04071352

app/logs/2025-04-07/south-forecast.2025-04-07.0.log

@@ -0,0 +1,164 @@
+2025-04-07 13:49:37,112 - 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.
+ - _tfmw_add_deprecation_warning
+2025-04-07 13:49:37,470 - tf_fmi_train.py - INFO - Program starts execution! - model_training
+2025-04-07 13:49:37,529 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
+2025-04-07 13:49:37,544 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubSpeed', 'HubDireciton'} - data_column_cleaning
+2025-04-07 13:49:37,566 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
+2025-04-07 13:49:37,603 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
+2025-04-07 13:49:37,604 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
+2025-04-07 13:49:37,636 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
+2025-04-07 13:49:37,636 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
+2025-04-07 13:49:37,637 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
+2025-04-07 13:49:37,639 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
+2025-04-07 13:49:37,639 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
+2025-04-07 13:49:37,639 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
+2025-04-07 13:49:37,642 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,643 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
+2025-04-07 13:49:37,648 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,648 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
+2025-04-07 13:49:37,649 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,650 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
+2025-04-07 13:49:37,650 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,651 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
+2025-04-07 13:49:37,652 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,652 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
+2025-04-07 13:49:37,653 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,653 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
+2025-04-07 13:49:37,654 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,654 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
+2025-04-07 13:49:37,654 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,655 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
+2025-04-07 13:49:37,655 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
+2025-04-07 13:49:37,668 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,668 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
+2025-04-07 13:49:37,670 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
+2025-04-07 13:49:37,670 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
+2025-04-07 13:49:37,671 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
+2025-04-07 13:49:37,671 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:49:37,672 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
+2025-04-07 13:49:37,673 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:49:37,673 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
+2025-04-07 13:49:37,674 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:49:37,674 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
+2025-04-07 13:49:37,674 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:49:37,675 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
+2025-04-07 13:49:37,675 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
+2025-04-07 13:49:37,676 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
+2025-04-07 13:49:37,689 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,696 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
+2025-04-07 13:49:37,697 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,698 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,699 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,700 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,701 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,702 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,704 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
+2025-04-07 13:49:37,705 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,707 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,708 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,708 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,710 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,711 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
+2025-04-07 13:49:37,711 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
+2025-04-07 13:49:40,227 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:49:40,227 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:49:40,227 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:49:40,228 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:49:40,228 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:49:40,228 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:49:40,228 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:49:40,228 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:49:40,596 - 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
+2025-04-07 13:49:40,596 - tf_fmi.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
+2025-04-07 13:49:52,160 - tf_fmi.py - INFO - -----模型训练经过26轮迭代----- - training
+2025-04-07 13:49:52,161 - tf_fmi.py - INFO - 训练集损失函数为：[51.50243 28.06182 16.38248 10.17221  6.57951  4.203    2.61306  1.60485
+  1.00219  0.66421  0.4868   0.39559  0.35092  0.33071  0.3226   0.31509
+  0.31194  0.31384  0.317    0.30989  0.30833  0.31057  0.30849  0.30717
+  0.30716  0.31247] - training
+2025-04-07 13:49:52,161 - tf_fmi.py - INFO - 验证集损失函数为：[31.6882  20.1309  12.39297  8.02596  5.24482  3.35177  2.13436  1.35984
+  0.88974  0.62046  0.48093  0.41653  0.37632  0.35305  0.34172  0.3387
+  0.34334  0.34849  0.35522  0.352    0.34934  0.36202  0.36299  0.37276
+  0.37557  0.37552] - training
+2025-04-07 13:49:52,237 - 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
+2025-04-07 13:49:52,291 - tf_fmi_train.py - INFO - fmi训练任务：用了 14.820847511291504 秒  - model_training
+2025-04-07 13:51:33,865 - 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.
+ - _tfmw_add_deprecation_warning
+2025-04-07 13:51:33,984 - tf_lstm_train.py - INFO - Program starts execution! - model_training
+2025-04-07 13:51:34,039 - data_cleaning.py - INFO - 开始清洗：训练集…… - cleaning
+2025-04-07 13:51:34,049 - data_cleaning.py - INFO - 列清洗：清洗的列有：{'HubDireciton', 'HubSpeed'} - data_column_cleaning
+2025-04-07 13:51:34,063 - data_cleaning.py - INFO - 行清洗：清洗的行数有：881，缺失的列有： - key_field_row_cleaning
+2025-04-07 13:51:34,074 - data_handler.py - INFO - 2022-05-05 23:45:00 ~ 2022-05-09 00:00:00 - missing_time_splite
+2025-04-07 13:51:34,075 - data_handler.py - INFO - 缺失点数：288.0 - missing_time_splite
+2025-04-07 13:51:34,107 - data_handler.py - INFO - 2022-06-25 07:45:00 ~ 2022-06-25 08:15:00 - missing_time_splite
+2025-04-07 13:51:34,107 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
+2025-04-07 13:51:34,108 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
+2025-04-07 13:51:34,109 - data_handler.py - INFO - 2022-06-27 06:45:00 ~ 2022-06-27 07:15:00 - missing_time_splite
+2025-04-07 13:51:34,109 - data_handler.py - INFO - 缺失点数：1.0 - missing_time_splite
+2025-04-07 13:51:34,109 - data_handler.py - INFO - 需要补值的点数：1.0 - missing_time_splite
+2025-04-07 13:51:34,113 - data_handler.py - INFO - 2022-07-01 06:30:00 ~ 2022-07-01 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,113 - data_handler.py - INFO - 缺失点数：68.0 - missing_time_splite
+2025-04-07 13:51:34,118 - data_handler.py - INFO - 2022-07-08 06:15:00 ~ 2022-07-08 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,118 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
+2025-04-07 13:51:34,119 - data_handler.py - INFO - 2022-07-09 06:15:00 ~ 2022-07-09 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,120 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
+2025-04-07 13:51:34,120 - data_handler.py - INFO - 2022-07-10 06:15:00 ~ 2022-07-10 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,121 - data_handler.py - INFO - 缺失点数：69.0 - missing_time_splite
+2025-04-07 13:51:34,122 - data_handler.py - INFO - 2022-07-11 06:00:00 ~ 2022-07-11 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,122 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
+2025-04-07 13:51:34,123 - data_handler.py - INFO - 2022-07-12 06:00:00 ~ 2022-07-12 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,123 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
+2025-04-07 13:51:34,124 - data_handler.py - INFO - 2022-07-13 06:00:00 ~ 2022-07-13 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,124 - data_handler.py - INFO - 缺失点数：70.0 - missing_time_splite
+2025-04-07 13:51:34,125 - data_handler.py - INFO - 2022-07-14 23:00:00 ~ 2022-07-14 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,125 - data_handler.py - INFO - 缺失点数：2.0 - missing_time_splite
+2025-04-07 13:51:34,125 - data_handler.py - INFO - 需要补值的点数：2.0 - missing_time_splite
+2025-04-07 13:51:34,138 - data_handler.py - INFO - 2022-08-01 20:00:00 ~ 2022-08-01 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,138 - data_handler.py - INFO - 缺失点数：14.0 - missing_time_splite
+2025-04-07 13:51:34,140 - data_handler.py - INFO - 2022-08-02 21:00:00 ~ 2022-08-02 23:45:00 - missing_time_splite
+2025-04-07 13:51:34,140 - data_handler.py - INFO - 缺失点数：10.0 - missing_time_splite
+2025-04-07 13:51:34,141 - data_handler.py - INFO - 2022-08-04 00:00:00 ~ 2022-08-04 23:15:00 - missing_time_splite
+2025-04-07 13:51:34,141 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:51:34,142 - data_handler.py - INFO - 2022-08-05 00:00:00 ~ 2022-08-05 23:15:00 - missing_time_splite
+2025-04-07 13:51:34,142 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:51:34,143 - data_handler.py - INFO - 2022-08-06 00:00:00 ~ 2022-08-06 23:15:00 - missing_time_splite
+2025-04-07 13:51:34,143 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:51:34,144 - data_handler.py - INFO - 2022-08-07 00:00:00 ~ 2022-08-07 23:15:00 - missing_time_splite
+2025-04-07 13:51:34,144 - data_handler.py - INFO - 缺失点数：92.0 - missing_time_splite
+2025-04-07 13:51:34,144 - data_handler.py - INFO - 数据总数：8207, 时序缺失的间隔：3, 其中，较长的时间间隔：14 - missing_time_splite
+2025-04-07 13:51:34,144 - data_handler.py - INFO - 需要补值的总点数：4.0 - missing_time_splite
+2025-04-07 13:51:34,145 - data_handler.py - INFO - 再次测算，需要插值的总点数为：4.0 - fill_train_data
+2025-04-07 13:51:34,147 - data_handler.py - INFO - 2022-05-02 08:00:00 ~ 2022-05-05 23:45:00 有 352 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,150 - data_handler.py - INFO - 2022-05-09 00:00:00 ~ 2022-07-01 06:30:00 有 5115 个点, 填补 2 个点. - data_fill
+2025-04-07 13:51:34,152 - data_handler.py - INFO - 2022-07-01 23:45:00 ~ 2022-07-08 06:15:00 有 603 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,153 - data_handler.py - INFO - 2022-07-08 23:45:00 ~ 2022-07-09 06:15:00 有 27 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,154 - data_handler.py - INFO - 2022-07-09 23:45:00 ~ 2022-07-10 06:15:00 有 27 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,155 - data_handler.py - INFO - 2022-07-10 23:45:00 ~ 2022-07-11 06:00:00 有 26 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,156 - data_handler.py - INFO - 2022-07-11 23:45:00 ~ 2022-07-12 06:00:00 有 26 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,157 - data_handler.py - INFO - 2022-07-12 23:45:00 ~ 2022-07-13 06:00:00 有 26 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,159 - data_handler.py - INFO - 2022-07-13 23:45:00 ~ 2022-08-01 20:00:00 有 1810 个点, 填补 2 个点. - data_fill
+2025-04-07 13:51:34,160 - data_handler.py - INFO - 2022-08-01 23:45:00 ~ 2022-08-02 21:00:00 有 86 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,162 - data_handler.py - INFO - 2022-08-02 23:45:00 ~ 2022-08-04 00:00:00 有 98 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,163 - data_handler.py - INFO - 2022-08-04 23:15:00 ~ 2022-08-05 00:00:00 有 4 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,164 - data_handler.py - INFO - 2022-08-05 23:15:00 ~ 2022-08-06 00:00:00 有 4 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,165 - data_handler.py - INFO - 2022-08-06 23:15:00 ~ 2022-08-07 00:00:00 有 4 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,166 - data_handler.py - INFO - 2022-08-07 23:15:00 ~ 2022-08-07 23:45:00 有 3 个点, 填补 0 个点. - data_fill
+2025-04-07 13:51:34,166 - data_handler.py - INFO - 训练集分成了15段，实际一共补值4点 - data_fill
+2025-04-07 13:51:36,672 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-不满足time_step - get_train_data
+2025-04-07 13:51:36,673 - data_handler.py - INFO - 特征处理-训练数据-无法进行最小分割 - get_train_data
+2025-04-07 13:51:36,889 - 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
+2025-04-07 13:51:36,889 - 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
+2025-04-07 13:51:45,083 - tf_lstm.py - INFO - -----模型训练经过27轮迭代----- - training
+2025-04-07 13:51:45,083 - tf_lstm.py - INFO - 训练集损失函数为：[0.98759 0.49017 0.39408 0.34942 0.32057 0.30133 0.28753 0.27798 0.2714
+ 0.26692 0.26468 0.26134 0.25836 0.25676 0.25471 0.25288 0.25181 0.24975
+ 0.24782 0.24746 0.247   0.24641 0.24581 0.24394 0.24685 0.24457 0.24353] - training
+2025-04-07 13:51:45,083 - tf_lstm.py - INFO - 验证集损失函数为：[0.61675 0.46075 0.40829 0.37418 0.35326 0.33725 0.32495 0.31847 0.31484
+ 0.31264 0.30734 0.30485 0.30338 0.29994 0.29824 0.29777 0.29661 0.29866
+ 0.3054  0.31325 0.30852 0.29957 0.30066 0.3148  0.30761 0.30359 0.30121] - training
+2025-04-07 13:51:45,109 - 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
+2025-04-07 13:51:45,111 - tf_lstm_train.py - INFO - lstm训练任务：用了 11.127336978912354 秒  - model_training

app/model/tf_fmi_train.py

@@ -8,9 +8,6 @@ import json, os
 import numpy as np
 import traceback
 import logging
-
-from joblib.testing import param
-
 from app.common.logs import params
 from app.common.data_handler import DataHandler, write_number_to_file
 import time

app/model/tf_lstm_train.py

@@ -8,9 +8,6 @@ import json, os
 import numpy as np
 import traceback
 import logging
-
-from joblib.testing import param
-
 from app.common.logs import params
 from app.common.data_handler import DataHandler, write_number_to_file
 import time