What is a Pythonic way for Dependency Injection?

问题:

Introduction

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 class that implements the defined interface.

Now for Python, you are able to do the same way, but I think that method was too much overhead right in case of Python. So then how would you implement it in the Pythonic way?

Use Case

Say this is the framework code:

class FrameworkClass():
    def __init__(self, ...):
        ...

    def do_the_job(self, ...):
        # some stuff
        # depending on some external function

The Basic Approach

The most naive (and maybe the best?) way is to require the external function to be supplied into the FrameworkClass constructor, and then be invoked from the do_the_job method.

Framework Code:

class FrameworkClass():
    def __init__(self, func):
        self.func = func

    def do_the_job(self, ...):
        # some stuff
        self.func(...)

Client Code:

def my_func():
    # my implementation

framework_instance = FrameworkClass(my_func)
framework_instance.do_the_job(...)

Question

The question is short. Is there any better commonly used Pythonic way to do this? Or maybe any libraries supporting such functionality?

UPDATE: Concrete Situation

Imagine I develop a micro web framework, which handles authentication using tokens. This framework needs a function to supply some ID obtained from the token and get the user corresponding to that ID.

Obviously, the framework does not know anything about users or any other application specific logic, so the client code must inject the user getter functionality into the framework to make the authentication work.

回答1:

See Raymond Hettinger - Super considered super! - PyCon 2015 for an argument about how to use super and multiple inheritance instead of DI. If you don't have time to watch the whole video, jump to minute 15 (but I'd recommend watching all of it).

Here is an example of how to apply what's described in this video to your example:

Framework Code:

class TokenInterface():
    def getUserFromToken(self, token):
        raise NotImplementedError

class FrameworkClass(TokenInterface):
    def do_the_job(self, ...):
        # some stuff
        self.user = super().getUserFromToken(...)

Client Code:

class SQLUserFromToken(TokenInterface):
    def getUserFromToken(self, token):      
        # load the user from the database
        return user

class ClientFrameworkClass(FrameworkClass, SQLUserFromToken):
    pass

framework_instance = ClientFrameworkClass()
framework_instance.do_the_job(...)

This will work because the Python MRO will guarantee that the getUserFromToken client method is called (if super() is used). The code will have to change if you're on Python 2.x.

One added benefit here is that this will raise an exception if the client does not provide a implementation.

Of course, this is not really dependency injection, it's multiple inheritance and mixins, but it is a Pythonic way to solve your problem.

回答2:

The way we do dependency injection in our project is by using the inject lib. Check out the documentation. I highly recommend using it for DI. It kinda makes no sense with just one function but starts making lots of sense when you have to manage multiple data sources etc, etc.

Following your example it could be something similar to:

# framework.py
class FrameworkClass():
    def __init__(self, func):
        self.func = func

    def do_the_job(self):
        # some stuff
        self.func()

Your custom function:

# my_stuff.py
def my_func():
    print('aww yiss')

Somewhere in the application you want to create a bootstrap file that keeps track of all the defined dependencies:

# bootstrap.py
import inject
from .my_stuff import my_func

def configure_injection(binder):
    binder.bind(FrameworkClass, FrameworkClass(my_func))

inject.configure(configure_injection)

And then you could consume the code this way:

# some_module.py (has to be loaded with bootstrap.py already loaded somewhere in your app)
import inject
from .framework import FrameworkClass

framework_instance = inject.instance(FrameworkClass)
framework_instance.do_the_job()

I'm afraid this is as pythonic as it can get (the module has some python sweetness like decorators to inject by parameter etc - check the docs), as python does not have fancy stuff like interfaces or type hinting.

So to answer your question directly would be very hard. I think the true question is: does python have some native support for DI? And the answer is, sadly: no.

回答3:

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:

• GitHub https://github.com/ets-labs/python-dependency-injector
• Docs http://python-dependency-injector.ets-labs.org/

回答4:

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.

回答5:

Due to Python OOP implementation IoC and dependency injection are not common practices in Python world. Nevertheless the approach seemed promising even for Python.

• To use dependencies as arguments even it is a class defined in the same code base is dramatically non-pythonic approach. Python is OOP language with beautiful and elegant OOP model, so to ignore it is not a good idea.
• To define classes full of abstract methods just to imitate interface type is weird too.
• Huge wrapper-on-wrapper workarounds are too less elegant to be used.
• I also don't like to use libraries when all I need is a small pattern.

So my solution is:

# Framework internal
def MetaIoC(name, bases, namespace):
    cls = type("IoC{}".format(name), tuple(), namespace)
    return type(name, bases + (cls,), {})


# Entities level                                        
class Entity:
    def _lower_level_meth(self):
        raise NotImplementedError

    @property
    def entity_prop(self):
        return super(Entity, self)._lower_level_meth()


# Adapters level
class ImplementedEntity(Entity, metaclass=MetaIoC):          
    __private = 'private attribute value'                    

    def __init__(self, pub_attr):                            
        self.pub_attr = pub_attr                             

    def _lower_level_meth(self):                             
        print('{}\n{}'.format(self.pub_attr, self.__private))


# Infrastructure level                                       
if __name__ == '__main__':                                   
    ENTITY = ImplementedEntity('public attribute value')     
    ENTITY.entity_prop