pdf_explainer / api /test_api.py
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#!/usr/bin/env python3
"""
Test script for the enhanced Chatterbox TTS Modal API
This script demonstrates how to interact with all the new endpoints
"""
import requests
import base64
import json
import os
from pathlib import Path
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
# Base URLs for the deployed endpoints
ENDPOINTS = {
"health": os.getenv("HEALTH_ENDPOINT"),
"generate_audio": os.getenv("GENERATE_AUDIO_ENDPOINT"),
"generate_json": os.getenv("GENERATE_JSON_ENDPOINT"),
"generate_with_file": os.getenv("GENERATE_WITH_FILE_ENDPOINT"),
"generate": os.getenv("GENERATE_ENDPOINT"),
"generate_full_text_audio": os.getenv("GENERATE_FULL_TEXT_AUDIO_ENDPOINT"),
"generate_full_text_json": os.getenv("GENERATE_FULL_TEXT_JSON_ENDPOINT")
}
def test_health_check():
"""Test the health check endpoint"""
print("Testing health check...")
try:
response = requests.get(ENDPOINTS["health"])
print(f"Status: {response.status_code}")
print(f"Response: {response.json()}")
return response.status_code == 200
except Exception as e:
print(f"Health check failed: {e}")
return False
def test_basic_generation():
"""Test basic text-to-speech generation"""
print("\nTesting basic audio generation...")
try:
response = requests.post(
ENDPOINTS["generate_audio"],
json={"text": "Hello, this is Chatterbox TTS running on Modal!"}
)
if response.status_code == 200:
Path("output").mkdir(exist_ok=True)
with open("output/basic_output.wav", "wb") as f:
f.write(response.content)
print("βœ“ Basic generation successful - saved as output/basic_output.wav")
return True
else:
print(f"βœ— Basic generation failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except Exception as e:
print(f"βœ— Basic generation error: {e}")
return False
def test_json_generation():
"""Test JSON response with base64 audio"""
print("\nTesting JSON audio generation...")
try:
response = requests.post(
ENDPOINTS["generate_json"],
json={"text": "This returns JSON with base64 audio data"}
)
if response.status_code == 200:
data = response.json()
if data['success'] and data['audio_base64']:
# Decode base64 audio and save
Path("output").mkdir(exist_ok=True)
audio_data = base64.b64decode(data['audio_base64'])
with open("output/json_output.wav", "wb") as f:
f.write(audio_data)
print(f"βœ“ JSON generation successful - Duration: {data['duration_seconds']:.2f}s")
print(" Saved as output/json_output.wav")
return True
else:
print(f"βœ— JSON generation failed: {data['message']}")
return False
else:
print(f"βœ— JSON generation failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except Exception as e:
print(f"βœ— JSON generation error: {e}")
return False
def test_voice_cloning():
"""Test voice cloning with audio prompt"""
print("\nTesting voice cloning...")
# First, check if we have a sample audio file
sample_file = Path("voice_sample.wav")
if not sample_file.exists():
print("⚠ No voice_sample.wav found - skipping voice cloning test")
print(" To test voice cloning, add a voice_sample.wav file")
return True
try:
# Read the voice sample and encode as base64
with open(sample_file, "rb") as f:
voice_data = base64.b64encode(f.read()).decode()
response = requests.post(
ENDPOINTS["generate_audio"],
json={
"text": "This should sound like the provided voice sample!",
"voice_prompt_base64": voice_data
}
)
if response.status_code == 200:
Path("output").mkdir(exist_ok=True)
with open("output/cloned_output.wav", "wb") as f:
f.write(response.content)
print("βœ“ Voice cloning successful - saved as output/cloned_output.wav")
return True
else:
print(f"βœ— Voice cloning failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except Exception as e:
print(f"βœ— Voice cloning error: {e}")
return False
def test_file_upload():
"""Test file upload endpoint"""
print("\nTesting file upload...")
sample_file = Path("voice_sample.wav")
if not sample_file.exists():
print("⚠ No voice_sample.wav found - testing without voice prompt")
files = None
else:
files = {"voice_prompt": open(sample_file, "rb")}
try:
data = {"text": "Testing the file upload endpoint!"}
response = requests.post(ENDPOINTS["generate_with_file"], data=data, files=files)
if files:
files["voice_prompt"].close()
if response.status_code == 200:
Path("output").mkdir(exist_ok=True)
with open("output/upload_output.wav", "wb") as f:
f.write(response.content)
print("βœ“ File upload successful - saved as output/upload_output.wav")
return True
else:
print(f"βœ— File upload failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except Exception as e:
print(f"βœ— File upload error: {e}")
return False
def test_legacy_endpoint():
"""Test backward compatibility with legacy endpoint"""
print("\nTesting legacy endpoint...")
try:
# Legacy endpoint expects query parameters, not form data
response = requests.post(
ENDPOINTS["generate"],
params={"prompt": "Testing the legacy endpoint for backward compatibility"}
)
if response.status_code == 200:
Path("output").mkdir(exist_ok=True)
with open("output/legacy_output.wav", "wb") as f:
f.write(response.content)
print("βœ“ Legacy endpoint successful - saved as output/legacy_output.wav")
return True
else:
print(f"βœ— Legacy endpoint failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except Exception as e:
print(f"βœ— Legacy endpoint error: {e}")
return False
def test_full_text_generation():
"""Test full-text audio generation with server-side chunking"""
print("\nTesting full-text audio generation...")
# Create a long text that will require chunking
long_text = """
This is a comprehensive test of the full-text audio generation endpoint.
The text is intentionally long to demonstrate the server-side chunking capabilities.
The enhanced API will automatically split this text into appropriate chunks,
process them in parallel using GPU acceleration, and then concatenate the
resulting audio segments with proper transitions and fade effects.
This approach significantly improves performance for long documents while
maintaining high audio quality and natural speech flow. The server handles
all the complex processing, allowing the client to simply send the full text
and receive the final audio file.
The chunking algorithm respects sentence and paragraph boundaries to ensure
natural speech patterns and maintains proper context across chunk boundaries.
This results in more natural-sounding speech for long-form content.
"""
try:
if not ENDPOINTS["generate_full_text_audio"]:
print("⚠ FULL_TEXT_TTS_ENDPOINT not configured - skipping full-text test")
return True
response = requests.post(
ENDPOINTS["generate_full_text_audio"],
json={
"text": long_text.strip(),
"max_chunk_size": 400, # Smaller chunks for testing
"silence_duration": 0.3,
"fade_duration": 0.1,
"overlap_sentences": 0
},
timeout=120 # Longer timeout for processing
)
if response.status_code == 200:
Path("output").mkdir(exist_ok=True)
with open("output/full_text_output.wav", "wb") as f:
f.write(response.content)
# Check response headers for processing info
duration = response.headers.get('X-Audio-Duration', 'unknown')
chunks = response.headers.get('X-Chunks-Processed', 'unknown')
characters = response.headers.get('X-Total-Characters', len(long_text))
print(f"βœ“ Full-text generation successful")
print(f" Duration: {duration}s")
print(f" Chunks processed: {chunks}")
print(f" Characters: {characters}")
print(" Saved as output/full_text_output.wav")
return True
else:
print(f"βœ— Full-text generation failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except requests.exceptions.Timeout:
print("βœ— Full-text generation timed out (this may be normal for very long texts)")
return False
except Exception as e:
print(f"βœ— Full-text generation error: {e}")
return False
def test_full_text_json():
"""Test full-text JSON response with processing information"""
print("\nTesting full-text JSON response...")
test_text = """
This is a test of the full-text JSON endpoint that returns detailed
processing information along with the base64 encoded audio data.
The response includes chunk information, processing parameters,
and timing details that can be useful for monitoring and debugging.
"""
try:
if not ENDPOINTS["generate_full_text_json"]:
print("⚠ FULL_TEXT_JSON_ENDPOINT not configured - skipping test")
return True
response = requests.post(
ENDPOINTS["generate_full_text_json"],
json={
"text": test_text.strip(),
"max_chunk_size": 300,
"silence_duration": 0.4,
"fade_duration": 0.15
},
timeout=60
)
if response.status_code == 200:
data = response.json()
if data['success'] and data['audio_base64']:
# Decode and save audio
Path("output").mkdir(exist_ok=True)
audio_data = base64.b64decode(data['audio_base64'])
with open("output/full_text_json_output.wav", "wb") as f:
f.write(audio_data)
# Display processing information
print(f"βœ“ Full-text JSON generation successful")
print(f" Duration: {data['duration_seconds']:.2f}s")
if 'processing_info' in data:
info = data['processing_info']
if 'chunk_info' in info:
chunk_info = info['chunk_info']
print(f" Chunks: {chunk_info.get('total_chunks', 'unknown')}")
print(f" Characters: {chunk_info.get('total_characters', 'unknown')}")
print(f" Avg chunk size: {chunk_info.get('avg_chunk_size', 'unknown'):.0f}")
print(" Saved as output/full_text_json_output.wav")
return True
else:
print(f"βœ— Full-text JSON generation failed: {data['message']}")
return False
else:
print(f"βœ— Full-text JSON generation failed: {response.status_code}")
print(f"Response: {response.text}")
return False
except Exception as e:
print(f"βœ— Full-text JSON generation error: {e}")
return False
def test_performance_comparison():
"""Compare performance between standard and full-text endpoints"""
print("\nTesting performance comparison...")
# Short text for standard endpoint
short_text = "This is a short text for performance comparison testing."
# Medium text that benefits from chunking
medium_text = """
This is a medium-length text designed to test the performance differences
between the standard endpoint and the enhanced full-text endpoint.
The full-text endpoint should show its advantages when processing longer
texts that require intelligent chunking and parallel processing.
This text is long enough to require multiple chunks but not so long
that it becomes unwieldy for testing purposes.
"""
results = {}
try:
# Test standard endpoint with short text
import time
start_time = time.time()
response = requests.post(
ENDPOINTS["generate_audio"],
json={"text": short_text},
timeout=30
)
if response.status_code == 200:
results['standard_short'] = time.time() - start_time
print(f"βœ“ Standard endpoint (short): {results['standard_short']:.2f}s")
# Test full-text endpoint with medium text
if ENDPOINTS["generate_full_text_audio"]:
start_time = time.time()
response = requests.post(
ENDPOINTS["generate_full_text_audio"],
json={
"text": medium_text.strip(),
"max_chunk_size": 300
},
timeout=60
)
if response.status_code == 200:
results['fulltext_medium'] = time.time() - start_time
chunks = response.headers.get('X-Chunks-Processed', 'unknown')
print(f"βœ“ Full-text endpoint (medium, {chunks} chunks): {results['fulltext_medium']:.2f}s")
# Summary
if results:
print(" Performance comparison complete!")
return True
else:
print(" Could not complete performance comparison")
return False
except Exception as e:
print(f"βœ— Performance comparison error: {e}")
return False
def main():
"""Run all tests"""
print("Enhanced Chatterbox TTS API Test Suite")
print("=" * 50)
# Check if required endpoints are configured
missing_endpoints = [name for name, url in ENDPOINTS.items() if not url]
if missing_endpoints:
print("⚠ Warning: Some endpoints not configured:")
for endpoint in missing_endpoints:
print(f" {endpoint}")
print(" Set environment variables in .env file")
print()
tests = [
test_health_check,
test_basic_generation,
test_json_generation,
test_voice_cloning,
test_file_upload,
test_legacy_endpoint,
test_full_text_generation,
test_performance_comparison
]
results = []
for test in tests:
results.append(test())
print("\n" + "=" * 50)
print("Test Results:")
passed = sum(results)
total = len(results)
print(f"βœ“ {passed}/{total} tests passed")
if passed == total:
print("πŸŽ‰ All tests passed!")
print("\nGenerated files in output/ directory:")
output_dir = Path("output")
if output_dir.exists():
for file in output_dir.glob("*.wav"):
size_kb = file.stat().st_size / 1024
print(f" {file.name} ({size_kb:.1f} KB)")
else:
print("⚠ Some tests failed - check your Modal deployment")
print(f"\nAPI Endpoints tested:")
for name, url in ENDPOINTS.items():
status = "βœ“" if url else "βœ—"
print(f" {status} {name}: {url or 'Not configured'}")
def create_sample_env_file():
"""Create a sample .env file with endpoint placeholders"""
env_content = """# Enhanced Chatterbox TTS API Endpoints
# Replace YOUR-MODAL-ENDPOINT with your actual Modal deployment URL
HEALTH_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/health
GENERATE_AUDIO_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/generate_audio
GENERATE_JSON_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/generate_json
GENERATE_WITH_FILE_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/generate_with_file
GENERATE_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/generate
# New enhanced endpoints
FULL_TEXT_TTS_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/generate_full_text_audio
FULL_TEXT_JSON_ENDPOINT=https://YOUR-MODAL-ENDPOINT.modal.run/generate_full_text_json
"""
if not Path(".env").exists():
with open(".env", "w") as f:
f.write(env_content)
print("Created sample .env file - please update with your actual endpoints")
if __name__ == "__main__":
# Create sample .env if it doesn't exist
create_sample_env_file()
main()