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Flask-REST-JSONAPI

Flask-REST-JSONAPI is a flask extension to build REST api. It combines the power of Flask-Restless and the flexibility of Flask-RESTful around a strong specification JSONAPI 1.0. This framework is design to quickly build REST api and to fit the complexity of real life projects with legacy data and multiple data storages.

Install

pip install Flask-REST-JSONAPI

A minimal api

# -*- coding: utf-8 -*-

from flask import Flask
from flask_rest_jsonapi import Api, ResourceDetail, ResourceList
from flask_sqlalchemy import SQLAlchemy
from marshmallow_jsonapi.flask import Schema
from marshmallow_jsonapi import fields

# Create the Flask application and the Flask-SQLAlchemy object.
app = Flask(__name__)
app.config['DEBUG'] = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:////tmp/test.db'
db = SQLAlchemy(app)

# Create model
class Person(db.Model):
    id = db.Column(db.Integer, primary_key=True)
    name = db.Column(db.String)

# Create the database.
db.create_all()

# Create schema
class PersonSchema(Schema):
    class Meta:
        type_ = 'person'
        self_view = 'person_detail'
        self_view_kwargs = {'id': '<id>'}
        self_view_many = 'person_list'

    id = fields.Str(dump_only=True)
    name = fields.Str()

# Create resource managers
class PersonList(ResourceList):
    schema = PersonSchema
    data_layer = {'session': db.session,
                  'model': Person}

class PersonDetail(ResourceDetail):
    schema = PersonSchema
    data_layer = {'session': db.session,
                  'model': Person}

# Create the api
api = Api(app)
api.route(PersonList, 'person_list', '/persons')
api.route(PersonDetail, 'person_detail', '/persons/<int:id>')

# start the flask loop
if __name__ == '__main__':
    app.run()

This example provides this api:

Flask-REST-JSONAPI vs Flask-RESTful

• Instead of Flask-RESTful, Flask-REST-JSONAPI provides a default implementation of get, post, patch and delete methods around a strong specification JSONAPI 1.0. Thanks to this you can build REST api very quickly.
• Flask-REST-JSONAPI is as flexible as Flask-RESTful. You can rewrite every default methods implementation to make custom work like distributing object creation.

Flask-REST-JSONAPI vs Flask-Restless

• Flask-REST-JSONAPI is a real implementation of JSONAPI 1.0 specification. So instead of Flask-Restless, Flask-REST-JSONAPI force you to create a real logical abstration over your data models with Marshmallow. So you can create complex resource over your data.
• Instead of Flask-Restless, Flask-REST-JSONAPI can use any ORM or data storage through the data layer concept, not only SQLAlchemy. A data layer is a CRUD interface between your resource and one or more data storage so you can fetch data from any data storage of your choice or create resource that use multiple data storage.
• Like i said previously, Flask-REST-JSONAPI is a real implementation of JSONAPI 1.0 specification. So instead of Flask-Restless you can manage relationships via REST. You can create dedicated url to create a CRUD api to manage relationships.
• Plus Flask-REST-JSONAPI helps you to design your application with strong separation between resource definition (schemas), resource management (resource class) and route definition to get a great organization of your source code.
• Instead of Flask-Restless, Flask-REST-JSONAPI is highly customizable. For example you can entirely customize you urls, define multiple urls for the same resource manager,control serialization parameters of each methods and lot of very useful parameters.
• Finally instead of Flask-Restless, Flask-REST-JSONAPI provides a great error handling system according to JSONAPI 1.0. Plus the exception handling system really helps the api developer to quickly find missing resources requirements.

Documentation

Documentation available here: http://flask-rest-jsonapi.readthedocs.io/en/latest/

Thanks

Flask, marshmallow, marshmallow_jsonapi, sqlalchemy, Flask-RESTful and Flask-Restless are awesome project. These librairies give me inspiration to create Flask-REST-JSONAPI so huge thanks to authors and contributors.