algorithm_platform/run_all.py

import subprocess
import os
# 定义要启动的应用及其路径和端口
services = [
    ("data_processing/data_operation/data_join.py", 10094),
    ("data_processing/data_operation/mysql_to_mongo.py", 10095),
    ("data_processing/data_operation/pre_prod_ftp.py", 10118),
    ("data_processing/processing_limit_power/processing_limit_power_by_agcavc.py", 10086),
    ("data_processing/processing_limit_power/processing_limit_power_by_machines.py", 10087),
    ("data_processing/processing_limit_power/processing_limit_power_by_records.py", 10088),
    ("data_processing/processing_limit_power/processing_limit_power_by_statistics_light.py", 10085),
    ("data_processing/processing_limit_power/processing_limit_power_by_statistics_wind.py", 10093),
    ("data_processing/data_operation/pre_prod_ftp.py", '_'),
    ("evaluation_processing/analysis_report.py", 10092),
    ("evaluation_processing/evaluation_accuracy.py", 10091),
    ("evaluation_processing/analysis_cdq.py", 10108),
    ("models_processing/model_train/model_training_lightgbm.py", 10089),
    ("models_processing/model_predict/model_prediction_lightgbm.py", 10090),
    ("models_processing/model_train/model_training_lstm.py", 10096),
    ("models_processing/model_predict/model_prediction_lstm.py", 10097),

    ("models_processing/model_tf/tf_bp_pre.py", 10110),
    ("models_processing/model_tf/tf_bp_train.py", 10111),
    ("models_processing/model_tf/tf_cnn_pre.py", 10112),
    ("models_processing/model_tf/tf_cnn_train.py", 10113),
    ("models_processing/model_tf/tf_lstm_pre.py", 10114),
    ("models_processing/model_tf/tf_lstm_train.py", 10115),
    ("models_processing/model_tf/tf_test_pre.py", 10116),
    ("models_processing/model_tf/tf_test_train.py", 10117),
    ("models_processing/model_tf/tf_lstm2_pre.py", 10120),
    ("models_processing/model_tf/tf_lstm2_train.py", 10119),
    ("models_processing/model_tf/tf_lstm3_pre.py", 10122),
    ("models_processing/model_tf/tf_lstm3_train.py", 10121),


    ("post_processing/post_processing.py", 10098),
    ("evaluation_processing/analysis.py", 10099),
    ("models_processing/model_predict/res_prediction.py", 10105),
    ("data_processing/data_operation/pre_data_ftp.py", 10101),
    ("data_processing/data_operation/data_nwp_ftp.py", 10102),
    ("models_processing/model_train/model_training_bp.py", 10103),
    ("models_processing/model_predict/model_prediction_bp.py", 10104),
    ("data_processing/data_operation/data_tj_nwp_ftp.py", 10106),
    ("post_processing/pre_post_processing.py", 10107),
    ("post_processing/cdq_coe_gen.py", 10123),
]

# 获取当前脚本所在的根目录
base_dir = os.path.abspath(os.path.dirname(__file__))
# 启动所有服务
processes = []
for service, port in services:
    service_path = os.path.join(base_dir, service)
    print(f"Starting {service} on port {port}")
    env = os.environ.copy()
    env["PYTHONPATH"] = base_dir  # 设置 PYTHONPATH 为项目根目录
    p = subprocess.Popen(["python", service_path], env=env)
    processes.append(p)

# 等待所有进程结束
for p in processes:
    p.wait()