- Code cleaning for OpenSearch
- Added comments - Facets menu small change
This commit is contained in:
parent
50ab318854
commit
6f1b9f4c5f
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@ -76,7 +76,10 @@ export default FacetCategory;
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flex-grow: 1;
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flex-shrink: 0;
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/* padding: 0.75rem; */
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padding: 0.75em 2em;
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padding-top: 0em;
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padding-right: 2em;
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padding-bottom: 0.75em;
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padding-left: 2em;
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justify-content: left;
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}
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@ -89,6 +92,7 @@ export default FacetCategory;
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}
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.panel-body {
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padding: 0 2em;
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padding-bottom: 0.75em; /* Increase padding at the bottom */
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}
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.disabled {
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161
src/services/dataset.service - Tests with OpenSearch
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161
src/services/dataset.service - Tests with OpenSearch
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@ -0,0 +1,161 @@
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// public facetedSearchOPEN(
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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 = openHost;
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// const path = "/" + openCore + "/_search";
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// const base = host + path;
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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: { [`${category}.keyword`]: values } };
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// }
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// });
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// console.log("filters:", filters);
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// // Determine search term and query fields based on the suggestion type
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// let query;
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// if (typeof suggestion === "string") { // If suggestion is a string, append a wildcard (*) for partial matches
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// const lowercaseTerm = suggestion.toLowerCase()
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// query = {
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// bool: {
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// should: [
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// { match: { title: { query: suggestion, fuzziness: "AUTO", boost: 3 } } },
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// { match: { author: { query: suggestion, fuzziness: "AUTO", boost: 2 } } },
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// { match: { subjects: { query: suggestion, fuzziness: "AUTO", boost: 1 } } },
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// { wildcard: { title: { value: `${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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// query = {
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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 e.g. if is a title, the complete title
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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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// // console.log(activeFilterCategories);
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// // console.log("mainQuery:", mainQuery);
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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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// // // WORKS // Expected: 12 results
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// // query: {
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// // bool: {
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// // "must": [
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// // { "term": { "language": "en" } },
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// // { "term": { "subjects.keyword": "Lower Austria" } },
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// // { "term": { "subjects.keyword": "counting data" } }
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// // ],
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// // }
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// // },
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// // // THIS WORKS: // Expected: 19 results
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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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// // { "term": { "subjects": "bayern" } }
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// // ],
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// // }
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// // },
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// // // WORKS // Expected: 4 results
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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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// // { "term": { "subjects": "bayern" } },
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// // { "term": { "subjects": "salzburg" } }
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// // ],
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// // }
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// // },
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// // // WORKS // Expected: 2 results
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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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// // { "term": { "subjects": "ungarn" } },
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// // { "term": { "subjects": "steiermark" } }
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// // ],
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// // }
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// // },
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// // WORKS // Expected: 12 results
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// query: {
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// bool: {
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// "must": [
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// { "term": { "language": "en" } },
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// { "term": { "subjects.keyword": "Lower Austria" } },
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// { "term": { "subjects.keyword": "counting data" } }
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// ],
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// "should": [
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// { match: { title: { query: "halger", fuzziness: "AUTO", boost: 3 } } },
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// { match: { author: { query: "halger", fuzziness: "AUTO", boost: 2 } } },
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// { match: { subjects: { query: "halger", fuzziness: "AUTO", boost: 1 } } },
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// { wildcard: { title: { value: "halger", boost: 3 } } },
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// { wildcard: { author: { value: "halger", boost: 2 } } },
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// { wildcard: { subjects: { value: "halger", 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" } },
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// author: { terms: { field: "author.keyword", size: 1000 } },
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// year: { terms: { field: "year", 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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@ -1,5 +1,4 @@
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import api from "../api/api";
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// import { Observable, of } from "rxjs";
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import { Observable } from "rxjs";
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import { tap, map } from "rxjs/operators";
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import { Dataset, DbDataset, Suggestion } from "@/models/dataset";
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@ -10,33 +9,23 @@ import { deserialize } from "class-transformer";
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class DatasetService {
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/**
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* Fetch data from the OpenSearch endpoint with fuzzy search enabled.
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* This function allows for misspellings in the search term and boosts
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* the relevance of matches in the title, author, and subject fields.
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*
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* @param {string} searchTerm - The search term to query.
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* Search datasets with OpenSearch API, allowing for fuzzy search and boosting relevance in title, author, and subject fields.
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* @param {string} searchTerm - Search query term
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* @param {string} openCore - The OpenSearch core to search in
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* @param {string} openHost - The OpenSearch host URL
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* @returns {Observable} - Observable emitting datasets and their highlights
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*/
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/* https://tethys.at/solr/rdr_data/select?&0=fl%3Did%2Clicence%2Cserver_date_published%2Cabstract_output%2Cidentifier%2Ctitle_output%2Ctitle_additional%2Cauthor%2Csubject%2Cdoctype&q=%2A
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&q.op=or&defType=edismax&qf=title%5E3%20author%5E2%20subject%5E1&indent=on&wt=json&rows=10&start=0&sort=server_date_published%20desc&facet=on&json.facet.language=%7B%20type%3A%20%22
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terms%22%2C%20field%3A%20%22language%22%20%7D&json.facet.subject=%7B%20type%3A%20%22terms%22%2C%20field%3A%20%22subject%22%2C%20limit%3A%20-1%20%7D&json.facet.year=%7B%20type%3A%20%22
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terms%22%2C%20field%3A%20%22year%22%20%7D&json.facet.author=%7B%20type%3A%20%22terms%22%2C%20field%3A%20%22author_facet%22%2C%20limit%3A%20-1%20%7D
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*/
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// private openSearchUrl = "http://opensearch.geoinformation.dev/tethys-records/_search";
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// private openSearchUrl = "http://192.168.21.18/tethys-records/_search";
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public searchTerm(term: string, openCore: string, openHost: string): Observable<{ datasets: Dataset[], highlights: HitHighlight[] }> {
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// console.log("SEARCHTERM");
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// OpenSearch endpoint
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const host = 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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const host = openHost; // OpenSearch host URL
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const path = "/" + openCore + "/_search"; // API endpoint for searching
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const base = host + path; // Complete URL for the request
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/**
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* The match query used for title, author, and subjects fields is case-insensitive by default. The standard analyzer is typically used, which lowercases the terms.
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* The wildcard query is case-sensitive by default. To make it case-insensitive, it is needed to use a lowercase filter */
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const lowercaseTerm = term.toLowerCase(); // Lowercase the search term
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// Request body defining search query logic
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const body = {
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query: {
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bool: {
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@ -50,13 +39,13 @@ class DatasetService {
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{ wildcard: { subjects: { value: `${lowercaseTerm}*`, boost: 1 } } }, // In SOLR is "subject"!
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{ wildcard: { doctype: { value: `${lowercaseTerm}*`, boost: 1 } } } // doctype
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],
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minimum_should_match: 1
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minimum_should_match: 1 // Require at least one match
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}
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},
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size: 10,
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from: 0,
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size: 10, // Limit to 10 results
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from: 0, // Pagination: start from the first result
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sort: [{ _score: { order: "desc" } }], // Sort by relevance (_score)
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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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@ -65,37 +54,23 @@ class DatasetService {
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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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doctype: { terms: { field: "doctype", size: 50 } } // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
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},
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// // CONTABO ================================================================================
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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" } }, // << ".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.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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author: {},
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subjects: {},
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doctype: {}
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title: {}, // Highlight matching terms in title
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author: {}, // Highlight matching terms in author
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subjects: {}, // Highlight matching terms in subjects
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doctype: {} // Highlight matching terms in document type
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}
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}
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};
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// Make API call to OpenSearch and return the result
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/**
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* Make API call to OpenSearch and return the result
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* When a POST request is made to the OpenSearch server using the api.post<OpenSearchResponse> method, the response received from OpenSearch is an object that includes various details about the search results.
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* One of the key properties of this response object is _source, which is an array of documents (datasets) that match the search criteria.
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* It is used the pipe method to chain RxJS operators to the Observable returned by api.get. The map operator is used to transform the emitted items of the Observable.
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*/
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return api.post<OpenSearchResponse>(base, body).pipe(
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// tap(response => console.log("OpenSearchResponse:", response)), // Log the complete response
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// tap(response => console.log("Aggre:", response.aggregations?.subjects.buckets[0])), // log the first subject of the array of subjects returned
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// tap(response => console.log("Hits:", response.hits)), // log the first subject of the array of subjects returned
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// map(response => response.hits.hits.map(hit => hit._source))
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map(response => ({
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datasets: response.hits.hits.map(hit => hit._source),
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highlights: response.hits.hits.map(hit => hit.highlight)
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@ -104,7 +79,7 @@ class DatasetService {
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}
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// // For the autocomplete search. Method to perform a search based on a term
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// public searchTerm_SOLR(term: string, solrCore: string, solrHost: string): Observable<Dataset[]> {
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// public searchTermSOLR(term: string, solrCore: string, solrHost: string): Observable<Dataset[]> {
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// // SOLR endpoint
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// const host = "https://" + solrHost;
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// const path = "/solr/" + solrCore + "/select?";
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@ -123,7 +98,6 @@ class DatasetService {
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// "doctype",
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// ].toString();
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// const qfFields = "title^3 author^2 subject^1";
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// const q_params = {
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@ -146,193 +120,33 @@ class DatasetService {
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// return stations;
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// }
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// public facetedSearchOPEN(
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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 = openHost;
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// const path = "/" + openCore + "/_search";
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// const base = host + path;
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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: { [`${category}.keyword`]: values } };
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// }
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// });
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// console.log("filters:", filters);
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// // Determine search term and query fields based on the suggestion type
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// let query;
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// if (typeof suggestion === "string") { // If suggestion is a string, append a wildcard (*) for partial matches
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// const lowercaseTerm = suggestion.toLowerCase()
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// query = {
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// bool: {
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// should: [
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// { match: { title: { query: suggestion, fuzziness: "AUTO", boost: 3 } } },
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// { match: { author: { query: suggestion, fuzziness: "AUTO", boost: 2 } } },
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// { match: { subjects: { query: suggestion, fuzziness: "AUTO", boost: 1 } } },
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// { wildcard: { title: { value: `${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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// query = {
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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 e.g. if is a title, the complete title
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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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// // console.log(activeFilterCategories);
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// // console.log("mainQuery:", mainQuery);
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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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// // // WORKS // Expected: 12 results
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// // query: {
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// // bool: {
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// // "must": [
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// // { "term": { "language": "en" } },
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// // { "term": { "subjects.keyword": "Lower Austria" } },
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// // { "term": { "subjects.keyword": "counting data" } }
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// // ],
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// // }
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// // },
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// // // THIS WORKS: // Expected: 19 results
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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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// // { "term": { "subjects": "bayern" } }
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// // ],
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// // }
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// // },
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// // // WORKS // Expected: 4 results
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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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// // { "term": { "subjects": "bayern" } },
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// // { "term": { "subjects": "salzburg" } }
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// // ],
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// // }
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// // },
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// // // WORKS // Expected: 2 results
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// // query: {
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// // bool: {
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// // "must": [
|
||||
// // { "match": { "title": "blatt" } },
|
||||
// // { "term": { "subjects": "ungarn" } },
|
||||
// // { "term": { "subjects": "steiermark" } }
|
||||
// // ],
|
||||
// // }
|
||||
// // },
|
||||
|
||||
// // WORKS // Expected: 12 results
|
||||
// query: {
|
||||
// bool: {
|
||||
// "must": [
|
||||
// { "term": { "language": "en" } },
|
||||
// { "term": { "subjects.keyword": "Lower Austria" } },
|
||||
// { "term": { "subjects.keyword": "counting data" } }
|
||||
// ],
|
||||
// "should": [
|
||||
// { match: { title: { query: "halger", fuzziness: "AUTO", boost: 3 } } },
|
||||
// { match: { author: { query: "halger", fuzziness: "AUTO", boost: 2 } } },
|
||||
// { match: { subjects: { query: "halger", fuzziness: "AUTO", boost: 1 } } },
|
||||
// { wildcard: { title: { value: "halger", boost: 3 } } },
|
||||
// { wildcard: { author: { value: "halger", boost: 2 } } },
|
||||
// { wildcard: { subjects: { value: "halger", boost: 1 } } }
|
||||
// ],
|
||||
// minimum_should_match: 1
|
||||
// }
|
||||
// },
|
||||
|
||||
// size: 10,
|
||||
// from: startValue,
|
||||
// sort: [{ _score: { order: "desc" } }],
|
||||
// track_scores: true,
|
||||
|
||||
// aggs: {
|
||||
// subjects: { terms: { field: "subjects.keyword", size: 1000 } },
|
||||
// language: { terms: { field: "language" } },
|
||||
// author: { terms: { field: "author.keyword", size: 1000 } },
|
||||
// year: { terms: { field: "year", size: 100 } }
|
||||
// },
|
||||
|
||||
// highlight: {
|
||||
// fields: {
|
||||
// title: {},
|
||||
// author: {},
|
||||
// subjects: {}
|
||||
// }
|
||||
// }
|
||||
// };
|
||||
|
||||
// console.log("mainQuery:", mainQuery);
|
||||
// console.log("filters:", filters);
|
||||
// console.log("body:", body);
|
||||
|
||||
// // Make API call to OpenSearch and return the result
|
||||
// const stations = api.post<OpenSearchResponse>(base, body);
|
||||
|
||||
// return stations;
|
||||
// }
|
||||
|
||||
|
||||
|
||||
public facetedSearchOPEN(
|
||||
/**
|
||||
* Perform faceted search with OpenSearch API using filters and suggestions
|
||||
* @param {Suggestion | string} suggestion - Search term or suggestion
|
||||
* @param {ActiveFilterCategories} activeFilterCategories - Active filters to apply
|
||||
* @param {string} openCore - The OpenSearch core to search in
|
||||
* @param {string} openHost - The OpenSearch host URL
|
||||
* @param {string} start - Optional: starting page
|
||||
* @returns {Observable<OpenSearchResponse>} - Observable emitting search results
|
||||
*/
|
||||
public facetedSearch(
|
||||
suggestion: Suggestion | string,
|
||||
activeFilterCategories: ActiveFilterCategories,
|
||||
openCore: string,
|
||||
openHost: string,
|
||||
start?: string, // Starting page
|
||||
): Observable<OpenSearchResponse> {
|
||||
// console.log("FACETEDSEARCH");
|
||||
|
||||
// OpenSearch endpoint
|
||||
const host = openHost;
|
||||
const path = "/" + openCore + "/_search";
|
||||
const base = host + path;
|
||||
|
||||
const lowercaseTerm = typeof suggestion === 'string' ? suggestion.toLowerCase() : suggestion.value;
|
||||
|
||||
// console.log("facetedsearchOPEN > suggestion entered:");
|
||||
// console.log(suggestion);
|
||||
// console.log("typeof:", typeof suggestion);
|
||||
|
||||
|
||||
/**
|
||||
* The query construction depends on whether the suggestion is a string or a Suggestion object. */
|
||||
* The query construction depends on whether the suggestion is a string or a Suggestion object.
|
||||
* */
|
||||
|
||||
// When suggestion is a string:
|
||||
const mainQuery = typeof suggestion === 'string'
|
||||
? {
|
||||
|
|
@ -350,7 +164,7 @@ class DatasetService {
|
|||
minimum_should_match: 1
|
||||
}
|
||||
}
|
||||
// When suggestion is a suggestion object
|
||||
// When suggestion is a suggestion object:
|
||||
: {
|
||||
match: {
|
||||
[suggestion.type]: {
|
||||
|
|
@ -360,28 +174,7 @@ class DatasetService {
|
|||
}
|
||||
};
|
||||
|
||||
// CONTABO ====================================================
|
||||
// // Constructing Filters Based on Active Filter Categories
|
||||
// const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
|
||||
// terms: { [`${category}.keyword`]: values }
|
||||
// }));
|
||||
// ================================================================
|
||||
|
||||
// // Constructing Filters Based on Active Filter Categories
|
||||
// const filters = Object.entries(activeFilterCategories).map(([category, values]) => {
|
||||
// if (category === "language" || category === "year") {
|
||||
// return { terms: { [category]: values } };
|
||||
// } else {
|
||||
// return { terms: { [`${category}.keyword`]: values } };
|
||||
// }
|
||||
// });
|
||||
|
||||
|
||||
// const filters = Object.entries(activeFilterCategories).map(([category, values]) =>
|
||||
// values.map(value => ({ term: { [`${category}.keyword`]: value } }))
|
||||
// ).flat();
|
||||
|
||||
|
||||
// Build filters based on the active filter categories
|
||||
const filters = Object.entries(activeFilterCategories).map(([category, values]) => {
|
||||
if (category === "language" || category === "year" || category === "doctype") {
|
||||
return values.map(value => ({ term: { [category]: value } }));
|
||||
|
|
@ -390,22 +183,8 @@ class DatasetService {
|
|||
}
|
||||
}).flat();
|
||||
|
||||
// console.log(activeFilterCategories);
|
||||
console.log("mainQuery:", mainQuery);
|
||||
console.log("filters:", filters);
|
||||
|
||||
// Request body for the faceted search
|
||||
const body = {
|
||||
// query: {
|
||||
// bool: {
|
||||
// must: query, // Contains the main query constructed earlier.
|
||||
// filter: filters // Contains the filters constructed from activeFilterCategories.
|
||||
// // filter: [
|
||||
// // { "terms": { "subjects.keyword": ["Lower Austria", "counting data"] } },
|
||||
// // { "term": { "language": "en" } }
|
||||
// // ] // Contains the filters constructed from activeFilterCategories.
|
||||
// }
|
||||
// },
|
||||
|
||||
query: {
|
||||
bool: {
|
||||
must: [
|
||||
|
|
@ -415,49 +194,24 @@ class DatasetService {
|
|||
}
|
||||
},
|
||||
|
||||
// // THIS DOESNT WORK // Expected: 12 results, Ouput: 16
|
||||
// query: {
|
||||
// bool: {
|
||||
// "must": [
|
||||
// { "term": { "language": "en" } },
|
||||
// { "terms": { "subjects.keyword": ["Lower Austria", "counting data"] } }
|
||||
// ],
|
||||
// "should": [
|
||||
// { match: { title: { query: "halger", fuzziness: "AUTO", boost: 3 } } },
|
||||
// { match: { author: { query: "halger", fuzziness: "AUTO", boost: 2 } } },
|
||||
// { match: { subjects: { query: "halger", fuzziness: "AUTO", boost: 1 } } },
|
||||
// { wildcard: { title: { value: "halger", boost: 3 } } },
|
||||
// { wildcard: { author: { value: "halger", boost: 2 } } },
|
||||
// { wildcard: { subjects: { value: "halger", boost: 1 } } }
|
||||
// ],
|
||||
// minimum_should_match: 1
|
||||
// }
|
||||
// },
|
||||
|
||||
size: 10,
|
||||
from: start ? parseInt(start) : 0,
|
||||
// sort: [{ _source: { server_date_published: { order: "desc" } } }],
|
||||
sort: [{ server_date_published: { order: "desc" } }],
|
||||
sort: [{ server_date_published: { order: "desc" } }], // Sort by publication date
|
||||
// sort: [{ _score: { order: "desc" } }], // Sort by _score in descending order
|
||||
track_scores: true,
|
||||
aggs: { // Defines aggregations for facets
|
||||
// terms: Aggregation type that returns the most common terms in a field.
|
||||
// !For a large number of terms setting an extremely large size might not be efficient
|
||||
// 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.
|
||||
/**
|
||||
* Defines aggregations for facets
|
||||
* terms: Aggregation type that returns the most common terms in a field.
|
||||
* !For a large number of terms setting an extremely large size might not be efficient
|
||||
* 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.
|
||||
*/
|
||||
aggs: {
|
||||
subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
|
||||
language: { terms: { field: "language" } }, // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||
author: { terms: { field: "author.keyword", size: 1000 } },
|
||||
year: { terms: { field: "year", size: 100 } }, // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||
doctype: { terms: { field: "doctype", size: 50 } } // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||
},
|
||||
// CONTABO ================================================================================
|
||||
// aggs: {
|
||||
// subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
|
||||
// language: { terms: { field: "language.keyword" } }, // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||
// author: { terms: { field: "author.keyword", size: 1000 } },
|
||||
// year: { terms: { field: "year.keyword", size: 100 } } // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||
// },
|
||||
// ===========================================================================================
|
||||
highlight: {
|
||||
fields: {
|
||||
title: {},
|
||||
|
|
@ -468,17 +222,15 @@ class DatasetService {
|
|||
}
|
||||
};
|
||||
|
||||
// console.log("body:", body);
|
||||
|
||||
// API call and return observable of search results
|
||||
const stations = api.post<OpenSearchResponse>(base, body);
|
||||
|
||||
return stations;
|
||||
}
|
||||
|
||||
// /**
|
||||
// * This method performs a faceted search on a Solr core. Faceted search allows the user to filter search results based on various categories (facets)
|
||||
// */
|
||||
// public facetedSearch_SOLR(
|
||||
// public facetedSearchSOLR(
|
||||
// suggestion: Suggestion | string,
|
||||
// activeFilterCategories: ActiveFilterCategories,
|
||||
// solrCore: string,
|
||||
|
|
@ -609,8 +361,8 @@ class DatasetService {
|
|||
const host = VUE_API;
|
||||
const path = "/api/dataset/" + id;
|
||||
const apiUrl = host + path;
|
||||
const dataset = api.get<DbDataset>(apiUrl).pipe(map((res) => this.prepareDataset(res)));
|
||||
|
||||
const dataset = api.get<DbDataset>(apiUrl).pipe(map((res) => this.prepareDataset(res)));
|
||||
return dataset;
|
||||
}
|
||||
|
||||
|
|
@ -619,16 +371,16 @@ class DatasetService {
|
|||
const host = VUE_API;
|
||||
const path = "/api/dataset/10.24341/tethys." + doi;
|
||||
const apiUrl = host + path;
|
||||
const dataset = api.get<DbDataset>(apiUrl).pipe(map((res) => this.prepareDataset(res)));
|
||||
|
||||
const dataset = api.get<DbDataset>(apiUrl).pipe(map((res) => this.prepareDataset(res)));
|
||||
return dataset;
|
||||
}
|
||||
|
||||
// Method to prepare dataset object
|
||||
// Prepare dataset object by deserializing it and adding a URL
|
||||
private prepareDataset(datasetObj: DbDataset): DbDataset {
|
||||
|
||||
const dataset = deserialize<DbDataset>(DbDataset, JSON.stringify(datasetObj));
|
||||
dataset.url = document.documentURI;
|
||||
|
||||
return dataset;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,17 +1,18 @@
|
|||
// Import necessary modules, components, and models from Vue and the project
|
||||
import { Component, Vue, Prop } from "vue-facing-decorator";
|
||||
import VsInput from "@/components/vs-input/vs-input.vue";
|
||||
import VsResult from "@/components/vs-result/vs-result.vue";
|
||||
import FacetCategory from "@/components/face-category/facet-category.vue";
|
||||
import ActiveFacetCategory from "@/components/active-facet-category/active-facet-category.vue";
|
||||
// import { SolrSettings } from "@/models/solr";
|
||||
|
||||
// Import models and services
|
||||
// import { SolrSettings } from "@/models/solr";
|
||||
import { OpenSettings } from "@/models/solr";
|
||||
// import { DatasetService } from "@/services/dataset.service";
|
||||
import DatasetService from "../../services/dataset.service";
|
||||
import { Suggestion, Dataset, SearchType } from "@/models/dataset";
|
||||
// import { SolrResponse, FacetFields, FacetItem, FacetResults, FacetInstance } from "@/models/headers";
|
||||
// import { SolrResponse, FacetFields, FacetItem, FacetResults, FacetInstance, OpenSearchResponse, HitHighlight } from "@/models/headers";
|
||||
import { FacetFields, FacetItem, FacetResults, FacetInstance, OpenSearchResponse, HitHighlight } from "@/models/headers";
|
||||
import { FacetItem, FacetResults, OpenSearchResponse } from "@/models/headers";
|
||||
import { ActiveFilterCategories } from "@/models/solr";
|
||||
// import { SOLR_HOST, SOLR_CORE } from "@/constants";
|
||||
import { IPagination } from "@/models/pagination";
|
||||
|
|
@ -19,7 +20,7 @@ import PaginationComponent from "@/components/PaginationComponent.vue";
|
|||
|
||||
import { OPEN_HOST, OPEN_CORE } from "@/constants";
|
||||
|
||||
// Decorate the component and define its name and components
|
||||
// Define the Vue component, its name, and child components
|
||||
@Component({
|
||||
name: "SearchViewComponent",
|
||||
components: {
|
||||
|
|
@ -31,51 +32,51 @@ import { OPEN_HOST, OPEN_CORE } from "@/constants";
|
|||
},
|
||||
})
|
||||
|
||||
// Define the SearchViewComponent class
|
||||
// Export the default class for the component
|
||||
export default class SearchViewComponent extends Vue {
|
||||
@Prop()
|
||||
display!: string;
|
||||
|
||||
@Prop()
|
||||
type!: string;
|
||||
|
||||
results: Array<Dataset> = [];
|
||||
|
||||
// facets: FacetFields = new FacetFields();
|
||||
facets: FacetResults = new FacetResults();
|
||||
searchTerm: string | Suggestion = "";
|
||||
// activeFilterCategories: Object = {};
|
||||
activeFilterCategories: ActiveFilterCategories = new ActiveFilterCategories(); // = new Array<ActiveFilterCategory>();
|
||||
pagination: IPagination = {
|
||||
// Define props passed from the parent component
|
||||
@Prop()
|
||||
display!: string; // Search display string
|
||||
@Prop()
|
||||
type!: string; // Search type
|
||||
|
||||
// Declare variables used in the component
|
||||
results: Array<Dataset> = []; // Array to hold search results
|
||||
facets: FacetResults = new FacetResults(); // Object to hold facet results
|
||||
searchTerm: string | Suggestion = ""; // The search term input
|
||||
activeFilterCategories: ActiveFilterCategories = new ActiveFilterCategories(); // Active filter categories for search
|
||||
pagination: IPagination = { // Pagination data for the results
|
||||
total: 0,
|
||||
perPage: 10,
|
||||
currentPage: 1,
|
||||
// lastPage: 0,
|
||||
data: [],
|
||||
};
|
||||
loaded = false;
|
||||
numFound!: number;
|
||||
loaded = false; // Boolean to track whether data has been loaded
|
||||
numFound!: number; // Number of results found
|
||||
|
||||
// private solr: SolrSettings = {
|
||||
// core: SOLR_CORE, //"rdr_data", // SOLR.core;
|
||||
// host: SOLR_HOST, //"tethys.at",
|
||||
// };
|
||||
|
||||
// Define settings for the OpenSearch API (core and host information)
|
||||
private open: OpenSettings = {
|
||||
core: OPEN_CORE, //"rdr_data", // SOLR.core;
|
||||
host: OPEN_HOST, //"tethys.at",
|
||||
core: OPEN_CORE, //
|
||||
host: OPEN_HOST, //
|
||||
};
|
||||
|
||||
private error = "";
|
||||
|
||||
// Computed property to get search term as string
|
||||
get stringSearchTerm(): string {
|
||||
// console.log("stringSearchTerm:", this.searchTerm);
|
||||
|
||||
// If searchTerm is a string, return it directly
|
||||
if (typeof this.searchTerm === "string") {
|
||||
return this.searchTerm;
|
||||
// If searchTerm is a Suggestion, return its value and type alias
|
||||
} else if (this.searchTerm instanceof Suggestion) {
|
||||
return this.searchTerm.value + " (" + this.getTypeAlias(this.searchTerm.type) + ")";
|
||||
// return this.searchTerm.value + " (" + this.searchTerm.type + ")";
|
||||
// Default to empty string
|
||||
} else {
|
||||
return "";
|
||||
}
|
||||
|
|
@ -109,9 +110,6 @@ export default class SearchViewComponent extends Vue {
|
|||
return false;
|
||||
}
|
||||
}
|
||||
// getKeyName(value: string) {
|
||||
// return Object.entries(Suggestion).find(([key, val]) => val === value)?.[0];
|
||||
// }
|
||||
|
||||
// Method to get enum key by enum value
|
||||
getEnumKeyByEnumValue<T extends { [index: string]: string }>(myEnum: T, enumValue: string): keyof T | null {
|
||||
|
|
@ -124,7 +122,6 @@ export default class SearchViewComponent extends Vue {
|
|||
beforeMount(): void {
|
||||
// console.log("beforeMount!");
|
||||
|
||||
// this.rdrAPI = new DatasetService();
|
||||
// Trigger search based on provided display and type props
|
||||
if (this.display != "" && this.type != undefined) {
|
||||
const enumKey: "Title" | "Author" | "Subject" | "Doctype" | null = this.getEnumKeyByEnumValue(SearchType, this.type);
|
||||
|
|
@ -150,64 +147,30 @@ export default class SearchViewComponent extends Vue {
|
|||
this.activeFilterCategories = new ActiveFilterCategories();
|
||||
this.facets = new FacetResults();
|
||||
this.searchTerm = suggestion;
|
||||
// console.log("ONSEARCH > suggestion: ", suggestion);
|
||||
|
||||
// /* Perform faceted search. The method returns an Observable, and the code subscribes to this Observable to handle the response. If the response is successful, it calls the dataHandler method
|
||||
// with the Solr response as a parameter. If there is an error, it calls the errorHandler method with the error message as a parameter */
|
||||
// DatasetService.facetedSearch(suggestion, this.activeFilterCategories, this.solr.core, this.solr.host, undefined).subscribe({
|
||||
// DatasetService.facetedSearchSOLR(suggestion, this.activeFilterCategories, this.solr.core, this.solr.host, undefined).subscribe({
|
||||
// next: (res: SolrResponse) => this.dataHandler(res),
|
||||
// error: (error: string) => this.errorHandler(error),
|
||||
// });
|
||||
|
||||
DatasetService.facetedSearchOPEN(suggestion, this.activeFilterCategories, this.open.core, this.open.host, undefined).subscribe({
|
||||
// next: (res: { datasets: Dataset[], highlights: HitHighlight[] }) => this.dataHandlerOpen(res.datasets, res.highlights),
|
||||
next: (res: OpenSearchResponse) => this.dataHandlerOPEN(res),
|
||||
DatasetService.facetedSearch(suggestion, this.activeFilterCategories, this.open.core, this.open.host, undefined).subscribe({
|
||||
next: (res: OpenSearchResponse) => this.dataHandler(res),
|
||||
error: (error: string) => this.errorHandler(error),
|
||||
});
|
||||
|
||||
}
|
||||
|
||||
// Handle the search results
|
||||
private dataHandlerOPEN(res: OpenSearchResponse, filterItem?: FacetItem): void {
|
||||
private dataHandler(res: OpenSearchResponse, filterItem?: FacetItem): void {
|
||||
this.results = res.hits.hits.map(hit => hit._source);
|
||||
this.numFound = res.hits.total.value;
|
||||
|
||||
// console.log("dataHandlerOPEN (results, numFound):");
|
||||
// console.log(this.results);
|
||||
// console.log(this.numFound);
|
||||
// console.log(res.hits.hits);
|
||||
// console.log(res.hits.total.value); console.log(res);
|
||||
// console.log("results:");
|
||||
// console.log(res);
|
||||
|
||||
// for (const key in this.results) {
|
||||
// if (Object.prototype.hasOwnProperty.call(this.results, key)) {
|
||||
// const element = this.results[key];
|
||||
// // console.log(element.abstract[0]);
|
||||
// // console.log(element.language);
|
||||
// console.log(element.server_date_published);
|
||||
// }
|
||||
// }
|
||||
|
||||
this.pagination.total = res.hits.total.value;
|
||||
this.pagination.perPage = 10;
|
||||
this.pagination.data = this.results;
|
||||
this.pagination.lastPage = Math.ceil(this.pagination.total / this.pagination.perPage);
|
||||
|
||||
// if (res.aggregations) {
|
||||
// const facet_fields = res.aggregations;
|
||||
|
||||
// let prop: keyof typeof facet_fields;
|
||||
|
||||
// for (prop in facet_fields) {
|
||||
// const facetCategory = facet_fields[prop];
|
||||
// if (facetCategory.buckets) {
|
||||
// const facetItems = facetCategory.buckets.map(bucket => new FacetItem(bucket.key, bucket.doc_count));
|
||||
// this.facets[prop] = facetItems.filter(el => el.count > 0);
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
|
||||
if (res.aggregations) {
|
||||
const facet_fields = res.aggregations;
|
||||
|
||||
|
|
@ -244,7 +207,7 @@ export default class SearchViewComponent extends Vue {
|
|||
}
|
||||
|
||||
// // Method to handle search response
|
||||
// private dataHandler(res: SolrResponse, filterItem?: FacetItem): void {
|
||||
// private dataHandlerSOLR(res: SolrResponse, filterItem?: FacetItem): void {
|
||||
// // console.log("dataHandlerSOLR (docs, numFound):");
|
||||
// // console.log(res.response.docs);
|
||||
// // console.log(res.response.numFound);
|
||||
|
|
@ -315,13 +278,13 @@ export default class SearchViewComponent extends Vue {
|
|||
const start = page * this.pagination.perPage - this.pagination.perPage;
|
||||
|
||||
// // Trigger new search with updated pagination parameters
|
||||
// DatasetService.facetedSearch(this.searchTerm, this.activeFilterCategories, this.solr.core, this.solr.host, start.toString()).subscribe(
|
||||
// DatasetService.facetedSearchSOLR(this.searchTerm, this.activeFilterCategories, this.solr.core, this.solr.host, start.toString()).subscribe(
|
||||
// (res: SolrResponse) => this.dataHandler(res),
|
||||
// (error: string) => this.errorHandler(error),
|
||||
// );
|
||||
|
||||
DatasetService.facetedSearchOPEN(this.searchTerm, this.activeFilterCategories, this.open.core, this.open.host, start.toString()).subscribe({
|
||||
next: (res: OpenSearchResponse) => this.dataHandlerOPEN(res),
|
||||
DatasetService.facetedSearch(this.searchTerm, this.activeFilterCategories, this.open.core, this.open.host, start.toString()).subscribe({
|
||||
next: (res: OpenSearchResponse) => this.dataHandler(res),
|
||||
error: (error: string) => this.errorHandler(error),
|
||||
});
|
||||
}
|
||||
|
|
@ -332,37 +295,32 @@ export default class SearchViewComponent extends Vue {
|
|||
|
||||
// Reset current page
|
||||
this.pagination.currentPage = 1;
|
||||
// console.log(facetItem.val);
|
||||
// console.log(facetItem.category);
|
||||
|
||||
// if (!this.activeFilterCategories.hasOwnProperty(facetItem.category)) {
|
||||
|
||||
|
||||
// Check if filter item already exists
|
||||
if (!Object.prototype.hasOwnProperty.call(this.activeFilterCategories, facetItem.category)) {
|
||||
this.activeFilterCategories[facetItem.category] = new Array<string>();
|
||||
// console.log(this.activeFilterCategories);
|
||||
}
|
||||
// if (!this.activeFilterCategories[facetItem.category].some((e) => e === facetItem.val)) {
|
||||
|
||||
// Check if filter item is not already applied
|
||||
if (!this.activeFilterCategories[facetItem.category].some((e) => e === facetItem.val)) {
|
||||
// Add filter item to active filter categories
|
||||
this.activeFilterCategories[facetItem.category].push(facetItem.val);
|
||||
// Trigger new search with updated filter
|
||||
// DatasetService.facetedSearch(this.searchTerm, this.activeFilterCategories, this.solr.core, this.solr.host, undefined).subscribe(
|
||||
|
||||
// DatasetService.facetedSearchSOLR(this.searchTerm, this.activeFilterCategories, this.solr.core, this.solr.host, undefined).subscribe(
|
||||
// (res: SolrResponse) => this.dataHandler(res, facetItem),
|
||||
// (error: string) => this.errorHandler(error),
|
||||
// );
|
||||
// console.log(this.activeFilterCategories);
|
||||
DatasetService.facetedSearchOPEN(this.searchTerm, this.activeFilterCategories, this.open.core, this.open.host, undefined).subscribe({
|
||||
next: (res: OpenSearchResponse) => this.dataHandlerOPEN(res, facetItem),
|
||||
|
||||
// Trigger new search with updated filter
|
||||
DatasetService.facetedSearch(this.searchTerm, this.activeFilterCategories, this.open.core, this.open.host, undefined).subscribe({
|
||||
next: (res: OpenSearchResponse) => this.dataHandler(res, facetItem),
|
||||
error: (error: string) => this.errorHandler(error),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// // // Method to clear facet category filter
|
||||
// onClearFacetCategory(categoryName: string): void {
|
||||
// onClearFacetCategorySOLR(categoryName: string): void {
|
||||
// console.log("onClearFacetCategory");
|
||||
|
||||
// delete this.activeFilterCategories[categoryName];
|
||||
|
|
@ -416,12 +374,12 @@ export default class SearchViewComponent extends Vue {
|
|||
// }
|
||||
|
||||
// Method to clear facet category filter
|
||||
onClearFacetCategoryOPEN(categoryName: string): void {
|
||||
console.log("onClearFacetCategory");
|
||||
onClearFacetCategory(categoryName: string): void {
|
||||
// console.log("onClearFacetCategory");
|
||||
delete this.activeFilterCategories[categoryName];
|
||||
|
||||
// Trigger new search with updated filter
|
||||
DatasetService.facetedSearchOPEN(this.searchTerm, this.activeFilterCategories, this.open.core, this.open.host, undefined).subscribe({
|
||||
DatasetService.facetedSearch(this.searchTerm, this.activeFilterCategories, this.open.core, this.open.host, undefined).subscribe({
|
||||
next: (res: OpenSearchResponse) => {
|
||||
this.results = res.hits.hits.map(hit => hit._source);
|
||||
this.numFound = res.hits.total.value;
|
||||
|
|
|
|||
|
|
@ -105,7 +105,7 @@
|
|||
<active-facet-category
|
||||
v-bind:filterItems="values"
|
||||
v-bind:categoryName="key"
|
||||
@clear-facet-category="onClearFacetCategoryOPEN"
|
||||
@clear-facet-category="onClearFacetCategory"
|
||||
></active-facet-category>
|
||||
</span>
|
||||
</div>
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user