拆单初步规划/禁止交易板块管理

Administrator

2025-01-02 d957e0dc6dcfb15304a6499e1b9ddee4e18be531

 third_data/code_plate_key_manager.py

@@ -222,7 +222,10 @@

# 开盘啦禁止交易板块管理
class KPLPlateForbiddenManager:
    __redisManager = redis_manager.RedisManager(3)
    """
    不能买的板块管理
    """
    __redis_manager = redis_manager.RedisManager(3)
    __kpl_forbidden_plates_cache = set()

    __instance = None
@@ -237,17 +240,22 @@
    def __load_datas(cls):
        __redis = cls.__get_redis()
        try:
            __kpl_forbidden_plates_cache = RedisUtils.smembers(__redis, "kpl_forbidden_plates")
            cls.__kpl_forbidden_plates_cache = RedisUtils.smembers(__redis, "kpl_forbidden_plates")
        finally:
            RedisUtils.realse(__redis)

    @classmethod
    def __get_redis(cls):
        return cls.__redisManager.getRedis()
        return cls.__redis_manager.getRedis()

    def save_plate(self, plate):
        self.__kpl_forbidden_plates_cache.add(plate)
        RedisUtils.sadd(self.__get_redis(), "kpl_forbidden_plates", plate)
        RedisUtils.expire(self.__get_redis(), "kpl_forbidden_plates", tool.get_expire())

    def delete_plate(self, plate):
        self.__kpl_forbidden_plates_cache.discard(plate)
        RedisUtils.srem(self.__get_redis(), "kpl_forbidden_plates", plate)
        RedisUtils.expire(self.__get_redis(), "kpl_forbidden_plates", tool.get_expire())

    def list_all(self):
@@ -255,6 +263,11 @@

    def list_all_cache(self):
        return self.__kpl_forbidden_plates_cache

    def is_in_cache(self, plate):
        if self.__kpl_forbidden_plates_cache and plate in self.__kpl_forbidden_plates_cache:
            return True
        return False


class LimitUpCodesPlateKeyManager:
@@ -364,12 +377,10 @@
        score = 60
        if cls.__market_strong is not None:
            score = int(cls.__market_strong)
        score = score // 10
        if score >= 10:
            score = 9
        if score < 6:
            score = 5
        return score * 2 - 2
        for info in constant.RADICAL_BUY_TOP_IN_COUNT_BY_MARKET_STRONG:
            if info[0] <= score < info[1]:
                return info[2]
        return 10

    @classmethod
    def set_market_jingxuan_blocks(cls, datas):
@@ -379,12 +390,13 @@
        @return:
        """
        # 流入阈值
        THRESHOLD_MONEY = 100 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
        THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
        THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
        THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
        # THRESHOLD_MONEY = 50 * (tool.trade_time_sub(tool.get_now_time_str(), "09:30:00") // 60) + 1000
        # THRESHOLD_MONEY = min(THRESHOLD_MONEY, 10000)
        # THRESHOLD_MONEY = max(THRESHOLD_MONEY, 1000)
        # THRESHOLD_MONEY = THRESHOLD_MONEY * 10000
        THRESHOLD_MONEY = 0
        # 最大数量
        MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()
        # MAX_COUNT = cls.get_jingxuan_in_block_threshold_count()

        cls.top_in_list_cache = datas
        blocks = set()
@@ -413,11 +425,15 @@
                    break
            if has_code:
                count += 1

            if count >= MAX_COUNT:
                break
                if count == 10:
                    strong = cls.get_market_strong()
                    if strong is None:
                        strong = 60
                    THRESHOLD_MONEY = int((1 - strong / 200) * data[3])
            # if count >= MAX_COUNT:
            #     break
        # 记录精选流出日志
        async_log_util.info(logger_kpl_jx_in, f"原数据：{datas[:20]} 板块：{blocks}")
        async_log_util.info(logger_kpl_jx_in, f"原数据：{datas[:50]} 板块：{blocks}")
        blocks = list(blocks)
        blocks.sort(key=lambda x: fblock_money.get(x), reverse=True)
        cls.__top_jx_blocks = blocks
@@ -473,6 +489,18 @@
        return cls.__top_jx_out_blocks

    @classmethod
    def get_block_info_at_block_in(cls, b):
        """
        获取板块的净流入情况
        @param b:
        @return: (板块名称,身位,流入金额)
        """
        for i in range(0, len(cls.top_in_list_cache)):
            if cls.top_in_list_cache[i][1] == b:
                return b, i, cls.top_in_list_cache[i][3]
        return b, -1, 0

    @classmethod
    def set_top_5_industry(cls, datas):
        for d in datas:
            cls.total_industry_dict[d[1]] = d