def list_datasets()

in automl/snippets/list_datasets.py [0:0]
48 lines of code
3 McCabe index (conditional complexity)

def list_datasets(project_id):
    """List datasets."""
    # [START automl_language_entity_extraction_list_datasets]
    # [START automl_language_sentiment_analysis_list_datasets]
    # [START automl_language_text_classification_list_datasets]
    # [START automl_translate_list_datasets]
    # [START automl_vision_classification_list_datasets]
    # [START automl_vision_object_detection_list_datasets]
    from google.cloud import automl

    # TODO(developer): Uncomment and set the following variables
    # project_id = "YOUR_PROJECT_ID"

    client = automl.AutoMlClient()
    # A resource that represents Google Cloud Platform location.
    project_location = f"projects/{project_id}/locations/us-central1"

    # List all the datasets available in the region.
    request = automl.ListDatasetsRequest(parent=project_location, filter="")
    response = client.list_datasets(request=request)

    print("List of datasets:")
    for dataset in response:
        print(f"Dataset name: {dataset.name}")
        print("Dataset id: {}".format(dataset.name.split("/")[-1]))
        print(f"Dataset display name: {dataset.display_name}")
        print(f"Dataset create time: {dataset.create_time}")
        # [END automl_language_sentiment_analysis_list_datasets]
        # [END automl_language_text_classification_list_datasets]
        # [END automl_translate_list_datasets]
        # [END automl_vision_classification_list_datasets]
        # [END automl_vision_object_detection_list_datasets]
        print(
            "Text extraction dataset metadata: {}".format(
                dataset.text_extraction_dataset_metadata
            )
        )
        # [END automl_language_entity_extraction_list_datasets]

        # [START automl_language_sentiment_analysis_list_datasets]
        print(
            "Text sentiment dataset metadata: {}".format(
                dataset.text_sentiment_dataset_metadata
            )
        )
        # [END automl_language_sentiment_analysis_list_datasets]

        # [START automl_language_text_classification_list_datasets]
        print(
            "Text classification dataset metadata: {}".format(
                dataset.text_classification_dataset_metadata
            )
        )
        # [END automl_language_text_classification_list_datasets]

        # [START automl_translate_list_datasets]
        print("Translation dataset metadata:")
        print(
            "\tsource_language_code: {}".format(
                dataset.translation_dataset_metadata.source_language_code
            )
        )
        print(
            "\ttarget_language_code: {}".format(
                dataset.translation_dataset_metadata.target_language_code
            )
        )
        # [END automl_translate_list_datasets]

        # [START automl_vision_classification_list_datasets]
        print(
            "Image classification dataset metadata: {}".format(
                dataset.image_classification_dataset_metadata
            )
        )
        # [END automl_vision_classification_list_datasets]

        # [START automl_vision_object_detection_list_datasets]
        print(
            "Image object detection dataset metadata: {}".format(
                dataset.image_object_detection_dataset_metadata
            )
        )