blakeblackshear.frigate/frigate/timeline.py
2023-11-06 06:42:10 -06:00

113 lines
4.0 KiB
Python

"""Record events for object, audio, etc. detections."""
import logging
import queue
import threading
from multiprocessing import Queue
from multiprocessing.synchronize import Event as MpEvent
from frigate.config import FrigateConfig
from frigate.events.maintainer import EventTypeEnum
from frigate.models import Timeline
from frigate.util.builtin import to_relative_box
logger = logging.getLogger(__name__)
class TimelineProcessor(threading.Thread):
"""Handle timeline queue and update DB."""
def __init__(
self,
config: FrigateConfig,
queue: Queue,
stop_event: MpEvent,
) -> None:
threading.Thread.__init__(self)
self.name = "timeline_processor"
self.config = config
self.queue = queue
self.stop_event = stop_event
def run(self) -> None:
while not self.stop_event.is_set():
try:
(
camera,
input_type,
event_type,
prev_event_data,
event_data,
) = self.queue.get(timeout=1)
except queue.Empty:
continue
if input_type == EventTypeEnum.tracked_object:
self.handle_object_detection(
camera, event_type, prev_event_data, event_data
)
def handle_object_detection(
self,
camera: str,
event_type: str,
prev_event_data: dict[any, any],
event_data: dict[any, any],
) -> None:
"""Handle object detection."""
camera_config = self.config.cameras[camera]
timeline_entry = {
Timeline.timestamp: event_data["frame_time"],
Timeline.camera: camera,
Timeline.source: "tracked_object",
Timeline.source_id: event_data["id"],
Timeline.data: {
"box": to_relative_box(
camera_config.detect.width,
camera_config.detect.height,
event_data["box"],
),
"label": event_data["label"],
"region": to_relative_box(
camera_config.detect.width,
camera_config.detect.height,
event_data["region"],
),
"attribute": "",
},
}
if event_type == "start":
timeline_entry[Timeline.class_type] = "visible"
Timeline.insert(timeline_entry).execute()
elif event_type == "update":
# zones have been updated
if (
prev_event_data["current_zones"] != event_data["current_zones"]
and len(event_data["current_zones"]) > 0
and not event_data["stationary"]
):
timeline_entry[Timeline.class_type] = "entered_zone"
timeline_entry[Timeline.data]["zones"] = event_data["current_zones"]
Timeline.insert(timeline_entry).execute()
elif prev_event_data["stationary"] != event_data["stationary"]:
timeline_entry[Timeline.class_type] = (
"stationary" if event_data["stationary"] else "active"
)
Timeline.insert(timeline_entry).execute()
elif prev_event_data["attributes"] == {} and event_data["attributes"] != {}:
timeline_entry[Timeline.class_type] = "attribute"
timeline_entry[Timeline.data]["attribute"] = list(
event_data["attributes"].keys()
)[0]
Timeline.insert(timeline_entry).execute()
elif event_type == "end":
if event_data["has_clip"] or event_data["has_snapshot"]:
timeline_entry[Timeline.class_type] = "gone"
Timeline.insert(timeline_entry).execute()
else:
# if event was not saved then the timeline entries should be deleted
Timeline.delete().where(
Timeline.source_id == event_data["id"]
).execute()