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2025-05-20
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south-forecast.2025-05-20.0.log

south-forecast.2025-05-20.0.log 64 KB
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  1. 2025-05-20 08:46:22,979 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  2.  - _tfmw_add_deprecation_warning
    3. 

  3. 2025-05-20 08:47:43,150 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  5. 2025-05-20 08:50:31,419 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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    7. 

  7. 2025-05-20 08:51:17,995 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  8.  - _tfmw_add_deprecation_warning
    9. 

  9. 2025-05-20 08:53:38,142 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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    11. 

  11. 2025-05-20 08:54:53,222 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  13. 2025-05-20 08:55:34,370 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  15. 2025-05-20 09:08:05,293 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  17. 2025-05-20 09:11:17,002 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  19. 2025-05-20 09:13:22,400 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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    21. 

  21. 2025-05-20 09:14:23,050 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  23. 2025-05-20 09:15:34,607 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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    25. 

  25. 2025-05-20 09:20:26,339 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  27. 2025-05-20 09:22:23,198 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  29. 2025-05-20 09:24:15,858 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  31. 2025-05-20 09:26:14,099 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  33. 2025-05-20 09:37:00,765 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  35. 2025-05-20 09:47:30,600 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  37. 2025-05-20 09:48:51,011 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  39. 2025-05-20 09:52:46,611 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  41. 2025-05-20 10:45:07,182 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  43. 2025-05-20 10:46:25,449 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  45. 2025-05-20 12:54:51,137 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  47. 2025-05-20 12:54:51,395 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    48. 

  48. 2025-05-20 12:55:04,053 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  50. 2025-05-20 12:55:04,168 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    51. 

  51. 2025-05-20 12:55:06,729 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  53. 2025-05-20 12:55:09,595 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  55. 2025-05-20 12:55:09,598 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  57. 2025-05-20 13:00:05,647 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  59. 2025-05-20 13:00:41,414 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
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  60. 2025-05-20 13:01:07,014 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  62. 2025-05-20 13:02:42,712 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  64. 2025-05-20 13:02:50,218 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  66. 2025-05-20 13:03:55,563 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  68. 2025-05-20 13:03:55,677 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    69. 

  69. 2025-05-20 13:03:58,267 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  71. 2025-05-20 13:04:01,133 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  73. 2025-05-20 13:04:01,135 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  75. 2025-05-20 13:04:24,600 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  77. 2025-05-20 13:04:24,712 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    78. 

  78. 2025-05-20 13:04:27,238 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  80. 2025-05-20 13:04:30,083 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  82. 2025-05-20 13:04:30,086 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  84. 2025-05-20 13:05:35,802 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  86. 2025-05-20 13:05:35,916 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    87. 

  87. 2025-05-20 13:05:38,422 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  89. 2025-05-20 13:05:41,251 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  91. 2025-05-20 13:05:41,251 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  93. 2025-05-20 13:15:47,978 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  95. 2025-05-20 13:15:48,096 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    96. 

  96. 2025-05-20 13:15:50,703 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  98. 2025-05-20 13:15:53,526 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
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  100. 2025-05-20 13:15:53,639 - task_worker.py - ERROR - Station {'config_yaml': 'config.yml', 'neu_yaml': 'neu.yml', 'input_file': 'E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN', 'model_name': 'lstm', 'docs_mapping': {'basi': 'DQYC_IN_BASIC', 'station_info_w': 'DQYC_IN_PLANT_WIND', 'station_info_d_w': 'DQYC_IN_PLANT_DETAIL_WIND', 'station_info_s': 'DQYC_IN_PLANT_SOLAR', 'station_info_d_s': 'DQYC_IN_PLANT_DETAIL_SOLAR', 'nwp_w': 'DQYC_IN_FORECAST_WEATHER_WIND', 'nwp_s': 'DQYC_IN_FORECAST_WEATHER_SOLAR', 'nwp_w_h': 'DQYC_IN_FORECAST_WEATHER_WIND_H', 'nwp_s_h': 'DQYC_IN_FORECAST_WEATHER_SOLAR_H', 'power': 'DQYC_IN_HISTORY_POWER_LONG', 'nwp_v': 'DQYC_IN_FORECAST_WEATHER', 'nwp_v_h': 'DQYC_IN_FORECAST_WEATHER_H', 'nwp_own': 'DQYC_IN_FORECAST_WEATHER_OWNER', 'nwp_own_h': 'DQYC_IN_FORECAST_WEATHER_OWNER_H', 'env_wf': 'DQYC_IN_ACTUAL_WEATHER_WIND', 'env_sf': "DQYC_IN_ACTUAL_WEATHER_SOLAR'"}, 'switch_nwp_owner': False, 'system': {'max_workers': 10, 'gpu_devices': []}, 'Model': {'add_train': True, 'batch_size': 64, 'dropout_rate': 0.2, 'epoch': 100, 'fusion': True, 'hidden_size': 64, 'his_points': 16, 'how_long_fill': 10, 'input_size': 24, 'lambda_value_1': 0.02, 'lambda_value_2': 0.01, 'learning_rate': 0.001, 'lstm_layers': 1, 'output_size': 16, 'patience': 10, 'predict_data_fill': True, 'shuffle_train_data': False, 'test_data_fill': False, 'time_step': 16, 'train_data_fill': True, 'use_cuda': False, 'valid_data_rate': 0.15}, 'authentication': {'date': '2025-01-08', 'full_cap': '2024-04-30', 'repair': '2025-01-08'}, 'calculate': [], 'cap': 50.0, 'col_time': 'Datetime', 'dataloc': './data', 'full_field': True, 'history_hours': 1, 'new_field': True, 'features': ['Perssure', 'SeaPerssure', 'PrecipitationHour', 'GroundTemp', 'Temp2', 'Humidity2', 'InstantSpeed10', 'InstantDirection10', 'PrecipitationDay', 'Groundradiation', 'Speed10', 'Direction10', 'Speed30', 'Direction30', 'Speed50', 'Direction50', 'Speed70', 'Direction70', 'Speed90', 'Direction90', 'Speed100', 'Direction100', 'HubSpeed', 'HubDireciton'], 'features_owner': ['Perssure', 'SeaPerssure', 'PrecipitationHour'], 'target': 'Power', 'repair_days': 81, 'repair_model_cycle': 5, 'update_add_train_days': 60, 'update_coe_days': 3, 'usable_power_s': {'api_able_power': True, 'bias': 2.524, 'coe': 4, 'down_fractile': 30, 'env': 'Irradiance', 'k': 0.04079, 'outliers_threshold': 1.5, 'up_fractile': 70}, 'usable_power_w': {'api_able_power': True, 'degree': 4, 'down_fractile': 0, 'down_offset': 3, 'env': 'HubSpeed', 'outliers_threshold': 1.5, 'step': 0.5, 'up_fractile': 100, 'up_offset': 2}, 'version': 'solar-0.0.1.south', 'mongodb_database': 'south_compete', 'scaler_table': 'scaler', 'model_table': 'model', 'region': 'south', 'clean_power': True, 'gpu_assignment': 2} failed: name 'args' is not defined - station_task
    101. 

  101. 2025-05-20 13:15:53,639 - task_worker.py - ERROR - Station {'config_yaml': 'config.yml', 'neu_yaml': 'neu.yml', 'input_file': 'E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN', 'model_name': 'lstm', 'docs_mapping': {'basi': 'DQYC_IN_BASIC', 'station_info_w': 'DQYC_IN_PLANT_WIND', 'station_info_d_w': 'DQYC_IN_PLANT_DETAIL_WIND', 'station_info_s': 'DQYC_IN_PLANT_SOLAR', 'station_info_d_s': 'DQYC_IN_PLANT_DETAIL_SOLAR', 'nwp_w': 'DQYC_IN_FORECAST_WEATHER_WIND', 'nwp_s': 'DQYC_IN_FORECAST_WEATHER_SOLAR', 'nwp_w_h': 'DQYC_IN_FORECAST_WEATHER_WIND_H', 'nwp_s_h': 'DQYC_IN_FORECAST_WEATHER_SOLAR_H', 'power': 'DQYC_IN_HISTORY_POWER_LONG', 'nwp_v': 'DQYC_IN_FORECAST_WEATHER', 'nwp_v_h': 'DQYC_IN_FORECAST_WEATHER_H', 'nwp_own': 'DQYC_IN_FORECAST_WEATHER_OWNER', 'nwp_own_h': 'DQYC_IN_FORECAST_WEATHER_OWNER_H', 'env_wf': 'DQYC_IN_ACTUAL_WEATHER_WIND', 'env_sf': "DQYC_IN_ACTUAL_WEATHER_SOLAR'"}, 'switch_nwp_owner': False, 'system': {'max_workers': 10, 'gpu_devices': []}, 'Model': {'add_train': True, 'batch_size': 64, 'dropout_rate': 0.2, 'epoch': 100, 'fusion': True, 'hidden_size': 64, 'his_points': 16, 'how_long_fill': 10, 'input_size': 24, 'lambda_value_1': 0.02, 'lambda_value_2': 0.01, 'learning_rate': 0.001, 'lstm_layers': 1, 'output_size': 16, 'patience': 10, 'predict_data_fill': True, 'shuffle_train_data': False, 'test_data_fill': False, 'time_step': 16, 'train_data_fill': True, 'use_cuda': False, 'valid_data_rate': 0.15}, 'authentication': {'date': '2025-01-08', 'full_cap': '2024-04-30', 'repair': '2025-01-08'}, 'calculate': [], 'cap': 50.0, 'col_time': 'Datetime', 'dataloc': './data', 'full_field': True, 'history_hours': 1, 'new_field': True, 'features': ['Perssure', 'SeaPerssure', 'PrecipitationHour', 'GroundTemp', 'Temp2', 'Humidity2', 'InstantSpeed10', 'InstantDirection10', 'PrecipitationDay', 'Groundradiation', 'Speed10', 'Direction10', 'Speed30', 'Direction30', 'Speed50', 'Direction50', 'Speed70', 'Direction70', 'Speed90', 'Direction90', 'Speed100', 'Direction100', 'HubSpeed', 'HubDireciton'], 'features_owner': ['Perssure', 'SeaPerssure', 'PrecipitationHour'], 'target': 'Power', 'repair_days': 81, 'repair_model_cycle': 5, 'update_add_train_days': 60, 'update_coe_days': 3, 'usable_power_s': {'api_able_power': True, 'bias': 2.524, 'coe': 4, 'down_fractile': 30, 'env': 'Irradiance', 'k': 0.04079, 'outliers_threshold': 1.5, 'up_fractile': 70}, 'usable_power_w': {'api_able_power': True, 'degree': 4, 'down_fractile': 0, 'down_offset': 3, 'env': 'HubSpeed', 'outliers_threshold': 1.5, 'step': 0.5, 'up_fractile': 100, 'up_offset': 2}, 'version': 'solar-0.0.1.south', 'mongodb_database': 'south_compete', 'scaler_table': 'scaler', 'model_table': 'model', 'region': 'south', 'clean_power': True, 'gpu_assignment': 1} failed: name 'args' is not defined - station_task
    102. 

  102. 2025-05-20 13:19:49,703 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    103. 

  103.  - _tfmw_add_deprecation_warning
    104. 

  104. 2025-05-20 13:20:08,641 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    105. 

  105. 2025-05-20 13:20:40,722 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    106. 

  106.  - _tfmw_add_deprecation_warning
    107. 

  107. 2025-05-20 13:21:20,558 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    108. 

  108.  - _tfmw_add_deprecation_warning
    109. 

  109. 2025-05-20 13:21:20,560 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    110. 

  110.  - _tfmw_add_deprecation_warning
    111. 

  111. 2025-05-20 13:35:01,579 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    112. 

  112.  - _tfmw_add_deprecation_warning
    113. 

  113. 2025-05-20 13:35:01,697 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    114. 

  114. 2025-05-20 13:35:04,298 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    115. 

  115.  - _tfmw_add_deprecation_warning
    116. 

  116. 2025-05-20 13:35:07,211 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    117. 

  117.  - _tfmw_add_deprecation_warning
    118. 

  118. 2025-05-20 13:35:07,213 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    119. 

  119.  - _tfmw_add_deprecation_warning
    120. 

  120. 2025-05-20 13:35:07,339 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'data_template' - station_task
    121. 

  121. 2025-05-20 13:35:07,339 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'data_template' - station_task
    122. 

  122. 2025-05-20 13:41:46,680 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    123. 

  123.  - _tfmw_add_deprecation_warning
    124. 

  124. 2025-05-20 13:41:46,809 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    125. 

  125. 2025-05-20 13:41:49,326 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    126. 

  126.  - _tfmw_add_deprecation_warning
    127. 

  127. 2025-05-20 13:41:52,236 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    128. 

  128.  - _tfmw_add_deprecation_warning
    129. 

  129. 2025-05-20 13:41:52,239 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    130. 

  130.  - _tfmw_add_deprecation_warning
    131. 

  131. 2025-05-20 13:41:52,361 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    132. 

  132. 2025-05-20 13:41:52,361 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    133. 

  133. 2025-05-20 13:44:01,933 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    134. 

  134.  - _tfmw_add_deprecation_warning
    135. 

  135. 2025-05-20 13:44:02,046 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    136. 

  136. 2025-05-20 13:44:04,595 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    137. 

  137.  - _tfmw_add_deprecation_warning
    138. 

  138. 2025-05-20 13:44:07,451 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    139. 

  139.  - _tfmw_add_deprecation_warning
    140. 

  140. 2025-05-20 13:44:07,452 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    141. 

  141.  - _tfmw_add_deprecation_warning
    142. 

  142. 2025-05-20 13:44:07,567 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    143. 

  143. 2025-05-20 13:44:07,568 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    144. 

  144. 2025-05-20 13:45:07,403 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    145. 

  145.  - _tfmw_add_deprecation_warning
    146. 

  146. 2025-05-20 13:45:07,514 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    147. 

  147. 2025-05-20 13:45:10,046 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    148. 

  148.  - _tfmw_add_deprecation_warning
    149. 

  149. 2025-05-20 13:45:12,895 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    150. 

  150.  - _tfmw_add_deprecation_warning
    151. 

  151. 2025-05-20 13:45:12,898 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    152. 

  152.  - _tfmw_add_deprecation_warning
    153. 

  153. 2025-05-20 13:45:13,011 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    154. 

  154. 2025-05-20 13:45:13,013 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    155. 

  155. 2025-05-20 13:47:51,900 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    156. 

  156.  - _tfmw_add_deprecation_warning
    157. 

  157. 2025-05-20 13:47:52,014 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    158. 

  158. 2025-05-20 13:47:54,645 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    159. 

  159.  - _tfmw_add_deprecation_warning
    160. 

  160. 2025-05-20 13:47:57,532 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    161. 

  161.  - _tfmw_add_deprecation_warning
    162. 

  162. 2025-05-20 13:47:57,534 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    163. 

  163.  - _tfmw_add_deprecation_warning
    164. 

  164. 2025-05-20 13:47:57,651 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    165. 

  165. 2025-05-20 13:47:57,652 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    166. 

  166. 2025-05-20 14:03:02,374 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    167. 

  167.  - _tfmw_add_deprecation_warning
    168. 

  168. 2025-05-20 14:03:02,496 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    169. 

  169. 2025-05-20 14:03:05,117 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    170. 

  170.  - _tfmw_add_deprecation_warning
    171. 

  171. 2025-05-20 14:03:08,087 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    172. 

  172.  - _tfmw_add_deprecation_warning
    173. 

  173. 2025-05-20 14:03:08,093 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    174. 

  174.  - _tfmw_add_deprecation_warning
    175. 

  175. 2025-05-20 14:03:08,226 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    176. 

  176. 2025-05-20 14:03:08,226 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    177. 

  177. 2025-05-20 14:14:20,136 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    178. 

  178.  - _tfmw_add_deprecation_warning
    179. 

  179. 2025-05-20 14:14:20,250 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    180. 

  180. 2025-05-20 14:14:22,859 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    181. 

  181.  - _tfmw_add_deprecation_warning
    182. 

  182. 2025-05-20 14:14:25,740 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    183. 

  183.  - _tfmw_add_deprecation_warning
    184. 

  184. 2025-05-20 14:14:25,744 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    185. 

  185.  - _tfmw_add_deprecation_warning
    186. 

  186. 2025-05-20 14:14:25,896 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    187. 

  187. 2025-05-20 14:14:25,896 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    188. 

  188. 2025-05-20 14:15:08,041 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    189. 

  189.  - _tfmw_add_deprecation_warning
    190. 

  190. 2025-05-20 14:15:08,156 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    191. 

  191. 2025-05-20 14:15:10,706 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    192. 

  192.  - _tfmw_add_deprecation_warning
    193. 

  193. 2025-05-20 14:15:13,586 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    194. 

  194.  - _tfmw_add_deprecation_warning
    195. 

  195. 2025-05-20 14:15:13,588 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    196. 

  196.  - _tfmw_add_deprecation_warning
    197. 

  197. 2025-05-20 14:15:13,831 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    198. 

  198. 2025-05-20 14:15:13,831 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'NoneType' object has no attribute 'nwp_v_h' - station_task
    199. 

  199. 2025-05-20 14:18:38,267 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    200. 

  200.  - _tfmw_add_deprecation_warning
    201. 

  201. 2025-05-20 14:18:38,382 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    202. 

  202. 2025-05-20 14:18:40,948 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    203. 

  203.  - _tfmw_add_deprecation_warning
    204. 

  204. 2025-05-20 14:18:43,800 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    205. 

  205.  - _tfmw_add_deprecation_warning
    206. 

  206. 2025-05-20 14:18:43,802 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    207. 

  207.  - _tfmw_add_deprecation_warning
    208. 

  208. 2025-05-20 14:18:44,025 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'dict' object has no attribute 'nwp_v_h' - station_task
    209. 

  209. 2025-05-20 14:18:44,026 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'dict' object has no attribute 'nwp_v_h' - station_task
    210. 

  210. 2025-05-20 14:20:53,780 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    211. 

  211.  - _tfmw_add_deprecation_warning
    212. 

  212. 2025-05-20 14:20:53,893 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    213. 

  213. 2025-05-20 14:20:56,424 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    214. 

  214.  - _tfmw_add_deprecation_warning
    215. 

  215. 2025-05-20 14:20:59,301 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    216. 

  216.  - _tfmw_add_deprecation_warning
    217. 

  217. 2025-05-20 14:20:59,302 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    218. 

  218.  - _tfmw_add_deprecation_warning
    219. 

  219. 2025-05-20 14:20:59,512 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'capacities' - station_task
    220. 

  220. 2025-05-20 14:25:38,880 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    221. 

  221.  - _tfmw_add_deprecation_warning
    222. 

  222. 2025-05-20 14:25:38,992 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    223. 

  223. 2025-05-20 14:25:41,516 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    224. 

  224.  - _tfmw_add_deprecation_warning
    225. 

  225. 2025-05-20 14:25:44,383 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    226. 

  226.  - _tfmw_add_deprecation_warning
    227. 

  227. 2025-05-20 14:25:44,385 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    228. 

  228.  - _tfmw_add_deprecation_warning
    229. 

  229. 2025-05-20 14:25:44,594 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: 'ModelTrainer' object has no attribute 'logger' - station_task
    230. 

  230. 2025-05-20 14:25:44,594 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: 'ModelTrainer' object has no attribute 'logger' - station_task
    231. 

  231. 2025-05-20 14:26:31,069 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    232. 

  232.  - _tfmw_add_deprecation_warning
    233. 

  233. 2025-05-20 14:26:31,184 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    234. 

  234. 2025-05-20 14:26:33,737 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    235. 

  235.  - _tfmw_add_deprecation_warning
    236. 

  236. 2025-05-20 14:26:36,603 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    237. 

  237.  - _tfmw_add_deprecation_warning
    238. 

  238. 2025-05-20 14:26:36,607 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    239. 

  239.  - _tfmw_add_deprecation_warning
    240. 

  240. 2025-05-20 14:26:36,828 - tf_model_train.py - INFO - GPU 2 allocated - _setup_resources
    241. 

  241. 2025-05-20 14:26:36,828 - tf_model_train.py - INFO - GPU 1 allocated - _setup_resources
    242. 

  242. 2025-05-20 14:26:36,846 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: list index out of range - station_task
    243. 

  243. 2025-05-20 14:26:36,846 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: list index out of range - station_task
    244. 

  244. 2025-05-20 14:30:21,709 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    245. 

  245.  - _tfmw_add_deprecation_warning
    246. 

  246. 2025-05-20 14:30:21,824 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    247. 

  247. 2025-05-20 14:30:24,356 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    248. 

  248.  - _tfmw_add_deprecation_warning
    249. 

  249. 2025-05-20 14:30:27,240 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    250. 

  250.  - _tfmw_add_deprecation_warning
    251. 

  251. 2025-05-20 14:30:27,245 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    252. 

  252.  - _tfmw_add_deprecation_warning
    253. 

  253. 2025-05-20 14:30:27,453 - tf_model_train.py - INFO - GPU 2 allocated - _setup_resources
    254. 

  254. 2025-05-20 14:30:27,459 - tf_model_train.py - INFO - GPU 1 allocated - _setup_resources
    255. 

  255. 2025-05-20 14:30:27,471 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\1086 failed: list index out of range - station_task
    256. 

  256. 2025-05-20 14:30:27,476 - task_worker.py - ERROR - Station E:\compete\app\model\data\DQYC\qy\62\1002\2025-04-21\IN\2361 failed: list index out of range - station_task
    257. 

  257. 2025-05-20 14:39:34,488 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    258. 

  258.  - _tfmw_add_deprecation_warning
    259. 

  259. 2025-05-20 14:39:34,614 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    260. 

  260. 2025-05-20 14:39:37,274 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    261. 

  261.  - _tfmw_add_deprecation_warning
    262. 

  262. 2025-05-20 14:39:40,302 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    263. 

  263.  - _tfmw_add_deprecation_warning
    264. 

  264. 2025-05-20 14:39:40,303 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    265. 

  265.  - _tfmw_add_deprecation_warning
    266. 

  266. 2025-05-20 14:39:40,511 - tf_model_train.py - INFO - GPU 1 allocated - _setup_resources
    267. 

  267. 2025-05-20 14:39:40,512 - tf_model_train.py - INFO - GPU 2 allocated - _setup_resources
    268. 

  268. 2025-05-20 14:39:40,551 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    269. 

  269. 2025-05-20 14:39:40,552 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    270. 

  270. 2025-05-20 14:39:40,559 - data_cleaning.py - INFO - 行清洗：清洗的行数有：68，缺失的列有： - key_field_row_cleaning
    271. 

  271. 2025-05-20 14:39:40,560 - data_cleaning.py - INFO - 行清洗：清洗的行数有：69，缺失的列有： - key_field_row_cleaning
    272. 

  272. 2025-05-20 14:39:40,597 - data_handler.py - INFO - 数据总数：2907, 时序缺失的间隔：0, 其中，较长的时间间隔：0 - missing_time_splite
    273. 

  273. 2025-05-20 14:39:40,597 - data_handler.py - INFO - 需要补值的总点数：0 - missing_time_splite
    274. 

  274. 2025-05-20 14:39:40,598 - data_handler.py - INFO - 再次测算，需要插值的总点数为：0.0 - fill_train_data
    275. 

  275. 2025-05-20 14:39:40,598 - data_handler.py - INFO - 数据总数：2908, 时序缺失的间隔：0, 其中，较长的时间间隔：0 - missing_time_splite
    276. 

  276. 2025-05-20 14:39:40,598 - data_handler.py - INFO - 需要补值的总点数：0 - missing_time_splite
    277. 

  277. 2025-05-20 14:39:40,599 - data_handler.py - INFO - 再次测算，需要插值的总点数为：0.0 - fill_train_data
    278. 

  278. 2025-05-20 14:39:41,579 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
    279. 

  279. 2025-05-20 14:39:41,579 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
    280. 

  280. 2025-05-20 14:39:41,592 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
    281. 

  281. 2025-05-20 14:39:41,592 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
    282. 

  282. 2025-05-20 14:39:54,426 - tf_lstm.py - INFO - -----模型训练经过100轮迭代----- - training
    283. 

  283. 2025-05-20 14:39:54,426 - tf_lstm.py - INFO - -----模型训练经过100轮迭代----- - training
    284. 

  284. 2025-05-20 14:39:54,426 - tf_lstm.py - INFO - 训练集损失函数为：[9.0531e-01 3.1888e-01 9.9910e-02 2.8170e-02 7.5200e-03 2.3400e-03
    285. 

  285.  1.1900e-03 9.6000e-04 9.2000e-04 9.1000e-04 9.0000e-04 9.0000e-04
    286. 

  286.  8.9000e-04 8.9000e-04 8.9000e-04 8.9000e-04 8.8000e-04 8.8000e-04
    287. 

  287.  8.8000e-04 8.8000e-04 8.8000e-04 8.7000e-04 8.7000e-04 8.7000e-04
    288. 

  288.  8.7000e-04 8.7000e-04 8.7000e-04 8.7000e-04 8.7000e-04 8.6000e-04
    289. 

  289.  8.6000e-04 8.6000e-04 8.6000e-04 8.6000e-04 8.6000e-04 8.6000e-04
    290. 

  290.  8.6000e-04 8.6000e-04 8.6000e-04 8.6000e-04 8.5000e-04 8.5000e-04
    291. 

  291.  8.5000e-04 8.5000e-04 8.5000e-04 8.5000e-04 8.5000e-04 8.5000e-04
    292. 

  292.  8.5000e-04 8.5000e-04 8.5000e-04 8.5000e-04 8.5000e-04 8.5000e-04
    293. 

  293.  8.5000e-04 8.5000e-04 8.5000e-04 8.4000e-04 8.4000e-04 8.4000e-04
    294. 

  294.  8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04
    295. 

  295.  8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04
    296. 

  296.  8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04
    297. 

  297.  8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04
    298. 

  298.  8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04 8.4000e-04
    299. 

  299.  8.3000e-04 8.3000e-04 8.3000e-04 8.3000e-04 8.3000e-04 8.3000e-04
    300. 

  300.  8.3000e-04 8.3000e-04 8.3000e-04 8.3000e-04] - training
    301. 

  301. 2025-05-20 14:39:54,426 - tf_lstm.py - INFO - 训练集损失函数为：[8.9877e-01 3.1553e-01 9.8310e-02 2.7340e-02 7.0000e-03 1.9300e-03
    302. 

  302.  8.1000e-04 5.9000e-04 5.5000e-04 5.4000e-04 5.4000e-04 5.4000e-04
    303. 

  303.  5.4000e-04 5.4000e-04 5.4000e-04 5.4000e-04 5.3000e-04 5.3000e-04
    304. 

  304.  5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    305. 

  305.  5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    306. 

  306.  5.3000e-04 5.3000e-04 5.3000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    307. 

  307.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    308. 

  308.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    309. 

  309.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    310. 

  310.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    311. 

  311.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    312. 

  312.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    313. 

  313.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    314. 

  314.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    315. 

  315.  5.2000e-04 5.2000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04
    316. 

  316.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04
    317. 

  317.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04] - training
    318. 

  318. 2025-05-20 14:39:54,426 - tf_lstm.py - INFO - 验证集损失函数为：[0.51434 0.16851 0.04969 0.01363 0.00409 0.00189 0.00142 0.00133 0.00131
    319. 

  319.  0.0013  0.00129 0.00128 0.00128 0.00127 0.00127 0.00126 0.00126 0.00126
    320. 

  320.  0.00125 0.00125 0.00125 0.00124 0.00124 0.00124 0.00124 0.00123 0.00123
    321. 

  321.  0.00123 0.00123 0.00123 0.00122 0.00122 0.00122 0.00122 0.00122 0.00122
    322. 

  322.  0.00122 0.00121 0.00121 0.00121 0.00121 0.00121 0.00121 0.00121 0.00121
    323. 

  323.  0.00121 0.0012  0.0012  0.0012  0.0012  0.0012  0.0012  0.0012  0.0012
    324. 

  324.  0.0012  0.0012  0.0012  0.00119 0.00119 0.00119 0.00119 0.00119 0.00119
    325. 

  325.  0.00119 0.00119 0.00119 0.00119 0.00119 0.00119 0.00119 0.00119 0.00119
    326. 

  326.  0.00119 0.00119 0.00119 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118
    327. 

  327.  0.00118 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118
    328. 

  328.  0.00118 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118 0.00118
    329. 

  329.  0.00118] - training
    330. 

  330. 2025-05-20 14:39:54,426 - tf_lstm.py - INFO - 验证集损失函数为：[0.50973 0.16624 0.04849 0.01296 0.0036  0.00145 0.00101 0.00092 0.0009
    331. 

  331.  0.00089 0.00089 0.00089 0.00088 0.00088 0.00088 0.00087 0.00087 0.00087
    332. 

  332.  0.00087 0.00086 0.00086 0.00086 0.00086 0.00086 0.00086 0.00085 0.00085
    333. 

  333.  0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00084 0.00084
    334. 

  334.  0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084
    335. 

  335.  0.00084 0.00084 0.00084 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083
    336. 

  336.  0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083
    337. 

  337.  0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00082
    338. 

  338.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    339. 

  339.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    340. 

  340.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    341. 

  341.  0.00082] - training
    342. 

  342. 2025-05-20 14:39:54,427 - tf_model_train.py - ERROR - Training failed: 'ModelTrainer' object has no attribute 'opt'
    343. 

  343. Traceback (most recent call last):
    344. 

  344.   File "E:\compete\app\model\tf_model_train.py", line 87, in train
    345. 

  345.     self.opt.Model['features'] = ','.join(self.dh.opt.features)
    346. 

  346.     ^^^^^^^^
    347. 

  347. AttributeError: 'ModelTrainer' object has no attribute 'opt'
    348. 

  348.  - _handle_error
    349. 

  349. 2025-05-20 14:39:54,432 - tf_model_train.py - ERROR - Training failed: 'ModelTrainer' object has no attribute 'opt'
    350. 

  350. Traceback (most recent call last):
    351. 

  351.   File "E:\compete\app\model\tf_model_train.py", line 87, in train
    352. 

  352.     self.opt.Model['features'] = ','.join(self.dh.opt.features)
    353. 

  353.     ^^^^^^^^
    354. 

  354. AttributeError: 'ModelTrainer' object has no attribute 'opt'
    355. 

  355.  - _handle_error
    356. 

  356. 2025-05-20 15:26:00,753 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    357. 

  357.  - _tfmw_add_deprecation_warning
    358. 

  358. 2025-05-20 15:26:00,873 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    359. 

  359. 2025-05-20 15:26:03,466 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    360. 

  360.  - _tfmw_add_deprecation_warning
    361. 

  361. 2025-05-20 15:26:06,401 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    362. 

  362.  - _tfmw_add_deprecation_warning
    363. 

  363. 2025-05-20 15:26:06,411 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    364. 

  364.  - _tfmw_add_deprecation_warning
    365. 

  365. 2025-05-20 15:26:06,623 - tf_model_train.py - INFO - GPU 2 allocated - _setup_resources
    366. 

  366. 2025-05-20 15:26:06,629 - tf_model_train.py - INFO - GPU 1 allocated - _setup_resources
    367. 

  367. 2025-05-20 15:26:06,642 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    368. 

  368. 2025-05-20 15:26:06,647 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    369. 

  369. 2025-05-20 15:26:06,650 - data_cleaning.py - INFO - 行清洗：清洗的行数有：69，缺失的列有： - key_field_row_cleaning
    370. 

  370. 2025-05-20 15:26:06,656 - data_cleaning.py - INFO - 行清洗：清洗的行数有：68，缺失的列有： - key_field_row_cleaning
    371. 

  371. 2025-05-20 15:26:06,682 - data_handler.py - INFO - 数据总数：2907, 时序缺失的间隔：0, 其中，较长的时间间隔：0 - missing_time_splite
    372. 

  372. 2025-05-20 15:26:06,682 - data_handler.py - INFO - 需要补值的总点数：0 - missing_time_splite
    373. 

  373. 2025-05-20 15:26:06,683 - data_handler.py - INFO - 再次测算，需要插值的总点数为：0.0 - fill_train_data
    374. 

  374. 2025-05-20 15:26:06,687 - data_handler.py - INFO - 数据总数：2908, 时序缺失的间隔：0, 其中，较长的时间间隔：0 - missing_time_splite
    375. 

  375. 2025-05-20 15:26:06,687 - data_handler.py - INFO - 需要补值的总点数：0 - missing_time_splite
    376. 

  376. 2025-05-20 15:26:06,688 - data_handler.py - INFO - 再次测算，需要插值的总点数为：0.0 - fill_train_data
    377. 

  377. 2025-05-20 15:26:07,624 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
    378. 

  378. 2025-05-20 15:26:07,624 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
    379. 

  379. 2025-05-20 15:26:07,633 - dbmg.py - INFO - ❌ 系统异常: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - get_keras_model_from_mongo
    380. 

  380. 2025-05-20 15:26:07,633 - tf_lstm.py - INFO - 加强训练加载模型权重失败:("Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}",) - train_init
    381. 

  381. 2025-05-20 15:26:20,550 - tf_lstm.py - INFO - -----模型训练经过100轮迭代----- - training
    382. 

  382. 2025-05-20 15:26:20,550 - tf_lstm.py - INFO - -----模型训练经过100轮迭代----- - training
    383. 

  383. 2025-05-20 15:26:20,551 - tf_lstm.py - INFO - 训练集损失函数为：[9.0203e-01 3.1670e-01 9.8690e-02 2.7480e-02 7.0600e-03 1.9500e-03
    384. 

  384.  8.2000e-04 5.9000e-04 5.5000e-04 5.4000e-04 5.4000e-04 5.4000e-04
    385. 

  385.  5.4000e-04 5.4000e-04 5.4000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    386. 

  386.  5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    387. 

  387.  5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    388. 

  388.  5.3000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    389. 

  389.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    390. 

  390.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    391. 

  391.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    392. 

  392.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    393. 

  393.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    394. 

  394.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    395. 

  395.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    396. 

  396.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.1000e-04 5.1000e-04
    397. 

  397.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04
    398. 

  398.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04
    399. 

  399.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04] - training
    400. 

  400. 2025-05-20 15:26:20,551 - tf_lstm.py - INFO - 训练集损失函数为：[9.0353e-01 3.1775e-01 9.8940e-02 2.7240e-02 6.6300e-03 1.4600e-03
    401. 

  401.  3.3000e-04 1.0000e-04 6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05
    402. 

  402.  6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05
    403. 

  403.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    404. 

  404.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    405. 

  405.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    406. 

  406.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    407. 

  407.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    408. 

  408.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    409. 

  409.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    410. 

  410.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    411. 

  411.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    412. 

  412.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    413. 

  413.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    414. 

  414.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    415. 

  415.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    416. 

  416.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05] - training
    417. 

  417. 2025-05-20 15:26:20,551 - tf_lstm.py - INFO - 验证集损失函数为：[0.51163 0.16686 0.04873 0.01304 0.00363 0.00146 0.00101 0.00092 0.0009
    418. 

  418.  0.00089 0.00089 0.00088 0.00088 0.00088 0.00088 0.00087 0.00087 0.00087
    419. 

  419.  0.00087 0.00086 0.00086 0.00086 0.00086 0.00086 0.00086 0.00086 0.00085
    420. 

  420.  0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00084
    421. 

  421.  0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084
    422. 

  422.  0.00084 0.00084 0.00084 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083
    423. 

  423.  0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083
    424. 

  424.  0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00082
    425. 

  425.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    426. 

  426.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    427. 

  427.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    428. 

  428.  0.00082] - training
    429. 

  429. 2025-05-20 15:26:20,551 - tf_lstm.py - INFO - 验证集损失函数为：[5.1261e-01 1.6711e-01 4.8310e-02 1.2300e-02 2.8100e-03 6.3000e-04
    430. 

  430.  1.8000e-04 1.0000e-04 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    431. 

  431.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    432. 

  432.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    433. 

  433.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    434. 

  434.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    435. 

  435.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    436. 

  436.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    437. 

  437.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    438. 

  438.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    439. 

  439.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    440. 

  440.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    441. 

  441.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    442. 

  442.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    443. 

  443.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    444. 

  444.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    445. 

  445.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05] - training
    446. 

  446. 2025-05-20 15:26:20,573 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo
    447. 

  447. 2025-05-20 15:26:20,573 - dbmg.py - INFO - ❌ 数据库操作 - 详细错误: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'} - insert_trained_model_into_mongo
    448. 

  448. 2025-05-20 15:26:20,677 - tf_model_train.py - ERROR - Training failed: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}
    449. 

  449. Traceback (most recent call last):
    450. 

  450.   File "E:\compete\app\model\tf_model_train.py", line 95, in train
    451. 

  451.     self.mgUtils.insert_trained_model_into_mongo(trained_model, self.config)
    452. 

  452.   File "E:\compete\app\common\dbmg.py", line 77, in insert_trained_model_into_mongo
    453. 

  453.     if collection.estimated_document_count() >= 50:
    454. 

  454.        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    455. 

  455.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\collection.py", line 1810, in estimated_document_count
    456. 

  456.     return self._retryable_non_cursor_read(_cmd, None, operation=_Op.COUNT)
    457. 

  457.            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    458. 

  458.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\collection.py", line 1910, in _retryable_non_cursor_read
    459. 

  459.     return client._retryable_read(func, self._read_preference_for(s), s, operation)
    460. 

  460.            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    461. 

  461.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\mongo_client.py", line 1534, in _retryable_read
    462. 

  462.     return self._retry_internal(
    463. 

  463.            ^^^^^^^^^^^^^^^^^^^^^
    464. 

  464.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\_csot.py", line 108, in csot_wrapper
    465. 

  465.     return func(self, *args, **kwargs)
    466. 

  466.            ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    467. 

  467.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\mongo_client.py", line 1501, in _retry_internal
    468. 

  468.     ).run()
    469. 

  469.       ^^^^^
    470. 

  470.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\mongo_client.py", line 2347, in run
    471. 

  471.     return self._read() if self._is_read else self._write()
    472. 

  472.            ^^^^^^^^^^^^
    473. 

  473.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\mongo_client.py", line 2479, in _read
    474. 

  474.     with self._client._conn_from_server(self._read_pref, self._server, self._session) as (
    475. 

  475.   File "D:\anaconda3\envs\py312\Lib\contextlib.py", line 137, in __enter__
    476. 

  476.     return next(self.gen)
    477. 

  477.            ^^^^^^^^^^^^^^
    478. 

  478.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\mongo_client.py", line 1351, in _conn_from_server
    479. 

  479.     with self._checkout(server, session) as conn:
    480. 

  480.   File "D:\anaconda3\envs\py312\Lib\contextlib.py", line 137, in __enter__
    481. 

  481.     return next(self.gen)
    482. 

  482.            ^^^^^^^^^^^^^^
    483. 

  483.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\mongo_client.py", line 1260, in _checkout
    484. 

  484.     with server.checkout(handler=err_handler) as conn:
    485. 

  485.   File "D:\anaconda3\envs\py312\Lib\contextlib.py", line 137, in __enter__
    486. 

  486.     return next(self.gen)
    487. 

  487.            ^^^^^^^^^^^^^^
    488. 

  488.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\pool.py", line 1763, in checkout
    489. 

  489.     conn = self._get_conn(checkout_started_time, handler=handler)
    490. 

  490.            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    491. 

  491.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\pool.py", line 1921, in _get_conn
    492. 

  492.     conn = self.connect(handler=handler)
    493. 

  493.            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    494. 

  494.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\pool.py", line 1725, in connect
    495. 

  495.     conn.authenticate()
    496. 

  496.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\pool.py", line 1098, in authenticate
    497. 

  497.     auth.authenticate(creds, self, reauthenticate=reauthenticate)
    498. 

  498.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\auth.py", line 656, in authenticate
    499. 

  499.     auth_func(credentials, conn)
    500. 

  500.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\auth.py", line 560, in _authenticate_default
    501. 

  501.     return _authenticate_scram(credentials, conn, "SCRAM-SHA-1")
    502. 

  502.            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    503. 

  503.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\auth.py", line 299, in _authenticate_scram
    504. 

  504.     res = conn.command(source, cmd)
    505. 

  505.           ^^^^^^^^^^^^^^^^^^^^^^^^^
    506. 

  506.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\helpers.py", line 342, in inner
    507. 

  507.     return func(*args, **kwargs)
    508. 

  508.            ^^^^^^^^^^^^^^^^^^^^^
    509. 

  509.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\pool.py", line 988, in command
    510. 

  510.     return command(
    511. 

  511.            ^^^^^^^^
    512. 

  512.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\network.py", line 212, in command
    513. 

  513.     helpers._check_command_response(
    514. 

  514.   File "D:\anaconda3\envs\py312\Lib\site-packages\pymongo\helpers.py", line 248, in _check_command_response
    515. 

  515.     raise OperationFailure(errmsg, code, response, max_wire_version)
    516. 

  516. pymongo.errors.OperationFailure: Authentication failed., full error: {'ok': 0.0, 'errmsg': 'Authentication failed.', 'code': 18, 'codeName': 'AuthenticationFailed'}
    517. 

  517.  - _handle_error
    518. 

  518. 2025-05-20 15:57:57,894 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    519. 

  519.  - _tfmw_add_deprecation_warning
    520. 

  520. 2025-05-20 15:57:58,017 - main.py - INFO - 输入文件目录: E:/compete/app/model/data/DQYC/qy/62/1002/2025-04-21/IN - main
    521. 

  521. 2025-05-20 15:58:00,771 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    522. 

  522.  - _tfmw_add_deprecation_warning
    523. 

  523. 2025-05-20 15:58:03,716 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    524. 

  524.  - _tfmw_add_deprecation_warning
    525. 

  525. 2025-05-20 15:58:03,722 - module_wrapper.py - WARNING - From E:\compete\app\model\losses.py:10: The name tf.set_random_seed is deprecated. Please use tf.compat.v1.set_random_seed instead.
    526. 

  526.  - _tfmw_add_deprecation_warning
    527. 

  527. 2025-05-20 15:58:03,933 - tf_model_train.py - INFO - GPU 2 allocated - _setup_resources
    528. 

  528. 2025-05-20 15:58:03,933 - tf_model_train.py - INFO - GPU 1 allocated - _setup_resources
    529. 

  529. 2025-05-20 15:58:03,952 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    530. 

  530. 2025-05-20 15:58:03,952 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
    531. 

  531. 2025-05-20 15:58:03,960 - data_cleaning.py - INFO - 行清洗：清洗的行数有：68，缺失的列有： - key_field_row_cleaning
    532. 

  532. 2025-05-20 15:58:03,960 - data_cleaning.py - INFO - 行清洗：清洗的行数有：69，缺失的列有： - key_field_row_cleaning
    533. 

  533. 2025-05-20 15:58:03,987 - data_handler.py - INFO - 数据总数：2907, 时序缺失的间隔：0, 其中，较长的时间间隔：0 - missing_time_splite
    534. 

  534. 2025-05-20 15:58:03,987 - data_handler.py - INFO - 需要补值的总点数：0 - missing_time_splite
    535. 

  535. 2025-05-20 15:58:03,988 - data_handler.py - INFO - 数据总数：2908, 时序缺失的间隔：0, 其中，较长的时间间隔：0 - missing_time_splite
    536. 

  536. 2025-05-20 15:58:03,988 - data_handler.py - INFO - 需要补值的总点数：0 - missing_time_splite
    537. 

  537. 2025-05-20 15:58:03,988 - data_handler.py - INFO - 再次测算，需要插值的总点数为：0.0 - fill_train_data
    538. 

  538. 2025-05-20 15:58:03,988 - data_handler.py - INFO - 再次测算，需要插值的总点数为：0.0 - fill_train_data
    539. 

  539. 2025-05-20 15:58:04,931 - dbmg.py - INFO - ⚠️ 未找到模型 'lstm' 的有效记录 - get_keras_model_from_mongo
    540. 

  540. 2025-05-20 15:58:04,932 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    541. 

  541. 2025-05-20 15:58:04,934 - dbmg.py - INFO - ⚠️ 未找到模型 'lstm' 的有效记录 - get_keras_model_from_mongo
    542. 

  542. 2025-05-20 15:58:04,934 - tf_lstm.py - INFO - 加强训练加载模型权重失败:('cannot unpack non-iterable NoneType object',) - train_init
    543. 

  543. 2025-05-20 15:58:18,001 - tf_lstm.py - INFO - -----模型训练经过100轮迭代----- - training
    544. 

  544. 2025-05-20 15:58:18,002 - tf_lstm.py - INFO - -----模型训练经过100轮迭代----- - training
    545. 

  545. 8340e-02 2.6920e-02 6.5200e-03 1.4300e-03
    546. 

  546.  3.2000e-04 1.0000e-04 6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05
    547. 

  547.  6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05 6.0000e-05
    548. 

  548.  6.0000e-05 6.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    549. 

  549.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    550. 

  550.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    551. 

  551.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    552. 

  552.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    553. 

  553.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    554. 

  554.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    555. 

  555.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    556. 

  556.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    557. 

  557.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    558. 

  558.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    559. 

  559.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    560. 

  560.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05
    561. 

  561.  5.0000e-05 5.0000e-05 5.0000e-05 5.0000e-05] - training
    562. 

  562. 2025-05-20 15:58:18,002 - tf_lstm.py - INFO - 验证集损失函数为：[5.1238e-01 1.6642e-01 4.7850e-02 1.2120e-02 2.7600e-03 6.1000e-04
    563. 

  563.  1.8000e-04 1.0000e-04 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    564. 

  564.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    565. 

  565.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    566. 

  566.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    567. 

  567.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    568. 

  568.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    569. 

  569.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    570. 

  570.  8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05 8.0000e-05
    571. 

  571.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    572. 

  572.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    573. 

  573.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    574. 

  574.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    575. 

  575.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    576. 

  576.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    577. 

  577.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05
    578. 

  578.  7.0000e-05 7.0000e-05 7.0000e-05 7.0000e-05] - training
    579. 

  579. 2025-05-20 15:58:18,002 - tf_lstm.py - INFO - 训练集损失函数为：[9.0536e-01 3.1867e-01 9.9770e-02 2.7960e-02 7.2200e-03 1.9900e-03
    580. 

  580.  8.3000e-04 6.0000e-04 5.5000e-04 5.5000e-04 5.4000e-04 5.4000e-04
    581. 

  581.  5.4000e-04 5.4000e-04 5.4000e-04 5.4000e-04 5.3000e-04 5.3000e-04
    582. 

  582.  5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    583. 

  583.  5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04 5.3000e-04
    584. 

  584.  5.3000e-04 5.3000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    585. 

  585.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    586. 

  586.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    587. 

  587.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    588. 

  588.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    589. 

  589.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    590. 

  590.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    591. 

  591.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04
    592. 

  592.  5.2000e-04 5.2000e-04 5.2000e-04 5.2000e-04 5.1000e-04 5.1000e-04
    593. 

  593.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04
    594. 

  594.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04
    595. 

  595.  5.1000e-04 5.1000e-04 5.1000e-04 5.1000e-04] - training
    596. 

  596. 2025-05-20 15:58:18,003 - tf_lstm.py - INFO - 验证集损失函数为：[0.51413 0.16832 0.04944 0.01332 0.00372 0.00148 0.00102 0.00092 0.0009
    597. 

  597.  0.0009  0.00089 0.00089 0.00088 0.00088 0.00088 0.00088 0.00087 0.00087
    598. 

  598.  0.00087 0.00087 0.00086 0.00086 0.00086 0.00086 0.00086 0.00086 0.00086
    599. 

  599.  0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00085 0.00085
    600. 

  600.  0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084 0.00084
    601. 

  601.  0.00084 0.00084 0.00084 0.00084 0.00083 0.00083 0.00083 0.00083 0.00083
    602. 

  602.  0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083
    603. 

  603.  0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00083 0.00082
    604. 

  604.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    605. 

  605.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    606. 

  606.  0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082 0.00082
    607. 

  607.  0.00082] - training
    608. 

  608. 2025-05-20 15:58:18,063 - dbmg.py - INFO - ✅ 模型 lstm 保存成功 | 文档ID: 682c361a3d53239c05a9f9c4 - insert_trained_model_into_mongo
    609. 

  609. 2025-05-20 15:58:18,080 - dbmg.py - INFO - ✅ 模型 lstm 保存成功 | 文档ID: 682c361a39772d853bd04505 - insert_trained_model_into_mongo
    610. 

  610. 2025-05-20 15:58:18,124 - dbmg.py - INFO - ✅ 缩放器 lstm 保存成功 | 文档ID: 682c361a3d53239c05a9f9c6 - insert_scaler_model_into_mongo
    611. 

  611. 2025-05-20 15:58:18,132 - dbmg.py - INFO - ✅ 缩放器 lstm 保存成功 | 文档ID: 682c361a39772d853bd04507 - insert_scaler_model_into_mongo
    612.