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

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Issue Summary

Add unit test coverage for analytics, authentication, and consultation queue services in the backend service layer.

Currently, these service modules have limited automated test coverage. This makes it difficult to verify service logic correctness and increases the risk of regressions when modifying the codebase.

The expected behavior is to have proper pytest-based unit tests that validate the core functionality of these services and ensure correct handling of normal and edge cases.

Problem Statement

Several service modules currently lack sufficient automated tests.

What is missing

Unit tests for analytics service

Unit tests for authentication service

Unit tests for consultation queue service

Who is affected

Backend developers working on service logic

QA engineers validating backend functionality

Impact

Service behavior cannot be easily validated automatically

Higher risk of regressions when updating service logic

Harder to maintain backend code quality

How the issue appears

Running the test suite currently does not fully cover these service modules.

Proposed Solution

Introduce unit tests for the service layer using pytest.

Approach

Create test files under the test directory that verify the functionality of:

Analytics service operations

Authentication service logic

Consultation queue service behavior

Components that will change

New test files will be created

Existing test suite will be extended

Dependencies

pytest testing framework

existing project testing configuration

Test-Driven Development

Acceptance Criteria (Given-When-Then)

Scenario 1: [Scenario Name]

Given the analytics service is invoked
And valid parameters are provided
When the analytics function executes
Then the correct analytics result should be returned
And the response structure should match expected output

Scenario 2: [Scenario Name]

Given valid authentication credentials
When the authentication service is called
Then the user should be authenticated successfully
And the correct authentication response should be returned

Test Cases

Test ID Test Description Precondition Test Steps Expected Result Priority
TC-001 Validate analytics service response Analytics service available 1.Call analytics function2.Pass valid parameters 3.Check response Correct analytics output returned High
TC-002 Validate authentication service Auth service available 1.Call authentication function2.Pass valid credentials 3.Verify authentication User authenticated successfully High
TC-003 Validate consultation queue service Queue service available 1.Call queue service2.Add consultation request 3.Verify queue response Request processed successfully High

Unit Test Requirements

Components/Functions to Test:

Module/Component Function/Hook Test Cases to Cover
analytics_service analytics operations TC-001
auth_service authentication validation TC-002

Test Assertions Required:

  • Renders correctly with initial state
  • [ *] Handles user input correctly
  • Validates input and shows errors
  • Calls API with correct payload
  • [ *] Handles loading state
  • [ *] Handles success response
  • [ *] Handles error response
  • Updates UI state appropriately

Implementation Details

Files to Change

File Path Action Purpose
stests/test_services/test_analytics_service.py Create Add unit tests for analytics service
tests/test_services/test_auth_service.py Create Add unit tests for authentication service
tests/test_services/test_consultation_queue_service.py Create Add unit tests for consultation queue service

Technical Considerations

UI/UX Requirements

Mockups/Wireframes:

Testing Strategy

Manual Testing

Test Environment:

  • Test Environment

OS: Ubuntu

Runtime: Python

Testing Framework: pytest

Manual Test Steps

Pull the latest code changes

Run the test suite using pytest

Verify all service tests pass successfully

Automated Testing

Unit Tests:

  • Component render tests
  • [*] User interaction tests
  • [*] API integration tests
  • [*] Error handling tests

Integration Tests (if applicable):

  • Multi-component interaction tests
  • Route navigation tests

Test Data Requirements

  • Acceptance criteria met (all Given-When-Then scenarios pass)
  • All test cases executed and passing
  • Unit tests written and passing (minimum coverage: __%)
  • Manual testing completed
  • Code reviewed and approved
  • UI matches design specifications (if applicable)
  • Responsive on all required viewport sizes
  • Accessibility checks passed (aria labels, keyboard navigation)
  • No console errors or warnings
  • TypeScript types defined (no any)
  • ESLint/Prettier checks pass
  • Documentation updated (if applicable)
  • i18n strings externalized (no hardcoded text)

Additional Context

Related Issues

References

Notes

Edited by mondyagu abhilash