import datetime import logging import multiprocessing as mp import os import secrets import shutil from multiprocessing import Queue from multiprocessing.synchronize import Event as MpEvent from typing import Optional import psutil import uvicorn from peewee_migrate import Router from playhouse.sqlite_ext import SqliteExtDatabase import frigate.util as util from frigate.api.auth import hash_password from frigate.api.fastapi_app import create_fastapi_app from frigate.camera import CameraMetrics, PTZMetrics from frigate.comms.config_updater import ConfigPublisher from frigate.comms.dispatcher import Communicator, Dispatcher from frigate.comms.event_metadata_updater import ( EventMetadataPublisher, EventMetadataTypeEnum, ) from frigate.comms.inter_process import InterProcessCommunicator from frigate.comms.mqtt import MqttClient from frigate.comms.webpush import WebPushClient from frigate.comms.ws import WebSocketClient from frigate.comms.zmq_proxy import ZmqProxy from frigate.config.config import FrigateConfig from frigate.const import ( CACHE_DIR, CLIPS_DIR, CONFIG_DIR, EXPORT_DIR, MODEL_CACHE_DIR, RECORD_DIR, ) from frigate.db.sqlitevecq import SqliteVecQueueDatabase from frigate.embeddings import EmbeddingsContext, manage_embeddings from frigate.events.audio import AudioProcessor from frigate.events.cleanup import EventCleanup from frigate.events.external import ExternalEventProcessor from frigate.events.maintainer import EventProcessor from frigate.models import ( Event, Export, Previews, Recordings, RecordingsToDelete, Regions, ReviewSegment, Timeline, User, ) from frigate.object_detection import ObjectDetectProcess from frigate.object_processing import TrackedObjectProcessor from frigate.output.output import output_frames 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 manage_recordings from frigate.review.review import manage_review_segments 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.util.builtin import empty_and_close_queue from frigate.util.image import UntrackedSharedMemory from frigate.util.object import get_camera_regions_grid from frigate.version import VERSION from frigate.video import capture_camera, track_camera from frigate.watchdog import FrigateWatchdog logger = logging.getLogger(__name__) class FrigateApp: def __init__(self, config: FrigateConfig) -> None: self.audio_process: Optional[mp.Process] = None self.stop_event: MpEvent = mp.Event() self.detection_queue: Queue = mp.Queue() self.detectors: dict[str, ObjectDetectProcess] = {} self.detection_out_events: dict[str, MpEvent] = {} self.detection_shms: list[mp.shared_memory.SharedMemory] = [] self.log_queue: Queue = mp.Queue() self.camera_metrics: dict[str, CameraMetrics] = {} self.ptz_metrics: dict[str, PTZMetrics] = {} self.processes: dict[str, int] = {} self.embeddings: Optional[EmbeddingsContext] = None self.region_grids: dict[str, list[list[dict[str, int]]]] = {} self.config = config def ensure_dirs(self) -> None: for d in [ CONFIG_DIR, RECORD_DIR, f"{CLIPS_DIR}/cache", CACHE_DIR, MODEL_CACHE_DIR, EXPORT_DIR, ]: 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_camera_metrics(self) -> None: # create camera_metrics for camera_name in self.config.cameras.keys(): self.camera_metrics[camera_name] = CameraMetrics() 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 self.detected_frames_queue: Queue = mp.Queue( maxsize=sum(camera.enabled for camera in self.config.cameras.values()) * 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 = util.Process( target=manage_recordings, name="recording_manager", args=(self.config,), ) recording_process.daemon = True 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 = util.Process( target=manage_review_segments, name="review_segment_manager", args=(self.config,), ) review_segment_process.daemon = True 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: if not self.config.semantic_search.enabled: return embedding_process = util.Process( target=manage_embeddings, name="embeddings_manager", args=(self.config,), ) embedding_process.daemon = True 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]) ), load_vec_extension=self.config.semantic_search.enabled, ) models = [ Event, Export, Previews, Recordings, RecordingsToDelete, Regions, ReviewSegment, Timeline, User, ] 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: if self.config.semantic_search.enabled: # Create a client for other processes to use self.embeddings = EmbeddingsContext(self.db) def init_external_event_processor(self) -> None: self.external_event_processor = ExternalEventProcessor(self.config) def init_inter_process_communicator(self) -> None: self.inter_process_communicator = InterProcessCommunicator() self.inter_config_updater = ConfigPublisher() self.event_metadata_updater = EventMetadataPublisher( EventMetadataTypeEnum.regenerate_description ) self.inter_zmq_proxy = ZmqProxy() 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)) if self.config.notifications.enabled_in_config: comms.append(WebPushClient(self.config)) 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 start_detectors(self) -> None: for name in self.config.cameras.keys(): self.detection_out_events[name] = mp.Event() 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, self.detection_out_events, detector_config, ) 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 = util.Process( target=output_frames, name="output_processor", args=(self.config,), ) output_processor.daemon = True self.output_processor = output_processor output_processor.start() logger.info(f"Output process started: {output_processor.pid}") def init_historical_regions(self) -> None: # delete region grids for removed or renamed cameras cameras = list(self.config.cameras.keys()) Regions.delete().where(~(Regions.camera << cameras)).execute() # create or update region grids for each camera for camera in self.config.cameras.values(): assert camera.name is not None self.region_grids[camera.name] = get_camera_regions_grid( camera.name, camera.detect, max(self.config.model.width, self.config.model.height), ) def start_camera_processors(self) -> None: for name, config in self.config.cameras.items(): if not self.config.cameras[name].enabled: logger.info(f"Camera processor not started for disabled camera {name}") continue camera_process = util.Process( target=track_camera, name=f"camera_processor:{name}", args=( name, config, self.config.model, self.config.model.merged_labelmap, self.detection_queue, self.detection_out_events[name], self.detected_frames_queue, self.camera_metrics[name], self.ptz_metrics[name], self.region_grids[name], ), daemon=True, ) self.camera_metrics[name].process = camera_process camera_process.start() logger.info(f"Camera processor started for {name}: {camera_process.pid}") def start_camera_capture_processes(self) -> None: shm_frame_count = self.shm_frame_count() for name, config in self.config.cameras.items(): if not self.config.cameras[name].enabled: logger.info(f"Capture process not started for disabled camera {name}") continue capture_process = util.Process( target=capture_camera, name=f"camera_capture:{name}", args=(name, config, shm_frame_count, self.camera_metrics[name]), ) capture_process.daemon = True self.camera_metrics[name].capture_process = capture_process capture_process.start() logger.info(f"Capture process started for {name}: {capture_process.pid}") 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(audio_cameras, self.camera_metrics) 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.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 shm_frame_count(self) -> int: total_shm = round(shutil.disk_usage("/dev/shm").total / pow(2, 20), 1) # required for log files + nginx cache min_req_shm = 40 + 10 if self.config.birdseye.restream: min_req_shm += 8 available_shm = total_shm - min_req_shm cam_total_frame_size = 0.0 for camera in self.config.cameras.values(): if camera.enabled and camera.detect.width and camera.detect.height: cam_total_frame_size += round( (camera.detect.width * camera.detect.height * 1.5 + 270480) / 1048576, 1, ) if cam_total_frame_size == 0.0: return 0 shm_frame_count = min(200, int(available_shm / (cam_total_frame_size))) logger.debug( f"Calculated total camera size {available_shm} / {cam_total_frame_size} :: {shm_frame_count} frames for each camera in SHM" ) if shm_frame_count < 20: logger.warning( f"The current SHM size of {total_shm}MB is too small, recommend increasing it to at least {round(min_req_shm + cam_total_frame_size * 20)}MB." ) return shm_frame_count 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.password_hash: password_hash, User.notification_tokens: [], } ).execute() 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", 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() # Start frigate services. 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.start_detectors() self.init_embeddings_manager() self.bind_database() self.check_db_data_migrations() self.init_inter_process_communicator() self.init_dispatcher() self.init_embeddings_client() self.start_video_output_processor() self.start_ptz_autotracker() self.init_historical_regions() self.start_detected_frames_processor() self.start_camera_processors() self.start_camera_capture_processes() self.start_audio_processor() self.start_storage_maintainer() self.init_external_event_processor() 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.external_event_processor, self.stats_emitter, self.event_metadata_updater, ), host="127.0.0.1", port=5001, log_level="error", ) finally: self.stop() def stop(self) -> None: logger.info("Stopping...") 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() # ensure the capture processes are done for camera, metrics in self.camera_metrics.items(): capture_process = metrics.capture_process if capture_process is not None: logger.info(f"Waiting for capture process for {camera} to stop") capture_process.terminate() capture_process.join() # ensure the camera processors are done for camera, metrics in self.camera_metrics.items(): camera_process = metrics.process if camera_process is not None: logger.info(f"Waiting for process for {camera} to stop") camera_process.terminate() camera_process.join() logger.info(f"Closing frame queue for {camera}") empty_and_close_queue(metrics.frame_queue) # 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.external_event_processor.stop() 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.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() while len(self.detection_shms) > 0: shm = self.detection_shms.pop() shm.close() shm.unlink() os._exit(os.EX_OK)