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-rw-r--r--tests/test_fact_sales_order.py90
1 files changed, 71 insertions, 19 deletions
diff --git a/tests/test_fact_sales_order.py b/tests/test_fact_sales_order.py
index 82845d7..87e3ade 100644
--- a/tests/test_fact_sales_order.py
+++ b/tests/test_fact_sales_order.py
@@ -1,57 +1,109 @@
-from src.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,
+)
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"]}
+ 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"]}
+ 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"]}
+ 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"]}
+ 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)
+ 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"]}
+ 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_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)
+ 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)
-
+ 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_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)
-
- \ No newline at end of file
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