Support for different versions of a dataset
by Aptivate

ckanext-datasetversions

This CKAN extension adds support for different versions of a dataset. Sometimes is is desirable to store and display together different versions of a dataset, for example a daily situation report-style map during a humanitarian crisis.

This plugin provides an action dataset_version_create, for example:

toolkit.get_action('dataset_version_create')(
    context, {
        'id': dataset['id'],
        'base_name': base_name,
        'owner_org': owner_org
    }
)

The plugin models dataset versions internally by creating a parent dataset, with minimal metadata and no resources. A child dataset is created for each version.

dataset_version_create will create a parent-child relationship between the dataset specified by base_name and that specified by id. If the dataset specified by base_name does not exist, it will be created.

Note that this plugin overrides CKAN’s package_show action. The original package_show is made available as ckan_package_show.

For datasets with different versions, the overridden package_show will return:

  • The latest, public, active version of the dataset if the parent name or id is specified
  • A specific version of the dataset if the child name or id is specified

The version ordering is determined by the integer value of version in the dataset metadata.

In addition, package_show will return a list of the names and URLs of all active versions as _versions in the dictionary.

The plugin provides templates to list versions of a dataset alongside that currently viewed and to warn the user if they are looking at an old version of a dataset.

Requirements

This plugin will not work ‘out of the box’. You will need to write code to call the dataset_version_create action. A site-specific example is available at https://github.com/aptivate/ckanext-mapactionimporter

This is known to work with CKAN 2.5.2, though note there are problems when purging datasets with relationships. See:

Installation

To install ckanext-datasetversions:

  1. Activate your CKAN virtual environment, for example:

    . /usr/lib/ckan/default/bin/activate
    
  2. Install the ckanext-datasetversions Python package into your virtual environment:

    pip install ckanext-datasetversions
    
  3. Add datasetversions to the ckan.plugins setting in your CKAN config file (by default the config file is located at /etc/ckan/default/production.ini).
  4. Restart CKAN. For example if you’ve deployed CKAN with Apache on Ubuntu:

    sudo service apache2 reload
    

Config Settings

None

Development Installation

To install ckanext-datasetversions for development, activate your CKAN virtualenv and do:

git clone https://github.com/aptivate/ckanext-datasetversions.git
cd ckanext-datasetversions
python setup.py develop
pip install -r dev-requirements.txt

Running the Tests

To run the tests, do:

nosetests --nologcapture --with-pylons=test.ini

To run the tests and produce a coverage report, first make sure you have coverage installed in your virtualenv (pip install coverage) then run:

nosetests --nologcapture --with-pylons=test.ini --with-coverage --cover-package=ckanext.datasetversions --cover-inclusive --cover-erase --cover-tests

Registering ckanext-datasetversions on PyPI

ckanext-datasetversions should be availabe on PyPI as https://pypi.python.org/pypi/ckanext-datasetversions. If that link doesn’t work, then you can register the project on PyPI for the first time by following these steps:

  1. Create a source distribution of the project:

    python setup.py sdist
    
  2. Register the project:

    python setup.py register
    
  3. Upload the source distribution to PyPI:

    python setup.py sdist upload
    
  4. Tag the first release of the project on GitHub with the version number from the setup.py file. For example if the version number in setup.py is 0.0.1 then do:

    git tag 0.0.1
    git push --tags
    

Releasing a New Version of ckanext-datasetversions

ckanext-datasetversions is availabe on PyPI as https://pypi.python.org/pypi/ckanext-datasetversions. To publish a new version to PyPI follow these steps:

  1. Update the version number in the setup.py file. See PEP 440 for how to choose version numbers.
  2. Create a source distribution of the new version:

    python setup.py sdist
    
  3. Upload the source distribution to PyPI:

    python setup.py sdist upload
    
  4. Tag the new release of the project on GitHub with the version number from the setup.py file. For example if the version number in setup.py is 0.0.2 then do:

    git tag 0.0.2
    git push --tags
    

About

Copyright (c) 2016 MapAction. Developed by Aptivate.

Development of v1 of this plugin was funded by ECHO.

"Funded by European Union Humanitarian Aid"

Recent Activity