#!/usr/bin/env python3 """ Script to move preprocessed data to main dataset """ import os import shutil from pathlib import Path import json def move_preprocessed_data(): """Move preprocessed data to main dataset""" # Create directories if they don't exist os.makedirs("audio", exist_ok=True) os.makedirs("aitranscripts", exist_ok=True) # Get the next available ID existing_audio = list(Path("audio").glob("*")) next_id = 1 if existing_audio: # Extract numbers from existing files and find the max ids = [] for f in existing_audio: try: ids.append(int(f.stem)) except ValueError: pass if ids: next_id = max(ids) + 1 # Move files from preprocessing queue queue_files = list(Path("preprocessing/queue").glob("*")) if not queue_files: print("No files in preprocessing queue") return moved_files = [] for queue_file in queue_files: if queue_file.suffix in ['.mp3', '.wav']: # Move audio file new_name = f"{next_id}{queue_file.suffix}" dest_path = Path("audio") / new_name shutil.move(str(queue_file), str(dest_path)) # Look for corresponding transcript transcript_file = Path("preprocessing/transcripts") / f"{queue_file.stem}.txt" if transcript_file.exists(): dest_transcript = Path("aitranscripts") / f"{next_id}.txt" shutil.move(str(transcript_file), str(dest_transcript)) else: # Create empty transcript file dest_transcript = Path("aitranscripts") / f"{next_id}.txt" dest_transcript.write_text("") moved_files.append((new_name, next_id)) next_id += 1 if moved_files: print(f"Moved {len(moved_files)} files to main dataset:") for filename, file_id in moved_files: print(f" - {filename} (ID: {file_id})") # Regenerate task list and dataset metadata print("\nRegenerating task list and dataset metadata...") os.system("python3 setup_annotation.py") else: print("No audio files found in preprocessing queue") if __name__ == "__main__": move_preprocessed_data()