/
dataset.pb.go
executable file
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/
dataset.pb.go
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// Copyright 2021 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/automl/v1/dataset.proto
package automlpb
import (
reflect "reflect"
sync "sync"
_ "google.golang.org/genproto/googleapis/api/annotations"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
timestamppb "google.golang.org/protobuf/types/known/timestamppb"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
// A workspace for solving a single, particular machine learning (ML) problem.
// A workspace contains examples that may be annotated.
type Dataset struct {
state protoimpl.MessageState
sizeCache protoimpl.SizeCache
unknownFields protoimpl.UnknownFields
// Required.
// The dataset metadata that is specific to the problem type.
//
// Types that are assignable to DatasetMetadata:
//
// *Dataset_TranslationDatasetMetadata
// *Dataset_ImageClassificationDatasetMetadata
// *Dataset_TextClassificationDatasetMetadata
// *Dataset_ImageObjectDetectionDatasetMetadata
// *Dataset_TextExtractionDatasetMetadata
// *Dataset_TextSentimentDatasetMetadata
DatasetMetadata isDataset_DatasetMetadata `protobuf_oneof:"dataset_metadata"`
// Output only. The resource name of the dataset.
// Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
Name string `protobuf:"bytes,1,opt,name=name,proto3" json:"name,omitempty"`
// Required. The name of the dataset to show in the interface. The name can be
// up to 32 characters long and can consist only of ASCII Latin letters A-Z
// and a-z, underscores
// (_), and ASCII digits 0-9.
DisplayName string `protobuf:"bytes,2,opt,name=display_name,json=displayName,proto3" json:"display_name,omitempty"`
// User-provided description of the dataset. The description can be up to
// 25000 characters long.
Description string `protobuf:"bytes,3,opt,name=description,proto3" json:"description,omitempty"`
// Output only. The number of examples in the dataset.
ExampleCount int32 `protobuf:"varint,21,opt,name=example_count,json=exampleCount,proto3" json:"example_count,omitempty"`
// Output only. Timestamp when this dataset was created.
CreateTime *timestamppb.Timestamp `protobuf:"bytes,14,opt,name=create_time,json=createTime,proto3" json:"create_time,omitempty"`
// Used to perform consistent read-modify-write updates. If not set, a blind
// "overwrite" update happens.
Etag string `protobuf:"bytes,17,opt,name=etag,proto3" json:"etag,omitempty"`
// Optional. The labels with user-defined metadata to organize your dataset.
//
// Label keys and values can be no longer than 64 characters
// (Unicode codepoints), can only contain lowercase letters, numeric
// characters, underscores and dashes. International characters are allowed.
// Label values are optional. Label keys must start with a letter.
//
// See https://goo.gl/xmQnxf for more information on and examples of labels.
Labels map[string]string `protobuf:"bytes,39,rep,name=labels,proto3" json:"labels,omitempty" protobuf_key:"bytes,1,opt,name=key,proto3" protobuf_val:"bytes,2,opt,name=value,proto3"`
}
func (x *Dataset) Reset() {
*x = Dataset{}
if protoimpl.UnsafeEnabled {
mi := &file_google_cloud_automl_v1_dataset_proto_msgTypes[0]
ms := protoimpl.X.MessageStateOf(protoimpl.Pointer(x))
ms.StoreMessageInfo(mi)
}
}
func (x *Dataset) String() string {
return protoimpl.X.MessageStringOf(x)
}
func (*Dataset) ProtoMessage() {}
func (x *Dataset) ProtoReflect() protoreflect.Message {
mi := &file_google_cloud_automl_v1_dataset_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 Dataset.ProtoReflect.Descriptor instead.
func (*Dataset) Descriptor() ([]byte, []int) {
return file_google_cloud_automl_v1_dataset_proto_rawDescGZIP(), []int{0}
}
func (m *Dataset) GetDatasetMetadata() isDataset_DatasetMetadata {
if m != nil {
return m.DatasetMetadata
}
return nil
}
func (x *Dataset) GetTranslationDatasetMetadata() *TranslationDatasetMetadata {
if x, ok := x.GetDatasetMetadata().(*Dataset_TranslationDatasetMetadata); ok {
return x.TranslationDatasetMetadata
}
return nil
}
func (x *Dataset) GetImageClassificationDatasetMetadata() *ImageClassificationDatasetMetadata {
if x, ok := x.GetDatasetMetadata().(*Dataset_ImageClassificationDatasetMetadata); ok {
return x.ImageClassificationDatasetMetadata
}
return nil
}
func (x *Dataset) GetTextClassificationDatasetMetadata() *TextClassificationDatasetMetadata {
if x, ok := x.GetDatasetMetadata().(*Dataset_TextClassificationDatasetMetadata); ok {
return x.TextClassificationDatasetMetadata
}
return nil
}
func (x *Dataset) GetImageObjectDetectionDatasetMetadata() *ImageObjectDetectionDatasetMetadata {
if x, ok := x.GetDatasetMetadata().(*Dataset_ImageObjectDetectionDatasetMetadata); ok {
return x.ImageObjectDetectionDatasetMetadata
}
return nil
}
func (x *Dataset) GetTextExtractionDatasetMetadata() *TextExtractionDatasetMetadata {
if x, ok := x.GetDatasetMetadata().(*Dataset_TextExtractionDatasetMetadata); ok {
return x.TextExtractionDatasetMetadata
}
return nil
}
func (x *Dataset) GetTextSentimentDatasetMetadata() *TextSentimentDatasetMetadata {
if x, ok := x.GetDatasetMetadata().(*Dataset_TextSentimentDatasetMetadata); ok {
return x.TextSentimentDatasetMetadata
}
return nil
}
func (x *Dataset) GetName() string {
if x != nil {
return x.Name
}
return ""
}
func (x *Dataset) GetDisplayName() string {
if x != nil {
return x.DisplayName
}
return ""
}
func (x *Dataset) GetDescription() string {
if x != nil {
return x.Description
}
return ""
}
func (x *Dataset) GetExampleCount() int32 {
if x != nil {
return x.ExampleCount
}
return 0
}
func (x *Dataset) GetCreateTime() *timestamppb.Timestamp {
if x != nil {
return x.CreateTime
}
return nil
}
func (x *Dataset) GetEtag() string {
if x != nil {
return x.Etag
}
return ""
}
func (x *Dataset) GetLabels() map[string]string {
if x != nil {
return x.Labels
}
return nil
}
type isDataset_DatasetMetadata interface {
isDataset_DatasetMetadata()
}
type Dataset_TranslationDatasetMetadata struct {
// Metadata for a dataset used for translation.
TranslationDatasetMetadata *TranslationDatasetMetadata `protobuf:"bytes,23,opt,name=translation_dataset_metadata,json=translationDatasetMetadata,proto3,oneof"`
}
type Dataset_ImageClassificationDatasetMetadata struct {
// Metadata for a dataset used for image classification.
ImageClassificationDatasetMetadata *ImageClassificationDatasetMetadata `protobuf:"bytes,24,opt,name=image_classification_dataset_metadata,json=imageClassificationDatasetMetadata,proto3,oneof"`
}
type Dataset_TextClassificationDatasetMetadata struct {
// Metadata for a dataset used for text classification.
TextClassificationDatasetMetadata *TextClassificationDatasetMetadata `protobuf:"bytes,25,opt,name=text_classification_dataset_metadata,json=textClassificationDatasetMetadata,proto3,oneof"`
}
type Dataset_ImageObjectDetectionDatasetMetadata struct {
// Metadata for a dataset used for image object detection.
ImageObjectDetectionDatasetMetadata *ImageObjectDetectionDatasetMetadata `protobuf:"bytes,26,opt,name=image_object_detection_dataset_metadata,json=imageObjectDetectionDatasetMetadata,proto3,oneof"`
}
type Dataset_TextExtractionDatasetMetadata struct {
// Metadata for a dataset used for text extraction.
TextExtractionDatasetMetadata *TextExtractionDatasetMetadata `protobuf:"bytes,28,opt,name=text_extraction_dataset_metadata,json=textExtractionDatasetMetadata,proto3,oneof"`
}
type Dataset_TextSentimentDatasetMetadata struct {
// Metadata for a dataset used for text sentiment.
TextSentimentDatasetMetadata *TextSentimentDatasetMetadata `protobuf:"bytes,30,opt,name=text_sentiment_dataset_metadata,json=textSentimentDatasetMetadata,proto3,oneof"`
}
func (*Dataset_TranslationDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_ImageClassificationDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_TextClassificationDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_ImageObjectDetectionDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_TextExtractionDatasetMetadata) isDataset_DatasetMetadata() {}
func (*Dataset_TextSentimentDatasetMetadata) isDataset_DatasetMetadata() {}
var File_google_cloud_automl_v1_dataset_proto protoreflect.FileDescriptor
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}
var (
file_google_cloud_automl_v1_dataset_proto_rawDescOnce sync.Once
file_google_cloud_automl_v1_dataset_proto_rawDescData = file_google_cloud_automl_v1_dataset_proto_rawDesc
)
func file_google_cloud_automl_v1_dataset_proto_rawDescGZIP() []byte {
file_google_cloud_automl_v1_dataset_proto_rawDescOnce.Do(func() {
file_google_cloud_automl_v1_dataset_proto_rawDescData = protoimpl.X.CompressGZIP(file_google_cloud_automl_v1_dataset_proto_rawDescData)
})
return file_google_cloud_automl_v1_dataset_proto_rawDescData
}
var file_google_cloud_automl_v1_dataset_proto_msgTypes = make([]protoimpl.MessageInfo, 2)
var file_google_cloud_automl_v1_dataset_proto_goTypes = []interface{}{
(*Dataset)(nil), // 0: google.cloud.automl.v1.Dataset
nil, // 1: google.cloud.automl.v1.Dataset.LabelsEntry
(*TranslationDatasetMetadata)(nil), // 2: google.cloud.automl.v1.TranslationDatasetMetadata
(*ImageClassificationDatasetMetadata)(nil), // 3: google.cloud.automl.v1.ImageClassificationDatasetMetadata
(*TextClassificationDatasetMetadata)(nil), // 4: google.cloud.automl.v1.TextClassificationDatasetMetadata
(*ImageObjectDetectionDatasetMetadata)(nil), // 5: google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata
(*TextExtractionDatasetMetadata)(nil), // 6: google.cloud.automl.v1.TextExtractionDatasetMetadata
(*TextSentimentDatasetMetadata)(nil), // 7: google.cloud.automl.v1.TextSentimentDatasetMetadata
(*timestamppb.Timestamp)(nil), // 8: google.protobuf.Timestamp
}
var file_google_cloud_automl_v1_dataset_proto_depIdxs = []int32{
2, // 0: google.cloud.automl.v1.Dataset.translation_dataset_metadata:type_name -> google.cloud.automl.v1.TranslationDatasetMetadata
3, // 1: google.cloud.automl.v1.Dataset.image_classification_dataset_metadata:type_name -> google.cloud.automl.v1.ImageClassificationDatasetMetadata
4, // 2: google.cloud.automl.v1.Dataset.text_classification_dataset_metadata:type_name -> google.cloud.automl.v1.TextClassificationDatasetMetadata
5, // 3: google.cloud.automl.v1.Dataset.image_object_detection_dataset_metadata:type_name -> google.cloud.automl.v1.ImageObjectDetectionDatasetMetadata
6, // 4: google.cloud.automl.v1.Dataset.text_extraction_dataset_metadata:type_name -> google.cloud.automl.v1.TextExtractionDatasetMetadata
7, // 5: google.cloud.automl.v1.Dataset.text_sentiment_dataset_metadata:type_name -> google.cloud.automl.v1.TextSentimentDatasetMetadata
8, // 6: google.cloud.automl.v1.Dataset.create_time:type_name -> google.protobuf.Timestamp
1, // 7: google.cloud.automl.v1.Dataset.labels:type_name -> google.cloud.automl.v1.Dataset.LabelsEntry
8, // [8:8] is the sub-list for method output_type
8, // [8:8] is the sub-list for method input_type
8, // [8:8] is the sub-list for extension type_name
8, // [8:8] is the sub-list for extension extendee
0, // [0:8] is the sub-list for field type_name
}
func init() { file_google_cloud_automl_v1_dataset_proto_init() }
func file_google_cloud_automl_v1_dataset_proto_init() {
if File_google_cloud_automl_v1_dataset_proto != nil {
return
}
file_google_cloud_automl_v1_image_proto_init()
file_google_cloud_automl_v1_text_proto_init()
file_google_cloud_automl_v1_translation_proto_init()
if !protoimpl.UnsafeEnabled {
file_google_cloud_automl_v1_dataset_proto_msgTypes[0].Exporter = func(v interface{}, i int) interface{} {
switch v := v.(*Dataset); i {
case 0:
return &v.state
case 1:
return &v.sizeCache
case 2:
return &v.unknownFields
default:
return nil
}
}
}
file_google_cloud_automl_v1_dataset_proto_msgTypes[0].OneofWrappers = []interface{}{
(*Dataset_TranslationDatasetMetadata)(nil),
(*Dataset_ImageClassificationDatasetMetadata)(nil),
(*Dataset_TextClassificationDatasetMetadata)(nil),
(*Dataset_ImageObjectDetectionDatasetMetadata)(nil),
(*Dataset_TextExtractionDatasetMetadata)(nil),
(*Dataset_TextSentimentDatasetMetadata)(nil),
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_google_cloud_automl_v1_dataset_proto_rawDesc,
NumEnums: 0,
NumMessages: 2,
NumExtensions: 0,
NumServices: 0,
},
GoTypes: file_google_cloud_automl_v1_dataset_proto_goTypes,
DependencyIndexes: file_google_cloud_automl_v1_dataset_proto_depIdxs,
MessageInfos: file_google_cloud_automl_v1_dataset_proto_msgTypes,
}.Build()
File_google_cloud_automl_v1_dataset_proto = out.File
file_google_cloud_automl_v1_dataset_proto_rawDesc = nil
file_google_cloud_automl_v1_dataset_proto_goTypes = nil
file_google_cloud_automl_v1_dataset_proto_depIdxs = nil
}