Files
blakeblackshear.frigate/frigate/api/defs/request/events_body.py
nulledy f49775e89a Allow API Events to be Detections or Alerts, depending on the Event Label (#21923)
* - API created events will be alerts OR detections, depending on the event label, defaulting to alerts
- Indefinite API events will extend the recording segment until those events are ended
- API event start time is the actual start time, instead of having a pre-buffer of record.event_pre_capture

* Instead of checking for indefinite events on a camera before deciding if we should end the segment, only update last_detection_time and last_alert_time if frame_time is greater, which should have the same effect

* Add the ability to set a pre_capture number of seconds when creating a manual event via the API. Default behavior unchanged

* Remove unnecessary _publish_segment_start() call

* Formatting

* handle last_alert_time or last_detection_time being None when checking them against the frame_time

* comment manual_info["label"].split(": ")[0] for clarity
2026-02-18 10:52:12 -07:00

63 lines
1.6 KiB
Python

from typing import List, Optional, Union
from pydantic import BaseModel, Field
from frigate.config.classification import TriggerType
class EventsSubLabelBody(BaseModel):
subLabel: str = Field(title="Sub label", max_length=100)
subLabelScore: Optional[float] = Field(
title="Score for sub label", default=None, gt=0.0, le=1.0
)
camera: Optional[str] = Field(
title="Camera this object is detected on.", default=None
)
class EventsLPRBody(BaseModel):
recognizedLicensePlate: str = Field(
title="Recognized License Plate", max_length=100
)
recognizedLicensePlateScore: Optional[float] = Field(
title="Score for recognized license plate", default=None, gt=0.0, le=1.0
)
class EventsAttributesBody(BaseModel):
attributes: List[str] = Field(
title="Selected classification attributes for the event",
default_factory=list,
)
class EventsDescriptionBody(BaseModel):
description: Union[str, None] = Field(title="The description of the event")
class EventsCreateBody(BaseModel):
sub_label: Optional[str] = None
score: Optional[float] = 0
duration: Optional[int] = 30
include_recording: Optional[bool] = True
draw: Optional[dict] = {}
pre_capture: Optional[int] = None
class EventsEndBody(BaseModel):
end_time: Optional[float] = None
class EventsDeleteBody(BaseModel):
event_ids: List[str] = Field(title="The event IDs to delete")
class SubmitPlusBody(BaseModel):
include_annotation: int = Field(default=1)
class TriggerEmbeddingBody(BaseModel):
type: TriggerType
data: str
threshold: float = Field(default=0.5, ge=0.0, le=1.0)