"""
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代码信息对外输出
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"""
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# score_info 得分信息
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# 下单参数信息
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# 选股宝
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# 市场热度
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import logging
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import sys
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import time
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import code_attribute
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from code_attribute import code_volumn_manager, limit_up_time_manager, global_data_loader, gpcode_manager, \
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code_nature_analyse
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from l2.l2_data_manager import OrderBeginPosInfo
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from l2.l2_data_util import L2DataUtil
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from third_data.code_plate_key_manager import KPLCodeJXBlockManager
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from utils import global_util, tool
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from log_module import log, log_export
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from l2 import l2_data_manager, l2_data_util, transaction_progress, l2_data_manager_new, code_price_manager
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from l2.cancel_buy_strategy import HourCancelBigNumComputer
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import l2.l2_data_manager_new
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from third_data import kpl_data_manager, kpl_api
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from third_data.kpl_data_manager import KPLLimitUpDataRecordManager
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from trade import l2_trade_factor, trade_manager, l2_trade_util, trade_record_log_util
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from trade.l2_trade_factor import L2TradeFactorUtil
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base_output_content = {}
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kpl_block_info_dict = {}
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__kplDataManager = kpl_data_manager.KPLDataManager()
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|
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def __get_base_html_content():
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print("路径", sys.path[0])
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if base_output_content.get('css') is None:
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__base_html_content = ""
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with open("./output/css/style.css", mode='r') as f:
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lines = f.readlines()
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for line in lines:
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__base_html_content += line
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base_output_content['css'] = __base_html_content
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return f"<head><style>{base_output_content['css']}</style></head>"
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def money_desc(money):
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if abs(money) > 100000000:
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return f"{round(money / 100000000, 2)}亿"
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else:
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return f"{round(money / 10000, 2)}万"
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def get_output_params(code, jingxuan_cache_dict, industry_cache_dict):
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__start_time = time.time()
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def format_plate_output(_plat):
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if _plat in jingxuan_cache_dict:
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return _plat, money_desc(jingxuan_cache_dict[_plat][3])
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elif _plat in industry_cache_dict:
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return _plat, money_desc(industry_cache_dict[_plat][3])
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else:
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return _plat, ''
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params = {
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"base_url": "http://192.168.3.252/kp/",
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}
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day = tool.get_now_date_str()
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is_target_code = gpcode_manager.FirstCodeManager().is_in_first_record_cache(code)
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code_extra_infos = []
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if gpcode_manager.BlackListCodeManager().is_in_cache(code):
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code_extra_infos.append("黑名单")
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if gpcode_manager.WhiteListCodeManager().is_in_cache(code):
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code_extra_infos.append("白名单")
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# 获取白名单,黑名单
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if code_attribute.gpcode_manager.WantBuyCodesManager().is_in_cache(code):
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code_extra_infos.append("想买单")
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if code_attribute.gpcode_manager.PauseBuyCodesManager().is_in_cache(code):
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code_extra_infos.append("暂不买")
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params["code"] = code
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params["code_name"] = f"{gpcode_manager.get_code_name(code)} {code} （{','.join(code_extra_infos)}）"
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total_datas = l2_data_util.local_today_datas.get(code)
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if total_datas is None:
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l2_data_util.load_l2_data(code)
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total_datas = l2_data_util.local_today_datas.get(code)
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if is_target_code:
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limit_up_price = gpcode_manager.get_limit_up_price(code)
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limit_up_time = limit_up_time_manager.LimitUpTimeManager().get_limit_up_time_cache(code)
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volume_rate, volume_info = code_volumn_manager.get_volume_rate(code, with_info=True)
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################################买前评分################################
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# zyltgb, limit_price, bidding, k_form, code_nature, hot_block, volume_rate, limit_up_time,
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# deal_big_money
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log.logger_debug.info(f"板块热度耗时：{time.time() - __start_time}")
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__start_time = time.time()
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###############################下单信息###############################
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params["trade_data"] = {}
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# 获取买入意愿
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__L2PlaceOrderParamsManager = l2_trade_factor.L2PlaceOrderParamsManager(code, True, volume_rate,
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code_volumn_manager.get_volume_rate_index(
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volume_rate),
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None)
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# 是否可以买入的信息
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try:
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can_buy_info = l2.l2_data_manager_new.L2TradeDataProcessor.can_buy_first(code, limit_up_price)
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params["trade_data"]["can_buy_info"] = can_buy_info
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except:
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pass
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# 获取量参考日期
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try:
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volume_refer_date = code_volumn_manager.get_volume_refer_date(code)
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params["trade_data"]["volume_refer_date"] = volume_refer_date
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except:
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pass
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__base_L2PlaceOrderParamsManager = l2_trade_factor.L2PlaceOrderParamsManager(code, False, volume_rate,
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code_volumn_manager.get_volume_rate_index(
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volume_rate),
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None)
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if -1 < __L2PlaceOrderParamsManager.score_index < 3:
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params["trade_data"]["star"] = {"desc": "主动买入"}
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if __L2PlaceOrderParamsManager.score_index == 0:
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params["trade_data"]["star"]["count"] = 3
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elif __L2PlaceOrderParamsManager.score_index == 1:
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params["trade_data"]["star"]["count"] = 2
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else:
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params["trade_data"]["star"]["count"] = 1
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elif __L2PlaceOrderParamsManager.score_index < 0:
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params["trade_data"]["star"] = {"desc": "不执行买入", "count": 0}
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else:
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params["trade_data"]["star"] = {"desc": "被动买入", "count": 0}
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# 安全笔数
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safe_count = __L2PlaceOrderParamsManager.get_safe_count()
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base_safe_count, min_count, max_count = L2TradeFactorUtil.get_safe_buy_count(code, True)
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params["trade_data"]["safe_count"] = {"base": base_safe_count, "now": safe_count}
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# 动态M值
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m = __L2PlaceOrderParamsManager.get_m_val()
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zyltgb = global_util.zyltgb_map.get(code)
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if zyltgb is None:
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global_data_loader.load_zyltgb()
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zyltgb = global_util.zyltgb_map.get(code)
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base_m = L2TradeFactorUtil.get_base_safe_val(zyltgb)
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params["trade_data"]["m_val"] = {"base": base_m // 10000, "now": m[0] // 10000}
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# 买前大单
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big_num = __L2PlaceOrderParamsManager.get_big_num_count()
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base_big_num = __base_L2PlaceOrderParamsManager.get_big_num_count()
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params["trade_data"]["big_num"] = {"base": base_big_num, "now": big_num}
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# 成交进度
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trade_progress, is_default = transaction_progress.TradeBuyQueue().get_traded_index(code)
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if trade_progress is None or trade_progress < 0 or is_default:
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# buy_params_info.append("未识别")
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pass
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else:
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if trade_progress < len(total_datas):
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trade_progress_datas = []
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for min_money in [30000, 20000, 10000]:
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for i in range(trade_progress - 1, -1, -1):
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# 是否为涨停买
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data = total_datas[i]
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if L2DataUtil.is_limit_up_price_buy(total_datas[i]['val']):
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if data['val']['num'] * float(data['val']['price']) > min_money:
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trade_progress_datas.append({"time": data['val']['time'],
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"num": data['val']['num'], "money": money_desc(round(
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data['val']['num'] * float(data['val']['price']) * 100))})
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break
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if trade_progress_datas:
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break
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data = total_datas[trade_progress]
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trade_progress_datas.append({"time": data['val']['time'],
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"num": data['val']['num'], "money": money_desc(round(
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data['val']['num'] * float(data['val']['price']) * 100))})
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params["trade_data"]["trade_progress"] = trade_progress_datas
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# 买入信号
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order_begin_pos = l2_data_manager.TradePointManager().get_buy_compute_start_data_cache(
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code)
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if order_begin_pos.buy_single_index is None:
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# buy_params_info.append("无信号")
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pass
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else:
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data = total_datas[order_begin_pos.buy_single_index]
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params["trade_data"]["buy_single"] = {"time": data['val']['time'], "num": data['val']['num'],
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"money": round(data['val']['num'] * float(
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data['val']['price']) * 100 / 10000, 1)}
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if order_begin_pos.buy_exec_index is None or order_begin_pos.buy_exec_index < 0:
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# buy_params_info.append("未下单")
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pass
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else:
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data = total_datas[order_begin_pos.buy_exec_index]
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params["trade_data"]["buy_exec"] = {"time": data['val']['time'], "num": data['val']['num'],
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"money": round(data['val']['num'] * float(
|
data['val']['price']) * 100 / 10000, 1)}
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params["trade_data"]["trade_state"] = {}
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trade_state = trade_manager.CodesTradeStateManager().get_trade_state_cache(code)
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if trade_state == trade_manager.TRADE_STATE_BUY_PLACE_ORDER or trade_state == trade_manager.TRADE_STATE_BUY_DELEGATED:
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params["trade_data"]["trade_state"]["order"] = True
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params["trade_data"]["trade_state"]["desc"] = "已下单"
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else:
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params["trade_data"]["trade_state"]["order"] = False
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if trade_state == trade_manager.TRADE_STATE_NOT_TRADE:
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params["trade_data"]["trade_state"]["desc"] = "未交易"
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elif trade_state == trade_manager.TRADE_STATE_BUY_CANCEL_ING:
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params["trade_data"]["trade_state"]["desc"] = "撤单中"
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elif trade_state == trade_manager.TRADE_STATE_BUY_CANCEL_SUCCESS:
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params["trade_data"]["trade_state"]["desc"] = "撤单成功"
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elif trade_state == trade_manager.TRADE_STATE_BUY_SUCCESS:
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params["trade_data"]["trade_state"]["desc"] = "已成交"
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log.logger_debug.info(f"下单信息耗时：{time.time() - __start_time}")
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__start_time = time.time()
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# H撤监听范围
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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:
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hcancel_datas_dict, cancel_indexes_set = HourCancelBigNumComputer().get_watch_index_dict(code)
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# 根据日志读取实时的计算数据
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h_cancel_latest_compute_info = log_export.get_h_cancel_compute_info(code)
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if hcancel_datas_dict:
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temp_list = [(k, hcancel_datas_dict[k][0]) for k in hcancel_datas_dict]
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canceled_indexs = set([int(k.split("-")[0]) for k in cancel_indexes_set])
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temp_list.sort(key=lambda x: x[0])
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params["trade_data"]["h_cancel"] = {
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"computed_info": list(h_cancel_latest_compute_info) if h_cancel_latest_compute_info else None,
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"datas": []}
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for i in range(0, len(temp_list)):
|
temp = temp_list[i]
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val = total_datas[temp[0]]["val"]
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canceled = temp[0] in canceled_indexs
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params["trade_data"]["h_cancel"]["datas"].append(
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(val["time"], val["num"], money_desc(val["num"] * float(val["price"]) * 100),
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(1 if canceled else 0)))
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log.logger_debug.info(f"H撤监听范围耗时：{time.time() - __start_time}")
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__start_time = time.time()
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|
##############################主动买，被动买##################################
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# 返回主动买,被动买,不买的列表(代码, 名称, 得分, 是否涨停)
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# codes_score = __load_codes_scores()
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params["initiative_buy_codes"] = []
|
# for d in codes_score[0]:
|
# params["initiative_buy_codes"].append(
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# {"name": d[1], "code": d[0], "score": d[2], "limit_up": d[3], "open_limit_up": d[4]})
|
|
params["passive_buy_codes"] = []
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# for d in codes_score[1]:
|
# params["passive_buy_codes"].append(
|
# {"name": d[1], "code": d[0], "score": d[2], "limit_up": d[3], "open_limit_up": d[4]})
|
|
params["passive_buy_codes"] = params["passive_buy_codes"]
|
log.logger_debug.info(f"主动买，被动买耗时：{time.time() - __start_time}")
|
__start_time = time.time()
|
|
trade_info = __load_trade_record(code, total_datas)
|
params["trade_record"] = {"open_limit_up": trade_info[0], "records": trade_info[2]}
|
|
log.logger_debug.info(f"读取交易记录耗时：{time.time() - __start_time}")
|
__start_time = time.time()
|
|
##############################开盘啦相关信息##################################
|
industry = global_util.code_industry_map.get(code)
|
params["kpl_code_info"] = {
|
"industry": format_plate_output(industry)}
|
# 获取开盘啦板块
|
plate_info = None
|
jingxuan_block_info = KPLCodeJXBlockManager().get_jx_blocks_cache(code)
|
if not jingxuan_block_info:
|
jingxuan_block_info = KPLCodeJXBlockManager().get_jx_blocks_cache(code, by=True)
|
if jingxuan_block_info:
|
jingxuan_blocks = jingxuan_block_info[0]
|
plate_info = [(0, x, 0) for x in jingxuan_blocks] # set([x[1] for x in jingxuan_blocks])
|
if not plate_info:
|
if code not in kpl_block_info_dict:
|
plate_info = kpl_api.getStockIDPlate(code)
|
else:
|
plate_info = kpl_block_info_dict.get(code)
|
if plate_info:
|
kpl_block_info_dict[code] = plate_info
|
plate_info.sort(key=lambda x: x[2])
|
plate_info.reverse()
|
params["kpl_code_info"]["plate"] = [(k[0], k[1], k[2], format_plate_output(k[1])[1]) for k in plate_info]
|
|
log.logger_debug.info(f"开盘啦板块耗时：{time.time() - __start_time}")
|
__start_time = time.time()
|
|
# 获取代码的历史涨停数据,(涨停原因,日期,板块)
|
code_records = KPLLimitUpDataRecordManager.get_latest_infos(code, 4, False)[:2]
|
if code_records:
|
code_records = [(format_plate_output(k[0]), k[1], [format_plate_output(k1) for k1 in k[2].split("、")]) for k in
|
code_records]
|
params["kpl_code_info"]["code_records"] = code_records
|
|
if not KPLLimitUpDataRecordManager.total_datas:
|
KPLLimitUpDataRecordManager.load_total_datas()
|
for d in KPLLimitUpDataRecordManager.total_datas:
|
if d[3] == code:
|
# 获取今日
|
plates = d[6].split("、")
|
plates = [format_plate_output(p) for p in plates]
|
params["kpl_code_info"]["today"] = (format_plate_output(d[2]), d[1], plates)
|
break
|
|
log.logger_debug.info(f"获取代码的历史涨停数据耗时：{time.time() - __start_time}")
|
__start_time = time.time()
|
return params
|
|
|
def __load_trade_record(code, total_datas):
|
def format_l2_data(item):
|
return f"{item['val']['time']}#{item['val']['num']}手#{round(item['val']['num'] * float(item['val']['price']) * 100 / 10000, 1)}万"
|
|
def load_cancel_watch_index(latest_cancel_watch_index_dict_):
|
for k in latest_cancel_watch_index_dict_:
|
records_new_data.append(latest_cancel_watch_index_dict_[k])
|
latest_cancel_watch_index_dict_.clear()
|
|
# 获取炸板信息
|
limit_up_info = code_price_manager.Buy1PriceManager().get_limit_up_info(code)
|
break_time = limit_up_info[1]
|
records = []
|
try:
|
records = log_export.load_trade_recod(code)
|
except:
|
pass
|
records_new = []
|
records_new_data = []
|
index = 0
|
if records:
|
try:
|
latest_cancel_watch_index_dict = {}
|
for record in records:
|
time_ = record[0]
|
type = record[1]
|
data = record[2]
|
if type == trade_record_log_util.TYPE_PLACE_ORDER:
|
# if data['kpl_blocks'] and (type(data['kpl_blocks'][0]) == list or type(data['kpl_blocks'][0]) == tuple):
|
# records_new_data.append((time_, "开盘啦推荐原因",
|
# f"{'、'.join([k[1] for k in data['kpl_blocks']])}",
|
# None))
|
# else:
|
records_new_data.append((time_, "开盘啦推荐原因",
|
f"{'、'.join(data['kpl_blocks'])}",
|
None))
|
if "kpl_match_blocks" in data:
|
if data["kpl_match_blocks"]:
|
records_new_data.append((time_, "匹配原因",
|
f"{'、'.join(data['kpl_match_blocks'])}",
|
None))
|
else:
|
records_new_data.append((time_, "匹配原因",
|
f"独苗",
|
None))
|
extra_datas = []
|
if data['big_num_indexes']:
|
big_num_desc = []
|
for i in data['big_num_indexes']:
|
big_num_desc.append(format_l2_data(total_datas[i]))
|
extra_datas.append(f"包含大单：{' & '.join(big_num_desc)}")
|
extra_datas.append(f"M值：{money_desc(data['m_val'])}")
|
extra_datas.append(f"安全笔数：{data['safe_count']}")
|
|
records_new_data.append((time_, "", "-------------------------", []))
|
mode = data.get('mode')
|
if mode == OrderBeginPosInfo.MODE_FAST:
|
records_new_data.append((time_, "闪电下单",
|
f"【{format_l2_data(total_datas[data['buy_single_index']])}】-【{format_l2_data(total_datas[data['buy_exec_index']])}】",
|
extra_datas))
|
else:
|
records_new_data.append((time_, "下单",
|
f"【{format_l2_data(total_datas[data['buy_single_index']])}】-【{format_l2_data(total_datas[data['buy_exec_index']])}】",
|
extra_datas))
|
elif type == trade_record_log_util.TYPE_REAL_PLACE_ORDER_POSITION:
|
_datas = []
|
MIN_MONEYS = [30000, 20000, 10000]
|
for min_money in MIN_MONEYS:
|
for i in range(data['index'] - 2, 0, -1):
|
if L2DataUtil.is_limit_up_price_buy(total_datas[i]['val']) and total_datas[i]['val'][
|
'num'] * float(total_datas[i]['val']['price']) >= min_money:
|
_datas.append(f"【{format_l2_data(total_datas[i])}】")
|
if len(_datas) >= 1:
|
break
|
if len(_datas) >= 1:
|
break
|
for i in range(data['index'], 0, -1):
|
if L2DataUtil.is_limit_up_price_buy(total_datas[i]['val']) and total_datas[i]['val'][
|
'num'] * float(total_datas[i]['val']['price']) >= 3000:
|
_datas.append(f"【{format_l2_data(total_datas[i])}】")
|
break
|
records_new_data.append(
|
(time_, "实际挂单位", "".join(_datas), []))
|
|
elif type == trade_record_log_util.TYPE_CANCEL_WATCH_INDEXES:
|
indexes = data['watch_indexes']
|
if indexes:
|
cancel_type = data['cancel_type']
|
indexes.sort()
|
indexes_data = []
|
for index in indexes:
|
indexes_data.append(format_l2_data(total_datas[index]))
|
desc = f"【{format_l2_data(total_datas[indexes[0]])}】-【{format_l2_data(total_datas[indexes[-1]])}】"
|
if cancel_type == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_L_DOWN:
|
latest_cancel_watch_index_dict[cancel_type] = (time_, "L撤后囊括", desc, indexes_data)
|
elif cancel_type == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_L_UP:
|
latest_cancel_watch_index_dict[cancel_type] = (time_, "L撤前囊括", desc, indexes_data)
|
elif cancel_type == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_H:
|
latest_cancel_watch_index_dict[cancel_type] = (time_, "H撤囊括", desc, indexes_data)
|
elif cancel_type == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_D:
|
latest_cancel_watch_index_dict[cancel_type] = (time_, "D撤囊括", desc, indexes_data)
|
elif cancel_type == trade_record_log_util.CancelWatchIndexesInfo.CANCEL_TYPE_S:
|
latest_cancel_watch_index_dict[cancel_type] = (time_, "S撤囊括", desc, indexes_data)
|
elif type == trade_record_log_util.TYPE_FORBIDDEN_BUY:
|
records_new_data.append((time_, "加入黑名单", f"原因：{data['msg']}", []))
|
elif type == trade_record_log_util.TYPE_CANT_PLACE_ORDER:
|
records_new_data.append((time_, "不能下单", f"原因：{data['msg']}", []))
|
elif type == trade_record_log_util.TYPE_CANCEL:
|
load_cancel_watch_index(latest_cancel_watch_index_dict)
|
records_new_data.append((time_, "撤单", f"原因：{data['msg']}", []))
|
load_cancel_watch_index(latest_cancel_watch_index_dict)
|
records_new_data.sort(key=lambda x: x[0])
|
if records_new_data:
|
for d in records_new_data:
|
records_new.append(f"【{d[0]}】" + "{:<10}".format(f'【{d[1]}】') + d[2])
|
except Exception as e:
|
logging.exception(e)
|
records_new.reverse()
|
records_new_data.reverse()
|
return break_time, records_new, records_new_data
|
|
|
# 返回内容[（类型,buy_single_index,indexes）]
|
def load_trade_record_cancel_watch_indexes(code, cancel_type=None):
|
fresults = []
|
records = []
|
try:
|
records = log_export.load_trade_recod(code)
|
except:
|
pass
|
if records:
|
for record in records:
|
time_ = record[0]
|
type = record[1]
|
data = record[2]
|
if type == trade_record_log_util.TYPE_CANCEL_WATCH_INDEXES:
|
indexes = data['watch_indexes']
|
if indexes:
|
if cancel_type and cancel_type != data.get("cancel_type"):
|
continue
|
fresults.append((data.get("cancel_type"), data.get('buy_single_index'), indexes))
|
return fresults
|
|
|
if __name__ == '__main__':
|
code = '600713'
|
l2_data_util.load_l2_data(code)
|
fresults = __load_trade_record(code, l2_data_util.local_today_datas.get(code))
|
print(fresults)
|
