argh/decorators.py
def arg(*args, **kwargs):
    """
    Declares an argument for given function. Does not register the function
    anywhere, nor does it modify the function in any way.

    The signature of the decorator matches that of
    :meth:`argparse.ArgumentParser.add_argument`, only some keywords are not
    required if they can be easily guessed (e.g. you don't have to specify type
    or action when an `int` or `bool` default value is supplied).

    Typical use cases:

    - In combination with :func:`expects_obj` (which is not recommended);
    - in combination with ordinary function signatures to add details that
      cannot be expressed with that syntax (e.g. help message).

    Usage::

        from argh import arg

        @arg('path', help='path to the file to load')
        @arg('--format', choices=['yaml','json'])
        @arg('-v', '--verbosity', choices=range(0,3), default=2)
        def load(path, something=None, format='json', dry_run=False, verbosity=1):
            loaders = {'json': json.load, 'yaml': yaml.load}
            loader = loaders[args.format]
            data = loader(args.path)
            if not args.dry_run:
                if verbosity < 1:
                    print('saving to the database')
                put_to_database(data)

    In this example:

    - `path` declaration is extended with `help`;
    - `format` declaration is extended with `choices`;
    - `dry_run` declaration is not duplicated;
    - `verbosity` is extended with `choices` and the default value is
      overridden.  (If both function signature and `@arg` define a default
      value for an argument, `@arg` wins.)

    .. note::

        It is recommended to avoid using this decorator unless there's no way
        to tune the argument's behaviour or presentation using ordinary
        function signatures.  Readability counts, don't repeat yourself.

    """
    def wrapper(func):
        declared_args = getattr(func, ATTR_ARGS, [])
        # The innermost decorator is called first but appears last in the code.
        # We need to preserve the expected order of positional arguments, so
        # the outermost decorator inserts its value before the innermost's:
        declared_args.insert(0, dict(option_strings=args, **kwargs))
        setattr(func, ATTR_ARGS, declared_args)
        return func
    return wrapper
def arg(*args, **kwargs):
    def wrapper(func):
        declared_args = getattr(func, ATTR_ARGS, [])
        # The innermost decorator is called first but appears last in the code.
        # We need to preserve the expected order of positional arguments, so
        # the outermost decorator inserts its value before the innermost's:
        declared_args.insert(0, dict(option_strings=args, **kwargs))
        setattr(func, ATTR_ARGS, declared_args)
        return func
    return wrapper
def arg ( * args , * * kwargs ) : def wrapper ( func ) : declared_args = getattr ( func , ATTR_ARGS , [ ] ) # The innermost decorator is called first but appears last in the code. # We need to preserve the expected order of positional arguments, so # the outermost decorator inserts its value before the innermost's: declared_args . insert ( 0 , dict ( option_strings = args , * * kwargs ) ) setattr ( func , ATTR_ARGS , declared_args ) return func return wrapper
Declares an argument for given function. Does not register the function
    anywhere, nor does it modify the function in any way.

    The signature of the decorator matches that of
    :meth:`argparse.ArgumentParser.add_argument`, only some keywords are not
    required if they can be easily guessed (e.g. you don't have to specify type
    or action when an `int` or `bool` default value is supplied).

    Typical use cases:

    - In combination with :func:`expects_obj` (which is not recommended);
    - in combination with ordinary function signatures to add details that
      cannot be expressed with that syntax (e.g. help message).

    Usage::

        from argh import arg

        @arg('path', help='path to the file to load')
        @arg('--format', choices=['yaml','json'])
        @arg('-v', '--verbosity', choices=range(0,3), default=2)
        def load(path, something=None, format='json', dry_run=False, verbosity=1):
            loaders = {'json': json.load, 'yaml': yaml.load}
            loader = loaders[args.format]
            data = loader(args.path)
            if not args.dry_run:
                if verbosity < 1:
                    print('saving to the database')
                put_to_database(data)

    In this example:

    - `path` declaration is extended with `help`;
    - `format` declaration is extended with `choices`;
    - `dry_run` declaration is not duplicated;
    - `verbosity` is extended with `choices` and the default value is
      overridden.  (If both function signature and `@arg` define a default
      value for an argument, `@arg` wins.)

    .. note::

        It is recommended to avoid using this decorator unless there's no way
        to tune the argument's behaviour or presentation using ordinary
        function signatures.  Readability counts, don't repeat yourself.
Declares an argument for given function . Does not register the function anywhere nor does it modify the function in any way .