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193 lines (163 loc) · 6.78 KB
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"""Shared models."""
import json
import logging
from dataclasses import asdict, dataclass, field
from enum import Enum
from pathlib import Path
from queue import Queue
from typing import TYPE_CHECKING, Dict, List, Optional, Set, Union
if TYPE_CHECKING:
from pymicro_wakeword import MicroWakeWord
from pyopen_wakeword import OpenWakeWord
from .entity import (
ESPHomeEntity,
MediaPlayerEntity,
MicSettingEntity,
MuteSwitchEntity,
StopWordSensitivityNumberEntity,
ThinkingSoundEntity,
WakeWord1SensitivityNumberEntity,
WakeWord2SensitivityNumberEntity,
)
from .mpv_player import MpvMediaPlayer
from .satellite import VoiceSatelliteProtocol
_LOGGER = logging.getLogger(__name__)
class WakeWordType(str, Enum):
MICRO_WAKE_WORD = "micro"
OPEN_WAKE_WORD = "openWakeWord"
@dataclass
class AvailableWakeWord:
id: str
type: WakeWordType
wake_word: str
trained_languages: List[str]
wake_word_path: Path
probability_cutoff: float = 0.7
def load(self) -> "Union[MicroWakeWord, OpenWakeWord]":
if self.type == WakeWordType.MICRO_WAKE_WORD:
from pymicro_wakeword import MicroWakeWord
return MicroWakeWord.from_config(config_path=self.wake_word_path)
if self.type == WakeWordType.OPEN_WAKE_WORD:
from pyopen_wakeword import OpenWakeWord
oww_model = OpenWakeWord.from_model(model_path=self.wake_word_path)
setattr(oww_model, "wake_word", self.wake_word)
return oww_model
raise ValueError(f"Unexpected wake word type: {self.type}")
@dataclass
class Preferences:
active_wake_words: List[Optional[str]] = field(default_factory=list)
volume: Optional[float] = None
thinking_sound: int = 0 # 0 = disabled, 1 = enabled
wake_word_1_sensitivity: Optional[float] = None
wake_word_2_sensitivity: Optional[float] = None
stop_word_sensitivity: Optional[float] = None
mic_auto_gain: int = 0
mic_noise_suppression: int = 0
mic_volume: int = 100 # 1–100, default maximum
@dataclass
class ServerState:
name: str
friendly_name: str
mac_address: str
ip_address: str
network_interface: str
version: str
esphome_version: str
audio_queue: "Queue[Optional[bytes]]"
entities: "List[ESPHomeEntity]"
available_wake_words: "Dict[str, AvailableWakeWord]"
wake_words: "Dict[str, Union[MicroWakeWord, OpenWakeWord]]"
active_wake_words: Set[str]
stop_word: "MicroWakeWord"
music_player: "MpvMediaPlayer"
tts_player: "MpvMediaPlayer"
wakeup_sound: str
processing_sound: str
timer_finished_sound: str
mute_sound: str
unmute_sound: str
preferences: Preferences
preferences_path: Path
download_dir: Path
media_player_entity: "Optional[MediaPlayerEntity]" = None
satellite: "Optional[VoiceSatelliteProtocol]" = None
mute_switch_entity: "Optional[MuteSwitchEntity]" = None
thinking_sound_entity: "Optional[ThinkingSoundEntity]" = None
sensitivity_1_number_entity: "Optional[WakeWord1SensitivityNumberEntity]" = None
sensitivity_2_number_entity: "Optional[WakeWord2SensitivityNumberEntity]" = None
stop_sensitivity_number_entity: "Optional[StopWordSensitivityNumberEntity]" = None
mic_gain_entity: "Optional[MicSettingEntity]" = None
mic_noise_suppression_entity: "Optional[MicSettingEntity]" = None
mic_volume_entity: "Optional[MicSettingEntity]" = None
wake_words_changed: bool = False
refractory_seconds: float = 2.0
thinking_sound_enabled: bool = False
output_only: bool = False
muted: bool = False
connected: bool = False
volume: float = 1.0
oww_probability_cutoff: float = 0.7 # Dynamic threshold for OpenWakeWord
oww_second_probability_cutoff: float = 0.7 # Dynamic threshold for second OpenWakeWord
oww_stop_probability_cutoff: float = 0.5 # Dynamic threshold for Stop word
wake_word_1_threshold: float = 0.7
wake_word_2_threshold: float = 0.7
stop_word_threshold: float = 0.5
mic_auto_gain: int = 0
mic_noise_suppression: int = 0
mic_volume: int = 100 # 1–100, default maximum
timer_max_ring_seconds: float = 900.0
volume_controller: str = "mpv"
audio_output_device: Optional[str] = None
def save_preferences(self) -> None:
"""Save preferences as JSON."""
_LOGGER.debug("Saving preferences: %s", self.preferences_path)
self.preferences_path.parent.mkdir(parents=True, exist_ok=True)
with open(self.preferences_path, "w", encoding="utf-8") as preferences_file:
json.dump(
asdict(self.preferences),
preferences_file,
ensure_ascii=False,
indent=4,
)
def persist_volume(self, volume: float) -> None:
"""Persist the normalized media volume (0.0 - 1.0)."""
clamped_volume = max(0.0, min(1.0, volume))
_LOGGER.debug(
"persist_volume called: new=%s, current=%s, prefs=%s",
clamped_volume,
self.volume,
self.preferences.volume,
)
if abs(self.volume - clamped_volume) < 0.0001 and self.preferences.volume is not None and abs(self.preferences.volume - clamped_volume) < 0.0001:
_LOGGER.debug("Skipping save - volume unchanged")
return
self.volume = clamped_volume
self.preferences.volume = clamped_volume
_LOGGER.info("Saving volume %s to %s", clamped_volume, self.preferences_path)
self.save_preferences()
_LOGGER.info("Volume saved successfully")
def persist_mic_gain(self, gain: float) -> None:
"""Persist the microphone auto gain value."""
gain_int = int(gain)
if self.mic_auto_gain == gain_int and self.preferences.mic_auto_gain == gain_int:
return
self.mic_auto_gain = gain_int
self.preferences.mic_auto_gain = gain_int
self.save_preferences()
def persist_mic_noise(self, noise: float) -> None:
"""Persist the microphone noise suppression value."""
noise_int = int(noise)
if self.mic_noise_suppression == noise_int and self.preferences.mic_noise_suppression == noise_int:
return
self.mic_noise_suppression = noise_int
self.preferences.mic_noise_suppression = noise_int
self.save_preferences()
def persist_mic_volume(self, volume: float) -> None:
"""Persist the microphone input volume (0–100)."""
volume_int = max(1, min(100, int(round(volume))))
if self.mic_volume == volume_int and self.preferences.mic_volume == volume_int:
return
self.mic_volume = volume_int
self.preferences.mic_volume = volume_int
_LOGGER.info("Saving mic_volume %s to %s", volume_int, self.preferences_path)
self.save_preferences()