1100 lines
40 KiB
Python
1100 lines
40 KiB
Python
"""
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ARIA Voice Bridge — Hauptmodul.
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Verbindet die Android App (via RVS) mit ARIA-Core und bietet
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lokale Spracheingabe (Wake-Word + Whisper STT) und Sprachausgabe (Piper TTS).
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Nachrichtenfluss:
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App → RVS → Bridge → aria-core
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aria-core → Bridge → RVS → App
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→ Lautsprecher (TTS)
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Stimmen:
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- Ramona (de_DE-ramona-low) — Alltag, Gespraeche
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- Thorsten (de_DE-thorsten-high) — epische Momente, Alarme
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"""
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from __future__ import annotations
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import asyncio
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import base64
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import json
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import logging
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import os
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import signal
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import ssl
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import sys
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import tempfile
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import uuid
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import wave
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from pathlib import Path
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from typing import Optional
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import numpy as np
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import sounddevice as sd
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import websockets
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from faster_whisper import WhisperModel
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from openwakeword.model import Model as WakeWordModel
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from piper import PiperVoice
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from modes import Mode, detect_mode_switch, should_speak
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# ── Logging ──────────────────────────────────────────────────
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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stream=sys.stdout,
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)
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logger = logging.getLogger("aria-bridge")
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# ── Konfiguration ───────────────────────────────────────────
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CONFIG_PATH = Path("/config/aria.env")
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VOICES_DIR = Path("/voices")
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CORE_WS_URL = os.getenv("ARIA_CORE_WS", "ws://127.0.0.1:18789")
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CORE_AUTH_TOKEN = os.getenv("ARIA_AUTH_TOKEN", "") # OpenClaw Gateway Token
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RVS_HOST = os.getenv("RVS_HOST", "") # z.B. rvs.hackersoft.de
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RVS_PORT = os.getenv("RVS_PORT", "443") # Port des RVS
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RVS_TLS = os.getenv("RVS_TLS", "true") # true = wss://, false = ws://
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RVS_TLS_FALLBACK = os.getenv("RVS_TLS_FALLBACK", "true") # Bei TLS-Fehler ws:// versuchen
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RVS_TOKEN = os.getenv("RVS_TOKEN", "") # Pairing-Token (gleich wie in der App)
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WHISPER_MODEL = os.getenv("WHISPER_MODEL", "small")
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WHISPER_LANGUAGE = os.getenv("WHISPER_LANGUAGE", "de")
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# Audio-Parameter
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SAMPLE_RATE = 16000
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CHANNELS = 1
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BLOCK_SIZE = 1280 # 80ms bei 16kHz — gut fuer Wake-Word-Erkennung
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RECORD_SECONDS = 8 # Max. Aufnahmedauer nach Wake-Word
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# Epische Trigger — bei diesen Woertern spricht Thorsten
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EPIC_TRIGGERS = [
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"deploy",
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"erfolgreich",
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"alarm",
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"so soll es sein",
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"kritisch",
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"server down",
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"sicherheitswarnung",
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"ticket geloest",
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"aufgabe abgeschlossen",
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]
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def load_config() -> dict[str, str]:
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"""Laedt Konfiguration aus /config/aria.env."""
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config: dict[str, str] = {}
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if CONFIG_PATH.exists():
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for line in CONFIG_PATH.read_text().splitlines():
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line = line.strip()
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if not line or line.startswith("#"):
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continue
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if "=" in line:
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key, _, value = line.partition("=")
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config[key.strip()] = value.strip()
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logger.info("Konfiguration geladen aus %s", CONFIG_PATH)
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else:
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logger.warning("Keine Konfiguration gefunden: %s", CONFIG_PATH)
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return config
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# ── Voice Engine ─────────────────────────────────────────────
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class VoiceEngine:
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"""Verwaltet Piper TTS mit zwei Stimmen: Ramona und Thorsten."""
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def __init__(self, voices_dir: Path) -> None:
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self.voices_dir = voices_dir
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self.voices: dict[str, PiperVoice] = {}
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def initialize(self) -> None:
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"""Laedt die Piper-Stimmen aus dem Voices-Verzeichnis."""
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voice_configs = {
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"ramona": "de_DE-ramona-low",
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"thorsten": "de_DE-thorsten-high",
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}
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for name, model_name in voice_configs.items():
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model_path = self.voices_dir / f"{model_name}.onnx"
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config_path = self.voices_dir / f"{model_name}.onnx.json"
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if not model_path.exists():
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logger.error("Stimme nicht gefunden: %s", model_path)
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continue
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self.voices[name] = PiperVoice.load(
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str(model_path),
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config_path=str(config_path) if config_path.exists() else None,
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)
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logger.info("Stimme geladen: %s (%s)", name, model_name)
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if not self.voices:
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logger.error("Keine Stimmen geladen — TTS deaktiviert")
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def select_voice(
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self, text: str, requested_voice: Optional[str] = None
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) -> str:
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"""Waehlt die passende Stimme basierend auf Text oder Anfrage.
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Thorsten wird bei epischen Triggern verwendet,
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sonst Ramona als Standardstimme.
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Args:
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text: Der zu sprechende Text (fuer Epic-Trigger-Erkennung).
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requested_voice: Explizit angeforderte Stimme ("ramona" | "thorsten").
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Returns:
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Name der gewaehlten Stimme.
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"""
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if requested_voice and requested_voice in self.voices:
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return requested_voice
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# Epische Trigger pruefen
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text_lower = text.lower()
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for trigger in EPIC_TRIGGERS:
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if trigger in text_lower:
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logger.info("Epischer Trigger erkannt: '%s' — Thorsten spricht", trigger)
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return "thorsten"
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return "ramona"
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def synthesize(self, text: str, voice_name: str = "ramona") -> Optional[bytes]:
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"""Erzeugt Audio-Daten aus Text mit der gewaehlten Stimme.
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Args:
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text: Der zu sprechende Text.
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voice_name: Name der Stimme ("ramona" oder "thorsten").
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Returns:
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WAV-Audiodaten als bytes oder None bei Fehler.
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"""
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voice = self.voices.get(voice_name)
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if voice is None:
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logger.error("Stimme '%s' nicht verfuegbar", voice_name)
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return None
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try:
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# Piper gibt PCM-Samples zurueck, wir schreiben sie als WAV
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
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tmp_path = tmp.name
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with wave.open(tmp_path, "wb") as wav_file:
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voice.synthesize(text, wav_file)
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audio_data = Path(tmp_path).read_bytes()
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Path(tmp_path).unlink(missing_ok=True)
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logger.info(
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"TTS: %d bytes erzeugt mit %s — '%s'",
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len(audio_data),
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voice_name,
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text[:60],
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)
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return audio_data
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except Exception:
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logger.exception("TTS-Fehler bei Stimme '%s'", voice_name)
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return None
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def speak(self, text: str, requested_voice: Optional[str] = None) -> None:
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"""Spricht den Text ueber das Audio-Geraet.
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Waehlt automatisch die passende Stimme und gibt das Audio aus.
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Args:
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text: Der zu sprechende Text.
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requested_voice: Optionale explizite Stimmenwahl.
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"""
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voice_name = self.select_voice(text, requested_voice)
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audio_data = self.synthesize(text, voice_name)
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if audio_data is None:
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return
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try:
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# WAV-Daten lesen und ueber sounddevice abspielen
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with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
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tmp.write(audio_data)
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tmp_path = tmp.name
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with wave.open(tmp_path, "rb") as wf:
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frames = wf.readframes(wf.getnframes())
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sample_width = wf.getsampwidth()
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rate = wf.getframerate()
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channels = wf.getnchannels()
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Path(tmp_path).unlink(missing_ok=True)
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# Numpy-Array aus PCM-Daten
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dtype_map = {1: np.int8, 2: np.int16, 4: np.int32}
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dtype = dtype_map.get(sample_width, np.int16)
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audio_array = np.frombuffer(frames, dtype=dtype)
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if channels > 1:
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audio_array = audio_array.reshape(-1, channels)
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sd.play(audio_array, samplerate=rate)
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sd.wait() # Warten bis Wiedergabe fertig
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except Exception:
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logger.exception("Audio-Wiedergabe fehlgeschlagen")
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# ── STT Engine ───────────────────────────────────────────────
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class STTEngine:
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"""Whisper Speech-to-Text — laeuft komplett lokal."""
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def __init__(self, model_size: str = "small", language: str = "de") -> None:
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self.model_size = model_size
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self.language = language
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self.model: Optional[WhisperModel] = None
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def initialize(self) -> None:
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"""Laedt das Whisper-Modell."""
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logger.info(
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"Lade Whisper-Modell '%s' (Sprache: %s)...",
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self.model_size,
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self.language,
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)
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self.model = WhisperModel(self.model_size, device="cpu", compute_type="int8")
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logger.info("Whisper-Modell geladen")
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def transcribe(self, audio_data: np.ndarray) -> str:
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"""Transkribiert Audio-Daten zu Text.
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Args:
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audio_data: NumPy-Array mit Audio (float32, 16kHz, mono).
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Returns:
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Erkannter Text oder leerer String.
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"""
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if self.model is None:
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logger.error("Whisper-Modell nicht initialisiert")
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return ""
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try:
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# Audio als float32 normalisieren
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if audio_data.dtype != np.float32:
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audio_data = audio_data.astype(np.float32) / 32768.0
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segments, info = self.model.transcribe(
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audio_data,
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language=self.language,
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beam_size=5,
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vad_filter=True,
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)
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text = " ".join(segment.text.strip() for segment in segments)
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logger.info("STT: '%s' (Sprache: %s, Dauer: %.1fs)", text, info.language, info.duration)
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return text
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except Exception:
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logger.exception("STT-Fehler")
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return ""
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# ── Wake-Word Erkennung ──────────────────────────────────────
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class WakeWordDetector:
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"""Erkennt das Wake-Word im Audio-Stream.
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Nutzt ein Custom-Modell aus /voices/wake_aria.onnx falls vorhanden,
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sonst das eingebaute 'hey_jarvis' als Fallback.
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"""
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CUSTOM_MODEL_PATH = "/voices/wake_aria.onnx"
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FALLBACK_MODEL = "hey_jarvis"
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THRESHOLD = 0.5
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def __init__(self) -> None:
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self.model: Optional[WakeWordModel] = None
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self.wake_word_key: str = ""
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def initialize(self) -> None:
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"""Laedt das Wake-Word-Modell.
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Hinweis: WakeWordModel() wird OHNE Argumente aufgerufen.
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Aeltere openwakeword-Versionen leiten unbekannte kwargs
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an AudioFeatures weiter, was zum Crash fuehrt.
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"""
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logger.info("Lade Wake-Word-Modell...")
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# Alle eingebauten Modelle laden (ohne kwargs — Kompatibilitaet!)
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self.model = WakeWordModel()
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# Verfuegbare Modelle ermitteln
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available = list(self.model.models.keys()) if hasattr(self.model, 'models') else []
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logger.info("Verfuegbare Wake-Words: %s", ", ".join(available) if available else "(keine)")
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# Bestes Modell auswaehlen
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if self.FALLBACK_MODEL in available:
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self.wake_word_key = self.FALLBACK_MODEL
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elif available:
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self.wake_word_key = available[0]
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else:
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self.wake_word_key = self.FALLBACK_MODEL
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logger.info("Wake-Word aktiv: '%s'", self.wake_word_key)
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logger.info(
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"Tipp: Custom 'aria' Wake-Word trainieren → "
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"https://github.com/dscripka/openWakeWord#training-new-models"
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)
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def detect(self, audio_chunk: np.ndarray) -> bool:
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"""Prueft ob das Wake-Word im Audio-Chunk enthalten ist.
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Args:
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audio_chunk: Audio-Daten (int16, 16kHz).
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Returns:
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True wenn Wake-Word erkannt wurde.
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"""
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if self.model is None:
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return False
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prediction = self.model.predict(audio_chunk)
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# openwakeword gibt Scores pro Modell zurueck
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for key, score in prediction.items():
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if score > self.THRESHOLD:
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logger.info("Wake-Word '%s' erkannt! (Score: %.2f)", key, score)
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return True
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return False
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# ── Audio-Aufnahme ───────────────────────────────────────────
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def record_audio(duration: float = RECORD_SECONDS) -> np.ndarray:
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"""Nimmt Audio vom Mikrofon auf.
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Args:
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duration: Aufnahmedauer in Sekunden.
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Returns:
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NumPy-Array mit Audio-Daten (int16, 16kHz, mono).
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"""
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logger.info("Aufnahme laeuft... (%d Sekunden)", duration)
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audio = sd.rec(
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int(duration * SAMPLE_RATE),
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samplerate=SAMPLE_RATE,
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channels=CHANNELS,
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dtype="int16",
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)
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sd.wait()
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logger.info("Aufnahme beendet")
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return audio.flatten()
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# ── Bridge Hauptklasse ───────────────────────────────────────
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class ARIABridge:
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"""ARIA Voice Bridge — verbindet App (via RVS) und Sprache mit ARIA-Core.
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Drei parallele Aufgaben:
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1. connect_to_core() — WebSocket zu aria-core (lokal)
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2. connect_to_rvs() — WebSocket zum RVS (oeffentlich, fuer die App)
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3. audio_loop() — Wake-Word + STT (lokales Mikrofon)
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"""
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def __init__(self) -> None:
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self.config = load_config()
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self.ws_url = self.config.get("ARIA_CORE_WS", CORE_WS_URL)
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self.core_auth_token = self.config.get("ARIA_AUTH_TOKEN", CORE_AUTH_TOKEN)
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self._req_id_counter = 0
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self._session_key = "aria-bridge" # Feste Session fuer die Bridge
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# RVS-Verbindungsinfo aus Config oder Env
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rvs_host = self.config.get("RVS_HOST", RVS_HOST)
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rvs_port = self.config.get("RVS_PORT", RVS_PORT)
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rvs_tls = self.config.get("RVS_TLS", RVS_TLS).lower() == "true"
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self.rvs_tls_fallback = self.config.get("RVS_TLS_FALLBACK", RVS_TLS_FALLBACK).lower() == "true"
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self.rvs_token = self.config.get("RVS_TOKEN", RVS_TOKEN)
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# URLs zusammenbauen (primaer + fallback)
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if rvs_host:
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proto = "wss" if rvs_tls else "ws"
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self.rvs_url = f"{proto}://{rvs_host}:{rvs_port}"
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# Fallback-URL (ohne TLS) nur wenn TLS aktiv und Fallback erlaubt
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if rvs_tls and self.rvs_tls_fallback:
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self.rvs_url_fallback = f"ws://{rvs_host}:{rvs_port}"
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else:
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self.rvs_url_fallback = ""
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else:
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self.rvs_url = ""
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self.rvs_url_fallback = ""
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self.current_mode = Mode.NORMAL
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self.running = False
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# Komponenten
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self.voice_engine = VoiceEngine(VOICES_DIR)
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self.stt_engine = STTEngine(
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model_size=self.config.get("WHISPER_MODEL", WHISPER_MODEL),
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language=self.config.get("WHISPER_LANGUAGE", WHISPER_LANGUAGE),
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)
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self.wake_word = WakeWordDetector()
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# WebSocket-Verbindungen
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self.ws_core: Optional[websockets.WebSocketClientProtocol] = None
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self.ws_rvs: Optional[websockets.WebSocketClientProtocol] = None
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def initialize(self) -> None:
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"""Initialisiert alle Komponenten.
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Audio-Komponenten (TTS, STT, Wake-Word) sind optional —
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wenn kein Audio-Geraet vorhanden ist (z.B. VM ohne Soundkarte),
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laeuft die Bridge trotzdem als reiner RVS-Relay.
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"""
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logger.info("=" * 50)
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logger.info("ARIA Voice Bridge startet...")
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logger.info("=" * 50)
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# Voice-Engine IMMER laden — rendert Audio fuer die App (auch ohne Soundkarte)
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self.voice_engine.initialize()
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# Audio-Hardware pruefen (fuer lokales Mikro/Lautsprecher)
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self.audio_available = False
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try:
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sd.query_devices()
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self.audio_available = True
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logger.info("Audio-Geraet gefunden — Wake-Word und lokale TTS aktiv")
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self.stt_engine.initialize()
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self.wake_word.initialize()
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except (sd.PortAudioError, Exception):
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logger.warning("Kein Audio-Geraet — Wake-Word und lokale TTS deaktiviert")
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logger.info("Piper TTS rendert Audio fuer die App (via RVS)")
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logger.info("Alle Komponenten initialisiert")
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logger.info("aria-core: %s", self.ws_url)
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if self.rvs_url and self.rvs_token:
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logger.info("RVS: %s (Token: %s...)", self.rvs_url, self.rvs_token[:8])
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else:
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logger.warning("RVS nicht konfiguriert — App-Verbindung deaktiviert")
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logger.warning(" Setze RVS_HOST, RVS_PORT, RVS_TOKEN in /config/aria.env")
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logger.info("Modus: %s %s", self.current_mode.config.emoji, self.current_mode.config.name)
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# ── aria-core Verbindung (OpenClaw Gateway Protokoll) ───
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|
def _next_req_id(self) -> str:
|
|
"""Erzeugt eine eindeutige Request-ID fuer das OpenClaw-Protokoll."""
|
|
self._req_id_counter += 1
|
|
return f"bridge-{self._req_id_counter}"
|
|
|
|
async def _openclaw_handshake(self, ws: websockets.WebSocketClientProtocol) -> bool:
|
|
"""Fuehrt den OpenClaw Gateway Handshake durch.
|
|
|
|
1. Wartet auf connect.challenge Event vom Gateway
|
|
2. Sendet connect Request mit Auth-Token
|
|
3. Wartet auf hello-ok Response
|
|
|
|
Returns:
|
|
True wenn Handshake erfolgreich, sonst False.
|
|
"""
|
|
try:
|
|
# Schritt 1: Auf Challenge warten (max 10s)
|
|
raw = await asyncio.wait_for(ws.recv(), timeout=10.0)
|
|
challenge = json.loads(raw)
|
|
|
|
if challenge.get("type") != "event" or challenge.get("event") != "connect.challenge":
|
|
logger.error("[core] Unerwartete erste Nachricht: %s", raw[:200])
|
|
return False
|
|
|
|
nonce = challenge.get("payload", {}).get("nonce", "")
|
|
logger.info("[core] Challenge empfangen (nonce: %s...)", nonce[:8] if nonce else "?")
|
|
|
|
# Schritt 2: Connect Request senden
|
|
connect_req = {
|
|
"type": "req",
|
|
"id": self._next_req_id(),
|
|
"method": "connect",
|
|
"params": {
|
|
"minProtocol": 3,
|
|
"maxProtocol": 3,
|
|
"client": {
|
|
"id": "gateway-client",
|
|
"version": "0.0.3",
|
|
"platform": "linux",
|
|
"mode": "backend",
|
|
},
|
|
"role": "operator",
|
|
"scopes": ["operator.read", "operator.write"],
|
|
"caps": ["voice"],
|
|
"commands": [],
|
|
"permissions": {},
|
|
"auth": {"token": self.core_auth_token} if self.core_auth_token else {},
|
|
"locale": "de-DE",
|
|
"userAgent": "aria-bridge/0.0.3",
|
|
},
|
|
}
|
|
await ws.send(json.dumps(connect_req))
|
|
logger.info("[core] Connect-Request gesendet")
|
|
|
|
# Schritt 3: Auf hello-ok warten (max 10s)
|
|
raw = await asyncio.wait_for(ws.recv(), timeout=10.0)
|
|
response = json.loads(raw)
|
|
|
|
if response.get("type") == "res" and response.get("ok"):
|
|
logger.info("[core] Handshake erfolgreich — hello-ok empfangen")
|
|
return True
|
|
else:
|
|
error = response.get("error", response)
|
|
logger.error("[core] Handshake fehlgeschlagen: %s", json.dumps(error)[:200])
|
|
return False
|
|
|
|
except asyncio.TimeoutError:
|
|
logger.error("[core] Handshake-Timeout (10s)")
|
|
return False
|
|
except Exception:
|
|
logger.exception("[core] Handshake-Fehler")
|
|
return False
|
|
|
|
async def connect_to_core(self) -> None:
|
|
"""Persistente WebSocket-Verbindung zu aria-core (OpenClaw Gateway)."""
|
|
retry_delay = 2
|
|
max_conn_failures = 6
|
|
conn_fail_count = 0
|
|
|
|
while self.running:
|
|
try:
|
|
logger.info("[core] Verbinde: %s", self.ws_url)
|
|
async with websockets.connect(self.ws_url) as ws:
|
|
# OpenClaw Handshake durchfuehren
|
|
if not await self._openclaw_handshake(ws):
|
|
logger.error("[core] Handshake fehlgeschlagen — Reconnect")
|
|
await asyncio.sleep(retry_delay)
|
|
retry_delay = min(retry_delay * 2, 30)
|
|
continue
|
|
|
|
self.ws_core = ws
|
|
retry_delay = 2
|
|
conn_fail_count = 0
|
|
logger.info("[core] Verbunden und authentifiziert")
|
|
|
|
async for message in ws:
|
|
await self._handle_core_message(message)
|
|
|
|
except websockets.ConnectionClosed:
|
|
logger.warning("[core] Verbindung verloren")
|
|
conn_fail_count += 1
|
|
except ConnectionRefusedError:
|
|
logger.warning("[core] Nicht erreichbar (%s)", self.ws_url)
|
|
conn_fail_count += 1
|
|
except Exception:
|
|
logger.exception("[core] WebSocket-Fehler")
|
|
conn_fail_count += 1
|
|
finally:
|
|
self.ws_core = None
|
|
|
|
# Nach N aufeinanderfolgenden Fehlern: Exit damit Docker neustartet
|
|
# (bekommt neuen Network-Namespace wenn aria-core restarted wurde)
|
|
if conn_fail_count >= max_conn_failures:
|
|
logger.error(
|
|
"[core] %dx nicht erreichbar — Exit fuer Docker-Restart",
|
|
conn_fail_count,
|
|
)
|
|
sys.exit(1)
|
|
|
|
if self.running:
|
|
logger.info("[core] Reconnect in %ds...", retry_delay)
|
|
await asyncio.sleep(retry_delay)
|
|
retry_delay = min(retry_delay * 2, 30)
|
|
|
|
async def _handle_core_message(self, raw_message: str) -> None:
|
|
"""Verarbeitet Nachrichten von aria-core (OpenClaw Gateway Protokoll).
|
|
|
|
Unterstuetzte Frame-Typen:
|
|
- event: chat:delta (Streaming-Tokens), chat:final (fertige Antwort)
|
|
- res: Antworten auf Requests (chat.send Acknowledgment)
|
|
"""
|
|
try:
|
|
message = json.loads(raw_message)
|
|
except json.JSONDecodeError:
|
|
logger.error("[core] Ungueltige JSON: %s", raw_message[:100])
|
|
return
|
|
|
|
frame_type = message.get("type", "")
|
|
logger.info("[core] <<< Frame: type=%s event=%s method=%s | %s",
|
|
frame_type, message.get("event", "-"), message.get("method", "-"),
|
|
raw_message[:200])
|
|
|
|
# ── Response auf unsere Requests (z.B. chat.send Ack) ──
|
|
if frame_type == "res":
|
|
req_id = message.get("id", "")
|
|
if message.get("ok"):
|
|
logger.debug("[core] Request %s bestätigt", req_id)
|
|
else:
|
|
error = message.get("error", "Unbekannt")
|
|
logger.error("[core] Request %s fehlgeschlagen: %s", req_id, error)
|
|
return
|
|
|
|
# ── Events vom Gateway ──
|
|
if frame_type != "event":
|
|
logger.debug("[core] Unbekannter Frame-Typ: %s", frame_type)
|
|
return
|
|
|
|
event_name = message.get("event", "")
|
|
payload = message.get("payload", {})
|
|
|
|
# ── agent Events: Streaming-Deltas vom LLM ──
|
|
if event_name == "agent":
|
|
data = payload.get("data", {})
|
|
delta = data.get("delta", "")
|
|
if delta and payload.get("stream") == "assistant":
|
|
logger.debug("[core] Delta: '%s'", delta[:40])
|
|
return
|
|
|
|
# ── chat Events: Snapshots mit state=delta|final|error ──
|
|
if event_name == "chat":
|
|
state = payload.get("state", "")
|
|
|
|
if state == "final":
|
|
text = self._extract_chat_text(payload)
|
|
if not text:
|
|
logger.warning("[core] chat final ohne Text: %s", json.dumps(payload)[:200])
|
|
return
|
|
logger.info("[core] Antwort: '%s'", text[:80])
|
|
await self._process_core_response(text, payload)
|
|
return
|
|
|
|
if state == "error":
|
|
error = payload.get("error", "Unbekannt")
|
|
logger.error("[core] Chat-Fehler: %s", error)
|
|
await self._send_to_rvs({
|
|
"type": "chat",
|
|
"payload": {
|
|
"text": f"[Fehler] {error}",
|
|
"sender": "aria",
|
|
},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
return
|
|
|
|
# state=delta — periodischer Snapshot, ignorieren
|
|
return
|
|
|
|
# ── Legacy event names (chat:delta, chat:final, chat:error) ──
|
|
if event_name == "chat:delta":
|
|
delta = payload.get("delta", payload.get("text", ""))
|
|
if delta:
|
|
logger.debug("[core] Delta (legacy): '%s'", delta[:40])
|
|
return
|
|
|
|
if event_name == "chat:final":
|
|
text = payload.get("text", payload.get("message", ""))
|
|
if not text:
|
|
text = self._extract_chat_text(payload)
|
|
if not text:
|
|
logger.warning("[core] chat:final ohne Text: %s", json.dumps(payload)[:200])
|
|
return
|
|
logger.info("[core] Antwort (legacy): '%s'", text[:80])
|
|
await self._process_core_response(text, payload)
|
|
return
|
|
|
|
if event_name == "chat:error":
|
|
error = payload.get("error", payload.get("message", "Unbekannt"))
|
|
logger.error("[core] Chat-Fehler (legacy): %s", error)
|
|
await self._send_to_rvs({
|
|
"type": "chat",
|
|
"payload": {
|
|
"text": f"[Fehler] {error}",
|
|
"sender": "aria",
|
|
},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
return
|
|
|
|
# tick, health, etc. — ignorieren
|
|
if event_name in ("tick", "health"):
|
|
return
|
|
|
|
logger.debug("[core] Event: %s", event_name)
|
|
|
|
@staticmethod
|
|
def _extract_chat_text(payload: dict) -> str:
|
|
"""Extrahiert Text aus OpenClaw chat-Event message.content Array."""
|
|
try:
|
|
content = payload.get("message", {}).get("content", [])
|
|
if isinstance(content, list):
|
|
return "".join(
|
|
c.get("text", "") for c in content if c.get("type") == "text"
|
|
)
|
|
if isinstance(content, str):
|
|
return content
|
|
except (AttributeError, TypeError):
|
|
pass
|
|
return payload.get("text", "")
|
|
|
|
async def _process_core_response(self, text: str, payload: dict) -> None:
|
|
"""Verarbeitet eine fertige Antwort von aria-core.
|
|
|
|
- Leitet Antwort an die App weiter (via RVS)
|
|
- Sprachausgabe ueber TTS (wenn Modus erlaubt)
|
|
"""
|
|
metadata = payload.get("metadata", {})
|
|
is_critical = metadata.get("critical", False)
|
|
requested_voice = metadata.get("voice")
|
|
|
|
# Modus-Wechsel pruefen
|
|
new_mode = detect_mode_switch(text)
|
|
if new_mode is not None:
|
|
self.current_mode = new_mode
|
|
logger.info(
|
|
"[core] Modus → %s %s",
|
|
self.current_mode.config.emoji,
|
|
self.current_mode.config.name,
|
|
)
|
|
await self._send_to_rvs({
|
|
"type": "mode",
|
|
"payload": {"mode": self.current_mode.name},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
|
|
# Stimme auswaehlen
|
|
voice_name = requested_voice or self.voice_engine.select_voice(text)
|
|
|
|
# Antwort an die App weiterleiten (als Chat-Nachricht)
|
|
await self._send_to_rvs({
|
|
"type": "chat",
|
|
"payload": {
|
|
"text": text,
|
|
"sender": "aria",
|
|
"voice": voice_name,
|
|
},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
|
|
# TTS-Audio rendern und an die App senden (wenn Modus es erlaubt)
|
|
if should_speak(self.current_mode, is_critical):
|
|
audio_data = self.voice_engine.synthesize(text, voice_name)
|
|
if audio_data:
|
|
audio_b64 = base64.b64encode(audio_data).decode("ascii")
|
|
await self._send_to_rvs({
|
|
"type": "audio",
|
|
"payload": {
|
|
"base64": audio_b64,
|
|
"mimeType": "audio/wav",
|
|
"voice": voice_name,
|
|
},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
logger.info("[core] TTS-Audio gesendet: %d bytes (%s)", len(audio_data), voice_name)
|
|
|
|
# Lokal abspielen (nur wenn Soundkarte vorhanden)
|
|
if self.audio_available:
|
|
self.voice_engine.speak(text, requested_voice)
|
|
else:
|
|
logger.info("[core] TTS unterdrueckt (Modus: %s)", self.current_mode.config.name)
|
|
|
|
async def send_to_core(self, text: str, source: str = "bridge") -> None:
|
|
"""Sendet Text an aria-core (OpenClaw chat.send Protokoll)."""
|
|
if self.ws_core is None:
|
|
logger.error("[core] Nicht verbunden — Nachricht verworfen: '%s'", text[:60])
|
|
return
|
|
|
|
req_id = self._next_req_id()
|
|
message = json.dumps({
|
|
"type": "req",
|
|
"id": req_id,
|
|
"method": "chat.send",
|
|
"params": {
|
|
"sessionKey": self._session_key,
|
|
"message": text,
|
|
"idempotencyKey": str(uuid.uuid4()),
|
|
},
|
|
})
|
|
|
|
try:
|
|
await self.ws_core.send(message)
|
|
logger.info("[core] chat.send (%s, id=%s): '%s'", source, req_id, text[:80])
|
|
except Exception:
|
|
logger.exception("[core] Sendefehler")
|
|
|
|
# ── RVS Verbindung (App-Relay) ──────────────────────────
|
|
|
|
async def connect_to_rvs(self) -> None:
|
|
"""Persistente WebSocket-Verbindung zum RVS mit Auto-Reconnect.
|
|
|
|
Bei TLS-Fehler wird automatisch auf ws:// gefallbackt
|
|
(wenn RVS_TLS_FALLBACK=true).
|
|
"""
|
|
if not self.rvs_url or not self.rvs_token:
|
|
logger.info("[rvs] Nicht konfiguriert — ueberspringe")
|
|
return
|
|
|
|
retry_delay = 2
|
|
current_url = self.rvs_url
|
|
using_fallback = False
|
|
|
|
while self.running:
|
|
try:
|
|
url = f"{current_url}?token={self.rvs_token}"
|
|
logger.info("[rvs] Verbinde: %s", current_url)
|
|
async with websockets.connect(url) as ws:
|
|
self.ws_rvs = ws
|
|
retry_delay = 2
|
|
logger.info("[rvs] Verbunden — warte auf App-Nachrichten")
|
|
|
|
# Heartbeat senden (RVS erwartet Ping alle 30s)
|
|
heartbeat_task = asyncio.create_task(self._rvs_heartbeat())
|
|
|
|
try:
|
|
async for raw_message in ws:
|
|
await self._handle_rvs_message(raw_message)
|
|
finally:
|
|
heartbeat_task.cancel()
|
|
|
|
except websockets.ConnectionClosed:
|
|
logger.warning("[rvs] Verbindung verloren")
|
|
except ConnectionRefusedError:
|
|
logger.warning("[rvs] Nicht erreichbar")
|
|
except (ssl.SSLError, OSError) as e:
|
|
# TLS-Fehler — Fallback auf ws:// versuchen
|
|
if not using_fallback and self.rvs_url_fallback:
|
|
logger.warning("[rvs] TLS-Fehler: %s", e)
|
|
logger.warning("[rvs] TLS gewollt aber nicht verfuegbar — Fallback auf ws://")
|
|
current_url = self.rvs_url_fallback
|
|
using_fallback = True
|
|
retry_delay = 1 # Sofort versuchen
|
|
else:
|
|
logger.error("[rvs] SSL-Fehler (kein Fallback): %s", e)
|
|
except Exception:
|
|
logger.exception("[rvs] WebSocket-Fehler")
|
|
finally:
|
|
self.ws_rvs = None
|
|
|
|
if self.running:
|
|
logger.info("[rvs] Reconnect in %ds...", retry_delay)
|
|
await asyncio.sleep(retry_delay)
|
|
retry_delay = min(retry_delay * 2, 30)
|
|
|
|
async def _rvs_heartbeat(self) -> None:
|
|
"""Sendet Heartbeats an den RVS damit die Verbindung offen bleibt."""
|
|
while True:
|
|
await asyncio.sleep(25)
|
|
if self.ws_rvs and self.ws_rvs.open:
|
|
try:
|
|
await self.ws_rvs.send(json.dumps({
|
|
"type": "heartbeat",
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
}))
|
|
except Exception:
|
|
break
|
|
|
|
async def _handle_rvs_message(self, raw_message: str) -> None:
|
|
"""Verarbeitet Nachrichten von der App (via RVS).
|
|
|
|
Unterstuetzte Typen:
|
|
- chat: Text-Nachricht → an aria-core weiterleiten
|
|
- audio: Audio-Daten → STT → an aria-core
|
|
- mode: Moduswechsel
|
|
- location: GPS-Daten (loggen, spaeter fuer Skills)
|
|
- file: Datei-Upload (an aria-core weiterleiten)
|
|
"""
|
|
try:
|
|
message = json.loads(raw_message)
|
|
except json.JSONDecodeError:
|
|
logger.error("[rvs] Ungueltige JSON: %s", raw_message[:100])
|
|
return
|
|
|
|
msg_type = message.get("type", "")
|
|
payload = message.get("payload", {})
|
|
|
|
if msg_type == "chat":
|
|
# Text von der App → an aria-core
|
|
text = payload.get("text", "")
|
|
if text:
|
|
logger.info("[rvs] App-Chat: '%s'", text[:80])
|
|
await self.send_to_core(text, source="app")
|
|
|
|
elif msg_type == "mode":
|
|
# Moduswechsel von der App
|
|
mode_name = payload.get("mode", "")
|
|
new_mode = detect_mode_switch(mode_name)
|
|
if new_mode is not None:
|
|
self.current_mode = new_mode
|
|
logger.info(
|
|
"[rvs] Modus → %s %s (von App)",
|
|
self.current_mode.config.emoji,
|
|
self.current_mode.config.name,
|
|
)
|
|
|
|
elif msg_type == "location":
|
|
# GPS-Daten von der App
|
|
lat = payload.get("lat")
|
|
lng = payload.get("lng")
|
|
speed = payload.get("speed")
|
|
logger.info("[rvs] GPS: lat=%.4f lng=%.4f speed=%s", lat or 0, lng or 0, speed)
|
|
# An aria-core weiterleiten (fuer kontextbasierte Skills)
|
|
if self.ws_core:
|
|
await self.ws_core.send(raw_message)
|
|
|
|
elif msg_type == "file":
|
|
# Datei von der App → an aria-core
|
|
logger.info("[rvs] Datei empfangen: %s", payload.get("name", "?"))
|
|
if self.ws_core:
|
|
await self.ws_core.send(raw_message)
|
|
|
|
elif msg_type == "audio":
|
|
# Audio von der App → STT → an aria-core
|
|
logger.info("[rvs] Audio empfangen — TODO: STT")
|
|
# Spaeter: Audio decodieren, durch Whisper jagen, Ergebnis an core
|
|
|
|
else:
|
|
logger.debug("[rvs] Unbekannter Typ: %s", msg_type)
|
|
|
|
async def _send_to_rvs(self, message: dict) -> None:
|
|
"""Sendet eine Nachricht an die App (via RVS)."""
|
|
if self.ws_rvs is None or not self.ws_rvs.open:
|
|
return
|
|
|
|
try:
|
|
await self.ws_rvs.send(json.dumps(message))
|
|
except Exception:
|
|
logger.exception("[rvs] Sendefehler")
|
|
|
|
# ── Log-Streaming an die App ─────────────────────────────
|
|
|
|
async def send_log_to_app(self, source: str, message: str, level: str = "info") -> None:
|
|
"""Sendet einen Log-Eintrag an die App (erscheint im Log-Viewer)."""
|
|
await self._send_to_rvs({
|
|
"type": "log",
|
|
"payload": {
|
|
"source": source,
|
|
"message": message,
|
|
"level": level,
|
|
},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
|
|
async def send_event_to_app(self, title: str, description: str) -> None:
|
|
"""Sendet ein Event an die App (erscheint im Event-Feed)."""
|
|
await self._send_to_rvs({
|
|
"type": "event",
|
|
"payload": {
|
|
"title": title,
|
|
"description": description,
|
|
},
|
|
"timestamp": int(asyncio.get_event_loop().time() * 1000),
|
|
})
|
|
|
|
# ── Audio-Schleife (lokales Mikrofon) ────────────────────
|
|
|
|
async def audio_loop(self) -> None:
|
|
"""Wake-Word erkennen, aufnehmen, transkribieren, an aria-core senden."""
|
|
logger.info("Audio-Schleife gestartet — warte auf Wake-Word '%s'...", self.wake_word.wake_word_key)
|
|
|
|
loop = asyncio.get_event_loop()
|
|
|
|
while self.running:
|
|
try:
|
|
audio_chunk = sd.rec(
|
|
BLOCK_SIZE,
|
|
samplerate=SAMPLE_RATE,
|
|
channels=CHANNELS,
|
|
dtype="int16",
|
|
)
|
|
sd.wait()
|
|
|
|
detected = await loop.run_in_executor(
|
|
None, self.wake_word.detect, audio_chunk.flatten()
|
|
)
|
|
|
|
if detected:
|
|
logger.info("Wake-Word erkannt — starte Aufnahme")
|
|
await self.send_event_to_app(
|
|
"Wake-Word erkannt",
|
|
"ARIA hoert zu...",
|
|
)
|
|
|
|
audio_data = await loop.run_in_executor(None, record_audio)
|
|
|
|
text = await loop.run_in_executor(
|
|
None, self.stt_engine.transcribe, audio_data
|
|
)
|
|
|
|
if text.strip():
|
|
new_mode = detect_mode_switch(text)
|
|
if new_mode is not None:
|
|
self.current_mode = new_mode
|
|
|
|
await self.send_to_core(text, source="bridge")
|
|
else:
|
|
logger.info("Keine Sprache erkannt — ignoriert")
|
|
|
|
except sd.PortAudioError:
|
|
logger.error("Audio-Geraet nicht verfuegbar — warte 5 Sekunden")
|
|
await asyncio.sleep(5)
|
|
except Exception:
|
|
logger.exception("Fehler in der Audio-Schleife")
|
|
await asyncio.sleep(1)
|
|
|
|
# ── Run & Shutdown ───────────────────────────────────────
|
|
|
|
async def run(self) -> None:
|
|
"""Startet die Bridge mit allen Verbindungen parallel.
|
|
|
|
Ohne Audio-Geraet laeuft nur core + rvs (reiner Relay-Modus).
|
|
"""
|
|
self.running = True
|
|
|
|
tasks = [
|
|
asyncio.create_task(self.connect_to_core()),
|
|
asyncio.create_task(self.connect_to_rvs()),
|
|
]
|
|
|
|
if self.audio_available:
|
|
tasks.append(asyncio.create_task(self.audio_loop()))
|
|
else:
|
|
logger.info("Audio-Loop deaktiviert — kein Audio-Geraet")
|
|
|
|
try:
|
|
await asyncio.gather(*tasks)
|
|
except asyncio.CancelledError:
|
|
logger.info("Bridge-Tasks abgebrochen")
|
|
|
|
def shutdown(self) -> None:
|
|
"""Faehrt die Bridge sauber herunter."""
|
|
logger.info("Bridge wird heruntergefahren...")
|
|
self.running = False
|
|
|
|
|
|
# ── Hauptprogramm ────────────────────────────────────────────
|
|
|
|
|
|
def main() -> None:
|
|
"""Startet die ARIA Voice Bridge."""
|
|
bridge = ARIABridge()
|
|
|
|
# Signal-Handler fuer sauberes Herunterfahren
|
|
def handle_signal(signum: int, _frame: object) -> None:
|
|
sig_name = signal.Signals(signum).name
|
|
logger.info("Signal %s empfangen — fahre herunter", sig_name)
|
|
bridge.shutdown()
|
|
|
|
signal.signal(signal.SIGTERM, handle_signal)
|
|
signal.signal(signal.SIGINT, handle_signal)
|
|
|
|
# Initialisierung (synchron — bevor die Event-Loop startet)
|
|
try:
|
|
bridge.initialize()
|
|
except Exception:
|
|
logger.exception("Initialisierung fehlgeschlagen")
|
|
sys.exit(1)
|
|
|
|
# Event-Loop starten
|
|
try:
|
|
asyncio.run(bridge.run())
|
|
except KeyboardInterrupt:
|
|
logger.info("Keyboard Interrupt — Bridge beendet")
|
|
finally:
|
|
logger.info("ARIA Voice Bridge beendet")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|