import os
import boto3
from multiprocessing import Pool, cpu_count

# Configuration
LOCAL_FOLDER = 'PRT'  # The local folder with files
BUCKET_NAME = 'your-s3-bucket-name'  # Your S3 bucket name
REGION = 'your-region'  # Your AWS region, e.g., 'us-east-1'

# Initialize S3 client
s3_client = boto3.client('s3', region_name=REGION)

def upload_file(file_path):
    """
    Upload a file to S3.
    :param file_path: Path of the file to upload
    """
    try:
        # Define the key for the file in S3 (optional: you can keep the same name or change it)
        s3_key = os.path.relpath(file_path, LOCAL_FOLDER)
        print(f"Uploading {file_path} to s3://{BUCKET_NAME}/{s3_key}")
        s3_client.upload_file(file_path, BUCKET_NAME, s3_key)
        print(f"Upload of {file_path} completed successfully.")
    except Exception as e:
        print(f"Error uploading {file_path}: {e}")

def main():
    # Get all files in the LOCAL_FOLDER
    files_to_upload = [
        os.path.join(LOCAL_FOLDER, f) for f in os.listdir(LOCAL_FOLDER)
        if os.path.isfile(os.path.join(LOCAL_FOLDER, f))
    ]
    
    # Determine the number of processes to use
    num_processes = min(cpu_count(), len(files_to_upload))

    # Use multiprocessing Pool to upload files in parallel
    with Pool(processes=num_processes) as pool:
        pool.map(upload_file, files_to_upload)

if __name__ == "__main__":
    main()