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code / gocloud / 1d757c66478963d6cbbef13fee939632c742759c / . / aiplatform / apiv1 / aiplatformpb / featurestore_online_service.pb.go
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// 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.
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.33.0
// protoc v4.25.3
// source: google/cloud/aiplatform/v1/featurestore_online_service.proto
package aiplatformpb
import (
context "context"
reflect "reflect"
sync "sync"
_ "google.golang.org/genproto/googleapis/api/annotations"
grpc "google.golang.org/grpc"
codes "google.golang.org/grpc/codes"
status "google.golang.org/grpc/status"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
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)
)
// Request message for
// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
type WriteFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the EntityType for the entities being
// written. Value format:
// `projects/{project}/locations/{location}/featurestores/
// {featurestore}/entityTypes/{entityType}`. For example,
// for a machine learning model predicting user clicks on a website, an
// EntityType ID could be `user`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. The entities to be written. Up to 100,000 feature values can be
// written across all `payloads`.
Payloads []*WriteFeatureValuesPayload `protobuf:"bytes,2,rep,name=payloads,proto3" json:"payloads,omitempty"`
}
func (x *WriteFeatureValuesRequest) Reset() {
*x = WriteFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *WriteFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*WriteFeatureValuesRequest) ProtoMessage() {}
func (x *WriteFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 WriteFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*WriteFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{0}
}
func (x *WriteFeatureValuesRequest) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
func (x *WriteFeatureValuesRequest) GetPayloads() []*WriteFeatureValuesPayload {
if x != nil {
return x.Payloads
}
return nil
}
// Contains Feature values to be written for a specific entity.
type WriteFeatureValuesPayload struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The ID of the entity.
EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
// Required. Feature values to be written, mapping from Feature ID to value.
// Up to 100,000 `feature_values` entries may be written across all payloads.
// The feature generation time, aligned by days, must be no older than five
// years (1825 days) and no later than one year (366 days) in the future.
FeatureValues map[string]*FeatureValue `protobuf:"bytes,2,rep,name=feature_values,json=featureValues,proto3" json:"feature_values,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
}
func (x *WriteFeatureValuesPayload) Reset() {
*x = WriteFeatureValuesPayload{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *WriteFeatureValuesPayload) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*WriteFeatureValuesPayload) ProtoMessage() {}
func (x *WriteFeatureValuesPayload) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 WriteFeatureValuesPayload.ProtoReflect.Descriptor instead.
func (*WriteFeatureValuesPayload) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{1}
}
func (x *WriteFeatureValuesPayload) GetEntityId() string {
if x != nil {
return x.EntityId
}
return ""
}
func (x *WriteFeatureValuesPayload) GetFeatureValues() map[string]*FeatureValue {
if x != nil {
return x.FeatureValues
}
return nil
}
// Response message for
// [FeaturestoreOnlineServingService.WriteFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues].
type WriteFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
}
func (x *WriteFeatureValuesResponse) Reset() {
*x = WriteFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *WriteFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*WriteFeatureValuesResponse) ProtoMessage() {}
func (x *WriteFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 WriteFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*WriteFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{2}
}
// Request message for
// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
type ReadFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the EntityType for the entity being read.
// Value format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
// For example, for a machine learning model predicting user clicks on a
// website, an EntityType ID could be `user`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. ID for a specific entity. For example,
// for a machine learning model predicting user clicks on a website, an entity
// ID could be `user_123`.
EntityId string `protobuf:"bytes,2,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
// Required. Selector choosing Features of the target EntityType.
FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
}
func (x *ReadFeatureValuesRequest) Reset() {
*x = ReadFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ReadFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ReadFeatureValuesRequest) ProtoMessage() {}
func (x *ReadFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 ReadFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{3}
}
func (x *ReadFeatureValuesRequest) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
func (x *ReadFeatureValuesRequest) GetEntityId() string {
if x != nil {
return x.EntityId
}
return ""
}
func (x *ReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector {
if x != nil {
return x.FeatureSelector
}
return nil
}
// Response message for
// [FeaturestoreOnlineServingService.ReadFeatureValues][google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues].
type ReadFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Response header.
Header *ReadFeatureValuesResponse_Header `protobuf:"bytes,1,opt,name=header,proto3" json:"header,omitempty"`
// Entity view with Feature values. This may be the entity in the
// Featurestore if values for all Features were requested, or a projection
// of the entity in the Featurestore if values for only some Features were
// requested.
EntityView *ReadFeatureValuesResponse_EntityView `protobuf:"bytes,2,opt,name=entity_view,json=entityView,proto3" json:"entity_view,omitempty"`
}
func (x *ReadFeatureValuesResponse) Reset() {
*x = ReadFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ReadFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ReadFeatureValuesResponse) ProtoMessage() {}
func (x *ReadFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 ReadFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{4}
}
func (x *ReadFeatureValuesResponse) GetHeader() *ReadFeatureValuesResponse_Header {
if x != nil {
return x.Header
}
return nil
}
func (x *ReadFeatureValuesResponse) GetEntityView() *ReadFeatureValuesResponse_EntityView {
if x != nil {
return x.EntityView
}
return nil
}
// Request message for
// [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
type StreamingReadFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the entities' type.
// Value format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
// For example,
// for a machine learning model predicting user clicks on a website, an
// EntityType ID could be `user`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// Required. IDs of entities to read Feature values of. The maximum number of
// IDs is 100. For example, for a machine learning model predicting user
// clicks on a website, an entity ID could be `user_123`.
EntityIds []string `protobuf:"bytes,2,rep,name=entity_ids,json=entityIds,proto3" json:"entity_ids,omitempty"`
// Required. Selector choosing Features of the target EntityType. Feature IDs
// will be deduplicated.
FeatureSelector *FeatureSelector `protobuf:"bytes,3,opt,name=feature_selector,json=featureSelector,proto3" json:"feature_selector,omitempty"`
}
func (x *StreamingReadFeatureValuesRequest) Reset() {
*x = StreamingReadFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *StreamingReadFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*StreamingReadFeatureValuesRequest) ProtoMessage() {}
func (x *StreamingReadFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[5]
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 StreamingReadFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*StreamingReadFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{5}
}
func (x *StreamingReadFeatureValuesRequest) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
func (x *StreamingReadFeatureValuesRequest) GetEntityIds() []string {
if x != nil {
return x.EntityIds
}
return nil
}
func (x *StreamingReadFeatureValuesRequest) GetFeatureSelector() *FeatureSelector {
if x != nil {
return x.FeatureSelector
}
return nil
}
// Value for a feature.
type FeatureValue struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Value for the feature.
//
// Types that are assignable to Value:
//
// *FeatureValue_BoolValue
// *FeatureValue_DoubleValue
// *FeatureValue_Int64Value
// *FeatureValue_StringValue
// *FeatureValue_BoolArrayValue
// *FeatureValue_DoubleArrayValue
// *FeatureValue_Int64ArrayValue
// *FeatureValue_StringArrayValue
// *FeatureValue_BytesValue
Value isFeatureValue_Value `protobuf_oneof:"value"`
// Metadata of feature value.
Metadata *FeatureValue_Metadata `protobuf:"bytes,14,opt,name=metadata,proto3" json:"metadata,omitempty"`
}
func (x *FeatureValue) Reset() {
*x = FeatureValue{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[6]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureValue) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureValue) ProtoMessage() {}
func (x *FeatureValue) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[6]
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 FeatureValue.ProtoReflect.Descriptor instead.
func (*FeatureValue) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{6}
}
func (m *FeatureValue) GetValue() isFeatureValue_Value {
if m != nil {
return m.Value
}
return nil
}
func (x *FeatureValue) GetBoolValue() bool {
if x, ok := x.GetValue().(*FeatureValue_BoolValue); ok {
return x.BoolValue
}
return false
}
func (x *FeatureValue) GetDoubleValue() float64 {
if x, ok := x.GetValue().(*FeatureValue_DoubleValue); ok {
return x.DoubleValue
}
return 0
}
func (x *FeatureValue) GetInt64Value() int64 {
if x, ok := x.GetValue().(*FeatureValue_Int64Value); ok {
return x.Int64Value
}
return 0
}
func (x *FeatureValue) GetStringValue() string {
if x, ok := x.GetValue().(*FeatureValue_StringValue); ok {
return x.StringValue
}
return ""
}
func (x *FeatureValue) GetBoolArrayValue() *BoolArray {
if x, ok := x.GetValue().(*FeatureValue_BoolArrayValue); ok {
return x.BoolArrayValue
}
return nil
}
func (x *FeatureValue) GetDoubleArrayValue() *DoubleArray {
if x, ok := x.GetValue().(*FeatureValue_DoubleArrayValue); ok {
return x.DoubleArrayValue
}
return nil
}
func (x *FeatureValue) GetInt64ArrayValue() *Int64Array {
if x, ok := x.GetValue().(*FeatureValue_Int64ArrayValue); ok {
return x.Int64ArrayValue
}
return nil
}
func (x *FeatureValue) GetStringArrayValue() *StringArray {
if x, ok := x.GetValue().(*FeatureValue_StringArrayValue); ok {
return x.StringArrayValue
}
return nil
}
func (x *FeatureValue) GetBytesValue() []byte {
if x, ok := x.GetValue().(*FeatureValue_BytesValue); ok {
return x.BytesValue
}
return nil
}
func (x *FeatureValue) GetMetadata() *FeatureValue_Metadata {
if x != nil {
return x.Metadata
}
return nil
}
type isFeatureValue_Value interface {
isFeatureValue_Value()
}
type FeatureValue_BoolValue struct {
// Bool type feature value.
BoolValue bool `protobuf:"varint,1,opt,name=bool_value,json=boolValue,proto3,oneof"`
}
type FeatureValue_DoubleValue struct {
// Double type feature value.
DoubleValue float64 `protobuf:"fixed64,2,opt,name=double_value,json=doubleValue,proto3,oneof"`
}
type FeatureValue_Int64Value struct {
// Int64 feature value.
Int64Value int64 `protobuf:"varint,5,opt,name=int64_value,json=int64Value,proto3,oneof"`
}
type FeatureValue_StringValue struct {
// String feature value.
StringValue string `protobuf:"bytes,6,opt,name=string_value,json=stringValue,proto3,oneof"`
}
type FeatureValue_BoolArrayValue struct {
// A list of bool type feature value.
BoolArrayValue *BoolArray `protobuf:"bytes,7,opt,name=bool_array_value,json=boolArrayValue,proto3,oneof"`
}
type FeatureValue_DoubleArrayValue struct {
// A list of double type feature value.
DoubleArrayValue *DoubleArray `protobuf:"bytes,8,opt,name=double_array_value,json=doubleArrayValue,proto3,oneof"`
}
type FeatureValue_Int64ArrayValue struct {
// A list of int64 type feature value.
Int64ArrayValue *Int64Array `protobuf:"bytes,11,opt,name=int64_array_value,json=int64ArrayValue,proto3,oneof"`
}
type FeatureValue_StringArrayValue struct {
// A list of string type feature value.
StringArrayValue *StringArray `protobuf:"bytes,12,opt,name=string_array_value,json=stringArrayValue,proto3,oneof"`
}
type FeatureValue_BytesValue struct {
// Bytes feature value.
BytesValue []byte `protobuf:"bytes,13,opt,name=bytes_value,json=bytesValue,proto3,oneof"`
}
func (*FeatureValue_BoolValue) isFeatureValue_Value() {}
func (*FeatureValue_DoubleValue) isFeatureValue_Value() {}
func (*FeatureValue_Int64Value) isFeatureValue_Value() {}
func (*FeatureValue_StringValue) isFeatureValue_Value() {}
func (*FeatureValue_BoolArrayValue) isFeatureValue_Value() {}
func (*FeatureValue_DoubleArrayValue) isFeatureValue_Value() {}
func (*FeatureValue_Int64ArrayValue) isFeatureValue_Value() {}
func (*FeatureValue_StringArrayValue) isFeatureValue_Value() {}
func (*FeatureValue_BytesValue) isFeatureValue_Value() {}
// Container for list of values.
type FeatureValueList struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// A list of feature values. All of them should be the same data type.
Values []*FeatureValue `protobuf:"bytes,1,rep,name=values,proto3" json:"values,omitempty"`
}
func (x *FeatureValueList) Reset() {
*x = FeatureValueList{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureValueList) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureValueList) ProtoMessage() {}
func (x *FeatureValueList) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 FeatureValueList.ProtoReflect.Descriptor instead.
func (*FeatureValueList) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{7}
}
func (x *FeatureValueList) GetValues() []*FeatureValue {
if x != nil {
return x.Values
}
return nil
}
// Metadata for requested Features.
type ReadFeatureValuesResponse_FeatureDescriptor struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Feature ID.
Id string `protobuf:"bytes,1,opt,name=id,proto3" json:"id,omitempty"`
}
func (x *ReadFeatureValuesResponse_FeatureDescriptor) Reset() {
*x = ReadFeatureValuesResponse_FeatureDescriptor{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[9]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ReadFeatureValuesResponse_FeatureDescriptor) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ReadFeatureValuesResponse_FeatureDescriptor) ProtoMessage() {}
func (x *ReadFeatureValuesResponse_FeatureDescriptor) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[9]
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 ReadFeatureValuesResponse_FeatureDescriptor.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_FeatureDescriptor) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{4, 0}
}
func (x *ReadFeatureValuesResponse_FeatureDescriptor) GetId() string {
if x != nil {
return x.Id
}
return ""
}
// Response header with metadata for the requested
// [ReadFeatureValuesRequest.entity_type][google.cloud.aiplatform.v1.ReadFeatureValuesRequest.entity_type]
// and Features.
type ReadFeatureValuesResponse_Header struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The resource name of the EntityType from the
// [ReadFeatureValuesRequest][google.cloud.aiplatform.v1.ReadFeatureValuesRequest].
// Value format:
// `projects/{project}/locations/{location}/featurestores/{featurestore}/entityTypes/{entityType}`.
EntityType string `protobuf:"bytes,1,opt,name=entity_type,json=entityType,proto3" json:"entity_type,omitempty"`
// List of Feature metadata corresponding to each piece of
// [ReadFeatureValuesResponse.EntityView.data][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.data].
FeatureDescriptors []*ReadFeatureValuesResponse_FeatureDescriptor `protobuf:"bytes,2,rep,name=feature_descriptors,json=featureDescriptors,proto3" json:"feature_descriptors,omitempty"`
}
func (x *ReadFeatureValuesResponse_Header) Reset() {
*x = ReadFeatureValuesResponse_Header{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[10]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ReadFeatureValuesResponse_Header) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ReadFeatureValuesResponse_Header) ProtoMessage() {}
func (x *ReadFeatureValuesResponse_Header) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 ReadFeatureValuesResponse_Header.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_Header) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{4, 1}
}
func (x *ReadFeatureValuesResponse_Header) GetEntityType() string {
if x != nil {
return x.EntityType
}
return ""
}
func (x *ReadFeatureValuesResponse_Header) GetFeatureDescriptors() []*ReadFeatureValuesResponse_FeatureDescriptor {
if x != nil {
return x.FeatureDescriptors
}
return nil
}
// Entity view with Feature values.
type ReadFeatureValuesResponse_EntityView struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// ID of the requested entity.
EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
// Each piece of data holds the k
// requested values for one requested Feature. If no values
// for the requested Feature exist, the corresponding cell will be empty.
// This has the same size and is in the same order as the features from the
// header
// [ReadFeatureValuesResponse.header][google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header].
Data []*ReadFeatureValuesResponse_EntityView_Data `protobuf:"bytes,2,rep,name=data,proto3" json:"data,omitempty"`
}
func (x *ReadFeatureValuesResponse_EntityView) Reset() {
*x = ReadFeatureValuesResponse_EntityView{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[11]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ReadFeatureValuesResponse_EntityView) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ReadFeatureValuesResponse_EntityView) ProtoMessage() {}
func (x *ReadFeatureValuesResponse_EntityView) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_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 ReadFeatureValuesResponse_EntityView.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_EntityView) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{4, 2}
}
func (x *ReadFeatureValuesResponse_EntityView) GetEntityId() string {
if x != nil {
return x.EntityId
}
return ""
}
func (x *ReadFeatureValuesResponse_EntityView) GetData() []*ReadFeatureValuesResponse_EntityView_Data {
if x != nil {
return x.Data
}
return nil
}
// Container to hold value(s), successive in time, for one Feature from the
// request.
type ReadFeatureValuesResponse_EntityView_Data struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Data:
//
// *ReadFeatureValuesResponse_EntityView_Data_Value
// *ReadFeatureValuesResponse_EntityView_Data_Values
Data isReadFeatureValuesResponse_EntityView_Data_Data `protobuf_oneof:"data"`
}
func (x *ReadFeatureValuesResponse_EntityView_Data) Reset() {
*x = ReadFeatureValuesResponse_EntityView_Data{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[12]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ReadFeatureValuesResponse_EntityView_Data) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ReadFeatureValuesResponse_EntityView_Data) ProtoMessage() {}
func (x *ReadFeatureValuesResponse_EntityView_Data) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[12]
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 ReadFeatureValuesResponse_EntityView_Data.ProtoReflect.Descriptor instead.
func (*ReadFeatureValuesResponse_EntityView_Data) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{4, 2, 0}
}
func (m *ReadFeatureValuesResponse_EntityView_Data) GetData() isReadFeatureValuesResponse_EntityView_Data_Data {
if m != nil {
return m.Data
}
return nil
}
func (x *ReadFeatureValuesResponse_EntityView_Data) GetValue() *FeatureValue {
if x, ok := x.GetData().(*ReadFeatureValuesResponse_EntityView_Data_Value); ok {
return x.Value
}
return nil
}
func (x *ReadFeatureValuesResponse_EntityView_Data) GetValues() *FeatureValueList {
if x, ok := x.GetData().(*ReadFeatureValuesResponse_EntityView_Data_Values); ok {
return x.Values
}
return nil
}
type isReadFeatureValuesResponse_EntityView_Data_Data interface {
isReadFeatureValuesResponse_EntityView_Data_Data()
}
type ReadFeatureValuesResponse_EntityView_Data_Value struct {
// Feature value if a single value is requested.
Value *FeatureValue `protobuf:"bytes,1,opt,name=value,proto3,oneof"`
}
type ReadFeatureValuesResponse_EntityView_Data_Values struct {
// Feature values list if values, successive in time, are requested.
// If the requested number of values is greater than the number of
// existing Feature values, nonexistent values are omitted instead of
// being returned as empty.
Values *FeatureValueList `protobuf:"bytes,2,opt,name=values,proto3,oneof"`
}
func (*ReadFeatureValuesResponse_EntityView_Data_Value) isReadFeatureValuesResponse_EntityView_Data_Data() {
}
func (*ReadFeatureValuesResponse_EntityView_Data_Values) isReadFeatureValuesResponse_EntityView_Data_Data() {
}
// Metadata of feature value.
type FeatureValue_Metadata struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Feature generation timestamp. Typically, it is provided by user at
// feature ingestion time. If not, feature store
// will use the system timestamp when the data is ingested into feature
// store. For streaming ingestion, the time, aligned by days, must be no
// older than five years (1825 days) and no later than one year (366 days)
// in the future.
GenerateTime *timestamppb.Timestamp `protobuf:"bytes,1,opt,name=generate_time,json=generateTime,proto3" json:"generate_time,omitempty"`
}
func (x *FeatureValue_Metadata) Reset() {
*x = FeatureValue_Metadata{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[13]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureValue_Metadata) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureValue_Metadata) ProtoMessage() {}
func (x *FeatureValue_Metadata) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[13]
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 FeatureValue_Metadata.ProtoReflect.Descriptor instead.
func (*FeatureValue_Metadata) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP(), []int{6, 0}
}
func (x *FeatureValue_Metadata) GetGenerateTime() *timestamppb.Timestamp {
if x != nil {
return x.GenerateTime
}
return nil
}
var File_google_cloud_aiplatform_v1_featurestore_online_service_proto protoreflect.FileDescriptor
var file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDesc = []byte{
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}
var (
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescData = file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDesc
)
func file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDescData
}
var file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes = make([]protoimpl.MessageInfo, 14)
var file_google_cloud_aiplatform_v1_featurestore_online_service_proto_goTypes = []interface{}{
(*WriteFeatureValuesRequest)(nil), // 0: google.cloud.aiplatform.v1.WriteFeatureValuesRequest
(*WriteFeatureValuesPayload)(nil), // 1: google.cloud.aiplatform.v1.WriteFeatureValuesPayload
(*WriteFeatureValuesResponse)(nil), // 2: google.cloud.aiplatform.v1.WriteFeatureValuesResponse
(*ReadFeatureValuesRequest)(nil), // 3: google.cloud.aiplatform.v1.ReadFeatureValuesRequest
(*ReadFeatureValuesResponse)(nil), // 4: google.cloud.aiplatform.v1.ReadFeatureValuesResponse
(*StreamingReadFeatureValuesRequest)(nil), // 5: google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest
(*FeatureValue)(nil), // 6: google.cloud.aiplatform.v1.FeatureValue
(*FeatureValueList)(nil), // 7: google.cloud.aiplatform.v1.FeatureValueList
nil, // 8: google.cloud.aiplatform.v1.WriteFeatureValuesPayload.FeatureValuesEntry
(*ReadFeatureValuesResponse_FeatureDescriptor)(nil), // 9: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.FeatureDescriptor
(*ReadFeatureValuesResponse_Header)(nil), // 10: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header
(*ReadFeatureValuesResponse_EntityView)(nil), // 11: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView
(*ReadFeatureValuesResponse_EntityView_Data)(nil), // 12: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data
(*FeatureValue_Metadata)(nil), // 13: google.cloud.aiplatform.v1.FeatureValue.Metadata
(*FeatureSelector)(nil), // 14: google.cloud.aiplatform.v1.FeatureSelector
(*BoolArray)(nil), // 15: google.cloud.aiplatform.v1.BoolArray
(*DoubleArray)(nil), // 16: google.cloud.aiplatform.v1.DoubleArray
(*Int64Array)(nil), // 17: google.cloud.aiplatform.v1.Int64Array
(*StringArray)(nil), // 18: google.cloud.aiplatform.v1.StringArray
(*timestamppb.Timestamp)(nil), // 19: google.protobuf.Timestamp
}
var file_google_cloud_aiplatform_v1_featurestore_online_service_proto_depIdxs = []int32{
1, // 0: google.cloud.aiplatform.v1.WriteFeatureValuesRequest.payloads:type_name -> google.cloud.aiplatform.v1.WriteFeatureValuesPayload
8, // 1: google.cloud.aiplatform.v1.WriteFeatureValuesPayload.feature_values:type_name -> google.cloud.aiplatform.v1.WriteFeatureValuesPayload.FeatureValuesEntry
14, // 2: google.cloud.aiplatform.v1.ReadFeatureValuesRequest.feature_selector:type_name -> google.cloud.aiplatform.v1.FeatureSelector
10, // 3: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.header:type_name -> google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header
11, // 4: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.entity_view:type_name -> google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView
14, // 5: google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest.feature_selector:type_name -> google.cloud.aiplatform.v1.FeatureSelector
15, // 6: google.cloud.aiplatform.v1.FeatureValue.bool_array_value:type_name -> google.cloud.aiplatform.v1.BoolArray
16, // 7: google.cloud.aiplatform.v1.FeatureValue.double_array_value:type_name -> google.cloud.aiplatform.v1.DoubleArray
17, // 8: google.cloud.aiplatform.v1.FeatureValue.int64_array_value:type_name -> google.cloud.aiplatform.v1.Int64Array
18, // 9: google.cloud.aiplatform.v1.FeatureValue.string_array_value:type_name -> google.cloud.aiplatform.v1.StringArray
13, // 10: google.cloud.aiplatform.v1.FeatureValue.metadata:type_name -> google.cloud.aiplatform.v1.FeatureValue.Metadata
6, // 11: google.cloud.aiplatform.v1.FeatureValueList.values:type_name -> google.cloud.aiplatform.v1.FeatureValue
6, // 12: google.cloud.aiplatform.v1.WriteFeatureValuesPayload.FeatureValuesEntry.value:type_name -> google.cloud.aiplatform.v1.FeatureValue
9, // 13: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.Header.feature_descriptors:type_name -> google.cloud.aiplatform.v1.ReadFeatureValuesResponse.FeatureDescriptor
12, // 14: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.data:type_name -> google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data
6, // 15: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data.value:type_name -> google.cloud.aiplatform.v1.FeatureValue
7, // 16: google.cloud.aiplatform.v1.ReadFeatureValuesResponse.EntityView.Data.values:type_name -> google.cloud.aiplatform.v1.FeatureValueList
19, // 17: google.cloud.aiplatform.v1.FeatureValue.Metadata.generate_time:type_name -> google.protobuf.Timestamp
3, // 18: google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues:input_type -> google.cloud.aiplatform.v1.ReadFeatureValuesRequest
5, // 19: google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues:input_type -> google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest
0, // 20: google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues:input_type -> google.cloud.aiplatform.v1.WriteFeatureValuesRequest
4, // 21: google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.ReadFeatureValues:output_type -> google.cloud.aiplatform.v1.ReadFeatureValuesResponse
4, // 22: google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.StreamingReadFeatureValues:output_type -> google.cloud.aiplatform.v1.ReadFeatureValuesResponse
2, // 23: google.cloud.aiplatform.v1.FeaturestoreOnlineServingService.WriteFeatureValues:output_type -> google.cloud.aiplatform.v1.WriteFeatureValuesResponse
21, // [21:24] is the sub-list for method output_type
18, // [18:21] is the sub-list for method input_type
18, // [18:18] is the sub-list for extension type_name
18, // [18:18] is the sub-list for extension extendee
0, // [0:18] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1_featurestore_online_service_proto_init() }
func file_google_cloud_aiplatform_v1_featurestore_online_service_proto_init() {
if File_google_cloud_aiplatform_v1_featurestore_online_service_proto != nil {
return
}
file_google_cloud_aiplatform_v1_feature_selector_proto_init()
file_google_cloud_aiplatform_v1_types_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*WriteFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*WriteFeatureValuesPayload); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*WriteFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ReadFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ReadFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*StreamingReadFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureValue); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureValueList); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ReadFeatureValuesResponse_FeatureDescriptor); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ReadFeatureValuesResponse_Header); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ReadFeatureValuesResponse_EntityView); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ReadFeatureValuesResponse_EntityView_Data); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureValue_Metadata); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[6].OneofWrappers = []interface{}{
(*FeatureValue_BoolValue)(nil),
(*FeatureValue_DoubleValue)(nil),
(*FeatureValue_Int64Value)(nil),
(*FeatureValue_StringValue)(nil),
(*FeatureValue_BoolArrayValue)(nil),
(*FeatureValue_DoubleArrayValue)(nil),
(*FeatureValue_Int64ArrayValue)(nil),
(*FeatureValue_StringArrayValue)(nil),
(*FeatureValue_BytesValue)(nil),
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes[12].OneofWrappers = []interface{}{
(*ReadFeatureValuesResponse_EntityView_Data_Value)(nil),
(*ReadFeatureValuesResponse_EntityView_Data_Values)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDesc,
NumEnums: 0,
NumMessages: 14,
NumExtensions: 0,
NumServices: 1,
},
GoTypes: file_google_cloud_aiplatform_v1_featurestore_online_service_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1_featurestore_online_service_proto_depIdxs,
MessageInfos: file_google_cloud_aiplatform_v1_featurestore_online_service_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1_featurestore_online_service_proto = out.File
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_rawDesc = nil
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_goTypes = nil
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_depIdxs = nil
}
// Reference imports to suppress errors if they are not otherwise used.
var _ context.Context
var _ grpc.ClientConnInterface
// This is a compile-time assertion to ensure that this generated file
// is compatible with the grpc package it is being compiled against.
const _ = grpc.SupportPackageIsVersion6
// FeaturestoreOnlineServingServiceClient is the client API for FeaturestoreOnlineServingService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type FeaturestoreOnlineServingServiceClient interface {
// Reads Feature values of a specific entity of an EntityType. For reading
// feature values of multiple entities of an EntityType, please use
// StreamingReadFeatureValues.
ReadFeatureValues(ctx context.Context, in *ReadFeatureValuesRequest, opts ...grpc.CallOption) (*ReadFeatureValuesResponse, error)
// Reads Feature values for multiple entities. Depending on their size, data
// for different entities may be broken
// up across multiple responses.
StreamingReadFeatureValues(ctx context.Context, in *StreamingReadFeatureValuesRequest, opts ...grpc.CallOption) (FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient, error)
// Writes Feature values of one or more entities of an EntityType.
//
// The Feature values are merged into existing entities if any. The Feature
// values to be written must have timestamp within the online storage
// retention.
WriteFeatureValues(ctx context.Context, in *WriteFeatureValuesRequest, opts ...grpc.CallOption) (*WriteFeatureValuesResponse, error)
}
type featurestoreOnlineServingServiceClient struct {
cc grpc.ClientConnInterface
}
func NewFeaturestoreOnlineServingServiceClient(cc grpc.ClientConnInterface) FeaturestoreOnlineServingServiceClient {
return &featurestoreOnlineServingServiceClient{cc}
}
func (c *featurestoreOnlineServingServiceClient) ReadFeatureValues(ctx context.Context, in *ReadFeatureValuesRequest, opts ...grpc.CallOption) (*ReadFeatureValuesResponse, error) {
out := new(ReadFeatureValuesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/ReadFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featurestoreOnlineServingServiceClient) StreamingReadFeatureValues(ctx context.Context, in *StreamingReadFeatureValuesRequest, opts ...grpc.CallOption) (FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient, error) {
stream, err := c.cc.NewStream(ctx, &_FeaturestoreOnlineServingService_serviceDesc.Streams[0], "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/StreamingReadFeatureValues", opts...)
if err != nil {
return nil, err
}
x := &featurestoreOnlineServingServiceStreamingReadFeatureValuesClient{stream}
if err := x.ClientStream.SendMsg(in); err != nil {
return nil, err
}
if err := x.ClientStream.CloseSend(); err != nil {
return nil, err
}
return x, nil
}
type FeaturestoreOnlineServingService_StreamingReadFeatureValuesClient interface {
Recv() (*ReadFeatureValuesResponse, error)
grpc.ClientStream
}
type featurestoreOnlineServingServiceStreamingReadFeatureValuesClient struct {
grpc.ClientStream
}
func (x *featurestoreOnlineServingServiceStreamingReadFeatureValuesClient) Recv() (*ReadFeatureValuesResponse, error) {
m := new(ReadFeatureValuesResponse)
if err := x.ClientStream.RecvMsg(m); err != nil {
return nil, err
}
return m, nil
}
func (c *featurestoreOnlineServingServiceClient) WriteFeatureValues(ctx context.Context, in *WriteFeatureValuesRequest, opts ...grpc.CallOption) (*WriteFeatureValuesResponse, error) {
out := new(WriteFeatureValuesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/WriteFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// FeaturestoreOnlineServingServiceServer is the server API for FeaturestoreOnlineServingService service.
type FeaturestoreOnlineServingServiceServer interface {
// Reads Feature values of a specific entity of an EntityType. For reading
// feature values of multiple entities of an EntityType, please use
// StreamingReadFeatureValues.
ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error)
// Reads Feature values for multiple entities. Depending on their size, data
// for different entities may be broken
// up across multiple responses.
StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error
// Writes Feature values of one or more entities of an EntityType.
//
// The Feature values are merged into existing entities if any. The Feature
// values to be written must have timestamp within the online storage
// retention.
WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error)
}
// UnimplementedFeaturestoreOnlineServingServiceServer can be embedded to have forward compatible implementations.
type UnimplementedFeaturestoreOnlineServingServiceServer struct {
}
func (*UnimplementedFeaturestoreOnlineServingServiceServer) ReadFeatureValues(context.Context, *ReadFeatureValuesRequest) (*ReadFeatureValuesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method ReadFeatureValues not implemented")
}
func (*UnimplementedFeaturestoreOnlineServingServiceServer) StreamingReadFeatureValues(*StreamingReadFeatureValuesRequest, FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer) error {
return status.Errorf(codes.Unimplemented, "method StreamingReadFeatureValues not implemented")
}
func (*UnimplementedFeaturestoreOnlineServingServiceServer) WriteFeatureValues(context.Context, *WriteFeatureValuesRequest) (*WriteFeatureValuesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method WriteFeatureValues not implemented")
}
func RegisterFeaturestoreOnlineServingServiceServer(s *grpc.Server, srv FeaturestoreOnlineServingServiceServer) {
s.RegisterService(&_FeaturestoreOnlineServingService_serviceDesc, srv)
}
func _FeaturestoreOnlineServingService_ReadFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ReadFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreOnlineServingServiceServer).ReadFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/ReadFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreOnlineServingServiceServer).ReadFeatureValues(ctx, req.(*ReadFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeaturestoreOnlineServingService_StreamingReadFeatureValues_Handler(srv interface{}, stream grpc.ServerStream) error {
m := new(StreamingReadFeatureValuesRequest)
if err := stream.RecvMsg(m); err != nil {
return err
}
return srv.(FeaturestoreOnlineServingServiceServer).StreamingReadFeatureValues(m, &featurestoreOnlineServingServiceStreamingReadFeatureValuesServer{stream})
}
type FeaturestoreOnlineServingService_StreamingReadFeatureValuesServer interface {
Send(*ReadFeatureValuesResponse) error
grpc.ServerStream
}
type featurestoreOnlineServingServiceStreamingReadFeatureValuesServer struct {
grpc.ServerStream
}
func (x *featurestoreOnlineServingServiceStreamingReadFeatureValuesServer) Send(m *ReadFeatureValuesResponse) error {
return x.ServerStream.SendMsg(m)
}
func _FeaturestoreOnlineServingService_WriteFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(WriteFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeaturestoreOnlineServingServiceServer).WriteFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1.FeaturestoreOnlineServingService/WriteFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeaturestoreOnlineServingServiceServer).WriteFeatureValues(ctx, req.(*WriteFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
var _FeaturestoreOnlineServingService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.aiplatform.v1.FeaturestoreOnlineServingService",
HandlerType: (*FeaturestoreOnlineServingServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "ReadFeatureValues",
Handler: _FeaturestoreOnlineServingService_ReadFeatureValues_Handler,
},
{
MethodName: "WriteFeatureValues",
Handler: _FeaturestoreOnlineServingService_WriteFeatureValues_Handler,
},
},
Streams: []grpc.StreamDesc{
{
StreamName: "StreamingReadFeatureValues",
Handler: _FeaturestoreOnlineServingService_StreamingReadFeatureValues_Handler,
ServerStreams: true,
},
},
Metadata: "google/cloud/aiplatform/v1/featurestore_online_service.proto",
}