#!/usr/bin/env python
# Simple script to run the alarm analyzer without visualization

from alarm_analyzer import AlarmAnalyzer

def main():
    print("Creating analyzer instance...")
    # Create analyzer instance
    analyzer = AlarmAnalyzer('CardinalAlarmsDec25.csv', 'SensorReport Cardinal 2025-12-23_processed.xlsx')

    print("Loading data...")
    # Load data
    alarm_data, sensor_data = analyzer.load_data()
    print(f"Loaded {len(alarm_data)} alarm records")
    
    if analyzer.sensor_mapping:
        print(f"Created sensor mapping for {len(analyzer.sensor_mapping)} sensors")
    else:
        print("No sensor mapping created - sensor report may not have been processed correctly")

    print("Categorizing alarms...")
    # Categorize alarms
    categorized_data = analyzer.categorize_alarms()

    print("Pairing events and calculating durations...")
    # Pair events and calculate durations
    paired_events = analyzer.pair_events_and_calculate_durations()

    print("Performing basic analysis...")
    # Perform basic analysis
    basic_results = analyzer.basic_analysis()

    print("Performing advanced analysis...")
    # Perform advanced analysis
    advanced_results = analyzer.advanced_analysis()

    print("Exporting results...")
    # Export results (this doesn't require matplotlib)
    analyzer.export_results(output_dir='output')

    # Perform uptime analysis
    print("Performing uptime analysis...")
    uptime_results = analyzer.calculate_uptime_metrics()

    # Export uptime metrics to new files
    analyzer.export_uptime_metrics(output_dir="output", uptime_results=uptime_results)

    print("Analysis completed successfully!")
    print("Results have been exported to the output directory.")

if __name__ == '__main__':
    main()