Note: this is a fork of the original miLibris/flask-rest-jsonapi repo, with my pull requests merged. I have also published this fork to PyPi as `flapison`, allowing other projects to depend on this. If you would like your changes to Flapison in my fork, please submit your pull requests here

Flapison

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

Install

pip install flapison

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.Integer(as_string=True, 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 object
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 the following API structure:

URL	method	endpoint	Usage
/persons	GET	person_list	Get a collection of persons
/persons	POST	person_list	Create a person
/persons/<int:person_id>	GET	person_detail	Get person details
/persons/<int:person_id>	PATCH	person_detail	Update a person
/persons/<int:person_id>	DELETE	person_detail	Delete a person

Flapison vs Flask-RESTful

• In contrast to Flask-RESTful, Flapison 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.
• Flapison is as flexible as Flask-RESTful. You can rewrite every default method implementation to make custom work like distributing object creation.

Flapison vs Flask-Restless

• Flapison is a real implementation of JSONAPI 1.0 specification. So in contrast to Flask-Restless, Flapison forces you to create a real logical abstration over your data models with Marshmallow. So you can create complex resource over your data.
• In contrast to Flask-Restless, Flapison 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 storages.
• Like I said previously, Flapison is a real implementation of JSONAPI 1.0 specification. So in contrast to Flask-Restless you can manage relationships via REST. You can create dedicated URL to create a CRUD API to manage relationships.
• Plus Flapison 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.
• In contrast to Flask-Restless, Flapison is highly customizable. For example you can entirely customize your URLs, define multiple URLs for the same resource manager, control serialization parameters of each method and lots of very useful parameters.
• Finally in contrast to Flask-Restless, Flapison 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/

Thanks

Flask, marshmallow, marshmallow_jsonapi, sqlalchemy, Flask-RESTful and Flask-Restless are awesome projects. These libraries gave me inspiration to create Flapison, so huge thanks to authors and contributors.