text: # Copyright Contributors to the Amundsen project.
  # SPDX-License-Identifier: Apache-2.0
  
  import logging
  import unittest
  from typing import Any, Dict
  
  from mock import MagicMock, patch
  from pyhocon import ConfigFactory
  
  from databuilder.extractor.hive_table_metadata_extractor import HiveTableMetadataExtractor
  from databuilder.extractor.sql_alchemy_extractor import SQLAlchemyExtractor
  from databuilder.models.table_metadata import ColumnMetadata, TableMetadata
  
  
  class TestHiveTableMetadataExtractor(unittest.TestCase):
      def setUp(self) -> None:
          logging.basicConfig(level=logging.INFO)
  
          config_dict = {
              f'extractor.sqlalchemy.{SQLAlchemyExtractor.CONN_STRING}': 'TEST_CONNECTION'
          }
          self.conf = ConfigFactory.from_dict(config_dict)
  
      def test_extraction_with_empty_query_result(self) -> None:
          """
          Test Extraction with empty result from query
          """
          with patch.object(SQLAlchemyExtractor, '_get_connection'), \
              patch.object(HiveTableMetadataExtractor, '_choose_default_sql_stm',
                           return_value=HiveTableMetadataExtractor.DEFAULT_SQL_STATEMENT):
              extractor = HiveTableMetadataExtractor()
              extractor.init(self.conf)
  
              results = extractor.extract()
              self.assertEqual(results, None)
  
      def test_extraction_with_single_result(self) -> None:
          with patch.object(SQLAlchemyExtractor, '_get_connection') as mock_connection, \
                  patch.object(HiveTableMetadataExtractor, '_choose_default_sql_stm',
                               return_value=HiveTableMetadataExtractor.DEFAULT_SQL_STATEMENT):
              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',
                       'is_view': 0}
  
              sql_execute.return_value = [
                  self._union(
                      {'col_name': 'col_id1',
                       'col_type': 'bigint',
                       'col_description': 'description of id1',
                       'col_sort_order': 0,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'col_id2',
                       'col_type': 'bigint',
                       'col_description': 'description of id2',
                       'col_sort_order': 1,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'is_active',
                       'col_type': 'boolean',
                       'col_description': None,
                       'col_sort_order': 2,
                       'is_partition_col': 1}, table),
                  self._union(
                      {'col_name': 'source',
                       'col_type': 'varchar',
                       'col_description': 'description of source',
                       'col_sort_order': 3,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'etl_created_at',
                       'col_type': 'timestamp',
                       'col_description': 'description of etl_created_at',
                       'col_sort_order': 4,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'ds',
                       'col_type': 'varchar',
                       'col_description': None,
                       'col_sort_order': 5,
                       'is_partition_col': 0}, table)
              ]
  
              extractor = HiveTableMetadataExtractor()
              extractor.init(self.conf)
              actual = extractor.extract()
              expected = TableMetadata('hive', 'gold', 'test_schema', 'test_table', 'a table for testing',
                                       [ColumnMetadata('col_id1', 'description of id1', 'bigint', 0),
                                        ColumnMetadata('col_id2', 'description of id2', 'bigint', 1),
                                        ColumnMetadata('is_active', None, 'boolean', 2, ['partition column']),
                                        ColumnMetadata('source', 'description of source', 'varchar', 3),
                                        ColumnMetadata('etl_created_at', 'description of etl_created_at', 'timestamp',
                                                       4),
                                        ColumnMetadata('ds', None, 'varchar', 5)],
                                       is_view=False)
  
              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, \
                  patch.object(HiveTableMetadataExtractor, '_choose_default_sql_stm',
                               return_value=HiveTableMetadataExtractor.DEFAULT_SQL_STATEMENT):
              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',
                       'is_view': 0}
  
              table1 = {'schema': 'test_schema1',
                        'name': 'test_table2',
                        'description': 'test table 2',
                        'is_view': 0}
  
              table2 = {'schema': 'test_schema2',
                        'name': 'test_table3',
                        'description': 'test table 3',
                        'is_view': 0}
  
              sql_execute.return_value = [
                  self._union(
                      {'col_name': 'col_id1',
                       'col_type': 'bigint',
                       'col_description': 'description of col_id1',
                       'col_sort_order': 0,
                       'is_partition_col': 1}, table),
                  self._union(
                      {'col_name': 'col_id2',
                       'col_type': 'bigint',
                       'col_description': 'description of col_id2',
                       'col_sort_order': 1,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'is_active',
                       'col_type': 'boolean',
                       'col_description': None,
                       'col_sort_order': 2,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'source',
                       'col_type': 'varchar',
                       'col_description': 'description of source',
                       'col_sort_order': 3,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'etl_created_at',
                       'col_type': 'timestamp',
                       'col_description': 'description of etl_created_at',
                       'col_sort_order': 4,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'ds',
                       'col_type': 'varchar',
                       'col_description': None,
                       'col_sort_order': 5,
                       'is_partition_col': 0}, table),
                  self._union(
                      {'col_name': 'col_name',
                       'col_type': 'varchar',
                       'col_description': 'description of col_name',
                       'col_sort_order': 0,
                       'is_partition_col': 0}, table1),
                  self._union(
                      {'col_name': 'col_name2',
                       'col_type': 'varchar',
                       'col_description': 'description of col_name2',
                       'col_sort_order': 1,
                       'is_partition_col': 0}, table1),
                  self._union(
                      {'col_name': 'col_id3',
                       'col_type': 'varchar',
                       'col_description': 'description of col_id3',
                       'col_sort_order': 0,
                       'is_partition_col': 0}, table2),
                  self._union(
                      {'col_name': 'col_name3',
                       'col_type': 'varchar',
                       'col_description': 'description of col_name3',
                       'col_sort_order': 1,
                       'is_partition_col': 0}, table2)
              ]
  
              extractor = HiveTableMetadataExtractor()
              extractor.init(self.conf)
  
              expected = TableMetadata('hive', 'gold', 'test_schema1', 'test_table1', 'test table 1',
                                       [ColumnMetadata('col_id1', 'description of col_id1', 'bigint', 0,
                                                       ['partition column']),
                                        ColumnMetadata('col_id2', 'description of col_id2', 'bigint', 1),
                                        ColumnMetadata('is_active', None, 'boolean', 2),
                                        ColumnMetadata('source', 'description of source', 'varchar', 3),
                                        ColumnMetadata('etl_created_at', 'description of etl_created_at',
                                                       'timestamp', 4),
                                        ColumnMetadata('ds', None, 'varchar', 5)],
                                       is_view=False)
              self.assertEqual(expected.__repr__(), extractor.extract().__repr__())
  
              expected = TableMetadata('hive', 'gold', '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)],
                                       is_view=False)
              self.assertEqual(expected.__repr__(), extractor.extract().__repr__())
  
              expected = TableMetadata('hive', 'gold', '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)],
                                       is_view=False)
              self.assertEqual(expected.__repr__(), extractor.extract().__repr__())
  
              self.assertIsNone(extractor.extract())
              self.assertIsNone(extractor.extract())
  
      def _union(self,
                 target: Dict[Any, Any],
                 extra: Dict[Any, Any]) -> Dict[Any, Any]:
          target.update(extra)
          return target
  
  
  class TestHiveTableMetadataExtractorWithWhereClause(unittest.TestCase):
      def setUp(self) -> None:
          logging.basicConfig(level=logging.INFO)
          self.where_clause_suffix = """
          AND d.NAME IN ('test_schema1', 'test_schema2')
          AND t.TBL_NAME NOT REGEXP '^[0-9]+'"""
  
          config_dict = {
              HiveTableMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY: self.where_clause_suffix,
              f'extractor.sqlalchemy.{SQLAlchemyExtractor.CONN_STRING}': 'TEST_CONNECTION'
          }
          self.conf = ConfigFactory.from_dict(config_dict)
  
      def test_sql_statement(self) -> None:
          """
          Test Extraction with empty result from query
          """
          with patch.object(SQLAlchemyExtractor, '_get_connection'), \
              patch.object(HiveTableMetadataExtractor, '_choose_default_sql_stm',
                           return_value=HiveTableMetadataExtractor.DEFAULT_SQL_STATEMENT):
              extractor = HiveTableMetadataExtractor()
              extractor.init(self.conf)
              self.assertTrue(self.where_clause_suffix in extractor.sql_stmt)
  
      def test_hive_sql_statement_with_custom_sql(self) -> None:
          """
          Test Extraction by providing a custom sql
          :return:
          """
          with patch.object(SQLAlchemyExtractor, '_get_connection'), \
              patch.object(HiveTableMetadataExtractor, '_choose_default_sql_stm',
                           return_value=HiveTableMetadataExtractor.DEFAULT_SQL_STATEMENT):
              config_dict = {
                  HiveTableMetadataExtractor.WHERE_CLAUSE_SUFFIX_KEY: self.where_clause_suffix,
                  f'extractor.sqlalchemy.{SQLAlchemyExtractor.CONN_STRING}': 'TEST_CONNECTION',
                  HiveTableMetadataExtractor.EXTRACT_SQL:
                      'select sth for test {where_clause_suffix}'
              }
              conf = ConfigFactory.from_dict(config_dict)
              extractor = HiveTableMetadataExtractor()
              extractor.init(conf)
              self.assertTrue('select sth for test' in extractor.sql_stmt)
  
  
  if __name__ == '__main__':
      unittest.main()
  