How to use the pydomo.datasets.DataSetRequest function in pydomo

def streams(self, domo):
        '''Streams are useful for uploading massive data sources in
        chunks, in parallel. They are also useful with data sources that
        are constantly changing/growing.
        Streams Docs: https://developer.domo.com/docs/data-apis/data
        '''
        domo.logger.info("\n**** Domo API - Stream Examples ****\n")
        streams = domo.streams

        # Define a DataSet Schema to populate the Stream Request
        dsr = DataSetRequest()
        dsr.name = 'Leonhard Euler Party'
        dsr.description = 'Mathematician Guest List'
        dsr.schema = Schema([Column(ColumnType.STRING, 'Friend'),
                             Column(ColumnType.STRING, 'Attending')])

        # Build a Stream Request
        stream_request = CreateStreamRequest(dsr, UpdateMethod.APPEND)

        # Create a Stream w/DataSet
        stream = streams.create(stream_request)
        domo.logger.info("Created Stream {} containing the new DataSet {}"
                         .format(stream['id'], stream['dataSet']['id']))

        # Get a Stream's metadata
        retrieved_stream = streams.get(stream['id'])
        domo.logger.info("Retrieved Stream {} containing DataSet {}".format(

# Create a DataSet with the given Schema
        dataset = datasets.create(dsr)
        domo.logger.info("Created DataSet " + dataset['id'])

        # Get a DataSets's metadata
        retrieved_dataset = datasets.get(dataset['id'])
        domo.logger.info("Retrieved DataSet " + retrieved_dataset['id'])

        # List DataSets
        dataset_list = list(datasets.list(sort=Sorting.NAME, limit=10))
        domo.logger.info("Retrieved a list containing {} DataSet(s)".format(
            len(dataset_list)))

        # Update a DataSets's metadata
        update = DataSetRequest()
        update.name = 'Leonhard Euler Party - Update'
        update.description = 'Mathematician Guest List - Update'
        update.schema = Schema([Column(ColumnType.STRING, 'Friend'),
                                Column(ColumnType.STRING, 'Attending')])
        updated_dataset = datasets.update(dataset['id'], update)
        domo.logger.info("Updated DataSet {}: {}".format(updated_dataset['id'],
                                                         updated_dataset['name']))

        # Import Data from a string
        csv_upload = '"Pythagoras","FALSE"\n"Alan Turing","TRUE"\n' \
                     '"George Boole","TRUE"'
        datasets.data_import(dataset['id'], csv_upload)
        domo.logger.info("Uploaded data to DataSet " + dataset['id'])

        # Export Data to a string
        include_csv_header = True

def datasets(self, domo):
        '''

        DataSets are useful for data sources that only require occasional replacement. See the docs at
        https://developer.domo.com/docs/data-apis/data

        '''
        domo.logger.info("\n**** Domo API - DataSet Examples ****\n")
        datasets = domo.datasets

        # Define a DataSet Schema
        dsr = DataSetRequest()
        dsr.name = 'Leonhard Euler Party'
        dsr.description = 'Mathematician Guest List'
        dsr.schema = Schema([Column(ColumnType.STRING, 'Friend')])

        # Create a DataSet with the given Schema
        dataset = datasets.create(dsr)
        domo.logger.info("Created DataSet " + dataset['id'])

        # Get a DataSets's metadata
        retrieved_dataset = datasets.get(dataset['id'])
        domo.logger.info("Retrieved DataSet " + retrieved_dataset['id'])

        # List DataSets
        dataset_list = list(datasets.list(sort=Sorting.NAME, limit=10))
        domo.logger.info("Retrieved a list containing {} DataSet(s)".format(
            len(dataset_list)))