from src.fact_sales_order import create_dim_design, create_dim_staff
import pandas as pd

class TestCreateDimDesign:
    def test_dim_design_returns_dataframe(self):
        d = {"test": ["Hello", "Bye"], "design_id": ["Hello", "Bye"], "design_name": ["Hello", "Bye"], 
                "file_name": ["Hello", "Bye"], "file_location": ["Hello", "Bye"], "Hello": ["Hello", "Bye"]}
        test_df = {"design": pd.DataFrame(data=d)}
        result = create_dim_design(test_df)
        assert isinstance(result, pd.DataFrame)

    def test_dim_design_returns_correct_columns_and_values(self):
        d = {"test": ["Hello", "Bye"], "design_id": ["Hello", "Bye"], "design_name": ["Hello", "Bye"], 
                "file_name": ["Hello", "Bye"], "file_location": ["Hello", "Bye"], "Hello": ["Hello", "Bye"]}
        test_df = {"design": pd.DataFrame(data=d)}
        result = create_dim_design(test_df)
        d2 = {"design_id": ["Hello", "Bye"], "design_name": ["Hello", "Bye"], "file_name": ["Hello", "Bye"], 
            "file_location": ["Hello", "Bye"]}
        expected_df = pd.DataFrame(data=d2)
        expected_result = expected_df.copy()
        assert result.equals(expected_result)

class TestCreateDimStaff:
    def test_dim_staff_returns_dataframe(self):
        d = {"staff_id": ["Hello", "Bye"], "first_name": ["Hello", "Bye"], "last_name": ["Hello", "Bye"], "department_id": ["Hello", "Bye"]}
        d2 = {"department_name": ["Hello", "Bye"], "location": ["Hello", "Bye"], "email_address": ["Hello", "Bye"], "department_id": ["Hello", "Bye"]}
        test_df = {"staff": pd.DataFrame(data=d), "department": pd.DataFrame(data=d2)}
        result = create_dim_staff(test_df)
        assert isinstance(result, pd.DataFrame)  

    def test_dim_staff_returns_correct_columns_and_values(self):
        d = {"staff_id": ["Hello", "Bye"], "first_name": ["Hello", "Bye"], "last_name": ["Hello", "Bye"], "department_id": ["Hello", "Bye"]}
        d2 = {"department_name": ["Hello", "Bye"], "location": ["Hello", "Bye"], "email_address": ["Hello", "Bye"], "department_id": ["Hello", "Bye"]}
        test_df = {"staff": pd.DataFrame(data=d), "department": pd.DataFrame(data=d2)}
        result = create_dim_staff(test_df)
        expected_d = {"staff_id": ["Hello", "Bye"], "first_name": ["Hello", "Bye"], "last_name": ["Hello", "Bye"], "department_name": ["Hello", "Bye"], "location": ["Hello", "Bye"], "email_address": ["Hello", "Bye"]}
        expected_df = pd.DataFrame(data=expected_d)
        expected_result = expected_df.copy()
        assert result.equals(expected_result)