xls_to_xlsx.py

import subprocess
import os
import concurrent.futures

LIBREOFFICE_PATH = "/Applications/LibreOffice.app/Contents/MacOS/soffice"

def convert_xls_to_xlsx(input_file, outdir='clean_data'):
    
    # Ensure output directory exists
    os.makedirs(outdir, exist_ok=True)
    
    # Construct the LibreOffice command
    cmd = [
        LIBREOFFICE_PATH,
        '--convert-to', 'xlsx',
        input_file,
        '--outdir', outdir,
        '--headless'
    ]
    
    # Execute the command
    try:
        result  = subprocess.run(cmd)
        print(result)
        print(f"Successfully converted {input_file} to xlsx format")
    except subprocess.CalledProcessError as e:
        print(f"Error converting file: {e}")
        raise

def parallelize_convert_xls_to_xlsx(input_files, outdir='clean_data', max_workers=None):
    # Create output directory if it doesn't exist
    os.makedirs(outdir, exist_ok=True)
    
    # Use ThreadPoolExecutor for parallel processing
    with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
        # Submit all conversion tasks
        future_to_file = {
            executor.submit(convert_xls_to_xlsx, input_file, outdir): input_file 
            for input_file in input_files
        }
        
        # Process completed conversions
        for future in concurrent.futures.as_completed(future_to_file):
            input_file = future_to_file[future]
            try:
                future.result()
            except Exception as e:
                print(f"Conversion failed for {input_file}: {str(e)}")

if __name__ == "__main__":
    convert_xls_to_xlsx('original_data/VEnron2/VEnron2/1/1_11_07act.xls', "clean_data")