def test_calculate_shelf_placement_vertical_mm_does_not_calculate_kpis_if_all_matches_excluded(
self):
probe_group, matches, scif = self.create_scene_scif_matches_stitch_groups_data_mocks(
DataTestUnitPEPSICOUK.test_case_1, 3)
scene_tb = PEPSICOUKSceneToolBox(self.data_provider_mock, self.output)
scene_tb.calculate_shelf_placement_vertical_mm()
self.assertTrue(scene_tb.kpi_results.empty)
def test_calculate_shelf_placement_vertical_mm_correcly_places_products_if_no_excluded_matches(
self):
probe_group, matches, scif = self.create_scene_scif_matches_stitch_groups_data_mocks(
DataTestUnitPEPSICOUK.test_case_1, 2)
scene_tb = PEPSICOUKSceneToolBox(self.data_provider_mock, self.output)
scene_tb.calculate_shelf_placement_vertical_mm()
expected_list = []
expected_list.append({
'kpi_fk': 327,
'numerator': 1,
'result': 1.0 / 5 * 100
})
expected_list.append({
'kpi_fk': 326,
'numerator': 1,
'result': 2.0 / 5 * 100
})
expected_list.append({
'kpi_fk': 325,
'numerator': 1,
'result': 2.0 / 5 * 100
})
expected_list.append({
'kpi_fk': 325,
'numerator': 2,
'result': 6.0 / 6 * 100
})
expected_list.append({
'kpi_fk': 326,
'numerator': 3,
'result': 1.0 / 1 * 100
})
test_result_list = []
for expected_result in expected_list:
test_result_list.append(
self.check_kpi_results(scene_tb.kpi_results, expected_result)
== 1)
self.assertTrue(all(test_result_list))
def test_calculate_shelf_placement_vertical_mm_in_case_excluded_matches_exist_and_different_stitch_groups(
self):
probe_group, matches, scif = self.create_scene_scif_matches_stitch_groups_data_mocks(
DataTestUnitPEPSICOUK.test_case_1, 1)
scene_tb = PEPSICOUKSceneToolBox(self.data_provider_mock, self.output)
scene_tb.calculate_shelf_placement_vertical_mm()
kpi_results = scene_tb.kpi_results
kpi_results['result'] = kpi_results['result'].apply(
lambda x: round(x, 5))
expected_list = []
expected_list.append({
'kpi_fk': 327,
'numerator': 4,
'result': round(1.0 / 6 * 100, 5)
})
expected_list.append({
'kpi_fk': 326,
'numerator': 4,
'result': round(2.0 / 6 * 100, 5)
})
expected_list.append({
'kpi_fk': 325,
'numerator': 4,
'result': round(3.0 / 6 * 100, 5)
})
expected_list.append({
'kpi_fk': 325,
'numerator': 1,
'result': round(5.0 / 7 * 100, 5)
})
expected_list.append({
'kpi_fk': 326,
'numerator': 1,
'result': round(2.0 / 7 * 100, 5)
})
expected_list.append({
'kpi_fk': 325,
'numerator': 2,
'result': round(4.0 / 6 * 100, 5)
})
expected_list.append({
'kpi_fk': 326,
'numerator': 2,
'result': round(2.0 / 6 * 100, 5)
})
expected_list.append({
'kpi_fk': 325,
'numerator': 3,
'result': round(4.0 / 8 * 100, 5)
})
expected_list.append({
'kpi_fk': 326,
'numerator': 3,
'result': round(3.0 / 8 * 100, 5)
})
expected_list.append({
'kpi_fk': 327,
'numerator': 3,
'result': round(1.0 / 8 * 100, 5)
})
test_result_list = []
for expected_result in expected_list:
test_result_list.append(
self.check_kpi_results(scene_tb.kpi_results, expected_result)
== 1)
self.assertTrue(all(test_result_list))
non_expected_results = []
non_expected_results.append({'kpi_fk': 325, 'numerator': 0})
non_expected_results.append({'kpi_fk': 326, 'numerator': 0})
non_expected_results.append({'kpi_fk': 327, 'numerator': 0})
test_result_list = []
for result in non_expected_results:
test_result_list.append(
self.check_kpi_results(scene_tb.kpi_results, result) == 0)
self.assertTrue(all(test_result_list))
