run_all.py 2.2 KB

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  1. import subprocess
  2. import os
  3. # 定义要启动的应用及其路径和端口
  4. services = [
  5. # ("data_processing/data_operation/data_join.py", 10094),
  6. # ("data_processing/data_operation/mysql_to_mongo.py", 10095),
  7. # ("data_processing/processing_limit_power/processing_limit_power_by_agcavc.py", 10086),
  8. # ("data_processing/processing_limit_power/processing_limit_power_by_machines.py", 10087),
  9. # ("data_processing/processing_limit_power/processing_limit_power_by_records.py", 10088),
  10. # ("data_processing/processing_limit_power/processing_limit_power_by_statistics_light.py", 10085),
  11. # ("data_processing/processing_limit_power/processing_limit_power_by_statistics_wind.py", 10093),
  12. # ("evaluation_processing/analysis_report.py", 10092),
  13. # ("evaluation_processing/evaluation_accuracy.py", 10091),
  14. # ("models_processing/model_train/model_training_lightgbm.py", 10089),
  15. # ("models_processing/model_predict/model_prediction_lightgbm.py", 10090),
  16. # ("models_processing/model_train/model_training_lstm.py", 10096),
  17. # ("models_processing/model_predict/model_prediction_lstm.py", 10097),
  18. # ("post_processing/post_processing.py", 10098),
  19. # ("evaluation_processing/analysis.py", 10099),
  20. # ("models_processing/model_predict/res_prediction.py", 10105),
  21. ("data_processing/data_operation/pre_data_ftp.py", 10101),
  22. # ("data_processing/data_operation/data_nwp_ftp.py", 10102),
  23. # ("models_processing/model_train/model_training_bp.py", 10103),
  24. # ("models_processing/model_predict/model_prediction_bp.py", 10104),
  25. # ("data_processing/data_operation/data_tj_nwp_ftp.py", 10106),
  26. # ("post_processing/pre_post_processing.py", 10107),
  27. ]
  28. # 获取当前脚本所在的根目录
  29. base_dir = os.path.abspath(os.path.dirname(__file__))
  30. # 启动所有服务
  31. processes = []
  32. for service, port in services:
  33. service_path = os.path.join(base_dir, service)
  34. print(f"Starting {service} on port {port}")
  35. env = os.environ.copy()
  36. env["PYTHONPATH"] = base_dir # 设置 PYTHONPATH 为项目根目录
  37. p = subprocess.Popen(["python", service_path], env=env)
  38. processes.append(p)
  39. # 等待所有进程结束
  40. for p in processes:
  41. p.wait()