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pyautowire
Advanced tools
Lightweight dependency injection for Python that autowires into anything.
Do you love pytest fixtures? Do you wish you could have the flexibility of fixtures without actually having to worry
about the complications of using Dependency Injection? Then pyautowire is for you!
Dependency Inversion is a common design pattern across a variety of languages. It most often occurs in object-oriented programming languages, where you can choose from a variety of flavours, such as constructor injection, setter injection, or interface injection [1].
The most popular dependency injection library in Python is the aptly named Dependency Injector
[2], which comes with a massive variety of configuration
options.
I personally primarily use Python for medium-sized pet projects, and I found those configuration options to be a bit
too complex for my usecase. Specifically, there are cases where I don't necessarily want to turn everything into a
class to inject dependencies into; sometimes I just want a lightweight function that I can inject values into.
Enter pyautowire, for all of your good enough™️ dependency injection needs.
You can install pyautowire via pip:
pip install pyautowire
or via Poetry:
poetry add pyautowire
It is compatible with Python3.7 and above.
To use pyautowire, you need to have your injectable classes inherit from the Injectable class and use the
@autowire decorator on the methods you want to inject values into. For example:
from pyautowire import Injectable, autowire
class Configuration(Injectable):
def __init__(self, config_value: str):
self.config_value = config_value
@autowire('configuration')
def my_function(configuration: Configuration):
print(configuration.config_value)
if __name__ == '__main__':
configuration = Configuration('Hello, World!').register()
my_function()
You can see that you can call my_function without passing in any arguments; pyautowire will automatically inject them.
Admittedly, this is a rather silly example, since you could have just passed the configuration value as an argument to my_function.
However, imagine you can use the configuration object across your entire application without ever using an import,
having to store a global configuration object somewhere, or pass it around as an argument.
Note that you have to call register() on your Injectable objects before you can use them.
You also have to specify all the arguments you would like to inject into your function in the @autowire decorator.
Given enough time, I might come up with a smarter solution to automatically handle that, but for now, this works fine.
pyautowire technically supports constructor injection. I'll be honest: This is a hack at the moment. But if you
really want to do it, it works:
class MyDatabase(Injectable):
@autowire('configuration')
def __init__(self, configuration: Configuration):
self.db_url = configuration.db_url
self.db_user = configuration.db_user
self.db_password = configuration.db_password
As a rule of thumb: For small projects where you want to avoid the complexity of a full-blown dependency injection library, while getting all of its benefits: sure. It is genuinely fun to work with, and it'll accelerate your workflow in rapid prototyping.
For larger projects, I would recommend using a more established library like Dependency Injector. The amount of complexity
this library can handle is very limited.
FAQs
Good enough autowiring for Python
We found that pyautowire demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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