#!/usr/bin/env python3
"""
Market Trends Scraper - Main Entry Point

This script serves as the main entry point for the Market Trends Scraper application.
It initializes the scraper, processes configuration, and orchestrates the scraping
and analysis workflow.
"""

import sys
import argparse
from pathlib import Path

# Add src directory to Python path
sys.path.insert(0, str(Path(__file__).resolve().parent / "src"))

from scraper import MarketTrendsScraper
from config_manager import ConfigManager
from logger import setup_logger


def parse_arguments():
    """Parse command line arguments."""
    parser = argparse.ArgumentParser(
        description="Web Scraper for Market Trends - Collect and analyze pricing and product trends"
    )
    parser.add_argument(
        "--config", "-c",
        type=str,
        default="config/config.yaml",
        help="Path to configuration file"
    )
    parser.add_argument(
        "--output", "-o",
        type=str,
        default="data/output.csv",
        help="Path to output file"
    )
    parser.add_argument(
        "--headless",
        action="store_true",
        help="Run browser in headless mode"
    )
    parser.add_argument(
        "--verbose", "-v",
        action="store_true",
        help="Enable verbose logging"
    )
    return parser.parse_args()


def main():
    """Main application entry point."""
    args = parse_arguments()
    
    # Setup logging
    logger = setup_logger(verbose=args.verbose)
    logger.info("Starting Market Trends Scraper")
    
    try:
        # Load configuration
        config_manager = ConfigManager(args.config)
        config = config_manager.load_config()
        logger.info("Configuration loaded successfully")
        
        # Initialize and run scraper
        scraper = MarketTrendsScraper(config, headless=args.headless)
        logger.info("Scraper initialized")
        
        # Run the scraping process
        data = scraper.scrape_market_trends()
        logger.info(f"Scraped {len(data)} product records")
        
        # Save results
        scraper.save_data(data, args.output)
        logger.info(f"Data saved to {args.output}")
        
        # Analyze trends
        analysis = scraper.analyze_trends(data)
        logger.info("Trend analysis completed")
        
        # Save analysis results
        analysis_output = args.output.replace('.csv', '_analysis.json')
        scraper.save_analysis(analysis, analysis_output)
        logger.info(f"Analysis saved to {analysis_output}")
        
        logger.info("Market Trends Scraper completed successfully")
        return 0
        
    except Exception as e:
        logger.error(f"Error occurred: {str(e)}")
        return 1


if __name__ == "__main__":
    sys.exit(main())