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tests: increase the test coverage to 100% for analytics_routes, auth_routes, consultations_routes, consultation_quueue_routesTest routes

Bhaskar Battula requested to merge test_routes into develop

Overview

This MR improves and expands the test suite to achieve 100% test coverage for key API route modules. It ensures all endpoints are fully tested, stable, and reliable without introducing any changes to existing business logic.

What does this MR do and why?

The existing API routes had insufficient test coverage, leaving gaps in validation, error handling, and edge-case scenarios. Some endpoints were either partially tested or not tested at all.

This MR addresses these gaps by:

  • Adding comprehensive test cases for all endpoints
  • Covering success, failure, and edge-case scenarios
  • Ensuring authentication and authorization flows are properly validated
  • Fixing any incomplete or failing tests

The approach focuses on using pytest with proper dependency overrides and mocking strategies to simulate real-world API behavior without modifying production code.

Changes Made

  • Added and updated tests for:

    • api/v1/routes/analytics_routes.py
    • api/v1/routes/auth_routes.py
    • api/v1/routes/consultations_routes.py
    • api/v1/routes/consultation_queue_routes.py

  • Improved test coverage to 100% across the above modules

  • Implemented:

    • Request validation tests
    • Authentication and authorization tests
    • Error handling and status code validation
    • Edge case and boundary condition testing

  • Fixed:

    • Incomplete test cases
    • Missing dependency overrides
    • Incorrect or weak assertions

Technical Details

  • Root Cause:

    • Lack of comprehensive test cases for multiple API endpoints
    • Missing coverage for failure paths and edge cases
    • Inadequate mocking of dependencies such as database sessions and auth flows

  • Solution:

    • Introduced full test coverage for all routes and branches
    • Used FastAPI TestClient for endpoint testing
    • Applied dependency overrides for database and authentication
    • Used unittest.mock to simulate external dependencies and async flows

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

Screenshots of work done:

Test coverage of all 4 files i have worked on

How to Validate Locally

  1. Pull the latest changes from branch: test_routes

  2. Install dependencies (if not already installed):

    pip install -r requirements.txt

  3. Run all tests with coverage: uv run pytest --cov=app tests/

Testing Done

  • Unit tests added/updated
  • API endpoint tests passing

Test Cases Covered:

Scenario Expected Result Status
Valid API request Returns correct response with 2xx status ✅
Invalid payload Returns validation error (4xx) ✅
Unauthorized access Returns 401/403 error ✅
Edge case inputs Handled gracefully with correct response ✅
Exception handling Proper error response returned ✅

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)

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
Edited by Vandana reddy Balannagari

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