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| import sys | |
| import os | |
| sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) | |
| from app.audio.decoder import decode_audio, cleanup_temp_dir | |
| from app.audio.features import extract_features | |
| import glob | |
| print("=" * 60) | |
| print("DETAILED MP3 DEBUG TEST") | |
| print("=" * 60) | |
| # Get an MP3 file | |
| mp3_files = glob.glob("dataset/ai_generated/*/*.mp3")[:1] | |
| if not mp3_files: | |
| print("❌ No MP3 files found") | |
| exit(1) | |
| mp3_file = mp3_files[0] | |
| print(f"\nTesting: {mp3_file}") | |
| # Read and encode | |
| with open(mp3_file, 'rb') as f: | |
| import base64 | |
| audio_base64 = base64.b64encode(f.read()).decode('utf-8') | |
| print(f"Encoded size: {len(audio_base64)} chars") | |
| # Step 1: Decode | |
| print("\n1. Decoding audio...") | |
| try: | |
| temp_path, temp_dir = decode_audio(audio_base64) | |
| print(f" ✅ Decoded to: {temp_path}") | |
| print(f" Temp dir: {temp_dir}") | |
| print(f" File exists: {os.path.exists(temp_path)}") | |
| except Exception as e: | |
| print(f" ❌ FAILED: {e}") | |
| import traceback | |
| traceback.print_exc() | |
| exit(1) | |
| # Step 2: Extract features | |
| print("\n2. Extracting features...") | |
| try: | |
| features = extract_features(temp_path) | |
| print(f" ✅ Extracted {len(features)} features") | |
| except Exception as e: | |
| print(f" ❌ FAILED: {e}") | |
| import traceback | |
| traceback.print_exc() | |
| cleanup_temp_dir(temp_dir) | |
| exit(1) | |
| # Step 3: Cleanup | |
| print("\n3. Cleaning up...") | |
| try: | |
| cleanup_temp_dir(temp_dir) | |
| print(f" ✅ Cleaned up") | |
| print(f" Temp dir exists: {os.path.exists(temp_dir)}") | |
| except Exception as e: | |
| print(f" ⚠️ Cleanup issue: {e}") | |
| import traceback | |
| traceback.print_exc() | |
| print("\n✅ ALL STEPS COMPLETED") | |