// 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.
// 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.

// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// 	protoc-gen-go v1.26.0
// 	protoc        v3.12.2
// source: google/cloud/aiplatform/v1/pipeline_job.proto

package aiplatform

import (
	reflect "reflect"
	sync "sync"

	_ "google.golang.org/genproto/googleapis/api/annotations"
	status "google.golang.org/genproto/googleapis/rpc/status"
	protoreflect "google.golang.org/protobuf/reflect/protoreflect"
	protoimpl "google.golang.org/protobuf/runtime/protoimpl"
	structpb "google.golang.org/protobuf/types/known/structpb"
	timestamppb "google.golang.org/protobuf/types/known/timestamppb"
)

const (
	// Verify that this generated code is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
	// Verify that runtime/protoimpl is sufficiently up-to-date.
	_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)

// Specifies state of TaskExecution
type PipelineTaskDetail_State int32

const (
	// Unspecified.
	PipelineTaskDetail_STATE_UNSPECIFIED PipelineTaskDetail_State = 0
	// Specifies pending state for the task.
	PipelineTaskDetail_PENDING PipelineTaskDetail_State = 1
	// Specifies task is being executed.
	PipelineTaskDetail_RUNNING PipelineTaskDetail_State = 2
	// Specifies task completed successfully.
	PipelineTaskDetail_SUCCEEDED PipelineTaskDetail_State = 3
	// Specifies Task cancel is in pending state.
	PipelineTaskDetail_CANCEL_PENDING PipelineTaskDetail_State = 4
	// Specifies task is being cancelled.
	PipelineTaskDetail_CANCELLING PipelineTaskDetail_State = 5
	// Specifies task was cancelled.
	PipelineTaskDetail_CANCELLED PipelineTaskDetail_State = 6
	// Specifies task failed.
	PipelineTaskDetail_FAILED PipelineTaskDetail_State = 7
	// Specifies task was skipped due to cache hit.
	PipelineTaskDetail_SKIPPED PipelineTaskDetail_State = 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.v1.PipelineJob.pipeline_spec].
	PipelineTaskDetail_NOT_TRIGGERED PipelineTaskDetail_State = 9
)

// Enum value maps for PipelineTaskDetail_State.
var (
	PipelineTaskDetail_State_name = map[int32]string{
		0: "STATE_UNSPECIFIED",
		1: "PENDING",
		2: "RUNNING",
		3: "SUCCEEDED",
		4: "CANCEL_PENDING",
		5: "CANCELLING",
		6: "CANCELLED",
		7: "FAILED",
		8: "SKIPPED",
		9: "NOT_TRIGGERED",
	}
	PipelineTaskDetail_State_value = map[string]int32{
		"STATE_UNSPECIFIED": 0,
		"PENDING":           1,
		"RUNNING":           2,
		"SUCCEEDED":         3,
		"CANCEL_PENDING":    4,
		"CANCELLING":        5,
		"CANCELLED":         6,
		"FAILED":            7,
		"SKIPPED":           8,
		"NOT_TRIGGERED":     9,
	}
)

func (x PipelineTaskDetail_State) Enum() *PipelineTaskDetail_State {
	p := new(PipelineTaskDetail_State)
	*p = x
	return p
}

func (x PipelineTaskDetail_State) String() string {
	return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}

func (PipelineTaskDetail_State) Descriptor() protoreflect.EnumDescriptor {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_enumTypes[0].Descriptor()
}

func (PipelineTaskDetail_State) Type() protoreflect.EnumType {
	return &file_google_cloud_aiplatform_v1_pipeline_job_proto_enumTypes[0]
}

func (x PipelineTaskDetail_State) Number() protoreflect.EnumNumber {
	return protoreflect.EnumNumber(x)
}

// Deprecated: Use PipelineTaskDetail_State.Descriptor instead.
func (PipelineTaskDetail_State) EnumDescriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{2, 0}
}

// An instance of a machine learning PipelineJob.
type PipelineJob struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. The resource name of the PipelineJob.
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// The display name of the Pipeline.
	// The name can be up to 128 characters long and can be consist of any UTF-8
	// characters.
	DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
	// Output only. Pipeline creation time.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Pipeline start time.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Pipeline end time.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. Timestamp when this PipelineJob was most recently updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Required. The spec of the pipeline.
	PipelineSpec *structpb.Struct `protobuf:"bytes,7,opt,name=pipeline_spec,json=pipelineSpec,proto3" json:"pipeline_spec,omitempty"`
	// Output only. The detailed state of the job.
	State PipelineState `protobuf:"varint,8,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineState" json:"state,omitempty"`
	// Output only. The details of pipeline run. Not available in the list view.
	JobDetail *PipelineJobDetail `protobuf:"bytes,9,opt,name=job_detail,json=jobDetail,proto3" json:"job_detail,omitempty"`
	// Output only. The error that occurred during pipeline execution.
	// Only populated when the pipeline's state is FAILED or CANCELLED.
	Error *status.Status `protobuf:"bytes,10,opt,name=error,proto3" json:"error,omitempty"`
	// 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.
	Labels map[string]string `protobuf:"bytes,11,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Runtime config of the pipeline.
	RuntimeConfig *PipelineJob_RuntimeConfig `protobuf:"bytes,12,opt,name=runtime_config,json=runtimeConfig,proto3" json:"runtime_config,omitempty"`
	// 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 *EncryptionSpec `protobuf:"bytes,16,opt,name=encryption_spec,json=encryptionSpec,proto3" json:"encryption_spec,omitempty"`
	// 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.
	ServiceAccount string `protobuf:"bytes,17,opt,name=service_account,json=serviceAccount,proto3" json:"service_account,omitempty"`
	// 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 GCP resources
	// being launched, if applied, such as Vertex AI
	// Training or Dataflow job. If left unspecified, the workload is not peered
	// with any network.
	Network string `protobuf:"bytes,18,opt,name=network,proto3" json:"network,omitempty"`
}

func (x *PipelineJob) Reset() {
	*x = PipelineJob{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[0]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineJob) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineJob) ProtoMessage() {}

func (x *PipelineJob) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[0]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineJob.ProtoReflect.Descriptor instead.
func (*PipelineJob) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{0}
}

func (x *PipelineJob) GetName() string {
	if x != nil {
		return x.Name
	}
	return ""
}

func (x *PipelineJob) GetDisplayName() string {
	if x != nil {
		return x.DisplayName
	}
	return ""
}

func (x *PipelineJob) GetCreateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.CreateTime
	}
	return nil
}

func (x *PipelineJob) GetStartTime() *timestamppb.Timestamp {
	if x != nil {
		return x.StartTime
	}
	return nil
}

func (x *PipelineJob) GetEndTime() *timestamppb.Timestamp {
	if x != nil {
		return x.EndTime
	}
	return nil
}

func (x *PipelineJob) GetUpdateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.UpdateTime
	}
	return nil
}

func (x *PipelineJob) GetPipelineSpec() *structpb.Struct {
	if x != nil {
		return x.PipelineSpec
	}
	return nil
}

func (x *PipelineJob) GetState() PipelineState {
	if x != nil {
		return x.State
	}
	return PipelineState_PIPELINE_STATE_UNSPECIFIED
}

func (x *PipelineJob) GetJobDetail() *PipelineJobDetail {
	if x != nil {
		return x.JobDetail
	}
	return nil
}

func (x *PipelineJob) GetError() *status.Status {
	if x != nil {
		return x.Error
	}
	return nil
}

func (x *PipelineJob) GetLabels() map[string]string {
	if x != nil {
		return x.Labels
	}
	return nil
}

func (x *PipelineJob) GetRuntimeConfig() *PipelineJob_RuntimeConfig {
	if x != nil {
		return x.RuntimeConfig
	}
	return nil
}

func (x *PipelineJob) GetEncryptionSpec() *EncryptionSpec {
	if x != nil {
		return x.EncryptionSpec
	}
	return nil
}

func (x *PipelineJob) GetServiceAccount() string {
	if x != nil {
		return x.ServiceAccount
	}
	return ""
}

func (x *PipelineJob) GetNetwork() string {
	if x != nil {
		return x.Network
	}
	return ""
}

// The runtime detail of PipelineJob.
type PipelineJobDetail struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. The context of the pipeline.
	PipelineContext *Context `protobuf:"bytes,1,opt,name=pipeline_context,json=pipelineContext,proto3" json:"pipeline_context,omitempty"`
	// Output only. The context of the current pipeline run.
	PipelineRunContext *Context `protobuf:"bytes,2,opt,name=pipeline_run_context,json=pipelineRunContext,proto3" json:"pipeline_run_context,omitempty"`
	// Output only. The runtime details of the tasks under the pipeline.
	TaskDetails []*PipelineTaskDetail `protobuf:"bytes,3,rep,name=task_details,json=taskDetails,proto3" json:"task_details,omitempty"`
}

func (x *PipelineJobDetail) Reset() {
	*x = PipelineJobDetail{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[1]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineJobDetail) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineJobDetail) ProtoMessage() {}

func (x *PipelineJobDetail) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[1]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineJobDetail.ProtoReflect.Descriptor instead.
func (*PipelineJobDetail) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{1}
}

func (x *PipelineJobDetail) GetPipelineContext() *Context {
	if x != nil {
		return x.PipelineContext
	}
	return nil
}

func (x *PipelineJobDetail) GetPipelineRunContext() *Context {
	if x != nil {
		return x.PipelineRunContext
	}
	return nil
}

func (x *PipelineJobDetail) GetTaskDetails() []*PipelineTaskDetail {
	if x != nil {
		return x.TaskDetails
	}
	return nil
}

// The runtime detail of a task execution.
type PipelineTaskDetail struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. The system generated ID of the task.
	TaskId int64 `protobuf:"varint,1,opt,name=task_id,json=taskId,proto3" json:"task_id,omitempty"`
	// 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.
	ParentTaskId int64 `protobuf:"varint,12,opt,name=parent_task_id,json=parentTaskId,proto3" json:"parent_task_id,omitempty"`
	// Output only. The user specified name of the task that is defined in
	// [PipelineJob.spec][].
	TaskName string `protobuf:"bytes,2,opt,name=task_name,json=taskName,proto3" json:"task_name,omitempty"`
	// Output only. Task create time.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Task start time.
	StartTime *timestamppb.Timestamp `protobuf:"bytes,4,opt,name=start_time,json=startTime,proto3" json:"start_time,omitempty"`
	// Output only. Task end time.
	EndTime *timestamppb.Timestamp `protobuf:"bytes,5,opt,name=end_time,json=endTime,proto3" json:"end_time,omitempty"`
	// Output only. The detailed execution info.
	ExecutorDetail *PipelineTaskExecutorDetail `protobuf:"bytes,6,opt,name=executor_detail,json=executorDetail,proto3" json:"executor_detail,omitempty"`
	// Output only. State of the task.
	State PipelineTaskDetail_State `protobuf:"varint,7,opt,name=state,proto3,enum=google.cloud.aiplatform.v1.PipelineTaskDetail_State" json:"state,omitempty"`
	// Output only. The execution metadata of the task.
	Execution *Execution `protobuf:"bytes,8,opt,name=execution,proto3" json:"execution,omitempty"`
	// Output only. The error that occurred during task execution.
	// Only populated when the task's state is FAILED or CANCELLED.
	Error *status.Status `protobuf:"bytes,9,opt,name=error,proto3" json:"error,omitempty"`
	// Output only. The runtime input artifacts of the task.
	Inputs map[string]*PipelineTaskDetail_ArtifactList `protobuf:"bytes,10,rep,name=inputs,proto3" json:"inputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// Output only. The runtime output artifacts of the task.
	Outputs map[string]*PipelineTaskDetail_ArtifactList `protobuf:"bytes,11,rep,name=outputs,proto3" json:"outputs,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
}

func (x *PipelineTaskDetail) Reset() {
	*x = PipelineTaskDetail{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[2]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineTaskDetail) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineTaskDetail) ProtoMessage() {}

func (x *PipelineTaskDetail) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[2]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineTaskDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskDetail) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{2}
}

func (x *PipelineTaskDetail) GetTaskId() int64 {
	if x != nil {
		return x.TaskId
	}
	return 0
}

func (x *PipelineTaskDetail) GetParentTaskId() int64 {
	if x != nil {
		return x.ParentTaskId
	}
	return 0
}

func (x *PipelineTaskDetail) GetTaskName() string {
	if x != nil {
		return x.TaskName
	}
	return ""
}

func (x *PipelineTaskDetail) GetCreateTime() *timestamppb.Timestamp {
	if x != nil {
		return x.CreateTime
	}
	return nil
}

func (x *PipelineTaskDetail) GetStartTime() *timestamppb.Timestamp {
	if x != nil {
		return x.StartTime
	}
	return nil
}

func (x *PipelineTaskDetail) GetEndTime() *timestamppb.Timestamp {
	if x != nil {
		return x.EndTime
	}
	return nil
}

func (x *PipelineTaskDetail) GetExecutorDetail() *PipelineTaskExecutorDetail {
	if x != nil {
		return x.ExecutorDetail
	}
	return nil
}

func (x *PipelineTaskDetail) GetState() PipelineTaskDetail_State {
	if x != nil {
		return x.State
	}
	return PipelineTaskDetail_STATE_UNSPECIFIED
}

func (x *PipelineTaskDetail) GetExecution() *Execution {
	if x != nil {
		return x.Execution
	}
	return nil
}

func (x *PipelineTaskDetail) GetError() *status.Status {
	if x != nil {
		return x.Error
	}
	return nil
}

func (x *PipelineTaskDetail) GetInputs() map[string]*PipelineTaskDetail_ArtifactList {
	if x != nil {
		return x.Inputs
	}
	return nil
}

func (x *PipelineTaskDetail) GetOutputs() map[string]*PipelineTaskDetail_ArtifactList {
	if x != nil {
		return x.Outputs
	}
	return nil
}

// The runtime detail of a pipeline executor.
type PipelineTaskExecutorDetail struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Types that are assignable to Details:
	//	*PipelineTaskExecutorDetail_ContainerDetail_
	//	*PipelineTaskExecutorDetail_CustomJobDetail_
	Details isPipelineTaskExecutorDetail_Details `protobuf_oneof:"details"`
}

func (x *PipelineTaskExecutorDetail) Reset() {
	*x = PipelineTaskExecutorDetail{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[3]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineTaskExecutorDetail) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineTaskExecutorDetail) ProtoMessage() {}

func (x *PipelineTaskExecutorDetail) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[3]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineTaskExecutorDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskExecutorDetail) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{3}
}

func (m *PipelineTaskExecutorDetail) GetDetails() isPipelineTaskExecutorDetail_Details {
	if m != nil {
		return m.Details
	}
	return nil
}

func (x *PipelineTaskExecutorDetail) GetContainerDetail() *PipelineTaskExecutorDetail_ContainerDetail {
	if x, ok := x.GetDetails().(*PipelineTaskExecutorDetail_ContainerDetail_); ok {
		return x.ContainerDetail
	}
	return nil
}

// Deprecated: Do not use.
func (x *PipelineTaskExecutorDetail) GetCustomJobDetail() *PipelineTaskExecutorDetail_CustomJobDetail {
	if x, ok := x.GetDetails().(*PipelineTaskExecutorDetail_CustomJobDetail_); ok {
		return x.CustomJobDetail
	}
	return nil
}

type isPipelineTaskExecutorDetail_Details interface {
	isPipelineTaskExecutorDetail_Details()
}

type PipelineTaskExecutorDetail_ContainerDetail_ struct {
	// Output only. The detailed info for a container executor.
	ContainerDetail *PipelineTaskExecutorDetail_ContainerDetail `protobuf:"bytes,1,opt,name=container_detail,json=containerDetail,proto3,oneof"`
}

type PipelineTaskExecutorDetail_CustomJobDetail_ struct {
	// Output only. The detailed info for a custom job executor.
	//
	// Deprecated: Do not use.
	CustomJobDetail *PipelineTaskExecutorDetail_CustomJobDetail `protobuf:"bytes,2,opt,name=custom_job_detail,json=customJobDetail,proto3,oneof"`
}

func (*PipelineTaskExecutorDetail_ContainerDetail_) isPipelineTaskExecutorDetail_Details() {}

func (*PipelineTaskExecutorDetail_CustomJobDetail_) isPipelineTaskExecutorDetail_Details() {}

// The runtime config of a PipelineJob.
type PipelineJob_RuntimeConfig struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// The runtime parameters of the PipelineJob. The parameters will be
	// passed into [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] to replace the placeholders
	// at runtime.
	Parameters map[string]*Value `protobuf:"bytes,1,rep,name=parameters,proto3" json:"parameters,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
	// 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.
	GcsOutputDirectory string `protobuf:"bytes,2,opt,name=gcs_output_directory,json=gcsOutputDirectory,proto3" json:"gcs_output_directory,omitempty"`
}

func (x *PipelineJob_RuntimeConfig) Reset() {
	*x = PipelineJob_RuntimeConfig{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[4]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineJob_RuntimeConfig) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineJob_RuntimeConfig) ProtoMessage() {}

func (x *PipelineJob_RuntimeConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[4]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineJob_RuntimeConfig.ProtoReflect.Descriptor instead.
func (*PipelineJob_RuntimeConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{0, 0}
}

func (x *PipelineJob_RuntimeConfig) GetParameters() map[string]*Value {
	if x != nil {
		return x.Parameters
	}
	return nil
}

func (x *PipelineJob_RuntimeConfig) GetGcsOutputDirectory() string {
	if x != nil {
		return x.GcsOutputDirectory
	}
	return ""
}

// A list of artifact metadata.
type PipelineTaskDetail_ArtifactList struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. A list of artifact metadata.
	Artifacts []*Artifact `protobuf:"bytes,1,rep,name=artifacts,proto3" json:"artifacts,omitempty"`
}

func (x *PipelineTaskDetail_ArtifactList) Reset() {
	*x = PipelineTaskDetail_ArtifactList{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[7]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineTaskDetail_ArtifactList) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineTaskDetail_ArtifactList) ProtoMessage() {}

func (x *PipelineTaskDetail_ArtifactList) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[7]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineTaskDetail_ArtifactList.ProtoReflect.Descriptor instead.
func (*PipelineTaskDetail_ArtifactList) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{2, 0}
}

func (x *PipelineTaskDetail_ArtifactList) GetArtifacts() []*Artifact {
	if x != nil {
		return x.Artifacts
	}
	return nil
}

// The detail of a container execution. It contains the job names of the
// lifecycle of a container execution.
type PipelineTaskExecutorDetail_ContainerDetail struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the main container execution.
	MainJob string `protobuf:"bytes,1,opt,name=main_job,json=mainJob,proto3" json:"main_job,omitempty"`
	// Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob] for the pre-caching-check container
	// execution. This job will be available if the
	// [PipelineJob.pipeline_spec][google.cloud.aiplatform.v1.PipelineJob.pipeline_spec] specifies the `pre_caching_check` hook in
	// the lifecycle events.
	PreCachingCheckJob string `protobuf:"bytes,2,opt,name=pre_caching_check_job,json=preCachingCheckJob,proto3" json:"pre_caching_check_job,omitempty"`
}

func (x *PipelineTaskExecutorDetail_ContainerDetail) Reset() {
	*x = PipelineTaskExecutorDetail_ContainerDetail{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[10]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineTaskExecutorDetail_ContainerDetail) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineTaskExecutorDetail_ContainerDetail) ProtoMessage() {}

func (x *PipelineTaskExecutorDetail_ContainerDetail) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[10]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineTaskExecutorDetail_ContainerDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskExecutorDetail_ContainerDetail) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{3, 0}
}

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetMainJob() string {
	if x != nil {
		return x.MainJob
	}
	return ""
}

func (x *PipelineTaskExecutorDetail_ContainerDetail) GetPreCachingCheckJob() string {
	if x != nil {
		return x.PreCachingCheckJob
	}
	return ""
}

// The detailed info for a custom job executor.
//
// Deprecated: Do not use.
type PipelineTaskExecutorDetail_CustomJobDetail struct {
	state         protoimpl.MessageState
	sizeCache     protoimpl.SizeCache
	unknownFields protoimpl.UnknownFields

	// Output only. The name of the [CustomJob][google.cloud.aiplatform.v1.CustomJob].
	Job string `protobuf:"bytes,1,opt,name=job,proto3" json:"job,omitempty"`
}

func (x *PipelineTaskExecutorDetail_CustomJobDetail) Reset() {
	*x = PipelineTaskExecutorDetail_CustomJobDetail{}
	if protoimpl.UnsafeEnabled {
		mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[11]
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		ms.StoreMessageInfo(mi)
	}
}

func (x *PipelineTaskExecutorDetail_CustomJobDetail) String() string {
	return protoimpl.X.MessageStringOf(x)
}

func (*PipelineTaskExecutorDetail_CustomJobDetail) ProtoMessage() {}

func (x *PipelineTaskExecutorDetail_CustomJobDetail) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[11]
	if protoimpl.UnsafeEnabled && x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use PipelineTaskExecutorDetail_CustomJobDetail.ProtoReflect.Descriptor instead.
func (*PipelineTaskExecutorDetail_CustomJobDetail) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP(), []int{3, 1}
}

func (x *PipelineTaskExecutorDetail_CustomJobDetail) GetJob() string {
	if x != nil {
		return x.Job
	}
	return ""
}

var File_google_cloud_aiplatform_v1_pipeline_job_proto protoreflect.FileDescriptor

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}

var (
	file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescData = file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDesc
)

func file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescData)
	})
	return file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDescData
}

var file_google_cloud_aiplatform_v1_pipeline_job_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes = make([]protoimpl.MessageInfo, 12)
var file_google_cloud_aiplatform_v1_pipeline_job_proto_goTypes = []interface{}{
	(PipelineTaskDetail_State)(0),           // 0: google.cloud.aiplatform.v1.PipelineTaskDetail.State
	(*PipelineJob)(nil),                     // 1: google.cloud.aiplatform.v1.PipelineJob
	(*PipelineJobDetail)(nil),               // 2: google.cloud.aiplatform.v1.PipelineJobDetail
	(*PipelineTaskDetail)(nil),              // 3: google.cloud.aiplatform.v1.PipelineTaskDetail
	(*PipelineTaskExecutorDetail)(nil),      // 4: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
	(*PipelineJob_RuntimeConfig)(nil),       // 5: google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
	nil,                                     // 6: google.cloud.aiplatform.v1.PipelineJob.LabelsEntry
	nil,                                     // 7: google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.ParametersEntry
	(*PipelineTaskDetail_ArtifactList)(nil), // 8: google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
	nil,                                     // 9: google.cloud.aiplatform.v1.PipelineTaskDetail.InputsEntry
	nil,                                     // 10: google.cloud.aiplatform.v1.PipelineTaskDetail.OutputsEntry
	(*PipelineTaskExecutorDetail_ContainerDetail)(nil), // 11: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
	(*PipelineTaskExecutorDetail_CustomJobDetail)(nil), // 12: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
	(*timestamppb.Timestamp)(nil),                      // 13: google.protobuf.Timestamp
	(*structpb.Struct)(nil),                            // 14: google.protobuf.Struct
	(PipelineState)(0),                                 // 15: google.cloud.aiplatform.v1.PipelineState
	(*status.Status)(nil),                              // 16: google.rpc.Status
	(*EncryptionSpec)(nil),                             // 17: google.cloud.aiplatform.v1.EncryptionSpec
	(*Context)(nil),                                    // 18: google.cloud.aiplatform.v1.Context
	(*Execution)(nil),                                  // 19: google.cloud.aiplatform.v1.Execution
	(*Value)(nil),                                      // 20: google.cloud.aiplatform.v1.Value
	(*Artifact)(nil),                                   // 21: google.cloud.aiplatform.v1.Artifact
}
var file_google_cloud_aiplatform_v1_pipeline_job_proto_depIdxs = []int32{
	13, // 0: google.cloud.aiplatform.v1.PipelineJob.create_time:type_name -> google.protobuf.Timestamp
	13, // 1: google.cloud.aiplatform.v1.PipelineJob.start_time:type_name -> google.protobuf.Timestamp
	13, // 2: google.cloud.aiplatform.v1.PipelineJob.end_time:type_name -> google.protobuf.Timestamp
	13, // 3: google.cloud.aiplatform.v1.PipelineJob.update_time:type_name -> google.protobuf.Timestamp
	14, // 4: google.cloud.aiplatform.v1.PipelineJob.pipeline_spec:type_name -> google.protobuf.Struct
	15, // 5: google.cloud.aiplatform.v1.PipelineJob.state:type_name -> google.cloud.aiplatform.v1.PipelineState
	2,  // 6: google.cloud.aiplatform.v1.PipelineJob.job_detail:type_name -> google.cloud.aiplatform.v1.PipelineJobDetail
	16, // 7: google.cloud.aiplatform.v1.PipelineJob.error:type_name -> google.rpc.Status
	6,  // 8: google.cloud.aiplatform.v1.PipelineJob.labels:type_name -> google.cloud.aiplatform.v1.PipelineJob.LabelsEntry
	5,  // 9: google.cloud.aiplatform.v1.PipelineJob.runtime_config:type_name -> google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig
	17, // 10: google.cloud.aiplatform.v1.PipelineJob.encryption_spec:type_name -> google.cloud.aiplatform.v1.EncryptionSpec
	18, // 11: google.cloud.aiplatform.v1.PipelineJobDetail.pipeline_context:type_name -> google.cloud.aiplatform.v1.Context
	18, // 12: google.cloud.aiplatform.v1.PipelineJobDetail.pipeline_run_context:type_name -> google.cloud.aiplatform.v1.Context
	3,  // 13: google.cloud.aiplatform.v1.PipelineJobDetail.task_details:type_name -> google.cloud.aiplatform.v1.PipelineTaskDetail
	13, // 14: google.cloud.aiplatform.v1.PipelineTaskDetail.create_time:type_name -> google.protobuf.Timestamp
	13, // 15: google.cloud.aiplatform.v1.PipelineTaskDetail.start_time:type_name -> google.protobuf.Timestamp
	13, // 16: google.cloud.aiplatform.v1.PipelineTaskDetail.end_time:type_name -> google.protobuf.Timestamp
	4,  // 17: google.cloud.aiplatform.v1.PipelineTaskDetail.executor_detail:type_name -> google.cloud.aiplatform.v1.PipelineTaskExecutorDetail
	0,  // 18: google.cloud.aiplatform.v1.PipelineTaskDetail.state:type_name -> google.cloud.aiplatform.v1.PipelineTaskDetail.State
	19, // 19: google.cloud.aiplatform.v1.PipelineTaskDetail.execution:type_name -> google.cloud.aiplatform.v1.Execution
	16, // 20: google.cloud.aiplatform.v1.PipelineTaskDetail.error:type_name -> google.rpc.Status
	9,  // 21: google.cloud.aiplatform.v1.PipelineTaskDetail.inputs:type_name -> google.cloud.aiplatform.v1.PipelineTaskDetail.InputsEntry
	10, // 22: google.cloud.aiplatform.v1.PipelineTaskDetail.outputs:type_name -> google.cloud.aiplatform.v1.PipelineTaskDetail.OutputsEntry
	11, // 23: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.container_detail:type_name -> google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.ContainerDetail
	12, // 24: google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.custom_job_detail:type_name -> google.cloud.aiplatform.v1.PipelineTaskExecutorDetail.CustomJobDetail
	7,  // 25: google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.parameters:type_name -> google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.ParametersEntry
	20, // 26: google.cloud.aiplatform.v1.PipelineJob.RuntimeConfig.ParametersEntry.value:type_name -> google.cloud.aiplatform.v1.Value
	21, // 27: google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList.artifacts:type_name -> google.cloud.aiplatform.v1.Artifact
	8,  // 28: google.cloud.aiplatform.v1.PipelineTaskDetail.InputsEntry.value:type_name -> google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
	8,  // 29: google.cloud.aiplatform.v1.PipelineTaskDetail.OutputsEntry.value:type_name -> google.cloud.aiplatform.v1.PipelineTaskDetail.ArtifactList
	30, // [30:30] is the sub-list for method output_type
	30, // [30:30] is the sub-list for method input_type
	30, // [30:30] is the sub-list for extension type_name
	30, // [30:30] is the sub-list for extension extendee
	0,  // [0:30] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1_pipeline_job_proto_init() }
func file_google_cloud_aiplatform_v1_pipeline_job_proto_init() {
	if File_google_cloud_aiplatform_v1_pipeline_job_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1_artifact_proto_init()
	file_google_cloud_aiplatform_v1_context_proto_init()
	file_google_cloud_aiplatform_v1_encryption_spec_proto_init()
	file_google_cloud_aiplatform_v1_execution_proto_init()
	file_google_cloud_aiplatform_v1_pipeline_state_proto_init()
	file_google_cloud_aiplatform_v1_value_proto_init()
	if !protoimpl.UnsafeEnabled {
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineJob); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineJobDetail); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineTaskDetail); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineTaskExecutorDetail); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineJob_RuntimeConfig); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineTaskDetail_ArtifactList); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineTaskExecutorDetail_ContainerDetail); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
		file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
			switch v := v.(*PipelineTaskExecutorDetail_CustomJobDetail); i {
			case 0:
				return &v.state
			case 1:
				return &v.sizeCache
			case 2:
				return &v.unknownFields
			default:
				return nil
			}
		}
	}
	file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes[3].OneofWrappers = []interface{}{
		(*PipelineTaskExecutorDetail_ContainerDetail_)(nil),
		(*PipelineTaskExecutorDetail_CustomJobDetail_)(nil),
	}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDesc,
			NumEnums:      1,
			NumMessages:   12,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1_pipeline_job_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1_pipeline_job_proto_depIdxs,
		EnumInfos:         file_google_cloud_aiplatform_v1_pipeline_job_proto_enumTypes,
		MessageInfos:      file_google_cloud_aiplatform_v1_pipeline_job_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1_pipeline_job_proto = out.File
	file_google_cloud_aiplatform_v1_pipeline_job_proto_rawDesc = nil
	file_google_cloud_aiplatform_v1_pipeline_job_proto_goTypes = nil
	file_google_cloud_aiplatform_v1_pipeline_job_proto_depIdxs = nil
}
