import time
import logging
import os
from aiva.threshold_analyzer import ThresholdAnalyzer

# Configure logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

class AIVA:
    def __init__(self, config):
        self.config = config
        self.threshold_analyzer = ThresholdAnalyzer(config['thresholds'])

    def run(self):
        logging.info("AIVA is starting...")
        analysis_frequency = self.config.get('analysis_frequency', 60) # Default to 60 seconds

        try:
            while True:
                logging.info("Running analysis loop...")

                # Simulate workload metrics (replace with actual metric collection)
                workload_metrics = {
                    'cpu_usage': self._get_simulated_cpu_usage(),
                    'memory_usage': self._get_simulated_memory_usage()
                }

                # Analyze thresholds
                scaling_actions = self.threshold_analyzer.analyze(workload_metrics)

                # Execute scaling actions
                if scaling_actions:
                    logging.info(f"Scaling actions recommended: {scaling_actions}")
                    self._execute_scaling_actions(scaling_actions)  # Placeholder for actual execution
                else:
                    logging.info("No scaling actions needed.")

                time.sleep(analysis_frequency)

        except KeyboardInterrupt:
            logging.info("AIVA is shutting down...")
        except Exception as e:
            logging.error(f"An error occurred: {e}", exc_info=True)

    def _get_simulated_cpu_usage(self):
        # Simulate CPU usage between 0 and 100
        return (time.time() % 100)

    def _get_simulated_memory_usage(self):
        # Simulate memory usage between 50 and 90
        return 50 + (time.time() % 40)

    def _execute_scaling_actions(self, actions):
        # Placeholder for executing scaling actions.  Currently just logs.
        for action in actions:
            logging.info(f"Executing action: {action}")


if __name__ == "__main__":
    # Example configuration (replace with your actual configuration)
    config = {
        'analysis_frequency': 10,  # Analyze every 10 seconds
        'thresholds': {
            'cpu_usage': {
                'high': 80,
                'low': 20
            },
            'memory_usage': {
                'high': 90,
                'low': 60
            }
        }
    }

    aiva = AIVA(config)
    aiva.run()