import pandas as pd
import os
from datetime import datetime
import webbrowser
import logging

def export_to_excel(products):
    logger = logging.getLogger("FletLogger")
    logger.debug("Entering export_to_excel()")
    if not products:
        logger.debug("No products to export.")
        return
    batches = [products[i:i+50] for i in range(0, len(products), 50)]
    export_folder = "exported_products"
    os.makedirs(export_folder, exist_ok=True)
    for idx, batch in enumerate(batches):
        df = pd.DataFrame(batch)
        filename = os.path.join(export_folder, f"products_batch_{idx+1}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.xlsx")
        df.to_excel(filename, index=False)
        logger.debug(f"Exported batch {idx+1} to {filename}")
    webbrowser.open(os.path.abspath(export_folder))
    logger.debug("Exiting export_to_excel()")