You want to have the path operations related to your users separated from the rest of the code, to keep it organized.īut it's still part of the same FastAPI application/web API (it's part of the same "Python Package"). Let's say the file dedicated to handling just users is the submodule at /app/routers/users.py. │ ├── _init_.py # makes "internal" a "Python subpackage" │ └── internal # "internal" is a "Python subpackage" │ │ └── users.py # "users" submodule, e.g. │ │ ├── items.py # "items" submodule, e.g. │ │ ├── _init_.py # makes "routers" a "Python subpackage" │ └── routers # "routers" is a "Python subpackage" │ ├── dependencies.py # "dependencies" module, e.g. │ ├── _init_.py # this file makes "app" a "Python package" Include the same router multiple times with different prefix Include an APIRouter with a custom prefix, tags, responses, and dependencies Include the APIRouters for users and items examples/docs/items/get.yml will provide a Swagger doc for ItemsView method get.Īdditionally, when using Flask RESTful per above, by passing parse=True when constructing Swagger, Flasgger will use flask_2 with Password (and hashing), Bearer with JWT tokensĪdd some custom tags, responses, and dependencies For example, 'doc_dir': './examples/docs/' and a file. Set a doc_dir in your app.config and Swagger will load API docs by looking in doc_dir for YAML files stored by endpoint-name and method-name. run ( debug = True ) Auto-parsing external YAML docs and MethodViewsįlasgger can be configured to auto-parse external YAML API docs. add_resource ( Username, '/username/' ) app. parameters: - name: palette in: path type: string enum: required: true default: all definitions: Palette: type: object properties: palette_name: type: array items: $ref: '#/definitions/Color' Color: type: string responses: 200: description: A list of colors (may be filtered by palette) schema: $ref: '#/definitions/Palette' examples: rgb: """ all_colors =, 200 api. route ( '/colors//' ) def colors ( palette ): """Example endpoint returning a list of colors by palette This is using docstrings for specifications. Getting started Using docstrings as specificationĬreate a file called for example colors.py from flask import Flask, jsonify from flasgger import Swagger app = Flask ( _name_ ) swagger = Swagger ( app ). In your virtualenv: pip install -r requirements.txt NOTE: If you want to use Marshmallow Schemas you also need to run pip install marshmallow apispec How to run tests Or (latest stable for legacy apps) pip install flasgger=0.9.5 Then install beta version (recommended) pip install flasgger=0.9.7b2 InstallationĮnsure you have latest setuptools pip install -U setuptools ĭocker run -it -rm -p 5000:5000 -name flasgger flasgger The examples and demo app can also be built and run as a Docker image/container: docker build -t flasgger. NOTE: all the examples apps are also test cases and run automatically in Travis CI to ensure quality and coverage. There are some example applications and you can also play with examples in Flasgger demo app Initializing Flasgger with default data.Externally loading Swagger UI and jQuery JS/CSS.Get defined schemas as python dictionaries.Use the same data to validate your API POST body.Handling multiple http methods and routes for a single function.Auto-parsing external YAML docs and MethodViews.Flasgger Easy Swagger UI for your Flask APIįlasgger is a Flask extension to extract OpenAPI-Specification from all Flask views registered in your API.įlasgger also comes with SwaggerUI embedded so you can access and visualize and interact with your API resources.įlasgger also provides validation of the incoming data, using the same specification it can validates if the data received as as a POST, PUT, PATCH is valid against the schema defined using YAML, Python dictionaries or Marshmallow Schemas.įlasgger can work with simple function views or MethodViews using docstring as specification, or using decorator to get specification from YAML or dict and also provides SwaggerView which can use Marshmallow Schemas as specification.įlasgger is compatible with Flask-RESTful so you can use Resources and swag specifications together, take a look at restful example.įlasgger also supports Marshmallow APISpec as base template for specification, if you are using APISPec from Marshmallow take a look at apispec example.
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