diff options
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/test_extract_lambda.py | 39 |
1 files changed, 23 insertions, 16 deletions
diff --git a/tests/test_extract_lambda.py b/tests/test_extract_lambda.py index 01d7add..a4e8f2b 100644 --- a/tests/test_extract_lambda.py +++ b/tests/test_extract_lambda.py @@ -179,29 +179,36 @@ class TestConnectToDatabase: class TestProcessAndUploadTables: def test_error_process_and_upload_tables(mock_conn, s3_client, caplog): - logger = logging.getLogger() - logger.info('Testing now.') caplog.set_level(logging.INFO) - #### + + # Mock return values for database queries queries = [ "SELECT table_name FROM information_schema.tables WHERE table_schema='public' AND table_type='BASE TABLE';", - "SELECT * FROM Fruits;", - "SELECT column_name FROM INFORMATION_SCHEMA.COLUMNS where table_name = 'Fruits'" - ] - return_values = [[['Fruits']], - [['Vegetable','Sour','Green','2022-11-03 14:20:49.962'],['Berry','Sweet','Red','2022-11-03 14:20:49.962']], - [['Food_type'],['Flavour'],['Colour'],['last_updated']]] # why are individual column names in lists - vals = dict(zip(queries,return_values)) - # {"SELECT table_name FROM information_schema.tables WHERE table_schema='public' AND table_type='BASE TABLE';": [['Fruits']], 'SELECT * FROM Fruits;': [['Vegetable', 'Sour', 'Green'], ['Berry', 'Sweet', 'Red']], "SELECT column_name FROM INFORMATION_SCHEMA.COLUMNS where table_name = 'Fruits'": [['Food_type'], ['Flavour'], ['Colour']]} + "SELECT * FROM Fruits WHERE last_updated > :latest;", + "SELECT column_name FROM INFORMATION_SCHEMA.COLUMNS where table_name = 'Fruits';" + ] + return_values = [ + [['Fruits']], + [], # No new rows with a more recent last_updated timestamp + [['Food_type'], ['Flavour'], ['Colour'], ['last_updated']] + ] + vals = dict(zip(queries, return_values)) + # Patch the database connection and set return values for queries with patch('src.extract_lambda.Connection') as mock_db: mock_db().run.side_effect = return_values s3_key = 'Fruits/2024/08/15/Fruits_16:46:30.csv' - existing_files = {s3_key: 'Food_type,Flavour,Colour,last_updated\nVegetable,Sour,Green,2022-11-03 14:20:49.962\nBerry,Sweet,Red, 2022-11-03 14:20:49.962'} + existing_files = { + s3_key: 'Food_type,Flavour,Colour,last_updated\nVegetable,Sour,Green,2022-11-03 14:20:49.962\nBerry,Sweet,Red,2022-11-03 14:20:49.962' + } + + # Simulate S3 bucket and file setup s3_client.create_bucket(Bucket='test_extract_bucket', - CreateBucketConfiguration={'LocationConstraint': 'eu-west-2'}) + CreateBucketConfiguration={'LocationConstraint': 'eu-west-2'}) s3_client.upload_file('tests/dummy_identical.csv', 'test_extract_bucket', s3_key) + + # Run the process_and_upload_tables function process_and_upload_tables(mock_db(), existing_files, client=s3_client) - print('logger', logger.info('hello')) - print('our test', caplog.text) - assert 'No new data' in caplog.text
\ No newline at end of file + + # Assert that the log contains "No new data" + assert 'No new data' in caplog.text |