/
model_service.pb.go
executable file
·514 lines (463 loc) · 22.2 KB
/
model_service.pb.go
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// Copyright 2023 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.32.0
// protoc v4.25.2
// source: google/ai/generativelanguage/v1beta2/model_service.proto
package generativelanguagepb
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"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// Request for getting information about a specific Model.
type GetModelRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required. The resource name of the model.
//
// This name should match a model name returned by the `ListModels` method.
//
// Format: `models/{model}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
}
func (x *GetModelRequest) Reset() {
*x = GetModelRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *GetModelRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*GetModelRequest) ProtoMessage() {}
func (x *GetModelRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta2_model_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 GetModelRequest.ProtoReflect.Descriptor instead.
func (*GetModelRequest) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescGZIP(), []int{0}
}
func (x *GetModelRequest) GetName() string {
if x != nil {
return x.Name
}
return ""
}
// Request for listing all Models.
type ListModelsRequest struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The maximum number of `Models` to return (per page).
//
// The service may return fewer models.
// If unspecified, at most 50 models will be returned per page.
// This method returns at most 1000 models per page, even if you pass a larger
// page_size.
PageSize int32 `protobuf:"varint,2,opt,name=page_size,json=pageSize,proto3" json:"page_size,omitempty"`
// A page token, received from a previous `ListModels` call.
//
// Provide the `page_token` returned by one request as an argument to the next
// request to retrieve the next page.
//
// When paginating, all other parameters provided to `ListModels` must match
// the call that provided the page token.
PageToken string `protobuf:"bytes,3,opt,name=page_token,json=pageToken,proto3" json:"page_token,omitempty"`
}
func (x *ListModelsRequest) Reset() {
*x = ListModelsRequest{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes[1]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListModelsRequest) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListModelsRequest) ProtoMessage() {}
func (x *ListModelsRequest) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta2_model_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 ListModelsRequest.ProtoReflect.Descriptor instead.
func (*ListModelsRequest) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescGZIP(), []int{1}
}
func (x *ListModelsRequest) GetPageSize() int32 {
if x != nil {
return x.PageSize
}
return 0
}
func (x *ListModelsRequest) GetPageToken() string {
if x != nil {
return x.PageToken
}
return ""
}
// Response from `ListModel` containing a paginated list of Models.
type ListModelsResponse struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// The returned Models.
Models []*Model `protobuf:"bytes,1,rep,name=models,proto3" json:"models,omitempty"`
// A token, which can be sent as `page_token` to retrieve the next page.
//
// If this field is omitted, there are no more pages.
NextPageToken string `protobuf:"bytes,2,opt,name=next_page_token,json=nextPageToken,proto3" json:"next_page_token,omitempty"`
}
func (x *ListModelsResponse) Reset() {
*x = ListModelsResponse{}
if protoimpl.UnsafeEnabled {
mi := &file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes[2]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *ListModelsResponse) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*ListModelsResponse) ProtoMessage() {}
func (x *ListModelsResponse) ProtoReflect() protoreflect.Message {
mi := &file_google_ai_generativelanguage_v1beta2_model_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 ListModelsResponse.ProtoReflect.Descriptor instead.
func (*ListModelsResponse) Descriptor() ([]byte, []int) {
return file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescGZIP(), []int{2}
}
func (x *ListModelsResponse) GetModels() []*Model {
if x != nil {
return x.Models
}
return nil
}
func (x *ListModelsResponse) GetNextPageToken() string {
if x != nil {
return x.NextPageToken
}
return ""
}
var File_google_ai_generativelanguage_v1beta2_model_service_proto protoreflect.FileDescriptor
var file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDesc = []byte{
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var (
file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescOnce sync.Once
file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescData = file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDesc
)
func file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescGZIP() []byte {
file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescOnce.Do(func() {
file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescData)
})
return file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDescData
}
var file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes = make([]protoimpl.MessageInfo, 3)
var file_google_ai_generativelanguage_v1beta2_model_service_proto_goTypes = []interface{}{
(*GetModelRequest)(nil), // 0: google.ai.generativelanguage.v1beta2.GetModelRequest
(*ListModelsRequest)(nil), // 1: google.ai.generativelanguage.v1beta2.ListModelsRequest
(*ListModelsResponse)(nil), // 2: google.ai.generativelanguage.v1beta2.ListModelsResponse
(*Model)(nil), // 3: google.ai.generativelanguage.v1beta2.Model
}
var file_google_ai_generativelanguage_v1beta2_model_service_proto_depIdxs = []int32{
3, // 0: google.ai.generativelanguage.v1beta2.ListModelsResponse.models:type_name -> google.ai.generativelanguage.v1beta2.Model
0, // 1: google.ai.generativelanguage.v1beta2.ModelService.GetModel:input_type -> google.ai.generativelanguage.v1beta2.GetModelRequest
1, // 2: google.ai.generativelanguage.v1beta2.ModelService.ListModels:input_type -> google.ai.generativelanguage.v1beta2.ListModelsRequest
3, // 3: google.ai.generativelanguage.v1beta2.ModelService.GetModel:output_type -> google.ai.generativelanguage.v1beta2.Model
2, // 4: google.ai.generativelanguage.v1beta2.ModelService.ListModels:output_type -> google.ai.generativelanguage.v1beta2.ListModelsResponse
3, // [3:5] is the sub-list for method output_type
1, // [1:3] is the sub-list for method input_type
1, // [1:1] is the sub-list for extension type_name
1, // [1:1] is the sub-list for extension extendee
0, // [0:1] is the sub-list for field type_name
}
func init() { file_google_ai_generativelanguage_v1beta2_model_service_proto_init() }
func file_google_ai_generativelanguage_v1beta2_model_service_proto_init() {
if File_google_ai_generativelanguage_v1beta2_model_service_proto != nil {
return
}
file_google_ai_generativelanguage_v1beta2_model_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*GetModelRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes[1].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListModelsRequest); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes[2].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*ListModelsResponse); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDesc,
NumEnums: 0,
NumMessages: 3,
NumExtensions: 0,
NumServices: 1,
},
GoTypes: file_google_ai_generativelanguage_v1beta2_model_service_proto_goTypes,
DependencyIndexes: file_google_ai_generativelanguage_v1beta2_model_service_proto_depIdxs,
MessageInfos: file_google_ai_generativelanguage_v1beta2_model_service_proto_msgTypes,
}.Build()
File_google_ai_generativelanguage_v1beta2_model_service_proto = out.File
file_google_ai_generativelanguage_v1beta2_model_service_proto_rawDesc = nil
file_google_ai_generativelanguage_v1beta2_model_service_proto_goTypes = nil
file_google_ai_generativelanguage_v1beta2_model_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
// ModelServiceClient is the client API for ModelService service.
//
// For semantics around ctx use and closing/ending streaming RPCs, please refer to https://godoc.org/google.golang.org/grpc#ClientConn.NewStream.
type ModelServiceClient interface {
// Gets information about a specific Model.
GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error)
// Lists models available through the API.
ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error)
}
type modelServiceClient struct {
cc grpc.ClientConnInterface
}
func NewModelServiceClient(cc grpc.ClientConnInterface) ModelServiceClient {
return &modelServiceClient{cc}
}
func (c *modelServiceClient) GetModel(ctx context.Context, in *GetModelRequest, opts ...grpc.CallOption) (*Model, error) {
out := new(Model)
err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta2.ModelService/GetModel", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
func (c *modelServiceClient) ListModels(ctx context.Context, in *ListModelsRequest, opts ...grpc.CallOption) (*ListModelsResponse, error) {
out := new(ListModelsResponse)
err := c.cc.Invoke(ctx, "/google.ai.generativelanguage.v1beta2.ModelService/ListModels", in, out, opts...)
if err != nil {
return nil, err
}
return out, nil
}
// ModelServiceServer is the server API for ModelService service.
type ModelServiceServer interface {
// Gets information about a specific Model.
GetModel(context.Context, *GetModelRequest) (*Model, error)
// Lists models available through the API.
ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error)
}
// UnimplementedModelServiceServer can be embedded to have forward compatible implementations.
type UnimplementedModelServiceServer struct {
}
func (*UnimplementedModelServiceServer) GetModel(context.Context, *GetModelRequest) (*Model, error) {
return nil, status.Errorf(codes.Unimplemented, "method GetModel not implemented")
}
func (*UnimplementedModelServiceServer) ListModels(context.Context, *ListModelsRequest) (*ListModelsResponse, error) {
return nil, status.Errorf(codes.Unimplemented, "method ListModels not implemented")
}
func RegisterModelServiceServer(s *grpc.Server, srv ModelServiceServer) {
s.RegisterService(&_ModelService_serviceDesc, srv)
}
func _ModelService_GetModel_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(GetModelRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(ModelServiceServer).GetModel(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.ai.generativelanguage.v1beta2.ModelService/GetModel",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(ModelServiceServer).GetModel(ctx, req.(*GetModelRequest))
}
return interceptor(ctx, in, info, handler)
}
func _ModelService_ListModels_Handler(srv interface{}, ctx context.Context, dec func(interface{}) error, interceptor grpc.UnaryServerInterceptor) (interface{}, error) {
in := new(ListModelsRequest)
if err := dec(in); err != nil {
return nil, err
}
if interceptor == nil {
return srv.(ModelServiceServer).ListModels(ctx, in)
}
info := &grpc.UnaryServerInfo{
Server: srv,
FullMethod: "/google.ai.generativelanguage.v1beta2.ModelService/ListModels",
}
handler := func(ctx context.Context, req interface{}) (interface{}, error) {
return srv.(ModelServiceServer).ListModels(ctx, req.(*ListModelsRequest))
}
return interceptor(ctx, in, info, handler)
}
var _ModelService_serviceDesc = grpc.ServiceDesc{
ServiceName: "google.ai.generativelanguage.v1beta2.ModelService",
HandlerType: (*ModelServiceServer)(nil),
Methods: []grpc.MethodDesc{
{
MethodName: "GetModel",
Handler: _ModelService_GetModel_Handler,
},
{
MethodName: "ListModels",
Handler: _ModelService_ListModels_Handler,
},
},
Streams: []grpc.StreamDesc{},
Metadata: "google/ai/generativelanguage/v1beta2/model_service.proto",
}