CKAN QA Extension
Python HTML Shell
Latest commit 5e9bc35 Nov 25, 2016 @davidread davidread committed on GitHub Merge pull request #39 from mikkonieminen/master
Constrain openness stars inside a separate block for easier customization

README.rst

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CKAN QA Extension (Quality Assurance)

The ckanext-qa extension will check each of your dataset resources in CKAN and give them an 'openness score' based Tim Berners-Lee's five stars of openness (http://lab.linkeddata.deri.ie/2010/star-scheme-by-example)

The openness score is displayed as stars on the dataset and resource pages.

Stars on the dataset Stars spelled out on the resource

It also provides a report that allows you to view the openness (stars ratings) across a publisher or across them all:

Openness report (star ratings) for a publisher

Requirements

Before installing ckanext-qa, make sure that you have installed the following:

Optional:

Known issues:

  • if the CKAN version is earlier than 2.3 then QA and Archiver information will not display on the resource read page.

Installation

To install ckanext-qa, ensure you have previously installed ckanext-archiver (v2.0+) and ckanext-report and then:

  1. Activate your CKAN virtual environment, for example:

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

    pip install -e git+http://github.com/okfn/ckanext-qa.git#egg=ckanext-qa
    
  3. Install the qa dependencies:

    pip install -r ckanext-qa/requirements.txt
    
  4. Now create the database tables:

    paster --plugin=ckanext-qa qa init --config=production.ini
    
  5. Add qa to the ckan.plugins setting BEFORE archiver in your CKAN config file (by default the config file is located at /etc/ckan/default/production.ini).

  6. Restart CKAN. For example if you've deployed CKAN with Apache on Ubuntu:

    sudo service apache2 reload
    

Upgrade from version 0.1 to 2.x

NB You should upgrade ckanext-archiver and ckanext-qa from v0.1 to 2.x in one go. Upgrade ckanext-archiver first and then carry out the following:

  1. Activate your CKAN virtual environment, for example:

    . /usr/lib/ckan/default/bin/activate
    
  2. Upgrade the ckanext-qa Python package:

    cd ckanext-qa
    git pull
    python setup.py develop
    
  3. Create the new database tables:

    paster --plugin=ckanext-qa qa init --config=production.ini
    
  4. Install the normal and developer dependencies:

    pip install -r requirements.txt
    pip install -r dev-requirements.txt
    
  5. Migrate your database to the new QA tables:

    python ckanext/qa/bin/migrate_task_status.py --write production.ini
    
  6. (Re)start the paster celeryd2 run processes described for ckanext-archiver.

Configuration

You must make sure that the following is set in your CKAN config:

ckan.site_url = <URL to your CKAN instance>

Optionally you can configure a different set of scores to award each resource format:

qa.resource_format_openness_scores_json = <filepath>

The default value is resource_format_openness_scores.json)

Running

First, make sure that Celery is running for the priority and bulk queues. This is explained in the ckanext-archiver README:

[Using Archiver](https://github.com/ckan/ckanext-archiver#using-archiver)

QA is performed when a dataset/resource is archived, or you can run it manually using a paster command:

paster --plugin=ckanext-qa qa update [dataset] --config=production.ini

Here dataset is a CKAN dataset name or ID, or you can omit it to do the QA on all datasets.

For a full list of manual commands run:

paster --plugin=ckanext-qa qa --help

Once the QA has run for a dataset, you will see the stars displayed on the dataset's web page, and the detected file format available when you call package_show for it, in the qa for the dataset and each resource.

You can get an overall picture by generating an Openness report:

paster --plugin=ckanext-report report generate openness --config=production.ini

And view it on your CKAN site at /report/openness.

Tests

To run the tests:

  1. Activate your CKAN virtual environment, for example:

    . /usr/lib/ckan/default/bin/activate
    
  2. If not done already, install the dev requirements:

    (pyenv)~/pyenv/src/ckan$ pip install ../ckanext-qa/dev-requirements.txt
    
  3. From the CKAN root directory (not the extension root) do:

    (pyenv)~/pyenv/src/ckan$ nosetests --ckan ../ckanext-qa/tests/ --with-pylons=../ckanext-qa/test-core.ini
    

If you get error "MagicException: None" then it may be due to libmagic needing an update. Try:

sudo apt-get install libmagic1

Questions

The archiver info shows on the dataset/resource pages but the QA doesn't

You need to ensure that in your ckan.plugins you have qa listed BEFORE archiver or else the template inheritance doesn't work and this happens.