Simple dependency injection framework for Python

Last update: Jun 29, 2022

Related tags

Miscellaneous simple_di

Overview

simple-di

A simple, strictly typed dependency injection library.

Install
Usage
API

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

inject
Provide
providers

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

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

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

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)

0.1.5(Feb 22, 2022)
add Provider.patch

Source code(tar.gz)
Source code(zip)
0.1.3(Nov 22, 2021)

Source code(tar.gz)
Source code(zip)
0.1.2(Oct 13, 2021)

Fixed the error that the type info didn't ship with the PyPI package.

Following pep-0561
Source code(tar.gz)
Source code(zip)
0.1.1(Jul 26, 2021)

Source code(tar.gz)
Source code(zip)
0.1.0(Jul 7, 2021)
containers now need to be instantiated

add states control to containers

Source code(tar.gz)
Source code(zip)
0.0.6(Jun 26, 2021)

Source code(tar.gz)
Source code(zip)
0.0.5(Jun 23, 2021)

Source code(tar.gz)
Source code(zip)
0.0.4(Jun 23, 2021)

Source code(tar.gz)
Source code(zip)
0.0.3(Jun 21, 2021)

Source code(tar.gz)
Source code(zip)
0.0.2(Jun 19, 2021)

Source code(tar.gz)
Source code(zip)

Owner

BentoML

An open standard for serving and deploying machine-learning models

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Simple dependency injection framework for Python

Related tags

Overview

simple-di

Install

Usage

API

Type annotation supported

inject

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Comments

type: decorator makes function `load` untyped

Problems

Current hack

fix: typing-extensions ver for Semantic Versioning

fix: None guardcheck

Releases(0.1.5)

0.1.5(Feb 22, 2022)

0.1.3(Nov 22, 2021)

0.1.2(Oct 13, 2021)

0.1.1(Jul 26, 2021)

0.1.0(Jul 7, 2021)

0.0.6(Jun 26, 2021)

0.0.5(Jun 23, 2021)

0.0.4(Jun 23, 2021)

0.0.3(Jun 21, 2021)

0.0.2(Jun 19, 2021)

Owner

BentoML

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