mondyagu abhilash requested to merge test/auth-service into develop Mar 18, 2026

Merge Request

Overview

This Merge Request improves backend reliability by adding unit test coverage for analytics, authentication, and consultation queue services.

Previously, these service modules had limited automated tests, making it difficult to validate service logic and increasing the risk of regressions when modifying the backend code.

This MR introduces structured pytest-based unit tests to ensure correct functionality and improve maintainability of the service layer.

What does this MR do and why?

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The backend service layer previously lacked sufficient automated testing for important modules including analytics processing, authentication logic, and consultation queue management.

Without proper tests, verifying the correctness of service logic becomes difficult and increases the risk of introducing bugs during future development.

This MR addresses the issue by adding targeted unit tests for these services, ensuring that:

Core service logic behaves correctly

Edge cases are validated

Service responses are verified

The approach focuses on testing service functionality using pytest, following the project's testing conventions.

Changes Made

Key changes introduced in this MR:

Added unit tests for analytics service

Added unit tests for authentication service

Added unit tests for consultation queue service

Files Added

tests/test_services/test_analytics_service.py

tests/test_services/test_auth_service.py

tests/test_services/test_consultation_queue_service.py

These tests validate service behavior and expected outputs for service-layer functions.

Technical Details

Implemented pytest-based unit tests for service modules.

Tests validate:

Service logic execution

Correct response structures

Error handling behavior

Tests follow the project's existing testing structure and conventions.

The changes ensure that service functions can be validated automatically during development and CI testing.

No production logic or API endpoints were modified.

Type of Change

Related Issues / References

Link to related issues using GitLab syntax:

Closes #67 (closed)

Screenshots or Screen Recordings

before after

test coverage on these three files app/services/analytics_service.py
app/services/auth_service.py
app/services/consultation_queue_service.py

How to Validate Locally

Previous behaviour

The service modules had limited or no automated test coverage, making it difficult to validate service logic automatically.

Changes made

Added unit tests for:

Analytics service

Authentication service

Consultation queue service

New behaviour

Running the test suite now verifies service functionality and ensures correct behavior through automated tests.

Testing Done

Unit tests added/updated
API endpoint tests passing

Test Cases Covered:

Test Commands Run:

Run all tests

pytest

Run specific service tests

pytest tests/test_services/ -v

Run with coverage

pytest --cov=app

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 Any unless 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.example updated (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

Additional Notes

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

abhilash653!

Edited Mar 20, 2026 by mondyagu abhilash

test:unit test coverage for analytics, auth, and consultation queue services