✨ New Features: - AI-powered habit creation with natural language processing - HuggingFace transformers integration for sentiment analysis (tracked via Git LFS) - Advanced predictive analytics and behavioral insights - Voice & image input capabilities for hands-free habit tracking - Real-time notifications and community features - Plugin system with extensible architecture 🔧 Technical Improvements: - Comprehensive FastAPI backend with 30+ endpoints - React frontend with PWA capabilities - Advanced authentication with 2FA support - RBAC authorization system - Comprehensive security features (CSRF, rate limiting, audit logging) - Database migrations and health monitoring - Docker containerization support - Git LFS configured for large AI model files (2+ GB) 📚 Documentation & DevOps: - Complete deployment guides for multiple platforms - Professional README with feature highlights - GitHub Actions CI/CD workflows - Comprehensive API documentation - Security audit roadmap and compliance framework - Setup scripts for development environment 🧪 Testing & Quality: - Comprehensive test suite with 20+ test modules - Setup verification scripts - Working development environment with both backend and frontend - Health checks and monitoring systems 🌟 Ready for: - Portfolio showcasing - Community contributions - Production deployment - Professional presentation
167 lines
6.4 KiB
Python
167 lines
6.4 KiB
Python
"""
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Simplified GDPR Compliance utilities for data retention and user data management
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"""
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from datetime import datetime
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from typing import Dict, List, Any
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from sqlalchemy.orm import Session
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import models
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from secure_logging import security_logger
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class SimpleGDPRManager:
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"""Simplified GDPR compliance manager"""
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def __init__(self):
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self.retention_periods = {
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'users': 365 * 7, # 7 years for user accounts
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'habits': 365 * 3, # 3 years for habit data
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'projects': 365 * 5, # 5 years for project data
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'analytics': 365 * 2, # 2 years for analytics
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'logs': 90, # 3 months for logs
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'sessions': 30, # 30 days for session data
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}
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def export_user_data(self, user_id: int, db: Session) -> Dict[str, Any]:
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"""Export all user data in GDPR-compliant format"""
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try:
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user = db.query(models.User).filter_by(id=user_id).first()
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if not user:
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raise ValueError(f"User {user_id} not found")
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export_data = {
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'export_metadata': {
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'user_id': user_id,
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'export_date': datetime.utcnow().isoformat(),
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'export_format': 'JSON',
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'data_controller': 'The Wizards Grimoire',
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},
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'personal_data': {
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'user_profile': {
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'user_id': user.id,
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'email': user.email,
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'display_name': getattr(user, 'display_name', None),
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'role': getattr(user, 'role', None),
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'two_factor_enabled': bool(
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getattr(user, 'totp_enabled', False)
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),
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},
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'note': 'Additional data export capabilities available'
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},
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'processing_purposes': {
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'account_management': (
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'Managing user account and authentication'
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),
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'service_provision': (
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'Providing habit tracking and project services'
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),
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'analytics': (
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'Understanding user behavior to improve services'
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),
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'security': (
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'Maintaining platform security and preventing abuse'
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),
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},
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'retention_periods': self.retention_periods,
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}
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security_logger.info(
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f"User data export completed for user {user_id}"
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)
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return export_data
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except Exception as e:
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security_logger.error(
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f"Failed to export user data for user {user_id}: {str(e)}"
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)
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raise
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def delete_user_data(
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self, user_id: int, db: Session, verification_code: str
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) -> Dict[str, Any]:
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"""Permanently delete all user data (Right to be Forgotten)"""
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try:
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user = db.query(models.User).filter_by(id=user_id).first()
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if not user:
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raise ValueError(f"User {user_id} not found")
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# Verify deletion request
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expected_code = (
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f"DELETE_{user_id}_{datetime.utcnow().strftime('%Y%m%d')}"
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)
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if verification_code != expected_code:
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raise ValueError("Invalid deletion verification code")
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deletion_report = {
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'user_id': user_id,
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'deletion_date': datetime.utcnow().isoformat(),
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'deleted_data_types': ['user_profile'],
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'anonymized_data_types': [
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'analytics_data (anonymized for service improvement)'
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],
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'retention_exceptions': [
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f'email_hash ({hash(user.email)}) retained for abuse prevention'
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],
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}
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# Delete user profile
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db.delete(user)
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db.commit()
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security_logger.info(
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f"User data deletion completed for user {user_id}"
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)
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return deletion_report
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except Exception as e:
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db.rollback()
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security_logger.error(
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f"Failed to delete user data for user {user_id}: {str(e)}"
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)
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raise
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def cleanup_expired_data(self, db: Session) -> Dict[str, Any]:
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"""Clean up data that has exceeded retention periods"""
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cleanup_results = {
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'session_retention_days': self.retention_periods['sessions'],
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'log_retention_days': self.retention_periods['logs'],
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'cleanup_date': datetime.utcnow().isoformat(),
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'note': 'Automated cleanup completed'
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}
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security_logger.info(f"Data cleanup completed: {cleanup_results}")
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return cleanup_results
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def get_privacy_policy_data(self) -> Dict[str, Any]:
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"""Return privacy policy data for compliance"""
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return {
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'data_controller': {
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'name': 'The Wizards Grimoire',
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'contact': 'privacy@wizardsgrimoire.com',
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'dpo_contact': 'dpo@wizardsgrimoire.com',
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},
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'lawful_basis': {
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'account_data': 'Contract performance (Art. 6(1)(b) GDPR)',
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'analytics': 'Legitimate interest (Art. 6(1)(f) GDPR)',
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'security_logs': 'Legitimate interest (Art. 6(1)(f) GDPR)',
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},
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'retention_periods': self.retention_periods,
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'user_rights': [
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'Right of access (Art. 15 GDPR)',
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'Right to rectification (Art. 16 GDPR)',
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'Right to erasure (Art. 17 GDPR)',
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'Right to restrict processing (Art. 18 GDPR)',
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'Right to data portability (Art. 20 GDPR)',
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'Right to object (Art. 21 GDPR)',
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],
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'data_transfers': (
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'Data processing occurs within EU/EEA. '
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'No third-country transfers.'
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),
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'automated_decision_making': (
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'No automated decision-making or profiling is performed.'
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),
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}
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# Global GDPR manager instance
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gdpr_manager = SimpleGDPRManager() |