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ckanext-nhm

Tests Coveralls CKAN Python Docs Specimen records

A CKAN extension for the Natural History Museum's Data Portal.

Overview

This extension provides theming and specific functionality for the Natural History Museum's Data Portal.

The codebase shows how to implement various plugins created by the Museum's developers; notably our new ElasticSearch datastore with versioned records.

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

Configuration

These are the options that can be specified in your .ini config file.

[REQUIRED]

Name Description Options
ckanext.nhm.specimen_resource_id ID for the specimens dataset
ckanext.nhm.indexlot_resource_id ID for the index lots dataset
ckanext.nhm.artefact_resource_id ID for the artefacts dataset
ckanext.nhm.abyssline_resource_id ID for the abyssline dataset

Usage

Actions

record_show

Retrieve an individual record.

from ckan.plugins import toolkit

data_dict = {
                'resource_id': RESOURCE_ID,
                'record_id': RECORD_ID,
                'version': OPTIONAL_RECORD_VERSION
            }

toolkit.get_action('record_show')(
    context,
    data_dict
)

object_rdf

Get record RDF from its occurrence ID.

from ckan.plugins import toolkit

data_dict = {
                'uuid': OCCURRENCE_ID,
                'version': OPTIONAL_RECORD_VERSION
            }

toolkit.get_action('object_rdf')(
    context,
    data_dict
)

Commands

create-dataset-vocabulary

Ensures the default dataset vocabulary and categories exists.

ckan -c $CONFIG_FILE nhm create-dataset-vocabulary

add-dataset-category

Adds the given category to the dataset category vocabulary.

ckan -c $CONFIG_FILE nhm delete-dataset-category $NAME

delete-dataset-category

Deletes the given dataset category from the vocabulary.

ckan -c $CONFIG_FILE nhm create-dataset-vocabulary $NAME

replace-resource-file

Replaces the file associated with $RESOURCE_ID with $PATH, e.g. to replace a small dummy file with a large one that was too big to upload initially.

ckan -c $CONFIG_FILE nhm replace-resource-file $RESOURCE_ID $PATH

Testing

There is a Docker compose configuration available in this repository to make it easier to run tests.

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.