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

Before Change

              "\n\ndocker container stderr:\n\n", str(stderr), "\n\n")

        // copy all necessary files produced in Docker container to host
        cmd = [
            "docker", "cp",
            "%s:/tmp/%s_%s.pkl" % (container_name, featureset_key, model_type),
            cfg.MODELS_FOLDER]
        //status_code = call(cmd, stdout=PIPE, stderr=PIPE)
        //print os.path.join(
        //    cfg.MODELS_FOLDER,"%s_%s.pkl"%(featureset_key, model_type)),
        //    "copied to host machine - status code %s" % str(status_code)

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
        path = "/tmp/%s_%s.pkl" % (featureset_key, model_type)
        print(cont_id)
        docker_copy(client, cont_id, path, target=cfg.MODELS_FOLDER)
        print(os.path.join(cfg.MODELS_FOLDER,
                           "%s_%s.pkl" % (featureset_key, model_type)),
              "copied to host machine.")
        print("Process complete.")

Instances