Constants

zenml.constants

ZenML constants.

handle_bool_env_var(var, default=False)

Converts normal env var to boolean.

Parameters:

Name	Type	Description	Default
var	str	The environment variable to convert.	required
default	bool	The default value to return if the env var is not set.	False

Returns:

Type	Description
bool	The converted value.

Source code in zenml/constants.py

def handle_bool_env_var(var: str, default: bool = False) -> bool:
    """Converts normal env var to boolean.

    Args:
        var: The environment variable to convert.
        default: The default value to return if the env var is not set.

    Returns:
        The converted value.
    """
    value = os.getenv(var)
    if is_true_string_value(value):
        return True
    elif is_false_string_value(value):
        return False
    return default

handle_int_env_var(var, default=0)

Converts normal env var to int.

Parameters:

Name	Type	Description	Default
var	str	The environment variable to convert.	required
default	int	The default value to return if the env var is not set.	0

Returns:

Type	Description
int	The converted value.

Source code in zenml/constants.py

def handle_int_env_var(var: str, default: int = 0) -> int:
    """Converts normal env var to int.

    Args:
        var: The environment variable to convert.
        default: The default value to return if the env var is not set.

    Returns:
        The converted value.
    """
    value = os.getenv(var, "")
    try:
        return int(value)
    except (ValueError, TypeError):
        return default

handle_json_env_var(var, expected_type, default=None)

Converts a json env var into a Python object.

Parameters:

Name	Type	Description	Default
var	str	The environment variable to convert.	required
default	Optional[List[str]]	The default value to return if the env var is not set.	None
expected_type	Type[~T]	The type of the expected Python object.	required

Returns:

Type	Description
Any	The converted list value.

Exceptions:

Type	Description
TypeError	In case the value of the environment variable is not of a valid type.

Source code in zenml/constants.py

def handle_json_env_var(
    var: str,
    expected_type: Type[T],
    default: Optional[List[str]] = None,
) -> Any:
    """Converts a json env var into a Python object.

    Args:
        var:  The environment variable to convert.
        default: The default value to return if the env var is not set.
        expected_type: The type of the expected Python object.

    Returns:
        The converted list value.

    Raises:
        TypeError: In case the value of the environment variable is not of a
                   valid type.

    """
    # this needs to be here to avoid mutable defaults
    if default is None:
        default = []

    value = os.getenv(var)
    if value:
        try:
            loaded_value = json.loads(value)
            # check if loaded value is of correct type
            if expected_type is None or isinstance(
                loaded_value, expected_type
            ):
                return loaded_value
            else:
                raise TypeError  # if not correct type, raise TypeError
        except (TypeError, json.JSONDecodeError):
            # Use raw logging to avoid cyclic dependency
            logging.warning(
                f"Environment Variable {var} could not be loaded, into type "
                f"{expected_type}, defaulting to: {default}."
            )
            return default
    else:
        return default

is_false_string_value(value)

Checks if the given value is a string representation of 'False'.

Parameters:

Name	Type	Description	Default
value	Any	the value to check.	required

Returns:

Type	Description
bool	Whether the input value represents a string version of 'False'.

Source code in zenml/constants.py

def is_false_string_value(value: Any) -> bool:
    """Checks if the given value is a string representation of 'False'.

    Args:
        value: the value to check.

    Returns:
        Whether the input value represents a string version of 'False'.
    """
    return value in ["0", "n", "no", "False", "false"]

is_true_string_value(value)

Checks if the given value is a string representation of 'True'.

Parameters:

Name	Type	Description	Default
value	Any	the value to check.	required

Returns:

Type	Description
bool	Whether the input value represents a string version of 'True'.

Source code in zenml/constants.py

def is_true_string_value(value: Any) -> bool:
    """Checks if the given value is a string representation of 'True'.

    Args:
        value: the value to check.

    Returns:
        Whether the input value represents a string version of 'True'.
    """
    return value in ["1", "y", "yes", "True", "true"]