ef24b500a80a7536beedcc63529a1999101a4ac4,mltsp/run_in_docker_container.py,,build_model_in_docker_container,#Any#Any#Any#,171

Before Change

        // stdout = client.logs(container=cont_id, stdout=True)
        // stderr = client.logs(container=cont_id, stderr=True)
        // run the docker container
        cmd = ["docker", "run",
                "-v", "%s:/home/mltsp" % cfg.PROJECT_PATH,
                "-v", "%s:%s" % (cfg.FEATURES_FOLDER, "/Data/features"),
                "-v", "%s:%s" % (cfg.UPLOAD_FOLDER, "/Data/flask_uploads"),
                "-v", "%s:%s" % (cfg.MODELS_FOLDER, "/Data/models"),
                "--name=%s" % container_name,
                "mltsp/build_model"]
        process = Popen(cmd, stdout=PIPE, stderr=PIPE)
        stdout, stderr = process.communicate()
        print("\n\ndocker container stdout:\n\n", str(stdout),
              "\n\ndocker container stderr:\n\n", str(stderr), "\n\n")

        // copy all necessary files produced in Docker container to host

After Change

        pickle.dump(arguments, f, protocol=2)
    try:
        // Instantiate Docker client
        client = Client(base_url="unix://var/run/docker.sock")
        // Create container
        cont_id = container_name = client.create_container(
            "mltsp/build_model",
            volumes={"/home/mltsp": "", "/Data": ""})["Id"]
        print(cont_id)
        // Start container
        client.start(cont_id,
                     binds={cfg.PROJECT_PATH: {"bind": "/home/mltsp"},
                            cfg.DATA_PATH: {"bind": "/Data"}})
        // Wait for process to complete
        client.wait(cont_id)
        stdout = client.logs(container=cont_id, stdout=True)
        stderr = client.logs(container=cont_id, stderr=True)
        print("\n\ndocker container stdout:\n\n", str(stdout),
              "\n\ndocker container stderr:\n\n", str(stderr), "\n\n")
        // copy model object produced in Docker container to host

Instances