import logging
from typing import Dict, Any
import os

logger = logging.getLogger(__name__)

class AINode:
    def __init__(self):
        logger.info("Initializing AINode")
        # Initialize any AI-related configurations or models here

    def execute(self, node_data: Dict[str, Any]) -> Dict[str, Any]:
        operation = node_data.get('operation')
        if operation == 'decision':
            return self.make_decision(node_data)
        elif operation == 'end':
            return self.end_workflow(node_data)
        else:
            raise ValueError(f"Unsupported operation: {operation}")

   
    def end_workflow(self, node_data: Dict[str, Any]) -> Dict[str, Any]:
        logger.info("Workflow has ended.")
        return {"status": "success", "message": "Workflow completed successfully.", "output": None}
