forked from geolba/tethys.frontend
OpenSearch progress. Stetic changes in result list. Faceted search not started
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parent
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commit
a70e454cbc
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@ -1,4 +1,6 @@
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APP_URL=//tethys.at
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VUE_API=//www.tethys.at
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SOLR_HOST=tethys.at
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SOLR_CORE=rdr_data
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# SOLR_HOST=tethys.at
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# SOLR_CORE=rdr_data
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OPEN_HOST=192.168.21.18
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OPEN_CORE=tethys-records
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@ -37,15 +37,13 @@ export default class VsInput extends Vue {
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private loading = false; // Loading state indicator
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private selectedIndex = -1; // Index of the currently selected suggestion
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// private selectedDisplay = "";
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private solr: SolrSettings = {
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core: SOLR_CORE, //"rdr_data", // SOLR.core;
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host: SOLR_HOST, //"tethys.at",
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// core: "test_data", // SOLR.core;
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// host: "repository.geologie.ac.at",
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};
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private open: OpenSettings = {
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private openSearch: OpenSettings = {
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core: OPEN_CORE, //"rdr_data", // SOLR.core;
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host: OPEN_HOST, //"tethys.at",
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// core: "test_data", // SOLR.core;
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@ -126,7 +124,7 @@ export default class VsInput extends Vue {
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if (highlight.author && highlight.author.length > 0) {
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const highlightedAuthor = highlight.author.join(" ");
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const datasetAuthor = this.find(dataset.author, this.display.toLowerCase());
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const hasAuthorSuggestion = suggestions.some((suggestion) => suggestion.highlight === highlightedAuthor && suggestion.type == SearchType.Author);
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const hasAuthorSuggestion = suggestions.some((suggestion) => suggestion.highlight.toLowerCase() === highlightedAuthor.toLowerCase() && suggestion.type == SearchType.Author);
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if (!hasAuthorSuggestion) {
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const suggestion = new Suggestion(datasetAuthor, highlightedAuthor, SearchType.Author);
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suggestions.push(suggestion);
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@ -135,48 +133,13 @@ export default class VsInput extends Vue {
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if (highlight.subjects && highlight.subjects.length > 0) {
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const highlightedSubject = highlight.subjects.join(" ");
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const datasetSubject = this.find(dataset.subjects, this.display.toLowerCase());
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const hasSubjectSuggestion = suggestions.some((suggestion) => suggestion.highlight === highlightedSubject && suggestion.type == SearchType.Subject);
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const hasSubjectSuggestion = suggestions.some((suggestion) => suggestion.highlight.toLowerCase() === highlightedSubject.toLowerCase() && suggestion.type == SearchType.Subject);
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if (!hasSubjectSuggestion) {
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const suggestion = new Suggestion(datasetSubject, highlightedSubject, SearchType.Subject);
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suggestions.push(suggestion);
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}
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}
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// // Checks if a suggestion with the same title and type already exists in the suggestions array. If not, it creates a new Suggestion object and adds it to the suggestions array.
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// if (highlight.title && highlight.title.length > 0) {
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// /** This line checks if the highlight object has a title property and if that property is an array with at least one element.
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// * The highlight object contains highlighted fragments of the search term in various fields (e.g., title, author, subjects) as returned by the OpenSearch API.
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// * This check ensures that we only process results that have highlighted titles. */
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// const title = highlight.title.join(" ");
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// /**
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// * The highlight.title property is an array of strings, where each string is a highlighted fragment of the title. join(" ") combines these fragments into a single string with spaces between them.
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// * This step constructs a full highlighted title from the individual fragments.
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// * OpenSearch can return multiple fragments of a field (like the title) in its response, especially when the field contains multiple terms that match the search query.
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// * This can happen because OpenSearch's highlighting feature is designed to provide context around each match within the field, which can result in multiple highlighted fragments.
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// */
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// const hasTitleSuggestion = suggestions.some((suggestion) => suggestion.value === title && suggestion.type == SearchType.Title);
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// if (!hasTitleSuggestion) {
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// const suggestion = new Suggestion(title, SearchType.Title);
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// suggestions.push(suggestion);
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// }
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// }
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// if (highlight.author && highlight.author.length > 0) {
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// const author = highlight.author.join(" ");
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// const hasAuthorSuggestion = suggestions.some((suggestion) => suggestion.value === author && suggestion.type == SearchType.Author);
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// if (!hasAuthorSuggestion) {
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// const suggestion = new Suggestion(author, SearchType.Author);
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// suggestions.push(suggestion);
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// }
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// }
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// if (highlight.subjects && highlight.subjects.length > 0) {
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// const subject = highlight.subjects.join(" ");
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// const hasSubjectSuggestion = suggestions.some((suggestion) => suggestion.value === subject && suggestion.type == SearchType.Subject);
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// if (!hasSubjectSuggestion) {
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// const suggestion = new Suggestion(subject, SearchType.Subject);
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// suggestions.push(suggestion);
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// }
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// }
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// ORIGINAL SOLR ===================================================================================================
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// if (dataset.title_output.toLowerCase().includes(this.display.toLowerCase())) {
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// const title = dataset.title_output;
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@ -238,6 +201,7 @@ export default class VsInput extends Vue {
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and emits a search-change event with the current value of display as the argument. */
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@Emit("search-change")
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search(): string {
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console.log("search");
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this.results = [];
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// this.$emit("search", this.display)
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this.value = this.display; //(obj["title_output"]) ? obj["title_output"] : obj.id
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@ -260,6 +224,7 @@ export default class VsInput extends Vue {
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// Perform the search request
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private resourceSearch() {
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console.log("resourceSearch");
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if (!this.display) {
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this.results = [];
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return;
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@ -273,7 +238,7 @@ export default class VsInput extends Vue {
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private request(): void {
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console.log("request()");
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// DatasetService.searchTerm(this.display, this.solr.core, this.solr.host).subscribe({
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DatasetService.searchTerm(this.display).subscribe({
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DatasetService.searchTerm(this.display, this.openSearch.core, this.openSearch.host).subscribe({
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// next: (res: Dataset[]) => this.dataHandler(res),
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next: (res: { datasets: Dataset[], highlights: HitHighlight[] }) => this.dataHandler(res.datasets, res.highlights),
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error: (error: string) => this.errorHandler(error),
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@ -149,7 +149,7 @@ input {
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.autocomplete-result-item {
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list-style: none;
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text-align: left;
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/* padding: 7px 10px; */
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padding: 0px 0px 0px 5px; // top,right,bottom,left
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cursor: pointer;
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}
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@ -16,131 +16,7 @@ class DatasetService {
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*
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* @param {string} searchTerm - The search term to query.
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*/
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// async fetchDataFromOpenSearch(searchTerm: string): Promise<void> {
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// // Define the OpenSearch endpoint URL
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// const url = "http://opensearch.geoinformation.dev/tethys-records/_search";
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// // Set the headers for the POST request
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// const headers = {
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// "Content-Type": "application/json",
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// };
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// // Construct the body of the POST request
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// const body = {
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// query: {
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// bool: {
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// // The `should` clause specifies that at least one of these conditions must match
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// should: [
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// {
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// // Match the search term in the title field with fuzziness enabled and a boost of 3
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// match: {
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// title: {
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// query: searchTerm,
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// fuzziness: "AUTO", // Enable fuzzy search
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// boost: 3 // Boosting the relevance of title matches
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// }
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// }
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// },
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// {
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// // Match the search term in the author field with fuzziness enabled and a boost of 2
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// match: {
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// author: {
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// query: searchTerm,
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// fuzziness: "AUTO", // Enable fuzzy search
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// boost: 2 // Boosting the relevance of author matches
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// }
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// }
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// },
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// {
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// // Match the search term in the subject field with fuzziness enabled and a boost of 1
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// match: {
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// subject: {
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// query: searchTerm,
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// fuzziness: "AUTO", // Enable fuzzy search
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// boost: 1 // Boosting the relevance of subject matches
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// }
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// }
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// },
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// {
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// // Match the search term in the title field with a wildcard
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// wildcard: {
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// title: {
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// value: `${searchTerm}*`, // Wildcard search for terms starting with searchTerm
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// boost: 3 // Boosting the relevance of title matches
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// }
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// }
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// },
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// {
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// // Match the search term in the author field with a wildcard
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// wildcard: {
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// author: {
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// value: `${searchTerm}*`, // Wildcard search for terms starting with searchTerm
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// boost: 2 // Boosting the relevance of author matches
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// }
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// }
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// },
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// {
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// // Match the search term in the subject field with a wildcard
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// wildcard: {
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// subject: {
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// value: `${searchTerm}*`, // Wildcard search for terms starting with searchTerm
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// boost: 1 // Boosting the relevance of subject matches
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// }
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// }
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// }
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// ],
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// // Ensure that at least one of the `should` clauses must match
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// minimum_should_match: 1
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// }
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// },
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// // Limit the number of search results to 10
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// size: 10,
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// // Start from the first result (pagination)
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// from: 0,
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// // Sort the results by the `server_date_published` field in descending order
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// sort: [
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// { server_date_published: { order: "desc" } }
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// ],
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// // Aggregations to provide facets for the `language` and `subject` fields
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// aggs: {
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// language: {
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// terms: {
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// field: "language.keyword" // Aggregate by the exact values of the `language` field
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// }
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// },
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// subject: {
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// terms: {
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// field: "subjects.keyword", // Aggregate by the exact values of the `subjects` field
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// size: 10 // Limit the number of aggregation buckets to 10
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// }
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// }
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// }
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// };
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// try {
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// // Send the POST request to the OpenSearch endpoint
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// const response = await fetch(url, {
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// method: "POST",
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// headers: headers,
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// body: JSON.stringify(body),
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// });
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// // Check if the response is not successful
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// if (!response.ok) {
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// throw new Error(`Failed to fetch data from ${url}, status: ${response.status}`);
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// }
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// // Parse the response JSON
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// const data = await response.json();
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// // Log the data from OpenSearch
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// console.log("Data from OpenSearch:", data);
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// console.log("Hits:", data.hits.total.value);
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// } catch (error) {
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// // Log any errors that occur during the fetch process
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// console.error("Error fetching data:", error);
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// }
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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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@ -148,10 +24,19 @@ class DatasetService {
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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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// private openSearchUrl = "http://192.168.21.18/tethys-records/_search";
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// public searchTerm(term: string): Observable<Dataset[]> {
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public searchTerm(term: string): Observable<{ datasets: Dataset[], highlights: HitHighlight[] }> {
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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 path = "/" + openCore + "/_search";
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const base = host + path;
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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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const body = {
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query: {
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bool: {
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{ match: { title: { query: term, fuzziness: "AUTO", boost: 3 } } },
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{ match: { author: { query: term, fuzziness: "AUTO", boost: 2 } } },
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{ match: { subjects: { query: term, fuzziness: "AUTO", boost: 1 } } }, // In SOLR is "subject"!
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{ wildcard: { title: { value: `${term}*`, boost: 3 } } },
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{ wildcard: { author: { value: `${term}*`, boost: 2 } } },
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{ wildcard: { subjects: { value: `${term}*`, boost: 1 } } } // In SOLR is "subject"!
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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 } } } // In SOLR is "subject"!
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],
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minimum_should_match: 1
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}
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@ -190,7 +75,7 @@ class DatasetService {
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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>(this.openSearchUrl, body).pipe(
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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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@ -206,9 +91,7 @@ class DatasetService {
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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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// Calling the test method for
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// this.fetchDataFromOpenSearch(term);
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// solr endpoint
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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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const base = host + path;
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@ -268,6 +151,12 @@ class DatasetService {
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solrHost: string,
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start?: string, // Starting page
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): Observable<SolrResponse> {
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// console.log("face:", suggestion);
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// console.log(activeFilterCategories);
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// console.log(solrCore);
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// console.log(solrHost);
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// console.log(start);
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// Construct Solr query parameters
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const host = "https://" + solrHost;
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const path = "/solr/" + solrCore + "/select?";
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@ -59,6 +59,8 @@ export default class DatasetDetailComponent extends Vue {
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}
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onSearch(suggestion: Suggestion | string): void {
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console.log("onSearch");
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const host = window.location.host;
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const parts = host.split(".");
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if (parts[0] === "doi") {
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@ -122,11 +122,15 @@ export default class SearchViewComponent extends Vue {
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// Method to trigger a search
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onSearch(suggestion: Suggestion | string): void {
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console.log("ONSEARCH");
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// Reset active filter categories and facet results
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this.activeFilterCategories = new ActiveFilterCategories();
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this.facets = new FacetResults();
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this.searchTerm = suggestion;
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console.log("This.searchterm: ", this.searchTerm);
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/* 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
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with the Solr response as a parameter. If there is an error, it calls the errorHandler method with the error message as a parameter */
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DatasetService.facetedSearch(suggestion, this.activeFilterCategories, this.solr.core, this.solr.host, undefined).subscribe({
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