ckanext-suggest

An extension that utilizes Solr Suggest component to provide auto-suggest feature in CKAN's main dataset search.

Requirements

Compatibility with core CKAN versions:

CKAN version	Compatible?
2.6 and earlier	not tested
2.7	not tested
2.8	not tested
2.9	yes

Installation

To install ckanext-suggest:

1. In order to enable SOLR suggest component you need to edit solrconfig.xml in your application's SOLR core settings and add the following snippet in the components section:

 <!-- Suggester Component

       The SuggestComponent in Solr provides users 
       with automatic suggestions for query terms.
  -->
  <searchComponent name="suggest" class="solr.SuggestComponent">
    <lst name="suggester">
      <str name="name">datasetTitleSuggester</str>
      <str name="lookupImpl">AnalyzingInfixLookupFactory</str>
      <str name="dictionaryImpl">DocumentDictionaryFactory</str>
      <str name="field">title</str>
      <str name="minPrefixChars">2</str>
      <str name="suggestAnalyzerFieldType">text</str>
      <str name="buildOnStartup">false</str>
      <str name="highlight">false</str>
    </lst>
    <lst name="suggester">
      <str name="name">datasetNotesSuggester</str>
      <str name="lookupImpl">AnalyzingInfixLookupFactory</str>
      <str name="dictionaryImpl">DocumentDictionaryFactory</str>
      <str name="field">notes</str>
      <str name="minPrefixChars">2</str>
      <str name="suggestAnalyzerFieldType">text</str>
      <str name="buildOnStartup">false</str>
      <str name="highlight">false</str>
    </lst>
    <lst name="suggester">
      <str name="name">datasetTagsSuggester</str>
      <str name="lookupImpl">FuzzyLookupFactory</str>
      <str name="dictionaryImpl">DocumentDictionaryFactory</str>
      <str name="field">tags</str>
      <str name="suggestAnalyzerFieldType">text</str>
      <str name="buildOnStartup">false</str>
    </lst>
  </searchComponent>

  <!-- A request handler for demonstrating the suggest component.
  -->
  <requestHandler name="/suggest" class="solr.SearchHandler" startup="lazy">
    <lst name="defaults">
      <str name="suggest">true</str>
      <str name="suggest.count">5</str>
      <str name="suggest.dictionary">datasetTitleSuggester</str>
      <str name="suggest.dictionary">datasetNotesSuggester</str>
      <str name="suggest.dictionary">datasetTagsSuggester</str>
    </lst>
    <arr name="components">
      <str>suggest</str>
    </arr>
  </requestHandler>

2. Restart SOLR:

sudo service solr restart

4. Activate your CKAN virtual environment, for example:

. /usr/lib/ckan/default/bin/activate

6. Clone the source and install it on the virtualenv

git clone https://github.com/keitaroinc/ckanext-suggest.git
cd ckanext-suggest
pip install -e .
pip install -r requirements.txt

8. Add suggest to the ckan.plugins setting in your CKAN config file (by default the config file is located at /etc/ckan/default/ckan.ini).

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

sudo service apache2 reload

8. Build the lookup data structure in SOLR:

ckan -c /etc/ckan/default/ckan.ini suggest buid

9. Set up a CRON job that will update the lookup data structure on regular basis, for example:

@daily ckan -c /etc/ckan/default/ckan.ini suggest buid

Config settings

None at the moment.

Developer installation

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

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

Tests

To run the tests, do:

pytest --ckan-ini=test.ini

Releasing a new version of ckanext-suggest

If ckanext-suggest should be available on PyPI you can follow these steps to publish a new version:

1. Update the version number in the setup.py file. See PEP 440 for how to choose version numbers.

2. Make sure you have the latest version of necessary packages:

   pip install --upgrade setuptools wheel twine

3. Create a source and binary distributions of the new version:

   python setup.py sdist bdist_wheel && twine check dist/*
   

   Fix any errors you get.

4. Upload the source distribution to PyPI:

   twine upload dist/*
   

5. Commit any outstanding changes:

   git commit -a
   git push
   

6. 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 0.0.1 then do:

   git tag 0.0.1
   git push --tags
   

License

AGPL