pathScripts/aax2mp3

#!/usr/bin/env python3

import concurrent.futures
import subprocess
import glob
import os
import multiprocessing

# Different ways to get CPU count
logical_cores = os.cpu_count()  # All cores including hyperthreading
physical_cores = multiprocessing.cpu_count()  # Same as above
# For more detailed info on Apple Silicon:
try:
    # This works on macOS to get performance core count
    p_cores = len([x for x in os.sched_getaffinity(0) if x < os.cpu_count()//2])
except AttributeError:
    p_cores = physical_cores

print(f"System has {logical_cores} logical cores")
max_workers = max(1, logical_cores - 2)  # Leave 2 cores free for system

def convert_file(aax_file):
    mp3_file = aax_file.replace('.aax', '.mp3')
    print(f"Converting {aax_file} to {mp3_file}")
    subprocess.run(['ffmpeg', '-activation_bytes', os.getenv('AUDIBLE_ACTIVATION_BYTES'),
                   '-i', aax_file, mp3_file], check=True)

aax_files = glob.glob('*.aax')
if not aax_files:
    print("No .aax files found in current directory")
    exit(1)

print(f"Found {len(aax_files)} files to convert")
print(f"Will convert {max_workers} files simultaneously")

with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
    list(executor.map(convert_file, aax_files))