Skip to main content

This repository includes typing used in the Swarmauri framework.

Project description

Swarmauri Logo

PyPI - Downloads Hits PyPI - Python Version PyPI - License PyPI - swarmauri-typing


Swarmauri Typing

The Swarmauri Typing Library provides advanced type utilities for Python, enabling more expressive and flexible type annotations. It includes tools for creating intersection and union types dynamically.

Features

  • Intersection Types: Create intersection types that combine multiple classes.
from typing import Type, TypeVar, Union, Any, Annotated, Tuple

T = TypeVar("T")

class IntersectionMetadata:
    def __init__(self, classes: Tuple[Type[T]]):
        self.classes = classes

    def __repr__(self):
        return f"IntersectionMetadata(classes={self.classes!r})"

class Intersection(type):
    def __class_getitem__(cls, classes: Union[Type, Tuple[Type, ...]]) -> type:
        if not isinstance(classes, tuple):
            classes = (classes,)

        common = set(classes[0].__mro__)
        for c in classes[1:]:
            common.intersection_update(c.__mro__)

        ordered_common = [c for c in classes[0].__mro__ if c in common]

        if not ordered_common:
            return Annotated[Any, IntersectionMetadata(classes=(classes))]
        else:
            union_type = Union[tuple(ordered_common)]
            return Annotated[union_type, IntersectionMetadata(classes=(classes))]
  • Union Factory: Dynamically create union types based on a provided function.
from typing import Type, TypeVar, Callable, List, Union, Any, Annotated, get_args, Optional

T = TypeVar("T")

class UnionFactoryMetadata:
    def __init__(self, data: Any, name: Optional[str] = None):
        self.data = data
        self.name = name or self.__class__.__name__

    def __repr__(self):
        return f"UnionFactoryMetadata(name={self.name!r}, data={self.data!r})"

class UnionFactory:
    def __init__(self, bound: Callable[[Type[T]], List[type]], name: str = None, annotation_extenders: List[Any] = None):
        self.name = name or self.__class__.__name__
        self._union_types_getter = bound
        self._annotation_extenders = annotation_extenders or []

    def _add_metadata(self, annotated_type: Any, new_metadata: Any) -> Any:
        if not (hasattr(annotated_type, '__origin__') and annotated_type.__origin__ is Annotated):
            return Annotated[annotated_type, new_metadata]

        args = get_args(annotated_type)
        base_type = args[0]
        old_metadata = args[1:]
        return Annotated[base_type, *old_metadata, new_metadata]

    def __getitem__(self, input_data: Union[Type[T], str]) -> type:
        if isinstance(input_data, str):
            model_name = input_data
        else:
            model_name = input_data.__name__

        union_members = self._union_types_getter(model_name)

        if not union_members:
            final_annotated = Annotated[Any, UnionFactoryMetadata(data=model_name, name=self.name)]
        else:
            union_type = Union[tuple(union_members)]
            final_annotated = Annotated[union_type, UnionFactoryMetadata(data=model_name, name=self.name)]

            for extension in self._annotation_extenders:
                final_annotated = self._add_metadata(final_annotated, extension)

        return final_annotated

Getting Started

To start using the Swarmauri Typing Library, include it as a module in your Python project. Ensure you have Python 3.10 or later installed.

Steps to install via pypi

pip install swarmauri-typing

Usage Example

from swarmauri_typing import Intersection, UnionFactory

# Example of using Intersection
class A: pass
class B: pass

IntersectionType = Intersection[A, B]

# Example of using UnionFactory
def my_types_getter(name: str):
    return [A, B]

union_factory = UnionFactory(my_types_getter)
MyUnion = union_factory["MyModel"]

Contributing

Contributions are welcome! If you'd like to add a new feature, fix a bug, or improve documentation, kindly go through the contributions guidelines first.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

swarmauri_typing-0.10.0.dev6.tar.gz (8.0 kB view details)

Uploaded Source

Built Distribution

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

swarmauri_typing-0.10.0.dev6-py3-none-any.whl (9.6 kB view details)

Uploaded Python 3

File details

Details for the file swarmauri_typing-0.10.0.dev6.tar.gz.

File metadata

  • Download URL: swarmauri_typing-0.10.0.dev6.tar.gz
  • Upload date:
  • Size: 8.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for swarmauri_typing-0.10.0.dev6.tar.gz
Algorithm Hash digest
SHA256 48f9d174eb59032791ab2ebaf6a1147c0feada8effd4893b11ac317500cf3b72
MD5 beae0595961a8421de73bfa4d4d0ed03
BLAKE2b-256 7367f5fa9d6e916d1ca21e6bca47fb597e4c868352425c45b8eb9ea839229cec

See more details on using hashes here.

File details

Details for the file swarmauri_typing-0.10.0.dev6-py3-none-any.whl.

File metadata

  • Download URL: swarmauri_typing-0.10.0.dev6-py3-none-any.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for swarmauri_typing-0.10.0.dev6-py3-none-any.whl
Algorithm Hash digest
SHA256 c774c14cf95691cdb008fe2f1586a5c01d77823ee5c7e08f645f6fc81a283f58
MD5 a580a91046ecc62ccf6d7b7274413cc9
BLAKE2b-256 4b6167376ff98b05ed7659c1815b5c769de516847de808a6d5e498e889ab8b4d

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