Пример #1
0
def test_create_no_pack(mocker, cmd_mock):
    mocker.patch('os.path.isdir', return_value=False)

    output, exit_code = create('/home/fake_dir', 'fake_pack')

    assert output == DraftCmdTexts.PACK_NOT_EXISTS
    assert exit_code == 1
    assert draft.cmd.copytree_content.call_count == 0
Пример #2
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def test_create_other_error(mocker, cmd_mock):
    mocker.patch('draft.cmd.copytree_content', side_effect=PermissionError)

    output, exit_code = create('/home/fake_dir', 'fake_pack')

    assert output == DraftCmdTexts.DEPLOYMENT_NOT_CREATED
    assert exit_code == 100
    assert draft.cmd.copytree_content.call_count == 1
Пример #3
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def prepare_experiment_environment(experiment_name: str, run_name: str, local_script_location: str,
                                   script_parameters: Tuple[str, ...],
                                   pack_type: str, local_registry_port: int, cluster_registry_port: int,
                                   script_folder_location: str = None,
                                   pack_params: List[Tuple[str, str]] = None,
                                   env_variables: List[str] = None,
                                   requirements_file: str = None) -> PrepareExperimentResult:
    """
    Prepares draft's environment for a certain run based on provided parameters
    :param experiment_name: name of an experiment
    :param run_name: name of an experiment run
    :param local_script_location: location of a script used for training purposes on local machine
    :param script_folder_location: location of an additional folder used in training
    :param script_parameters: parameters passed to a script
    :param pack_type: type of a pack used to start training job
    :param local_registry_port: port on which docker registry is accessible locally
    :param cluster_registry_port: port on which docker registry is accessible within nauta cluster
    :param pack_params: additional pack params
    :param env_variables: environmental variables to be passed to training
    :param requirements_file: path to a file with experiment requirements
    :return: name of folder with an environment created for this run, a name of script used for training purposes
            and count of Pods
    In case of any problems - an exception with a description of a problem is thrown
    """
    log.debug(f'Prepare run {run_name} environment - start')
    run_folder = get_run_environment_path(run_name)
    try:
        # check environment directory
        check_run_environment(run_folder)
        with spinner(text=Texts.CREATING_ENVIRONMENT_MSG.format(run_name=run_name)):
            # create an environment
            create_environment(run_name, local_script_location, script_folder_location)
            # generate draft's data
            output, exit_code, log_output = cmd.create(working_directory=run_folder, pack_type=pack_type)

            # copy requirements file if it was provided, create empty requirements file otherwise
            dest_requirements_file = os.path.join(run_folder, 'requirements.txt')
            if requirements_file:
                shutil.copyfile(requirements_file, dest_requirements_file)
            else:
                Path(dest_requirements_file).touch()

        if exit_code:
            raise SubmitExperimentError(Texts.DRAFT_TEMPLATES_NOT_GENERATED_ERROR_MSG.format(reason=log_output))

        # Script location on experiment container
        remote_script_location = Path(local_script_location).name if local_script_location else ''

        if pack_type in JUPYTER_NOTEBOOK_TEMPLATES_NAMES and remote_script_location.endswith(".py"):
                # for interact (jupyter notebooks) try to convert .py file into .ipynb
                py_script_location = os.path.join(run_folder, FOLDER_DIR_NAME, remote_script_location)
                ipynb_file_name = convert_py_to_ipynb(py_script_location, os.path.join(run_folder, FOLDER_DIR_NAME))
                local_script_location = ipynb_file_name

        # reconfigure draft's templates
        update_configuration(run_folder=run_folder, script_location=remote_script_location,
                             script_parameters=script_parameters,
                             experiment_name=experiment_name, run_name=run_name,
                             local_registry_port=local_registry_port, cluster_registry_port=cluster_registry_port,
                             pack_type=pack_type, pack_params=pack_params,
                             script_folder_location=script_folder_location,
                             env_variables=env_variables)

        pod_count = get_pod_count(run_folder=run_folder, pack_type=pack_type)
    except Exception as exe:
        delete_environment(run_folder)
        raise SubmitExperimentError('Problems during creation of environments.') from exe
    log.debug(f'Prepare run {run_name} environment - finish')
    return PrepareExperimentResult(folder_name=run_folder, script_name=local_script_location, pod_count=pod_count)
Пример #4
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def test_create(cmd_mock):
    output, exit_code = create('/home/fake_dir', 'fake_pack')

    assert output == ""
    assert exit_code == 0
    assert draft.cmd.copytree_content.call_count == 2