def test_extraction_with_database_specified(self): # type: () -> None with patch.object(SQLAlchemyExtractor, '_get_connection') as mock_connection: connection = MagicMock() mock_connection.return_value = connection sql_execute = MagicMock() connection.execute = sql_execute sql_execute.return_value = [{ 'schema': 'test_schema', 'name': 'test_table', 'description': 'a table for testing', 'cluster': 'MY_CLUSTER', 'is_view': 'false', 'col_name': 'ds', 'col_type': 'varchar', 'col_description': None, 'col_sort_order': 0 }] extractor = SnowflakeMetadataExtractor() extractor.init(self.conf) actual = extractor.extract() expected = TableMetadata( self.database_key, 'MY_CLUSTER', 'test_schema', 'test_table', 'a table for testing', [ColumnMetadata('ds', None, 'varchar', 0)]) self.assertEqual(expected.__repr__(), actual.__repr__()) self.assertIsNone(extractor.extract())
def test_extraction_with_empty_query_result(self) -> None: """ Test Extraction with empty result from query """ with patch.object(SQLAlchemyExtractor, '_get_connection'): extractor = SnowflakeMetadataExtractor() extractor.init(self.conf) results = extractor.extract() self.assertEqual(results, None)
def test_extraction_with_single_result(self): # type: () -> None with patch.object(SQLAlchemyExtractor, '_get_connection') as mock_connection: connection = MagicMock() mock_connection.return_value = connection sql_execute = MagicMock() connection.execute = sql_execute table = { 'schema': 'test_schema', 'name': 'test_table', 'description': 'a table for testing', 'cluster': self.conf['extractor.snowflake_metadata.{}'.format( SnowflakeMetadataExtractor.CLUSTER_KEY)], 'is_view': 'false' } sql_execute.return_value = [ self._union( { 'col_name': 'col_id1', 'col_type': 'number', 'col_description': 'description of id1', 'col_sort_order': 0 }, table), self._union( { 'col_name': 'col_id2', 'col_type': 'number', 'col_description': 'description of id2', 'col_sort_order': 1 }, table), self._union( { 'col_name': 'is_active', 'col_type': 'boolean', 'col_description': None, 'col_sort_order': 2 }, table), self._union( { 'col_name': 'source', 'col_type': 'varchar', 'col_description': 'description of source', 'col_sort_order': 3 }, table), self._union( { 'col_name': 'etl_created_at', 'col_type': 'timestamp_ltz', 'col_description': 'description of etl_created_at', 'col_sort_order': 4 }, table), self._union( { 'col_name': 'ds', 'col_type': 'varchar', 'col_description': None, 'col_sort_order': 5 }, table) ] extractor = SnowflakeMetadataExtractor() extractor.init(self.conf) actual = extractor.extract() expected = TableMetadata( 'snowflake', 'MY_CLUSTER', 'test_schema', 'test_table', 'a table for testing', [ ColumnMetadata('col_id1', 'description of id1', 'number', 0), ColumnMetadata('col_id2', 'description of id2', 'number', 1), ColumnMetadata('is_active', None, 'boolean', 2), ColumnMetadata('source', 'description of source', 'varchar', 3), ColumnMetadata('etl_created_at', 'description of etl_created_at', 'timestamp_ltz', 4), ColumnMetadata('ds', None, 'varchar', 5) ]) self.assertEqual(expected.__repr__(), actual.__repr__()) self.assertIsNone(extractor.extract())
def test_extraction_with_multiple_result(self) -> None: with patch.object(SQLAlchemyExtractor, '_get_connection') as mock_connection: connection = MagicMock() mock_connection.return_value = connection sql_execute = MagicMock() connection.execute = sql_execute table = { 'schema': 'test_schema1', 'name': 'test_table1', 'description': 'test table 1', 'cluster': self.conf[ f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'], 'is_view': 'nottrue' } table1 = { 'schema': 'test_schema1', 'name': 'test_table2', 'description': 'test table 2', 'cluster': self.conf[ f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'], 'is_view': 'false' } table2 = { 'schema': 'test_schema2', 'name': 'test_table3', 'description': 'test table 3', 'cluster': self.conf[ f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'], 'is_view': 'true' } sql_execute.return_value = [ self._union( { 'col_name': 'col_id1', 'col_type': 'number', 'col_description': 'description of col_id1', 'col_sort_order': 0 }, table), self._union( { 'col_name': 'col_id2', 'col_type': 'number', 'col_description': 'description of col_id2', 'col_sort_order': 1 }, table), self._union( { 'col_name': 'is_active', 'col_type': 'boolean', 'col_description': None, 'col_sort_order': 2 }, table), self._union( { 'col_name': 'source', 'col_type': 'varchar', 'col_description': 'description of source', 'col_sort_order': 3 }, table), self._union( { 'col_name': 'etl_created_at', 'col_type': 'timestamp_ltz', 'col_description': 'description of etl_created_at', 'col_sort_order': 4 }, table), self._union( { 'col_name': 'ds', 'col_type': 'varchar', 'col_description': None, 'col_sort_order': 5 }, table), self._union( { 'col_name': 'col_name', 'col_type': 'varchar', 'col_description': 'description of col_name', 'col_sort_order': 0 }, table1), self._union( { 'col_name': 'col_name2', 'col_type': 'varchar', 'col_description': 'description of col_name2', 'col_sort_order': 1 }, table1), self._union( { 'col_name': 'col_id3', 'col_type': 'varchar', 'col_description': 'description of col_id3', 'col_sort_order': 0 }, table2), self._union( { 'col_name': 'col_name3', 'col_type': 'varchar', 'col_description': 'description of col_name3', 'col_sort_order': 1 }, table2) ] extractor = SnowflakeMetadataExtractor() extractor.init(self.conf) expected = TableMetadata( 'snowflake', self.conf[ f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'], 'test_schema1', 'test_table1', 'test table 1', [ ColumnMetadata('col_id1', 'description of col_id1', 'number', 0), ColumnMetadata('col_id2', 'description of col_id2', 'number', 1), ColumnMetadata('is_active', None, 'boolean', 2), ColumnMetadata('source', 'description of source', 'varchar', 3), ColumnMetadata('etl_created_at', 'description of etl_created_at', 'timestamp_ltz', 4), ColumnMetadata('ds', None, 'varchar', 5) ]) self.assertEqual(expected.__repr__(), extractor.extract().__repr__()) expected = TableMetadata( 'snowflake', self.conf[ f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'], 'test_schema1', 'test_table2', 'test table 2', [ ColumnMetadata('col_name', 'description of col_name', 'varchar', 0), ColumnMetadata('col_name2', 'description of col_name2', 'varchar', 1) ]) self.assertEqual(expected.__repr__(), extractor.extract().__repr__()) expected = TableMetadata( 'snowflake', self.conf[ f'extractor.snowflake_metadata.{SnowflakeMetadataExtractor.CLUSTER_KEY}'], 'test_schema2', 'test_table3', 'test table 3', [ ColumnMetadata('col_id3', 'description of col_id3', 'varchar', 0), ColumnMetadata('col_name3', 'description of col_name3', 'varchar', 1) ], True) self.assertEqual(expected.__repr__(), extractor.extract().__repr__()) self.assertIsNone(extractor.extract()) self.assertIsNone(extractor.extract())