Files
vf-cuda-grid/controller/cuda_grid_controller/config.py
T
gx d8674e599d controller: Phase 5d — audio_zmq_endpoint для split-process architecture
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>
2026-05-20 23:15:13 +01:00

148 lines
4.9 KiB
Python

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