Application Factories
If you are already using packages and blueprints for your application (Modular Applications with Blueprints) there are a couple of really nice ways to further improve the experience. A common pattern is creating the application object when the blueprint is imported. But if you move the creation of this object into a function, you can then create multiple instances of this app later.
So why would you want to do this?
Testing. You can have instances of the application with different settings to test every case.
Multiple instances. Imagine you want to run different versions of the same application. Of course you could have multiple instances with different configs set up in your webserver, but if you use factories, you can have multiple instances of the same application running in the same application process which can be handy.
So how would you then actually implement that?
Basic Factories
The idea is to set up the application in a function. Like this:
def create_app(config_filename):
app = Flask(__name__)
app.config.from_pyfile(config_filename)
from yourapplication.model import db
db.init_app(app)
from yourapplication.views.admin import admin
from yourapplication.views.frontend import frontend
app.register_blueprint(admin)
app.register_blueprint(frontend)
return app
The downside is that you cannot use the application object in the blueprints at import time. You can however use it from within a request. How do you get access to the application with the config? Use current_app
:
from flask import current_app, Blueprint, render_template
admin = Blueprint('admin', __name__, url_prefix='/admin')
@admin.route('/')
def index():
return render_template(current_app.config['INDEX_TEMPLATE'])
Here we look up the name of a template in the config.
Factories & Extensions
It’s preferable to create your extensions and app factories so that the extension object does not initially get bound to the application.
Using Flask-SQLAlchemy, as an example, you should not do something along those lines:
def create_app(config_filename):
app = Flask(__name__)
app.config.from_pyfile(config_filename)
db = SQLAlchemy(app)
But, rather, in model.py (or equivalent):
db = SQLAlchemy()
and in your application.py (or equivalent):
def create_app(config_filename):
app = Flask(__name__)
app.config.from_pyfile(config_filename)
from yourapplication.model import db
db.init_app(app)
Using this design pattern, no application-specific state is stored on the extension object, so one extension object can be used for multiple apps. For more information about the design of extensions refer to Flask Extension Development.
Using Applications
To run such an application, you can use the flask command:
BashCMDPowershell
$ export FLASK_APP=myapp
$ flask run
> set FLASK_APP=myapp
> flask run
> $env:FLASK_APP = "myapp"
> flask run
Flask will automatically detect the factory (create_app
or make_app
) in myapp
. You can also pass arguments to the factory like this:
BashCMDPowershell
$ export FLASK_APP="myapp:create_app('dev')"
$ flask run
> set FLASK_APP="myapp:create_app('dev')"
> flask run
> $env:FLASK_APP = "myapp:create_app('dev')"
> flask run
Then the create_app
factory in myapp
is called with the string 'dev'
as the argument. See Command Line Interface for more detail.
Factory Improvements
The factory function above is not very clever, but you can improve it. The following changes are straightforward to implement:
Make it possible to pass in configuration values for unit tests so that you don’t have to create config files on the filesystem.
Call a function from a blueprint when the application is setting up so that you have a place to modify attributes of the application (like hooking in before/after request handlers etc.)
Add in WSGI middlewares when the application is being created if necessary.