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Utils

zenml.cli.utils

Utility functions for the CLI.

confirmation(text, *args, **kwargs)

Echo a confirmation string on the CLI.

Parameters:

Name Type Description Default
text str

Input text string.

required
*args Any

Args to be passed to click.confirm().

()
**kwargs Any

Kwargs to be passed to click.confirm().

{}

Returns:

Type Description
bool

Boolean based on user response.

Source code in zenml/cli/utils.py
def confirmation(text: str, *args: Any, **kwargs: Any) -> bool:
    """Echo a confirmation string on the CLI.

    Args:
        text: Input text string.
        *args: Args to be passed to click.confirm().
        **kwargs: Kwargs to be passed to click.confirm().

    Returns:
        Boolean based on user response.
    """
    return Confirm.ask(text, console=console)

declare(text, bold=None, italic=None)

Echo a declaration on the CLI.

Parameters:

Name Type Description Default
text Union[str, rich.text.Text]

Input text string.

required
bold Optional[bool]

Optional boolean to bold the text.

None
italic Optional[bool]

Optional boolean to italicize the text.

None
Source code in zenml/cli/utils.py
def declare(
    text: Union[str, Text],
    bold: Optional[bool] = None,
    italic: Optional[bool] = None,
) -> None:
    """Echo a declaration on the CLI.

    Args:
        text: Input text string.
        bold: Optional boolean to bold the text.
        italic: Optional boolean to italicize the text.
    """
    base_style = zenml_style_defaults["info"]
    style = Style.chain(base_style, Style(bold=bold, italic=italic))
    console.print(text, style=style)

error(text)

Echo an error string on the CLI.

Parameters:

Name Type Description Default
text str

Input text string.

required

Exceptions:

Type Description
ClickException

when called.

Source code in zenml/cli/utils.py
def error(text: str) -> NoReturn:
    """Echo an error string on the CLI.

    Args:
        text: Input text string.

    Raises:
        ClickException: when called.
    """
    raise click.ClickException(message=click.style(text, fg="red", bold=True))

expand_argument_value_from_file(name, value)

Expands the value of an argument pointing to a file into the contents of that file.

Parameters:

Name Type Description Default
name str

Name of the argument. Used solely for logging purposes.

required
value str

The value of the argument. This is to be interpreted as a filename if it begins with a @ character.

required

Returns:

Type Description
str

The argument value expanded into the contents of the file, if the argument value begins with a @ character. Otherwise, the argument value is returned unchanged.

Exceptions:

Type Description
ValueError

If the argument value points to a file that doesn't exist, that cannot be read, or is too long(i.e. exceeds MAX_ARGUMENT_VALUE_SIZE bytes).

Source code in zenml/cli/utils.py
def expand_argument_value_from_file(name: str, value: str) -> str:
    """Expands the value of an argument pointing to a file into the contents of that file.

    Args:
        name: Name of the argument. Used solely for logging purposes.
        value: The value of the argument. This is to be interpreted as a
            filename if it begins with a `@` character.

    Returns:
        The argument value expanded into the contents of the file, if the
        argument value begins with a `@` character. Otherwise, the argument
        value is returned unchanged.

    Raises:
        ValueError: If the argument value points to a file that doesn't exist,
            that cannot be read, or is too long(i.e. exceeds
            `MAX_ARGUMENT_VALUE_SIZE` bytes).
    """
    if value.startswith("@@"):
        return value[1:]
    if not value.startswith("@"):
        return value
    filename = os.path.abspath(value[1:])
    logger.info(
        f"Expanding argument value `{name}` to contents of file `{filename}`."
    )
    if not os.path.isfile(filename):
        raise ValueError(
            f"Could not load argument '{name}' value: file "
            f"'{filename}' does not exist or is not readable."
        )
    try:
        if os.path.getsize(filename) > MAX_ARGUMENT_VALUE_SIZE:
            raise ValueError(
                f"Could not load argument '{name}' value: file "
                f"'{filename}' is too large (max size is "
                f"{MAX_ARGUMENT_VALUE_SIZE} bytes)."
            )

        with open(filename, "r") as f:
            return f.read()
    except OSError as e:
        raise ValueError(
            f"Could not load argument '{name}' value: file "
            f"'{filename}' could not be accessed: {str(e)}"
        )

format_date(dt, format='%Y-%m-%d %H:%M:%S')

Format a date into a string.

Parameters:

Name Type Description Default
dt datetime

Datetime object to be formatted.

required
format str

The format in string you want the datetime formatted to.

'%Y-%m-%d %H:%M:%S'

Returns:

Type Description
str

Formatted string according to specification.

Source code in zenml/cli/utils.py
def format_date(
    dt: datetime.datetime, format: str = "%Y-%m-%d %H:%M:%S"
) -> str:
    """Format a date into a string.

    Args:
        dt: Datetime object to be formatted.
        format: The format in string you want the datetime formatted to.

    Returns:
        Formatted string according to specification.
    """
    if dt is None:
        return ""
    # make sure this is UTC
    dt = dt.replace(tzinfo=tz.tzutc())

    if sys.platform != "win32":
        # On non-windows get local time zone.
        local_zone = tz.tzlocal()
        dt = dt.astimezone(local_zone)
    else:
        logger.warning("On Windows, all times are displayed in UTC timezone.")

    return dt.strftime(format)

format_integration_list(integrations)

Formats a list of integrations into a List of Dicts.

This list of dicts can then be printed in a table style using cli_utils.print_table.

Parameters:

Name Type Description Default
integrations List[Tuple[str, Type[Integration]]]

List of tuples containing the name of the integration and the integration metadata.

required

Returns:

Type Description
List[Dict[str, str]]

List of Dicts containing the name of the integration and the integration

Source code in zenml/cli/utils.py
def format_integration_list(
    integrations: List[Tuple[str, Type["Integration"]]]
) -> List[Dict[str, str]]:
    """Formats a list of integrations into a List of Dicts.

    This list of dicts can then be printed in a table style using
    cli_utils.print_table.

    Args:
        integrations: List of tuples containing the name of the integration and
            the integration metadata.

    Returns:
        List of Dicts containing the name of the integration and the integration
    """
    list_of_dicts = []
    for name, integration_impl in integrations:
        is_installed = integration_impl.check_installation()
        list_of_dicts.append(
            {
                "INSTALLED": ":white_check_mark:" if is_installed else ":x:",
                "INTEGRATION": name,
                "REQUIRED_PACKAGES": ", ".join(integration_impl.REQUIREMENTS),
            }
        )
    return list_of_dicts

get_service_status_emoji(service)

Get the rich emoji representing the operational status of a Service.

Parameters:

Name Type Description Default
service BaseService

Service to get emoji for.

required

Returns:

Type Description
str

String representing the emoji.

Source code in zenml/cli/utils.py
def get_service_status_emoji(service: "BaseService") -> str:
    """Get the rich emoji representing the operational status of a Service.

    Args:
        service: Service to get emoji for.

    Returns:
        String representing the emoji.
    """
    from zenml.services.service_status import ServiceState

    if service.status.state == ServiceState.ACTIVE:
        return ":white_check_mark:"
    if service.status.state == ServiceState.INACTIVE:
        return ":pause_button:"
    if service.status.state == ServiceState.ERROR:
        return ":heavy_exclamation_mark:"
    return ":hourglass_not_done:"

install_packages(packages)

Installs pypi packages into the current environment with pip.

Parameters:

Name Type Description Default
packages List[str]

List of packages to install.

required
Source code in zenml/cli/utils.py
def install_packages(packages: List[str]) -> None:
    """Installs pypi packages into the current environment with pip.

    Args:
        packages: List of packages to install.
    """
    command = [sys.executable, "-m", "pip", "install"] + packages

    if not IS_DEBUG_ENV:
        command += [
            "-qqq",
            "--no-warn-conflicts",
        ]

    subprocess.check_call(command)

parse_unknown_component_attributes(args)

Parse unknown options from the CLI.

Parameters:

Name Type Description Default
args List[str]

A list of strings from the CLI.

required

Returns:

Type Description
List[str]

List of parsed args.

Source code in zenml/cli/utils.py
def parse_unknown_component_attributes(args: List[str]) -> List[str]:
    """Parse unknown options from the CLI.

    Args:
        args: A list of strings from the CLI.

    Returns:
        List of parsed args.
    """
    warning_message = (
        "Please provide args with a proper "
        "identifier as the key and the following structure: "
        "--custom_attribute"
    )

    assert all(a.startswith("--") for a in args), warning_message
    p_args = [a.lstrip("-") for a in args]
    assert all(v.isidentifier() for v in p_args), warning_message
    return p_args

parse_unknown_options(args, expand_args=False)

Parse unknown options from the CLI.

Parameters:

Name Type Description Default
args List[str]

A list of strings from the CLI.

required
expand_args bool

Whether to expand argument values into the contents of the files they may be pointing at using the special @ character.

False

Returns:

Type Description
Dict[str, Any]

Dict of parsed args.

Source code in zenml/cli/utils.py
def parse_unknown_options(
    args: List[str], expand_args: bool = False
) -> Dict[str, Any]:
    """Parse unknown options from the CLI.

    Args:
        args: A list of strings from the CLI.
        expand_args: Whether to expand argument values into the contents of the
            files they may be pointing at using the special `@` character.

    Returns:
        Dict of parsed args.
    """
    warning_message = (
        "Please provide args with a proper "
        "identifier as the key and the following structure: "
        '--custom_argument="value"'
    )

    assert all(a.startswith("--") for a in args), warning_message
    assert all("=" in a for a in args), warning_message

    args_dict = dict(a[2:].split("=", maxsplit=1) for a in args)
    assert all(k.isidentifier() for k in args_dict), warning_message

    if expand_args:
        args_dict = {
            k: expand_argument_value_from_file(k, v)
            for k, v in args_dict.items()
        }

    return args_dict

pretty_print(obj)

Pretty print an object on the CLI using rich.print.

Parameters:

Name Type Description Default
obj Any

Any object with a str method defined.

required

TODO: [LOW] check whether this needs to be converted to a string first

TODO: [LOW] use rich prettyprint for this instead

Source code in zenml/cli/utils.py
def pretty_print(obj: Any) -> None:
    """Pretty print an object on the CLI using `rich.print`.

    Args:
        obj: Any object with a __str__ method defined.

    # TODO: [LOW] check whether this needs to be converted to a string first
    # TODO: [LOW] use rich prettyprint for this instead
    """
    console.print(obj)

pretty_print_model_deployer(model_services, model_deployer)

Given a list of served_models, print all key-value pairs associated with the secret.

Parameters:

Name Type Description Default
model_services List[BaseService]

list of model deployment services

required
model_deployer BaseModelDeployer

Active model deployer

required
Source code in zenml/cli/utils.py
def pretty_print_model_deployer(
    model_services: List["BaseService"], model_deployer: "BaseModelDeployer"
) -> None:
    """Given a list of served_models, print all key-value pairs associated with the secret.

    Args:
        model_services: list of model deployment services
        model_deployer: Active model deployer
    """
    model_service_dicts = []
    for model_service in model_services:
        served_model_info = model_deployer.get_model_server_info(model_service)
        dict_uuid = str(model_service.uuid)
        dict_pl_name = model_service.config.pipeline_name
        dict_pl_stp_name = model_service.config.pipeline_step_name
        dict_model_name = served_model_info.get("MODEL_NAME", "")
        model_service_dicts.append(
            {
                "STATUS": get_service_status_emoji(model_service),
                "UUID": dict_uuid,
                "PIPELINE_NAME": dict_pl_name,
                "PIPELINE_STEP_NAME": dict_pl_stp_name,
                "MODEL_NAME": dict_model_name,
            }
        )
    print_table(
        model_service_dicts, UUID=table.Column(header="UUID", min_width=36)
    )

pretty_print_secret(secret, hide_secret=True)

Given a secret set, print all key-value pairs associated with the secret.

Parameters:

Name Type Description Default
secret BaseSecretSchema

Secret of type BaseSecretSchema

required
hide_secret bool

boolean that configures if the secret values are shown on the CLI

True
Source code in zenml/cli/utils.py
def pretty_print_secret(
    secret: "BaseSecretSchema", hide_secret: bool = True
) -> None:
    """Given a secret set, print all key-value pairs associated with the secret.

    Args:
        secret: Secret of type BaseSecretSchema
        hide_secret: boolean that configures if the secret values are shown
            on the CLI
    """

    def get_secret_value(value: Any) -> str:
        if value is None:
            return ""
        if hide_secret:
            return "***"
        return str(value)

    stack_dicts = [
        {
            "SECRET_KEY": key,
            "SECRET_VALUE": get_secret_value(value),
        }
        for key, value in secret.content.items()
    ]
    print_table(stack_dicts)

print_active_profile()

Print active profile.

Source code in zenml/cli/utils.py
def print_active_profile() -> None:
    """Print active profile."""
    from zenml.repository import Repository

    repo = Repository()
    scope = "local" if repo.root else "global"
    declare(
        f"Running with active profile: '{repo.active_profile_name}' ({scope})"
    )

print_active_stack()

Print active stack.

Source code in zenml/cli/utils.py
def print_active_stack() -> None:
    """Print active stack."""
    from zenml.repository import Repository

    repo = Repository()
    declare(f"Running with active stack: '{repo.active_stack_name}'")

print_flavor_list(flavors, component_type)

Prints the list of flavors.

Parameters:

Name Type Description Default
flavors List[FlavorWrapper]

List of flavors to print.

required
component_type StackComponentType

Type of component the flavors belong to.

required
Source code in zenml/cli/utils.py
def print_flavor_list(
    flavors: List["FlavorWrapper"],
    component_type: "StackComponentType",
) -> None:
    """Prints the list of flavors.

    Args:
        flavors: List of flavors to print.
        component_type: Type of component the flavors belong to.
    """
    from zenml.integrations.registry import integration_registry
    from zenml.utils.source_utils import validate_flavor_source

    flavor_table = []
    for f in flavors:
        reachable = False

        if f.integration:
            if f.integration == "built-in":
                reachable = True
            else:
                reachable = integration_registry.is_installed(f.integration)

        else:
            try:
                validate_flavor_source(f.source, component_type=component_type)
                reachable = True
            except (
                AssertionError,
                ModuleNotFoundError,
                ImportError,
                ValueError,
            ):
                pass

        flavor_table.append(
            {
                "FLAVOR": f.name,
                "INTEGRATION": f.integration,
                "READY-TO-USE": ":white_check_mark:" if reachable else "",
                "SOURCE": f.source,
            }
        )

    print_table(flavor_table)
    warning(
        "The flag 'READY-TO-USE' indicates whether you can directly "
        "create/use/manage a stack component with that specific flavor. "
        "You can bring a flavor to a state where it is 'READY-TO-USE' in two "
        "different ways. If the flavor belongs to a ZenML integration, "
        "you can use `zenml integration install <name-of-the-integration>` and "
        "if it doesn't, you can make sure that you are using ZenML in an "
        "environment where ZenML can import the flavor through its source "
        "path (also shown in the list)."
    )

print_profile(profile, active)

Prints the configuration options of a profile.

Parameters:

Name Type Description Default
profile ProfileConfiguration

Profile to print.

required
active bool

Whether the profile is active.

required
Source code in zenml/cli/utils.py
def print_profile(
    profile: "ProfileConfiguration",
    active: bool,
) -> None:
    """Prints the configuration options of a profile.

    Args:
        profile: Profile to print.
        active: Whether the profile is active.
    """
    profile_title = f"'{profile.name}' Profile Configuration"
    if active:
        profile_title += " (ACTIVE)"

    rich_table = table.Table(
        box=box.HEAVY_EDGE,
        title=profile_title,
        show_lines=True,
    )
    rich_table.add_column("PROPERTY")
    rich_table.add_column("VALUE", overflow="fold")
    items = profile.dict().items()
    for item in items:
        elements = []
        for idx, elem in enumerate(item):
            if idx == 0:
                elements.append(f"{elem.upper()}")
            else:
                elements.append(elem)
        rich_table.add_row(*elements)

    console.print(rich_table)

print_pydantic_models(models, columns=None, exclude_columns=(), is_active=None)

Prints the list of Pydantic models in a table.

Parameters:

Name Type Description Default
models Sequence[~M]

List of Pydantic models that will be represented as a row in the table.

required
columns Optional[Sequence[str]]

Optionally specify subset and order of columns to display.

None
exclude_columns Sequence[str]

Optionally specify columns to exclude. (Note: columns takes precedence over exclude_columns.)

()
is_active Optional[Callable[[~M], bool]]

Optional function that marks as row as active.

None
Source code in zenml/cli/utils.py
def print_pydantic_models(
    models: Sequence[M],
    columns: Optional[Sequence[str]] = None,
    exclude_columns: Sequence[str] = (),
    is_active: Optional[Callable[[M], bool]] = None,
) -> None:
    """Prints the list of Pydantic models in a table.

    Args:
        models: List of Pydantic models that will be represented as a row in
            the table.
        columns: Optionally specify subset and order of columns to display.
        exclude_columns: Optionally specify columns to exclude. (Note: `columns`
            takes precedence over `exclude_columns`.)
        is_active: Optional function that marks as row as active.

    """

    def __dictify(model: M) -> Dict[str, str]:
        """Helper function to map over the list to turn Models into dicts.

        Args:
            model: Pydantic model.

        Returns:
            Dict of model attributes.
        """
        items = (
            {
                key: str(value)
                for key, value in model.dict().items()
                if key not in exclude_columns
            }
            if columns is None
            else {key: str(model.dict()[key]) for key in columns}
        )
        # prepend an active marker if a function to mark active was passed
        return (
            dict(active=":point_right:" if is_active(model) else "", **items)
            if is_active is not None
            else items
        )

    print_table([__dictify(model) for model in models])

print_secrets(secrets)

Prints the configuration options of a stack.

Parameters:

Name Type Description Default
secrets List[str]

List of secrets

required
Source code in zenml/cli/utils.py
def print_secrets(secrets: List[str]) -> None:
    """Prints the configuration options of a stack.

    Args:
        secrets: List of secrets
    """
    rich_table = table.Table(
        box=box.HEAVY_EDGE,
        title="Secrets",
        show_lines=True,
    )
    rich_table.add_column("SECRET_NAME", overflow="fold")
    secrets.sort()
    for item in secrets:
        rich_table.add_row(item)

    console.print(rich_table)

print_served_model_configuration(model_service, model_deployer)

Prints the configuration of a model_service.

Parameters:

Name Type Description Default
model_service BaseService

Specific service instance to

required
model_deployer BaseModelDeployer

Active model deployer

required
Source code in zenml/cli/utils.py
def print_served_model_configuration(
    model_service: "BaseService", model_deployer: "BaseModelDeployer"
) -> None:
    """Prints the configuration of a model_service.

    Args:
        model_service: Specific service instance to
        model_deployer: Active model deployer
    """
    title = f"Properties of Served Model {model_service.uuid}"

    rich_table = table.Table(
        box=box.HEAVY_EDGE,
        title=title,
        show_lines=True,
    )
    rich_table.add_column("MODEL SERVICE PROPERTY", overflow="fold")
    rich_table.add_column("VALUE", overflow="fold")

    # Get implementation specific info
    served_model_info = model_deployer.get_model_server_info(model_service)

    served_model_info = {
        **served_model_info,
        "UUID": str(model_service.uuid),
        "STATUS": get_service_status_emoji(model_service),
        "STATUS_MESSAGE": model_service.status.last_error,
        "PIPELINE_NAME": model_service.config.pipeline_name,
        "PIPELINE_RUN_ID": model_service.config.pipeline_run_id,
        "PIPELINE_STEP_NAME": model_service.config.pipeline_step_name,
    }

    # Sort fields alphabetically
    sorted_items = {k: v for k, v in sorted(served_model_info.items())}

    for item in sorted_items.items():
        rich_table.add_row(*[str(elem) for elem in item])

    # capitalize entries in first column
    rich_table.columns[0]._cells = [
        component.upper()  # type: ignore[union-attr]
        for component in rich_table.columns[0]._cells
    ]
    console.print(rich_table)

print_stack_component_configuration(component, display_name, active_status)

Prints the configuration options of a stack component.

Parameters:

Name Type Description Default
component ComponentWrapper

The stack component to print.

required
display_name str

The name of the stack component.

required
active_status bool

Whether the stack component is active.

required
Source code in zenml/cli/utils.py
def print_stack_component_configuration(
    component: "ComponentWrapper", display_name: str, active_status: bool
) -> None:
    """Prints the configuration options of a stack component.

    Args:
        component: The stack component to print.
        display_name: The name of the stack component.
        active_status: Whether the stack component is active.
    """
    title = f"{component.type.value.upper()} Component Configuration"
    if active_status:
        title += " (ACTIVE)"
    rich_table = table.Table(
        box=box.HEAVY_EDGE,
        title=title,
        show_lines=True,
    )
    rich_table.add_column("COMPONENT_PROPERTY")
    rich_table.add_column("VALUE", overflow="fold")

    component_dict = component.dict()
    component_dict.pop("config")
    component_dict.update(
        yaml.safe_load(base64.b64decode(component.config).decode())
    )
    items = component_dict.items()
    for item in items:
        elements = []
        for idx, elem in enumerate(item):
            if idx == 0:
                elements.append(f"{elem.upper()}")
            else:
                elements.append(str(elem))
        rich_table.add_row(*elements)

    console.print(rich_table)

print_stack_component_list(components, active_component_name=None)

Prints a table with configuration options for a list of stack components.

If a component is active (its name matches the active_component_name), it will be highlighted in a separate table column.

Parameters:

Name Type Description Default
components List[ComponentWrapper]

List of stack components to print.

required
active_component_name Optional[str]

Name of the component that is currently active.

None
Source code in zenml/cli/utils.py
def print_stack_component_list(
    components: List["ComponentWrapper"],
    active_component_name: Optional[str] = None,
) -> None:
    """Prints a table with configuration options for a list of stack components.

    If a component is active (its name matches the `active_component_name`),
    it will be highlighted in a separate table column.

    Args:
        components: List of stack components to print.
        active_component_name: Name of the component that is currently
            active.
    """
    configurations = []
    for component in components:
        is_active = component.name == active_component_name
        component_config = {
            "ACTIVE": ":point_right:" if is_active else "",
            "NAME": component.name,
            "FLAVOR": component.flavor,
            "UUID": component.uuid,
            **{
                key.upper(): str(value)
                for key, value in yaml.safe_load(
                    base64.b64decode(component.config).decode()
                ).items()
            },
        }
        configurations.append(component_config)
    print_table(configurations)

print_stack_configuration(config, active, stack_name)

Prints the configuration options of a stack.

Parameters:

Name Type Description Default
config Dict[StackComponentType, str]

Configuration options of the stack.

required
active bool

Whether the stack is active.

required
stack_name str

Name of the stack.

required
Source code in zenml/cli/utils.py
def print_stack_configuration(
    config: Dict["StackComponentType", str], active: bool, stack_name: str
) -> None:
    """Prints the configuration options of a stack.

    Args:
        config: Configuration options of the stack.
        active: Whether the stack is active.
        stack_name: Name of the stack.
    """
    stack_caption = f"'{stack_name}' stack"
    if active:
        stack_caption += " (ACTIVE)"
    rich_table = table.Table(
        box=box.HEAVY_EDGE,
        title="Stack Configuration",
        caption=stack_caption,
        show_lines=True,
    )
    rich_table.add_column("COMPONENT_TYPE", overflow="fold")
    rich_table.add_column("COMPONENT_NAME", overflow="fold")
    for component_type, name in config.items():
        rich_table.add_row(component_type.value, name)

    # capitalize entries in first column
    rich_table.columns[0]._cells = [
        component.upper()  # type: ignore[union-attr]
        for component in rich_table.columns[0]._cells
    ]
    console.print(rich_table)

print_table(obj, **columns)

Prints the list of dicts in a table format.

The input object should be a List of Dicts. Each item in that list represent a line in the Table. Each dict should have the same keys. The keys of the dict will be used as headers of the resulting table.

Parameters:

Name Type Description Default
obj List[Dict[str, Any]]

A List containing dictionaries.

required
columns Column

Optional column configurations to be used in the table.

{}
Source code in zenml/cli/utils.py
def print_table(obj: List[Dict[str, Any]], **columns: table.Column) -> None:
    """Prints the list of dicts in a table format.

    The input object should be a List of Dicts. Each item in that list represent
    a line in the Table. Each dict should have the same keys. The keys of the
    dict will be used as headers of the resulting table.

    Args:
        obj: A List containing dictionaries.
        columns: Optional column configurations to be used in the table.
    """
    column_keys = {key: None for dict_ in obj for key in dict_}
    column_names = [columns.get(key, key.upper()) for key in column_keys]
    rich_table = table.Table(box=box.HEAVY_EDGE, show_lines=True)
    for col_name in column_names:
        if isinstance(col_name, str):
            rich_table.add_column(str(col_name), overflow="fold")
        else:
            rich_table.add_column(str(col_name.header).upper(), overflow="fold")
    for dict_ in obj:
        values = []
        for key in column_keys:
            if key is None:
                values.append(None)
            else:
                value = str(dict_.get(key) or " ")
                # escape text when square brackets are used
                if "[" in value:
                    value = escape(value)
                values.append(value)
        rich_table.add_row(*values)
    if len(rich_table.columns) > 1:
        rich_table.columns[0].justify = "center"
    console.print(rich_table)

title(text)

Echo a title formatted string on the CLI.

Parameters:

Name Type Description Default
text str

Input text string.

required
Source code in zenml/cli/utils.py
def title(text: str) -> None:
    """Echo a title formatted string on the CLI.

    Args:
        text: Input text string.
    """
    console.print(text.upper(), style=zenml_style_defaults["title"])

uninstall_package(package)

Uninstalls pypi package from the current environment with pip.

Parameters:

Name Type Description Default
package str

The package to uninstall.

required
Source code in zenml/cli/utils.py
def uninstall_package(package: str) -> None:
    """Uninstalls pypi package from the current environment with pip.

    Args:
        package: The package to uninstall.
    """
    subprocess.check_call(
        [
            sys.executable,
            "-m",
            "pip",
            "uninstall",
            "-qqq",
            "-y",
            package,
        ]
    )

warning(text, bold=None, italic=None)

Echo a warning string on the CLI.

Parameters:

Name Type Description Default
text str

Input text string.

required
bold Optional[bool]

Optional boolean to bold the text.

None
italic Optional[bool]

Optional boolean to italicize the text.

None
Source code in zenml/cli/utils.py
def warning(
    text: str,
    bold: Optional[bool] = None,
    italic: Optional[bool] = None,
) -> None:
    """Echo a warning string on the CLI.

    Args:
        text: Input text string.
        bold: Optional boolean to bold the text.
        italic: Optional boolean to italicize the text.
    """
    base_style = zenml_style_defaults["warning"]
    style = Style.chain(base_style, Style(bold=bold, italic=italic))
    console.print(text, style=style)