mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-12-23 19:11:14 +01:00
a1e5c658d5
* Add filter popover * Add api filter hook and use UI with filtering * Get history filtering working for cameras and labels * Allow filtering on detail level * Save timeline entries for api events * reset * fix width
284 lines
10 KiB
Python
284 lines
10 KiB
Python
import datetime
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import logging
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import queue
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import threading
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from enum import Enum
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from multiprocessing import Queue
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from multiprocessing.synchronize import Event as MpEvent
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from typing import Dict
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from frigate.config import EventsConfig, FrigateConfig
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from frigate.models import Event
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from frigate.types import CameraMetricsTypes
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from frigate.util.builtin import to_relative_box
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logger = logging.getLogger(__name__)
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class EventTypeEnum(str, Enum):
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api = "api"
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tracked_object = "tracked_object"
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def should_update_db(prev_event: Event, current_event: Event) -> bool:
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"""If current_event has updated fields and (clip or snapshot)."""
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if current_event["has_clip"] or current_event["has_snapshot"]:
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# if this is the first time has_clip or has_snapshot turned true
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if not prev_event["has_clip"] and not prev_event["has_snapshot"]:
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return True
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# or if any of the following values changed
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if (
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prev_event["top_score"] != current_event["top_score"]
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or prev_event["entered_zones"] != current_event["entered_zones"]
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or prev_event["thumbnail"] != current_event["thumbnail"]
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or prev_event["end_time"] != current_event["end_time"]
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):
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return True
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return False
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def should_update_state(prev_event: Event, current_event: Event) -> bool:
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"""If current event should update state, but not necessarily update the db."""
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if prev_event["stationary"] != current_event["stationary"]:
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return True
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if prev_event["attributes"] != current_event["attributes"]:
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return True
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if prev_event["sub_label"] != current_event["sub_label"]:
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return True
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if len(prev_event["current_zones"]) < len(current_event["current_zones"]):
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return True
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return False
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class EventProcessor(threading.Thread):
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def __init__(
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self,
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config: FrigateConfig,
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camera_processes: dict[str, CameraMetricsTypes],
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event_queue: Queue,
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event_processed_queue: Queue,
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timeline_queue: Queue,
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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
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self.camera_processes = camera_processes
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self.event_queue = event_queue
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self.event_processed_queue = event_processed_queue
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self.timeline_queue = timeline_queue
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self.events_in_process: Dict[str, Event] = {}
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self.stop_event = stop_event
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def run(self) -> None:
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# set an end_time on events without an end_time on startup
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Event.update(end_time=Event.start_time + 30).where(
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Event.end_time == None
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).execute()
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while not self.stop_event.is_set():
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try:
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source_type, event_type, camera, event_data = self.event_queue.get(
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timeout=1
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)
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except queue.Empty:
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continue
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logger.debug(
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f"Event received: {source_type} {event_type} {camera} {event_data['id']}"
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)
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if source_type == EventTypeEnum.tracked_object:
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self.timeline_queue.put(
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(
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camera,
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source_type,
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event_type,
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self.events_in_process.get(event_data["id"]),
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event_data,
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)
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)
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if event_type == "start":
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self.events_in_process[event_data["id"]] = event_data
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continue
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self.handle_object_detection(event_type, camera, event_data)
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elif source_type == EventTypeEnum.api:
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self.timeline_queue.put(
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(
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camera,
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source_type,
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event_type,
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{},
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event_data,
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)
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)
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self.handle_external_detection(event_type, event_data)
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# set an end_time on events without an end_time before exiting
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Event.update(end_time=datetime.datetime.now().timestamp()).where(
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Event.end_time == None
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).execute()
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logger.info("Exiting event processor...")
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def handle_object_detection(
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self,
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event_type: str,
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camera: str,
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event_data: Event,
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) -> None:
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"""handle tracked object event updates."""
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updated_db = False
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# if this is the first message, just store it and continue, its not time to insert it in the db
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if should_update_db(self.events_in_process[event_data["id"]], event_data):
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updated_db = True
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camera_config = self.config.cameras[camera]
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event_config: EventsConfig = camera_config.record.events
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width = camera_config.detect.width
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height = camera_config.detect.height
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first_detector = list(self.config.detectors.values())[0]
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start_time = event_data["start_time"] - event_config.pre_capture
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end_time = (
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None
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if event_data["end_time"] is None
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else event_data["end_time"] + event_config.post_capture
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)
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# score of the snapshot
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score = (
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None
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if event_data["snapshot"] is None
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else event_data["snapshot"]["score"]
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)
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# detection region in the snapshot
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region = (
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None
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if event_data["snapshot"] is None
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else to_relative_box(
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width,
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height,
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event_data["snapshot"]["region"],
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)
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)
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# bounding box for the snapshot
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box = (
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None
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if event_data["snapshot"] is None
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else to_relative_box(
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width,
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height,
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event_data["snapshot"]["box"],
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)
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)
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attributes = [
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(
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None
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if event_data["snapshot"] is None
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else {
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"box": to_relative_box(
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width,
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height,
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a["box"],
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),
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"label": a["label"],
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"score": a["score"],
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}
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)
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for a in event_data["snapshot"]["attributes"]
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]
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# keep these from being set back to false because the event
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# may have started while recordings and snapshots were enabled
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# this would be an issue for long running events
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if self.events_in_process[event_data["id"]]["has_clip"]:
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event_data["has_clip"] = True
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if self.events_in_process[event_data["id"]]["has_snapshot"]:
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event_data["has_snapshot"] = True
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event = {
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Event.id: event_data["id"],
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Event.label: event_data["label"],
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Event.camera: camera,
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Event.start_time: start_time,
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Event.end_time: end_time,
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Event.zones: list(event_data["entered_zones"]),
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Event.thumbnail: event_data["thumbnail"],
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Event.has_clip: event_data["has_clip"],
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Event.has_snapshot: event_data["has_snapshot"],
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Event.model_hash: first_detector.model.model_hash,
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Event.model_type: first_detector.model.model_type,
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Event.detector_type: first_detector.type,
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Event.data: {
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"box": box,
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"region": region,
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"score": score,
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"top_score": event_data["top_score"],
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"attributes": attributes,
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"type": "object",
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},
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}
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# only overwrite the sub_label in the database if it's set
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if event_data.get("sub_label") is not None:
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event[Event.sub_label] = event_data["sub_label"][0]
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event[Event.data]["sub_label_score"] = event_data["sub_label"][1]
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(
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Event.insert(event)
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.on_conflict(
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conflict_target=[Event.id],
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update=event,
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)
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.execute()
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)
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# check if the stored event_data should be updated
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if updated_db or should_update_state(
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self.events_in_process[event_data["id"]], event_data
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):
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# update the stored copy for comparison on future update messages
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self.events_in_process[event_data["id"]] = event_data
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if event_type == "end":
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del self.events_in_process[event_data["id"]]
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self.event_processed_queue.put((event_data["id"], camera))
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def handle_external_detection(self, event_type: str, event_data: Event) -> None:
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if event_type == "new":
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event = {
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Event.id: event_data["id"],
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Event.label: event_data["label"],
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Event.sub_label: event_data["sub_label"],
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Event.camera: event_data["camera"],
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Event.start_time: event_data["start_time"],
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Event.end_time: event_data["end_time"],
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Event.thumbnail: event_data["thumbnail"],
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Event.has_clip: event_data["has_clip"],
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Event.has_snapshot: event_data["has_snapshot"],
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Event.zones: [],
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Event.data: {
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"type": event_data["type"],
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"score": event_data["score"],
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"top_score": event_data["score"],
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},
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}
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Event.insert(event).execute()
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elif event_type == "end":
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event = {
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Event.id: event_data["id"],
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Event.end_time: event_data["end_time"],
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}
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try:
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Event.update(event).where(Event.id == event_data["id"]).execute()
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except Exception:
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logger.warning(f"Failed to update manual event: {event_data['id']}")
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