text: #
  # Licensed to the Apache Software Foundation (ASF) under one
  # or more contributor license agreements.  See the NOTICE file
  # distributed with this work for additional information
  # regarding copyright ownership.  The ASF licenses this file
  # to you under the Apache License, Version 2.0 (the
  # "License"); you may not use this file except in compliance
  # with the License.  You may obtain a copy of the License at
  #
  #   http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing,
  # software distributed under the License is distributed on an
  # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  # KIND, either express or implied.  See the License for the
  # specific language governing permissions and limitations
  # under the License.
  #
  
  import datetime
  import json
  import unittest
  from unittest import mock
  
  import pandas as pd
  
  import airflow.providers.amazon.aws.operators.hive_to_dynamodb
  from airflow.models.dag import DAG
  from airflow.providers.amazon.aws.hooks.aws_dynamodb import AwsDynamoDBHook
  
  DEFAULT_DATE = datetime.datetime(2015, 1, 1)
  DEFAULT_DATE_ISO = DEFAULT_DATE.isoformat()
  DEFAULT_DATE_DS = DEFAULT_DATE_ISO[:10]
  
  try:
      from moto import mock_dynamodb2
  except ImportError:
      mock_dynamodb2 = None
  
  
  class TestHiveToDynamoDBTransferOperator(unittest.TestCase):
  
      def setUp(self):
          args = {'owner': 'airflow', 'start_date': DEFAULT_DATE}
          dag = DAG('test_dag_id', default_args=args)
          self.dag = dag
          self.sql = 'SELECT 1'
          self.hook = AwsDynamoDBHook(
              aws_conn_id='aws_default', region_name='us-east-1')
  
      @staticmethod
      def process_data(data, *args, **kwargs):
          return json.loads(data.to_json(orient='records'))
  
      @unittest.skipIf(mock_dynamodb2 is None, 'mock_dynamodb2 package not present')
      @mock_dynamodb2
      def test_get_conn_returns_a_boto3_connection(self):
          hook = AwsDynamoDBHook(aws_conn_id='aws_default')
          self.assertIsNotNone(hook.get_conn())
  
      @mock.patch('airflow.providers.apache.hive.hooks.hive.HiveServer2Hook.get_pandas_df',
                  return_value=pd.DataFrame(data=[('1', 'sid')], columns=['id', 'name']))
      @unittest.skipIf(mock_dynamodb2 is None, 'mock_dynamodb2 package not present')
      @mock_dynamodb2
      def test_get_records_with_schema(self, mock_get_pandas_df):
          # this table needs to be created in production
          self.hook.get_conn().create_table(
              TableName='test_airflow',
              KeySchema=[
                  {
                      'AttributeName': 'id',
                      'KeyType': 'HASH'
                  },
              ],
              AttributeDefinitions=[
                  {
                      'AttributeName': 'id',
                      'AttributeType': 'S'
                  }
              ],
              ProvisionedThroughput={
                  'ReadCapacityUnits': 10,
                  'WriteCapacityUnits': 10
              }
          )
  
          operator = airflow.providers.amazon.aws.operators.hive_to_dynamodb.HiveToDynamoDBTransferOperator(
              sql=self.sql,
              table_name="test_airflow",
              task_id='hive_to_dynamodb_check',
              table_keys=['id'],
              dag=self.dag)
  
          operator.execute(None)
  
          table = self.hook.get_conn().Table('test_airflow')
          table.meta.client.get_waiter(
              'table_exists').wait(TableName='test_airflow')
          self.assertEqual(table.item_count, 1)
  
      @mock.patch('airflow.providers.apache.hive.hooks.hive.HiveServer2Hook.get_pandas_df',
                  return_value=pd.DataFrame(data=[('1', 'sid'), ('1', 'gupta')], columns=['id', 'name']))
      @unittest.skipIf(mock_dynamodb2 is None, 'mock_dynamodb2 package not present')
      @mock_dynamodb2
      def test_pre_process_records_with_schema(self, mock_get_pandas_df):
          # this table needs to be created in production
          self.hook.get_conn().create_table(
              TableName='test_airflow',
              KeySchema=[
                  {
                      'AttributeName': 'id',
                      'KeyType': 'HASH'
                  },
              ],
              AttributeDefinitions=[
                  {
                      'AttributeName': 'id',
                      'AttributeType': 'S'
                  }
              ],
              ProvisionedThroughput={
                  'ReadCapacityUnits': 10,
                  'WriteCapacityUnits': 10
              }
          )
  
          operator = airflow.providers.amazon.aws.operators.hive_to_dynamodb.HiveToDynamoDBTransferOperator(
              sql=self.sql,
              table_name='test_airflow',
              task_id='hive_to_dynamodb_check',
              table_keys=['id'],
              pre_process=self.process_data,
              dag=self.dag)
  
          operator.execute(None)
  
          table = self.hook.get_conn().Table('test_airflow')
          table.meta.client.get_waiter('table_exists').wait(TableName='test_airflow')
          self.assertEqual(table.item_count, 1)
  
  
  if __name__ == '__main__':
      unittest.main()
  