Class v1beta1.DataLabelingServiceClient (3.1.1)

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Instruction resource parent, format:
   *  projects/{project_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. Instruction of how to perform the labeling task.
   */
  // const instruction = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callCreateInstruction() {
    // Construct request
    const request = {
      parent,
      instruction,
    };

    // Run request
    const [operation] = await datalabelingClient.createInstruction(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callCreateInstruction();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Dataset resource name, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const name = 'abc123'
  /**
   *  Required. Annotated dataset resource name. DataItem in
   *  Dataset and their annotations in specified annotated dataset will be
   *  exported. It's in format of
   *  projects/{project_id}/datasets/{dataset_id}/annotatedDatasets/
   *  {annotated_dataset_id}
   */
  // const annotatedDataset = 'abc123'
  /**
   *  Optional. Filter is not supported at this moment.
   */
  // const filter = 'abc123'
  /**
   *  Required. Specify the output destination.
   */
  // const outputConfig = {}
  /**
   *  Email of the user who started the export task and should be notified by
   *  email. If empty no notification will be sent.
   */
  // const userEmailAddress = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callExportData() {
    // Construct request
    const request = {
      name,
      annotatedDataset,
      outputConfig,
    };

    // Run request
    const [operation] = await datalabelingClient.exportData(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callExportData();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Dataset resource name, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const name = 'abc123'
  /**
   *  Required. Specify the input source of the data.
   */
  // const inputConfig = {}
  /**
   *  Email of the user who started the import task and should be notified by
   *  email. If empty no notification will be sent.
   */
  // const userEmailAddress = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callImportData() {
    // Construct request
    const request = {
      name,
      inputConfig,
    };

    // Run request
    const [operation] = await datalabelingClient.importData(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callImportData();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Configuration for image classification task.
   *  One of image_classification_config, bounding_poly_config,
   *  polyline_config and segmentation_config are required.
   */
  // const imageClassificationConfig = {}
  /**
   *  Configuration for bounding box and bounding poly task.
   *  One of image_classification_config, bounding_poly_config,
   *  polyline_config and segmentation_config are required.
   */
  // const boundingPolyConfig = {}
  /**
   *  Configuration for polyline task.
   *  One of image_classification_config, bounding_poly_config,
   *  polyline_config and segmentation_config are required.
   */
  // const polylineConfig = {}
  /**
   *  Configuration for segmentation task.
   *  One of image_classification_config, bounding_poly_config,
   *  polyline_config and segmentation_config are required.
   */
  // const segmentationConfig = {}
  /**
   *  Required. Name of the dataset to request labeling task, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. Basic human annotation config.
   */
  // const basicConfig = {}
  /**
   *  Required. The type of image labeling task.
   */
  // const feature = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callLabelImage() {
    // Construct request
    const request = {
      parent,
      basicConfig,
      feature,
    };

    // Run request
    const [operation] = await datalabelingClient.labelImage(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callLabelImage();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Configuration for text classification task.
   *  One of text_classification_config and text_entity_extraction_config
   *  is required.
   */
  // const textClassificationConfig = {}
  /**
   *  Configuration for entity extraction task.
   *  One of text_classification_config and text_entity_extraction_config
   *  is required.
   */
  // const textEntityExtractionConfig = {}
  /**
   *  Required. Name of the data set to request labeling task, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. Basic human annotation config.
   */
  // const basicConfig = {}
  /**
   *  Required. The type of text labeling task.
   */
  // const feature = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callLabelText() {
    // Construct request
    const request = {
      parent,
      basicConfig,
      feature,
    };

    // Run request
    const [operation] = await datalabelingClient.labelText(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callLabelText();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Configuration for video classification task.
   *  One of video_classification_config, object_detection_config,
   *  object_tracking_config and event_config is required.
   */
  // const videoClassificationConfig = {}
  /**
   *  Configuration for video object detection task.
   *  One of video_classification_config, object_detection_config,
   *  object_tracking_config and event_config is required.
   */
  // const objectDetectionConfig = {}
  /**
   *  Configuration for video object tracking task.
   *  One of video_classification_config, object_detection_config,
   *  object_tracking_config and event_config is required.
   */
  // const objectTrackingConfig = {}
  /**
   *  Configuration for video event task.
   *  One of video_classification_config, object_detection_config,
   *  object_tracking_config and event_config is required.
   */
  // const eventConfig = {}
  /**
   *  Required. Name of the dataset to request labeling task, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. Basic human annotation config.
   */
  // const basicConfig = {}
  /**
   *  Required. The type of video labeling task.
   */
  // const feature = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callLabelVideo() {
    // Construct request
    const request = {
      parent,
      basicConfig,
      feature,
    };

    // Run request
    const [operation] = await datalabelingClient.labelVideo(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callLabelVideo();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. AnnotationSpecSet resource parent, format:
   *  projects/{project_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. Annotation spec set to create. Annotation specs must be included.
   *  Only one annotation spec will be accepted for annotation specs with same
   *  display_name.
   */
  // const annotationSpecSet = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callCreateAnnotationSpecSet() {
    // Construct request
    const request = {
      parent,
      annotationSpecSet,
    };

    // Run request
    const response = await datalabelingClient.createAnnotationSpecSet(request);
    console.log(response);
  }

  callCreateAnnotationSpecSet();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Dataset resource parent, format:
   *  projects/{project_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. The dataset to be created.
   */
  // const dataset = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callCreateDataset() {
    // Construct request
    const request = {
      parent,
      dataset,
    };

    // Run request
    const response = await datalabelingClient.createDataset(request);
    console.log(response);
  }

  callCreateDataset();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Evaluation job resource parent. Format:
   *  "projects/{project_id}"
   */
  // const parent = 'abc123'
  /**
   *  Required. The evaluation job to create.
   */
  // const job = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callCreateEvaluationJob() {
    // Construct request
    const request = {
      parent,
      job,
    };

    // Run request
    const response = await datalabelingClient.createEvaluationJob(request);
    console.log(response);
  }

  callCreateEvaluationJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Instruction resource parent, format:
   *  projects/{project_id}
   */
  // const parent = 'abc123'
  /**
   *  Required. Instruction of how to perform the labeling task.
   */
  // const instruction = {}

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callCreateInstruction() {
    // Construct request
    const request = {
      parent,
      instruction,
    };

    // Run request
    const [operation] = await datalabelingClient.createInstruction(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callCreateInstruction();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Name of the annotated dataset to delete, format:
   *  projects/{project_id}/datasets/{dataset_id}/annotatedDatasets/
   *  {annotated_dataset_id}
   */
  // const name = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callDeleteAnnotatedDataset() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await datalabelingClient.deleteAnnotatedDataset(request);
    console.log(response);
  }

  callDeleteAnnotatedDataset();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. AnnotationSpec resource name, format:
   *  `projects/{project_id}/annotationSpecSets/{annotation_spec_set_id}`.
   */
  // const name = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callDeleteAnnotationSpecSet() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await datalabelingClient.deleteAnnotationSpecSet(request);
    console.log(response);
  }

  callDeleteAnnotationSpecSet();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Dataset resource name, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const name = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callDeleteDataset() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await datalabelingClient.deleteDataset(request);
    console.log(response);
  }

  callDeleteDataset();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Name of the evaluation job that is going to be deleted. Format:
   *  "projects/{project_id}/evaluationJobs/{evaluation_job_id}"
   */
  // const name = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callDeleteEvaluationJob() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await datalabelingClient.deleteEvaluationJob(request);
    console.log(response);
  }

  callDeleteEvaluationJob();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Instruction resource name, format:
   *  projects/{project_id}/instructions/{instruction_id}
   */
  // const name = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callDeleteInstruction() {
    // Construct request
    const request = {
      name,
    };

    // Run request
    const response = await datalabelingClient.deleteInstruction(request);
    console.log(response);
  }

  callDeleteInstruction();

  /**
   * This snippet has been automatically generated and should be regarded as a code template only.
   * It will require modifications to work.
   * It may require correct/in-range values for request initialization.
   * TODO(developer): Uncomment these variables before running the sample.
   */
  /**
   *  Required. Dataset resource name, format:
   *  projects/{project_id}/datasets/{dataset_id}
   */
  // const name = 'abc123'
  /**
   *  Required. Annotated dataset resource name. DataItem in
   *  Dataset and their annotations in specified annotated dataset will be
   *  exported. It's in format of
   *  projects/{project_id}/datasets/{dataset_id}/annotatedDatasets/
   *  {annotated_dataset_id}
   */
  // const annotatedDataset = 'abc123'
  /**
   *  Optional. Filter is not supported at this moment.
   */
  // const filter = 'abc123'
  /**
   *  Required. Specify the output destination.
   */
  // const outputConfig = {}
  /**
   *  Email of the user who started the export task and should be notified by
   *  email. If empty no notification will be sent.
   */
  // const userEmailAddress = 'abc123'

  // Imports the Datalabeling library
  const {DataLabelingServiceClient} = require('@google-cloud/datalabeling').v1beta1;

  // Instantiates a client
  const datalabelingClient = new DataLabelingServiceClient();

  async function callExportData() {
    // Construct request
    const request = {
      name,
      annotatedDataset,
      outputConfig,
    };

    // Run request
    const [operation] = await datalabelingClient.exportData(request);
    const [response] = await operation.promise();
    console.log(response);
  }

  callExportData();