import sys import os import re import gc import lhotse def main(): if len(sys.argv) != 3: print("Usage: python process_single_chunk.py ") sys.exit(1) base_output_dir = sys.argv[1] tiny_manifest_path = sys.argv[2] # Extract the index from the filename (e.g., "manifest_0042.jsonl.gz" -> 42) match = re.search(r'manifest_(\d+)', os.path.basename(tiny_manifest_path)) if match: chunk_idx = int(match.group(1)) else: print(f"[Worker] Could not extract chunk index from {tiny_manifest_path}. Aborting.") sys.exit(1) # 1. Setup Backends from lhotse.audio.backend import ( CompositeAudioBackend, LibsndfileBackend, TorchaudioFFMPEGBackend ) from lhotse import set_caching_enabled set_caching_enabled(False) gc.set_threshold(100, 2, 2) composite = CompositeAudioBackend(backends=[ LibsndfileBackend(), TorchaudioFFMPEGBackend() ]) lhotse.audio.set_current_audio_backend(composite) # 2. Setup output directory output_dir = os.path.join(base_output_dir, f"chunk_{chunk_idx:04d}") os.makedirs(output_dir, exist_ok=True) print(f"[Worker] Starting Chunk {chunk_idx} using {os.path.basename(tiny_manifest_path)}") try: # 3. Load the TINY manifest chunk_cutset = lhotse.CutSet.from_jsonl(tiny_manifest_path) # 4. Export the SHAR data chunk_cutset.to_shar( output_dir, fields={"recording": "opus"}, shard_size=10000, num_jobs=1, fault_tolerant=True ) print(f"[Worker] Finished Chunk {chunk_idx}.") # 5. Delete the manifest to mark as complete os.remove(tiny_manifest_path) print(f"[Worker] Deleted manifest {os.path.basename(tiny_manifest_path)}") except Exception as e: print(f"[Worker] FAILED Chunk {chunk_idx}. Manifest kept for retry. Error: {e}") # Exit with an error code so Bash knows this specific job failed sys.exit(1) if __name__ == '__main__': main()