Simple dependency injection framework for Python

Related tags

Miscellaneoussimple_di
Overview

simple-di

A simple, strictly typed dependency injection library.

mypy-strict

Python 3.6 Python 3.7 Python 3.8 Python 3.9

Install

    pip install simple_di

Usage

Examples:

    from simple_di import inject, Provide, Provider
    from simple_di.providers import Static, Factory, Configuration


    class Options(Container):
        cpu: Provider[int] = Static(2)
        worker: Provider[int] = Factory(lambda c: 2 * int(c) + 1, c=cpu)

    @inject
    def func(worker: int = Provide[Options.worker]):
        return worker

    assert func() == 5
    assert func(1) == 1

    Options.worker.set(2)
    assert func() == 2

    Options.worker.reset()
    assert func() == 5

    Options.cpu.set(1)
    assert func() == 3

API

Type annotation supported

inject

Inject values into providers in function/method arguments.

Arguments:

  • squeeze_none: default False. Treat None value passed in as not passed.
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Comments
  • type: decorator makes function `load` untyped

    type: decorator makes function `load` untyped

    Problems

    when using @inject, the decorator makes the function untyped despite the function itself is type-safe

    ...
from simple_di import inject

@inject
def import_from_torch_hub(
    repo: str,
    model: str,
    *args: str,
    model_store: "ModelStore" = Provide[BentoMLContainer.model_store],
    **kwargs: str,
) -> str: ...

    $ mypy bentoml/pytorch.py

# bentoml/pytorch.py:170: error: Untyped decorator makes function "import_from_torch_hub" untyped  [misc]

    Current hack

    import typing as t
import functools

from simple_di import WrappedCallable
from simple_di import inject as _inject

inject: t.Callable[[WrappedCallable], WrappedCallable] = functools.partial(_inject, squeeze_none=False)
    opened by aarnphm 5
  • fix: typing-extensions ver for Semantic Versioning

    fix: typing-extensions ver for Semantic Versioning

    Due to the Semantic Versioning decision of typing_textensions https://github.com/python/typing/tree/master/typing_extensions#overview

    Starting with version 4.0.0, typing_extensions uses Semantic Versioning. The major version is incremented for all backwards-incompatible changes, including dropping support for older Python versions. Therefore, it's safe to depend on typing_extensions like this: typing_extensions >=x.y, <(x+1), where x.y is the first version that includes all features you need.

    opened by bojiang 0
  • fix: None guardcheck

    fix: None guardcheck

    This PR address configuration getter should be default to None if cursor value is not Found in a dict ConfigurationItem

    Signed-off-by: Aaron Pham [email protected]

    opened by aarnphm 1
Releases(0.1.5)
Owner
BentoML
An open standard for serving and deploying machine-learning models
BentoML
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