feat: Automated regeneration of DiscoveryEngine client (googleapis#13208)

Auto-created at 2025-03-21 13:17:45 +0000 using the toys pull request generator.

Author: yoshi-code-bot

clients/discovery_engine/lib/google_api/discovery_engine/v1/api/projects.ex

@@ -20,7 +20,7 @@ defmodule GoogleApi.DiscoveryEngine.V1 do
   API client metadata for GoogleApi.DiscoveryEngine.V1.
   """
 
-  @discovery_revision "20250318"
+  @discovery_revision "20250320"
 
   def discovery_revision(), do: @discovery_revision
 end

clients/discovery_engine/lib/google_api/discovery_engine/v1/metadata.ex

@@ -0,0 +1,56 @@
+# Copyright 2019 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# NOTE: This file is auto generated by the elixir code generator program.
+# Do not edit this file manually.
+
+defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1ListCmekConfigsResponse do
+  @moduledoc """
+  Response message for CmekConfigService.ListCmekConfigs method.
+
+  ## Attributes
+
+  *   `cmekConfigs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1CmekConfig.t)`, *default:* `nil`) - All the customer's CmekConfigs.
+  """
+
+  use GoogleApi.Gax.ModelBase
+
+  @type t :: %__MODULE__{
+          :cmekConfigs =>
+            list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1CmekConfig.t())
+            | nil
+        }
+
+  field(:cmekConfigs,
+    as: GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1CmekConfig,
+    type: :list
+  )
+end
+
+defimpl Poison.Decoder,
+  for: GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1ListCmekConfigsResponse do
+  def decode(value, options) do
+    GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1ListCmekConfigsResponse.decode(
+      value,
+      options
+    )
+  end
+end
+
+defimpl Poison.Encoder,
+  for: GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1ListCmekConfigsResponse do
+  def encode(value, options) do
+    GoogleApi.Gax.ModelBase.encode(value, options)
+  end
+end

clients/discovery_engine/lib/google_api/discovery_engine/v1/model/google_cloud_discoveryengine_v1_list_cmek_configs_response.ex

@@ -21,7 +21,7 @@ defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1SearchR
 
   ## Attributes
 
-  *   `conditionBoostSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1SearchRequestBoostSpecConditionBoostSpec.t)`, *default:* `nil`) - Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
+  *   `conditionBoostSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1SearchRequestBoostSpecConditionBoostSpec.t)`, *default:* `nil`) - Condition boost specifications. If a document matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
   """
 
   use GoogleApi.Gax.ModelBase

clients/discovery_engine/lib/google_api/discovery_engine/v1/model/google_cloud_discoveryengine_v1_search_request_boost_spec.ex

@@ -23,17 +23,20 @@ defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaAc
 
   *   `actionParams` (*type:* `map()`, *default:* `nil`) - Required. Params needed to support actions in the format of (Key, Value) pairs. Required parameters for sources that support OAUTH, i.e. `gmail`, `google_calendar`, `jira`, `workday`, `salesforce`, `confluence`: * Key: `client_id` * Value: type STRING. The client ID for the service provider to identify your application. * Key: `client_secret` * Value:type STRING. The client secret generated by the application's authorization server.
   *   `isActionConfigured` (*type:* `boolean()`, *default:* `nil`) - Output only. The connector contains the necessary parameters and is configured to support actions.
+  *   `serviceName` (*type:* `String.t`, *default:* `nil`) - Optional. The Service Directory resource name (projects/*/locations/*/namespaces/*/services/*) representing a VPC network endpoint used to connect to the data source's `instance_uri`, defined in DataConnector.params. Required when VPC Service Controls are enabled.
   """
 
   use GoogleApi.Gax.ModelBase
 
   @type t :: %__MODULE__{
           :actionParams => map() | nil,
-          :isActionConfigured => boolean() | nil
+          :isActionConfigured => boolean() | nil,
+          :serviceName => String.t() | nil
         }
 
   field(:actionParams, type: :map)
   field(:isActionConfigured)
+  field(:serviceName)
 end
 
 defimpl Poison.Decoder,

clients/discovery_engine/lib/google_api/discovery_engine/v1/model/google_cloud_discoveryengine_v1alpha_action_config.ex

@@ -29,7 +29,7 @@ defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaSe
   *   `userInfo` (*type:* `GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaUserInfo.t`, *default:* `nil`) - Information about the end user. Highly recommended for analytics and personalization. UserInfo.user_agent is used to deduce `device_type` for analytics.
   *   `dataStoreSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaSearchRequestDataStoreSpec.t)`, *default:* `nil`) - Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
   *   `facetSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaSearchRequestFacetSpec.t)`, *default:* `nil`) - Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
-  *   `rankingExpression` (*type:* `String.t`, *default:* `nil`) - The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The syntax and supported features depend on the ranking_expression_backend value. If ranking_expression_backend is not provided, it defaults to BYOE. === BYOE === If ranking expression is not provided or set to BYOE, it should be a single function or multiple functions that are joined by "+". * ranking_expression = function, { " + ", function }; Supported functions: * double * relevance_score * double * dotProduct(embedding_field_path) Function variables: * `relevance_score`: pre-defined keywords, used for measure relevance between query and document. * `embedding_field_path`: the document embedding field used with query embedding vector. * `dotProduct`: embedding function between embedding_field_path and query embedding vector. Example ranking expression: If document has an embedding field doc_embedding, the ranking expression could be `0.5 * relevance_score + 0.3 * dotProduct(doc_embedding)`. === CLEARBOX === If ranking expression is set to CLEARBOX, the following expression types (and combinations of those chained using + or * operators) are supported: * double * signal * log(signal) * exp(signal) * rr(signal, double > 0) -- reciprocal rank transformation with second argument being a denominator constant. * is_nan(signal) -- returns 0 if signal is NaN, 1 otherwise. * fill_nan(signal1, signal2 | double) -- if signal1 is NaN, returns signal2 | double, else returns signal1. Examples: * 0.2 * gecko_score + 0.8 * log(bm25_score) * 0.2 * exp(fill_nan(gecko_score, 0)) + 0.3 * is_nan(bm25_score) * 0.2 * rr(gecko_score, 16) + 0.8 * rr(bm25_score, 32) The following signals are supported: * gecko_score -- semantic similarity adjustment * bm25_score -- keyword match adjustment * jetstream_score -- semantic relevance adjustment * pctr_rank -- predicted conversion rate adjustment as a rank * freshness_rank -- freshness adjustment as a rank * base_rank -- the default rank of the result
+  *   `rankingExpression` (*type:* `String.t`, *default:* `nil`) - The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The syntax and supported features depend on the ranking_expression_backend value. If ranking_expression_backend is not provided, it defaults to BYOE. === BYOE === If ranking_expression_backend is not provided or set to `BYOE`, it should be a single function or multiple functions that are joined by "+". * ranking_expression = function, { " + ", function }; Supported functions: * double * relevance_score * double * dotProduct(embedding_field_path) Function variables: * `relevance_score`: pre-defined keywords, used for measure relevance between query and document. * `embedding_field_path`: the document embedding field used with query embedding vector. * `dotProduct`: embedding function between embedding_field_path and query embedding vector. Example ranking expression: If document has an embedding field doc_embedding, the ranking expression could be `0.5 * relevance_score + 0.3 * dotProduct(doc_embedding)`. === CLEARBOX === If ranking_expression_backend is set to `CLEARBOX`, the following expression types (and combinations of those chained using + or * operators) are supported: * double * signal * log(signal) * exp(signal) * rr(signal, double > 0) -- reciprocal rank transformation with second argument being a denominator constant. * is_nan(signal) -- returns 0 if signal is NaN, 1 otherwise. * fill_nan(signal1, signal2 | double) -- if signal1 is NaN, returns signal2 | double, else returns signal1. Examples: * 0.2 * gecko_score + 0.8 * log(bm25_score) * 0.2 * exp(fill_nan(gecko_score, 0)) + 0.3 * is_nan(bm25_score) * 0.2 * rr(gecko_score, 16) + 0.8 * rr(bm25_score, 32) The following signals are supported: * gecko_score -- semantic similarity adjustment * bm25_score -- keyword match adjustment * jetstream_score -- semantic relevance adjustment * pctr_rank -- predicted conversion rate adjustment as a rank * freshness_rank -- freshness adjustment as a rank * base_rank -- the default rank of the result
   *   `pageSize` (*type:* `integer()`, *default:* `nil`) - Maximum number of Documents to return. The maximum allowed value depends on the data type. Values above the maximum value are coerced to the maximum value. * Websites with basic indexing: Default `10`, Maximum `25`. * Websites with advanced indexing: Default `25`, Maximum `50`. * Other: Default `50`, Maximum `100`. If this field is negative, an `INVALID_ARGUMENT` is returned.
   *   `relevanceThreshold` (*type:* `String.t`, *default:* `nil`) - The relevance threshold of the search results. Default to Google defined threshold, leveraging a balance of precision and recall to deliver both highly accurate results and comprehensive coverage of relevant information. This feature is not supported for healthcare search.
   *   `languageCode` (*type:* `String.t`, *default:* `nil`) - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see [Standard fields](https://cloud.google.com/apis/design/standard_fields). This field helps to better interpret the query. If a value isn't specified, the query language code is automatically detected, which may not be accurate.

clients/discovery_engine/lib/google_api/discovery_engine/v1/model/google_cloud_discoveryengine_v1alpha_search_request.ex

@@ -21,7 +21,7 @@ defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaSe
 
   ## Attributes
 
-  *   `conditionBoostSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaSearchRequestBoostSpecConditionBoostSpec.t)`, *default:* `nil`) - Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
+  *   `conditionBoostSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1alphaSearchRequestBoostSpecConditionBoostSpec.t)`, *default:* `nil`) - Condition boost specifications. If a document matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
   """
 
   use GoogleApi.Gax.ModelBase

clients/discovery_engine/lib/google_api/discovery_engine/v1/model/google_cloud_discoveryengine_v1alpha_search_request_boost_spec.ex

@@ -29,7 +29,7 @@ defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaSea
   *   `userInfo` (*type:* `GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaUserInfo.t`, *default:* `nil`) - Information about the end user. Highly recommended for analytics and personalization. UserInfo.user_agent is used to deduce `device_type` for analytics.
   *   `dataStoreSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaSearchRequestDataStoreSpec.t)`, *default:* `nil`) - Specifications that define the specific DataStores to be searched, along with configurations for those data stores. This is only considered for Engines with multiple data stores. For engines with a single data store, the specs directly under SearchRequest should be used.
   *   `facetSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaSearchRequestFacetSpec.t)`, *default:* `nil`) - Facet specifications for faceted search. If empty, no facets are returned. A maximum of 100 values are allowed. Otherwise, an `INVALID_ARGUMENT` error is returned.
-  *   `rankingExpression` (*type:* `String.t`, *default:* `nil`) - The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The syntax and supported features depend on the ranking_expression_backend value. If ranking_expression_backend is not provided, it defaults to BYOE. === BYOE === If ranking expression is not provided or set to BYOE, it should be a single function or multiple functions that are joined by "+". * ranking_expression = function, { " + ", function }; Supported functions: * double * relevance_score * double * dotProduct(embedding_field_path) Function variables: * `relevance_score`: pre-defined keywords, used for measure relevance between query and document. * `embedding_field_path`: the document embedding field used with query embedding vector. * `dotProduct`: embedding function between embedding_field_path and query embedding vector. Example ranking expression: If document has an embedding field doc_embedding, the ranking expression could be `0.5 * relevance_score + 0.3 * dotProduct(doc_embedding)`. === CLEARBOX === If ranking expression is set to CLEARBOX, the following expression types (and combinations of those chained using + or * operators) are supported: * double * signal * log(signal) * exp(signal) * rr(signal, double > 0) -- reciprocal rank transformation with second argument being a denominator constant. * is_nan(signal) -- returns 0 if signal is NaN, 1 otherwise. * fill_nan(signal1, signal2 | double) -- if signal1 is NaN, returns signal2 | double, else returns signal1. Examples: * 0.2 * gecko_score + 0.8 * log(bm25_score) * 0.2 * exp(fill_nan(gecko_score, 0)) + 0.3 * is_nan(bm25_score) * 0.2 * rr(gecko_score, 16) + 0.8 * rr(bm25_score, 32) The following signals are supported: * gecko_score -- semantic similarity adjustment * bm25_score -- keyword match adjustment * jetstream_score -- semantic relevance adjustment * pctr_rank -- predicted conversion rate adjustment as a rank * freshness_rank -- freshness adjustment as a rank * base_rank -- the default rank of the result
+  *   `rankingExpression` (*type:* `String.t`, *default:* `nil`) - The ranking expression controls the customized ranking on retrieval documents. This overrides ServingConfig.ranking_expression. The syntax and supported features depend on the ranking_expression_backend value. If ranking_expression_backend is not provided, it defaults to BYOE. === BYOE === If ranking_expression_backend is not provided or set to `BYOE`, it should be a single function or multiple functions that are joined by "+". * ranking_expression = function, { " + ", function }; Supported functions: * double * relevance_score * double * dotProduct(embedding_field_path) Function variables: * `relevance_score`: pre-defined keywords, used for measure relevance between query and document. * `embedding_field_path`: the document embedding field used with query embedding vector. * `dotProduct`: embedding function between embedding_field_path and query embedding vector. Example ranking expression: If document has an embedding field doc_embedding, the ranking expression could be `0.5 * relevance_score + 0.3 * dotProduct(doc_embedding)`. === CLEARBOX === If ranking_expression_backend is set to `CLEARBOX`, the following expression types (and combinations of those chained using + or * operators) are supported: * double * signal * log(signal) * exp(signal) * rr(signal, double > 0) -- reciprocal rank transformation with second argument being a denominator constant. * is_nan(signal) -- returns 0 if signal is NaN, 1 otherwise. * fill_nan(signal1, signal2 | double) -- if signal1 is NaN, returns signal2 | double, else returns signal1. Examples: * 0.2 * gecko_score + 0.8 * log(bm25_score) * 0.2 * exp(fill_nan(gecko_score, 0)) + 0.3 * is_nan(bm25_score) * 0.2 * rr(gecko_score, 16) + 0.8 * rr(bm25_score, 32) The following signals are supported: * gecko_score -- semantic similarity adjustment * bm25_score -- keyword match adjustment * jetstream_score -- semantic relevance adjustment * pctr_rank -- predicted conversion rate adjustment as a rank * freshness_rank -- freshness adjustment as a rank * base_rank -- the default rank of the result
   *   `pageSize` (*type:* `integer()`, *default:* `nil`) - Maximum number of Documents to return. The maximum allowed value depends on the data type. Values above the maximum value are coerced to the maximum value. * Websites with basic indexing: Default `10`, Maximum `25`. * Websites with advanced indexing: Default `25`, Maximum `50`. * Other: Default `50`, Maximum `100`. If this field is negative, an `INVALID_ARGUMENT` is returned.
   *   `relevanceThreshold` (*type:* `String.t`, *default:* `nil`) - The relevance threshold of the search results. Default to Google defined threshold, leveraging a balance of precision and recall to deliver both highly accurate results and comprehensive coverage of relevant information. This feature is not supported for healthcare search.
   *   `languageCode` (*type:* `String.t`, *default:* `nil`) - The BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see [Standard fields](https://cloud.google.com/apis/design/standard_fields). This field helps to better interpret the query. If a value isn't specified, the query language code is automatically detected, which may not be accurate.

clients/discovery_engine/lib/google_api/discovery_engine/v1/model/google_cloud_discoveryengine_v1beta_search_request.ex

@@ -21,7 +21,7 @@ defmodule GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaSea
 
   ## Attributes
 
-  *   `conditionBoostSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaSearchRequestBoostSpecConditionBoostSpec.t)`, *default:* `nil`) - Condition boost specifications. If a document matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
+  *   `conditionBoostSpecs` (*type:* `list(GoogleApi.DiscoveryEngine.V1.Model.GoogleCloudDiscoveryengineV1betaSearchRequestBoostSpecConditionBoostSpec.t)`, *default:* `nil`) - Condition boost specifications. If a document matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
   """
 
   use GoogleApi.Gax.ModelBase