mapping

Parses Mapping Pydantic Fields to Command-Line Arguments.

The mapping module contains the should_parse function, which checks whether this module should be used to parse the field, as well as the parse_field function, which parses mapping pydantic model fields to ArgumentParser command-line arguments.

should_parse(field)

Checks whether the field should be parsed as a mapping.

Parameters:

Name	Type	Description	Default
field	pydantic.fields.ModelField	Field to check.	required

Returns:

Type	Description
bool	Whether the field should be parsed as a mapping.

Source code in pydantic_argparse/parsers/mapping.py

def should_parse(field: pydantic.fields.ModelField) -> bool:
    """Checks whether the field should be parsed as a `mapping`.

    Args:
        field (pydantic.fields.ModelField): Field to check.

    Returns:
        bool: Whether the field should be parsed as a `mapping`.
    """
    # Check and Return
    return utils.types.is_field_a(field, collections.abc.Mapping)

parse_field(parser, field)

Adds mapping pydantic field to argument parser.

Parameters:

Name	Type	Description	Default
parser	argparse.ArgumentParser	Argument parser to add to.	required
field	pydantic.fields.ModelField	Field to be added to parser.	required

Returns:

Type	Description
Optional[utils.pydantic.PydanticValidator]	Possible validator method.

Source code in pydantic_argparse/parsers/mapping.py

def parse_field(
    parser: argparse.ArgumentParser,
    field: pydantic.fields.ModelField,
) -> Optional[utils.pydantic.PydanticValidator]:
    """Adds mapping pydantic field to argument parser.

    Args:
        parser (argparse.ArgumentParser): Argument parser to add to.
        field (pydantic.fields.ModelField): Field to be added to parser.

    Returns:
        Optional[utils.pydantic.PydanticValidator]: Possible validator method.
    """
    # Add Mapping Field
    parser.add_argument(
        utils.arguments.name(field),
        action=argparse._StoreAction,
        help=utils.arguments.description(field),
        dest=field.alias,
        metavar=field.alias.upper(),
        required=bool(field.required),
    )

    # Construct and Return Validator
    return utils.pydantic.as_validator(field, lambda v: ast.literal_eval(v))