algoliasearch.recommend.RecommendationsResults.scala Maven / Gradle / Ivy
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Scala client for Algolia Search API
/** Recommend API The Recommend API lets you retrieve recommendations from one of Algolia's AI recommendation models
* that you previously trained on your data. ## Client libraries Use Algolia's API clients and libraries to reliably
* integrate Algolia's APIs with your apps. The official API clients are covered by Algolia's [Service Level
* Agreement](https://www.algolia.com/policies/sla/). See: [Algolia's
* ecosystem](https://www.algolia.com/doc/guides/getting-started/how-algolia-works/in-depth/ecosystem/) ## Base URLs
* The base URLs for requests to the Recommend API are: - `https://{APPLICATION_ID}.algolia.net` -
* `https://{APPLICATION_ID}-dsn.algolia.net`. If your subscription includes a [Distributed Search
* Network](https://dashboard.algolia.com/infra), this ensures that requests are sent to servers closest to users. Both
* URLs provide high availability by distributing requests with load balancing. **All requests must use HTTPS.** ##
* Retry strategy To guarantee a high availability, implement a retry strategy for all API requests using the URLs of
* your servers as fallbacks: - `https://{APPLICATION_ID}-1.algolianet.com` -
* `https://{APPLICATION_ID}-2.algolianet.com` - `https://{APPLICATION_ID}-3.algolianet.com` These URLs use a different
* DNS provider than the primary URLs. You should randomize this list to ensure an even load across the three servers.
* All Algolia API clients implement this retry strategy. ## Authentication To authenticate your API requests, add
* these headers: - `x-algolia-application-id`. Your Algolia application ID. - `x-algolia-api-key`. An API key with the
* necessary permissions to make the request. The required access control list (ACL) to make a request is listed in
* each endpoint's reference. You can find your application ID and API key in the [Algolia
* dashboard](https://dashboard.algolia.com/account). ## Request format Request bodies must be JSON objects. ##
* Response status and errors The Recommend API returns JSON responses. Since JSON doesn't guarantee any specific
* ordering, don't rely on the order of attributes in the API response. Successful responses return a `2xx` status.
* Client errors return a `4xx` status. Server errors are indicated by a `5xx` status. Error responses have a `message`
* property with more information. ## Version The current version of the Recommend API is version 1, as indicated by
* the `/1/` in each endpoint's URL.
*
* The version of the OpenAPI document: 1.0.0
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech Do not edit the class manually.
*/
package algoliasearch.recommend
/** RecommendationsResults
*
* @param abTestID
* A/B test ID. This is only included in the response for indices that are part of an A/B test.
* @param abTestVariantID
* Variant ID. This is only included in the response for indices that are part of an A/B test.
* @param aroundLatLng
* Computed geographical location.
* @param automaticRadius
* Distance from a central coordinate provided by `aroundLatLng`.
* @param exhaustiveFacetsCount
* See the `facetsCount` field of the `exhaustive` object in the response.
* @param exhaustiveNbHits
* See the `nbHits` field of the `exhaustive` object in the response.
* @param exhaustiveTypo
* See the `typo` field of the `exhaustive` object in the response.
* @param facets
* Facet counts.
* @param facetsStats
* Statistics for numerical facets.
* @param index
* Index name used for the query.
* @param indexUsed
* Index name used for the query. During A/B testing, the targeted index isn't always the index used by the query.
* @param message
* Warnings about the query.
* @param nbSortedHits
* Number of hits selected and sorted by the relevant sort algorithm.
* @param parsedQuery
* Post-[normalization](https://www.algolia.com/doc/guides/managing-results/optimize-search-results/handling-natural-languages-nlp/#what-does-normalization-mean)
* query string that will be searched.
* @param processingTimeMS
* Time the server took to process the request, in milliseconds.
* @param processingTimingsMS
* Experimental. List of processing steps and their times, in milliseconds. You can use this list to investigate
* performance issues.
* @param queryAfterRemoval
* Markup text indicating which parts of the original query have been removed to retrieve a non-empty result set.
* @param serverTimeMS
* Time the server took to process the request, in milliseconds.
* @param serverUsed
* Host name of the server that processed the request.
* @param userData
* An object with custom data. You can store up to 32kB as custom data.
* @param queryID
* Unique identifier for the query. This is used for [click
* analytics](https://www.algolia.com/doc/guides/analytics/click-analytics/).
* @param automaticInsights
* Whether automatic events collection is enabled for the application.
* @param page
* Page of search results to retrieve.
* @param nbHits
* Number of results (hits).
* @param nbPages
* Number of pages of results.
* @param hitsPerPage
* Number of hits per page.
*/
case class RecommendationsResults(
abTestID: Option[Int] = scala.None,
abTestVariantID: Option[Int] = scala.None,
aroundLatLng: Option[String] = scala.None,
automaticRadius: Option[String] = scala.None,
exhaustive: Option[Exhaustive] = scala.None,
exhaustiveFacetsCount: Option[Boolean] = scala.None,
exhaustiveNbHits: Option[Boolean] = scala.None,
exhaustiveTypo: Option[Boolean] = scala.None,
facets: Option[Map[String, Map[String, Int]]] = scala.None,
facetsStats: Option[Map[String, FacetStats]] = scala.None,
index: Option[String] = scala.None,
indexUsed: Option[String] = scala.None,
message: Option[String] = scala.None,
nbSortedHits: Option[Int] = scala.None,
parsedQuery: Option[String] = scala.None,
processingTimeMS: Int,
processingTimingsMS: Option[Any] = scala.None,
queryAfterRemoval: Option[String] = scala.None,
redirect: Option[Redirect] = scala.None,
renderingContent: Option[RenderingContent] = scala.None,
serverTimeMS: Option[Int] = scala.None,
serverUsed: Option[String] = scala.None,
userData: Option[Any] = scala.None,
queryID: Option[String] = scala.None,
automaticInsights: Option[Boolean] = scala.None,
page: Option[Int] = scala.None,
nbHits: Option[Int] = scala.None,
nbPages: Option[Int] = scala.None,
hitsPerPage: Option[Int] = scala.None,
hits: Seq[RecommendationsHit]
)
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