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2024-11-04 78a81374f1aa9605e06bb2d6bfa38a74bb27d8ef
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"""
代码行业关键词管理
"""
 
# 涨停代码关键词板块管理
import copy
import datetime
import json
import time
 
import constant
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 settings.trade_setting import MarketSituationManager
from third_data.kpl_data_constant import LimitUpDataConstant
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 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.log import logger_kpl_block_can_buy, logger_debug, logger_kpl_jx_out
from third_data.kpl_util import KPLPlatManager
from trade import trade_manager, l2_trade_util, trade_constant
 
# 代码精选板块管理
from utils.kpl_data_db_util import KPLLimitUpDataUtil
 
 
class KPLCodeJXBlockManager:
    __db = 3
    __redisManager = redis_manager.RedisManager(3)
    __code_blocks = {}
    # 备用
    __code_by_blocks = {}
    # 激进买的代码板块
    __code_blocks_for_radical_buy = {}
 
    __instance = None
 
    def __new__(cls, *args, **kwargs):
        if not cls.__instance:
            cls.__instance = super(KPLCodeJXBlockManager, cls).__new__(cls, *args, **kwargs)
            cls.__load_data()
        return cls.__instance
 
    @classmethod
    def __load_data(cls):
        keys = RedisUtils.keys(cls.__get_redis(), "kpl_jx_blocks_by-*")
        if keys:
            for k in keys:
                val = RedisUtils.get(cls.__get_redis(), k)
                val = json.loads(val)
                cls.__code_by_blocks[k.split("-")[1]] = (val, time.time())
        keys = RedisUtils.keys(cls.__get_redis(), "kpl_jx_blocks-*")
        if keys:
            for k in keys:
                val = RedisUtils.get(cls.__get_redis(), k)
                val = json.loads(val)
                cls.__code_blocks[k.split("-")[1]] = (val, time.time())
        keys = RedisUtils.keys(cls.__get_redis(), "kpl_jx_blocks_radical-*")
        if keys:
            for k in keys:
                val = RedisUtils.get(cls.__get_redis(), k)
                val = json.loads(val)
                cls.__code_blocks_for_radical_buy[k.split("-")[1]] = (val, time.time())
 
    @classmethod
    def __get_redis(cls):
        return cls.__redisManager.getRedis()
 
    def save_jx_blocks(self, code, blocks: list, current_limit_up_blocks: set, by=False):
        if not blocks:
            return
        final_blocks = copy.deepcopy(blocks)
        if len(blocks) > 2:
            final_blocks.clear()
            for b in blocks:
                if b not in constant.KPL_INVALID_BLOCKS:
                    final_blocks.append(b)
            if len(final_blocks) < 2:
                final_blocks = blocks
        # 保存前2条数据
        if by:
            RedisUtils.setex_async(self.__db, f"kpl_jx_blocks_by-{code}", tool.get_expire(), json.dumps(final_blocks))
            self.__code_by_blocks[code] = (final_blocks, time.time())
        else:
            RedisUtils.setex_async(self.__db, f"kpl_jx_blocks-{code}", tool.get_expire(), json.dumps(final_blocks))
            self.__code_blocks[code] = (final_blocks, time.time())
 
    def save_jx_blocks_for_radical_buy(self, code, blocks: list):
        if not blocks:
            return
        RedisUtils.setex_async(self.__db, f"kpl_jx_blocks_radical-{code}", tool.get_expire(), json.dumps(blocks))
        self.__code_blocks_for_radical_buy[code] = (blocks, time.time())
 
    # 获取精选板块(激进买)
    def get_jx_blocks_radical(self, code):
        blocks_info = self.__code_blocks_for_radical_buy.get(code)
        if blocks_info:
            return set(blocks_info[0])
        return None
 
    def get_jx_blocks_cache(self, code, by=False):
        if by:
            return self.__code_by_blocks.get(code)
        else:
            return self.__code_blocks.get(code)
 
    # 从网络上加载精选板块, 当前涨停的板块
    def load_jx_blocks(self, code, buy_1_price, limit_up_price, current_limit_up_blocks):
        try:
            # logger_kpl_block_can_buy.info(f"准备更新精选板块:{code}-{buy_1_price}-{limit_up_price}")
            if limit_up_price and buy_1_price:
                # 处理买1,卖1信息
                pre_close_price = round(float(limit_up_price) / tool.get_limit_up_rate(code), 2)
                # 如果涨幅大于7%就读取板块
                price_rate = (buy_1_price - pre_close_price) / pre_close_price
                if price_rate > 0.07:
                    jx_blocks_info = self.get_jx_blocks_cache(code)
                    if not jx_blocks_info:
                        start_time = time.time()
                        blocks = kpl_api.getCodeBlocks(code)
                        async_log_util.info(logger_kpl_block_can_buy,
                                            f"{code}:获取到精选板块-{blocks}  耗时:{int(time.time() - start_time)}s")
                        self.save_jx_blocks(code, blocks, current_limit_up_blocks)
                        # 跟随精选板块一起更新
                        self.load_jx_blocks_radical(code)
                    else:
                        # 还没涨停的需要更新精选板块 更新精选板块
                        if abs(float(buy_1_price) - float(limit_up_price)) >= 0.001:
                            # 非涨停状态
                            UPDATE_TIME_SPACE = 5 * 60
                            time_diff = tool.trade_time_sub(tool.get_now_time_str(), "09:30:00")
                            if time_diff < 0:
                                UPDATE_TIME_SPACE = 60 * 60
                            else:
                                UPDATE_TIME_SPACE = int(time_diff / 30) + 60
                                if UPDATE_TIME_SPACE > 5 * 60:
                                    UPDATE_TIME_SPACE = 5 * 60
 
                            if time.time() - jx_blocks_info[1] > UPDATE_TIME_SPACE:
                                start_time = time.time()
                                # 距离上次更新时间过去了5分钟
                                blocks = kpl_api.getCodeBlocks(code)
                                async_log_util.info(logger_kpl_block_can_buy,
                                                    f"{code}:获取到精选板块(更新)-{blocks}  耗时:{int(time.time() - start_time)}s")
                                self.save_jx_blocks(code, blocks, current_limit_up_blocks)
                                # 跟随精选板块一起更新
                                self.load_jx_blocks_radical(code)
                elif price_rate > 0.03:
                    # 添加备用板块
                    if not self.get_jx_blocks_cache(code, by=True):
                        start_time = time.time()
                        blocks = kpl_api.getCodeBlocks(code)
                        self.save_jx_blocks(code, blocks, current_limit_up_blocks, by=True)
                        async_log_util.info(logger_kpl_block_can_buy,
                                            f"{code}:获取到精选板块(备用)-{blocks}  耗时:{int(time.time() - start_time)}s")
                        # 跟随精选板块一起更新
                        self.load_jx_blocks_radical(code)
 
                if price_rate > 0.03:
                    if not self.__code_blocks_for_radical_buy.get(code):
                        self.load_jx_blocks_radical(code)
        except Exception as e:
            logger_kpl_block_can_buy.error(f"{code} 获取板块出错")
            logger_kpl_block_can_buy.exception(e)
 
    def load_jx_blocks_radical(self, code):
        start_time = time.time()
        blocks = kpl_api.getCodeJingXuanBlocks(code, jx=False)
        blocks = set([b[1] for b in blocks])
        # fblocks = BlockMapManager().filter_blocks(blocks)
        async_log_util.info(logger_kpl_block_can_buy,
                            f"{code}:获取到板块(激进买) 过滤前-{blocks} 耗时:{int(time.time() - start_time)}s")
        self.save_jx_blocks_for_radical_buy(code, list(blocks))
 
 
# 禁止下单的板块
class ForbiddenBlockManager:
    __db = 3
    __redisManager = redis_manager.RedisManager(3)
    __instance = None
    __forbidden_blocks = set()
 
    def __new__(cls, *args, **kwargs):
        if not cls.__instance:
            cls.__instance = super(ForbiddenBlockManager, cls).__new__(cls, *args, **kwargs)
            cls.__load_data()
        return cls.__instance
 
    @classmethod
    def __get_redis(cls):
        return cls.__redisManager.getRedis()
 
    # 加载数据
    @classmethod
    def __load_data(cls):
        blocks = cls.__get_redis().smembers("forbidden_blocks")
        if blocks:
            for b in blocks:
                cls.__forbidden_blocks.add(b)
 
    def add(self, block):
        self.__forbidden_blocks.add(block)
        RedisUtils.sadd_async(self.__db, "forbidden_blocks", block)
        RedisUtils.expire_async(self.__db, "forbidden_blocks", tool.get_expire())
 
    def remove(self, block):
        if block in self.__forbidden_blocks:
            self.__forbidden_blocks.remove(block)
        RedisUtils.srem_async(self.__db, "forbidden_blocks", block)
 
    def get_blocks(self):
        return copy.deepcopy(self.__forbidden_blocks)
 
    def is_in(self, block):
        return block in self.__forbidden_blocks
 
 
# 开盘啦禁止交易板块管理
class KPLPlateForbiddenManager:
    __redisManager = redis_manager.RedisManager(3)
    __kpl_forbidden_plates_cache = set()
 
    __instance = None
 
    def __new__(cls, *args, **kwargs):
        if not cls.__instance:
            cls.__instance = super(KPLPlateForbiddenManager, cls).__new__(cls, *args, **kwargs)
            cls.__load_datas()
        return cls.__instance
 
    @classmethod
    def __load_datas(cls):
        __redis = cls.__get_redis()
        try:
            __kpl_forbidden_plates_cache = RedisUtils.smembers(__redis, "kpl_forbidden_plates")
        finally:
            RedisUtils.realse(__redis)
 
    @classmethod
    def __get_redis(cls):
        return cls.__redisManager.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())
 
    def list_all(self):
        return RedisUtils.smembers(self.__get_redis(), "kpl_forbidden_plates")
 
    def list_all_cache(self):
        return self.__kpl_forbidden_plates_cache
 
 
class LimitUpCodesPlateKeyManager:
    # 今日涨停原因
    today_limit_up_reason_dict = {}
    __today_total_limit_up_reason_dict = {}
    total_code_keys_dict = {}
    total_key_codes_dict = {}
    __redisManager = redis_manager.RedisManager(1)
 
    def __get_redis(self):
        return self.__redisManager.getRedis()
 
    # 获取今日涨停数据,格式:[(代码,涨停原因,精选板块列表)]
    def set_today_limit_up(self, datas):
        temp_dict = {}
        if datas:
            for item in datas:
                temp_dict[item[0]] = item[1]
            self.today_limit_up_reason_dict = temp_dict
        if datas:
            for item in datas:
                self.__set_total_keys(item[0])
        self.set_today_total_limit_up(datas)
 
    # 设置今日历史涨停数据
    # 格式:(代码,涨停原因,精选板块列表)
    @classmethod
    def set_today_total_limit_up(cls, datas):
        for item in datas:
            code = item[0]
            # 设置涨停代码的板块及原因
            cls.__today_total_limit_up_reason_dict[code] = (item[1], item[2])
 
    @classmethod
    def get_today_limit_up_reason(cls, code):
        return cls.__today_total_limit_up_reason_dict.get(code)
 
    # 设置代码的今日涨停原因
    def __set_total_keys(self, code):
        keys = set()
        # keys_his = self.__get_redis().smembers(f"kpl_limit_up_reason_his-{code}")
        # keys |= keys_his
        if code in self.today_limit_up_reason_dict:
            if self.today_limit_up_reason_dict.get(code) not in constant.KPL_INVALID_BLOCKS:
                keys.add(self.today_limit_up_reason_dict.get(code))
        self.total_code_keys_dict[code] = keys
        for k in keys:
            if k not in self.total_key_codes_dict:
                self.total_key_codes_dict[k] = set()
            self.total_key_codes_dict[k].add(code)
 
        # logger_kpl_limit_up.info("{}板块关键词:{}", code, keys)
 
    # 根据传入的关键词与涨停代码信息匹配身位
 
    def get_codes_by_key_without_mine(self, key, code):
        # 只比较今日涨停原因
        codes_set = set()
        if key in self.total_key_codes_dict:
            codes_set |= self.total_key_codes_dict[key]
        codes_set.discard(code)
        return codes_set
 
    # 涨停原因匹配关键字(和涨停列表中的涨停原因做对比),返回:{关键词:代码集合}
    def match_limit_up_reason_keys(self, code, keys):
        fresult = {}
        for k in keys:
            if k in self.total_key_codes_dict:
                codes = set(self.total_key_codes_dict[k])
                codes.discard(code)
                if codes:
                    fresult[k] = codes
        return fresult
 
 
 
 
# 实时开盘啦市场数据
class RealTimeKplMarketData:
    # 精选前5
    top_5_reason_list = []
    # 行业前5
    top_5_industry_list = []
    #
    top_5_key_dict = {}
    total_reason_dict = {}
    total_industry_dict = {}
    __KPLPlateForbiddenManager = KPLPlateForbiddenManager()
    __LimitUpCodesPlateKeyManager = LimitUpCodesPlateKeyManager()
    __KPLPlatManager = KPLPlatManager()
    # 精选流入前几
    __top_jx_blocks = set()
    # 精选流出前几
    __top_jx_out_blocks = set()
 
    @classmethod
    def set_market_jingxuan_blocks(cls, datas):
        """
        设置精选流入数据
        @param datas:
        @return:
        """
        blocks = set()
        for data in datas:
            if data[3] <= 0:
                break
            blocks.add(data[1])
        cls.__top_jx_blocks = blocks
 
    @classmethod
    def set_market_jingxuan_out_blocks(cls, datas):
        """
        设置精选流出数据
        @param datas:
        @return:
        """
        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:
                # 过滤5千万以上的
                break
            blocks.add(kpl_util.filter_block(data[1]))
 
        # 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
 
    @classmethod
    def get_top_market_jingxuan_blocks(cls):
        return cls.__top_jx_blocks
 
    @classmethod
    def get_top_market_jingxuan_out_blocks(cls):
        return cls.__top_jx_out_blocks
 
    @classmethod
    def set_top_5_industry(cls, datas):
        for d in datas:
            cls.total_industry_dict[d[1]] = d
        temp_list = []
        for i in range(0, len(datas)):
            if datas[i][1] in constant.KPL_INVALID_BLOCKS:
                continue
            temp_list.append((datas[i][1], datas[i][2], len(temp_list)))
            if len(temp_list) > 10:
                break
            if datas[i][2] < 3 * 10000 * 10000:
                break
        cls.top_5_industry_list = temp_list
        cls.__reset_top_5_dict()
 
    @classmethod
    def __reset_top_5_dict(cls):
        temp_dict = {}
        for t in cls.top_5_industry_list:
            temp_dict[t[0]] = t
        for t in cls.top_5_reason_list:
            temp_dict[t[0]] = t
        cls.top_5_key_dict = temp_dict
 
    # 获取能够买的行业关键字set
    @classmethod
    def get_can_buy_key_set(cls):
        temp_set = cls.top_5_key_dict.keys()
        return temp_set
 
    @classmethod
    def is_in_top(cls, keys):
        reasons = cls.get_can_buy_key_set()
        forbidden_plates = cls.__KPLPlateForbiddenManager.list_all_cache()
        reasons = reasons - forbidden_plates
        temp_set = keys & reasons
        if temp_set:
            return True, temp_set
        else:
            return False, None
 
 
# 代码历史涨停原因与板块管理
class CodesHisReasonAndBlocksManager:
    __redisManager = redis_manager.RedisManager(1)
    # 历史涨停原因
    __history_limit_up_reason_dict = {}
    # 板块
    __blocks_dict = {}
 
    __instance = None
 
    def __new__(cls, *args, **kwargs):
        if not cls.__instance:
            cls.__instance = super(CodesHisReasonAndBlocksManager, cls).__new__(cls, *args, **kwargs)
 
        return cls.__instance
 
    def __get_redis(self):
        return self.__redisManager.getRedis()
 
    def set_history_limit_up_reason(self, code, reasons):
        self.__history_limit_up_reason_dict[code] = set(reasons)
        RedisUtils.setex(self.__get_redis(), f"kpl_his_limit_up_reason-{code}", tool.get_expire(),
                         json.dumps(list(reasons)))
 
    # 如果返回值不为None表示已经加载过历史原因了
    def get_history_limit_up_reason(self, code):
        reasons = self.__history_limit_up_reason_dict.get(code)
        if reasons is None:
            # 从内存中加载
            val = RedisUtils.get(self.__get_redis(), f"kpl_his_limit_up_reason-{code}")
            if val is not None:
                val = set(json.loads(val))
                self.__history_limit_up_reason_dict[code] = val
            if code in self.__history_limit_up_reason_dict:
                return self.__history_limit_up_reason_dict.get(code)
            else:
                return None
        else:
            return reasons
 
    def get_history_limit_up_reason_cache(self, code):
        reasons = self.__history_limit_up_reason_dict.get(code)
        return reasons
 
    def set_blocks(self, code, blocks):
        self.__blocks_dict[code] = set(blocks)
        RedisUtils.setex(self.__get_redis(), f"kpl_blocks-{code}", tool.get_expire(), json.dumps(list(blocks)))
 
    def get_blocks(self, code):
        reasons = self.__blocks_dict.get(code)
        if reasons is None:
            # 从内存中加载
            val = RedisUtils.get(self.__get_redis(), f"kpl_blocks-{code}")
            if val is not None:
                val = set(json.loads(val))
                self.__blocks_dict[code] = val
            if code in self.__blocks_dict:
                return self.__blocks_dict.get(code)
            else:
                return None
        else:
            return reasons
 
    def get_total_keys(self, code):
        reasons = self.get_history_limit_up_reason(code)
        if reasons is None:
            reasons = set()
        blocks = self.get_blocks(code)
        if blocks is None:
            blocks = set()
        return reasons | blocks
 
    __history_blocks_dict_cache = {}
 
    def get_history_blocks(self, code):
        """
        获取180天的历史涨停原因
        @param code:
        @return:
        """
        if code in self.__history_blocks_dict_cache:
            return self.__history_blocks_dict_cache.get(code)
        try:
            kpl_results = KPLLimitUpDataUtil.get_latest_block_infos(code=code)
            # 取最近2条数据
            if kpl_results and len(kpl_results) > 2:
                kpl_results = kpl_results[-2:]
            keys = set()
            if kpl_results:
                keys |= set([x[2] for x in kpl_results])
            for r in kpl_results:
                if r[3]:
                    keys |= set(r[3].split("、"))
            self.__history_blocks_dict_cache[code] = keys
            return keys
        except:
            pass
        return set()
 
    def get_history_blocks_cache(self, code):
        """
        获取180天的历史涨停原因缓存
        @param code:
        @return:
        """
        return self.__history_blocks_dict_cache.get(code)
 
 
# 目标代码板块关键词管理
class TargetCodePlateKeyManager:
    __redisManager = redis_manager.RedisManager(1)
    __CodesPlateKeysManager = CodesHisReasonAndBlocksManager()
    __KPLCodeJXBlockManager = KPLCodeJXBlockManager()
 
    def __get_redis(self):
        return self.__redisManager.getRedis()
 
    # 返回key集合(排除无效板块),今日涨停原因,今日历史涨停原因,历史涨停原因,二级,精选板块
    def get_plate_keys(self, code, contains_today=True):
        """
        获取代码的板块: (180天的涨停原因+推荐原因)+今日涨停原因+今日涨停推荐原因+今日推荐原因
        @param code:
        @return: (板块关键词集合,今日涨停原因+涨停推荐原因,今日历史涨停原因,历史涨停原因,精选板块)
        """
        keys = set()
        k1 = set()
 
        limit_up_reason_info = LimitUpCodesPlateKeyManager.get_today_limit_up_reason(code)
        if limit_up_reason_info:
            k1 = {limit_up_reason_info[0]} | set(limit_up_reason_info[1])
        # 加载今日历史原因,暂时不需要历史原因了
        k11 = set()  # RedisUtils.smembers(self.__get_redis(), f"kpl_limit_up_reason_his-{code}")
        k2 = self.__CodesPlateKeysManager.get_history_limit_up_reason_cache(code)
        if k2 is None:
            k2 = set()
 
        k3 = self.__CodesPlateKeysManager.get_history_blocks(code)
        if k3:
            keys |= k3
        # industry = global_util.code_industry_map.get(code)
        # if industry:
        #     k3 = {industry}
 
        k4 = set()
        jingxuan_block_info = self.__KPLCodeJXBlockManager.get_jx_blocks_cache(code)
        if not jingxuan_block_info:
            jingxuan_block_info = self.__KPLCodeJXBlockManager.get_jx_blocks_cache(code, by=True)
        if jingxuan_block_info:
            jingxuan_blocks = jingxuan_block_info[0]
            k4 |= set(jingxuan_blocks)  # set([x[1] for x in jingxuan_blocks])
        if k1 and contains_today:
            # 涨停过
            keys |= k1
 
        # 获取不到涨停原因
        if contains_today:
            keys |= k4
        keys = keys - set(constant.KPL_INVALID_BLOCKS)
        return keys, k1, k11, k2, k3, k4
 
    def get_plate_keys_for_radical_buy(self, code):
        """
        激进买入的板块
        @param code:
        @return:
        """
 
 
class CodePlateKeyBuyManager:
    # 无板块
    BLOCK_TYPE_NONE = -1
    # 一般板块
    BLOCK_TYPE_COMMON = 0
    # 强势板块
    BLOCK_TYPE_STRONG = 1
    # 猛拉板块
    BLOCK_TYPE_SOON_LIMIT_UP = 2
    # 潜伏板块
    BLOCK_TYPE_START_UP = 3
 
    __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
    def __is_need_active_buy(cls, code, block, current_rank, open_limit_up_count):
        """
        板块是否需要积极买入
        规则:根据身位判断是否需要积极买,根据时间划分
        @param code: 代码
        @param block: 板块名称
        @param current_rank: 目前在板块中的身位,从0开始
        @param open_limit_up_count: 开1的数量
        @return:
        """
 
        real_current_rank = max(current_rank - open_limit_up_count, 0)
 
        TIME_STR_RANGES = ["10:00:00", "10:30:00", "11:00:00", "13:00:00", "13:30:00", "14:00:00", "14:30:00",
                           "15:00:00"]
        TIME_INT_RANGES = [int(x.replace(':', '')) for x in TIME_STR_RANGES]
        MAX_RANKS = [3, 3, 2, 2, 1, 0, 0, 0]
        now_time_str = tool.get_now_time_str().replace(':', '')
        for i in range(len(TIME_INT_RANGES)):
            if int(now_time_str) <= TIME_INT_RANGES[i]:
                if MAX_RANKS[i] > real_current_rank:
                    return True
                break
        return False
 
    # 返回内容(是否可买, 是否为独苗, 描述信息, 是否为强势主线, 是否需要积极买)
    @classmethod
    def __is_block_can_buy(cls, code, block, current_limit_up_datas, code_limit_up_reasons_dict,
                           yesterday_current_limit_up_codes, limit_up_record_datas, current_limit_up_block_codes_dict,
                           high_level_code_blocks=None, high_level_block_codes=None):
        # 独苗判断
        if high_level_code_blocks is None:
            high_level_code_blocks = {}
        if high_level_block_codes is None:
            high_level_block_codes = {}
        block_codes = current_limit_up_block_codes_dict.get(block)
        if block_codes is None:
            block_codes = set()
 
        if not block_codes:
            # 高位板泛化板块中无板块
            if not high_level_block_codes.get(block):
                return False, True, f"【{block}】:板块无涨停", False, False
        elif len(block_codes) == 1 and code in block_codes:
            if not high_level_block_codes.get(block):
                return False, True, f"{block}:板块只有当前代码涨停", False, False
        # 可以买的最大排名
        # open_limit_up_codes = kpl_block_util.get_shsz_open_limit_up_codes(code, block, limit_up_record_datas,
        #                                                                   code_limit_up_reason_dict)
        current_open_limit_up_codes = kpl_block_util.get_shsz_open_limit_up_codes_current(code, block,
                                                                                          current_limit_up_datas)
 
        # ---------------------------判断强势主线-------------------------
        is_strong_block = False
        for d in current_limit_up_datas:
            bs = kpl_util.get_current_limit_up_reasons(d)
            if block not in bs:
                general_blocks = high_level_code_blocks.get(d[0])
                if not general_blocks or block not in general_blocks:
                    # 没在泛化板块中
                    continue
            count = kpl_util.get_high_level_count(d[4])
            if count >= 3:
                if d[4].find("连板") > 0:
                    is_strong_block = True
                    break
                elif d[0] in yesterday_current_limit_up_codes and len(block_codes) >= 2:
                    # 几天几板,且最近2连板
                    # 看是否有首板后排
                    is_strong_block = True
                    break
 
        if not is_strong_block:
            temp_block_codes = set(copy.deepcopy(block_codes))
            temp_block_codes.discard(code)
            if len(temp_block_codes) >= 3:
                is_strong_block = True
        max_rank = 2
        #  强势板块买老四
        if is_strong_block:
            max_rank = 3
 
        # 需要排除的老大的代码
        exclude_first_codes = set()  # HighIncreaseCodeManager().list_all()
 
        # 获取主板开1的代码
 
        # 剔除高位板
        if current_open_limit_up_codes and yesterday_current_limit_up_codes:
            current_open_limit_up_codes -= yesterday_current_limit_up_codes
 
        # 获取代码的初次涨停时间
        first_limit_up_time = time.time()
        # if limit_up_record_datas:
        for r in limit_up_record_datas:
            if r[3] == code:
                first_limit_up_time = int(r[5])
 
        # 获取主板实时身位,剔除高位板
        current_shsz_rank, front_current_shsz_rank_codes = kpl_block_util.get_code_current_rank(code, block,
                                                                                                current_limit_up_datas,
                                                                                                code_limit_up_reasons_dict,
                                                                                                yesterday_current_limit_up_codes,
                                                                                                exclude_first_codes,
                                                                                                len(
                                                                                                    current_open_limit_up_codes),
                                                                                                shsz=True,
                                                                                                limit_up_time=first_limit_up_time)
        # 计算是否需要积极买入
        is_active_buy = cls.__is_need_active_buy(code, block, current_shsz_rank, len(current_open_limit_up_codes))
 
        # record_shsz_rank, record_shsz_rank_codes = kpl_block_util.get_code_record_rank(code, block,
        #                                                                                limit_up_record_datas,
        #                                                                                code_limit_up_reason_dict,
        #                                                                                yesterday_current_limit_up_codes,
        #                                                                                shsz=True)
        if int(tool.get_now_time_str().replace(":", "")) <= int("094000") and is_strong_block:
            # 强势主线加强势10分钟
            return True, False, f"【{block}】:强势主线+强势10分钟", is_strong_block, is_active_buy
 
        if current_shsz_rank < len(current_open_limit_up_codes) + max_rank:
            return True, False, f"【{block}】前排代码:{current_shsz_rank}", is_strong_block, is_active_buy
        else:
            # k_format = code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code)
            # if k_format and k_format[8][0]:
            #     # 具有辨识度
            #     return True, False, f"【{block}】具有辨识度", is_strong_block
            # 看自由流通市值是否小于20亿
            if is_strong_block and current_shsz_rank < len(current_open_limit_up_codes) + max_rank + 1:
                zyltgb_as_yi = round(global_util.zyltgb_map.get(code) / 100000000,
                                     2) if code in global_util.zyltgb_map else None
                situation = MarketSituationManager().get_situation_cache()
                zylt_threshold_as_yi = buy_condition_util.get_zyltgb_threshold(situation)
                if zyltgb_as_yi and zylt_threshold_as_yi[2] <= zyltgb_as_yi <= zylt_threshold_as_yi[3]:
                    return True, False, f"【{block}】强势板块 自由流通市值({zyltgb_as_yi})大于{zylt_threshold_as_yi[2]}亿 小于{zylt_threshold_as_yi[3]}亿", is_strong_block, is_active_buy
            return False, False, f"【{block}】前排代码:{front_current_shsz_rank_codes} 超过{len(current_open_limit_up_codes) + max_rank}个", is_strong_block, is_active_buy
 
        # 过时的代码
        # if open_limit_up_codes:
        #     # 主板开1
        #     if current_shsz_rank < len(open_limit_up_codes) + 1 and record_shsz_rank < len(open_limit_up_codes) + 2:
        #         # 属于龙1,龙2
        #         return True, f"{tool.get_now_time_str()} {block}:top10涨停板块,主板开1({open_limit_up_codes}),属于主板前龙{len(open_limit_up_codes) + 1}(实时身位-{current_shsz_rank}:{front_current_shsz_rank_codes}/{len(current_limit_up_datas)})"
        #     else:
        #         if record_shsz_rank >= len(open_limit_up_codes) + 1:
        #             cls.__remove_from_l2(code, f"{code}根据身位禁止买入:【{block}】历史身位{record_shsz_rank}")
        #         return False, f"板块-{block}: top4涨停板块,主板开1({open_limit_up_codes}),不为主板前龙{len(open_limit_up_codes) + 1}(实时身位-{current_shsz_rank}:{front_current_shsz_rank_codes},历史身位-{record_shsz_rank})"
        # else:
        #     if current_shsz_rank == 0 and record_shsz_rank < 2:
        #         return True, f"{tool.get_now_time_str()} {block}:top4涨停板块,非主板开1,属于龙1,实时涨停列表数量({len(current_limit_up_datas)})"
        #     else:
        #         if record_shsz_rank >= 2:
        #             cls.__remove_from_l2(code, f"{code}根据身位禁止买入:【{block}】历史身位{record_shsz_rank}")
        #
        #         return False, f"板块-{block}: top4涨停板块,非主板开1,不为主板龙1(实时身位-{current_shsz_rank}:{front_current_shsz_rank_codes},历史身位-{record_shsz_rank})"
 
    @classmethod
    def __is_block_can_buy_new(cls, code, block, current_limit_up_datas, code_limit_up_reasons_dict,
                               yesterday_current_limit_up_codes, limit_up_record_datas,
                               current_limit_up_block_codes_dict,
                               high_level_code_blocks=None, high_level_block_codes=None):
        """
        该票的板块是否可以买
        @param code:
        @param block:
        @param current_limit_up_datas:
        @param code_limit_up_reasons_dict:
        @param yesterday_current_limit_up_codes:
        @param limit_up_record_datas:
        @param current_limit_up_block_codes_dict:
        @param high_level_code_blocks:
        @param high_level_block_codes:
        @return:
        """
        # 独苗判断
        if high_level_code_blocks is None:
            high_level_code_blocks = {}
        if high_level_block_codes is None:
            high_level_block_codes = {}
        block_codes = current_limit_up_block_codes_dict.get(block)
        if block_codes is None:
            block_codes = set()
        # 历史涨停代码
        block_codes_records = set()
        if limit_up_record_datas:
            for k in limit_up_record_datas:
                if block in code_limit_up_reasons_dict.get(k[3]):
                    block_codes_records.add(k[3])
 
        if not block_codes:
            # 高位板泛化板块中无板块
            if not high_level_block_codes.get(block):
                return False, True, f"【{block}】:板块无涨停", False, False, 0, 0, 0
        elif len(block_codes) == 1 and code in block_codes:
            if not high_level_block_codes.get(block):
                return False, True, f"{block}:板块只有当前代码涨停", False, False, 0, 0, 0
        # 可以买的最大排名
        # open_limit_up_codes = kpl_block_util.get_shsz_open_limit_up_codes(code, block, limit_up_record_datas,
        #                                                                   code_limit_up_reason_dict)
        current_open_limit_up_codes = kpl_block_util.get_shsz_open_limit_up_codes_current(code, block,
                                                                                          current_limit_up_datas)
 
        is_strong_block = False
 
        # 最多买老几
        RANKS = [6, 5, 4, 4, 3, 3, 2]
        RANK_TIMES = ["10:00:00", "10:30:00", "11:00:00", "11:30:00", "13:30:00", "14:00:00", "15:00:00"]
        now_time_str = tool.get_now_time_str()
        max_rank = 2
        for i in range(len(RANK_TIMES)):
            if tool.trade_time_sub(now_time_str, RANK_TIMES[i]) <= 0:
                max_rank = RANKS[i]
                break
 
        # 需要排除的老大的代码
        exclude_first_codes = set()
 
        # 获取主板开1的代码
 
        # 剔除高位板
        if current_open_limit_up_codes and yesterday_current_limit_up_codes:
            current_open_limit_up_codes -= yesterday_current_limit_up_codes
 
        # 获取代码的初次涨停时间
        first_limit_up_time = time.time()
        # if limit_up_record_datas:
        for r in limit_up_record_datas:
            if r[3] == code:
                first_limit_up_time = int(r[5])
 
        # 获取主板实时身位,剔除高位板
        current_shsz_rank, front_current_shsz_rank_codes = kpl_block_util.get_code_current_rank(code, block,
                                                                                                current_limit_up_datas,
                                                                                                code_limit_up_reasons_dict,
                                                                                                yesterday_current_limit_up_codes,
                                                                                                exclude_first_codes,
                                                                                                len(
                                                                                                    current_open_limit_up_codes),
                                                                                                shsz=True,
                                                                                                limit_up_time=first_limit_up_time)
 
        # 计算是否需要积极买入
        is_active_buy = cls.__is_need_active_buy(code, block, current_shsz_rank, len(current_open_limit_up_codes))
 
        if current_shsz_rank < len(current_open_limit_up_codes) + max_rank:
            return True, len(block_codes | {
                code}) <= 1, f"【{block}】前排代码:{current_shsz_rank}", is_strong_block, is_active_buy, current_shsz_rank, len(
                block_codes), len(block_codes_records)
        else:
            return False, len(block_codes | {
                code}) <= 1, f"【{block}】前排代码:{front_current_shsz_rank_codes} 超过{len(current_open_limit_up_codes) + max_rank}个", is_strong_block, is_active_buy, current_shsz_rank, len(
                block_codes), len(block_codes_records)
 
    # 获取可以买的板块
    # current_limit_up_datas: 今日实时涨停
    # latest_2_day_limit_up_datas:最近2天的实时涨停(不含今日)
    # limit_up_record_datas:今日历史涨停
    # yesterday_current_limit_up_codes : 昨日涨停代码
    # before_blocks_dict:历史涨停原因
    # 返回板块的计算结果[(板块名称,是否可买,是否是独苗,信息)]
 
    @classmethod
    def get_can_buy_block(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,
                          high_level_general_block_codes):
        # 加载涨停代码的目标板块
        def load_code_block():
            if limit_up_record_datas:
                # 获取今日9:30以前的时间
                time_str = datetime.datetime.now().strftime("%Y-%m-%d") + " 09:30:00"
                timestamp = time.mktime(time.strptime(time_str, '%Y-%m-%d %H:%M:%S'))
 
                for d in limit_up_record_datas:
                    if d[2] in constant.KPL_INVALID_BLOCKS and d[3] in before_blocks_dict:
                        code_limit_up_reasons_dict[d[3]] = {list(before_blocks_dict.get(d[3]))[0]}
                    else:
                        code_limit_up_reasons_dict[d[3]] = {d[2]}
                        # 开1才能包含推荐原因
                        if d[6] and int(d[5]) < timestamp:
                            code_limit_up_reasons_dict[d[3]] |= set(d[6].split("、"))
            return code_limit_up_reasons_dict
 
        if current_limit_up_datas is None:
            current_limit_up_datas = []
 
        # 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)
 
        # log.logger_kpl_debug.info("{}最终关键词:{}", code, keys)
 
        # 涨停列表中匹配关键词,返回(板块:代码集合),代码集合中已经排除自身
 
        fresults = []
        if not keys:
            return fresults, set()
 
        code_limit_up_reasons_dict = {}
        load_code_block()
        for block in keys:
            can_buy, unique, msg, is_strong, is_active_buy, current_rank, block_limit_up_count, block_limit_up_record_count = cls.__is_block_can_buy_new(
                code, block,
                current_limit_up_datas,
                code_limit_up_reasons_dict,
                yesterday_current_limit_up_codes,
                limit_up_record_datas,
                current_limit_up_block_codes_dict,
                high_level_code_blocks=high_level_general_code_blocks,
                high_level_block_codes=high_level_general_block_codes)
            fresults.append((block, can_buy, unique, msg, is_strong, is_active_buy, current_rank, block_limit_up_count,
                             block_limit_up_record_count))
        return fresults, keys
 
    # 是否可以下单
    # 返回:可以买的板块,是否独苗,消息
    #  可买的板块, 是否独苗, 消息, 可买的强势板块, 关键词, 积极买的板块
    @classmethod
    def can_buy(cls, code):
        if constant.TEST:
            return [("测试", 0, 1, 1)], True, cls.BLOCK_TYPE_NONE, [], set(), ["化工"]
        # if True:
        #     # 测试
        #     return True, "不判断板块身位"
        return cls.__can_buy_compute_result_dict.get(code)
 
    # 返回:(可以买的板块列表, 是否是独苗, 消息简介,可买的强势主线, 积极买入板块列表)
    @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):
        # 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:
            blocks = high_level_general_code_blocks[c]
            for b in blocks:
                if b not in high_level_general_block_codes:
                    high_level_general_block_codes[b] = set()
                high_level_general_block_codes[b].add(c)
        blocks_compute_results, keys = cls.get_can_buy_block(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,
                                                             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 = {}
        # 已经成交的板块
        trade_success_blocks_count = {}
        trade_delegate_blocks_count = {}
        for c in codes:
            keys_, k1_, k11_, k2_, k3_, k4_ = cls.__TargetCodePlateKeyManager.get_plate_keys(c)
            # 实时涨停原因 + 推荐原因
            if not k1_:
                trade_codes_blocks_dict[c] = k4_
            else:
                trade_codes_blocks_dict[c] = k1_
        # 统计板块中的代码
        trade_block_codes_dict = {}
        for c in trade_codes_blocks_dict:
            for b in trade_codes_blocks_dict[c]:
                if c in codes_success:
                    if b not in trade_success_blocks_count:
                        trade_success_blocks_count[b] = set()
                    trade_success_blocks_count[b].add(c)
                if c in codes_delegate:
                    if b not in trade_delegate_blocks_count:
                        trade_delegate_blocks_count[b] = set()
                    trade_delegate_blocks_count[b].add(c)
 
                if b not in trade_block_codes_dict:
                    trade_block_codes_dict[b] = set()
                trade_block_codes_dict[b].add(c)
 
        # ---------------------------------加载已经下单/成交的代码信息------------end-------------
 
        #
        can_buy_blocks = []
        can_buy_strong_blocks = []
        unique_count = 0
        msg_list = []
        active_buy_blocks = []
        for r in blocks_compute_results:
            # r的数据结构(板块,是否可以买,是否独苗,消息,是否是强势板块, 积极买入信息)
            if r[2]:
                # 独苗
                unique_count += 1
            if r[1]:
                # 强势主线最多同时挂3只票,最多成交2只票
                MAX_DELEGATE_COUNT = 3 if r[4] else 2
                MAX_DEAL_COUNT = 2 if r[4] else 1
                # if r[0] in trade_success_blocks_count and len(trade_success_blocks_count[r[0]]) >= MAX_DEAL_COUNT:
                #     msg_list.append(f"【{r[0]}】有成交代码:{trade_success_blocks_count[r[0]]}")
                #     continue
                # if r[0] in trade_delegate_blocks_count and len(trade_delegate_blocks_count[r[0]]) >= MAX_DELEGATE_COUNT:
                #     msg_list.append(f"【{r[0]}】已挂单:{trade_delegate_blocks_count[r[0]]}")
                #     continue
                if len(r) > 8:
                    can_buy_blocks.append((r[0], r[6], r[7], r[8]))
                else:
                    # (板块名称,身位,板块涨停数量)
                    can_buy_blocks.append((r[0], 0, 1, 1))
                if r[4]:
                    can_buy_strong_blocks.append(r[0])
                if r[3]:
                    msg_list.append(r[3])
                if r[5]:
                    active_buy_blocks.append(r[0])
                    msg_list.append(f"【{r[0]}】积极买入({r[5]})")
            else:
                if r[3]:
                    msg_list.append(r[3])
        # 所有板块都是独苗
        if unique_count == len(blocks_compute_results):
            return can_buy_blocks, True, ",".join(msg_list), can_buy_strong_blocks, keys, active_buy_blocks
        return can_buy_blocks, False, ",".join(msg_list), can_buy_strong_blocks, keys, active_buy_blocks
 
    # 更新代码板块判断是否可以买的结果
    # high_level_general_code_blocks 高位泛化板块
    @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):
        yesterday_current_limit_up_codes = set()
        yesterday_current_limit_up_records_dict = {}
        yesterday_current_limit_up_records = latest_current_limit_up_records[0][1]
        if yesterday_current_limit_up_records:
            for r in yesterday_current_limit_up_records:
                yesterday_current_limit_up_codes.add(r[0])
                yesterday_current_limit_up_records_dict[r[0]] = r
        high_level_general_code_blocks = {}
        # 是否是3板及以上的高位板
        for r in current_limit_up_datas:
            count = kpl_util.get_high_level_count(r[4])
            if count >= 3 and r[0] in yesterday_current_limit_up_codes:
                latest_datas = latest_current_limit_up_records[:count - 1]
                # 是高位板
                # 当日精选
                blocks = set(r[6].split("、"))
                for d in latest_datas:
                    for dd in d[1]:
                        if dd[0] == r[0]:
                            blocks.add(dd[5])
                            break
                f_blocks = []
                for b in blocks:
                    if b:
                        f_blocks.append(b)
                high_level_general_code_blocks[r[0]] = f_blocks
 
        can_buy_blocks, unique, msg, can_buy_strong_blocks, keys, active_buy_blocks = cls.__compute_can_buy_blocks(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)
        # 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)
        # 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 __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)
        # 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
 
    @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))
        return can_buy_blocks, " **** ".join(fmsges)
 
 
if __name__ == "__main__":
    pass