diff options
Diffstat (limited to 'tests/test_dataframes.py')
| -rw-r--r-- | tests/test_dataframes.py | 43 |
1 files changed, 26 insertions, 17 deletions
diff --git a/tests/test_dataframes.py b/tests/test_dataframes.py index cc133fe..785a3fd 100644 --- a/tests/test_dataframes.py +++ b/tests/test_dataframes.py @@ -54,7 +54,8 @@ class TestCreateDimStaff: "email_address": ["Hello", "Bye"], "department_id": ["Hello", "Bye"], } - test_df = {"staff": pd.DataFrame(data=d), "department": pd.DataFrame(data=d2)} + test_df = {"staff": pd.DataFrame( + data=d), "department": pd.DataFrame(data=d2)} result = create_dim_staff(test_df) assert isinstance(result, pd.DataFrame) @@ -71,7 +72,8 @@ class TestCreateDimStaff: "email_address": ["Hello", "Bye"], "department_id": ["Hello", "Bye"], } - test_df = {"staff": pd.DataFrame(data=d), "department": pd.DataFrame(data=d2)} + test_df = {"staff": pd.DataFrame( + data=d), "department": pd.DataFrame(data=d2)} result = create_dim_staff(test_df) expected_d = { "staff_id": ["Hello", "Bye"], @@ -88,7 +90,8 @@ class TestCreateDimStaff: class TestCreatePaymentType: def test_create_dim_payment_type_returns_correct_columns_and_values(self): - d = {"payment_type_id": ["Hello", "Bye"], "payment_type_name": ["Hello", "Bye"]} + d = {"payment_type_id": ["Hello", "Bye"], + "payment_type_name": ["Hello", "Bye"]} test_df = {"payment_type": pd.DataFrame(data=d)} result = create_dim_payment_type(test_df) expected_columns = ["payment_type_id", "payment_type_name"] @@ -180,11 +183,13 @@ class TestCreateDimDate: index=[0], ) df_two = pd.DataFrame( - data={"updated_date": dt(2020, 5, 17), "created_date": dt(2021, 9, 13)}, + data={"updated_date": dt(2020, 5, 17), + "created_date": dt(2021, 9, 13)}, index=[0], ) df_three = pd.DataFrame( - data={"updated_date": dt(2022, 5, 17), "created_date": dt(2023, 5, 13)}, + data={"updated_date": dt(2022, 5, 17), + "created_date": dt(2023, 5, 13)}, index=[0], ) expected_df = pd.DataFrame( @@ -214,7 +219,8 @@ class TestCreateDimDate: mock_fso.return_value = df_three result = create_dim_date({"dum": 0}) result.reset_index(inplace=True, drop=True) - assert result.eq(expected_df, axis="columns").all(axis=None) + assert result.eq( + expected_df, axis="columns").all(axis=None) class TestCreateDimLocation: @@ -222,7 +228,8 @@ class TestCreateDimLocation: dict_df = { "address": pd.DataFrame( data=[["some_time", "some_other_time", 1, "SE18 9QO"]], - columns=["created_at", "last_updated", "address_id", "postal_code"], + columns=["created_at", "last_updated", + "address_id", "postal_code"], ) } result = create_dim_location(dict_df) @@ -252,7 +259,7 @@ class TestCreateFactPayment: "payment": pd.DataFrame( data=[ [ -<<<<<<< HEAD + << << << < HEAD dt.strptime( "2022-11-03 14:20:49.962846", "%Y-%m-%d %H:%M:%S.%f" ), @@ -262,13 +269,13 @@ class TestCreateFactPayment: 1, "SE18 9QO", "2020-07-16", -======= + == == === dt(2020, 5, 17, 6, 15, 20), dt(2020, 5, 20, 8, 19, 30), 1, "SE18 9QO", "2020-7-16", ->>>>>>> 5db3f61 (style: format code with Autopep8, Black and Ruff Formatter) + >>>>>> > 5db3f61(style: format code with Autopep8, Black and Ruff Formatter) ] ], columns=[ @@ -295,10 +302,12 @@ class TestCreateFactPayment: for col in list(result.columns): assert col in expected_cols for col in expected_cols: -<<<<<<< HEAD - if "_date" or "_time" in col: - assert result[col].dtype == "O" -======= - if "date" in col: - assert result[col].dtype == "datetime64[ns]" ->>>>>>> 5db3f61 (style: format code with Autopep8, Black and Ruff Formatter) + + +<< << << < HEAD +if "_date" or "_time" in col: + assert result[col].dtype == "O" +== == == = +if "date" in col: + assert result[col].dtype == "datetime64[ns]" +>>>>>> > 5db3f61(style: format code with Autopep8, Black and Ruff Formatter) |