import json
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import logging
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import multiprocessing
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import threading
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import time
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import schedule
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from code_atrribute import gpcode_manager
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from code_atrribute.history_k_data_util import HistoryKDatasUtils
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from huaxin_client.client_network import SendResponseSkManager
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from log_module import async_log_util
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from log_module.log import logger_trade, logger_debug, logger_system, logger_local_huaxin_l1_trade_info, \
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logger_trade_position_api_request
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from trade import huaxin_trade_data_update, huaxin_sell_util, huaxin_trade_api
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from trade.huaxin_trade_record_manager import PositionManager
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from trade.sell_rule_manager import TradeRuleManager, SellRule
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from utils import outside_api_command_manager, middle_api_protocol, tool, huaxin_util, socket_util
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from utils.outside_api_command_manager import ActionCallback
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import concurrent.futures
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class OutsideApiCommandCallback(ActionCallback):
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__cancel_sell_thread_pool = concurrent.futures.ThreadPoolExecutor(max_workers=8)
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@classmethod
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def __send_response(cls, data_bytes):
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sk = SendResponseSkManager.create_send_response_sk(addr=middle_api_protocol.SERVER_HOST,
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port=middle_api_protocol.SERVER_PORT)
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try:
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data_bytes = socket_util.load_header(data_bytes)
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sk.sendall(data_bytes)
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result, header_str = socket_util.recv_data(sk)
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result = json.loads(result)
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if result["code"] != 0:
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raise Exception(result['msg'])
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finally:
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sk.close()
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def send_response(self, data, _client_id, _request_id):
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data_bytes = json.dumps({"type": "response", "data": data, "client_id": _client_id,
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"request_id": _request_id}).encode('utf-8')
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for i in range(3):
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try:
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self.__send_response(data_bytes)
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print("发送数据成功")
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break
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except Exception as e1:
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logging.exception(e1)
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# 撤长期没有成交的单
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def __cancel_not_deal_order(self, code, order_ref, timeout=3):
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time.sleep(timeout)
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# 撤买单
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huaxin_trade_api.cancel_order(1, code, "", orderRef=order_ref)
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def OnTrade(self, client_id, request_id, data):
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try:
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trade_type = data["trade_type"]
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if trade_type == outside_api_command_manager.TRADE_TYPE_ORDER:
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code = data["code"]
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direction = data["direction"]
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volume = data["volume"]
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price_type = data["price_type"]
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price = data["price"]
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sinfo = data["sinfo"]
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if direction == 2:
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# price_type: 0-价格笼子 1-跌停价 2-涨停价 3-现价 4-买5价
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async_log_util.info(logger_trade, f"API卖: 接收数据-{data}")
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current_price = L1DataProcessor.get_l1_current_price(code)
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limit_down_price = gpcode_manager.get_limit_down_price(code)
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limit_up_price = gpcode_manager.get_limit_up_price(code)
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order_ref = huaxin_util.create_order_ref()
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try:
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result = huaxin_sell_util.start_sell(code, volume, price_type, limit_up_price, limit_down_price,
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current_price, blocking=True, request_id=request_id,
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order_ref=order_ref)
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async_log_util.info(logger_trade, f"API卖结果: {result}")
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self.send_response(result, client_id, request_id)
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except Exception as e:
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if str(e).find("超时") >= 0:
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self.send_response({"code": 0, "data": {"orderRef": order_ref}}, client_id, request_id)
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else:
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raise e
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else:
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if not price:
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if tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") < 0:
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# 开盘之前
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limit_down_price = gpcode_manager.get_limit_down_price(code)
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if not limit_down_price:
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raise Exception("尚未获取跌停价")
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# 比跌停价高1分
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price = round(float(limit_down_price) + 0.01, 2)
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else:
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# 开盘之后
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# 没有传入价格,以最新价买入
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current_price = L1DataProcessor.get_l1_current_price(code)
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if not current_price:
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raise Exception("尚未获取到现价")
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# 获取买1金额
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price = round(float(current_price), 2)
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buy1_info = L1DataProcessor.current_buy1_dict.get(code)
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if buy1_info and buy1_info[0] * buy1_info[1] > 50 * 10000:
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# 如果买1在50w以上就加一档
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price += 0.01
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limit_up_price = gpcode_manager.get_limit_up_price(code)
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if limit_up_price and price > float(limit_up_price):
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price = round(float(limit_up_price), 2)
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order_ref = huaxin_util.create_order_ref()
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result = huaxin_trade_api.order(direction, code, volume, price, price_type=price_type,
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sinfo=sinfo, order_ref=order_ref,
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blocking=True, request_id=request_id)
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# 2s内没成交就撤单
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self.__cancel_sell_thread_pool.submit(self.__cancel_not_deal_order, code, order_ref)
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else:
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result = huaxin_trade_api.order(direction, code, volume, price, price_type=price_type,
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sinfo=sinfo,
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blocking=True, request_id=request_id)
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self.send_response({"code": 0, "data": result}, client_id, request_id)
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except Exception as e:
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logger_debug.exception(e)
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self.send_response({"code": 1, "msg": str(e)}, client_id, request_id)
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def OnSellRule(self, client_id, request_id, data):
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try:
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operate = data["operate"]
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if operate == outside_api_command_manager.OPERRATE_ADD:
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data = data["data"]
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code = data["code"]
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type = data["type"]
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buy1_price = data.get("buy1_price")
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if not buy1_price:
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buy1_price = gpcode_manager.get_limit_up_price(code)
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if not buy1_price:
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raise Exception("尚未获取到涨停价")
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rule = SellRule(code=data["code"], buy1_volume=data["buy1_volume"], buy1_price=buy1_price,
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sell_volume=data.get("sell_volume"), sell_price_type=data.get("sell_price_type"),
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end_time=data["end_time"], type=type)
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TradeRuleManager().add_rule(rule)
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self.send_response({"code": 0, "data": {}}, client_id, request_id)
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elif operate == outside_api_command_manager.OPERRATE_SET:
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data = data["data"]
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code = data["code"]
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buy1_price = data.get("buy1_price")
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if not buy1_price:
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buy1_price = gpcode_manager.get_limit_up_price(code)
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if not buy1_price:
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gpcode_manager.request_price_pre([code])
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buy1_price = gpcode_manager.get_limit_up_price(code)
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if not buy1_price:
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raise Exception("尚未获取到涨停价")
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rule = SellRule(id_=data["id"], code=data["code"], buy1_volume=data["buy1_volume"],
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buy1_price=buy1_price,
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sell_volume=data.get("sell_volume"), sell_price_type=data.get("sell_price_type"),
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end_time=data["end_time"])
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TradeRuleManager().update_rule(rule)
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self.send_response({"code": 0, "data": {}}, client_id, request_id)
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elif operate == outside_api_command_manager.OPERRATE_DELETE:
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data = data["data"]
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TradeRuleManager().del_rule(data["id"])
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self.send_response({"code": 0, "data": {}}, client_id, request_id)
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elif operate == outside_api_command_manager.OPERRATE_GET:
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rules = TradeRuleManager().list_rules()
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fresults = []
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for rule in rules:
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fresults.append(rule.to_dict())
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self.send_response({"code": 0, "data": fresults}, client_id, request_id)
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except Exception as e:
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self.send_response({"code": 1, "msg": str(e)}, client_id, request_id)
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def OnGetCodePositionInfo(self, client_id, request_id, data):
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code = data.get("code")
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__start_time = time.time()
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try:
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if not tool.is_shsz_code(code):
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raise Exception("非主板代码")
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# 获取持仓
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positions = PositionManager.latest_positions
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trade_rules_count = len(TradeRuleManager().list_can_excut_rules_cache())
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fdata = {"code": code, "total": 0, "available": 0, "sell_orders": [], "sell_rules_count": trade_rules_count,
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"cost_price": 0, "code_info": (code, ''), "desc": "", "cost_price_rate": 0}
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if positions:
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for d in positions:
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code_name = d["securityName"]
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fdata["code_info"] = (code, code_name)
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if d["prePosition"] <= 0:
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continue
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if d["securityID"] != code:
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continue
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fdata["total"] = d["prePosition"]
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fdata["available"] = d["availablePosition"]
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fdata["cost_price"] = round(float(d["historyPosPrice"]), 2)
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break
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# 有现价就获取现价
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current_price = L1DataProcessor.get_l1_current_price(code)
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pre_close_price = gpcode_manager.get_price_pre_cache(code)
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if current_price:
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fdata["cost_price"] = current_price
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pre_close_price = gpcode_manager.get_price_pre_cache(code)
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if current_price and pre_close_price:
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rate = round((float(current_price) - float(pre_close_price)) / float(pre_close_price), 4)
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fdata["cost_price_rate"] = rate
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elif pre_close_price:
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fdata["cost_price"] = pre_close_price
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fdata["cost_price_rate"] = 0
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# 获取涨幅
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async_log_util.info(logger_trade_position_api_request, f"{fdata}")
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result = {"code": 0, "data": fdata}
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self.send_response(result, client_id, request_id)
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except Exception as e:
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logging.exception(e)
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self.send_response({"code": 1, "msg": f"数据处理出错：{e}"}, client_id, request_id)
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finally:
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use_time = time.time() - __start_time
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if use_time > 0.01:
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# 耗时10ms以上才记录日志
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async_log_util.info(logger_trade_position_api_request, f"{code}请求持仓耗时：{use_time * 1000}ms")
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def OnRefreshTradeData(self, client_id, request_id, data):
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logger_debug.info(f"交易数据刷新：{data}")
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try:
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sync_type = data["ctype"]
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if sync_type == "position_list":
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huaxin_trade_data_update.add_position_list()
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self.send_response({"code": 0, "data": {}, "msg": ""}, client_id, request_id)
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except Exception as e:
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self.send_response({"code": 1, "msg": str(e)}, client_id, request_id)
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def OnCommonRequest(self, client_id, request_id, data):
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ctype = data["ctype"]
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if ctype == "get_positions":
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# 获取所有持仓信息
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positions = PositionManager.latest_positions
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fdatas = []
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if positions:
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for d in positions:
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code_ = d["securityID"]
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code_name = d["securityName"]
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if d["prePosition"] <= 0:
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continue
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fdatas.append({"code": code_, "code_name": code_name, "total": d["prePosition"],
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"available": d["availablePosition"]})
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result = {"code": 0, "data": fdatas}
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self.send_response(result, client_id, request_id)
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elif ctype == "get_buy1_info":
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# 获取代码的买1信息
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code = data["code"]
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results = HistoryKDatasUtils.get_gp_current_info([code])
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item = results[0]["quotes"][0]
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result = {"code": 0, "data": {"price": item["bid_p"], "volume": item["bid_v"]}}
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self.send_response(result, client_id, request_id)
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elif ctype == "get_current_l1_codes":
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codes = L1DataProcessor.get_latest_update_codes()
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result = {"code": 0, "data": list(codes)}
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self.send_response(result, client_id, request_id)
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class L1DataProcessor:
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__current_price_dict = {}
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current_buy1_dict = {}
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# L1数据更新时间
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__l1_data_update_time_dict = {}
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# 获取最近更新L1的代码
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@classmethod
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def get_latest_update_codes(cls):
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now_time = time.time()
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codes = set()
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for code in cls.__l1_data_update_time_dict:
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if now_time - cls.__l1_data_update_time_dict[code] < 10:
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codes.add(code)
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return codes
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@classmethod
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def set_l1_trade_codes_info(cls, data_json):
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data = data_json["data"]
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request_id = data_json["request_id"]
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datas = data["data"]
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cls.__save_l1_current_price(datas)
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cls.process_for_sell(datas)
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@classmethod
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def process_for_sell(cls, datas):
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rules = TradeRuleManager().list_can_excut_rules_cache(types=[TradeRuleManager.TYPE_SELL])
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excuted_rule_ids = set()
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if rules:
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for d in datas:
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code = d[0]
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cls.__l1_data_update_time_dict[code] = time.time()
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# 格式 (代码,现价,涨幅,量,更新时间,买1价格,买1量)
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buy1_volume = d[6]
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buy1_price = d[5]
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if buy1_volume:
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for r in rules:
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# 生效时间
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if r.code == code:
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# --------判断是否可以执行--------
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can_excute = False
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if round(float(buy1_price), 2) <= round(float(r.buy1_price), 2):
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# 价格已经触发
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if r.buy1_volume:
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if r.buy1_volume >= buy1_volume:
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# 量价触发
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can_excute = True
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async_log_util.info(logger_trade, f"触发卖规则：量触发{buy1_volume}/{r.buy1_volume}")
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else:
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can_excute = True
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async_log_util.info(logger_trade, f"触发卖规则：价格触发{buy1_price}/{r.buy1_price}")
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# 价格触发
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# 获取价格类型
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if not can_excute:
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continue
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# 请求卖出锁
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TradeRuleManager().require_sell_lock(r.id_)
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try:
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if r.id_ in excuted_rule_ids:
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continue
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excuted_rule_ids.add(r.id_)
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# 获取最新的执行状况
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r = TradeRuleManager().get_by_id(r.id_)
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if r.excuted:
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continue
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# 提交卖
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limit_down_price = gpcode_manager.get_limit_down_price(code)
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limit_up_price = gpcode_manager.get_limit_up_price(code)
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huaxin_sell_util.start_sell(code, r.sell_volume, r.sell_price_type, limit_up_price,
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limit_down_price,
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buy1_price)
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TradeRuleManager().excuted(r.id_)
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except Exception as e:
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logger_debug.exception(e)
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finally:
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TradeRuleManager().release_sell_lock(r.id_)
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# 获取L1现价
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@classmethod
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def get_l1_current_price(cls, code):
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return cls.__current_price_dict.get(code)
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# 保存现价
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@classmethod
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def __save_l1_current_price(cls, datas):
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for d in datas:
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code = d[0]
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# 格式 (代码,现价,涨幅,量,更新时间,买1价格,买1量)
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price = d[1]
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cls.__current_price_dict[code] = price
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cls.current_buy1_dict[code] = (d[5], d[6])
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# 读取L1的数据
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def __recv_pipe_l1_trade(queue_l1_trade_w_strategy_r: multiprocessing.Queue):
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logger_system.info(f"trade_server __recv_pipe_l1_trade 线程ID:{tool.get_thread_id()}")
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if queue_l1_trade_w_strategy_r is not None:
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while True:
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try:
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val = queue_l1_trade_w_strategy_r.get()
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if val:
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async_log_util.info(logger_local_huaxin_l1_trade_info, f"客户端接收：{val}")
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val = json.loads(val)
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print("收到来自L1的数据：", val["type"])
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# 处理数据
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type_ = val["type"]
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if type_ == "upload_l1_trade_datas":
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# 处理专为交易提供的L1数据
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L1DataProcessor.set_l1_trade_codes_info(val)
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async_log_util.info(logger_local_huaxin_l1_trade_info, f"{val}")
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except Exception as e:
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logger_local_huaxin_l1_trade_info.exception(e)
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logging.exception(e)
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|
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# 做一些初始化的操作
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def __init():
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def run_pending():
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while True:
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schedule.run_pending()
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time.sleep(1)
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# 9点半后终止运行
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if tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") > 0:
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break
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# 请求持仓
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def request_position():
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for i in range(3):
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time.sleep(10)
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huaxin_trade_data_update.add_position_list()
|
|
# 定时持仓刷新
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schedule.every().day.at("09:00:00").do(huaxin_trade_data_update.add_position_list)
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schedule.every().day.at("09:10:00").do(huaxin_trade_data_update.add_position_list)
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schedule.every().day.at("09:15:00").do(huaxin_trade_data_update.add_position_list)
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threading.Thread(target=run_pending, daemon=True).start()
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threading.Thread(target=request_position, daemon=True).start()
|
|
|
def run(queue_l1_trade_w_strategy_r, queue_l1_trade_r_strategy_w, queue_strategy_r_trade_w, queue_strategy_w_trade_r):
|
try:
|
# 初始化
|
__init()
|
|
# 监听l1交易那边传过来的代码
|
t1 = threading.Thread(target=lambda: __recv_pipe_l1_trade(queue_l1_trade_w_strategy_r), daemon=True)
|
t1.start()
|
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threading.Thread(target=lambda: async_log_util.run_sync(), daemon=True).start()
|
|
huaxin_trade_data_update.run(queue_l1_trade_r_strategy_w)
|
|
huaxin_trade_api.run_pipe_trade(queue_strategy_r_trade_w, queue_strategy_w_trade_r)
|
|
manager = outside_api_command_manager.ApiCommandManager()
|
manager.init(middle_api_protocol.SERVER_HOST,
|
middle_api_protocol.SERVER_PORT,
|
OutsideApiCommandCallback())
|
manager.run(blocking=True)
|
except Exception as e:
|
logger_system.exception(e)
|
