frigate/frigate/app.py
Josh Hawkins c93dad9bd9
Camera profile support (#22482)
* add CameraProfileConfig model for named config overrides

* add profiles field to CameraConfig

* add active_profile field to FrigateConfig

Runtime-only field excluded from YAML serialization, tracks which
profile is currently active.

* add ProfileManager for profile activation and persistence

Handles snapshotting base configs, applying profile overrides via
deep_merge + apply_section_update, publishing ZMQ updates, and
persisting active profile to /config/.active_profile.

* add profile API endpoints (GET /profiles, GET/PUT /profile)

* add MQTT and dispatcher integration for profiles

- Subscribe to frigate/profile/set MQTT topic
- Publish profile/state and profiles/available on connect
- Add _on_profile_command handler to dispatcher
- Broadcast active profile state on WebSocket connect

* wire ProfileManager into app startup and FastAPI

- Create ProfileManager after dispatcher init
- Restore persisted profile on startup
- Pass dispatcher and profile_manager to FastAPI app

* add tests for invalid profile values and keys

Tests that Pydantic rejects: invalid field values (fps: "not_a_number"),
unknown section keys (ffmpeg in profile), invalid nested values, and
invalid profiles in full config parsing.

* formatting

* fix CameraLiveConfig JSON serialization error on profile activation

refactor _publish_updates to only publish ZMQ updates for
sections that actually changed, not all sections on affected cameras.

* consolidate

* add enabled field to camera profiles for enabling/disabling cameras

* add zones support to camera profiles

* add frontend profile types, color utility, and config save support

* add profile state management and save preview support

* add profileName prop to BaseSection for profile-aware config editing

* add profile section dropdown and wire into camera settings pages

* add per-profile camera enable/disable to Camera Management view

* add profiles summary page with card-based layout and fix backend zone comparison bug

* add active profile badge to settings toolbar

* i18n

* add red dot for any pending changes including profiles

* profile support for mask and zone editor

* fix hidden field validation errors caused by lodash wildcard and schema gaps

lodash unset does not support wildcard (*) segments, so hidden fields like
filters.*.mask were never stripped from form data, leaving null raw_coordinates
that fail RJSF anyOf validation. Add unsetWithWildcard helper and also strip
hidden fields from the JSON schema itself as defense-in-depth.

* add face_recognition and lpr to profile-eligible sections

* move profile dropdown from section panes to settings header

* add profiles enable toggle and improve empty state

* formatting

* tweaks

* tweak colors and switch

* fix profile save diff, masksAndZones delete, and config sync

* ui tweaks

* ensure profile manager gets updated config

* rename profile settings to ui settings

* refactor profilesview and add dots/border colors when overridden

* implement an update_config method for profile manager

* fix mask deletion

* more unique colors

* add top-level profiles config section with friendly names

* implement profile friendly names and improve profile UI

- Add ProfileDefinitionConfig type and profiles field to FrigateConfig
- Use ProfilesApiResponse type with friendly_name support throughout
- Replace Record<string, unknown> with proper JsonObject/JsonValue types
- Add profile creation form matching zone pattern (Zod + NameAndIdFields)
- Add pencil icon for renaming profile friendly names in ProfilesView
- Move Profiles menu item to first under Camera Configuration
- Add activity indicators on save/rename/delete buttons
- Display friendly names in CameraManagementView profile selector
- Fix duplicate colored dots in management profile dropdown
- Fix i18n namespace for overridden base config tooltips
- Move profile override deletion from dropdown trash icon to footer
  button with confirmation dialog, matching Reset to Global pattern
- Remove Add Profile from section header dropdown to prevent saving
  camera overrides before top-level profile definition exists
- Clean up newProfiles state after API profile deletion
- Refresh profiles SWR cache after saving profile definitions

* remove profile badge in settings and add profiles to main menu

* use icon only on mobile

* change color order

* docs

* show activity indicator on trash icon while deleting a profile

* tweak language

* immediately create profiles on backend instead of deferring to Save All

* hide restart-required fields when editing a profile section

fields that require a restart cannot take effect via profile switching,
so they are merged into hiddenFields when profileName is set

* show active profile indicator in desktop status bar

* fix profile config inheritance bug where Pydantic defaults override base values

The /config API was dumping profile overrides with model_dump() which included
all Pydantic defaults. When the frontend merged these over
the camera's base config, explicitly-set base values were
lost. Now profile overrides are re-dumped with exclude_unset=True so only
user-specified fields are returned.

Also fixes the Save All path generating spurious deletion markers for
restart-required fields that are hidden during profile
editing but not excluded from the raw data sanitization in
prepareSectionSavePayload.

* docs tweaks

* docs tweak

* formatting

* formatting

* fix typing

* fix test pollution

test_maintainer was injecting MagicMock() into sys.modules["frigate.config.camera.updater"] at module load time and never restoring it. When the profile tests later imported CameraConfigUpdateEnum and CameraConfigUpdateTopic from that module, they got mock objects instead of the real dataclass/enum, so equality comparisons always failed

* remove

* fix settings showing profile-merged values when editing base config

When a profile is active, the in-memory config contains effective
(profile-merged) values. The settings UI was displaying these merged
values even when the "Base Config" view was selected.

Backend: snapshot pre-profile base configs in ProfileManager and expose
them via a `base_config` key in the /api/config camera response when a
profile is active. The top-level sections continue to reflect the
effective running config.

Frontend: read from `base_config` when available in BaseSection,
useConfigOverride, useAllCameraOverrides, and prepareSectionSavePayload.
Include formData labels in Object/Audio switches widgets so that labels
added only by a profile override remain visible when editing that profile.

* use rasterized_mask as field

makes it easier to exclude from the schema with exclude=True
prevents leaking of the field when using model_dump for profiles

* fix zones

- Fix zone colors not matching across profiles by falling back to base zone color when profile zone data lacks a color field
- Use base_config for base-layer values in masks/zones view so profile-merged values don't pollute the base config editing view
- Handle zones separately in profile manager snapshot/restore since ZoneConfig requires special serialization (color as private attr, contour generation)
- Inherit base zone color and generate contours for profile zone overrides in profile manager

* formatting

* don't require restart for camera enabled change for profiles

* publish camera state when changing profiles

* formatting

* remove available profiles from mqtt

* improve typing
2026-03-19 09:47:57 -05:00

696 lines
24 KiB
Python

import datetime
import logging
import multiprocessing as mp
import os
import secrets
import shutil
from multiprocessing import Queue
from multiprocessing.managers import DictProxy, SyncManager
from multiprocessing.synchronize import Event as MpEvent
from pathlib import Path
from typing import Optional
import psutil
import uvicorn
from peewee_migrate import Router
from playhouse.sqlite_ext import SqliteExtDatabase
from frigate.api.auth import hash_password
from frigate.api.fastapi_app import create_fastapi_app
from frigate.camera import CameraMetrics, PTZMetrics
from frigate.camera.maintainer import CameraMaintainer
from frigate.comms.base_communicator import Communicator
from frigate.comms.dispatcher import Dispatcher
from frigate.comms.event_metadata_updater import EventMetadataPublisher
from frigate.comms.inter_process import InterProcessCommunicator
from frigate.comms.mqtt import MqttClient
from frigate.comms.object_detector_signaler import DetectorProxy
from frigate.comms.webpush import WebPushClient
from frigate.comms.ws import WebSocketClient
from frigate.comms.zmq_proxy import ZmqProxy
from frigate.config.camera.updater import CameraConfigUpdatePublisher
from frigate.config.config import FrigateConfig
from frigate.config.profile_manager import ProfileManager
from frigate.const import (
CACHE_DIR,
CLIPS_DIR,
CONFIG_DIR,
EXPORT_DIR,
FACE_DIR,
MODEL_CACHE_DIR,
RECORD_DIR,
THUMB_DIR,
TRIGGER_DIR,
)
from frigate.data_processing.types import DataProcessorMetrics
from frigate.db.sqlitevecq import SqliteVecQueueDatabase
from frigate.debug_replay import (
DebugReplayManager,
cleanup_replay_cameras,
)
from frigate.embeddings import EmbeddingProcess, EmbeddingsContext
from frigate.events.audio import AudioProcessor
from frigate.events.cleanup import EventCleanup
from frigate.events.maintainer import EventProcessor
from frigate.jobs.motion_search import stop_all_motion_search_jobs
from frigate.log import _stop_logging
from frigate.models import (
Event,
Export,
Previews,
Recordings,
RecordingsToDelete,
Regions,
ReviewSegment,
Timeline,
Trigger,
User,
)
from frigate.object_detection.base import ObjectDetectProcess
from frigate.output.output import OutputProcess
from frigate.ptz.autotrack import PtzAutoTrackerThread
from frigate.ptz.onvif import OnvifController
from frigate.record.cleanup import RecordingCleanup
from frigate.record.export import migrate_exports
from frigate.record.record import RecordProcess
from frigate.review.review import ReviewProcess
from frigate.stats.emitter import StatsEmitter
from frigate.stats.util import stats_init
from frigate.storage import StorageMaintainer
from frigate.timeline import TimelineProcessor
from frigate.track.object_processing import TrackedObjectProcessor
from frigate.util.builtin import empty_and_close_queue
from frigate.util.image import UntrackedSharedMemory
from frigate.util.services import set_file_limit
from frigate.version import VERSION
from frigate.watchdog import FrigateWatchdog
logger = logging.getLogger(__name__)
class FrigateApp:
def __init__(
self, config: FrigateConfig, manager: SyncManager, stop_event: MpEvent
) -> None:
self.metrics_manager = manager
self.audio_process: Optional[mp.Process] = None
self.stop_event = stop_event
self.detection_queue: Queue = mp.Queue()
self.detectors: dict[str, ObjectDetectProcess] = {}
self.detection_shms: list[mp.shared_memory.SharedMemory] = []
self.log_queue: Queue = mp.Queue()
self.camera_metrics: DictProxy = self.metrics_manager.dict()
self.embeddings_metrics: DataProcessorMetrics | None = (
DataProcessorMetrics(
self.metrics_manager, list(config.classification.custom.keys())
)
if (
config.semantic_search.enabled
or any(
c.objects.genai.enabled or c.review.genai.enabled
for c in config.cameras.values()
)
or config.lpr.enabled
or config.face_recognition.enabled
or len(config.classification.custom) > 0
)
else None
)
self.ptz_metrics: dict[str, PTZMetrics] = {}
self.processes: dict[str, int] = {}
self.embeddings: Optional[EmbeddingsContext] = None
self.profile_manager: Optional[ProfileManager] = None
self.config = config
def ensure_dirs(self) -> None:
dirs = [
CONFIG_DIR,
RECORD_DIR,
THUMB_DIR,
f"{CLIPS_DIR}/cache",
CACHE_DIR,
MODEL_CACHE_DIR,
EXPORT_DIR,
]
if self.config.face_recognition.enabled:
dirs.append(FACE_DIR)
if self.config.semantic_search.enabled:
dirs.append(TRIGGER_DIR)
for d in dirs:
if not os.path.exists(d) and not os.path.islink(d):
logger.info(f"Creating directory: {d}")
os.makedirs(d)
else:
logger.debug(f"Skipping directory: {d}")
def init_debug_replay_manager(self) -> None:
self.replay_manager = DebugReplayManager()
def init_camera_metrics(self) -> None:
# create camera_metrics
for camera_name in self.config.cameras.keys():
self.camera_metrics[camera_name] = CameraMetrics(self.metrics_manager)
self.ptz_metrics[camera_name] = PTZMetrics(
autotracker_enabled=self.config.cameras[
camera_name
].onvif.autotracking.enabled
)
def init_queues(self) -> None:
# Queue for cameras to push tracked objects to
# leaving room for 2 extra cameras to be added
self.detected_frames_queue: Queue = mp.Queue(
maxsize=(
sum(
camera.enabled_in_config == True
for camera in self.config.cameras.values()
)
+ 2
)
* 2
)
# Queue for timeline events
self.timeline_queue: Queue = mp.Queue()
def init_database(self) -> None:
def vacuum_db(db: SqliteExtDatabase) -> None:
logger.info("Running database vacuum")
db.execute_sql("VACUUM;")
try:
with open(f"{CONFIG_DIR}/.vacuum", "w") as f:
f.write(str(datetime.datetime.now().timestamp()))
except PermissionError:
logger.error("Unable to write to /config to save DB state")
def cleanup_timeline_db(db: SqliteExtDatabase) -> None:
db.execute_sql(
"DELETE FROM timeline WHERE source_id NOT IN (SELECT id FROM event);"
)
try:
with open(f"{CONFIG_DIR}/.timeline", "w") as f:
f.write(str(datetime.datetime.now().timestamp()))
except PermissionError:
logger.error("Unable to write to /config to save DB state")
# Migrate DB schema
migrate_db = SqliteExtDatabase(self.config.database.path)
# Run migrations
del logging.getLogger("peewee_migrate").handlers[:]
router = Router(migrate_db)
if len(router.diff) > 0:
logger.info("Making backup of DB before migrations...")
shutil.copyfile(
self.config.database.path,
self.config.database.path.replace("frigate.db", "backup.db"),
)
router.run()
# this is a temporary check to clean up user DB from beta
# will be removed before final release
if not os.path.exists(f"{CONFIG_DIR}/.timeline"):
cleanup_timeline_db(migrate_db)
# check if vacuum needs to be run
if os.path.exists(f"{CONFIG_DIR}/.vacuum"):
with open(f"{CONFIG_DIR}/.vacuum") as f:
try:
timestamp = round(float(f.readline()))
except Exception:
timestamp = 0
if (
timestamp
< (
datetime.datetime.now() - datetime.timedelta(weeks=2)
).timestamp()
):
vacuum_db(migrate_db)
else:
vacuum_db(migrate_db)
migrate_db.close()
def init_go2rtc(self) -> None:
for proc in psutil.process_iter(["pid", "name"]):
if proc.info["name"] == "go2rtc":
logger.info(f"go2rtc process pid: {proc.info['pid']}")
self.processes["go2rtc"] = proc.info["pid"]
def init_recording_manager(self) -> None:
recording_process = RecordProcess(self.config, self.stop_event)
self.recording_process = recording_process
recording_process.start()
self.processes["recording"] = recording_process.pid or 0
logger.info(f"Recording process started: {recording_process.pid}")
def init_review_segment_manager(self) -> None:
review_segment_process = ReviewProcess(self.config, self.stop_event)
self.review_segment_process = review_segment_process
review_segment_process.start()
self.processes["review_segment"] = review_segment_process.pid or 0
logger.info(f"Review process started: {review_segment_process.pid}")
def init_embeddings_manager(self) -> None:
# always start the embeddings process
embedding_process = EmbeddingProcess(
self.config, self.embeddings_metrics, self.stop_event
)
self.embedding_process = embedding_process
embedding_process.start()
self.processes["embeddings"] = embedding_process.pid or 0
logger.info(f"Embedding process started: {embedding_process.pid}")
def bind_database(self) -> None:
"""Bind db to the main process."""
# NOTE: all db accessing processes need to be created before the db can be bound to the main process
self.db = SqliteVecQueueDatabase(
self.config.database.path,
pragmas={
"auto_vacuum": "FULL", # Does not defragment database
"cache_size": -512 * 1000, # 512MB of cache,
"synchronous": "NORMAL", # Safe when using WAL https://www.sqlite.org/pragma.html#pragma_synchronous
},
timeout=max(
60,
10
* len([c for c in self.config.cameras.values() if c.enabled_in_config]),
),
load_vec_extension=self.config.semantic_search.enabled,
)
models = [
Event,
Export,
Previews,
Recordings,
RecordingsToDelete,
Regions,
ReviewSegment,
Timeline,
User,
Trigger,
]
self.db.bind(models)
def check_db_data_migrations(self) -> None:
# check if vacuum needs to be run
if not os.path.exists(f"{CONFIG_DIR}/.exports"):
try:
with open(f"{CONFIG_DIR}/.exports", "w") as f:
f.write(str(datetime.datetime.now().timestamp()))
except PermissionError:
logger.error("Unable to write to /config to save export state")
migrate_exports(self.config.ffmpeg, list(self.config.cameras.keys()))
def init_embeddings_client(self) -> None:
# Create a client for other processes to use
self.embeddings = EmbeddingsContext(self.db)
def init_inter_process_communicator(self) -> None:
self.inter_process_communicator = InterProcessCommunicator()
self.inter_config_updater = CameraConfigUpdatePublisher()
self.event_metadata_updater = EventMetadataPublisher()
self.inter_zmq_proxy = ZmqProxy()
self.detection_proxy = DetectorProxy()
def init_onvif(self) -> None:
self.onvif_controller = OnvifController(self.config, self.ptz_metrics)
def init_dispatcher(self) -> None:
comms: list[Communicator] = []
if self.config.mqtt.enabled:
comms.append(MqttClient(self.config))
notification_cameras = [
c
for c in self.config.cameras.values()
if c.enabled and c.notifications.enabled_in_config
]
if notification_cameras:
comms.append(WebPushClient(self.config, self.stop_event))
comms.append(WebSocketClient(self.config))
comms.append(self.inter_process_communicator)
self.dispatcher = Dispatcher(
self.config,
self.inter_config_updater,
self.onvif_controller,
self.ptz_metrics,
comms,
)
def init_profile_manager(self) -> None:
self.profile_manager = ProfileManager(
self.config, self.inter_config_updater, self.dispatcher
)
self.dispatcher.profile_manager = self.profile_manager
persisted = ProfileManager.load_persisted_profile()
if persisted and any(
persisted in cam.profiles for cam in self.config.cameras.values()
):
logger.info("Restoring persisted profile '%s'", persisted)
self.profile_manager.activate_profile(persisted)
def start_detectors(self) -> None:
for name in self.config.cameras.keys():
try:
largest_frame = max(
[
det.model.height * det.model.width * 3
if det.model is not None
else 320
for det in self.config.detectors.values()
]
)
shm_in = UntrackedSharedMemory(
name=name,
create=True,
size=largest_frame,
)
except FileExistsError:
shm_in = UntrackedSharedMemory(name=name)
try:
shm_out = UntrackedSharedMemory(
name=f"out-{name}", create=True, size=20 * 6 * 4
)
except FileExistsError:
shm_out = UntrackedSharedMemory(name=f"out-{name}")
self.detection_shms.append(shm_in)
self.detection_shms.append(shm_out)
for name, detector_config in self.config.detectors.items():
self.detectors[name] = ObjectDetectProcess(
name,
self.detection_queue,
list(self.config.cameras.keys()),
self.config,
detector_config,
self.stop_event,
)
def start_ptz_autotracker(self) -> None:
self.ptz_autotracker_thread = PtzAutoTrackerThread(
self.config,
self.onvif_controller,
self.ptz_metrics,
self.dispatcher,
self.stop_event,
)
self.ptz_autotracker_thread.start()
def start_detected_frames_processor(self) -> None:
self.detected_frames_processor = TrackedObjectProcessor(
self.config,
self.dispatcher,
self.detected_frames_queue,
self.ptz_autotracker_thread,
self.stop_event,
)
self.detected_frames_processor.start()
def start_video_output_processor(self) -> None:
output_processor = OutputProcess(self.config, self.stop_event)
self.output_processor = output_processor
output_processor.start()
logger.info(f"Output process started: {output_processor.pid}")
def start_camera_processor(self) -> None:
self.camera_maintainer = CameraMaintainer(
self.config,
self.detection_queue,
self.detected_frames_queue,
self.camera_metrics,
self.ptz_metrics,
self.stop_event,
self.metrics_manager,
)
self.camera_maintainer.start()
def start_audio_processor(self) -> None:
audio_cameras = [
c
for c in self.config.cameras.values()
if c.enabled and c.audio.enabled_in_config
]
if audio_cameras:
self.audio_process = AudioProcessor(
self.config, audio_cameras, self.camera_metrics, self.stop_event
)
self.audio_process.start()
self.processes["audio_detector"] = self.audio_process.pid or 0
def start_timeline_processor(self) -> None:
self.timeline_processor = TimelineProcessor(
self.config, self.timeline_queue, self.stop_event
)
self.timeline_processor.start()
def start_event_processor(self) -> None:
self.event_processor = EventProcessor(
self.config,
self.timeline_queue,
self.stop_event,
)
self.event_processor.start()
def start_event_cleanup(self) -> None:
self.event_cleanup = EventCleanup(self.config, self.stop_event, self.db)
self.event_cleanup.start()
def start_record_cleanup(self) -> None:
self.record_cleanup = RecordingCleanup(self.config, self.stop_event)
self.record_cleanup.start()
def start_storage_maintainer(self) -> None:
self.storage_maintainer = StorageMaintainer(self.config, self.stop_event)
self.storage_maintainer.start()
def start_stats_emitter(self) -> None:
self.stats_emitter = StatsEmitter(
self.config,
stats_init(
self.config,
self.camera_metrics,
self.embeddings_metrics,
self.detectors,
self.processes,
),
self.stop_event,
)
self.stats_emitter.start()
def start_watchdog(self) -> None:
self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
self.frigate_watchdog.start()
def init_auth(self) -> None:
if self.config.auth.enabled:
if User.select().count() == 0:
password = secrets.token_hex(16)
password_hash = hash_password(
password, iterations=self.config.auth.hash_iterations
)
User.insert(
{
User.username: "admin",
User.role: "admin",
User.password_hash: password_hash,
User.notification_tokens: [],
}
).execute()
self.config.auth.admin_first_time_login = True
logger.info("********************************************************")
logger.info("********************************************************")
logger.info("*** Auth is enabled, but no users exist. ***")
logger.info("*** Created a default user: ***")
logger.info("*** User: admin ***")
logger.info(f"*** Password: {password} ***")
logger.info("********************************************************")
logger.info("********************************************************")
elif self.config.auth.reset_admin_password:
password = secrets.token_hex(16)
password_hash = hash_password(
password, iterations=self.config.auth.hash_iterations
)
User.replace(
username="admin",
role="admin",
password_hash=password_hash,
notification_tokens=[],
).execute()
logger.info("********************************************************")
logger.info("********************************************************")
logger.info("*** Reset admin password set in the config. ***")
logger.info(f"*** Password: {password} ***")
logger.info("********************************************************")
logger.info("********************************************************")
def start(self) -> None:
logger.info(f"Starting Frigate ({VERSION})")
# Ensure global state.
self.ensure_dirs()
# Set soft file limits.
set_file_limit()
# Start frigate services.
self.init_debug_replay_manager()
self.init_camera_metrics()
self.init_queues()
self.init_database()
self.init_onvif()
self.init_recording_manager()
self.init_review_segment_manager()
self.init_go2rtc()
self.init_embeddings_manager()
self.bind_database()
self.check_db_data_migrations()
# Clean up any stale replay camera artifacts (filesystem + DB)
cleanup_replay_cameras()
self.init_inter_process_communicator()
self.start_detectors()
self.init_dispatcher()
self.init_profile_manager()
self.init_embeddings_client()
self.start_video_output_processor()
self.start_ptz_autotracker()
self.start_detected_frames_processor()
self.start_camera_processor()
self.start_audio_processor()
self.start_storage_maintainer()
self.start_stats_emitter()
self.start_timeline_processor()
self.start_event_processor()
self.start_event_cleanup()
self.start_record_cleanup()
self.start_watchdog()
self.init_auth()
try:
uvicorn.run(
create_fastapi_app(
self.config,
self.db,
self.embeddings,
self.detected_frames_processor,
self.storage_maintainer,
self.onvif_controller,
self.stats_emitter,
self.event_metadata_updater,
self.inter_config_updater,
self.replay_manager,
self.dispatcher,
self.profile_manager,
),
host="127.0.0.1",
port=5001,
log_level="error",
)
finally:
self.stop()
def stop(self) -> None:
logger.info("Stopping...")
# used by the docker healthcheck
Path("/dev/shm/.frigate-is-stopping").touch()
# Cancel any running motion search jobs before setting stop_event
stop_all_motion_search_jobs()
self.stop_event.set()
# set an end_time on entries without an end_time before exiting
Event.update(
end_time=datetime.datetime.now().timestamp(), has_snapshot=False
).where(Event.end_time == None).execute()
ReviewSegment.update(end_time=datetime.datetime.now().timestamp()).where(
ReviewSegment.end_time == None
).execute()
# stop the audio process
if self.audio_process:
self.audio_process.terminate()
self.audio_process.join()
# stop the onvif controller
if self.onvif_controller:
self.onvif_controller.close()
# ensure the detectors are done
for detector in self.detectors.values():
detector.stop()
empty_and_close_queue(self.detection_queue)
logger.info("Detection queue closed")
self.detected_frames_processor.join()
empty_and_close_queue(self.detected_frames_queue)
logger.info("Detected frames queue closed")
self.timeline_processor.join()
self.event_processor.join()
empty_and_close_queue(self.timeline_queue)
logger.info("Timeline queue closed")
self.output_processor.terminate()
self.output_processor.join()
self.recording_process.terminate()
self.recording_process.join()
self.review_segment_process.terminate()
self.review_segment_process.join()
self.dispatcher.stop()
self.ptz_autotracker_thread.join()
self.event_cleanup.join()
self.record_cleanup.join()
self.stats_emitter.join()
self.frigate_watchdog.join()
self.camera_maintainer.join()
self.db.stop()
# Save embeddings stats to disk
if self.embeddings:
self.embeddings.stop()
# Stop Communicators
self.inter_process_communicator.stop()
self.inter_config_updater.stop()
self.event_metadata_updater.stop()
self.inter_zmq_proxy.stop()
self.detection_proxy.stop()
while len(self.detection_shms) > 0:
shm = self.detection_shms.pop()
shm.close()
shm.unlink()
_stop_logging()
self.metrics_manager.shutdown()