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0917dba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | 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")
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