Apparently OpenSearch works properly. Still some final tests pending
This commit is contained in:
parent
8767748f9c
commit
332923df2d
|
@ -28,8 +28,7 @@ class DatasetService {
|
||||||
|
|
||||||
public searchTerm(term: string, openCore: string, openHost: string): Observable<{ datasets: Dataset[], highlights: HitHighlight[] }> {
|
public searchTerm(term: string, openCore: string, openHost: string): Observable<{ datasets: Dataset[], highlights: HitHighlight[] }> {
|
||||||
// OpenSearch endpoint
|
// OpenSearch endpoint
|
||||||
const host = "https://" + openHost; // When using geoinformation.dev
|
const host = openHost; // When using local OpenSearch dev endpoint
|
||||||
// const host = "http://" + openHost; // When using local OpenSearch dev endpoint
|
|
||||||
const path = "/" + openCore + "/_search";
|
const path = "/" + openCore + "/_search";
|
||||||
const base = host + path;
|
const base = host + path;
|
||||||
/**
|
/**
|
||||||
|
@ -55,20 +54,20 @@ class DatasetService {
|
||||||
// sort: [{ server_date_published: { order: "desc" } }],
|
// sort: [{ server_date_published: { order: "desc" } }],
|
||||||
sort: [{ _score: { order: "desc" } }], // Sort by _score in descending order
|
sort: [{ _score: { order: "desc" } }], // Sort by _score in descending order
|
||||||
track_scores: true, // This ensures "_score" is included even when sorting by other criteria. Otherwise the relevance score is not calculated
|
track_scores: true, // This ensures "_score" is included even when sorting by other criteria. Otherwise the relevance score is not calculated
|
||||||
// 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
|
|
||||||
// },
|
|
||||||
// HOME OFFICE ================================================================================
|
|
||||||
aggs: {
|
aggs: {
|
||||||
subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
|
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
|
language: { terms: { field: "language" } }, // << ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||||
author: { terms: { field: "author.keyword", size: 1000 } },
|
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
|
year: { terms: { field: "year", size: 100 } } // << ".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: {
|
highlight: {
|
||||||
fields: {
|
fields: {
|
||||||
title: {},
|
title: {},
|
||||||
|
@ -141,6 +140,170 @@ class DatasetService {
|
||||||
// return stations;
|
// return stations;
|
||||||
// }
|
// }
|
||||||
|
|
||||||
|
// public facetedSearchOPEN(
|
||||||
|
// suggestion: Suggestion | string,
|
||||||
|
// activeFilterCategories: ActiveFilterCategories,
|
||||||
|
// openCore: string,
|
||||||
|
// openHost: string,
|
||||||
|
// start?: string, // Starting page
|
||||||
|
// ): Observable<OpenSearchResponse> {
|
||||||
|
// // OpenSearch endpoint
|
||||||
|
// const host = openHost;
|
||||||
|
// const path = "/" + openCore + "/_search";
|
||||||
|
// const base = host + path;
|
||||||
|
|
||||||
|
// // 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: { [`${category}.keyword`]: values } };
|
||||||
|
// }
|
||||||
|
// });
|
||||||
|
// console.log("filters:", filters);
|
||||||
|
|
||||||
|
// // Determine search term and query fields based on the suggestion type
|
||||||
|
// let query;
|
||||||
|
// if (typeof suggestion === "string") { // If suggestion is a string, append a wildcard (*) for partial matches
|
||||||
|
// const lowercaseTerm = suggestion.toLowerCase()
|
||||||
|
// query = {
|
||||||
|
// bool: {
|
||||||
|
// should: [
|
||||||
|
// { match: { title: { query: suggestion, fuzziness: "AUTO", boost: 3 } } },
|
||||||
|
// { match: { author: { query: suggestion, fuzziness: "AUTO", boost: 2 } } },
|
||||||
|
// { match: { subjects: { query: suggestion, fuzziness: "AUTO", boost: 1 } } },
|
||||||
|
// { wildcard: { title: { value: `${lowercaseTerm}*`, boost: 3 } } },
|
||||||
|
// { wildcard: { author: { value: `${lowercaseTerm}*`, boost: 2 } } },
|
||||||
|
// { wildcard: { subjects: { value: `${lowercaseTerm}*`, boost: 1 } } }
|
||||||
|
// ],
|
||||||
|
// minimum_should_match: 1
|
||||||
|
// }
|
||||||
|
// };
|
||||||
|
// } else if (suggestion instanceof Suggestion) { // If suggestion is a Suggestion object, form a specific query
|
||||||
|
// query = {
|
||||||
|
// match: {
|
||||||
|
// [suggestion.type]: {
|
||||||
|
// query: suggestion.value,
|
||||||
|
// operator: 'and' // all the terms in the query must be present in the field e.g. if is a title, the complete title
|
||||||
|
// }
|
||||||
|
// }
|
||||||
|
// };
|
||||||
|
// }
|
||||||
|
|
||||||
|
// // Set default value for start if not provided
|
||||||
|
// const startValue = start ? parseInt(start) : 0;
|
||||||
|
|
||||||
|
// // console.log(activeFilterCategories);
|
||||||
|
// // console.log("mainQuery:", mainQuery);
|
||||||
|
|
||||||
|
// // Construct the body of the OpenSearch query
|
||||||
|
// const body = {
|
||||||
|
|
||||||
|
// query: {
|
||||||
|
// bool: {
|
||||||
|
// must: [
|
||||||
|
// mainQuery, // Ensure the main query must be satisfied
|
||||||
|
// ...filters // Ensure all filters must be satisfied
|
||||||
|
// ]
|
||||||
|
// }
|
||||||
|
// },
|
||||||
|
|
||||||
|
// // // WORKS // Expected: 12 results
|
||||||
|
// // query: {
|
||||||
|
// // bool: {
|
||||||
|
// // "must": [
|
||||||
|
// // { "term": { "language": "en" } },
|
||||||
|
// // { "term": { "subjects.keyword": "Lower Austria" } },
|
||||||
|
// // { "term": { "subjects.keyword": "counting data" } }
|
||||||
|
// // ],
|
||||||
|
// // }
|
||||||
|
// // },
|
||||||
|
|
||||||
|
// // // THIS WORKS: // Expected: 19 results
|
||||||
|
// // query: {
|
||||||
|
// // bool: {
|
||||||
|
// // must: [
|
||||||
|
// // { "match": { "title": "Blatt" } },
|
||||||
|
// // { "term": { "subjects": "bayern" } }
|
||||||
|
// // ],
|
||||||
|
// // }
|
||||||
|
// // },
|
||||||
|
|
||||||
|
// // // WORKS // Expected: 4 results
|
||||||
|
// // query: {
|
||||||
|
// // bool: {
|
||||||
|
// // "must": [
|
||||||
|
// // { "match": { "title": "blatt" } },
|
||||||
|
// // { "term": { "subjects": "bayern" } },
|
||||||
|
// // { "term": { "subjects": "salzburg" } }
|
||||||
|
// // ],
|
||||||
|
// // }
|
||||||
|
// // },
|
||||||
|
|
||||||
|
// // // WORKS // Expected: 2 results
|
||||||
|
// // query: {
|
||||||
|
// // bool: {
|
||||||
|
// // "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(
|
public facetedSearchOPEN(
|
||||||
suggestion: Suggestion | string,
|
suggestion: Suggestion | string,
|
||||||
activeFilterCategories: ActiveFilterCategories,
|
activeFilterCategories: ActiveFilterCategories,
|
||||||
|
@ -149,142 +312,7 @@ class DatasetService {
|
||||||
start?: string, // Starting page
|
start?: string, // Starting page
|
||||||
): Observable<OpenSearchResponse> {
|
): Observable<OpenSearchResponse> {
|
||||||
// OpenSearch endpoint
|
// OpenSearch endpoint
|
||||||
const host = "http://" + openHost; // When using local OpenSearch dev endpoint
|
const host = openHost;
|
||||||
const path = "/" + openCore + "/_search";
|
|
||||||
const base = host + path;
|
|
||||||
|
|
||||||
// Determine search term and query fields based on the suggestion type
|
|
||||||
let mainQuery;
|
|
||||||
if (typeof suggestion === "string") { // If suggestion is a string, append a wildcard (*) for partial matches
|
|
||||||
const lowercaseTerm = suggestion.toLowerCase()
|
|
||||||
mainQuery = {
|
|
||||||
bool: {
|
|
||||||
should: [
|
|
||||||
{ match: { title: { query: suggestion, fuzziness: "AUTO", boost: 3 } } },
|
|
||||||
{ match: { author: { query: suggestion, fuzziness: "AUTO", boost: 2 } } },
|
|
||||||
{ match: { subjects: { query: suggestion, fuzziness: "AUTO", boost: 1 } } },
|
|
||||||
{ wildcard: { title: { value: `${lowercaseTerm}*`, boost: 3 } } },
|
|
||||||
{ wildcard: { author: { value: `${lowercaseTerm}*`, boost: 2 } } },
|
|
||||||
{ wildcard: { subjects: { value: `${lowercaseTerm}*`, boost: 1 } } }
|
|
||||||
],
|
|
||||||
minimum_should_match: 1
|
|
||||||
}
|
|
||||||
};
|
|
||||||
} else if (suggestion instanceof Suggestion) { // If suggestion is a Suggestion object, form a specific query
|
|
||||||
mainQuery = {
|
|
||||||
match: {
|
|
||||||
[suggestion.type]: {
|
|
||||||
query: suggestion.value,
|
|
||||||
operator: 'and' // all the terms in the query must be present in the field
|
|
||||||
}
|
|
||||||
}
|
|
||||||
};
|
|
||||||
}
|
|
||||||
|
|
||||||
// Set default value for start if not provided
|
|
||||||
const startValue = start ? parseInt(start) : 0;
|
|
||||||
|
|
||||||
// Construct filter fields based on active filter categories
|
|
||||||
const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
|
|
||||||
terms: { [`${category}.keyword`]: values }
|
|
||||||
}));
|
|
||||||
|
|
||||||
// Construct the body of the OpenSearch query
|
|
||||||
const body = {
|
|
||||||
|
|
||||||
query: {
|
|
||||||
bool: {
|
|
||||||
must: [
|
|
||||||
mainQuery, // Ensure the main query must be satisfied
|
|
||||||
...filters // Ensure all filters must be satisfied
|
|
||||||
]
|
|
||||||
}
|
|
||||||
},
|
|
||||||
|
|
||||||
TODO: SEGUIR AQUI!
|
|
||||||
// // THIS WORKS:
|
|
||||||
// query: {
|
|
||||||
// bool: {
|
|
||||||
// "must": [
|
|
||||||
// { "match": { "title": "blatt" } },
|
|
||||||
// { "terms": { "subjects": "bayern" } }
|
|
||||||
// ],
|
|
||||||
// }
|
|
||||||
// },
|
|
||||||
|
|
||||||
// // TRY THIS
|
|
||||||
// query: {
|
|
||||||
// bool: {
|
|
||||||
// "must": [
|
|
||||||
// { "match": { "title": "blatt" } },
|
|
||||||
// { "terms": { "subjects": "bayern" } }
|
|
||||||
// { "terms": { "subjects": "salzburg" } }
|
|
||||||
// ],
|
|
||||||
// }
|
|
||||||
// },
|
|
||||||
|
|
||||||
// // TRY THIS
|
|
||||||
// query: {
|
|
||||||
// bool: {
|
|
||||||
// "must": [
|
|
||||||
// { "match": { "title": "blatt" } },
|
|
||||||
// { "terms": { "subjects": "bayern" } }
|
|
||||||
// ],
|
|
||||||
// "should": [
|
|
||||||
// { match: { title: { query: "blatt", fuzziness: "AUTO", boost: 3 } } },
|
|
||||||
// { match: { author: { query: "blatt", fuzziness: "AUTO", boost: 2 } } },
|
|
||||||
// { match: { subjects: { query: "blatt", fuzziness: "AUTO", boost: 1 } } },
|
|
||||||
// { wildcard: { title: { value: "blatt", boost: 3 } } },
|
|
||||||
// { wildcard: { author: { value: "blatt", boost: 2 } } },
|
|
||||||
// { wildcard: { subjects: { value: "blatt", 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.keyword" } },
|
|
||||||
author: { terms: { field: "author.keyword", size: 1000 } },
|
|
||||||
year: { terms: { field: "year.keyword", 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 facetedSearchOPEN2(
|
|
||||||
suggestion: Suggestion | string,
|
|
||||||
activeFilterCategories: ActiveFilterCategories,
|
|
||||||
openCore: string,
|
|
||||||
openHost: string,
|
|
||||||
start?: string, // Starting page
|
|
||||||
): Observable<OpenSearchResponse> {
|
|
||||||
// OpenSearch endpoint
|
|
||||||
// const host = "https://" + openHost; // When using geoinformation.dev
|
|
||||||
const host = "http://" + openHost; // When using local OpenSearch dev endpoint
|
|
||||||
const path = "/" + openCore + "/_search";
|
const path = "/" + openCore + "/_search";
|
||||||
const base = host + path;
|
const base = host + path;
|
||||||
|
|
||||||
|
@ -322,11 +350,11 @@ class DatasetService {
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
// HOME OFFICE ====================================================
|
// CONTABO ====================================================
|
||||||
// Constructing Filters Based on Active Filter Categories
|
// // Constructing Filters Based on Active Filter Categories
|
||||||
const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
|
// const filters = Object.entries(activeFilterCategories).map(([category, values]) => ({
|
||||||
terms: { [`${category}.keyword`]: values }
|
// terms: { [`${category}.keyword`]: values }
|
||||||
}));
|
// }));
|
||||||
// ================================================================
|
// ================================================================
|
||||||
|
|
||||||
// // Constructing Filters Based on Active Filter Categories
|
// // Constructing Filters Based on Active Filter Categories
|
||||||
|
@ -338,6 +366,20 @@ class DatasetService {
|
||||||
// }
|
// }
|
||||||
// });
|
// });
|
||||||
|
|
||||||
|
|
||||||
|
// const filters = Object.entries(activeFilterCategories).map(([category, values]) =>
|
||||||
|
// values.map(value => ({ term: { [`${category}.keyword`]: value } }))
|
||||||
|
// ).flat();
|
||||||
|
|
||||||
|
|
||||||
|
const filters = Object.entries(activeFilterCategories).map(([category, values]) => {
|
||||||
|
if (category === "language" || category === "year") {
|
||||||
|
return values.map(value => ({ term: { [category]: value } }));
|
||||||
|
} else {
|
||||||
|
return values.map(value => ({ term: { [`${category}.keyword`]: value } }));
|
||||||
|
}
|
||||||
|
}).flat();
|
||||||
|
|
||||||
// console.log(activeFilterCategories);
|
// console.log(activeFilterCategories);
|
||||||
console.log("mainQuery:", mainQuery);
|
console.log("mainQuery:", mainQuery);
|
||||||
console.log("filters:", filters);
|
console.log("filters:", filters);
|
||||||
|
@ -353,6 +395,7 @@ class DatasetService {
|
||||||
// // ] // Contains the filters constructed from activeFilterCategories.
|
// // ] // Contains the filters constructed from activeFilterCategories.
|
||||||
// }
|
// }
|
||||||
// },
|
// },
|
||||||
|
|
||||||
query: {
|
query: {
|
||||||
bool: {
|
bool: {
|
||||||
must: [
|
must: [
|
||||||
|
@ -361,26 +404,46 @@ 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,
|
size: 10,
|
||||||
from: start ? parseInt(start) : 0,
|
from: start ? parseInt(start) : 0,
|
||||||
sort: [{ _score: { order: "desc" } }],
|
sort: [{ _score: { order: "desc" } }],
|
||||||
track_scores: true,
|
track_scores: true,
|
||||||
// aggs: { // Defines aggregations for facets
|
aggs: { // Defines aggregations for facets
|
||||||
// // terms: Aggregation type that returns the most common terms in a field.
|
// 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
|
// !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.
|
// 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.
|
||||||
// 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
|
|
||||||
// },
|
|
||||||
// HOME OFFICE ================================================================================
|
|
||||||
aggs: {
|
|
||||||
subjects: { terms: { field: "subjects.keyword", size: 1000 } }, // In SOLR is "subject"!
|
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
|
language: { terms: { field: "language" } }, // ".keyword" HAS TO BE REMOVED. OTHERWISE BUCKETS ARE NOT OBTAINED FOR THIS
|
||||||
author: { terms: { field: "author.keyword", size: 1000 } },
|
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
|
year: { terms: { field: "year", size: 100 } } // ".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: {
|
highlight: {
|
||||||
fields: {
|
fields: {
|
||||||
|
@ -391,8 +454,7 @@ class DatasetService {
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
console.log("body:", body);
|
console.log("body:", body);
|
||||||
|
|
||||||
|
|
||||||
const stations = api.post<OpenSearchResponse>(base, body);
|
const stations = api.post<OpenSearchResponse>(base, body);
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue
Block a user