| // 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 |
| |
| var file_google_cloud_aiplatform_v1_feature_online_store_service_proto_rawDesc = []byte{ |
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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", |
| } |