fix: temperature and added help area
Merge Request
Overview
This MR fixes the vitals temperature flow and adds help as a supported designated area. It ensures temperature submitted through the vitals API is persisted, returned in vitals responses/history, and covered by focused tests. It also updates area-related behavior and tests so help desk assignment is available in the area workflow.
What does this MR do and why?
The vitals schema/model already supports temperature, but the route and service flow did not consistently pass it through when creating, updating, logging, or returning vitals. This caused temperature values submitted by clients to be dropped from downstream persistence and response handling.
This MR threads temperature through the patient vitals route, service create/update logic, vitals history mapping, and log payloads. It also adds help to DesignatedArea so volunteers/users can be assigned to the help area and so area lists include that station.
Trade-off: this change is intentionally small and follows the existing vitals field pattern instead of introducing a broader vitals abstraction.
Changes Made
- Updated
app/api/v1/routes/patient_routes.pyto passtemperatureintocreate_vitaland include it in vitals logging payloads. - Updated
app/services/patient_service.pyto persist and returntemperaturefor create, update, and vitals-history flows. - Added
helptoapp/enums/designated_area.py. - Updated area route docstring in
app/api/v1/routes/areas_routes.pyto match admin/coordinator behavior. - Updated tests for patient vitals, designated areas, and stations routes.
Technical Details
Root cause: the temperature field was present in the schema/model layer but missing from parts of the route/service mapping. Since these mappings enumerate individual vitals fields, adding the database/schema field alone was not enough.
Fix:
- Include
temperaturein the list of fields applied to existing and newly createdPatientVisitDetailsvitals records. - Pass
temperaturefrom the API route intoVitalCreate. - Convert stored temperature values to
floatwhen buildingVitalandVitalWithCampInforesponses, matching how other numeric vitals are handled. - Add test assertions to verify temperature is accepted, persisted into constructor/update calls, and returned.
- Add
DesignatedArea.helpand update enum/area tests accordingly.
Database schema: no new migration is introduced in this top branch diff. The temperature column migration already exists in the branch history/develop lineage as alembic/versions/c331978e5e64_add_temperature_column_to_vitals.py.
Type of Change
-
🐛 Bug fix (non-breaking change that fixes an issue) -
✨ New feature (non-breaking change that adds functionality) -
💥 Breaking change (fix or feature that would cause existing functionality to change) -
📝 Documentation update -
♻ ️ Refactor (no functional changes) -
⚡ Performance improvement -
🧪 Test update -
🔧 Configuration change -
🚨 Security fix -
🗑 ️ Deprecation (removing deprecated code)
Related Issues / References
- Related branch:
fix/temp-helpareacloses #112 (closed)
Screenshots or Screen Recordings
Not applicable. This MR changes API/service behavior and enum support; no UI screenshots were captured.
How to Validate Locally
-
Start from the target branch and check out this branch:
git checkout fix/temp-helparea -
Apply database migrations if validating against a local database:
alembic upgrade head -
Run the focused tests:
uv run pytest tests/test_api/test_patient_routes.py tests/test_api/test_stations_routes.py tests/test_enums/test_designated_area.py tests/test_services/test_patient_service.py -q -
Validate the vitals update endpoint by sending a vitals payload with
temperature, for example:curl -X PUT "http://localhost:8000/api/v1/patients/vitals/<book_no>" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer <token>" \ -d '{"bp_manual":"120/80","pulse":72,"heart_rate":72,"temperature":98.6}' -
Confirm the response includes
temperature: 98.6and the vitals history endpoint returns the same value.
Previous behavior: submitted temperature values could be omitted from the service create/update flow and response mapping.
New behavior: temperature is preserved across vitals create/update, logging payloads, and vitals history responses.
Testing Done
-
Unit tests added/updated -
API endpoint tests updated
Test Cases Covered:
| Scenario | Expected Result | Status |
|---|---|---|
| Update vitals API receives temperature |
temperature is passed into service payload |
|
| Create vitals for existing visit | Returned vital includes submitted temperature | |
| Create vitals for new visit details | Constructor receives temperature and response includes it | |
| Vitals history includes temperature | History response maps stored temperature to float | |
| Vitals history with missing temperature | History response returns temperature=None
|
|
| Update existing vitals | Returned vital includes updated temperature | |
| Designated area enum includes help | Area enum exposes help
|
|
| Area list includes help station | Area endpoint logic includes DesignatedArea.help
|
Test Commands Run:
pytest tests/test_api/test_patient_routes.py tests/test_api/test_stations_routes.py tests/test_enums/test_designated_area.py tests/test_services/test_patient_service.py -q
Result: not run because pytest is not installed as a direct command in this environment.
uv run pytest tests/test_api/test_patient_routes.py tests/test_api/test_stations_routes.py tests/test_enums/test_designated_area.py tests/test_services/test_patient_service.py -q
Result: not run. The sandbox could not write to the uv cache directory, and elevated execution was not approved.
Code Quality Checklist
Code Standards
-
Code follows project conventions (naming, structure, formatting) -
No debug statements or commented-out code left (unless necessary and intended) -
No unused imports, variables, or functions -
No duplicate code (DRY principle followed) -
Type hints are properly defined (no Anyunless justified and no mypy type check errors) -
Ruff checks pass: ruff check . ruff format . --check
Python & FastAPI Best Practices
-
Functions follow single-responsibility principle -
Async/await used correctly (no blocking calls in async functions) -
Dependency injection used appropriately -
Pydantic models used for request/response validation -
SQLAlchemy queries are optimized (no N+1 queries) -
Error handling is comprehensive (try/except with proper logging)
API Design
-
RESTful conventions followed -
Proper HTTP status codes returned -
Input validation implemented -
Authentication/authorization enforced -
Role Base access control used for user restriction -
API documentation (docstrings) updated
Database & Migrations
-
Database migrations created (if schema changed) -
Database migrations version is pointing to the latest version (and version name follows project conventions) -
Migrations are reversible (migrations contain downgrade scripts) -
Indexes added for frequently queried fields -
No raw SQL queries (using SQLAlchemy ORM) -
Data integrity constraints maintained
Security
-
No sensitive data logged (passwords, tokens, PII) -
SQL injection prevention verified (ORM used) -
Input sanitization implemented -
Authentication tokens handled securely -
CORS settings appropriate -
Security scan passes: bandit -r app/
Error Handling
-
Errors are caught and handled gracefully -
User-friendly error messages returned -
Errors are logged appropriately -
HTTP error responses follow API standards
Documentation
-
README.md updated (if setup steps changed) -
.env.exampleupdated (if new env vars added) -
API documentation updated (docstrings, OpenAPI specs) -
CHANGELOG.md will be updated (if applicable) -
Code comments explain complex logic (not what, but why)
Known Limitations / Technical Debt
- Focused tests were updated, but they were not executed in this environment due to missing direct
pytestand denied elevateduv runexecution. - Full lint, format, coverage, and security scans were not run in this environment.
Additional Notes
- Target branch assumed:
develop. - Branch:
fix/temp-helparea. - The working tree was clean before this MR markdown file was added.
MR Acceptance Checklist
Quality & Correctness
-
Code works as intended and solves the stated problem -
No bugs introduced (existing functionality not broken) -
Edge cases handled appropriately
Maintainability
-
Code is readable and well-organized -
Code is testable and well-tested -
Follows project patterns and conventions
Acceptance Review
-
Reviewed by at least 1 teammate -
Reviewed by product owner