How to use the kedro.cli.utils.KedroCliError function in kedro

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github quantumblacklabs / kedro / kedro / template / {{ cookiecutter.repo_name }} / kedro_cli.py View on Github external
def test(args):
    """Run the test suite."""
    try:
        import pytest  # pylint: disable=unused-import
    except ImportError:
        raise KedroCliError(NO_DEPENDENCY_MESSAGE.format("pytest"))
    else:
        python_call("pytest", args)
github quantumblacklabs / kedro / kedro / cli / utils.py View on Github external
if isinstance(reqs_path, str):
        reqs_path = Path(reqs_path)
    reqs_path = reqs_path.absolute()
    if not reqs_path.is_file():
        raise KedroCliError(
            "Given path `{0}` is not a regular file.".format(str(reqs_path))
        )

    pattern = re.compile(package_name + r"([^\w]|$)")
    with open(str(reqs_path), "r") as reqs_file:
        for req_line in reqs_file:
            req_line = req_line.strip()
            if pattern.search(req_line):
                return req_line
    msg = "Cannot find `{0}` package in `{1}`.".format(package_name, str(reqs_path))
    raise KedroCliError(msg)
github quantumblacklabs / kedro / kedro / cli / cli.py View on Github external
def _assert_include_example_ok(include_example):
    if not isinstance(include_example, bool):
        message = (
            "`{}` value for `include_example` is invalid. It must be a boolean value "
            "True or False.".format(include_example)
        )
        raise KedroCliError(message)
github tipresias / tipresias / data_science / src / machine_learning / run.py View on Github external
KedroCliError: If the resulting ``Pipeline`` is empty.

    """
    # Report project name
    logging.info("** Kedro project {}".format(Path.cwd().name))

    # Load Catalog
    conf = get_config(project_path=str(Path.cwd()), env=env)
    catalog = create_catalog(config=conf)

    # Load the pipeline
    pipeline = create_pipeline()
    pipeline = pipeline.only_nodes_with_tags(*tags) if tags else pipeline
    if not pipeline.nodes:
        if tags:
            raise KedroCliError("Pipeline contains no nodes with tags: " + str(tags))
        raise KedroCliError("Pipeline contains no nodes")

    # Load the runner
    # When either --parallel or --runner is used, class_obj is assigned to runner
    runner_func = load_obj(runner, "kedro.runner") if runner else SequentialRunner

    # Run the runner
    runner_func().run(pipeline, catalog)
github tipresias / tipresias / data_science / src / machine_learning / run.py View on Github external
"""
    # Report project name
    logging.info("** Kedro project {}".format(Path.cwd().name))

    # Load Catalog
    conf = get_config(project_path=str(Path.cwd()), env=env)
    catalog = create_catalog(config=conf)

    # Load the pipeline
    pipeline = create_pipeline()
    pipeline = pipeline.only_nodes_with_tags(*tags) if tags else pipeline
    if not pipeline.nodes:
        if tags:
            raise KedroCliError("Pipeline contains no nodes with tags: " + str(tags))
        raise KedroCliError("Pipeline contains no nodes")

    # Load the runner
    # When either --parallel or --runner is used, class_obj is assigned to runner
    runner_func = load_obj(runner, "kedro.runner") if runner else SequentialRunner

    # Run the runner
    runner_func().run(pipeline, catalog)
github quantumblacklabs / kedro-examples / kedro-tutorial / kedro_cli.py View on Github external
kedro_project_path = context.project_path
    kedro_package_name = "kedro_tutorial"

    if all_flag:
        # pathlib glob does not ignore hidden directories,
        # whereas Python glob does, which is more useful in
        # ensuring checkpoints will not be included
        pattern = kedro_project_path / "**" / "*.ipynb"
        notebooks = sorted(Path(p) for p in iglob(str(pattern), recursive=True))
    else:
        notebooks = [Path(f) for f in filepath]

    counter = Counter(n.stem for n in notebooks)
    non_unique_names = [name for name, counts in counter.items() if counts > 1]
    if non_unique_names:
        raise KedroCliError(
            "Found non-unique notebook names! "
            "Please rename the following: {}".format(", ".join(non_unique_names))
        )

    for notebook in notebooks:
        secho("Converting notebook '{}'...".format(str(notebook)))
        output_path = (
            kedro_project_path
            / "src"
            / kedro_package_name
            / "nodes"
            / "{}.py".format(notebook.stem)
        )

        if output_path.is_file():
            overwrite = overwrite_flag or click.confirm(
github quantumblacklabs / kedro-examples / kedro-tutorial / kedro_cli.py View on Github external
def activate_nbstripout():
    """Install the nbstripout git hook to automatically clean notebooks."""
    secho(
        (
            "Notebook output cells will be automatically cleared before committing"
            " to git."
        ),
        fg="yellow",
    )

    try:
        import nbstripout  # pylint: disable=unused-import
    except ImportError:
        raise KedroCliError(NO_DEPENDENCY_MESSAGE.format("nbstripout"))

    try:
        res = subprocess.run(
            ["git", "rev-parse", "--git-dir"],
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
        )
        if res.returncode:
            raise KedroCliError("Not a git repository. Run `git init` first.")
    except FileNotFoundError:
        raise KedroCliError("Git executable not found. Install Git first.")

    call(["nbstripout", "--install"])
github quantumblacklabs / kedro / kedro / template / {{ cookiecutter.repo_name }} / kedro_cli.py View on Github external
try:
        import nbstripout  # pylint: disable=unused-import
    except ImportError:
        raise KedroCliError(NO_DEPENDENCY_MESSAGE.format("nbstripout"))

    try:
        res = subprocess.run(
            ["git", "rev-parse", "--git-dir"],
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
        )
        if res.returncode:
            raise KedroCliError("Not a git repository. Run `git init` first.")
    except FileNotFoundError:
        raise KedroCliError("Git executable not found. Install Git first.")

    call(["nbstripout", "--install"])
github tipresias / tipresias / data_science / kedro_cli.py View on Github external
fg="yellow",
    )

    try:
        import nbstripout  # pylint: disable=unused-import,unused-variable
    except ImportError:
        raise KedroCliError(NO_NBSTRIPOUT_MESSAGE)

    try:
        res = subprocess.run(
            ["git", "rev-parse", "--git-dir"],
            stdout=subprocess.PIPE,
            stderr=subprocess.PIPE,
        )
        if res.returncode:
            raise KedroCliError("Not a git repository. Run `git init` first.")
    except FileNotFoundError:
        raise KedroCliError("Git executable not found. Install Git first.")

    call(["nbstripout", "--install"])
github quantumblacklabs / kedro / kedro / cli / cli.py View on Github external
def _handle_exception(msg, end=True):
    """Pretty print the current exception then exit."""
    if _VERBOSE:
        click.secho(traceback.format_exc(), nl=False, fg="yellow")
    else:
        etype, value, _ = sys.exc_info()
        click.secho(
            "".join(*traceback.format_exception_only(etype, value))
            + "Run with --verbose to see the full exception",
            fg="yellow",
        )
    if end:
        raise KedroCliError(msg)
    click.secho("Error: " + msg, fg="red")  # pragma: no cover