// Copyright 2018 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.
//

syntax = "proto3";

package google.cloud.datalabeling.v1beta1;

import "google/protobuf/duration.proto";
import "google/api/annotations.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/datalabeling/v1beta1;datalabeling";
option java_multiple_files = true;
option java_package = "com.google.cloud.datalabeling.v1beta1";


enum StringAggregationType {
  STRING_AGGREGATION_TYPE_UNSPECIFIED = 0;

  // Majority vote to aggregate answers.
  MAJORITY_VOTE = 1;

  // Unanimous answers will be adopted.
  UNANIMOUS_VOTE = 2;

  // Preserve all answers by crowd compute.
  NO_AGGREGATION = 3;
}

// Configuration for how human labeling task should be done.
message HumanAnnotationConfig {
  // Required except for LabelAudio case. Instruction resource name.
  string instruction = 1;

  // Required. A human-readable name for AnnotatedDataset defined by
  // users. Maximum of 64 characters
  // .
  string annotated_dataset_display_name = 2;

  // Optional. A human-readable description for AnnotatedDataset.
  // The description can be up to 10000 characters long.
  string annotated_dataset_description = 3;

  // Optional. A human-readable label used to logically group labeling tasks.
  // This string must match the regular expression `[a-zA-Z\\d_-]{0,128}`.
  string label_group = 4;

  // Optional. The Language of this question, as a
  // [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).
  // Default value is en-US.
  // Only need to set this when task is language related. For example, French
  // text classification or Chinese audio transcription.
  string language_code = 5;

  // Optional. Replication of questions. Each question will be sent to up to
  // this number of contributors to label. Aggregated answers will be returned.
  // Default is set to 1.
  // For image related labeling, valid values are 1, 3, 5.
  int32 replica_count = 6;

  // Optional. Maximum duration for contributors to answer a question. Default
  // is 1800 seconds.
  google.protobuf.Duration question_duration = 7;

  // Optional. If you want your own labeling contributors to manage and work on
  // this labeling request, you can set these contributors here. We will give
  // them access to the question types in crowdcompute. Note that these
  // emails must be registered in crowdcompute worker UI:
  // https://crowd-compute.appspot.com/
  repeated string contributor_emails = 9;
}

// Config for image classification human labeling task.
message ImageClassificationConfig {
  // Required. Annotation spec set resource name.
  string annotation_spec_set = 1;

  // Optional. If allow_multi_label is true, contributors are able to choose
  // multiple labels for one image.
  bool allow_multi_label = 2;

  // Optional. The type of how to aggregate answers.
  StringAggregationType answer_aggregation_type = 3;
}

// Config for image bounding poly (and bounding box) human labeling task.
message BoundingPolyConfig {
  // Required. Annotation spec set resource name.
  string annotation_spec_set = 1;

  // Optional. Instruction message showed on contributors UI.
  string instruction_message = 2;
}

// Config for image polyline human labeling task.
message PolylineConfig {
  // Required. Annotation spec set resource name.
  string annotation_spec_set = 1;

  // Optional. Instruction message showed on contributors UI.
  string instruction_message = 2;
}

// Config for image segmentation
message SegmentationConfig {
  // Required. Annotation spec set resource name. format:
  // projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}
  string annotation_spec_set = 1;

  // Instruction message showed on labelers UI.
  string instruction_message = 2;
}

// Config for video classification human labeling task.
// Currently two types of video classification are supported:
// 1. Assign labels on the entire video.
// 2. Split the video into multiple video clips based on camera shot, and
// assign labels on each video clip.
message VideoClassificationConfig {
  // Annotation spec set with the setting of allowing multi labels or not.
  message AnnotationSpecSetConfig {
    // Required. Annotation spec set resource name.
    string annotation_spec_set = 1;

    // Optional. If allow_multi_label is true, contributors are able to
    // choose multiple labels from one annotation spec set.
    bool allow_multi_label = 2;
  }

  // Required. The list of annotation spec set configs.
  // Since watching a video clip takes much longer time than an image, we
  // support label with multiple AnnotationSpecSet at the same time. Labels
  // in each AnnotationSpecSet will be shown in a group to contributors.
  // Contributors can select one or more (depending on whether to allow multi
  // label) from each group.
  repeated AnnotationSpecSetConfig annotation_spec_set_configs = 1;

  // Optional. Option to apply shot detection on the video.
  bool apply_shot_detection = 2;
}

// Config for video object detection human labeling task.
// Object detection will be conducted on the images extracted from the video,
// and those objects will be labeled with bounding boxes.
// User need to specify the number of images to be extracted per second as the
// extraction frame rate.
message ObjectDetectionConfig {
  // Required. Annotation spec set resource name.
  string annotation_spec_set = 1;

  // Optional. Instruction message showed on labelers UI.
  string instruction_message = 2;

  // Required. Number of frames per second to be extracted from the video.
  double extraction_frame_rate = 3;
}

// Config for video object tracking human labeling task.
message ObjectTrackingConfig {
  // Required. Annotation spec set resource name.
  string annotation_spec_set = 1;
}

// Config for video event human labeling task.
message EventConfig {
  // Required. The list of annotation spec set resource name. Similar to video
  // classification, we support selecting event from multiple AnnotationSpecSet
  // at the same time.
  repeated string annotation_spec_sets = 1;
}

// Config for text classification human labeling task.
message TextClassificationConfig {
  // Optional. If allow_multi_label is true, contributors are able to choose
  // multiple labels for one text segment.
  bool allow_multi_label = 1;

  // Required. Annotation spec set resource name.
  string annotation_spec_set = 2;

  // Optional. Configs for sentiment selection.
  SentimentConfig sentiment_config = 3;
}

// Config for setting up sentiments.
message SentimentConfig {
  // If set to true, contributors will have the option to select sentiment of
  // the label they selected, to mark it as negative or positive label. Default
  // is false.
  bool enable_label_sentiment_selection = 1;
}

// Config for text entity extraction human labeling task.
message TextEntityExtractionConfig {
  // Required. Annotation spec set resource name.
  string annotation_spec_set = 1;
}