https://github.com/CommonsDev/glutton

A Linked Data Platform (LDP) Server in Python
https://github.com/CommonsDev/glutton

Last synced: 5 days ago
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A Linked Data Platform (LDP) Server in Python

• Host: GitHub
• URL: https://github.com/CommonsDev/glutton
• Owner: CommonsDev
• License: agpl-3.0
• Created: 2014-10-29T00:00:02.000Z (about 10 years ago)
• Default Branch: develop
• Last Pushed: 2015-04-24T09:16:33.000Z (over 9 years ago)
• Last Synced: 2024-08-02T12:48:41.648Z (3 months ago)
• Language: Python
• Homepage: http://commonsdev.github.io/glutton/
• Size: 414 KB
• Stars: 13
• Watchers: 6
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Glutton

=======

An [asyncio](https://www.python.org/dev/peps/pep-3156/) implementation

of a [Linked Data Platform 1.0](http://www.w3.org/TR/ldp/) Server in Python3.

[![Support via Gratipay](http://img.shields.io/gratipay/glibersat.svg)](https://gratipay.com/glibersat/)

Current Status

--------------

Working, but limited support (Create, Read, Delete. No Update yet).

Alpha.

CRUD operations on RDF Sources but there are

known stability issues.

No Non-RDF Sources support yet.

You can track the progress via the

[Glutton conformance report](http://commonsdev.github.io/glutton/report/ldp-testsuite-execution-report.html)

generated by the

[W3C LDP Test Suite](http://w3c.github.io/ldp-testsuite/).

Requirements

------------

 * Python >= 3.4

 * pyvenv

Install

-------

 1. Create a venv with `pyvenv glutton-env`

 2. cd glutton-env

 3. source bin/activate

 4. git clone the app here

 5. cd glutton

 6. pip install -r requirements.txt

Run (development)

-----------------

### Setup a Triplestore

First, you need a

[triplestore](http://en.wikipedia.org/wiki/Triplestore) running that

speaks SPARQL 1.1 Query and Update.

I use [Fuseki](http://jena.apache.org/documentation/fuseki2/index.html)

during development. You can run it using:

  1. cd into the fuseki directory

  2. ./fuseki-server

  

If this is the first time you run it, you need to configure a dataset:

  1. Point your browser at [http://localhost:3030](http://localhost:3030)

  2. Click "Manage Datasets"

  3. Click "Add new dataset"

  4. Enter a name, e.g. "glutton"

  5. Hit "Create dataset"

  

Your SPARQL endpoints are now:

  - Query: [http://localhost:3030/glutton/query](http://localhost:3030/glutton/query)

  - Update: [http://localhost:3030/glutton/update](http://localhost:3030/glutton/update)

  

### Running Glutton

From the repository, in the glutton folder (NOT the toplevel one),

launch:

    api_hour -ac glutton:Container

Authors

-------

 - Guillaume Libersat ([email protected])