feat: Automated regeneration of AIPlatform client (googleapis#13007)

Auto-created at 2025-02-20 13:18:30 +0000 using the toys pull request generator.

Author: yoshi-code-bot

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

@@ -310,6 +310,80 @@ defmodule GoogleApi.AIPlatform.V1.Api.Projects do
     )
   end
 
+  @doc """
+  Evaluates a dataset based on a set of given metrics.
+
+  ## Parameters
+
+  *   `connection` (*type:* `GoogleApi.AIPlatform.V1.Connection.t`) - Connection to server
+  *   `location` (*type:* `String.t`) - Required. The resource name of the Location to evaluate the dataset. Format: `projects/{project}/locations/{location}`
+  *   `optional_params` (*type:* `keyword()`) - Optional parameters
+      *   `:"$.xgafv"` (*type:* `String.t`) - V1 error format.
+      *   `:access_token` (*type:* `String.t`) - OAuth access token.
+      *   `:alt` (*type:* `String.t`) - Data format for response.
+      *   `:callback` (*type:* `String.t`) - JSONP
+      *   `:fields` (*type:* `String.t`) - Selector specifying which fields to include in a partial response.
+      *   `:key` (*type:* `String.t`) - API key. Your API key identifies your project and provides you with API access, quota, and reports. Required unless you provide an OAuth 2.0 token.
+      *   `:oauth_token` (*type:* `String.t`) - OAuth 2.0 token for the current user.
+      *   `:prettyPrint` (*type:* `boolean()`) - Returns response with indentations and line breaks.
+      *   `:quotaUser` (*type:* `String.t`) - Available to use for quota purposes for server-side applications. Can be any arbitrary string assigned to a user, but should not exceed 40 characters.
+      *   `:uploadType` (*type:* `String.t`) - Legacy upload protocol for media (e.g. "media", "multipart").
+      *   `:upload_protocol` (*type:* `String.t`) - Upload protocol for media (e.g. "raw", "multipart").
+      *   `:body` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateDatasetRequest.t`) - 
+  *   `opts` (*type:* `keyword()`) - Call options
+
+  ## Returns
+
+  *   `{:ok, %GoogleApi.AIPlatform.V1.Model.GoogleLongrunningOperation{}}` on success
+  *   `{:error, info}` on failure
+  """
+  @spec aiplatform_projects_locations_evaluate_dataset(
+          Tesla.Env.client(),
+          String.t(),
+          keyword(),
+          keyword()
+        ) ::
+          {:ok, GoogleApi.AIPlatform.V1.Model.GoogleLongrunningOperation.t()}
+          | {:ok, Tesla.Env.t()}
+          | {:ok, list()}
+          | {:error, any()}
+  def aiplatform_projects_locations_evaluate_dataset(
+        connection,
+        location,
+        optional_params \\ [],
+        opts \\ []
+      ) do
+    optional_params_config = %{
+      :"$.xgafv" => :query,
+      :access_token => :query,
+      :alt => :query,
+      :callback => :query,
+      :fields => :query,
+      :key => :query,
+      :oauth_token => :query,
+      :prettyPrint => :query,
+      :quotaUser => :query,
+      :uploadType => :query,
+      :upload_protocol => :query,
+      :body => :body
+    }
+
+    request =
+      Request.new()
+      |> Request.method(:post)
+      |> Request.url("/v1/{+location}:evaluateDataset", %{
+        "location" => URI.encode(location, &URI.char_unreserved?/1)
+      })
+      |> Request.add_optional_params(optional_params_config, optional_params)
+      |> Request.library_version(@library_version)
+
+    connection
+    |> Connection.execute(request)
+    |> Response.decode(
+      opts ++ [struct: %GoogleApi.AIPlatform.V1.Model.GoogleLongrunningOperation{}]
+    )
+  end
+
   @doc """
   Evaluates instances based on a given metric.
 

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

@@ -20,7 +20,7 @@ defmodule GoogleApi.AIPlatform.V1 do
   API client metadata for GoogleApi.AIPlatform.V1.
   """
 
-  @discovery_revision "20250205"
+  @discovery_revision "20250212"
 
   def discovery_revision(), do: @discovery_revision
 end

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_automatic_resources.ex

@@ -21,8 +21,8 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutomaticResource
 
   ## Attributes
 
-  *   `maxReplicaCount` (*type:* `integer()`, *default:* `nil`) - Immutable. The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
-  *   `minReplicaCount` (*type:* `integer()`, *default:* `nil`) - Immutable. The minimum number of replicas this DeployedModel will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
+  *   `maxReplicaCount` (*type:* `integer()`, *default:* `nil`) - Immutable. The maximum number of replicas that may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale to that many replicas is guaranteed (barring service outages). If traffic increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, a no upper bound for scaling under heavy traffic will be assume, though Vertex AI may be unable to scale beyond certain replica number.
+  *   `minReplicaCount` (*type:* `integer()`, *default:* `nil`) - Immutable. The minimum number of replicas that will be always deployed on. If traffic against it increases, it may dynamically be deployed onto more replicas up to max_replica_count, and as traffic decreases, some of these extra replicas may be freed. If the requested value is too large, the deployment will error.
   """
 
   use GoogleApi.Gax.ModelBase

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_cached_content.ex

@@ -25,7 +25,7 @@ defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1CachedContent do
   *   `createTime` (*type:* `DateTime.t`, *default:* `nil`) - Output only. Creation time of the cache entry.
   *   `displayName` (*type:* `String.t`, *default:* `nil`) - Optional. Immutable. The user-generated meaningful display name of the cached content.
   *   `expireTime` (*type:* `DateTime.t`, *default:* `nil`) - Timestamp of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.
-  *   `model` (*type:* `String.t`, *default:* `nil`) - Immutable. The name of the publisher model to use for cached content. Format: projects/{project}/locations/{location}/publishers/{publisher}/models/{model}
+  *   `model` (*type:* `String.t`, *default:* `nil`) - Immutable. The name of the `Model` to use for cached content. Currently, only the published Gemini base models are supported, in form of projects/{PROJECT}/locations/{LOCATION}/publishers/google/models/{MODEL}
   *   `name` (*type:* `String.t`, *default:* `nil`) - Immutable. Identifier. The server-generated resource name of the cached content Format: projects/{project}/locations/{location}/cachedContents/{cached_content}
   *   `systemInstruction` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1Content.t`, *default:* `nil`) - Optional. Input only. Immutable. Developer set system instruction. Currently, text only
   *   `toolConfig` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1ToolConfig.t`, *default:* `nil`) - Optional. Input only. Immutable. Tool config. This config is shared for all tools

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_dedicated_resources.ex

@@ -17,15 +17,15 @@
 
 defmodule GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1DedicatedResources do
   @moduledoc """
-  A description of resources that are dedicated to a DeployedModel, and that need a higher degree of manual configuration.
+  A description of resources that are dedicated to a DeployedModel or DeployedIndex, and that need a higher degree of manual configuration.
 
   ## Attributes
 
   *   `autoscalingMetricSpecs` (*type:* `list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoscalingMetricSpec.t)`, *default:* `nil`) - Immutable. The metric specifications that overrides a resource utilization metric (CPU utilization, accelerator's duty cycle, and so on) target value (default to 60 if not set). At most one entry is allowed per metric. If machine_spec.accelerator_count is above 0, the autoscaling will be based on both CPU utilization and accelerator's duty cycle metrics and scale up when either metrics exceeds its target value while scale down if both metrics are under their target value. The default target value is 60 for both metrics. If machine_spec.accelerator_count is 0, the autoscaling will be based on CPU utilization metric only with default target value 60 if not explicitly set. For example, in the case of Online Prediction, if you want to override target CPU utilization to 80, you should set autoscaling_metric_specs.metric_name to `aiplatform.googleapis.com/prediction/online/cpu/utilization` and autoscaling_metric_specs.target to `80`.
-  *   `machineSpec` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1MachineSpec.t`, *default:* `nil`) - Required. Immutable. The specification of a single machine used by the prediction.
-  *   `maxReplicaCount` (*type:* `integer()`, *default:* `nil`) - Immutable. The maximum number of replicas this DeployedModel may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale the model to that many replicas is guaranteed (barring service outages). If traffic against the DeployedModel increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use min_replica_count as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for (max_replica_count * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).
-  *   `minReplicaCount` (*type:* `integer()`, *default:* `nil`) - Required. Immutable. The minimum number of machine replicas this DeployedModel will be always deployed on. This value must be greater than or equal to 1. If traffic against the DeployedModel increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.
-  *   `requiredReplicaCount` (*type:* `integer()`, *default:* `nil`) - Optional. Number of required available replicas for the deployment to succeed. This field is only needed when partial model deployment/mutation is desired. If set, the model deploy/mutate operation will succeed once available_replica_count reaches required_replica_count, and the rest of the replicas will be retried. If not set, the default required_replica_count will be min_replica_count.
+  *   `machineSpec` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1MachineSpec.t`, *default:* `nil`) - Required. Immutable. The specification of a single machine being used.
+  *   `maxReplicaCount` (*type:* `integer()`, *default:* `nil`) - Immutable. The maximum number of replicas that may be deployed on when the traffic against it increases. If the requested value is too large, the deployment will error, but if deployment succeeds then the ability to scale to that many replicas is guaranteed (barring service outages). If traffic increases beyond what its replicas at maximum may handle, a portion of the traffic will be dropped. If this value is not provided, will use min_replica_count as the default value. The value of this field impacts the charge against Vertex CPU and GPU quotas. Specifically, you will be charged for (max_replica_count * number of cores in the selected machine type) and (max_replica_count * number of GPUs per replica in the selected machine type).
+  *   `minReplicaCount` (*type:* `integer()`, *default:* `nil`) - Required. Immutable. The minimum number of machine replicas that will be always deployed on. This value must be greater than or equal to 1. If traffic increases, it may dynamically be deployed onto more replicas, and as traffic decreases, some of these extra replicas may be freed.
+  *   `requiredReplicaCount` (*type:* `integer()`, *default:* `nil`) - Optional. Number of required available replicas for the deployment to succeed. This field is only needed when partial deployment/mutation is desired. If set, the deploy/mutate operation will succeed once available_replica_count reaches required_replica_count, and the rest of the replicas will be retried. If not set, the default required_replica_count will be min_replica_count.
   *   `spot` (*type:* `boolean()`, *default:* `nil`) - Optional. If true, schedule the deployment workload on [spot VMs](https://cloud.google.com/kubernetes-engine/docs/concepts/spot-vms).
   """
 

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_evaluate_dataset_request.ex

@@ -0,0 +1,64 @@
+# 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.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateDatasetRequest do
+  @moduledoc """
+  Request message for EvaluationService.EvaluateDataset.
+
+  ## Attributes
+
+  *   `autoraterConfig` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig.t`, *default:* `nil`) - Optional. Autorater config used for evaluation.
+  *   `dataset` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset.t`, *default:* `nil`) - Required. The dataset used for evaluation.
+  *   `metrics` (*type:* `list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1Metric.t)`, *default:* `nil`) - Required. The metrics used for evaluation.
+  *   `outputConfig` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1OutputConfig.t`, *default:* `nil`) - Required. Config for evaluation output.
+  """
+
+  use GoogleApi.Gax.ModelBase
+
+  @type t :: %__MODULE__{
+          :autoraterConfig =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig.t() | nil,
+          :dataset =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset.t() | nil,
+          :metrics => list(GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1Metric.t()) | nil,
+          :outputConfig =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1OutputConfig.t() | nil
+        }
+
+  field(:autoraterConfig, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1AutoraterConfig)
+
+  field(:dataset, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset)
+  field(:metrics, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1Metric, type: :list)
+  field(:outputConfig, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1OutputConfig)
+end
+
+defimpl Poison.Decoder,
+  for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateDatasetRequest do
+  def decode(value, options) do
+    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateDatasetRequest.decode(
+      value,
+      options
+    )
+  end
+end
+
+defimpl Poison.Encoder,
+  for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluateDatasetRequest do
+  def encode(value, options) do
+    GoogleApi.Gax.ModelBase.encode(value, options)
+  end
+end

clients/ai_platform/lib/google_api/ai_platform/v1/model/google_cloud_aiplatform_v1_evaluation_dataset.ex

@@ -0,0 +1,52 @@
+# 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.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset do
+  @moduledoc """
+  The dataset used for evaluation.
+
+  ## Attributes
+
+  *   `bigquerySource` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQuerySource.t`, *default:* `nil`) - BigQuery source holds the dataset.
+  *   `gcsSource` (*type:* `GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsSource.t`, *default:* `nil`) - Cloud storage source holds the dataset.
+  """
+
+  use GoogleApi.Gax.ModelBase
+
+  @type t :: %__MODULE__{
+          :bigquerySource =>
+            GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQuerySource.t() | nil,
+          :gcsSource => GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsSource.t() | nil
+        }
+
+  field(:bigquerySource, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1BigQuerySource)
+  field(:gcsSource, as: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1GcsSource)
+end
+
+defimpl Poison.Decoder,
+  for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset do
+  def decode(value, options) do
+    GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset.decode(value, options)
+  end
+end
+
+defimpl Poison.Encoder,
+  for: GoogleApi.AIPlatform.V1.Model.GoogleCloudAiplatformV1EvaluationDataset do
+  def encode(value, options) do
+    GoogleApi.Gax.ModelBase.encode(value, options)
+  end
+end