Skip to main content

abcmeta

Python meta class and abstract method library with restrictions.

This library provides a restricted way to validate abstract methods. The Python's default abstract method library only validates the methods that exist in the derived classes and nothing else. What this library provides is apart from that validation it provides validations over the method's signature. All you need is to import ABCMeta and abstractmethod from this library.

It works on both annotations and without annotations methods.

Installation

You can install the package by pip:

$ pip install abcmeta

Note: abcmeta supports Python3.6+.

Quick start

from typing import Dict, Text

from abcmeta import ABCMeta, abstractmethod


class Base(ABCMeta):
    @abstractmethod
    def method_2(self, name: Text, age: int) -> Dict[Text, Text]:
        """Abstract method."""

    @abstractmethod
    def method_3(self, name, age):
        """Abstract method."""

class Drived(Base):
    def method_2(self, name: Text, age: int) -> Dict[Text, Text]:
        return {"name": "test"}

    def method_3(self, name, age):
        pass

If you put a different signature, it will raise an error with 'diff' format with hints about what you've missed:

class Drived(Base):
    def method_2(self, name: Text, age: int) -> List[Text]:
        return {"name": "test"}

And it will raise:

Traceback (most recent call last):
  File "/Workspaces/test.py", line 41, in <module>
    class Drived(Base):
  File "/usr/lib/python3.9/abc.py", line 85, in __new__
    cls = super().__new__(mcls, name, bases, namespace, **kwargs)
  File "/abcmeta/__init__.py", line 179, in __init_subclass__
    raise AttributeError(
AttributeError: Signature of the derived method is not the same as parent class:
- method_2(self, name: str, age: int) -> Dict[str, str]
?                                        ^ ^     -----

+ method_2(self, name: str, age: int) -> List[str]
?                                        ^ ^

Derived method expected to return in 'typing.Dict[str, str]' type, but returns 'typing.List[str]'

For different parameter names:

class Drived(Base):
    def method_2(self, username: Text, age: int) -> List[Text]:
        return {"name": "test"}

And it will raise:

Traceback (most recent call last):
  File "/Workspaces/test.py", line 41, in <module>
    class Drived(Base):
  File "/usr/lib/python3.9/abc.py", line 85, in __new__
    cls = super().__new__(mcls, name, bases, namespace, **kwargs)
  File "/abcmeta/__init__.py", line 180, in __init_subclass__
    raise AttributeError(
AttributeError: Signature of the derived method is not the same as parent class:
- method_2(self, name: str, age: int) -> Dict[str, str]
+ method_2(self, username: str, age: int) -> Dict[str, str]
?                ++++

Derived method expected to get name paramter, but gets username

Issue

If you're faced with a problem, please file an issue on Github.

Contribute

You're always welcome to contribute to the project! Please file an issue and send your great PR.

License

Please read the LICENSE file.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

abcmeta-1.0.1.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

abcmeta-1.0.1-py3-none-any.whl (4.8 kB view details)

Uploaded Python 3

File details

Details for the file abcmeta-1.0.1.tar.gz.

File metadata

  • Download URL: abcmeta-1.0.1.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.6

File hashes

Hashes for abcmeta-1.0.1.tar.gz
Algorithm Hash digest
SHA256 46cec7a089f7445ebf173de344aa7ab6ca737776e7df240db737abd625e95f4a
MD5 199e580cbf49a805c8877a99a665de67
BLAKE2b-256 14e65a77d4aa2722f45007e18a90112516fe7f4af12fdc69a094ebcf827a5c5a

See more details on using hashes here.

File details

Details for the file abcmeta-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: abcmeta-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 4.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.6

File hashes

Hashes for abcmeta-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7a0c6cac179877fca96997cfaf21abbb5023f421d2002a55be1a677db2123f38
MD5 1f809a7df02bb762db372d9493b3e7ce
BLAKE2b-256 ec1c981db8f2ba375c9b80f2a5caf0969c1fc0af0b16e6c193499323ac4b1fc1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page