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This cube implements facets using postgresql text search vectors.

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Summary

This cube implements facets using postgresql text search vectors.

What does this cube offer ?

This cube defines a new CubicWeb AppObject registry: tsfacets. The base class is cubicweb_tsfacets.views.TSFacets; it provides three methods allowing to recover information to use facets in a CubicWeb application:

  • get_facets_values_with_count, which recovers all available facets with how many target entities it filters for each value;

  • get_target_entities_count, which counts target entities taking into account the selected facets and possibly a RQL request to restrict results;

  • get_target_entities_rset, which builds a CubicWeb ResultSet taking into account the selected facets and possibly a RQL request to restrict results.

How to use it ?

For each group of facets, you have to define a child class of cubicweb_tsfacets.views.TSFacets. Then, you have to complete the following attributes:

  • key_names_to_rql_definition: a dictionary linking each facet key to a RQL query returning a list of tuples: (entity eid to retrieve if selecting this facet, value of the facet);

  • text_search_indexation: a RQL request returning a list of tuples: (target entity eid, text to index for full text search). This attribute is optional, and is only used if you want to add text search to your result list. Note: this feature will be added in an upcoming version;

  • target_etypes: which entity types are targeted by your facet search;

  • table_name: the name of the specific postgresql table.

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