Skip to main content

Algebraic Effect for modern Python.

Project description

Affection

Algebraic Effect for modern Python.

Tips: I strongly recommend you to read Algebraic Effects for the Rest of Us before you start.

Affection is a small library that implements Algebraic Effect for Python. It leverages asyncio, decorator and with syntax for a smooth experience.

Warning: Please note that until Higher Rank Type Variants are supported in Python, the Effect.handle API will be quite ugly.

Usage

This project is designed to be a single file project.

You can either directly copy it into your project, or add affection from PyPI with your favorite package manager.

from affection import Effect, Handle, effect, perform


class Log(Effect[None]):
    def __init__(self, content: str):
        self.content = content


def get_name(name: str | None = None) -> str:
    perform(Log(f"Getting name with {name}"))
    return perform(effect("ask_name", str)) if name is None else name


def main():
    with Handle() as h:

        @Log.handle(h)
        def _(l: Log):
            print(l.content)

        @effect("ask_name", str).handle(h)
        def _(_) -> str:
            return "Default"

        perform(Log("Test parent log"))

        with Handle() as i_h:
            @Log.handle(h)
            def _(l: Log):
                print("Inner", l.content.lower())
            print(get_name("Ann"))
            print(get_name())

if __name__ == "__main__":
    main()
    """
    Test parent log
    Inner getting name with ann
    Ann
    Inner getting name with none
    Default
    """

Project details


Download files

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

Source Distribution

affection-0.1.1.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

affection-0.1.1-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file affection-0.1.1.tar.gz.

File metadata

  • Download URL: affection-0.1.1.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.0.1 CPython/3.9.6

File hashes

Hashes for affection-0.1.1.tar.gz
Algorithm Hash digest
SHA256 4708fe734bfb78c2c9cb186c51422da9c5714614f32b3327f62f2e6a18ecf5c1
MD5 32df62353998d936fd4d4b1e7705ce4b
BLAKE2b-256 0c929503c4a73cddcbbd6a3c07776cdd60e2c402869122edd1d285eddda57fb8

See more details on using hashes here.

File details

Details for the file affection-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: affection-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.0.1 CPython/3.9.6

File hashes

Hashes for affection-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 926cbaf37b861dd67c261defd52c378d845d0544e8f19e6decbe3ab5bd85c19e
MD5 c563b6d3c83e762b80b27ef48de55d88
BLAKE2b-256 324396733f5b44c1343b2d12c9d5d1cfd83f1d2ba267af017412c8f5caed228b

See more details on using hashes here.

Supported by

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