HAL extension for Flask-RESTful
Project description
Flask-RESTful-HAL
Introduction
Flask-RESTful-HAL is an extension for Flask-RESTful. It adds support for building HAL APIs.
Installation
The latest version can be obtained from PyPI:
pip install flask-restful-hal
If you use Arch Linux or one of its derivatives, you can also install flask-restful-hal
from the
AUR:
yay -S python-flask-restful-hal
Usage
Flask-RESTful-HAL extends the Resource
base class of Flask-RESTful. Instead of defining a get
method, a data
method must be implemented which returns the contents of the resource class. In addition the two optional methods
embedded
and links
can be defined to describe which resources are embedded and linked to the current resource. All
three methods can be defined as staticmethod
if no data needs to be shared between the method invocations (see the
section about data sharing for more information).
Example of a minimal resource class
from flask import Flask
from flask_restful_hal import Api, Resource
TODOS = {
'todo1': {
'task': 'build an API'
},
'todo2': {
'task': '?????'
},
'todo3': {
'task': 'profit!'
},
}
class Todo(Resource):
@staticmethod
def data(todo):
return TODOS[todo]
app = Flask(__name__)
api = Api(app)
api.add_resource(Todo, '/todos/<todo>')
app.run()
In this example, the only required method data
is implemented and returns the requested todo entry as a Python
dictionary. By default, this dictionary is parsed to a json string and returned in an HTTP response with content type
application/hal+json
. If the Python package json2html
is installed, the client can request an HTML output as an
alternative (by sending Accept: text/html
).
When requesting the resource, the client may add the query string links=true
to get linked resources. Since no links
method is implemented, only the default self
link will be included in the response.
Example of a resource class with embedded and linked resources
from flask import Flask
from flask_restful_hal import Api, Embedded, Link, Resource
TODOS = {
'todo1': {
'task': 'build an API'
},
'todo2': {
'task': '?????'
},
'todo3': {
'task': 'profit!'
},
}
class Todo(Resource):
@staticmethod
def data(todo):
return TODOS[todo]
@staticmethod
def links(todo):
return Link('collection', '/todos')
class TodoList(Resource):
@staticmethod
def data():
return {'size': len(TODOS)}
@staticmethod
def embedded():
arguments_list = [(todo, ) for todo in sorted(TODOS.keys())]
return Embedded('items', Todo, *arguments_list)
@staticmethod
def links():
arguments_list = [('/todos/{}'.format(todo), {'title': todo}) for todo in sorted(TODOS.keys())]
return Link('items', *arguments_list)
app = Flask(__name__)
api = Api(app)
api.add_resource(TodoList, '/todos')
api.add_resource(Todo, '/todos/<todo>')
app.run()
- Links can be added by returning one or multiple
Link
objects from a staticlinks
routine. TheLink
constructor takes a relationship (e.g.collection
,up
oritem
) and one or multiple link targets. Link targets can either be expressed as a string (href attribute) or as a tuple consisting of a href string and a dictionary with extra attributes. In the exampletitle
is used as an extra attribute. - Embedded resources are expressed with one or multiple
Embedded
objects. Again, the first parameter is a relationship. The second parameter is the embedded resource class and the following parameters are tuples with constructor arguments for that class.
By default, no resources are embedded. Embedding resources can be requested with the query string embed=true
which
affects all resources recursively (embedded resources can embed resources as well). This behavior can be changed by
specifying a concrete level of embedding (e.g. embed=2
would only embed two levels of resources).
Sharing data between methods
In most cases, the data
, embedded
and links
methods need access to the same data source. In order to avoid
accessing the data backend (for example a database) three times with similar queries you can define a forth pre_hal
method which is called on every GET
request before data
, embedded
or links
are executed. In pre_hal
you can
access the data backend and cache the result in instance variables of the current resource object.
class TodoList(Resource):
def pre_hal(self, embed, include_links, todo):
self.todos = db.query(...)
def data(self):
return {'size': len(self.todos)}
def embedded(self):
arguments_list = [(todo, ) for todo in sorted(self.todos.keys())]
return Embedded('items', Todo, *arguments_list)
def links(self):
arguments_list = [('/todos/{}'.format(todo), {'title': todo}) for todo in sorted(self.todos.keys())]
return Link('items', *arguments_list)
Securing API endpoints
Flask-RESTful-HAL does not include any authorization mechanisms to secure your api endpoints. However, you can easily
integrate available Flask extensions by overriding the Resource
class. The following example uses
Flask-JWT-Extended to secure GET
requests with JSON Web
Tokens. Tokens are generated by a special endpoint /auth_token
that is secured with basic auth:
from flask import Flask, g, jsonify
from flask_httpauth import HTTPBasicAuth
from flask_jwt_extended import JWTManager, create_access_token, jwt_required
from flask_restful import Resource as RestResource
from flask_restful_hal import Api, Embedded, Link, Resource as HalResource
TODOS = {
'todo1': {
'task': 'build an API'
},
'todo2': {
'task': '?????'
},
'todo3': {
'task': 'profit!'
},
}
http_basic_auth = HTTPBasicAuth()
@http_basic_auth.verify_password
def verify_password(username, password):
g.username = username
# TODO: implement some check here...
return True
class SecuredHalResource(HalResource):
@jwt_required
def get(self, **kwargs):
return super().get(**kwargs)
class AuthToken(RestResource):
@http_basic_auth.login_required
def get(self):
auth_token = create_access_token(identity=g.username)
return jsonify({'auth_token': auth_token})
class Todo(SecuredHalResource):
@staticmethod
def data(todo):
return TODOS[todo]
app = Flask(__name__)
app.config['PROPAGATE_EXCEPTIONS'] = True # must be set, otherwise jwt error handling won't work with flask-restful
app.config['JWT_SECRET_KEY'] = 'use your super secret key here!'
JWTManager(app)
api = Api(app)
api.add_resource(AuthToken, '/auth_token')
api.add_resource(Todo, '/todos/<todo>')
app.run()
Tokens requested with the /auth_token
endpoint can then be used in the HTTP authorization header with the Bearer
scheme to gain access to secured resources:
Authorization: Bearer <token>
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