Dependency injection microframework for Python
Project description
What is Dependency Injector?
Dependency Injector is a dependency injection framework for Python.
It stands on two principles:
Explicit is better than implicit (PEP20).
Do no magic to your code.
How does it different from the other frameworks?
No autowiring. The framework does NOT do any autowiring / autoresolving of the dependencies. You need to specify everything explicitly. Because “Explicit is better than implicit” (PEP20).
Does not pollute your code. Your application does NOT know and does NOT depend on the framework. No @inject decorators, annotations, patching or any other magic tricks.
Dependency Injector makes a simple contract with you:
You tell the framework how to build you code
The framework does it for you
The power of the Dependency Injector is in its simplicity and straightforwardness. It is a simple tool for the powerful concept.
Example
With the Dependency Injector you keep application structure in one place. This place is called the container. You use the container to manage all the components of the application. All the component dependencies are defined explicitly. This provides the control on the application structure. It is easy to understand and change it.
The container is like a map of your application. You always know what depends on what.
Example application container:
import logging
import sys
from dependency_injector import containers, providers
from . import http, monitors, dispatcher
class ApplicationContainer(containers.DeclarativeContainer):
config = providers.Configuration()
configure_logging = providers.Callable(
logging.basicConfig,
stream=sys.stdout,
level=config.log.level,
format=config.log.format,
)
http_client = providers.Factory(http.HttpClient)
example_monitor = providers.Factory(
monitors.HttpMonitor,
http_client=http_client,
options=config.monitors.example,
)
httpbin_monitor = providers.Factory(
monitors.HttpMonitor,
http_client=http_client,
options=config.monitors.httpbin,
)
dispatcher = providers.Factory(
dispatcher.Dispatcher,
monitors=providers.List(
example_monitor,
httpbin_monitor,
),
)
Example of running of such application:
from .containers import ApplicationContainer
def main() -> None:
container = ApplicationContainer()
container.config.from_yaml('config.yml')
container.configure_logging()
dispatcher = container.dispatcher()
dispatcher.run()
if __name__ == '__main__':
main()
Tutorials
Tutorial is a good point to start.
Choose one of the following:
Installation
The package is available on the PyPi:
pip install dependency-injector
Documentation
The documentation is available on the Read The Docs
Frequently asked questions
- What is the 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
you have no problems when you need to understand how it works or change it 😎
- How do I start doing 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 get it from the container
- Why do I need a framework for this?
you need the framework for this to not create it by your own
this framework gives you the container and the providers
the container is like a dictionary with the batteries 🔋
the providers manage the lifetime of your components, you will need factories, singletons, smart config object etc
- What price do I pay and what do I get?
you need to explicitly specify the dependencies in the container
it will be extra work in the beginning
it will payoff when project grows or in two weeks 😊 (when you forget what project was about)
- What features does the framework have?
building objects graph
smart configuration object
providers: factory, singleton, thread locals registers, etc
positional and keyword context injections
overriding of the objects in any part of the graph
- What features the framework does NOT have?
autowiring / autoresolving of the dependencies
the annotations and @inject-like decorators
- Have a question?
Open a Github Issue
- Found a bug?
Open a Github Issue
- 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
Project details
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BLAKE2b-256 | 3e60e44019b05e74ab93dd6212b7d3a9bce1875c91a4c38cb22ddb726b5dff94 |
Hashes for dependency_injector-3.29.0-cp27-cp27m-manylinux2010_i686.whl
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MD5 | 723f717e5a4012970495f85b7b9ddbef |
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Hashes for dependency_injector-3.29.0-cp27-cp27m-manylinux1_x86_64.whl
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MD5 | b148b4ecd130aa4ff8a8a55dfde0676f |
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BLAKE2b-256 | 6bc434589a82dd547e1eb4100448602bae532d4a79a853b6871bca5c0de28d29 |
Hashes for dependency_injector-3.29.0-cp27-cp27m-manylinux1_i686.whl
Algorithm | Hash digest | |
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MD5 | 631657ee65fcb68d0ae2190630c80ad0 |
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BLAKE2b-256 | fe13c31ff3f75ede5d7bfbd304d99b877f8c7096ecc9d3ea14cfd9ca255be278 |
Hashes for dependency_injector-3.29.0-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm | Hash digest | |
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SHA256 | beb18bea940f5dcbd8333179f4aee9b7c4d277fb7e0e2e446646252d8ccc4c64 |
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MD5 | 3322f890fbed2aedfc39935fedd9e6d2 |
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