@searchkit/api - npm Package Compare versions

Comparing version 4.0.0-next.5 to 4.0.0-next.6

dist/index.d.ts

@@ -79,7 +79,11 @@ import { MultipleQueriesQuery } from '@algolia/client-search';
 }
+interface AppSettings {
+    debug: boolean;
+}
 
 declare class Client {
     private config;
+    private settings;
     transporter: Transporter;
-    constructor(config: ClientConfig);
+    constructor(config: ClientConfig, settings?: AppSettings);
     private performSearch;
@@ -165,4 +169,4 @@ handleRequest(body: any, requestOptions?: RequestOptions): Promise<{
 }
-declare const createClient: (config: ClientConfig) => Client;
+declare const createClient: (config: ClientConfig, settings?: AppSettings) => Client;
 
-export { ClientConfig, ClientConfigConnection, ElasticsearchHit, ElasticsearchQuery, ElasticsearchResponseBody, FacetAttribute, FacetFieldConfig, QueryRule, QueryRuleAction, QueryRuleCondition, RequestOptions, SearchRequest, SearchSettingsConfig, Transporter, createClient as default };
+export { AppSettings, ClientConfig, ClientConfigConnection, ElasticsearchHit, ElasticsearchQuery, ElasticsearchResponseBody, FacetAttribute, FacetFieldConfig, QueryRule, QueryRuleAction, QueryRuleCondition, RequestOptions, SearchRequest, SearchSettingsConfig, Transporter, createClient as default };

dist/index.js

@@ -583,15 +583,19 @@ "use strict";
 function transformResponse(response, instantsearchRequest, config, queryRuleActions) {
-  return {
-    exhaustiveNbHits: true,
-    exhaustiveFacetsCount: true,
-    exhaustiveTypo: true,
-    exhaustive: { facetsCount: true, nbHits: true, typo: true },
-    ...getPageDetails(response, instantsearchRequest, config),
-    ...getRenderingContent(config, queryRuleActions),
-    ...getFacets(response, config),
-    hits: getHits(response, config),
-    index: instantsearchRequest.indexName,
-    params: (0, import_querystring.stringify)(instantsearchRequest.params),
-    ...queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {}
-  };
+  try {
+    return {
+      exhaustiveNbHits: true,
+      exhaustiveFacetsCount: true,
+      exhaustiveTypo: true,
+      exhaustive: { facetsCount: true, nbHits: true, typo: true },
+      ...getPageDetails(response, instantsearchRequest, config),
+      ...getRenderingContent(config, queryRuleActions),
+      ...getFacets(response, config),
+      hits: getHits(response, config),
+      index: instantsearchRequest.indexName,
+      params: (0, import_querystring.stringify)(instantsearchRequest.params),
+      ...queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {}
+    };
+  } catch (e) {
+    throw new Error(`Error transforming Elasticsearch response for index`);
+  }
 }
@@ -620,21 +624,47 @@ var transformFacetValuesResponse = (response, instantsearchRequest) => {
   async msearch(requests) {
-    const response = await fetch(`${this.config.host}/_msearch`, {
-      headers: {
-        ...this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {},
-        "content-type": "application/json"
-      },
-      body: requests.reduce(
-        (sum, request) => [
-          ...sum,
-          JSON.stringify({ index: request.indexName }),
-          "\n",
-          JSON.stringify(request.body),
-          "\n"
-        ],
-        []
-      ).join(""),
-      method: "POST"
-    });
-    const responses = await response.json();
-    return responses.responses;
+    var _a, _b, _c, _d;
+    try {
+      const response = await fetch(`${this.config.host}/_msearch`, {
+        headers: {
+          ...this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {},
+          "content-type": "application/json"
+        },
+        body: requests.reduce(
+          (sum, request) => [
+            ...sum,
+            JSON.stringify({ index: request.indexName }),
+            "\n",
+            JSON.stringify(request.body),
+            "\n"
+          ],
+          []
+        ).join(""),
+        method: "POST"
+      });
+      const responses = await response.json();
+      if (responses.status >= 500) {
+        throw new Error(
+          "Elasticsearch Internal Error: Check your elasticsearch instance to make sure it can recieve requests."
+        );
+      } else if (responses.status === 401) {
+        throw new Error(
+          "Cannot connect to Elasticsearch. Check your connection host and API Key. You can also provide a custom Elasticsearch transporter to the API Client. See docs for more information."
+        );
+      } else if (((_b = (_a = responses.responses) == null ? void 0 : _a[0]) == null ? void 0 : _b.status) === 403) {
+        throw new Error(
+          "Auth Error: You do not have permission to access this index. Check you are calling the right index (specified in frontend) and your API Key permissions has access to the index."
+        );
+      } else if (responses.status === 404 || ((_d = (_c = responses.responses) == null ? void 0 : _c[0]) == null ? void 0 : _d.status) === 404) {
+        throw new Error(
+          "Elasticsearch index not found. Check your index name and make sure it exists."
+        );
+      } else if (responses.status === 400) {
+        throw new Error(
+          "Elasticsearch Bad Request. Check your query and make sure it is valid. Turn on debug mode to see the Elasticsearch query."
+        );
+      }
+      return responses.responses;
+    } catch (error) {
+      throw error;
+    }
   }
@@ -699,7 +729,12 @@ };
 var Client = class {
-  constructor(config) {
+  constructor(config, settings = { debug: false }) {
     this.config = config;
+    this.settings = settings;
     this.transporter = "msearch" in config.connection ? config.connection : new ESTransporter(config.connection);
   }
   async performSearch(requests) {
+    if (this.settings.debug) {
+      console.log("Performing search with requests:");
+      console.log(JSON.stringify(requests, null, 2));
+    }
     const responses = await this.transporter.msearch(requests);
@@ -748,3 +783,3 @@ return responses;
 };
-var createClient = (config) => new Client(config);
+var createClient = (config, settings) => new Client(config, settings);
 var src_default = createClient;
@@ -751,0 +786,0 @@ // Annotate the CommonJS export names for ESM import in node:

dist/index.js.map

@@ -1,1 +0,1 @@
-{"version":3,"sources":["../src/index.ts","../src/transformRequest.ts","../src/utils.ts","../src/transformResponse.ts","../src/highlightUtils.ts","../src/Transporter.ts","../src/queryRules.ts"],"sourcesContent":["import type { MultipleQueriesQuery as AlgoliaMultipleQueriesQuery } from '@algolia/client-search'\nimport { transformRequest } from './transformRequest'\nimport transformResponse, { transformFacetValuesResponse } from './transformResponse'\nimport { ClientConfig, SearchRequest, RequestOptions, Transporter, QueryRuleAction } from './types'\nimport { ESTransporter } from './Transporter'\nimport { getQueryRulesActionsFromRequest, QueryRuleActions } from './queryRules'\nexport * from './types'\n\nclass Client {\n  transporter: Transporter\n\n  constructor(private config: ClientConfig) {\n    this.transporter =\n      'msearch' in config.connection ? config.connection : new ESTransporter(config.connection)\n  }\n\n  private async performSearch(requests: SearchRequest[]) {\n    const responses = await this.transporter.msearch(requests)\n    return responses\n  }\n\n  async handleRequest(body: any, requestOptions?: RequestOptions) {\n    const instantsearchRequests = body as AlgoliaMultipleQueriesQuery[]\n\n    const instantsearchResponses = this.handleInstantSearchRequests(\n      instantsearchRequests,\n      requestOptions\n    )\n\n    return instantsearchResponses\n  }\n\n  async handleInstantSearchRequests(\n    instantsearchRequests: AlgoliaMultipleQueriesQuery[],\n    requestOptions?: RequestOptions\n  ) {\n    const queryRules = this.config.search_settings.query_rules || []\n\n    const requestQueryRuleActions: QueryRuleActions[] = instantsearchRequests.map((request) => {\n      return getQueryRulesActionsFromRequest(queryRules, request)\n    })\n\n    const esRequests: SearchRequest[] = instantsearchRequests.map((request, i) => ({\n      body: transformRequest(\n        request,\n        this.config.search_settings,\n        requestQueryRuleActions[i],\n        requestOptions\n      ),\n      indexName: request.indexName\n    }))\n\n    const esResponses = await this.performSearch(esRequests)\n\n    const instantsearchResponses = esResponses.map((response, i) => {\n      // @ts-ignore\n      if (instantsearchRequests[i].params?.facetName) {\n        return transformFacetValuesResponse(response, instantsearchRequests[i])\n      }\n      return transformResponse(\n        response,\n        instantsearchRequests[i],\n        this.config.search_settings,\n        requestQueryRuleActions[i]\n      )\n    })\n\n    return {\n      results: instantsearchResponses\n    }\n  }\n}\n\nconst createClient = (config: ClientConfig) => new Client(config)\n\nexport default createClient\n","import deepmerge from 'deepmerge'\nimport { QueryRuleActions } from './queryRules'\nimport { FacetAttribute, RequestOptions, SearchSettingsConfig } from './types'\nimport {\n  AlgoliaMultipleQueriesQuery,\n  ElasticsearchQuery,\n  ElasticsearchSearchRequest\n} from './types'\nimport { getFacet, getFacetAttribute } from './utils'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nconst transformNumericFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { numericFilters } = params\n\n  if (!Array.isArray(numericFilters)) {\n    return []\n  }\n\n  return numericFilters.reduce((sum, filter) => {\n    const [match, field, operator, value] = filter.match(\n      /([\\w\\.\\_\\-]+)(\\=|\\!\\=|\\>|\\>\\=|\\<|\\<\\=)(\\d+)/\n    )\n    const fieldConfig = getFacet(config.facet_attributes || [], field)\n\n    if (!match) return sum\n\n    const getFilter = (operator: string, value: string) => {\n      if (operator === '=') {\n        return {\n          term: {\n            [field]: value\n          }\n        }\n      } else if (operator === '!=') {\n        return {\n          bool: {\n            must_not: {\n              term: {\n                [field]: value\n              }\n            }\n          }\n        }\n      } else if (operator === '>') {\n        return {\n          range: {\n            [field]: {\n              gt: value\n            }\n          }\n        }\n      } else if (operator === '>=') {\n        return {\n          range: {\n            [field]: {\n              gte: value\n            }\n          }\n        }\n      } else if (operator === '<') {\n        return {\n          range: {\n            [field]: {\n              lt: value\n            }\n          }\n        }\n      } else if (operator === '<=') {\n        return {\n          range: {\n            [field]: {\n              lte: value\n            }\n          }\n        }\n      }\n    }\n\n    const esFilter = []\n\n    if (typeof fieldConfig !== 'string' && fieldConfig.nestedPath) {\n      esFilter.push({\n        nested: {\n          path: fieldConfig.nestedPath,\n          query: {\n            bool: {\n              filter: [getFilter(operator, value)]\n            }\n          }\n        }\n      })\n    } else {\n      esFilter.push(getFilter(operator, value))\n    }\n\n    return [...sum, ...esFilter]\n  }, [])\n}\n\nconst termFilter = (field: string, value: string) => {\n  return { term: { [field]: value } }\n}\n\nconst transformFacetFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { facetFilters } = params\n\n  if (!Array.isArray(facetFilters)) {\n    return []\n  }\n\n  return facetFilters.reduce((sum, filter) => {\n    if (Array.isArray(filter)) {\n      return [\n        ...sum,\n        {\n          bool: {\n            should: filter.reduce((sum, filter) => {\n              const [facet, value] = filter.split(':')\n              const facetAttribute = getFacetAttribute(facet)\n              const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n              const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n              if (\n                typeof facetConfig !== 'string' &&\n                isNestedFacet(facetConfig) &&\n                facetConfig.nestedPath\n              ) {\n                // detect if there is a nested filter in sum\n                // if one doesn't exist, add one\n                // if one does exist, add to it\n                const nestedFilter = sum.find((filter: any) => {\n                  return filter.nested && filter.nested.path === facetConfig.nestedPath\n                })\n\n                if (nestedFilter) {\n                  nestedFilter.nested.query.bool.should.push(\n                    termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                  )\n                  return sum\n                } else {\n                  return [\n                    ...sum,\n                    {\n                      nested: {\n                        path: facetConfig.nestedPath,\n                        query: {\n                          bool: {\n                            should: [\n                              termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                            ]\n                          }\n                        }\n                      }\n                    }\n                  ]\n                }\n              }\n              return [...sum, termFilter(field, value)]\n            }, [])\n          }\n        }\n      ]\n    } else if (typeof filter === 'string') {\n      const [facet, value] = filter.split(':')\n      const facetAttribute = getFacetAttribute(facet)\n      const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n      const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n      if (typeof facetConfig !== 'string' && isNestedFacet(facetConfig) && facetConfig.nestedPath) {\n        // detect if there is a nested filter in sum\n        // if one doesn't exist, add one\n        // if one does exist, add to it\n        const nestedFilter = sum.find((filter: any) => {\n          return filter.nested && filter.nested.path === facetConfig.nestedPath + '.'\n        })\n\n        if (nestedFilter) {\n          nestedFilter.nested.query.bool.should.push(\n            termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n          )\n          return sum\n        } else {\n          return [\n            ...sum,\n            {\n              nested: {\n                path: facetConfig.nestedPath,\n                query: {\n                  bool: {\n                    should: [termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)]\n                  }\n                }\n              }\n            }\n          ]\n        }\n      }\n      return [...sum, termFilter(field, value)]\n    }\n  }, [])\n}\n\nconst isNestedFacet = (facet: FacetAttribute): boolean => {\n  return typeof facet !== 'string' && !!facet.nestedPath\n}\n\nconst getTermAggregation = (facet: FacetAttribute, size: number, search: string) => {\n  const searchInclude = search && search.length > 0 ? { include: createRegexQuery(search) } : {}\n  let aggEntries = {}\n\n  const getInnerAggs = (facetName: string, field: string): any => {\n    if (typeof facet === 'string' || facet.type === 'string') {\n      aggEntries = {\n        [facetName]: {\n          terms: {\n            field: field,\n            size,\n            ...searchInclude\n          }\n        }\n      }\n    } else if (facet.type === 'numeric') {\n      aggEntries = {\n        [facetName + '$_stats']: {\n          stats: {\n            field: field\n          }\n        },\n        [facetName + '$_entries']: {\n          terms: {\n            field: field,\n            size: size\n          }\n        }\n      }\n    }\n    return aggEntries\n  }\n\n  if (typeof facet === 'string') {\n    return getInnerAggs(facet, facet)\n  } else if (isNestedFacet(facet)) {\n    return {\n      [`${facet.nestedPath}.`]: {\n        nested: {\n          path: facet.nestedPath\n        },\n        aggs: getInnerAggs(facet.attribute, `${facet.nestedPath}.${facet.field}`)\n      }\n    }\n  } else {\n    return getInnerAggs(facet.attribute, facet.field)\n  }\n}\n\nexport const getAggs = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) => {\n  const { params = {}, type } = request\n  // @ts-ignore\n  const { facets, maxValuesPerFacet, facetName, facetQuery } = params\n  const maxFacetSize = maxValuesPerFacet || 10\n  const facetAttributes = config.facet_attributes || []\n\n  if (facetName) {\n    return getTermAggregation(getFacet(facetAttributes, facetName), maxFacetSize, facetQuery)\n  } else if (Array.isArray(facets)) {\n    let facetAttibutes = config.facet_attributes || []\n\n    if (queryRuleActions.facetAttributesOrder) {\n      facetAttibutes = queryRuleActions.facetAttributesOrder.map((attribute) => {\n        return getFacet(config.facet_attributes || [], attribute)\n      })\n    }\n\n    const facetAttributes: FacetAttribute[] =\n      facets[0] === '*'\n        ? facetAttibutes\n        : facets.map((facetAttribute) => {\n            return getFacet(config.facet_attributes || [], facetAttribute)\n          })\n    return (\n      facetAttributes.reduce((sum, facet) => {\n        return deepmerge(sum, getTermAggregation(facet, maxFacetSize, ''))\n      }, {}) || {}\n    )\n  } else if (typeof facets === 'string') {\n    const field = getFacet(config.facet_attributes || [], facets)\n    return getTermAggregation(field, maxFacetSize, '')\n  }\n}\n\nexport function RelevanceQueryMatch(\n  query: string,\n  search_attributes: string[],\n  queryRuleActions: QueryRuleActions\n) {\n  if (queryRuleActions) {\n    return {\n      function_score: {\n        query: {\n          pinned: {\n            ids: queryRuleActions.pinnedDocs,\n            organic: {\n              combined_fields: {\n                query: queryRuleActions.query,\n                fields: search_attributes\n              }\n            }\n          }\n        },\n        functions: queryRuleActions.boostFunctions\n      }\n    }\n  }\n  return {\n    combined_fields: { query: query, fields: search_attributes }\n  }\n}\n\nconst getQuery = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n) => {\n  const { params = {} } = request\n  const { query } = params\n\n  const searchAttributes = config.search_attributes\n\n  const filters = [\n    ...transformFacetFilters(request, config),\n    ...transformNumericFilters(request, config),\n    ...(requestOptions?.getBaseFilters?.() || [])\n  ]\n\n  return {\n    bool: {\n      filter: filters,\n      must:\n        typeof query === 'string' && query !== ''\n          ? requestOptions?.getQuery\n            ? requestOptions.getQuery(query, searchAttributes, config)\n            : RelevanceQueryMatch(query, searchAttributes, queryRuleActions)\n          : []\n    }\n  }\n}\n\nconst getResultsSize = (request: AlgoliaMultipleQueriesQuery, config: SearchSettingsConfig) => {\n  const { params = {} } = request\n  const hitsPerPage = params.hitsPerPage || 20\n\n  return {\n    size: hitsPerPage,\n    from: (params.page || 0) * hitsPerPage\n  }\n}\n\nexport const getHitFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToRetrieve } = params\n  // ignoring attributesToRetrieve for now\n\n  return {\n    _source: {\n      includes: config.result_attributes\n    }\n  }\n}\n\nexport const getHighlightFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToHighlight } = params\n  // ignoring attributesToHighlight for now\n  return {\n    highlight: {\n      pre_tags: [params.highlightPreTag || '<ais-highlight-0000000000>'],\n      post_tags: [params.highlightPostTag || '</ais-highlight-0000000000>'],\n      fields:\n        config.highlight_attributes?.reduce(\n          (sum, field) => ({\n            ...sum,\n            [field]: {}\n          }),\n          {}\n        ) || {}\n    }\n  }\n}\n\nexport function transformRequest(\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n): ElasticsearchSearchRequest {\n  const body: ElasticsearchSearchRequest = {\n    aggs: getAggs(request, config, queryRuleActions),\n    query: getQuery(request, config, queryRuleActions, requestOptions),\n    ...getResultsSize(request, config),\n    ...getHitFields(request, config),\n    ...getHighlightFields(request, config)\n  }\n\n  return body\n}\n","import { FacetAttribute, FacetFieldConfig } from './types'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nexport const getFacet = (\n  facet_attributes: FacetAttribute[],\n  attributeName: string\n): FacetAttribute => {\n  const f = facet_attributes.find((a) => {\n    if (typeof a === 'string') {\n      return a === attributeName\n    }\n    return a.attribute === attributeName\n  })\n  return f || attributeName\n}\n\nexport const getFacetField = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.field || attributeKey\n  )\n}\n\nexport const getFacetByAttribute = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = getFacetAttribute(attribute)\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.attribute || attributeKey\n  )\n}\n\nexport const getFacetAttribute = (facetAttribute: FacetAttribute): string => {\n  return typeof facetAttribute === 'string' ? facetAttribute : facetAttribute.attribute\n}\n\nexport const getFacetFieldType = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): FacetFieldConfig['type'] => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return 'string'\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a?.attribute === attributeKey)?.type || 'string'\n  )\n}\n","import { stringify } from 'querystring'\nimport { SearchSettingsConfig } from './types'\nimport { getHighlightFields, highlightTerm } from './highlightUtils'\nimport { AlgoliaMultipleQueriesQuery, ElasticsearchResponseBody } from './types'\nimport { getFacetFieldType } from './utils'\nimport { QueryRuleActions } from './queryRules'\n\ntype FacetsList = Record<string, Record<string, number>>\ntype FacetsStats = Record<string, { min: number; max: number; avg: number; sum: number }>\n\nconst getHits = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  const { hits } = response\n\n  return hits.hits.map((hit) => ({\n    objectID: hit._id,\n    ...(hit._source || {}),\n    _highlightResult: getHighlightFields(hit)\n  }))\n}\n\nconst getFacets = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  if (!response?.aggregations) {\n    return {}\n  }\n\n  // flattening for nested facets\n  const aggregations = Object.keys(response.aggregations).reduce<Record<string, any>>(\n    (sum, key) => {\n      const value = (response.aggregations || {})[key] as any\n\n      if (key.endsWith('.')) {\n        const { doc_count, ...nestedAggregations } = value\n        return {\n          ...sum,\n          ...nestedAggregations\n        }\n      }\n\n      return {\n        ...sum,\n        [key]: value\n      }\n    },\n    {}\n  )\n\n  return Object.keys(aggregations).reduce<{\n    facets: FacetsList\n    facets_stats: FacetsStats\n  }>(\n    (sum, f) => {\n      const facet = f.split('$')[0]\n      const fieldType = getFacetFieldType(config.facet_attributes || [], facet)\n\n      if (fieldType === 'numeric') {\n        const facetValues = aggregations[facet + '$_stats'] as any\n        const { buckets } = aggregations[facet + '$_entries'] as {\n          buckets: any[]\n        }\n\n        return {\n          ...sum,\n          facets: {\n            ...sum.facets,\n            [facet]: buckets.reduce<Record<string, number>>(\n              (sum, bucket) => ({\n                ...sum,\n                [bucket.key]: bucket.doc_count\n              }),\n              {}\n            )\n          },\n          facets_stats: {\n            ...sum.facets_stats,\n            [facet]: {\n              min: facetValues.min,\n              avg: facetValues.avg,\n              max: facetValues.max,\n              sum: facetValues.sum\n            }\n          }\n        }\n      }\n\n      const { buckets } = aggregations[facet] as { buckets: any[] }\n\n      return {\n        ...sum,\n        facets: {\n          ...sum.facets,\n          [facet]: buckets.reduce<Record<string, number>>(\n            (sum, bucket) => ({\n              ...sum,\n              [bucket.key]: bucket.doc_count\n            }),\n            {}\n          )\n        }\n      }\n    },\n    {\n      facets: {},\n      facets_stats: {}\n    }\n  )\n}\n\nconst getRenderingContent = (config: SearchSettingsConfig, queryRuleActions: QueryRuleActions) => {\n  const defaultOrder = config.facet_attributes?.map((facet) =>\n    typeof facet === 'string' ? facet : facet.attribute\n  )\n\n  return {\n    renderingContent: 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AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { hitsPerPage = 20, page = 0, query = '' } = params\n\n  const { total } = response.hits\n  const totalHits = typeof total === 'number' ? total : total?.value\n  const nbPages = Math.ceil((typeof total === 'number' ? total : total?.value || 0) / hitsPerPage)\n\n  return {\n    hitsPerPage,\n    processingTimeMS: response.took,\n    nbHits: totalHits,\n    page: page,\n    nbPages,\n    query\n  }\n}\n\nexport default function transformResponse(\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) {\n  return {\n    exhaustiveNbHits: true,\n    exhaustiveFacetsCount: true,\n    exhaustiveTypo: true,\n    exhaustive: { facetsCount: true, nbHits: true, typo: true },\n    ...getPageDetails(response, instantsearchRequest, config),\n    ...getRenderingContent(config, 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query: string): string {\n  const regex = new RegExp(query, 'gi')\n  return value.replace(\n    regex,\n    (match) => `<ais-highlight-0000000000>${match}</ais-highlight-0000000000>`\n  )\n}\n\nexport function getHighlightFields(hit: ElasticsearchHit) {\n  const { _source = {}, highlight = {} } = hit\n\n  const hitHighlights = Object.keys(_source).reduce<Record<string, any>>((sum, fieldKey) => {\n    const fieldValue: any = _source[fieldKey]\n    const highlightedMatch = highlight[fieldKey] || null\n\n    if (Array.isArray(fieldValue) && !highlightedMatch) {\n      return {\n        ...sum,\n        [fieldKey]: fieldValue.map((value) => ({\n          matchLevel: 'none',\n          matchedWords: [],\n          value: value\n        }))\n      }\n    } else if (Array.isArray(highlightedMatch)) {\n      // TODO: needs to return all non matches values too\n      return {\n        ...sum,\n        [fieldKey]: highlightedMatch.map((highlightedMatch) => {\n          const matchWords = Array.from(\n            highlightedMatch.matchAll(\n              /\\<ais-highlight-0000000000\\>(.*?)\\<\\/ais-highlight-0000000000\\>/g\n            )\n          ).map((match) => match[1])\n          return {\n            fullyHighlighted: false,\n            matchLevel: 'full',\n            matchedWords: matchWords,\n            value: highlightedMatch\n          }\n        })\n      }\n    }\n\n    return {\n      ...sum,\n      [fieldKey]: {\n        matchLevel: 'none',\n        matchedWords: [],\n        value: fieldValue\n      }\n    }\n  }, {})\n\n  return hitHighlights\n}\n","import { ClientConfigConnection, SearchRequest } from './types'\nimport { ElasticsearchResponseBody, Transporter } from './types'\n\nexport class ESTransporter implements Transporter {\n  constructor(public config: ClientConfigConnection) {}\n\n  async msearch(requests: SearchRequest[]): Promise<ElasticsearchResponseBody[]> {\n    // @ts-ignore\n    const response = await fetch(`${this.config.host}/_msearch`, {\n      headers: {\n        ...(this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {}),\n        'content-type': 'application/json'\n      },\n      body: requests\n        .reduce<string[]>(\n          (sum, request) => [\n            ...sum,\n            JSON.stringify({ index: request.indexName }),\n            '\\n',\n            JSON.stringify(request.body),\n            '\\n'\n          ],\n          []\n        )\n        .join(''),\n      method: 'POST'\n    })\n\n    const responses = await response.json()\n    return responses.responses\n  }\n}\n","import { AlgoliaMultipleQueriesQuery, QueryRule, SearchSettingsConfig } from './types'\n\nexport interface QueryContext {\n  query: string\n}\n\nexport interface QueryRuleActions {\n  pinnedDocs: string[]\n  boostFunctions: any[]\n  query: string\n  userData: unknown[]\n  facetAttributesOrder: string[] | undefined\n}\n\nexport const getQueryRulesActionsFromRequest = (\n  queryRules: QueryRule[],\n  request: AlgoliaMultipleQueriesQuery\n) => {\n  const queryContext: QueryContext = {\n    query: request.params?.query || ''\n  }\n\n  const satisfiedRules = getSatisfiedRules(queryContext, queryRules || [])\n\n  const actions = satisfiedRules.reduce<QueryRuleActions>(\n    (sum, rule) => {\n      rule.actions.map((action) => {\n        if (action.action === 'PinnedResult') {\n          sum.pinnedDocs.push(...action.documentIds)\n        } else if (action.action === 'QueryRewrite') {\n          sum.query = action.query\n        } else if (action.action === 'QueryAttributeBoost') {\n          sum.boostFunctions.push({\n            filter: {\n              match: { [action.attribute]: { query: action.value } }\n            },\n            weight: action.boost\n          })\n        } else if (action.action === 'RenderUserData') {\n          sum.userData.push(JSON.parse(action.userData))\n        } else if (action.action === 'RenderFacetsOrder') {\n          sum.facetAttributesOrder = action.facetAttributesOrder\n        }\n      })\n      return sum\n    },\n    {\n      pinnedDocs: [],\n      boostFunctions: [],\n      query: queryContext.query,\n      userData: [],\n      facetAttributesOrder: undefined\n    }\n  )\n  return actions\n}\n\nexport const getSatisfiedRules = (queryContext: QueryContext, rules: QueryRule[]) =>\n  rules.filter(\n    (rule) =>\n      rule.conditions.filter((condition) => {\n        if (condition.context === 'query' && condition.match_type === 'exact') {\n          return condition.value === queryContext.query\n        }\n        if (condition.context === 'query' && condition.match_type === 'contains') {\n          return queryContext.query.includes(condition.value)\n        }\n        if (condition.context === 'query' && condition.match_type === 'prefix') {\n          return queryContext.query.startsWith(condition.value)\n        }\n\n        return false\n      }).length > 0\n  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+{"version":3,"sources":["../src/index.ts","../src/transformRequest.ts","../src/utils.ts","../src/transformResponse.ts","../src/highlightUtils.ts","../src/Transporter.ts","../src/queryRules.ts"],"sourcesContent":["import type { MultipleQueriesQuery as AlgoliaMultipleQueriesQuery } from '@algolia/client-search'\nimport { transformRequest } from './transformRequest'\nimport transformResponse, { transformFacetValuesResponse } from './transformResponse'\nimport {\n  ClientConfig,\n  SearchRequest,\n  RequestOptions,\n  Transporter,\n  QueryRuleAction,\n  AppSettings\n} from './types'\nimport { ESTransporter } from './Transporter'\nimport { getQueryRulesActionsFromRequest, QueryRuleActions } from './queryRules'\nexport * from './types'\n\nclass Client {\n  transporter: Transporter\n\n  constructor(private config: ClientConfig, private settings: AppSettings = { debug: false }) {\n    this.transporter =\n      'msearch' in config.connection ? config.connection : new 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getQueryRulesActionsFromRequest(queryRules, request)\n    })\n\n    const esRequests: SearchRequest[] = instantsearchRequests.map((request, i) => ({\n      body: transformRequest(\n        request,\n        this.config.search_settings,\n        requestQueryRuleActions[i],\n        requestOptions\n      ),\n      indexName: request.indexName\n    }))\n\n    const esResponses = await this.performSearch(esRequests)\n\n    const instantsearchResponses = esResponses.map((response, i) => {\n      // @ts-ignore\n      if (instantsearchRequests[i].params?.facetName) {\n        return transformFacetValuesResponse(response, instantsearchRequests[i])\n      }\n      return transformResponse(\n        response,\n        instantsearchRequests[i],\n        this.config.search_settings,\n        requestQueryRuleActions[i]\n      )\n    })\n\n    return {\n      results: instantsearchResponses\n    }\n  }\n}\n\nconst createClient = (config: ClientConfig, settings?: AppSettings) => new Client(config, settings)\n\nexport default createClient\n","import deepmerge from 'deepmerge'\nimport { QueryRuleActions } from './queryRules'\nimport { FacetAttribute, RequestOptions, SearchSettingsConfig } from './types'\nimport {\n  AlgoliaMultipleQueriesQuery,\n  ElasticsearchQuery,\n  ElasticsearchSearchRequest\n} from './types'\nimport { getFacet, getFacetAttribute } from './utils'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nconst transformNumericFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { numericFilters } = params\n\n  if (!Array.isArray(numericFilters)) {\n    return []\n  }\n\n  return numericFilters.reduce((sum, filter) => {\n    const [match, field, operator, value] = filter.match(\n      /([\\w\\.\\_\\-]+)(\\=|\\!\\=|\\>|\\>\\=|\\<|\\<\\=)(\\d+)/\n    )\n    const fieldConfig = getFacet(config.facet_attributes || [], field)\n\n    if (!match) return sum\n\n    const getFilter = (operator: string, value: string) => {\n      if (operator === '=') {\n        return {\n          term: {\n            [field]: value\n          }\n        }\n      } else if (operator === '!=') {\n        return {\n          bool: {\n            must_not: {\n              term: {\n                [field]: value\n              }\n            }\n          }\n        }\n      } else if (operator === '>') {\n        return {\n          range: {\n            [field]: {\n              gt: value\n            }\n          }\n        }\n      } else if (operator === '>=') {\n        return {\n          range: {\n            [field]: {\n              gte: value\n            }\n          }\n        }\n      } else if (operator === '<') {\n        return {\n          range: {\n            [field]: {\n              lt: value\n            }\n          }\n        }\n      } else if (operator === '<=') {\n        return {\n          range: {\n            [field]: {\n              lte: value\n            }\n          }\n        }\n      }\n    }\n\n    const esFilter = []\n\n    if (typeof fieldConfig !== 'string' && fieldConfig.nestedPath) {\n      esFilter.push({\n        nested: {\n          path: fieldConfig.nestedPath,\n          query: {\n            bool: {\n              filter: [getFilter(operator, value)]\n            }\n          }\n        }\n      })\n    } else {\n      esFilter.push(getFilter(operator, value))\n    }\n\n    return [...sum, ...esFilter]\n  }, [])\n}\n\nconst termFilter = (field: string, value: string) => {\n  return { term: { [field]: value } }\n}\n\nconst transformFacetFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { facetFilters } = params\n\n  if (!Array.isArray(facetFilters)) {\n    return []\n  }\n\n  return facetFilters.reduce((sum, filter) => {\n    if (Array.isArray(filter)) {\n      return [\n        ...sum,\n        {\n          bool: {\n            should: filter.reduce((sum, filter) => {\n              const [facet, value] = filter.split(':')\n              const facetAttribute = getFacetAttribute(facet)\n              const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n              const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n              if (\n                typeof facetConfig !== 'string' &&\n                isNestedFacet(facetConfig) &&\n                facetConfig.nestedPath\n              ) {\n                // detect if there is a nested filter in sum\n                // if one doesn't exist, add one\n                // if one does exist, add to it\n                const nestedFilter = sum.find((filter: any) => {\n                  return filter.nested && filter.nested.path === facetConfig.nestedPath\n                })\n\n                if (nestedFilter) {\n                  nestedFilter.nested.query.bool.should.push(\n                    termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                  )\n                  return sum\n                } else {\n                  return [\n                    ...sum,\n                    {\n                      nested: {\n                        path: facetConfig.nestedPath,\n                        query: {\n                          bool: {\n                            should: [\n                              termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                            ]\n                          }\n                        }\n                      }\n                    }\n                  ]\n                }\n              }\n              return [...sum, termFilter(field, value)]\n            }, [])\n          }\n        }\n      ]\n    } else if (typeof filter === 'string') {\n      const [facet, value] = filter.split(':')\n      const facetAttribute = getFacetAttribute(facet)\n      const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n      const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n      if (typeof facetConfig !== 'string' && isNestedFacet(facetConfig) && facetConfig.nestedPath) {\n        // detect if there is a nested filter in sum\n        // if one doesn't exist, add one\n        // if one does exist, add to it\n        const nestedFilter = sum.find((filter: any) => {\n          return filter.nested && filter.nested.path === facetConfig.nestedPath + '.'\n        })\n\n        if (nestedFilter) {\n          nestedFilter.nested.query.bool.should.push(\n            termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n          )\n          return sum\n        } else {\n          return [\n            ...sum,\n            {\n              nested: {\n                path: facetConfig.nestedPath,\n                query: {\n                  bool: {\n                    should: [termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)]\n                  }\n                }\n              }\n            }\n          ]\n        }\n      }\n      return [...sum, termFilter(field, value)]\n    }\n  }, [])\n}\n\nconst isNestedFacet = (facet: FacetAttribute): boolean => {\n  return typeof facet !== 'string' && !!facet.nestedPath\n}\n\nconst getTermAggregation = (facet: FacetAttribute, size: number, search: string) => {\n  const searchInclude = search && search.length > 0 ? { include: createRegexQuery(search) } : {}\n  let aggEntries = {}\n\n  const getInnerAggs = (facetName: string, field: string): any => {\n    if (typeof facet === 'string' || facet.type === 'string') {\n      aggEntries = {\n        [facetName]: {\n          terms: {\n            field: field,\n            size,\n            ...searchInclude\n          }\n        }\n      }\n    } else if (facet.type === 'numeric') {\n      aggEntries = {\n        [facetName + '$_stats']: {\n          stats: {\n            field: field\n          }\n        },\n        [facetName + '$_entries']: {\n          terms: {\n            field: field,\n            size: size\n          }\n        }\n      }\n    }\n    return aggEntries\n  }\n\n  if (typeof facet === 'string') {\n    return getInnerAggs(facet, facet)\n  } else if (isNestedFacet(facet)) {\n    return {\n      [`${facet.nestedPath}.`]: {\n        nested: {\n          path: facet.nestedPath\n        },\n        aggs: getInnerAggs(facet.attribute, `${facet.nestedPath}.${facet.field}`)\n      }\n    }\n  } else {\n    return getInnerAggs(facet.attribute, facet.field)\n  }\n}\n\nexport const getAggs = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) => {\n  const { params = {}, type } = request\n  // @ts-ignore\n  const { facets, maxValuesPerFacet, facetName, facetQuery } = params\n  const maxFacetSize = maxValuesPerFacet || 10\n  const facetAttributes = config.facet_attributes || []\n\n  if (facetName) {\n    return getTermAggregation(getFacet(facetAttributes, facetName), maxFacetSize, facetQuery)\n  } else if (Array.isArray(facets)) {\n    let facetAttibutes = config.facet_attributes || []\n\n    if (queryRuleActions.facetAttributesOrder) {\n      facetAttibutes = queryRuleActions.facetAttributesOrder.map((attribute) => {\n        return getFacet(config.facet_attributes || [], attribute)\n      })\n    }\n\n    const facetAttributes: FacetAttribute[] =\n      facets[0] === '*'\n        ? facetAttibutes\n        : facets.map((facetAttribute) => {\n            return getFacet(config.facet_attributes || [], facetAttribute)\n          })\n    return (\n      facetAttributes.reduce((sum, facet) => {\n        return deepmerge(sum, getTermAggregation(facet, maxFacetSize, ''))\n      }, {}) || {}\n    )\n  } else if (typeof facets === 'string') {\n    const field = getFacet(config.facet_attributes || [], facets)\n    return getTermAggregation(field, maxFacetSize, '')\n  }\n}\n\nexport function RelevanceQueryMatch(\n  query: string,\n  search_attributes: string[],\n  queryRuleActions: QueryRuleActions\n) {\n  if (queryRuleActions) {\n    return {\n      function_score: {\n        query: {\n          pinned: {\n            ids: queryRuleActions.pinnedDocs,\n            organic: {\n              combined_fields: {\n                query: queryRuleActions.query,\n                fields: search_attributes\n              }\n            }\n          }\n        },\n        functions: queryRuleActions.boostFunctions\n      }\n    }\n  }\n  return {\n    combined_fields: { query: query, fields: search_attributes }\n  }\n}\n\nconst getQuery = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n) => {\n  const { params = {} } = request\n  const { query } = params\n\n  const searchAttributes = config.search_attributes\n\n  const filters = [\n    ...transformFacetFilters(request, config),\n    ...transformNumericFilters(request, config),\n    ...(requestOptions?.getBaseFilters?.() || [])\n  ]\n\n  return {\n    bool: {\n      filter: filters,\n      must:\n        typeof query === 'string' && query !== ''\n          ? requestOptions?.getQuery\n            ? requestOptions.getQuery(query, searchAttributes, config)\n            : RelevanceQueryMatch(query, searchAttributes, queryRuleActions)\n          : []\n    }\n  }\n}\n\nconst getResultsSize = (request: AlgoliaMultipleQueriesQuery, config: SearchSettingsConfig) => {\n  const { params = {} } = request\n  const hitsPerPage = params.hitsPerPage || 20\n\n  return {\n    size: hitsPerPage,\n    from: (params.page || 0) * hitsPerPage\n  }\n}\n\nexport const getHitFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToRetrieve } = params\n  // ignoring attributesToRetrieve for now\n\n  return {\n    _source: {\n      includes: config.result_attributes\n    }\n  }\n}\n\nexport const getHighlightFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToHighlight } = params\n  // ignoring attributesToHighlight for now\n  return {\n    highlight: {\n      pre_tags: [params.highlightPreTag || '<ais-highlight-0000000000>'],\n      post_tags: [params.highlightPostTag || '</ais-highlight-0000000000>'],\n      fields:\n        config.highlight_attributes?.reduce(\n          (sum, field) => ({\n            ...sum,\n            [field]: {}\n          }),\n          {}\n        ) || {}\n    }\n  }\n}\n\nexport function transformRequest(\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n): ElasticsearchSearchRequest {\n  const body: ElasticsearchSearchRequest = {\n    aggs: getAggs(request, config, queryRuleActions),\n    query: getQuery(request, config, queryRuleActions, requestOptions),\n    ...getResultsSize(request, config),\n    ...getHitFields(request, config),\n    ...getHighlightFields(request, config)\n  }\n\n  return body\n}\n","import { FacetAttribute, FacetFieldConfig } from './types'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nexport const getFacet = (\n  facet_attributes: FacetAttribute[],\n  attributeName: string\n): FacetAttribute => {\n  const f = facet_attributes.find((a) => {\n    if (typeof a === 'string') {\n      return a === attributeName\n    }\n    return a.attribute === attributeName\n  })\n  return f || attributeName\n}\n\nexport const getFacetField = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.field || attributeKey\n  )\n}\n\nexport const getFacetByAttribute = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = getFacetAttribute(attribute)\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.attribute || attributeKey\n  )\n}\n\nexport const getFacetAttribute = (facetAttribute: FacetAttribute): string => {\n  return typeof facetAttribute === 'string' ? facetAttribute : facetAttribute.attribute\n}\n\nexport const getFacetFieldType = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): FacetFieldConfig['type'] => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return 'string'\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a?.attribute === attributeKey)?.type || 'string'\n  )\n}\n","import { stringify } from 'querystring'\nimport { SearchSettingsConfig } from './types'\nimport { getHighlightFields, highlightTerm } from './highlightUtils'\nimport { AlgoliaMultipleQueriesQuery, ElasticsearchResponseBody } from './types'\nimport { getFacetFieldType } from './utils'\nimport { QueryRuleActions } from './queryRules'\n\ntype FacetsList = Record<string, Record<string, number>>\ntype FacetsStats = Record<string, { min: number; max: number; avg: number; sum: number }>\n\nconst getHits = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  const { hits } = response\n\n  return hits.hits.map((hit) => ({\n    objectID: hit._id,\n    ...(hit._source || {}),\n    _highlightResult: getHighlightFields(hit)\n  }))\n}\n\nconst getFacets = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  if (!response?.aggregations) {\n    return {}\n  }\n\n  // flattening for nested facets\n  const aggregations = Object.keys(response.aggregations).reduce<Record<string, any>>(\n    (sum, key) => {\n      const value = (response.aggregations || {})[key] as any\n\n      if (key.endsWith('.')) {\n        const { doc_count, ...nestedAggregations } = value\n        return {\n          ...sum,\n          ...nestedAggregations\n        }\n      }\n\n      return {\n        ...sum,\n        [key]: value\n      }\n    },\n    {}\n  )\n\n  return Object.keys(aggregations).reduce<{\n    facets: FacetsList\n    facets_stats: FacetsStats\n  }>(\n    (sum, f) => {\n      const facet = f.split('$')[0]\n      const fieldType = getFacetFieldType(config.facet_attributes || [], facet)\n\n      if (fieldType === 'numeric') {\n        const facetValues = aggregations[facet + '$_stats'] as any\n        const { buckets } = aggregations[facet + '$_entries'] as {\n          buckets: any[]\n        }\n\n        return {\n          ...sum,\n          facets: {\n            ...sum.facets,\n            [facet]: buckets.reduce<Record<string, number>>(\n              (sum, bucket) => ({\n                ...sum,\n                [bucket.key]: bucket.doc_count\n              }),\n              {}\n            )\n          },\n          facets_stats: {\n            ...sum.facets_stats,\n            [facet]: {\n              min: facetValues.min,\n              avg: facetValues.avg,\n              max: facetValues.max,\n              sum: facetValues.sum\n            }\n          }\n        }\n      }\n\n      const { buckets } = aggregations[facet] as { buckets: any[] }\n\n      return {\n        ...sum,\n        facets: {\n          ...sum.facets,\n          [facet]: buckets.reduce<Record<string, number>>(\n            (sum, bucket) => ({\n              ...sum,\n              [bucket.key]: bucket.doc_count\n            }),\n            {}\n          )\n        }\n      }\n    },\n    {\n      facets: {},\n      facets_stats: {}\n    }\n  )\n}\n\nconst getRenderingContent = (config: SearchSettingsConfig, queryRuleActions: QueryRuleActions) => {\n  const defaultOrder = config.facet_attributes?.map((facet) =>\n    typeof facet === 'string' ? facet : facet.attribute\n  )\n\n  return {\n    renderingContent: {\n      facetOrdering: {\n        facets: {\n          order: queryRuleActions.facetAttributesOrder || defaultOrder || []\n        },\n        values: config.facet_attributes?.reduce<Record<string, { sortRemainingBy: 'count' }>>(\n          (sum, facet) => {\n            const facetName = typeof facet === 'string' ? facet : facet.attribute\n\n            // If request has explicit facet orders and the facet is not\n            // in the query rule actions, we don't want to sort it\n            if (\n              queryRuleActions.facetAttributesOrder &&\n              !queryRuleActions.facetAttributesOrder.includes(facetName)\n            ) {\n              return sum\n            }\n\n            return {\n              ...sum,\n              [facetName]: {\n                sortRemainingBy: 'count'\n              }\n            }\n          },\n          {}\n        )\n      }\n    }\n  }\n}\n\nconst getPageDetails = (\n  response: ElasticsearchResponseBody,\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { hitsPerPage = 20, page = 0, query = '' } = params\n\n  const { total } = response.hits\n  const totalHits = typeof total === 'number' ? total : total?.value\n  const nbPages = Math.ceil((typeof total === 'number' ? total : total?.value || 0) / hitsPerPage)\n\n  return {\n    hitsPerPage,\n    processingTimeMS: response.took,\n    nbHits: totalHits,\n    page: page,\n    nbPages,\n    query\n  }\n}\n\nexport default function transformResponse(\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) {\n  try {\n    return {\n      exhaustiveNbHits: true,\n      exhaustiveFacetsCount: true,\n      exhaustiveTypo: true,\n      exhaustive: { facetsCount: true, nbHits: true, typo: true },\n      ...getPageDetails(response, instantsearchRequest, config),\n      ...getRenderingContent(config, queryRuleActions),\n      ...getFacets(response, config),\n      hits: getHits(response, config),\n      index: instantsearchRequest.indexName,\n      params: stringify(instantsearchRequest.params as any),\n      ...(queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {})\n    }\n  } catch (e) {\n    throw new Error(`Error transforming Elasticsearch response for index`)\n  }\n}\n\nexport const transformFacetValuesResponse = (\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery\n) => {\n  const aggregations = response.aggregations || {}\n  return {\n    facetHits: (aggregations[Object.keys(aggregations)[0]] as any).buckets.map((entry: any) => ({\n      value: entry.key,\n      highlighted: highlightTerm(\n        entry.key,\n        // @ts-ignore\n        instantsearchRequest.params.facetQuery || ''\n      ),\n      count: entry.doc_count\n    })),\n    exhaustiveFacetsCount: true,\n    processingTimeMS: response.took\n  }\n}\n","import type { ElasticsearchHit } from './types'\n\nexport function highlightTerm(value: string, query: string): string {\n  const regex = new RegExp(query, 'gi')\n  return value.replace(\n    regex,\n    (match) => `<ais-highlight-0000000000>${match}</ais-highlight-0000000000>`\n  )\n}\n\nexport function getHighlightFields(hit: ElasticsearchHit) {\n  const { _source = {}, highlight = {} } = hit\n\n  const hitHighlights = Object.keys(_source).reduce<Record<string, any>>((sum, fieldKey) => {\n    const fieldValue: any = _source[fieldKey]\n    const highlightedMatch = highlight[fieldKey] || null\n\n    if (Array.isArray(fieldValue) && !highlightedMatch) {\n      return {\n        ...sum,\n        [fieldKey]: fieldValue.map((value) => ({\n          matchLevel: 'none',\n          matchedWords: [],\n          value: value\n        }))\n      }\n    } else if (Array.isArray(highlightedMatch)) {\n      // TODO: needs to return all non matches values too\n      return {\n        ...sum,\n        [fieldKey]: highlightedMatch.map((highlightedMatch) => {\n          const matchWords = Array.from(\n            highlightedMatch.matchAll(\n              /\\<ais-highlight-0000000000\\>(.*?)\\<\\/ais-highlight-0000000000\\>/g\n            )\n          ).map((match) => match[1])\n          return {\n            fullyHighlighted: false,\n            matchLevel: 'full',\n            matchedWords: matchWords,\n            value: highlightedMatch\n          }\n        })\n      }\n    }\n\n    return {\n      ...sum,\n      [fieldKey]: {\n        matchLevel: 'none',\n        matchedWords: [],\n        value: fieldValue\n      }\n    }\n  }, {})\n\n  return hitHighlights\n}\n","import { ClientConfigConnection, SearchRequest } from './types'\nimport { ElasticsearchResponseBody, Transporter } from './types'\n\nexport class ESTransporter implements Transporter {\n  constructor(public config: ClientConfigConnection) {}\n\n  async msearch(requests: SearchRequest[]): Promise<ElasticsearchResponseBody[]> {\n    // @ts-ignore\n    try {\n      const response = await fetch(`${this.config.host}/_msearch`, {\n        headers: {\n          ...(this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {}),\n          'content-type': 'application/json'\n        },\n        body: requests\n          .reduce<string[]>(\n            (sum, request) => [\n              ...sum,\n              JSON.stringify({ index: request.indexName }),\n              '\\n',\n              JSON.stringify(request.body),\n              '\\n'\n            ],\n            []\n          )\n          .join(''),\n        method: 'POST'\n      })\n\n      const responses = await response.json()\n\n      if (responses.status >= 500) {\n        throw new Error(\n          'Elasticsearch Internal Error: Check your elasticsearch instance to make sure it can recieve requests.'\n        )\n      } else if (responses.status === 401) {\n        throw new Error(\n          'Cannot connect to Elasticsearch. Check your connection host and API Key. You can also provide a custom Elasticsearch transporter to the API Client. See docs for more information.'\n        )\n      } else if (responses.responses?.[0]?.status === 403) {\n        throw new Error(\n          'Auth Error: You do not have permission to access this index. Check you are calling the right index (specified in frontend) and your API Key permissions has access to the index.'\n        )\n      } else if (responses.status === 404 || responses.responses?.[0]?.status === 404) {\n        throw new Error(\n          'Elasticsearch index not found. Check your index name and make sure it exists.'\n        )\n      } else if (responses.status === 400) {\n        throw new Error(\n          'Elasticsearch Bad Request. Check your query and make sure it is valid. Turn on debug mode to see the Elasticsearch query.'\n        )\n      }\n      return responses.responses\n    } catch (error) {\n      throw error\n    }\n  }\n}\n","import { AlgoliaMultipleQueriesQuery, QueryRule, SearchSettingsConfig } from './types'\n\nexport interface QueryContext {\n  query: string\n}\n\nexport interface QueryRuleActions {\n  pinnedDocs: string[]\n  boostFunctions: any[]\n  query: string\n  userData: unknown[]\n  facetAttributesOrder: string[] | undefined\n}\n\nexport const getQueryRulesActionsFromRequest = (\n  queryRules: QueryRule[],\n  request: AlgoliaMultipleQueriesQuery\n) => {\n  const queryContext: QueryContext = {\n    query: request.params?.query || ''\n  }\n\n  const satisfiedRules = getSatisfiedRules(queryContext, queryRules || [])\n\n  const actions = satisfiedRules.reduce<QueryRuleActions>(\n    (sum, rule) => {\n      rule.actions.map((action) => {\n        if (action.action === 'PinnedResult') {\n          sum.pinnedDocs.push(...action.documentIds)\n        } else if (action.action === 'QueryRewrite') {\n          sum.query = action.query\n        } else if (action.action === 'QueryAttributeBoost') {\n          sum.boostFunctions.push({\n            filter: {\n              match: { [action.attribute]: { query: action.value } }\n            },\n            weight: action.boost\n          })\n        } else if (action.action === 'RenderUserData') {\n          sum.userData.push(JSON.parse(action.userData))\n        } else if (action.action === 'RenderFacetsOrder') {\n          sum.facetAttributesOrder = action.facetAttributesOrder\n        }\n      })\n      return sum\n    },\n    {\n      pinnedDocs: [],\n      boostFunctions: [],\n      query: queryContext.query,\n      userData: [],\n      facetAttributesOrder: undefined\n    }\n  )\n  return actions\n}\n\nexport const getSatisfiedRules = (queryContext: QueryContext, rules: QueryRule[]) =>\n  rules.filter(\n    (rule) =>\n      rule.conditions.filter((condition) => {\n        if (condition.context === 'query' && condition.match_type === 'exact') {\n          return condition.value === queryContext.query\n        }\n        if (condition.context === 'query' && condition.match_type === 'contains') {\n          return queryContext.query.includes(condition.value)\n        }\n        if (condition.context === 'query' && condition.match_type === 'prefix') {\n          return queryContext.query.startsWith(condition.value)\n        }\n\n        return false\n      }).length > 0\n  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dist/index.mjs

@@ -551,15 +551,19 @@ // src/transformRequest.ts
 function transformResponse(response, instantsearchRequest, config, queryRuleActions) {
-  return {
-    exhaustiveNbHits: true,
-    exhaustiveFacetsCount: true,
-    exhaustiveTypo: true,
-    exhaustive: { facetsCount: true, nbHits: true, typo: true },
-    ...getPageDetails(response, instantsearchRequest, config),
-    ...getRenderingContent(config, queryRuleActions),
-    ...getFacets(response, config),
-    hits: getHits(response, config),
-    index: instantsearchRequest.indexName,
-    params: stringify(instantsearchRequest.params),
-    ...queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {}
-  };
+  try {
+    return {
+      exhaustiveNbHits: true,
+      exhaustiveFacetsCount: true,
+      exhaustiveTypo: true,
+      exhaustive: { facetsCount: true, nbHits: true, typo: true },
+      ...getPageDetails(response, instantsearchRequest, config),
+      ...getRenderingContent(config, queryRuleActions),
+      ...getFacets(response, config),
+      hits: getHits(response, config),
+      index: instantsearchRequest.indexName,
+      params: stringify(instantsearchRequest.params),
+      ...queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {}
+    };
+  } catch (e) {
+    throw new Error(`Error transforming Elasticsearch response for index`);
+  }
 }
@@ -588,21 +592,47 @@ var transformFacetValuesResponse = (response, instantsearchRequest) => {
   async msearch(requests) {
-    const response = await fetch(`${this.config.host}/_msearch`, {
-      headers: {
-        ...this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {},
-        "content-type": "application/json"
-      },
-      body: requests.reduce(
-        (sum, request) => [
-          ...sum,
-          JSON.stringify({ index: request.indexName }),
-          "\n",
-          JSON.stringify(request.body),
-          "\n"
-        ],
-        []
-      ).join(""),
-      method: "POST"
-    });
-    const responses = await response.json();
-    return responses.responses;
+    var _a, _b, _c, _d;
+    try {
+      const response = await fetch(`${this.config.host}/_msearch`, {
+        headers: {
+          ...this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {},
+          "content-type": "application/json"
+        },
+        body: requests.reduce(
+          (sum, request) => [
+            ...sum,
+            JSON.stringify({ index: request.indexName }),
+            "\n",
+            JSON.stringify(request.body),
+            "\n"
+          ],
+          []
+        ).join(""),
+        method: "POST"
+      });
+      const responses = await response.json();
+      if (responses.status >= 500) {
+        throw new Error(
+          "Elasticsearch Internal Error: Check your elasticsearch instance to make sure it can recieve requests."
+        );
+      } else if (responses.status === 401) {
+        throw new Error(
+          "Cannot connect to Elasticsearch. Check your connection host and API Key. You can also provide a custom Elasticsearch transporter to the API Client. See docs for more information."
+        );
+      } else if (((_b = (_a = responses.responses) == null ? void 0 : _a[0]) == null ? void 0 : _b.status) === 403) {
+        throw new Error(
+          "Auth Error: You do not have permission to access this index. Check you are calling the right index (specified in frontend) and your API Key permissions has access to the index."
+        );
+      } else if (responses.status === 404 || ((_d = (_c = responses.responses) == null ? void 0 : _c[0]) == null ? void 0 : _d.status) === 404) {
+        throw new Error(
+          "Elasticsearch index not found. Check your index name and make sure it exists."
+        );
+      } else if (responses.status === 400) {
+        throw new Error(
+          "Elasticsearch Bad Request. Check your query and make sure it is valid. Turn on debug mode to see the Elasticsearch query."
+        );
+      }
+      return responses.responses;
+    } catch (error) {
+      throw error;
+    }
   }
@@ -667,7 +697,12 @@ };
 var Client = class {
-  constructor(config) {
+  constructor(config, settings = { debug: false }) {
     this.config = config;
+    this.settings = settings;
     this.transporter = "msearch" in config.connection ? config.connection : new ESTransporter(config.connection);
   }
   async performSearch(requests) {
+    if (this.settings.debug) {
+      console.log("Performing search with requests:");
+      console.log(JSON.stringify(requests, null, 2));
+    }
     const responses = await this.transporter.msearch(requests);
@@ -716,3 +751,3 @@ return responses;
 };
-var createClient = (config) => new Client(config);
+var createClient = (config, settings) => new Client(config, settings);
 var src_default = createClient;
@@ -719,0 +754,0 @@ export {

dist/index.mjs.map

@@ -1,1 +0,1 @@
-{"version":3,"sources":["../src/transformRequest.ts","../src/utils.ts","../src/transformResponse.ts","../src/highlightUtils.ts","../src/Transporter.ts","../src/queryRules.ts","../src/index.ts"],"sourcesContent":["import deepmerge from 'deepmerge'\nimport { QueryRuleActions } from './queryRules'\nimport { FacetAttribute, RequestOptions, SearchSettingsConfig } from './types'\nimport {\n  AlgoliaMultipleQueriesQuery,\n  ElasticsearchQuery,\n  ElasticsearchSearchRequest\n} from './types'\nimport { getFacet, getFacetAttribute } from './utils'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nconst transformNumericFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { numericFilters } = params\n\n  if (!Array.isArray(numericFilters)) {\n    return []\n  }\n\n  return numericFilters.reduce((sum, filter) => {\n    const [match, field, operator, value] = filter.match(\n      /([\\w\\.\\_\\-]+)(\\=|\\!\\=|\\>|\\>\\=|\\<|\\<\\=)(\\d+)/\n    )\n    const fieldConfig = getFacet(config.facet_attributes || [], field)\n\n    if (!match) return sum\n\n    const getFilter = (operator: string, value: string) => {\n      if (operator === '=') {\n        return {\n          term: {\n            [field]: value\n          }\n        }\n      } else if (operator === '!=') {\n        return {\n          bool: {\n            must_not: {\n              term: {\n                [field]: value\n              }\n            }\n          }\n        }\n      } else if (operator === '>') {\n        return {\n          range: {\n            [field]: {\n              gt: value\n            }\n          }\n        }\n      } else if (operator === '>=') {\n        return {\n          range: {\n            [field]: {\n              gte: value\n            }\n          }\n        }\n      } else if (operator === '<') {\n        return {\n          range: {\n            [field]: {\n              lt: value\n            }\n          }\n        }\n      } else if (operator === '<=') {\n        return {\n          range: {\n            [field]: {\n              lte: value\n            }\n          }\n        }\n      }\n    }\n\n    const esFilter = []\n\n    if (typeof fieldConfig !== 'string' && fieldConfig.nestedPath) {\n      esFilter.push({\n        nested: {\n          path: fieldConfig.nestedPath,\n          query: {\n            bool: {\n              filter: [getFilter(operator, value)]\n            }\n          }\n        }\n      })\n    } else {\n      esFilter.push(getFilter(operator, value))\n    }\n\n    return [...sum, ...esFilter]\n  }, [])\n}\n\nconst termFilter = (field: string, value: string) => {\n  return { term: { [field]: value } }\n}\n\nconst transformFacetFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { facetFilters } = params\n\n  if (!Array.isArray(facetFilters)) {\n    return []\n  }\n\n  return facetFilters.reduce((sum, filter) => {\n    if (Array.isArray(filter)) {\n      return [\n        ...sum,\n        {\n          bool: {\n            should: filter.reduce((sum, filter) => {\n              const [facet, value] = filter.split(':')\n              const facetAttribute = getFacetAttribute(facet)\n              const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n              const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n              if (\n                typeof facetConfig !== 'string' &&\n                isNestedFacet(facetConfig) &&\n                facetConfig.nestedPath\n              ) {\n                // detect if there is a nested filter in sum\n                // if one doesn't exist, add one\n                // if one does exist, add to it\n                const nestedFilter = sum.find((filter: any) => {\n                  return filter.nested && filter.nested.path === facetConfig.nestedPath\n                })\n\n                if (nestedFilter) {\n                  nestedFilter.nested.query.bool.should.push(\n                    termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                  )\n                  return sum\n                } else {\n                  return [\n                    ...sum,\n                    {\n                      nested: {\n                        path: facetConfig.nestedPath,\n                        query: {\n                          bool: {\n                            should: [\n                              termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                            ]\n                          }\n                        }\n                      }\n                    }\n                  ]\n                }\n              }\n              return [...sum, termFilter(field, value)]\n            }, [])\n          }\n        }\n      ]\n    } else if (typeof filter === 'string') {\n      const [facet, value] = filter.split(':')\n      const facetAttribute = getFacetAttribute(facet)\n      const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n      const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n      if (typeof facetConfig !== 'string' && isNestedFacet(facetConfig) && facetConfig.nestedPath) {\n        // detect if there is a nested filter in sum\n        // if one doesn't exist, add one\n        // if one does exist, add to it\n        const nestedFilter = sum.find((filter: any) => {\n          return filter.nested && filter.nested.path === facetConfig.nestedPath + '.'\n        })\n\n        if (nestedFilter) {\n          nestedFilter.nested.query.bool.should.push(\n            termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n          )\n          return sum\n        } else {\n          return [\n            ...sum,\n            {\n              nested: {\n                path: facetConfig.nestedPath,\n                query: {\n                  bool: {\n                    should: [termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)]\n                  }\n                }\n              }\n            }\n          ]\n        }\n      }\n      return [...sum, termFilter(field, value)]\n    }\n  }, [])\n}\n\nconst isNestedFacet = (facet: FacetAttribute): boolean => {\n  return typeof facet !== 'string' && !!facet.nestedPath\n}\n\nconst getTermAggregation = (facet: FacetAttribute, size: number, search: string) => {\n  const searchInclude = search && search.length > 0 ? { include: createRegexQuery(search) } : {}\n  let aggEntries = {}\n\n  const getInnerAggs = (facetName: string, field: string): any => {\n    if (typeof facet === 'string' || facet.type === 'string') {\n      aggEntries = {\n        [facetName]: {\n          terms: {\n            field: field,\n            size,\n            ...searchInclude\n          }\n        }\n      }\n    } else if (facet.type === 'numeric') {\n      aggEntries = {\n        [facetName + '$_stats']: {\n          stats: {\n            field: field\n          }\n        },\n        [facetName + '$_entries']: {\n          terms: {\n            field: field,\n            size: size\n          }\n        }\n      }\n    }\n    return aggEntries\n  }\n\n  if (typeof facet === 'string') {\n    return getInnerAggs(facet, facet)\n  } else if (isNestedFacet(facet)) {\n    return {\n      [`${facet.nestedPath}.`]: {\n        nested: {\n          path: facet.nestedPath\n        },\n        aggs: getInnerAggs(facet.attribute, `${facet.nestedPath}.${facet.field}`)\n      }\n    }\n  } else {\n    return getInnerAggs(facet.attribute, facet.field)\n  }\n}\n\nexport const getAggs = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) => {\n  const { params = {}, type } = request\n  // @ts-ignore\n  const { facets, maxValuesPerFacet, facetName, facetQuery } = params\n  const maxFacetSize = maxValuesPerFacet || 10\n  const facetAttributes = config.facet_attributes || []\n\n  if (facetName) {\n    return getTermAggregation(getFacet(facetAttributes, facetName), maxFacetSize, facetQuery)\n  } else if (Array.isArray(facets)) {\n    let facetAttibutes = config.facet_attributes || []\n\n    if (queryRuleActions.facetAttributesOrder) {\n      facetAttibutes = queryRuleActions.facetAttributesOrder.map((attribute) => {\n        return getFacet(config.facet_attributes || [], attribute)\n      })\n    }\n\n    const facetAttributes: FacetAttribute[] =\n      facets[0] === '*'\n        ? facetAttibutes\n        : facets.map((facetAttribute) => {\n            return getFacet(config.facet_attributes || [], facetAttribute)\n          })\n    return (\n      facetAttributes.reduce((sum, facet) => {\n        return deepmerge(sum, getTermAggregation(facet, maxFacetSize, ''))\n      }, {}) || {}\n    )\n  } else if (typeof facets === 'string') {\n    const field = getFacet(config.facet_attributes || [], facets)\n    return getTermAggregation(field, maxFacetSize, '')\n  }\n}\n\nexport function RelevanceQueryMatch(\n  query: string,\n  search_attributes: string[],\n  queryRuleActions: QueryRuleActions\n) {\n  if (queryRuleActions) {\n    return {\n      function_score: {\n        query: {\n          pinned: {\n            ids: queryRuleActions.pinnedDocs,\n            organic: {\n              combined_fields: {\n                query: queryRuleActions.query,\n                fields: search_attributes\n              }\n            }\n          }\n        },\n        functions: queryRuleActions.boostFunctions\n      }\n    }\n  }\n  return {\n    combined_fields: { query: query, fields: search_attributes }\n  }\n}\n\nconst getQuery = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n) => {\n  const { params = {} } = request\n  const { query } = params\n\n  const searchAttributes = config.search_attributes\n\n  const filters = [\n    ...transformFacetFilters(request, config),\n    ...transformNumericFilters(request, config),\n    ...(requestOptions?.getBaseFilters?.() || [])\n  ]\n\n  return {\n    bool: {\n      filter: filters,\n      must:\n        typeof query === 'string' && query !== ''\n          ? requestOptions?.getQuery\n            ? requestOptions.getQuery(query, searchAttributes, config)\n            : RelevanceQueryMatch(query, searchAttributes, queryRuleActions)\n          : []\n    }\n  }\n}\n\nconst getResultsSize = (request: AlgoliaMultipleQueriesQuery, config: SearchSettingsConfig) => {\n  const { params = {} } = request\n  const hitsPerPage = params.hitsPerPage || 20\n\n  return {\n    size: hitsPerPage,\n    from: (params.page || 0) * hitsPerPage\n  }\n}\n\nexport const getHitFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToRetrieve } = params\n  // ignoring attributesToRetrieve for now\n\n  return {\n    _source: {\n      includes: config.result_attributes\n    }\n  }\n}\n\nexport const getHighlightFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToHighlight } = params\n  // ignoring attributesToHighlight for now\n  return {\n    highlight: {\n      pre_tags: [params.highlightPreTag || '<ais-highlight-0000000000>'],\n      post_tags: [params.highlightPostTag || '</ais-highlight-0000000000>'],\n      fields:\n        config.highlight_attributes?.reduce(\n          (sum, field) => ({\n            ...sum,\n            [field]: {}\n          }),\n          {}\n        ) || {}\n    }\n  }\n}\n\nexport function transformRequest(\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n): ElasticsearchSearchRequest {\n  const body: ElasticsearchSearchRequest = {\n    aggs: getAggs(request, config, queryRuleActions),\n    query: getQuery(request, config, queryRuleActions, requestOptions),\n    ...getResultsSize(request, config),\n    ...getHitFields(request, config),\n    ...getHighlightFields(request, config)\n  }\n\n  return body\n}\n","import { FacetAttribute, FacetFieldConfig } from './types'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nexport const getFacet = (\n  facet_attributes: FacetAttribute[],\n  attributeName: string\n): FacetAttribute => {\n  const f = facet_attributes.find((a) => {\n    if (typeof a === 'string') {\n      return a === attributeName\n    }\n    return a.attribute === attributeName\n  })\n  return f || attributeName\n}\n\nexport const getFacetField = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.field || attributeKey\n  )\n}\n\nexport const getFacetByAttribute = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = getFacetAttribute(attribute)\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.attribute || attributeKey\n  )\n}\n\nexport const getFacetAttribute = (facetAttribute: FacetAttribute): string => {\n  return typeof facetAttribute === 'string' ? facetAttribute : facetAttribute.attribute\n}\n\nexport const getFacetFieldType = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): FacetFieldConfig['type'] => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return 'string'\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a?.attribute === attributeKey)?.type || 'string'\n  )\n}\n","import { stringify } from 'querystring'\nimport { SearchSettingsConfig } from './types'\nimport { getHighlightFields, highlightTerm } from './highlightUtils'\nimport { AlgoliaMultipleQueriesQuery, ElasticsearchResponseBody } from './types'\nimport { getFacetFieldType } from './utils'\nimport { QueryRuleActions } from './queryRules'\n\ntype FacetsList = Record<string, Record<string, number>>\ntype FacetsStats = Record<string, { min: number; max: number; avg: number; sum: number }>\n\nconst getHits = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  const { hits } = response\n\n  return hits.hits.map((hit) => ({\n    objectID: hit._id,\n    ...(hit._source || {}),\n    _highlightResult: getHighlightFields(hit)\n  }))\n}\n\nconst getFacets = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  if (!response?.aggregations) {\n    return {}\n  }\n\n  // flattening for nested facets\n  const aggregations = Object.keys(response.aggregations).reduce<Record<string, any>>(\n    (sum, key) => {\n      const value = (response.aggregations || {})[key] as any\n\n      if (key.endsWith('.')) {\n        const { doc_count, ...nestedAggregations } = value\n        return {\n          ...sum,\n          ...nestedAggregations\n        }\n      }\n\n      return {\n        ...sum,\n        [key]: value\n      }\n    },\n    {}\n  )\n\n  return Object.keys(aggregations).reduce<{\n    facets: FacetsList\n    facets_stats: FacetsStats\n  }>(\n    (sum, f) => {\n      const facet = f.split('$')[0]\n      const fieldType = getFacetFieldType(config.facet_attributes || [], facet)\n\n      if (fieldType === 'numeric') {\n        const facetValues = aggregations[facet + '$_stats'] as any\n        const { buckets } = aggregations[facet + '$_entries'] as {\n          buckets: any[]\n        }\n\n        return {\n          ...sum,\n          facets: {\n            ...sum.facets,\n            [facet]: buckets.reduce<Record<string, number>>(\n              (sum, bucket) => ({\n                ...sum,\n                [bucket.key]: bucket.doc_count\n              }),\n              {}\n            )\n          },\n          facets_stats: {\n            ...sum.facets_stats,\n            [facet]: {\n              min: facetValues.min,\n              avg: facetValues.avg,\n              max: facetValues.max,\n              sum: facetValues.sum\n            }\n          }\n        }\n      }\n\n      const { buckets } = aggregations[facet] as { buckets: any[] }\n\n      return {\n        ...sum,\n        facets: {\n          ...sum.facets,\n          [facet]: buckets.reduce<Record<string, number>>(\n            (sum, bucket) => ({\n              ...sum,\n              [bucket.key]: bucket.doc_count\n            }),\n            {}\n          )\n        }\n      }\n    },\n    {\n      facets: {},\n      facets_stats: {}\n    }\n  )\n}\n\nconst getRenderingContent = (config: SearchSettingsConfig, queryRuleActions: QueryRuleActions) => {\n  const defaultOrder = config.facet_attributes?.map((facet) =>\n    typeof facet === 'string' ? facet : facet.attribute\n  )\n\n  return {\n    renderingContent: {\n      facetOrdering: {\n        facets: {\n          order: queryRuleActions.facetAttributesOrder || defaultOrder || []\n        },\n        values: config.facet_attributes?.reduce<Record<string, { sortRemainingBy: 'count' }>>(\n          (sum, facet) => {\n            const facetName = typeof facet === 'string' ? facet : facet.attribute\n\n            // If request has explicit facet orders and the facet is not\n            // in the query rule actions, we don't want to sort it\n            if (\n              queryRuleActions.facetAttributesOrder &&\n              !queryRuleActions.facetAttributesOrder.includes(facetName)\n            ) {\n              return sum\n            }\n\n            return {\n              ...sum,\n              [facetName]: {\n                sortRemainingBy: 'count'\n              }\n            }\n          },\n          {}\n        )\n      }\n    }\n  }\n}\n\nconst getPageDetails = (\n  response: ElasticsearchResponseBody,\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { hitsPerPage = 20, page = 0, query = '' } = params\n\n  const { total } = response.hits\n  const totalHits = typeof total === 'number' ? total : total?.value\n  const nbPages = Math.ceil((typeof total === 'number' ? total : total?.value || 0) / hitsPerPage)\n\n  return {\n    hitsPerPage,\n    processingTimeMS: response.took,\n    nbHits: totalHits,\n    page: page,\n    nbPages,\n    query\n  }\n}\n\nexport default function transformResponse(\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) {\n  return {\n    exhaustiveNbHits: true,\n    exhaustiveFacetsCount: true,\n    exhaustiveTypo: true,\n    exhaustive: { facetsCount: true, nbHits: true, typo: true },\n    ...getPageDetails(response, instantsearchRequest, config),\n    ...getRenderingContent(config, queryRuleActions),\n    ...getFacets(response, config),\n    hits: getHits(response, config),\n    index: instantsearchRequest.indexName,\n    params: stringify(instantsearchRequest.params as any),\n    ...(queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {})\n  }\n}\n\nexport const transformFacetValuesResponse = (\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery\n) => {\n  const aggregations = response.aggregations || {}\n  return {\n    facetHits: (aggregations[Object.keys(aggregations)[0]] as any).buckets.map((entry: any) => ({\n      value: entry.key,\n      highlighted: highlightTerm(\n        entry.key,\n        // @ts-ignore\n        instantsearchRequest.params.facetQuery || ''\n      ),\n      count: entry.doc_count\n    })),\n    exhaustiveFacetsCount: true,\n    processingTimeMS: response.took\n  }\n}\n","import type { ElasticsearchHit } from './types'\n\nexport function highlightTerm(value: string, query: string): string {\n  const regex = new RegExp(query, 'gi')\n  return value.replace(\n    regex,\n    (match) => `<ais-highlight-0000000000>${match}</ais-highlight-0000000000>`\n  )\n}\n\nexport function getHighlightFields(hit: ElasticsearchHit) {\n  const { _source = {}, highlight = {} } = hit\n\n  const hitHighlights = Object.keys(_source).reduce<Record<string, any>>((sum, fieldKey) => {\n    const fieldValue: any = _source[fieldKey]\n    const highlightedMatch = highlight[fieldKey] || null\n\n    if (Array.isArray(fieldValue) && !highlightedMatch) {\n      return {\n        ...sum,\n        [fieldKey]: fieldValue.map((value) => ({\n          matchLevel: 'none',\n          matchedWords: [],\n          value: value\n        }))\n      }\n    } else if (Array.isArray(highlightedMatch)) {\n      // TODO: needs to return all non matches values too\n      return {\n        ...sum,\n        [fieldKey]: highlightedMatch.map((highlightedMatch) => {\n          const matchWords = Array.from(\n            highlightedMatch.matchAll(\n              /\\<ais-highlight-0000000000\\>(.*?)\\<\\/ais-highlight-0000000000\\>/g\n            )\n          ).map((match) => match[1])\n          return {\n            fullyHighlighted: false,\n            matchLevel: 'full',\n            matchedWords: matchWords,\n            value: highlightedMatch\n          }\n        })\n      }\n    }\n\n    return {\n      ...sum,\n      [fieldKey]: {\n        matchLevel: 'none',\n        matchedWords: [],\n        value: fieldValue\n      }\n    }\n  }, {})\n\n  return hitHighlights\n}\n","import { ClientConfigConnection, SearchRequest } from './types'\nimport { ElasticsearchResponseBody, Transporter } from './types'\n\nexport class ESTransporter implements Transporter {\n  constructor(public config: ClientConfigConnection) {}\n\n  async msearch(requests: SearchRequest[]): Promise<ElasticsearchResponseBody[]> {\n    // @ts-ignore\n    const response = await fetch(`${this.config.host}/_msearch`, {\n      headers: {\n        ...(this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {}),\n        'content-type': 'application/json'\n      },\n      body: requests\n        .reduce<string[]>(\n          (sum, request) => [\n            ...sum,\n            JSON.stringify({ index: request.indexName }),\n            '\\n',\n            JSON.stringify(request.body),\n            '\\n'\n          ],\n          []\n        )\n        .join(''),\n      method: 'POST'\n    })\n\n    const responses = await response.json()\n    return responses.responses\n  }\n}\n","import { AlgoliaMultipleQueriesQuery, QueryRule, SearchSettingsConfig } from './types'\n\nexport interface QueryContext {\n  query: string\n}\n\nexport interface QueryRuleActions {\n  pinnedDocs: string[]\n  boostFunctions: any[]\n  query: string\n  userData: unknown[]\n  facetAttributesOrder: string[] | undefined\n}\n\nexport const getQueryRulesActionsFromRequest = (\n  queryRules: QueryRule[],\n  request: AlgoliaMultipleQueriesQuery\n) => {\n  const queryContext: QueryContext = {\n    query: request.params?.query || ''\n  }\n\n  const satisfiedRules = getSatisfiedRules(queryContext, queryRules || [])\n\n  const actions = satisfiedRules.reduce<QueryRuleActions>(\n    (sum, rule) => {\n      rule.actions.map((action) => {\n        if (action.action === 'PinnedResult') {\n          sum.pinnedDocs.push(...action.documentIds)\n        } else if (action.action === 'QueryRewrite') {\n          sum.query = action.query\n        } else if (action.action === 'QueryAttributeBoost') {\n          sum.boostFunctions.push({\n            filter: {\n              match: { [action.attribute]: { query: action.value } }\n            },\n            weight: action.boost\n          })\n        } else if (action.action === 'RenderUserData') {\n          sum.userData.push(JSON.parse(action.userData))\n        } else if (action.action === 'RenderFacetsOrder') {\n          sum.facetAttributesOrder = action.facetAttributesOrder\n        }\n      })\n      return sum\n    },\n    {\n      pinnedDocs: [],\n      boostFunctions: [],\n      query: queryContext.query,\n      userData: [],\n      facetAttributesOrder: undefined\n    }\n  )\n  return actions\n}\n\nexport const getSatisfiedRules = (queryContext: QueryContext, rules: QueryRule[]) =>\n  rules.filter(\n    (rule) =>\n      rule.conditions.filter((condition) => {\n        if (condition.context === 'query' && condition.match_type === 'exact') {\n          return condition.value === queryContext.query\n        }\n        if (condition.context === 'query' && condition.match_type === 'contains') {\n          return queryContext.query.includes(condition.value)\n        }\n        if (condition.context === 'query' && condition.match_type === 'prefix') {\n          return queryContext.query.startsWith(condition.value)\n        }\n\n        return false\n      }).length > 0\n  )\n","import type { MultipleQueriesQuery as AlgoliaMultipleQueriesQuery } from '@algolia/client-search'\nimport { transformRequest } from './transformRequest'\nimport transformResponse, { transformFacetValuesResponse } from './transformResponse'\nimport { ClientConfig, SearchRequest, RequestOptions, Transporter, QueryRuleAction } from './types'\nimport { ESTransporter } from './Transporter'\nimport { getQueryRulesActionsFromRequest, QueryRuleActions } from './queryRules'\nexport * from './types'\n\nclass Client {\n  transporter: Transporter\n\n  constructor(private config: ClientConfig) {\n    this.transporter =\n      'msearch' in config.connection ? config.connection : new ESTransporter(config.connection)\n  }\n\n  private async performSearch(requests: SearchRequest[]) {\n    const responses = await this.transporter.msearch(requests)\n    return responses\n  }\n\n  async handleRequest(body: any, requestOptions?: RequestOptions) {\n    const instantsearchRequests = body as AlgoliaMultipleQueriesQuery[]\n\n    const instantsearchResponses = this.handleInstantSearchRequests(\n      instantsearchRequests,\n      requestOptions\n    )\n\n    return instantsearchResponses\n  }\n\n  async handleInstantSearchRequests(\n    instantsearchRequests: AlgoliaMultipleQueriesQuery[],\n    requestOptions?: RequestOptions\n  ) {\n    const queryRules = this.config.search_settings.query_rules || []\n\n    const requestQueryRuleActions: QueryRuleActions[] = instantsearchRequests.map((request) => {\n      return getQueryRulesActionsFromRequest(queryRules, request)\n    })\n\n    const esRequests: SearchRequest[] = instantsearchRequests.map((request, i) => ({\n      body: transformRequest(\n        request,\n        this.config.search_settings,\n        requestQueryRuleActions[i],\n        requestOptions\n      ),\n      indexName: request.indexName\n    }))\n\n    const esResponses = await this.performSearch(esRequests)\n\n    const instantsearchResponses = esResponses.map((response, i) => {\n      // @ts-ignore\n      if (instantsearchRequests[i].params?.facetName) {\n        return transformFacetValuesResponse(response, instantsearchRequests[i])\n      }\n      return transformResponse(\n        response,\n        instantsearchRequests[i],\n        this.config.search_settings,\n        requestQueryRuleActions[i]\n      )\n    })\n\n    return {\n      results: instantsearchResponses\n    }\n  }\n}\n\nconst createClient = (config: ClientConfig) => new Client(config)\n\nexport default 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+{"version":3,"sources":["../src/transformRequest.ts","../src/utils.ts","../src/transformResponse.ts","../src/highlightUtils.ts","../src/Transporter.ts","../src/queryRules.ts","../src/index.ts"],"sourcesContent":["import deepmerge from 'deepmerge'\nimport { QueryRuleActions } from './queryRules'\nimport { FacetAttribute, RequestOptions, SearchSettingsConfig } from './types'\nimport {\n  AlgoliaMultipleQueriesQuery,\n  ElasticsearchQuery,\n  ElasticsearchSearchRequest\n} from './types'\nimport { getFacet, getFacetAttribute } from './utils'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nconst transformNumericFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { numericFilters } = params\n\n  if (!Array.isArray(numericFilters)) {\n    return []\n  }\n\n  return numericFilters.reduce((sum, filter) => {\n    const [match, field, operator, value] = filter.match(\n      /([\\w\\.\\_\\-]+)(\\=|\\!\\=|\\>|\\>\\=|\\<|\\<\\=)(\\d+)/\n    )\n    const fieldConfig = getFacet(config.facet_attributes || [], field)\n\n    if (!match) return sum\n\n    const getFilter = (operator: string, value: string) => {\n      if (operator === '=') {\n        return {\n          term: {\n            [field]: value\n          }\n        }\n      } else if (operator === '!=') {\n        return {\n          bool: {\n            must_not: {\n              term: {\n                [field]: value\n              }\n            }\n          }\n        }\n      } else if (operator === '>') {\n        return {\n          range: {\n            [field]: {\n              gt: value\n            }\n          }\n        }\n      } else if (operator === '>=') {\n        return {\n          range: {\n            [field]: {\n              gte: value\n            }\n          }\n        }\n      } else if (operator === '<') {\n        return {\n          range: {\n            [field]: {\n              lt: value\n            }\n          }\n        }\n      } else if (operator === '<=') {\n        return {\n          range: {\n            [field]: {\n              lte: value\n            }\n          }\n        }\n      }\n    }\n\n    const esFilter = []\n\n    if (typeof fieldConfig !== 'string' && fieldConfig.nestedPath) {\n      esFilter.push({\n        nested: {\n          path: fieldConfig.nestedPath,\n          query: {\n            bool: {\n              filter: [getFilter(operator, value)]\n            }\n          }\n        }\n      })\n    } else {\n      esFilter.push(getFilter(operator, value))\n    }\n\n    return [...sum, ...esFilter]\n  }, [])\n}\n\nconst termFilter = (field: string, value: string) => {\n  return { term: { [field]: value } }\n}\n\nconst transformFacetFilters = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n): ElasticsearchQuery[] => {\n  const { params = {} } = request\n  const { facetFilters } = params\n\n  if (!Array.isArray(facetFilters)) {\n    return []\n  }\n\n  return facetFilters.reduce((sum, filter) => {\n    if (Array.isArray(filter)) {\n      return [\n        ...sum,\n        {\n          bool: {\n            should: filter.reduce((sum, filter) => {\n              const [facet, value] = filter.split(':')\n              const facetAttribute = getFacetAttribute(facet)\n              const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n              const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n              if (\n                typeof facetConfig !== 'string' &&\n                isNestedFacet(facetConfig) &&\n                facetConfig.nestedPath\n              ) {\n                // detect if there is a nested filter in sum\n                // if one doesn't exist, add one\n                // if one does exist, add to it\n                const nestedFilter = sum.find((filter: any) => {\n                  return filter.nested && filter.nested.path === facetConfig.nestedPath\n                })\n\n                if (nestedFilter) {\n                  nestedFilter.nested.query.bool.should.push(\n                    termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                  )\n                  return sum\n                } else {\n                  return [\n                    ...sum,\n                    {\n                      nested: {\n                        path: facetConfig.nestedPath,\n                        query: {\n                          bool: {\n                            should: [\n                              termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n                            ]\n                          }\n                        }\n                      }\n                    }\n                  ]\n                }\n              }\n              return [...sum, termFilter(field, value)]\n            }, [])\n          }\n        }\n      ]\n    } else if (typeof filter === 'string') {\n      const [facet, value] = filter.split(':')\n      const facetAttribute = getFacetAttribute(facet)\n      const facetConfig = getFacet(config.facet_attributes || [], facetAttribute)\n      const field = typeof facetConfig === 'string' ? facetConfig : facetConfig.field\n\n      if (typeof facetConfig !== 'string' && isNestedFacet(facetConfig) && facetConfig.nestedPath) {\n        // detect if there is a nested filter in sum\n        // if one doesn't exist, add one\n        // if one does exist, add to it\n        const nestedFilter = sum.find((filter: any) => {\n          return filter.nested && filter.nested.path === facetConfig.nestedPath + '.'\n        })\n\n        if (nestedFilter) {\n          nestedFilter.nested.query.bool.should.push(\n            termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)\n          )\n          return sum\n        } else {\n          return [\n            ...sum,\n            {\n              nested: {\n                path: facetConfig.nestedPath,\n                query: {\n                  bool: {\n                    should: [termFilter(`${facetConfig.nestedPath}.${facetConfig.field}`, value)]\n                  }\n                }\n              }\n            }\n          ]\n        }\n      }\n      return [...sum, termFilter(field, value)]\n    }\n  }, [])\n}\n\nconst isNestedFacet = (facet: FacetAttribute): boolean => {\n  return typeof facet !== 'string' && !!facet.nestedPath\n}\n\nconst getTermAggregation = (facet: FacetAttribute, size: number, search: string) => {\n  const searchInclude = search && search.length > 0 ? { include: createRegexQuery(search) } : {}\n  let aggEntries = {}\n\n  const getInnerAggs = (facetName: string, field: string): any => {\n    if (typeof facet === 'string' || facet.type === 'string') {\n      aggEntries = {\n        [facetName]: {\n          terms: {\n            field: field,\n            size,\n            ...searchInclude\n          }\n        }\n      }\n    } else if (facet.type === 'numeric') {\n      aggEntries = {\n        [facetName + '$_stats']: {\n          stats: {\n            field: field\n          }\n        },\n        [facetName + '$_entries']: {\n          terms: {\n            field: field,\n            size: size\n          }\n        }\n      }\n    }\n    return aggEntries\n  }\n\n  if (typeof facet === 'string') {\n    return getInnerAggs(facet, facet)\n  } else if (isNestedFacet(facet)) {\n    return {\n      [`${facet.nestedPath}.`]: {\n        nested: {\n          path: facet.nestedPath\n        },\n        aggs: getInnerAggs(facet.attribute, `${facet.nestedPath}.${facet.field}`)\n      }\n    }\n  } else {\n    return getInnerAggs(facet.attribute, facet.field)\n  }\n}\n\nexport const getAggs = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) => {\n  const { params = {}, type } = request\n  // @ts-ignore\n  const { facets, maxValuesPerFacet, facetName, facetQuery } = params\n  const maxFacetSize = maxValuesPerFacet || 10\n  const facetAttributes = config.facet_attributes || []\n\n  if (facetName) {\n    return getTermAggregation(getFacet(facetAttributes, facetName), maxFacetSize, facetQuery)\n  } else if (Array.isArray(facets)) {\n    let facetAttibutes = config.facet_attributes || []\n\n    if (queryRuleActions.facetAttributesOrder) {\n      facetAttibutes = queryRuleActions.facetAttributesOrder.map((attribute) => {\n        return getFacet(config.facet_attributes || [], attribute)\n      })\n    }\n\n    const facetAttributes: FacetAttribute[] =\n      facets[0] === '*'\n        ? facetAttibutes\n        : facets.map((facetAttribute) => {\n            return getFacet(config.facet_attributes || [], facetAttribute)\n          })\n    return (\n      facetAttributes.reduce((sum, facet) => {\n        return deepmerge(sum, getTermAggregation(facet, maxFacetSize, ''))\n      }, {}) || {}\n    )\n  } else if (typeof facets === 'string') {\n    const field = getFacet(config.facet_attributes || [], facets)\n    return getTermAggregation(field, maxFacetSize, '')\n  }\n}\n\nexport function RelevanceQueryMatch(\n  query: string,\n  search_attributes: string[],\n  queryRuleActions: QueryRuleActions\n) {\n  if (queryRuleActions) {\n    return {\n      function_score: {\n        query: {\n          pinned: {\n            ids: queryRuleActions.pinnedDocs,\n            organic: {\n              combined_fields: {\n                query: queryRuleActions.query,\n                fields: search_attributes\n              }\n            }\n          }\n        },\n        functions: queryRuleActions.boostFunctions\n      }\n    }\n  }\n  return {\n    combined_fields: { query: query, fields: search_attributes }\n  }\n}\n\nconst getQuery = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n) => {\n  const { params = {} } = request\n  const { query } = params\n\n  const searchAttributes = config.search_attributes\n\n  const filters = [\n    ...transformFacetFilters(request, config),\n    ...transformNumericFilters(request, config),\n    ...(requestOptions?.getBaseFilters?.() || [])\n  ]\n\n  return {\n    bool: {\n      filter: filters,\n      must:\n        typeof query === 'string' && query !== ''\n          ? requestOptions?.getQuery\n            ? requestOptions.getQuery(query, searchAttributes, config)\n            : RelevanceQueryMatch(query, searchAttributes, queryRuleActions)\n          : []\n    }\n  }\n}\n\nconst getResultsSize = (request: AlgoliaMultipleQueriesQuery, config: SearchSettingsConfig) => {\n  const { params = {} } = request\n  const hitsPerPage = params.hitsPerPage || 20\n\n  return {\n    size: hitsPerPage,\n    from: (params.page || 0) * hitsPerPage\n  }\n}\n\nexport const getHitFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToRetrieve } = params\n  // ignoring attributesToRetrieve for now\n\n  return {\n    _source: {\n      includes: config.result_attributes\n    }\n  }\n}\n\nexport const getHighlightFields = (\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { attributesToHighlight } = params\n  // ignoring attributesToHighlight for now\n  return {\n    highlight: {\n      pre_tags: [params.highlightPreTag || '<ais-highlight-0000000000>'],\n      post_tags: [params.highlightPostTag || '</ais-highlight-0000000000>'],\n      fields:\n        config.highlight_attributes?.reduce(\n          (sum, field) => ({\n            ...sum,\n            [field]: {}\n          }),\n          {}\n        ) || {}\n    }\n  }\n}\n\nexport function transformRequest(\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions,\n  requestOptions?: RequestOptions\n): ElasticsearchSearchRequest {\n  const body: ElasticsearchSearchRequest = {\n    aggs: getAggs(request, config, queryRuleActions),\n    query: getQuery(request, config, queryRuleActions, requestOptions),\n    ...getResultsSize(request, config),\n    ...getHitFields(request, config),\n    ...getHighlightFields(request, config)\n  }\n\n  return body\n}\n","import { FacetAttribute, FacetFieldConfig } from './types'\n\nexport const createRegexQuery = (queryString: string) => {\n  let query = queryString.replace(/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g, '\\\\$&')\n  query = query\n    .split('')\n    .map((char) => {\n      if (/[a-z]/.test(char)) {\n        return `[${char}${char.toUpperCase()}]`\n      }\n      return char\n    })\n    .join('')\n  query = `${query}.*`\n  if (queryString.length > 2) {\n    query = `([a-zA-Z]+ )+?${query}`\n  }\n  return query\n}\n\nexport const getFacet = (\n  facet_attributes: FacetAttribute[],\n  attributeName: string\n): FacetAttribute => {\n  const f = facet_attributes.find((a) => {\n    if (typeof a === 'string') {\n      return a === attributeName\n    }\n    return a.attribute === attributeName\n  })\n  return f || attributeName\n}\n\nexport const getFacetField = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.field || attributeKey\n  )\n}\n\nexport const getFacetByAttribute = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): string => {\n  const attributeKey = getFacetAttribute(attribute)\n\n  if (facet_attributes.includes(attributeKey)) {\n    return attributeKey\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a.attribute === attributeKey)?.attribute || attributeKey\n  )\n}\n\nexport const getFacetAttribute = (facetAttribute: FacetAttribute): string => {\n  return typeof facetAttribute === 'string' ? facetAttribute : facetAttribute.attribute\n}\n\nexport const getFacetFieldType = (\n  facet_attributes: FacetAttribute[],\n  attribute: FacetAttribute\n): FacetFieldConfig['type'] => {\n  const attributeKey = typeof attribute === 'string' ? attribute : attribute.attribute\n\n  if (facet_attributes.includes(attributeKey)) {\n    return 'string'\n  }\n  return (\n    facet_attributes\n      // @ts-ignore: object is possibly null\n      .find((a) => a?.attribute === attributeKey)?.type || 'string'\n  )\n}\n","import { stringify } from 'querystring'\nimport { SearchSettingsConfig } from './types'\nimport { getHighlightFields, highlightTerm } from './highlightUtils'\nimport { AlgoliaMultipleQueriesQuery, ElasticsearchResponseBody } from './types'\nimport { getFacetFieldType } from './utils'\nimport { QueryRuleActions } from './queryRules'\n\ntype FacetsList = Record<string, Record<string, number>>\ntype FacetsStats = Record<string, { min: number; max: number; avg: number; sum: number }>\n\nconst getHits = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  const { hits } = response\n\n  return hits.hits.map((hit) => ({\n    objectID: hit._id,\n    ...(hit._source || {}),\n    _highlightResult: getHighlightFields(hit)\n  }))\n}\n\nconst getFacets = (response: ElasticsearchResponseBody, config: SearchSettingsConfig) => {\n  if (!response?.aggregations) {\n    return {}\n  }\n\n  // flattening for nested facets\n  const aggregations = Object.keys(response.aggregations).reduce<Record<string, any>>(\n    (sum, key) => {\n      const value = (response.aggregations || {})[key] as any\n\n      if (key.endsWith('.')) {\n        const { doc_count, ...nestedAggregations } = value\n        return {\n          ...sum,\n          ...nestedAggregations\n        }\n      }\n\n      return {\n        ...sum,\n        [key]: value\n      }\n    },\n    {}\n  )\n\n  return Object.keys(aggregations).reduce<{\n    facets: FacetsList\n    facets_stats: FacetsStats\n  }>(\n    (sum, f) => {\n      const facet = f.split('$')[0]\n      const fieldType = getFacetFieldType(config.facet_attributes || [], facet)\n\n      if (fieldType === 'numeric') {\n        const facetValues = aggregations[facet + '$_stats'] as any\n        const { buckets } = aggregations[facet + '$_entries'] as {\n          buckets: any[]\n        }\n\n        return {\n          ...sum,\n          facets: {\n            ...sum.facets,\n            [facet]: buckets.reduce<Record<string, number>>(\n              (sum, bucket) => ({\n                ...sum,\n                [bucket.key]: bucket.doc_count\n              }),\n              {}\n            )\n          },\n          facets_stats: {\n            ...sum.facets_stats,\n            [facet]: {\n              min: facetValues.min,\n              avg: facetValues.avg,\n              max: facetValues.max,\n              sum: facetValues.sum\n            }\n          }\n        }\n      }\n\n      const { buckets } = aggregations[facet] as { buckets: any[] }\n\n      return {\n        ...sum,\n        facets: {\n          ...sum.facets,\n          [facet]: buckets.reduce<Record<string, number>>(\n            (sum, bucket) => ({\n              ...sum,\n              [bucket.key]: bucket.doc_count\n            }),\n            {}\n          )\n        }\n      }\n    },\n    {\n      facets: {},\n      facets_stats: {}\n    }\n  )\n}\n\nconst getRenderingContent = (config: SearchSettingsConfig, queryRuleActions: QueryRuleActions) => {\n  const defaultOrder = config.facet_attributes?.map((facet) =>\n    typeof facet === 'string' ? facet : facet.attribute\n  )\n\n  return {\n    renderingContent: {\n      facetOrdering: {\n        facets: {\n          order: queryRuleActions.facetAttributesOrder || defaultOrder || []\n        },\n        values: config.facet_attributes?.reduce<Record<string, { sortRemainingBy: 'count' }>>(\n          (sum, facet) => {\n            const facetName = typeof facet === 'string' ? facet : facet.attribute\n\n            // If request has explicit facet orders and the facet is not\n            // in the query rule actions, we don't want to sort it\n            if (\n              queryRuleActions.facetAttributesOrder &&\n              !queryRuleActions.facetAttributesOrder.includes(facetName)\n            ) {\n              return sum\n            }\n\n            return {\n              ...sum,\n              [facetName]: {\n                sortRemainingBy: 'count'\n              }\n            }\n          },\n          {}\n        )\n      }\n    }\n  }\n}\n\nconst getPageDetails = (\n  response: ElasticsearchResponseBody,\n  request: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig\n) => {\n  const { params = {} } = request\n  const { hitsPerPage = 20, page = 0, query = '' } = params\n\n  const { total } = response.hits\n  const totalHits = typeof total === 'number' ? total : total?.value\n  const nbPages = Math.ceil((typeof total === 'number' ? total : total?.value || 0) / hitsPerPage)\n\n  return {\n    hitsPerPage,\n    processingTimeMS: response.took,\n    nbHits: totalHits,\n    page: page,\n    nbPages,\n    query\n  }\n}\n\nexport default function transformResponse(\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery,\n  config: SearchSettingsConfig,\n  queryRuleActions: QueryRuleActions\n) {\n  try {\n    return {\n      exhaustiveNbHits: true,\n      exhaustiveFacetsCount: true,\n      exhaustiveTypo: true,\n      exhaustive: { facetsCount: true, nbHits: true, typo: true },\n      ...getPageDetails(response, instantsearchRequest, config),\n      ...getRenderingContent(config, queryRuleActions),\n      ...getFacets(response, config),\n      hits: getHits(response, config),\n      index: instantsearchRequest.indexName,\n      params: stringify(instantsearchRequest.params as any),\n      ...(queryRuleActions.userData.length > 0 ? { userData: queryRuleActions.userData } : {})\n    }\n  } catch (e) {\n    throw new Error(`Error transforming Elasticsearch response for index`)\n  }\n}\n\nexport const transformFacetValuesResponse = (\n  response: ElasticsearchResponseBody,\n  instantsearchRequest: AlgoliaMultipleQueriesQuery\n) => {\n  const aggregations = response.aggregations || {}\n  return {\n    facetHits: (aggregations[Object.keys(aggregations)[0]] as any).buckets.map((entry: any) => ({\n      value: entry.key,\n      highlighted: highlightTerm(\n        entry.key,\n        // @ts-ignore\n        instantsearchRequest.params.facetQuery || ''\n      ),\n      count: entry.doc_count\n    })),\n    exhaustiveFacetsCount: true,\n    processingTimeMS: response.took\n  }\n}\n","import type { ElasticsearchHit } from './types'\n\nexport function highlightTerm(value: string, query: string): string {\n  const regex = new RegExp(query, 'gi')\n  return value.replace(\n    regex,\n    (match) => `<ais-highlight-0000000000>${match}</ais-highlight-0000000000>`\n  )\n}\n\nexport function getHighlightFields(hit: ElasticsearchHit) {\n  const { _source = {}, highlight = {} } = hit\n\n  const hitHighlights = Object.keys(_source).reduce<Record<string, any>>((sum, fieldKey) => {\n    const fieldValue: any = _source[fieldKey]\n    const highlightedMatch = highlight[fieldKey] || null\n\n    if (Array.isArray(fieldValue) && !highlightedMatch) {\n      return {\n        ...sum,\n        [fieldKey]: fieldValue.map((value) => ({\n          matchLevel: 'none',\n          matchedWords: [],\n          value: value\n        }))\n      }\n    } else if (Array.isArray(highlightedMatch)) {\n      // TODO: needs to return all non matches values too\n      return {\n        ...sum,\n        [fieldKey]: highlightedMatch.map((highlightedMatch) => {\n          const matchWords = Array.from(\n            highlightedMatch.matchAll(\n              /\\<ais-highlight-0000000000\\>(.*?)\\<\\/ais-highlight-0000000000\\>/g\n            )\n          ).map((match) => match[1])\n          return {\n            fullyHighlighted: false,\n            matchLevel: 'full',\n            matchedWords: matchWords,\n            value: highlightedMatch\n          }\n        })\n      }\n    }\n\n    return {\n      ...sum,\n      [fieldKey]: {\n        matchLevel: 'none',\n        matchedWords: [],\n        value: fieldValue\n      }\n    }\n  }, {})\n\n  return hitHighlights\n}\n","import { ClientConfigConnection, SearchRequest } from './types'\nimport { ElasticsearchResponseBody, Transporter } from './types'\n\nexport class ESTransporter implements Transporter {\n  constructor(public config: ClientConfigConnection) {}\n\n  async msearch(requests: SearchRequest[]): Promise<ElasticsearchResponseBody[]> {\n    // @ts-ignore\n    try {\n      const response = await fetch(`${this.config.host}/_msearch`, {\n        headers: {\n          ...(this.config.apiKey ? { authorization: `ApiKey ${this.config.apiKey}` } : {}),\n          'content-type': 'application/json'\n        },\n        body: requests\n          .reduce<string[]>(\n            (sum, request) => [\n              ...sum,\n              JSON.stringify({ index: request.indexName }),\n              '\\n',\n              JSON.stringify(request.body),\n              '\\n'\n            ],\n            []\n          )\n          .join(''),\n        method: 'POST'\n      })\n\n      const responses = await response.json()\n\n      if (responses.status >= 500) {\n        throw new Error(\n          'Elasticsearch Internal Error: Check your elasticsearch instance to make sure it can recieve requests.'\n        )\n      } else if (responses.status === 401) {\n        throw new Error(\n          'Cannot connect to Elasticsearch. Check your connection host and API Key. You can also provide a custom Elasticsearch transporter to the API Client. See docs for more information.'\n        )\n      } else if (responses.responses?.[0]?.status === 403) {\n        throw new Error(\n          'Auth Error: You do not have permission to access this index. Check you are calling the right index (specified in frontend) and your API Key permissions has access to the index.'\n        )\n      } else if (responses.status === 404 || responses.responses?.[0]?.status === 404) {\n        throw new Error(\n          'Elasticsearch index not found. Check your index name and make sure it exists.'\n        )\n      } else if (responses.status === 400) {\n        throw new Error(\n          'Elasticsearch Bad Request. Check your query and make sure it is valid. Turn on debug mode to see the Elasticsearch query.'\n        )\n      }\n      return responses.responses\n    } catch (error) {\n      throw error\n    }\n  }\n}\n","import { AlgoliaMultipleQueriesQuery, QueryRule, SearchSettingsConfig } from './types'\n\nexport interface QueryContext {\n  query: string\n}\n\nexport interface QueryRuleActions {\n  pinnedDocs: string[]\n  boostFunctions: any[]\n  query: string\n  userData: unknown[]\n  facetAttributesOrder: string[] | undefined\n}\n\nexport const getQueryRulesActionsFromRequest = (\n  queryRules: QueryRule[],\n  request: AlgoliaMultipleQueriesQuery\n) => {\n  const queryContext: QueryContext = {\n    query: request.params?.query || ''\n  }\n\n  const satisfiedRules = getSatisfiedRules(queryContext, queryRules || [])\n\n  const actions = satisfiedRules.reduce<QueryRuleActions>(\n    (sum, rule) => {\n      rule.actions.map((action) => {\n        if (action.action === 'PinnedResult') {\n          sum.pinnedDocs.push(...action.documentIds)\n        } else if (action.action === 'QueryRewrite') {\n          sum.query = action.query\n        } else if (action.action === 'QueryAttributeBoost') {\n          sum.boostFunctions.push({\n            filter: {\n              match: { [action.attribute]: { query: action.value } }\n            },\n            weight: action.boost\n          })\n        } else if (action.action === 'RenderUserData') {\n          sum.userData.push(JSON.parse(action.userData))\n        } else if (action.action === 'RenderFacetsOrder') {\n          sum.facetAttributesOrder = action.facetAttributesOrder\n        }\n      })\n      return sum\n    },\n    {\n      pinnedDocs: [],\n      boostFunctions: [],\n      query: queryContext.query,\n      userData: [],\n      facetAttributesOrder: undefined\n    }\n  )\n  return actions\n}\n\nexport const getSatisfiedRules = (queryContext: QueryContext, rules: QueryRule[]) =>\n  rules.filter(\n    (rule) =>\n      rule.conditions.filter((condition) => {\n        if (condition.context === 'query' && condition.match_type === 'exact') {\n          return condition.value === queryContext.query\n        }\n        if (condition.context === 'query' && condition.match_type === 'contains') {\n          return queryContext.query.includes(condition.value)\n        }\n        if (condition.context === 'query' && condition.match_type === 'prefix') {\n          return queryContext.query.startsWith(condition.value)\n        }\n\n        return false\n      }).length > 0\n  )\n","import type { MultipleQueriesQuery as AlgoliaMultipleQueriesQuery } from '@algolia/client-search'\nimport { transformRequest } from './transformRequest'\nimport transformResponse, { transformFacetValuesResponse } from './transformResponse'\nimport {\n  ClientConfig,\n  SearchRequest,\n  RequestOptions,\n  Transporter,\n  QueryRuleAction,\n  AppSettings\n} from './types'\nimport { ESTransporter } from './Transporter'\nimport { getQueryRulesActionsFromRequest, QueryRuleActions } from './queryRules'\nexport * from './types'\n\nclass Client {\n  transporter: Transporter\n\n  constructor(private config: ClientConfig, private settings: AppSettings = { debug: false }) {\n    this.transporter =\n      'msearch' in config.connection ? config.connection : new ESTransporter(config.connection)\n  }\n\n  private async performSearch(requests: SearchRequest[]) {\n    if (this.settings.debug) {\n      console.log('Performing search with requests:')\n      console.log(JSON.stringify(requests, null, 2))\n    }\n    const responses = await this.transporter.msearch(requests)\n    return responses\n  }\n\n  async handleRequest(body: any, requestOptions?: RequestOptions) {\n    const instantsearchRequests = body as AlgoliaMultipleQueriesQuery[]\n\n    const instantsearchResponses = this.handleInstantSearchRequests(\n      instantsearchRequests,\n      requestOptions\n    )\n\n    return instantsearchResponses\n  }\n\n  async handleInstantSearchRequests(\n    instantsearchRequests: AlgoliaMultipleQueriesQuery[],\n    requestOptions?: RequestOptions\n  ) {\n    const queryRules = this.config.search_settings.query_rules || []\n\n    const requestQueryRuleActions: QueryRuleActions[] = instantsearchRequests.map((request) => {\n      return getQueryRulesActionsFromRequest(queryRules, request)\n    })\n\n    const esRequests: SearchRequest[] = instantsearchRequests.map((request, i) => ({\n      body: transformRequest(\n        request,\n        this.config.search_settings,\n        requestQueryRuleActions[i],\n        requestOptions\n      ),\n      indexName: request.indexName\n    }))\n\n    const esResponses = await this.performSearch(esRequests)\n\n    const instantsearchResponses = esResponses.map((response, i) => {\n      // @ts-ignore\n      if (instantsearchRequests[i].params?.facetName) {\n        return transformFacetValuesResponse(response, instantsearchRequests[i])\n      }\n      return 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package.json

 {
   "name": "@searchkit/api",
-  "version": "4.0.0-next.5",
+  "version": "4.0.0-next.6",
   "main": "./dist/index.js",
@@ -5,0 +5,0 @@ "description": "",

New alerts

Network access

Supply chain risk

This module accesses the network.

Found 1 instance in 1 package

Fixed alerts

Network access

Supply chain risk

This module accesses the network.

Found 1 instance in 1 package

Improved metrics

Total package byte prevSize

148425

6.01%

Lines of code

1685

4.59%

No dependency changes