60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
"""Shared models."""
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import json
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import logging
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from dataclasses import asdict, 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 TYPE_CHECKING, Dict, List, Optional
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if TYPE_CHECKING:
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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 .satellite import VoiceSatelliteProtocol
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_LOGGER = logging.getLogger(__name__)
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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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@dataclass
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class Preferences:
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active_wake_words: List[str] = field(default_factory=list)
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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_words: "Dict[str, 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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preferences: Preferences
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preferences_path: Path
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libtensorflowlite_c_path: Path
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media_player_entity: "Optional[MediaPlayerEntity]" = None
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satellite: "Optional[VoiceSatelliteProtocol]" = None
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wake_words_changed: bool = False
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def save_preferences(self) -> None:
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"""Save preferences as JSON."""
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_LOGGER.debug("Saving preferences: %s", self.preferences_path)
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self.preferences_path.parent.mkdir(parents=True, exist_ok=True)
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with open(self.preferences_path, "w", encoding="utf-8") as preferences_file:
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json.dump(
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asdict(self.preferences), preferences_file, ensure_ascii=False, indent=4
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)
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