For Java, Dependency Injection works as pure OOP, i.e. you provide an interface to be implemented and in your framework code accept an instance of a c
Some time ago I wrote dependency injection microframework with a ambition to make it Pythonic - Dependency Injector. That's how your code can look like in case of its usage:
"""Example of dependency injection in Python."""
import logging
import sqlite3
import boto.s3.connection
import example.main
import example.services
import dependency_injector.containers as containers
import dependency_injector.providers as providers
class Platform(containers.DeclarativeContainer):
"""IoC container of platform service providers."""
logger = providers.Singleton(logging.Logger, name='example')
database = providers.Singleton(sqlite3.connect, ':memory:')
s3 = providers.Singleton(boto.s3.connection.S3Connection,
aws_access_key_id='KEY',
aws_secret_access_key='SECRET')
class Services(containers.DeclarativeContainer):
"""IoC container of business service providers."""
users = providers.Factory(example.services.UsersService,
logger=Platform.logger,
db=Platform.database)
auth = providers.Factory(example.services.AuthService,
logger=Platform.logger,
db=Platform.database,
token_ttl=3600)
photos = providers.Factory(example.services.PhotosService,
logger=Platform.logger,
db=Platform.database,
s3=Platform.s3)
class Application(containers.DeclarativeContainer):
"""IoC container of application component providers."""
main = providers.Callable(example.main.main,
users_service=Services.users,
auth_service=Services.auth,
photos_service=Services.photos)
Here is a link to more extensive description of this example - http://python-dependency-injector.ets-labs.org/examples/services_miniapp.html
Hope it can help a bit. For more information please visit:
I think that DI and possibly AOP are not generally considered Pythonic because of typical Python developers preferences, rather that language features.
As a matter of fact you can implement a basic DI framework in <100 lines, using metaclasses and class decorators.
For a less invasive solution, these constructs can be used to plug-in custom implementations into a generic framework.
A very easy and Pythonic way to do dependency injection is importlib.
You could define a small utility function
def inject_method_from_module(modulename, methodname):
"""
injects dynamically a method in a module
"""
mod = importlib.import_module(modulename)
return getattr(mod, methodname, None)
And then you can use it:
myfunction = inject_method_from_module("mypackage.mymodule", "myfunction")
myfunction("a")
In mypackage/mymodule.py you define myfunction
def myfunction(s):
print("myfunction in mypackage.mymodule called with parameter:", s)
You could of course also use a class MyClass iso. the function myfunction. If you define the values of methodname in a settings.py file you can load different versions of the methodname depending on the value of the settings file. Django is using such a scheme to define its database connection.