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Automated REST APIs for existing database-driven systems

Project description

sandman “makes things REST”. Have an existing database you’d like to expose via a REST API? Normally, you’d have to write a ton of boilerplate code for the ORM you’re using.

We’re programmers. We don’t write boilerplate.

Simple Setup

from sandman import app, db

app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///chinook'

from sandman.model import register, Model

class Artist(Model):
    __tablename__ = 'Artist'

class Album(Model):
    __tablename__ = 'Album'

class Playlist(Model):
    __tablename__ = 'Playlist'

register((Artist, Album, Playlist))

app.run()

Let’s start our new API server and make a request.

$ python runserver.py &
* Running on http://127.0.0.1:5000/

$ curl GET http://localhost:5000/artists

Here is the JSON returned:

{
    "ArtistId": 273,
    "Name": "C. Monteverdi, Nigel Rogers - Chiaroscuro; London Baroque; London Cornett & Sackbu",
    "links": [
    {
        "rel": "self",
        "uri": "/artists/ArtistId"
    }
    ]
},
{
    "ArtistId": 274,
    "Name": "Nash Ensemble",
    "links": [
    {
        "rel": "self",
        "uri": "/artists/ArtistId"
    }
    ]
},
{
    "ArtistId": 275,
    "Name": "Philip Glass Ensemble",
    "links": [
    {
        "rel": "self",
        "uri": "/artists/ArtistId"
    }
    ]
}
]

Batteries Included

With sandman, (almost) zero boilerplate code is required. Your existing database structure and schema is introspected and your database tables magically get a RESTful API. For each table, Sandman creates:

  • proper endpoints

  • support for a configurable set of HTTP verbs

    • GET

    • POST

    • PATCH

    • DELETE

  • responses with appropriate rel links automatically

  • essentially a HATEOAS-based service sitting in front of your database

Warning: Sandman is still very much a work in progress. It is not suitable for use anywhere. Don’t use it for anything important. It’s also often changing in backwards incompatible ways.

Project details


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sandman-0.2.3.2.tar.gz (9.0 kB view hashes)

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