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| | | import json |
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| | | import logging |
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| | | import socketserver |
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| | | import time |
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| | | from http.server import BaseHTTPRequestHandler |
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| | | import urllib.parse as urlparse |
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| | | import psutil |
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| | | import constant |
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| | | from db import redis_manager_delegate as redis_manager, mysql_data_delegate as mysql_data |
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| | | from db.redis_manager_delegate import RedisUtils |
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| | | from log_module import log_export |
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| | | from log_module import log_export, async_log_util |
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| | | from log_module.log import hx_logger_l2_transaction, logger_debug, logger_request_api |
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| | | from strategy import data_cache |
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| | | from strategy.kpl_data_manager import KPLStockOfMarketsPlateLogManager |
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| | | from strategy.kpl_data_manager import KPLMarketsSiftPlateLogManager, KPLMarketStockHeatLogManager |
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| | | from strategy.trade_setting import TradeSetting |
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| | | from trade import huaxin_trade_api, huaxin_trade_data_update |
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| | | from trade.huaxin_trade_record_manager import DelegateRecordManager, DealRecordManager, MoneyManager, PositionManager |
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| | |
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| | | fdatas = [] |
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| | | for code in codes: |
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| | | data = data_cache.latest_code_market_info_dict.get(code) |
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| | | logger_debug.info(f"获取L1行情接口：{code}-{data}") |
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| | | # logger_debug.info(f"获取L1行情接口：{code}-{data}") |
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| | | if data: |
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| | | fdatas.append(data) |
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| | | response_data = json.dumps({"code": 0, "data": fdatas}) |
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| | |
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| | | response_data = json.dumps({"code": 0, "data": {}}) |
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| | | |
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| | | elif url.path == "/get_env": |
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| | | request_id = params_dict.get("request_id") |
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| | | use_time_list = [] |
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| | | try: |
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| | | __start_time = time.time() |
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| | | fdata = {} |
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| | | # try: |
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| | | # date = HistoryKDatasUtils.get_trading_dates(tool.date_sub(tool.get_now_date_str(), 10), |
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| | | fdata["redis"] = 1 |
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| | | except: |
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| | | fdata["redis"] = 0 |
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| | | use_time_list.append(("验证redis", time.time() - __start_time)) |
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| | | |
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| | | try: |
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| | | # 验证mysql |
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| | | fdata["mysql"] = 1 |
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| | | except: |
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| | | fdata["mysql"] = 0 |
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| | | use_time_list.append(("验证mysql", time.time() - __start_time)) |
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| | | |
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| | | try: |
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| | | # redis异步任务数量 |
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| | | fdata["redis_async_task_count"] = redis_manager.RedisUtils.get_async_task_count() |
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| | | except: |
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| | | pass |
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| | | use_time_list.append(("验证异步任务数量", time.time() - __start_time)) |
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| | | |
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| | | # 获取交易通道 |
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| | | try: |
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| | |
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| | | except Exception as e: |
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| | | logger_debug.exception(e) |
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| | | fdata["trade_channel_access"] = 0 |
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| | | use_time_list.append(("验证交易通道", time.time() - __start_time)) |
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| | | |
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| | | # 获取CPU与内存适用情况 |
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| | | memory_info = psutil.virtual_memory() |
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| | | cpu_percent = psutil.cpu_percent(interval=1) |
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| | | fdata["device"] = {"cpu": cpu_percent, "memery": memory_info.percent} |
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| | | |
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| | | use_time_list.append(("获取设备资源占用", time.time() - __start_time)) |
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| | | # 获取交易通道 |
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| | | result = {"code": 0, "data": fdata, "msg": ""} |
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| | | # print("OnGetEnvInfo 成功") |
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| | | response_data = json.dumps(result) |
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| | | except Exception as e: |
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| | | response_data = json.dumps({"code": 1, "msg": str(e)}) |
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| | | elif url.path == "/load_kpl_stock_of_markets_plate": |
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| | | logger_debug.error(f"环境获取异常：{request_id}") |
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| | | logger_debug.exception(e) |
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| | | finally: |
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| | | if use_time_list and use_time_list[-1][1] > 10: |
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| | | logger_debug.warning(f"环境获取时间大于10s({request_id}):{use_time_list}") |
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| | | # 获取板块强度数据 |
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| | | elif url.path == "/load_get_kpl_market_sift_plate": |
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| | | # 加载数据 |
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| | | KPLStockOfMarketsPlateLogManager().load_data() |
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| | | KPLMarketsSiftPlateLogManager().load_data() |
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| | | response_data = json.dumps({"code": 0, "msg": "暂无内容"}) |
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| | | elif url.path == "/get_kpl_stock_of_markets_plate": |
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| | | elif url.path == "/get_kpl_market_sift_plate": |
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| | | # 获取开盘啦流入板块详细信息 |
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| | | print("==========get_kpl_market_sift_plate==========") |
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| | | try: |
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| | | time_str = params_dict.get("time") |
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| | | if not time_str: |
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| | | time_str = tool.get_now_time_str() |
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| | | fdatas = KPLMarketsSiftPlateLogManager().get_filter_log_datas() |
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| | | response_data = json.dumps({"code": 1, "msg": "暂无内容"}) |
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| | | for i in range(len(fdatas) - 1, -1, -1): |
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| | | if fdatas[i][0] <= time_str: |
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| | | response_data = json.dumps({"code": 0, "data": fdatas[i]}) |
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| | | break |
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| | | except Exception as e: |
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| | | logging.exception(e) |
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| | | response_data = json.dumps({"code": 1, "msg": str(e)}) |
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| | | |
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| | | # 获取个股强度数据 |
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| | | elif url.path == "/load_kpl_market_stock_heat": |
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| | | # 加载数据 |
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| | | KPLMarketStockHeatLogManager().load_data() |
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| | | response_data = json.dumps({"code": 0, "msg": "暂无内容"}) |
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| | | elif url.path == "/get_kpl_market_stock_heat": |
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| | | # 获取开盘啦流入板块详细信息 |
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| | | print("==========get_kpl_stock_of_markets_plate==========") |
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| | | try: |
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| | | time_str = params_dict.get("time") |
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| | | if not time_str: |
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| | | time_str = tool.get_now_time_str() |
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| | | fdatas = KPLStockOfMarketsPlateLogManager().get_filter_log_datas() |
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| | | fdatas = KPLMarketStockHeatLogManager().get_filter_log_datas() |
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| | | response_data = json.dumps({"code": 1, "msg": "暂无内容"}) |
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| | | for i in range(len(fdatas) - 1, -1, -1): |
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| | | if fdatas[i][0] <= time_str: |
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| | |
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| | | print("接收到POST请求：", str(path)) |
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| | | url = urlparse.urlparse(path) |
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| | | if url.path == "/trade_callback": |
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| | | # 接受开盘啦数据 |
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| | | body = self.__parse_request() |
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| | | if type(body) != str: |
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| | | huaxin_trade_api.add_trade_callback_data(json.dumps(body)) |
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| | | else: |
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| | | huaxin_trade_api.add_trade_callback_data(body) |
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| | | if constant.IS_SIMULATED_TRADE: |
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| | | # 接受开盘啦数据 |
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| | | body = self.__parse_request() |
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| | | if type(body) != str: |
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| | | huaxin_trade_api.add_trade_callback_data(json.dumps(body)) |
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| | | else: |
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| | | huaxin_trade_api.add_trade_callback_data(body) |
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| | | result_str = json.dumps({"code": 0}) |
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| | | elif url.path == "/buy": |
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| | | # 签名验证 |
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| | |
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| | | raise Exception("没有获取到L1数据") |
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| | | pre_price = data[1] |
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| | | current_price = data[2] if data[2] else data[5][0][0] |
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| | | # 获取最新成交价格 |
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| | | latest_deal_price = data_cache.latest_deal_price_dict.get(code) |
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| | | if latest_deal_price: |
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| | | current_price = round(float(latest_deal_price), 2) |
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| | | async_log_util.info(logger_debug, f"根据成交价卖出：{code}-{latest_deal_price}") |
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| | | |
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| | | price = tool.get_buy_min_price(current_price) |
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| | | price = max(price, tool.get_limit_down_price(code, pre_price)) |
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| | | else: |
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| | |
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| | | result_str = json.dumps({"code": 1, "msg": "未上传金额"}) |
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| | | return |
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| | | money = int(money) |
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| | | |
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| | | logger_debug.info(f"设置开仓金额：{money}") |
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| | | data_cache.BUY_MONEY_PER_CODE = money |
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| | | result_str = json.dumps({"code": 0}) |
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| | | |
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| | |
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| | | # 成交大单传递 |
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| | | datas = self.rfile.read(int(self.headers['content-length'])) |
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| | | _str = str(datas, encoding="gbk") |
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| | | datas = json.loads(_str) |
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| | | for d in datas: |
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| | | if d[1] != 0: |
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| | | continue |
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| | | code, data = d[0], d[2] |
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| | | if code not in data_cache.big_order_deal_dict: |
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| | | data_cache.big_order_deal_dict[code] = [] |
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| | | data_cache.big_order_deal_dict[code].append(d) |
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| | | # 获取买大单数量 |
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| | | len(data_cache.big_order_deal_dict.get(code, [])) |
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| | | hx_logger_l2_transaction.info(_str) |
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| | | # 记录日志 |
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| | | result_str = json.dumps({"code": 0}) |
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