Add 'Model.encryption_config' (via synth). (googleapis#9214)

* Add 'Model.encryption_config' (via synth).

bigquery/google/cloud/bigquery_v2/proto/encryption_config.proto

@@ -0,0 +1,33 @@
+// 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.
+//
+
+syntax = "proto3";
+
+package google.cloud.bigquery.v2;
+
+import "google/api/field_behavior.proto";
+import "google/protobuf/wrappers.proto";
+import "google/api/annotations.proto";
+
+option go_package = "google.golang.org/genproto/googleapis/cloud/bigquery/v2;bigquery";
+option java_outer_classname = "EncryptionConfigProto";
+option java_package = "com.google.cloud.bigquery.v2";
+
+message EncryptionConfiguration {
+  // Optional. Describes the Cloud KMS encryption key that will be used to
+  // protect destination BigQuery table. The BigQuery Service Account associated
+  // with your project requires access to this encryption key.
+  google.protobuf.StringValue kms_key_name = 1 [(google.api.field_behavior) = OPTIONAL];
+}

bigquery/google/cloud/bigquery_v2/proto/encryption_config_pb2_grpc.py

@@ -0,0 +1,2 @@
+# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
+import grpc

bigquery/google/cloud/bigquery_v2/proto/model.proto

@@ -17,13 +17,15 @@ syntax = "proto3";
 
 package google.cloud.bigquery.v2;
 
+import "google/api/client.proto";
+import "google/api/field_behavior.proto";
+import "google/cloud/bigquery/v2/encryption_config.proto";
 import "google/cloud/bigquery/v2/model_reference.proto";
 import "google/cloud/bigquery/v2/standard_sql.proto";
 import "google/protobuf/empty.proto";
 import "google/protobuf/timestamp.proto";
 import "google/protobuf/wrappers.proto";
 import "google/api/annotations.proto";
-import "google/api/client.proto";
 
 option go_package = "google.golang.org/genproto/googleapis/cloud/bigquery/v2;bigquery";
 option java_outer_classname = "ModelProto";
@@ -39,19 +41,23 @@ service ModelService {
 
   // Gets the specified model resource by model ID.
   rpc GetModel(GetModelRequest) returns (Model) {
+    option (google.api.method_signature) = "project_id,dataset_id,model_id";
   }
 
   // Lists all models in the specified dataset. Requires the READER dataset
   // role.
   rpc ListModels(ListModelsRequest) returns (ListModelsResponse) {
+    option (google.api.method_signature) = "project_id,dataset_id,max_results";
   }
 
   // Patch specific fields in the specified model.
   rpc PatchModel(PatchModelRequest) returns (Model) {
+    option (google.api.method_signature) = "project_id,dataset_id,model_id,model";
   }
 
   // Deletes the model specified by modelId from the dataset.
   rpc DeleteModel(DeleteModelRequest) returns (google.protobuf.Empty) {
+    option (google.api.method_signature) = "project_id,dataset_id,model_id";
   }
 }
 
@@ -236,7 +242,7 @@ message Model {
 
           // Counts of all categories for the categorical feature. If there are
           // more than ten categories, we return top ten (by count) and return
-          // one more CategoryCount with category ‘_OTHER_’ and count as
+          // one more CategoryCount with category "_OTHER_" and count as
           // aggregate counts of remaining categories.
           repeated CategoryCount category_counts = 1;
         }
@@ -514,103 +520,105 @@ message Model {
   }
 
   // Output only. A hash of this resource.
-  string etag = 1;
+  string etag = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Required. Unique identifier for this model.
-  ModelReference model_reference = 2;
+  ModelReference model_reference = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Output only. The time when this model was created, in millisecs since the
-  // epoch.
-  int64 creation_time = 5;
+  // Output only. The time when this model was created, in millisecs since the epoch.
+  int64 creation_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. The time when this model was last modified, in millisecs
-  // since the epoch.
-  int64 last_modified_time = 6;
+  // Output only. The time when this model was last modified, in millisecs since the epoch.
+  int64 last_modified_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // [Optional] A user-friendly description of this model.
-  string description = 12;
+  // Optional. A user-friendly description of this model.
+  string description = 12 [(google.api.field_behavior) = OPTIONAL];
 
-  // [Optional] A descriptive name for this model.
-  string friendly_name = 14;
+  // Optional. A descriptive name for this model.
+  string friendly_name = 14 [(google.api.field_behavior) = OPTIONAL];
 
-  // [Optional] The labels associated with this model. You can use these to
-  // organize and group your models. Label keys and values can be no longer
+  // The labels associated with this model. You can use these to organize
+  // and group your models. Label keys and values can be no longer
   // than 63 characters, can only contain lowercase letters, numeric
   // characters, underscores and dashes. International characters are allowed.
   // Label values are optional. Label keys must start with a letter and each
   // label in the list must have a different key.
   map<string, string> labels = 15;
 
-  // [Optional] The time when this model expires, in milliseconds since the
-  // epoch. If not present, the model will persist indefinitely. Expired models
+  // Optional. The time when this model expires, in milliseconds since the epoch.
+  // If not present, the model will persist indefinitely. Expired models
   // will be deleted and their storage reclaimed.  The defaultTableExpirationMs
   // property of the encapsulating dataset can be used to set a default
   // expirationTime on newly created models.
-  int64 expiration_time = 16;
+  int64 expiration_time = 16 [(google.api.field_behavior) = OPTIONAL];
 
   // Output only. The geographic location where the model resides. This value
   // is inherited from the dataset.
-  string location = 13;
+  string location = 13 [(google.api.field_behavior) = OUTPUT_ONLY];
+
+  // Custom encryption configuration (e.g., Cloud KMS keys). This shows the
+  // encryption configuration of the model data while stored in BigQuery
+  // storage.
+  google.cloud.bigquery.v2.EncryptionConfiguration encryption_configuration = 17;
 
   // Output only. Type of the model resource.
-  ModelType model_type = 7;
+  ModelType model_type = 7 [(google.api.field_behavior) = OUTPUT_ONLY];
 
-  // Output only. Information for all training runs in increasing order of
-  // start_time.
-  repeated TrainingRun training_runs = 9;
+  // Output only. Information for all training runs in increasing order of start_time.
+  repeated TrainingRun training_runs = 9 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Input feature columns that were used to train this model.
-  repeated StandardSqlField feature_columns = 10;
+  repeated StandardSqlField feature_columns = 10 [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. Label columns that were used to train this model.
   // The output of the model will have a "predicted_" prefix to these columns.
-  repeated StandardSqlField label_columns = 11;
+  repeated StandardSqlField label_columns = 11 [(google.api.field_behavior) = OUTPUT_ONLY];
 }
 
 message GetModelRequest {
-  // Project ID of the requested model.
-  string project_id = 1;
+  // Required. Project ID of the requested model.
+  string project_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Dataset ID of the requested model.
-  string dataset_id = 2;
+  // Required. Dataset ID of the requested model.
+  string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Model ID of the requested model.
-  string model_id = 3;
+  // Required. Model ID of the requested model.
+  string model_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
 message PatchModelRequest {
-  // Project ID of the model to patch.
-  string project_id = 1;
+  // Required. Project ID of the model to patch.
+  string project_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Dataset ID of the model to patch.
-  string dataset_id = 2;
+  // Required. Dataset ID of the model to patch.
+  string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Model ID of the model to patch.
-  string model_id = 3;
+  // Required. Model ID of the model to patch.
+  string model_id = 3 [(google.api.field_behavior) = REQUIRED];
 
-  // Patched model.
+  // Required. Patched model.
   // Follows RFC5789 patch semantics. Missing fields are not updated.
   // To clear a field, explicitly set to default value.
-  Model model = 4;
+  Model model = 4 [(google.api.field_behavior) = REQUIRED];
 }
 
 message DeleteModelRequest {
-  // Project ID of the model to delete.
-  string project_id = 1;
+  // Required. Project ID of the model to delete.
+  string project_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Dataset ID of the model to delete.
-  string dataset_id = 2;
+  // Required. Dataset ID of the model to delete.
+  string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
 
-  // Model ID of the model to delete.
-  string model_id = 3;
+  // Required. Model ID of the model to delete.
+  string model_id = 3 [(google.api.field_behavior) = REQUIRED];
 }
 
 message ListModelsRequest {
-  // Project ID of the models to list.
-  string project_id = 1;
+  // Required. Project ID of the models to list.
+  string project_id = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Dataset ID of the models to list.
-  string dataset_id = 2;
+  // Required. Dataset ID of the models to list.
+  string dataset_id = 2 [(google.api.field_behavior) = REQUIRED];
 
   // The maximum number of results to return in a single response page.
   // Leverage the page tokens to iterate through the entire collection.