Metadata-Version: 2.1
Name: ckanext-sketchfab
Version: 2.0.0
Summary: A CKAN extension for embedding Sketchfab models as views.
Home-page: https://github.com/NaturalHistoryMuseum/ckanext-sketchfab
Author: Natural History Museum
Author-email: data@nhm.ac.uk
License: GNU GPLv3
Keywords: CKAN data sketchfab
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/markdown

<img src=".github/nhm-logo.svg" align="left" width="150px" height="100px" hspace="40"/>

# ckanext-sketchfab

[![Travis](https://img.shields.io/travis/NaturalHistoryMuseum/ckanext-sketchfab/master.svg?style=flat-square)](https://travis-ci.org/NaturalHistoryMuseum/ckanext-sketchfab)
[![Coveralls](https://img.shields.io/coveralls/github/NaturalHistoryMuseum/ckanext-sketchfab/master.svg?style=flat-square)](https://coveralls.io/github/NaturalHistoryMuseum/ckanext-sketchfab)
[![CKAN](https://img.shields.io/badge/ckan-2.9.1-orange.svg?style=flat-square)](https://github.com/ckan/ckan)
[![Python](https://img.shields.io/badge/python-3.6%20%7C%203.7%20%7C%203.8-blue.svg?style=flat-square)](https://www.python.org/)

_A CKAN extension for embedding Sketchfab models as views._


# Overview

A [Sketchfab](https://sketchfab.com) view can be added to _any_ resource, regardless of whether the original data are related to the model. The view can use either the resource's URL (if the resource links directly to a sketchfab model) or one can be specified when creating the view.

You can see some of the Natural History Museum's 3D scans [on Sketchfab](https://sketchfab.com/NHM_Imaging), and several examples of the plugin in use in [this dataset](https://data.nhm.ac.uk/dataset/3d-cetacean-scanning) on the Museum's Data Portal.


# Installation

Path variables used below:
- `$INSTALL_FOLDER` (i.e. where CKAN is installed), e.g. `/usr/lib/ckan/default`
- `$CONFIG_FILE`, e.g. `/etc/ckan/default/development.ini`

1. Clone the repository into the `src` folder:

  ```bash
  cd $INSTALL_FOLDER/src
  git clone https://github.com/NaturalHistoryMuseum/ckanext-sketchfab.git
  ```

2. Activate the virtual env:

  ```bash
  . $INSTALL_FOLDER/bin/activate
  ```

3. Install the requirements from requirements.txt:

  ```bash
  cd $INSTALL_FOLDER/src/ckanext-sketchfab
  pip install -r requirements.txt
  ```

4. Run setup.py:

  ```bash
  cd $INSTALL_FOLDER/src/ckanext-sketchfab
  python setup.py develop
  ```

5. Add 'sketchfab' to the list of plugins in your `$CONFIG_FILE`:

  ```ini
  ckan.plugins = ... sketchfab
  ```

# Configuration

There are currently no configuration options for this extension.


# Usage

After installing, the "Sketchfab" view type will become available for resource maintainers. Add the new view and provide the URL to a Sketchfab model where prompted.


# Testing
_Test coverage is currently extremely limited._

To run the tests in this extension, there is a Docker compose configuration available in this
repository to make it easy.

To run the tests against ckan 2.9.x on Python3:

1. Build the required images
```bash
docker-compose build
```

2. Then run the tests.
   The root of the repository is mounted into the ckan container as a volume by the Docker compose
   configuration, so you should only need to rebuild the ckan image if you change the extension's
   dependencies.
```bash
docker-compose run ckan
```

The ckan image uses the Dockerfile in the `docker/` folder which is based on `openknowledge/ckan-dev:2.9`.
