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Corgy is a Python library that allows you to create feature rich data classes using intuitive type annotations.
>>> from typing import List
>>> from typing_extensions import Literal
>>> from corgy import Corgy
>>> from corgy.types import KeyValuePairs
>>> class G(Corgy):
... x: int
... y: Literal["y1", "y2", "y3"]
>>> class C(Corgy):
... x: List[float] = [1.0, 2.0]
... y: KeyValuePairs[str, int]
... g: G
Corgy
instances are type-checked, and support a
number of type modifiers.>>> from typing import Tuple
>>> class C(Corgy):
... x: int
... y: Tuple[int, int]
>>> C(x="1")
Traceback (most recent call last):
...
ValueError: error setting `x`: invalid value for type '<class 'int'>': '1'
>>> C(y=(1, 2, 3))
Traceback (most recent call last):
...
ValueError: error setting `y`: invalid value for type 'typing.Tuple[int, int]': (1, 2, 3): expected exactly '2' elements
Corgy
instances can be converted to/from
dictionaries.>>> class G(Corgy):
... x: int
>>> class C(Corgy):
... x: int
... g: G
>>> g = G.from_dict({"x": 1})
>>> g
G(x=1)
>>> c = C(x=2, g=g)
>>> c.as_dict()
{'x': 2, 'g': {'x': 1}}
Corgy
class attributes can be added to an
ArgumentParser
instance, and parsed from the command-line. Help
messages can be added to attributes with Annotated
, and will be
passed to the command line parser.>>> from argparse import ArgumentParser
>>> from typing import Optional
>>> from typing_extensions import Annotated
>>> class ArgGroup(Corgy):
... arg1: Annotated[Optional[int], "optional number"]
... arg2: Annotated[bool, "a boolean"]
>>> class MyArgs(Corgy):
... arg1: Annotated[int, "a number"] = 1
... arg2: Annotated[Tuple[float, ...], "at least one float"]
... grp1: Annotated[ArgGroup, "group 1"]
>>> parser = ArgumentParser(usage="")
>>> MyArgs.add_args_to_parser(parser)
>>> parser.print_help() # doctest: +SKIP
usage:
optional arguments:
-h, --help show this help message and exit
--arg1 ARG1 a number
--arg2 ARG2 [ARG2 ...]
at least one float
grp1:
group 1
--grp1:arg1 [GRP1:ARG1]
optional number
--grp1:arg2, --no-grp1:arg2
a boolean
corgy
package provides
CorgyHelpFormatter
, a formatter class for argparse
, with support
for colorized output. It can also be used independent of Corgy
classes.>>> from corgy import CorgyHelpFormatter
>>> # `ArgGroup` and `MyArgs` as defined above
>>> parser = ArgumentParser(usage="", formatter_class=CorgyHelpFormatter)
>>> MyArgs.add_args_to_parser(parser)
>>> parser.print_help() # doctest: +SKIP
corgy.types
provides a number of types for
converting strings into objects like paths, dictionaries, classes,
etc. These can be used standalone, but are especially useful for
parsing from command line arguments. Refer to the docs for details on
all available types. A small example is shown below.>>> T = KeyValuePairs[str, int]
>>> m = T("x=1,y=2")
>>> print(m)
{'x': 1, 'y': 2}
corgy
is available on PyPI, and can be installed with pip:
pip install corgy
Support for colorized output requires the crayons
package, also
available on PyPI. You can pull it as a dependency for corgy
by
installing with the colors
extra:
pip install corgy[colors]
Parsing Corgy
objects from toml
files requires the tomli
package
on Python versions below 3.11. This can be installed automatically with
the toml
extra:
pip install corgy[toml]
FAQs
Elegant data classes
We found that corgy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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