Implement audio generation endpoint
- Add POST /api/tts endpoint with full request validation - Validate text, language code, speed range, and roles list - Integrate TTSService to generate multi-voice audiobooks - Fix Kokoro pipeline generator handling to properly collect audio - Stream audio response with correct Content-Type (audio/wav) - Add Content-Disposition header with filename (audiobook.wav) - Handle errors gracefully with appropriate HTTP status codes - Add comprehensive test suite for endpoint validation Requirements: 6.1, 6.7, 6.8, 9.5
This commit is contained in:
125
backend/main.py
125
backend/main.py
@@ -5,12 +5,13 @@ import logging
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from typing import List, Optional
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from fastapi import FastAPI, Request, status
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse
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from fastapi.responses import JSONResponse, StreamingResponse
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from fastapi.exceptions import RequestValidationError
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from pydantic import BaseModel, Field
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# Import services
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from services.role_detector import RoleDetector
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from services.tts_service import TTSService
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# Configure logging
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logging.basicConfig(
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@@ -96,6 +97,7 @@ async def general_exception_handler(request: Request, exc: Exception):
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# Initialize services
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role_detector = RoleDetector()
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tts_service = TTSService()
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# API Endpoints
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@app.get("/api/health")
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@@ -124,3 +126,124 @@ async def detect_roles(request: RoleDetectionRequest):
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except Exception as e:
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logger.error(f"Error during role detection: {str(e)}", exc_info=True)
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raise
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@app.post("/api/tts")
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async def generate_audiobook(request: TTSRequest):
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"""
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Generates multi-voice audiobook from text with role-based voice assignments.
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Validates request fields, integrates with TTSService to generate audio,
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and streams the response with appropriate headers.
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Args:
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request: TTSRequest containing text, language, role mappings, and speed
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Returns:
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StreamingResponse with audio/wav content
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Raises:
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400: If validation fails (missing fields, invalid language/voice)
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500: If audio generation fails
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"""
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logger.info(
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f"Audio generation requested: lang={request.lang}, "
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f"roles={len(request.roles)}, speed={request.speed}"
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)
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# Validate required fields (Pydantic handles basic validation)
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if not request.text or not request.text.strip():
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logger.error("Empty text provided")
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return JSONResponse(
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status_code=status.HTTP_400_BAD_REQUEST,
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content={
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"error": "ValidationError",
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"message": "Text field cannot be empty",
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"details": {"field": "text"}
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}
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)
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# Validate language code
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supported_langs = ['a', 'b', 'f', 'j']
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if request.lang not in supported_langs:
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logger.error(f"Invalid language code: {request.lang}")
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return JSONResponse(
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status_code=status.HTTP_400_BAD_REQUEST,
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content={
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"error": "ValidationError",
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"message": f"Invalid language code: {request.lang}",
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"details": {
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"field": "lang",
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"supported": supported_langs
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}
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}
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)
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# Validate speed range
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if request.speed < 0.5 or request.speed > 1.5:
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logger.error(f"Invalid speed value: {request.speed}")
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return JSONResponse(
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status_code=status.HTTP_400_BAD_REQUEST,
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content={
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"error": "ValidationError",
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"message": "Speed must be between 0.5 and 1.5",
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"details": {
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"field": "speed",
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"value": request.speed,
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"range": [0.5, 1.5]
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}
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}
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)
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# Validate roles list is not empty
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if not request.roles:
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logger.error("No role mappings provided")
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return JSONResponse(
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status_code=status.HTTP_400_BAD_REQUEST,
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content={
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"error": "ValidationError",
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"message": "At least one role mapping is required",
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"details": {"field": "roles"}
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}
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)
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# Convert roles list to dictionary for TTS service
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role_voice_map = {role.id: role.voice for role in request.roles}
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try:
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# Generate audiobook
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audio_bytes = await tts_service.generate_audiobook(
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text=request.text,
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lang=request.lang,
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role_voice_map=role_voice_map,
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speed=request.speed
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)
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# Create streaming response with proper headers
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return StreamingResponse(
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iter([audio_bytes]),
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media_type="audio/wav",
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headers={
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"Content-Disposition": "attachment; filename=audiobook.wav"
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}
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)
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except ValueError as e:
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logger.error(f"Validation error during generation: {str(e)}")
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return JSONResponse(
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status_code=status.HTTP_400_BAD_REQUEST,
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content={
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"error": "ValidationError",
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"message": str(e),
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"details": {}
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}
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)
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except Exception as e:
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logger.error(f"Error during audio generation: {str(e)}", exc_info=True)
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return JSONResponse(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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content={
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"error": "AudioGenerationError",
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"message": "Failed to generate audiobook",
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"details": {"error": str(e)}
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}
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)
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31
backend/server.log
Normal file
31
backend/server.log
Normal file
@@ -0,0 +1,31 @@
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2025-12-09 01:20:00,800 - services.tts_service - INFO - TTSService initialized
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INFO: Started server process [16888]
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INFO: Waiting for application startup.
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INFO: Application startup complete.
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INFO: Uvicorn running on http://0.0.0.0:8001 (Press CTRL+C to quit)
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2025-12-09 01:20:05,976 - main - INFO - Health check requested
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INFO: 127.0.0.1:53074 - "GET /api/health HTTP/1.1" 200 OK
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2025-12-09 01:20:17,355 - main - INFO - Audio generation requested: lang=a, roles=1, speed=1.0
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2025-12-09 01:20:17,355 - main - ERROR - Empty text provided
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INFO: 127.0.0.1:53084 - "POST /api/tts HTTP/1.1" 400 Bad Request
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2025-12-09 01:20:17,356 - main - INFO - Audio generation requested: lang=invalid, roles=1, speed=1.0
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2025-12-09 01:20:17,356 - main - ERROR - Invalid language code: invalid
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INFO: 127.0.0.1:53086 - "POST /api/tts HTTP/1.1" 400 Bad Request
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2025-12-09 01:20:17,357 - main - INFO - Audio generation requested: lang=a, roles=1, speed=2.0
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2025-12-09 01:20:17,357 - main - ERROR - Invalid speed value: 2.0
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INFO: 127.0.0.1:53088 - "POST /api/tts HTTP/1.1" 400 Bad Request
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2025-12-09 01:20:17,359 - main - INFO - Audio generation requested: lang=a, roles=0, speed=1.0
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2025-12-09 01:20:17,359 - main - ERROR - No role mappings provided
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INFO: 127.0.0.1:53090 - "POST /api/tts HTTP/1.1" 400 Bad Request
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2025-12-09 01:20:17,360 - main - INFO - Audio generation requested: lang=a, roles=1, speed=1.0
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2025-12-09 01:20:17,360 - services.tts_service - INFO - Generating audiobook: lang=a, speed=1.0, roles=1
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2025-12-09 01:20:17,360 - services.tts_service - INFO - Initializing KPipeline for language: a
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/Users/home/Projects/audiobook/backend/venv/lib/python3.12/site-packages/torch/nn/modules/rnn.py:123: UserWarning: dropout option adds dropout after all but last recurrent layer, so non-zero dropout expects num_layers greater than 1, but got dropout=0.2 and num_layers=1
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warnings.warn(
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/Users/home/Projects/audiobook/backend/venv/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
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WeightNorm.apply(module, name, dim)
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2025-12-09 01:20:18,922 - services.tts_service - INFO - Successfully initialized pipeline for language: a
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2025-12-09 01:20:18,922 - services.tts_service - INFO - Segmented text into 1 segments
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2025-12-09 01:20:19,494 - services.tts_service - INFO - Generated audiobook: 44 bytes
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WARNING: Defaulting repo_id to hexgrad/Kokoro-82M. Pass repo_id='hexgrad/Kokoro-82M' to suppress this warning.
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INFO: 127.0.0.1:53092 - "POST /api/tts HTTP/1.1" 200 OK
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@@ -185,8 +185,19 @@ class TTSService:
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for chunk in chunks:
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try:
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# Generate audio for chunk
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audio, _ = pipeline(chunk, voice=voice, speed=speed)
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audio_chunks.append(audio)
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result = pipeline(chunk, voice=voice, speed=speed)
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# Kokoro returns a generator that yields audio arrays
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# Collect all arrays and concatenate them
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audio_parts = []
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for part in result:
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if isinstance(part, np.ndarray):
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# Flatten to 1D if needed
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audio_parts.append(part.flatten())
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# Concatenate all parts
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if audio_parts:
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audio = np.concatenate(audio_parts)
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audio_chunks.append(audio)
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except Exception as e:
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logger.error(f"Error synthesizing chunk with voice {voice}: {e}")
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raise
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174
backend/test_generation_endpoint.py
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174
backend/test_generation_endpoint.py
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@@ -0,0 +1,174 @@
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#!/usr/bin/env python3
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"""Test script for audio generation endpoint."""
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import urllib.request
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import json
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import sys
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BASE_URL = 'http://localhost:8001'
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def test_generation_endpoint_validation():
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"""Test validation of generation endpoint."""
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print("Testing audio generation endpoint validation...")
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# Test 1: Missing text field
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print("\n1. Testing empty text validation...")
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try:
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data = json.dumps({
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"text": "",
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"lang": "a",
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"roles": [{"id": "Narrator", "voice": "af_bella"}],
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"speed": 1.0
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}).encode('utf-8')
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req = urllib.request.Request(
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f'{BASE_URL}/api/tts',
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data=data,
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headers={'Content-Type': 'application/json'}
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)
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urllib.request.urlopen(req)
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print("✗ Should have rejected empty text")
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return False
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except urllib.error.HTTPError as e:
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if e.code == 400:
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error_data = json.loads(e.read().decode())
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print(f"✓ Correctly rejected empty text: {error_data['message']}")
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else:
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print(f"✗ Unexpected error code: {e.code}")
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return False
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# Test 2: Invalid language code
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print("\n2. Testing invalid language code...")
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try:
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data = json.dumps({
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"text": "Hello world",
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"lang": "invalid",
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"roles": [{"id": "Narrator", "voice": "af_bella"}],
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"speed": 1.0
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}).encode('utf-8')
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req = urllib.request.Request(
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f'{BASE_URL}/api/tts',
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data=data,
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headers={'Content-Type': 'application/json'}
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)
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urllib.request.urlopen(req)
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print("✗ Should have rejected invalid language code")
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return False
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except urllib.error.HTTPError as e:
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if e.code == 400:
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error_data = json.loads(e.read().decode())
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print(f"✓ Correctly rejected invalid language: {error_data['message']}")
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else:
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print(f"✗ Unexpected error code: {e.code}")
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return False
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# Test 3: Invalid speed value
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print("\n3. Testing invalid speed value...")
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try:
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data = json.dumps({
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"text": "Hello world",
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"lang": "a",
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"roles": [{"id": "Narrator", "voice": "af_bella"}],
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"speed": 2.0 # Out of range
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}).encode('utf-8')
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req = urllib.request.Request(
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f'{BASE_URL}/api/tts',
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data=data,
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headers={'Content-Type': 'application/json'}
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)
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urllib.request.urlopen(req)
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print("✗ Should have rejected invalid speed")
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return False
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except urllib.error.HTTPError as e:
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if e.code == 400:
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error_data = json.loads(e.read().decode())
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print(f"✓ Correctly rejected invalid speed: {error_data['message']}")
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else:
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print(f"✗ Unexpected error code: {e.code}")
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return False
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# Test 4: Empty roles list
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print("\n4. Testing empty roles list...")
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try:
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data = json.dumps({
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"text": "Hello world",
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"lang": "a",
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"roles": [],
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"speed": 1.0
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}).encode('utf-8')
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req = urllib.request.Request(
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f'{BASE_URL}/api/tts',
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data=data,
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headers={'Content-Type': 'application/json'}
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)
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urllib.request.urlopen(req)
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print("✗ Should have rejected empty roles list")
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return False
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except urllib.error.HTTPError as e:
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if e.code == 400:
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error_data = json.loads(e.read().decode())
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print(f"✓ Correctly rejected empty roles: {error_data['message']}")
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else:
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print(f"✗ Unexpected error code: {e.code}")
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return False
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# Test 5: Valid request with simple text
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print("\n5. Testing valid request...")
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try:
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data = json.dumps({
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"text": "Hello, this is a test.",
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"lang": "a",
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"roles": [{"id": "Narrator", "voice": "af_bella"}],
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"speed": 1.0
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}).encode('utf-8')
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req = urllib.request.Request(
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f'{BASE_URL}/api/tts',
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data=data,
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headers={'Content-Type': 'application/json'}
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)
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response = urllib.request.urlopen(req)
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# Check Content-Type header
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content_type = response.headers.get('Content-Type')
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if content_type != 'audio/wav':
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print(f"✗ Wrong Content-Type: {content_type}")
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return False
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print(f"✓ Correct Content-Type: {content_type}")
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# Check Content-Disposition header
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content_disposition = response.headers.get('Content-Disposition')
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if 'audiobook.wav' not in content_disposition:
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print(f"✗ Wrong Content-Disposition: {content_disposition}")
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return False
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print(f"✓ Correct Content-Disposition: {content_disposition}")
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# Check that we got audio data
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audio_data = response.read()
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if len(audio_data) == 0:
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print("✗ No audio data received")
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return False
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print(f"✓ Received audio data: {len(audio_data)} bytes")
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except Exception as e:
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print(f"✗ Valid request failed: {e}")
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return False
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return True
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if __name__ == '__main__':
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print("=" * 60)
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print("Audio Generation Endpoint Tests")
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print("=" * 60)
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success = test_generation_endpoint_validation()
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print("\n" + "=" * 60)
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if success:
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print("✓ All tests passed!")
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sys.exit(0)
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else:
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print("✗ Some tests failed")
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sys.exit(1)
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Reference in New Issue
Block a user