private/google/cloud/aiplatform/v1beta1/pipeline_service.proto
// Copyright 2020 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.aiplatform.v1beta1;
import "google/api/annotations.proto";
import "google/api/client.proto";
import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/aiplatform/v1beta1/training_pipeline.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/empty.proto";
import "google/protobuf/field_mask.proto";
option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
option java_multiple_files = true;
option java_outer_classname = "PipelineServiceProto";
option java_package = "com.google.cloud.aiplatform.v1beta1";
// A service for creating and managing AI Platform's pipelines.
service PipelineService {
option (google.api.default_host) = "aiplatform.googleapis.com";
option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";
// Creates a TrainingPipeline. A created TrainingPipeline right away will be
// attempted to be run.
rpc CreateTrainingPipeline(CreateTrainingPipelineRequest) returns (TrainingPipeline) {
option (google.api.http) = {
post: "/v1beta1/{parent=projects/*/locations/*}/trainingPipelines"
body: "training_pipeline"
};
option (google.api.method_signature) = "parent,training_pipeline";
}
// Gets a TrainingPipeline.
rpc GetTrainingPipeline(GetTrainingPipelineRequest) returns (TrainingPipeline) {
option (google.api.http) = {
get: "/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}"
};
option (google.api.method_signature) = "name";
}
// Lists TrainingPipelines in a Location.
rpc ListTrainingPipelines(ListTrainingPipelinesRequest) returns (ListTrainingPipelinesResponse) {
option (google.api.http) = {
get: "/v1beta1/{parent=projects/*/locations/*}/trainingPipelines"
};
option (google.api.method_signature) = "parent";
}
// Deletes a TrainingPipeline.
rpc DeleteTrainingPipeline(DeleteTrainingPipelineRequest) returns (google.longrunning.Operation) {
option (google.api.http) = {
delete: "/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}"
};
option (google.api.method_signature) = "name";
option (google.longrunning.operation_info) = {
response_type: "google.protobuf.Empty"
metadata_type: "DeleteOperationMetadata"
};
}
// Cancels a TrainingPipeline.
// Starts asynchronous cancellation on the TrainingPipeline. The server
// makes a best effort to cancel the pipeline, but success is not
// guaranteed. Clients can use [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline] or
// other methods to check whether the cancellation succeeded or whether the
// pipeline completed despite cancellation. On successful cancellation,
// the TrainingPipeline is not deleted; instead it becomes a pipeline with
// a [TrainingPipeline.error][google.cloud.aiplatform.v1beta1.TrainingPipeline.error] value with a [google.rpc.Status.code][google.rpc.Status.code] of 1,
// corresponding to `Code.CANCELLED`, and [TrainingPipeline.state][google.cloud.aiplatform.v1beta1.TrainingPipeline.state] is set to
// `CANCELLED`.
rpc CancelTrainingPipeline(CancelTrainingPipelineRequest) returns (google.protobuf.Empty) {
option (google.api.http) = {
post: "/v1beta1/{name=projects/*/locations/*/trainingPipelines/*}:cancel"
body: "*"
};
option (google.api.method_signature) = "name";
}
}
// Request message for [PipelineService.CreateTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CreateTrainingPipeline].
message CreateTrainingPipelineRequest {
// Required. The resource name of the Location to create the TrainingPipeline in.
// Format: `projects/{project}/locations/{location}`
string parent = 1 [
(google.api.field_behavior) = REQUIRED,
(google.api.resource_reference) = {
type: "locations.googleapis.com/Location"
}
];
// Required. The TrainingPipeline to create.
TrainingPipeline training_pipeline = 2 [(google.api.field_behavior) = REQUIRED];
}
// Request message for [PipelineService.GetTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.GetTrainingPipeline].
message GetTrainingPipelineRequest {
// Required. The name of the TrainingPipeline resource.
// Format:
//
// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
string name = 1 [
(google.api.field_behavior) = REQUIRED,
(google.api.resource_reference) = {
type: "aiplatform.googleapis.com/TrainingPipeline"
}
];
}
// Request message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines].
message ListTrainingPipelinesRequest {
// Required. The resource name of the Location to list the TrainingPipelines from.
// Format: `projects/{project}/locations/{location}`
string parent = 1 [
(google.api.field_behavior) = REQUIRED,
(google.api.resource_reference) = {
type: "locations.googleapis.com/Location"
}
];
// The standard list filter.
// Supported fields:
//
// * `display_name` supports = and !=.
//
// * `state` supports = and !=.
//
// Some examples of using the filter are:
//
// * `state="PIPELINE_STATE_SUCCEEDED" AND display_name="my_pipeline"`
//
// * `state="PIPELINE_STATE_RUNNING" OR display_name="my_pipeline"`
//
// * `NOT display_name="my_pipeline"`
//
// * `state="PIPELINE_STATE_FAILED"`
string filter = 2;
// The standard list page size.
int32 page_size = 3;
// The standard list page token.
// Typically obtained via
// [ListTrainingPipelinesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesResponse.next_page_token] of the previous
// [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines] call.
string page_token = 4;
// Mask specifying which fields to read.
google.protobuf.FieldMask read_mask = 5;
}
// Response message for [PipelineService.ListTrainingPipelines][google.cloud.aiplatform.v1beta1.PipelineService.ListTrainingPipelines]
message ListTrainingPipelinesResponse {
// List of TrainingPipelines in the requested page.
repeated TrainingPipeline training_pipelines = 1;
// A token to retrieve next page of results.
// Pass to [ListTrainingPipelinesRequest.page_token][google.cloud.aiplatform.v1beta1.ListTrainingPipelinesRequest.page_token] to obtain that page.
string next_page_token = 2;
}
// Request message for [PipelineService.DeleteTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.DeleteTrainingPipeline].
message DeleteTrainingPipelineRequest {
// Required. The name of the TrainingPipeline resource to be deleted.
// Format:
//
// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
string name = 1 [
(google.api.field_behavior) = REQUIRED,
(google.api.resource_reference) = {
type: "aiplatform.googleapis.com/TrainingPipeline"
}
];
}
// Request message for [PipelineService.CancelTrainingPipeline][google.cloud.aiplatform.v1beta1.PipelineService.CancelTrainingPipeline].
message CancelTrainingPipelineRequest {
// Required. The name of the TrainingPipeline to cancel.
// Format:
//
// `projects/{project}/locations/{location}/trainingPipelines/{training_pipeline}`
string name = 1 [
(google.api.field_behavior) = REQUIRED,
(google.api.resource_reference) = {
type: "aiplatform.googleapis.com/TrainingPipeline"
}
];
}