Skip to main content

A CKAN extension for embedding Sketchfab models as views.

Project description

ckanext-sketchfab

Tests Coveralls CKAN Python Docs

A CKAN extension for embedding Sketchfab models as views.

Overview

A Sketchfab 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, and several examples of the plugin in use in this dataset 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

Installing from PyPI

pip install ckanext-sketchfab

Installing from source

  1. Clone the repository into the src folder:

    cd $INSTALL_FOLDER/src
    git clone https://github.com/NaturalHistoryMuseum/ckanext-sketchfab.git
    
  2. Activate the virtual env:

    . $INSTALL_FOLDER/bin/activate
    
  3. Install via pip:

    pip install $INSTALL_FOLDER/src/ckanext-sketchfab
    

Installing in editable mode

Installing from a pyproject.toml in editable mode (i.e. pip install -e) requires setuptools>=64; however, CKAN 2.9 requires setuptools==44.1.0. See our CKAN fork for a version of v2.9 that uses an updated setuptools if this functionality is something you need.

Post-install setup

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

There is a Docker compose configuration available in this repository to make it easier to run tests. The ckan image uses the Dockerfile in the docker/ folder.

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

  1. Build the required images:

    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.

    docker-compose run ckan
    

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

ckanext-sketchfab-2.1.4.tar.gz (19.5 kB view details)

Uploaded Source

Built Distribution

ckanext_sketchfab-2.1.4-py3-none-any.whl (19.5 kB view details)

Uploaded Python 3

File details

Details for the file ckanext-sketchfab-2.1.4.tar.gz.

File metadata

  • Download URL: ckanext-sketchfab-2.1.4.tar.gz
  • Upload date:
  • Size: 19.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.1

File hashes

Hashes for ckanext-sketchfab-2.1.4.tar.gz
Algorithm Hash digest
SHA256 bc93651fa31c37162629ee285855ab86b36e9e8cd23016fabc53798dc8b70a76
MD5 bdceb53c035188bea2645ea43e07b38a
BLAKE2b-256 7ca7f6532bfd61961cd94019dbe485f175cfab17d8cffe219985963a04231b19

See more details on using hashes here.

File details

Details for the file ckanext_sketchfab-2.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for ckanext_sketchfab-2.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 87689dd9766d4f3603c6e15909985d6ee7adb9b5e68314e2f1d55b001d7948a3
MD5 b7665d3c1f3f48a98a4982144e3bf38d
BLAKE2b-256 543cf41730b63a2534f1f24a0e7aff3b5e8237656f19e801f8ca55c6c84201c2

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