time=None):
        """
        获取当前涨停身位
        @param code:
        @param block:
        @param yesterday_limit_up_codes:
        @return: 索引,前排代码信息（[(代码, 涨停时间)]）
        """
        if exclude_codes is None:
            exclude_codes = set()
        current_index = 0
        block_codes_infos = []
        timestamp_start, timestamp_end = kpl_block_util.open_limit_up_time_range
        if limit_up_time is None:
            limit_up_time = time.time()
        for k in LimitUpDataConstant.current_limit_up_datas:
            _code = k[0]
            # 剔除4板以上的板
            if kpl_util.get_high_level_count(k[4]) >= 4:
                continue

            if _code in exclude_codes:
                continue
            blocks = LimitUpDataConstant.get_blocks_with_history(_code)
            if not blocks:
                blocks = set()
            blocks = BlockMapManager().filter_blocks(blocks)
            if _code == code:
                # 获取当前代码涨停时间
                limit_up_time = int(k[2])
                continue
            # 不是这个板块
            if block not in blocks:
                continue
            if not tool.is_can_buy_code(_code):
                continue
            # 剔除开1的数据
            if timestamp_start <= int(k[2]) < timestamp_end:
                continue
            # 剔除高位板
            if _code in yesterday_limit_up_codes:
                continue
            # 代码.涨停时间
            block_codes_infos.append((_code, int(k[2])))
        block_codes_infos.append((code, limit_up_time))
        block_codes_infos.sort(key=lambda x: x[1])
        before_codes_info = []
        for i in range(0, len(block_codes_infos)):
            if block_codes_infos[i][0] == code:
                current_index = i
                break
            else:
                before_codes_info.append(block_codes_infos[i])

        return current_index, before_codes_info

    @classmethod
    def __get_history_index(cls, code, block, yesterday_limit_up_codes, exclude_codes=None):
        """
        获取历史涨停身位
        @param code:
        @param block:
        @param current_limit_up_datas: 昨日涨停代码
        @param current_limit_up_codes: 目前的涨停代码
        @return:
        """
        if exclude_codes is None:
            exclude_codes = set()
        history_index = 0
        block_codes_infos = []
        # 开1时间范围
        timestamp_start, timestamp_end = kpl_block_util.open_limit_up_time_range
        limit_up_time = time.time()
        limit_up_space_ge_60s_codes = set()
        for k in LimitUpDataConstant.history_limit_up_datas:
            _code = k[3]

            # 剔除4板以上的板
            if kpl_util.get_high_level_count(k[12]) >= 4:
                continue

            if _code in exclude_codes:
                continue
            blocks = LimitUpDataConstant.get_blocks_with_history(_code)
            blocks = BlockMapManager().filter_blocks(blocks)
            if _code == code:
                # 获取当前代码涨停时间
                limit_up_time = int(k[5])
                continue
            # 不是这个板块
            if block not in blocks:
                continue
            if not tool.is_can_buy_code(_code):
                continue
            # 剔除开1的数据
            if timestamp_start <= int(k[5]) < timestamp_end:
                continue
            # 剔除高位板
            if _code in yesterday_limit_up_codes:
                continue
            # 剔除炸板代码持续涨停时间小于1分钟的代码 且 只能用于不排除前2条数据
            if _code not in cls.__current_limit_up_codes and _code in cls.__total_limit_up_space_dict and \
                    cls.__total_limit_up_space_dict[_code] < 60 and not exclude_codes and len(
                limit_up_space_ge_60s_codes) < 3:
                limit_up_space_ge_60s_codes.add(_code)
                continue
            # 代码,涨停时间
            block_codes_infos.append((_code, int(k[5])))
        block_codes_infos.append((code, limit_up_time))
        block_codes_infos.sort(key=lambda x: x[1])
        before_codes_info = []
        for i in range(0, len(block_codes_infos)):
            if block_codes_infos[i][0] == code:
                history_index = i
                break
            else:
                before_codes_info.append(block_codes_infos[i])
        return history_index, before_codes_info

    @classmethod
    def __is_radical_buy_with_open_limitup(cls, code, block, yesterday_limit_up_codes):
        """
        是否需要激进买(某个板块开1)
        1.有>=2个开1买老2
        2.有1个开1的买老3
        @param code:
        @param block:
        @param yesterday_limit_up_codes 昨日涨停代码
        @return:
        """
        # 9:45点之前涨停的才能买入
        # 获取当前代码的涨停时间
        limit_up_timestamp = cls.__get_limit_up_timestamp(code)
        if int(tool.timestamp_format(limit_up_timestamp, "%H%M%S")) > 94500:
            return False, "超过生效时间"
        # 根据板块聚合数据
        open_limit_up_block_codes_dict = {}
        for c in kpl_data_constant.open_limit_up_code_dict_for_radical_buy:
            blocks = kpl_data_constant.open_limit_up_code_dict_for_radical_buy[c][1]
            for b in blocks:
                if b not in open_limit_up_block_codes_dict:
                    open_limit_up_block_codes_dict[b] = set()
                open_limit_up_block_codes_dict[b].add(c)
        if block not in open_limit_up_block_codes_dict:
            return False, "板块未开1"
        open_limit_up_block_codes = list(open_limit_up_block_codes_dict.get(block))
        count = len(open_limit_up_block_codes)
        # ----获取历史身位----
        history_index, history_before_codes_info = cls.__get_history_index(code, block, yesterday_limit_up_codes)
        # ----获取实时身位----
        current_index, current_before_codes_info = cls.__get_current_index(code, block, yesterday_limit_up_codes,
                                                                           limit_up_time=limit_up_timestamp)
        exclude_codes = set()
        if count >= 2 or (
                count == 1 and kpl_data_constant.open_limit_up_code_dict_for_radical_buy[open_limit_up_block_codes[0]][
            0] == 2):
            # 开始数量大于2个或者只有一个2板开1
            exclude_codes.clear()
        else:
            # 获取包含高位板的身位
            # ----获取历史身位----
            history_index, history_before_codes_info = cls.__get_history_index(code, block, set())
            # ----获取实时身位----
            current_index, current_before_codes_info = cls.__get_current_index(code, block, set(),
                                                                               limit_up_time=limit_up_timestamp)
            if history_before_codes_info and current_before_codes_info and history_before_codes_info[0][0] == \
                    current_before_codes_info[0][0]:
                # 前排第一个元素无炸板
                exclude_codes = {history_before_codes_info[0][0]}
            else:
                return False, f"开1数量：{count}，历史-{history_index + 1} 实时-{current_index + 1}"

        # 获取主板的身位
        history_index, history_before_codes_info = cls.__get_history_index(code, block,
                                                                           yesterday_limit_up_codes,
                                                                           exclude_codes=exclude_codes)
        # 过滤不正的原因
        history_index, history_before_codes_info = cls.__filter_before_codes(block, history_index, history_before_codes_info, yesterday_limit_up_codes)

        # 买首板老大/老二
        # 首板老大不能买时可买老二
        if history_index > 1:
            return False, f"开1数量：{count}，非开1首板身位不匹配：历史-{history_index + 1} 实时-{current_index + 1}"
        if history_index == 1:
            # 当前代码为老2，要判断老大是否可买
            if RedicalBuyDataManager.can_buy(history_before_codes_info[0][0],
                                             DealAndDelegateWithBuyModeDataManager().get_deal_codes())[0]:
                return False, f"开1数量：{count}，前排代码可买：{history_before_codes_info[0]}"
            return True, f"开1数量：{count}，前排代码不可买：{history_before_codes_info[0]}，历史前排-{history_before_codes_info}，开1代码-{open_limit_up_block_codes}"
        return True, f"开1数量：{count}，历史-{history_index + 1} 实时-{current_index + 1}， 前排代码-{current_before_codes_info}, 开1代码-{open_limit_up_block_codes}"

    @classmethod
    def __filter_before_codes(cls, block, index, before_codes_info, yesterday_codes):
        """
        过滤前排涨停原因不正的代码
        @param code:
        @param block:板块
        @param index: 目标代码位置
        @param before_codes_info: [(代码, 涨停时间戳)]
        @return: 过滤之后的 (index, before_codes_info)
        """
        try:
            if index == 0 or not before_codes_info:
                return index, before_codes_info
            temp_index = index
            temp_before_codes_info = []
            for b in before_codes_info:
                # 当作目标票获取扫入板块
                blocks = LimitUpCodesBlockRecordManager().get_radical_buy_blocks(b[0])
                blocks = BlockMapManager().filter_blocks(blocks)
                if block not in blocks and b[0] not in yesterday_codes:
                    # 首板涨停原因不正
                    temp_index -= 1
                else:
                    temp_before_codes_info.append(b)

            return temp_index, temp_before_codes_info
        except Exception as e:
            async_log_util.error(logger_debug, f"扫入板块过滤出错：{str(e)}")
            return index, before_codes_info

    @classmethod
    def __is_radical_buy_with_block_up(cls, code, block, yesterday_limit_up_codes):
        """
        是否激进买（板块突然涨起来）
        1.老二和老三的涨停时间相差5分钟内
        2.老三不能买顺位到老四（老四与老三相差10分钟内）
        3.前2个票不能炸板（历史身位与现在身位一致）
        4.除开前两个代码可买老1与老2
        5.买老2的情况：老1不满足买入条件

        @param code:
        @param block:
        @param yesterday_limit_up_codes:
        @return:
        """

        # 获取当前代码的涨停时间
        limit_up_timestamp = cls.__get_limit_up_timestamp(code)

        # 获取当前的板块
        current_index, current_before_codes_info = cls.__get_current_index(code, block, set(),
                                                                           limit_up_time=limit_up_timestamp)
        current_before_codes = [x[0] for x in current_before_codes_info]

        if len(current_before_codes_info) < 2:
            return False, f"前排代码小于2个：{current_before_codes_info}"

        # 当前代码开1不能买
        if limit_up_timestamp < kpl_block_util.open_limit_up_time_range[1]:
            return False, f"当前代码开1"

        if tool.trade_time_sub(tool.timestamp_format(limit_up_timestamp, '%H:%M:%S'),
                               tool.timestamp_format(current_before_codes_info[-1][1], '%H:%M:%S')) >= 10 * 60:
            return False, f"距离上个代码涨停已过去10分钟（{current_before_codes_info[0]}）"

        history_index, history_before_codes_info = cls.__get_history_index(code, block, set())
        history_before_codes = [x[0] for x in history_before_codes_info]
        # 前两个代码是否有炸板
        dif_codes = set(history_before_codes[:2]) - set(current_before_codes[:2])
        if dif_codes:
            return False, f"前2代码有炸板：{dif_codes}"
        # 不计算前2的代码

        exclude_codes = set()
        for x in current_before_codes_info:
            if x[1] < kpl_block_util.open_limit_up_time_range[1]:
                exclude_codes.add(x[0])
        # 除去前二代码与开1代码之后是否为首板老大：所有开1的视为1个
        open_count = len(exclude_codes)
        if open_count > 0 and open_count + 1 <= len(current_before_codes):
            # 前排有开1
            exclude_codes |= set(current_before_codes[open_count:open_count + 1])
        else:
            exclude_codes |= set(current_before_codes[:2])

        open_limit_up_code_dict = kpl_data_constant.open_limit_up_code_dict_for_radical_buy
        if open_limit_up_code_dict:
            exclude_codes |= set(open_limit_up_code_dict.keys())
        history_index, history_before_codes_info = cls.__get_history_index(code, block, yesterday_limit_up_codes,
                                                                           exclude_codes)

        # 过滤不正的原因
        history_index, history_before_codes_info = cls.__filter_before_codes(block, history_index,
                                                                             history_before_codes_info,
                                                                             yesterday_limit_up_codes)

        # 获取本板块买入代码的最大数量
        max_count = RadicalBuyBlockCodeCountManager().get_block_code_count(block)
        if history_index > max_count:
            return False, f"排除前2，目标代码位于历史身位-{history_index + 1}，前排代码：{history_before_codes_info}, 板块最多可买{max_count}"

        if max_count == 1:
            if history_index == 1:
                # 首板老2，判断前面的老大是否是属于不能买的范畴
                pre_code = history_before_codes_info[0][0]
                # pre_code不能买，才能买
                if RedicalBuyDataManager.can_buy(pre_code, DealAndDelegateWithBuyModeDataManager().get_deal_codes())[0]:
                    return False, f"前排代码可买：{pre_code}"
                # 距离前一个是否在10分钟内
                if tool.trade_time_sub(tool.timestamp_format(limit_up_timestamp, '%H:%M:%S'),
                                       tool.timestamp_format(history_before_codes_info[-1][1], '%H:%M:%S')) >= 10 * 60:
                    return False, f"距离上个不能买的代码涨停已过去10分钟（{history_before_codes_info[0]}）"
            else:
                # 距离上个代码涨停5分钟以内
                if tool.trade_time_sub(tool.timestamp_format(limit_up_timestamp, '%H:%M:%S'),
                                       tool.timestamp_format(current_before_codes_info[-1][1], '%H:%M:%S')) >= 10 * 60:
                    return False, f"距离上个代码涨停已过去10分钟（{current_before_codes_info[-1]}）"
        else:
            if tool.trade_time_sub(tool.timestamp_format(limit_up_timestamp, '%H:%M:%S'),
                                   tool.timestamp_format(current_before_codes_info[-1][1], '%H:%M:%S')) >= 10 * 60:
                return False, f"距离上个代码涨停已过去10分钟（{current_before_codes_info[-1]}）"

        return True, f"满足买入需求: 前排代码-{current_before_codes_info}"

    @classmethod
    def __is_re_limit_up(cls, code, block):
        """
        是否是炸板回封可买
        @param code:
        @param block:
        @return:
        """
        # 获取身位
        current_index, current_before_codes_info = cls.__get_current_index(code, block, set(),
                                                                           limit_up_time=cls.__get_limit_up_timestamp(
                                                                               code))
        history_index, history_before_codes_info = cls.__get_history_index(code, block, set())
        if current_index != history_index:
            return False, f"有其他炸板"
        if current_index > 1:
            return False, f"不是前2的板块"
        history_codes = set()
        # 获取板块炸板情况
        for k in LimitUpDataConstant.history_limit_up_datas:
            _code = k[3]
            blocks = LimitUpDataConstant.get_blocks_with_history(_code)
            blocks = BlockMapManager().filter_blocks(blocks)
            # 不是这个板块
            if block in blocks:
                history_codes.add(_code)
        if len(history_codes) <= 4:
            return False, f"板块历史涨停小于4个：{history_codes}"
        # 获取当前涨停数量
        current_codes = set()
        for k in LimitUpDataConstant.current_limit_up_datas:
            _code = k[0]
            blocks = LimitUpDataConstant.get_blocks_with_history(_code)
            if not blocks:
                blocks = set()
            blocks = BlockMapManager().filter_blocks(blocks)
            # 不是这个板块
            if block in blocks:
                current_codes.add(_code)
        current_codes.add(code)
        diff = history_codes - current_codes
        if diff:
            return False, f"板块炸板不止当前票：{diff}"
        return True, ""

    @classmethod
    def __get_limit_up_timestamp(cls, code):
        """
        获取代码的涨停时间，默认当前时间
        @param code:
        @return:
        """
        limit_up_timestamp = LimitUpDataConstant.get_first_limit_up_time(code)
        if not limit_up_timestamp:
            limit_up_timestamp = time.time()
        return limit_up_timestamp

    @classmethod
    def get_code_kpl_blocks(cls, code):
        blocks = KPLCodeJXBlockManager().get_jx_blocks_radical(code)
        if blocks is None:
            blocks = set()
        # 将获取涨停原因与涨停推荐
        keys = TargetCodePlateKeyManager().get_plate_keys(code, contains_today=True)
        if keys and keys[0]:
            blocks |= set(keys[0])
        return blocks

    @classmethod
    def get_code_blocks(cls, code):
        """
        获取目标代码的板块
        @param code:
        @return: 过滤后的板块,过滤前的板块
        """
        # blocks = cls.get_code_kpl_blocks(code)
        # match_blocks, info = CodeThirdBlocksManager().get_intersection_blocks_info(code, blocks)
        # match_blocks -= constant.KPL_INVALID_BLOCKS
        # fblocks = match_blocks & RealTimeKplMarketData.get_top_market_jingxuan_blocks()
        # if not fblocks:
        #     fblocks = set()
        # match_blocks_3, info = CodeThirdBlocksManager().get_intersection_blocks_info(code, blocks, same_count=3)
        # if match_blocks_3:
        #     match_blocks_3 -= constant.KPL_INVALID_BLOCKS
        #     fblocks |= match_blocks_3
        # # 获取开盘啦历史涨停原因
        # kpl_history_blocks = CodesHisReasonAndBlocksManager().get_history_blocks_cache(code)
        # if kpl_history_blocks:
        #     fblocks |= BlockMapManager().filter_blocks(kpl_history_blocks)
        # jx_out_blocks = RealTimeKplMarketData.get_top_market_jingxuan_out_blocks()
        # if jx_out_blocks:
        #     fblocks -= jx_out_blocks
        #
        # return fblocks, match_blocks

        # 新版本
        before_fblocks = LimitUpCodesBlockRecordManager().get_radical_buy_blocks(code)
        if not before_fblocks:
            before_fblocks = set()
        fblocks = BlockMapManager().filter_blocks(before_fblocks)
        if fblocks:
            fblocks -= constant.KPL_INVALID_BLOCKS
        return fblocks, before_fblocks

    @classmethod
    def is_radical_buy(cls, code, yesterday_limit_up_codes):
        """
        是否是激进买
        @param code:
        @return: {激进买的板块}, 原因
        """
        # 计算
        # 获取开1的板块
        open_limit_up_code_dict = kpl_data_constant.open_limit_up_code_dict_for_radical_buy
        open_limit_up_blocks = set()
        if open_limit_up_code_dict:
            for c in open_limit_up_code_dict:
                open_limit_up_blocks |= open_limit_up_code_dict[c][1]
        # 获取代码的板块
        keys_, info = cls.get_code_blocks(code)
        if not keys_:
            return set(), "没获取到板块交集"

        match_blocks = open_limit_up_blocks & keys_
        can_buy_blocks = set()
        fmsges = []
        msges = []
        for b in match_blocks:
            # 判断板块是否该激进买
            result = cls.__is_radical_buy_with_open_limitup(code, b, yesterday_limit_up_codes)
            if result[0]:
                can_buy_blocks.add(b)
            msges.append(f"【{b}】:{result[1]}")
        fmsges.append("开1判断##" + ",".join(msges))
        if not can_buy_blocks:
            msges.clear()
            for b in keys_:
                # 板块快速启动
                result = cls.__is_radical_buy_with_block_up(code, b, yesterday_limit_up_codes)
                if result[0]:
                    can_buy_blocks.add(b)

                msges.append(f"【{b}】:{result[1]}")
            fmsges.append("板块快速启动判断##" + ",".join(msges))

        if not can_buy_blocks:
            msges.clear()
            for b in keys_:
                result = cls.__is_re_limit_up(code, b)
                if result[0]:
                    can_buy_blocks.add(b)
                    msges.append(f"【{b}】:{result[1]}")
            fmsges.append("板块回封判断##" + ",".join(msges))

        # 如果能扫入就需要获取代码在板块中的身位
        # if can_buy_blocks:
        #     excude_codes = set()
        #     if kpl_data_constant.open_limit_up_code_dict_for_radical_buy:
        #         excude_codes |= kpl_data_constant.open_limit_up_code_dict_for_radical_buy.keys()
        #     # 剔除开1的代码
        #     for b in keys_:
        #         history_index, history_before_codes_info = cls.__get_history_index(code, b, yesterday_limit_up_codes,
        #                                                                            excude_codes)
        #         if history_index >= 4:
        #             return set(), f"在【{b}】中身位({history_index + 1})靠后"
        return can_buy_blocks, " **** ".join(fmsges)


if __name__ == "__main__":
    pass
    KPLPlateForbiddenManager().compute()