from __future__ import print_function, absolute_import
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import datetime
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import json
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import time as t
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import schedule
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import gm.api as gmapi
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import big_money_num_manager
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import code_volumn_manager
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import data_process
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import global_util
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import gpcode_manager
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import threading
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import server
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import tool
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import redis_manager
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import authority
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import decimal
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from l2_code_operate import L2CodeOperate
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from log import logger_juejin_tick, logger_system
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redisManager = redis_manager.RedisManager()
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# 设置账户信息
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def setAccountInfo(accountId, strategyId, token):
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redis = redisManager.getRedis()
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redis.set("juejin-account-id", accountId)
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redis.set("juejin-strategy-id", strategyId)
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redis.set("juejin-token", token)
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def getAccountInfo():
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redis = redisManager.getRedis()
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account_id = redis.get("juejin-account-id")
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strategy_id = redis.get("juejin-strategy-id")
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token = redis.get("juejin-token")
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return account_id, strategy_id, token
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def init_data():
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# 载入行业股票代码
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global_util.load_industry()
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# 载入代码自由流通市值
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global_util.load_zyltgb()
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# 载入量
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global_util.load_volumn()
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# 每日初始化
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def everyday_init():
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codes = gpcode_manager.get_gp_list()
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logger_system.info("每日初始化")
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# 今日实时涨停
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global_util.add_limit_up_codes([], True)
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# 主要获取收盘价
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get_latest_info(None)
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# 获取60天最大量与昨日量
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global_util.today_volumn.clear()
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global_util.max60_volumn.clear()
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global_util.yesterday_volumn.clear()
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volumn_dict = get_volumns(codes)
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for key in volumn_dict:
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code_volumn_manager.set_histry_volumn(key, volumn_dict[key][0], volumn_dict[key][1])
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# 清除大单数据
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global_util.big_money_num.clear()
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# 初始化大单数据
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for code in codes:
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big_money_num_manager.add_num(code, 0)
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big_money_num_manager.expire(code)
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# 清除涨停时间
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global_util.limit_up_time.clear()
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init_data()
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# 初始化同花顺主站
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l2_clients = data_process.getValidL2Clients()
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for client in l2_clients:
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server.repair_ths_main_site(client)
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def __run_schedule():
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while True:
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schedule.run_pending()
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def init(context):
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# gmapi.subscribe(symbols="SZSE.002529", frequency="1d", count=30)
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# 订阅浦发银行, bar频率为一天和一分钟
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# 订阅订阅多个频率的数据，可多次调用subscribe
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# 获取需要监听的股票
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init_data()
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logger_system.info("掘金初始化")
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schedule.every().day.at("09:15:00").do(everyday_init)
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t1 = threading.Thread(target=lambda: __run_schedule())
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# 后台运行
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t1.setDaemon(True)
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t1.start()
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# 多个时间点获取收盘价
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gmapi.schedule(schedule_func=get_latest_info, date_rule='1d', time_rule='08:30:00')
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gmapi.schedule(schedule_func=get_latest_info, date_rule='1d', time_rule='08:50:00')
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gmapi.schedule(schedule_func=get_latest_info, date_rule='1d', time_rule='09:28:00')
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gmapi.schedule(schedule_func=get_current_info, date_rule='1d', time_rule='09:25:00')
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gmapi.schedule(schedule_func=get_current_info, date_rule='1d', time_rule='09:29:00')
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re_subscribe_tick()
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# re_subscribe_bar()
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# 初始化内容
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clients = authority.get_l2_clients()
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for client in clients:
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for i in range(0, 8):
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gpcode_manager.init_listen_code_by_pos(client, i)
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def get_latest_info(context):
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# 初始化内容
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clients = authority.get_l2_clients()
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for c in clients:
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for i in range(0, 8):
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gpcode_manager.init_listen_code_by_pos(int(c), i)
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codes = gpcode_manager.get_gp_list();
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result = JueJinManager.get_gp_latest_info(codes);
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for item in result:
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sec_level = item['sec_level']
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symbol = item['symbol']
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symbol = symbol.split(".")[1]
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pre_close = tool.to_price(decimal.Decimal(str(item['pre_close'])))
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if sec_level == 1:
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if symbol in codes:
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gpcode_manager.set_price_pre(symbol, pre_close)
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else:
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gpcode_manager.rm_gp(symbol)
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# 获取最新的信息
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def get_current_info():
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data = gpcode_manager.get_gp_list();
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results = JueJinManager.get_gp_current_info(data);
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logger_juejin_tick.debug("定时获取：{}", results)
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for result in results:
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price = result["price"]
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symbol = result['symbol']
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# 保存最新价
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symbol = symbol.split(".")[1]
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accpt_price(symbol, price)
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# 设置收盘价
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def re_set_price_pre(code):
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codes = [code]
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re_set_price_pres(codes)
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def re_set_price_pres(codes):
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result = JueJinManager.get_gp_latest_info(codes);
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for item in result:
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symbol = item['symbol']
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symbol = symbol.split(".")[1]
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pre_close = tool.to_price(decimal.Decimal(str(item['pre_close'])))
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gpcode_manager.set_price_pre(symbol, pre_close)
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__prices_now = {}
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def on_tick(context, tick):
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if global_util.TEST:
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return
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# print(tick["created_at"])
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relative_timestamp = t.time() % (24 * 60 * 60) + 8 * 60 * 60
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# 9点20-15:05接受数据
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start1 = 60 * 60 * 9 + 31 * 60
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end1 = 60 * 60 * 11 + 35 * 60
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start2 = 60 * 60 * 12 + 50 * 60
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end2 = 60 * 60 * 15 + 5 * 60
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# TODO 测试
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if (start1 < relative_timestamp < end1 or start2 < relative_timestamp < end2) or global_util.TEST:
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symbol = tick['symbol']
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price = tick['price']
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# print(symbol,price)
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# 价格有变化的时候才发送操作
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# if symbol in __prices_now and __prices_now[symbol] == price:
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# return
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# 保存最新价
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symbol = symbol.split(".")[1]
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accpt_price(symbol, price)
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__prices_now[symbol] = price
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# 获取到现价
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def accpt_price(code, price):
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gpcode_manager.set_price(code, price)
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# 获取收盘价
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pricePre = gpcode_manager.get_price_pre(code)
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if pricePre is not None:
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rate = round((price - pricePre) * 100 / pricePre, 1)
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if rate >= 7:
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logger_juejin_tick.info("{}-{}-{}", code, price, rate)
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if not gpcode_manager.is_listen(code) and not gpcode_manager.is_operate(
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code) and not gpcode_manager.is_listen_full():
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L2CodeOperate.get_instance().add_operate(1, code, "现价变化")
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# 进入监控
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elif rate < 5:
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# 移除监控
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if gpcode_manager.is_listen(code) and not gpcode_manager.is_operate(code):
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L2CodeOperate.get_instance().add_operate(0, code, "现价变化")
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# 获取到现价
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def accpt_prices(prices):
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now_str = datetime.datetime.now().strftime("%H:%M:%S")
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now_strs = now_str.split(":")
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now_second = int(now_strs[0]) * 60 * 60 + int(now_strs[1]) * 60 + int(now_strs[2])
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start = 60 * 60 * 9 + 31 * 60
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if now_second > start:
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for d in prices:
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code, price = d["code"], float(d["price"])
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accpt_price(code, price)
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else:
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_code_list = []
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_delete_list = []
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for d in prices:
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code, price = d["code"], float(d["price"])
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gpcode_manager.set_price(code, price)
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# 获取收盘价
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pricePre = gpcode_manager.get_price_pre(code)
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if pricePre is not None:
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rate = round((price - pricePre) * 100 / pricePre, 1)
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if rate >= 0:
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_code_list.append((rate, code))
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else:
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_delete_list.append((rate, code))
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# 排序
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new_code_list = sorted(_code_list, key=lambda e: e.__getitem__(0), reverse=True)
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client_ids = data_process.getValidL2Clients()
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max_count = len(client_ids) * 8
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add_list = new_code_list[:max_count]
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_delete_list.extend(new_code_list[max_count:])
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add_code_list = []
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del_list = []
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for d in add_list:
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add_code_list.append(d[1])
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for d in _delete_list:
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del_list.append(d[1])
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for code in add_code_list:
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L2CodeOperate.get_instance().add_operate(1, code, "现价变化")
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for code in del_list:
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L2CodeOperate.get_instance().add_operate(0, code, "现价变化")
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print(add_code_list, del_list)
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def on_bar(context, bars):
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print("on_bar", bars)
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def re_subscribe_tick():
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gpcode_list = gpcode_manager.get_gp_list_with_prefix()
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codes_str = ",".join(gpcode_list)
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print("订阅：", codes_str)
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# TODO
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gmapi.subscribe(symbols=codes_str, frequency='tick', count=2, wait_group=False, wait_group_timeout='10s',
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unsubscribe_previous=True)
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def re_subscribe_bar():
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gpcode_list = gpcode_manager.get_gp_list_with_prefix()
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codes_str = ",".join(gpcode_list)
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print("订阅：", codes_str)
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gmapi.subscribe(symbols=codes_str, frequency='60s', count=1,
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unsubscribe_previous=True)
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def recieve_msg(pipe):
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while True:
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value = pipe.recv()
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print("跨进程通信：", value)
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jsonValue = json.loads(value)
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action = jsonValue["type"]
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if action == 'resub':
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re_subscribe_tick()
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elif action == 'accpt_price':
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try:
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datas = jsonValue["data"]
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for data in datas:
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accpt_price(data["code"], float(data["price"]))
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except Exception as e:
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print(str(e))
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class JueJinManager:
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def __init__(self, pipe):
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self.pipe = pipe
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# 开启线程接受数据
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t1 = threading.Thread(target=lambda: recieve_msg(pipe))
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t1.setDaemon(True)
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t1.start()
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@staticmethod
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def get_gp_latest_info(codes):
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account_id, s_id, token = getAccountInfo()
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symbols = gpcode_manager.get_gp_list_with_prefix(codes)
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gmapi.set_token(token)
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data = gmapi.get_instruments(symbols=",".join(symbols))
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print(data)
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return data
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@staticmethod
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def get_gp_current_info(codes):
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account_id, s_id, token = getAccountInfo()
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symbols = gpcode_manager.get_gp_list_with_prefix(codes)
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gmapi.set_token(token)
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data = gmapi.current(symbols=",".join(symbols))
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print(data)
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return data
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def start(self):
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account_id, s_id, token = getAccountInfo()
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gmapi.run(strategy_id=s_id,
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filename='juejin.py',
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# todo 回测模式
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mode=gmapi.MODE_LIVE,
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backtest_start_time='2022-08-18 09:25:00',
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backtest_end_time='2022-08-18 10:30:00',
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token=token)
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def stop(self):
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gmapi.stop()
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def trade(code, volume):
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account_id, s_id, token = getAccountInfo()
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gmapi.set_token(token)
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gmapi.set_account_id(account_id)
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result = gmapi.order_volume(symbol=code, volume=volume, side=gmapi.OrderSide_Sell,
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order_type=gmapi.OrderType_Market, position_effect=gmapi.PositionEffect_Close)
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print(result)
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# 获取近90天的最大量与最近的量
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def get_volumns(codes):
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end = datetime.datetime.now()
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# 获取近90天的历史数据
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cha = datetime.timedelta(days=90)
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start = end - cha
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account_id, s_id, token = getAccountInfo()
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gmapi.set_token(token)
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gmapi.set_account_id(account_id)
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results = gmapi.history(symbol=gpcode_manager.get_gp_list_with_prefix(codes), frequency="1d",
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start_time="{:%Y-%m-%d}".format(start),
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fields="symbol,volume,eob",
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end_time="{:%Y-%m-%d}".format(end))
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_fresult = {}
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for result in results:
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code = result["symbol"].split(".")[1]
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volumn = int(result["volume"])
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day = "{:%Y-%m-%d}".format(result["eob"])
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if _fresult.get(code) is None:
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_fresult[code] = (volumn, volumn)
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if volumn > _fresult[code][0]:
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_fresult[code] = (volumn, _fresult[code][1])
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_fresult[code] = (_fresult[code][0], volumn)
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return _fresult
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if __name__ == '__main__':
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pass
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