AI-Interview-backend/test_audio_processing.py at main · Zylus08/AI-Interview-backend · GitHub

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
68
69
#!/usr/bin/env python3
"""
Test script for audio processing functionality
Tests speech-to-text conversion and voice analysis
"""

import asyncio
import sys
import os
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from interview.speech_to_text import speech_converter
from interview.voice_analyzer import VoiceAnalyzer

def test_audio_processing():
    """Test audio processing with sample data"""
    print("🎤 Testing Audio Processing Functionality")
    print("=" * 50)

    # Initialize components
    voice_analyzer = VoiceAnalyzer()

    # Test with empty audio (fallback behavior)
    print("\n1. Testing fallback behavior (no audio):")
    try:
        # Test speech-to-text fallback
        transcribed_text = speech_converter.convert_audio_to_text(b"")
        print(f"   Speech-to-Text: {transcribed_text}")

        # Test voice analysis fallback
        voice_analysis = voice_analyzer.analyze_voice(audio_data=b"")
        print(f"   Voice Analysis: {voice_analysis}")

        print("   ✅ Fallback behavior working correctly")

    except Exception as e:
        print(f"   ❌ Error in fallback: {e}")

    # Test with sample audio bytes (simulated)
    print("\n2. Testing with sample audio data:")
    try:
        # Create some dummy audio data
        sample_audio = b"dummy_audio_data_for_testing" * 100

        # Test speech-to-text
        transcribed_text = speech_converter.convert_audio_to_text(sample_audio)
        print(f"   Speech-to-Text: {transcribed_text}")

        # Test voice analysis
        voice_analysis = voice_analyzer.analyze_voice(audio_data=sample_audio)
        print(f"   Voice Scores: {voice_analysis.get('voice_scores', {})}")
        print(f"   Voice Metrics: {voice_analysis.get('voice_metrics', {})}")

        print("   ✅ Audio processing pipeline working")

    except Exception as e:
        print(f"   ❌ Error in audio processing: {e}")

    print("\n" + "=" * 50)
    print("🎯 Audio Processing Test Complete")
    print("\nFeatures implemented:")
    print("✅ Speech-to-Text conversion")
    print("✅ Voice analysis (confidence, tone, fluency, clarity, pace)")
    print("✅ Fallback handling for missing/invalid audio")
    print("✅ API endpoints for audio upload")
    print("✅ Integration with session management")

if __name__ == "__main__":
    test_audio_processing()