// Copyright 2025 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 v1.36.11
// 	protoc        v6.33.2
// source: google/cloud/aiplatform/v1beta1/feature_monitor.proto

package aiplatformpb

import (
	reflect "reflect"
	sync "sync"
	unsafe "unsafe"

	_ "google.golang.org/genproto/googleapis/api/annotations"
	interval "google.golang.org/genproto/googleapis/type/interval"
	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)
)

// Vertex AI Feature Monitor.
type FeatureMonitor struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Identifier. Name of the FeatureMonitor. Format:
	// `projects/{project}/locations/{location}/featureGroups/{featureGroup}/featureMonitors/{featureMonitor}`
	Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
	// Output only. Timestamp when this FeatureMonitor was created.
	CreateTime *timestamppb.Timestamp `protobuf:"bytes,2,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
	// Output only. Timestamp when this FeatureMonitor was last updated.
	UpdateTime *timestamppb.Timestamp `protobuf:"bytes,3,opt,name=update_time,json=updateTime,proto3" json:"update_time,omitempty"`
	// Optional. Used to perform consistent read-modify-write updates. If not set,
	// a blind "overwrite" update happens.
	Etag string `protobuf:"bytes,4,opt,name=etag,proto3" json:"etag,omitempty"`
	// Optional. The labels with user-defined metadata to organize your
	// FeatureMonitor.
	//
	// 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 on and examples of labels.
	// No more than 64 user labels can be associated with one
	// FeatureMonitor(System labels are excluded)." System reserved label keys
	// are prefixed with "aiplatform.googleapis.com/" and are immutable.
	Labels map[string]string `protobuf:"bytes,5,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key" protobuf_val:"bytes,2,opt,name=value"`
	// Optional. Description of the FeatureMonitor.
	Description string `protobuf:"bytes,6,opt,name=description,proto3" json:"description,omitempty"`
	// Required. Schedule config for the FeatureMonitor.
	ScheduleConfig *ScheduleConfig `protobuf:"bytes,7,opt,name=schedule_config,json=scheduleConfig,proto3" json:"schedule_config,omitempty"`
	// Required. Feature selection config for the FeatureMonitor.
	FeatureSelectionConfig *FeatureSelectionConfig `protobuf:"bytes,8,opt,name=feature_selection_config,json=featureSelectionConfig,proto3" json:"feature_selection_config,omitempty"`
	unknownFields          protoimpl.UnknownFields
	sizeCache              protoimpl.SizeCache
}

func (x *FeatureMonitor) Reset() {
	*x = FeatureMonitor{}
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[0]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*FeatureMonitor) ProtoMessage() {}

func (x *FeatureMonitor) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[0]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use FeatureMonitor.ProtoReflect.Descriptor instead.
func (*FeatureMonitor) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP(), []int{0}
}

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

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

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

func (x *FeatureMonitor) GetEtag() string {
	if x != nil {
		return x.Etag
	}
	return ""
}

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

func (x *FeatureMonitor) GetDescription() string {
	if x != nil {
		return x.Description
	}
	return ""
}

func (x *FeatureMonitor) GetScheduleConfig() *ScheduleConfig {
	if x != nil {
		return x.ScheduleConfig
	}
	return nil
}

func (x *FeatureMonitor) GetFeatureSelectionConfig() *FeatureSelectionConfig {
	if x != nil {
		return x.FeatureSelectionConfig
	}
	return nil
}

// Schedule configuration for the FeatureMonitor.
type ScheduleConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled
	// runs. To explicitly set a timezone to the cron tab, apply a prefix in
	// the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}".
	// The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone
	// database. For example, "CRON_TZ=America/New_York 1 * * * *", or
	// "TZ=America/New_York 1 * * * *".
	Cron          string `protobuf:"bytes,1,opt,name=cron,proto3" json:"cron,omitempty"`
	unknownFields protoimpl.UnknownFields
	sizeCache     protoimpl.SizeCache
}

func (x *ScheduleConfig) Reset() {
	*x = ScheduleConfig{}
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[1]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*ScheduleConfig) ProtoMessage() {}

func (x *ScheduleConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[1]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use ScheduleConfig.ProtoReflect.Descriptor instead.
func (*ScheduleConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP(), []int{1}
}

func (x *ScheduleConfig) GetCron() string {
	if x != nil {
		return x.Cron
	}
	return ""
}

// Feature selection configuration for the FeatureMonitor.
type FeatureSelectionConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Optional. A list of features to be monitored and each feature's drift
	// threshold.
	FeatureConfigs []*FeatureSelectionConfig_FeatureConfig `protobuf:"bytes,1,rep,name=feature_configs,json=featureConfigs,proto3" json:"feature_configs,omitempty"`
	unknownFields  protoimpl.UnknownFields
	sizeCache      protoimpl.SizeCache
}

func (x *FeatureSelectionConfig) Reset() {
	*x = FeatureSelectionConfig{}
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[2]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*FeatureSelectionConfig) ProtoMessage() {}

func (x *FeatureSelectionConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[2]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use FeatureSelectionConfig.ProtoReflect.Descriptor instead.
func (*FeatureSelectionConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP(), []int{2}
}

func (x *FeatureSelectionConfig) GetFeatureConfigs() []*FeatureSelectionConfig_FeatureConfig {
	if x != nil {
		return x.FeatureConfigs
	}
	return nil
}

// Stats and Anomaly generated by FeatureMonitorJobs. Anomaly only includes
// Drift.
type FeatureStatsAndAnomaly struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Feature Id.
	FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// Feature stats. e.g. histogram buckets.
	// In the format of tensorflow.metadata.v0.DatasetFeatureStatistics.
	FeatureStats *structpb.Value `protobuf:"bytes,2,opt,name=feature_stats,json=featureStats,proto3" json:"feature_stats,omitempty"`
	// Deviation from the current stats to baseline stats.
	//  1. For categorical feature, the distribution distance is calculated by
	//     L-inifinity norm.
	//  2. For numerical feature, the distribution distance is calculated by
	//     Jensen–Shannon divergence.
	DistributionDeviation float64 `protobuf:"fixed64,3,opt,name=distribution_deviation,json=distributionDeviation,proto3" json:"distribution_deviation,omitempty"`
	// This is the threshold used when detecting drifts, which is set in
	// FeatureMonitor.FeatureSelectionConfig.FeatureConfig.drift_threshold
	DriftDetectionThreshold float64 `protobuf:"fixed64,4,opt,name=drift_detection_threshold,json=driftDetectionThreshold,proto3" json:"drift_detection_threshold,omitempty"`
	// If set to true, indicates current stats is detected as and comparing
	// with baseline stats.
	DriftDetected bool `protobuf:"varint,5,opt,name=drift_detected,json=driftDetected,proto3" json:"drift_detected,omitempty"`
	// The timestamp we take snapshot for feature values to generate stats.
	StatsTime *timestamppb.Timestamp `protobuf:"bytes,6,opt,name=stats_time,json=statsTime,proto3" json:"stats_time,omitempty"`
	// The ID of the FeatureMonitorJob that generated this FeatureStatsAndAnomaly.
	FeatureMonitorJobId int64 `protobuf:"varint,7,opt,name=feature_monitor_job_id,json=featureMonitorJobId,proto3" json:"feature_monitor_job_id,omitempty"`
	// The ID of the FeatureMonitor that this FeatureStatsAndAnomaly generated
	// according to.
	FeatureMonitorId string `protobuf:"bytes,8,opt,name=feature_monitor_id,json=featureMonitorId,proto3" json:"feature_monitor_id,omitempty"`
	unknownFields    protoimpl.UnknownFields
	sizeCache        protoimpl.SizeCache
}

func (x *FeatureStatsAndAnomaly) Reset() {
	*x = FeatureStatsAndAnomaly{}
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[3]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*FeatureStatsAndAnomaly) ProtoMessage() {}

func (x *FeatureStatsAndAnomaly) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[3]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use FeatureStatsAndAnomaly.ProtoReflect.Descriptor instead.
func (*FeatureStatsAndAnomaly) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP(), []int{3}
}

func (x *FeatureStatsAndAnomaly) GetFeatureId() string {
	if x != nil {
		return x.FeatureId
	}
	return ""
}

func (x *FeatureStatsAndAnomaly) GetFeatureStats() *structpb.Value {
	if x != nil {
		return x.FeatureStats
	}
	return nil
}

func (x *FeatureStatsAndAnomaly) GetDistributionDeviation() float64 {
	if x != nil {
		return x.DistributionDeviation
	}
	return 0
}

func (x *FeatureStatsAndAnomaly) GetDriftDetectionThreshold() float64 {
	if x != nil {
		return x.DriftDetectionThreshold
	}
	return 0
}

func (x *FeatureStatsAndAnomaly) GetDriftDetected() bool {
	if x != nil {
		return x.DriftDetected
	}
	return false
}

func (x *FeatureStatsAndAnomaly) GetStatsTime() *timestamppb.Timestamp {
	if x != nil {
		return x.StatsTime
	}
	return nil
}

func (x *FeatureStatsAndAnomaly) GetFeatureMonitorJobId() int64 {
	if x != nil {
		return x.FeatureMonitorJobId
	}
	return 0
}

func (x *FeatureStatsAndAnomaly) GetFeatureMonitorId() string {
	if x != nil {
		return x.FeatureMonitorId
	}
	return ""
}

// Defines how to select FeatureStatsAndAnomaly to be populated in response.
// If set, retrieves FeatureStatsAndAnomaly generated by FeatureMonitors based
// on this spec.
type FeatureStatsAndAnomalySpec struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Optional. If set, returns the most recent count of stats. Valid value is
	// [0, 100]. If stats_time_range is set, return most recent count of stats
	// within the stats_time_range.
	LatestStatsCount *int32 `protobuf:"varint,1,opt,name=latest_stats_count,json=latestStatsCount,proto3,oneof" json:"latest_stats_count,omitempty"`
	// Optional. If set, return all stats generated between [start_time,
	// end_time). If latest_stats_count is set, return the most recent count of
	// stats within the stats_time_range.
	StatsTimeRange *interval.Interval `protobuf:"bytes,2,opt,name=stats_time_range,json=statsTimeRange,proto3" json:"stats_time_range,omitempty"`
	unknownFields  protoimpl.UnknownFields
	sizeCache      protoimpl.SizeCache
}

func (x *FeatureStatsAndAnomalySpec) Reset() {
	*x = FeatureStatsAndAnomalySpec{}
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[4]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*FeatureStatsAndAnomalySpec) ProtoMessage() {}

func (x *FeatureStatsAndAnomalySpec) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[4]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use FeatureStatsAndAnomalySpec.ProtoReflect.Descriptor instead.
func (*FeatureStatsAndAnomalySpec) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP(), []int{4}
}

func (x *FeatureStatsAndAnomalySpec) GetLatestStatsCount() int32 {
	if x != nil && x.LatestStatsCount != nil {
		return *x.LatestStatsCount
	}
	return 0
}

func (x *FeatureStatsAndAnomalySpec) GetStatsTimeRange() *interval.Interval {
	if x != nil {
		return x.StatsTimeRange
	}
	return nil
}

// Feature configuration.
type FeatureSelectionConfig_FeatureConfig struct {
	state protoimpl.MessageState `protogen:"open.v1"`
	// Required. The ID of the feature resource. Final component of the
	// Feature's resource name.
	FeatureId string `protobuf:"bytes,1,opt,name=feature_id,json=featureId,proto3" json:"feature_id,omitempty"`
	// Optional. Drift threshold. If calculated difference with baseline data
	// larger than threshold, it will be considered as the feature has drift. If
	// not present, the threshold will be default to 0.3.
	DriftThreshold float64 `protobuf:"fixed64,2,opt,name=drift_threshold,json=driftThreshold,proto3" json:"drift_threshold,omitempty"`
	unknownFields  protoimpl.UnknownFields
	sizeCache      protoimpl.SizeCache
}

func (x *FeatureSelectionConfig_FeatureConfig) Reset() {
	*x = FeatureSelectionConfig_FeatureConfig{}
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[6]
	ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
	ms.StoreMessageInfo(mi)
}

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

func (*FeatureSelectionConfig_FeatureConfig) ProtoMessage() {}

func (x *FeatureSelectionConfig_FeatureConfig) ProtoReflect() protoreflect.Message {
	mi := &file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[6]
	if x != nil {
		ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
		if ms.LoadMessageInfo() == nil {
			ms.StoreMessageInfo(mi)
		}
		return ms
	}
	return mi.MessageOf(x)
}

// Deprecated: Use FeatureSelectionConfig_FeatureConfig.ProtoReflect.Descriptor instead.
func (*FeatureSelectionConfig_FeatureConfig) Descriptor() ([]byte, []int) {
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP(), []int{2, 0}
}

func (x *FeatureSelectionConfig_FeatureConfig) GetFeatureId() string {
	if x != nil {
		return x.FeatureId
	}
	return ""
}

func (x *FeatureSelectionConfig_FeatureConfig) GetDriftThreshold() float64 {
	if x != nil {
		return x.DriftThreshold
	}
	return 0
}

var File_google_cloud_aiplatform_v1beta1_feature_monitor_proto protoreflect.FileDescriptor

const file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDesc = "" +
	"\n" +
	"5google/cloud/aiplatform/v1beta1/feature_monitor.proto\x12\x1fgoogle.cloud.aiplatform.v1beta1\x1a\x1fgoogle/api/field_behavior.proto\x1a\x19google/api/resource.proto\x1a\x1cgoogle/protobuf/struct.proto\x1a\x1fgoogle/protobuf/timestamp.proto\x1a\x1agoogle/type/interval.proto\"\x94\x06\n" +
	"\x0eFeatureMonitor\x12\x17\n" +
	"\x04name\x18\x01 \x01(\tB\x03\xe0A\bR\x04name\x12@\n" +
	"\vcreate_time\x18\x02 \x01(\v2\x1a.google.protobuf.TimestampB\x03\xe0A\x03R\n" +
	"createTime\x12@\n" +
	"\vupdate_time\x18\x03 \x01(\v2\x1a.google.protobuf.TimestampB\x03\xe0A\x03R\n" +
	"updateTime\x12\x17\n" +
	"\x04etag\x18\x04 \x01(\tB\x03\xe0A\x01R\x04etag\x12X\n" +
	"\x06labels\x18\x05 \x03(\v2;.google.cloud.aiplatform.v1beta1.FeatureMonitor.LabelsEntryB\x03\xe0A\x01R\x06labels\x12%\n" +
	"\vdescription\x18\x06 \x01(\tB\x03\xe0A\x01R\vdescription\x12]\n" +
	"\x0fschedule_config\x18\a \x01(\v2/.google.cloud.aiplatform.v1beta1.ScheduleConfigB\x03\xe0A\x02R\x0escheduleConfig\x12v\n" +
	"\x18feature_selection_config\x18\b \x01(\v27.google.cloud.aiplatform.v1beta1.FeatureSelectionConfigB\x03\xe0A\x02R\x16featureSelectionConfig\x1a9\n" +
	"\vLabelsEntry\x12\x10\n" +
	"\x03key\x18\x01 \x01(\tR\x03key\x12\x14\n" +
	"\x05value\x18\x02 \x01(\tR\x05value:\x028\x01:\xb8\x01\xeaA\xb4\x01\n" +
	"(aiplatform.googleapis.com/FeatureMonitor\x12gprojects/{project}/locations/{location}/featureGroups/{feature_group}/featureMonitors/{feature_monitor}*\x0ffeatureMonitors2\x0efeatureMonitor\"$\n" +
	"\x0eScheduleConfig\x12\x12\n" +
	"\x04cron\x18\x01 \x01(\tR\x04cron\"\xf0\x01\n" +
	"\x16FeatureSelectionConfig\x12s\n" +
	"\x0ffeature_configs\x18\x01 \x03(\v2E.google.cloud.aiplatform.v1beta1.FeatureSelectionConfig.FeatureConfigB\x03\xe0A\x01R\x0efeatureConfigs\x1aa\n" +
	"\rFeatureConfig\x12\"\n" +
	"\n" +
	"feature_id\x18\x01 \x01(\tB\x03\xe0A\x02R\tfeatureId\x12,\n" +
	"\x0fdrift_threshold\x18\x02 \x01(\x01B\x03\xe0A\x01R\x0edriftThreshold\"\xac\x03\n" +
	"\x16FeatureStatsAndAnomaly\x12\x1d\n" +
	"\n" +
	"feature_id\x18\x01 \x01(\tR\tfeatureId\x12;\n" +
	"\rfeature_stats\x18\x02 \x01(\v2\x16.google.protobuf.ValueR\ffeatureStats\x125\n" +
	"\x16distribution_deviation\x18\x03 \x01(\x01R\x15distributionDeviation\x12:\n" +
	"\x19drift_detection_threshold\x18\x04 \x01(\x01R\x17driftDetectionThreshold\x12%\n" +
	"\x0edrift_detected\x18\x05 \x01(\bR\rdriftDetected\x129\n" +
	"\n" +
	"stats_time\x18\x06 \x01(\v2\x1a.google.protobuf.TimestampR\tstatsTime\x123\n" +
	"\x16feature_monitor_job_id\x18\a \x01(\x03R\x13featureMonitorJobId\x12,\n" +
	"\x12feature_monitor_id\x18\b \x01(\tR\x10featureMonitorId\"\xb1\x01\n" +
	"\x1aFeatureStatsAndAnomalySpec\x126\n" +
	"\x12latest_stats_count\x18\x01 \x01(\x05B\x03\xe0A\x01H\x00R\x10latestStatsCount\x88\x01\x01\x12D\n" +
	"\x10stats_time_range\x18\x02 \x01(\v2\x15.google.type.IntervalB\x03\xe0A\x01R\x0estatsTimeRangeB\x15\n" +
	"\x13_latest_stats_countB\xea\x01\n" +
	"#com.google.cloud.aiplatform.v1beta1B\x13FeatureMonitorProtoP\x01ZCcloud.google.com/go/aiplatform/apiv1beta1/aiplatformpb;aiplatformpb\xaa\x02\x1fGoogle.Cloud.AIPlatform.V1Beta1\xca\x02\x1fGoogle\\Cloud\\AIPlatform\\V1beta1\xea\x02\"Google::Cloud::AIPlatform::V1beta1b\x06proto3"

var (
	file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescOnce sync.Once
	file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescData []byte
)

func file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescGZIP() []byte {
	file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescOnce.Do(func() {
		file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescData = protoimpl.X.CompressGZIP(unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDesc), len(file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDesc)))
	})
	return file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDescData
}

var file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes = make([]protoimpl.MessageInfo, 7)
var file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_goTypes = []any{
	(*FeatureMonitor)(nil),                       // 0: google.cloud.aiplatform.v1beta1.FeatureMonitor
	(*ScheduleConfig)(nil),                       // 1: google.cloud.aiplatform.v1beta1.ScheduleConfig
	(*FeatureSelectionConfig)(nil),               // 2: google.cloud.aiplatform.v1beta1.FeatureSelectionConfig
	(*FeatureStatsAndAnomaly)(nil),               // 3: google.cloud.aiplatform.v1beta1.FeatureStatsAndAnomaly
	(*FeatureStatsAndAnomalySpec)(nil),           // 4: google.cloud.aiplatform.v1beta1.FeatureStatsAndAnomalySpec
	nil,                                          // 5: google.cloud.aiplatform.v1beta1.FeatureMonitor.LabelsEntry
	(*FeatureSelectionConfig_FeatureConfig)(nil), // 6: google.cloud.aiplatform.v1beta1.FeatureSelectionConfig.FeatureConfig
	(*timestamppb.Timestamp)(nil),                // 7: google.protobuf.Timestamp
	(*structpb.Value)(nil),                       // 8: google.protobuf.Value
	(*interval.Interval)(nil),                    // 9: google.type.Interval
}
var file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_depIdxs = []int32{
	7, // 0: google.cloud.aiplatform.v1beta1.FeatureMonitor.create_time:type_name -> google.protobuf.Timestamp
	7, // 1: google.cloud.aiplatform.v1beta1.FeatureMonitor.update_time:type_name -> google.protobuf.Timestamp
	5, // 2: google.cloud.aiplatform.v1beta1.FeatureMonitor.labels:type_name -> google.cloud.aiplatform.v1beta1.FeatureMonitor.LabelsEntry
	1, // 3: google.cloud.aiplatform.v1beta1.FeatureMonitor.schedule_config:type_name -> google.cloud.aiplatform.v1beta1.ScheduleConfig
	2, // 4: google.cloud.aiplatform.v1beta1.FeatureMonitor.feature_selection_config:type_name -> google.cloud.aiplatform.v1beta1.FeatureSelectionConfig
	6, // 5: google.cloud.aiplatform.v1beta1.FeatureSelectionConfig.feature_configs:type_name -> google.cloud.aiplatform.v1beta1.FeatureSelectionConfig.FeatureConfig
	8, // 6: google.cloud.aiplatform.v1beta1.FeatureStatsAndAnomaly.feature_stats:type_name -> google.protobuf.Value
	7, // 7: google.cloud.aiplatform.v1beta1.FeatureStatsAndAnomaly.stats_time:type_name -> google.protobuf.Timestamp
	9, // 8: google.cloud.aiplatform.v1beta1.FeatureStatsAndAnomalySpec.stats_time_range:type_name -> google.type.Interval
	9, // [9:9] is the sub-list for method output_type
	9, // [9:9] is the sub-list for method input_type
	9, // [9:9] is the sub-list for extension type_name
	9, // [9:9] is the sub-list for extension extendee
	0, // [0:9] is the sub-list for field type_name
}

func init() { file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_init() }
func file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_init() {
	if File_google_cloud_aiplatform_v1beta1_feature_monitor_proto != nil {
		return
	}
	file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes[4].OneofWrappers = []any{}
	type x struct{}
	out := protoimpl.TypeBuilder{
		File: protoimpl.DescBuilder{
			GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
			RawDescriptor: unsafe.Slice(unsafe.StringData(file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDesc), len(file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_rawDesc)),
			NumEnums:      0,
			NumMessages:   7,
			NumExtensions: 0,
			NumServices:   0,
		},
		GoTypes:           file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_goTypes,
		DependencyIndexes: file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_depIdxs,
		MessageInfos:      file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_msgTypes,
	}.Build()
	File_google_cloud_aiplatform_v1beta1_feature_monitor_proto = out.File
	file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_goTypes = nil
	file_google_cloud_aiplatform_v1beta1_feature_monitor_proto_depIdxs = nil
}
