import datetime import logging import multiprocessing as mp import os import shutil import signal import sys import traceback from multiprocessing import Queue from multiprocessing.synchronize import Event as MpEvent from types import FrameType from typing import Optional import psutil from peewee_migrate import Router from playhouse.sqlite_ext import SqliteExtDatabase from playhouse.sqliteq import SqliteQueueDatabase from frigate.comms.dispatcher import Communicator, Dispatcher from frigate.comms.inter_process import InterProcessCommunicator from frigate.comms.mqtt import MqttClient from frigate.comms.ws import WebSocketClient from frigate.config import FrigateConfig from frigate.const import ( CACHE_DIR, CLIPS_DIR, CONFIG_DIR, DEFAULT_DB_PATH, EXPORT_DIR, MODEL_CACHE_DIR, RECORD_DIR, ) from frigate.events.audio import listen_to_audio from frigate.events.cleanup import EventCleanup from frigate.events.external import ExternalEventProcessor from frigate.events.maintainer import EventProcessor from frigate.http import create_app from frigate.log import log_process, root_configurer from frigate.models import Event, Recordings, RecordingsToDelete, Regions, Timeline from frigate.object_detection import ObjectDetectProcess from frigate.object_processing import TrackedObjectProcessor from frigate.output import output_frames from frigate.plus import PlusApi from frigate.ptz.autotrack import PtzAutoTrackerThread from frigate.ptz.onvif import OnvifController from frigate.record.cleanup import RecordingCleanup from frigate.record.record import manage_recordings from frigate.stats import StatsEmitter, stats_init from frigate.storage import StorageMaintainer from frigate.timeline import TimelineProcessor from frigate.types import CameraMetricsTypes, FeatureMetricsTypes, PTZMetricsTypes 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) -> 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.plus_api = PlusApi() self.camera_metrics: dict[str, CameraMetricsTypes] = {} self.feature_metrics: dict[str, FeatureMetricsTypes] = {} self.ptz_metrics: dict[str, PTZMetricsTypes] = {} self.processes: dict[str, int] = {} self.region_grids: dict[str, list[list[dict[str, int]]]] = {} def set_environment_vars(self) -> None: for key, value in self.config.environment_vars.items(): os.environ[key] = value def ensure_dirs(self) -> None: for d in [ CONFIG_DIR, RECORD_DIR, CLIPS_DIR, 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_logger(self) -> None: self.log_process = mp.Process( target=log_process, args=(self.log_queue,), name="log_process" ) self.log_process.daemon = True self.log_process.start() self.processes["logger"] = self.log_process.pid or 0 root_configurer(self.log_queue) def init_config(self) -> None: config_file = os.environ.get("CONFIG_FILE", "/config/config.yml") # Check if we can use .yaml instead of .yml config_file_yaml = config_file.replace(".yml", ".yaml") if os.path.isfile(config_file_yaml): config_file = config_file_yaml user_config = FrigateConfig.parse_file(config_file) self.config = user_config.runtime_config(self.plus_api) for camera_name in self.config.cameras.keys(): # create camera_metrics self.camera_metrics[camera_name] = { "camera_fps": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "skipped_fps": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "process_fps": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "detection_enabled": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].detect.enabled, ), "motion_enabled": mp.Value("i", True), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "improve_contrast_enabled": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].motion.improve_contrast, ), "motion_threshold": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].motion.threshold, ), "motion_contour_area": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].motion.contour_area, ), "detection_fps": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "detection_frame": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "read_start": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "ffmpeg_pid": mp.Value("i", 0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "frame_queue": mp.Queue(maxsize=2), "region_grid_queue": mp.Queue(maxsize=1), "capture_process": None, "process": None, "audio_rms": mp.Value("d", 0.0), # type: ignore[typeddict-item] "audio_dBFS": mp.Value("d", 0.0), # type: ignore[typeddict-item] } self.ptz_metrics[camera_name] = { "ptz_autotracker_enabled": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].onvif.autotracking.enabled, ), "ptz_stopped": mp.Event(), "ptz_reset": mp.Event(), "ptz_start_time": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "ptz_stop_time": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "ptz_frame_time": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "ptz_zoom_level": mp.Value("d", 0.0), # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards } self.ptz_metrics[camera_name]["ptz_stopped"].set() self.feature_metrics[camera_name] = { "audio_enabled": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].audio.enabled, ), "record_enabled": mp.Value( # type: ignore[typeddict-item] # issue https://github.com/python/typeshed/issues/8799 # from mypy 0.981 onwards "i", self.config.cameras[camera_name].record.enabled, ), } def set_log_levels(self) -> None: logging.getLogger().setLevel(self.config.logger.default.value.upper()) for log, level in self.config.logger.logs.items(): logging.getLogger(log).setLevel(level.value.upper()) if "werkzeug" not in self.config.logger.logs: logging.getLogger("werkzeug").setLevel("ERROR") if "ws4py" not in self.config.logger.logs: logging.getLogger("ws4py").setLevel("ERROR") def init_queues(self) -> None: # Queues for clip processing self.event_queue: Queue = mp.Queue() self.event_processed_queue: Queue = mp.Queue() self.video_output_queue: Queue = mp.Queue( maxsize=sum(camera.enabled for camera in self.config.cameras.values()) * 2 ) # 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 object recordings info self.object_recordings_info_queue: Queue = mp.Queue() # Queue for audio recordings info if enabled self.audio_recordings_info_queue: Optional[Queue] = ( mp.Queue() if len([c for c in self.config.cameras.values() if c.audio.enabled]) > 0 else None ) # Queue for timeline events self.timeline_queue: Queue = mp.Queue() # Queue for inter process communication self.inter_process_queue: Queue = mp.Queue() def init_database(self) -> None: def vacuum_db(db: SqliteExtDatabase) -> None: 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") # Migrate DB location old_db_path = DEFAULT_DB_PATH if not os.path.isfile(self.config.database.path) and os.path.isfile( old_db_path ): os.rename(old_db_path, self.config.database.path) # Migrate DB schema migrate_db = SqliteExtDatabase(self.config.database.path) # Run migrations del logging.getLogger("peewee_migrate").handlers[:] router = Router(migrate_db) router.run() # 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 = mp.Process( target=manage_recordings, name="recording_manager", args=( self.config, self.inter_process_queue, self.object_recordings_info_queue, self.audio_recordings_info_queue, self.feature_metrics, ), ) 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 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 = SqliteQueueDatabase( 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]) ), ) models = [Event, Recordings, RecordingsToDelete, Regions, Timeline] self.db.bind(models) def init_stats(self) -> None: self.stats_tracking = stats_init( self.config, self.camera_metrics, self.detectors, self.processes ) def init_external_event_processor(self) -> None: self.external_event_processor = ExternalEventProcessor( self.config, self.event_queue ) def init_inter_process_communicator(self) -> None: self.inter_process_communicator = InterProcessCommunicator( self.inter_process_queue ) def init_web_server(self) -> None: self.flask_app = create_app( self.config, self.db, self.stats_tracking, self.detected_frames_processor, self.storage_maintainer, self.onvif_controller, self.external_event_processor, self.plus_api, ) 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)) comms.append(WebSocketClient(self.config)) comms.append(self.inter_process_communicator) self.dispatcher = Dispatcher( self.config, self.onvif_controller, self.camera_metrics, self.feature_metrics, 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 for (name, det) in self.config.detectors.items() ] ) shm_in = mp.shared_memory.SharedMemory( name=name, create=True, size=largest_frame, ) except FileExistsError: shm_in = mp.shared_memory.SharedMemory(name=name) try: shm_out = mp.shared_memory.SharedMemory( name=f"out-{name}", create=True, size=20 * 6 * 4 ) except FileExistsError: shm_out = mp.shared_memory.SharedMemory(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.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.event_queue, self.event_processed_queue, self.video_output_queue, self.object_recordings_info_queue, self.ptz_autotracker_thread, self.stop_event, ) self.detected_frames_processor.start() def start_video_output_processor(self) -> None: output_processor = mp.Process( target=output_frames, name="output_processor", args=( self.config, self.video_output_queue, ), ) 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(): self.region_grids[camera.name] = get_camera_regions_grid( camera.name, camera.detect ) 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 = mp.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.inter_process_queue, self.camera_metrics[name], self.ptz_metrics[name], self.region_grids[name], ), ) camera_process.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: 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 = mp.Process( target=capture_camera, name=f"camera_capture:{name}", args=(name, config, 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_processors(self) -> None: if len([c for c in self.config.cameras.values() if c.audio.enabled]) > 0: audio_process = mp.Process( target=listen_to_audio, name="audio_capture", args=( self.config, self.audio_recordings_info_queue, self.camera_metrics, self.feature_metrics, self.inter_process_communicator, ), ) audio_process.daemon = True audio_process.start() self.processes["audioDetector"] = audio_process.pid or 0 logger.info(f"Audio process started: {audio_process.pid}") 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.camera_metrics, self.event_queue, self.event_processed_queue, 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.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, self.stats_tracking, self.dispatcher, 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 check_shm(self) -> None: available_shm = round(shutil.disk_usage("/dev/shm").total / pow(2, 20), 1) min_req_shm = 30 for _, camera in self.config.cameras.items(): min_req_shm += round( (camera.detect.width * camera.detect.height * 1.5 * 9 + 270480) / 1048576, 1, ) if available_shm < min_req_shm: logger.warning( f"The current SHM size of {available_shm}MB is too small, recommend increasing it to at least {min_req_shm}MB." ) def start(self) -> None: self.init_logger() logger.info(f"Starting Frigate ({VERSION})") try: self.ensure_dirs() try: self.init_config() except Exception as e: print("*************************************************************") print("*************************************************************") print("*** Your config file is not valid! ***") print("*** Please check the docs at ***") print("*** https://docs.frigate.video/configuration/index ***") print("*************************************************************") print("*************************************************************") print("*** Config Validation Errors ***") print("*************************************************************") print(e) print(traceback.format_exc()) print("*************************************************************") print("*** End Config Validation Errors ***") print("*************************************************************") self.log_process.terminate() sys.exit(1) self.set_environment_vars() self.set_log_levels() self.init_queues() self.init_database() self.init_onvif() self.init_recording_manager() self.init_go2rtc() self.bind_database() self.init_inter_process_communicator() self.init_dispatcher() except Exception as e: print(e) self.log_process.terminate() sys.exit(1) self.start_detectors() 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_processors() self.start_storage_maintainer() self.init_stats() self.init_external_event_processor() self.init_web_server() self.start_timeline_processor() self.start_event_processor() self.start_event_cleanup() self.start_record_cleanup() self.start_stats_emitter() self.start_watchdog() self.check_shm() def receiveSignal(signalNumber: int, frame: Optional[FrameType]) -> None: self.stop() sys.exit() signal.signal(signal.SIGTERM, receiveSignal) try: self.flask_app.run(host="127.0.0.1", port=5001, debug=False, threaded=True) except KeyboardInterrupt: pass self.stop() def stop(self) -> None: logger.info("Stopping...") self.stop_event.set() for detector in self.detectors.values(): detector.stop() # Empty the detection queue and set the events for all requests while not self.detection_queue.empty(): connection_id = self.detection_queue.get(timeout=1) self.detection_out_events[connection_id].set() self.detection_queue.close() self.detection_queue.join_thread() self.dispatcher.stop() self.detected_frames_processor.join() self.ptz_autotracker_thread.join() self.event_processor.join() self.event_cleanup.join() self.record_cleanup.join() self.stats_emitter.join() self.frigate_watchdog.join() self.db.stop() while len(self.detection_shms) > 0: shm = self.detection_shms.pop() shm.close() shm.unlink() for queue in [ self.event_queue, self.event_processed_queue, self.video_output_queue, self.detected_frames_queue, self.object_recordings_info_queue, self.audio_recordings_info_queue, self.log_queue, self.inter_process_queue, ]: if queue is not None: while not queue.empty(): queue.get_nowait() queue.close() queue.join_thread()