{-# LANGUAGE DeriveGeneric #-} {-# LANGUAGE DuplicateRecordFields #-} {-# LANGUAGE NamedFieldPuns #-} {-# LANGUAGE OverloadedStrings #-} {-# LANGUAGE RecordWildCards #-} {-# LANGUAGE StrictData #-} {-# LANGUAGE TypeFamilies #-} {-# LANGUAGE NoImplicitPrelude #-} {-# OPTIONS_GHC -fno-warn-unused-binds #-} {-# OPTIONS_GHC -fno-warn-unused-imports #-} {-# OPTIONS_GHC -fno-warn-unused-matches #-} -- Derived from AWS service descriptions, licensed under Apache 2.0. -- | -- Module : Amazonka.PersonalizeRuntime.GetPersonalizedRanking -- Copyright : (c) 2013-2023 Brendan Hay -- License : Mozilla Public License, v. 2.0. -- Maintainer : Brendan Hay -- Stability : auto-generated -- Portability : non-portable (GHC extensions) -- -- Re-ranks a list of recommended items for the given user. The first item -- in the list is deemed the most likely item to be of interest to the -- user. -- -- The solution backing the campaign must have been created using a recipe -- of type PERSONALIZED_RANKING. module Amazonka.PersonalizeRuntime.GetPersonalizedRanking ( -- * Creating a Request GetPersonalizedRanking (..), newGetPersonalizedRanking, -- * Request Lenses getPersonalizedRanking_context, getPersonalizedRanking_filterArn, getPersonalizedRanking_filterValues, getPersonalizedRanking_campaignArn, getPersonalizedRanking_inputList, getPersonalizedRanking_userId, -- * Destructuring the Response GetPersonalizedRankingResponse (..), newGetPersonalizedRankingResponse, -- * Response Lenses getPersonalizedRankingResponse_personalizedRanking, getPersonalizedRankingResponse_recommendationId, getPersonalizedRankingResponse_httpStatus, ) where import qualified Amazonka.Core as Core import qualified Amazonka.Core.Lens.Internal as Lens import qualified Amazonka.Data as Data import Amazonka.PersonalizeRuntime.Types import qualified Amazonka.Prelude as Prelude import qualified Amazonka.Request as Request import qualified Amazonka.Response as Response -- | /See:/ 'newGetPersonalizedRanking' smart constructor. data GetPersonalizedRanking = GetPersonalizedRanking' { -- | The contextual metadata to use when getting recommendations. Contextual -- metadata includes any interaction information that might be relevant -- when getting a user\'s recommendations, such as the user\'s current -- location or device type. context :: Prelude.Maybe (Prelude.HashMap Prelude.Text (Data.Sensitive Prelude.Text)), -- | The Amazon Resource Name (ARN) of a filter you created to include items -- or exclude items from recommendations for a given user. For more -- information, see -- . filterArn :: Prelude.Maybe Prelude.Text, -- | The values to use when filtering recommendations. For each placeholder -- parameter in your filter expression, provide the parameter name (in -- matching case) as a key and the filter value(s) as the corresponding -- value. Separate multiple values for one parameter with a comma. -- -- For filter expressions that use an @INCLUDE@ element to include items, -- you must provide values for all parameters that are defined in the -- expression. For filters with expressions that use an @EXCLUDE@ element -- to exclude items, you can omit the @filter-values@.In this case, Amazon -- Personalize doesn\'t use that portion of the expression to filter -- recommendations. -- -- For more information, see -- . filterValues :: Prelude.Maybe (Prelude.HashMap Prelude.Text (Data.Sensitive Prelude.Text)), -- | The Amazon Resource Name (ARN) of the campaign to use for generating the -- personalized ranking. campaignArn :: Prelude.Text, -- | A list of items (by @itemId@) to rank. If an item was not included in -- the training dataset, the item is appended to the end of the reranked -- list. The maximum is 500. inputList :: [Prelude.Text], -- | The user for which you want the campaign to provide a personalized -- ranking. userId :: Prelude.Text } deriving (Prelude.Eq, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'GetPersonalizedRanking' with all optional fields omitted. -- -- Use or to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'context', 'getPersonalizedRanking_context' - The contextual metadata to use when getting recommendations. Contextual -- metadata includes any interaction information that might be relevant -- when getting a user\'s recommendations, such as the user\'s current -- location or device type. -- -- 'filterArn', 'getPersonalizedRanking_filterArn' - The Amazon Resource Name (ARN) of a filter you created to include items -- or exclude items from recommendations for a given user. For more -- information, see -- . -- -- 'filterValues', 'getPersonalizedRanking_filterValues' - The values to use when filtering recommendations. For each placeholder -- parameter in your filter expression, provide the parameter name (in -- matching case) as a key and the filter value(s) as the corresponding -- value. Separate multiple values for one parameter with a comma. -- -- For filter expressions that use an @INCLUDE@ element to include items, -- you must provide values for all parameters that are defined in the -- expression. For filters with expressions that use an @EXCLUDE@ element -- to exclude items, you can omit the @filter-values@.In this case, Amazon -- Personalize doesn\'t use that portion of the expression to filter -- recommendations. -- -- For more information, see -- . -- -- 'campaignArn', 'getPersonalizedRanking_campaignArn' - The Amazon Resource Name (ARN) of the campaign to use for generating the -- personalized ranking. -- -- 'inputList', 'getPersonalizedRanking_inputList' - A list of items (by @itemId@) to rank. If an item was not included in -- the training dataset, the item is appended to the end of the reranked -- list. The maximum is 500. -- -- 'userId', 'getPersonalizedRanking_userId' - The user for which you want the campaign to provide a personalized -- ranking. newGetPersonalizedRanking :: -- | 'campaignArn' Prelude.Text -> -- | 'userId' Prelude.Text -> GetPersonalizedRanking newGetPersonalizedRanking pCampaignArn_ pUserId_ = GetPersonalizedRanking' { context = Prelude.Nothing, filterArn = Prelude.Nothing, filterValues = Prelude.Nothing, campaignArn = pCampaignArn_, inputList = Prelude.mempty, userId = pUserId_ } -- | The contextual metadata to use when getting recommendations. Contextual -- metadata includes any interaction information that might be relevant -- when getting a user\'s recommendations, such as the user\'s current -- location or device type. getPersonalizedRanking_context :: Lens.Lens' GetPersonalizedRanking (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text)) getPersonalizedRanking_context = Lens.lens (\GetPersonalizedRanking' {context} -> context) (\s@GetPersonalizedRanking' {} a -> s {context = a} :: GetPersonalizedRanking) Prelude.. Lens.mapping Lens.coerced -- | The Amazon Resource Name (ARN) of a filter you created to include items -- or exclude items from recommendations for a given user. For more -- information, see -- . getPersonalizedRanking_filterArn :: Lens.Lens' GetPersonalizedRanking (Prelude.Maybe Prelude.Text) getPersonalizedRanking_filterArn = Lens.lens (\GetPersonalizedRanking' {filterArn} -> filterArn) (\s@GetPersonalizedRanking' {} a -> s {filterArn = a} :: GetPersonalizedRanking) -- | The values to use when filtering recommendations. For each placeholder -- parameter in your filter expression, provide the parameter name (in -- matching case) as a key and the filter value(s) as the corresponding -- value. Separate multiple values for one parameter with a comma. -- -- For filter expressions that use an @INCLUDE@ element to include items, -- you must provide values for all parameters that are defined in the -- expression. For filters with expressions that use an @EXCLUDE@ element -- to exclude items, you can omit the @filter-values@.In this case, Amazon -- Personalize doesn\'t use that portion of the expression to filter -- recommendations. -- -- For more information, see -- . getPersonalizedRanking_filterValues :: Lens.Lens' GetPersonalizedRanking (Prelude.Maybe (Prelude.HashMap Prelude.Text Prelude.Text)) getPersonalizedRanking_filterValues = Lens.lens (\GetPersonalizedRanking' {filterValues} -> filterValues) (\s@GetPersonalizedRanking' {} a -> s {filterValues = a} :: GetPersonalizedRanking) Prelude.. Lens.mapping Lens.coerced -- | The Amazon Resource Name (ARN) of the campaign to use for generating the -- personalized ranking. getPersonalizedRanking_campaignArn :: Lens.Lens' GetPersonalizedRanking Prelude.Text getPersonalizedRanking_campaignArn = Lens.lens (\GetPersonalizedRanking' {campaignArn} -> campaignArn) (\s@GetPersonalizedRanking' {} a -> s {campaignArn = a} :: GetPersonalizedRanking) -- | A list of items (by @itemId@) to rank. If an item was not included in -- the training dataset, the item is appended to the end of the reranked -- list. The maximum is 500. getPersonalizedRanking_inputList :: Lens.Lens' GetPersonalizedRanking [Prelude.Text] getPersonalizedRanking_inputList = Lens.lens (\GetPersonalizedRanking' {inputList} -> inputList) (\s@GetPersonalizedRanking' {} a -> s {inputList = a} :: GetPersonalizedRanking) Prelude.. Lens.coerced -- | The user for which you want the campaign to provide a personalized -- ranking. getPersonalizedRanking_userId :: Lens.Lens' GetPersonalizedRanking Prelude.Text getPersonalizedRanking_userId = Lens.lens (\GetPersonalizedRanking' {userId} -> userId) (\s@GetPersonalizedRanking' {} a -> s {userId = a} :: GetPersonalizedRanking) instance Core.AWSRequest GetPersonalizedRanking where type AWSResponse GetPersonalizedRanking = GetPersonalizedRankingResponse request overrides = Request.postJSON (overrides defaultService) response = Response.receiveJSON ( \s h x -> GetPersonalizedRankingResponse' Prelude.<$> ( x Data..?> "personalizedRanking" Core..!@ Prelude.mempty ) Prelude.<*> (x Data..?> "recommendationId") Prelude.<*> (Prelude.pure (Prelude.fromEnum s)) ) instance Prelude.Hashable GetPersonalizedRanking where hashWithSalt _salt GetPersonalizedRanking' {..} = _salt `Prelude.hashWithSalt` context `Prelude.hashWithSalt` filterArn `Prelude.hashWithSalt` filterValues `Prelude.hashWithSalt` campaignArn `Prelude.hashWithSalt` inputList `Prelude.hashWithSalt` userId instance Prelude.NFData GetPersonalizedRanking where rnf GetPersonalizedRanking' {..} = Prelude.rnf context `Prelude.seq` Prelude.rnf filterArn `Prelude.seq` Prelude.rnf filterValues `Prelude.seq` Prelude.rnf campaignArn `Prelude.seq` Prelude.rnf inputList `Prelude.seq` Prelude.rnf userId instance Data.ToHeaders GetPersonalizedRanking where toHeaders = Prelude.const ( Prelude.mconcat [ "Content-Type" Data.=# ( "application/x-amz-json-1.1" :: Prelude.ByteString ) ] ) instance Data.ToJSON GetPersonalizedRanking where toJSON GetPersonalizedRanking' {..} = Data.object ( Prelude.catMaybes [ ("context" Data..=) Prelude.<$> context, ("filterArn" Data..=) Prelude.<$> filterArn, ("filterValues" Data..=) Prelude.<$> filterValues, Prelude.Just ("campaignArn" Data..= campaignArn), Prelude.Just ("inputList" Data..= inputList), Prelude.Just ("userId" Data..= userId) ] ) instance Data.ToPath GetPersonalizedRanking where toPath = Prelude.const "/personalize-ranking" instance Data.ToQuery GetPersonalizedRanking where toQuery = Prelude.const Prelude.mempty -- | /See:/ 'newGetPersonalizedRankingResponse' smart constructor. data GetPersonalizedRankingResponse = GetPersonalizedRankingResponse' { -- | A list of items in order of most likely interest to the user. The -- maximum is 500. personalizedRanking :: Prelude.Maybe [PredictedItem], -- | The ID of the recommendation. recommendationId :: Prelude.Maybe Prelude.Text, -- | The response's http status code. httpStatus :: Prelude.Int } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'GetPersonalizedRankingResponse' with all optional fields omitted. -- -- Use or to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'personalizedRanking', 'getPersonalizedRankingResponse_personalizedRanking' - A list of items in order of most likely interest to the user. The -- maximum is 500. -- -- 'recommendationId', 'getPersonalizedRankingResponse_recommendationId' - The ID of the recommendation. -- -- 'httpStatus', 'getPersonalizedRankingResponse_httpStatus' - The response's http status code. newGetPersonalizedRankingResponse :: -- | 'httpStatus' Prelude.Int -> GetPersonalizedRankingResponse newGetPersonalizedRankingResponse pHttpStatus_ = GetPersonalizedRankingResponse' { personalizedRanking = Prelude.Nothing, recommendationId = Prelude.Nothing, httpStatus = pHttpStatus_ } -- | A list of items in order of most likely interest to the user. The -- maximum is 500. getPersonalizedRankingResponse_personalizedRanking :: Lens.Lens' GetPersonalizedRankingResponse (Prelude.Maybe [PredictedItem]) getPersonalizedRankingResponse_personalizedRanking = Lens.lens (\GetPersonalizedRankingResponse' {personalizedRanking} -> personalizedRanking) (\s@GetPersonalizedRankingResponse' {} a -> s {personalizedRanking = a} :: GetPersonalizedRankingResponse) Prelude.. Lens.mapping Lens.coerced -- | The ID of the recommendation. getPersonalizedRankingResponse_recommendationId :: Lens.Lens' GetPersonalizedRankingResponse (Prelude.Maybe Prelude.Text) getPersonalizedRankingResponse_recommendationId = Lens.lens (\GetPersonalizedRankingResponse' {recommendationId} -> recommendationId) (\s@GetPersonalizedRankingResponse' {} a -> s {recommendationId = a} :: GetPersonalizedRankingResponse) -- | The response's http status code. getPersonalizedRankingResponse_httpStatus :: Lens.Lens' GetPersonalizedRankingResponse Prelude.Int getPersonalizedRankingResponse_httpStatus = Lens.lens (\GetPersonalizedRankingResponse' {httpStatus} -> httpStatus) (\s@GetPersonalizedRankingResponse' {} a -> s {httpStatus = a} :: GetPersonalizedRankingResponse) instance Prelude.NFData GetPersonalizedRankingResponse where rnf GetPersonalizedRankingResponse' {..} = Prelude.rnf personalizedRanking `Prelude.seq` Prelude.rnf recommendationId `Prelude.seq` Prelude.rnf httpStatus