ARIA-AGENT/xtts/whisper/bridge.py

295 lines
12 KiB
Python

#!/usr/bin/env python3
"""
ARIA Whisper Bridge — laeuft auf der Gamebox (RTX 3060).
Empfaengt stt_request via RVS → FFmpeg-Konvertierung → faster-whisper auf GPU
→ sendet stt_response zurueck an die aria-bridge.
Env:
RVS_HOST, RVS_PORT, RVS_TLS, RVS_TLS_FALLBACK, RVS_TOKEN
WHISPER_MODEL Default: small
WHISPER_DEVICE Default: cuda
WHISPER_COMPUTE_TYPE Default: float16
WHISPER_LANGUAGE Default: de
"""
import asyncio
import base64
import json
import logging
import os
import subprocess
import sys
import tempfile
import time
from typing import Optional
import numpy as np
import websockets
from faster_whisper import WhisperModel
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(message)s",
datefmt="%H:%M:%S",
)
logger = logging.getLogger("whisper-bridge")
RVS_HOST = os.getenv("RVS_HOST", "").strip()
RVS_PORT = int(os.getenv("RVS_PORT", "443"))
RVS_TLS = os.getenv("RVS_TLS", "true").lower() == "true"
RVS_TLS_FALLBACK = os.getenv("RVS_TLS_FALLBACK", "true").lower() == "true"
RVS_TOKEN = os.getenv("RVS_TOKEN", "").strip()
WHISPER_MODEL = os.getenv("WHISPER_MODEL", "small")
WHISPER_DEVICE = os.getenv("WHISPER_DEVICE", "cuda")
WHISPER_COMPUTE_TYPE = os.getenv("WHISPER_COMPUTE_TYPE", "float16")
WHISPER_LANGUAGE = os.getenv("WHISPER_LANGUAGE", "de")
ALLOWED_MODELS = {"tiny", "base", "small", "medium", "large-v3"}
class WhisperRunner:
"""Haelt das Whisper-Modell. Hot-Swap bei Konfig-Wechsel via ensure_loaded()."""
def __init__(self) -> None:
self.model_size: str = WHISPER_MODEL
self.model: Optional[WhisperModel] = None
self._lock = asyncio.Lock()
def _load_blocking(self, size: str) -> None:
logger.info(
"Lade Whisper '%s' (device=%s, compute=%s)",
size, WHISPER_DEVICE, WHISPER_COMPUTE_TYPE,
)
t0 = time.time()
self.model = WhisperModel(
size, device=WHISPER_DEVICE, compute_type=WHISPER_COMPUTE_TYPE,
)
self.model_size = size
logger.info("Whisper '%s' geladen in %.1fs", size, time.time() - t0)
async def ensure_loaded(self, desired_size: str) -> None:
if desired_size not in ALLOWED_MODELS:
logger.warning("Ungueltiges Whisper-Modell '%s' — nutze %s", desired_size, WHISPER_MODEL)
desired_size = WHISPER_MODEL
async with self._lock:
if self.model is not None and self.model_size == desired_size:
return
loop = asyncio.get_event_loop()
await loop.run_in_executor(None, self._load_blocking, desired_size)
async def transcribe(self, audio: np.ndarray, language: str) -> tuple[str, float]:
if self.model is None:
return "", 0.0
def _run():
segments, info = self.model.transcribe(
audio, language=language, beam_size=5, vad_filter=True,
)
text = " ".join(seg.text.strip() for seg in segments)
return text, info.duration
loop = asyncio.get_event_loop()
return await loop.run_in_executor(None, _run)
def ffmpeg_to_float32(audio_b64: str, mime_type: str) -> np.ndarray:
"""Dekodiert beliebiges Audio-Format → 16kHz mono float32 PCM."""
if "mp4" in mime_type or "m4a" in mime_type or "aac" in mime_type:
ext = ".mp4"
elif "wav" in mime_type:
ext = ".wav"
elif "ogg" in mime_type or "opus" in mime_type:
ext = ".ogg"
else:
ext = ".bin"
in_fh = tempfile.NamedTemporaryFile(suffix=ext, delete=False)
try:
in_fh.write(base64.b64decode(audio_b64))
in_fh.close()
out_path = in_fh.name + ".raw"
cmd = ["ffmpeg", "-y", "-i", in_fh.name, "-ar", "16000", "-ac", "1", "-f", "f32le", out_path]
result = subprocess.run(cmd, capture_output=True, timeout=30)
if result.returncode != 0:
logger.error("FFmpeg Fehler: %s", result.stderr.decode(errors="replace")[:300])
return np.zeros(0, dtype=np.float32)
try:
return np.fromfile(out_path, dtype=np.float32)
finally:
try:
os.unlink(out_path)
except OSError:
pass
finally:
try:
os.unlink(in_fh.name)
except OSError:
pass
async def _send(ws, mtype: str, payload: dict) -> None:
try:
await ws.send(json.dumps({
"type": mtype,
"payload": payload,
"timestamp": int(time.time() * 1000),
}))
except Exception as e:
logger.warning("Send fehlgeschlagen (%s): %s", mtype, e)
async def handle_stt_request(ws, payload: dict, runner: WhisperRunner) -> None:
request_id = payload.get("requestId", "")
audio_b64 = payload.get("audio", "")
mime_type = payload.get("mimeType", "audio/mp4")
model = payload.get("model") or WHISPER_MODEL
language = payload.get("language") or WHISPER_LANGUAGE
if not audio_b64:
await _send(ws, "stt_response", {"requestId": request_id, "error": "no-audio"})
return
try:
t_load = time.time()
# Falls Modell noch nicht geladen (Race-Condition: stt_request vor config)
# → Status-Broadcast loading→ready damit der App-Banner aufpoppt
needs_load = runner.model is None or runner.model_size != model
if needs_load:
await _broadcast_status(ws, "loading", model=model)
await runner.ensure_loaded(model)
load_ms = int((time.time() - t_load) * 1000)
if needs_load:
await _broadcast_status(ws, "ready",
model=runner.model_size,
loadSeconds=load_ms / 1000.0)
audio = ffmpeg_to_float32(audio_b64, mime_type)
if audio.size == 0:
await _send(ws, "stt_response", {"requestId": request_id, "error": "ffmpeg-failed"})
return
duration_s = len(audio) / 16000.0
logger.info("STT-Request: %.1fs Audio, model=%s, lang=%s", duration_s, runner.model_size, language)
t_stt = time.time()
text, detected_duration = await runner.transcribe(audio, language)
stt_ms = int((time.time() - t_stt) * 1000)
logger.info("STT-Ergebnis (%dms): '%s'", stt_ms, text[:100])
await _send(ws, "stt_response", {
"requestId": request_id,
"text": text.strip(),
"durationS": duration_s,
"sttMs": stt_ms,
"loadMs": load_ms,
"model": runner.model_size,
})
except Exception as e:
logger.exception("STT-Request fehlgeschlagen")
await _send(ws, "stt_response", {
"requestId": request_id,
"error": str(e)[:200],
})
async def _broadcast_status(ws, state: str, **extra) -> None:
"""Sendet service_status fuer das Whisper-Modul.
state: 'loading' | 'ready' | 'error'."""
payload = {"service": "whisper", "state": state}
payload.update(extra)
await _send(ws, "service_status", payload)
async def run_loop(runner: WhisperRunner) -> None:
use_tls = RVS_TLS
retry_s = 2
tls_fallback_tried = False
while True:
scheme = "wss" if use_tls else "ws"
url = f"{scheme}://{RVS_HOST}:{RVS_PORT}/ws?token={RVS_TOKEN}"
masked = url.replace(RVS_TOKEN, "***") if RVS_TOKEN else url
try:
logger.info("Verbinde zu RVS: %s", masked)
# max_size 50MB damit grosse stt_request (Voice-Cloning-WAVs als
# base64 koennen mehrere MB werden) nicht das Frame-Limit sprengen
# und die Verbindung mit 1009 'message too big' killen.
async with websockets.connect(url, ping_interval=20, ping_timeout=10, max_size=50 * 1024 * 1024) as ws:
logger.info("RVS verbunden")
retry_s = 2
tls_fallback_tried = False
# KEIN initialer Preload. Der aria-bridge broadcastet kurz nach
# RVS-Connect die persistierte Config (whisperModel) — wir laden
# erst wenn der drinsteht, sonst wuerde 2x geladen werden
# (small als ENV-Default + dann das echte Modell).
# Wenn ein stt_request schneller kommt als die Config: ensure_loaded
# im Handler greift dann ein und laedt das angeforderte Modell.
if runner.model is not None:
# Wir sind reconnectet — Modell schon im RAM, einfach 'ready'
asyncio.create_task(_broadcast_status(ws, "ready", model=runner.model_size))
async for raw in ws:
try:
msg = json.loads(raw)
except Exception:
continue
mtype = msg.get("type", "")
payload = msg.get("payload", {}) or {}
if mtype == "stt_request":
req_id = payload.get("requestId", "?")
audio_len = len(payload.get("audio", ""))
logger.info("stt_request empfangen (id=%s, %dKB Audio)",
req_id[:8] if req_id != "?" else "?", audio_len // 1365)
asyncio.create_task(handle_stt_request(ws, payload, runner))
elif mtype == "config":
new_model = payload.get("whisperModel") or WHISPER_MODEL
# Laden wenn (a) noch nix geladen, oder (b) Modell wechselt
needs_load = (runner.model is None) or (new_model != runner.model_size)
if needs_load:
logger.info("Config-Broadcast: Whisper-Modell -> %s%s",
new_model,
" (initial)" if runner.model is None else " (Wechsel)")
async def _swap_with_status(target):
await _broadcast_status(ws, "loading", model=target)
try:
t0 = time.time()
await runner.ensure_loaded(target)
elapsed = time.time() - t0
await _broadcast_status(ws, "ready",
model=runner.model_size,
loadSeconds=elapsed)
except Exception as e:
await _broadcast_status(ws, "error", error=str(e)[:200])
asyncio.create_task(_swap_with_status(new_model))
else:
# Alle anderen Nachrichten debug-loggen — hilft beim Diagnostizieren,
# ob stt_request ueberhaupt durch den RVS kommt
logger.debug("Unbeachteter Type: %s", mtype)
except Exception as e:
logger.warning("Verbindung verloren: %s", e)
if use_tls and RVS_TLS_FALLBACK and not tls_fallback_tried:
logger.info("TLS-Verbindung fehlgeschlagen — Fallback auf ws://")
use_tls = False
tls_fallback_tried = True
continue
await asyncio.sleep(min(retry_s, 30))
retry_s = min(retry_s * 2, 30)
async def main() -> None:
if not RVS_HOST:
logger.error("RVS_HOST ist nicht gesetzt — Abbruch")
sys.exit(1)
runner = WhisperRunner()
await run_loop(runner)
if __name__ == "__main__":
try:
asyncio.run(main())
except KeyboardInterrupt:
sys.exit(0)