Administrator
2024-03-18 9c04f11f32c742663b68a531df6a69bff05fe9a4
code_attribute/first_target_code_data_processor.py
@@ -3,21 +3,20 @@
"""
# 处理首板代码信息
import logging
import constant
import inited_data
from code_attribute import gpcode_manager, gpcode_first_screen_manager, global_data_loader, code_nature_analyse, \
from code_attribute import gpcode_manager, gpcode_first_screen_manager, code_nature_analyse, \
    code_volumn_manager
from code_attribute.code_data_util import ZYLTGBUtil
from code_attribute.code_nature_analyse import HighIncreaseCodeManager
from code_attribute.gpcode_manager import WantBuyCodesManager
from log_module.log import logger_first_code_record, logger_l2_codes_subscript
from third_data import kpl_api, block_info
from third_data.code_plate_key_manager import CodesHisReasonAndBlocksManager
from third_data.history_k_data_util import HistoryKDatasUtils
from third_data.kpl_data_manager import KPLLimitUpDataRecordManager
from ths import l2_code_operate
from trade import trade_data_manager
from utils import global_util, tool
from trade import trade_data_manager, l2_trade_util
from trade.trade_manager import MarketSituationManager
from utils import global_util, tool, init_data_util, buy_condition_util
__CodesPlateKeysManager = CodesHisReasonAndBlocksManager()
@@ -25,6 +24,8 @@
def process_first_codes_datas(dataList, request_id=None):
    logger_l2_codes_subscript.info(f"{request_id}加载l2代码相关数据")
    print("首板代码数量:", len(dataList))
    # 获取最近5天的交易日期,为后面的数据计算做准备
    HistoryKDatasUtils.get_latest_trading_date_cache(5)
    limit_up_price_dict = {}
    temp_codes = []
    codes = []
@@ -46,7 +47,7 @@
                # 获取涨停价
                _limit_up_price = gpcode_manager.get_limit_up_price(code)
                if not _limit_up_price:
                    inited_data.re_set_price_pres([code], True)
                    init_data_util.re_set_price_pres([code], True)
                    # 再次获取涨停价
                    _limit_up_price = gpcode_manager.get_limit_up_price(code)
                if _limit_up_price:
@@ -83,7 +84,7 @@
    for code in codes:
        # 如果涨停价是空值就需要设置昨日收盘价格
        if gpcode_manager.get_limit_up_price(code) is None:
            inited_data.re_set_price_pres([code], True)
            init_data_util.re_set_price_pres([code], True)
    # 板块关键字准备  暂时删除
    # for code in codes:
@@ -104,7 +105,8 @@
    # 获取60天最大记录
    for code in codes:
        need_get_volumn = False
        if code not in global_util.max60_volumn or global_util.max60_volumn.get(code) is None:
        if code not in global_util.max60_volumn or global_util.max60_volumn.get(
                code) is None or code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code) is None:
            need_get_volumn = True
        # if not need_get_volumn and code_nature_analyse.CodeNatureRecordManager.get_nature_cache(
        #         code) is None:
@@ -114,13 +116,60 @@
            if limit_up_price is None:
                continue
            try:
                volumes_data = inited_data.get_volumns_by_code(code, 150)
                volumes = inited_data.parse_max_volume(volumes_data[:90],
                                                       code_nature_analyse.is_new_top(
                                                           limit_up_price,
                                                           volumes_data[:90]))
                volumes_data = init_data_util.get_volumns_by_code(code, 150)
                volumes = init_data_util.parse_max_volume(volumes_data[:90],
                                                          code_nature_analyse.is_new_top(
                                                              limit_up_price,
                                                              volumes_data[:90]) or code_nature_analyse.is_near_top(
                                                              limit_up_price,
                                                              volumes_data[:90]))
                logger_first_code_record.info("{} 获取到首板60天最大量:{}", code, volumes)
                code_volumn_manager.set_histry_volumn(code, volumes[0], volumes[1], volumes[2])
                code_volumn_manager.set_histry_volumn(code, volumes[0], volumes[1], volumes[2], volumes[3])
                # 保存K线形态
                k_format = code_nature_analyse.get_k_format(limit_up_price, volumes_data)
                code_nature_analyse.CodeNatureRecordManager().save_k_format(code, k_format)
                # 是否具有辨识度
                is_special = True if k_format and k_format[8][0] else False
                if not WantBuyCodesManager().is_in_cache(code):
                    if not is_special:
                        situation = MarketSituationManager().get_situation_cache()
                        zylt_threshold_as_yi = buy_condition_util.get_zyltgb_threshold(situation)
                        if global_util.zyltgb_map.get(code) and global_util.zyltgb_map.get(code) > zylt_threshold_as_yi[
                            1] * 100000000:
                            l2_trade_util.forbidden_trade(code,
                                                          f"无辨识度,自由流通市值({global_util.zyltgb_map.get(code) // 100000000})>{zylt_threshold_as_yi[1]}亿")
                            continue
                        elif limit_up_price and float(limit_up_price) >= 50:
                            l2_trade_util.forbidden_trade(code,
                                                          f"无辨识度,涨停价({limit_up_price})>50")
                            continue
                    if code_nature_analyse.is_price_too_high_in_days(volumes_data, limit_up_price)[0]:
                        # 判断是否太高
                        l2_trade_util.forbidden_trade(code, "6天内股价长得太高")
                        continue
                        pass
                    if code_nature_analyse.is_continue_limit_up_not_enough_fall_dwon(volumes_data):
                        # 判断是否太高
                        l2_trade_util.forbidden_trade(code, "回踩不够")
                        continue
                if code_nature_analyse.is_up_too_high_in_10d_with_limit_up(volumes_data):
                    # 判断是否太高
                    HighIncreaseCodeManager().add_code(code)
                if code_nature_analyse.is_up_too_high_in_120d(volumes_data):
                    # 判断是否太高
                    # l2_trade_util.forbidden_trade(code, "120天内股价长得太高")
                    # HighIncreaseCodeManager().add_code(code)
                    pass
                if code_nature_analyse.is_have_latest_max_volume(volumes_data, 2):
                    # 最近2天是否是最高量
                    code_nature_analyse.LatestMaxVolumeManager().set_has_latest_max_volume(code)
                # 判断K线形态
                # is_has_k_format, msg = code_nature_analyse.is_has_k_format(
                #     gpcode_manager.get_limit_up_price(code), volumes_data)
@@ -136,6 +185,7 @@
                #                                      volumes_data)
            except Exception as e:
                logger_first_code_record.error(f"{code}:{str(e)}")
                logger_first_code_record.exception(e)
    gpcode_manager.FirstCodeManager().add_record(codes)
    # 初始化板块信息,暂时删除
    # for code in codes:
@@ -156,6 +206,9 @@
                    l2_code_operate.L2CodeOperate.get_instance().add_operate(0, lc, "代码被移除")
    # 保存现价
    if dataList:
        situation = MarketSituationManager().get_situation_cache()
        zyltgb_thresholds = buy_condition_util.get_zyltgb_threshold(situation)
        want_codes = gpcode_manager.WantBuyCodesManager().list_code_cache()
        for data in dataList:
            code = data["code"]
            codes.append(code)
@@ -164,12 +217,30 @@
                limit_up_price_dict[code] = limit_up_price
            else:
                temp_codes.append(code)
            # 自由流通市值不符合标准
            if not want_codes or code not in want_codes:
                # 没在想买单
                zyltgb = global_util.zyltgb_map.get(code)
                if zyltgb:
                    zyltgb_as_yi = round(zyltgb / 100000000, 2)
                    if zyltgb_as_yi < zyltgb_thresholds[0] or zyltgb_as_yi > zyltgb_thresholds[6]:
                        # 想买单中的不能排除
                        continue
                    elif zyltgb_as_yi > zyltgb_thresholds[1]:
                        # 比最大可买大的,如果没有短期辨识度就不买
                        k_format = code_nature_analyse.CodeNatureRecordManager().get_k_format_cache(code)
                        if k_format and k_format[8][0] and k_format[8][1].find("短期") >= 0:
                            pass
                        else:
                            # 无短期辨识度
                            continue
            tick_datas.append({"code": code, "price": data["price"], "volume": data["volume"],
                               "volumeUnit": data["volumeUnit"]})
    # 获取涨停价
    if temp_codes:
        # 获取涨停价
        inited_data.re_set_price_pres(temp_codes)
        init_data_util.re_set_price_pres(temp_codes)
        # 重新获取涨停价
        for code in temp_codes:
            limit_up_price = gpcode_manager.get_limit_up_price(code)
@@ -195,19 +266,13 @@
            gpcode_manager.FirstCodeManager().add_limited_up_record([code])
        pricePre = gpcode_manager.CodePrePriceManager.get_price_pre_cache(code)
        if pricePre is None:
            inited_data.re_set_price_pres([code])
            init_data_util.re_set_price_pres([code])
        rate = round((float(price) - pricePre) * 100 / pricePre, 1)
        prices.append(
            {"code": code, "time": limit_up_time, "rate": rate,
             "limit_up": is_limit_up})
        if code in new_add_codes:
            if is_limit_up:
                place_order_count = trade_data_manager.PlaceOrderCountManager().get_place_order_count(
                    code)
                if place_order_count == 0:
                    trade_data_manager.PlaceOrderCountManager().place_order(code)
    gpcode_first_screen_manager.process_ticks(prices)
    logger_l2_codes_subscript.info(f"{request_id}l2代码相关数据加载完成")
    logger_l2_codes_subscript.info(f"({request_id})l2代码相关数据加载完成")
    return tick_datas