bug修复

Administrator

2023-10-30 fb47d36048e94b9a506d5c153e3dd19a01e37df1

 third_data/data_server.py

@@ -1,24 +1,275 @@
import base64
import http
import json
import logging
import socketserver
import threading
import time
from http.server import BaseHTTPRequestHandler
import cv2
import dask

import tool
from l2 import code_price_manager
from third_data import kpl_util, kpl_data_manager
from third_data.kpl_data_manager import KPLDataManager
from third_data.kpl_util import KPLDataType
from log_module.log import logger_system, logger_debug
from utils import global_util, tool, data_export_util
from code_attribute import gpcode_manager
from log_module import log, log_analyse, log_export
from l2 import code_price_manager, l2_data_util, l2_data_manager_new, cancel_buy_strategy, transaction_progress
from l2.cancel_buy_strategy import HourCancelBigNumComputer
from output.limit_up_data_filter import IgnoreCodeManager
from third_data import kpl_util, kpl_data_manager, kpl_api, block_info
from third_data.code_plate_key_manager import RealTimeKplMarketData, KPLPlateForbiddenManager, CodePlateKeyBuyManager
from third_data.history_k_data_util import HistoryKDatasUtils
from third_data.kpl_data_manager import KPLDataManager, KPLLimitUpDataRecordManager, \
    KPLCodeLimitUpReasonManager
from third_data.kpl_util import KPLDataType, KPLPlatManager
import urllib.parse as urlparse
from urllib.parse import parse_qs
from output import code_info_output, limit_up_data_filter, output_util, kp_client_msg_manager

from trade import bidding_money_manager
from trade import bidding_money_manager, trade_manager, l2_trade_util
from trade.l2_trade_util import BlackListCodeManager
import concurrent.futures

# 禁用http.server的日志输出
logger = logging.getLogger("http.server")
logger.setLevel(logging.CRITICAL)


class DataServer(BaseHTTPRequestHandler):
    ocr_temp_data = {}
    __kplDataManager = KPLDataManager()
    __IgnoreCodeManager = IgnoreCodeManager()
    __KPLPlatManager = KPLPlatManager()
    __KPLCodeLimitUpReasonManager = KPLCodeLimitUpReasonManager()
    __KPLPlateForbiddenManager = KPLPlateForbiddenManager()
    # 历史板块
    __history_plates_dict = {}
    # 板块
    __blocks_dict = {}
    # 精选,行业数据缓存
    __jingxuan_cache_dict = {}
    __industry_cache_dict = {}
    __latest_limit_up_codes_set = set()
    __data_process_thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=10)

    # 禁用日志输出
    def log_message(self, format, *args):
        pass

    def __get_limit_up_list(self):
        # 统计目前为止的代码涨停数量（分涨停原因）
        total_datas = KPLLimitUpDataRecordManager.total_datas
        if not total_datas:
            KPLLimitUpDataRecordManager.load_total_datas()
            total_datas = KPLLimitUpDataRecordManager.total_datas
        # 通过涨停时间排序
        total_datas = list(total_datas)

        # 统计涨停原因
        limit_up_reason_dict = {}
        for d in total_datas:
            if d[2] not in limit_up_reason_dict:
                limit_up_reason_dict[d[2]] = []
            limit_up_reason_dict[d[2]].append(d)
        for k in limit_up_reason_dict:
            limit_up_reason_dict[k].sort(key=lambda x: int(x[5]))
        # 统计想买单数量
        want_codes = gpcode_manager.WantBuyCodesManager().list_code_cache()
        limit_up_reason_want_count_dict = {}
        for d in total_datas:
            if d[2] not in limit_up_reason_want_count_dict:
                limit_up_reason_want_count_dict[d[2]] = 0
            if d[3] in want_codes:
                limit_up_reason_want_count_dict[d[2]] += 1
        # (板块名称，涨停代码数量，想买单数量,涨停时间)
        limit_up_reason_statistic_info = [
            (k, len(limit_up_reason_dict[k]), limit_up_reason_want_count_dict.get(k), limit_up_reason_dict[k][0][5]) for
            k in
            limit_up_reason_dict]
        limit_up_reason_statistic_info.sort(key=lambda x: int(x[3]))

        codes_set = set([d[3] for d in total_datas])
        # 判断是龙几，判断是否涨停，判断是否炸板，加载分数
        rank_dict = limit_up_data_filter.get_limit_up_time_rank_dict(total_datas)
        limit_up_dict, limit_up_codes, open_limit_up_codes = limit_up_data_filter.get_limit_up_info(codes_set)
        score_dict = limit_up_data_filter.get_codes_scores_dict(codes_set)
        fresult = []
        ignore_codes = self.__IgnoreCodeManager.list_ignore_codes("1")

        total_datas.sort(key=lambda x: int(x[5]))
        total_datas.reverse()

        # 获取涨停原因变化记录
        reason_changes = log_export.load_kpl_reason_changes()
        reason_changes.reverse()
        reason_changes_dict = {}
        for r in reason_changes:
            if r[0] not in reason_changes_dict:
                reason_changes_dict[r[0]] = r[1]
        # 统计最近下单动作反馈
        order_reasons_dict = log_analyse.get_cant_order_reasons_dict()
        kpl_can_buy_reasons_dict = log_analyse.get_kpl_can_buy_reasons_dict()

        for d in total_datas:
            code = d[3]
            # (代码, 名称, 涨停状态(0 - 无状态 1-涨停 2-炸板), 龙几, 首板, 分值, 涨停时间, 原因, 相同原因代码数量, 自由流通, 涨停原因是否变化,涨停原因的流入净额,下单简介)
            limit_up_state = 0
            if code in limit_up_dict:
                if limit_up_dict[code][0]:
                    limit_up_state = 1
                elif limit_up_dict[code][1]:
                    limit_up_state = 2
            score = ""
            if code in score_dict:
                score = score_dict[code]
            if code in ignore_codes:
                continue

            # 涨停原因的净流入金额
            reason = d[2]
            reason_money = ''
            if reason in self.__jingxuan_cache_dict:
                reason_money = output_util.money_desc(self.__jingxuan_cache_dict[reason][3])
            elif reason in self.__industry_cache_dict:
                reason_money = output_util.money_desc(self.__industry_cache_dict[reason][3])

            # 匹配下单反馈
            order_desc = ''
            order_reason = order_reasons_dict.get(code)
            kpl_can_buy_reason = kpl_can_buy_reasons_dict.get(code)
            if order_reason and kpl_can_buy_reason:
                if int(order_reason[0].replace(":", "").replace(".", "")) > int(
                        kpl_can_buy_reason[0].replace(":", "").replace(".", "")):
                    order_desc = f"不：{order_reason[1]}"
                else:
                    order_desc = f"买：{kpl_can_buy_reason[1]}"
            elif order_reason:
                order_desc = f"不：{order_reason[1]}"
            elif kpl_can_buy_reason:
                order_desc = f"买：{kpl_can_buy_reason[1]}"

            fresult.append((code, d[4], limit_up_state, f"龙{rank_dict.get(code)}", d[12], score,
                            output_util.time_format(int(d[5])), d[2], d[10], output_util.money_desc(d[13]),
                            reason_changes_dict.get(code), reason_money, order_desc))
        response_data = json.dumps({"code": 0, "data": {"limit_up_count": len(limit_up_codes),
                                                        "open_limit_up_count": len(open_limit_up_codes),
                                                        "limit_up_reason_statistic": limit_up_reason_statistic_info,
                                                        "limit_up_codes": fresult}})
        return response_data

    def __get_plate_info(self, ps_dict):

        @dask.delayed
        def kpl_getStockIDPlate(code_):
            temp_data = kpl_api.getStockIDPlate(code_)
            return temp_data

        @dask.delayed
        def kpl_getSonPlate(plate_code_):
            if not plate_code:
                return None
            temp_data = kpl_api.getSonPlate(plate_code_)
            return temp_data

        @dask.delayed
        def kpl_getCodesByPlate(plate_code_):
            if not plate_code:
                return None
            temp_data = kpl_api.getCodesByPlate(plate_code_)
            return temp_data

        @dask.delayed
        def request_data(f1_, f2_):
            temp_data = f1_, f2_
            return temp_data

        # 获取板块的代码
        fresult = {}
        code = ps_dict["code"]
        code_info = KPLLimitUpDataRecordManager.list_by_code(code, tool.get_now_date_str())[0]
        hot_block_name = code_info[2]
        plate_code = self.__KPLPlatManager.get_plat(hot_block_name)
        f1 = kpl_getStockIDPlate(code)
        # f2 = kpl_getSonPlate(plate_code)
        f3 = kpl_getCodesByPlate(plate_code)
        dask_result = request_data(f1, f3)
        plate_info, codes_by_plate_info = dask_result.compute()

        if plate_info:
            plate_info.sort(key=lambda x: x[2])
            plate_info.reverse()
            fresult["plate"] = plate_info

        # 获取代码的历史涨停数据,(涨停原因,日期,板块)
        fresult["code_records"] = KPLLimitUpDataRecordManager.get_latest_infos(code, 4, False)[:2]
        # 获取今日数据
        fresult["today"] = (code_info[2], code_info[1], code_info[6])
        fresult["industry"] = global_util.code_industry_map.get(code)
        if plate_code:
            # 获取强度
            # datas = son_plate_info
            # # (代码,名称,强度)
            # temp = kpl_util.parseSonPlat(datas)
            # temp.sort(key=lambda x: x[2])
            # temp.reverse()
            # fresult["plat_strength"] = temp

            # 获取涨停原因下面的列表
            datas = codes_by_plate_info
            # (代码,名称,现价,涨幅,自由流通,几板，龙几，主力净额,300w净额,机构增仓)
            temps = kpl_util.parsePlateCodes(datas)
            # --数据准备开始--
            codes_set = set([d[0] for d in temps])
            limit_up_dict, limit_up_codes, open_limit_up_codes = limit_up_data_filter.get_limit_up_info(codes_set)
            score_dict = limit_up_data_filter.get_codes_scores_dict(codes_set)
            want_codes = gpcode_manager.WantBuyCodesManager().list_code_cache()
            black_codes = BlackListCodeManager().list_codes()
            total_datas = KPLLimitUpDataRecordManager.total_datas
            code_info_dict = {}
            for val in total_datas:
                code_info_dict[val[3]] = val

            # --数据准备结束--

            ignore_codes = self.__IgnoreCodeManager.list_ignore_codes("2")
            # 最终结果：(代码,名称,涨停状态(0-无状态 1-涨停 2-炸板),龙几,首板,分值,涨停时间,原因,相同原因代码数量,自由流通,涨停原因是否变化,涨幅,现价,黑名单,想买单,主力净值,300w,)
            codes_info_list = []
            for t in temps:
                code = t[0]
                limit_up_state = 0
                if code in limit_up_dict:
                    if limit_up_dict[code][0]:
                        limit_up_state = 1
                    elif limit_up_dict[code][1]:
                        limit_up_state = 2
                score = ""
                if code in score_dict:
                    score = score_dict[code]

                limit_up_time = ''
                if code in code_info_dict:
                    limit_up_time = output_util.time_format(code_info_dict[code][5])
                final_code_info = {"code_info": (
                    t[0], t[1], limit_up_state, t[6], t[5], score, limit_up_time,
                    code_info[2], code_info[10], output_util.money_desc(t[4]), 0, t[3], t[2],
                    "黑名单" if code in black_codes else "", "想买单" if code in want_codes else "",
                    output_util.money_desc(t[7]), output_util.money_desc(t[8]), output_util.money_desc(t[9]))}
                if code in code_info_dict:
                    final_code_info["today"] = (
                        code_info_dict[code][2], code_info_dict[code][1], code_info_dict[code][6])
                # 加载历史
                if code in self.__history_plates_dict:
                    final_code_info["code_records"] = self.__history_plates_dict[code][1]
                # 加载板块
                if code in self.__blocks_dict:
                    final_code_info["plate"] = self.__blocks_dict[code][1]

                # 获取二级行业
                final_code_info["industry"] = global_util.code_industry_map.get(code)

                if code not in ignore_codes:
                    codes_info_list.append(final_code_info)
                fresult["code_list_info"] = codes_info_list
        response_data = json.dumps({"code": 0, "data": fresult})
        return response_data

    def do_GET(self):
        path = self.path
@@ -26,15 +277,219 @@
        response_data = ""
        if url.path == "/get_kpl_data":
            best_feng_kou = self.__kplDataManager.get_data(kpl_util.KPLDataType.BEST_FENG_KOU)
            best_feng_kou=best_feng_kou[:22]
            if not best_feng_kou:
                best_feng_kou = []
            best_feng_kou = best_feng_kou[:22]
            feng_kou = self.__kplDataManager.get_data(kpl_util.KPLDataType.FENG_KOU)
            if not feng_kou:
                feng_kou = []
            feng_kou = feng_kou[:22]
            industry_rank = self.__kplDataManager.get_data(kpl_util.KPLDataType.INDUSTRY_RANK)
            if not industry_rank:
                industry_rank = []
            industry_rank = industry_rank[:22]
            feng_xiang = self.__kplDataManager.get_data(kpl_util.KPLDataType.FENG_XIANG)
            if not feng_xiang:
                feng_xiang = []
            feng_xiang = feng_xiang[:22]
            response_data = json.dumps({"code": 0, "data": {"best_feng_kou": best_feng_kou, "feng_kou": feng_kou,
                                                            "industry_rank": industry_rank, "feng_xiang": feng_xiang}})
        elif url.path == "/get_score_info":
            start_time = time.time()
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            name = ps_dict.get('name')
            try:
                data = code_info_output.get_output_params(code, self.__jingxuan_cache_dict, self.__industry_cache_dict)
                if data["code_name"].find("None") > -1 and name:
                    data["code_name"] = f"{name} {code}"

                self.__history_plates_dict[code] = (time.time(), data["kpl_code_info"]["code_records"])
                if "plate" in data["kpl_code_info"]:
                    self.__blocks_dict[code] = (time.time(), data["kpl_code_info"]["plate"])

                response_data = json.dumps({"code": 0, "data": data})
                print("get_score_info 耗时：", time.time() - start_time)
            except Exception as e:
                logging.exception(e)

            # 获取评分信息
            pass
        elif url.path == "/get_l2_datas":
            # 获取L2的数据
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            datas = data_export_util.get_l2_datas(code)
            response_data = json.dumps({"code": 0, "data": datas})
        elif url.path == "/get_trade_progress":
            # 获取交易进度
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            trade_progress, is_default = transaction_progress.TradeBuyQueue().get_traded_index(code)
            datas = data_export_util.get_l2_datas(code)
            response_data = json.dumps(
                {"code": 0, "data": {"trade_progress": trade_progress, "is_default": is_default}})
        elif url.path == "/kpl/get_limit_up_list":
            response_data = self.__get_limit_up_list()

        elif url.path == "/kpl/get_plate_info":
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            response_data = self.__get_plate_info(ps_dict)

        elif url.path == "/kpl/get_market_data":
            # 获取板块信息
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            type_ = int(ps_dict['type'])
            result = []
            if type_ == 0:
                # 行业，主力净额倒序
                result = kpl_api.getMarketIndustryRealRankingInfo(True)
                result = kpl_util.parseMarketIndustry(result)
            elif type_ == 1:
                # 行业，主力净额顺序
                result = kpl_api.getMarketIndustryRealRankingInfo(False)
                result = kpl_util.parseMarketIndustry(result)
            elif type_ == 2:
                # 精选，主力净额倒序
                result = kpl_api.getMarketJingXuanRealRankingInfo(True)
                result = kpl_util.parseMarketJingXuan(result)
            elif type_ == 3:
                # 精选，主力净额顺序
                result = kpl_api.getMarketJingXuanRealRankingInfo(False)
                result = kpl_util.parseMarketJingXuan(result)
            forbidden_plates = self.__KPLPlateForbiddenManager.list_all()
            fresult = []
            for d in result:
                if type_ == 2 or type_ == 3:
                    self.__jingxuan_cache_dict[d[1]] = d
                elif type_ == 0 or type_ == 1:
                    self.__industry_cache_dict[d[1]] = d
                d = list(d)
                d.append(1 if d[1] in forbidden_plates else 0)
                fresult.append(d)
            response_data = json.dumps({"code": 0, "data": fresult})
        elif url.path == "/kpl/add_ignore_code":
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict['code']
            type_ = ps_dict['type']
            self.__IgnoreCodeManager.ignore_code(type_, code)
            response_data = json.dumps({"code": 0})
        elif url.path == "/kpl/forbidden_plate":
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            plate = ps_dict["plate"]
            # 加入禁止
            self.__KPLPlateForbiddenManager.save_plate(plate)
            response_data = json.dumps({"code": 0})
        elif url.path == "/kpl/get_plate_codes":
            # 获取涨停原因下面的代码
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            plate = ps_dict["plate"]
            # 获取板块下的代码
            # 统计目前为止的代码涨停数量（分涨停原因）
            now_limit_up_codes_info = self.__kplDataManager.get_data(KPLDataType.LIMIT_UP)
            now_limit_up_codes = set([d[0] for d in now_limit_up_codes_info])
            # 获取历史涨停
            record_limit_up_datas = KPLLimitUpDataRecordManager.total_datas
            if not record_limit_up_datas:
                KPLLimitUpDataRecordManager.load_total_datas()
                record_limit_up_datas = KPLLimitUpDataRecordManager.total_datas

            codes_info = []
            for d in record_limit_up_datas:
                if d[2] != plate:
                    continue
                # 代码,名称,涨停时间,是否炸板,是否想买,是否已经下过单
                codes_info.append(
                    [d[3], d[4], tool.to_time_str(int(d[5])), 1 if d[3] not in now_limit_up_codes else 0, 0, 0])
            codes_info.sort(key=lambda x: x[2])
            # 查询是否为想买单
            want_codes = gpcode_manager.WantBuyCodesManager().list_code_cache()
            for code_info in codes_info:
                code_info[4] = 1 if code_info[0] in want_codes else 0
                # 获取代码状态
                if trade_manager.CodesTradeStateManager().get_trade_state_cache(
                        code_info[0]) != trade_manager.TRADE_STATE_NOT_TRADE:
                    code_info[5] = 1

            response_data = json.dumps({"code": 0, "data": codes_info})
        elif url.path == "/get_h_cancel_data":
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict["code"]
            if code:
                total_datas = l2_data_util.local_today_datas.get(code)
                if total_datas is None:
                    l2_data_util.load_l2_data(code)
                    total_datas = l2_data_util.local_today_datas.get(code)

                trade_state = trade_manager.CodesTradeStateManager().get_trade_state_cache(code)
                if trade_state == trade_manager.TRADE_STATE_BUY_PLACE_ORDER or trade_state == trade_manager.TRADE_STATE_BUY_DELEGATED or trade_state == trade_manager.TRADE_STATE_BUY_SUCCESS:
                    hcancel_datas_dict, cancel_indexes_set = HourCancelBigNumComputer().get_watch_index_dict(code)
                    # 根据日志读取实时的计算数据
                    h_cancel_latest_compute_info = log_export.get_h_cancel_compute_info(code)
                    if hcancel_datas_dict:
                        temp_list = [(k, hcancel_datas_dict[k][0]) for k in hcancel_datas_dict]
                        canceled_indexs = set([int(k.split("-")[0]) for k in cancel_indexes_set])
                        temp_list.sort(key=lambda x: x[0])
                        fdata = {
                            "computed_info": list(
                                h_cancel_latest_compute_info) if h_cancel_latest_compute_info else None,
                            "datas": []}
                        for i in range(0, len(temp_list)):
                            temp = temp_list[i]
                            val = total_datas[temp[0]]["val"]
                            canceled = temp[0] in canceled_indexs
                            fdata["datas"].append(
                                (val["time"], val["num"],
                                 code_info_output.money_desc(val["num"] * float(val["price"]) * 100),
                                 (1 if canceled else 0)))
                        response_data = json.dumps({"code": 0, "data": fdata})
                    else:
                        response_data = json.dumps({"code": 1, "msg": "无H撤数据"})
                else:
                    response_data = json.dumps({"code": 1, "msg": "无H撤数据"})
            else:
                response_data = json.dumps({"code": 1, "msg": "请上传code"})

        elif url.path == "/get_last_trade_day_reasons":
            # 获取上个交易日的相同涨停原因的代码信息
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            code = ps_dict["code"]
            day = HistoryKDatasUtils.get_previous_trading_date(tool.get_now_date_str())
            # 获取涨停数据

            # 获取代码的原因
            reasons = kpl_data_manager.KPLLimitUpDataRecordManager.list_by_code(code, day)
            if reasons:
                reasons = list(reasons)
                reasons.sort(key=lambda x: x[9])
                reason = reasons[-1][2]
                datas = self.__kplDataManager.get_from_file(kpl_util.KPLDataType.LIMIT_UP, day)
                # (代码,名称,首次涨停时间,最近涨停时间,几板,涨停原因,板块,实际流通,主力净额,涨停原因代码,涨停原因代码数量)
                result_list = []
                if datas:
                    for d in datas:
                        if d[5] == reason and d[0] != code:
                            # (代码,名称)
                            result_list.append((d[0], d[1]))
                response_data = json.dumps({"code": 0, "data": {"reason": reason, "data": result_list}})
            else:
                response_data = json.dumps({"code": 1, "msg": "昨日未涨停"})

        elif url.path == "/pull_kp_client_msg":
            # 拉取客户端消息
            ps_dict = dict([(k, v[0]) for k, v in parse_qs(url.query).items()])
            client = ps_dict["client"]
            msg = kp_client_msg_manager.read_msg(client)
            if msg:
                response_data = json.dumps({"code": 0, "data": msg})
            else:
                response_data = json.dumps({"code": 1, "msg": "暂无消息"})
        elif url.path == "/list_kp_client_msg":
            msg_list = kp_client_msg_manager.list_msg_from_local()
            msg_list.reverse()
            msg_list = [f"{msg.split('|')[0]}{msg.split('|')[-1].split('-')[1].strip()}" for msg in msg_list]
            response_data = json.dumps({"code": 0, "data": msg_list})

        self.send_response(200)
        # 发给请求客户端的响应数据
        self.send_header('Content-type', 'application/json')
@@ -51,10 +506,66 @@
            self.__send_response(result_str)

    def __process_kpl_data(self, data):
        def do_limit_up(result_list_):
            if result_list_:
                # 保存涨停时间
                codes_set = set()
                limit_up_reasons = {}
                for d in result_list_:
                    code = d[0]
                    limit_up_reasons[code] = d[5]
                    codes_set.add(code)
                    if code.find("00") == 0 or code.find("60") == 0:
                        limit_up_time = time.strftime("%H:%M:%S", time.localtime(d[2]))
                        code_price_manager.Buy1PriceManager().set_limit_up_time(code, limit_up_time)
                add_codes = codes_set - self.__latest_limit_up_codes_set
                self.__latest_limit_up_codes_set = codes_set

                if limit_up_reasons:
                    # 统计涨停原因的票的个数
                    limit_up_reason_code_dict = {}
                    for code in limit_up_reasons:
                        b = limit_up_reasons[code]
                        if b not in limit_up_reason_code_dict:
                            limit_up_reason_code_dict[b] = set()
                        limit_up_reason_code_dict[b].add(code)
                    cancel_buy_strategy.LCancelRateManager.set_block_limit_up_count(limit_up_reason_code_dict)

                if add_codes:
                    for code in add_codes:
                        # 根据涨停原因判断是否可以买
                        if code.find("00") == 0 or code.find("60") == 0:
                            try:
                                # 判断是否下单
                                trade_state = trade_manager.CodesTradeStateManager().get_trade_state(code)
                                if trade_state == trade_manager.TRADE_STATE_BUY_PLACE_ORDER or trade_state == trade_manager.TRADE_STATE_BUY_DELEGATED:
                                    # 委托中的订单，判断是否需要撤单
                                    if not gpcode_manager.WantBuyCodesManager().is_in_cache(code):
                                        yesterday_codes = kpl_data_manager.get_yesterday_limit_up_codes()
                                        current_limit_up_datas, limit_up_record_datas, yesterday_current_limit_up_codes, before_blocks_dict = kpl_data_manager.KPLLimitUpDataRecordManager.latest_origin_datas, kpl_data_manager.KPLLimitUpDataRecordManager.total_datas, yesterday_codes, block_info.get_before_blocks_dict()
                                        if not current_limit_up_datas:
                                            current_limit_up_datas = []
                                        if not limit_up_record_datas:
                                            limit_up_record_datas = []
                                        # 买绝对老大
                                        # 中途不能撤单
                                        # if CodePlateKeyBuyManager.is_need_cancel(code, limit_up_reasons.get(code),
                                        #                                          current_limit_up_datas,
                                        #                                          limit_up_record_datas,
                                        #                                          yesterday_current_limit_up_codes,
                                        #                                          before_blocks_dict):
                                        #     l2_data_manager_new.L2TradeDataProcessor.cancel_buy(code,
                                        #                                                         f"涨停原因（{limit_up_reasons.get(code)}）不是老大撤单",
                                        #                                                         "板块撤")
                            except Exception as e:
                                logger_debug.exception(e)
                kpl_data_manager.KPLLimitUpDataRecordManager.save_record(tool.get_now_date_str(), result_list_)
                self.__kplDataManager.save_data(type_, result_list_)

        type_ = data["type"]
        print("开盘啦type:", type_)
        if type_ == KPLDataType.BIDDING.value:
            result_list = kpl_util.parseDaBanData(data["data"], kpl_util.DABAN_TYPE_LIMIT_UP)
            result_list = kpl_util.parseDaBanData(data["data"], kpl_util.DABAN_TYPE_BIDDING)
            # 竞价取前20
            if result_list:
                result_list.sort(key=lambda x: x[2])
@@ -68,15 +579,7 @@
                self.__kplDataManager.save_data(type_, result_list)
        elif type_ == KPLDataType.LIMIT_UP.value:
            result_list = kpl_util.parseDaBanData(data["data"], kpl_util.DABAN_TYPE_LIMIT_UP)
            if result_list:
                # 保存涨停时间
                for d in result_list:
                    code = d[0]
                    if code.find("00") == 0 or code.find("60") == 0:
                        limit_up_time = time.strftime("%H:%M:%S", time.localtime(d[2]))
                        code_price_manager.Buy1PriceManager.set_limit_up_time(code, limit_up_time)
                self.__kplDataManager.save_data(type_, result_list)
                kpl_data_manager.KPLLimitUpDataRecordManager.save_record(tool.get_now_date_str(), result_list)
            self.__data_process_thread_pool.submit(lambda: do_limit_up(result_list))
        elif type_ == KPLDataType.OPEN_LIMIT_UP.value:
            result_list = kpl_util.parseDaBanData(data["data"], kpl_util.DABAN_TYPE_OPEN_LIMIT_UP)
            if result_list:
@@ -107,9 +610,16 @@
                self.__kplDataManager.save_data(type_, result_list)
        elif type_ == KPLDataType.INDUSTRY_RANK.value:
            result_list = kpl_util.parseIndustryRank(data["data"])
            # 保存风向数据
            # 保存行业数据
            if result_list:
                self.__kplDataManager.save_data(type_, result_list)
                RealTimeKplMarketData.set_top_5_industry(result_list)
        elif type_ == KPLDataType.JINGXUAN_RANK.value:
            result_list = kpl_util.parseMarketJingXuan(data["data"])
            # 保存精选数据
            if result_list:
                self.__kplDataManager.save_data(type_, result_list)
                RealTimeKplMarketData.set_top_5_reasons(result_list)
        return json.dumps({"code": 0})

    def __send_response(self, data):
@@ -128,11 +638,24 @@
        return params


class ThreadedHTTPServer(socketserver.ThreadingMixIn, http.server.HTTPServer):
    pass


def run(addr, port):
    # 运行看盘消息采集
    # kp_client_msg_manager.run_capture()
    kpl_data_manager.run_pull_task()

    handler = DataServer
    httpd = socketserver.TCPServer((addr, port), handler)
    print("HTTP server is at: http://%s:%d/" % (addr, port))
    httpd.serve_forever()
    # httpd = socketserver.TCPServer((addr, port), handler)
    try:
        httpd = ThreadedHTTPServer((addr, port), handler)
        print("HTTP server is at: http://%s:%d/" % (addr, port))
        httpd.serve_forever()
    except Exception as e:
        logger_system.exception(e)
        logger_system.error(f"端口服务器：{port} 启动失败")


if __name__ == "__main__":