Add facetStats compatibility to be aware of min and max for MS v1.1.0

.changeset/stupid-mirrors-itch.md

@@ -0,0 +1,6 @@
+---
+"@meilisearch/instant-meilisearch": patch
+---
+
+Add the facetStats of numeric facets, giving access to the min and max value of these facets.
+The following widgets are now compatible with Meilisearch: `RangeSlider` and `RangeInput`

README.md

@@ -741,54 +741,14 @@ The `rangeSlider` widget provides a user-friendly way to filter the results, bas
 - ✅ attribute: The name of the attribute in the document. _required_.
 - ✅ min: The minimum value for the input. _required_
 - ✅ max: The maximum value for the input. _required_
-- ❌ precision: The number of digits after the decimal point to use. Not compatible as only integers work with `rangeSlider`.
+- ✅ precision: The number of digits after the decimal point to use. Not compatible as only integers work with `rangeSlider`.
 - ✅ step: The number of steps between each handle move.
 - ✅ pips: Whether to show slider pips (ruler marks).
 - ✅ tooltips: Whether to show tooltips. The default tooltips show the raw value.
 - ✅ cssClasses: The CSS classes to override.
 
-#### ⚠️ The component is compatible but only by applying the following requirements:
+To be able to use the `rangeSlider` on an attribute, the attribute must be in the[`filterableAttributes`](https://docs.meilisearch.com/reference/features/filtering_and_faceted_search.html#configuring-filters) and must contain numeric values.
 
-#### 1. Manual Min Max
-
-Min and max of attributes are not returned from Meilisearch and thus **must be set manually**.
-
-```js
-  instantsearch.widgets.rangeSlider({
-    // ...
-    min: 0,
-    max: 100000,
-  }),
-```
-
-#### 2. Attribute must be in `filterableAttributes`
-
-If the attribute is not in the [`filterableAttributes`](https://docs.meilisearch.com/reference/features/filtering_and_faceted_search.html#configuring-filters) setting list, filtering on this attribute is not possible.
-
-Example:
-Given the attribute `id` that has not been added in `filterableAttributes`:
-
-```js
-  instantsearch.widgets.rangeSlider({
-    attribute: 'id',
-    // ...
-  }),
-```
-
-The widget throws the following error:
-
-```json
-{
-  "message": "  .. attribute `id` is not filterable, available filterable attributes are: author, price, genres",
-  "errorCode": "bad_request",
-  "errorType": "invalid_request_error",
-  "errorLink": "https://docs.meilisearch.com/errors#bad_request"
-}
-```
-
-To avoid this error, the attribute must be added to the [`filterableAttributes` setting](https://docs.meilisearch.com/reference/api/filterable_attributes.html#get-filterable-attributes).
-
-After these steps, `rangeSlider` becomes compatible.
 
 ### ✅ Menu
 
@@ -832,7 +792,7 @@ The `rangeInput` widget allows a user to select a numeric range using a minimum
 - ✅ templates: The templates to use for the widget.
 - ✅ cssClasses: The CSS classes to override.
 
-⚠️ Not compatible with Meilisearch by default, needs a workaround. See workaround in [RangeSlider](#-rangeslider) section.
+To be able to use the `RangeInput` on an attribute, the attribute must be in the[`filterableAttributes`](https://docs.meilisearch.com/reference/features/filtering_and_faceted_search.html#configuring-filters) and must contain numeric values.
 
 ### ✅ MenuSelect
 

packages/instant-meilisearch/__tests__/facet-stats.test.ts

@@ -0,0 +1,68 @@
+import { searchClient, dataset, meilisearchClient } from './assets/utils'
+
+describe('Facet stats tests', () => {
+  beforeAll(async () => {
+    const deleteTask = await meilisearchClient.deleteIndex('movies')
+    await meilisearchClient.waitForTask(deleteTask.taskUid)
+    await meilisearchClient
+      .index('movies')
+      .updateFilterableAttributes(['genres', 'release_date', 'id'])
+    const documentsTask = await meilisearchClient
+      .index('movies')
+      .addDocuments(dataset)
+    await meilisearchClient.index('movies').waitForTask(documentsTask.taskUid)
+  })
+
+  test('Facet stats on an empty facets array', async () => {
+    const response = await searchClient.search([
+      {
+        indexName: 'movies',
+        params: {
+          query: '',
+          facets: [],
+        },
+      },
+    ])
+
+    expect(response.results[0].facets_stats?.release_date).toEqual(undefined)
+  })
+
+  test('Facet stats on a facet with no numeric values', async () => {
+    const response = await searchClient.search([
+      {
+        indexName: 'movies',
+        params: {
+          query: '',
+          facets: ['genres'],
+        },
+      },
+    ])
+
+    expect(response.results[0].facets_stats?.genres).toEqual(undefined)
+  })
+
+  test('Facet stats on two facet', async () => {
+    const response = await searchClient.search([
+      {
+        indexName: 'movies',
+        params: {
+          query: '',
+          facets: ['release_date', 'id'],
+        },
+      },
+    ])
+
+    expect(response.results[0].facets_stats?.release_date).toEqual({
+      avg: 0,
+      max: 1065744000,
+      min: 233366400,
+      sum: 0,
+    })
+    expect(response.results[0].facets_stats?.id).toEqual({
+      avg: 0,
+      max: 30,
+      min: 2,
+      sum: 0,
+    })
+  })
+})

packages/instant-meilisearch/src/adapter/search-response-adapter/adapt-facet-stats.ts

@@ -0,0 +1,19 @@
+import {
+  AlgoliaSearchResponse,
+  MeiliFacetStats,
+  AlgoliaFacetStats,
+} from '../../types'
+
+export function adaptFacetStats(
+  meiliFacetStats: MeiliFacetStats
+): AlgoliaSearchResponse['facets_stats'] {
+  const facetStats = Object.keys(meiliFacetStats).reduce(
+    (stats: AlgoliaFacetStats, facet: string) => {
+      stats[facet] = { ...meiliFacetStats[facet], avg: 0, sum: 0 } // Set at 0 as these numbers are not provided by Meilisearch
+
+      return stats
+    },
+    {} as AlgoliaFacetStats
+  )
+  return facetStats
+}

packages/instant-meilisearch/src/adapter/search-response-adapter/search-response-adapter.ts

@@ -8,6 +8,7 @@ import { adaptHits } from './hits-adapter'
 import { adaptTotalHits } from './total-hits-adapter'
 import { adaptPaginationParameters } from './pagination-adapter'
 import { adaptFacetDistribution } from './facet-distribution-adapter'
+import { adaptFacetStats } from './adapt-facet-stats'
 
 /**
  * Adapt multiple search results from Meilisearch
@@ -54,6 +55,7 @@ export function adaptSearchResult<T>(
     query,
     indexUid,
     facetDistribution: responseFacetDistribution = {},
+    facetStats = {},
   } = meiliSearchResult
 
   const facets = Object.keys(responseFacetDistribution)
@@ -86,6 +88,7 @@ export function adaptSearchResult<T>(
     hits,
     params: '',
     exhaustiveNbHits: false,
+    facets_stats: adaptFacetStats(facetStats),
   }
   return adaptedSearchResult
 }

packages/instant-meilisearch/src/types/types.ts

@@ -15,7 +15,12 @@ export type {
 }
 export type { SearchResponse as AlgoliaSearchResponse } from '@algolia/client-search'
 
-export type { Filter, FacetDistribution, MeiliSearch } from 'meilisearch'
+export type {
+  Filter,
+  FacetDistribution,
+  MeiliSearch,
+  FacetStats as MeiliFacetStats,
+} from 'meilisearch'
 
 export type InstantSearchParams = AlgoliaMultipleQueriesQuery['params']
 
@@ -109,3 +114,25 @@ export type MultiSearchResolver = {
     instantSearchPagination: PaginationState[]
   ) => Promise<MeilisearchMultiSearchResult[]>
 }
+
+export type AlgoliaFacetStats = Record<
+  string,
+  {
+    /**
+     * The minimum value in the result set.
+     */
+    min: number
+    /**
+     * The maximum value in the result set.
+     */
+    max: number
+    /**
+     * The average facet value in the result set.
+     */
+    avg: number
+    /**
+     * The sum of all values in the result set.
+     */
+    sum: number
+  }
+>