e9d7f8832a
- Backend: FastAPI + SQLAlchemy + Celery (Python 3.11+) - Frontend: Vue 3 + TypeScript + Pinia + Tailwind - Admin Frontend: separate Vue 3 app for management - Docker Compose: 9 services orchestration - Specs: design prototypes, memory system PRD, product roadmap Cleanup performed: - Removed temporary debug scripts from backend root - Removed deprecated admin_app.py (embedded UI) - Removed duplicate docs from admin-frontend - Updated .gitignore for Vite cache and egg-info
67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
"""EdgeTTS 免费语音生成适配器。"""
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import time
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import edge_tts
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from app.core.logging import get_logger
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from app.services.adapters.base import BaseAdapter
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from app.services.adapters.registry import AdapterRegistry
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logger = get_logger(__name__)
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# 默认中文女声 (晓晓)
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DEFAULT_VOICE = "zh-CN-XiaoxiaoNeural"
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@AdapterRegistry.register("tts", "edge_tts")
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class EdgeTTSAdapter(BaseAdapter[bytes]):
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"""EdgeTTS 语音生成适配器 (Free)。
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不需要 API Key。
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"""
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adapter_type = "tts"
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adapter_name = "edge_tts"
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async def execute(self, text: str, **kwargs) -> bytes:
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"""生成语音。"""
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# 支持动态指定音色
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voice = kwargs.get("voice") or self.config.model or DEFAULT_VOICE
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start_time = time.time()
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logger.info("edge_tts_generate_start", text_length=len(text), voice=voice)
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# EdgeTTS 只能输出到文件，我们需要用临时文件周转一下
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# 或者直接 capture stream (communicate) 但 edge-tts 库主要面向文件
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# 优化: 使用 communicate 直接获取 bytes，无需磁盘IO
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communicate = edge_tts.Communicate(text, voice)
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audio_data = b""
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async for chunk in communicate.stream():
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if chunk["type"] == "audio":
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audio_data += chunk["data"]
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elapsed = time.time() - start_time
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logger.info(
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"edge_tts_generate_success",
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elapsed_seconds=round(elapsed, 2),
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audio_size_bytes=len(audio_data),
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)
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return audio_data
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async def health_check(self) -> bool:
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"""检查 EdgeTTS 是否可用 (网络连通性)。"""
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try:
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# 简单生成一个词
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await self.execute("Hi")
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return True
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except Exception:
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return False
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@property
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def estimated_cost(self) -> float:
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return 0.0 # Free!
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