def model_file_upload()

in deepracer_follow_the_leader_ws/webserver_pkg/webserver_pkg/models.py [0:0]

• 27 lines of code
• 8 McCabe index (conditional complexity)

def model_file_upload():
    """API to call the service to upload models to the artifacts directory.

    Returns:
        dict: Execution status if the API call was successful and the response message.
    """
    webserver_node = webserver_publisher_node.get_webserver_node()
    #
    # Check if the file received is a tar.gz
    #
    file_obj = request.files["file"]
    file_name = file_obj.filename
    secured_file = secure_filename(file_name)
    if file_name.endswith(".tar.gz"):
        folder_name = file_name[:-7]
    else:
        return jsonify({"success": False,
                        "message": "Failed to upload the model. Not a .tar.gz file"})

    # Always create a new directory. If the folder already exists.
    # Delete and Create a new one.
    dir_path = os.path.join(constants.MODEL_DIRECTORY_PATH, folder_name)
    if os.path.exists(dir_path):
        shutil.rmtree(dir_path)
    os.makedirs(dir_path)

    # Save the uploaded file in the artifacts directory.
    webserver_node.get_logger().info("Uploaded model file: {}".format(file_name))
    file_obj.save(os.path.join(dir_path, secured_file))

    # Optimizing the model once the file is uploaded.
    # Converting the .tar.gz to optimized inference model.
    upload_model_req = ConsoleModelActionSrv.Request()
    upload_model_req.model_path = dir_path

    # action=1 (For upload the model) & action=0 for deleting the model
    upload_model_req.action = 1
    upload_model_res = call_service_sync(webserver_node.model_action_cli, upload_model_req)
    if upload_model_res:
        webserver_node.get_logger().info(f"Uploaded model status return {upload_model_res.status}")
        if upload_model_res.status == "done-upload":
            return jsonify({"success": True,
                            "message": "Model uploaded successfully to your vehicle"})
    return jsonify({"success": False,
                    "message": "Failed to upload & optimize the model"})