PrivacyScanData/target/Azure/test_oracle_to_azure_data_lake_1.py

def test_write_temp_file(self):
        task_id = "some_test_id"
        sql = "some_sql"
        sql_params = {':p_data': "2018-01-01"}
        oracle_conn_id = "oracle_conn_id"
        filename = "some_filename"
        azure_data_lake_conn_id = 'azure_data_lake_conn_id'
        azure_data_lake_path = 'azure_data_lake_path'
        delimiter = '|'
        encoding = 'utf-8'
        cursor_description = [
            ('id', "<class 'cx_Oracle.NUMBER'>", 39, None, 38, 0, 0),
            ('description', "<class 'cx_Oracle.STRING'>", 60, 240, None, None, 1),
        ]
        cursor_rows = [[1, 'description 1'], [2, 'description 2']]
        mock_cursor = MagicMock()
        mock_cursor.description = cursor_description
        mock_cursor.__iter__.return_value = cursor_rows

        op = OracleToAzureDataLakeOperator(
            task_id=task_id,
            filename=filename,
            oracle_conn_id=oracle_conn_id,
            sql=sql,
            sql_params=sql_params,
            azure_data_lake_conn_id=azure_data_lake_conn_id,
            azure_data_lake_path=azure_data_lake_path,
            delimiter=delimiter,
            encoding=encoding,
        )

        with TemporaryDirectory(prefix='airflow_oracle_to_azure_op_') as temp:
            op._write_temp_file(mock_cursor, os.path.join(temp, filename))

            assert os.path.exists(os.path.join(temp, filename)) == 1

            with open(os.path.join(temp, filename), 'rb') as csvfile:
                temp_file = csv.reader(csvfile, delimiter=delimiter, encoding=encoding)

                rownum = 0
                for row in temp_file:
                    if rownum == 0:
                        assert row[0] == 'id'
                        assert row[1] == 'description'
                    else:
                        assert row[0] == str(cursor_rows[rownum - 1][0])
                        assert row[1] == cursor_rows[rownum - 1][1]
                    rownum = rownum + 1