Flasgger is a Flask extension to extract OpenAPI=Specification from all Flask views registered in your API.
Flasgger also comes with SwaggerUI embedded so you can access http://localhost:5000/apidocs and visualize and interact with your API resources.
Flasgger 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.
Flasgger can work with simple function views or MethodViews using docstring for especification, or using @swag_from decorator to get specification from YAML or dict and also provides SwaggerView which can use Marshmallow Schemas as specification.
Flasgger is compatible with Flask-RESTful so you can use Resources and swag specifications together, take a look at restful example.
Flasgger also supports Marshmallow APISpec as base template for specification, if you are using APISPec from Marshmallow take a look at apispec example.
There are some example applications and you can also play with examples in Flasgger demo app
NOTE: all the examples apps are also test cases and run automatically in Travis CI to ensure quality and coverage.
under your virtualenv do:
pip install flasgger
or (dev version)
pip install https://github.com/rochacbruno/flasgger/tarball/master
NOTE: If you want to use Marshmallow Schemas you also need to run
pip install marshmallow apispec
Create a file called for example colors.py
from flask import Flask, jsonify
from flasgger import Swagger
app = Flask(__name__)
swagger = Swagger(app)
@app.route('/colors/<palette>/')
def colors(palette):
"""Example endpoint returning a list of colors by palette
This is using docstrings for specifications.
---
parameters:
- name: palette
in: path
type: string
enum: ['all', 'rgb', 'cmyk']
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: ['red', 'green', 'blue']
"""
all_colors = {
'cmyk': ['cian', 'magenta', 'yellow', 'black'],
'rgb': ['red', 'green', 'blue']
}
if palette == 'all':
result = all_colors
else:
result = {palette: all_colors.get(palette)}
return jsonify(result)
app.run(debug=True)Now run:
python colors.py
And go to: http://localhost:5000/apidocs/
You should get:
Save a new file colors.yml
Example endpoint returning a list of colors by palette
In this example the specification is taken from external YAML file
---
parameters:
- name: palette
in: path
type: string
enum: ['all', 'rgb', 'cmyk']
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:
$ref: '#/definitions/Palette'
examples:
rgb: ['red', 'green', 'blue']lets use the same example changing only the view function.
from flasgger import swag_from
@app.route('/colors/<palette>/')
@swag_from('colors.yml')
def colors(palette):
...If you do not want to use the decorator you can use the docsting file: shortcut.
@app.route('/colors/<palette>/')
def colors(palette):
"""
file: colors.yml
"""
...Create a Python dictionary as:
specs_dict = {
"parameters": [
{
"name": "palette",
"in": "path",
"type": "string",
"enum": [
"all",
"rgb",
"cmyk"
],
"required": true,
"default": "all"
}
],
"definitions": {
"Palette": {
"type": "object",
"properties": {
"palette_name": {
"type": "array",
"items": {
"$ref": "#/definitions/Color"
}
}
}
},
"Color": {
"type": "string"
}
},
"responses": {
"200": {
"description": "A list of colors (may be filtered by palette)",
"schema": {
"$ref": "#/definitions/Palette"
},
"examples": {
"rgb": [
"red",
"green",
"blue"
]
}
}
}
}Now take the same function and use the dict in the place of YAML file.
@app.route('/colors/<palette>/')
@swag_from(specs_dict)
def colors(palette):
"""Example endpoint returning a list of colors by palette
In this example the specification is taken from specs_dict
"""
...FIRST:
pip install marshmallow apispec
from flask import Flask, jsonify
from flasgger import Swagger, SwaggerView, Schema, fields
class Color(Schema):
name = fields.Str()
class Palette(Schema):
pallete_name = fields.Str()
colors = fields.Nested(Color, many=True)
class PaletteView(SwaggerView):
parameters = [
{
"name": "palette",
"in": "path",
"type": "string",
"enum": ["all", "rgb", "cmyk"],
"required": True,
"default": "all"
}
]
responses = {
200: {
"description": "A list of colors (may be filtered by palette)",
"schema": Palette
}
}
def get(self, palette):
"""
Colors API using schema
This example is using marshmallow schemas
"""
all_colors = {
'cmyk': ['cian', 'magenta', 'yellow', 'black'],
'rgb': ['red', 'green', 'blue']
}
if palette == 'all':
result = all_colors
else:
result = {palette: all_colors.get(palette)}
return jsonify(result)
app = Flask(__name__)
swagger = Swagger(app)
app.add_url_rule(
'/colors/<palette>',
view_func=PaletteView.as_view('colors'),
methods=['GET']
)
app.run(debug=True)NOTE: take a look at
examples/validation.pyfor a more complete example.
NOTE: when catching arguments in path rule always use explicit types, bad:
/api/<username>good:/api/<string:username>
Flasgger is compatible with Flask-RESTful you only need to install pip install flask-restful and then:
from flask import Flask
from flasgger import Swagger
from flask_restful import Api, Resource
app = Flask(__name__)
api = Api(app)
swagger = Swagger(app)
class Username(Resource):
def get(self, username):
"""
This examples uses FlaskRESTful Resource
It works also with swag_from, schemas and spec_dict
---
parameters:
- in: path
name: username
type: string
required: true
responses:
200:
description: A single user item
schema:
id: User
properties:
username:
type: string
description: The name of the user
default: Steven Wilson
"""
return {'username': username}, 200
api.add_resource(Username, '/username/<username>')
app.run(debug=True)You can separate specifications by endpoint or methods
from flasgger.utils import swag_from
@app.route('/api/<string:username>', endpoint='with_user_name', methods=['PUT', 'GET'])
@app.route('/api/', endpoint='without_user_name')
@swag_from('path/to/external_file.yml', endpoint='with_user_name')
@swag_from('path/to/external_file_no_user_get.yml', endpoint='without_user_name', methods=['GET'])
@swag_from('path/to/external_file_no_user_put.yml', endpoint='without_user_name', methods=['PUT'])
def fromfile_decorated(username=None):
if not username:
return "No user!"
return jsonify({'username': username})And the same can be achieved with multiple methods in a MethodView or SwaggerView by
registering the url_rule many times. Take a look at examples/example_app
Setting swag_from's validation parameter to True will validate incoming data automatically:
from flasgger import swag_from
@swag_from('defs.yml', validation=True)
def post():
# if not validate returns ValidationError response with status 400
# also returns the validation message.Using swagger.validate annotation is also possible:
from flasgger import Swagger
swagger = Swagger(app)
@swagger.validate('UserSchema')
def post():
'''
file: defs.yml
'''
# if not validate returns ValidationError response with status 400
# also returns the validation message.Yet you can call validate manually:
from flasgger import swag_from, validate
@swag_from('defs.yml')
def post():
validate(request.json, 'UserSchema', 'defs.yml')
# if not validate returns ValidationError response with status 400
# also returns the validation message.It is also possible to define validation=True in SwaggerView and also use
specs_dict for validation.
Take a look at examples/validation.py for more information.
All validation options can be found at http://json-schema.org/latest/json-schema-validation.html
By default Flasgger will use python-jsonschema to perform validation.
Custom validation functions are supported as long as they meet the requirements:
- take two, and only two, positional arguments:
- the data to be validated as the first; and
- the schema to validate against as the second argument
- raise any kind of exception when validation fails.
Any return value is discarded.
Providing the function to the Swagger instance will make it the default:
from flasgger import Swagger
swagger = Swagger(app, validation_function=my_validation_function)Providing the function as parameter of swag_from or swagger.validate
annotations or directly to the validate function will force it's use
over the default validation function for Swagger:
from flasgger import swag_from
@swag_from('spec.yml', validation=True, validation_function=my_function)
...from flasgger import Swagger
swagger = Swagger(app)
@swagger.validate('Pet', validation_function=my_function)
...from flasgger import validate
...
validate(
request.json, 'Pet', 'defs.yml', validation_function=my_function)You may wish to use schemas you defined in your Swagger specs as dictionaries
without replicating the specification. For that you can use the get_schema
method:
from flask import Flask, jsonify
from flasgger import Swagger, swag_from
app = Flask(__name__)
swagger = Swagger(app)
@swagger.validate('Product')
def post():
"""
post endpoint
---
tags:
- products
parameters:
- name: body
in: body
required: true
schema:
id: Product
required:
- name
properties:
name:
type: string
description: The product's name.
default: "Guarana"
responses:
200:
description: The product inserted in the database
schema:
$ref: '#/definitions/Product'
"""
rv = db.insert(request.json)
return jsonify(rv)
...
product_schema = swagger.get_schema('product')This method returns a dictionary which contains the Flasgger schema id, all defined parameters and a list of required parameters.
By default Flasgger will try to sanitize the content in YAML definitions
replacing every \n with <br> but you can change this behaviour
setting another kind of sanitizer.
from flasgger import Swagger, NO_SANITIZER
app =Flask()
swagger = Swagger(app, sanitizer=NO_SANITIZER)You can write your own sanitizer
swagger = Swagger(app, sanitizer=lambda text: do_anything_with(text))There is also a Markdown parser available, if you want to be able to render Markdown in your specs description use MK_SANITIZER
You can override the templates/flasgger/index.html in your application and
this template will be the index.html for SwaggerUI. Use flasgger/ui2/templates/index.html
as base for your customization.
Flasgger supports Swagger UI versions 2 and 3, The version 3 is still experimental but you
can try setting app.config['SWAGGER']['uiversion'].
app = Flask(__name__)
app.config['SWAGGER'] = {
'title': 'My API',
'uiversion': 3
}
swagger = Swagger(app)You can start your Swagger spec with any default data providing a template:
template = {
"swagger": "2.0",
"info": {
"title": "My API",
"description": "API for my data",
"contact": {
"responsibleOrganization": "ME",
"responsibleDeveloper": "Me",
"email": "me@me.com",
"url": "www.me.com",
},
"termsOfService": "http://me.com/terms",
"version": "0.0.1"
},
"host": "mysite.com", # overrides localhost:500
"basePath": "/api", # base bash for blueprint registration
"schemes": [
"http",
"https"
],
"operationId": "getmyData"
}
swagger = Swagger(app, template=template)And then the template is the default data unless some view changes it. You can also provide all your specs as template and have no views. Or views in external APP.
Custom configurations such as a different specs route or disabling Swagger UI can be provided to Flasgger:
swagger_config = {
"headers": [
],
"specs": [
{
"endpoint": 'apispec_1',
"route": '/apispec_1.json',
"rule_filter": lambda rule: True, # all in
"model_filter": lambda tag: True, # all in
}
],
"static_url_path": "/flasgger_static",
# "static_folder": "static", # must be set by user
"swagger_ui": True,
"specs_route": "/apidocs/"
}
swagger = Swagger(app, config=swagger_config)Definitions can be extracted when id is found in spec, example:
from flask import Flask, jsonify
from flasgger import Swagger
app = Flask(__name__)
swagger = Swagger(app)
@app.route('/colors/<palette>/')
def colors(palette):
"""Example endpoint returning a list of colors by palette
---
parameters:
- name: palette
in: path
type: string
enum: ['all', 'rgb', 'cmyk']
required: true
default: all
responses:
200:
description: A list of colors (may be filtered by palette)
schema:
id: Palette
type: object
properties:
palette_name:
type: array
items:
schema:
id: Color
type: string
examples:
rgb: ['red', 'green', 'blue']
"""
all_colors = {
'cmyk': ['cian', 'magenta', 'yellow', 'black'],
'rgb': ['red', 'green', 'blue']
}
if palette == 'all':
result = all_colors
else:
result = {palette: all_colors.get(palette)}
return jsonify(result)
app.run(debug=True)In this example you do not have to pass definitions but need to add id to
your schemas.