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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/feature_online_store_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"
structpb "google.golang.org/protobuf/types/known/structpb"
)
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)
)
// Format of the data in the Feature View.
type FeatureViewDataFormat int32
const (
// Not set. Will be treated as the KeyValue format.
FeatureViewDataFormat_FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED FeatureViewDataFormat = 0
// Return response data in key-value format.
FeatureViewDataFormat_KEY_VALUE FeatureViewDataFormat = 1
// Return response data in proto Struct format.
FeatureViewDataFormat_PROTO_STRUCT FeatureViewDataFormat = 2
)
// Enum value maps for FeatureViewDataFormat.
var (
FeatureViewDataFormat_name = map[int32]string{
0: "FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED",
1: "KEY_VALUE",
2: "PROTO_STRUCT",
}
FeatureViewDataFormat_value = map[string]int32{
"FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED": 0,
"KEY_VALUE": 1,
"PROTO_STRUCT": 2,
}
)
func (x FeatureViewDataFormat) Enum() *FeatureViewDataFormat {
p := new(FeatureViewDataFormat)
*p = x
return p
}
func (x FeatureViewDataFormat) String() string {
return protoimpl.X.EnumStringOf(x.Descriptor(), protoreflect.EnumNumber(x))
}
func (FeatureViewDataFormat) Descriptor() protoreflect.EnumDescriptor {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_enumTypes[0].Descriptor()
}
func (FeatureViewDataFormat) Type() protoreflect.EnumType {
return &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_enumTypes[0]
}
func (x FeatureViewDataFormat) Number() protoreflect.EnumNumber {
return protoreflect.EnumNumber(x)
}
// Deprecated: Use FeatureViewDataFormat.Descriptor instead.
func (FeatureViewDataFormat) EnumDescriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{0}
}
// Lookup key for a feature view.
type FeatureViewDataKey struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to KeyOneof:
//
// *FeatureViewDataKey_Key
// *FeatureViewDataKey_CompositeKey_
KeyOneof isFeatureViewDataKey_KeyOneof `protobuf_oneof:"key_oneof"`
}
func (x *FeatureViewDataKey) Reset() {
*x = FeatureViewDataKey{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureViewDataKey) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureViewDataKey) ProtoMessage() {}
func (x *FeatureViewDataKey) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 FeatureViewDataKey.ProtoReflect.Descriptor instead.
func (*FeatureViewDataKey) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{0}
}
func (m *FeatureViewDataKey) GetKeyOneof() isFeatureViewDataKey_KeyOneof {
if m != nil {
return m.KeyOneof
}
return nil
}
func (x *FeatureViewDataKey) GetKey() string {
if x, ok := x.GetKeyOneof().(*FeatureViewDataKey_Key); ok {
return x.Key
}
return ""
}
func (x *FeatureViewDataKey) GetCompositeKey() *FeatureViewDataKey_CompositeKey {
if x, ok := x.GetKeyOneof().(*FeatureViewDataKey_CompositeKey_); ok {
return x.CompositeKey
}
return nil
}
type isFeatureViewDataKey_KeyOneof interface {
isFeatureViewDataKey_KeyOneof()
}
type FeatureViewDataKey_Key struct {
// String key to use for lookup.
Key string `protobuf:"bytes,1,opt,name=key,proto3,oneof"`
}
type FeatureViewDataKey_CompositeKey_ struct {
// The actual Entity ID will be composed from this struct. This should match
// with the way ID is defined in the FeatureView spec.
CompositeKey *FeatureViewDataKey_CompositeKey `protobuf:"bytes,2,opt,name=composite_key,json=compositeKey,proto3,oneof"`
}
func (*FeatureViewDataKey_Key) isFeatureViewDataKey_KeyOneof() {}
func (*FeatureViewDataKey_CompositeKey_) isFeatureViewDataKey_KeyOneof() {}
// Request message for
// [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues].
// All the features under the requested feature view will be returned.
type FetchFeatureValuesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. FeatureView resource format
// `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}`
FeatureView string `protobuf:"bytes,1,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
// Optional. The request key to fetch feature values for.
DataKey *FeatureViewDataKey `protobuf:"bytes,6,opt,name=data_key,json=dataKey,proto3" json:"data_key,omitempty"`
// Optional. Response data format. If not set,
// [FeatureViewDataFormat.KEY_VALUE][google.cloud.aiplatform.v1.FeatureViewDataFormat.KEY_VALUE]
// will be used.
DataFormat FeatureViewDataFormat `protobuf:"varint,7,opt,name=data_format,json=dataFormat,proto3,enum=google.cloud.aiplatform.v1.FeatureViewDataFormat" json:"data_format,omitempty"`
}
func (x *FetchFeatureValuesRequest) Reset() {
*x = FetchFeatureValuesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FetchFeatureValuesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FetchFeatureValuesRequest) ProtoMessage() {}
func (x *FetchFeatureValuesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 FetchFeatureValuesRequest.ProtoReflect.Descriptor instead.
func (*FetchFeatureValuesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{1}
}
func (x *FetchFeatureValuesRequest) GetFeatureView() string {
if x != nil {
return x.FeatureView
}
return ""
}
func (x *FetchFeatureValuesRequest) GetDataKey() *FeatureViewDataKey {
if x != nil {
return x.DataKey
}
return nil
}
func (x *FetchFeatureValuesRequest) GetDataFormat() FeatureViewDataFormat {
if x != nil {
return x.DataFormat
}
return FeatureViewDataFormat_FEATURE_VIEW_DATA_FORMAT_UNSPECIFIED
}
// Response message for
// [FeatureOnlineStoreService.FetchFeatureValues][google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues]
type FetchFeatureValuesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Format:
//
// *FetchFeatureValuesResponse_KeyValues
// *FetchFeatureValuesResponse_ProtoStruct
Format isFetchFeatureValuesResponse_Format `protobuf_oneof:"format"`
// The data key associated with this response.
// Will only be populated for
// [FeatureOnlineStoreService.StreamingFetchFeatureValues][] RPCs.
DataKey *FeatureViewDataKey `protobuf:"bytes,4,opt,name=data_key,json=dataKey,proto3" json:"data_key,omitempty"`
}
func (x *FetchFeatureValuesResponse) Reset() {
*x = FetchFeatureValuesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FetchFeatureValuesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FetchFeatureValuesResponse) ProtoMessage() {}
func (x *FetchFeatureValuesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 FetchFeatureValuesResponse.ProtoReflect.Descriptor instead.
func (*FetchFeatureValuesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{2}
}
func (m *FetchFeatureValuesResponse) GetFormat() isFetchFeatureValuesResponse_Format {
if m != nil {
return m.Format
}
return nil
}
func (x *FetchFeatureValuesResponse) GetKeyValues() *FetchFeatureValuesResponse_FeatureNameValuePairList {
if x, ok := x.GetFormat().(*FetchFeatureValuesResponse_KeyValues); ok {
return x.KeyValues
}
return nil
}
func (x *FetchFeatureValuesResponse) GetProtoStruct() *structpb.Struct {
if x, ok := x.GetFormat().(*FetchFeatureValuesResponse_ProtoStruct); ok {
return x.ProtoStruct
}
return nil
}
func (x *FetchFeatureValuesResponse) GetDataKey() *FeatureViewDataKey {
if x != nil {
return x.DataKey
}
return nil
}
type isFetchFeatureValuesResponse_Format interface {
isFetchFeatureValuesResponse_Format()
}
type FetchFeatureValuesResponse_KeyValues struct {
// Feature values in KeyValue format.
KeyValues *FetchFeatureValuesResponse_FeatureNameValuePairList `protobuf:"bytes,3,opt,name=key_values,json=keyValues,proto3,oneof"`
}
type FetchFeatureValuesResponse_ProtoStruct struct {
// Feature values in proto Struct format.
ProtoStruct *structpb.Struct `protobuf:"bytes,2,opt,name=proto_struct,json=protoStruct,proto3,oneof"`
}
func (*FetchFeatureValuesResponse_KeyValues) isFetchFeatureValuesResponse_Format() {}
func (*FetchFeatureValuesResponse_ProtoStruct) isFetchFeatureValuesResponse_Format() {}
// A query to find a number of similar entities.
type NearestNeighborQuery struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Instance:
//
// *NearestNeighborQuery_EntityId
// *NearestNeighborQuery_Embedding_
Instance isNearestNeighborQuery_Instance `protobuf_oneof:"instance"`
// Optional. The number of similar entities to be retrieved from feature view
// for each query.
NeighborCount int32 `protobuf:"varint,3,opt,name=neighbor_count,json=neighborCount,proto3" json:"neighbor_count,omitempty"`
// Optional. The list of string filters.
StringFilters []*NearestNeighborQuery_StringFilter `protobuf:"bytes,4,rep,name=string_filters,json=stringFilters,proto3" json:"string_filters,omitempty"`
// Optional. Crowding is a constraint on a neighbor list produced by nearest
// neighbor search requiring that no more than
// sper_crowding_attribute_neighbor_count of the k neighbors returned have the
// same value of crowding_attribute. It's used for improving result diversity.
PerCrowdingAttributeNeighborCount int32 `protobuf:"varint,5,opt,name=per_crowding_attribute_neighbor_count,json=perCrowdingAttributeNeighborCount,proto3" json:"per_crowding_attribute_neighbor_count,omitempty"`
// Optional. Parameters that can be set to tune query on the fly.
Parameters *NearestNeighborQuery_Parameters `protobuf:"bytes,7,opt,name=parameters,proto3" json:"parameters,omitempty"`
}
func (x *NearestNeighborQuery) Reset() {
*x = NearestNeighborQuery{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[3]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NearestNeighborQuery) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NearestNeighborQuery) ProtoMessage() {}
func (x *NearestNeighborQuery) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 NearestNeighborQuery.ProtoReflect.Descriptor instead.
func (*NearestNeighborQuery) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{3}
}
func (m *NearestNeighborQuery) GetInstance() isNearestNeighborQuery_Instance {
if m != nil {
return m.Instance
}
return nil
}
func (x *NearestNeighborQuery) GetEntityId() string {
if x, ok := x.GetInstance().(*NearestNeighborQuery_EntityId); ok {
return x.EntityId
}
return ""
}
func (x *NearestNeighborQuery) GetEmbedding() *NearestNeighborQuery_Embedding {
if x, ok := x.GetInstance().(*NearestNeighborQuery_Embedding_); ok {
return x.Embedding
}
return nil
}
func (x *NearestNeighborQuery) GetNeighborCount() int32 {
if x != nil {
return x.NeighborCount
}
return 0
}
func (x *NearestNeighborQuery) GetStringFilters() []*NearestNeighborQuery_StringFilter {
if x != nil {
return x.StringFilters
}
return nil
}
func (x *NearestNeighborQuery) GetPerCrowdingAttributeNeighborCount() int32 {
if x != nil {
return x.PerCrowdingAttributeNeighborCount
}
return 0
}
func (x *NearestNeighborQuery) GetParameters() *NearestNeighborQuery_Parameters {
if x != nil {
return x.Parameters
}
return nil
}
type isNearestNeighborQuery_Instance interface {
isNearestNeighborQuery_Instance()
}
type NearestNeighborQuery_EntityId struct {
// Optional. The entity id whose similar entities should be searched for.
// If embedding is set, search will use embedding instead of
// entity_id.
EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3,oneof"`
}
type NearestNeighborQuery_Embedding_ struct {
// Optional. The embedding vector that be used for similar search.
Embedding *NearestNeighborQuery_Embedding `protobuf:"bytes,2,opt,name=embedding,proto3,oneof"`
}
func (*NearestNeighborQuery_EntityId) isNearestNeighborQuery_Instance() {}
func (*NearestNeighborQuery_Embedding_) isNearestNeighborQuery_Instance() {}
// The request message for
// [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities].
type SearchNearestEntitiesRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. FeatureView resource format
// `projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}/featureViews/{featureView}`
FeatureView string `protobuf:"bytes,1,opt,name=feature_view,json=featureView,proto3" json:"feature_view,omitempty"`
// Required. The query.
Query *NearestNeighborQuery `protobuf:"bytes,2,opt,name=query,proto3" json:"query,omitempty"`
// Optional. If set to true, the full entities (including all vector values
// and metadata) of the nearest neighbors are returned; otherwise only entity
// id of the nearest neighbors will be returned. Note that returning full
// entities will significantly increase the latency and cost of the query.
ReturnFullEntity bool `protobuf:"varint,3,opt,name=return_full_entity,json=returnFullEntity,proto3" json:"return_full_entity,omitempty"`
}
func (x *SearchNearestEntitiesRequest) Reset() {
*x = SearchNearestEntitiesRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[4]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SearchNearestEntitiesRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SearchNearestEntitiesRequest) ProtoMessage() {}
func (x *SearchNearestEntitiesRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 SearchNearestEntitiesRequest.ProtoReflect.Descriptor instead.
func (*SearchNearestEntitiesRequest) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{4}
}
func (x *SearchNearestEntitiesRequest) GetFeatureView() string {
if x != nil {
return x.FeatureView
}
return ""
}
func (x *SearchNearestEntitiesRequest) GetQuery() *NearestNeighborQuery {
if x != nil {
return x.Query
}
return nil
}
func (x *SearchNearestEntitiesRequest) GetReturnFullEntity() bool {
if x != nil {
return x.ReturnFullEntity
}
return false
}
// Nearest neighbors for one query.
type NearestNeighbors struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// All its neighbors.
Neighbors []*NearestNeighbors_Neighbor `protobuf:"bytes,1,rep,name=neighbors,proto3" json:"neighbors,omitempty"`
}
func (x *NearestNeighbors) Reset() {
*x = NearestNeighbors{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[5]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NearestNeighbors) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NearestNeighbors) ProtoMessage() {}
func (x *NearestNeighbors) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 NearestNeighbors.ProtoReflect.Descriptor instead.
func (*NearestNeighbors) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{5}
}
func (x *NearestNeighbors) GetNeighbors() []*NearestNeighbors_Neighbor {
if x != nil {
return x.Neighbors
}
return nil
}
// Response message for
// [FeatureOnlineStoreService.SearchNearestEntities][google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities]
type SearchNearestEntitiesResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The nearest neighbors of the query entity.
NearestNeighbors *NearestNeighbors `protobuf:"bytes,1,opt,name=nearest_neighbors,json=nearestNeighbors,proto3" json:"nearest_neighbors,omitempty"`
}
func (x *SearchNearestEntitiesResponse) Reset() {
*x = SearchNearestEntitiesResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[6]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *SearchNearestEntitiesResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*SearchNearestEntitiesResponse) ProtoMessage() {}
func (x *SearchNearestEntitiesResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 SearchNearestEntitiesResponse.ProtoReflect.Descriptor instead.
func (*SearchNearestEntitiesResponse) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{6}
}
func (x *SearchNearestEntitiesResponse) GetNearestNeighbors() *NearestNeighbors {
if x != nil {
return x.NearestNeighbors
}
return nil
}
// ID that is comprised from several parts (columns).
type FeatureViewDataKey_CompositeKey struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Parts to construct Entity ID. Should match with the same ID columns as
// defined in FeatureView in the same order.
Parts []string `protobuf:"bytes,1,rep,name=parts,proto3" json:"parts,omitempty"`
}
func (x *FeatureViewDataKey_CompositeKey) Reset() {
*x = FeatureViewDataKey_CompositeKey{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[7]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FeatureViewDataKey_CompositeKey) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FeatureViewDataKey_CompositeKey) ProtoMessage() {}
func (x *FeatureViewDataKey_CompositeKey) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 FeatureViewDataKey_CompositeKey.ProtoReflect.Descriptor instead.
func (*FeatureViewDataKey_CompositeKey) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{0, 0}
}
func (x *FeatureViewDataKey_CompositeKey) GetParts() []string {
if x != nil {
return x.Parts
}
return nil
}
// Response structure in the format of key (feature name) and (feature) value
// pair.
type FetchFeatureValuesResponse_FeatureNameValuePairList struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// List of feature names and values.
Features []*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair `protobuf:"bytes,1,rep,name=features,proto3" json:"features,omitempty"`
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) Reset() {
*x = FetchFeatureValuesResponse_FeatureNameValuePairList{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[8]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FetchFeatureValuesResponse_FeatureNameValuePairList) ProtoMessage() {}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[8]
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 FetchFeatureValuesResponse_FeatureNameValuePairList.ProtoReflect.Descriptor instead.
func (*FetchFeatureValuesResponse_FeatureNameValuePairList) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{2, 0}
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList) GetFeatures() []*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair {
if x != nil {
return x.Features
}
return nil
}
// Feature name & value pair.
type FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Types that are assignable to Data:
//
// *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value
Data isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data `protobuf_oneof:"data"`
// Feature short name.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) Reset() {
*x = FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[9]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) ProtoMessage() {}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair.ProtoReflect.Descriptor instead.
func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{2, 0, 0}
}
func (m *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetData() isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data {
if m != nil {
return m.Data
}
return nil
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetValue() *FeatureValue {
if x, ok := x.GetData().(*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value); ok {
return x.Value
}
return nil
}
func (x *FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair) GetName() string {
if x != nil {
return x.Name
}
return ""
}
type isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data interface {
isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data()
}
type FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value struct {
// Feature value.
Value *FeatureValue `protobuf:"bytes,2,opt,name=value,proto3,oneof"`
}
func (*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value) isFetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Data() {
}
// The embedding vector.
type NearestNeighborQuery_Embedding struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Optional. Individual value in the embedding.
Value []float32 `protobuf:"fixed32,1,rep,packed,name=value,proto3" json:"value,omitempty"`
}
func (x *NearestNeighborQuery_Embedding) Reset() {
*x = NearestNeighborQuery_Embedding{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[10]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NearestNeighborQuery_Embedding) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NearestNeighborQuery_Embedding) ProtoMessage() {}
func (x *NearestNeighborQuery_Embedding) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 NearestNeighborQuery_Embedding.ProtoReflect.Descriptor instead.
func (*NearestNeighborQuery_Embedding) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{3, 0}
}
func (x *NearestNeighborQuery_Embedding) GetValue() []float32 {
if x != nil {
return x.Value
}
return nil
}
// String filter is used to search a subset of the entities by using boolean
// rules on string columns.
// For example: if a query specifies string filter
// with 'name = color, allow_tokens = {red, blue}, deny_tokens = {purple}','
// then that query will match entities that are red or blue, but if those
// points are also purple, then they will be excluded even if they are
// red/blue. Only string filter is supported for now, numeric filter will be
// supported in the near future.
type NearestNeighborQuery_StringFilter struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. Column names in BigQuery that used as filters.
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Optional. The allowed tokens.
AllowTokens []string `protobuf:"bytes,2,rep,name=allow_tokens,json=allowTokens,proto3" json:"allow_tokens,omitempty"`
// Optional. The denied tokens.
DenyTokens []string `protobuf:"bytes,3,rep,name=deny_tokens,json=denyTokens,proto3" json:"deny_tokens,omitempty"`
}
func (x *NearestNeighborQuery_StringFilter) Reset() {
*x = NearestNeighborQuery_StringFilter{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[11]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NearestNeighborQuery_StringFilter) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NearestNeighborQuery_StringFilter) ProtoMessage() {}
func (x *NearestNeighborQuery_StringFilter) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 NearestNeighborQuery_StringFilter.ProtoReflect.Descriptor instead.
func (*NearestNeighborQuery_StringFilter) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{3, 1}
}
func (x *NearestNeighborQuery_StringFilter) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *NearestNeighborQuery_StringFilter) GetAllowTokens() []string {
if x != nil {
return x.AllowTokens
}
return nil
}
func (x *NearestNeighborQuery_StringFilter) GetDenyTokens() []string {
if x != nil {
return x.DenyTokens
}
return nil
}
// Parameters that can be overrided in each query to tune query latency and
// recall.
type NearestNeighborQuery_Parameters struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Optional. The number of neighbors to find via approximate search before
// exact reordering is performed; if set, this value must be >
// neighbor_count.
ApproximateNeighborCandidates int32 `protobuf:"varint,1,opt,name=approximate_neighbor_candidates,json=approximateNeighborCandidates,proto3" json:"approximate_neighbor_candidates,omitempty"`
// Optional. The fraction of the number of leaves to search, set at query
// time allows user to tune search performance. This value increase result
// in both search accuracy and latency increase. The value should be between
// 0.0 and 1.0.
LeafNodesSearchFraction float64 `protobuf:"fixed64,2,opt,name=leaf_nodes_search_fraction,json=leafNodesSearchFraction,proto3" json:"leaf_nodes_search_fraction,omitempty"`
}
func (x *NearestNeighborQuery_Parameters) Reset() {
*x = NearestNeighborQuery_Parameters{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[12]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NearestNeighborQuery_Parameters) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NearestNeighborQuery_Parameters) ProtoMessage() {}
func (x *NearestNeighborQuery_Parameters) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 NearestNeighborQuery_Parameters.ProtoReflect.Descriptor instead.
func (*NearestNeighborQuery_Parameters) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{3, 2}
}
func (x *NearestNeighborQuery_Parameters) GetApproximateNeighborCandidates() int32 {
if x != nil {
return x.ApproximateNeighborCandidates
}
return 0
}
func (x *NearestNeighborQuery_Parameters) GetLeafNodesSearchFraction() float64 {
if x != nil {
return x.LeafNodesSearchFraction
}
return 0
}
// A neighbor of the query vector.
type NearestNeighbors_Neighbor struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The id of the similar entity.
EntityId string `protobuf:"bytes,1,opt,name=entity_id,json=entityId,proto3" json:"entity_id,omitempty"`
// The distance between the neighbor and the query vector.
Distance float64 `protobuf:"fixed64,2,opt,name=distance,proto3" json:"distance,omitempty"`
// The attributes of the neighbor, e.g. filters, crowding and metadata
// Note that full entities are returned only when "return_full_entity"
// is set to true. Otherwise, only the "entity_id" and "distance" fields
// are populated.
EntityKeyValues *FetchFeatureValuesResponse `protobuf:"bytes,3,opt,name=entity_key_values,json=entityKeyValues,proto3" json:"entity_key_values,omitempty"`
}
func (x *NearestNeighbors_Neighbor) Reset() {
*x = NearestNeighbors_Neighbor{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[13]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *NearestNeighbors_Neighbor) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*NearestNeighbors_Neighbor) ProtoMessage() {}
func (x *NearestNeighbors_Neighbor) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_aiplatform_v1_feature_online_store_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 NearestNeighbors_Neighbor.ProtoReflect.Descriptor instead.
func (*NearestNeighbors_Neighbor) Descriptor() ([]byte, []int) {
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP(), []int{5, 0}
}
func (x *NearestNeighbors_Neighbor) GetEntityId() string {
if x != nil {
return x.EntityId
}
return ""
}
func (x *NearestNeighbors_Neighbor) GetDistance() float64 {
if x != nil {
return x.Distance
}
return 0
}
func (x *NearestNeighbors_Neighbor) GetEntityKeyValues() *FetchFeatureValuesResponse {
if x != nil {
return x.EntityKeyValues
}
return nil
}
var File_google_cloud_aiplatform_v1_feature_online_store_service_proto protoreflect.FileDescriptor
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}
var (
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescOnce sync.Once
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescData = file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDesc
)
func file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescGZIP() []byte {
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescOnce.Do(func() {
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescData)
})
return file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDescData
}
var file_google_cloud_aiplatform_v1_feature_online_store_service_proto_enumTypes = make([]protoimpl.EnumInfo, 1)
var file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes = make([]protoimpl.MessageInfo, 14)
var file_google_cloud_aiplatform_v1_feature_online_store_service_proto_goTypes = []interface{}{
(FeatureViewDataFormat)(0), // 0: google.cloud.aiplatform.v1.FeatureViewDataFormat
(*FeatureViewDataKey)(nil), // 1: google.cloud.aiplatform.v1.FeatureViewDataKey
(*FetchFeatureValuesRequest)(nil), // 2: google.cloud.aiplatform.v1.FetchFeatureValuesRequest
(*FetchFeatureValuesResponse)(nil), // 3: google.cloud.aiplatform.v1.FetchFeatureValuesResponse
(*NearestNeighborQuery)(nil), // 4: google.cloud.aiplatform.v1.NearestNeighborQuery
(*SearchNearestEntitiesRequest)(nil), // 5: google.cloud.aiplatform.v1.SearchNearestEntitiesRequest
(*NearestNeighbors)(nil), // 6: google.cloud.aiplatform.v1.NearestNeighbors
(*SearchNearestEntitiesResponse)(nil), // 7: google.cloud.aiplatform.v1.SearchNearestEntitiesResponse
(*FeatureViewDataKey_CompositeKey)(nil), // 8: google.cloud.aiplatform.v1.FeatureViewDataKey.CompositeKey
(*FetchFeatureValuesResponse_FeatureNameValuePairList)(nil), // 9: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList
(*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair)(nil), // 10: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair
(*NearestNeighborQuery_Embedding)(nil), // 11: google.cloud.aiplatform.v1.NearestNeighborQuery.Embedding
(*NearestNeighborQuery_StringFilter)(nil), // 12: google.cloud.aiplatform.v1.NearestNeighborQuery.StringFilter
(*NearestNeighborQuery_Parameters)(nil), // 13: google.cloud.aiplatform.v1.NearestNeighborQuery.Parameters
(*NearestNeighbors_Neighbor)(nil), // 14: google.cloud.aiplatform.v1.NearestNeighbors.Neighbor
(*structpb.Struct)(nil), // 15: google.protobuf.Struct
(*FeatureValue)(nil), // 16: google.cloud.aiplatform.v1.FeatureValue
}
var file_google_cloud_aiplatform_v1_feature_online_store_service_proto_depIdxs = []int32{
8, // 0: google.cloud.aiplatform.v1.FeatureViewDataKey.composite_key:type_name -> google.cloud.aiplatform.v1.FeatureViewDataKey.CompositeKey
1, // 1: google.cloud.aiplatform.v1.FetchFeatureValuesRequest.data_key:type_name -> google.cloud.aiplatform.v1.FeatureViewDataKey
0, // 2: google.cloud.aiplatform.v1.FetchFeatureValuesRequest.data_format:type_name -> google.cloud.aiplatform.v1.FeatureViewDataFormat
9, // 3: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.key_values:type_name -> google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList
15, // 4: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.proto_struct:type_name -> google.protobuf.Struct
1, // 5: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.data_key:type_name -> google.cloud.aiplatform.v1.FeatureViewDataKey
11, // 6: google.cloud.aiplatform.v1.NearestNeighborQuery.embedding:type_name -> google.cloud.aiplatform.v1.NearestNeighborQuery.Embedding
12, // 7: google.cloud.aiplatform.v1.NearestNeighborQuery.string_filters:type_name -> google.cloud.aiplatform.v1.NearestNeighborQuery.StringFilter
13, // 8: google.cloud.aiplatform.v1.NearestNeighborQuery.parameters:type_name -> google.cloud.aiplatform.v1.NearestNeighborQuery.Parameters
4, // 9: google.cloud.aiplatform.v1.SearchNearestEntitiesRequest.query:type_name -> google.cloud.aiplatform.v1.NearestNeighborQuery
14, // 10: google.cloud.aiplatform.v1.NearestNeighbors.neighbors:type_name -> google.cloud.aiplatform.v1.NearestNeighbors.Neighbor
6, // 11: google.cloud.aiplatform.v1.SearchNearestEntitiesResponse.nearest_neighbors:type_name -> google.cloud.aiplatform.v1.NearestNeighbors
10, // 12: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.features:type_name -> google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair
16, // 13: google.cloud.aiplatform.v1.FetchFeatureValuesResponse.FeatureNameValuePairList.FeatureNameValuePair.value:type_name -> google.cloud.aiplatform.v1.FeatureValue
3, // 14: google.cloud.aiplatform.v1.NearestNeighbors.Neighbor.entity_key_values:type_name -> google.cloud.aiplatform.v1.FetchFeatureValuesResponse
2, // 15: google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues:input_type -> google.cloud.aiplatform.v1.FetchFeatureValuesRequest
5, // 16: google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities:input_type -> google.cloud.aiplatform.v1.SearchNearestEntitiesRequest
3, // 17: google.cloud.aiplatform.v1.FeatureOnlineStoreService.FetchFeatureValues:output_type -> google.cloud.aiplatform.v1.FetchFeatureValuesResponse
7, // 18: google.cloud.aiplatform.v1.FeatureOnlineStoreService.SearchNearestEntities:output_type -> google.cloud.aiplatform.v1.SearchNearestEntitiesResponse
17, // [17:19] is the sub-list for method output_type
15, // [15:17] is the sub-list for method input_type
15, // [15:15] is the sub-list for extension type_name
15, // [15:15] is the sub-list for extension extendee
0, // [0:15] is the sub-list for field type_name
}
func init() { file_google_cloud_aiplatform_v1_feature_online_store_service_proto_init() }
func file_google_cloud_aiplatform_v1_feature_online_store_service_proto_init() {
if File_google_cloud_aiplatform_v1_feature_online_store_service_proto != nil {
return
}
file_google_cloud_aiplatform_v1_featurestore_online_service_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureViewDataKey); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FetchFeatureValuesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FetchFeatureValuesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[3].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NearestNeighborQuery); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[4].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SearchNearestEntitiesRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[5].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NearestNeighbors); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[6].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*SearchNearestEntitiesResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[7].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FeatureViewDataKey_CompositeKey); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[8].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FetchFeatureValuesResponse_FeatureNameValuePairList); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[9].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[10].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NearestNeighborQuery_Embedding); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[11].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NearestNeighborQuery_StringFilter); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[12].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NearestNeighborQuery_Parameters); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[13].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*NearestNeighbors_Neighbor); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[0].OneofWrappers = []interface{}{
(*FeatureViewDataKey_Key)(nil),
(*FeatureViewDataKey_CompositeKey_)(nil),
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[2].OneofWrappers = []interface{}{
(*FetchFeatureValuesResponse_KeyValues)(nil),
(*FetchFeatureValuesResponse_ProtoStruct)(nil),
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[3].OneofWrappers = []interface{}{
(*NearestNeighborQuery_EntityId)(nil),
(*NearestNeighborQuery_Embedding_)(nil),
}
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes[9].OneofWrappers = []interface{}{
(*FetchFeatureValuesResponse_FeatureNameValuePairList_FeatureNameValuePair_Value)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDesc,
NumEnums: 1,
NumMessages: 14,
NumExtensions: 0,
NumServices: 1,
},
GoTypes: file_google_cloud_aiplatform_v1_feature_online_store_service_proto_goTypes,
DependencyIndexes: file_google_cloud_aiplatform_v1_feature_online_store_service_proto_depIdxs,
EnumInfos: file_google_cloud_aiplatform_v1_feature_online_store_service_proto_enumTypes,
MessageInfos: file_google_cloud_aiplatform_v1_feature_online_store_service_proto_msgTypes,
}.Build()
File_google_cloud_aiplatform_v1_feature_online_store_service_proto = out.File
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDesc = nil
file_google_cloud_aiplatform_v1_feature_online_store_service_proto_goTypes = nil
file_google_cloud_aiplatform_v1_feature_online_store_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
// FeatureOnlineStoreServiceClient is the client API for FeatureOnlineStoreService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type FeatureOnlineStoreServiceClient interface {
// Fetch feature values under a FeatureView.
FetchFeatureValues(ctx context.Context, in *FetchFeatureValuesRequest, opts ...grpc.CallOption) (*FetchFeatureValuesResponse, error)
// Search the nearest entities under a FeatureView.
// Search only works for indexable feature view; if a feature view isn't
// indexable, returns Invalid argument response.
SearchNearestEntities(ctx context.Context, in *SearchNearestEntitiesRequest, opts ...grpc.CallOption) (*SearchNearestEntitiesResponse, error)
}
type featureOnlineStoreServiceClient struct {
cc grpc.ClientConnInterface
}
func NewFeatureOnlineStoreServiceClient(cc grpc.ClientConnInterface) FeatureOnlineStoreServiceClient {
return &featureOnlineStoreServiceClient{cc}
}
func (c *featureOnlineStoreServiceClient) FetchFeatureValues(ctx context.Context, in *FetchFeatureValuesRequest, opts ...grpc.CallOption) (*FetchFeatureValuesResponse, error) {
out := new(FetchFeatureValuesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.FeatureOnlineStoreService/FetchFeatureValues", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *featureOnlineStoreServiceClient) SearchNearestEntities(ctx context.Context, in *SearchNearestEntitiesRequest, opts ...grpc.CallOption) (*SearchNearestEntitiesResponse, error) {
out := new(SearchNearestEntitiesResponse)
err := c.cc.Invoke(ctx, "/google.cloud.aiplatform.v1.FeatureOnlineStoreService/SearchNearestEntities", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// FeatureOnlineStoreServiceServer is the server API for FeatureOnlineStoreService service.
type FeatureOnlineStoreServiceServer interface {
// Fetch feature values under a FeatureView.
FetchFeatureValues(context.Context, *FetchFeatureValuesRequest) (*FetchFeatureValuesResponse, error)
// Search the nearest entities under a FeatureView.
// Search only works for indexable feature view; if a feature view isn't
// indexable, returns Invalid argument response.
SearchNearestEntities(context.Context, *SearchNearestEntitiesRequest) (*SearchNearestEntitiesResponse, error)
}
// UnimplementedFeatureOnlineStoreServiceServer can be embedded to have forward compatible implementations.
type UnimplementedFeatureOnlineStoreServiceServer struct {
}
func (*UnimplementedFeatureOnlineStoreServiceServer) FetchFeatureValues(context.Context, *FetchFeatureValuesRequest) (*FetchFeatureValuesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method FetchFeatureValues not implemented")
}
func (*UnimplementedFeatureOnlineStoreServiceServer) SearchNearestEntities(context.Context, *SearchNearestEntitiesRequest) (*SearchNearestEntitiesResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method SearchNearestEntities not implemented")
}
func RegisterFeatureOnlineStoreServiceServer(s *grpc.Server, srv FeatureOnlineStoreServiceServer) {
s.RegisterService(&_FeatureOnlineStoreService_serviceDesc, srv)
}
func _FeatureOnlineStoreService_FetchFeatureValues_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(FetchFeatureValuesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeatureOnlineStoreServiceServer).FetchFeatureValues(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1.FeatureOnlineStoreService/FetchFeatureValues",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeatureOnlineStoreServiceServer).FetchFeatureValues(ctx, req.(*FetchFeatureValuesRequest))
}
return interceptor(ctx, in, info, handler)
}
func _FeatureOnlineStoreService_SearchNearestEntities_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(SearchNearestEntitiesRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(FeatureOnlineStoreServiceServer).SearchNearestEntities(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.cloud.aiplatform.v1.FeatureOnlineStoreService/SearchNearestEntities",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(FeatureOnlineStoreServiceServer).SearchNearestEntities(ctx, req.(*SearchNearestEntitiesRequest))
}
return interceptor(ctx, in, info, handler)
}
var _FeatureOnlineStoreService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.cloud.aiplatform.v1.FeatureOnlineStoreService",
HandlerType: (*FeatureOnlineStoreServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "FetchFeatureValues",
Handler: _FeatureOnlineStoreService_FetchFeatureValues_Handler,
},
{
MethodName: "SearchNearestEntities",
Handler: _FeatureOnlineStoreService_SearchNearestEntities_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/cloud/aiplatform/v1/feature_online_store_service.proto",
}