执行逻辑调整

This commit is contained in:
workpc 2025-06-24 16:12:25 +08:00
parent d9efdde78b
commit b2c958a4fd
3 changed files with 21 additions and 21 deletions

View File

@ -516,23 +516,23 @@ def predict_main():
model_results3 = model_losss(sqlitedb, end_time=end_time) model_results3 = model_losss(sqlitedb, end_time=end_time)
logger.info('训练数据绘图end') logger.info('训练数据绘图end')
# # 模型报告 # 模型报告
# logger.info('制作报告ing') logger.info('制作报告ing')
# title = f'{settings}--{end_time}-预测报告' # 报告标题 title = f'{settings}--{end_time}-预测报告' # 报告标题
# reportname = f'Brent原油大模型日度预测--{end_time}.pdf' # 报告文件名 reportname = f'Brent原油大模型日度预测--{end_time}.pdf' # 报告文件名
# reportname = reportname.replace(':', '-') # 替换冒号 reportname = reportname.replace(':', '-') # 替换冒号
# brent_export_pdf(dataset=dataset, brent_export_pdf(dataset=dataset,
# num_models=5 if is_fivemodels else 22, time=end_time, num_models=5 if is_fivemodels else 22, time=end_time,
# reportname=reportname, reportname=reportname,
# inputsize=global_config['horizon'], inputsize=global_config['horizon'],
# sqlitedb=sqlitedb sqlitedb=sqlitedb
# ), ),
# logger.info('制作报告end') logger.info('制作报告end')
# logger.info('模型训练完成') logger.info('模型训练完成')
# push_market_value() push_market_value()
# sql_inset_predict(global_config) sql_inset_predict(global_config)
# # LSTM 单变量模型 # # LSTM 单变量模型
# ex_Lstm(df,input_seq_len=input_size,output_seq_len=horizon,is_debug=is_debug,dataset=dataset) # ex_Lstm(df,input_seq_len=input_size,output_seq_len=horizon,is_debug=is_debug,dataset=dataset)
@ -563,6 +563,5 @@ if __name__ == '__main__':
# end_time = i_time.strftime('%Y-%m-%d') # end_time = i_time.strftime('%Y-%m-%d')
# predict_main() # predict_main()
# predict_main() predict_main()
# push_market_value() # push_market_value()
sql_inset_predict(global_config)

View File

@ -473,6 +473,8 @@ def predict_main():
logger.info('制作报告end') logger.info('制作报告end')
logger.info('模型训练完成') logger.info('模型训练完成')
sql_inset_predict(global_config)
# # LSTM 单变量模型 # # LSTM 单变量模型
# ex_Lstm(df,input_seq_len=input_size,output_seq_len=horizon,is_debug=is_debug,dataset=dataset) # ex_Lstm(df,input_seq_len=input_size,output_seq_len=horizon,is_debug=is_debug,dataset=dataset)
@ -506,5 +508,4 @@ if __name__ == '__main__':
# logger.info(f'预测失败:{e}') # logger.info(f'预测失败:{e}')
# continue # continue
# predict_main() predict_main()
sql_inset_predict(global_config)

View File

@ -452,6 +452,7 @@ def predict_main():
logger.info('模型训练完成') logger.info('模型训练完成')
push_market_value() push_market_value()
sql_inset_predict(global_config)
# 发送邮件 # 发送邮件
# m = SendMail( # m = SendMail(
@ -477,5 +478,4 @@ if __name__ == '__main__':
# logger.info(f'预测失败:{e}') # logger.info(f'预测失败:{e}')
# continue # continue
# predict_main() predict_main()
sql_inset_predict(global_config)