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Adding scenarios 13 + 14 from the feature file (#118)
<!-- markdownlint-disable-next-line first-line-heading --> ## Description <!-- Describe your changes in detail. --> Migrating scenarios 13 + 14 from the EndoscopyInvestigationDatasetScenarios feature file: 13: Scenario: Check dropdown lists and default field values in the Endoscopy Information section of a new Colonoscopy investigation dataset 14: Scenario: Check dropdown lists and default field values in the Endoscopy Information section of a new Colonoscopy investigation dataset ## Context <!-- Why is this change required? What problem does it solve? --> Migrating scenarios 13 + 14 from the EndoscopyInvestigationDatasetScenarios feature file: 13: Scenario: Check dropdown lists and default field values in the Endoscopy Information section of a new Colonoscopy investigation dataset 14: Scenario: Check dropdown lists and default field values in the Endoscopy Information section of a new Colonoscopy investigation dataset ## Type of changes <!-- What types of changes does your code introduce? Put an `x` in all the boxes that apply. --> - [x] Refactoring (non-breaking change) - [x] New feature (non-breaking change which adds functionality) - [ ] Breaking change (fix or feature that would change existing functionality) - [ ] Bug fix (non-breaking change which fixes an issue) ## Checklist <!-- Go over all the following points, and put an `x` in all the boxes that apply. --> - [x] I am familiar with the [contributing guidelines](https://github.com/nhs-england-tools/playwright-python-blueprint/blob/main/CONTRIBUTING.md) - [x] I have followed the code style of the project - [x] I have added tests to cover my changes (where appropriate) - [x] I have updated the documentation accordingly - [ ] This PR is a result of pair or mob programming --- ## Sensitive Information Declaration To ensure the utmost confidentiality and protect your and others privacy, we kindly ask you to NOT including [PII (Personal Identifiable Information) / PID (Personal Identifiable Data)](https://digital.nhs.uk/data-and-information/keeping-data-safe-and-benefitting-the-public) or any other sensitive data in this PR (Pull Request) and the codebase changes. We will remove any PR that do contain any sensitive information. We really appreciate your cooperation in this matter. - [x] I confirm that neither PII/PID nor sensitive data are included in this PR and the codebase changes.
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‎tests/regression/subject/episodes/datasets/investigation/endoscopy/test_endoscopy_investigation_dataset_scenarios.py‎

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@@ -2125,6 +2125,310 @@ def test_check_behaviour_of_other_drugs_administered_fields_in_incomplete_datase
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LogoutPage(page).log_out()
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@pytest.mark.regression
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@pytest.mark.vpn_required
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@pytest.mark.investigation_dataset_tests
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@pytest.mark.bcss_additional_tests
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@pytest.mark.colonoscopy_dataset_tests
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def test_check_drug_validation_for_subject_older_than_70_in_incomplete_dataset(
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page: Page,
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) -> None:
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"""
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Scenario: Check drug dose validation specific to a subject aged 70 or older in an incomplete endoscopy investigation dataset
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This checks the drug dose validation for Midazolam, which has a different recommended range for subjects aged 70 or older.
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"""
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nhs_no = get_subject_older_than_70_with_new_colonsocopy_dataset()
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UserTools.user_login(page, "Screening Centre Manager at BCS001")
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BasePage(page).go_to_screening_subject_search_page()
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search_subject_episode_by_nhs_number(page, nhs_no)
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SubjectScreeningSummaryPage(page).click_datasets_link()
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SubjectDatasetsPage(page).click_investigation_show_datasets()
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InvestigationDatasetsPage(page).bowel_cancer_screening_page_title_contains_text(
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"Investigation Datasets"
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)
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InvestigationDatasetsPage(page).click_show_drug_information()
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DatasetFieldUtil(page).populate_select_locator_for_field_inside_div(
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other_drugs_administered_string, div_drug_details_string, YesNoOptions.YES
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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other_drugs_administered_string, "Yes"
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)
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InvestigationDatasetsPage(page).check_visibility_of_drug_type(
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other_drugs_administered_string, 1, True
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)
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InvestigationDatasetsPage(page).check_visibility_of_drug_dose(
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other_drugs_administered_string, 1, True
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)
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InvestigationDatasetsPage(page).assert_drug_type_text(
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other_drugs_administered_string, 1, ""
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)
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InvestigationDatasetsPage(page).assert_drug_dose_text(
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other_drugs_administered_string, 1, ""
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)
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drug_info_list = [
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(OtherDrugsAdministeredDrugTypeOptions.MIDAZOLAM, "0.99"),
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]
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drug_information = InvestigationDatasetCompletion(page).build_drug_information_dict(
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drug_info_list, other_drugs_administered_string
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)
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InvestigationDatasetsPage(page).assert_dialog_text(
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"The recommended dose for Midazolam is 1 - 2.5 mg for patients aged 70 or over. Please check and re-enter as necessary.",
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True,
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)
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InvestigationDatasetCompletion(page).fill_out_drug_information(drug_information)
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InvestigationDatasetsPage(page).assert_drug_type_text(
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other_drugs_administered_string,
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1,
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OtherDrugsAdministeredDrugTypeOptions.MIDAZOLAM,
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)
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InvestigationDatasetsPage(page).assert_drug_dose_text(
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other_drugs_administered_string, 1, "0.99"
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)
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drug_info_list = [
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(None, "1"),
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]
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drug_information = InvestigationDatasetCompletion(page).build_drug_information_dict(
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drug_info_list, other_drugs_administered_string
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)
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InvestigationDatasetCompletion(page).fill_out_drug_information(drug_information)
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InvestigationDatasetsPage(page).assert_drug_dose_text(
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other_drugs_administered_string, 1, "1"
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)
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drug_info_list = [
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(None, "2.51"),
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]
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drug_information = InvestigationDatasetCompletion(page).build_drug_information_dict(
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drug_info_list, other_drugs_administered_string
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)
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InvestigationDatasetsPage(page).assert_dialog_text(
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"The recommended dose for Midazolam is 1 - 2.5 mg for patients aged 70 or over. Please check and re-enter as necessary.",
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True,
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)
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InvestigationDatasetCompletion(page).fill_out_drug_information(drug_information)
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InvestigationDatasetsPage(page).assert_drug_dose_text(
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other_drugs_administered_string, 1, "2.51"
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)
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drug_info_list = [
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(None, "2.5"),
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]
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drug_information = InvestigationDatasetCompletion(page).build_drug_information_dict(
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drug_info_list, other_drugs_administered_string
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)
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InvestigationDatasetCompletion(page).fill_out_drug_information(drug_information)
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InvestigationDatasetsPage(page).assert_drug_dose_text(
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other_drugs_administered_string, 1, "2.5"
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)
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LogoutPage(page).log_out()
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@pytest.mark.regression
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@pytest.mark.vpn_required
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@pytest.mark.investigation_dataset_tests
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@pytest.mark.bcss_additional_tests
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@pytest.mark.colonoscopy_dataset_tests
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def test_check_dropdown_lists_and_default_field_values_in_endoscopy_information_section(
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page: Page,
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) -> None:
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"""
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Scenario: Check dropdown lists and default field values in the Endoscopy Information section of a new Colonoscopy investigation dataset
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"""
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nhs_no = get_subject_with_new_colonoscopy_investigation_dataset()
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UserTools.user_login(page, "Screening Centre Manager at BCS001")
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BasePage(page).go_to_screening_subject_search_page()
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search_subject_episode_by_nhs_number(page, nhs_no)
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SubjectScreeningSummaryPage(page).click_datasets_link()
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SubjectDatasetsPage(page).click_investigation_show_datasets()
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InvestigationDatasetsPage(page).bowel_cancer_screening_page_title_contains_text(
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"Investigation Datasets"
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)
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InvestigationDatasetsPage(page).click_show_endoscopy_information()
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field_names = [
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"Endoscope inserted",
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"Procedure type",
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"Bowel preparation quality",
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"Comfort during examination",
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"Comfort during recovery",
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"Sedation during examination",
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"Sedation during recovery",
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"Endoscopist defined extent",
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"Scope imager used",
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"Retroverted view",
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"Start of intubation time",
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"Start of extubation time",
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"End time of procedure",
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"Scope ID",
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"Detection assistant (AI) used?",
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"Insufflation",
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"Outcome at time of procedure",
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"Late outcome",
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]
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InvestigationDatasetsPage(page).are_fields_on_page(
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"Endoscopy Information", None, field_names
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Endoscope inserted", YesNoOptions.YES
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)
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InvestigationDatasetsPage(page).are_fields_on_page(
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"Endoscopy Information", None, ["Why Endoscope Not Inserted"], False
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)
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DatasetFieldUtil(page).assert_radio_to_right_is_selected(
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"Procedure type", "Diagnostic", "divColonoscopeFields"
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Bowel preparation quality", ""
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)
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dropdown_values = [
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"Excellent",
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"Good",
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"Adequate/Fair",
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"Poor",
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"Inadequate",
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]
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Bowel preparation quality", dropdown_values
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Comfort during examination", ""
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)
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dropdown_values = [
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"No discomfort",
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"Minimal discomfort",
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"Mild discomfort",
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"Moderate discomfort",
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"Severe discomfort",
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]
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Comfort during examination", dropdown_values
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Comfort during recovery", ""
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)
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dropdown_values = [
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"No discomfort",
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"Minimal discomfort",
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"Mild discomfort",
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"Moderate discomfort",
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"Severe discomfort",
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]
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Comfort during recovery", dropdown_values
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Sedation during examination", "Unsedated", "divSedationExamReadOnly"
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Sedation during recovery", "Unsedated", "divSedationRecoveryReadOnly"
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)
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InvestigationDatasetsPage(page).are_fields_on_page(
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"Endoscopy Information", None, ["Intended extent of examination"], False
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Endoscopist defined extent", ""
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)
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dropdown_values = [
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"Anus",
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"Rectum",
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"Sigmoid Colon",
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"Descending Colon",
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"Splenic Flexure",
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"Transverse Colon",
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"Hepatic Flexure",
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"Ascending Colon",
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"Caecum",
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"Ileum",
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"Anastomosis",
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"Appendix",
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]
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Endoscopist defined extent", dropdown_values
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Scope imager used", ""
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)
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Scope imager used", ["Yes", "No"]
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Retroverted view", ""
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)
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Retroverted view", ["Yes", "No"]
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Start of intubation time", ""
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"Start of extubation time", ""
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
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"End time of procedure", ""
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)
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InvestigationDatasetsPage(page).are_fields_on_page(
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"Endoscopy Information", None, ["Withdrawal time"], False
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)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text("Scope ID", "")
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
2384+
"Detection Assistant (AI) used?", "No"
2385+
)
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DatasetFieldUtil(page).assert_select_to_right_has_values(
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"Detection Assistant (AI) used?", ["Yes", "No"]
2388+
)
2389+
DatasetFieldUtil(page).assert_cell_to_right_has_expected_text("Insufflation", "")
2390+
dropdown_values = [
2391+
"Air",
2392+
"Carbon Dioxide",
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"Carbon Dioxide changed to Air mid procedure",
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"Air changed to Carbon Dioxide mid procedure",
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"Water",
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"Water and Carbon Dioxide",
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"Water and Air",
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"Water and Carbon Dioxide and Air",
2399+
]
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DatasetFieldUtil(page).assert_select_to_right_has_values(
2401+
"Insufflation", dropdown_values
2402+
)
2403+
DatasetFieldUtil(page).assert_cell_to_right_has_expected_text(
2404+
"Outcome at time of procedure", ""
2405+
)
2406+
dropdown_values = [
2407+
"Leave department",
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"Planned hospital admission for observation/social reasons",
2409+
"Unplanned hospital admission",
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]
2411+
DatasetFieldUtil(page).assert_select_to_right_has_values(
2412+
"Outcome at time of procedure", dropdown_values
2413+
)
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DatasetFieldUtil(page).assert_cell_to_right_has_expected_text("Late outcome", "")
2415+
dropdown_values = [
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"No complications",
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"Condition resolved",
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"Telephone consultation",
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"Outpatient consultation",
2420+
"Hospital admission",
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]
2422+
DatasetFieldUtil(page).assert_select_to_right_has_values(
2423+
"Late outcome", dropdown_values
2424+
)
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2426+
LogoutPage(page).log_out()
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2429+
# Helper Functions
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21282432
def check_role_access_to_edit_investigation_dataset(
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page: Page,
21302434
nhs_no: str,
@@ -2275,3 +2579,35 @@ def get_subject_younger_than_70_with_new_colonsocopy_dataset() -> str:
22752579
nhs_no = df.iloc[0]["subject_nhs_number"]
22762580
logging.info(f"NHS Number: {nhs_no}")
22772581
return nhs_no
2582+
2583+
2584+
def get_subject_older_than_70_with_new_colonsocopy_dataset() -> str:
2585+
"""
2586+
Gets a subject with the following criteria:
2587+
"latest episode status": "open",
2588+
"latest episode latest investigation dataset": "colonoscopy_new",
2589+
"subject age": ">= 70"
2590+
Returns:
2591+
str: The nhs number of a subject matching the criteria
2592+
"""
2593+
criteria = {
2594+
"latest episode status": "open",
2595+
"latest episode latest investigation dataset": "colonoscopy_new",
2596+
"subject age": ">= 70",
2597+
}
2598+
user = User()
2599+
subject = Subject()
2600+
2601+
builder = SubjectSelectionQueryBuilder()
2602+
2603+
query, bind_vars = builder.build_subject_selection_query(
2604+
criteria=criteria,
2605+
user=user,
2606+
subject=subject,
2607+
subjects_to_retrieve=1,
2608+
)
2609+
2610+
df = OracleDB().execute_query(query, bind_vars)
2611+
nhs_no = df.iloc[0]["subject_nhs_number"]
2612+
logging.info(f"NHS Number: {nhs_no}")
2613+
return nhs_no

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