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Flask blueprint update8/25/2023 It seems appropriate to keep these separate, each defined in their own blueprint.Īs mentioned, because we can no longer simply import the app object, we have to change the way each controller is defined. The application has a controller that responds to browser requests and a controller that responds to API requests as REST operations. By default, if no configuration is set when running the application, the development configuration will be chosen. On line 22 we use a map to all access to each configuration based on the option given. The main difference between the configurations is the database, defined on the file system for development, as in-memory for test, and defined as an environment variable for production. SQLALCHEMY_DATABASE_URI = os.environ.get('DATABASE_URL') SQLALCHEMY_DATABASE_URI = 'sqlite:///:memory:' ![]() SQLALCHEMY_DATABASE_URI = 'sqlite:///' os.path.join(base_dir, 'data.sqlite') SQLALCHEMY_TRACK_MODIFICATIONS = init_app(app): import osīase_dir = os.path.abspath(os.path.dirname(_file_)) Let’s define a base Config object from which development, test, and production obects can extend, overriding or setting environment specific settings as required. A preferred approach would be to use some sort of inherited configuration such as that suggested by the Flask documentation. This approach is OK but may require a lot of repeated environment settings. For example, the following snippet would let you override default options by modifying the environment variables (where the settings are contained in app/default_settings.py): app = Flask(_name_)Īpp.om_object('app.default_settings')Īpp.om_envvar('YOURAPPLICATION_SETTINGS') Configurationįlask allows you to load configurations from either a Python script or from the environment variables. We should delay this so that it can be loaded and applied afterwards. ![]() The main drive of these changes is to avoid writing any code that requires configuration at import time. When we create the app object, we will register the blueprint with it, rather than simply importing the route scripts.Īnother hurdle is to set up the run and test configuration, as each will need to create the app instance rather than use an import statement. We get around the problem by placing the routes in blueprints. This poses some complications for other elements of the code, for example, the application routes which had access to the app object to create routes with the decorator, will no longer be able to refer to it at declaration stage. The solution is to use a create_app function that takes a configuration parameter. The way that estimator/_init_.py was written made app a global, thus it was created before we could change its configuration. In the last post we added a database to the app, but noted that it was difficult to configure the database for different environments. In this post we will add configuration to the Agile Estimator application, allowing us to run it in development, test or production modes, and introduce Flask Blueprints.
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