""" Playbook Execution Engine Executes automated response playbooks based on triggers. """ from typing import Dict, Any, List from datetime import datetime, timezone import asyncio class PlaybookEngine: """Engine for executing playbooks""" def __init__(self): """Initialize playbook engine""" self.actions_registry = { "send_notification": self._action_send_notification, "create_case": self._action_create_case, "isolate_host": self._action_isolate_host, "collect_artifact": self._action_collect_artifact, "block_ip": self._action_block_ip, "send_email": self._action_send_email, } async def execute_playbook( self, playbook: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """ Execute a playbook Args: playbook: Playbook definition context: Execution context with relevant data Returns: Execution result """ results = [] errors = [] actions = playbook.get("actions", []) for action in actions: action_type = action.get("type") action_params = action.get("params", {}) try: # Get action handler handler = self.actions_registry.get(action_type) if not handler: errors.append(f"Unknown action type: {action_type}") continue # Execute action result = await handler(action_params, context) results.append({ "action": action_type, "status": "success", "result": result }) except Exception as e: errors.append(f"Error in action {action_type}: {str(e)}") results.append({ "action": action_type, "status": "failed", "error": str(e) }) return { "status": "completed" if not errors else "completed_with_errors", "results": results, "errors": errors } async def _action_send_notification( self, params: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """Send a notification""" # In production, this would create a notification in the database # and push it via WebSocket return { "notification_sent": True, "message": params.get("message", "Playbook notification") } async def _action_create_case( self, params: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """Create a new case""" # In production, this would create a case in the database return { "case_created": True, "case_title": params.get("title", "Automated Case"), "case_id": "placeholder_id" } async def _action_isolate_host( self, params: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """Isolate a host""" # In production, this would call Velociraptor or other tools # to isolate the host from the network host_id = params.get("host_id") return { "host_isolated": True, "host_id": host_id } async def _action_collect_artifact( self, params: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """Collect an artifact from a host""" # In production, this would trigger Velociraptor collection return { "collection_started": True, "artifact": params.get("artifact_name"), "client_id": params.get("client_id") } async def _action_block_ip( self, params: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """Block an IP address""" # In production, this would update firewall rules ip_address = params.get("ip_address") return { "ip_blocked": True, "ip_address": ip_address } async def _action_send_email( self, params: Dict[str, Any], context: Dict[str, Any] ) -> Dict[str, Any]: """Send an email""" # In production, this would send an actual email return { "email_sent": True, "to": params.get("to"), "subject": params.get("subject") } def get_playbook_engine() -> PlaybookEngine: """ Factory function to create playbook engine Returns: Configured PlaybookEngine instance """ return PlaybookEngine()