// Copyright 2023 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/field_behavior.proto"; import "google/api/resource.proto"; import "google/cloud/aiplatform/v1beta1/artifact.proto"; import "google/cloud/aiplatform/v1beta1/context.proto"; import "google/cloud/aiplatform/v1beta1/encryption_spec.proto"; import "google/cloud/aiplatform/v1beta1/execution.proto"; import "google/cloud/aiplatform/v1beta1/pipeline_failure_policy.proto"; import "google/cloud/aiplatform/v1beta1/pipeline_state.proto"; import "google/cloud/aiplatform/v1beta1/value.proto"; import "google/protobuf/struct.proto"; import "google/protobuf/timestamp.proto"; import "google/rpc/status.proto"; option csharp_namespace = "Google.Cloud.AIPlatform.V1Beta1"; option go_package = "cloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb;aiplatformpb"; option java_multiple_files = true; option java_outer_classname = "Pipeline"; option java_package = "com.google.cloud.aiplatform.v1beta1"; option php_namespace = "Google\\Cloud\\AIPlatform\\V1beta1"; option ruby_package = "Google::Cloud::AIPlatform::V1beta1"; option (google.api.resource_definition) = { type: "compute.googleapis.com/Network" pattern: "projects/{project}/global/networks/{network}" }; // An instance of a machine learning PipelineJob. message PipelineJob { option (google.api.resource) = { type: "aiplatform.googleapis.com/PipelineJob" pattern: "projects/{project}/locations/{location}/pipelineJobs/{pipeline_job}" }; // The runtime config of a PipelineJob. message RuntimeConfig { // The type of an input artifact. message InputArtifact { oneof kind { // Artifact resource id from MLMD. Which is the last portion of an // artifact resource name: // `projects/{project}/locations/{location}/metadataStores/default/artifacts/{artifact_id}`. // The artifact must stay within the same project, location and default // metadatastore as the pipeline. string artifact_id = 1; } } // Deprecated. Use // [RuntimeConfig.parameter_values][google.cloud.aiplatform.v1beta1.PipelineJob.RuntimeConfig.parameter_values] // instead. The runtime parameters of the PipelineJob. The parameters will // be passed into // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] // to replace the placeholders at runtime. This field is used by pipelines // built using `PipelineJob.pipeline_spec.schema_version` 2.0.0 or lower, // such as pipelines built using Kubeflow Pipelines SDK 1.8 or lower. map parameters = 1 [deprecated = true]; // Required. A path in a Cloud Storage bucket, which will be treated as the // root output directory of the pipeline. It is used by the system to // generate the paths of output artifacts. The artifact paths are generated // with a sub-path pattern `{job_id}/{task_id}/{output_key}` under the // specified output directory. The service account specified in this // pipeline must have the `storage.objects.get` and `storage.objects.create` // permissions for this bucket. string gcs_output_directory = 2 [(google.api.field_behavior) = REQUIRED]; // The runtime parameters of the PipelineJob. The parameters will be // passed into // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] // to replace the placeholders at runtime. This field is used by pipelines // built using `PipelineJob.pipeline_spec.schema_version` 2.1.0, such as // pipelines built using Kubeflow Pipelines SDK 1.9 or higher and the v2 // DSL. map parameter_values = 3; // Represents the failure policy of a pipeline. Currently, the default of a // pipeline is that the pipeline will continue to run until no more tasks // can be executed, also known as PIPELINE_FAILURE_POLICY_FAIL_SLOW. // However, if a pipeline is set to PIPELINE_FAILURE_POLICY_FAIL_FAST, it // will stop scheduling any new tasks when a task has failed. Any scheduled // tasks will continue to completion. PipelineFailurePolicy failure_policy = 4; // The runtime artifacts of the PipelineJob. The key will be the input // artifact name and the value would be one of the InputArtifact. map input_artifacts = 5; } // Output only. The resource name of the PipelineJob. string name = 1 [(google.api.field_behavior) = OUTPUT_ONLY]; // The display name of the Pipeline. // The name can be up to 128 characters long and can consist of any UTF-8 // characters. string display_name = 2; // Output only. Pipeline creation time. google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Pipeline start time. google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Pipeline end time. google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Timestamp when this PipelineJob was most recently updated. google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY]; // The spec of the pipeline. google.protobuf.Struct pipeline_spec = 7; // Output only. The detailed state of the job. PipelineState state = 8 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The details of pipeline run. Not available in the list view. PipelineJobDetail job_detail = 9 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The error that occurred during pipeline execution. // Only populated when the pipeline's state is FAILED or CANCELLED. google.rpc.Status error = 10 [(google.api.field_behavior) = OUTPUT_ONLY]; // The labels with user-defined metadata to organize PipelineJob. // // Label keys and values can be no longer than 64 characters // (Unicode codepoints), can only contain lowercase letters, numeric // characters, underscores and dashes. International characters are allowed. // // See https://goo.gl/xmQnxf for more information and examples of labels. // // Note there is some reserved label key for Vertex AI Pipelines. // - `vertex-ai-pipelines-run-billing-id`, user set value will get overrided. map labels = 11; // Runtime config of the pipeline. RuntimeConfig runtime_config = 12; // Customer-managed encryption key spec for a pipelineJob. If set, this // PipelineJob and all of its sub-resources will be secured by this key. EncryptionSpec encryption_spec = 16; // The service account that the pipeline workload runs as. // If not specified, the Compute Engine default service account in the project // will be used. // See // https://cloud.google.com/compute/docs/access/service-accounts#default_service_account // // Users starting the pipeline must have the `iam.serviceAccounts.actAs` // permission on this service account. string service_account = 17; // The full name of the Compute Engine // [network](/compute/docs/networks-and-firewalls#networks) to which the // Pipeline Job's workload should be peered. For example, // `projects/12345/global/networks/myVPC`. // [Format](/compute/docs/reference/rest/v1/networks/insert) // is of the form `projects/{project}/global/networks/{network}`. // Where {project} is a project number, as in `12345`, and {network} is a // network name. // // Private services access must already be configured for the network. // Pipeline job will apply the network configuration to the Google Cloud // resources being launched, if applied, such as Vertex AI // Training or Dataflow job. If left unspecified, the workload is not peered // with any network. string network = 18 [ (google.api.resource_reference) = { type: "compute.googleapis.com/Network" } ]; // A list of names for the reserved ip ranges under the VPC network // that can be used for this Pipeline Job's workload. // // If set, we will deploy the Pipeline Job's workload within the provided ip // ranges. Otherwise, the job will be deployed to any ip ranges under the // provided VPC network. // // Example: ['vertex-ai-ip-range']. repeated string reserved_ip_ranges = 25; // A template uri from where the // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec], // if empty, will be downloaded. string template_uri = 19; // Output only. Pipeline template metadata. Will fill up fields if // [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] // is from supported template registry. PipelineTemplateMetadata template_metadata = 20 [(google.api.field_behavior) = OUTPUT_ONLY]; } // Pipeline template metadata if // [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] // is from supported template registry. Currently, the only supported registry // is Artifact Registry. message PipelineTemplateMetadata { // The version_name in artifact registry. // // Will always be presented in output if the // [PipelineJob.template_uri][google.cloud.aiplatform.v1beta1.PipelineJob.template_uri] // is from supported template registry. // // Format is "sha256:abcdef123456...". string version = 3; } // The runtime detail of PipelineJob. message PipelineJobDetail { // Output only. The context of the pipeline. Context pipeline_context = 1 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The context of the current pipeline run. Context pipeline_run_context = 2 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The runtime details of the tasks under the pipeline. repeated PipelineTaskDetail task_details = 3 [(google.api.field_behavior) = OUTPUT_ONLY]; } // The runtime detail of a task execution. message PipelineTaskDetail { // A single record of the task status. message PipelineTaskStatus { // Output only. Update time of this status. google.protobuf.Timestamp update_time = 1 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The state of the task. State state = 2 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The error that occurred during the state. May be set when // the state is any of the non-final state (PENDING/RUNNING/CANCELLING) or // FAILED state. If the state is FAILED, the error here is final and not // going to be retried. If the state is a non-final state, the error // indicates a system-error being retried. google.rpc.Status error = 3 [(google.api.field_behavior) = OUTPUT_ONLY]; } // A list of artifact metadata. message ArtifactList { // Output only. A list of artifact metadata. repeated Artifact artifacts = 1 [(google.api.field_behavior) = OUTPUT_ONLY]; } // Specifies state of TaskExecution enum State { // Unspecified. STATE_UNSPECIFIED = 0; // Specifies pending state for the task. PENDING = 1; // Specifies task is being executed. RUNNING = 2; // Specifies task completed successfully. SUCCEEDED = 3; // Specifies Task cancel is in pending state. CANCEL_PENDING = 4; // Specifies task is being cancelled. CANCELLING = 5; // Specifies task was cancelled. CANCELLED = 6; // Specifies task failed. FAILED = 7; // Specifies task was skipped due to cache hit. SKIPPED = 8; // Specifies that the task was not triggered because the task's trigger // policy is not satisfied. The trigger policy is specified in the // `condition` field of // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]. NOT_TRIGGERED = 9; } // Output only. The system generated ID of the task. int64 task_id = 1 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The id of the parent task if the task is within a component // scope. Empty if the task is at the root level. int64 parent_task_id = 12 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The user specified name of the task that is defined in // [pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec]. string task_name = 2 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Task create time. google.protobuf.Timestamp create_time = 3 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Task start time. google.protobuf.Timestamp start_time = 4 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Task end time. google.protobuf.Timestamp end_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The detailed execution info. PipelineTaskExecutorDetail executor_detail = 6 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. State of the task. State state = 7 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The execution metadata of the task. Execution execution = 8 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The error that occurred during task execution. // Only populated when the task's state is FAILED or CANCELLED. google.rpc.Status error = 9 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. A list of task status. This field keeps a record of task // status evolving over time. repeated PipelineTaskStatus pipeline_task_status = 13 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The runtime input artifacts of the task. map inputs = 10 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The runtime output artifacts of the task. map outputs = 11 [(google.api.field_behavior) = OUTPUT_ONLY]; } // The runtime detail of a pipeline executor. message PipelineTaskExecutorDetail { // The detail of a container execution. It contains the job names of the // lifecycle of a container execution. message ContainerDetail { // Output only. The name of the // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main // container execution. string main_job = 1 [ (google.api.field_behavior) = OUTPUT_ONLY, (google.api.resource_reference) = { type: "aiplatform.googleapis.com/CustomJob" } ]; // Output only. The name of the // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the // pre-caching-check container execution. This job will be available if the // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] // specifies the `pre_caching_check` hook in the lifecycle events. string pre_caching_check_job = 2 [ (google.api.field_behavior) = OUTPUT_ONLY, (google.api.resource_reference) = { type: "aiplatform.googleapis.com/CustomJob" } ]; // Output only. The names of the previously failed // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the main // container executions. The list includes the all attempts in chronological // order. repeated string failed_main_jobs = 3 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The names of the previously failed // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob] for the // pre-caching-check container executions. This job will be available if the // [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1beta1.PipelineJob.pipeline_spec] // specifies the `pre_caching_check` hook in the lifecycle events. The list // includes the all attempts in chronological order. repeated string failed_pre_caching_check_jobs = 4 [(google.api.field_behavior) = OUTPUT_ONLY]; } // The detailed info for a custom job executor. message CustomJobDetail { // Output only. The name of the // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob]. string job = 1 [ (google.api.field_behavior) = OUTPUT_ONLY, (google.api.resource_reference) = { type: "aiplatform.googleapis.com/CustomJob" } ]; // Output only. The names of the previously failed // [CustomJob][google.cloud.aiplatform.v1beta1.CustomJob]. The list includes // the all attempts in chronological order. repeated string failed_jobs = 3 [(google.api.field_behavior) = OUTPUT_ONLY]; } oneof details { // Output only. The detailed info for a container executor. ContainerDetail container_detail = 1 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The detailed info for a custom job executor. CustomJobDetail custom_job_detail = 2 [(google.api.field_behavior) = OUTPUT_ONLY]; } }