admin
2025-03-21 6ce0abb3c8c43b6ca1bb54537f8937b4a5155ad3
bug修改
1个文件已修改
14 ■■■■■ 已修改文件
strategy/kpl_api.py 14 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
strategy/kpl_api.py
@@ -230,17 +230,19 @@
        # 尝试过滤掉无意义的概念板块(plate_name not in ['科创板', '北交所', '次新股', '无', 'ST板块', 'ST摘帽', '并购重组', '国企改革','超跌', '壳资源', '股权转让', '送转填权']) and '增长' in plate_name
        if (plate_name not in ['科创板', '北交所', '次新股', '无', 'ST板块', 'ST摘帽', '并购重组', '国企改革', '超跌',
                               '壳资源', '股权转让', '送转填权']) or ('增长' in plate_name):
            # print(f"{i[1]} 强度:{i[2]}")
            # 通过板块ID获取其下面的个股强度列表
            # print(f"======={i[0]}=======")
            its_stock = json.loads(getCodesByPlate(i[0]))
            # 只在盘中时间获取
            now_time = tool.get_now_time_str()
            if data_cache.L1_DATA_START_TIME < now_time < data_cache.CLOSING_TIME:
                async_log_util.info(logger_stock_of_markets_plate, f"{its_stock['list']}")
                logger.info(f"its_stock['list']  ===》》  {its_stock['list']}")
                log_data = {plate_name: its_stock['list']}
                async_log_util.info(logger_stock_of_markets_plate, f"{log_data}")
                # logger.info(f"its_stock['list']  ===》》  {log_data}")
                # logger.info(f"its_stock['list'][0]  ===  {its_stock['list'][0]}")
            # its_stock_list_info = its_stock['list']
@@ -296,9 +298,9 @@
            ds.append(request_plate_codes(d))
        dask_result = batch_get_plate_codes(ds)
        dask_result.compute()
    #     now_time = tool.get_now_time_str()
    #     if data_cache.L1_DATA_START_TIME < now_time < data_cache.CLOSING_TIME:
    #         logger.info(f"精选板块股票强度数据更新 == {market_sift_plate_stock_dict}")
        now_time = tool.get_now_time_str()
        if data_cache.L1_DATA_START_TIME < now_time < data_cache.CLOSING_TIME:
            logger.info(f"精选板块股票强度数据更新 == {market_sift_plate_stock_dict}")
    return market_sift_plate_stock_dict