See below for sample code utilising the above project structure. This holds a blueprints with it’s templates, views.py, forms.py, models.py. Uses a non-python extension so that Flask does not read/find it during development.Īpp.py: Application entry point holding the Flask object.īlueprints: Directory for Flask blueprints. Settings.py_prod: Production sensitive config. The top-level requirements.txt imports this using -r requirements/production.txt. This file imports common.txt using -r common.txt. This name has to be set to the name of our package (which is also api) as Flask uses the importname for some internal operations such as locating the template folder of the blueprint and. The second argument is very important it’s the importname. Production.txt: List of production specific packages. The Blueprint class takes three basic arguments: The first argument is the blueprints name. The main idea is to split your app into reusable namespaces. Flask-RESTPlus provides a way to use almost the same pattern as Flask’s blueprint. This file imports common.txt using -r common.txt. Python Blueprint.route Examples Example 1 Project: DanLipsitt/flask-sockjs Example 2 Project: kwellman/flask-playground Example 3 Example 4 Project. There are many different ways to organize your Flask-RESTPlus app, but here we’ll describe one that scales pretty well with larger apps and maintains a nice level organization. Requirements: Directory holding the files containing list of project packages/dependencies.Ĭommon.txt: A list of common packages for both development and production environments.ĭevelopment.txt: List of development specific packages. Instance: Directory holding production sensitive configs (e.g. While this in itself is not a problem, having. The Flask application instance is created as a global variable in app/init.py, and then imported by a lot of application modules. There is a second problem that is not that evident. Holds, static, templates, extensions, tests and blueprints directories.Ĭonfig: The directory holding the app configurations. The blueprints feature of Flask helps achieve a more practical organization that makes it easier to reuse code. This is used by App Engine to install dependencies.Īpp: The Flask application directory. Requirements.txt: The file listing project package dependencies. Index.yaml: Dastastore index configuration file. It will contain the actual Flask app together with the necessary App Engine yaml files.gitignore. Example: ```python bp = APIBlueprint('foo', _name_, tag='Foo') ``` ```python bp = APIBlueprint('foo', _name_, tag=`) for `json` location.Flask-project: This is the project root directory. 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_`. A minimal Flask application looks something like this: from flask import Flask app Flask (name) app.route ('/') def index (): return 'Hello World' A large Flask application can separate one file into multiple files by blueprints. 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. Class APIBlueprint ( APIScaffold, Blueprint ): """Flask's `Blueprint` object with some web API support.
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