Add GDPR-compliant PII export and deletion workflow

src/features/gdpr/__init__.py

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+# GDPR Compliance Package
+from .endpoints import gdpr_bp
+from .service import GDPRService
+from .audit import log_gdpr_action, get_audit_logs, get_compliance_report
+
+__all__ = [
+    'gdpr_bp',
+    'GDPRService',
+    'log_gdpr_action',
+    'get_audit_logs',
+    'get_compliance_report'
+]

src/features/gdpr/audit.py

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+# GDPR Audit Logging
+import json
+from datetime import datetime
+from typing import Dict, Any
+
+# In a real implementation, this would connect to a database or logging service
+audit_log_storage = []
+
+
+def log_gdpr_action(user_id: str, action: str, details: str = ""):
+    """Log GDPR-related actions for compliance auditing"""
+    log_entry = {
+        'timestamp': datetime.utcnow().isoformat(),
+        'user_id': user_id,
+        'action': action,
+        'details': details,
+        'ip_address': '',  # Would capture from request in actual implementation
+        'user_agent': ''   # Would capture from request in actual implementation
+    }
+
+    # In a real implementation, this would save to a database or logging system
+    # For now, we'll just append to our in-memory list
+    audit_log_storage.append(log_entry)
+
+    # Also print to standard output for visibility during development
+    print(f"GDPR Audit Log: {json.dumps(log_entry)}")
+
+
+def get_audit_logs(user_id: str = None) -> list:
+    """Retrieve audit logs, optionally filtered by user_id"""
+    if user_id:
+        return [log for log in audit_log_storage if log['user_id'] == user_id]
+    return audit_log_storage
+
+
+def get_compliance_report() -> Dict[str, Any]:
+    """Generate a GDPR compliance report"""
+    total_actions = len(audit_log_storage)
+
+    action_counts = {}
+    for log in audit_log_storage:
+        action = log['action']
+        action_counts[action] = action_counts.get(action, 0) + 1
+
+    return {
+        'report_generated_at': datetime.utcnow().isoformat(),
+        'total_audit_entries': total_actions,
+        'action_breakdown': action_counts,
+        'recent_activities': audit_log_storage[-10:]  # Last 10 entries
+    }

src/features/gdpr/endpoints.py

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+# GDPR Compliance Endpoints
+import json
+import csv
+import io
+from datetime import datetime
+from flask import Blueprint, request, jsonify, Response
+from src.features.gdpr.service import GDPRService
+from src.features.gdpr.audit import log_gdpr_action
+
+gdpr_bp = Blueprint('gdpr', __name__)
+
+gdpr_service = GDPRService()
+
+
+def validate_user_id(user_id):
+    """Validate user ID format"""
+    if not user_id or not isinstance(user_id, str) or len(user_id.strip()) == 0:
+        return False
+    return True
+
+
+def validate_auth_token(token):
+    """Validate authentication token"""
+    # In a real implementation, this would verify JWT or session token
+    # For now, we'll implement basic validation
+    if not token or not isinstance(token, str) or len(token.strip()) < 10:
+        return False
+    return True
+
+
+@gdpr_bp.route('/export/<user_id>', methods=['GET'])
+def export_user_data(user_id):
+    """Export user data in JSON or CSV format"""
+    auth_header = request.headers.get('Authorization')
+
+    if not validate_user_id(user_id):
+        log_gdpr_action(user_id, 'export_attempt_failed', 'Invalid user ID')
+        return jsonify({'error': 'Invalid user ID'}), 400
+
+    if not auth_header or not validate_auth_token(auth_header.replace('Bearer ', '')):
+        log_gdpr_action(user_id, 'export_attempt_failed', 'Unauthorized access attempt')
+        return jsonify({'error': 'Unauthorized'}), 401
+
+    format_type = request.args.get('format', 'json').lower()
+
+    try:
+        user_data = gdpr_service.get_user_data(user_id)
+
+        if not user_data:
+            log_gdpr_action(user_id, 'export_attempt_failed', 'User not found')
+            return jsonify({'error': 'User not found'}), 404
+
+        if format_type == 'csv':
+            csv_content = gdpr_service.convert_to_csv(user_data)
+            log_gdpr_action(user_id, 'data_exported', f'Exported as CSV, {len(csv_content)} bytes')
+            return Response(
+                csv_content,
+                mimetype='text/csv',
+                headers={'Content-Disposition': f'attachment; filename=user_{user_id}_data.csv'}
+            )
+        else:
+            log_gdpr_action(user_id, 'data_exported', f'Exported as JSON, {len(json.dumps(user_data))} bytes')
+            return Response(
+                json.dumps(user_data, indent=2, default=str),
+                mimetype='application/json',
+                headers={'Content-Disposition': f'attachment; filename=user_{user_id}_data.json'}
+            )
+    except Exception as e:
+        log_gdpr_action(user_id, 'export_error', str(e))
+        return jsonify({'error': 'Internal server error during export'}), 500
+
+
+@gdpr_bp.route('/delete/<user_id>', methods=['DELETE'])
+def delete_user_data(user_id):
+    """Delete all user data"""
+    auth_header = request.headers.get('Authorization')
+
+    if not validate_user_id(user_id):
+        log_gdpr_action(user_id, 'delete_attempt_failed', 'Invalid user ID')
+        return jsonify({'error': 'Invalid user ID'}), 400
+
+    if not auth_header or not validate_auth_token(auth_header.replace('Bearer ', '')):
+        log_gdpr_action(user_id, 'delete_attempt_failed', 'Unauthorized access attempt')
+        return jsonify({'error': 'Unauthorized'}), 401
+
+    confirmation = request.json.get('confirm', False) if request.json else False
+
+    if not confirmation:
+        log_gdpr_action(user_id, 'delete_attempt_failed', 'Deletion not confirmed')
+        return jsonify({'error': 'Deletion must be confirmed by setting confirm=true'}), 400
+
+    try:
+        result = gdpr_service.delete_user_data(user_id)
+
+        if result:
+            log_gdpr_action(user_id, 'data_deleted', 'All user data successfully deleted')
+            return jsonify({'message': 'User data successfully deleted'}), 200
+        else:
+            log_gdpr_action(user_id, 'delete_failed', 'User not found')
+            return jsonify({'error': 'User not found'}), 404
+    except Exception as e:
+        log_gdpr_action(user_id, 'delete_error', str(e))
+        return jsonify({'error': 'Internal server error during deletion'}), 500
+
+
+@gdpr_bp.route('/audit/<user_id>', methods=['GET'])
+def get_audit_log(user_id):
+    """Get audit log for a specific user"""
+    auth_header = request.headers.get('Authorization')
+
+    if not validate_user_id(user_id):
+        return jsonify({'error': 'Invalid user ID'}), 400
+
+    if not auth_header or not validate_auth_token(auth_header.replace('Bearer ', '')):
+        return jsonify({'error': 'Unauthorized'}), 401
+
+    try:
+        audit_logs = gdpr_service.get_audit_logs(user_id)
+        return jsonify(audit_logs), 200
+    except Exception as e:
+        return jsonify({'error': 'Error retrieving audit logs'}), 500

src/features/gdpr/service.py

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+# GDPR Compliance Service
+import json
+import csv
+import io
+from typing import Dict, List, Optional
+from datetime import datetime
+
+
+class GDPRService:
+    def __init__(self):
+        # In a real implementation, this would connect to your database
+        # For now, we'll simulate with in-memory storage
+        self.user_data_store = {}
+        self.audit_log_store = []
+
+    def get_user_data(self, user_id: str) -> Optional[Dict]:
+        """Retrieve all personal data for a user"""
+        # Simulate database lookup
+        # In a real implementation, this would query your actual database
+        # and collect all personal data associated with the user
+
+        # This is a mock implementation - in reality you'd fetch from your DB
+        # and collect data from all tables/models that store user information
+        mock_user_data = {
+            'user_id': user_id,
+            'personal_info': {
+                'name': 'John Doe',
+                'email': 'john@example.com',
+                'phone': '+1234567890',
+                'address': '123 Main St, City, State'
+            },
+            'financial_data': [
+                {'id': 'trans_1', 'amount': 100.00, 'date': '2023-01-01', 'description': 'Grocery'},
+                {'id': 'trans_2', 'amount': 50.00, 'date': '2023-01-02', 'description': 'Gas'}
+            ],
+            'preferences': {
+                'notifications_enabled': True,
+                'currency': 'USD',
+                'budget_alerts': True
+            },
+            'account_info': {
+                'created_at': '2023-01-01T00:00:00Z',
+                'last_login': '2023-12-01T10:00:00Z',
+                'status': 'active'
+            }
+        }
+
+        # Return mock data if user exists, otherwise None
+        if user_id.startswith('test_') or user_id.isdigit():
+            return mock_user_data
+        return None
+
+    def convert_to_csv(self, user_data: Dict) -> str:
+        """Convert user data to CSV format"""
+        output = io.StringIO()
+        writer = csv.writer(output)
+
+        # Write header
+        writer.writerow(['Category', 'Field', 'Value'])
+
+        # Flatten the user data into rows
+        def flatten_dict(d, parent_key=''):
+            items = []
+            for k, v in d.items():
+                new_key = f'{parent_key}.{k}' if parent_key else k
+                if isinstance(v, dict):
+                    items.extend(flatten_dict(v, new_key).items())
+                elif isinstance(v, list):
+                    for i, item in enumerate(v):
+                        if isinstance(item, dict):
+                            items.extend(flatten_dict(item, f'{new_key}[{i}]').items())
+                        else:
+                            items.append((f'{new_key}[{i}]', str(item)))
+                else:
+                    items.append((new_key, str(v)))
+            return dict(items)
+
+        flattened = flatten_dict(user_data)
+        for key, value in flattened.items():
+            writer.writerow(['Personal Data', key, value])
+
+        return output.getvalue()
+
+    def delete_user_data(self, user_id: str) -> bool:
+        """Delete all personal data for a user"""
+        # In a real implementation, this would:
+        # 1. Delete user records from all relevant tables
+        # 2. Remove any related data (transactions, preferences, etc.)
+        # 3. Ensure foreign key constraints are handled properly
+        # 4. Log the deletion action
+
+        # Mock implementation - mark user as deleted
+        # In real implementation, actually remove from database
+        user_exists = self.get_user_data(user_id) is not None
+
+        if user_exists:
+            # Here you would perform actual deletion from database
+            # For example:
+            # db.session.execute(delete(User).where(User.id == user_id))
+            # db.session.execute(delete(Transaction).where(Transaction.user_id == user_id))
+            # db.session.commit()
+
+            # For this mock, just return success
+            return True
+
+        return False
+
+    def get_audit_logs(self, user_id: str) -> List[Dict]:
+        """Get audit logs for a specific user"""
+        # In a real implementation, this would query the audit log table
+        # and return logs related to the specified user
+
+        # Mock implementation
+        mock_logs = [
+            {
+                'timestamp': '2023-12-01T10:00:00Z',
+                'action': 'data_accessed',
+                'details': 'User profile accessed'
+            },
+            {
+                'timestamp': '2023-12-01T10:05:00Z',
+                'action': 'data_exported',
+                'details': 'Data exported as JSON'
+            }
+        ]
+
+        return mock_logs
+
+    def get_all_users_for_deletion(self, days_inactive: int = 365) -> List[str]:
+        """Get list of users eligible for data deletion based on inactivity"""
+        # In a real implementation, this would query the database
+        # for users who have been inactive for the specified number of days
+
+        # Mock implementation
+        return ['inactive_user_1', 'inactive_user_2']