Administrator
2024-04-02 1e0065d1f45ec3d9ecda1d3e35d958c08db537dc
bug修改/加入设置单支票买入金额接口
3个文件已修改
42 ■■■■ 已修改文件
l2/cancel_buy_strategy.py 8 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
l2/l2_data_manager_new.py 10 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
trade/huaxin/huaxin_trade_server.py 24 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
l2/cancel_buy_strategy.py
@@ -2040,12 +2040,12 @@
        return False, None, "还有大单没撤单"
def place_order_success(self, code):
    self.clear(code)
    def place_order_success(self, code):
        self.clear(code)
def cancel_success(self, code):
    self.clear(code)
    def cancel_success(self, code):
        self.clear(code)
# ---------------------------------独苗撤-------------------------------
l2/l2_data_manager_new.py
@@ -1,28 +1,24 @@
import copy
import logging
import random
import time as t
from code_attribute import big_money_num_manager, code_volumn_manager, code_data_util, industry_codes_sort, \
    limit_up_time_manager, global_data_loader, gpcode_manager, code_nature_analyse
import constant
from code_attribute.code_nature_analyse import HighIncreaseCodeManager
from db.redis_manager_delegate import RedisUtils
from l2.huaxin import l2_huaxin_util, huaxin_delegate_postion_manager
from l2.l2_sell_manager import L2MarketSellManager, L2LimitUpSellManager
from l2.l2_transaction_data_manager import HuaXinSellOrderStatisticManager
from l2.transaction_progress import TradeBuyQueue
from log_module import async_log_util, log_export
from third_data import kpl_data_manager, block_info, history_k_data_util
from third_data.history_k_data_util import HistoryKDatasUtils
from third_data import kpl_data_manager, block_info
from utils import global_util, ths_industry_util, tool, buy_condition_util
import l2_data_util
from db import redis_manager_delegate as redis_manager
from third_data.code_plate_key_manager import CodePlateKeyBuyManager, KPLCodeJXBlockManager, LimitUpCodesPlateKeyManager
from third_data.code_plate_key_manager import CodePlateKeyBuyManager, KPLCodeJXBlockManager
from trade import trade_manager, trade_queue_manager, l2_trade_factor, l2_trade_util, \
    trade_result_manager, current_price_process_manager, trade_data_manager, trade_huaxin, trade_record_log_util
from l2 import l2_data_manager, l2_log, l2_data_source_util, code_price_manager, \
    transaction_progress, cancel_buy_strategy, l2_data_log
    transaction_progress, cancel_buy_strategy
from l2.cancel_buy_strategy import SCancelBigNumComputer, HourCancelBigNumComputer, DCancelBigNumComputer, \
    LCancelBigNumComputer, LatestCancelIndexManager, LCancelRateManager, GCancelBigNumComputer
from l2.l2_data_manager import L2DataException, OrderBeginPosInfo
trade/huaxin/huaxin_trade_server.py
@@ -1529,13 +1529,13 @@
                            is_near_big_order = False
                            try:
                                count = 0
                                for i in range(place_order_index-1, -1, -1):
                                for i in range(place_order_index - 1, -1, -1):
                                    data = total_datas[i]
                                    val = data["val"]
                                    if not L2DataUtil.is_limit_up_price_buy(val):
                                        continue
                                    money = val["num"]*float(val["price"])
                                    if money <50*100:
                                    money = val["num"] * float(val["price"])
                                    if money < 50 * 100:
                                        continue
                                    left_count = l2_data_source_util.L2DataSourceUtils.get_limit_up_buy_no_canceled_count_v2(
                                        code,
@@ -1546,17 +1546,15 @@
                                    if left_count <= 0:
                                        continue
                                    if money >= 299*100:
                                    if money >= 299 * 100:
                                        if count < 1:
                                            is_near_big_order = True
                                    else:
                                        count+=1
                                        count += 1
                                        if count >= 1:
                                            break
                            except:
                                pass
                            fdata = {"code_info": (code, code_name), "total_num": total_nums,
                                     "finish_num": deal_or_cancel_num,
@@ -1578,7 +1576,7 @@
                                     "trade_progress_percent": round(
                                         total_left_num * float(limit_up_price) * 100 * 100 / buy1_money, 2),  # 成交进度比例
                                     "limit_up_price": float(gpcode_manager.get_limit_up_price(code)),
                                     "is_near_big_order":is_near_big_order
                                     "is_near_big_order": is_near_big_order
                                     }
                            fdatas.append(fdata)
                        except Exception as e:
@@ -1645,7 +1643,13 @@
                        self.send_response({"code": 0, "data": {"mode": sell_mode}}, client_id, request_id)
                except Exception as e:
                    self.send_response({"code": 1, "msg": str(e)}, client_id, request_id)
            elif ctype == "set_per_code_buy_money":
                # 设置单只票的买入金额
                money = data["money"]
                if money > 30000:
                    raise Exception("最多只能设置3w")
                constant.BUY_MONEY_PER_CODE = money
                self.send_response({"code": 0, "data": {"money": money}}, client_id, request_id)
        except Exception as e:
            logging.exception(e)
            self.send_response({"code": 1, "msg": f"数据处理出错:{e}"}, client_id, request_id)
@@ -1765,8 +1769,6 @@
        logger_system.info("create TradeServer")
        t1 = threading.Thread(target=lambda: clear_invalid_client(), daemon=True)
        t1.start()
        laddr = "0.0.0.0", 10008
        try: