| // Copyright 2020 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 v1.22.0 |
| // protoc v3.12.2 |
| // source: google/cloud/automl/v1/dataset.proto |
| |
| package automl |
| |
| import ( |
| reflect "reflect" |
| sync "sync" |
| |
| proto "github.com/golang/protobuf/proto" |
| timestamp "github.com/golang/protobuf/ptypes/timestamp" |
| _ "google.golang.org/genproto/googleapis/api/annotations" |
| 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) |
| ) |
| |
| // This is a compile-time assertion that a sufficiently up-to-date version |
| // of the legacy proto package is being used. |
| const _ = proto.ProtoPackageIsVersion4 |
| |
| // 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 *timestamp.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() *timestamp.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 |
| |
| var file_google_cloud_automl_v1_dataset_proto_rawDesc = []byte{ |
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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 |
| (*timestamp.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 |
| } |
