blakeblackshear.frigate/frigate/timeline.py
Nicolas Mowen af3f6dadcb Improve graph using pandas (#9234)
* Ensure viewport is always full screen

* Protect against hour with no cards and ensure data is consistent

* Reduce grouped up image refreshes

* Include current hour and fix scrubbing bugginess

* Scroll initially selected timeline in to view

* Expand timelne class type

* Use poster image for preview on video player instead of using separate image view

* Fix available streaming modes

* Incrase timing for grouping timline items

* Fix audio activity listener

* Fix player not switching views correctly

* Use player time to convert to timeline time

* Update sub labels for previous timeline items

* Show mini timeline bar for non selected items

* Rewrite desktop timeline to use separate dynamic video player component

* Extend improvements to mobile as well

* Improve time formatting

* Fix scroll

* Fix no preview case

* Mobile fixes

* Audio toggle fixes

* More fixes for mobile

* Improve scaling of graph motion activity

* Add keyboard shortcut hook and support shortcuts for playback page

* Fix sizing of dialog

* Improve height scaling of dialog

* simplify and fix layout system for timeline

* Fix timeilne items not working

* Implement basic Frigate+ submitting from timeline
2024-01-31 12:56:11 +00:00

185 lines
6.4 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
self.pre_event_cache: dict[str, list[dict[str, any]]] = {}
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
)
elif input_type == EventTypeEnum.api:
self.handle_api_entry(camera, event_type, event_data)
def insert_or_save(
self,
entry: dict[str, any],
prev_event_data: dict[any, any],
event_data: dict[any, any],
) -> None:
"""Insert into db or cache."""
id = entry[Timeline.source_id]
if not event_data["has_clip"] and not event_data["has_snapshot"]:
# the related event has not been saved yet, should be added to cache
if id in self.pre_event_cache.keys():
self.pre_event_cache[id].append(entry)
else:
self.pre_event_cache[id] = [entry]
else:
# the event is saved, insert to db and insert cached into db
if id in self.pre_event_cache.keys():
for e in self.pre_event_cache[id]:
Timeline.insert(e).execute()
self.pre_event_cache.pop(id)
Timeline.insert(entry).execute()
def handle_object_detection(
self,
camera: str,
event_type: str,
prev_event_data: dict[any, any],
event_data: dict[any, any],
) -> bool:
"""Handle object detection."""
save = False
camera_config = self.config.cameras[camera]
event_id = event_data["id"]
timeline_entry = {
Timeline.timestamp: event_data["frame_time"],
Timeline.camera: camera,
Timeline.source: "tracked_object",
Timeline.source_id: event_id,
Timeline.data: {
"box": to_relative_box(
camera_config.detect.width,
camera_config.detect.height,
event_data["box"],
),
"label": event_data["label"],
"sub_label": event_data.get("sub_label"),
"region": to_relative_box(
camera_config.detect.width,
camera_config.detect.height,
event_data["region"],
),
"attribute": "",
},
}
# update sub labels for existing entries that haven't been added yet
if (
prev_event_data != None
and prev_event_data["sub_label"] != event_data["sub_label"]
and event_id in self.pre_event_cache.keys()
):
for e in self.pre_event_cache[event_id]:
e[Timeline.data]["sub_label"] = event_data["sub_label"]
if event_type == "start":
timeline_entry[Timeline.class_type] = "visible"
save = True
elif event_type == "update":
if (
len(prev_event_data["current_zones"]) < len(event_data["current_zones"])
and not event_data["stationary"]
):
timeline_entry[Timeline.class_type] = "entered_zone"
timeline_entry[Timeline.data]["zones"] = event_data["current_zones"]
save = True
elif prev_event_data["stationary"] != event_data["stationary"]:
timeline_entry[Timeline.class_type] = (
"stationary" if event_data["stationary"] else "active"
)
save = True
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]
save = True
elif event_type == "end":
timeline_entry[Timeline.class_type] = "gone"
save = True
if save:
self.insert_or_save(timeline_entry, prev_event_data, event_data)
def handle_api_entry(
self,
camera: str,
event_type: str,
event_data: dict[any, any],
) -> bool:
if event_type != "new":
return False
if event_data.get("type", "api") == "audio":
timeline_entry = {
Timeline.class_type: "heard",
Timeline.timestamp: event_data["start_time"],
Timeline.camera: camera,
Timeline.source: "audio",
Timeline.source_id: event_data["id"],
Timeline.data: {
"label": event_data["label"],
"sub_label": event_data.get("sub_label"),
},
}
else:
timeline_entry = {
Timeline.class_type: "external",
Timeline.timestamp: event_data["start_time"],
Timeline.camera: camera,
Timeline.source: "api",
Timeline.source_id: event_data["id"],
Timeline.data: {
"label": event_data["label"],
"sub_label": event_data.get("sub_label"),
},
}
Timeline.insert(timeline_entry).execute()
return True