564 lines
20 KiB
Python
564 lines
20 KiB
Python
#!/usr/bin/env python3
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import argparse
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import asyncio
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import json
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import logging
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import threading
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import time
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import tempfile
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import shutil
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import posixpath
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from collections.abc import Iterable
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from dataclasses import dataclass, field
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from pathlib import Path
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from queue import Queue
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from typing import Dict, List, Optional
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from urllib.request import urlopen
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from urllib.parse import urlparse, urlunparse
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# pylint: disable=no-name-in-module
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import sounddevice as sd
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from aioesphomeapi.api_pb2 import ( # type: ignore[attr-defined]
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DeviceInfoRequest,
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DeviceInfoResponse,
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ListEntitiesDoneResponse,
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ListEntitiesRequest,
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MediaPlayerCommandRequest,
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SubscribeHomeAssistantStatesRequest,
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VoiceAssistantAnnounceFinished,
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VoiceAssistantAnnounceRequest,
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VoiceAssistantAudio,
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VoiceAssistantConfigurationRequest,
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VoiceAssistantConfigurationResponse,
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VoiceAssistantEventResponse,
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VoiceAssistantRequest,
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VoiceAssistantSetConfiguration,
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VoiceAssistantTimerEventResponse,
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VoiceAssistantWakeWord,
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)
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from aioesphomeapi.model import (
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VoiceAssistantEventType,
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VoiceAssistantFeature,
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VoiceAssistantTimerEventType,
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)
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from google.protobuf import message
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from .api_server import APIServer
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from .entity import ESPHomeEntity, MediaPlayerEntity
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from .microwakeword import MicroWakeWord
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from .mpv_player import MpvMediaPlayer
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from .util import call_all, get_mac, is_arm
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_LOGGER = logging.getLogger(__name__)
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_MODULE_DIR = Path(__file__).parent
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_REPO_DIR = _MODULE_DIR.parent
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_WAKEWORDS_DIR = _REPO_DIR / "wakewords"
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_SOUNDS_DIR = _REPO_DIR / "sounds"
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if is_arm():
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_LIB_DIR = _REPO_DIR / "lib" / "linux_arm64"
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else:
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_LIB_DIR = _REPO_DIR / "lib" / "linux_amd64"
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@dataclass
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class AvailableWakeWord:
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id: str
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wake_word: str
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trained_languages: List[str]
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config_path: Path
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url: Optional[str] = None
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@dataclass
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class ServerState:
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name: str
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mac_address: str
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audio_queue: "Queue[Optional[bytes]]"
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entities: List[ESPHomeEntity]
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available_wake_words: Dict[str, AvailableWakeWord]
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wake_word: MicroWakeWord
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stop_word: MicroWakeWord
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music_player: MpvMediaPlayer
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tts_player: MpvMediaPlayer
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wakeup_sound: str
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timer_finished_sound: str
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media_player_entity: Optional[MediaPlayerEntity] = None
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satellite: "Optional[VoiceSatelliteProtocol]" = None
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_external_wake_word_dir: Optional[tempfile.TemporaryDirectory] = None
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@property
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def external_wake_word_dir(self) -> Path:
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if self._external_wake_word_dir is None:
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self._external_wake_word_dir = tempfile.TemporaryDirectory()
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return Path(self._external_wake_word_dir.name)
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# -----------------------------------------------------------------------------
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class VoiceSatelliteProtocol(APIServer):
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def __init__(self, state: ServerState) -> None:
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super().__init__(state.name)
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self.state = state
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self.state.satellite = self
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if self.state.media_player_entity is None:
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self.state.media_player_entity = MediaPlayerEntity(
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server=self,
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key=len(state.entities),
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name="Media Player",
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object_id="linux_voice_assistant_media_player",
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music_player=state.music_player,
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announce_player=state.tts_player,
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)
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self.state.entities.append(self.state.media_player_entity)
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self._is_streaming_audio = False
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self._tts_url: Optional[str] = None
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self._tts_played = False
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self._continue_conversation = False
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self._timer_finished = False
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def handle_voice_event(
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self, event_type: VoiceAssistantEventType, data: Dict[str, str]
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) -> None:
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_LOGGER.debug("Voice event: type=%s, data=%s", event_type.name, data)
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if event_type == VoiceAssistantEventType.VOICE_ASSISTANT_RUN_START:
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self._tts_url = data.get("url")
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self._tts_played = False
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self._continue_conversation = False
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elif event_type in (
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VoiceAssistantEventType.VOICE_ASSISTANT_STT_VAD_END,
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VoiceAssistantEventType.VOICE_ASSISTANT_STT_END,
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):
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self._is_streaming_audio = False
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elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_INTENT_PROGRESS:
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if data.get("tts_start_streaming") == "1":
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# Start streaming early
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self.play_tts()
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elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_INTENT_END:
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if data.get("continue_conversation") == "1":
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self._continue_conversation = True
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elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_TTS_END:
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self._tts_url = data.get("url")
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self.play_tts()
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elif event_type == VoiceAssistantEventType.VOICE_ASSISTANT_RUN_END:
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self._is_streaming_audio = False
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if not self._tts_played:
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self._tts_finished()
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self._tts_played = False
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# TODO: handle error
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def handle_timer_event(
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self,
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event_type: VoiceAssistantTimerEventType,
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msg: VoiceAssistantTimerEventResponse,
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) -> None:
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_LOGGER.debug("Timer event: type=%s", event_type.name)
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if event_type == VoiceAssistantTimerEventType.VOICE_ASSISTANT_TIMER_FINISHED:
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if not self._timer_finished:
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self.state.stop_word.is_active = True
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self._timer_finished = True
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self.duck()
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self._play_timer_finished()
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def handle_message(self, msg: message.Message) -> Iterable[message.Message]:
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if isinstance(msg, VoiceAssistantEventResponse):
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# Pipeline event
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data: Dict[str, str] = {}
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for arg in msg.data:
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data[arg.name] = arg.value
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self.handle_voice_event(VoiceAssistantEventType(msg.event_type), data)
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elif isinstance(msg, VoiceAssistantAnnounceRequest):
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_LOGGER.debug("Announcing: %s", msg.text)
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assert self.state.media_player_entity is not None
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urls = []
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if msg.preannounce_media_id:
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urls.append(msg.preannounce_media_id)
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urls.append(msg.media_id)
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self.state.stop_word.is_active = True
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self._continue_conversation = msg.start_conversation
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self.duck()
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yield from self.state.media_player_entity.play(
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urls, announcement=True, done_callback=self._tts_finished
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)
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elif isinstance(msg, VoiceAssistantTimerEventResponse):
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self.handle_timer_event(VoiceAssistantTimerEventType(msg.event_type), msg)
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elif isinstance(msg, DeviceInfoRequest):
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yield DeviceInfoResponse(
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uses_password=False,
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name=self.state.name,
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mac_address=self.state.mac_address,
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voice_assistant_feature_flags=(
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VoiceAssistantFeature.VOICE_ASSISTANT
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| VoiceAssistantFeature.API_AUDIO
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| VoiceAssistantFeature.ANNOUNCE
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| VoiceAssistantFeature.START_CONVERSATION
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| VoiceAssistantFeature.TIMERS
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),
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)
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elif isinstance(
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msg,
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(
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ListEntitiesRequest,
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SubscribeHomeAssistantStatesRequest,
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MediaPlayerCommandRequest,
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),
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):
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for entity in self.state.entities:
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yield from entity.handle_message(msg)
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if isinstance(msg, ListEntitiesRequest):
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yield ListEntitiesDoneResponse()
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elif isinstance(msg, VoiceAssistantConfigurationRequest):
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external_wake_words = {
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external_ww.wake_word.id: external_ww
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for external_ww in msg.external_wake_words
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if external_ww.model_type == "micro_wake_word"
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}
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for wake_word_id, external_ww in external_wake_words.items():
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if wake_word_id in self.state.available_wake_words:
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# Skip if already added
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continue
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self.state.available_wake_words[wake_word_id] = AvailableWakeWord(
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id=external_ww.wake_word.id,
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wake_word=external_ww.wake_word.wake_word,
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trained_languages=external_ww.wake_word.trained_languages,
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config_path=self.state.external_wake_word_dir
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/ f"{external_ww.wake_word.id}.json",
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url=external_ww.url,
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)
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yield VoiceAssistantConfigurationResponse(
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available_wake_words=[
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VoiceAssistantWakeWord(
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id=ww.id,
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wake_word=ww.wake_word,
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trained_languages=ww.trained_languages,
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)
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for ww in self.state.available_wake_words.values()
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],
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active_wake_words=[self.state.wake_word.id],
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max_active_wake_words=1,
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)
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_LOGGER.info("Connected to Home Assistant")
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elif isinstance(msg, VoiceAssistantSetConfiguration):
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# TODO: support multiple wake words
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for wake_word_id in msg.active_wake_words:
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if wake_word_id == self.state.wake_word.id:
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# Already active
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break
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model_info = self.state.available_wake_words.get(wake_word_id)
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if not model_info:
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continue
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if (not model_info.config_path.exists()) and model_info.url:
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_LOGGER.debug("Downloading wake word config: %s", model_info.url)
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with (
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open(model_info.config_path, "wb") as config_file,
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urlopen(model_info.url) as response,
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):
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if response.status != 200:
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_LOGGER.error(
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"Download failed with status: %s", response.status
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)
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continue
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shutil.copyfileobj(response, config_file)
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with open(
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model_info.config_path, "r", encoding="utf-8"
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) as config_file:
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config_dict = json.load(config_file)
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parsed_config_url = urlparse(model_info.url)
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model_url = urlunparse(
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parsed_config_url._replace(
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path=posixpath.join(
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posixpath.dirname(parsed_config_url.path),
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config_dict["model"],
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)
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)
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)
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_LOGGER.debug("Downloading wake word model: %s", model_url)
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model_path = model_info.config_path.parent / config_dict["model"]
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with (
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open(model_path, "wb") as model_file,
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urlopen(model_url) as response,
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):
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if response.status != 200:
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_LOGGER.error(
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"Download failed with status: %s", response.status
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)
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continue
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shutil.copyfileobj(response, model_file)
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_LOGGER.debug("Loading wake word: %s", model_info.config_path)
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self.state.wake_word = MicroWakeWord.from_config(
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model_info.config_path,
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self.state.wake_word.libtensorflowlite_c_path,
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)
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_LOGGER.info("Wake word set: %s", self.state.wake_word.wake_word)
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break
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def handle_audio(self, audio_chunk: bytes) -> None:
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if not self._is_streaming_audio:
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return
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self.send_messages([VoiceAssistantAudio(data=audio_chunk)])
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def wakeup(self) -> None:
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if self._timer_finished:
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# Stop timer instead
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self._timer_finished = False
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self.state.tts_player.stop()
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_LOGGER.debug("Stopping timer finished sound")
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return
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wake_word_phrase = self.state.wake_word.wake_word
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_LOGGER.debug("Detected wake word: %s", wake_word_phrase)
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self.send_messages(
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[VoiceAssistantRequest(start=True, wake_word_phrase=wake_word_phrase)]
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)
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self.duck()
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self._is_streaming_audio = True
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self.state.tts_player.play(self.state.wakeup_sound)
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def stop(self) -> None:
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self.state.stop_word.is_active = False
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self.state.tts_player.stop()
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if self._timer_finished:
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self._timer_finished = False
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_LOGGER.debug("Stopping timer finished sound")
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else:
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_LOGGER.debug("TTS response stopped manually")
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self._tts_finished()
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def play_tts(self) -> None:
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if (not self._tts_url) or self._tts_played:
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return
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self._tts_played = True
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_LOGGER.debug("Playing TTS response: %s", self._tts_url)
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self.state.stop_word.is_active = True
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self.state.tts_player.play(self._tts_url, done_callback=self._tts_finished)
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def duck(self) -> None:
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_LOGGER.debug("Ducking music")
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self.state.music_player.duck()
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def unduck(self) -> None:
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_LOGGER.debug("Unducking music")
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self.state.music_player.unduck()
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def _tts_finished(self) -> None:
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self.state.stop_word.is_active = False
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self.send_messages([VoiceAssistantAnnounceFinished()])
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if self._continue_conversation:
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self.send_messages([VoiceAssistantRequest(start=True)])
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self._is_streaming_audio = True
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_LOGGER.debug("Continuing conversation")
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else:
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self.unduck()
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_LOGGER.debug("TTS response finished")
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def _play_timer_finished(self) -> None:
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if not self._timer_finished:
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self.unduck()
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return
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self.state.tts_player.play(
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self.state.timer_finished_sound,
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done_callback=lambda: call_all(
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lambda: time.sleep(1.0), self._play_timer_finished
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),
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)
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def connection_lost(self, exc):
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super().connection_lost(exc)
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_LOGGER.info("Disconnected from Home Assistant")
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def process_audio(state: ServerState):
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try:
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while True:
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audio_chunk = state.audio_queue.get()
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if audio_chunk is None:
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break
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if state.satellite is None:
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continue
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try:
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state.satellite.handle_audio(audio_chunk)
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if state.wake_word.is_active and state.wake_word.process_streaming(
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audio_chunk
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):
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state.satellite.wakeup()
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if state.stop_word.is_active and state.stop_word.process_streaming(
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audio_chunk
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):
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state.satellite.stop()
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except Exception:
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_LOGGER.exception("Unexpected error handling audio")
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except Exception:
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_LOGGER.exception("Unexpected error processing audio")
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# -----------------------------------------------------------------------------
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async def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("--name", required=True)
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parser.add_argument(
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"--audio-input-device",
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default="default",
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help="sounddevice name for input device",
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)
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parser.add_argument("--audio-input-block-size", type=int, default=1024)
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parser.add_argument("--audio-output-device", help="mpv name for output device")
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parser.add_argument(
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"--wake-word-dir",
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default=_WAKEWORDS_DIR,
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help="Directory with wake word models (.tflite) and configs (.json)",
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)
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parser.add_argument(
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"--wake-model", default="okay_nabu", help="Id of active wake model"
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)
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parser.add_argument("--stop-model", default="stop", help="Id of stop model")
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parser.add_argument(
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"--wakeup-sound", default=str(_SOUNDS_DIR / "wake_word_triggered.flac")
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)
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parser.add_argument(
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"--timer-finished-sound", default=str(_SOUNDS_DIR / "timer_finished.flac")
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)
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parser.add_argument(
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"--host",
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default="0.0.0.0",
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help="Address for ESPHome server (default: 0.0.0.0)",
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)
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parser.add_argument(
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"--port", type=int, default=6053, help="Port for ESPHome server (default: 6053)"
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)
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parser.add_argument(
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"--debug", action="store_true", help="Print DEBUG messages to console"
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)
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args = parser.parse_args()
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logging.basicConfig(level=logging.DEBUG if args.debug else logging.INFO)
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_LOGGER.debug(args)
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# Load available wake words
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wake_word_dir = Path(args.wake_word_dir)
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available_wake_words: Dict[str, AvailableWakeWord] = {}
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for model_config_path in wake_word_dir.glob("*.json"):
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model_id = model_config_path.stem
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if model_id == args.stop_model:
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# Don't show stop model as an available wake word
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continue
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with open(model_config_path, "r", encoding="utf-8") as model_config_file:
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model_config = json.load(model_config_file)
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available_wake_words[model_id] = AvailableWakeWord(
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id=model_id,
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wake_word=model_config["wake_word"],
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trained_languages=model_config.get("trained_languages", []),
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config_path=model_config_path,
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)
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_LOGGER.debug("Available wake words: %s", list(sorted(available_wake_words.keys())))
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libtensorflowlite_c_path = _LIB_DIR / "libtensorflowlite_c.so"
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_LOGGER.debug("libtensorflowlite_c path: %s", libtensorflowlite_c_path)
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# Load wake/stop models
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wake_config_path = wake_word_dir / f"{args.wake_model}.json"
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_LOGGER.debug("Loading wake model: %s", wake_config_path)
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wake_model = MicroWakeWord.from_config(wake_config_path, libtensorflowlite_c_path)
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stop_config_path = wake_word_dir / f"{args.stop_model}.json"
|
|
_LOGGER.debug("Loading stop model: %s", stop_config_path)
|
|
stop_model = MicroWakeWord.from_config(stop_config_path, libtensorflowlite_c_path)
|
|
|
|
state = ServerState(
|
|
name=args.name,
|
|
mac_address=get_mac(),
|
|
audio_queue=Queue(),
|
|
entities=[],
|
|
available_wake_words=available_wake_words,
|
|
wake_word=wake_model,
|
|
stop_word=stop_model,
|
|
music_player=MpvMediaPlayer(device=args.audio_output_device),
|
|
tts_player=MpvMediaPlayer(device=args.audio_output_device),
|
|
wakeup_sound=args.wakeup_sound,
|
|
timer_finished_sound=args.timer_finished_sound,
|
|
)
|
|
|
|
process_audio_thread = threading.Thread(
|
|
target=process_audio, args=(state,), daemon=True
|
|
)
|
|
process_audio_thread.start()
|
|
|
|
def sd_callback(indata, _frames, _time, _status):
|
|
state.audio_queue.put_nowait(bytes(indata))
|
|
|
|
loop = asyncio.get_running_loop()
|
|
server = await loop.create_server(
|
|
lambda: VoiceSatelliteProtocol(state), host=args.host, port=args.port
|
|
)
|
|
|
|
try:
|
|
_LOGGER.debug("Opening audio input device: %s", args.audio_input_device)
|
|
with sd.RawInputStream(
|
|
samplerate=16000,
|
|
blocksize=args.audio_input_block_size,
|
|
device=args.audio_input_device,
|
|
dtype="int16",
|
|
channels=1,
|
|
callback=sd_callback,
|
|
):
|
|
async with server:
|
|
_LOGGER.info("Server started (host=%s, port=%s)", args.host, args.port)
|
|
await server.serve_forever()
|
|
except KeyboardInterrupt:
|
|
pass
|
|
finally:
|
|
state.audio_queue.put_nowait(None)
|
|
process_audio_thread.join()
|
|
|
|
_LOGGER.debug("Server stopped")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main())
|