corgy

corgy.Corgy #

Base class for collections of attributes.

To use, subclass Corgy, and declare attributes using type annotations.

Examples:

>>> from corgy import Corgy
>>> class A(Corgy):
...     x: int
...     y: float

At runtime, class A will have x, and y as properties, so that the class can be used similar to Python dataclasses.

Examples:

>>> a = A()
>>> a.x = 1
>>> a.x
1

>>> a.y
Traceback (most recent call last):
   ...
AttributeError: no value available for attribute `y`

>>> a.y = a.x + 1.1
>>> a.y
2.1

>>> del a.x  # unset x
>>> a.x
Traceback (most recent call last):
   ...
AttributeError: no value available for attribute `x`

Note

The class's __init__ method only accepts keyword arguments, and ignores arguments without a corresponding attribute. The following are all valid.

Examples:

>>> A(x=1, y=2.1)
A(x=1, y=2.1)

>>> A(x=1, z=3)  # y is not set, and z is ignored
A(x=1)

>>> A(**{"x": 1, "y": 2.1, "z": 3})
A(x=1, y=2.1)

Attribute values are type-checked, and ValueError is raised on type mismatch.

Examples:

>>> a = A(x="1")
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'int'>': '1'

>>> a = A()
>>> a.x = "1"
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'int'>': '1'

>>> class A(Corgy):
...     x: int = "1"
Traceback (most recent call last):
    ...
ValueError: default value type mismatch for 'x'

Any type which supports type checking with isinstance can be used as an attribute type (along with some special type annotations that are discussed below). This includes other corgy classes.

Examples:

>>> class A(Corgy):
...     x: int
...     y: float
>>> class B(Corgy):
...     x: int
...     a: A
>>> b = B(x=1)
>>> b.a = A()
>>> b.a.x = 10
>>> b
B(x=1, a=A(x=10))

Corgy classes have their __slots__ set to the annotated attributes. So, if you want to use additional attributes not tracked by Corgy, define them (and only them) in __slots__.

Examples:

>>> class A(Corgy):
...     __slots__ = ("x",)
...     y: int
>>> a = A()
>>> a.y = 1  # `Corgy` attribute
>>> a.x = 2  # custom attribute
>>> a
A(y=1)

To allow arbitrary instance attributes, add __dict__ to __slots__. Names added through custom __slots__ are not processed by Corgy. Alternatively, to disable setting __slots__ completely, set corgy_make_slots to False in the class definition.

Examples:

>>> class A(Corgy, corgy_make_slots=False):
...     y: int
>>> a = A()
>>> a.y = 1  # `Corgy` attribute
>>> a.x = 2  # custom attribute
>>> a
A(y=1)

Names marked with the ClassVar type will be added as class variables, and will not be available as Corgy attributes.

Examples:

>>> from typing import ClassVar
>>> class A(Corgy):
...     x: ClassVar[int] = 3
>>> A.x
3

>>> A.x = 4
>>> A.x
4

>>> a = A()
>>> a.x
4

>>> a.x = 5
Traceback (most recent call last):
    ...
AttributeError: 'A' object attribute 'x' is read-only

Note

Class variables need to be assigned to a value during definition, and this value will not be type checked by Corgy.

Inheritance works as expected, whether base classes are themselves Corgy classes or not, with sub-classes inheriting the attributes of the base class, and overriding any redefined attributes.

Examples:

>>> class A:
...     x: int
>>> class B(Corgy, A):
...     y: float = 1.0
...     z: str
>>> class C(B):
...     y: float = 2.0
...     z: str
...     w: float
>>> c = C()
>>> print(c)
C(x=<unset>, y=2.0, z=<unset>, w=<unset>)

Tracking of base class attributes can be disabled by setting corgy_track_bases to False in the class definition. Properties will still be inherited following standard inheritance rules, but Corgy will ignore them.

Examples:

>>> class A:
...     x: int
>>> class B(Corgy, A, corgy_track_bases=False):
...     y: float = 1.0
...     z: str
>>> b = B()
>>> print(b)
B(y=1.0, z=<unset>)

Corgy instances can be frozen (preventing any further changes) using the freeze method. This method can be called automatically after __init__ by by setting corgy_freeze_after_init to True in the class definition.

Examples:

>>> class A(Corgy, corgy_freeze_after_init=True):
...    x: int
>>> a = A(x=1)
>>> a.x = 2
Traceback (most recent call last):
    ...
TypeError: cannot set `x`: object is frozen

Corgy recognizes a number of special annotations, which are used to control how attribute values are processed.

Note

If any of the following annotations are unavailable in the Python version being used, you can import them from typing_extensions (which is available on PyPI).

Annotations typing.Annotated can be used to add additional metadata to attributes, akin to doc strings. It is primarily used to control how attributes are added to ArgumentParser instances. typing.Annotated is stripped on class creation, leaving only the base type.

Examples:

>>> import sys
>>> if sys.version_info >= (3, 9):
...     from typing import Annotated, Literal
... else:
...     from typing_extensions import Annotated, Literal
>>> class A(Corgy):
...     x: Annotated[int, "this is x"]
>>> A.attrs()
{'x': <class 'int'>}

Annotated should always be the outermost type annotation for an attribute. Refer to the docs for Corgy.add_args_to_parser for details on usage.

Required/NotRequired By default, Corgy attributes are not required, and can be unset. This can be changed by setting corgy_required_by_default to True in the class definition.

Examples:

>>> class A(Corgy, corgy_required_by_default=True):
...     x: int
>>> A()
Traceback (most recent call last):
    ...
ValueError: missing required attribute: `x`

>>> a = A(x=1)
>>> del a.x
Traceback (most recent call last):
    ...
TypeError: attribute `x` cannot be unset

Attributes can also explicitly be marked as required/not-required using corgy.Required and corgy.NotRequired annotations.

Examples:

>>> from corgy import Required, NotRequired
>>> class A(Corgy):
...     x: Required[int]
...     y: NotRequired[int]
...     z: int  # not required by default
>>> a = A(x=1)
>>> print(a)
A(x=1, y=<unset>, z=<unset>)

>>> class B(Corgy, corgy_required_by_default=True):
...     x: Required[int]
...     y: NotRequired[int]
...     z: int
>>> b = B(x=1, z=2)
>>> print(b)
B(x=1, y=<unset>, z=2)

Optional Annotating an attribute with typing.Optional allows it to be None.

Examples:

>>> from typing import Optional
>>> class A(Corgy):
...     x: Optional[int]
>>> a = A()
>>> a.x = None

In Python >= 3.10, instead of using typing.Annotated, | None can be used, i.e., x: int | None for example.

Note

Optional is not the same as NotRequired. Optional allows an attribute to be None, while NotRequired allows an attribute to be unset. A Required Optional attribute will need a value (which can be None).

Examples:

>>> class A(Corgy):
...     x: Required[Optional[int]]
>>> A()
Traceback (most recent call last):
    ...
ValueError: missing required attribute: `x`

>>> a = A(x=None)
>>> print(a)
A(x=None)

Collections Several collection types can be used to annotate attributes, which will restrict the type of accepted values. Values in the collection will be checked to ensure that they match the annotated collection types. The following collection types are supported:

collections.abc.Sequence (typing.Sequence on Python < 3.9)
tuple (typing.Tuple on Python < 3.9)
list (typing.List on Python < 3.9)
set (typing.Set on Python < 3.9)

There are a few different ways to use these types, each resulting in different validation conditions. The simplest case is a plain (possibly empty) collection of a single type.

Examples:

>>> from typing import List, Sequence, Set, Tuple
>>> class A(Corgy):
...     x: Sequence[int]
...     y: Tuple[str]
...     z: Set[float]
...     w: List[int]
>>> a = A()
>>> a.x = [1, 2]
>>> a.y = ("1", "2")
>>> a.z = {1.0, 2.0}
>>> a.w = [1, 2]
>>> a
A(x=[1, 2], y=('1', '2'), z={1.0, 2.0}, w=[1, 2])

>>> a.x = [1, "2"]
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'int'>': '2'

>>> a.x = (1, 2)      # `Sequence` accepts any sequence type

>>> # `Tuple` only accepts tuples
>>> a.y = ["1", "2"]
Traceback (most recent call last):
    ...
ValueError: error setting `y`: invalid value for type 'typing.Tuple[str]':
['1', '2']

The collection length can be controlled by the arguments of the type annotation.

Note

typing.Sequence/typing.List/typing.Set do not accept multiple arguments, and so, cannot be used if collection length has to be specified. On Python < 3.9, only typing.Tuple can be used to control collection lengths.

To specify that a collection must be non-empty, use ellipsis (...) as the second argument of the type.

Examples:

>>> class A(Corgy):
...     x: Tuple[int, ...]
>>> a = A()
>>> a.x = tuple()
Traceback (most recent call last):
    ...
ValueError: error setting `x`: expected non-empty collection for type
'typing.Tuple[int, ...]'

Collections can also be restricted to be of a fixed length.

Examples:

>>> class A(Corgy):
...     x: Tuple[int, str]
...     y: Tuple[int, int, int]
>>> a = A()
>>> a.x = (1, 1)
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'str'>': 1

>>> a.y = (1, 1)
Traceback (most recent call last):
    ...
ValueError: error setting `y`: invalid value for type
'typing.Tuple[int, int, int]': (1, 1): expected exactly '3' elements

Literals typing.Literal can be used to specify that an attribute takes one of a fixed set of values.

Examples:

>>> class A(Corgy):
...     x: Literal[0, 1, "2"]
>>> a = A()
>>> a.x = 0
>>> a.x = "2"
>>> a.x = "1"
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type
'typing.Literal[0, 1, '2']': '1'

Type annotations can be nested; for instance, Sequence[Literal[0, 1, 2], Literal[0, 1, 2]] represents a sequence of length 2, where each element is either 0, 1, or 2.

A fixed set of attribute values can also be specified by adding a __choices__ attribute to the argument type, containing a collection of choices.

Examples:

>>> class T(int):
...     __choices__ = (1, 2)
>>> class A(Corgy):
...     x: T
>>> a = A()
>>> a.x = 1
>>> a.x = 3
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'T'>': 3:
expected one of: (1, 2)

Note

Choices specified in this way are not type-checked to ensure that they match the argument type; in the above example, __choices__ could be set to (1, "2").

Self Corgy classes can have attributes of their own type, annotated using typing.Self.

Examples:

>>> if sys.version_info >= (3, 11):
...     from typing import Self
... else:
...     from typing_extensions import Self
>>> class C(Corgy):
...     x: int
...     c: Self
>>> c = C(x=1)
>>> c.c = C(x=2)
>>> c
C(x=1, c=C(x=2))

>>> class D(C):
...     ...
>>> c.c = D(x=3)
Traceback (most recent call last):
    ...
ValueError: error setting `c`: invalid value for type 'Self (bound to
<class 'C'>)': D(x=3)

add_args_to_parser `classmethod` #

add_args_to_parser(parser, name_prefix='', flatten_subgrps=False, defaults=None)

Add the class' Corgy attributes to the given parser.

Parameters:

Name	Type	Description	Default
`parser`	`_ActionsContainer`	Argument parser/group to which the attributes will be added.	required
`name_prefix`	`str`	Prefix for argument names. Arguments will be named `--<name-prefix>:<attr-name>`. If custom flags are present, `--<name-prefix>:<flag>` will be used instead (one for each flag).	`''`
`flatten_subgrps`	`bool`	Whether to add sub-groups to the main parser instead of creating argument groups. Note that sub-sub-groups are always added with this argument set to `True`, since `argparse` in unable to properly display nested group arguments.	`False`
`defaults`	`Optional[Mapping[str, Any]]`	Optional mapping with default values for arguments. Any value specified here will override default values specified in the class. Values for groups can be specified either as `Corgy` instances, or as individual values using the same syntax as for `Corgy.from_dict`.	`None`

Type annotations control how attributes are added to the parser. A number of special annotations are parsed and stripped from attribute types to determine the parameters for calling ArgumentParser.add_argument. These special annotations are described below.

Note

add_args_to_parser cannot be used if the type annotation for any attribute of the class includes Self, unless a custom parser is defined for such attributes. See docs for corgyparser on how to define custom parsers.

Annotated typing.Annotated can be used to add a help message for the argument.

Examples:

>>> import argparse
>>> from argparse import ArgumentParser
>>> from corgy import CorgyHelpFormatter
>>> class A(Corgy):
...     x: Annotated[int, "help for x"]
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
options:
  --x int  help for x (optional)

This annotation can also be used to modify the parser flags for the argument. By default, the attribute name is used, prefixed with --, and with _ replaced by -. If the custom flag does not have a leading -, a positional argument will be created.

Examples:

>>> class A(Corgy):
...     x: Annotated[int, "help for x", ["-x", "--ex"]]
...     y: Annotated[int, "help for y", ["y"]]
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
positional arguments:
  y int        help for y

options:
  -x/--ex int  help for x (optional)

Annotated can accept multiple arguments, but only the first three are used by Corgy. The first argument is the attribute type, the second is the help message (which must be a string), and the third is a sequence of flags.

Required/NotRequired Every corgy attribute is either required or not required. The default status depends on the class parameter corgy_required_by_default (False by default). Attributes can also be explicitly marked as required or not required, and will control whether the argument will be added with required=True.

Examples:

>>> from corgy import Required, NotRequired
>>> class A(Corgy):
...     x: Required[int]
...     y: NotRequired[int]
...     z: int
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
options:
  --x int  (required)
  --y int  (optional)
  --z int  (optional)

Attributes which are not required, and don't have a default value are added with default=argparse.SUPPRESS, and so will not be in the parsed namespace.

Examples:

>>> parser.parse_args(["--x", "1", "--y", "2"])
Namespace(x=1, y=2)

Optional Attributes marked with typing.Optional are allowed to be None. The arguments for these attributes can be passed with no values (i.e. --x instead of --x=1 or --x 1) to indicate that the value should be None.

Note

Attributes with default values are also "optional" in the sense that they can be omitted from the command line. However, they are not the same as attributes marked with Optional, since the former are not allowed to be None. Furthermore, Required Optional attributes without default values will need to be passed on the command line (possibly with no values).

Examples:

>>> class A(Corgy):
...     x: Required[Optional[int]]
>>> parser = ArgumentParser()
>>> A.add_args_to_parser(parser)
>>> parser.parse_args(["--x"])
Namespace(x=None)

Boolean bool types (when not in a collection) are converted to a pair of options.

Examples:

>>> class A(Corgy):
...     arg: bool
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
options:
  --arg/--no-arg

Collection Collection types are added to the parser by setting nargs. The value for nargs is determined by the collection type. Plain collections, such as Sequence[int], will be added with nargs=*; Non-empty collections, such as Sequence[int, ...], will be added with nargs=+; Finally, fixed-length collections, such as Sequence[int, int, int], will be added with nargs set to the length of the collection.

In all cases, collection types can only be added to a parser if they are single type. Heterogenous collections, such as Sequence[int, str] cannot be added, and will raise ValueError. Untyped collections (e.g., x: Sequence), also cannot be added.

Arguments for optional collections will also accept no values to indicate None. Due to this, it is not possible to parse an empty collection for an optional collection argument.

Examples:

>>> class A(Corgy):
...     x: Optional[Sequence[int]]
...     y: Sequence[int]
>>> parser = ArgumentParser()
>>> A.add_args_to_parser(parser)
>>> parser.parse_args(["--x", "--y"])
Namespace(x=None, y=[])

Enum Enum types work as expected; the members of the enum are passed to the choices argument of ArgumentParser.add_argument.

Examples:

>>> from enum import Enum
>>> class Color(Enum):
...     RED = 1
...     GREEN = 2
...     BLUE = 3
>>> class A(Corgy):
...     x: Color
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
options:
  --x Color  ({RED/GREEN/BLUE} optional)

Literal For Literal types, the provided values are passed to the choices argument of ArgumentParser.add_argument. All values must be of the same type, which will be inferred from the type of the first value. If the first value has a __bases__ attribute, the type will be inferred as the first base type, and all other choices must be subclasses of that type.

Examples:

>>> class T: ...
>>> class T1(T): ...
>>> class T2(T): ...
>>> class A(Corgy):
...     x: Literal[T1, T2]
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
options:
  --x T  ({T1/T2} optional)

For types which specify choices by defining __choices__, the values are passed to the choices argument as with Literal, but no type inference is performed, and the base attribute type will be used as the argument type.

Single-value Literals A special case for Literal types is when there is only one choice. In this case, the argument is added as a store_const action, with the value as the const argument. A further special case is when the choice is True/False, in which case the action is store_true/store_false respectively.

Examples:

>>> class A(Corgy):
...     x: Literal[True]
...     y: Literal[False]
...     z: Literal[42]
>>> parser = ArgumentParser()
>>> A.add_args_to_parser(parser)
>>> parser.parse_args(["--x"])  # Note that `y` and `z` are absent
Namespace(x=True)

>>> parser.parse_args(["--y"])
Namespace(y=False)

>>> parser.parse_args(["--z"])
Namespace(z=42)

Note

This special case only applies to Literal types, and not types which define __choices__.

Corgy Attributes which are themselves Corgy types are treated as argument groups. Group arguments are added to the command line parser with the group attribute name prefixed.

Note

Groups will ignore any custom flags when computing the prefix; elements within the group will use custom flags, but because they are prefixed with --, they will not be positional.

Examples:

>>> class G(Corgy):
...     x: int = 0
...     y: float
>>> class A(Corgy):
...     x: int
...     g: G
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.print_help()
options:
  --x int      (optional)

g:
  --g:x int    (default: 0)
  --g:y float  (optional)

Custom parsers

Attributes for which a custom parser is defined using @corgyparser will be added with a custom action that will call the parser. Refer to the documentation for corgyparser for details.

Metavar

This function will not explicitly pass a value for the metavar argument of ArgumentParser.add_argument, unless an attribute's type defines __metavar__, in which case, it will be passed as is. To change the metavar for attributes with custom parsers, set the metavar argument of corgyparser.

as_dict #

as_dict(recursive=True, flatten=False)

Return the object as a dictionary.

The returned dictionary maps attribute names to their values. Unset attributes are omitted, unless they have default values.

Parameters:

Name	Type	Description	Default
`recursive`	`bool`	whether to recursively call `as_dict` on attributes which are `Corgy` instances. Otherwise, they are returned as is.	`True`
`flatten`	`bool`	whether to flatten group arguments into `:` separated strings. Only takes effect if `recursive` is `True`.	`False`

Examples:

>>> class G(Corgy):
...     x: int
>>> g = G(x=1)
>>> g.as_dict()
{'x': 1}

>>> class A(Corgy):
...     x: str
...     g: G
>>> a = A(x="one", g=g)
>>> a.as_dict(recursive=False)
{'x': 'one', 'g': G(x=1)}

>>> a.as_dict()
{'x': 'one', 'g': {'x': 1}}

>>> a.as_dict(flatten=True)
{'x': 'one', 'g:x': 1}

attrs `classmethod` #

attrs()

Return a dictionary mapping attributes of the class to their types.

Examples:

>>> class A(Corgy):
...     x: Annotated[int, "x"]
...     y: Sequence[str]
>>> A.attrs()
{'x': <class 'int'>, 'y': typing.Sequence[str]}

freeze #

freeze()

Freeze the object, preventing any further changes to attributes.

Examples:

>>> class A(Corgy):
...     x: int
...     y: int
>>> a = A(x=1, y=2)
>>> a.x = 2
>>> a.freeze()
>>> a.x = 3
Traceback (most recent call last):
    ...
TypeError: cannot set `x`: object is frozen

>>> del a.y
Traceback (most recent call last):
    ...
TypeError: cannot delete `y`: object is frozen

from_dict `classmethod` #

from_dict(d, try_cast=False)

Return a new instance of the class using a dictionary.

This is roughly equivalent to cls(**d), with the main exception being that groups can be specified as dictionaries themselves, and will be processed recursively.

Parameters:

Name	Type	Description	Default
`d`	`Mapping[str, Any]`	Dictionary to create the instance from.	required
`try_cast`	`bool`	Whether to try and cast values which don't match attribute types.	`False`

Examples:

>>> class G(Corgy):
...     x: int
>>> class A(Corgy):
...     x: str
...     g: G
>>> A.from_dict({"x": "one", "g": G(x=1)})
A(x='one', g=G(x=1))

>>> A.from_dict({"x": "one", "g": {"x": 1}})
A(x='one', g=G(x=1))

>>> A.from_dict({"x": "one", "g": {"x": "1"}}, try_cast=True)
A(x='one', g=G(x=1))

>>> G.from_dict({"x": "1"})
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'int'>': '1'

Group attributes can also be passed directly in the dictionary by prefixing their names with the group name and a colon.

Examples:

>>> A.from_dict({"x": "one", "g:x": 1})
A(x='one', g=G(x=1))

>>> class B(Corgy):
...     x: float
...     a: A
>>> B.from_dict({"x": 1.1, "a:x": "one", "a:g:x": 1})
B(x=1.1, a=A(x='one', g=G(x=1)))

is_attr_set #

is_attr_set(attr_name)

Check if a Corgy attribute is set.

Parameters:

Name	Type	Description	Default
`attr_name`	`str`	Name of the attribute to check.	required

Raises:

Type	Description
`AttributeError`	if the attribute is not a `Corgy` attribute.

load_dict #

load_dict(d, try_cast=False, strict=False)

Load a dictionary into an instance of the class.

Previous attributes are overwritten. Sub-dictionaries will be parsed recursively if the corresponding attribute already exists, else will be parsed using from_dict. As with from_dict, items in the dictionary without corresponding attributes are ignored.

Parameters:

Name	Type	Description	Default
`d`	`Dict[str, Any]`	Dictionary to load.	required
`try_cast`	`bool`	Whether to try and cast values which don't match attribute types.	`False`
`strict`	`bool`	If `True`, attributes with existing values that are not in the dictionary will be unset.	`False`

Examples:

>>> class A(Corgy):
...     x: int
...     y: str
>>> a = A(x=1)
>>> _i = id(a)
>>> a.load_dict({"y": "two"})
>>> a
A(x=1, y='two')
>>> _i == id(a)
True

>>> a.load_dict({"y": "three"}, strict=True)
>>> a
A(y='three')
>>> _i == id(a)
True

>>> a = A()
>>> a.load_dict({"x": "1"})
Traceback (most recent call last):
    ...
ValueError: error setting `x`: invalid value for type '<class 'int'>': '1'

>>> a.load_dict({"x": "1"}, try_cast=True)
>>> a
A(x=1)

parse_from_cmdline `classmethod` #

parse_from_cmdline(parser=None, defaults=None, **parser_args)

Return an instance of the class parsed from command line arguments.

Parameters:

Name	Type	Description	Default
`parser`	`Optional[ArgumentParser]`	An instance of `argparse.ArgumentParser` or `None`. If `None`, a new instance is created.	`None`
`defaults`	`Optional[Mapping[str, Any]]`	A dictionary of default values for the attributes, passed to `add_args_to_parser`. Refer to the docs for `add_args_to_parser` for more details.	`None`
`parser_args`		Arguments to be passed to `argparse.ArgumentParser()`. Ignored if `parser` is not None.	`{}`

Raises:

Type	Description
`ArgumentTypeError`	Error parsing command line arguments.

parse_from_toml `classmethod` #

parse_from_toml(toml_file, defaults=None)

Parse an object of the class from a toml file.

Parameters:

Name	Type	Description	Default
`toml_file`	`IO[bytes]`	A file-like object containing the class attributes in toml.	required
`defaults`	`Optional[Mapping[str, Any]]`	A dictionary of default values, overriding any values specified in the class.	`None`

Raises:

Type	Description
`TOMLDecodeError`	Error parsing the toml file.

Examples:

>>> from io import BytesIO
>>> class G(Corgy):
...     x: int
...     y: Sequence[int]
>>> class A(Corgy):
...     x: str
...     g: G
>>> f = BytesIO(b'''
...     x = 'one'
...     [g]
...     x = 1
...     y = [1, 2, 3]
... ''')
>>> A.parse_from_toml(f)
A(x='one', g=G(x=1, y=[1, 2, 3]))

corgy.corgyparser #

corgy.corgyparser(*var_names, metavar=None, nargs=None)

Decorate a function as a custom parser for one or more attributes.

To use a custom function for parsing a Corgy attribute, use this decorator. Parsing functions must be static, and should only accept a single argument. Decorating the function with @staticmethod is optional, but prevents type errors. @corgyparser must be the final decorator in the decorator chain.

Parameters:

Name	Type	Description	Default
`var_names`	`str`	The attributes associated with the decorated parser.	`()`
`metavar`	`Optional[str]`	Keyword only argument to set the metavar when adding the associated attribute(s) to an `ArgumentParser` instance.	`None`
`nargs`	`Union[None, Literal['*', '+'], int]`	Keyword only argument to set the number of arguments to be used for the associated attribute(s). Must be `None`, `'*'`, `'+'`, or a positive number. This value is passed as the `nargs` argument to `ArgumentParser.add_argument`, and controls the number of arguments that will be read from the command line, and passed to the parsing function. For all values other than `None`, the parsing function will receive a list of strings.	`None`

Examples:

>>> import argparse
>>> from argparse import ArgumentParser
>>> from typing import Tuple
>>> from corgy import Corgy, CorgyHelpFormatter, corgyparser
>>> class A(Corgy):
...     time: Tuple[int, int, int]
...     @corgyparser("time", metavar="int:int:int")
...     @staticmethod
...     def parse_time(s):
...         return tuple(map(int, s.split(":")))
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.parse_args(["--time", "1:2:3"])
Namespace(time=(1, 2, 3))

Multiple arguments can be passed to the decorator, and will all be associated with the same parser.

Examples:

>>> class A(Corgy):
...     x: int
...     y: int
...     @corgyparser("x", "y")
...     @staticmethod
...     def parse_x_y(s):
...         return int(s)

The @corgyparser decorator can also be chained to use the same parser for multiple arguments.

Examples:

>>> class A(Corgy):
...     x: int
...     y: int
...     @corgyparser("x")
...     @corgyparser("y")
...     @staticmethod
...     def parse_x_y(s):
...         return int(s)

Note

When chaining, the outer-most non-None value of metavar will be used.

Custom parsers can control the number of arguments they receive, independent of the argument type.

Examples:

>>> class A(Corgy):
...     x: int
...     @corgyparser("x", nargs=3)
...     @staticmethod
...     def parse_x(s):
...         # `s` will be a list of 3 strings.
...         return sum(map(int, s))
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> A.add_args_to_parser(parser)
>>> parser.parse_args(["--x", "1", "2", "3"])
Namespace(x=6)

When chaining, nargs must be the same for all decorators, otherwise TypeError is raised.

corgy.corgychecker #

corgy.corgychecker(*var_names)

Decorate a function as a custom checker for one or more attributes.

To use a custom function for checking the value of a Corgy attribute, use this decorator. Checking functions must be static, and should only accept a single argument, the value to be checked. They should raise ValueError to indicate value mismatch. Decorating the function with @staticmethod is optional, but prevents type errors. @corgychecker must be the final decorator in the decorator chain.

Custom checkers are called after type checking, so the values passed to them will be of type corresponding to one of the assigned attributes.

Parameters:

Name	Type	Description	Default
`var_names`	`str`	The attributes associated with the decorated checker.	`()`

Examples:

>>> from corgy import Corgy, corgychecker
>>> class A(Corgy):
...     x: int
...     @corgychecker("x")
...     @staticmethod
...     def check_x(val):
...         if val % 2:
...             raise ValueError(f"'{val}' is not even")
>>> a = A()
>>> a.x = 2
>>> a.x = 3
Traceback (most recent call last):
   ...
ValueError: error setting `x`: '3' is not even

Multiple attributes can use the same checker, either by chaining corgychecker, or by passing all attribute names directly.

Examples:

>>> from typing import Sequence
>>> class A(Corgy):
...     x: int
...     y: float
...     z: str
...     w: Sequence[int]
...     @corgychecker("x")
...     @corgychecker("y")
...     def check_num(val):
...         if val < 0:
...             raise ValueError("should be non-negative")
...     @corgychecker("z", "w")
...     def check_seq(val):
...         if len(val) > 10:
...             raise ValueError("too long")

corgy.CorgyHelpFormatter #

Bases: HelpFormatter

Formatter class for argparse with a cleaner layout, and support for colors.

Corgy.parse_from_cmdline uses this formatter by default, unless a different formatter_class argument is provided. CorgyHelpFormatter can also be used independently of Corgy. Simply pass it as the formatter_class argument to argparse.ArgumentParser().

Examples:

>>> import argparse
>>> from argparse import ArgumentParser
>>> from corgy import CorgyHelpFormatter
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     usage=argparse.SUPPRESS,
... )
>>> _ = parser.add_argument("--x", type=int, required=True)
>>> _ = parser.add_argument("--y", type=str, nargs="*", required=True)
>>> parser.print_help()
options:
  -h/--help      show this help message and exit
  --x int        (required)
  --y [str ...]  (required)

To configure CorgyHelpFormatter, you can set a number of attributes on the class.

Note

You do not need to create an instance of the class; that is done by the parser itself. The following public attributes are available:

Color-related attributes:

enable_colors: If None (the default), colors are enabled if the crayons package is available, and the output is a tty. To explicitly enable or disable colors, set to True or False.
color_<choices/keywords/metavars/defaults/options>: These attributes control the colors used for various parts of the output (see below for reference). Available colors are red, green, yellow, blue, black, magenta, cyan, and white. Specifying the name in all caps will make the color bold. You can also use the special value BOLD to make the output bold without changing the color. The default value are blue for choices, green for keywords, RED for metavars, YELLOW for defaults, and BOLD for options. Format::
```
 -a/--arg str       help for arg ({'a'/'b'/'c'} default: 'a')
   |      |                          |            |      |
 options  metavars                 choices      keywords defaults
```

Layout-related attributes:

output_width: The number of columns used for the output. If None (the default), the current terminal width is used.
max_help_position: How far to the right (from the start), the help string can start from. If None, there is no limit. The default is to use half the current terminal width.

Marker-related attributes:

marker_extras_<begin/end>: The strings used to enclose the extra help text (choices, default values etc.). The defaults are ( and ).
marker_choices_<begin/end>: The strings used to enclose the list of choices for an argument. The defaults are { and }.
marker_choices_sep: The string used to separate individual choices in the choice list. The default is /.

Misc. attributes:

show_full_help: Whether to show the full help, including choices, indicators for required arguments, and the usage string. The default is True.

Formatting of individual arguments can be customized with magic attributes defined on the argument type. The following attributes are recognized:

__metavar__: This can be set to a string on the argument type to override the default metavar.

Examples:

>>> class T:
...     __metavar__ = "METAVAR"
>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> _ = parser.add_argument("--arg", type=T)
>>> parser.print_help()
options:
  --arg METAVAR  (default: None)

using_colors `property` #

using_colors: bool

Whether colors are enabled.

FullHelpAction #

Bases: Action

argparse.Action that displays the full help, and exits.

ShortHelpAction #

Bases: Action

argparse.Action that displays the short help, and exits.

add_short_full_helps `classmethod` #

add_short_full_helps(parser, short_help_flags=('-h', '--help'), full_help_flags=('--helpfull'), short_help_msg='show help message and exit', full_help_msg='show full help message and exit')

Add arguments for displaying the short or full help.

The parser must be created with add_help=False to prevent a clash with the added arguments.

Parameters:

Name	Type	Description	Default
`parser`	`ArgumentParser`	`ArgumentParser` instance to add the arguments to.	required
`short_help_flags`	`Sequence[str]`	Sequence of argument strings for the short help option. Default is `("-h", "--help")`.	`('-h', '--help')`
`full_help_flags`	`Sequence[str]`	Sequence of argument strings for the full help option. Default is `("--helpfull")`.	`('--helpfull')`
`short_help_msg`	`str`	String to describe the short help option. Default is `"show help message and exit"`.	`'show help message and exit'`
`full_help_msg`	`str`	String to describe the full help option. Default is `"show full help message and exit"`.	`'show full help message and exit'`

Examples:

>>> parser = ArgumentParser(
...     formatter_class=CorgyHelpFormatter,
...     add_help=False,
...     usage=argparse.SUPPRESS,
... )
>>> CorgyHelpFormatter.add_short_full_helps(parser)
>>> parser.print_help()
options:
  -h/--help   show help message and exit
  --helpfull  show full help message and exit

corgy

corgy.Corgy #

add_args_to_parser classmethod #

as_dict #

attrs classmethod #

freeze #

from_dict classmethod #

is_attr_set #

load_dict #

parse_from_cmdline classmethod #

parse_from_toml classmethod #

corgy.corgyparser #

corgy.corgychecker #

corgy.CorgyHelpFormatter #

using_colors property #

FullHelpAction #

ShortHelpAction #

add_short_full_helps classmethod #

add_args_to_parser `classmethod` #

attrs `classmethod` #

from_dict `classmethod` #

parse_from_cmdline `classmethod` #

parse_from_toml `classmethod` #

using_colors `property` #

add_short_full_helps `classmethod` #