import { lucene, lucene_instance, popisDat, SearchLens } from "./store.ts";import { sparql as $ } from "ldkit/sparql";import { DataFactory } from "ldkit/rdf";import { dcterms, skos } from "ldkit/namespaces";
console.log("CUSTOM SEARCH QUERY USING LUCENE GRAPHDB CONNECTOR");
const searchString = "ní*";const splitExactMatch = "<em>ní</em>";
const dataFactory = new DataFactory();const n = (value: string) => dataFactory.namedNode(value);
const s = (str: string) => `"${str}"`;
const query = $`CONSTRUCT { ?entity a ${n(skos.Concept)} ; ${n(skos.prefLabel)} ?label ; ${n(lucene.snippetText)} ?snippetText ; ${n(lucene.snippetField)} ?snippetField ; ${n(lucene.score)} ?score ; ${n(popisDat["je-pojmem-ze-slovníku"])} ?vocabulary ; ${n(dcterms.title)} ?vocabularyTitle .} WHERE { SELECT DISTINCT ?entity ?label ?snippetField ?snippetText ?score ?vocabulary ?vocabularyTitle { { ?search a ${n(lucene_instance.label_index)} } UNION { ?search a ${n(lucene_instance.defcom_index)} } ?search ${n(lucene.query)} ${s(searchString)} ; ${n(lucene.snippetSize)} 2000 ; ${n(lucene.entities)} ?entity . GRAPH ?g { ?entity a ${n(skos.Concept)} ; ${n(skos.prefLabel)} ?label . } ?entity ${n(popisDat["je-pojmem-ze-slovníku"])} ?vocabulary . ?vocabulary ${n(dcterms.title)} ?vocabularyTitle . ?entity ${n(lucene.score)} ?initScore ; ${n(lucene.snippets)} _:s . _:s ${n(lucene.snippetText)} ?snippetText ; ${n(lucene.snippetField)} ?snippetField . FILTER (lang(?label) = "cs") BIND(IF(lcase(str(?snippetText)) = lcase(str(${ s( splitExactMatch, )})), ?initScore * 2, IF(CONTAINS(lcase(str(?snippetText)), ${ s( splitExactMatch, )}), IF(?snippetField = "label", ?initScore * 1.5, ?initScore), ?initScore)) as ?exactMatchScore) BIND(IF(?snippetField = "label", ?exactMatchScore * 2, IF(?snippetField = "definition", ?exactMatchScore * 1.2, ?exactMatchScore)) as ?score) } ORDER BY desc(?score) LIMIT 100}`.toString();
console.log(query);
const results = await SearchLens.query(query);console.log("NUMBER OF RESULTS", results.length);for (const r of results) { console.log( r.label, r.score, r.snippetField, r.snippetText, r.vocabulary, r.vocabularyTitle, );}