Progress with OpenSearch tests with fuzzy search and wildcard
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@ -88,7 +88,12 @@ export default class VsInput extends Vue {
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// };
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const suggestions = new Array<Suggestion>();
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console.log("Display:", this.display);
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this.results.forEach((dataset) => {
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console.log("suggestions:foreach:", dataset.id);
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// const del = dataset.title_output?.toLowerCase();
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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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@ -168,7 +173,7 @@ export default class VsInput extends Vue {
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}
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private request(): void {
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console.log("searchTerm");
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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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next: (res: Dataset[]) => this.dataHandler(res),
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error: (error: string) => this.errorHandler(error),
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@ -178,6 +183,8 @@ export default class VsInput extends Vue {
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private dataHandler(datasets: Dataset[]): void {
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this.results = datasets;
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// console.log(datasets);
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// this.$emit("search", this.display);
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// this.loading = false;
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}
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@ -9,34 +9,228 @@ import { VUE_API } from "@/constants";
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import { deserialize } from "class-transformer";
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class DatasetService {
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/* Initial test method to fetch and log data from the local OpenSearch endpoint (new backend) */
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// /* Initial test method to fetch and log data from the local OpenSearch endpoint (new backend) */
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// async fetchDataFromOpenSearch(searchTerm: string): Promise<void> {
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// const url = "http://192.168.21.18/tethys-records/_search";
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// const headers = {
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// "Content-Type": "application/json",
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// };
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// const body = {
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// query: {
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// match: {
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// title: searchTerm,
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// },
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// },
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// };
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// try {
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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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// 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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// const data = await response.json();
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// console.log("Data from OpenSearch:", data);
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// } catch (error) {
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// console.error("Error fetching data:", error);
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// }
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// }
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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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*/
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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://192.168.21.18/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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match: {
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title: searchTerm,
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},
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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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// // 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 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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