dd4ebd98a0026f626242f30cf9688d61b4798af1,mltsp/run_in_docker_container.py,,predict_in_docker_container,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,254

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_pred_results.pkl" %
                (container_name, prediction_entry_key)),
            "/tmp"]
        status_code = call(cmd, stdout=PIPE, stderr=PIPE)
        print("/tmp/%s_pred_results.pkl" % prediction_entry_key,
              "copied to host machine - status code %s" % str(status_code))
        with open("/tmp/%s_pred_results.pkl" % prediction_entry_key, "rb") as f:
            pred_results_dict = pickle.load(f)

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/predict",
            volumes={"/home/mltsp": ""})["Id"]
        print(cont_id)
        // Start container
        client.start(cont_id,
                     binds={cfg.PROJECT_PATH: {"bind": "/home/mltsp"}})
        // Wait for process to complete
        client.wait(cont_id)
        stdouterr = client.logs(container=cont_id, stdout=True, stderr=True)
        print("\n\ndocker container stdout/err:\n\n", str(stdouterr), "\n\n")

        // copy all necessary files produced in docker container to host
        path = "/tmp/%s_pred_results.pkl" % prediction_entry_key
        docker_copy(client, cont_id, path, target="/tmp")
        print("/tmp/%s_pred_results.pkl" % prediction_entry_key,
              "copied to host machine")
        with open("/tmp/%s_pred_results.pkl" % prediction_entry_key, "rb") as f:
            pred_results_dict = pickle.load(f)

Instances