frigate/frigate/api/defs/request/events_body.py
Josh Hawkins 6a0e31dcf9
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Add object classification attributes to Tracked Object Details (#21348)
* attributes endpoint

* event endpoints

* add attributes to more filters

* add to suggestions and query in explore

* support attributes in search input

* i18n

* add object type filter to endpoint

* add attributes to tracked object details pane

* add generic multi select dialog

* save object attributes endpoint

* add group by param to fetch attributes endpoint

* add attribute editing to tracked object details

* docs

* fix docs

* update openapi spec to match python
2025-12-18 08:35:47 -06:00

62 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] = {}
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)