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2025-03-24 d2aefca018e8a66f7aed54e7cf03f1cb54d65926
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import copy
import logging
import threading
import time
import time as t
 
from cancel_strategy.s_l_h_cancel_strategy import HourCancelBigNumComputer, LCancelRateManager
from cancel_strategy.s_l_h_cancel_strategy import LCancelBigNumComputer
from cancel_strategy.s_l_h_cancel_strategy import SCancelBigNumComputer
from code_attribute import big_money_num_manager, code_volumn_manager, code_data_util, limit_up_time_manager, \
    gpcode_manager, code_nature_analyse
import constant
from db.redis_manager_delegate import RedisUtils
from l2.huaxin import l2_huaxin_util, huaxin_delegate_postion_manager
from l2.l2_limitup_sell_data_manager import L2LimitUpSellDataManager
from l2.l2_sell_manager import L2MarketSellManager, L2LimitUpSellManager
from l2.l2_transaction_data_manager import HuaXinSellOrderStatisticManager, BigOrderDealManager, HuaXinBuyOrderManager
from l2.place_order_single_data_manager import L2TradeSingleDataProcessor
from log_module import async_log_util, log_export
from third_data import kpl_data_manager, block_info
from third_data.kpl_data_constant import LimitUpDataConstant
from trade.buy_radical.block_special_codes_manager import BlockSpecialCodesManager
from trade.buy_radical.radical_buy_data_manager import EveryLimitupBigDealOrderManager
from utils import global_util, tool, buy_condition_util, buy_strategy_util, trade_util
import l2_data_util
from db import redis_manager_delegate as redis_manager
from third_data.code_plate_key_manager import CodePlateKeyBuyManager, KPLCodeJXBlockManager
from trade import trade_manager, trade_queue_manager, l2_trade_factor, l2_trade_util, \
    trade_result_manager, current_price_process_manager, trade_data_manager, trade_huaxin, trade_record_log_util, \
    trade_constant, buy_open_limit_up_strategy
from trade.buy_radical import radical_buy_data_manager, radical_buy_strategy
from l2 import l2_data_manager, l2_log, l2_data_source_util, code_price_manager, \
    transaction_progress, cancel_buy_strategy, place_order_single_data_manager
from l2.cancel_buy_strategy import DCancelBigNumComputer, \
    LatestCancelIndexManager, \
    NewGCancelBigNumComputer, JCancelBigNumComputer, L2DataComputeUtil, RDCancelBigNumComputer
from l2.l2_data_manager import L2DataException, OrderBeginPosInfo
from l2.l2_data_util import local_today_datas, L2DataUtil, local_today_num_operate_map, local_today_buyno_map, \
    local_latest_datas, local_today_canceled_buyno_map, local_today_sellno_map
import l2.l2_data_util
from log_module.log import logger_l2_trade_buy, logger_l2_process, logger_l2_error, logger_debug, \
    logger_l2_not_buy_reasons, logger_real_place_order_position, logger_l2_trade_buy_queue
 
from trade.trade_data_manager import CodeActualPriceProcessor, PlaceOrderCountManager, AccountMoneyManager, \
    RadicalBuyDealCodesManager
 
from trade.trade_manager import TradeTargetCodeModeManager, CodesTradeStateManager
 
from settings.trade_setting import MarketSituationManager, TradeBlockBuyModeManager
 
import concurrent.futures
 
 
class L2DataManager:
    # 格式化数据
    def format_data(self, datas):
        format_datas = []
        for data in datas:
            format_datas.append({"val": data, "re": 1})
        return format_datas
 
    # 获取新增数据
    def get_add_datas(self, format_datas):
        pass
 
    # 从数据库加载数据
    def load_data(self, code=None, force=False):
        pass
 
    # 保存数据
    def save_datas(self, add_datas, datas):
        pass
 
 
# m值大单处理
 
 
class L2BigNumForMProcessor:
    _db = 1
    _redis_manager = redis_manager.RedisManager(1)
    m_big_money_begin_cache = {}
    m_big_money_process_index_cache = {}
    __instance = None
 
    def __new__(cls, *args, **kwargs):
        if not cls.__instance:
            cls.__instance = super(L2BigNumForMProcessor, cls).__new__(cls, *args, **kwargs)
            cls.__load_datas()
        return cls.__instance
 
    @classmethod
    def __get_redis(cls):
        return cls._redis_manager.getRedis()
 
    @classmethod
    def __load_datas(cls):
        _redis = cls._redis_manager.getRedis()
        try:
            keys = RedisUtils.keys(_redis, "m_big_money_begin-*")
            for k in keys:
                code = k.split("-")[-1]
                val = RedisUtils.get(_redis, k)
                tool.CodeDataCacheUtil.set_cache(cls.m_big_money_begin_cache, code, int(val))
 
            keys = RedisUtils.keys(_redis, "m_big_money_process_index-*")
            for k in keys:
                code = k.split("-")[-1]
                val = RedisUtils.get(_redis, k)
                tool.CodeDataCacheUtil.set_cache(cls.m_big_money_process_index_cache, code, int(val))
 
 
 
        finally:
            RedisUtils.realse(_redis)
 
    # 保存计算开始位置
    def set_begin_pos(self, code, index):
        if self.__get_begin_pos_cache(code) is None:
            tool.CodeDataCacheUtil.set_cache(self.m_big_money_begin_cache, code, index)
            # 保存位置
            key = "m_big_money_begin-{}".format(code)
            RedisUtils.setex_async(self._db, key, tool.get_expire(), index)
 
    # 获取计算开始位置
    def __get_begin_pos(self, code):
        key = "m_big_money_begin-{}".format(code)
        val = RedisUtils.get(self.__get_redis(), key)
        if val is None:
            return None
        return int(val)
 
    def __get_begin_pos_cache(self, code):
        cache_result = tool.CodeDataCacheUtil.get_cache(self.m_big_money_begin_cache, code)
        if cache_result[0]:
            return cache_result[1]
        return None
 
    # 清除已经处理的数据
    def clear_processed_end_index(self, code):
        tool.CodeDataCacheUtil.clear_cache(self.m_big_money_process_index_cache, code)
        key = "m_big_money_process_index-{}".format(code)
        RedisUtils.delete_async(self._db, key)
 
    # 添加已经处理过的单
    def __set_processed_end_index(self, code, index):
        tool.CodeDataCacheUtil.set_cache(self.m_big_money_process_index_cache, code, index)
        key = "m_big_money_process_index-{}".format(code)
        RedisUtils.setex_async(self._db, key, tool.get_expire(), index)
 
    # 是否已经处理过
    def __get_processed_end_index(self, code):
        key = "m_big_money_process_index-{}".format(code)
        val = RedisUtils.get(self.__get_redis(), key)
        if val is None:
            return None
        return int(val)
 
    def __get_processed_end_index_cache(self, code):
        cache_result = tool.CodeDataCacheUtil.get_cache(self.m_big_money_process_index_cache, code)
        if cache_result[0]:
            return cache_result[1]
        return None
 
    # 处理大单
    def process(self, code, start_index, end_index, limit_up_price):
 
        begin_pos = self.__get_begin_pos_cache(code)
        if begin_pos is None:
            # 没有获取到开始买入信号
            return
        # 上次处理到的坐标
        processed_index = self.__get_processed_end_index_cache(code)
        if processed_index is None:
            processed_index = 0
        if processed_index >= end_index:
            return
 
        start_time = round(t.time() * 1000)
        total_datas = local_today_datas[code]
 
        num_splites = [round(5000 / limit_up_price), round(10000 / limit_up_price), round(20000 / limit_up_price),
                       round(30000 / limit_up_price)]
        total_num = 0
        buyno_map = local_today_buyno_map.get(code)
        for i in range(max(start_index, processed_index), end_index + 1):
            data = total_datas[i]
            if not L2DataUtil.is_limit_up_price_buy_cancel(data["val"]) and not L2DataUtil.is_limit_up_price_buy(
                    data["val"]):
                continue
            # 如果是涨停买撤信号需要看数据位置是否比开始处理时间早
            if L2DataUtil.is_limit_up_price_buy_cancel(data["val"]):
                # 获取买入信号
                buy_index = l2_data_source_util.L2DataSourceUtils.get_buy_index_with_cancel_data_v2(total_datas[i], buyno_map)
                if buy_index is not None and buy_index < begin_pos:
                    continue
 
            # 计算成交金额
            num = int(data["val"]["num"])
            temp = 0
            if num < num_splites[0]:
                pass
            elif num < num_splites[1]:
                temp = 1
            elif num < num_splites[2]:
                temp = round(4 / 3, 3)
            elif num < num_splites[3]:
                temp = 2
            else:
                temp = 4
            count = int(temp * data["re"] * 1000)
            if L2DataUtil.is_limit_up_price_buy_cancel(data["val"]):
                count = 0 - count
            total_num += count
        self.__set_processed_end_index(code, end_index)
        big_money_num_manager.add_num(code, total_num)
 
        # print("m值大单计算范围:{}-{}  时间:{}".format(max(start_index, processed_index), end_index,
        #                                      round(t.time() * 1000) - start_time))
 
 
class L2TradeDataProcessor:
    unreal_buy_dict = {}
    volume_rate_info = {}
    # 最近的闪电下单位置,格式为{code:(总卖时间,总卖额)}
    __latest_fast_place_order_info_dict = {}
    __codeActualPriceProcessor = CodeActualPriceProcessor()
    __ths_l2_trade_queue_manager = trade_queue_manager.thsl2tradequeuemanager()
    __thsBuy1VolumnManager = trade_queue_manager.THSBuy1VolumnManager()
    __l2PlaceOrderParamsManagerDict = {}
    __last_buy_single_dict = {}
    __TradeBuyQueue = transaction_progress.TradeBuyQueue()
    __latest_process_order_unique_keys = {}
    __latest_process_not_order_unique_keys_count = {}
    __trade_log_placr_order_info_dict = {}  # 下单信息保存
    # 初始化
    __TradePointManager = l2_data_manager.TradePointManager()
    __SCancelBigNumComputer = SCancelBigNumComputer()
    __HourCancelBigNumComputer = HourCancelBigNumComputer()
    __LCancelBigNumComputer = LCancelBigNumComputer()
    __GCancelBigNumComputer = NewGCancelBigNumComputer()
    __TradeStateManager = trade_manager.TradeStateManager()
    __CodesTradeStateManager = trade_manager.CodesTradeStateManager()
    __PauseBuyCodesManager = gpcode_manager.PauseBuyCodesManager()
    __Buy1PriceManager = code_price_manager.Buy1PriceManager()
    __AccountMoneyManager = AccountMoneyManager()
    __TradeBuyDataManager = trade_data_manager.TradeBuyDataManager()
    __LimitUpTimeManager = limit_up_time_manager.LimitUpTimeManager()
    __BlackListCodeManager = gpcode_manager.BlackListCodeManager()
    __WhiteListCodeManager = gpcode_manager.WhiteListCodeManager()
    __WantBuyCodesManager = gpcode_manager.WantBuyCodesManager()
    __TradeTargetCodeModeManager = TradeTargetCodeModeManager()
    __TradeOrderIdManager = trade_huaxin.TradeOrderIdManager()
    __LatestCancelIndexManager = LatestCancelIndexManager()
    __L2MarketSellManager = L2MarketSellManager()
    __L2LimitUpSellManager = L2LimitUpSellManager()
    __PlaceOrderCountManager = PlaceOrderCountManager()
    __CodeNatureRecordManager = code_nature_analyse.CodeNatureRecordManager()
    __MarketSituationManager = MarketSituationManager()
    __re_compute_threading_pool = concurrent.futures.ThreadPoolExecutor(max_workers=10)
 
    # 买入锁
    __buy_lock_dict = {}
 
    # 当前批次正在处理的数据索引
    __processing_data_indexes = {}
 
    # 下次买的时间
    __next_buy_time_dict = {}
 
    # 中断本批次买入数据处理
    __break_current_batch_data_for_buy_dict = {}
 
    # 最近的执行位置
    __latest_exec_indexes = {}
 
    # 获取代码评分
    @classmethod
    def get_code_scores(cls):
        score_dict = {}
        for code in cls.__l2PlaceOrderParamsManagerDict:
            score = cls.__l2PlaceOrderParamsManagerDict[code].score
            score_dict[code] = score
        return score_dict
 
    @classmethod
    # 数据处理入口
    # datas: 本次截图数据
    # capture_timestamp:截图时间戳
    def process(cls, code, datas, capture_timestamp):
        __start_time = round(t.time() * 1000)
        try:
            if len(datas) > 0:
                # 判断价格区间是否正确
                if not code_data_util.is_same_code_with_price(code, float(datas[0]["val"]["price"])):
                    raise L2DataException(L2DataException.CODE_PRICE_ERROR,
                                          "股价不匹配 code-{} price-{}".format(code, datas[0]["val"]["price"]))
                # 加载历史数据,返回数据是否正常
                is_normal = l2.l2_data_util.load_l2_data(code)
                if not is_normal:
                    # print("历史数据异常:", code)
                    # 数据不正常需要禁止交易
                    l2_trade_util.forbidden_trade(code, msg="L2历史数据异常", force=True)
                # 纠正数据
                if constant.L2_SOURCE_TYPE == constant.L2_SOURCE_TYPE_THS:
                    # 同花顺需要纠正数据,其他渠道不需要
                    datas = l2.l2_data_util.L2DataUtil.correct_data(code, local_latest_datas.get(code), datas)
                _start_index = 0
                if local_today_datas.get(code) is not None and len(
                        local_today_datas[code]) > 0:
                    _start_index = local_today_datas[code][-1]["index"] + 1
                add_datas = l2.l2_data_util.L2DataUtil.get_add_data(code, local_latest_datas.get(code), datas,
                                                                    _start_index)
                # -------------数据增量处理------------
                try:
                    cls.process_add_datas(code, add_datas, capture_timestamp, __start_time)
                finally:
                    # 保存数据
                    __start_time = round(t.time() * 1000)
                    l2.l2_data_util.save_l2_data(code, datas, add_datas)
                    # __start_time = l2_data_log.l2_time(code,
                    #                                    round(t.time() * 1000) - __start_time,
                    #                                    "保存数据时间({})".format(len(add_datas)))
        finally:
            if code in cls.unreal_buy_dict:
                cls.unreal_buy_dict.pop(code)
 
    @classmethod
    def set_real_place_order_index(cls, code, index, order_begin_pos: OrderBeginPosInfo):
        trade_record_log_util.add_real_place_order_position_log(code, index, order_begin_pos.buy_single_index)
        total_datas = local_today_datas.get(code)
        use_time = tool.trade_time_sub_with_ms(L2DataUtil.get_time_with_ms(total_datas[index]["val"]) , L2DataUtil.get_time_with_ms(
            total_datas[order_begin_pos.buy_exec_index]["val"]))
        trade_record_log_util.add_place_order_use_time(code, f"执行位时间:{L2DataUtil.get_time_with_ms(total_datas[order_begin_pos.buy_exec_index]['val'])} 耗时:{use_time}")
        l2_log.debug(code, "设置真实下单位:{}", index)
        cancel_buy_strategy.set_real_place_position(code, index, order_begin_pos.buy_single_index, is_default=False)
        # 获取真实下单位置之后需要判断F撤
        try:
            cancel_result = cancel_buy_strategy.FCancelBigNumComputer().need_cancel_for_deal_fast(code)
            if cancel_result[0]:
                L2TradeDataProcessor.cancel_buy(code, f"F撤:{cancel_result[1]}",
                                                cancel_type=trade_constant.CANCEL_TYPE_F)
                return
            else:
                l2_log.f_cancel_debug(code, f"获取真实成交位的F撤未生效:{cancel_result[1]}")
        except Exception as e:
            logger_debug.exception(e)
        # 判断与执行位置的间隔时间
        if order_begin_pos.mode != OrderBeginPosInfo.MODE_RADICAL:
            # 非扫入下单要判断执行位置与真实下单位的间隔时间
            total_datas = local_today_datas.get(code)
            if tool.trade_time_sub_with_ms(L2DataUtil.get_time_with_ms(total_datas[index]["val"]),
                                           L2DataUtil.get_time_with_ms(
                                               total_datas[order_begin_pos.buy_exec_index]["val"])) > 2000:
                L2TradeDataProcessor.cancel_buy(code, f"真实下单位({index})与执行位({order_begin_pos.buy_exec_index})相差2s以上",
                                                cancel_type=trade_constant.CANCEL_TYPE_F)
                return
 
    # 处理华鑫L2数据
    @classmethod
    def process_huaxin(cls, code, origin_datas):
        datas = None
        try:
            # 加载历史的L2数据
            is_normal = l2.l2_data_util.l2_data_is_normal(code)
            if not is_normal:
                # 数据不正常需要禁止交易
                l2_trade_util.forbidden_trade(code, msg="L2历史数据异常", force=True)
            # 转换数据格式
            _start_index = 0
            total_datas = local_today_datas.get(code)
            if code not in local_today_datas:
                local_today_datas[code] = []
            if total_datas:
                _start_index = total_datas[-1]["index"] + 1
 
            # 如果是板上,就需要剔除板上卖数据, 默认不剔除
            filter_limit_up_sell = False
            trade_price_info = HuaXinSellOrderStatisticManager.get_latest_trade_price_info(code)
            limit_up_price = gpcode_manager.get_limit_up_price(code)
            if limit_up_price:
                limit_up_price = round(float(limit_up_price), 2)
            # if trade_price_info and limit_up_price and trade_price_info[0] == limit_up_price:
            #     filter_limit_up_sell = True
 
            datas = l2_huaxin_util.get_format_l2_datas(code, origin_datas, limit_up_price, _start_index,
                                                       filter_limit_up_sell)
            L2LimitUpSellDataManager.add_l2_data(code, datas)
            __start_time = round(t.time() * 1000)
            if len(datas) > 0:
                cls.process_add_datas(code, datas, 0, __start_time)
        except Exception as e:
            async_log_util.error(logger_l2_error, f"code:{code}")
            # async_log_util.exception(logger_l2_error, e)
            logger_l2_error.exception(e)
        finally:
            if datas:
                l2.l2_data_util.save_l2_data(code, None, datas)
            origin_datas.clear()
 
    @classmethod
    def __recompute_real_order_index(cls, code, pre_real_order_index, order_info, compute_type):
        # 1s之后重新计算
        time.sleep(1)
        real_order_index = huaxin_delegate_postion_manager.RealDelegateOrderPositionManager().recompute_l2_place_order_position(
            code, order_info, pre_real_order_index, compute_type)
        if real_order_index and pre_real_order_index != real_order_index:
            try:
                exec_index = order_info[6]
                order_begin_pos = cls.__get_order_begin_pos(
                    code)
                async_log_util.info(logger_debug,
                                    f"下单位矫正:真实下单位-{real_order_index} 订单信息-{order_info}  下单信息-{order_begin_pos.to_dict()}")
                if order_begin_pos and order_begin_pos.buy_exec_index == exec_index:
                    cls.set_real_place_order_index(code, real_order_index, order_begin_pos)
                    async_log_util.info(logger_real_place_order_position,
                                        f"真实下单位置矫正:{code}-({real_order_index},1)")
            except Exception as e:
                logger_debug.exception(e)
                async_log_util.error(logger_debug, f"重新寻找真实下单位异常:{code}-{order_info}")
 
    @classmethod
    def process_add_datas(cls, code, add_datas, capture_timestamp, __start_time):
        now_time_str = tool.get_now_time_str()
        # 将本次中断设置为
        cls.__break_current_batch_data_for_buy_dict[code] = False
        if add_datas:
            # 记录当前批数据的索引
            cls.__processing_data_indexes[code] = (add_datas[0]["index"], add_datas[-1]["index"])
            if code not in cls.__trade_log_placr_order_info_dict:
                cls.__trade_log_placr_order_info_dict[code] = trade_record_log_util.PlaceOrderInfo()
            # 拼接数据
            local_today_datas[code].extend(add_datas)
            l2.l2_data_util.load_num_operate_map(local_today_num_operate_map, code, add_datas)
            l2.l2_data_util.load_buy_no_map(local_today_buyno_map, code, add_datas)
            l2.l2_data_util.load_sell_no_map(local_today_sellno_map, code, add_datas)
            l2.l2_data_util.load_canceled_buy_no_map(local_today_canceled_buyno_map, code, add_datas)
            if constant.L2_SOURCE_TYPE == constant.L2_SOURCE_TYPE_HUAXIN:
                try:
                    if constant.TEST:
                        pass
                        # order_begin_pos = cls.__get_order_begin_pos(code)
                        # if order_begin_pos.buy_exec_index and order_begin_pos.buy_exec_index>=0:
                        #     place_order_index = add_datas[-1]["index"]
                        #     cls.set_real_place_order_index(code, place_order_index, order_begin_pos.buy_single_index)
                    else:
                        # ------------09:30:00之前处理排1的问题--------------
                        if int(add_datas[-1]["val"]["time"].replace(":", "")) < 93000:
                            # 获取是否下单
                            buy_info = buy_open_limit_up_strategy.BuyOpenLimitupDataManager().get_place_order_info(code)
                            # 设置虚拟下单信息
                            if buy_info:
                                try:
                                    buy_single_index, buy_exec_index, buy_exec_index = add_datas[0]["index"], \
                                                                                       add_datas[0]["index"], \
                                                                                       add_datas[0]["index"]
                                    buy_volume_rate = 0
                                    sell_info = ("09:15:00", 0)
                                    threshold_money = 0
                                    order_begin_pos_info = OrderBeginPosInfo(buy_single_index=buy_single_index,
                                                                             buy_exec_index=buy_exec_index,
                                                                             buy_compute_index=buy_exec_index,
                                                                             num=1, count=1,
                                                                             max_num_set=set(),
                                                                             buy_volume_rate=buy_volume_rate,
                                                                             mode=OrderBeginPosInfo.MODE_OPEN_LIMIT_UP,
                                                                             mode_desc=f"排1下单",
                                                                             sell_info=sell_info,
                                                                             threshold_money=threshold_money)
                                    cls.__save_order_begin_data(code, order_begin_pos_info)
                                    # 设置下单信息
                                    limit_up_price = gpcode_manager.get_limit_up_price_as_num(code)
                                    shadow_price = tool.get_shadow_price(limit_up_price)
                                    huaxin_delegate_postion_manager.place_order(code, limit_up_price, buy_info[0],
                                                                                buy_exec_index,
                                                                                add_datas[0], buy_info[2],
                                                                                shadow_price=shadow_price,
                                                                                shadow_volume=buy_info[1])
                                    cls.__place_order_success(code, order_begin_pos_info, None)
                                except Exception as e:
                                    logger_l2_error.exception(e)
                                finally:
                                    buy_open_limit_up_strategy.BuyOpenLimitupDataManager().remove_place_order_info(code)
 
                        # 获取下单位置
 
                        if constant.IS_NEW_VERSION_PLACE_ORDER:
                            place_order_index, order_info, compute_type = huaxin_delegate_postion_manager.RealDelegateOrderPositionManager.compute_l2_place_order_position(
                                code, add_datas)
                        else:
                            place_order_index, order_info, compute_type = huaxin_delegate_postion_manager.get_l2_place_order_position(
                                code, float(
                                    gpcode_manager.get_limit_up_price(code)), add_datas)
 
                        if place_order_index:
                            order_begin_pos = cls.__get_order_begin_pos(
                                code)
                            cls.set_real_place_order_index(code, place_order_index, order_begin_pos)
                            try:
                                cls.__re_compute_threading_pool.submit(
                                    cls.__recompute_real_order_index, code, place_order_index, order_info,
                                    compute_type)
                            except:
                                pass
                            async_log_util.info(logger_l2_process, f"code:{code} 获取到下单真实位置:{place_order_index}")
 
                    # 处理涨停卖与涨停卖撤
                    try:
                        for d in add_datas:
                            if L2DataUtil.is_limit_up_price_sell(d['val']):
                                L2TradeSingleDataProcessor.add_l2_delegate_limit_up_sell(code, d)
                            elif L2DataUtil.is_limit_up_price_sell_cancel(d['val']):
                                L2TradeSingleDataProcessor.add_l2_delegate_limit_up_sell_cancel(code,
                                                                                                d['val']['orderNo'])
                    except Exception as e:
                        logger_debug.exception(e)
                except:
                    async_log_util.error(logger_l2_error, f"{code} 处理真实下单位置出错")
            # 第1条数据是否为09:30:00
            if add_datas[0]["val"]["time"] == "09:30:00":
                if global_util.cuurent_prices.get(code):
                    price_data = global_util.cuurent_prices.get(code)
                    if price_data[1]:
                        # 当前涨停价,设置涨停时间
                        async_log_util.info(logger_l2_process, f"开盘涨停:{code}")
                        # 保存涨停时间
                        cls.__LimitUpTimeManager.save_limit_up_time(code, "09:30:00")
 
        total_datas = local_today_datas[code]
        # __start_time = l2_data_log.l2_time(code, round(t.time() * 1000) - __start_time,
        #                                    "l2数据预处理时间")
 
        # 9:29:55开始处理数据
        place_ordered_desc = ""
        if len(add_datas) > 0 and int(tool.get_now_time_str().replace(":", "")) > int("092955"):
            # 是否为首板代码
            is_first_code = True  # gpcode_manager.FirstCodeManager().is_in_first_record(code)
            # 计算量
            current_sell = cls.__L2MarketSellManager.get_current_total_sell_data(code)
            total_sell_volume = 0
            if current_sell and len(current_sell) > 2:
                total_sell_volume = current_sell[2]
            volume_rate = code_volumn_manager.CodeVolumeManager().get_volume_rate(code,
                                                                                  total_sell_volume=total_sell_volume)
            volume_rate_index = code_volumn_manager.CodeVolumeManager().get_volume_rate_index(volume_rate)
            # 计算分值
            limit_up_time = cls.__LimitUpTimeManager.get_limit_up_time_cache(code)
            if limit_up_time is None:
                limit_up_time = tool.get_now_time_str()
 
            score = None
            cls.__l2PlaceOrderParamsManagerDict[code] = l2_trade_factor.L2PlaceOrderParamsManager(code, is_first_code,
                                                                                                  volume_rate,
                                                                                                  volume_rate_index,
                                                                                                  score,
                                                                                                  total_datas[-1][
                                                                                                      'val']['time'])
            cls.volume_rate_info[code] = (volume_rate, volume_rate_index)
 
            latest_time = add_datas[-1]["val"]["time"]
 
            # __start_time = l2_data_log.l2_time(code, round(t.time() * 1000) - __start_time,
            #                                    "l2数据准备时间")
            # 时间差不能太大才能处理
            if not l2_trade_util.is_in_forbidden_trade_codes(code):
                # 计算板上卖,当数据少时才计算,否则不计算
                try:
                    if len(add_datas) < 20:
                        has_limit_up_sell = False
                        for d in add_datas:
                            if L2DataUtil.is_limit_up_price_sell(d["val"]):
                                if d["val"]["num"] * float(d["val"]["price"]) < 5000:
                                    continue
                                cls.__L2LimitUpSellManager.add_limit_up_sell(code, d["index"])
                                has_limit_up_sell = True
                        if has_limit_up_sell:
                            LCancelRateManager.compute_big_num_deal_info(code)
                        # elif L2DataUtil.is_limit_up_price_sell_cancel(d["val"]):
                        #     cls.__L2LimitUpSellManager.add_limit_up_sell(code, d["index"])
                except Exception as e:
                    async_log_util.error(logger_l2_error, f"计算板上卖出错:{str(e)}")
 
                # 判断是否已经挂单
                state = cls.__CodesTradeStateManager.get_trade_state_cache(code)
                start_index = len(total_datas) - len(add_datas)
                end_index = len(total_datas) - 1
 
                if state == trade_constant.TRADE_STATE_BUY_DELEGATED or state == trade_constant.TRADE_STATE_BUY_PLACE_ORDER or state == trade_constant.TRADE_STATE_BUY_SUCCESS:
                    # 已挂单
                    place_ordered_desc = "已下单"
                    cls.__process_order(code, start_index, end_index, capture_timestamp, is_first_code)
                else:
                    place_ordered_desc = "未下单"
                    # 未挂单,时间相差不大才能挂单
                    # tool.trade_time_sub(latest_time, "09:32:00") < 0
                    if l2.l2_data_util.L2DataUtil.is_same_time(
                            now_time_str, latest_time):
                        cls.__process_not_order(code, start_index, end_index, capture_timestamp, is_first_code)
                    else:
                        place_ordered_desc += ":数据延迟"
 
            l2_log.info(code, logger_l2_process, "code:{} 处理数据范围: {}-{} 处理时间:{} 线程ID:{} 处理情况:{}", code,
                        add_datas[0]["index"],
                        add_datas[-1]["index"], round(t.time() * 1000) - __start_time,
                        l2_log.threadIds.get(code), place_ordered_desc)
 
    # 处理未挂单
    @classmethod
    def __process_not_order(cls, code, start_index, end_index, capture_time, is_first_code):
        __start_time = round(t.time() * 1000)
        # 获取阈值
        threshold_money, msg = cls.__get_threshmoney(code)
        cls.__start_compute_buy(code, start_index, end_index, threshold_money, capture_time, is_first_code)
 
    # 测试专用
    @classmethod
    def process_order(cls, code, start_index, end_index, capture_time, is_first_code, new_add=True):
        cls.__process_order(code, start_index, end_index, capture_time, is_first_code, new_add)
 
    # 处理已挂单
    @classmethod
    def __process_order(cls, code, start_index, end_index, capture_time, is_first_code, new_add=True):
        # 增加推出机制
        unique_key = f"{start_index}-{end_index}"
        if cls.__latest_process_order_unique_keys.get(code) == unique_key:
            async_log_util.error(logger_l2_error, f"重复处理数据:code-{code} start_index-{start_index} end_index-{end_index}")
            return
        cls.__latest_process_order_unique_keys[code] = unique_key
 
        # H撤
        def h_cancel(_buy_single_index, _buy_exec_index):
            _start_time = round(t.time() * 1000)
            try:
                b_need_cancel, b_cancel_data = cls.__HourCancelBigNumComputer.need_cancel(code, _buy_single_index,
                                                                                          _buy_exec_index, start_index,
                                                                                          end_index, total_data,
                                                                                          code_volumn_manager.CodeVolumeManager().get_volume_rate_index(
                                                                                              order_begin_pos.buy_volume_rate),
                                                                                          cls.volume_rate_info[code][1],
                                                                                          is_first_code)
                if b_need_cancel and b_cancel_data:
                    return b_cancel_data, "H撤"
            except Exception as e:
                if constant.TEST:
                    logging.exception(e)
                # TODO 可能耗时
                logger_l2_error.exception(e)
                async_log_util.error(logger_l2_error,
                                     f"H撤出错 参数:buy_single_index-{_buy_single_index} buy_exec_index-{_buy_exec_index} {str(e)}")
                async_log_util.exception(logger_l2_error, e)
                # logger_l2_error.exception(e)
            finally:
                # l2_data_log.l2_time(code, round(t.time() * 1000) - _start_time, "已下单-H撤大单计算")
                pass
            return None, ""
 
        # L撤
        def l_cancel(_buy_single_index, _buy_exec_index):
            _start_time = round(t.time() * 1000)
            try:
                b_need_cancel, b_cancel_data, extra_msg, b_cancel_type = cls.__LCancelBigNumComputer.need_cancel(code,
                                                                                                                 _buy_exec_index,
                                                                                                                 start_index,
                                                                                                                 end_index,
                                                                                                                 total_data,
                                                                                                                 is_first_code)
                if b_need_cancel and b_cancel_data:
                    return b_cancel_data, f"L撤({extra_msg})", b_cancel_type
            except Exception as e:
                async_log_util.error(logger_l2_error,
                                     f"L撤出错 参数:buy_single_index-{_buy_single_index} buy_exec_index-{_buy_exec_index} 错误原因:{str(e)}")
                # logger_l2_error.exception(e)
                async_log_util.exception(logger_l2_error, e)
            finally:
                # l2_data_log.l2_time(code, round(t.time() * 1000) - _start_time, "已下单-L撤大单计算")
                pass
            return None, "", None
 
        # G撤
        def g_cancel(_buy_single_index, _buy_exec_index):
            try:
                b_need_cancel, b_cancel_data, extra_msg = cls.__GCancelBigNumComputer.need_cancel(code,
                                                                                                  _buy_exec_index,
                                                                                                  start_index,
                                                                                                  end_index)
                if b_need_cancel and b_cancel_data:
                    return b_cancel_data, f"G撤({extra_msg})"
            except Exception as e:
                async_log_util.error(logger_l2_error,
                                     f"G撤出错 参数:buy_single_index-{_buy_single_index} buy_exec_index-{_buy_exec_index} 错误原因:{str(e)}")
                # logger_l2_error.exception(e)
                async_log_util.exception(logger_l2_error, e)
            finally:
                # l2_data_log.l2_time(code, round(t.time() * 1000) - _start_time, "已下单-L撤大单计算")
                pass
            return None, ""
 
        # B撤
        def b_cancel(_buy_single_index, _buy_exec_index):
            try:
                b_need_cancel, b_cancel_data, extra_msg = cls.__GCancelBigNumComputer.need_cancel_for_b(code,
                                                                                                        start_index,
                                                                                                        end_index)
                if b_need_cancel and b_cancel_data:
                    return b_cancel_data, f"G撤({extra_msg})"
            except Exception as e:
                async_log_util.error(logger_l2_error,
                                     f"B撤出错 参数:buy_single_index-{_buy_single_index} buy_exec_index-{_buy_exec_index} 错误原因:{str(e)}")
            return None, ""
 
        # J撤
        def j_cancel(_buy_single_index, _buy_exec_index):
            try:
                b_need_cancel, b_cancel_data, extra_msg = JCancelBigNumComputer().need_cancel(code, start_index,
                                                                                              end_index)
                if b_need_cancel and b_cancel_data:
                    return b_cancel_data, f"J撤({extra_msg})"
            except Exception as e:
                async_log_util.error(logger_l2_error,
                                     f"J撤出错 参数:buy_single_index-{_buy_single_index} buy_exec_index-{_buy_exec_index} 错误原因:{str(e)}")
            return None, ""
 
        # RD撤
        def rd_cancel(_buy_single_index, _buy_exec_index):
            try:
                b_need_cancel, b_cancel_data, extra_msg = RDCancelBigNumComputer().need_cancel(code, start_index,
                                                                                               end_index)
                if b_need_cancel and b_cancel_data:
                    big_order_info = radical_buy_data_manager.get_total_deal_big_order_info(code,
                                                                                            gpcode_manager.get_limit_up_price_as_num(
                                                                                                code))
                    if big_order_info[0] > 0:
                        return b_cancel_data, f"RD撤({extra_msg})", trade_constant.CANCEL_TYPE_RD
            except Exception as e:
                async_log_util.error(logger_l2_error,
                                     f"RD撤出错 参数:buy_single_index-{_buy_single_index} buy_exec_index-{_buy_exec_index} 错误原因:{str(e)}")
            return None, "", trade_constant.CANCEL_TYPE_RD
 
        if start_index < 0:
            start_index = 0
 
        if end_index < start_index:
            return
        total_data = local_today_datas.get(code)
        _start_time = tool.get_now_timestamp()
        # 获取买入信号起始点
        order_begin_pos = cls.__get_order_begin_pos(
            code)
        # 默认量为0.2
        if order_begin_pos.buy_volume_rate is None:
            order_begin_pos.buy_volume_rate = 0.2
        cancel_data, cancel_msg, cancel_type = None, "", None
        if order_begin_pos.mode == OrderBeginPosInfo.MODE_RADICAL:
 
            if not cancel_data:
                cancel_data, cancel_msg, cancel_type = rd_cancel(order_begin_pos.buy_single_index,
                                                                 order_begin_pos.buy_exec_index)
 
            # 扫入下单只有L撤
            if not cancel_data:
                cancel_data, cancel_msg, cancel_type = l_cancel(order_begin_pos.buy_single_index,
                                                                order_begin_pos.buy_exec_index)
        else:
            if not cancel_data:
                cancel_data, cancel_msg = g_cancel(order_begin_pos.buy_single_index, order_begin_pos.buy_exec_index)
                cancel_type = trade_constant.CANCEL_TYPE_G
            # 依次处理
            if not cancel_data:
                cancel_data, cancel_msg, cancel_type = l_cancel(order_begin_pos.buy_single_index,
                                                                order_begin_pos.buy_exec_index)
            # B撤
            if not cancel_data:
                cancel_data, cancel_msg = b_cancel(order_begin_pos.buy_single_index, order_begin_pos.buy_exec_index)
                cancel_type = trade_constant.CANCEL_TYPE_G
            if not cancel_data:
                cancel_data, cancel_msg = h_cancel(order_begin_pos.buy_single_index, order_begin_pos.buy_exec_index)
                cancel_type = trade_constant.CANCEL_TYPE_H
            # J撤
            if not cancel_data:
                cancel_data, cancel_msg = j_cancel(order_begin_pos.buy_single_index, order_begin_pos.buy_exec_index)
                cancel_type = trade_constant.CANCEL_TYPE_J
 
        if cancel_data and not DCancelBigNumComputer().has_auto_cancel_rules(code):
            l2_log.debug(code, "触发撤单,撤单位置:{} ,撤单原因:{}", cancel_data["index"], cancel_msg)
            # 撤单
            cls.cancel_buy(code, cancel_msg, cancel_index=cancel_data["index"], cancel_type=cancel_type)
            # 撤单成功,继续计算下单
            cls.__process_not_order(code, cancel_data["index"] + 1, end_index, capture_time, is_first_code)
        else:
            pass
 
    @classmethod
    def __is_pre_can_buy(cls, code):
        """
        预判断是否可买
        @param code:
        @return:
        """
        if not cls.__TradeStateManager.is_can_buy_cache():
            return False, True, f"今日已禁止交易", True
 
        if l2_trade_util.is_in_forbidden_trade_codes(code):
            return False, True, f"代码禁止交易", True
 
        if cls.__PauseBuyCodesManager.is_in_cache(code):
            return False, True, f"该代码被暂停交易", True
        now_time_int = int(tool.get_now_time_str().replace(":", ""))
        if now_time_int >= 145700:
            return False, True, f"14:57后不能交易", True
        # if now_time_int < 93100:
        #     return False, True, f"09:31之前不能交易", True
        # 二板以上的票不买
        yesterday_codes = kpl_data_manager.get_yesterday_limit_up_codes()
        if yesterday_codes and code in yesterday_codes:
            return False, True, f"不买高位板", True
 
        if cls.__TradeTargetCodeModeManager.get_mode_cache() == TradeTargetCodeModeManager.MODE_ONLY_BUY_WANT_CODES:
            if not cls.__WantBuyCodesManager.is_in_cache(
                    code) and not gpcode_manager.GreenListCodeManager().is_in_cache(code):
                return False, True, f"只买想买:没在想买单和绿单", True
        if cls.__TradeTargetCodeModeManager.get_mode_cache() == TradeTargetCodeModeManager.MODE_ONLY_BUY_SPECIAL_CODES:
            special_blocks = BlockSpecialCodesManager().get_code_blocks(code)
            if not special_blocks:
                return False, True, f"只买辨识度", True
        # if not cls.__WantBuyCodesManager.is_in_cache(code):
        average_rate = cls.__Buy1PriceManager.get_average_rate(code)
        if average_rate:
            if tool.is_ge_code(code):
                if average_rate < 0.8:
                    return False, True, f"均价涨幅({average_rate})小于8%", True
            else:
                if average_rate < 0.04:
                    return False, True, f"均价涨幅({average_rate})小于4%", True
        return True, False, f"", False
 
    @classmethod
    def start_buy(cls, code, last_data, last_data_index, is_first_code, block_info):
        """
        开始买入
        @param code:
        @param last_data:
        @param last_data_index:
        @param is_first_code:
        @param block_info:板块信息:[(板块,流入信息)]
        @return:
        """
        return cls.__buy(code, 0, last_data, last_data_index, is_first_code, block_info=block_info)
 
    @classmethod
    def get_active_buy_blocks(cls, code):
        """
        获取积极买入的板块
        @param code:
        @return:
        """
        if tool.is_sh_code(code):
            # 上证不积极下单
            return None
 
        current_total_sell_data = L2MarketSellManager().get_current_total_sell_data(code)
        place_order_count = trade_data_manager.PlaceOrderCountManager().get_place_order_count(code)
        # 只有初次下单 + 总抛压大于500w能积极下单
        if place_order_count > 0 or current_total_sell_data is None or current_total_sell_data[1] < 500 * 10000:
            return None
 
        if global_util.zyltgb_map.get(code) > 50 * 100000000:
            # 50亿以上的无法积极下单
            return None
        can_buy_result = CodePlateKeyBuyManager.can_buy(code)
        if can_buy_result:
            if can_buy_result[5]:
                return can_buy_result[5]
            elif not can_buy_result[0] and can_buy_result[1]:
                # 10:00:00 前的独苗可积极买入
                if tool.trade_time_sub(tool.get_now_time_str(), "10:00:00") <= 0:
                    return ["独苗"]
        return None
 
    @classmethod
    def __place_order_success(cls, code, order_begin_pos, block_info):
        ################下单成功处理################
        trade_result_manager.real_buy_success(code, cls.__TradePointManager)
        l2_log.debug(code, "处理买入成功1")
        cancel_buy_strategy.set_real_place_position(code, local_today_datas.get(code)[-1]["index"],
                                                    order_begin_pos.buy_single_index, is_default=True)
        l2_log.debug(code, "处理买入成功2")
        params_desc = cls.__l2PlaceOrderParamsManagerDict[code].get_buy_rank_desc()
        l2_log.debug(code, params_desc)
        #################清除本次下单的大单数据###############
        EveryLimitupBigDealOrderManager.clear(code, "下单成功")
        ############记录下单时的数据############
        try:
            jx_blocks, jx_blocks_by = KPLCodeJXBlockManager().get_jx_blocks_cache(
                code), KPLCodeJXBlockManager().get_jx_blocks_cache(code, by=True)
            if jx_blocks:
                jx_blocks = jx_blocks[0]
            if jx_blocks_by:
                jx_blocks_by = jx_blocks_by[0]
 
            info = cls.__trade_log_placr_order_info_dict[code]
            info.mode = order_begin_pos.mode
            info.mode_desc = order_begin_pos.mode_desc
            info.set_buy_index(order_begin_pos.buy_single_index, order_begin_pos.buy_exec_index)
            info.set_sell_info(order_begin_pos.sell_info)
            info.set_block_info(block_info)
            if jx_blocks:
                info.set_kpl_blocks(list(jx_blocks))
            elif jx_blocks_by:
                info.set_kpl_blocks(list(jx_blocks_by))
            else:
                info.set_kpl_blocks([])
            can_buy_result = CodePlateKeyBuyManager.can_buy(code)
            if can_buy_result:
                if not can_buy_result[0] and can_buy_result[1]:
                    info.set_kpl_match_blocks(["独苗"])
                elif not can_buy_result[0] and not can_buy_result[1]:
                    info.set_kpl_match_blocks(["非独苗不满足身位"])
                else:
                    temps = []
                    temps.extend([f"{x[0]}" for x in can_buy_result[0]])
                    if can_buy_result[5]:
                        temps.append(f"积极买入:{can_buy_result[5]}")
                    info.set_kpl_match_blocks(temps)
            trade_record_log_util.add_place_order_log(code, info)
        except Exception as e:
            async_log_util.error(logger_l2_error, f"加入买入记录日志出错:{str(e)}")
 
    @classmethod
    def __buy(cls, code, capture_timestamp, last_data, last_data_index, is_first_code, block_info=None):
        pre_result = cls.__is_pre_can_buy(code)
        if not pre_result[0]:
            async_log_util.info(logger_l2_not_buy_reasons, f"{code}#{pre_result[2]}")
            return False
        # 添加买入锁
        if code not in cls.__buy_lock_dict:
            cls.__buy_lock_dict[code] = threading.Lock()
 
        with cls.__buy_lock_dict[code]:
            # 判断是否可以下单,不处于可下单状态需要返回
            state = cls.__CodesTradeStateManager.get_trade_state_cache(code)
            if not trade_util.is_can_order_by_state(state):
                # 不处于可下单状态
                return False
            __start_time = tool.get_now_timestamp()
            order_begin_pos = cls.__get_order_begin_pos(
                code)
 
            if order_begin_pos.MODE_RADICAL == order_begin_pos.mode:
                # 积极下单不判断条件
                can, need_clear_data, reason, is_valid_exec_index = True, False, "扫入下单", True
            else:
                return False
                # can, need_clear_data, reason, is_valid_exec_index = cls.__can_buy_first(code)
 
            # 删除虚拟下单
            if code in cls.unreal_buy_dict:
                cls.unreal_buy_dict.pop(code)
 
            if not can:
                if not is_valid_exec_index:
                    if cls.__latest_exec_indexes.get(code) and cls.__latest_exec_indexes[code][
                        -1] == order_begin_pos.buy_exec_index:
                        # 如果执行位置算做无效,就需要删除当前执行位置
                        cls.__latest_exec_indexes[code].pop()
                l2_log.debug(code, "不可以下单,原因:{}", reason)
                trade_record_log_util.add_cant_place_order_log(code, reason)
                if need_clear_data:
                    # 中断买入
                    cls.__break_current_batch_data_for_buy_dict[code] = True
                    trade_result_manager.real_cancel_success(code, order_begin_pos.buy_single_index,
                                                             order_begin_pos.buy_exec_index,
                                                             local_today_datas.get(code))
                return False
            else:
                l2_log.debug(code, "可以下单,原因:{}, 下单模式:{}", reason, order_begin_pos.mode)
                try:
 
                    # 判断是否为首封下单
                    order_begin_pos.first_limit_up_buy = radical_buy_data_manager.is_first_limit_up_buy(code)
 
                    l2_log.debug(code, "开始执行买入")
                    trade_manager.start_buy(code, capture_timestamp, last_data,
                                            last_data_index, order_begin_pos.mode, order_begin_pos.buy_exec_index)
                    l2_log.debug(code, "执行买入成功")
 
                    cls.__place_order_success(code, order_begin_pos, block_info)
 
                except Exception as e:
                    async_log_util.exception(logger_l2_error, e)
                    l2_log.debug(code, "执行买入异常:{}", str(e))
                    pass
                finally:
                    # l2_log.debug(code, "m值影响因子:{}", l2_trade_factor.L2TradeFactorUtil.factors_to_string(code))
                    pass
                return True
 
    # 是否可以取消
    @classmethod
    def __can_cancel(cls, code):
        if constant.TEST:
            return True, ""
        if cls.__WhiteListCodeManager.is_in_cache(code):
            return False, "代码在白名单中"
 
        # 暂时注释掉
        # 14点后如果是板块老大就不需要取消了
        # now_time_str = tool.get_now_time_str()
        # if int(now_time_str.replace(":", "")) >= 140000:
        #     industry, codes = ths_industry_util.get_same_industry_codes(code, gpcode_manager.get_gp_list())
        #     if industry is None:
        #         return True, "没有获取到行业"
        #     codes_index = industry_codes_sort.sort_codes(codes, code)
        #     if codes_index is not None and codes_index.get(code) is not None:
        #         # 同一板块中老二后面的不能买
        #         if codes_index.get(code) == 0:
        #             return False, "14:00后老大不能撤单"
        #         elif codes_index.get(code) == 1:
        #             # 判断老大是否都是09:30:00涨停的
        #             # 同1板块老大是09:30:00涨停,老二14:00砸开的不撤
        #             first_count = 0
        #             for key in codes_index:
        #                 if codes_index[key] == 0:
        #                     first_count += 1
        #                     if limit_up_time_manager.get_limit_up_time(key) == "09:30:00":
        #                         first_count -= 1
        #             if first_count == 0:
        #                 return False, "14:00后老大都开盘涨停,老二不能撤单"
 
        return True, ""
 
    @classmethod
    def __is_at_limit_up_buy(cls, code, buy_exec_index=None):
        """
        是否是板上放量买
        @param code:
        @param buy_exec_index:
        @return:
        """
        total_data = local_today_datas.get(code)
        if buy_exec_index is None:
            # 执行位置为空,就取最近的一条数据
            buy_exec_index = total_data[-1]["index"]
        latest_exec_indexes = cls.__latest_exec_indexes.get(code)
        if not latest_exec_indexes:
            latest_exec_indexes = []
        # 判断是否是炸开后买入
        last_exec_index = 0
        if len(latest_exec_indexes) > 1:
            last_exec_index = latest_exec_indexes[-2]
        # 获取最近的非涨停价成交时间
        not_limit_up_trade_time_with_ms = current_price_process_manager.get_trade_not_limit_up_time_with_ms(
            code)
        is_limit_up_buy = True
        if not_limit_up_trade_time_with_ms:
            t1 = int(
                L2DataUtil.get_time_with_ms(total_data[last_exec_index]["val"]).replace(":", "").replace(".",
                                                                                                         ""))
            t2 = int(not_limit_up_trade_time_with_ms.replace(":", "").replace(".", ""))
            t3 = int(L2DataUtil.get_time_with_ms(total_data[buy_exec_index]["val"]).replace(":", "").replace(
                ".", ""))
            if t1 < t2 <= t3:
                # 炸板时间在两次下单时间中间
                is_limit_up_buy = False
        return is_limit_up_buy
 
    # 获取可以买的板块
    @classmethod
    def __get_can_buy_block(cls, code):
        can_buy_result = CodePlateKeyBuyManager.can_buy(code)
        if can_buy_result is None:
            async_log_util.warning(logger_debug, "没有获取到板块缓存,将获取板块")
            latest_current_limit_up_records = kpl_data_manager.get_latest_current_limit_up_records()
 
            codes_delegate = set(CodesTradeStateManager().get_codes_by_trade_states_cache(
                {trade_constant.TRADE_STATE_BUY_DELEGATED, trade_constant.TRADE_STATE_BUY_PLACE_ORDER}))
            codes_success = set(CodesTradeStateManager().get_codes_by_trade_states_cache(
                {trade_constant.TRADE_STATE_BUY_SUCCESS}))
 
            CodePlateKeyBuyManager.update_can_buy_blocks(code,
                                                         kpl_data_manager.KPLLimitUpDataRecordManager.latest_origin_datas,
                                                         kpl_data_manager.KPLLimitUpDataRecordManager.total_datas,
                                                         latest_current_limit_up_records,
                                                         block_info.get_before_blocks_dict(),
                                                         kpl_data_manager.KPLLimitUpDataRecordManager.get_current_limit_up_reason_codes_dict(),
                                                         codes_delegate, codes_success)
            can_buy_result = CodePlateKeyBuyManager.can_buy(code)
        return can_buy_result
 
    @classmethod
    def can_buy_first(cls, code, limit_up_price):
        now_timestamp = int(tool.get_now_time_str().replace(":", ""))
        # 判断板块
        # (可以买的板块列表, 是否是独苗, 消息简介,可买的强势主线, 板块关键词)
        can_buy_result = cls.__get_can_buy_block(code)
        # l2_log.debug(code, "获取到的板块信息:{}", can_buy_result)
        if can_buy_result is None:
            return False, True, "尚未获取到板块信息"
        # -------量的约束--------
        volume_rate_thresholds = buy_condition_util.get_volume_rate_by_level(
            1), buy_condition_util.get_volume_rate_by_level(2)
 
        k_format = code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code)
        # 是否有辨识度
        is_special = True if k_format and k_format[8][0] else False
 
        # 是否是强势10分钟
        is_in_strong_time = now_timestamp <= int("094000")
        # 是否是强势30分钟
        is_in_strong_time_30 = now_timestamp <= int("100000")
 
        # 量参考是否在最近30天
        # is_refer_volume_date_in_30_days = False
        # try:
        #     volume_refer_date, volume_refer_date_distance = code_volumn_manager.get_volume_refer_date(code)
        #     if volume_refer_date_distance < 30:
        #         is_refer_volume_date_in_30_days = True
        # except:
        #     pass
 
        # 获取市场行情
        situation = cls.__MarketSituationManager.get_situation_cache()
        zylt_threshold_as_yi = buy_condition_util.get_zyltgb_threshold(situation)
        zyltgb_as_yi = round(global_util.zyltgb_map.get(code) / 100000000, 2)
 
        if zyltgb_as_yi >= zylt_threshold_as_yi[1]:
            return False, True, f"{zylt_threshold_as_yi[1]}亿以上的都不买({zyltgb_as_yi})"
 
        if zyltgb_as_yi < zylt_threshold_as_yi[0]:
            return False, True, f"{zylt_threshold_as_yi[0]}亿以下的都不买({zyltgb_as_yi})"
 
        if constant.ALL_ACTIVE_BUY:
            return True, False, "买所有"
 
        # 最优市值
        is_best_zylt = True if zylt_threshold_as_yi[4] <= zyltgb_as_yi <= zylt_threshold_as_yi[5] else False
 
        if is_special:
            # 具有辨识度,算作最优市值
            zyltgb_as_yi = zylt_threshold_as_yi[2] + 1
 
        # 是否是最优自由流通市值
        is_better_zylt = True if zylt_threshold_as_yi[2] <= zyltgb_as_yi <= zylt_threshold_as_yi[3] else False
 
        if is_in_strong_time_30 and is_best_zylt:
            # 强势30分钟,最优市值, 有可以下单的板块,不看量
            return True, False, can_buy_result[2]
 
        msg_list = []
        if is_in_strong_time:
            msg_list.append("强势10分钟")
 
            # 独苗
            if not can_buy_result[0] and can_buy_result[1]:
                msg_list.append("独苗")
                if not is_better_zylt:
                    # 如果没有辨识度才不买
                    if not is_special:
                        return False, True, f"强势10分钟,无辨识度, 独苗({can_buy_result[4]})不下单({can_buy_result[4]})自由流通市值({zyltgb_as_yi})不是特优市值"
            elif not can_buy_result[0]:
                return False, True, f"非独苗不满足身位:{can_buy_result[2]}"
            else:
                msg_list.append("非独苗")
                if not is_better_zylt:
                    msg_list.append("不满足自由流通")
                    # 注释量的影响
                    # if k_format and (k_format[1][0] or k_format[3][0]):
                    #     # 股价创新高或者逼近前高
                    #     if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[1]:
                    #         return False, True, f"强势10分钟,后排,不满足自由市值,股价创新高或者逼近前高,当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[1]}"
                    # else:
                    #     if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[
                    #         0] and not is_special:
                    #         return False, True, f"强势10分钟,后排,无辨识度,不满足自由市值,当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[0]}"
                else:
                    msg_list.append("满足自由流通")
                    # 后排,满足自由流通市值需要下单
                    return True, False, can_buy_result[2]
            return True, False, can_buy_result[2]
        else:
 
            # 注释量的影响
            # # 上5个交易日有炸板之后
            # if has_open_limit_up_in_5:
            #     if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < 0.29:
            #         return False, True, f"非强势10分钟,上5个交易日炸板,量未达到{0.29}({cls.volume_rate_info[code][0]})"
            #
            # # 上5个交易日有跌停
            # if has_limit_down_in_5:
            #     if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < 0.29:
            #         return False, True, f"非强势10分钟,上5个交易日跌停,量未达到{0.29}({cls.volume_rate_info[code][0]})"
 
            # 注释量的影响
            # # 获取量的参考日期
            # if code in global_util.max60_volumn:
            #     day = global_util.max60_volumn[code][1]
            #     if day in HistoryKDatasUtils.get_latest_trading_date_cache(5):
            #         if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < 0.29 and not is_special:
            #             return False, True, f"参考量在最近5天,无辨识度,量未达到0.29({cls.volume_rate_info[code][0]})"
 
            # 非强势10分钟只买主线
            if not can_buy_result[0] and can_buy_result[1]:
                if not is_special and not is_best_zylt:
                    return False, True, f"非强势10分钟,无辨识度,非特优市值,独苗({can_buy_result[4]})不下单"
            # 注释量的影响
            # if can_buy_result[3]:
            #     # 强势主线
            #     if not is_better_zylt:
            #         if k_format and (k_format[1][0] or k_format[3][0]):
            #             # 股价创新高或者逼近前高
            #             if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[1]:
            #                 return False, True, f"非强势10分钟,强势主线后排,不满足自由市值,股价创新高或者逼近前高,当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[1]}"
            #         else:
            #             if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[
            #                 0] and not is_special:
            #                 return False, True, f"非强势10分钟,强势主线后排,不满足自由市值,无辨识度,当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[0]}"
            #     else:
            #         if k_format and (k_format[1][0] or k_format[3][0]):
            #             if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[0]:
            #                 return False, True, f"非强势10分钟,强势主线后排,满足自由市值,股价创新高或者逼近前高, 当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[0]}"
            # else:
            #     # 非强势主线
            #     if not is_better_zylt:
            #         if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[
            #             1] and not is_special:
            #             return False, True, f"非强势10分钟,非强势主线后排【主线后排】,不满足自由市值,无辨识度, 当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[1]}"
            #     else:
            #         if k_format and (k_format[1][0] or k_format[3][0]):
            #             # 股价创新高或者逼近前高
            #             if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[1]:
            #                 return False, True, f"非强势10分钟,非强势主线后排【主线后排】,满足自由市值,股价创新高或者逼近前高, 当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[1]}"
            #         else:
            #             if code in cls.volume_rate_info and cls.volume_rate_info[code][0] < volume_rate_thresholds[
            #                 0] and not is_special:
            #                 return False, True, f"非强势10分钟,非强势主线后排【主线后排】, 满足自由市值,无辨识度,当日量比({cls.volume_rate_info[code][0]})小于{volume_rate_thresholds[0]}"
            return True, False, can_buy_result[2]
 
    @classmethod
    def can_buy_first_new(cls, code, limit_up_price):
        now_timestamp = int(tool.get_now_time_str().replace(":", ""))
        # 判断板块
        # (可以买的板块列表, 是否是独苗, 消息简介,可买的强势主线, 板块关键词)
        can_buy_result = cls.__get_can_buy_block(code)
        if can_buy_result is None:
            return False, True, "尚未获取到板块信息"
 
        # 是否是强势30分钟
        is_in_strong_time_30 = now_timestamp <= int("100000")
 
        # 获取市场行情
        situation = cls.__MarketSituationManager.get_situation_cache()
        zylt_threshold_as_yi = buy_condition_util.get_zyltgb_threshold(situation)
        zyltgb_as_yi = round(global_util.zyltgb_map.get(code) / 100000000, 2)
 
        if zyltgb_as_yi < zylt_threshold_as_yi[0]:
            return False, True, f"{zylt_threshold_as_yi[0]}亿以下的都不买({zyltgb_as_yi})"
        # 测试时可取消注释
        # if 1 > 0:
        #     return True, False, "买所有"
 
        if zyltgb_as_yi >= zylt_threshold_as_yi[1]:
            return False, True, f"{zylt_threshold_as_yi[1]}亿以上的都不买({zyltgb_as_yi})"
 
        msg_list = []
        if is_in_strong_time_30:
            msg_list.append("强势30分钟")
            # 独苗
            if not can_buy_result[0] and can_buy_result[1]:
                msg_list.append("独苗")
                return True, False, "强势30分钟,独苗"
            elif not can_buy_result[0]:
                return False, True, f"强势30分钟,非独苗不满足身位:{can_buy_result[2]}"
            else:
                msg_list.append("非独苗")
                # 后排,满足自由流通市值需要下单
                return True, False, can_buy_result[2]
        else:
            place_order_count = trade_data_manager.PlaceOrderCountManager().get_place_order_count(code)
            if place_order_count > 0:
                return True, False, "之前下过单"
            if not can_buy_result[0]:
                # 没有板块
                if can_buy_result[1]:
                    # 是独苗
                    if not TradeBlockBuyModeManager().can_buy_unique_block():
                        # 不能买独苗
                        return False, True, f"非强势30分钟,独苗,不满足身位:{can_buy_result[2]}"
                else:
                    # 非独苗,没有可以买入的板块
                    return False, True, f"非强势30分钟,非独苗,不满足身位:{can_buy_result[2]}"
            return True, False, can_buy_result[2]
 
    @classmethod
    def __cancel_buy(cls, code):
        if code not in cls.__buy_lock_dict:
            cls.__buy_lock_dict[code] = threading.Lock()
        with cls.__buy_lock_dict[code]:
            try:
                l2_log.debug(code, "开始执行撤单")
                trade_manager.start_cancel_buy(code)
                l2_log.debug(code, "执行撤单成功")
                return True
            except Exception as e:
                logging.exception(e)
                l2_log.debug(code, "执行撤单异常:{}", str(e))
                return False
            finally:
                pass
 
    @classmethod
    def cancel_buy(cls, code, msg=None, source="l2", cancel_index=None, cancel_type=None):
 
        finally_can_cancel = True
        total_datas = local_today_datas.get(code)
        order_begin_pos = cls.__get_order_begin_pos(
            code)
        if cancel_type != trade_constant.CANCEL_TYPE_HUMAN:
            # 是否是交易队列触发
            # 扫入下单只有L撤能撤单
            if order_begin_pos and order_begin_pos.mode == OrderBeginPosInfo.MODE_RADICAL and cancel_type not in {
                trade_constant.CANCEL_TYPE_L_DOWN, trade_constant.CANCEL_TYPE_L, trade_constant.CANCEL_TYPE_RD,
                trade_constant.CANCEL_TYPE_P}:
                l2_log.cancel_debug(code, "撤单中断,原因:{}", "扫入下单不是L撤")
                return False
            # 加绿只有L撤/人撤生效
            if gpcode_manager.GreenListCodeManager().is_in_cache(code):
                if cancel_type not in {trade_constant.CANCEL_TYPE_L, trade_constant.CANCEL_TYPE_L_UP,
                                       trade_constant.CANCEL_TYPE_L_DOWN, trade_constant.CANCEL_TYPE_RD,
                                       trade_constant.CANCEL_TYPE_P}:
                    l2_log.cancel_debug(code, "撤单中断,原因:{}", "加绿不是L撤")
                    return False
 
            if not total_datas:
                return False
            if source == "trade_queue":
                # 交易队列触发的需要下单后5s
                if order_begin_pos.buy_exec_index is not None and order_begin_pos.buy_exec_index > 0:
                    now_time_str = tool.get_now_time_str()
                    if tool.trade_time_sub(now_time_str,
                                           total_datas[order_begin_pos.buy_exec_index]["val"]["time"]) < 5:
                        return False
 
            if code in cls.unreal_buy_dict:
                cls.unreal_buy_dict.pop(code)
                # 取消买入标识
                trade_result_manager.virtual_cancel_success(code, order_begin_pos.buy_single_index,
                                                            order_begin_pos.buy_exec_index, total_datas)
            else:
                can_cancel, reason = cls.__can_cancel(code)
                if not can_cancel:
                    # 不能取消且不是人工撤单
                    l2_log.cancel_debug(code, "撤单中断,原因:{}", reason)
                    l2_log.debug(code, "撤单中断,原因:{}", reason)
                    return False
 
        if finally_can_cancel:
            if cancel_index is None:
                cancel_index = total_datas[-1]["index"]
            cls.__LatestCancelIndexManager.set_latest_cancel_index(code, cancel_index)
 
            # 记录撤单日志
            real_place_order_index = SCancelBigNumComputer().get_real_place_order_index_cache(code)
            # 添加撤单日志记录
            trade_record_log_util.add_cancel_msg_log(code, real_place_order_index, msg)
            cancel_result = cls.__cancel_buy(code)
            if cancel_result:
                trade_result_manager.real_cancel_success(code, order_begin_pos.buy_single_index,
                                                         order_begin_pos.buy_exec_index, total_datas,
                                                         from_real_cancel=True)
            l2_log.debug(code, "执行撤单结束,原因:{}", msg)
        return True
 
    # 虚拟下单
    @classmethod
    def __virtual_buy(cls, code, buy_single_index, buy_exec_index, capture_time):
        cls.unreal_buy_dict[code] = (buy_exec_index, capture_time)
        trade_result_manager.virtual_buy_success(code)
 
    @classmethod
    def __process_with_find_exec_index(cls, code, order_begin_pos: OrderBeginPosInfo, compute_end_index, block_info):
        """
        处理找到执行位置
        @return:
        """
        total_datas = local_today_datas.get(code)
        l2_log.debug(code, "获取到买入执行位置:{} m值:{} 纯买手数:{} 纯买单数:{} 是否板上买:{} 数据:{} ,量比:{} ,下单模式:{}",
                     order_begin_pos.buy_exec_index,
                     order_begin_pos.threshold_money,
                     order_begin_pos.num,
                     order_begin_pos.count, order_begin_pos.at_limit_up, total_datas[order_begin_pos.buy_exec_index],
                     cls.volume_rate_info[code], order_begin_pos.mode)
        cls.__save_order_begin_data(code, order_begin_pos)
        cls.__LimitUpTimeManager.save_limit_up_time(code, total_datas[order_begin_pos.buy_exec_index]["val"]["time"])
        l2_log.debug(code, "delete_buy_cancel_point")
        if code not in cls.__latest_exec_indexes:
            cls.__latest_exec_indexes[code] = []
        cls.__latest_exec_indexes[code].append(order_begin_pos.buy_exec_index)
        # 保留最近3次的买入执行位置
        if len(cls.__latest_exec_indexes[code]) > 3:
            cls.__latest_exec_indexes[code] = cls.__latest_exec_indexes[code][-3:]
 
        # 直接下单
        ordered = cls.__buy(code, 0, total_datas[-1], total_datas[-1]["index"], True, block_info=block_info)
 
        # 数据是否处理完毕
        if order_begin_pos.buy_exec_index < compute_end_index:
            if ordered:
                cls.__process_order(code, order_begin_pos.buy_exec_index + 1, compute_end_index, 0, True,
                                    False)
            else:
                cls.__start_compute_buy(code, order_begin_pos.buy_exec_index + 1, compute_end_index,
                                        order_begin_pos.threshold_money,
                                        0,
                                        True, False)
        return ordered
 
    @classmethod
    def __start_compute_buy(cls, code, compute_start_index, compute_end_index, threshold_money, capture_time,
                            is_first_code,
                            new_add=True):
 
        # 中断当前批次买入数据处理
        if cls.__break_current_batch_data_for_buy_dict.get(code):
            return
 
        # 判断下次买入时间是否正确
        if code in cls.__next_buy_time_dict and t.time() < cls.__next_buy_time_dict[code]:
            l2_log.debug(code, f"下次可下单时间({compute_start_index}-{compute_end_index}):{cls.__next_buy_time_dict[code]}")
            return
        if code in cls.__next_buy_time_dict:
            cls.__next_buy_time_dict.pop(code)
 
        if compute_end_index < compute_start_index:
            return
 
        unique_key = f"{code}-{compute_start_index}-{compute_end_index}"
        if cls.__latest_process_not_order_unique_keys_count.get(
                unique_key) and cls.__latest_process_not_order_unique_keys_count.get(unique_key) > 2:
            async_log_util.error(logger_l2_error,
                                 f"重复处理数据:code-{code} start_index-{compute_start_index} end_index-{compute_end_index}")
            return
        if unique_key not in cls.__latest_process_not_order_unique_keys_count:
            cls.__latest_process_not_order_unique_keys_count[unique_key] = 0
        cls.__latest_process_not_order_unique_keys_count[unique_key] += 1
 
        _start_time = tool.get_now_timestamp()
        total_datas = local_today_datas[code]
 
        # ---------计算激进买入的信号---------
        radical_result = cls.__compute_radical_order_begin_pos(code, compute_start_index, compute_end_index)
 
        if radical_result[0]:
            buy_single_index, buy_exec_index = radical_result[1], radical_result[1]
            buy_volume_rate = cls.volume_rate_info[code][0]
            refer_sell_data = cls.__L2MarketSellManager.get_refer_sell_data(code, total_datas[buy_single_index]["val"][
                "time"])
            if refer_sell_data:
                sell_info = (refer_sell_data[0], refer_sell_data[1])
            else:
                sell_info = (total_datas[buy_single_index]["val"]["time"], 0)
            threshold_money = 0
 
            order_begin_pos_info = OrderBeginPosInfo(buy_single_index=buy_single_index,
                                                     buy_exec_index=buy_exec_index,
                                                     buy_compute_index=buy_exec_index,
                                                     num=total_datas[buy_single_index]["val"]["num"], count=1,
                                                     max_num_set=set(),
                                                     buy_volume_rate=buy_volume_rate,
                                                     mode=OrderBeginPosInfo.MODE_RADICAL,
                                                     mode_desc=f"大单不足扫入:{radical_result[2]}",
                                                     sell_info=sell_info,
                                                     threshold_money=threshold_money)
            order_begin_pos_info.at_limit_up = cls.__is_at_limit_up_buy(code)
            ordered = cls.__process_with_find_exec_index(code, order_begin_pos_info, compute_end_index,
                                                         block_info=radical_result[3])
            if ordered:
                radical_buy_data_manager.BlockPlaceOrderRecordManager().add_record(code, radical_result[2])
                # 监听大单
                RDCancelBigNumComputer().set_watch_indexes(code, radical_result[4])
            return
        else:
            radical_result = cls.__compute_radical_order_begin_pos_for_many_sell(code, compute_start_index,
                                                                                 compute_end_index)
            if radical_result[0]:
                buy_single_index, buy_exec_index = radical_result[0][0], radical_result[0][1]
                buy_volume_rate = cls.volume_rate_info[code][0]
                refer_sell_data = cls.__L2MarketSellManager.get_refer_sell_data(code,
                                                                                total_datas[buy_single_index]["val"][
                                                                                    "time"])
                if refer_sell_data:
                    sell_info = (refer_sell_data[0], refer_sell_data[1])
                else:
                    sell_info = (total_datas[buy_single_index]["val"]["time"], 0)
                threshold_money = 0
 
                order_begin_pos_info = OrderBeginPosInfo(buy_single_index=buy_single_index,
                                                         buy_exec_index=buy_exec_index,
                                                         buy_compute_index=buy_exec_index,
                                                         num=total_datas[buy_single_index]["val"]["num"], count=1,
                                                         max_num_set=set(),
                                                         buy_volume_rate=buy_volume_rate,
                                                         mode=OrderBeginPosInfo.MODE_RADICAL,
                                                         mode_desc=f"总抛压大扫入:{radical_result[2]}",
                                                         sell_info=sell_info,
                                                         threshold_money=threshold_money)
                order_begin_pos_info.at_limit_up = cls.__is_at_limit_up_buy(code)
                ordered = cls.__process_with_find_exec_index(code, order_begin_pos_info, compute_end_index,
                                                             block_info=radical_result[2])
                if ordered:
                    radical_buy_data_manager.BlockPlaceOrderRecordManager().add_record(code, radical_result[2])
        if RadicalBuyDealCodesManager().get_code_blocks(code):
            # 已经扫入下过单
            return
 
        if not constant.CAN_COMMON_BUY:
            # 常规买不买入了
            return
 
        # 获取买入信号计算起始位置
        order_begin_pos = cls.__get_order_begin_pos(code)
 
        # 是否为新获取到的位置
        new_get_single = False
        buy_single_index = order_begin_pos.buy_single_index
        if buy_single_index is None:
            # ------------------------------确定信号种类----------------------------------
            # 第一步:获取积极下单信号
            # if code.find('60') == 0:
            # 积极买
            continue_count = 1
            has_single, _index, sell_info, single_msg, mode = cls.__compute_active_order_begin_pos(code, continue_count,
                                                                                                   compute_start_index,
                                                                                                   compute_end_index)
            if not has_single:
                # 没有信号,如果当前数据是涨停买就记录日志,防止记录过多的日志
                if L2DataUtil.is_limit_up_price_buy(
                        total_datas[compute_start_index]["val"]) and L2DataUtil.is_limit_up_price_buy(
                    total_datas[compute_end_index]["val"]):
                    async_log_util.info(logger_l2_trade_buy_queue,
                                        "尚未获取到买入信号: code-{} start_index-{}  end_index-{} msg-{}", code,
                                        compute_start_index, compute_end_index, sell_info)
            fast_msg = None
            if has_single:
                order_begin_pos.mode = mode
                order_begin_pos.mode_desc = f"委托触发: {single_msg}"
                order_begin_pos.sell_info = sell_info
                fast_msg = sell_info
                # 用了信号就必须清除掉原有信号
                place_order_single_data_manager.L2TradeSingleDataManager.clear_data(code)
 
            if cls.__last_buy_single_dict.get(code) == _index:
                has_single = None
                _index = None
            buy_single_index = _index
            if has_single:
                # 判断是否是板上买
                order_begin_pos.at_limit_up = cls.__is_at_limit_up_buy(code)
                # -----------------------------买入计算初始化,计算纯买额阈值-----------------------
                cls.__last_buy_single_dict[code] = buy_single_index
                new_get_single = True
                order_begin_pos.num = 0
                order_begin_pos.count = 0
                order_begin_pos.buy_single_index = buy_single_index
                order_begin_pos.threshold_money = int(sell_info[1] * 1.0)
                order_begin_pos.max_num_set = set()
 
                l2_log.debug(code, "获取到买入信号起始点:{} ,计算范围:{}-{} ,量比:{},是否板上买:{},数据:{} 模式:{}({}) 信号类型:{}",
                             buy_single_index,
                             compute_start_index,
                             compute_end_index, cls.volume_rate_info[code], order_begin_pos.at_limit_up,
                             total_datas[buy_single_index],
                             order_begin_pos.mode, fast_msg, single_msg)
 
        # _start_time = l2_data_log.l2_time(code, tool.get_now_timestamp() - _start_time, "下单信号计算时间")
 
        if order_begin_pos.buy_single_index is None:
            # 未获取到买入信号,终止程序
            return None
 
        # 开始计算的位置
        start_process_index = max(order_begin_pos.buy_single_index, compute_start_index)
        if new_get_single:
            start_process_index = order_begin_pos.buy_single_index
 
        # 设置为总卖额
        new_buy_exec_index, buy_nums, buy_count, rebegin_buy_pos, threshold_money_new, max_num_set_new, not_buy_msg, clear_buy_single = cls.__sum_buy_num_for_order_active(
            code,
            start_process_index,
            compute_end_index,
            order_begin_pos.num,
            order_begin_pos.count,
            order_begin_pos.threshold_money,
            order_begin_pos.buy_single_index, order_begin_pos.max_num_set, order_begin_pos.sell_info[1])
        threshold_money = threshold_money_new
        order_begin_pos.threshold_money = threshold_money
 
        l2_log.debug(code, "范围:{}-{} m值-{} 量比:{} rebegin_buy_pos:{} clear_buy_single:{}", compute_start_index,
                     compute_end_index,
                     threshold_money, cls.volume_rate_info[code][0],
                     rebegin_buy_pos, clear_buy_single)
 
        # 买入信号位与计算位置间隔2s及以上了
        if rebegin_buy_pos is not None:
            # 需要重新计算纯买额
            cls.__start_compute_buy(code, rebegin_buy_pos, compute_end_index, threshold_money, capture_time,
                                    is_first_code, False)
            return
 
        if new_buy_exec_index is not None:
            cls.__process_with_find_exec_index(code, OrderBeginPosInfo(buy_single_index=buy_single_index,
                                                                       buy_exec_index=new_buy_exec_index,
                                                                       buy_compute_index=new_buy_exec_index,
                                                                       num=buy_nums, count=buy_count,
                                                                       max_num_set=max_num_set_new,
                                                                       buy_volume_rate=cls.volume_rate_info[code][0],
                                                                       mode=order_begin_pos.mode,
                                                                       mode_desc=order_begin_pos.mode_desc,
                                                                       sell_info=order_begin_pos.sell_info,
                                                                       threshold_money=threshold_money),
                                               compute_end_index, block_info=None)
        else:
            # 未达到下单条件,保存纯买额,设置纯买额
            # 记录买入信号位置
            if not clear_buy_single:
                # 没有清除信号位置就保存下单位置信息
                cls.__save_order_begin_data(code,
                                            OrderBeginPosInfo(buy_single_index=buy_single_index, buy_exec_index=-1,
                                                              buy_compute_index=compute_end_index, num=buy_nums,
                                                              count=buy_count,
                                                              mode_desc=order_begin_pos.mode_desc,
                                                              max_num_set=max_num_set_new, mode=order_begin_pos.mode,
                                                              sell_info=order_begin_pos.sell_info,
                                                              threshold_money=threshold_money))
                # 记录没下单原因
                async_log_util.info(logger_l2_not_buy_reasons, f"{code}#{not_buy_msg}")
                _start_time = t.time()
 
    # 获取下单起始信号
    @classmethod
    def __get_order_begin_pos(cls, code) -> OrderBeginPosInfo:
        order_begin_pos = cls.__TradePointManager.get_buy_compute_start_data_cache(
            code)
        return order_begin_pos
 
    # 保存下单起始信号
    @classmethod
    def __save_order_begin_data(cls, code, info: OrderBeginPosInfo):
        cls.__TradePointManager.set_buy_compute_start_data_v2(code, info)
 
    @classmethod
    def save_order_begin_data(cls, code, info: OrderBeginPosInfo):
        cls.__save_order_begin_data(code, info)
 
    # 计算下单起始信号
    # compute_data_count 用于计算的l2数据数量
    @classmethod
    def __compute_order_begin_pos(cls, code, start_index, continue_count, end_index):
 
        second_930 = 9 * 3600 + 30 * 60 + 0
        # 倒数100条数据查询
        datas = local_today_datas[code]
        if end_index - start_index + 1 < continue_count:
            return False, None
        __time = None
 
        last_index = None
        count = 0
        start = None
        # now_time_s = tool.get_time_as_second(tool.get_now_time_str())
        for i in range(start_index, end_index + 1):
            _val = datas[i]["val"]
            time_s = L2DataUtil.get_time_as_second(_val["time"])
            # 时间要>=09:30:00
            if time_s < second_930:
                continue
 
            # if not constant.TEST:
            #     if abs(now_time_s - time_s) > 2:
            #         # 正式环境下不处理2s外的数据
            #         continue
 
            if L2DataUtil.is_limit_up_price_buy(_val):
                # 金额要大于50万
                if _val["num"] * float(_val["price"]) < 5000:
                    continue
                # 寻找前面continue_count-1个涨停买
                # for j in range(start_index - 1, -1, -1):
                #     if  datas[j]["val"]
                if last_index is None or (datas[last_index]["val"]["time"] == datas[i]["val"]["time"]):
                    if start is None:
                        start = i
                    last_index = i
                    count += datas[i]["re"]
                    if count >= continue_count:
                        return True, start
                else:
                    # 本条数据作为起点
                    last_index = i
                    count = datas[i]["re"]
                    start = i
 
            elif not L2DataUtil.is_sell(_val) and not L2DataUtil.is_sell_cancel(_val):
                # 剔除卖与卖撤
                last_index = None
                count = 0
                start = None
 
        return False, None
 
    # 快速买入法的信号位置查找
    @classmethod
    def __compute_fast_order_begin_pos(cls, code, start_index, end_index):
        total_datas = local_today_datas[code]
        start_time_str = total_datas[start_index]["val"]["time"]
        refer_sell_data = cls.__L2MarketSellManager.get_refer_sell_data(code, start_time_str)
        if refer_sell_data is None:
            return False, -1, "总卖为空"
        if cls.__L2MarketSellManager.is_refer_sell_time_used(code, refer_sell_data[0]):
            return False, -1, "总卖统计时间已被使用"
        # 是否大于2000万
        if refer_sell_data[1] <= 2000 * 10000:
            return False, -1, "总卖小于指定金额"
        # 统计之前的卖
        threshold_money = refer_sell_data[1]
        for i in range(start_index - 1, -1, -1):
            val = total_datas[i]["val"]
            if tool.compare_time(val["time"], refer_sell_data[0]) <= 0:
                break
            if L2DataUtil.is_sell(val):
                threshold_money += val["num"] * int(float(val["price"]) * 100)
            elif L2DataUtil.is_sell_cancel(val):
                threshold_money -= val["num"] * int(float(val["price"]) * 100)
        # 是否为本秒的第一个涨停买
        for i in range(start_index, end_index + 1):
            data = total_datas[i]
            val = data['val']
            if not L2DataUtil.is_limit_up_price_buy(val):
                # 要统计卖与卖撤
                if L2DataUtil.is_sell(val):
                    threshold_money += val["num"] * int(float(val["price"]) * 100)
                elif L2DataUtil.is_sell_cancel(val):
                    threshold_money -= val["num"] * int(float(val["price"]) * 100)
                continue
            # 50 万以下的不需要
            if val["num"] * float(val["price"]) < 5000:
                continue
            # 是否为本s的第一次涨停
            is_first_limit_up = True
            for j in range(i - 1, -1, -1):
                temp_val = total_datas[j]["val"]
                if temp_val["time"] == val["time"]:
                    if L2DataUtil.is_limit_up_price_buy(temp_val) and temp_val["num"] * float(
                            temp_val["price"]) >= 5000:
                        is_first_limit_up = True
                        break
                else:
                    break
            if is_first_limit_up:
                return True, i, [refer_sell_data[0], threshold_money]
        return False, None, None
 
    @classmethod
    def __get_active_single_start_index(cls, code, start_index, end_index, continue_count, valid_single=False):
        """
        获取主动买的信号起始索引
        @param code:
        @param start_index:
        @param end_index:
        @param continue_count:
        @param valid_single: 是否验证成交买入信号
        @return:
        """
        total_datas = local_today_datas[code]
        last_index = None
        count = 0
        start = None
        for i in range(start_index, end_index + 1):
            _val = total_datas[i]["val"]
            if L2DataUtil.is_limit_up_price_buy(_val):
                # 时间要>=09:30:00
                if tool.trade_time_sub(_val["time"], "09:30:00") < 0:
                    continue
                # 金额要大于50万
                if _val["num"] * float(_val["price"]) < 5000:
                    continue
                if last_index is None or (
                        total_datas[last_index]["val"]["time"] == total_datas[i]["val"]["time"]):
                    # 深证非板上放量需要判断是否有信号
                    if valid_single:
                        _single = place_order_single_data_manager.L2TradeSingleDataManager.get_valid_trade_single(
                            code,
                            tool.to_time_with_ms(
                                _val['time'],
                                _val['tms']))
                        if not _single:
                            continue
                    if start is None:
                        start = i
                    last_index = i
                    count += total_datas[i]["re"]
                    if count >= continue_count:
                        return start
                else:
                    # 本条数据作为起点
                    last_index = i
                    count = total_datas[i]["re"]
                    start = i
            elif not L2DataUtil.is_sell(_val) and not L2DataUtil.is_sell_cancel(_val):
                # 剔除卖与卖撤
                last_index = None
                count = 0
                start = None
        return None
 
    # 计算积极买的下单信号
    @classmethod
    def __compute_active_order_begin_pos(cls, code, continue_count, start_index, end_index):
        """
        计算买入信号
        @param code:
        @param continue_count:
        @param start_index:
        @param end_index:
        @return:
        """
        total_datas = local_today_datas[code]
        start_time_str = total_datas[start_index]["val"]["time"]
        if end_index - start_index + 1 < continue_count:
            return False, -1, "信号不连续", '', OrderBeginPosInfo.MODE_NORMAL
        # 获取最近的总卖信息
        # (time_str, round(money), volume, sell_1_info)
        refer_sell_data = cls.__L2MarketSellManager.get_refer_sell_data(code, start_time_str)
        active_buy_blocks = cls.get_active_buy_blocks(code)
        if tool.is_sh_code(code):
            if refer_sell_data is None:
                # 设置默认卖信息
                refer_sell_data = (start_time_str, 0, 0, (round(float(total_datas[start_index]["val"]["price"]), 2), 0))
            # 上证:只要有一个涨停买的就是信号
            for i in range(start_index, end_index + 1):
                _val = total_datas[i]["val"]
                if not L2DataUtil.is_limit_up_price_buy(_val):
                    continue
                # 时间要>=09:30:00
                if tool.trade_time_sub(_val["time"], "09:30:00") < 0:
                    continue
                # 金额要大于50万
                if _val["num"] * float(_val["price"]) < 5000:
                    continue
 
                return True, i, [refer_sell_data[0],
                                 0], '上证买入', OrderBeginPosInfo.MODE_ACTIVE if active_buy_blocks else OrderBeginPosInfo.MODE_FAST
            return False, -1, "未获取到积极买的起始信号", '', OrderBeginPosInfo.MODE_NORMAL
        else:
            # 深证
            if refer_sell_data is None:
                return False, -1, "总卖为空", '', OrderBeginPosInfo.MODE_NORMAL
            if refer_sell_data is None:
                refer_sell_data = (start_time_str, 0, 0, (round(float(total_datas[start_index]["val"]["price"]), 2), 0))
                l2_log.debug(code, f"丢失总卖额,设置默认为0,计算范围:{start_index}-{end_index}")
            # 判断是否为真的板上放量
            single = place_order_single_data_manager.L2TradeSingleDataManager.get_valid_trade_single(
                code,
                tool.to_time_with_ms(total_datas[end_index]['val']['time'], total_datas[end_index]['val']['tms']))
            trade_price_info = HuaXinSellOrderStatisticManager.get_latest_trade_price_info(code)
            limit_up_price = gpcode_manager.get_limit_up_price(code)
            # p
            is_limit_up = False
            if limit_up_price and trade_price_info and abs(trade_price_info[0] - float(limit_up_price)) < 0.001:
                is_limit_up = True
            if refer_sell_data[1] > 0 or single or not is_limit_up:
                # 不是板上放量
                # 判断最近有没有涨停卖数据
                limit_up_sell_count = L2TradeSingleDataProcessor.get_latest_limit_up_sell_order_count(code)
                if (limit_up_sell_count == 0 or active_buy_blocks) and not single:
 
                    # 如果没有涨停卖数据/积极下单而且还没有成交买入信号,就按照原来的总卖额计算
                    threshold_money, sell_1_price = copy.deepcopy(refer_sell_data[1]), refer_sell_data[3][0]
                    for i in range(start_index - 1, -1, -1):
                        val = total_datas[i]["val"]
                        if tool.compare_time(val["time"], refer_sell_data[0]) < 0:
                            # 读取的L2的总卖额是不包含当前s的数据,所以需要将当前s的数据纳入计算
                            break
                        if L2DataUtil.is_sell(val):
                            threshold_money += val["num"] * int(float(val["price"]) * 100)
                        elif L2DataUtil.is_sell_cancel(val):
                            threshold_money -= val["num"] * int(float(val["price"]) * 100)
                        elif L2DataUtil.is_buy(val):
                            # 判断价格(大于卖1) 被买吃掉
                            if round(float(val["price"]), 2) - sell_1_price >= 0:
                                threshold_money -= val["num"] * int(float(val["price"]) * 100)
                    buy_single_index = cls.__get_active_single_start_index(code, start_index, end_index, continue_count,
                                                                           valid_single=False)
                    if buy_single_index is not None:
                        return True, buy_single_index, [refer_sell_data[0],
                                                        threshold_money], f"上板无涨停卖:涨停卖数据-{limit_up_sell_count}", OrderBeginPosInfo.MODE_ACTIVE if active_buy_blocks else OrderBeginPosInfo.MODE_NORMAL
 
                else:
                    # 按照成交买入信号计算
                    buy_single_index = cls.__get_active_single_start_index(code, start_index, end_index, continue_count,
                                                                           valid_single=True)
                    if buy_single_index is not None:
                        return True, buy_single_index, [refer_sell_data[0],
                                                        0], "上板有成交买入信号", OrderBeginPosInfo.MODE_ACTIVE if active_buy_blocks else OrderBeginPosInfo.MODE_FAST
            else:
                # 板上放量:只需要一笔涨停买可作为信号
                buy_single_index = cls.__get_active_single_start_index(code, start_index, end_index, continue_count,
                                                                       valid_single=False)
                if buy_single_index is not None:
                    return True, buy_single_index, [refer_sell_data[0],
                                                    0], "板上放量", OrderBeginPosInfo.MODE_ACTIVE if active_buy_blocks else OrderBeginPosInfo.MODE_NORMAL
 
        return False, -1, "未获取到积极买的起始信号", '', OrderBeginPosInfo.MODE_NORMAL
 
    # 计算激进买的下单信号
    # 计算激进买的下单信号
    @classmethod
    def __compute_radical_order_begin_pos(cls, code, start_index, end_index):
        """
        计算激进买入信号:
        1.非板上放量
        2.检测到299万大单买入
        @param code:
        @param start_index:
        @param end_index:
        @return: (是否获取到信号, 信号位置, 扫入板块/消息, 扫入板块大单流入信息, 需要监听的大单)
        """
 
        # 激进买信号的时间
 
        def __can_order():
            # 判断是否是板上放量
            if cls.__is_at_limit_up_buy(code, start_index):
                return False, None, "板上放量", None
            total_datas = local_today_datas[code]
            limit_up_price = gpcode_manager.get_limit_up_price_as_num(code)
            bigger_money = l2_data_util.get_big_money_val(limit_up_price, tool.is_ge_code(code))
            min_num = int(bigger_money / limit_up_price / 100)
 
            refer_sell_data = L2MarketSellManager().get_refer_sell_data(code, radical_data[3])
            # 参考总卖额
            refer_sell_money = 0
            if refer_sell_data:
                refer_sell_money = refer_sell_data[1]
            big_order_deal_enough_result = radical_buy_data_manager.is_big_order_deal_enough(code,
                                                                                             code_volumn_manager.CodeVolumeManager().get_volume_rate_refer_in_5days(
                                                                                                 code),
                                                                                             refer_sell_money,
                                                                                             for_buy=True,
                                                                                             is_almost_open_limit_up=
                                                                                             radical_data[5])
            # 缺乏的大单金额
            lack_money = big_order_deal_enough_result[3]
            # 如果有大单成交就不需要看大单
            if constant.CAN_RADICAL_BUY_NEED_BIG_ORDER_EVERYTIME:
                # 每次下单都需要大单
                current_big_order_deal_money_info = EveryLimitupBigDealOrderManager.get_big_buy_deal_order_money_info(
                    code)
                if current_big_order_deal_money_info and tool.trade_time_sub(tool.get_now_time_str(),
                                                                             current_big_order_deal_money_info[1]) > 60:
                    # 60s以上就不下单了
                    return False, None, "距离上次统计大单时间过去60s", set()
 
            if lack_money == 0:
                if not tool.is_sh_code(code):
                    # 非上证的票看50w
                    min_num = int(5000 / limit_up_price)
            # 需要监听的大单
            watch_indexes = set()
            # 总委托大单金额
            total_delegating_big_money = 0
            single_index = None
            # 从成交进度位开始看
            trade_index, is_default = cls.__TradeBuyQueue.get_traded_index(code)
            if trade_index is None:
                trade_index = 0
            canceled_buyno_map = local_today_canceled_buyno_map.get(code)
            for i in range(trade_index, end_index + 1):
                data = total_datas[i]
                val = data["val"]
                if not L2DataUtil.is_limit_up_price_buy(val):
                    continue
                if val["num"] < min_num:
                    continue
                # 撤单不算
                left_count = l2_data_source_util.L2DataSourceUtils.get_limit_up_buy_no_canceled_count_v2(code, i,
                                                                                                         total_datas,
                                                                                                         canceled_buyno_map)
                if left_count == 0:
                    continue
 
                # 上证有可能是部分成交的大单
                if i == start_index and tool.is_sh_code(code):
                    dealing_active_order_info = HuaXinBuyOrderManager().get_dealing_active_order_info(code)
                    if dealing_active_order_info and dealing_active_order_info[0] == int(val["orderNo"]):
                        # 判断是否为大单
                        order_money = dealing_active_order_info[2] + round(val["price"], 2) * val["num"] * 100
                        if order_money >= bigger_money:
                            lack_money -= order_money
                            watch_indexes.add(i)
                            if lack_money < 0:
                                single_index = i
                                break
 
                if int(val["orderNo"]) <= radical_data[1]:
                    # 主动买单后的数据不算
                    continue
                watch_indexes.add(i)
                lack_money -= round(val["price"], 2) * val["num"] * 100
                if lack_money < 0:
                    single_index = i
                    break
            if single_index is not None:
                return True, single_index, "有大单", watch_indexes
            return False, None, f"大单不足:{trade_index}-{end_index}  缺少的大单-{lack_money}", watch_indexes
 
        radical_data = RadicalBuyDealCodesManager.buy_by_l2_delegate_expire_time_dict.get(code)
        record_codes = radical_buy_data_manager.BlockPlaceOrderRecordManager().get_codes()
        # 是否扫入过
        is_radical_buy = code in record_codes
 
        if not radical_data:
            return False, None, "不满足激进买的条件"
 
        if constant.CAN_RADICAL_BUY_AT_LIMIT_UP:
            # 板上放量可扫入
            if t.time() > radical_data[0] and not is_radical_buy:
                # 没扫入过才需要判断时间
                return False, None, "超过生效时间"
        else:
            # 板上放量不可扫入
            if t.time() > radical_data[0]:
                return False, None, "超过生效时间"
 
        result = __can_order()
        l2_log.debug(code, f"L2扫入判断:{result}")
        if result[0]:
            # 已经扫入下过单且允许板上放量扫入的就需要判断板上放量的距离
            if is_radical_buy and constant.CAN_RADICAL_BUY_AT_LIMIT_UP:
                is_limit_up_buy = cls.__is_at_limit_up_buy(code)
                if is_limit_up_buy:
                    # 判断成交进度到当前数据的笔数,如果少于10笔且还有未成交的大单(>=299)就可以下单
                    trade_index, is_default = cls.__TradeBuyQueue.get_traded_index(code)
                    if trade_index is None:
                        trade_index = 0
                    can_place_order, msg = buy_strategy_util.is_near_by_trade_index(code, trade_index)
                    if not can_place_order:
                        return False, result[1], "扫入过的代码板上放量距离远"
                    else:
                        # 判断该板块前排是否已经有成交
                        deal_codes = RadicalBuyDealCodesManager().get_deal_codes()
                        buy_blocks = radical_buy_data_manager.is_block_can_radical_buy(code, radical_data[2],
                                                                                       deal_codes)
                        if not buy_blocks:
                            return False, result[1], f"板块代码已有成交:{radical_data[2]}"
            # 如果板上放量不可买入就需要删除信号
            if not constant.CAN_RADICAL_BUY_AT_LIMIT_UP and code in RadicalBuyDealCodesManager.buy_by_l2_delegate_expire_time_dict:
                RadicalBuyDealCodesManager.buy_by_l2_delegate_expire_time_dict.pop(code)
            return True, result[1], radical_data[2], radical_data[4], result[3]
        else:
            async_log_util.info(logger_l2_not_buy_reasons, f"{code}#{result[2]}")
        return result
 
    # 总卖额参考时间使用记录
    __refer_sell_used_times = {}
 
    @classmethod
    def __compute_radical_order_begin_pos_for_many_sell(cls, code, start_index, end_index):
        """
        计算深证高抛压的卖的买入信号
        @param code:
        @param start_index:
        @param end_index:
        @return: 信号信息(信号位,执行位), 消息, 可买入的板块
        """
        if not tool.is_sz_code(code):
            return None, "非深证的票", None
        # 判断抛压是否大于5000w
        total_datas = local_today_datas.get(code)
        refer_sell_data = cls.__L2MarketSellManager.get_refer_sell_data(code, total_datas[-1]["val"]["time"])
        if not refer_sell_data or refer_sell_data[1] < 5e7:
            return None, "总卖额小于5000万", None
        if code in cls.__refer_sell_used_times and refer_sell_data[0] in cls.__refer_sell_used_times:
            return None, f"时间已经被使用:{refer_sell_data[0]}", None
 
        deal_codes = RadicalBuyDealCodesManager().get_deal_codes()
        if code in deal_codes:
            return None, f"已经成交", None
 
        f_buy_blocks, orgin_buy_blocks = radical_buy_strategy.compute_can_radical_buy_blocks(code, deal_codes)
        if not f_buy_blocks:
            return None, f"板块不可买入", None
 
        # 判断是否有涨停买的数据
        has_limit_up = False
        for i in range(start_index, end_index + 1):
            data = total_datas[i]
            val = data["val"]
            if L2DataUtil.is_limit_up_price_buy(val):
                has_limit_up = True
                break
        if not has_limit_up:
            return None, "无涨停买数据", None
        # 查找计数起点
        refer_sell_time_int = int(refer_sell_data[0].replace(":", ""))
        begin_index = start_index
        for i in range(start_index - 1, -1, -1):
            data = total_datas[i]
            val = data["val"]
            if int(val["time"].replace(":", "")) < refer_sell_time_int:
                begin_index = i + 1
                break
        threshold_num = int(round(refer_sell_data[1] / gpcode_manager.get_limit_up_price_as_num(code) / 100))
        total_num = 0
        for i in range(begin_index, end_index + 1):
            data = total_datas[i]
            val = data["val"]
            if L2DataUtil.is_limit_up_price_buy(val):
                total_num += val["num"]
            elif L2DataUtil.is_limit_up_price_buy_cancel(val):
                total_num -= val["num"]
        if total_num > threshold_num:
            if code not in cls.__refer_sell_used_times:
                cls.__refer_sell_used_times[code] = set()
            cls.__refer_sell_used_times[code].add(refer_sell_data[0])
            return (begin_index, end_index), "可以下单", f_buy_blocks
        return None, "总买额不满足", None
 
    @classmethod
    def test__compute_active_order_begin_pos(cls, code, continue_count, start_index, end_index):
        return cls.__compute_active_order_begin_pos(code, continue_count, start_index, end_index)
 
    @classmethod
    def __get_threshmoney(cls, code):
        m, msg = cls.__l2PlaceOrderParamsManagerDict[code].get_m_val()
        if trade_manager.CodesTradeStateManager().get_trade_state_cache(code) == trade_constant.TRADE_STATE_NOT_TRADE:
            # 首次下单m值扩大1.5倍
            m = int(m * 1.5)
        return m, msg
 
    # 计算万手哥笔数
    @classmethod
    def __compute_big_money_count(cls, total_datas, start_index, end_index):
        count = 0
        for i in range(start_index, end_index + 1):
            if L2DataUtil.is_limit_up_price_buy(total_datas[i]["val"]):
                count += total_datas[i]["re"]
            elif L2DataUtil.is_limit_up_price_buy_cancel(total_datas[i]["val"]):
                count -= total_datas[i]["re"]
        return count
 
        # 将已经成交的过滤掉
 
    @classmethod
    def __filter_not_deal_indexes(cls, code, indexes):
        trade_index, is_default = transaction_progress.TradeBuyQueue().get_traded_index(code)
        if is_default:
            return indexes
        if trade_index is None:
            return indexes
        findexes = set()
        for index in indexes:
            if index < trade_index:
                continue
            findexes.add(index)
        return findexes
 
    # 返回(买入执行点, 总手, 总笔数, 从新计算起点, 纯买额阈值)
    # 计算快速买入
    @classmethod
    def __sum_buy_num_for_order_fast(cls, code, compute_start_index, compute_end_index, origin_num, origin_count,
                                     threshold_money_origin, buy_single_index, max_num_set):
        _start_time = t.time()
        total_datas = local_today_datas[code]
        # is_first_code = gpcode_manager.FirstCodeManager().is_in_first_record_cache(code)
 
        buy_nums = origin_num
        buy_count = origin_count
        limit_up_price = gpcode_manager.get_limit_up_price(code)
        if limit_up_price is None:
            raise Exception("涨停价无法获取")
        limit_up_price = float(limit_up_price)
 
        threshold_money = threshold_money_origin
        # 目标手数
        threshold_num = round(threshold_money / (limit_up_price * 100))
 
        # buy_single_time_seconds = L2DataUtil.get_time_as_second(total_datas[buy_single_index]["val"]["time"])
 
        # 可以触发买,当有涨停买信号时才会触发买
        trigger_buy = True
        # 间隔最大时间为3s
        max_space_time_ms = 3 * 1000
        # 不下单的信息
        not_buy_msg = ""
        max_buy_num_set = set(max_num_set)
        place_order_count = trade_data_manager.PlaceOrderCountManager().get_place_order_count(code)
        if place_order_count is None:
            place_order_count = 0
        is_ge_code = tool.is_ge_code(code)
        buy_no_map = local_today_buyno_map.get(code)
        for i in range(compute_start_index, compute_end_index + 1):
            data = total_datas[i]
            _val = total_datas[i]["val"]
            trigger_buy = False
            # 必须为连续2秒内的数据
            if L2DataUtil.time_sub_as_ms(_val, total_datas[buy_single_index]["val"]) > max_space_time_ms:
                cls.__TradePointManager.delete_buy_point(code)
                if i == compute_end_index:
                    # 数据处理完毕
                    return None, buy_nums, buy_count, None, threshold_money, max_buy_num_set, f"【{i}】信号不连续,囊括时间-{max_space_time_ms}ms"
                else:
                    # 计算买入信号,不能同一时间开始计算
                    for ii in range(buy_single_index + 1, compute_end_index + 1):
                        if total_datas[buy_single_index]["val"]["time"] != total_datas[ii]["val"]["time"]:
                            return None, buy_nums, buy_count, ii, threshold_money, max_buy_num_set, f"【{i}】信号不连续,囊括时间-{max_space_time_ms}ms"
            if L2DataUtil.is_sell(_val):
                threshold_money += _val["num"] * int(float(_val["price"]) * 100)
                threshold_num = round(threshold_money / (limit_up_price * 100))
            elif L2DataUtil.is_sell_cancel(_val):
                threshold_money -= _val["num"] * int(float(_val["price"]) * 100)
                threshold_num = round(threshold_money / (limit_up_price * 100))
            # 涨停买
            elif L2DataUtil.is_limit_up_price_buy(_val):
                if l2_data_util.is_big_money(_val, is_ge_code):
                    max_buy_num_set.add(i)
                trigger_buy = True
                # 只统计59万以上的金额
                buy_nums += int(_val["num"]) * int(total_datas[i]["re"])
                buy_count += int(total_datas[i]["re"])
                if buy_nums >= threshold_num:
                    l2_log.info(code, logger_l2_trade_buy,
                                f"{code}获取到买入执行点(快速买入):{i} 统计纯买手数:{buy_nums} 目标纯买手数:{threshold_num} 统计纯买单数:{buy_count}")
            elif L2DataUtil.is_limit_up_price_buy_cancel(_val):
                # 判断买入位置是否在买入信号之前
                buy_index = l2_data_source_util.L2DataSourceUtils.get_buy_index_with_cancel_data_v2(total_datas[i], buy_no_map)
                if buy_index is not None:
                    # 找到买撤数据的买入点
                    if buy_index >= buy_single_index:
                        max_buy_num_set.discard(buy_index)
                        buy_nums -= int(_val["num"]) * int(data["re"])
                        buy_count -= int(data["re"])
                        l2_log.buy_debug(code, "{}数据在买入信号之后 撤买纯买手数:{} 目标手数:{}", i, buy_nums, threshold_num)
                    else:
                        l2_log.buy_debug(code, "{}数据在买入信号之前,买入位:{}", i, buy_index)
                        if total_datas[buy_single_index]["val"]["time"] == total_datas[buy_index]["val"]["time"]:
                            # 同一秒,当作买入信号之后处理
                            buy_nums -= int(_val["num"]) * int(data["re"])
                            buy_count -= int(data["re"])
                            max_buy_num_set.discard(buy_index)
                            # 大单撤销
                            l2_log.buy_debug(code, "{}数据买入位与预估买入位在同一秒", i)
                else:
                    # 未找到买撤数据的买入点
                    l2_log.buy_debug(code, "未找到买撤数据的买入点: 位置-{} 数据-{}", i, data)
                    buy_nums -= int(_val["num"]) * int(total_datas[i]["re"])
                    buy_count -= int(total_datas[i]["re"])
            l2_log.buy_debug(code, "位置-{},总手数:{},目标手数:{}", i,
                             buy_nums, threshold_num)
            # 纯买额足够,且笔数大于5笔
            if buy_nums < threshold_num:
                not_buy_msg = f"【{i}】纯买额不够,{buy_nums}/{threshold_num}"
                continue
            if not trigger_buy:
                not_buy_msg = f"【{i}】没有买单触发"
                continue
            if buy_count < 5:
                not_buy_msg = f"【{i}】安全笔数不足,{buy_count}/{5}"
                continue
 
            max_buy_num_set = cls.__filter_not_deal_indexes(code, max_buy_num_set)
            big_money_count_threshhold = cls.__l2PlaceOrderParamsManagerDict[code].get_big_num_count()
            if len(max_buy_num_set) < big_money_count_threshhold:
                not_buy_msg = f"【{i}】大单不满足要求,需要:{big_money_count_threshhold} 总:{len(max_buy_num_set)}"
                continue
 
            try:
                info = cls.__trade_log_placr_order_info_dict[code]
                info.set_trade_factor(threshold_money, 0, [])
            except Exception as e:
                async_log_util.error(logger_l2_error, f"记录交易因子出错:{str(e)}")
 
            return i, buy_nums, buy_count, None, threshold_money, max_buy_num_set, "可以下单"
 
        l2_log.buy_debug(code, "尚未获取到买入执行点(快速买入),起始计算位置:{} 统计纯买手数:{} 目标纯买手数:{}  统计纯买单数:{}",
                         compute_start_index,
                         buy_nums,
                         threshold_num, buy_count)
 
        return None, buy_nums, buy_count, None, threshold_money, max_buy_num_set, not_buy_msg
 
    # 返回(买入执行点, 总手, 总笔数, 从新计算起点, 纯买额阈值)
    # 计算激进买入
    @classmethod
    def __sum_buy_num_for_order_active(cls, code, compute_start_index, compute_end_index, origin_num, origin_count,
                                       threshold_money_origin, buy_single_index, max_num_set, total_sell_money):
        _start_time = t.time()
        total_datas = local_today_datas[code]
        # is_first_code = gpcode_manager.FirstCodeManager().is_in_first_record_cache(code)
 
        buy_nums = origin_num
        buy_count = origin_count
        limit_up_price = gpcode_manager.get_limit_up_price(code)
        if limit_up_price is None:
            raise Exception("涨停价无法获取")
        limit_up_price = float(limit_up_price)
 
        is_at_limit_up = False
        current_sell_data = cls.__L2MarketSellManager.get_current_total_sell_data(code)
        if current_sell_data and current_sell_data[1] == 0:
            # 板上放量买
            is_at_limit_up = True
 
        threshold_money = threshold_money_origin
        # 目标手数
        threshold_num = round(threshold_money / (limit_up_price * 100))
        bigger_threshold_num = round(5000 / (limit_up_price))
 
        # buy_single_time_seconds = L2DataUtil.get_time_as_second(total_datas[buy_single_index]["val"]["time"])
 
        # 可以触发买,当有涨停买信号时才会触发买
        trigger_buy = True
        # 间隔最大时间为3s
        max_space_time_ms = 3 * 1000
        if tool.is_sz_code(code) and not is_at_limit_up:
            # 深证非板上放量
            max_space_time_ms = 1 * 1000
 
        # 上证的间隔时间为1s
        if tool.is_sh_code(code):
            max_space_time_ms = 1 * 1000
 
        # 不下单的信息
        not_buy_msg = ""
        max_buy_num_set = set(max_num_set)
        active_buy_blocks = cls.get_active_buy_blocks(code)
        is_ge_code = tool.is_ge_code(code)
        buyno_map = local_today_buyno_map.get(code)
        for i in range(compute_start_index, compute_end_index + 1):
            data = total_datas[i]
            _val = total_datas[i]["val"]
            trigger_buy = False
            # 必须为连续2秒内的数据
            if L2DataUtil.time_sub_as_ms(_val, total_datas[buy_single_index]["val"]) > max_space_time_ms:
                # 清除买点数据
                cls.__TradePointManager.delete_buy_point(code)
                if i == compute_end_index:
                    # 数据处理完毕
                    return None, buy_nums, buy_count, None, threshold_money, max_buy_num_set, f"【{i}】信号不连续,囊括时间-{max_space_time_ms}ms", True
                else:
                    # 计算买入信号,不能同一时间开始计算
                    for ii in range(buy_single_index + 1, compute_end_index + 1):
                        if total_datas[buy_single_index]["val"]["time"] != total_datas[ii]["val"]["time"]:
                            return None, buy_nums, buy_count, ii, threshold_money, max_buy_num_set, f"【{i}】信号不连续,囊括时间-{max_space_time_ms}ms", True
            # if L2DataUtil.is_sell(_val):
            #     threshold_money += _val["num"] * int(float(_val["price"]) * 100)
            #     threshold_num = round(threshold_money / (limit_up_price * 100))
            # elif L2DataUtil.is_sell_cancel(_val):
            #     threshold_money -= _val["num"] * int(float(_val["price"]) * 100)
            #     threshold_num = round(threshold_money / (limit_up_price * 100))
            # 涨停买
            elif L2DataUtil.is_limit_up_price_buy(_val):
                if _val['num'] < bigger_threshold_num:
                    continue
                if l2_data_util.is_big_money(_val, is_ge_code):
                    max_buy_num_set.add(i)
                trigger_buy = True
                # 只统计59万以上的金额
                buy_nums += int(_val["num"]) * int(total_datas[i]["re"])
                buy_count += int(total_datas[i]["re"])
                if buy_nums >= threshold_num:
                    l2_log.info(code, logger_l2_trade_buy,
                                f"{code}获取到买入执行点(积极下单):{i} 统计纯买手数:{buy_nums} 目标纯买手数:{threshold_num} 统计纯买单数:{buy_count}")
            elif L2DataUtil.is_limit_up_price_buy_cancel(_val):
                # 判断买入位置是否在买入信号之前
                buy_index = l2_data_source_util.L2DataSourceUtils.get_buy_index_with_cancel_data_v2(total_datas[i], buyno_map)
                if buy_index is not None:
 
                    # 找到买撤数据的买入点
                    if buy_index >= buy_single_index:
                        max_buy_num_set.discard(buy_index)
                        buy_nums -= int(_val["num"]) * int(data["re"])
                        buy_count -= int(data["re"])
                        l2_log.buy_debug(code, "{}数据在买入信号之后 撤买纯买手数:{} 目标手数:{}", i, buy_nums, threshold_num)
                    else:
                        l2_log.buy_debug(code, "{}数据在买入信号之前,买入位:{}", i, buy_index)
                        if total_datas[buy_single_index]["val"]["time"] == total_datas[buy_index]["val"]["time"]:
                            # 同一秒,当作买入信号之后处理
                            buy_nums -= int(_val["num"]) * int(data["re"])
                            buy_count -= int(data["re"])
                            max_buy_num_set.discard(buy_index)
                            # 大单撤销
                            l2_log.buy_debug(code, "{}数据买入位与预估买入位在同一秒", i)
                else:
                    # 未找到买撤数据的买入点
                    l2_log.buy_debug(code, "未找到买撤数据的买入点: 位置-{} 数据-{}", i, data)
                    buy_nums -= int(_val["num"]) * int(total_datas[i]["re"])
                    buy_count -= int(total_datas[i]["re"])
            l2_log.buy_debug(code, "位置-{},总手数:{},目标手数:{}", i,
                             buy_nums, threshold_num)
 
            # 计算信号位置之后的主动卖,加入到阈值之中
            sell_orders = HuaXinSellOrderStatisticManager.get_latest_transaction_datas(code, min_sell_order_no=int(
                total_datas[buy_single_index]['val']['orderNo']), min_deal_time=tool.trade_time_add_second(
                total_datas[buy_single_index]['val']['time'], -1))
            sell_order_num = sum([x[1] for x in sell_orders]) // 100
            # 纯买额足够,且笔数大于2笔
            if buy_nums < threshold_num + sell_order_num:
                l2_log.buy_debug(code, f"激进买主动卖手数:{sell_order_num}")
                not_buy_msg = f"【{i}】纯买额不够,{buy_nums}/{threshold_num}"
                continue
            if not trigger_buy:
                not_buy_msg = f"【{i}】没有买单触发"
                continue
 
            safe_count = 1
            if active_buy_blocks and current_sell_data[1] > 5000000:
                # 有激进板块且大于500w才能扫入下单
                safe_count = 1
            else:
                # 无激进下单板块
                if total_sell_money <= 0:
                    # 所有的板上放量都需要3笔
                    # 板上下单需要安全笔数3笔
                    safe_count = 3
                else:
                    if tool.is_sz_code(code):
                        # 深证上板
                        safe_count = 2
                    elif tool.is_sh_code(code):
                        # 上证安全笔数为3
                        safe_count = 3
            if tool.is_sz_code(code):
                money_y = code_volumn_manager.CodeVolumeManager().get_reference_volume_as_money_y(code)
                # 大于8亿的安全笔数必须有8笔
                if money_y >= 8:
                    safe_count = 8
            # 9:31之前下单,安全笔数最小为5笔
            if int(tool.get_now_time_str().replace(":", "")) < int("093100"):
                safe_count = max(safe_count, 5)
            # 深证的票,第一次下单必须要有3笔安全笔数
            if tool.is_sz_code(code):
                place_order_count = trade_data_manager.PlaceOrderCountManager().get_place_order_count(code)
                if place_order_count == 0:
                    safe_count = max(safe_count, 3)
 
            if buy_count < safe_count:
                not_buy_msg = f"【{i}】安全笔数不足,{buy_count}/{safe_count}"
                continue
 
            # max_buy_num_set = cls.__filter_not_deal_indexes(code, max_buy_num_set)
            # big_money_count_threshhold = cls.__l2PlaceOrderParamsManagerDict[code].get_big_num_count()
            # if len(max_buy_num_set) < big_money_count_threshhold:
            #     not_buy_msg = f"【{i}】大单不满足要求,需要:{big_money_count_threshhold} 总:{len(max_buy_num_set)}"
            #     continue
 
            try:
                info = cls.__trade_log_placr_order_info_dict[code]
                info.set_trade_factor(threshold_money, 0, [])
            except Exception as e:
                async_log_util.error(logger_l2_error, f"记录交易因子出错:{str(e)}")
            l2_log.buy_debug(code, f"激进买主动卖手数:{sell_order_num}")
 
            return i, buy_nums, buy_count, None, threshold_money, max_buy_num_set, "可以下单", False
 
        l2_log.buy_debug(code, "尚未获取到买入执行点(激进买入),起始计算位置:{} 统计纯买手数:{} 目标纯买手数:{}  统计纯买单数:{} ",
                         compute_start_index,
                         buy_nums,
                         threshold_num, buy_count)
 
        return None, buy_nums, buy_count, None, threshold_money, max_buy_num_set, not_buy_msg, False
 
 
def test_trade_record():
    code = "000333"
    __trade_log_placr_order_info_dict = {code: trade_record_log_util.PlaceOrderInfo()}
    try:
        jx_blocks, jx_blocks_by = KPLCodeJXBlockManager().get_jx_blocks_cache(
            code), KPLCodeJXBlockManager().get_jx_blocks_cache(code, by=True)
        info = __trade_log_placr_order_info_dict[code]
        info.set_buy_index(0, 1)
        if jx_blocks:
            info.set_kpl_blocks(list(jx_blocks))
        elif jx_blocks_by:
            info.set_kpl_blocks(list(jx_blocks_by))
        else:
            info.set_kpl_blocks([])
 
        trade_record_log_util.add_place_order_log(code, info)
    except:
        pass
 
 
if __name__ == "__main__":
    # test_trade_record()
    # yesterday_limit_up_data_records = kpl_data_manager.get_current_limit_up_data_records(1)[0][1]
    # yesterday_codes = set([x[0] for x in yesterday_limit_up_data_records])
    # print(yesterday_codes)
    code = "603003"
    datas = log_export.load_l2_from_log()
    datas = datas.get(code)
    if datas is None:
        datas = []
    l2.l2_data_util.local_today_datas[code] = datas[:191]
    l2.l2_data_util.load_buy_no_map(l2.l2_data_util.local_today_buyno_map, code,
                                    l2.l2_data_util.local_today_datas[code])
    l2.l2_data_util.load_canceled_buy_no_map(l2.l2_data_util.local_today_canceled_buyno_map, code,
                                             l2.l2_data_util.local_today_datas[code])
    start_index = 73
    end_index = 190
    LCancelBigNumComputer().compute_watch_index(code, start_index, end_index)