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import pandas as pd
from fact_sales_order import create_dim_design, create_dim_staff, create_dim_currency
from src.fact_sales_order import (
create_dim_design,
create_dim_staff,
create_dim_currency,
)
<< << << < Updated upstream
== == == =
>>>>>> > Stashed changes
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)
class TestCreateDimCurrency:
def test_dim_currency_returns_dataframe(self):
d = {"currency_id": [1, 2, 3], "currency_code": ["USD", "EUR", "GBP"]}
test_df = {"currency": pd.DataFrame(data=d)}
result = create_dim_currency(test_df)
assert isinstance(result, pd.DataFrame)
def test_dim_currency_returns_columns_and_values(self):
d = {"currency_id": [1, 2, 3], "currency_code": ["USD", "EUR", "GBP"]}
test_df = {"currency": pd.DataFrame(data=d)}
result = create_dim_currency(test_df)
expected_d = {
"currency_id": [1, 2, 3],
"currency_code": ["USD", "EUR", "GBP"],
"currency_name": ["US Dollar", "Euro", "Pound"],
}
expected_df = pd.DataFrame(data=expected_d)
expected_result = expected_df.copy()
assert result.equals(expected_result)
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