Skip to main content

A Django app for integration between django rest framework and RDF

Project description

[![Documentation Status](https://readthedocs.org/projects/restframework-rdf/badge/?version=latest)](https://restframework-rdf.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.8158686.svg)](https://doi.org/10.5281/zenodo.8158686)

# restframework-rdf

Django apps for integration between Resource Description Framework (RDF) and [django REST framework](https://www.django-rest-framework.org/). The repository contains two django apps, rdf for general RDF functionality and sparql to add views for SPARQL queries. The functionality is intended as generic and useful for any project that intends to expose an RDF database through a django REST framework API.

These apps were originally developed within the [read-it interface](https://github.com/UUDigitalHumanitieslab/readit-interface). The code was moved to this independent repository so it could be used in another application, [EDPOP](https://github.com/UUDigitalHumanitieslab/EDPOP).

Both of these applications are in active development; as such, this repository may see further updates to serve the needs of different applications. We welcome contributions to make the package more widely applicable.

However, be advised that this repository was primarily developed to be used in our own applications. It may not have the level of documentation that you would expect from a public-facing package. At the very least, the documentation will assume that you have basic familiarity with both RDF and django REST framework.

## Quick start

Follow the [getting started guide](/docs/getting-started.md) to use the app in a django project.

Usage documentation is available in the [documentation directory](/docs/) or [read the docs](https://restframework-rdf.readthedocs.io/en/latest/getting-started/)

## Development and unit tests

These steps are for development on the rdf app itself. Follow the steps below in order to run the unit tests.

### Blazegraph

Before you start, you need to install [Blazegraph](http://blazegraph.com/). The unit tests assume that you have a blazegraph server running and that the namespace ‘rdf-test’ is created. The following steps suffice to make this true.

Follow the [Blazegraph quick start guide](https://github.com/blazegraph/database/wiki/Quick_Start) to download and start the database server and a foreground process. While the server is running, you can access its web interface at http://localhost:9999. This lets you upload and download data, try out queries and review statistics about the dataset. The server can be stopped by typing ctrl-c. Visit the [web interface]( http://localhost:9999), navigate to the NAMESPACES tab. Use the create namespace form to create a new namespace. Choose rdf-test as a name, and set the mode to quads. All other checkboxes should be disabled. A popup is shown with additional settings. Leave these at their default values and choose Create. The created namespace should now appear in the list of namespaces. Choose use to use the rdf-test namespace when operating the web interface

### Running unit tests

  1. Clone this repository

  2. Install the required python packages via pip install -r requirements.txt

  3. Make sure your blazegraph server is running and that the rdf-test namespace exists in quads mode (see above).

  4. Run the unit tests with pytest.

### Usage during development

To use your work-in-progress drf app in a django project, build the package with

`bash python setup.py sdist `

You can now find the package in this repository under dist/restframework-drf-blablabla.tar.gz

To install the package in your project, install via pip as

`bash pip install path/to/repository/dist/restframework-drf-*.targ.gz `

### Documentation

Documentation (in the docs directory) is based on [MkDocs](https://www.mkdocs.org/).

You can browse the documentation in a development server by running

`bash mkdocs serve `

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

restframework_rdf-1.2.0.tar.gz (28.0 kB view details)

Uploaded Source

Built Distribution

restframework_rdf-1.2.0-py3-none-any.whl (32.2 kB view details)

Uploaded Python 3

File details

Details for the file restframework_rdf-1.2.0.tar.gz.

File metadata

  • Download URL: restframework_rdf-1.2.0.tar.gz
  • Upload date:
  • Size: 28.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for restframework_rdf-1.2.0.tar.gz
Algorithm Hash digest
SHA256 190e65c00c75eecfec41f8ef82563f37da3549140bd82da1b86236e2843e44d0
MD5 6b13175c49f60e6be91cef7c7bf2cc1f
BLAKE2b-256 f7e2d53de4cc46c52bd4ef68184921d5b121b7715b8b8c2e0feeadf6be9d8b76

See more details on using hashes here.

File details

Details for the file restframework_rdf-1.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for restframework_rdf-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ff6410d0c87e256e249e14e4b5c37eb75de6c2894d46e94fddb5fe8125301335
MD5 eef2a43452224f0b1bb4f637fad5d703
BLAKE2b-256 62d1950a112d76c1bbebc2cc04a93ddb88775de55b03e55830ad0b897b3584d2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page