"""Handle storage retention and usage.""" import logging import shutil import threading from pathlib import Path from peewee import fn from frigate.config import FrigateConfig from frigate.const import RECORD_DIR from frigate.models import Event, Recordings logger = logging.getLogger(__name__) bandwidth_equation = Recordings.segment_size / ( Recordings.end_time - Recordings.start_time ) class StorageMaintainer(threading.Thread): """Maintain frigates recording storage.""" def __init__(self, config: FrigateConfig, stop_event) -> None: threading.Thread.__init__(self) self.name = "storage_maintainer" self.config = config self.stop_event = stop_event self.camera_storage_stats: dict[str, dict] = {} def calculate_camera_bandwidth(self) -> None: """Calculate an average MB/hr for each camera.""" for camera in self.config.cameras.keys(): # cameras with < 50 segments should be refreshed to keep size accurate # when few segments are available if self.camera_storage_stats.get(camera, {}).get("needs_refresh", True): self.camera_storage_stats[camera] = { "needs_refresh": ( Recordings.select(fn.COUNT(Recordings.id)) .where(Recordings.camera == camera, Recordings.segment_size > 0) .scalar() < 50 ) } # calculate MB/hr try: bandwidth = round( Recordings.select(fn.AVG(bandwidth_equation)) .where(Recordings.camera == camera, Recordings.segment_size > 0) .limit(100) .scalar() * 3600, 2, ) except TypeError: bandwidth = 0 self.camera_storage_stats[camera]["bandwidth"] = bandwidth logger.debug(f"{camera} has a bandwidth of {bandwidth} MiB/hr.") def calculate_camera_usages(self) -> dict[str, dict]: """Calculate the storage usage of each camera.""" usages: dict[str, dict] = {} for camera in self.config.cameras.keys(): camera_storage = ( Recordings.select(fn.SUM(Recordings.segment_size)) .where(Recordings.camera == camera, Recordings.segment_size != 0) .scalar() ) usages[camera] = { "usage": camera_storage, "bandwidth": self.camera_storage_stats.get(camera, {}).get( "bandwidth", 0 ), } return usages def check_storage_needs_cleanup(self) -> bool: """Return if storage needs cleanup.""" # currently runs cleanup if less than 1 hour of space is left # disk_usage should not spin up disks hourly_bandwidth = sum( [b["bandwidth"] for b in self.camera_storage_stats.values()] ) remaining_storage = round(shutil.disk_usage(RECORD_DIR).free / pow(2, 20), 1) logger.debug( f"Storage cleanup check: {hourly_bandwidth} hourly with remaining storage: {remaining_storage}." ) return remaining_storage < hourly_bandwidth def reduce_storage_consumption(self) -> None: """Remove oldest hour of recordings.""" logger.debug("Starting storage cleanup.") deleted_segments_size = 0 hourly_bandwidth = sum( [b["bandwidth"] for b in self.camera_storage_stats.values()] ) recordings: Recordings = Recordings.select().order_by( Recordings.start_time.asc() ) retained_events: Event = ( Event.select() .where( Event.retain_indefinitely == True, Event.has_clip, ) .order_by(Event.start_time.asc()) .objects() ) event_start = 0 deleted_recordings = set() for recording in recordings.objects().iterator(): # check if 1 hour of storage has been reclaimed if deleted_segments_size > hourly_bandwidth: break keep = False # Now look for a reason to keep this recording segment for idx in range(event_start, len(retained_events)): event = retained_events[idx] # if the event starts in the future, stop checking events # and let this recording segment expire if event.start_time > recording.end_time: keep = False break # if the event is in progress or ends after the recording starts, keep it # and stop looking at events if event.end_time is None or event.end_time >= recording.start_time: keep = True break # if the event ends before this recording segment starts, skip # this event and check the next event for an overlap. # since the events and recordings are sorted, we can skip events # that end before the previous recording segment started on future segments if event.end_time < recording.start_time: event_start = idx # Delete recordings not retained indefinitely if not keep: deleted_segments_size += recording.segment_size Path(recording.path).unlink(missing_ok=True) deleted_recordings.add(recording.id) # check if need to delete retained segments if deleted_segments_size < hourly_bandwidth: logger.error( f"Could not clear {hourly_bandwidth} currently {deleted_segments_size}, retained recordings must be deleted." ) recordings = Recordings.select().order_by(Recordings.start_time.asc()) for recording in recordings.objects().iterator(): if deleted_segments_size > hourly_bandwidth: break deleted_segments_size += recording.segment_size Path(recording.path).unlink(missing_ok=True) deleted_recordings.add(recording.id) logger.debug(f"Expiring {len(deleted_recordings)} recordings") # delete up to 100,000 at a time max_deletes = 100000 deleted_recordings_list = list(deleted_recordings) for i in range(0, len(deleted_recordings_list), max_deletes): Recordings.delete().where( Recordings.id << deleted_recordings_list[i : i + max_deletes] ).execute() def run(self): """Check every 5 minutes if storage needs to be cleaned up.""" self.calculate_camera_bandwidth() while not self.stop_event.wait(300): if not self.camera_storage_stats or True in [ r["needs_refresh"] for r in self.camera_storage_stats.values() ]: self.calculate_camera_bandwidth() logger.debug(f"Default camera bandwidths: {self.camera_storage_stats}.") if self.check_storage_needs_cleanup(): self.reduce_storage_consumption() logger.info("Exiting storage maintainer...")