def searchWithQuery(cls, query, indexReader, taxoReader, facets_config): """ Search an index with facets for a given query return a list of FacetResult instances """ # prepare searcher to search against searcher = IndexSearcher(indexReader) # create a FacetsCollector to use in our facetted search: facets_collector = FacetsCollector() FacetsCollector.search(searcher, query, 10, facets_collector) # Count both "Categories" and "Author" dimensions facets = FastTaxonomyFacetCounts(taxoReader, facets_config, facets_collector) results = [] facet_result = facets.getTopChildren(10, "Categories") if facet_result: results.append(facet_result) print "Categories: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) facet_result = facets.getTopChildren(10, "Categories", "root", "a") if facet_result: results.append(facet_result) print "Root-a-Categories: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) facet_result = facets.getTopChildren(10, "Author") if facet_result: results.append(facet_result) print "Author: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) return results
def searchWithQuery(cls, query, indexReader, taxoReader, facets_config): """ Search an index with facets for a given query return a list of FacetResult instances """ # prepare searcher to search against searcher = IndexSearcher(indexReader) # create a FacetsCollector to use in our facetted search: facets_collector = FacetsCollector() FacetsCollector.search(searcher, query, 10, facets_collector) # Count both "Categories" and "Author" dimensions facets = FastTaxonomyFacetCounts(taxoReader, facets_config, facets_collector) results = [] facet_result = facets.getTopChildren(10, "Categories") if facet_result: results.append(facet_result) print "Categories: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) facet_result = facets.getTopChildren(10, "Categories", "root", "a") if facet_result: results.append(facet_result) print "Root-a-Categories: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) facet_result = facets.getTopChildren(10, "Author") if facet_result: results.append(facet_result) print "Author: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) return results
def searchWithDrillDown(cls, drilldownCategory, indexReader, taxoReader, facets_config): """ Search an index with facets drill-down. return a list of FacetResult instances """ # User drills down on 'Categories' "root/a/f1" and we return facets for 'Author' searcher = IndexSearcher(indexReader) # Passing no baseQuery means we drill down on all documents ("browse only"): query = DrillDownQuery(facets_config) # Now user drills down on Publish Date/2010: query.add("Categories", drilldownCategory) facets_collector = FacetsCollector() FacetsCollector.search(searcher, query, 10, facets_collector) # Retrieve results facets = FastTaxonomyFacetCounts(taxoReader, facets_config, facets_collector) facet_result = facets.getTopChildren(10, "Author") print "Author: ", facet_result.childCount for lv in facet_result.labelValues: print " '%s' (%s)" % (lv.label, lv.value) return facet_result