d8674e599d
InstanceCfg.audio_zmq_endpoint (optional) — ZMQ адрес отдельного audio sidecar ffmpeg. dispatcher._audio_set + _intercom_set теперь используют _audio_client(inst) — separate ZMQ socket к sidecar. Fallback: если audio_zmq_endpoint=null → реверт к video pipeline zmq (Phase 5a single-source behaviour). Зачем: multi-source audio chain в одном pipeline с video блокирует video pacing (см. feedback_audio-chain-blocks-video). Split разделяет A/V на 2 ffmpeg процесса; audio sidecar publish'нет к mediamtx, video pipeline consume'нет audio как RTSP source + remux к combined output. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
148 lines
4.9 KiB
Python
148 lines
4.9 KiB
Python
"""Конфигурация — pydantic models + YAML loader.
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Структура YAML:
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broker:
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host: localhost
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port: 1883
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username_env: MQTT_USERNAME
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password_env: MQTT_PASSWORD
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instances:
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- name: livingroom_tv
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zmq_endpoint: tcp://127.0.0.1:5555
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default_layout: quad
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ha_discovery:
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enabled: true
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prefix: homeassistant
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device_name: "CUDA Grid Composer"
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http:
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host: 0.0.0.0
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port: 8080
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log:
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level: INFO
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"""
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from __future__ import annotations
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import os
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from pathlib import Path
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from typing import Self
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import yaml
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from pydantic import BaseModel, Field, field_validator
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class BrokerCfg(BaseModel):
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host: str = "localhost"
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port: int = 1883
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client_id: str = "cuda-grid-controller"
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username_env: str | None = None
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password_env: str | None = None
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keepalive_sec: int = 30
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@property
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def username(self) -> str | None:
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return os.environ.get(self.username_env) if self.username_env else None
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@property
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def password(self) -> str | None:
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return os.environ.get(self.password_env) if self.password_env else None
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class InstanceCfg(BaseModel):
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"""Один FFmpeg pipeline = одна cuda_grid filter instance."""
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name: str = Field(description="уникальное имя — становится частью HA entity ID")
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zmq_endpoint: str = Field(
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description="ZMQ endpoint видео-pipeline (cuda_grid + overlay filters)"
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)
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audio_zmq_endpoint: str | None = Field(
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default=None,
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description="ZMQ endpoint отдельного audio sidecar (Phase 5d split-process). "
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"None = audio_set/intercom вызывают video pipeline (Phase 5a single source)",
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)
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default_layout: str = "quad"
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filter_target: str = Field(
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default="Parsed_cuda_grid_0",
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description="Filter target name в FFmpeg filter graph (для process_command)",
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)
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output_rtsp_url: str | None = Field(
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default=None,
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description="URL куда pipeline push'ит composed stream — controller read'ит для snapshot/preview endpoints",
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)
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audio_sources: list["AudioSourceCfg"] = Field(
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default_factory=list,
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description="Audio sources для astreamselect switching (Phase 5b)",
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)
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audio_filter_target: str = Field(
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default="astreamselect@as",
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description="Target filter для ZMQ команд переключения audio (должен соответствовать pipeline filter_complex)",
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)
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music_volume_target: str = Field(
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default="volume@music",
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description="Target filter для управления громкостью music chain (Phase 5c ducking)",
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)
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intercom_volume_target: str = Field(
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default="volume@intercom",
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description="Target filter для управления громкостью intercom (Phase 5c)",
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)
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music_ducked_volume: float = Field(
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default=0.2, ge=0.0, le=1.0,
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description="Громкость music когда intercom активен (0.2 = -14 dB)",
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)
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class AudioSourceCfg(BaseModel):
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"""Описание audio source в порядке как они добавлены в pipeline -i ..."""
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name: str = Field(description="Уникальное имя для API (e.g. 'europa_plus')")
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index: int = Field(ge=0, description="Index в astreamselect inputs (соответствует порядку -i в pipeline)")
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label: str | None = Field(default=None, description="UI-friendly label (default = name)")
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@field_validator("name")
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@classmethod
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def name_alnum(cls, v: str) -> str:
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if not v.replace("_", "").isalnum():
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raise ValueError(f"instance name '{v}' must be alphanumeric + underscore")
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return v
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class HaDiscoveryCfg(BaseModel):
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enabled: bool = True
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prefix: str = "homeassistant"
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device_name: str = "CUDA Grid Composer"
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device_identifier: str = "cuda_grid_controller"
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class HttpCfg(BaseModel):
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host: str = "0.0.0.0"
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port: int = 8080
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class LogCfg(BaseModel):
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level: str = "INFO"
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class Config(BaseModel):
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broker: BrokerCfg = BrokerCfg()
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instances: list[InstanceCfg] = []
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ha_discovery: HaDiscoveryCfg = HaDiscoveryCfg()
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http: HttpCfg = HttpCfg()
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log: LogCfg = LogCfg()
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# Frigate bridge — late import чтобы избежать circular dep
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frigate: dict | None = None # parsed в FrigateBridgeCfg при runtime
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# Dynamic overlays (charts/chats) — late import тоже
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dynamic_overlays: dict | None = None # parsed в DynamicRenderer cfg
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icon_dir: str = Field(
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default="/var/lib/cuda-grid/icons",
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description="Shared volume куда controller пишет dynamic PNG; filter (`icon_dir=` option) читает оттуда",
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)
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@classmethod
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def from_yaml(cls, path: Path | str) -> Self:
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with open(path) as f:
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data = yaml.safe_load(f) or {}
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return cls.model_validate(data)
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