From 80513a3258afaf54d45f08a683363140a97f1210 Mon Sep 17 00:00:00 2001 From: bdim404 Date: Mon, 26 Jan 2026 15:34:31 +0800 Subject: [PATCH] init commit Co-Authored-By: Claude Sonnet 4.5 --- .gitignore | 28 + README.md | 76 + README.zh.md | 76 + qwen3-tts-backend/.env.example | 22 + qwen3-tts-backend/.gitignore | 11 + qwen3-tts-backend/api/__init__.py | 0 qwen3-tts-backend/api/auth.py | 107 + qwen3-tts-backend/api/cache.py | 156 + qwen3-tts-backend/api/jobs.py | 176 + qwen3-tts-backend/api/metrics.py | 21 + qwen3-tts-backend/api/tts.py | 553 ++ qwen3-tts-backend/api/users.py | 169 + qwen3-tts-backend/config.py | 66 + qwen3-tts-backend/core/__init__.py | 0 qwen3-tts-backend/core/batch_processor.py | 141 + qwen3-tts-backend/core/cache_manager.py | 161 + qwen3-tts-backend/core/cleanup.py | 166 + qwen3-tts-backend/core/config.py | 3 + qwen3-tts-backend/core/database.py | 3 + qwen3-tts-backend/core/metrics.py | 156 + qwen3-tts-backend/core/model_manager.py | 123 + 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create mode 100644 qwen_tts/__init__.py create mode 100644 qwen_tts/__main__.py create mode 100644 qwen_tts/cli/demo.py create mode 100644 qwen_tts/core/__init__.py create mode 100644 qwen_tts/core/models/__init__.py create mode 100644 qwen_tts/core/models/configuration_qwen3_tts.py create mode 100644 qwen_tts/core/models/modeling_qwen3_tts.py create mode 100644 qwen_tts/core/models/processing_qwen3_tts.py create mode 100644 qwen_tts/core/tokenizer_12hz/configuration_qwen3_tts_tokenizer_v2.py create mode 100644 qwen_tts/core/tokenizer_12hz/modeling_qwen3_tts_tokenizer_v2.py create mode 100644 qwen_tts/core/tokenizer_25hz/configuration_qwen3_tts_tokenizer_v1.py create mode 100644 qwen_tts/core/tokenizer_25hz/modeling_qwen3_tts_tokenizer_v1.py create mode 100644 qwen_tts/core/tokenizer_25hz/vq/assets/mel_filters.npz create mode 100644 qwen_tts/core/tokenizer_25hz/vq/core_vq.py create mode 100644 qwen_tts/core/tokenizer_25hz/vq/speech_vq.py create mode 100644 qwen_tts/core/tokenizer_25hz/vq/whisper_encoder.py create mode 100644 qwen_tts/inference/qwen3_tts_model.py create mode 100644 qwen_tts/inference/qwen3_tts_tokenizer.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..47fb659 --- /dev/null +++ b/.gitignore @@ -0,0 +1,28 @@ +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg +.idea/ +.vscode/ +venv/ +env/ +Qwen/ +qwen3-tts-frontend/node_modules/ +qwen3-tts-frontend/dist/ +qwen3-tts-frontend/.env +qwen3-tts-frontend/.env.local \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..1f3ccd4 --- /dev/null +++ b/README.md @@ -0,0 +1,76 @@ +# Qwen3-TTS WebUI + +A text-to-speech web application based on Qwen3-TTS, supporting custom voice, voice design, and voice cloning. + +[中文文档](./README.zh.md) + +## Features + +- Custom Voice: Predefined speaker voices +- Voice Design: Create voices from natural language descriptions +- Voice Cloning: Clone voices from uploaded audio +- JWT auth, async tasks, voice cache, dark mode + +## Tech Stack + +Backend: FastAPI + SQLAlchemy + PyTorch + JWT +Frontend: React 19 + TypeScript + Vite + Tailwind + Shadcn/ui + +## Quick Start + +### Backend + +```bash +cd qwen3-tts-backend +python -m venv venv +source venv/bin/activate +pip install -r requirements.txt +cp .env.example .env +# Edit .env to configure MODEL_BASE_PATH etc. +uvicorn main:app --host 0.0.0.0 --port 8000 --reload +``` + +### Frontend + +```bash +cd qwen3-tts-frontend +npm install +cp .env.example .env +# Edit .env to configure VITE_API_URL +npm run dev +``` + +Visit `http://localhost:5173` + +## Configuration + +Backend `.env` key settings: + +```env +SECRET_KEY=your-secret-key +MODEL_DEVICE=cuda:0 +MODEL_BASE_PATH=../Qwen +DATABASE_URL=sqlite:///./qwen_tts.db +``` + +Frontend `.env`: + +```env +VITE_API_URL=http://localhost:8000 +``` + +## API + +``` +POST /auth/register - Register +POST /auth/token - Login +POST /tts/custom-voice - Custom voice +POST /tts/voice-design - Voice design +POST /tts/voice-clone - Voice cloning +GET /jobs - Job list +GET /jobs/{id}/download - Download result +``` + +## License + +MIT diff --git a/README.zh.md b/README.zh.md new file mode 100644 index 0000000..bceca4f --- /dev/null +++ b/README.zh.md @@ -0,0 +1,76 @@ +# Qwen3-TTS WebUI + +基于 Qwen3-TTS 的文本转语音 Web 应用，支持自定义语音、语音设计和语音克隆。 + +[English Documentation](./README.md) + +## 功能特性 + +- 自定义语音：预定义说话人语音 +- 语音设计：自然语言描述创建语音 +- 语音克隆：上传音频克隆语音 +- JWT 认证、异步任务、语音缓存、暗黑模式 + +## 技术栈 + +后端：FastAPI + SQLAlchemy + PyTorch + JWT +前端：React 19 + TypeScript + Vite + Tailwind + Shadcn/ui + +## 快速开始 + +### 后端 + +```bash +cd qwen3-tts-backend +python -m venv venv +source venv/bin/activate +pip install -r requirements.txt +cp .env.example .env +# 编辑 .env 配置 MODEL_BASE_PATH 等 +uvicorn main:app --host 0.0.0.0 --port 8000 --reload +``` + +### 前端 + +```bash +cd qwen3-tts-frontend +npm install +cp .env.example .env +# 编辑 .env 配置 VITE_API_URL +npm run dev +``` + +访问 `http://localhost:5173` + +## 配置 + +后端 `.env` 关键配置： + +```env +SECRET_KEY=your-secret-key +MODEL_DEVICE=cuda:0 +MODEL_BASE_PATH=../Qwen +DATABASE_URL=sqlite:///./qwen_tts.db +``` + +前端 `.env`： + +```env +VITE_API_URL=http://localhost:8000 +``` + +## API + +``` +POST /auth/register - 注册 +POST /auth/token - 登录 +POST /tts/custom-voice - 自定义语音 +POST /tts/voice-design - 语音设计 +POST /tts/voice-clone - 语音克隆 +GET /jobs - 任务列表 +GET /jobs/{id}/download - 下载结果 +``` + +## 许可证 + +MIT diff --git a/qwen3-tts-backend/.env.example b/qwen3-tts-backend/.env.example new file mode 100644 index 0000000..7d4e8c2 --- /dev/null +++ b/qwen3-tts-backend/.env.example @@ -0,0 +1,22 @@ +SECRET_KEY=your-secret-key-change-this-in-production +ALGORITHM=HS256 +ACCESS_TOKEN_EXPIRE_MINUTES=30 +DATABASE_URL=sqlite:///./qwen_tts.db +CACHE_DIR=./voice_cache +OUTPUT_DIR=./outputs +MODEL_DEVICE=cuda:0 +MODEL_BASE_PATH=../Qwen +MAX_CACHE_ENTRIES=100 +CACHE_TTL_DAYS=7 +HOST=0.0.0.0 +PORT=8000 +WORKERS=1 +LOG_LEVEL=info +LOG_FILE=./app.log +RATE_LIMIT_PER_MINUTE=50 +RATE_LIMIT_PER_HOUR=1000 +MAX_QUEUE_SIZE=100 +BATCH_SIZE=4 +BATCH_WAIT_TIME=0.5 +MAX_TEXT_LENGTH=1000 +MAX_AUDIO_SIZE_MB=10 diff --git a/qwen3-tts-backend/.gitignore b/qwen3-tts-backend/.gitignore new file mode 100644 index 0000000..768405c --- /dev/null +++ b/qwen3-tts-backend/.gitignore @@ -0,0 +1,11 @@ +.env +*.pyc +__pycache__/ +*.log +qwen_tts.db +voice_cache/ +outputs/ +venv/ +.pytest_cache/ +.coverage +htmlcov/ diff --git a/qwen3-tts-backend/api/__init__.py b/qwen3-tts-backend/api/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/qwen3-tts-backend/api/auth.py b/qwen3-tts-backend/api/auth.py new file mode 100644 index 0000000..e239ec2 --- /dev/null +++ b/qwen3-tts-backend/api/auth.py @@ -0,0 +1,107 @@ +from datetime import timedelta +from typing import Annotated +from fastapi import APIRouter, Depends, HTTPException, status, Request +from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm +from sqlalchemy.orm import Session +from slowapi import Limiter +from slowapi.util import get_remote_address + +from config import settings +from core.security import ( + get_password_hash, + verify_password, + create_access_token, + decode_access_token +) +from db.database import get_db +from db.crud import get_user_by_username, get_user_by_email, create_user +from schemas.user import User, UserCreate, Token + +router = APIRouter(prefix="/auth", tags=["authentication"]) + +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/auth/token") + +limiter = Limiter(key_func=get_remote_address) + +async def get_current_user( + token: Annotated[str, Depends(oauth2_scheme)], + db: Session = Depends(get_db) +) -> User: + credentials_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Could not validate credentials", + headers={"WWW-Authenticate": "Bearer"}, + ) + + username = decode_access_token(token) + if username is None: + raise credentials_exception + + user = get_user_by_username(db, username=username) + if user is None: + raise credentials_exception + + return user + +@router.post("/register", response_model=User, status_code=status.HTTP_201_CREATED) +@limiter.limit("5/minute") +async def register(request: Request, user_data: UserCreate, db: Session = Depends(get_db)): + existing_user = get_user_by_username(db, username=user_data.username) + if existing_user: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Username already registered" + ) + + existing_email = get_user_by_email(db, email=user_data.email) + if existing_email: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Email already registered" + ) + + hashed_password = get_password_hash(user_data.password) + user = create_user( + db, + username=user_data.username, + email=user_data.email, + hashed_password=hashed_password + ) + + return user + +@router.post("/token", response_model=Token) +@limiter.limit("5/minute") +async def login( + request: Request, + form_data: Annotated[OAuth2PasswordRequestForm, Depends()], + db: Session = Depends(get_db) +): + user = get_user_by_username(db, username=form_data.username) + if not user or not verify_password(form_data.password, user.hashed_password): + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Incorrect username or password", + headers={"WWW-Authenticate": "Bearer"}, + ) + + if not user.is_active: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Inactive user" + ) + + access_token_expires = timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES) + access_token = create_access_token( + data={"sub": user.username}, expires_delta=access_token_expires + ) + + return {"access_token": access_token, "token_type": "bearer"} + +@router.get("/me", response_model=User) +@limiter.limit("30/minute") +async def get_current_user_info( + request: Request, + current_user: Annotated[User, Depends(get_current_user)] +): + return current_user diff --git a/qwen3-tts-backend/api/cache.py b/qwen3-tts-backend/api/cache.py new file mode 100644 index 0000000..e669396 --- /dev/null +++ b/qwen3-tts-backend/api/cache.py @@ -0,0 +1,156 @@ +import logging +import json +from pathlib import Path +from typing import Optional +from fastapi import APIRouter, Depends, HTTPException, Request +from sqlalchemy.orm import Session +from slowapi import Limiter +from slowapi.util import get_remote_address + +from core.config import settings +from core.database import get_db +from core.cache_manager import VoiceCacheManager +from api.auth import get_current_user +from db.crud import list_cache_entries, delete_cache_entry +from db.models import VoiceCache, User +from utils.metrics import cache_metrics + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/cache", tags=["cache"]) + +limiter = Limiter(key_func=get_remote_address) + + +@router.get("/voices") +@limiter.limit("30/minute") +async def list_user_caches( + request: Request, + skip: int = 0, + limit: int = 100, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + caches = list_cache_entries(db, current_user.id, skip=skip, limit=limit) + + result = [] + for cache in caches: + meta_data = json.loads(cache.meta_data) if cache.meta_data else {} + cache_file = Path(cache.cache_path) + file_size_mb = cache_file.stat().st_size / (1024 * 1024) if cache_file.exists() else 0 + + result.append({ + 'id': cache.id, + 'ref_audio_hash': cache.ref_audio_hash, + 'created_at': cache.created_at.isoformat(), + 'last_accessed': cache.last_accessed.isoformat(), + 'access_count': cache.access_count, + 'metadata': meta_data, + 'size_mb': round(file_size_mb, 2) + }) + + return { + 'caches': result, + 'total': len(result) + } + + +@router.delete("/voices/{cache_id}") +@limiter.limit("30/minute") +async def delete_user_cache( + request: Request, + cache_id: int, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + cache = db.query(VoiceCache).filter( + VoiceCache.id == cache_id, + VoiceCache.user_id == current_user.id + ).first() + + if not cache: + raise HTTPException(status_code=404, detail="Cache not found") + + cache_file = Path(cache.cache_path) + if cache_file.exists(): + cache_file.unlink() + + success = delete_cache_entry(db, cache_id, current_user.id) + + if not success: + raise HTTPException(status_code=500, detail="Failed to delete cache") + + logger.info(f"Cache deleted: id={cache_id}, user={current_user.id}") + + return { + 'message': 'Cache deleted successfully', + 'cache_id': cache_id + } + + +@router.delete("/voices") +@limiter.limit("10/minute") +async def cleanup_expired_caches( + request: Request, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + cache_manager = await VoiceCacheManager.get_instance() + deleted_count = await cache_manager.cleanup_expired(db) + + logger.info(f"Expired cache cleanup: user={current_user.id}, deleted={deleted_count}") + + return { + 'message': 'Expired caches cleaned up', + 'deleted_count': deleted_count + } + + +@router.post("/voices/prune") +@limiter.limit("10/minute") +async def prune_caches( + request: Request, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + cache_manager = await VoiceCacheManager.get_instance() + deleted_count = await cache_manager.enforce_max_entries(current_user.id, db) + + logger.info(f"LRU prune: user={current_user.id}, deleted={deleted_count}") + + return { + 'message': 'LRU pruning completed', + 'deleted_count': deleted_count + } + + +@router.get("/stats") +@limiter.limit("30/minute") +async def get_cache_stats( + request: Request, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + stats = cache_metrics.get_stats(db, settings.CACHE_DIR) + + user_stats = None + for user_stat in stats['users']: + if user_stat['user_id'] == current_user.id: + user_stats = user_stat + break + + if user_stats is None: + user_cache_count = db.query(VoiceCache).filter( + VoiceCache.user_id == current_user.id + ).count() + user_stats = { + 'user_id': current_user.id, + 'hits': 0, + 'misses': 0, + 'hit_rate': 0.0, + 'cache_entries': user_cache_count + } + + return { + 'global': stats['global'], + 'user': user_stats + } diff --git a/qwen3-tts-backend/api/jobs.py b/qwen3-tts-backend/api/jobs.py new file mode 100644 index 0000000..34319e3 --- /dev/null +++ b/qwen3-tts-backend/api/jobs.py @@ -0,0 +1,176 @@ +import logging +from pathlib import Path +from typing import Optional +from fastapi import APIRouter, Depends, HTTPException, Query, Request +from fastapi.responses import FileResponse +from sqlalchemy.orm import Session +from slowapi import Limiter +from slowapi.util import get_remote_address + +from core.database import get_db +from core.config import settings +from db.models import Job, JobStatus, User +from api.auth import get_current_user + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/jobs", tags=["jobs"]) + +limiter = Limiter(key_func=get_remote_address) + + +@router.get("/{job_id}") +@limiter.limit("30/minute") +async def get_job( + request: Request, + job_id: int, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + job = db.query(Job).filter(Job.id == job_id).first() + + if not job: + raise HTTPException(status_code=404, detail="Job not found") + + if job.user_id != current_user.id: + raise HTTPException(status_code=403, detail="Access denied") + + download_url = None + if job.status == JobStatus.COMPLETED and job.output_path: + output_file = Path(job.output_path) + if output_file.exists(): + download_url = f"{settings.BASE_URL}/jobs/{job.id}/download" + + return { + "id": job.id, + "job_type": job.job_type, + "status": job.status, + "input_params": job.input_params, + "output_path": job.output_path, + "download_url": download_url, + "error_message": job.error_message, + "created_at": job.created_at.isoformat() + 'Z' if job.created_at else None, + "started_at": job.started_at.isoformat() + 'Z' if job.started_at else None, + "completed_at": job.completed_at.isoformat() + 'Z' if job.completed_at else None + } + + +@router.get("") +@limiter.limit("30/minute") +async def list_jobs( + request: Request, + skip: int = Query(0, ge=0), + limit: int = Query(100, ge=1, le=100), + status: Optional[str] = Query(None), + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + query = db.query(Job).filter(Job.user_id == current_user.id) + + if status: + try: + status_enum = JobStatus(status) + query = query.filter(Job.status == status_enum) + except ValueError: + raise HTTPException(status_code=400, detail=f"Invalid status: {status}") + + total = query.count() + jobs = query.order_by(Job.created_at.desc()).offset(skip).limit(limit).all() + + jobs_data = [] + for job in jobs: + download_url = None + if job.status == JobStatus.COMPLETED and job.output_path: + output_file = Path(job.output_path) + if output_file.exists(): + download_url = f"{settings.BASE_URL}/jobs/{job.id}/download" + + jobs_data.append({ + "id": job.id, + "job_type": job.job_type, + "status": job.status, + "input_params": job.input_params, + "output_path": job.output_path, + "download_url": download_url, + "error_message": job.error_message, + "created_at": job.created_at.isoformat() + 'Z' if job.created_at else None, + "completed_at": job.completed_at.isoformat() + 'Z' if job.completed_at else None + }) + + return { + "total": total, + "skip": skip, + "limit": limit, + "jobs": jobs_data + } + + +@router.delete("/{job_id}") +@limiter.limit("30/minute") +async def delete_job( + request: Request, + job_id: int, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + job = db.query(Job).filter(Job.id == job_id).first() + + if not job: + raise HTTPException(status_code=404, detail="Job not found") + + if job.user_id != current_user.id: + raise HTTPException(status_code=403, detail="Access denied") + + if job.output_path: + output_file = Path(job.output_path) + if output_file.exists(): + try: + output_file.unlink() + logger.info(f"Deleted output file: {output_file}") + except Exception as e: + logger.error(f"Failed to delete output file {output_file}: {e}") + + db.delete(job) + db.commit() + + return {"message": "Job deleted successfully"} + + +@router.get("/{job_id}/download") +@limiter.limit("30/minute") +async def download_job_output( + request: Request, + job_id: int, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + job = db.query(Job).filter(Job.id == job_id).first() + + if not job: + raise HTTPException(status_code=404, detail="Job not found") + + if job.user_id != current_user.id: + raise HTTPException(status_code=403, detail="Access denied") + + if job.status != JobStatus.COMPLETED: + raise HTTPException(status_code=400, detail="Job not completed yet") + + if not job.output_path: + raise HTTPException(status_code=404, detail="Output file not found") + + output_file = Path(job.output_path) + if not output_file.exists(): + raise HTTPException(status_code=404, detail="Output file does not exist") + + output_dir = Path(settings.OUTPUT_DIR).resolve() + if not output_file.resolve().is_relative_to(output_dir): + logger.warning(f"Path traversal attempt detected: {output_file}") + raise HTTPException(status_code=403, detail="Access denied") + + return FileResponse( + path=str(output_file), + media_type="audio/wav", + filename=output_file.name, + headers={ + "Content-Disposition": f'attachment; filename="{output_file.name}"' + } + ) diff --git a/qwen3-tts-backend/api/metrics.py b/qwen3-tts-backend/api/metrics.py new file mode 100644 index 0000000..728f270 --- /dev/null +++ b/qwen3-tts-backend/api/metrics.py @@ -0,0 +1,21 @@ +import logging +from fastapi import APIRouter + +from core.metrics import MetricsCollector + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/metrics", tags=["metrics"]) + + +@router.get("") +async def get_metrics(): + metrics = await MetricsCollector.get_instance() + data = await metrics.get_metrics() + return data + + +@router.post("/reset") +async def reset_metrics(): + metrics = await MetricsCollector.get_instance() + await metrics.reset() + return {"message": "Metrics reset successfully"} diff --git a/qwen3-tts-backend/api/tts.py b/qwen3-tts-backend/api/tts.py new file mode 100644 index 0000000..004f84b --- /dev/null +++ b/qwen3-tts-backend/api/tts.py @@ -0,0 +1,553 @@ +import logging +import tempfile +from datetime import datetime +from pathlib import Path +from fastapi import APIRouter, Depends, HTTPException, BackgroundTasks, UploadFile, File, Form, Request +from sqlalchemy.orm import Session +from typing import Optional +from slowapi import Limiter +from slowapi.util import get_remote_address + +from core.config import settings +from core.database import get_db +from core.model_manager import ModelManager +from core.cache_manager import VoiceCacheManager +from db.models import Job, JobStatus, User +from schemas.tts import CustomVoiceRequest, VoiceDesignRequest +from api.auth import get_current_user +from utils.validation import ( + validate_language, + validate_speaker, + validate_text_length, + validate_generation_params, + get_supported_languages, + get_supported_speakers +) +from utils.audio import save_audio_file, validate_ref_audio, process_ref_audio, extract_audio_features +from utils.metrics import cache_metrics + +logger = logging.getLogger(__name__) +router = APIRouter(prefix="/tts", tags=["tts"]) + +limiter = Limiter(key_func=get_remote_address) + + +async def process_custom_voice_job( + job_id: int, + user_id: int, + request_data: dict, + db_url: str +): + from core.database import SessionLocal + + db = SessionLocal() + try: + job = db.query(Job).filter(Job.id == job_id).first() + if not job: + logger.error(f"Job {job_id} not found") + return + + job.status = JobStatus.PROCESSING + job.started_at = datetime.utcnow() + db.commit() + + logger.info(f"Processing custom-voice job {job_id}") + + model_manager = await ModelManager.get_instance() + await model_manager.load_model("custom-voice") + _, tts = await model_manager.get_current_model() + + if tts is None: + raise RuntimeError("Failed to load custom-voice model") + + result = tts.generate_custom_voice( + text=request_data['text'], + language=request_data['language'], + speaker=request_data['speaker'], + instruct=request_data.get('instruct', ''), + max_new_tokens=request_data['max_new_tokens'], + temperature=request_data['temperature'], + top_k=request_data['top_k'], + top_p=request_data['top_p'], + repetition_penalty=request_data['repetition_penalty'] + ) + + import numpy as np + if isinstance(result, tuple): + audio_data = result[0] + elif isinstance(result, list): + audio_data = np.array(result) + else: + audio_data = result + + from pathlib import Path + + timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S") + filename = f"{user_id}_{job_id}_{timestamp}.wav" + output_path = Path(settings.OUTPUT_DIR) / filename + + save_audio_file(audio_data, 24000, output_path) + + job.status = JobStatus.COMPLETED + job.output_path = str(output_path) + job.completed_at = datetime.utcnow() + db.commit() + + logger.info(f"Job {job_id} completed successfully") + + except Exception as e: + logger.error(f"Job {job_id} failed: {e}", exc_info=True) + job = db.query(Job).filter(Job.id == job_id).first() + if job: + job.status = JobStatus.FAILED + job.error_message = str(e) + job.completed_at = datetime.utcnow() + db.commit() + + finally: + db.close() + + +async def process_voice_design_job( + job_id: int, + user_id: int, + request_data: dict, + db_url: str +): + from core.database import SessionLocal + + db = SessionLocal() + try: + job = db.query(Job).filter(Job.id == job_id).first() + if not job: + logger.error(f"Job {job_id} not found") + return + + job.status = JobStatus.PROCESSING + job.started_at = datetime.utcnow() + db.commit() + + logger.info(f"Processing voice-design job {job_id}") + + model_manager = await ModelManager.get_instance() + await model_manager.load_model("voice-design") + _, tts = await model_manager.get_current_model() + + if tts is None: + raise RuntimeError("Failed to load voice-design model") + + result = tts.generate_voice_design( + text=request_data['text'], + language=request_data['language'], + instruct=request_data['instruct'], + max_new_tokens=request_data['max_new_tokens'], + temperature=request_data['temperature'], + top_k=request_data['top_k'], + top_p=request_data['top_p'], + repetition_penalty=request_data['repetition_penalty'] + ) + + import numpy as np + if isinstance(result, tuple): + audio_data = result[0] + elif isinstance(result, list): + audio_data = np.array(result) + else: + audio_data = result + + from pathlib import Path + + timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S") + filename = f"{user_id}_{job_id}_{timestamp}.wav" + output_path = Path(settings.OUTPUT_DIR) / filename + + save_audio_file(audio_data, 24000, output_path) + + job.status = JobStatus.COMPLETED + job.output_path = str(output_path) + job.completed_at = datetime.utcnow() + db.commit() + + logger.info(f"Job {job_id} completed successfully") + + except Exception as e: + logger.error(f"Job {job_id} failed: {e}", exc_info=True) + job = db.query(Job).filter(Job.id == job_id).first() + if job: + job.status = JobStatus.FAILED + job.error_message = str(e) + job.completed_at = datetime.utcnow() + db.commit() + + finally: + db.close() + + +async def process_voice_clone_job( + job_id: int, + user_id: int, + request_data: dict, + ref_audio_path: str, + db_url: str +): + from core.database import SessionLocal + import numpy as np + + db = SessionLocal() + try: + job = db.query(Job).filter(Job.id == job_id).first() + if not job: + logger.error(f"Job {job_id} not found") + return + + job.status = JobStatus.PROCESSING + job.started_at = datetime.utcnow() + db.commit() + + logger.info(f"Processing voice-clone job {job_id}") + + with open(ref_audio_path, 'rb') as f: + ref_audio_data = f.read() + + cache_manager = await VoiceCacheManager.get_instance() + ref_audio_hash = cache_manager.get_audio_hash(ref_audio_data) + + x_vector = None + cache_id = None + + if request_data.get('use_cache', True): + cached = await cache_manager.get_cache(user_id, ref_audio_hash, db) + if cached: + x_vector = cached['data'] + cache_id = cached['cache_id'] + cache_metrics.record_hit(user_id) + logger.info(f"Cache hit for job {job_id}, cache_id={cache_id}") + + if x_vector is None: + cache_metrics.record_miss(user_id) + logger.info(f"Cache miss for job {job_id}, creating voice clone prompt") + ref_audio_array, ref_sr = process_ref_audio(ref_audio_data) + + model_manager = await ModelManager.get_instance() + await model_manager.load_model("base") + _, tts = await model_manager.get_current_model() + + if tts is None: + raise RuntimeError("Failed to load base model") + + x_vector = tts.create_voice_clone_prompt( + ref_audio=(ref_audio_array, ref_sr), + ref_text=request_data.get('ref_text', ''), + x_vector_only_mode=request_data.get('x_vector_only_mode', False) + ) + + if request_data.get('use_cache', True): + features = extract_audio_features(ref_audio_array, ref_sr) + metadata = { + 'duration': features['duration'], + 'sample_rate': features['sample_rate'], + 'ref_text': request_data.get('ref_text', ''), + 'x_vector_only_mode': request_data.get('x_vector_only_mode', False) + } + cache_id = await cache_manager.set_cache( + user_id, ref_audio_hash, x_vector, metadata, db + ) + logger.info(f"Created cache for job {job_id}, cache_id={cache_id}") + + if request_data.get('x_vector_only_mode', False): + job.status = JobStatus.COMPLETED + job.output_path = f"x_vector_cached_{cache_id}" + job.completed_at = datetime.utcnow() + db.commit() + logger.info(f"Job {job_id} completed (x_vector_only_mode)") + return + + model_manager = await ModelManager.get_instance() + await model_manager.load_model("base") + _, tts = await model_manager.get_current_model() + + if tts is None: + raise RuntimeError("Failed to load base model") + + wavs, sample_rate = tts.generate_voice_clone( + text=request_data['text'], + language=request_data['language'], + voice_clone_prompt=x_vector, + max_new_tokens=request_data['max_new_tokens'], + temperature=request_data['temperature'], + top_k=request_data['top_k'], + top_p=request_data['top_p'], + repetition_penalty=request_data['repetition_penalty'] + ) + + audio_data = wavs[0] if isinstance(wavs, list) else wavs + + timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S") + filename = f"{user_id}_{job_id}_{timestamp}.wav" + output_path = Path(settings.OUTPUT_DIR) / filename + + save_audio_file(audio_data, sample_rate, output_path) + + job.status = JobStatus.COMPLETED + job.output_path = str(output_path) + job.completed_at = datetime.utcnow() + db.commit() + + logger.info(f"Job {job_id} completed successfully") + + except Exception as e: + logger.error(f"Job {job_id} failed: {e}", exc_info=True) + job = db.query(Job).filter(Job.id == job_id).first() + if job: + job.status = JobStatus.FAILED + job.error_message = str(e) + job.completed_at = datetime.utcnow() + db.commit() + + finally: + if Path(ref_audio_path).exists(): + Path(ref_audio_path).unlink() + db.close() + + +@router.post("/custom-voice") +@limiter.limit("10/minute") +async def create_custom_voice_job( + request: Request, + req_data: CustomVoiceRequest, + background_tasks: BackgroundTasks, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + try: + validate_text_length(req_data.text) + language = validate_language(req_data.language) + speaker = validate_speaker(req_data.speaker) + + params = validate_generation_params({ + 'max_new_tokens': req_data.max_new_tokens, + 'temperature': req_data.temperature, + 'top_k': req_data.top_k, + 'top_p': req_data.top_p, + 'repetition_penalty': req_data.repetition_penalty + }) + + except ValueError as e: + raise HTTPException(status_code=400, detail=str(e)) + + job = Job( + user_id=current_user.id, + job_type="custom-voice", + status=JobStatus.PENDING, + input_data="", + input_params={ + "text": req_data.text, + "language": language, + "speaker": speaker, + "instruct": req_data.instruct or "", + **params + } + ) + db.add(job) + db.commit() + db.refresh(job) + + request_data = { + "text": req_data.text, + "language": language, + "speaker": speaker, + "instruct": req_data.instruct or "", + **params + } + + background_tasks.add_task( + process_custom_voice_job, + job.id, + current_user.id, + request_data, + str(settings.DATABASE_URL) + ) + + return { + "job_id": job.id, + "status": job.status, + "message": "Job created successfully" + } + + +@router.post("/voice-design") +@limiter.limit("10/minute") +async def create_voice_design_job( + request: Request, + req_data: VoiceDesignRequest, + background_tasks: BackgroundTasks, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + try: + validate_text_length(req_data.text) + language = validate_language(req_data.language) + + if not req_data.instruct or not req_data.instruct.strip(): + raise ValueError("Instruct parameter is required for voice design") + + params = validate_generation_params({ + 'max_new_tokens': req_data.max_new_tokens, + 'temperature': req_data.temperature, + 'top_k': req_data.top_k, + 'top_p': req_data.top_p, + 'repetition_penalty': req_data.repetition_penalty + }) + + except ValueError as e: + raise HTTPException(status_code=400, detail=str(e)) + + job = Job( + user_id=current_user.id, + job_type="voice-design", + status=JobStatus.PENDING, + input_data="", + input_params={ + "text": req_data.text, + "language": language, + "instruct": req_data.instruct, + **params + } + ) + db.add(job) + db.commit() + db.refresh(job) + + request_data = { + "text": req_data.text, + "language": language, + "instruct": req_data.instruct, + **params + } + + background_tasks.add_task( + process_voice_design_job, + job.id, + current_user.id, + request_data, + str(settings.DATABASE_URL) + ) + + return { + "job_id": job.id, + "status": job.status, + "message": "Job created successfully" + } + + +@router.post("/voice-clone") +@limiter.limit("10/minute") +async def create_voice_clone_job( + request: Request, + text: str = Form(...), + language: str = Form(default="Auto"), + ref_audio: UploadFile = File(...), + ref_text: Optional[str] = Form(default=None), + use_cache: bool = Form(default=True), + x_vector_only_mode: bool = Form(default=False), + max_new_tokens: Optional[int] = Form(default=2048), + temperature: Optional[float] = Form(default=0.9), + top_k: Optional[int] = Form(default=50), + top_p: Optional[float] = Form(default=1.0), + repetition_penalty: Optional[float] = Form(default=1.05), + background_tasks: BackgroundTasks = None, + current_user: User = Depends(get_current_user), + db: Session = Depends(get_db) +): + try: + validate_text_length(text) + language = validate_language(language) + + params = validate_generation_params({ + 'max_new_tokens': max_new_tokens, + 'temperature': temperature, + 'top_k': top_k, + 'top_p': top_p, + 'repetition_penalty': repetition_penalty + }) + + ref_audio_data = await ref_audio.read() + + if not validate_ref_audio(ref_audio_data, max_size_mb=settings.MAX_AUDIO_SIZE_MB): + raise ValueError("Invalid reference audio: must be 1-30s duration and ≤10MB") + + cache_manager = await VoiceCacheManager.get_instance() + ref_audio_hash = cache_manager.get_audio_hash(ref_audio_data) + + except ValueError as e: + raise HTTPException(status_code=400, detail=str(e)) + + job = Job( + user_id=current_user.id, + job_type="voice-clone", + status=JobStatus.PENDING, + input_data="", + input_params={ + "text": text, + "language": language, + "ref_text": ref_text or "", + "ref_audio_hash": ref_audio_hash, + "use_cache": use_cache, + "x_vector_only_mode": x_vector_only_mode, + **params + } + ) + db.add(job) + db.commit() + db.refresh(job) + + with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file: + tmp_file.write(ref_audio_data) + tmp_audio_path = tmp_file.name + + request_data = { + "text": text, + "language": language, + "ref_text": ref_text or "", + "use_cache": use_cache, + "x_vector_only_mode": x_vector_only_mode, + **params + } + + background_tasks.add_task( + process_voice_clone_job, + job.id, + current_user.id, + request_data, + tmp_audio_path, + str(settings.DATABASE_URL) + ) + + existing_cache = await cache_manager.get_cache(current_user.id, ref_audio_hash, db) + cache_info = {"cache_id": existing_cache['cache_id']} if existing_cache else None + + return { + "job_id": job.id, + "status": job.status, + "message": "Job created successfully", + "cache_info": cache_info + } + + +@router.get("/models") +@limiter.limit("30/minute") +async def list_models(request: Request): + model_manager = await ModelManager.get_instance() + return model_manager.get_model_info() + + +@router.get("/speakers") +@limiter.limit("30/minute") +async def list_speakers(request: Request): + return get_supported_speakers() + + +@router.get("/languages") +@limiter.limit("30/minute") +async def list_languages(request: Request): + return get_supported_languages() diff --git a/qwen3-tts-backend/api/users.py b/qwen3-tts-backend/api/users.py new file mode 100644 index 0000000..2a5e074 --- /dev/null +++ b/qwen3-tts-backend/api/users.py @@ -0,0 +1,169 @@ +from typing import Annotated +from fastapi import APIRouter, Depends, HTTPException, status, Request +from sqlalchemy.orm import Session +from slowapi import Limiter +from slowapi.util import get_remote_address + +from api.auth import get_current_user +from config import settings +from core.security import get_password_hash +from db.database import get_db +from db.crud import ( + get_user_by_id, + get_user_by_username, + get_user_by_email, + list_users, + create_user_by_admin, + update_user, + delete_user +) +from schemas.user import User, UserCreateByAdmin, UserUpdate, UserListResponse + +router = APIRouter(prefix="/users", tags=["users"]) +limiter = Limiter(key_func=get_remote_address) + +async def require_superuser( + current_user: Annotated[User, Depends(get_current_user)] +) -> User: + if not current_user.is_superuser: + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Superuser access required" + ) + return current_user + +@router.get("", response_model=UserListResponse) +@limiter.limit("30/minute") +async def get_users( + request: Request, + skip: int = 0, + limit: int = 100, + db: Session = Depends(get_db), + _: User = Depends(require_superuser) +): + users, total = list_users(db, skip=skip, limit=limit) + return UserListResponse(users=users, total=total, skip=skip, limit=limit) + +@router.post("", response_model=User, status_code=status.HTTP_201_CREATED) +@limiter.limit("10/minute") +async def create_user( + request: Request, + user_data: UserCreateByAdmin, + db: Session = Depends(get_db), + _: User = Depends(require_superuser) +): + existing_user = get_user_by_username(db, username=user_data.username) + if existing_user: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Username already registered" + ) + + existing_email = get_user_by_email(db, email=user_data.email) + if existing_email: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Email already registered" + ) + + hashed_password = get_password_hash(user_data.password) + user = create_user_by_admin( + db, + username=user_data.username, + email=user_data.email, + hashed_password=hashed_password, + is_superuser=user_data.is_superuser + ) + + return user + +@router.get("/{user_id}", response_model=User) +@limiter.limit("30/minute") +async def get_user( + request: Request, + user_id: int, + db: Session = Depends(get_db), + _: User = Depends(require_superuser) +): + user = get_user_by_id(db, user_id=user_id) + if not user: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="User not found" + ) + return user + +@router.put("/{user_id}", response_model=User) +@limiter.limit("10/minute") +async def update_user_info( + request: Request, + user_id: int, + user_data: UserUpdate, + db: Session = Depends(get_db), + current_user: User = Depends(require_superuser) +): + existing_user = get_user_by_id(db, user_id=user_id) + if not existing_user: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="User not found" + ) + + if user_data.username is not None: + username_exists = get_user_by_username(db, username=user_data.username) + if username_exists and username_exists.id != user_id: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Username already taken" + ) + + if user_data.email is not None: + email_exists = get_user_by_email(db, email=user_data.email) + if email_exists and email_exists.id != user_id: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Email already taken" + ) + + hashed_password = None + if user_data.password is not None: + hashed_password = get_password_hash(user_data.password) + + user = update_user( + db, + user_id=user_id, + username=user_data.username, + email=user_data.email, + hashed_password=hashed_password, + is_active=user_data.is_active, + is_superuser=user_data.is_superuser + ) + + if not user: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="User not found" + ) + + return user + +@router.delete("/{user_id}", status_code=status.HTTP_204_NO_CONTENT) +@limiter.limit("10/minute") +async def delete_user_by_id( + request: Request, + user_id: int, + db: Session = Depends(get_db), + current_user: User = Depends(require_superuser) +): + if user_id == current_user.id: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="Cannot delete yourself" + ) + + success = delete_user(db, user_id=user_id) + if not success: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail="User not found" + ) diff --git a/qwen3-tts-backend/config.py b/qwen3-tts-backend/config.py new file mode 100644 index 0000000..24c2572 --- /dev/null +++ b/qwen3-tts-backend/config.py @@ -0,0 +1,66 @@ +import os +from pathlib import Path +from typing import Optional +from pydantic_settings import BaseSettings +from pydantic import Field, field_validator + +class Settings(BaseSettings): + SECRET_KEY: str = Field(default="your-secret-key-change-this-in-production") + ALGORITHM: str = Field(default="HS256") + ACCESS_TOKEN_EXPIRE_MINUTES: int = Field(default=30) + + DATABASE_URL: str = Field(default="sqlite:///./qwen_tts.db") + CACHE_DIR: str = Field(default="./voice_cache") + OUTPUT_DIR: str = Field(default="./outputs") + BASE_URL: str = Field(default="http://localhost:8000") + + MODEL_DEVICE: str = Field(default="cuda:0") + MODEL_BASE_PATH: str = Field(default="../Qwen") + + MAX_CACHE_ENTRIES: int = Field(default=100) + CACHE_TTL_DAYS: int = Field(default=7) + + HOST: str = Field(default="0.0.0.0") + PORT: int = Field(default=8000) + WORKERS: int = Field(default=1) + LOG_LEVEL: str = Field(default="info") + LOG_FILE: str = Field(default="./app.log") + + RATE_LIMIT_PER_MINUTE: int = Field(default=50) + RATE_LIMIT_PER_HOUR: int = Field(default=1000) + + MAX_QUEUE_SIZE: int = Field(default=100) + BATCH_SIZE: int = Field(default=4) + BATCH_WAIT_TIME: float = Field(default=0.5) + + MAX_TEXT_LENGTH: int = Field(default=1000) + MAX_AUDIO_SIZE_MB: int = Field(default=10) + + class Config: + env_file = ".env" + case_sensitive = True + + @field_validator('MODEL_BASE_PATH') + @classmethod + def validate_model_path(cls, v: str) -> str: + path = Path(v) + if not path.exists(): + raise ValueError(f"Model base path does not exist: {v}") + return v + + def validate(self): + if self.SECRET_KEY == "your-secret-key-change-this-in-production": + import warnings + warnings.warn("Using default SECRET_KEY! Change this in production!") + + Path(self.CACHE_DIR).mkdir(parents=True, exist_ok=True) + Path(self.OUTPUT_DIR).mkdir(parents=True, exist_ok=True) + + if self.WORKERS > 1: + import warnings + warnings.warn("WORKERS > 1 not recommended for GPU models. Setting to 1.") + self.WORKERS = 1 + + return True + +settings = Settings() diff --git a/qwen3-tts-backend/core/__init__.py b/qwen3-tts-backend/core/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/qwen3-tts-backend/core/batch_processor.py b/qwen3-tts-backend/core/batch_processor.py new file mode 100644 index 0000000..8465b91 --- /dev/null +++ b/qwen3-tts-backend/core/batch_processor.py @@ -0,0 +1,141 @@ +import asyncio +import logging +import time +from typing import Any, Callable, Dict, List, Optional, Tuple +from dataclasses import dataclass +from collections import deque + +from core.config import settings + +logger = logging.getLogger(__name__) + + +@dataclass +class BatchRequest: + request_id: str + data: Dict[str, Any] + future: asyncio.Future + timestamp: float + + +class BatchProcessor: + _instance: Optional['BatchProcessor'] = None + _lock = asyncio.Lock() + + def __init__(self, batch_size: int = None, batch_wait_time: float = None): + self.batch_size = batch_size or settings.BATCH_SIZE + self.batch_wait_time = batch_wait_time or settings.BATCH_WAIT_TIME + self.queue: deque = deque() + self.queue_lock = asyncio.Lock() + self.processing = False + self._processor_task: Optional[asyncio.Task] = None + logger.info(f"BatchProcessor initialized with batch_size={self.batch_size}, wait_time={self.batch_wait_time}s") + + @classmethod + async def get_instance(cls) -> 'BatchProcessor': + if cls._instance is None: + async with cls._lock: + if cls._instance is None: + cls._instance = cls() + cls._instance._start_processor() + return cls._instance + + def _start_processor(self): + if not self._processor_task or self._processor_task.done(): + self._processor_task = asyncio.create_task(self._process_batches()) + logger.info("Batch processor task started") + + async def _process_batches(self): + logger.info("Batch processing loop started") + while True: + try: + await asyncio.sleep(0.1) + + async with self.queue_lock: + if not self.queue: + continue + + current_time = time.time() + oldest_request = self.queue[0] + wait_duration = current_time - oldest_request.timestamp + + should_process = ( + len(self.queue) >= self.batch_size or + wait_duration >= self.batch_wait_time + ) + + if should_process: + batch = [] + for _ in range(min(self.batch_size, len(self.queue))): + if self.queue: + batch.append(self.queue.popleft()) + + if batch: + logger.info(f"Processing batch of {len(batch)} requests (queue_wait={wait_duration:.3f}s)") + asyncio.create_task(self._process_batch(batch)) + + except Exception as e: + logger.error(f"Error in batch processor loop: {e}", exc_info=True) + await asyncio.sleep(1) + + async def _process_batch(self, batch: List[BatchRequest]): + for request in batch: + try: + if not request.future.done(): + result = await self._execute_single_request(request.data) + request.future.set_result(result) + except Exception as e: + logger.error(f"Error processing request {request.request_id}: {e}", exc_info=True) + if not request.future.done(): + request.future.set_exception(e) + + async def _execute_single_request(self, data: Dict[str, Any]) -> Any: + raise NotImplementedError("Subclass must implement _execute_single_request") + + async def submit(self, request_id: str, data: Dict[str, Any], timeout: float = 300) -> Any: + future = asyncio.Future() + request = BatchRequest( + request_id=request_id, + data=data, + future=future, + timestamp=time.time() + ) + + async with self.queue_lock: + self.queue.append(request) + queue_size = len(self.queue) + + logger.debug(f"Request {request_id} queued (queue_size={queue_size})") + + try: + result = await asyncio.wait_for(future, timeout=timeout) + return result + except asyncio.TimeoutError: + logger.error(f"Request {request_id} timed out after {timeout}s") + async with self.queue_lock: + if request in self.queue: + self.queue.remove(request) + raise TimeoutError(f"Request timed out after {timeout}s") + + async def get_queue_length(self) -> int: + async with self.queue_lock: + return len(self.queue) + + async def get_stats(self) -> Dict[str, Any]: + queue_length = await self.get_queue_length() + return { + "queue_length": queue_length, + "batch_size": self.batch_size, + "batch_wait_time": self.batch_wait_time, + "processor_running": self._processor_task is not None and not self._processor_task.done() + } + + +class TTSBatchProcessor(BatchProcessor): + + def __init__(self, process_func: Callable, batch_size: int = None, batch_wait_time: float = None): + super().__init__(batch_size, batch_wait_time) + self.process_func = process_func + + async def _execute_single_request(self, data: Dict[str, Any]) -> Any: + return await self.process_func(**data) diff --git a/qwen3-tts-backend/core/cache_manager.py b/qwen3-tts-backend/core/cache_manager.py new file mode 100644 index 0000000..f9f6a01 --- /dev/null +++ b/qwen3-tts-backend/core/cache_manager.py @@ -0,0 +1,161 @@ +import hashlib +import pickle +import asyncio +from pathlib import Path +from typing import Optional, Dict, Any +from datetime import datetime, timedelta +import logging + +from sqlalchemy.orm import Session +from db.crud import ( + create_cache_entry, + get_cache_entry, + list_cache_entries, + delete_cache_entry +) +from db.models import VoiceCache +from core.config import settings + +logger = logging.getLogger(__name__) + + +class VoiceCacheManager: + _instance = None + _lock = asyncio.Lock() + + def __init__(self, cache_dir: str, max_entries: int, ttl_days: int): + self.cache_dir = Path(cache_dir) + self.max_entries = max_entries + self.ttl_days = ttl_days + self.cache_dir.mkdir(parents=True, exist_ok=True) + logger.info(f"VoiceCacheManager initialized: dir={cache_dir}, max={max_entries}, ttl={ttl_days}d") + + @classmethod + async def get_instance(cls) -> 'VoiceCacheManager': + if cls._instance is None: + async with cls._lock: + if cls._instance is None: + cls._instance = VoiceCacheManager( + cache_dir=settings.CACHE_DIR, + max_entries=settings.MAX_CACHE_ENTRIES, + ttl_days=settings.CACHE_TTL_DAYS + ) + return cls._instance + + def get_audio_hash(self, audio_data: bytes) -> str: + return hashlib.sha256(audio_data).hexdigest() + + async def get_cache(self, user_id: int, ref_audio_hash: str, db: Session) -> Optional[Dict[str, Any]]: + try: + cache_entry = get_cache_entry(db, user_id, ref_audio_hash) + if not cache_entry: + logger.debug(f"Cache miss: user={user_id}, hash={ref_audio_hash[:8]}...") + return None + + cache_file = Path(cache_entry.cache_path) + if not cache_file.exists(): + logger.warning(f"Cache file missing: {cache_file}") + delete_cache_entry(db, cache_entry.id, user_id) + return None + + with open(cache_file, 'rb') as f: + cache_data = pickle.load(f) + + logger.info(f"Cache hit: user={user_id}, hash={ref_audio_hash[:8]}..., access_count={cache_entry.access_count}") + return { + 'cache_id': cache_entry.id, + 'data': cache_data, + 'metadata': cache_entry.meta_data + } + + except Exception as e: + logger.error(f"Cache retrieval error: {e}", exc_info=True) + return None + + async def set_cache( + self, + user_id: int, + ref_audio_hash: str, + cache_data: Any, + metadata: Dict[str, Any], + db: Session + ) -> str: + async with self._lock: + try: + cache_filename = f"{user_id}_{ref_audio_hash}.pkl" + cache_path = self.cache_dir / cache_filename + + with open(cache_path, 'wb') as f: + pickle.dump(cache_data, f) + + cache_entry = create_cache_entry( + db=db, + user_id=user_id, + ref_audio_hash=ref_audio_hash, + cache_path=str(cache_path), + meta_data=metadata + ) + + await self.enforce_max_entries(user_id, db) + + logger.info(f"Cache created: user={user_id}, hash={ref_audio_hash[:8]}..., id={cache_entry.id}") + return cache_entry.id + + except Exception as e: + logger.error(f"Cache creation error: {e}", exc_info=True) + if cache_path.exists(): + cache_path.unlink() + raise + + async def enforce_max_entries(self, user_id: int, db: Session) -> int: + try: + all_caches = list_cache_entries(db, user_id, skip=0, limit=9999) + if len(all_caches) <= self.max_entries: + return 0 + + caches_to_delete = all_caches[self.max_entries:] + deleted_count = 0 + + for cache in caches_to_delete: + cache_file = Path(cache.cache_path) + if cache_file.exists(): + cache_file.unlink() + + delete_cache_entry(db, cache.id, user_id) + deleted_count += 1 + + if deleted_count > 0: + logger.info(f"LRU eviction: user={user_id}, deleted={deleted_count} entries") + + return deleted_count + + except Exception as e: + logger.error(f"LRU enforcement error: {e}", exc_info=True) + return 0 + + async def cleanup_expired(self, db: Session) -> int: + try: + cutoff_date = datetime.utcnow() - timedelta(days=self.ttl_days) + expired_caches = db.query(VoiceCache).filter( + VoiceCache.last_accessed < cutoff_date + ).all() + + deleted_count = 0 + for cache in expired_caches: + cache_file = Path(cache.cache_path) + if cache_file.exists(): + cache_file.unlink() + + db.delete(cache) + deleted_count += 1 + + if deleted_count > 0: + db.commit() + logger.info(f"Expired cache cleanup: deleted={deleted_count} entries") + + return deleted_count + + except Exception as e: + logger.error(f"Expired cache cleanup error: {e}", exc_info=True) + db.rollback() + return 0 diff --git a/qwen3-tts-backend/core/cleanup.py b/qwen3-tts-backend/core/cleanup.py new file mode 100644 index 0000000..8c917fc --- /dev/null +++ b/qwen3-tts-backend/core/cleanup.py @@ -0,0 +1,166 @@ +import logging +from datetime import datetime, timedelta +from pathlib import Path +from sqlalchemy import create_engine +from sqlalchemy.orm import sessionmaker + +from core.config import settings +from core.cache_manager import VoiceCacheManager +from db.models import Job + +logger = logging.getLogger(__name__) + + +async def cleanup_expired_caches(db_url: str) -> dict: + try: + engine = create_engine(db_url) + SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + db = SessionLocal() + + cache_manager = await VoiceCacheManager.get_instance() + deleted_count = await cache_manager.cleanup_expired(db) + + freed_space_mb = 0 + + db.close() + + logger.info(f"Cleanup: deleted {deleted_count} expired caches") + + return { + 'deleted_count': deleted_count, + 'freed_space_mb': freed_space_mb + } + + except Exception as e: + logger.error(f"Expired cache cleanup failed: {e}", exc_info=True) + return { + 'deleted_count': 0, + 'freed_space_mb': 0, + 'error': str(e) + } + + +async def cleanup_old_jobs(db_url: str, days: int = 7) -> dict: + try: + engine = create_engine(db_url) + SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + db = SessionLocal() + + cutoff_date = datetime.utcnow() - timedelta(days=days) + + old_jobs = db.query(Job).filter( + Job.completed_at < cutoff_date, + Job.status.in_(['completed', 'failed']) + ).all() + + deleted_files = 0 + for job in old_jobs: + if job.output_path: + output_file = Path(job.output_path) + if output_file.exists(): + output_file.unlink() + deleted_files += 1 + + db.delete(job) + + db.commit() + deleted_jobs = len(old_jobs) + + db.close() + + logger.info(f"Cleanup: deleted {deleted_jobs} old jobs, {deleted_files} files") + + return { + 'deleted_jobs': deleted_jobs, + 'deleted_files': deleted_files + } + + except Exception as e: + logger.error(f"Old job cleanup failed: {e}", exc_info=True) + return { + 'deleted_jobs': 0, + 'deleted_files': 0, + 'error': str(e) + } + + +async def cleanup_orphaned_files(db_url: str) -> dict: + try: + engine = create_engine(db_url) + SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + db = SessionLocal() + + output_dir = Path(settings.OUTPUT_DIR) + cache_dir = Path(settings.CACHE_DIR) + + output_files_in_db = {Path(job.output_path).name for job in db.query(Job.output_path).filter(Job.output_path.isnot(None)).all()} + + from db.models import VoiceCache + cache_files_in_db = {Path(cache.cache_path).name for cache in db.query(VoiceCache.cache_path).all()} + + deleted_orphans = 0 + freed_space_bytes = 0 + + if output_dir.exists(): + for output_file in output_dir.glob("*.wav"): + if output_file.name not in output_files_in_db: + size = output_file.stat().st_size + output_file.unlink() + deleted_orphans += 1 + freed_space_bytes += size + + if cache_dir.exists(): + for cache_file in cache_dir.glob("*.pkl"): + if cache_file.name not in cache_files_in_db: + size = cache_file.stat().st_size + cache_file.unlink() + deleted_orphans += 1 + freed_space_bytes += size + + freed_space_mb = freed_space_bytes / (1024 * 1024) + + db.close() + + logger.info(f"Cleanup: deleted {deleted_orphans} orphaned files, freed {freed_space_mb:.2f} MB") + + return { + 'deleted_orphans': deleted_orphans, + 'freed_space_mb': freed_space_mb + } + + except Exception as e: + logger.error(f"Orphaned file cleanup failed: {e}", exc_info=True) + return { + 'deleted_orphans': 0, + 'freed_space_mb': 0, + 'error': str(e) + } + + +async def run_scheduled_cleanup(db_url: str) -> dict: + logger.info("Starting scheduled cleanup task...") + + try: + cache_result = await cleanup_expired_caches(db_url) + job_result = await cleanup_old_jobs(db_url) + orphan_result = await cleanup_orphaned_files(db_url) + + result = { + 'timestamp': datetime.utcnow().isoformat(), + 'expired_caches': cache_result, + 'old_jobs': job_result, + 'orphaned_files': orphan_result, + 'status': 'completed' + } + + logger.info(f"Scheduled cleanup completed: {result}") + + return result + + except Exception as e: + logger.error(f"Scheduled cleanup failed: {e}", exc_info=True) + return { + 'timestamp': datetime.utcnow().isoformat(), + 'status': 'failed', + 'error': str(e) + } diff --git a/qwen3-tts-backend/core/config.py b/qwen3-tts-backend/core/config.py new file mode 100644 index 0000000..d7e8dcb --- /dev/null +++ b/qwen3-tts-backend/core/config.py @@ -0,0 +1,3 @@ +from config import settings, Settings + +__all__ = ['settings', 'Settings'] diff --git a/qwen3-tts-backend/core/database.py b/qwen3-tts-backend/core/database.py new file mode 100644 index 0000000..6dcaf2e --- /dev/null +++ b/qwen3-tts-backend/core/database.py @@ -0,0 +1,3 @@ +from db.database import Base, engine, SessionLocal, get_db, init_db + +__all__ = ['Base', 'engine', 'SessionLocal', 'get_db', 'init_db'] diff --git a/qwen3-tts-backend/core/metrics.py b/qwen3-tts-backend/core/metrics.py new file mode 100644 index 0000000..497e4ce --- /dev/null +++ b/qwen3-tts-backend/core/metrics.py @@ -0,0 +1,156 @@ +import time +import logging +from collections import deque, defaultdict +from typing import Dict, List, Optional, Any +from dataclasses import dataclass, field +import asyncio +import statistics + +logger = logging.getLogger(__name__) + + +@dataclass +class RequestMetric: + timestamp: float + endpoint: str + duration: float + status_code: int + queue_time: float = 0.0 + + +class MetricsCollector: + _instance: Optional['MetricsCollector'] = None + _lock = asyncio.Lock() + + def __init__(self, window_size: int = 1000): + self.window_size = window_size + self.requests: deque = deque(maxlen=window_size) + self.request_counts: Dict[str, int] = defaultdict(int) + self.error_counts: Dict[str, int] = defaultdict(int) + self.total_requests = 0 + self.start_time = time.time() + self.batch_stats = { + 'total_batches': 0, + 'total_requests_batched': 0, + 'avg_batch_size': 0.0 + } + self._lock_local = asyncio.Lock() + logger.info("MetricsCollector initialized") + + @classmethod + async def get_instance(cls) -> 'MetricsCollector': + if cls._instance is None: + async with cls._lock: + if cls._instance is None: + cls._instance = cls() + return cls._instance + + async def record_request( + self, + endpoint: str, + duration: float, + status_code: int, + queue_time: float = 0.0 + ): + async with self._lock_local: + metric = RequestMetric( + timestamp=time.time(), + endpoint=endpoint, + duration=duration, + status_code=status_code, + queue_time=queue_time + ) + self.requests.append(metric) + self.request_counts[endpoint] += 1 + self.total_requests += 1 + + if status_code >= 400: + self.error_counts[endpoint] += 1 + + async def record_batch(self, batch_size: int): + async with self._lock_local: + self.batch_stats['total_batches'] += 1 + self.batch_stats['total_requests_batched'] += batch_size + + total_batches = self.batch_stats['total_batches'] + total_requests = self.batch_stats['total_requests_batched'] + self.batch_stats['avg_batch_size'] = total_requests / total_batches if total_batches > 0 else 0.0 + + async def get_metrics(self) -> Dict[str, Any]: + async with self._lock_local: + current_time = time.time() + uptime = current_time - self.start_time + + recent_requests = [r for r in self.requests if current_time - r.timestamp < 60] + + durations = [r.duration for r in self.requests if r.duration > 0] + queue_times = [r.queue_time for r in self.requests if r.queue_time > 0] + + percentiles = {} + if durations: + sorted_durations = sorted(durations) + percentiles = { + 'p50': statistics.median(sorted_durations), + 'p95': sorted_durations[int(len(sorted_durations) * 0.95)] if len(sorted_durations) > 0 else 0, + 'p99': sorted_durations[int(len(sorted_durations) * 0.99)] if len(sorted_durations) > 0 else 0, + 'avg': statistics.mean(sorted_durations), + 'min': min(sorted_durations), + 'max': max(sorted_durations) + } + + queue_percentiles = {} + if queue_times: + sorted_queue_times = sorted(queue_times) + queue_percentiles = { + 'p50': statistics.median(sorted_queue_times), + 'p95': sorted_queue_times[int(len(sorted_queue_times) * 0.95)] if len(sorted_queue_times) > 0 else 0, + 'p99': sorted_queue_times[int(len(sorted_queue_times) * 0.99)] if len(sorted_queue_times) > 0 else 0, + 'avg': statistics.mean(sorted_queue_times) + } + + requests_per_second = len(recent_requests) / 60.0 if recent_requests else 0.0 + + import torch + gpu_stats = {} + if torch.cuda.is_available(): + gpu_stats = { + 'gpu_available': True, + 'gpu_memory_allocated_mb': torch.cuda.memory_allocated(0) / 1024**2, + 'gpu_memory_reserved_mb': torch.cuda.memory_reserved(0) / 1024**2, + 'gpu_memory_total_mb': torch.cuda.get_device_properties(0).total_memory / 1024**2 + } + else: + gpu_stats = {'gpu_available': False} + + from core.batch_processor import BatchProcessor + batch_processor = await BatchProcessor.get_instance() + batch_stats_current = await batch_processor.get_stats() + + return { + 'uptime_seconds': uptime, + 'total_requests': self.total_requests, + 'requests_per_second': requests_per_second, + 'request_counts_by_endpoint': dict(self.request_counts), + 'error_counts_by_endpoint': dict(self.error_counts), + 'latency': percentiles, + 'queue_time': queue_percentiles, + 'batch_processing': { + **self.batch_stats, + **batch_stats_current + }, + 'gpu': gpu_stats + } + + async def reset(self): + async with self._lock_local: + self.requests.clear() + self.request_counts.clear() + self.error_counts.clear() + self.total_requests = 0 + self.start_time = time.time() + self.batch_stats = { + 'total_batches': 0, + 'total_requests_batched': 0, + 'avg_batch_size': 0.0 + } + logger.info("Metrics reset") diff --git a/qwen3-tts-backend/core/model_manager.py b/qwen3-tts-backend/core/model_manager.py new file mode 100644 index 0000000..a0f524f --- /dev/null +++ b/qwen3-tts-backend/core/model_manager.py @@ -0,0 +1,123 @@ +import asyncio +import logging +from typing import Optional +import torch +from qwen_tts import Qwen3TTSModel +from core.config import settings + +logger = logging.getLogger(__name__) + + +class ModelManager: + _instance: Optional['ModelManager'] = None + _lock = asyncio.Lock() + + MODEL_PATHS = { + "custom-voice": "Qwen3-TTS-12Hz-1.7B-CustomVoice", + "voice-design": "Qwen3-TTS-12Hz-1.7B-VoiceDesign", + "base": "Qwen3-TTS-12Hz-1.7B-Base" + } + + def __init__(self): + if ModelManager._instance is not None: + raise RuntimeError("Use get_instance() to get ModelManager") + self.current_model_name: Optional[str] = None + self.tts: Optional[Qwen3TTSModel] = None + + @classmethod + async def get_instance(cls) -> 'ModelManager': + if cls._instance is None: + async with cls._lock: + if cls._instance is None: + cls._instance = cls() + return cls._instance + + async def load_model(self, model_name: str) -> None: + if model_name not in self.MODEL_PATHS: + raise ValueError( + f"Unknown model: {model_name}. " + f"Available models: {list(self.MODEL_PATHS.keys())}" + ) + + if self.current_model_name == model_name and self.tts is not None: + logger.info(f"Model {model_name} already loaded") + return + + async with self._lock: + logger.info(f"Loading model: {model_name}") + + if self.tts is not None: + logger.info(f"Unloading current model: {self.current_model_name}") + await self._unload_model_internal() + + from pathlib import Path + model_base_path = Path(settings.MODEL_BASE_PATH) + local_model_path = model_base_path / self.MODEL_PATHS[model_name] + + if local_model_path.exists(): + model_path = str(local_model_path) + logger.info(f"Using local model: {model_path}") + else: + model_path = f"Qwen/{self.MODEL_PATHS[model_name]}" + logger.info(f"Local path not found, using HuggingFace: {model_path}") + + try: + self.tts = Qwen3TTSModel.from_pretrained( + str(model_path), + device_map=settings.MODEL_DEVICE, + torch_dtype=torch.bfloat16 + ) + self.current_model_name = model_name + logger.info(f"Successfully loaded model: {model_name}") + + if torch.cuda.is_available(): + allocated = torch.cuda.memory_allocated(0) / 1024**3 + logger.info(f"GPU memory allocated: {allocated:.2f} GB") + + except Exception as e: + logger.error(f"Failed to load model {model_name}: {e}") + self.tts = None + self.current_model_name = None + raise + + async def get_current_model(self) -> tuple[Optional[str], Optional[Qwen3TTSModel]]: + return self.current_model_name, self.tts + + async def unload_model(self) -> None: + async with self._lock: + await self._unload_model_internal() + + async def _unload_model_internal(self) -> None: + if self.tts is not None: + logger.info(f"Unloading model: {self.current_model_name}") + del self.tts + self.tts = None + self.current_model_name = None + + if torch.cuda.is_available(): + torch.cuda.empty_cache() + logger.info("Cleared CUDA cache") + + async def get_memory_usage(self) -> dict: + memory_info = { + "gpu_available": torch.cuda.is_available(), + "current_model": self.current_model_name + } + + if torch.cuda.is_available(): + memory_info.update({ + "allocated_gb": torch.cuda.memory_allocated(0) / 1024**3, + "reserved_gb": torch.cuda.memory_reserved(0) / 1024**3, + "total_gb": torch.cuda.get_device_properties(0).total_memory / 1024**3 + }) + + return memory_info + + def get_model_info(self) -> dict: + return { + name: { + "path": path, + "loaded": name == self.current_model_name + } + for name, path in self.MODEL_PATHS.items() + } diff --git a/qwen3-tts-backend/core/security.py b/qwen3-tts-backend/core/security.py new file mode 100644 index 0000000..610018b --- /dev/null +++ b/qwen3-tts-backend/core/security.py @@ -0,0 +1,35 @@ +from datetime import datetime, timedelta +from typing import Optional +from jose import JWTError, jwt +from passlib.context import CryptContext + +from config import settings + +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + +def get_password_hash(password: str) -> str: + return pwd_context.hash(password) + +def verify_password(plain_password: str, hashed_password: str) -> bool: + return pwd_context.verify(plain_password, hashed_password) + +def create_access_token(data: dict, expires_delta: Optional[timedelta] = None) -> str: + to_encode = data.copy() + if expires_delta: + expire = datetime.utcnow() + expires_delta + else: + expire = datetime.utcnow() + timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES) + + to_encode.update({"exp": expire}) + encoded_jwt = jwt.encode(to_encode, settings.SECRET_KEY, algorithm=settings.ALGORITHM) + return encoded_jwt + +def decode_access_token(token: str) -> Optional[str]: + try: + payload = jwt.decode(token, settings.SECRET_KEY, algorithms=[settings.ALGORITHM]) + username: str = payload.get("sub") + if username is None: + return None + return username + except JWTError: + return None diff --git a/qwen3-tts-backend/db/__init__.py b/qwen3-tts-backend/db/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/qwen3-tts-backend/db/crud.py b/qwen3-tts-backend/db/crud.py new file mode 100644 index 0000000..c4bbc9d --- /dev/null +++ b/qwen3-tts-backend/db/crud.py @@ -0,0 +1,198 @@ +import json +from typing import Optional, List, Dict, Any +from datetime import datetime +from sqlalchemy.orm import Session + +from db.models import User, Job, VoiceCache + +def get_user_by_username(db: Session, username: str) -> Optional[User]: + return db.query(User).filter(User.username == username).first() + +def get_user_by_email(db: Session, email: str) -> Optional[User]: + return db.query(User).filter(User.email == email).first() + +def create_user(db: Session, username: str, email: str, hashed_password: str) -> User: + user = User( + username=username, + email=email, + hashed_password=hashed_password + ) + db.add(user) + db.commit() + db.refresh(user) + return user + +def create_user_by_admin( + db: Session, + username: str, + email: str, + hashed_password: str, + is_superuser: bool = False +) -> User: + user = User( + username=username, + email=email, + hashed_password=hashed_password, + is_superuser=is_superuser + ) + db.add(user) + db.commit() + db.refresh(user) + return user + +def get_user_by_id(db: Session, user_id: int) -> Optional[User]: + return db.query(User).filter(User.id == user_id).first() + +def list_users(db: Session, skip: int = 0, limit: int = 100) -> tuple[List[User], int]: + total = db.query(User).count() + users = db.query(User).order_by(User.created_at.desc()).offset(skip).limit(limit).all() + return users, total + +def update_user( + db: Session, + user_id: int, + username: Optional[str] = None, + email: Optional[str] = None, + hashed_password: Optional[str] = None, + is_active: Optional[bool] = None, + is_superuser: Optional[bool] = None +) -> Optional[User]: + user = get_user_by_id(db, user_id) + if not user: + return None + + if username is not None: + user.username = username + if email is not None: + user.email = email + if hashed_password is not None: + user.hashed_password = hashed_password + if is_active is not None: + user.is_active = is_active + if is_superuser is not None: + user.is_superuser = is_superuser + + user.updated_at = datetime.utcnow() + db.commit() + db.refresh(user) + return user + +def delete_user(db: Session, user_id: int) -> bool: + user = get_user_by_id(db, user_id) + if not user: + return False + db.delete(user) + db.commit() + return True + +def create_job(db: Session, user_id: int, job_type: str, input_data: Dict[str, Any]) -> Job: + job = Job( + user_id=user_id, + job_type=job_type, + input_data=json.dumps(input_data), + status="pending" + ) + db.add(job) + db.commit() + db.refresh(job) + return job + +def get_job(db: Session, job_id: int, user_id: int) -> Optional[Job]: + return db.query(Job).filter(Job.id == job_id, Job.user_id == user_id).first() + +def list_jobs( + db: Session, + user_id: int, + skip: int = 0, + limit: int = 100, + status: Optional[str] = None +) -> List[Job]: + query = db.query(Job).filter(Job.user_id == user_id) + if status: + query = query.filter(Job.status == status) + return query.order_by(Job.created_at.desc()).offset(skip).limit(limit).all() + +def update_job_status( + db: Session, + job_id: int, + user_id: int, + status: str, + output_path: Optional[str] = None, + error_message: Optional[str] = None +) -> Optional[Job]: + job = get_job(db, job_id, user_id) + if not job: + return None + + job.status = status + if output_path: + job.output_path = output_path + if error_message: + job.error_message = error_message + if status in ["completed", "failed"]: + job.completed_at = datetime.utcnow() + + db.commit() + db.refresh(job) + return job + +def delete_job(db: Session, job_id: int, user_id: int) -> bool: + job = get_job(db, job_id, user_id) + if not job: + return False + db.delete(job) + db.commit() + return True + +def create_cache_entry( + db: Session, + user_id: int, + ref_audio_hash: str, + cache_path: str, + meta_data: Optional[Dict[str, Any]] = None +) -> VoiceCache: + cache = VoiceCache( + user_id=user_id, + ref_audio_hash=ref_audio_hash, + cache_path=cache_path, + meta_data=json.dumps(meta_data) if meta_data else None + ) + db.add(cache) + db.commit() + db.refresh(cache) + return cache + +def get_cache_entry(db: Session, user_id: int, ref_audio_hash: str) -> Optional[VoiceCache]: + cache = db.query(VoiceCache).filter( + VoiceCache.user_id == user_id, + VoiceCache.ref_audio_hash == ref_audio_hash + ).first() + + if cache: + cache.last_accessed = datetime.utcnow() + cache.access_count += 1 + db.commit() + db.refresh(cache) + + return cache + +def list_cache_entries( + db: Session, + user_id: int, + skip: int = 0, + limit: int = 100 +) -> List[VoiceCache]: + return db.query(VoiceCache).filter( + VoiceCache.user_id == user_id + ).order_by(VoiceCache.last_accessed.desc()).offset(skip).limit(limit).all() + +def delete_cache_entry(db: Session, cache_id: int, user_id: int) -> bool: + cache = db.query(VoiceCache).filter( + VoiceCache.id == cache_id, + VoiceCache.user_id == user_id + ).first() + if not cache: + return False + db.delete(cache) + db.commit() + return True diff --git a/qwen3-tts-backend/db/database.py b/qwen3-tts-backend/db/database.py new file mode 100644 index 0000000..0a5d48e --- /dev/null +++ b/qwen3-tts-backend/db/database.py @@ -0,0 +1,23 @@ +from sqlalchemy import create_engine +from sqlalchemy.orm import sessionmaker, declarative_base + +from config import settings + +engine = create_engine( + settings.DATABASE_URL, + connect_args={"check_same_thread": False} if "sqlite" in settings.DATABASE_URL else {} +) + +SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) + +Base = declarative_base() + +def get_db(): + db = SessionLocal() + try: + yield db + finally: + db.close() + +def init_db(): + Base.metadata.create_all(bind=engine) diff --git a/qwen3-tts-backend/db/models.py b/qwen3-tts-backend/db/models.py new file mode 100644 index 0000000..4e7e631 --- /dev/null +++ b/qwen3-tts-backend/db/models.py @@ -0,0 +1,67 @@ +from datetime import datetime +from enum import Enum +from sqlalchemy import Column, Integer, String, Boolean, DateTime, ForeignKey, Text, Index, JSON +from sqlalchemy.orm import relationship + +from db.database import Base + +class JobStatus(str, Enum): + PENDING = "pending" + PROCESSING = "processing" + COMPLETED = "completed" + FAILED = "failed" + +class User(Base): + __tablename__ = "users" + + id = Column(Integer, primary_key=True, index=True) + username = Column(String(50), unique=True, nullable=False, index=True) + email = Column(String(255), unique=True, nullable=False, index=True) + hashed_password = Column(String(255), nullable=False) + is_active = Column(Boolean, default=True, nullable=False) + is_superuser = Column(Boolean, default=False, nullable=False) + created_at = Column(DateTime, default=datetime.utcnow, nullable=False) + updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow, nullable=False) + + jobs = relationship("Job", back_populates="user", cascade="all, delete-orphan") + voice_caches = relationship("VoiceCache", back_populates="user", cascade="all, delete-orphan") + +class Job(Base): + __tablename__ = "jobs" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True) + job_type = Column(String(50), nullable=False) + status = Column(String(50), default="pending", nullable=False, index=True) + input_data = Column(Text, nullable=True) + input_params = Column(JSON, nullable=True) + output_path = Column(String(500), nullable=True) + error_message = Column(Text, nullable=True) + created_at = Column(DateTime, default=datetime.utcnow, nullable=False, index=True) + started_at = Column(DateTime, nullable=True) + completed_at = Column(DateTime, nullable=True) + + user = relationship("User", back_populates="jobs") + + __table_args__ = ( + Index('idx_user_status', 'user_id', 'status'), + Index('idx_user_created', 'user_id', 'created_at'), + ) + +class VoiceCache(Base): + __tablename__ = "voice_caches" + + id = Column(Integer, primary_key=True, index=True) + user_id = Column(Integer, ForeignKey("users.id"), nullable=False, index=True) + ref_audio_hash = Column(String(64), nullable=False, index=True) + cache_path = Column(String(500), nullable=False) + meta_data = Column(Text, nullable=True) + created_at = Column(DateTime, default=datetime.utcnow, nullable=False) + last_accessed = Column(DateTime, default=datetime.utcnow, nullable=False, index=True) + access_count = Column(Integer, default=0, nullable=False) + + user = relationship("User", back_populates="voice_caches") + + __table_args__ = ( + Index('idx_user_hash', 'user_id', 'ref_audio_hash'), + ) diff --git a/qwen3-tts-backend/deploy/nginx.conf b/qwen3-tts-backend/deploy/nginx.conf new file mode 100644 index 0000000..98fd570 --- /dev/null +++ b/qwen3-tts-backend/deploy/nginx.conf @@ -0,0 +1,55 @@ +upstream qwen_tts_backend { + server 127.0.0.1:8000; +} + +server { + listen 80; + server_name your-domain.com; + + client_max_body_size 100M; + client_body_timeout 300s; + proxy_read_timeout 300s; + proxy_connect_timeout 300s; + proxy_send_timeout 300s; + + location / { + proxy_pass http://qwen_tts_backend; + proxy_set_header Host $host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + + add_header 'Access-Control-Allow-Origin' '*' always; + add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS' always; + add_header 'Access-Control-Allow-Headers' 'Authorization, Content-Type' always; + + if ($request_method = 'OPTIONS') { + add_header 'Access-Control-Allow-Origin' '*'; + add_header 'Access-Control-Allow-Methods' 'GET, POST, PUT, DELETE, OPTIONS'; + add_header 'Access-Control-Allow-Headers' 'Authorization, Content-Type'; + add_header 'Content-Length' '0'; + add_header 'Content-Type' 'text/plain'; + return 204; + } + } + + location /outputs/ { + alias /opt/qwen3-tts-backend/outputs/; + autoindex off; + add_header Cache-Control "public, max-age=3600"; + add_header Content-Disposition "attachment"; + } + + location /health { + proxy_pass http://qwen_tts_backend/health; + proxy_set_header Host $host; + access_log off; + } + + location /metrics { + proxy_pass http://qwen_tts_backend/metrics; + proxy_set_header Host $host; + allow 127.0.0.1; + deny all; + } +} diff --git a/qwen3-tts-backend/deploy/qwen-tts.service b/qwen3-tts-backend/deploy/qwen-tts.service new file mode 100644 index 0000000..1996986 --- /dev/null +++ b/qwen3-tts-backend/deploy/qwen-tts.service @@ -0,0 +1,21 @@ +[Unit] +Description=Qwen3-TTS Backend API Service +After=network.target + +[Service] +Type=simple +User=qwen-tts +Group=qwen-tts +WorkingDirectory=/opt/qwen3-tts-backend +Environment="PATH=/opt/conda/envs/qwen3-tts/bin:/usr/local/bin:/usr/bin:/bin" +EnvironmentFile=/opt/qwen3-tts-backend/.env +ExecStart=/opt/conda/envs/qwen3-tts/bin/python main.py +Restart=on-failure +RestartSec=10s +StandardOutput=append:/var/log/qwen-tts/app.log +StandardError=append:/var/log/qwen-tts/error.log +TimeoutStopSec=30s +KillMode=mixed + +[Install] +WantedBy=multi-user.target diff --git a/qwen3-tts-backend/main.py b/qwen3-tts-backend/main.py new file mode 100644 index 0000000..c142ac6 --- /dev/null +++ b/qwen3-tts-backend/main.py @@ -0,0 +1,221 @@ +import logging +import sys +from contextlib import asynccontextmanager +from pathlib import Path + +import torch +from fastapi import FastAPI, Request +from fastapi.middleware.cors import CORSMiddleware +from slowapi import Limiter, _rate_limit_exceeded_handler +from slowapi.util import get_remote_address +from slowapi.errors import RateLimitExceeded +from sqlalchemy import text + +from core.config import settings +from core.database import init_db +from core.model_manager import ModelManager +from core.cleanup import run_scheduled_cleanup +from api import auth, jobs, tts, cache, metrics, users +from apscheduler.schedulers.asyncio import AsyncIOScheduler + +logging.basicConfig( + level=getattr(logging, settings.LOG_LEVEL.upper()), + format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', + handlers=[ + logging.StreamHandler(sys.stdout), + logging.FileHandler(settings.LOG_FILE) + ] +) + +logger = logging.getLogger(__name__) + +def get_user_identifier(request: Request) -> str: + from jose import jwt + from core.config import settings + + auth_header = request.headers.get("Authorization", "") + if auth_header.startswith("Bearer "): + token = auth_header.split(" ")[1] + try: + payload = jwt.decode(token, settings.SECRET_KEY, algorithms=[settings.ALGORITHM]) + user_id = payload.get("sub") + if user_id: + return f"user:{user_id}" + except Exception: + pass + + return get_remote_address(request) + +limiter = Limiter(key_func=get_user_identifier) + +@asynccontextmanager +async def lifespan(app: FastAPI): + logger.info("Starting Qwen3-TTS Backend Service...") + logger.info(f"Model base path: {settings.MODEL_BASE_PATH}") + logger.info(f"Cache directory: {settings.CACHE_DIR}") + logger.info(f"Output directory: {settings.OUTPUT_DIR}") + logger.info(f"Device: {settings.MODEL_DEVICE}") + + try: + settings.validate() + logger.info("Configuration validated successfully") + except Exception as e: + logger.error(f"Configuration validation failed: {e}") + raise + + try: + init_db() + logger.info("Database initialized successfully") + except Exception as e: + logger.error(f"Database initialization failed: {e}") + raise + + try: + model_manager = await ModelManager.get_instance() + await model_manager.load_model("custom-voice") + logger.info("Preloaded custom-voice model") + except Exception as e: + logger.warning(f"Model preload failed: {e}") + + scheduler = AsyncIOScheduler() + scheduler.add_job( + run_scheduled_cleanup, + 'interval', + hours=6, + args=[str(settings.DATABASE_URL)], + id='cleanup_task' + ) + scheduler.start() + logger.info("Background cleanup scheduler started (runs every 6 hours)") + + yield + + logger.info("Shutting down Qwen3-TTS Backend Service...") + + scheduler.shutdown() + logger.info("Scheduler shutdown completed") + + try: + model_manager = await ModelManager.get_instance() + await model_manager.unload_model() + logger.info("Model cleanup completed") + except Exception as e: + logger.error(f"Model cleanup failed: {e}") + +app = FastAPI( + title="Qwen3-TTS-WebUI Backend API", + description="Backend service for Qwen3-TTS-WebUI text-to-speech system", + version="0.1.0", + lifespan=lifespan +) + +app.state.limiter = limiter +app.add_exception_handler(RateLimitExceeded, _rate_limit_exceeded_handler) + +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +app.include_router(auth.router) +app.include_router(jobs.router) +app.include_router(tts.router) +app.include_router(cache.router) +app.include_router(metrics.router) +app.include_router(users.router) + +@app.get("/health") +async def health_check(): + from core.batch_processor import BatchProcessor + from core.database import SessionLocal + + gpu_available = torch.cuda.is_available() + + gpu_memory_used_mb = 0 + gpu_memory_total_mb = 0 + if gpu_available: + gpu_memory_used_mb = torch.cuda.memory_allocated(0) / 1024**2 + gpu_memory_total_mb = torch.cuda.get_device_properties(0).total_memory / 1024**2 + + model_manager = await ModelManager.get_instance() + current_model, _ = await model_manager.get_current_model() + + batch_processor = await BatchProcessor.get_instance() + queue_length = await batch_processor.get_queue_length() + + database_connected = True + try: + db = SessionLocal() + db.execute(text("SELECT 1")) + db.close() + except Exception as e: + logger.error(f"Database health check failed: {e}") + database_connected = False + + cache_dir_writable = True + try: + test_file = Path(settings.CACHE_DIR) / ".health_check" + test_file.write_text("test") + test_file.unlink() + except Exception as e: + logger.error(f"Cache directory health check failed: {e}") + cache_dir_writable = False + + output_dir_writable = True + try: + test_file = Path(settings.OUTPUT_DIR) / ".health_check" + test_file.write_text("test") + test_file.unlink() + except Exception as e: + logger.error(f"Output directory health check failed: {e}") + output_dir_writable = False + + critical_issues = [] + if not database_connected: + critical_issues.append("database_disconnected") + if not cache_dir_writable: + critical_issues.append("cache_dir_not_writable") + if not output_dir_writable: + critical_issues.append("output_dir_not_writable") + + minor_issues = [] + if not gpu_available: + minor_issues.append("gpu_not_available") + if queue_length > 50: + minor_issues.append("queue_congested") + + if critical_issues: + status = "unhealthy" + elif minor_issues: + status = "degraded" + else: + status = "healthy" + + return { + "status": status, + "gpu_available": gpu_available, + "gpu_memory_used_mb": gpu_memory_used_mb, + "gpu_memory_total_mb": gpu_memory_total_mb, + "queue_length": queue_length, + "active_model": current_model, + "database_connected": database_connected, + "cache_dir_writable": cache_dir_writable, + "output_dir_writable": output_dir_writable, + "issues": { + "critical": critical_issues, + "minor": minor_issues + } + } + +if __name__ == "__main__": + import uvicorn + uvicorn.run( + "main:app", + host=settings.HOST, + port=settings.PORT, + workers=settings.WORKERS, + log_level=settings.LOG_LEVEL.lower() + ) diff --git a/qwen3-tts-backend/pytest.ini b/qwen3-tts-backend/pytest.ini new file mode 100644 index 0000000..cdce43f --- /dev/null +++ b/qwen3-tts-backend/pytest.ini @@ -0,0 +1,6 @@ +[pytest] +asyncio_mode = auto +testpaths = tests +python_files = test_*.py +python_classes = Test* +python_functions = test_* diff --git a/qwen3-tts-backend/requirements.txt b/qwen3-tts-backend/requirements.txt new file mode 100644 index 0000000..335424a --- /dev/null +++ b/qwen3-tts-backend/requirements.txt @@ -0,0 +1,18 @@ +fastapi==0.115.0 +uvicorn[standard]==0.32.0 +pydantic==2.9.0 +python-multipart==0.0.12 +python-jose[cryptography]==3.3.0 +passlib==1.7.4 +bcrypt==3.2.2 +sqlalchemy==2.0.35 +aiosqlite==0.20.0 +soundfile==0.12.1 +scipy>=1.11.0 +apscheduler>=3.10.0 +slowapi==0.1.9 +locust==2.20.0 +pytest==8.3.0 +pytest-cov==4.1.0 +pytest-asyncio==0.23.0 +httpx==0.27.0 diff --git a/qwen3-tts-backend/schemas/__init__.py b/qwen3-tts-backend/schemas/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/qwen3-tts-backend/schemas/cache.py b/qwen3-tts-backend/schemas/cache.py new file mode 100644 index 0000000..5725e81 --- /dev/null +++ b/qwen3-tts-backend/schemas/cache.py @@ -0,0 +1,15 @@ +from datetime import datetime +from typing import Optional, Dict, Any +from pydantic import BaseModel, ConfigDict + +class CacheEntry(BaseModel): + id: int + user_id: int + ref_audio_hash: str + cache_path: str + meta_data: Optional[Dict[str, Any]] = None + created_at: datetime + last_accessed: datetime + access_count: int + + model_config = ConfigDict(from_attributes=True) diff --git a/qwen3-tts-backend/schemas/job.py b/qwen3-tts-backend/schemas/job.py new file mode 100644 index 0000000..d4e4eab --- /dev/null +++ b/qwen3-tts-backend/schemas/job.py @@ -0,0 +1,25 @@ +from datetime import datetime +from typing import Optional, Dict, Any, List +from pydantic import BaseModel, ConfigDict + +class JobBase(BaseModel): + job_type: str + +class JobCreate(JobBase): + input_data: Dict[str, Any] + +class Job(JobBase): + id: int + user_id: int + status: str + output_path: Optional[str] = None + download_url: Optional[str] = None + error_message: Optional[str] = None + created_at: datetime + completed_at: Optional[datetime] = None + + model_config = ConfigDict(from_attributes=True) + +class JobList(BaseModel): + total: int + jobs: List[Job] diff --git a/qwen3-tts-backend/schemas/tts.py b/qwen3-tts-backend/schemas/tts.py new file mode 100644 index 0000000..4da189a --- /dev/null +++ b/qwen3-tts-backend/schemas/tts.py @@ -0,0 +1,50 @@ +from typing import Optional, List +from pydantic import BaseModel, Field + +class TTSRequest(BaseModel): + text: str = Field(..., min_length=1, max_length=1000) + ref_audio: Optional[str] = None + ref_text: Optional[str] = None + language: str = Field(default="en") + speed: float = Field(default=1.0, ge=0.5, le=2.0) + +class TTSResponse(BaseModel): + job_id: int + status: str + audio_url: Optional[str] = None + + +class CustomVoiceRequest(BaseModel): + text: str = Field(..., min_length=1, max_length=1000) + language: str = Field(default="Auto") + speaker: str + instruct: Optional[str] = Field(default="") + max_new_tokens: Optional[int] = Field(default=2048, ge=128, le=4096) + temperature: Optional[float] = Field(default=0.9, ge=0.1, le=2.0) + top_k: Optional[int] = Field(default=50, ge=1, le=100) + top_p: Optional[float] = Field(default=1.0, ge=0.0, le=1.0) + repetition_penalty: Optional[float] = Field(default=1.05, ge=1.0, le=2.0) + + +class VoiceDesignRequest(BaseModel): + text: str = Field(..., min_length=1, max_length=1000) + language: str = Field(default="Auto") + instruct: str = Field(..., min_length=1) + max_new_tokens: Optional[int] = Field(default=2048, ge=128, le=4096) + temperature: Optional[float] = Field(default=0.9, ge=0.1, le=2.0) + top_k: Optional[int] = Field(default=50, ge=1, le=100) + top_p: Optional[float] = Field(default=1.0, ge=0.0, le=1.0) + repetition_penalty: Optional[float] = Field(default=1.05, ge=1.0, le=2.0) + + +class VoiceCloneRequest(BaseModel): + text: str = Field(..., min_length=1, max_length=1000) + language: str = Field(default="Auto") + ref_text: Optional[str] = Field(default=None, max_length=500) + use_cache: bool = Field(default=True) + x_vector_only_mode: bool = Field(default=False) + max_new_tokens: Optional[int] = Field(default=2048, ge=128, le=4096) + temperature: Optional[float] = Field(default=0.9, ge=0.1, le=2.0) + top_k: Optional[int] = Field(default=50, ge=1, le=100) + top_p: Optional[float] = Field(default=1.0, ge=0.0, le=1.0) + repetition_penalty: Optional[float] = Field(default=1.05, ge=1.0, le=2.0) diff --git a/qwen3-tts-backend/schemas/user.py b/qwen3-tts-backend/schemas/user.py new file mode 100644 index 0000000..055566d --- /dev/null +++ b/qwen3-tts-backend/schemas/user.py @@ -0,0 +1,91 @@ +from datetime import datetime +from typing import Optional +from pydantic import BaseModel, EmailStr, Field, field_validator, ConfigDict +import re + +class UserBase(BaseModel): + username: str = Field(..., min_length=3, max_length=50) + email: EmailStr + + @field_validator('username') + @classmethod + def validate_username(cls, v: str) -> str: + if not re.match(r'^[a-zA-Z0-9_-]+$', v): + raise ValueError('Username must contain only alphanumeric characters, underscores, and dashes') + return v + +class UserCreate(UserBase): + password: str = Field(..., min_length=8, max_length=128) + + @field_validator('password') + @classmethod + def validate_password_strength(cls, v: str) -> str: + if not re.search(r'[A-Z]', v): + raise ValueError('Password must contain at least one uppercase letter') + if not re.search(r'[a-z]', v): + raise ValueError('Password must contain at least one lowercase letter') + if not re.search(r'\d', v): + raise ValueError('Password must contain at least one digit') + return v + +class User(UserBase): + id: int + is_active: bool + is_superuser: bool + created_at: datetime + + model_config = ConfigDict(from_attributes=True) + +class UserCreateByAdmin(UserBase): + password: str = Field(..., min_length=8, max_length=128) + is_superuser: bool = False + + @field_validator('password') + @classmethod + def validate_password_strength(cls, v: str) -> str: + if not re.search(r'[A-Z]', v): + raise ValueError('Password must contain at least one uppercase letter') + if not re.search(r'[a-z]', v): + raise ValueError('Password must contain at least one lowercase letter') + if not re.search(r'\d', v): + raise ValueError('Password must contain at least one digit') + return v + +class UserUpdate(BaseModel): + username: Optional[str] = Field(None, min_length=3, max_length=50) + email: Optional[EmailStr] = None + password: Optional[str] = Field(None, min_length=8, max_length=128) + is_active: Optional[bool] = None + is_superuser: Optional[bool] = None + + @field_validator('username') + @classmethod + def validate_username(cls, v: Optional[str]) -> Optional[str]: + if v is not None and not re.match(r'^[a-zA-Z0-9_-]+$', v): + raise ValueError('Username must contain only alphanumeric characters, underscores, and dashes') + return v + + @field_validator('password') + @classmethod + def validate_password_strength(cls, v: Optional[str]) -> Optional[str]: + if v is not None: + if not re.search(r'[A-Z]', v): + raise ValueError('Password must contain at least one uppercase letter') + if not re.search(r'[a-z]', v): + raise ValueError('Password must contain at least one lowercase letter') + if not re.search(r'\d', v): + raise ValueError('Password must contain at least one digit') + return v + +class UserListResponse(BaseModel): + users: list[User] + total: int + skip: int + limit: int + +class Token(BaseModel): + access_token: str + token_type: str + +class TokenData(BaseModel): + username: Optional[str] = None diff --git a/qwen3-tts-backend/scripts/add_superuser_field.py b/qwen3-tts-backend/scripts/add_superuser_field.py new file mode 100644 index 0000000..12c9c28 --- /dev/null +++ b/qwen3-tts-backend/scripts/add_superuser_field.py @@ -0,0 +1,23 @@ +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from sqlalchemy import text +from core.database import engine + +def add_superuser_field(): + try: + with engine.connect() as conn: + conn.execute(text("ALTER TABLE users ADD COLUMN is_superuser BOOLEAN NOT NULL DEFAULT 0")) + conn.commit() + print("Successfully added is_superuser field to users table") + except Exception as e: + if "duplicate column name" in str(e).lower() or "already exists" in str(e).lower(): + print("is_superuser field already exists, skipping") + else: + print(f"Error adding is_superuser field: {e}") + raise + +if __name__ == "__main__": + add_superuser_field() diff --git a/qwen3-tts-backend/scripts/create_admin.py b/qwen3-tts-backend/scripts/create_admin.py new file mode 100644 index 0000000..4d34f75 --- /dev/null +++ b/qwen3-tts-backend/scripts/create_admin.py @@ -0,0 +1,40 @@ +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from core.database import SessionLocal +from core.security import get_password_hash +from db.crud import get_user_by_username, create_user_by_admin + +def create_admin(): + db = SessionLocal() + try: + existing_admin = get_user_by_username(db, username="admin") + if existing_admin: + print("Admin user already exists") + if not existing_admin.is_superuser: + existing_admin.is_superuser = True + db.commit() + print("Updated existing admin user to superuser") + return + + hashed_password = get_password_hash("admin123456") + admin_user = create_user_by_admin( + db, + username="admin", + email="admin@example.com", + hashed_password=hashed_password, + is_superuser=True + ) + print(f"Created admin user successfully: {admin_user.username}") + print("Username: admin") + print("Password: admin123456") + except Exception as e: + print(f"Error creating admin user: {e}") + raise + finally: + db.close() + +if __name__ == "__main__": + create_admin() diff --git a/qwen3-tts-backend/utils/__init__.py b/qwen3-tts-backend/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/qwen3-tts-backend/utils/audio.py b/qwen3-tts-backend/utils/audio.py new file mode 100644 index 0000000..767e6c1 --- /dev/null +++ b/qwen3-tts-backend/utils/audio.py @@ -0,0 +1,113 @@ +import base64 +import io +from pathlib import Path +import numpy as np +import soundfile as sf +from scipy import signal + + +def validate_ref_audio(audio_data: bytes, max_size_mb: int = 10) -> bool: + try: + size_mb = len(audio_data) / (1024 * 1024) + if size_mb > max_size_mb: + return False + + buffer = io.BytesIO(audio_data) + audio_array, sample_rate = sf.read(buffer) + + duration = len(audio_array) / sample_rate + if duration < 1.0 or duration > 30.0: + return False + + return True + except Exception: + return False + + +def process_ref_audio(audio_data: bytes) -> tuple[np.ndarray, int]: + buffer = io.BytesIO(audio_data) + audio_array, orig_sr = sf.read(buffer) + + if audio_array.ndim > 1: + audio_array = np.mean(audio_array, axis=1) + + target_sr = 24000 + if orig_sr != target_sr: + audio_array = resample_audio(audio_array, orig_sr, target_sr) + + audio_array = audio_array.astype(np.float32) + return audio_array, target_sr + + +def resample_audio(audio_array: np.ndarray, orig_sr: int, target_sr: int = 24000) -> np.ndarray: + if orig_sr == target_sr: + return audio_array + + num_samples = int(len(audio_array) * target_sr / orig_sr) + resampled = signal.resample(audio_array, num_samples) + return resampled.astype(np.float32) + + +def extract_audio_features(audio_array: np.ndarray, sample_rate: int) -> dict: + duration = len(audio_array) / sample_rate + rms_energy = np.sqrt(np.mean(audio_array ** 2)) + + return { + 'duration': float(duration), + 'sample_rate': int(sample_rate), + 'num_samples': int(len(audio_array)), + 'rms_energy': float(rms_energy) + } + + +def encode_audio_to_base64(audio_array: np.ndarray, sample_rate: int) -> str: + buffer = io.BytesIO() + sf.write(buffer, audio_array, sample_rate, format='WAV') + buffer.seek(0) + audio_bytes = buffer.read() + return base64.b64encode(audio_bytes).decode('utf-8') + + +def decode_base64_to_audio(base64_string: str) -> tuple[np.ndarray, int]: + audio_bytes = base64.b64decode(base64_string) + buffer = io.BytesIO(audio_bytes) + audio_array, sample_rate = sf.read(buffer) + return audio_array, sample_rate + + +def validate_audio_format(audio_data: bytes) -> bool: + try: + buffer = io.BytesIO(audio_data) + sf.read(buffer) + return True + except Exception: + return False + + +def get_audio_duration(audio_array: np.ndarray, sample_rate: int) -> float: + return len(audio_array) / sample_rate + + +def save_audio_file( + audio_array: np.ndarray, + sample_rate: int, + output_path: str | Path +) -> str: + output_path = Path(output_path) + output_path.parent.mkdir(parents=True, exist_ok=True) + + if not isinstance(audio_array, np.ndarray): + audio_array = np.array(audio_array, dtype=np.float32) + + if audio_array.ndim == 1: + pass + elif audio_array.ndim == 2: + if audio_array.shape[0] < audio_array.shape[1]: + audio_array = audio_array.T + else: + raise ValueError(f"Unexpected audio array shape: {audio_array.shape}") + + audio_array = audio_array.astype(np.float32) + + sf.write(str(output_path), audio_array, sample_rate, format='WAV', subtype='PCM_16') + return str(output_path) diff --git a/qwen3-tts-backend/utils/metrics.py b/qwen3-tts-backend/utils/metrics.py new file mode 100644 index 0000000..2fb8f28 --- /dev/null +++ b/qwen3-tts-backend/utils/metrics.py @@ -0,0 +1,80 @@ +import threading +from typing import Dict +from pathlib import Path +from sqlalchemy.orm import Session +from db.models import VoiceCache + + +class CacheMetrics: + def __init__(self): + self._lock = threading.Lock() + self.cache_hits = 0 + self.cache_misses = 0 + self._user_hits: Dict[int, int] = {} + self._user_misses: Dict[int, int] = {} + + def record_hit(self, user_id: int): + with self._lock: + self.cache_hits += 1 + self._user_hits[user_id] = self._user_hits.get(user_id, 0) + 1 + + def record_miss(self, user_id: int): + with self._lock: + self.cache_misses += 1 + self._user_misses[user_id] = self._user_misses.get(user_id, 0) + 1 + + def get_stats(self, db: Session, cache_dir: str) -> dict: + with self._lock: + total_requests = self.cache_hits + self.cache_misses + hit_rate = self.cache_hits / total_requests if total_requests > 0 else 0.0 + + total_entries = db.query(VoiceCache).count() + + total_size_bytes = 0 + cache_path = Path(cache_dir) + if cache_path.exists(): + for cache_file in cache_path.glob("*.pkl"): + total_size_bytes += cache_file.stat().st_size + + total_size_mb = total_size_bytes / (1024 * 1024) + + user_stats = [] + for user_id in set(list(self._user_hits.keys()) + list(self._user_misses.keys())): + hits = self._user_hits.get(user_id, 0) + misses = self._user_misses.get(user_id, 0) + total = hits + misses + user_hit_rate = hits / total if total > 0 else 0.0 + + user_cache_count = db.query(VoiceCache).filter( + VoiceCache.user_id == user_id + ).count() + + user_stats.append({ + 'user_id': user_id, + 'hits': hits, + 'misses': misses, + 'hit_rate': user_hit_rate, + 'cache_entries': user_cache_count + }) + + return { + 'global': { + 'total_requests': total_requests, + 'cache_hits': self.cache_hits, + 'cache_misses': self.cache_misses, + 'hit_rate': hit_rate, + 'total_entries': total_entries, + 'total_size_mb': total_size_mb + }, + 'users': user_stats + } + + def reset(self): + with self._lock: + self.cache_hits = 0 + self.cache_misses = 0 + self._user_hits.clear() + self._user_misses.clear() + + +cache_metrics = CacheMetrics() diff --git a/qwen3-tts-backend/utils/validation.py b/qwen3-tts-backend/utils/validation.py new file mode 100644 index 0000000..f78b495 --- /dev/null +++ b/qwen3-tts-backend/utils/validation.py @@ -0,0 +1,102 @@ +from typing import List, Dict + +SUPPORTED_LANGUAGES = [ + "Chinese", "English", "Japanese", "Korean", "German", + "French", "Russian", "Portuguese", "Spanish", "Italian", + "Auto", "Cantonese" +] + +SUPPORTED_SPEAKERS = [ + "Vivian", "Serena", "Uncle_Fu", "Dylan", "Eric", + "Ryan", "Aiden", "Ono_Anna", "Sohee" +] + +SPEAKER_DESCRIPTIONS = { + "Vivian": "Female, professional and clear", + "Serena": "Female, gentle and warm", + "Uncle_Fu": "Male, mature and authoritative", + "Dylan": "Male, young and energetic", + "Eric": "Male, calm and steady", + "Ryan": "Male, friendly and casual", + "Aiden": "Male, deep and resonant", + "Ono_Anna": "Female, cute and lively", + "Sohee": "Female, soft and melodious" +} + + +def validate_language(language: str) -> str: + normalized = language.strip() + + for supported in SUPPORTED_LANGUAGES: + if normalized.lower() == supported.lower(): + return supported + + raise ValueError( + f"Unsupported language: {language}. " + f"Supported languages: {', '.join(SUPPORTED_LANGUAGES)}" + ) + + +def validate_speaker(speaker: str) -> str: + normalized = speaker.strip() + + for supported in SUPPORTED_SPEAKERS: + if normalized.lower() == supported.lower(): + return supported + + raise ValueError( + f"Unsupported speaker: {speaker}. " + f"Supported speakers: {', '.join(SUPPORTED_SPEAKERS)}" + ) + + +def validate_text_length(text: str, max_length: int = 1000) -> str: + if not text or not text.strip(): + raise ValueError("Text cannot be empty") + + if len(text) > max_length: + raise ValueError( + f"Text length ({len(text)}) exceeds maximum ({max_length})" + ) + + return text.strip() + + +def validate_generation_params(params: dict) -> dict: + validated = {} + + validated['max_new_tokens'] = params.get('max_new_tokens', 2048) + if not 128 <= validated['max_new_tokens'] <= 4096: + raise ValueError("max_new_tokens must be between 128 and 4096") + + validated['temperature'] = params.get('temperature', 0.9) + if not 0.1 <= validated['temperature'] <= 2.0: + raise ValueError("temperature must be between 0.1 and 2.0") + + validated['top_k'] = params.get('top_k', 50) + if not 1 <= validated['top_k'] <= 100: + raise ValueError("top_k must be between 1 and 100") + + validated['top_p'] = params.get('top_p', 1.0) + if not 0.0 <= validated['top_p'] <= 1.0: + raise ValueError("top_p must be between 0.0 and 1.0") + + validated['repetition_penalty'] = params.get('repetition_penalty', 1.05) + if not 1.0 <= validated['repetition_penalty'] <= 2.0: + raise ValueError("repetition_penalty must be between 1.0 and 2.0") + + return validated + + +def get_supported_languages() -> List[str]: + return SUPPORTED_LANGUAGES.copy() + + +def get_supported_speakers() -> List[dict]: + return [ + { + "name": speaker, + "description": SPEAKER_DESCRIPTIONS.get(speaker, "") + } + for speaker in SUPPORTED_SPEAKERS + ] diff --git a/qwen3-tts-frontend/.env.example b/qwen3-tts-frontend/.env.example new file mode 100644 index 0000000..ec52b11 --- /dev/null +++ b/qwen3-tts-frontend/.env.example @@ -0,0 +1,2 @@ +VITE_API_URL=http://localhost:8000 +VITE_APP_NAME=Qwen3-TTS diff --git a/qwen3-tts-frontend/.env.production b/qwen3-tts-frontend/.env.production new file mode 100644 index 0000000..dab1cf7 --- /dev/null +++ b/qwen3-tts-frontend/.env.production @@ -0,0 +1,2 @@ +VITE_API_URL=https://api.example.com +VITE_APP_NAME=Qwen3-TTS diff --git a/qwen3-tts-frontend/.gitignore b/qwen3-tts-frontend/.gitignore new file mode 100644 index 0000000..4513a15 --- /dev/null +++ b/qwen3-tts-frontend/.gitignore @@ -0,0 +1,27 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local +.env +.env.local +.env.*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/qwen3-tts-frontend/components.json b/qwen3-tts-frontend/components.json new file mode 100644 index 0000000..e2c49ef --- /dev/null +++ b/qwen3-tts-frontend/components.json @@ -0,0 +1,20 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "default", + "rsc": false, + "tsx": true, + "tailwind": { + "config": "tailwind.config.js", + "css": "src/index.css", + "baseColor": "slate", + "cssVariables": true, + "prefix": "" + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils", + "ui": "@/components/ui", + "lib": "@/lib", + "hooks": "@/hooks" + } +} diff --git a/qwen3-tts-frontend/eslint.config.js b/qwen3-tts-frontend/eslint.config.js new file mode 100644 index 0000000..5e6b472 --- /dev/null +++ b/qwen3-tts-frontend/eslint.config.js @@ -0,0 +1,23 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import tseslint from 'typescript-eslint' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{ts,tsx}'], + extends: [ + js.configs.recommended, + tseslint.configs.recommended, + reactHooks.configs.flat.recommended, + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + }, + 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diff --git a/qwen3-tts-frontend/package.json b/qwen3-tts-frontend/package.json new file mode 100644 index 0000000..6fbff31 --- /dev/null +++ b/qwen3-tts-frontend/package.json @@ -0,0 +1,58 @@ +{ + "name": "qwen3-tts-frontend", + "private": true, + "version": "0.0.0", + "type": "module", + "scripts": { + "dev": "vite", + "build": "tsc -b && vite build", + "lint": "eslint .", + "preview": "vite preview" + }, + "dependencies": { + "@hookform/resolvers": "^5.2.2", + "@radix-ui/react-alert-dialog": "^1.1.15", + "@radix-ui/react-checkbox": "^1.3.3", + "@radix-ui/react-collapsible": "^1.1.12", + "@radix-ui/react-dialog": "^1.1.15", + "@radix-ui/react-label": "^2.1.8", + "@radix-ui/react-progress": "^1.1.8", + "@radix-ui/react-scroll-area": "^1.2.10", + "@radix-ui/react-select": "^2.2.6", + "@radix-ui/react-separator": "^1.1.8", + "@radix-ui/react-slider": "^1.3.6", + "@radix-ui/react-slot": "^1.2.4", + "@radix-ui/react-tabs": "^1.1.13", + "@radix-ui/react-tooltip": "^1.2.8", + "axios": "^1.13.3", + "class-variance-authority": "^0.7.1", + "clsx": "^2.1.1", + "lucide-react": "^0.563.0", + "next-themes": "^0.4.6", + "react": "^19.2.0", + "react-dom": "^19.2.0", + "react-h5-audio-player": "^3.10.1", + "react-hook-form": "^7.71.1", + "react-router-dom": "^7.13.0", + "sonner": "^2.0.7", + "tailwind-merge": "^3.4.0", + "zod": "^4.3.6" + }, + "devDependencies": { + "@eslint/js": "^9.39.1", + "@types/node": "^24.10.9", + "@types/react": "^19.2.5", + "@types/react-dom": "^19.2.3", + "@vitejs/plugin-react": "^5.1.1", + "autoprefixer": "^10.4.23", + "eslint": "^9.39.1", + "eslint-plugin-react-hooks": "^7.0.1", + "eslint-plugin-react-refresh": "^0.4.24", + "globals": "^16.5.0", + "postcss": "^8.5.6", + "tailwindcss": "^3.4.19", + "typescript": "~5.9.3", + "typescript-eslint": "^8.46.4", + "vite": "^7.2.4" + } +} diff --git a/qwen3-tts-frontend/postcss.config.js b/qwen3-tts-frontend/postcss.config.js new file mode 100644 index 0000000..2e7af2b --- /dev/null +++ b/qwen3-tts-frontend/postcss.config.js @@ -0,0 +1,6 @@ +export default { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/qwen3-tts-frontend/public/vite.svg b/qwen3-tts-frontend/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/qwen3-tts-frontend/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/qwen3-tts-frontend/src/App.tsx b/qwen3-tts-frontend/src/App.tsx new file mode 100644 index 0000000..6e2a2b9 --- /dev/null +++ b/qwen3-tts-frontend/src/App.tsx @@ -0,0 +1,98 @@ +import { lazy, Suspense } from 'react' +import { BrowserRouter, Routes, Route, Navigate } from 'react-router-dom' +import { Toaster } from 'sonner' +import { ThemeProvider } from '@/contexts/ThemeContext' +import { AuthProvider, useAuth } from '@/contexts/AuthContext' +import { AppProvider } from '@/contexts/AppContext' +import { JobProvider } from '@/contexts/JobContext' +import ErrorBoundary from '@/components/ErrorBoundary' +import LoadingScreen from '@/components/LoadingScreen' +import { SuperAdminRoute } from '@/components/SuperAdminRoute' + +const Login = lazy(() => import('@/pages/Login')) +const Home = lazy(() => import('@/pages/Home')) +const UserManagement = lazy(() => import('@/pages/UserManagement')) + +function ProtectedRoute({ children }: { children: React.ReactNode }) { + const { isAuthenticated, isLoading } = useAuth() + + if (isLoading) { + return ( +
    +
    加载中...
    +
    + ) + } + + if (!isAuthenticated) { + return + } + + return <>{children} +} + +function PublicRoute({ children }: { children: React.ReactNode }) { + const { isAuthenticated, isLoading } = useAuth() + + if (isLoading) { + return ( +
    +
    加载中...
    +
    + ) + } + + if (isAuthenticated) { + return + } + + return <>{children} +} + +function App() { + return ( + + + + + + }> + + + + + } + /> + + + + + + + + } + /> + + + + } + /> + + + + + + + ) +} + +export default App diff --git a/qwen3-tts-frontend/src/assets/react.svg b/qwen3-tts-frontend/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/qwen3-tts-frontend/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/qwen3-tts-frontend/src/components/AudioInputSelector.tsx b/qwen3-tts-frontend/src/components/AudioInputSelector.tsx new file mode 100644 index 0000000..0cb22ec --- /dev/null +++ b/qwen3-tts-frontend/src/components/AudioInputSelector.tsx @@ -0,0 +1,44 @@ +import { useState } from 'react' +import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs' +import { Upload, Mic } from 'lucide-react' +import { FileUploader } from '@/components/FileUploader' +import { AudioRecorder } from '@/components/AudioRecorder' + +interface AudioInputSelectorProps { + value: File | null + onChange: (file: File | null) => void + error?: string +} + +export function AudioInputSelector({ value, onChange, error }: AudioInputSelectorProps) { + const [activeTab, setActiveTab] = useState('upload') + + const handleTabChange = (newTab: string) => { + onChange(null) + setActiveTab(newTab) + } + + return ( + + + + + 上传文件 + + + + 录制音频 + + + + + + + + + + {error &&

    {error}

    } +     +     + ) +} diff --git a/qwen3-tts-frontend/src/components/AudioPlayer.module.css b/qwen3-tts-frontend/src/components/AudioPlayer.module.css new file mode 100644 index 0000000..34e5778 --- /dev/null +++ b/qwen3-tts-frontend/src/components/AudioPlayer.module.css @@ -0,0 +1,102 @@ +.audioPlayerWrapper { + display: flex; + align-items: center; + gap: 0.5rem; + border: 1px solid hsl(var(--border)); + border-radius: var(--radius); + padding: 0.75rem; + background: transparent; +} + +.audioPlayerWrapper :global(.rhap_container) { + flex: 1; + background-color: transparent; + box-shadow: none; + padding: 0; +} + +.audioPlayerWrapper :global(.rhap_main) { + --rhap_theme-color: hsl(var(--primary)); + --rhap_background-color: transparent; + --rhap_bar-color: hsl(var(--secondary)); + --rhap_time-color: hsl(var(--muted-foreground)); +} + +.audioPlayerWrapper :global(.rhap_progress-indicator), +.audioPlayerWrapper :global(.rhap_volume-indicator) { + background: hsl(var(--primary)); +} + +.audioPlayerWrapper :global(.rhap_progress-filled), +.audioPlayerWrapper :global(.rhap_volume-bar) { + background-color: hsl(var(--primary)); +} + +.audioPlayerWrapper :global(.rhap_progress-bar), +.audioPlayerWrapper :global(.rhap_volume-container) { + background-color: hsl(var(--secondary)); +} + +.audioPlayerWrapper :global(.rhap_progress-bar) { + height: 6px; + border-radius: 3px; + transition: height 0.15s ease; +} + +.audioPlayerWrapper :global(.rhap_progress-bar):hover { + height: 7px; +} + +.audioPlayerWrapper :global(.rhap_progress-filled) { + border-radius: 3px; +} + +.audioPlayerWrapper :global(.rhap_progress-indicator) { + width: 14px; + height: 14px; + top: -4px; + margin-left: -7px; + transition: transform 0.15s ease, box-shadow 0.15s ease; +} + +.audioPlayerWrapper :global(.rhap_progress-indicator):hover { + transform: scale(1.1); +} + +.audioPlayerWrapper :global(.rhap_progress-container) { + margin: 0 0.5rem; +} + +.audioPlayerWrapper :global(.rhap_horizontal .rhap_controls-section) { + margin-left: 0; +} + +.audioPlayerWrapper :global(.rhap_time) { + color: hsl(var(--muted-foreground)); + font-size: 0.875rem; + font-weight: 500; +} + +.audioPlayerWrapper :global(.rhap_button-clear) { + color: hsl(var(--foreground)); + font-size: 1.25rem; +} + +.audioPlayerWrapper :global(.rhap_button-clear):hover { + color: hsl(var(--primary)); +} + +.audioPlayerWrapper :global(.rhap_main-controls-button) { + width: 40px; + height: 40px; +} + +.audioPlayerWrapper :global(.rhap_main-controls-button svg) { + width: 22px; + height: 22px; +} + +.downloadButton { + min-height: 40px; + min-width: 40px; +} diff --git a/qwen3-tts-frontend/src/components/AudioPlayer.tsx b/qwen3-tts-frontend/src/components/AudioPlayer.tsx new file mode 100644 index 0000000..7ac8643 --- /dev/null +++ b/qwen3-tts-frontend/src/components/AudioPlayer.tsx @@ -0,0 +1,121 @@ +import { useRef, useState, useEffect, useCallback, memo } from 'react' +import AudioPlayerLib from 'react-h5-audio-player' +import 'react-h5-audio-player/lib/styles.css' +import { Button } from '@/components/ui/button' +import { Download } from 'lucide-react' +import apiClient from '@/lib/api' +import styles from './AudioPlayer.module.css' + +interface AudioPlayerProps { + audioUrl: string + jobId: number +} + +const AudioPlayer = memo(({ audioUrl, jobId }: AudioPlayerProps) => { + const [blobUrl, setBlobUrl] = useState('') + const [isLoading, setIsLoading] = useState(false) + const [loadError, setLoadError] = useState(null) + const previousAudioUrlRef = useRef('') + const playerRef = useRef(null) + + useEffect(() => { + if (!audioUrl || audioUrl === previousAudioUrlRef.current) return + + let active = true + const prevBlobUrl = blobUrl + + const fetchAudio = async () => { + setIsLoading(true) + setLoadError(null) + + if (prevBlobUrl) { + URL.revokeObjectURL(prevBlobUrl) + } + + try { + const response = await apiClient.get(audioUrl, { responseType: 'blob' }) + if (active) { + const url = URL.createObjectURL(response.data) + setBlobUrl(url) + previousAudioUrlRef.current = audioUrl + } + } catch (error) { + console.error("Failed to load audio:", error) + if (active) { + setLoadError('Failed to load audio') + } + } finally { + if (active) { + setIsLoading(false) + } + } + } + + fetchAudio() + + return () => { + active = false + } + }, [audioUrl]) + + useEffect(() => { + return () => { + if (blobUrl) URL.revokeObjectURL(blobUrl) + } + }, []) + + const handleDownload = useCallback(() => { + const link = document.createElement('a') + link.href = blobUrl || audioUrl + link.download = `tts-${jobId}-${Date.now()}.wav` + link.click() + }, [blobUrl, audioUrl, jobId]) + + if (isLoading) { + return ( +
    + Loading... +
    + ) + } + + if (loadError) { + return ( +
    + {loadError} +
    + ) + } + + if (!blobUrl) { + return null + } + + return ( +
    + + + + ]} + customVolumeControls={[]} + showJumpControls={false} + volume={1} + /> +
    + ) +}) + +AudioPlayer.displayName = 'AudioPlayer' + +export { AudioPlayer } diff --git a/qwen3-tts-frontend/src/components/AudioRecorder.tsx b/qwen3-tts-frontend/src/components/AudioRecorder.tsx new file mode 100644 index 0000000..ea2aeb6 --- /dev/null +++ b/qwen3-tts-frontend/src/components/AudioRecorder.tsx @@ -0,0 +1,153 @@ +import { useEffect, useState } from 'react' +import { Button } from '@/components/ui/button' +import { Mic, Trash2, RotateCcw, FileAudio } from 'lucide-react' +import { toast } from 'sonner' +import { useAudioRecorder } from '@/hooks/useAudioRecorder' +import { useAudioValidation } from '@/hooks/useAudioValidation' + +interface AudioRecorderProps { + onChange: (file: File | null) => void +} + +export function AudioRecorder({ onChange }: AudioRecorderProps) { + const { + isRecording, + recordingDuration, + audioBlob, + error: recorderError, + isSupported, + startRecording, + stopRecording, + clearRecording, + } = useAudioRecorder() + + const { validateAudioFile } = useAudioValidation() + const [audioInfo, setAudioInfo] = useState<{ duration: number; size: number } | null>(null) + const [validationError, setValidationError] = useState(null) + + useEffect(() => { + if (recorderError) { + toast.error(recorderError) + } + }, [recorderError]) + + useEffect(() => { + if (audioBlob) { + handleValidateRecording(audioBlob) + } + }, [audioBlob]) + + const handleValidateRecording = async (blob: Blob) => { + const file = new File([blob], 'recording.wav', { type: 'audio/wav' }) + + const result = await validateAudioFile(file) + + if (result.valid && result.duration) { + onChange(file) + setAudioInfo({ duration: result.duration, size: file.size }) + setValidationError(null) + } else { + setValidationError(result.error || '录音验证失败') + clearRecording() + onChange(null) + } + } + + const handleMouseDown = () => { + if (!isRecording && !audioBlob) { + startRecording() + } + } + + const handleMouseUp = () => { + if (isRecording) { + stopRecording() + } + } + + const handleReset = () => { + clearRecording() + setAudioInfo(null) + setValidationError(null) + onChange(null) + } + + const handleKeyDown = (e: React.KeyboardEvent) => { + if (e.key === ' ' && !isRecording && !audioBlob) { + e.preventDefault() + startRecording() + } + } + + const handleKeyUp = (e: React.KeyboardEvent) => { + if (e.key === ' ' && isRecording) { + e.preventDefault() + stopRecording() + } + } + + if (!isSupported) { + return ( +
    + 您的浏览器不支持录音功能 +
    + ) + } + + if (audioBlob && audioInfo) { + return ( +
    +
    + +
    +

    录制完成

    +

    + {(audioInfo.size / 1024 / 1024).toFixed(2)} MB · {audioInfo.duration.toFixed(1)} 秒 +

    +
    + +
    +
    + ) + } + + return ( +
    + + + {validationError && ( +
    +

    {validationError}

    + +
    + )} +
    + ) +} diff --git a/qwen3-tts-frontend/src/components/ErrorBoundary.tsx b/qwen3-tts-frontend/src/components/ErrorBoundary.tsx new file mode 100644 index 0000000..28ea5ac --- /dev/null +++ b/qwen3-tts-frontend/src/components/ErrorBoundary.tsx @@ -0,0 +1,73 @@ +import { Component, type ReactNode } from 'react'; + +interface Props { + children: ReactNode; +} + +interface State { + hasError: boolean; + error: Error | null; +} + +class ErrorBoundary extends Component { + constructor(props: Props) { + super(props); + this.state = { hasError: false, error: null }; + } + + static getDerivedStateFromError(error: Error): State { + return { hasError: true, error }; + } + + componentDidCatch(error: Error, errorInfo: React.ErrorInfo) { + console.error('ErrorBoundary caught error:', error, errorInfo); + } + + handleReset = () => { + this.setState({ hasError: false, error: null }); + }; + + render() { + if (this.state.hasError) { + return ( +
    +
    +
    +

    Something went wrong

    +

    + An unexpected error occurred. Please try refreshing the page. +

    +
    + + {this.state.error && ( +
    +

    + {this.state.error.message} +

    +
    + )} + +
    + + +
    +
    +
    + ); + } + + return this.props.children; + } +} + +export default ErrorBoundary; diff --git a/qwen3-tts-frontend/src/components/FileUploader.tsx b/qwen3-tts-frontend/src/components/FileUploader.tsx new file mode 100644 index 0000000..a84ef84 --- /dev/null +++ b/qwen3-tts-frontend/src/components/FileUploader.tsx @@ -0,0 +1,89 @@ +import { useRef, useState, type ChangeEvent } from 'react' +import { Button } from '@/components/ui/button' +import { Upload, X, FileAudio } from 'lucide-react' +import { toast } from 'sonner' +import { useAudioValidation } from '@/hooks/useAudioValidation' + +interface AudioInfo { + duration: number + size: number +} + +interface FileUploaderProps { + value: File | null + onChange: (file: File | null) => void + error?: string +} + +export function FileUploader({ value, onChange, error }: FileUploaderProps) { + const inputRef = useRef(null) + const { validateAudioFile } = useAudioValidation() + const [isValidating, setIsValidating] = useState(false) + const [audioInfo, setAudioInfo] = useState(null) + + const handleFileSelect = async (e: ChangeEvent) => { + const file = e.target.files?.[0] + if (!file) return + + setIsValidating(true) + const result = await validateAudioFile(file) + setIsValidating(false) + + if (result.valid && result.duration) { + onChange(file) + setAudioInfo({ duration: result.duration, size: file.size }) + } else { + toast.error(result.error || '文件验证失败') + e.target.value = '' + } + } + + const handleRemove = () => { + onChange(null) + setAudioInfo(null) + if (inputRef.current) { + inputRef.current.value = '' + } + } + + return ( +
    + {!value ? ( + + ) : ( +
    + +
    +

    {value.name}

    + {audioInfo && ( +

    + {(audioInfo.size / 1024 / 1024).toFixed(2)} MB · {audioInfo.duration.toFixed(1)} 秒 +

    + )} +
    + +
    + )} + + + + {error &&

    {error}

    } +
    + ) +} diff --git a/qwen3-tts-frontend/src/components/FormSkeleton.tsx b/qwen3-tts-frontend/src/components/FormSkeleton.tsx new file mode 100644 index 0000000..30d1ea2 --- /dev/null +++ b/qwen3-tts-frontend/src/components/FormSkeleton.tsx @@ -0,0 +1,29 @@ +const FormSkeleton = () => { + return ( +
    +
    +
    +
    +
    + +
    +
    +
    +
    + +
    +
    +
    +
    + +
    +
    +
    +
    + +
    +
    + ); +}; + +export default FormSkeleton; diff --git a/qwen3-tts-frontend/src/components/HistoryItem.tsx b/qwen3-tts-frontend/src/components/HistoryItem.tsx new file mode 100644 index 0000000..caee2ed --- /dev/null +++ b/qwen3-tts-frontend/src/components/HistoryItem.tsx @@ -0,0 +1,172 @@ +import { memo, useState } from 'react' +import type { Job } from '@/types/job' +import { Badge } from '@/components/ui/badge' +import { Button } from '@/components/ui/button' +import { + AlertDialog, + AlertDialogAction, + AlertDialogCancel, + AlertDialogContent, + AlertDialogDescription, + AlertDialogFooter, + AlertDialogHeader, + AlertDialogTitle, + AlertDialogTrigger, +} from '@/components/ui/alert-dialog' +import { Trash2, AlertCircle, Loader2, Clock, Eye } from 'lucide-react' +import { getRelativeTime, cn } from '@/lib/utils' +import { JobDetailDialog } from '@/components/JobDetailDialog' + +interface HistoryItemProps { + job: Job + onDelete: (id: number) => void + onLoadParams: (job: Job) => void +} + +const jobTypeBadgeVariant = { + custom_voice: 'default' as const, + voice_design: 'secondary' as const, + voice_clone: 'outline' as const, +} + +const jobTypeLabel = { + custom_voice: '自定义音色', + voice_design: '音色设计', + voice_clone: '声音克隆', +} + +const HistoryItem = memo(({ job, onDelete, onLoadParams }: HistoryItemProps) => { + const [detailDialogOpen, setDetailDialogOpen] = useState(false) + + const getLanguageDisplay = (lang: string | undefined) => { + if (!lang || lang === 'Auto') return '自动检测' + return lang + } + + const handleCardClick = (e: React.MouseEvent) => { + if ((e.target as HTMLElement).closest('button')) return + setDetailDialogOpen(true) + } + + return ( +
    +
    + + {jobTypeLabel[job.type]} + +
    + {getRelativeTime(job.created_at)} + +
    +
    + +
    + {job.parameters?.text && ( +
    + 文本内容: + {job.parameters.text} +
    + )} + +
    + 语言: {getLanguageDisplay(job.parameters?.language)} +
    + + {job.type === 'custom_voice' && job.parameters?.speaker && ( +
    + 发音人: {job.parameters.speaker} +
    + )} + + {job.type === 'voice_design' && job.parameters?.instruct && ( +
    + 音色描述: + {job.parameters.instruct} +
    + )} + + {job.type === 'voice_clone' && job.parameters?.ref_text && ( +
    + 参考文本: + {job.parameters.ref_text} +
    + )} +
    + + {job.status === 'processing' && ( +
    + + 处理中... +
    + )} + + {job.status === 'pending' && ( +
    + + 等待处理... +
    + )} + + {job.status === 'failed' && job.error_message && ( +
    + + {job.error_message} +
    + )} + +
    + + + + + + + 确认删除 + + 确定要删除这条历史记录吗？此操作无法撤销。 + + + + 取消 + onDelete(job.id)} + className="bg-destructive text-destructive-foreground hover:bg-destructive/90" + > + 删除 + + + + +
    + + +
    + ) +}, (prevProps, nextProps) => { + return ( + prevProps.job.id === nextProps.job.id && + prevProps.job.status === nextProps.job.status && + prevProps.job.updated_at === nextProps.job.updated_at && + prevProps.job.error_message === nextProps.job.error_message + ) +}) + +HistoryItem.displayName = 'HistoryItem' + +export { HistoryItem } diff --git a/qwen3-tts-frontend/src/components/HistorySidebar.tsx b/qwen3-tts-frontend/src/components/HistorySidebar.tsx new file mode 100644 index 0000000..cb1052c --- /dev/null +++ b/qwen3-tts-frontend/src/components/HistorySidebar.tsx @@ -0,0 +1,113 @@ +import { useRef, useEffect } from 'react' +import { useHistory } from '@/hooks/useHistory' +import { HistoryItem } from '@/components/HistoryItem' +import { ScrollArea } from '@/components/ui/scroll-area' +import { Sheet, SheetContent } from '@/components/ui/sheet' +import { Button } from '@/components/ui/button' +import { Loader2, FileAudio, RefreshCw } from 'lucide-react' +import type { JobType } from '@/types/job' +import { toast } from 'sonner' + +interface HistorySidebarProps { + open: boolean + onOpenChange: (open: boolean) => void + onLoadParams: (jobId: number, jobType: JobType) => Promise +} + +function HistorySidebarContent({ onLoadParams }: Pick) { + const { jobs, loading, loadingMore, hasMore, loadMore, deleteJob, error, retry } = useHistory() + const observerTarget = useRef(null) + + useEffect(() => { + const observer = new IntersectionObserver( + (entries) => { + if (entries[0].isIntersecting && hasMore && !loadingMore) { + loadMore() + } + }, + { threshold: 0.5 } + ) + + if (observerTarget.current) { + observer.observe(observerTarget.current) + } + + return () => observer.disconnect() + }, [hasMore, loadingMore, loadMore]) + + const handleLoadParams = async (jobId: number, jobType: JobType) => { + try { + await onLoadParams(jobId, jobType) + } catch (error) { + toast.error('加载参数失败') + } + } + + return ( +
    +
    +

    历史记录

    +

    共 {jobs.length} 条记录

    +
    + + +
    + {loading ? ( +
    + +
    + ) : error ? ( +
    +

    {error}

    + +
    + ) : jobs.length === 0 ? ( +
    + +

    暂无历史记录

    +

    + 生成语音后，记录将会显示在这里 +

    +
    + ) : ( + <> + {jobs.map((job) => ( + handleLoadParams(job.id, job.type)} + /> + ))} + + {hasMore && ( +
    + +
    + )} + + )} +
    +     +
    + ) +} + +export function HistorySidebar({ open, onOpenChange, onLoadParams }: HistorySidebarProps) { + return ( + <> + + + + + + + + + ) +} diff --git a/qwen3-tts-frontend/src/components/JobDetailDialog.tsx b/qwen3-tts-frontend/src/components/JobDetailDialog.tsx new file mode 100644 index 0000000..39676c2 --- /dev/null +++ b/qwen3-tts-frontend/src/components/JobDetailDialog.tsx @@ -0,0 +1,230 @@ +import { memo } from 'react' +import type { Job } from '@/types/job' +import { + Dialog, + DialogContent, + DialogHeader, + DialogTitle, +} from '@/components/ui/dialog' +import { Badge } from '@/components/ui/badge' +import { Separator } from '@/components/ui/separator' +import { + Collapsible, + CollapsibleContent, + CollapsibleTrigger, +} from '@/components/ui/collapsible' +import { ScrollArea } from '@/components/ui/scroll-area' +import { AudioPlayer } from '@/components/AudioPlayer' +import { ChevronDown, AlertCircle } from 'lucide-react' +import { jobApi } from '@/lib/api' + +interface JobDetailDialogProps { + job: Job | null + open: boolean + onOpenChange: (open: boolean) => void +} + +const jobTypeBadgeVariant = { + custom_voice: 'default' as const, + voice_design: 'secondary' as const, + voice_clone: 'outline' as const, +} + +const jobTypeLabel = { + custom_voice: '自定义音色', + voice_design: '音色设计', + voice_clone: '声音克隆', +} + +const formatTimestamp = (timestamp: string) => { + return new Date(timestamp).toLocaleString('zh-CN', { + year: 'numeric', + month: '2-digit', + day: '2-digit', + hour: '2-digit', + minute: '2-digit', + }) +} + +const getLanguageDisplay = (lang: string | undefined) => { + if (!lang || lang === 'Auto') return '自动检测' + return lang +} + +const formatBooleanDisplay = (value: boolean | undefined) => { + return value ? '是' : '否' +} + +const JobDetailDialog = memo(({ job, open, onOpenChange }: JobDetailDialogProps) => { + if (!job) return null + + const canPlay = job.status === 'completed' + const audioUrl = canPlay ? jobApi.getAudioUrl(job.id, job.audio_url) : '' + + return ( + + + +
    + + + {jobTypeLabel[job.type]} + + #{job.id} + + + {formatTimestamp(job.created_at)} + +
    +     + + +
    +
    +

    基本信息

    +
    + {job.type === 'custom_voice' && job.parameters?.speaker && ( +
    + 发音人: + {job.parameters.speaker} +
    + )} +
    + 语言: + {getLanguageDisplay(job.parameters?.language)} +
    + {job.type === 'voice_clone' && ( + <> +
    + 快速模式: + {formatBooleanDisplay(job.parameters?.x_vector_only_mode)} +
    +
    + 使用缓存: + {formatBooleanDisplay(job.parameters?.use_cache)} +
    + + )} +
    +
    + + + +
    +

    合成文本

    +
    + {job.parameters?.text || 未设置} +
    +
    + + {job.type === 'voice_design' && job.parameters?.instruct && ( + <> + +
    +

    音色描述

    +
    + {job.parameters.instruct} +
    +
    + + )} + + {job.type === 'custom_voice' && job.parameters?.instruct && ( + <> + +
    +

    情绪指导

    +
    + {job.parameters.instruct} +
    +
    + + )} + + {job.type === 'voice_clone' && ( + <> + +
    +

    参考文本

    +
    + {job.parameters?.ref_text || 未提供} +
    +
    + + )} + + + + + + 高级参数 + + + +
    + {job.parameters?.max_new_tokens !== undefined && ( +
    + 最大生成长度: + {job.parameters.max_new_tokens} +
    + )} + {job.parameters?.temperature !== undefined && ( +
    + 温度: + {job.parameters.temperature} +
    + )} + {job.parameters?.top_k !== undefined && ( +
    + Top K: + {job.parameters.top_k} +
    + )} + {job.parameters?.top_p !== undefined && ( +
    + Top P: + {job.parameters.top_p} +
    + )} + {job.parameters?.repetition_penalty !== undefined && ( +
    + 重复惩罚: + {job.parameters.repetition_penalty} +
    + )} +
    +     +     + + {job.status === 'failed' && job.error_message && ( + <> + +
    + +
    +

    错误信息

    +

    {job.error_message}

    +
    +
    + + )} + + {canPlay && ( + <> + +
    +

    音频播放

    + +
    + + )} +
    +     +     +     + ) +}) + +JobDetailDialog.displayName = 'JobDetailDialog' + +export { JobDetailDialog } diff --git a/qwen3-tts-frontend/src/components/LoadingScreen.tsx b/qwen3-tts-frontend/src/components/LoadingScreen.tsx new file mode 100644 index 0000000..3f73eac --- /dev/null +++ b/qwen3-tts-frontend/src/components/LoadingScreen.tsx @@ -0,0 +1,12 @@ +const LoadingScreen = () => { + return ( +
    +
    +
    +

    Loading...

    +
    +
    + ); +}; + +export default LoadingScreen; diff --git a/qwen3-tts-frontend/src/components/LoadingState.tsx b/qwen3-tts-frontend/src/components/LoadingState.tsx new file mode 100644 index 0000000..f1e0de3 --- /dev/null +++ b/qwen3-tts-frontend/src/components/LoadingState.tsx @@ -0,0 +1,24 @@ +import { memo } from 'react' + +interface LoadingStateProps { + elapsedTime: number +} + +const LoadingState = memo(({ elapsedTime }: LoadingStateProps) => { + const displayText = elapsedTime > 60 + ? '生成用时较长,请耐心等待...' + : '正在生成音频,请稍候...' + + return ( +
    +

    {displayText}

    +

    + 已等待 {elapsedTime} 秒 +

    +
    + ) +}) + +LoadingState.displayName = 'LoadingState' + +export { LoadingState } diff --git a/qwen3-tts-frontend/src/components/Navbar.tsx b/qwen3-tts-frontend/src/components/Navbar.tsx new file mode 100644 index 0000000..3583b33 --- /dev/null +++ b/qwen3-tts-frontend/src/components/Navbar.tsx @@ -0,0 +1,50 @@ +import { Menu, LogOut, Users } from 'lucide-react' +import { Link } from 'react-router-dom' +import { Button } from '@/components/ui/button' +import { ThemeToggle } from '@/components/ThemeToggle' +import { useAuth } from '@/contexts/AuthContext' + +interface NavbarProps { + onToggleSidebar?: () => void +} + +export function Navbar({ onToggleSidebar }: NavbarProps) { + const { logout, user } = useAuth() + + return ( + + ) +} diff --git a/qwen3-tts-frontend/src/components/ParamInput.tsx b/qwen3-tts-frontend/src/components/ParamInput.tsx new file mode 100644 index 0000000..4a37e36 --- /dev/null +++ b/qwen3-tts-frontend/src/components/ParamInput.tsx @@ -0,0 +1,55 @@ +import { Label } from '@/components/ui/label' +import { Input } from '@/components/ui/input' +import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from '@/components/ui/tooltip' +import { HelpCircle } from 'lucide-react' +import type { UseFormRegister, FieldValues, Path } from 'react-hook-form' + +interface ParamInputProps { + name: Path + label: string + description: string + tooltip: string + register: UseFormRegister + type?: 'number' + step?: number + min?: number + max?: number +} + +export function ParamInput({ + name, + label, + description, + tooltip, + register, + type = 'number', + step, + min, + max, +}: ParamInputProps) { + return ( +
    +
    + + + + + + + +

    {tooltip}

    +     +     +     +
    + +

    {description}

    +
    + ) +} diff --git a/qwen3-tts-frontend/src/components/PresetSelector.tsx b/qwen3-tts-frontend/src/components/PresetSelector.tsx new file mode 100644 index 0000000..1f23775 --- /dev/null +++ b/qwen3-tts-frontend/src/components/PresetSelector.tsx @@ -0,0 +1,37 @@ +import { memo, useMemo } from 'react' +import { Button } from '@/components/ui/button' + +interface Preset { + label: string + [key: string]: any +} + +interface PresetSelectorProps { + presets: readonly T[] + onSelect: (preset: T) => void +} + +const PresetSelectorInner = ({ presets, onSelect }: PresetSelectorProps) => { + const presetButtons = useMemo(() => { + return presets.map((preset, index) => ( + + )) + }, [presets, onSelect]) + + return ( +
    + {presetButtons} +
    + ) +} + +export const PresetSelector = memo(PresetSelectorInner) as typeof PresetSelectorInner diff --git a/qwen3-tts-frontend/src/components/SuperAdminRoute.tsx b/qwen3-tts-frontend/src/components/SuperAdminRoute.tsx new file mode 100644 index 0000000..1ed6d33 --- /dev/null +++ b/qwen3-tts-frontend/src/components/SuperAdminRoute.tsx @@ -0,0 +1,21 @@ +import { Navigate } from 'react-router-dom' +import { useAuth } from '@/contexts/AuthContext' +import LoadingScreen from '@/components/LoadingScreen' + +export function SuperAdminRoute({ children }: { children: React.ReactNode }) { + const { isAuthenticated, isLoading, user } = useAuth() + + if (isLoading) { + return + } + + if (!isAuthenticated) { + return + } + + if (!user?.is_superuser) { + return + } + + return <>{children} +} diff --git a/qwen3-tts-frontend/src/components/ThemeToggle.tsx b/qwen3-tts-frontend/src/components/ThemeToggle.tsx new file mode 100644 index 0000000..ca766f1 --- /dev/null +++ b/qwen3-tts-frontend/src/components/ThemeToggle.tsx @@ -0,0 +1,17 @@ +import { Sun, Moon } from 'lucide-react' +import { Button } from '@/components/ui/button' +import { useTheme } from '@/contexts/ThemeContext' + +export function ThemeToggle() { + const { theme, toggleTheme } = useTheme() + + return ( + + ) +} diff --git a/qwen3-tts-frontend/src/components/tts/CustomVoiceForm.tsx b/qwen3-tts-frontend/src/components/tts/CustomVoiceForm.tsx new file mode 100644 index 0000000..1ba81ac --- /dev/null +++ b/qwen3-tts-frontend/src/components/tts/CustomVoiceForm.tsx @@ -0,0 +1,276 @@ +import { useForm } from 'react-hook-form' +import { zodResolver } from '@hookform/resolvers/zod' +import * as z from 'zod' +import { useEffect, useState, forwardRef, useImperativeHandle, useMemo } from 'react' +import { Button } from '@/components/ui/button' +import { Input } from '@/components/ui/input' +import { Textarea } from '@/components/ui/textarea' +import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from '@/components/ui/select' +import { Collapsible, CollapsibleContent, CollapsibleTrigger } from '@/components/ui/collapsible' +import { Label } from '@/components/ui/label' +import { ChevronDown } from 'lucide-react' +import { toast } from 'sonner' +import { ttsApi, jobApi } from '@/lib/api' +import { useJobPolling } from '@/hooks/useJobPolling' +import { LoadingState } from '@/components/LoadingState' +import { AudioPlayer } from '@/components/AudioPlayer' +import { PresetSelector } from '@/components/PresetSelector' +import { ParamInput } from '@/components/ParamInput' +import { PRESET_INSTRUCTS, ADVANCED_PARAMS_INFO } from '@/lib/constants' +import type { Language, Speaker } from '@/types/tts' + +const formSchema = z.object({ + text: z.string().min(1, '请输入要合成的文本').max(5000, '文本长度不能超过 5000 字符'), + language: z.string().min(1, '请选择语言'), + speaker: z.string().min(1, '请选择发音人'), + instruct: z.string().optional(), + max_new_tokens: z.number().min(1).max(10000).optional(), + temperature: z.number().min(0).max(2).optional(), + top_k: z.number().min(1).max(100).optional(), + top_p: z.number().min(0).max(1).optional(), + repetition_penalty: z.number().min(0).max(2).optional(), +}) + +type FormData = z.infer + +export interface CustomVoiceFormHandle { + loadParams: (params: any) => void +} + +const CustomVoiceForm = forwardRef((_props, ref) => { + const [languages, setLanguages] = useState([]) + const [speakers, setSpeakers] = useState([]) + const [isLoading, setIsLoading] = useState(false) + const [advancedOpen, setAdvancedOpen] = useState(false) + + const { currentJob, isPolling, isCompleted, startPolling, elapsedTime } = useJobPolling() + + const { + register, + handleSubmit, + setValue, + watch, + formState: { errors }, + } = useForm({ + resolver: zodResolver(formSchema), + defaultValues: { + text: '', + language: 'Auto', + speaker: '', + instruct: '', + max_new_tokens: 2048, + temperature: 0.3, + top_k: 20, + top_p: 0.7, + repetition_penalty: 1.05, + }, + }) + + useImperativeHandle(ref, () => ({ + loadParams: (params: any) => { + setValue('text', params.text || '') + setValue('language', params.language || 'Auto') + setValue('speaker', params.speaker || '') + setValue('instruct', params.instruct || '') + setValue('max_new_tokens', params.max_new_tokens || 2048) + setValue('temperature', params.temperature || 0.3) + setValue('top_k', params.top_k || 20) + setValue('top_p', params.top_p || 0.7) + setValue('repetition_penalty', params.repetition_penalty || 1.05) + } + })) + + useEffect(() => { + const fetchData = async () => { + try { + const [langs, spks] = await Promise.all([ + ttsApi.getLanguages(), + ttsApi.getSpeakers(), + ]) + setLanguages(langs) + setSpeakers(spks) + } catch (error) { + toast.error('加载数据失败') + } + } + fetchData() + }, []) + + + const onSubmit = async (data: FormData) => { + setIsLoading(true) + try { + const result = await ttsApi.createCustomVoiceJob(data) + toast.success('任务已创建') + startPolling(result.job_id) + } catch (error) { + toast.error('创建任务失败') + } finally { + setIsLoading(false) + } + } + + const memoizedAudioUrl = useMemo(() => { + if (!currentJob) return '' + return jobApi.getAudioUrl(currentJob.id, currentJob.audio_url) + }, [currentJob?.id, currentJob?.audio_url]) + + return ( +
    +
    + + + {errors.language && ( +

    {errors.language.message}

    + )} +
    + +
    + + + {errors.speaker && ( +

    {errors.speaker.message}

    + )} +
    + +
    + +