Skip to main content

A CKAN extension that that connects with the GBIF API.

Project description

ckanext-gbif

Travis Coveralls CKAN Python

A CKAN extension that that connects with the GBIF API.

Overview

This extension retrieves additional data (e.g. DQIs) from the GBIF API for a record with an associated GBIF ID.

This extension also provides some templates for displaying these data.

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:
cd $INSTALL_FOLDER/src
git clone https://github.com/NaturalHistoryMuseum/ckanext-gbif.git
  1. Activate the virtual env:
. $INSTALL_FOLDER/bin/activate
  1. Install the requirements from requirements.txt:
cd $INSTALL_FOLDER/src/ckanext-gbif
pip install -r requirements.txt
  1. Run setup.py:
cd $INSTALL_FOLDER/src/ckanext-gbif
python setup.py develop
  1. Add 'gbif' to the list of plugins in your $CONFIG_FILE:
ckan.plugins = ... gbif

Configuration

There are a couple of options to be specified in your .ini config file.

Template variables [REQUIRED]

Name Description
ckanext.gbif.organisation_key For linking to the dataset publisher (i.e. https://gbif.org/publisher/ORG_KEY)
ckanext.gbif.dataset_key For linking to the dataset itself (i.e. https://gbif.org/dataset/DATA_KEY)

Usage

Actions

gbif_record_show

Get the associated GBIF data for a record.

from ckan.plugins import toolkit

gbif_record = toolkit.get_action(u'gbif_record_show')(context, {
    u'occurrence_id': record_gbif_occurrence_id
    })

Templates

The templates inherit from record/specimen.html and record/dwc.html and will insert a link to the GBIF view in the content_primary_nav block.

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
docker-compose build
  1. 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

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

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-gbif-2.0.0.tar.gz (28.1 kB view details)

Uploaded Source

Built Distributions

ckanext_gbif-2.0.0-py3.10.egg (15.3 kB view details)

Uploaded Source

ckanext_gbif-2.0.0-py3-none-any.whl (23.6 kB view details)

Uploaded Python 3

File details

Details for the file ckanext-gbif-2.0.0.tar.gz.

File metadata

  • Download URL: ckanext-gbif-2.0.0.tar.gz
  • Upload date:
  • Size: 28.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for ckanext-gbif-2.0.0.tar.gz
Algorithm Hash digest
SHA256 57f8e808776e8f24a74ae56f4ac8a14664ec7cb7064041144a81ef4532b0c06b
MD5 6732183261ad9ecf5232b62958f47c55
BLAKE2b-256 8add95b82e9ae894310c648a4cb12bfdc4c86c313a9de580ca78fb8643e22c3e

See more details on using hashes here.

File details

Details for the file ckanext_gbif-2.0.0-py3.10.egg.

File metadata

  • Download URL: ckanext_gbif-2.0.0-py3.10.egg
  • Upload date:
  • Size: 15.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for ckanext_gbif-2.0.0-py3.10.egg
Algorithm Hash digest
SHA256 19674ea2e2322d3ff2f9dfda9d7943635fa315c575146b83bca3751b15db7aec
MD5 aefb603afd20cb280358e9b28dbcfbda
BLAKE2b-256 122a0855f8c60295858fe1aaf641cd0a1b69288c27072cc138024c08080b060e

See more details on using hashes here.

File details

Details for the file ckanext_gbif-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: ckanext_gbif-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 23.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.8

File hashes

Hashes for ckanext_gbif-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 41ebb199f38aae717f251b6c8e37210af1c5bf13e7c8552deea33271f44d6200
MD5 955db103aabe4303fc0e9866903cbe22
BLAKE2b-256 3a6dff50c296b55efbf84a93319d6b87d0b7608021d9ddf432da55713efe479c

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