mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-30 19:09:13 +01:00
85 lines
2.8 KiB
Python
85 lines
2.8 KiB
Python
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from enum import Enum
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from typing import Optional, Union
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from pydantic import Field, field_validator
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from ..base import FrigateBaseModel
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from ..env import EnvString
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from .objects import DEFAULT_TRACKED_OBJECTS
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__all__ = ["OnvifConfig", "PtzAutotrackConfig", "ZoomingModeEnum"]
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class ZoomingModeEnum(str, Enum):
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disabled = "disabled"
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absolute = "absolute"
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relative = "relative"
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class PtzAutotrackConfig(FrigateBaseModel):
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enabled: bool = Field(default=False, title="Enable PTZ object autotracking.")
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calibrate_on_startup: bool = Field(
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default=False, title="Perform a camera calibration when Frigate starts."
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)
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zooming: ZoomingModeEnum = Field(
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default=ZoomingModeEnum.disabled, title="Autotracker zooming mode."
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)
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zoom_factor: float = Field(
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default=0.3,
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title="Zooming factor (0.1-0.75).",
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ge=0.1,
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le=0.75,
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)
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track: list[str] = Field(default=DEFAULT_TRACKED_OBJECTS, title="Objects to track.")
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required_zones: list[str] = Field(
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default_factory=list,
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title="List of required zones to be entered in order to begin autotracking.",
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)
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return_preset: str = Field(
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default="home",
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title="Name of camera preset to return to when object tracking is over.",
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)
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timeout: int = Field(
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default=10, title="Seconds to delay before returning to preset."
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)
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movement_weights: Optional[Union[str, list[str]]] = Field(
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default_factory=list,
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title="Internal value used for PTZ movements based on the speed of your camera's motor.",
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)
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enabled_in_config: Optional[bool] = Field(
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default=None, title="Keep track of original state of autotracking."
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)
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@field_validator("movement_weights", mode="before")
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@classmethod
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def validate_weights(cls, v):
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if v is None:
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return None
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if isinstance(v, str):
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weights = list(map(str, map(float, v.split(","))))
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elif isinstance(v, list):
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weights = [str(float(val)) for val in v]
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else:
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raise ValueError("Invalid type for movement_weights")
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if len(weights) != 5:
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raise ValueError("movement_weights must have exactly 5 floats")
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return weights
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class OnvifConfig(FrigateBaseModel):
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host: str = Field(default="", title="Onvif Host")
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port: int = Field(default=8000, title="Onvif Port")
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user: Optional[EnvString] = Field(default=None, title="Onvif Username")
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password: Optional[EnvString] = Field(default=None, title="Onvif Password")
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autotracking: PtzAutotrackConfig = Field(
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default_factory=PtzAutotrackConfig,
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title="PTZ auto tracking config.",
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)
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ignore_time_mismatch: bool = Field(
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default=False,
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title="Onvif Ignore Time Synchronization Mismatch Between Camera and Server",
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)
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