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What is Dependency Injector?

Dependency Injector is a dependency injection framework for Python.

It helps implement the dependency injection principle.

Key features of the Dependency Injector:

  • Providers. Provides Factory, Singleton, Callable, Coroutine, Object, List, Dict, Configuration, Resource, Dependency, and Selector providers that help assemble your objects. See Providers.

  • Overriding. Can override any provider by another provider on the fly. This helps in testing and configuring dev/stage environment to replace API clients with stubs etc. See Provider overriding.

  • Configuration. Reads configuration from yaml, ini, and json files, pydantic settings, environment variables, and dictionaries. See Configuration provider.

  • Resources. Helps with initialization and configuring of logging, event loop, thread or process pool, etc. Can be used for per-function execution scope in tandem with wiring. See Resource provider.

  • Containers. Provides declarative and dynamic containers. See Containers.

  • Wiring. Injects dependencies into functions and methods. Helps integrate with other frameworks: Django, Flask, Aiohttp, Sanic, FastAPI, etc. See Wiring.

  • Asynchronous. Supports asynchronous injections. See Asynchronous injections.

  • Typing. Provides typing stubs, mypy-friendly. See Typing and mypy.

  • Performance. Fast. Written in Cython.

  • Maturity. Mature and production-ready. Well-tested, documented, and supported.

from dependency_injector import containers, providers
from dependency_injector.wiring import Provide, inject


class Container(containers.DeclarativeContainer):

    config = providers.Configuration()

    api_client = providers.Singleton(
        ApiClient,
        api_key=config.api_key,
        timeout=config.timeout,
    )

    service = providers.Factory(
        Service,
        api_client=api_client,
    )


@inject
def main(service: Service = Provide[Container.service]) -> None:
    ...


if __name__ == "__main__":
    container = Container()
    container.config.api_key.from_env("API_KEY", required=True)
    container.config.timeout.from_env("TIMEOUT", as_=int, default=5)
    container.wire(modules=[__name__])

    main()  # <-- dependency is injected automatically

    with container.api_client.override(mock.Mock()):
        main()  # <-- overridden dependency is injected automatically

When you call the main() function the Service dependency is assembled and injected automatically.

When you do testing, you call the container.api_client.override() method to replace the real API client with a mock. When you call main(), the mock is injected.

You can override any provider with another provider.

It also helps you in a re-configuring project for different environments: replace an API client with a stub on the dev or stage.

With the Dependency Injector, object assembling is consolidated in a container. Dependency injections are defined explicitly. This makes it easier to understand and change how an application works.

https://raw.githubusercontent.com/wiki/ets-labs/python-dependency-injector/img/di-readme.svg

Visit the docs to know more about the Dependency injection and inversion of control in Python.

Installation

The package is available on the PyPi:

pip install dependency-injector

Documentation

The documentation is available here.

Examples

Choose one of the following:

Tutorials

Choose one of the following:

Concept

The framework stands on the PEP20 (The Zen of Python) principle:

Explicit is better than implicit

You need to specify how to assemble and where to inject the dependencies explicitly.

The power of the framework is in its simplicity. Dependency Injector is a simple tool for the powerful concept.

Frequently asked questions

What is dependency injection?
  • dependency injection is a principle that decreases coupling and increases cohesion

Why should I do the dependency injection?
  • your code becomes more flexible, testable, and clear 😎

How do I start applying the dependency injection?
  • you start writing the code following the dependency injection principle

  • you register all of your application components and their dependencies in the container

  • when you need a component, you specify where to inject it or get it from the container

What price do I pay and what do I get?
  • you need to explicitly specify the dependencies

  • it will be extra work in the beginning

  • it will payoff as project grows

Have a question?
Found a bug?
Want to help?
  • ⭐️ Star the Dependency Injector on the Github

  • 🆕 Start a new project with the Dependency Injector

  • 💬 Tell your friend about the Dependency Injector

Want to contribute?
  • 🔀 Fork the project

  • ⬅️ Open a pull request to the develop branch

Release files for hmt-dependency-injector 4.48.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hmt-dependency-injector 4.48.3
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Built distributions (wheels)

Table of built distributions (wheels) for hmt-dependency-injector 4.48.3
File
hmt_dependency_injector-4.48.3-pp311-pypy311_pp73-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.28+ ARM64, Linux glibc 2.17+ ARM64 Details
hmt_dependency_injector-4.48.3-pp311-pypy311_pp73-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl PyPy 3.11 PyPy 3.11 7.3 Linux glibc 2.5+ x86-64, Linux glibc 2.28+ x86-64 Details
hmt_dependency_injector-4.48.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl PyPy 3.11 PyPy 3.11 7.3 macOS 11.0+ ARM64 Details
hmt_dependency_injector-4.48.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl PyPy 3.11 PyPy 3.11 7.3 macOS 10.15+ x86-64 Details
hmt_dependency_injector-4.48.3-cp314-cp314t-musllinux_1_2_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ x86-64 Details
hmt_dependency_injector-4.48.3-cp314-cp314t-musllinux_1_2_aarch64.whl CPython 3.14 CPython 3.14 free-threading Linux musl 1.2+ ARM64 Details
hmt_dependency_injector-4.48.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.17+ x86-64, Linux glibc 2.28+ x86-64 Details
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hmt_dependency_injector-4.48.3-cp314-cp314t-macosx_11_0_arm64.whl CPython 3.14 CPython 3.14 free-threading macOS 11.0+ ARM64 Details
hmt_dependency_injector-4.48.3-cp314-cp314t-macosx_10_15_x86_64.whl CPython 3.14 CPython 3.14 free-threading macOS 10.15+ x86-64 Details
hmt_dependency_injector-4.48.3-cp310-abi3-musllinux_1_2_x86_64.whl CPython 3.10 abi3 Linux musl 1.2+ x86-64 Details
hmt_dependency_injector-4.48.3-cp310-abi3-musllinux_1_2_aarch64.whl CPython 3.10 abi3 Linux musl 1.2+ ARM64 Details
hmt_dependency_injector-4.48.3-cp310-abi3-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64, Linux glibc 2.28+ ARM64 Details
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hmt_dependency_injector-4.48.3-cp310-abi3-macosx_10_9_x86_64.whl CPython 3.10 abi3 macOS 10.9+ x86-64 Details
hmt_dependency_injector-4.48.3-cp39-cp39-musllinux_1_2_x86_64.whl CPython 3.9 CPython 3.9 Linux musl 1.2+ x86-64 Details
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hmt_dependency_injector-4.48.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.28+ x86-64, Linux glibc 2.17+ x86-64 Details
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hmt_dependency_injector-4.48.3-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
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hmt_dependency_injector-4.48.3-cp38-cp38-musllinux_1_2_aarch64.whl CPython 3.8 CPython 3.8 Linux musl 1.2+ ARM64 Details
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hmt_dependency_injector-4.48.3-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
hmt_dependency_injector-4.48.3-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details

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