An event dispatch framework designed to be used with the Bevy dependency injection framework.
Bevy makes using Dependency Injection a breeze so that you can focus on creating amazing code.
pip install bevy
Put simply, Dependency Injection is a design pattern where the objects that your class depends on are instantiated outside of the class. Those dependencies are then injected into your class when it is instantiated. This promotes loosely coupled code where your class doesn’t require direct knowledge of what classes it depends on or how to create them. Instead your class declares what class interface it expects and an outside framework handles the work of creating the class instances with the correct interface.
Python doesn’t have an actual interface implementation like many other languages. Class inheritance, however, can be used in a very similar way since sub classes will likely have the same fundamental interface as their base class.
Why Do I Care?
Dependency Injection and its reliance on abstract interfaces makes your code easier to maintain:
- Changes can be made without needing to alter implementation details in unrelated code, so long as the interface isn’t modified in a substantial way.
- Tests can provide mock implementations of dependencies without needing to jump through hoops to inject them. They can provide the mock to the context and Bevy will make sure it is used where appropriate.
How It Works
Bevy is an object oriented dependency injection framework. Similar to Pydantic, it relies on Python 3's class annotations, using them to determine what dependencies a class has.
@bevy.injectable class Example: dependency: Dependency
Each dependency when instantiated is added to a context repository for reuse. This allows many classes to share the same instance of each dependency. This is handy for sharing things like database connections, config files, or authenticated API sessions.
To instantiate classes and have Bevy inject their dependencies it is necessary to use a
bevy.Constructor. The constructor takes a
bevy.Injectable and any args necessary to
instantiate it. Calling
Constructor.build on the constructor will then create an instance of the
Injectable with all dependencies injected.
constructor = bevy.Constructor(Example) example = constructor.build()
Constructor encounters a dependency that is not in the context repository it will attempt to create the
dependency. The approach is very naive, it will just call the dependency with no arguments. If it succeeds it will be
added to the repository for later use and injected into the class.
This behavior can be changed by passing an instantiated dependency to
When adding an
Injectable it is necessary to use
Constructor.branch as it will inherit all
dependencies that are added to the constructor. Any dependencies added to the branch will not be back propagated to the
constructor, allowing for dependency isolation. Because branches inherit but do not propagate, their dependency
resolution defers until
Constructor.build is called, when it is assumed all dependencies with customized
instantiations have been added.
Injectables require a special lifecycle
Constructor.branch will accept any instantiation args that should be
passed to the class when it is constructed.
branch = constructor.branch(Dependency)
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