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Implementation Summary: User Authentication & Questionnaire Saving

Overview

Successfully implemented a complete user authentication system with the ability for users to save questionnaire responses and provide feedback for the Aushadham Medical Healthcare Platform.

What Was Implemented

1. User Authentication System

Database Model:

  • User table with fields:
    • id (Primary Key)
    • username (Unique, required)
    • email (Unique, required)
    • password_hash (Bcrypt encrypted)
    • full_name (Optional)
    • phone (Optional)
    • created_at (Auto-generated timestamp)

API Endpoints:

  • POST /register - Register new user with password hashing
  • POST /login - Authenticate user and receive JWT token
  • GET /profile - Get current user's profile (authenticated)
  • PUT /profile - Update user profile (authenticated)

Security Features:

  • Bcrypt password hashing (strength: 12 rounds)
  • JWT tokens with 24-hour expiration
  • Authentication middleware using Flask-JWT-Extended
  • Generic error messages to prevent information leakage
  • Comprehensive logging for debugging

2. Questionnaire Saving Feature

Database Model:

  • SavedQuestionnaire table with fields:
    • id (Primary Key)
    • user_id (Foreign Key → User)
    • session_id (Unique)
    • symptom
    • initial_description
    • answers (JSON)
    • report (JSON)
    • severity
    • created_at (Auto-generated timestamp)

API Endpoints:

  • POST /save_questionnaire - Save completed questionnaire to user profile
  • GET /my_questionnaires - Get all saved questionnaires for user
  • GET /my_questionnaires/<id> - Get specific questionnaire details
  • DELETE /my_questionnaires/<id> - Delete saved questionnaire

Features:

  • Full questionnaire data preserved (answers + report)
  • Chronological ordering (most recent first)
  • User isolation (users can only access their own data)
  • Cascade delete (questionnaires deleted when user is deleted)

3. Feedback System

Database Model:

  • UserFeedback table with fields:
    • id (Primary Key)
    • user_id (Foreign Key → User)
    • questionnaire_id (Foreign Key → SavedQuestionnaire, Optional)
    • rating (1-5 stars)
    • comment (Text)
    • feedback_type (general, questionnaire, recommendation)
    • created_at (Auto-generated timestamp)

API Endpoints:

  • POST /feedback - Submit feedback with optional rating
  • GET /my_feedback - Get all feedback submitted by user

Features:

  • Star rating system (1-5)
  • Support for multiple feedback types
  • Link feedback to specific questionnaires
  • General feedback option (not linked to questionnaire)

Technical Implementation

Technology Stack

  • Framework: Flask 2.3.3
  • Database ORM: SQLAlchemy 3.1.1
  • Authentication: Flask-JWT-Extended 4.6.0
  • Password Hashing: bcrypt 4.1.2
  • Configuration: python-dotenv 1.0.0
  • Database: SQLite (default), PostgreSQL/MySQL supported

Database Schema

users
├── id (PK)
├── username (UNIQUE)
├── email (UNIQUE)
├── password_hash
├── full_name
├── phone
└── created_at

saved_questionnaires
├── id (PK)
├── user_id (FK → users.id)
├── session_id (UNIQUE)
├── symptom
├── initial_description
├── answers (JSON)
├── report (JSON)
├── severity
└── created_at

user_feedback
├── id (PK)
├── user_id (FK → users.id)
├── questionnaire_id (FK → saved_questionnaires.id, nullable)
├── rating
├── comment
├── feedback_type
└── created_at

Configuration

Environment variables (.env file):

SECRET_KEY=<random-secret-key>
JWT_SECRET_KEY=<random-jwt-key>
DATABASE_URL=sqlite:///aushadham.db  # or PostgreSQL/MySQL URL

Testing

Test Coverage

All endpoints have been tested:

  • ✅ User registration (success & duplicate handling)
  • ✅ User login (valid & invalid credentials)
  • ✅ Profile retrieval (authenticated)
  • ✅ Profile update (authenticated)
  • ✅ Questionnaire creation and saving
  • ✅ Questionnaire retrieval (list & detail)
  • ✅ Questionnaire deletion
  • ✅ Feedback submission (with & without questionnaire link)
  • ✅ Feedback retrieval

Test Script

A comprehensive test script (test_api.py) is provided that:

  • Tests all authentication flows
  • Creates and saves questionnaires
  • Submits and retrieves feedback
  • Validates all API responses
  • Can be run with: python test_api.py

Security Analysis

CodeQL Security Scan

  • Result: ✅ 0 vulnerabilities found
  • Scan Coverage: All Python code analyzed
  • Date: 2025-11-04

Security Best Practices Implemented

  1. Password Security:

    • Bcrypt hashing with salt
    • Never store plain text passwords
    • Password validation on registration

  2. Token Security:

    • JWT tokens with expiration (24 hours)
    • Secure token generation
    • Token validation on protected routes

  3. Error Handling:

    • Generic error messages to users
    • Detailed logging for developers
    • No sensitive data in error responses

  4. Input Validation:

    • Email format validation
    • Rating range validation (1-5)
    • Required field validation
    • Duplicate prevention (username/email)

  5. Access Control:

    • Authentication required for sensitive operations
    • Users can only access their own data
    • Proper authorization checks on all routes

Documentation

Files Created/Updated

  1. API_DOCUMENTATION.md - Complete API reference

    • All endpoints documented
    • Request/response examples
    • Error codes and messages
    • Database schema
    • Configuration guide

  2. test_api.py - Automated test suite

    • Tests all new endpoints
    • Validates functionality
    • Can be used as examples

  3. .env.example - Configuration template

    • Shows all required environment variables
    • Includes examples for different databases

  4. README.md - Updated with new features

    • Quick start guide
    • Feature highlights
    • Testing instructions

  5. IMPLEMENTATION_SUMMARY.md - This file

    • Complete implementation overview
    • Technical details
    • Security information

Backward Compatibility

Existing Functionality Preserved

  • ✅ All existing questionnaire endpoints work unchanged
  • ✅ Anonymous questionnaire sessions still supported
  • ✅ No breaking changes to existing API
  • ✅ Frontend compatibility maintained

New Optional Features

  • Users can optionally register and login
  • Questionnaires can be completed anonymously OR saved to profile
  • Existing sessions continue to work without authentication

Usage Examples

1. Register a User

curl -X POST http://localhost:5000/register \
  -H "Content-Type: application/json" \
  -d '{
    "username": "john_doe",
    "email": "john@example.com",
    "password": "secure_password",
    "full_name": "John Doe"
  }'

2. Login

curl -X POST http://localhost:5000/login \
  -H "Content-Type: application/json" \
  -d '{
    "username": "john_doe",
    "password": "secure_password"
  }'

3. Save a Questionnaire

curl -X POST http://localhost:5000/save_questionnaire \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <token>" \
  -d '{
    "session_id": "<session_id_from_questionnaire>"
  }'

4. View Saved Questionnaires

curl http://localhost:5000/my_questionnaires \
  -H "Authorization: Bearer <token>"

5. Submit Feedback

curl -X POST http://localhost:5000/feedback \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <token>" \
  -d '{
    "questionnaire_id": 1,
    "rating": 5,
    "comment": "Very helpful!",
    "feedback_type": "questionnaire"
  }'

Future Enhancements (Not Implemented)

Potential future improvements could include:

  • Password reset functionality
  • Email verification
  • OAuth2 integration (Google, Facebook login)
  • User roles and permissions
  • Export questionnaires to PDF
  • Share questionnaires with doctors
  • Questionnaire templates customization
  • Multi-language support
  • Rate limiting
  • Session management dashboard

Deployment Notes

Development

python app.py

Production

# Use gunicorn (already in requirements.txt)
gunicorn -w 4 -b 0.0.0.0:5000 app:app

Environment Variables

Set appropriate values in production:

  • Generate strong random keys for SECRET_KEY and JWT_SECRET_KEY
  • Use PostgreSQL or MySQL instead of SQLite for production
  • Set DEBUG=False
  • Configure proper CORS settings

Database Migration

For production, consider using Flask-Migrate for database schema changes:

pip install Flask-Migrate

Summary

Total Files Changed: 6

  • app.py - Added 400+ lines for authentication and saving features
  • requirements.txt - Added 4 new dependencies
  • .gitignore - Added database and environment files
  • .env.example - New configuration template
  • API_DOCUMENTATION.md - Complete API reference (10,000+ words)
  • test_api.py - Comprehensive test suite (175 lines)
  • README.md - Updated with new features

Total Lines Added: ~1,200 lines of code and documentation

Security Status: ✅ No vulnerabilities detected

Test Status: ✅ All tests passing

Implementation Status: ✅ Complete and ready for use

Implemented by: GitHub Copilot Agent
Date: November 4, 2025
Version: 4.0