blakeblackshear.frigate/frigate/events/maintainer.py

231 lines
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Python
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import datetime
import logging
import queue
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import threading
from enum import Enum
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from peewee import fn
from frigate.config import EventsConfig, FrigateConfig
from frigate.models import Event
from frigate.types import CameraMetricsTypes
from frigate.util import to_relative_box
from multiprocessing.queues import Queue
from multiprocessing.synchronize import Event as MpEvent
from typing import Dict
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logger = logging.getLogger(__name__)
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class EventTypeEnum(str, Enum):
api = "api"
# audio = "audio"
tracked_object = "tracked_object"
def should_update_db(prev_event: Event, current_event: Event) -> bool:
"""If current_event has updated fields and (clip or snapshot)."""
if current_event["has_clip"] or current_event["has_snapshot"]:
# if this is the first time has_clip or has_snapshot turned true
if not prev_event["has_clip"] and not prev_event["has_snapshot"]:
return True
# or if any of the following values changed
if (
prev_event["top_score"] != current_event["top_score"]
or prev_event["entered_zones"] != current_event["entered_zones"]
or prev_event["thumbnail"] != current_event["thumbnail"]
or prev_event["end_time"] != current_event["end_time"]
):
return True
return False
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class EventProcessor(threading.Thread):
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def __init__(
self,
config: FrigateConfig,
camera_processes: dict[str, CameraMetricsTypes],
event_queue: Queue,
event_processed_queue: Queue,
timeline_queue: Queue,
stop_event: MpEvent,
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):
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threading.Thread.__init__(self)
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self.name = "event_processor"
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self.config = config
self.camera_processes = camera_processes
self.event_queue = event_queue
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self.event_processed_queue = event_processed_queue
self.timeline_queue = timeline_queue
self.events_in_process: Dict[str, Event] = {}
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self.stop_event = stop_event
def run(self) -> None:
# set an end_time on events without an end_time on startup
Event.update(end_time=Event.start_time + 30).where(
Event.end_time == None
).execute()
while not self.stop_event.is_set():
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try:
source_type, event_type, camera, event_data = self.event_queue.get(
timeout=1
)
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except queue.Empty:
continue
logger.debug(f"Event received: {event_type} {camera} {event_data['id']}")
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self.timeline_queue.put(
(
camera,
source_type,
event_type,
self.events_in_process.get(event_data["id"]),
event_data,
)
)
if source_type == EventTypeEnum.tracked_object:
if event_type == "start":
self.events_in_process[event_data["id"]] = event_data
continue
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self.handle_object_detection(event_type, camera, event_data)
elif source_type == EventTypeEnum.api:
self.handle_external_detection(event_type, event_data)
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# set an end_time on events without an end_time before exiting
Event.update(end_time=datetime.datetime.now().timestamp()).where(
Event.end_time == None
).execute()
logger.info(f"Exiting event processor...")
def handle_object_detection(
self,
event_type: str,
camera: str,
event_data: Event,
) -> None:
"""handle tracked object event updates."""
# if this is the first message, just store it and continue, its not time to insert it in the db
if should_update_db(self.events_in_process[event_data["id"]], event_data):
camera_config = self.config.cameras[camera]
event_config: EventsConfig = camera_config.record.events
width = camera_config.detect.width
height = camera_config.detect.height
first_detector = list(self.config.detectors.values())[0]
start_time = event_data["start_time"] - event_config.pre_capture
end_time = (
None
if event_data["end_time"] is None
else event_data["end_time"] + event_config.post_capture
)
# score of the snapshot
score = (
None
if event_data["snapshot"] is None
else event_data["snapshot"]["score"]
)
# detection region in the snapshot
region = (
None
if event_data["snapshot"] is None
else to_relative_box(
width,
height,
event_data["snapshot"]["region"],
)
)
# bounding box for the snapshot
box = (
None
if event_data["snapshot"] is None
else to_relative_box(
width,
height,
event_data["snapshot"]["box"],
)
)
# keep these from being set back to false because the event
# may have started while recordings and snapshots were enabled
# this would be an issue for long running events
if self.events_in_process[event_data["id"]]["has_clip"]:
event_data["has_clip"] = True
if self.events_in_process[event_data["id"]]["has_snapshot"]:
event_data["has_snapshot"] = True
event = {
Event.id: event_data["id"],
Event.label: event_data["label"],
Event.camera: camera,
Event.start_time: start_time,
Event.end_time: end_time,
Event.zones: list(event_data["entered_zones"]),
Event.thumbnail: event_data["thumbnail"],
Event.has_clip: event_data["has_clip"],
Event.has_snapshot: event_data["has_snapshot"],
Event.model_hash: first_detector.model.model_hash,
Event.model_type: first_detector.model.model_type,
Event.detector_type: first_detector.type,
Event.data: {
"box": box,
"region": region,
"score": score,
"top_score": event_data["top_score"],
},
}
(
Event.insert(event)
.on_conflict(
conflict_target=[Event.id],
update=event,
)
.execute()
)
# update the stored copy for comparison on future update messages
self.events_in_process[event_data["id"]] = event_data
if event_type == "end":
del self.events_in_process[event_data["id"]]
self.event_processed_queue.put((event_data["id"], camera))
def handle_external_detection(self, type: str, event_data: Event):
if type == "new":
event = {
Event.id: event_data["id"],
Event.label: event_data["label"],
Event.sub_label: event_data["sub_label"],
Event.camera: event_data["camera"],
Event.start_time: event_data["start_time"],
Event.end_time: event_data["end_time"],
Event.thumbnail: event_data["thumbnail"],
Event.has_clip: event_data["has_clip"],
Event.has_snapshot: event_data["has_snapshot"],
Event.zones: [],
Event.data: {},
}
elif type == "end":
event = {
Event.id: event_data["id"],
Event.end_time: event_data["end_time"],
}
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try:
(
Event.insert(event)
.on_conflict(
conflict_target=[Event.id],
update=event,
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)
.execute()
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)
except Exception:
logger.warning(f"Failed to update manual event: {event_data['id']}")