diff options
| -rw-r--r-- | tests/test_transform_lambda.py | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/tests/test_transform_lambda.py b/tests/test_transform_lambda.py index 5121905..516f83b 100644 --- a/tests/test_transform_lambda.py +++ b/tests/test_transform_lambda.py @@ -39,8 +39,8 @@ class TestReadFromS3: ) print(result) expected_df = pd.DataFrame( - np.array([["Vegetable", "Sour", "Green"], ["Berry", "Sweet", "Red"]]), - columns=["Food_type", "Flavour", "Colour"], + np.array([["Vegetable", "Sour", "Green", "2022-11-03 14:20:49.962"], ["Berry", "Sweet", "Red", "2022-11-03 14:20:49.962"]]), + columns=["Food_type", "Flavour", "Colour", "last_updated"], ) assert isinstance(result, dict) assert list(result.keys())[0] == "Foods" @@ -56,8 +56,8 @@ class TestReadFromS3: tables, bucket="dummy_buc", client=s3_client ) expected_foods_df = pd.DataFrame( - np.array([["Vegetable", "Sour", "Green"], ["Berry", "Sweet", "Red"]]), - columns=["Food_type", "Flavour", "Colour"], + np.array([["Vegetable", "Sour", "Green", "2022-11-03 14:20:49.962"], ["Berry", "Sweet", "Red", "2022-11-03 14:20:49.962"]]), + columns=["Food_type", "Flavour", "Colour", "last_updated"], ) expected_cars_df = pd.DataFrame( np.array( @@ -72,3 +72,5 @@ class TestReadFromS3: assert list(result.keys()) == tables assert result["Foods"].eq(expected_foods_df, axis="columns").all(axis=None) assert result["Cars"].eq(expected_cars_df, axis="columns").all(axis=None) + + |