Example: ```python bp = APIBlueprint('foo', _name_, tag='Foo') ``` ```python bp = APIBlueprint('foo', _name_, tag=`) for `json` location. Accepts a tag name string or an OpenAPI tag dict. If not set, the `.title()` will be used (`'foo'` -> `'Foo'`). This helps locate the `root_path` for the blueprint. import_name: The name of the blueprint package, usually `_name_`. Arguments: name: The name of the blueprint. Union ] = _sentinel # type: ignore ) -> None : """Make a blueprint instance. Optional ] = None, enable_openapi : bool = True, static_folder : t. *Version added: 0.2.0* """ def _init_ ( self, name : str, import_name : str, tag : t. Examples: ```python from apiflask import APIBlueprint bp = APIBlueprint('foo', _name_) ``` *Version changed: 0.5.0* - Add `enable_openapi` parameter. The urlprefix will be prepended to all the URLs associated with the blueprint. Like the application object, the blueprint needs to know where it’s defined, so name is passed as the second argument. See example.py for a more complete example, including Flask-SQLAlchemy andįlask-Cache integration.Class APIBlueprint ( APIScaffold, Blueprint ): """Flask's `Blueprint` object with some web API support. functoolsfrom(,flash,g,redirect,),flaskr.dbimport,) This creates a Blueprint named 'auth'. # All that remains is to run the application app. This needs to be run *after* you attached all # views, handlers, context processors and template globals. context as well as everything template context processors want to inject. Note that in this example we also use the # Injector to gain access to the `flask.Config`: def configure( binder): The key of the dictionary is the name of the blueprint this function is active. # Accordingly, the next step is to create modules for any objects we want made # available to the application. You can see some examples of configuring # Flask extensions through modules below. # In the Injector world, all dependency configuration and initialization is # performed in modules (). execute( 'SELECT * FROM users WHERE name=?', ( key,)). db = db def dispatch_request( self, key): # Class-based view with injected constructor class Waz( inject def _init_( self, db: sqlite3. # Configure your application by attaching views, handlers, context processors etc.: app. views import View from flask_injector import FlaskInjector from injector import inject app = Flask( _name_) Import sqlite3 from flask import Flask, Config from flask. flask.Request is bound to the current Flask request object, equivalent to the thread-local.flask.Config is bound to the configuration of the Flask application.flask.Flask is bound to the Flask application in the (scope: singleton).Need to do it in one of the modules passed to the FlaskInjector constructor): The following bindings are applied (if you want to modify them you request object – to be used as a class decorator or in explicitĬreating an instance of FlaskInjector performs side-effectful configuration of the FlaskĪpplication passed to it.Subclass to be used for storing and reusing request-scoped dependencies Subclass – the scope to be used instead of RequestScope. – an instance of Injector to be used if, for some reason, it's not desirableįor FlaskInjector to create a new one. If its a configuration variable, then you could in your app.py add like this app.configdatatopass and in your blueprint.py you could from flask import currentapp and then you can use it like this the code should look like this: app. app, an instance of`flask.Flask` – the Flask application to be used.FlaskInjector class with the constructor taking the following parameters:.The Flask-Injector public API consists of the following: Provides a tutorial-level introduction to using Injector. Jinja environment globals (functions in app.jinja_env.globals)įlask-Injector supports defining types using function annotations (Python 3),Īs Flask-Injector uses Injector under the hood you should find the.Youįlask-Injector is compatible with CPython 3.7+.Īs of version 0.15.0 it requires Injector version 0.20.0 or greater and Flaskįlask-Injector lets you inject dependencies into: Injector is a dependency-injection framework for Python, inspired by Guice. This way there's no need to use global Flask objects, which makes testing simpler.
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