forked from geolba/tethys.frontend
Ongoing improvement in OpenSearch query
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@ -28,8 +28,8 @@ class DatasetService {
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public searchTerm(term: string, openCore: string, openHost: string): Observable<{ datasets: Dataset[], highlights: HitHighlight[] }> {
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// OpenSearch endpoint
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// const host = "https://" + openHost; // When using geoinformation.dev
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const host = "http://" + openHost; // When using local OpenSearch dev endpoint
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const host = "https://" + openHost; // When using geoinformation.dev
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// const host = "http://" + openHost; // When using local OpenSearch dev endpoint
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const path = "/" + openCore + "/_search";
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const base = host + path;
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/**
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@ -55,12 +55,20 @@ class DatasetService {
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// sort: [{ server_date_published: { order: "desc" } }],
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sort: [{ _score: { order: "desc" } }], // Sort by _score in descending order
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track_scores: true, // This ensures "_score" is included even when sorting by other criteria. Otherwise the relevance score is not calculated
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// aggs: {
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// subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
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// language: { terms: { field: "language" } }, // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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// author: { terms: { field: "author.keyword", size: 1000 } },
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// year: { terms: { field: "year", size: 100 } } // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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// },
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// HOME OFFICE ================================================================================
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aggs: {
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subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
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language: { terms: { field: "language" } }, // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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language: { terms: { field: "language.keyword" } }, // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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author: { terms: { field: "author.keyword", size: 1000 } },
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year: { terms: { field: "year", size: 100 } } // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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year: { terms: { field: "year.keyword", size: 100 } } // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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},
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// ===========================================================================================
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highlight: {
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fields: {
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title: {},
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@ -139,6 +147,140 @@ class DatasetService {
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openCore: string,
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openHost: string,
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start?: string, // Starting page
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): Observable<OpenSearchResponse> {
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// OpenSearch endpoint
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const host = "http://" + openHost; // When using local OpenSearch dev endpoint
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const path = "/" + openCore + "/_search";
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const base = host + path;
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// Determine search term and query fields based on the suggestion type
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let mainQuery;
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if (typeof suggestion === "string") { // If suggestion is a string, append a wildcard (*) for partial matches
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const lowercaseTerm = suggestion.toLowerCase()
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mainQuery = {
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bool: {
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should: [
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{ match: { title: { query: suggestion, fuzziness: "AUTO", boost: 3 } } },
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{ match: { author: { query: suggestion, fuzziness: "AUTO", boost: 2 } } },
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{ match: { subjects: { query: suggestion, fuzziness: "AUTO", boost: 1 } } },
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{ wildcard: { title: { value: `${lowercaseTerm}*`, boost: 3 } } },
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{ wildcard: { author: { value: `${lowercaseTerm}*`, boost: 2 } } },
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{ wildcard: { subjects: { value: `${lowercaseTerm}*`, boost: 1 } } }
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],
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minimum_should_match: 1
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}
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};
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} else if (suggestion instanceof Suggestion) { // If suggestion is a Suggestion object, form a specific query
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mainQuery = {
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match: {
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[suggestion.type]: {
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query: suggestion.value,
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operator: 'and' // all the terms in the query must be present in the field
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}
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}
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};
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}
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// Set default value for start if not provided
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const startValue = start ? parseInt(start) : 0;
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// Construct filter fields based on active filter categories
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const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
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terms: { [`${category}.keyword`]: values }
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}));
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// Construct the body of the OpenSearch query
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const body = {
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query: {
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bool: {
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must: [
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mainQuery, // Ensure the main query must be satisfied
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...filters // Ensure all filters must be satisfied
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]
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}
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},
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TODO: SEGUIR AQUI!
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// // THIS WORKS:
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// query: {
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// bool: {
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// "must": [
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// { "match": { "title": "blatt" } },
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// { "terms": { "subjects": "bayern" } }
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// ],
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// }
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// },
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// // TRY THIS
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// query: {
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// bool: {
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// "must": [
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// { "match": { "title": "blatt" } },
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// { "terms": { "subjects": "bayern" } }
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// { "terms": { "subjects": "salzburg" } }
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// ],
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// }
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// },
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// // TRY THIS
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// query: {
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// bool: {
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// "must": [
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// { "match": { "title": "blatt" } },
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// { "terms": { "subjects": "bayern" } }
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// ],
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// "should": [
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// { match: { title: { query: "blatt", fuzziness: "AUTO", boost: 3 } } },
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// { match: { author: { query: "blatt", fuzziness: "AUTO", boost: 2 } } },
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// { match: { subjects: { query: "blatt", fuzziness: "AUTO", boost: 1 } } },
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// { wildcard: { title: { value: "blatt", boost: 3 } } },
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// { wildcard: { author: { value: "blatt", boost: 2 } } },
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// { wildcard: { subjects: { value: "blatt", boost: 1 } } }
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// ],
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// minimum_should_match: 1
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// }
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// },
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size: 10,
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from: startValue,
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sort: [{ _score: { order: "desc" } }],
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track_scores: true,
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aggs: {
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subjects: { terms: { field: "subjects.keyword", size: 1000 } },
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language: { terms: { field: "language.keyword" } },
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author: { terms: { field: "author.keyword", size: 1000 } },
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year: { terms: { field: "year.keyword", size: 100 } }
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},
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highlight: {
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fields: {
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title: {},
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author: {},
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subjects: {}
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}
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}
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};
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console.log("mainQuery:", mainQuery);
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console.log("filters:", filters);
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console.log("body:", body);
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// Make API call to OpenSearch and return the result
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const stations = api.post<OpenSearchResponse>(base, body);
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return stations;
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}
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public facetedSearchOPEN2(
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suggestion: Suggestion | string,
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activeFilterCategories: ActiveFilterCategories,
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openCore: string,
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openHost: string,
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start?: string, // Starting page
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): Observable<OpenSearchResponse> {
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// OpenSearch endpoint
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// const host = "https://" + openHost; // When using geoinformation.dev
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@ -180,19 +322,21 @@ class DatasetService {
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}
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};
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// // Constructing Filters Based on Active Filter Categories
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// const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
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// // terms: { [`${category}.keyword`]: values }
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// terms: { [category]: values }
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// }));
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// HOME OFFICE ====================================================
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// Constructing Filters Based on Active Filter Categories
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const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
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terms: { [`${category}.keyword`]: values }
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}));
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// ================================================================
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const filters = Object.entries(activeFilterCategories).map(([category, values]) => {
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if (category === "language" || category === "year") {
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return { terms: { [category]: values } };
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} else {
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return { terms: { [`${category}.keyword`]: values } };
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}
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});
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// // Constructing Filters Based on Active Filter Categories
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// const filters = Object.entries(activeFilterCategories).map(([category, values]) => {
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// if (category === "language" || category === "year") {
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// return { terms: { [category]: values } };
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// } else {
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// return { terms: { [`${category}.keyword`]: values } };
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// }
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// });
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// console.log(activeFilterCategories);
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console.log("mainQuery:", mainQuery);
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@ -221,15 +365,23 @@ class DatasetService {
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from: start ? parseInt(start) : 0,
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sort: [{ _score: { order: "desc" } }],
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track_scores: true,
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aggs: { // Defines aggregations for facets
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// terms: Aggregation type that returns the most common terms in a field.
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// !For a large number of terms setting an extremely large size might not be efficient
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// If you genuinely need all unique terms and expect a large number of them, consider using a composite aggregation for more efficient pagination of terms.
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// aggs: { // Defines aggregations for facets
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// // terms: Aggregation type that returns the most common terms in a field.
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// // !For a large number of terms setting an extremely large size might not be efficient
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// // If you genuinely need all unique terms and expect a large number of them, consider using a composite aggregation for more efficient pagination of terms.
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// subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
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// language: { terms: { field: "language" } }, // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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// author: { terms: { field: "author.keyword", size: 1000 } },
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// year: { terms: { field: "year", size: 100 } } // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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// },
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// HOME OFFICE ================================================================================
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aggs: {
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subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
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language: { terms: { field: "language" } }, // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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language: { terms: { field: "language.keyword" } }, // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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author: { terms: { field: "author.keyword", size: 1000 } },
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year: { terms: { field: "year", size: 100 } } // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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year: { terms: { field: "year.keyword", size: 100 } } // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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},
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// ===========================================================================================
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highlight: {
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fields: {
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title: {},
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