chore: migrate to owl bot (#461)

Author: SurferJeffAtGoogle

packages/google-cloud-dataproc/synth.py renamed to packages/google-cloud-dataproc/.github/.OwlBot.yaml

@@ -1,4 +1,4 @@
-# Copyright 2018 Google LLC
+# Copyright 2021 Google LLC
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -11,23 +11,13 @@
 # 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.
+docker:
+  image: gcr.io/repo-automation-bots/owlbot-nodejs:latest
 
-import synthtool as s
-import synthtool.gcp as gcp
-import synthtool.languages.node as node
+deep-remove-regex:
+  - /owl-bot-staging
 
-gapic = gcp.GAPICBazel()
-versions = ['v1', 'v1beta2']
-for version in versions:
-    library = gapic.node_library('dataproc', version)
-    s.copy(
-        library,
-        excludes=['package.json', 'src/index.ts', ]
-    )
+deep-copy-regex:
+  - source: /google/cloud/dataproc/(.*)/.*-nodejs/(.*)
+    dest: /owl-bot-staging/$1/$2
 
-common_templates = gcp.CommonTemplates()
-templates = common_templates.node_library(
-    source_location='build/src', versions=versions, default_version='v1')
-s.copy(templates)
-
-node.postprocess_gapic_library()

packages/google-cloud-dataproc/.repo-metadata.json

@@ -1,13 +1,14 @@
 {
-  "name": "dataproc",
-  "name_pretty": "Google Cloud Dataproc",
-  "product_documentation": "https://cloud.google.com/dataproc",
   "client_documentation": "https://googleapis.dev/nodejs/dataproc/latest",
-  "issue_tracker": "https://issuetracker.google.com/savedsearches/559745",
+  "api_id": "dataproc.googleapis.com",
+  "distribution_name": "@google-cloud/dataproc",
   "release_level": "ga",
+  "default_version": "v1",
   "language": "nodejs",
+  "name_pretty": "Google Cloud Dataproc",
   "repo": "googleapis/nodejs-dataproc",
-  "distribution_name": "@google-cloud/dataproc",
-  "api_id": "dataproc.googleapis.com",
-  "requires_billing": true
+  "product_documentation": "https://cloud.google.com/dataproc",
+  "requires_billing": true,
+  "name": "dataproc",
+  "issue_tracker": "https://issuetracker.google.com/savedsearches/559745"
 }

packages/google-cloud-dataproc/protos/google/cloud/dataproc/v1beta2/autoscaling_policies.proto

@@ -36,10 +36,12 @@ option (google.api.resource_definition) = {
 // Cloud Dataproc API.
 service AutoscalingPolicyService {
   option (google.api.default_host) = "dataproc.googleapis.com";
-  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
+  option (google.api.oauth_scopes) =
+      "https://www.googleapis.com/auth/cloud-platform";
 
   // Creates new autoscaling policy.
-  rpc CreateAutoscalingPolicy(CreateAutoscalingPolicyRequest) returns (AutoscalingPolicy) {
+  rpc CreateAutoscalingPolicy(CreateAutoscalingPolicyRequest)
+      returns (AutoscalingPolicy) {
     option (google.api.http) = {
       post: "/v1beta2/{parent=projects/*/locations/*}/autoscalingPolicies"
       body: "policy"
@@ -55,7 +57,8 @@ service AutoscalingPolicyService {
   //
   // Disabled check for update_mask, because all updates will be full
   // replacements.
-  rpc UpdateAutoscalingPolicy(UpdateAutoscalingPolicyRequest) returns (AutoscalingPolicy) {
+  rpc UpdateAutoscalingPolicy(UpdateAutoscalingPolicyRequest)
+      returns (AutoscalingPolicy) {
     option (google.api.http) = {
       put: "/v1beta2/{policy.name=projects/*/locations/*/autoscalingPolicies/*}"
       body: "policy"
@@ -68,7 +71,8 @@ service AutoscalingPolicyService {
   }
 
   // Retrieves autoscaling policy.
-  rpc GetAutoscalingPolicy(GetAutoscalingPolicyRequest) returns (AutoscalingPolicy) {
+  rpc GetAutoscalingPolicy(GetAutoscalingPolicyRequest)
+      returns (AutoscalingPolicy) {
     option (google.api.http) = {
       get: "/v1beta2/{name=projects/*/locations/*/autoscalingPolicies/*}"
       additional_bindings {
@@ -79,7 +83,8 @@ service AutoscalingPolicyService {
   }
 
   // Lists autoscaling policies in the project.
-  rpc ListAutoscalingPolicies(ListAutoscalingPoliciesRequest) returns (ListAutoscalingPoliciesResponse) {
+  rpc ListAutoscalingPolicies(ListAutoscalingPoliciesRequest)
+      returns (ListAutoscalingPoliciesResponse) {
     option (google.api.http) = {
       get: "/v1beta2/{parent=projects/*/locations/*}/autoscalingPolicies"
       additional_bindings {
@@ -91,7 +96,8 @@ service AutoscalingPolicyService {
 
   // Deletes an autoscaling policy. It is an error to delete an autoscaling
   // policy that is in use by one or more clusters.
-  rpc DeleteAutoscalingPolicy(DeleteAutoscalingPolicyRequest) returns (google.protobuf.Empty) {
+  rpc DeleteAutoscalingPolicy(DeleteAutoscalingPolicyRequest)
+      returns (google.protobuf.Empty) {
     option (google.api.http) = {
       delete: "/v1beta2/{name=projects/*/locations/*/autoscalingPolicies/*}"
       additional_bindings {
@@ -136,22 +142,26 @@ message AutoscalingPolicy {
   }
 
   // Required. Describes how the autoscaler will operate for primary workers.
-  InstanceGroupAutoscalingPolicyConfig worker_config = 4 [(google.api.field_behavior) = REQUIRED];
+  InstanceGroupAutoscalingPolicyConfig worker_config = 4
+      [(google.api.field_behavior) = REQUIRED];
 
   // Optional. Describes how the autoscaler will operate for secondary workers.
-  InstanceGroupAutoscalingPolicyConfig secondary_worker_config = 5 [(google.api.field_behavior) = OPTIONAL];
+  InstanceGroupAutoscalingPolicyConfig secondary_worker_config = 5
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
 // Basic algorithm for autoscaling.
 message BasicAutoscalingAlgorithm {
   // Required. YARN autoscaling configuration.
-  BasicYarnAutoscalingConfig yarn_config = 1 [(google.api.field_behavior) = REQUIRED];
+  BasicYarnAutoscalingConfig yarn_config = 1
+      [(google.api.field_behavior) = REQUIRED];
 
   // Optional. Duration between scaling events. A scaling period starts after
   // the update operation from the previous event has completed.
   //
   // Bounds: [2m, 1d]. Default: 2m.
-  google.protobuf.Duration cooldown_period = 2 [(google.api.field_behavior) = OPTIONAL];
+  google.protobuf.Duration cooldown_period = 2
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
 // Basic autoscaling configurations for YARN.
@@ -162,22 +172,29 @@ message BasicYarnAutoscalingConfig {
   // downscaling operations.
   //
   // Bounds: [0s, 1d].
-  google.protobuf.Duration graceful_decommission_timeout = 5 [(google.api.field_behavior) = REQUIRED];
-
-  // Required. Fraction of average pending memory in the last cooldown period
-  // for which to add workers. A scale-up factor of 1.0 will result in scaling
-  // up so that there is no pending memory remaining after the update (more
-  // aggressive scaling). A scale-up factor closer to 0 will result in a smaller
-  // magnitude of scaling up (less aggressive scaling).
+  google.protobuf.Duration graceful_decommission_timeout = 5
+      [(google.api.field_behavior) = REQUIRED];
+
+  // Required. Fraction of average YARN pending memory in the last cooldown
+  // period for which to add workers. A scale-up factor of 1.0 will result in
+  // scaling up so that there is no pending memory remaining after the update
+  // (more aggressive scaling). A scale-up factor closer to 0 will result in a
+  // smaller magnitude of scaling up (less aggressive scaling). See [How
+  // autoscaling
+  // works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
+  // for more information.
   //
   // Bounds: [0.0, 1.0].
   double scale_up_factor = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. Fraction of average pending memory in the last cooldown period
-  // for which to remove workers. A scale-down factor of 1 will result in
+  // Required. Fraction of average YARN pending memory in the last cooldown
+  // period for which to remove workers. A scale-down factor of 1 will result in
   // scaling down so that there is no available memory remaining after the
   // update (more aggressive scaling). A scale-down factor of 0 disables
   // removing workers, which can be beneficial for autoscaling a single job.
+  // See [How autoscaling
+  // works](https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/autoscaling#how_autoscaling_works)
+  // for more information.
   //
   // Bounds: [0.0, 1.0].
   double scale_down_factor = 2 [(google.api.field_behavior) = REQUIRED];
@@ -189,7 +206,8 @@ message BasicYarnAutoscalingConfig {
   // on any recommended change.
   //
   // Bounds: [0.0, 1.0]. Default: 0.0.
-  double scale_up_min_worker_fraction = 3 [(google.api.field_behavior) = OPTIONAL];
+  double scale_up_min_worker_fraction = 3
+      [(google.api.field_behavior) = OPTIONAL];
 
   // Optional. Minimum scale-down threshold as a fraction of total cluster size
   // before scaling occurs. For example, in a 20-worker cluster, a threshold of
@@ -198,7 +216,8 @@ message BasicYarnAutoscalingConfig {
   // on any recommended change.
   //
   // Bounds: [0.0, 1.0]. Default: 0.0.
-  double scale_down_min_worker_fraction = 4 [(google.api.field_behavior) = OPTIONAL];
+  double scale_down_min_worker_fraction = 4
+      [(google.api.field_behavior) = OPTIONAL];
 }
 
 // Configuration for the size bounds of an instance group, including its
@@ -341,7 +360,8 @@ message ListAutoscalingPoliciesRequest {
 // A response to a request to list autoscaling policies in a project.
 message ListAutoscalingPoliciesResponse {
   // Output only. Autoscaling policies list.
-  repeated AutoscalingPolicy policies = 1 [(google.api.field_behavior) = OUTPUT_ONLY];
+  repeated AutoscalingPolicy policies = 1
+      [(google.api.field_behavior) = OUTPUT_ONLY];
 
   // Output only. This token is included in the response if there are more
   // results to fetch.