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* Pin ruff * Add python upgrade fixes This enables python upgrade checks in ruff to look for deprecated types and patterns. This namely fixes: - usage of deprecated `Typing` which is now built in - some specific exceptions which are caught and have new aliases Some specific UP checks were also ignored as they are stylistic / unimportant and likely to cause bugs * Remove async blocking calls Use asyncio.to_thread on two remaining blocking calls to fix hanging event thread loop. Enable this specific rule to block it in the future. * Use proper logging mechanism * Correctly format logs * Raise with context When raising an exception include the from context to improve debugging * Cleanup
178 lines
5.6 KiB
Python
178 lines
5.6 KiB
Python
from enum import Enum
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from pydantic import Field
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from frigate.const import MAX_PRE_CAPTURE
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from frigate.review.types import SeverityEnum
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from ..base import FrigateBaseModel
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__all__ = [
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"ChaptersEnum",
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"RecordConfig",
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"RecordExportConfig",
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"RecordPreviewConfig",
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"RecordQualityEnum",
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"EventsConfig",
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"ReviewRetainConfig",
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"RecordRetainConfig",
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"RetainModeEnum",
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]
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class RecordRetainConfig(FrigateBaseModel):
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days: float = Field(
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default=0,
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ge=0,
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title="Retention days",
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description="Days to retain recordings.",
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)
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class RetainModeEnum(str, Enum):
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all = "all"
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motion = "motion"
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active_objects = "active_objects"
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class ReviewRetainConfig(FrigateBaseModel):
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days: float = Field(
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default=10,
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ge=0,
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title="Retention days",
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description="Number of days to retain recordings of detection events.",
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)
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mode: RetainModeEnum = Field(
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default=RetainModeEnum.motion,
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title="Retention mode",
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description="Mode for retention: all (save all segments), motion (save segments with motion), or active_objects (save segments with active objects).",
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)
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class EventsConfig(FrigateBaseModel):
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pre_capture: int = Field(
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default=5,
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title="Pre-capture seconds",
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description="Number of seconds before the detection event to include in the recording.",
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le=MAX_PRE_CAPTURE,
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ge=0,
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)
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post_capture: int = Field(
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default=5,
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ge=0,
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title="Post-capture seconds",
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description="Number of seconds after the detection event to include in the recording.",
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)
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retain: ReviewRetainConfig = Field(
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default_factory=ReviewRetainConfig,
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title="Event retention",
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description="Retention settings for recordings of detection events.",
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)
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class RecordQualityEnum(str, Enum):
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very_low = "very_low"
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low = "low"
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medium = "medium"
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high = "high"
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very_high = "very_high"
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class RecordPreviewConfig(FrigateBaseModel):
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quality: RecordQualityEnum = Field(
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default=RecordQualityEnum.medium,
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title="Preview quality",
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description="Preview quality level (very_low, low, medium, high, very_high).",
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)
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class ChaptersEnum(str, Enum):
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none = "none"
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recording_segments = "recording_segments"
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review_items = "review_items"
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class RecordExportConfig(FrigateBaseModel):
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hwaccel_args: str | list[str] = Field(
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default="auto",
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title="Export hwaccel args",
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description="Hardware acceleration args to use for export/transcode operations.",
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)
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max_concurrent: int = Field(
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default=3,
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ge=1,
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title="Maximum concurrent exports",
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description="Maximum number of export jobs to process at the same time.",
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)
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chapters: ChaptersEnum = Field(
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default=ChaptersEnum.review_items,
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title="Chapter metadata to embed in exported recordings",
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)
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class RecordConfig(FrigateBaseModel):
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enabled: bool = Field(
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default=False,
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title="Enable recording",
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description="Enable or disable recording for all cameras; can be overridden per-camera.",
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)
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expire_interval: int = Field(
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default=60,
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title="Record cleanup interval",
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description="Minutes between cleanup passes that remove expired recording segments.",
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)
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continuous: RecordRetainConfig = Field(
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default_factory=RecordRetainConfig,
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title="Continuous retention",
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description="Number of days to retain recordings regardless of tracked objects or motion. Set to 0 if you only want to retain recordings of alerts and detections.",
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)
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motion: RecordRetainConfig = Field(
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default_factory=RecordRetainConfig,
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title="Motion retention",
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description="Number of days to retain recordings triggered by motion regardless of tracked objects. Set to 0 if you only want to retain recordings of alerts and detections.",
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)
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detections: EventsConfig = Field(
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default_factory=EventsConfig,
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title="Detection retention",
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description="Recording retention settings for detection events including pre/post capture durations.",
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)
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alerts: EventsConfig = Field(
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default_factory=EventsConfig,
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title="Alert retention",
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description="Recording retention settings for alert events including pre/post capture durations.",
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)
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export: RecordExportConfig = Field(
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default_factory=RecordExportConfig,
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title="Export config",
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description="Settings used when exporting recordings such as timelapse and hardware acceleration.",
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)
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preview: RecordPreviewConfig = Field(
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default_factory=RecordPreviewConfig,
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title="Preview config",
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description="Settings controlling the quality of recording previews shown in the UI.",
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)
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enabled_in_config: bool | None = Field(
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default=None,
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title="Original recording state",
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description="Indicates whether recording was enabled in the original static configuration.",
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)
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@property
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def event_pre_capture(self) -> int:
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return max(
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self.alerts.pre_capture,
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self.detections.pre_capture,
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)
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def get_review_pre_capture(self, severity: SeverityEnum) -> int:
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if severity == SeverityEnum.alert:
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return self.alerts.pre_capture
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else:
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return self.detections.pre_capture
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def get_review_post_capture(self, severity: SeverityEnum) -> int:
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if severity == SeverityEnum.alert:
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return self.alerts.post_capture
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else:
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return self.detections.post_capture
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