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			234 lines
		
	
	
		
			8.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			234 lines
		
	
	
		
			8.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| """Handle storage retention and usage."""
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| 
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| import logging
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| import shutil
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| import threading
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| from pathlib import Path
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| 
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| from peewee import fn
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| 
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| from frigate.config import FrigateConfig
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| from frigate.const import RECORD_DIR
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| from frigate.models import Event, Recordings
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| from frigate.util.builtin import clear_and_unlink
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| 
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| logger = logging.getLogger(__name__)
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| bandwidth_equation = Recordings.segment_size / (
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|     Recordings.end_time - Recordings.start_time
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| )
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| 
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| MAX_CALCULATED_BANDWIDTH = 10000  # 10Gb/hr
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| 
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| 
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| class StorageMaintainer(threading.Thread):
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|     """Maintain frigates recording storage."""
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| 
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|     def __init__(self, config: FrigateConfig, stop_event) -> None:
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|         super().__init__(name="storage_maintainer")
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|         self.config = config
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|         self.stop_event = stop_event
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|         self.camera_storage_stats: dict[str, dict] = {}
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| 
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|     def calculate_camera_bandwidth(self) -> None:
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|         """Calculate an average MB/hr for each camera."""
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|         for camera in self.config.cameras.keys():
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|             # cameras with < 50 segments should be refreshed to keep size accurate
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|             # when few segments are available
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|             if self.camera_storage_stats.get(camera, {}).get("needs_refresh", True):
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|                 self.camera_storage_stats[camera] = {
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|                     "needs_refresh": (
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|                         Recordings.select(fn.COUNT("*"))
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|                         .where(Recordings.camera == camera, Recordings.segment_size > 0)
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|                         .scalar()
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|                         < 50
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|                     )
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|                 }
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| 
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|                 # calculate MB/hr
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|                 try:
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|                     bandwidth = round(
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|                         Recordings.select(fn.AVG(bandwidth_equation))
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|                         .where(Recordings.camera == camera, Recordings.segment_size > 0)
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|                         .limit(100)
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|                         .scalar()
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|                         * 3600,
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|                         2,
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|                     )
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| 
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|                     if bandwidth > MAX_CALCULATED_BANDWIDTH:
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|                         logger.warning(
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|                             f"{camera} has a bandwidth of {bandwidth} MB/hr which exceeds the expected maximum. This typically indicates an issue with the cameras recordings."
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|                         )
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|                         bandwidth = MAX_CALCULATED_BANDWIDTH
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|                 except TypeError:
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|                     bandwidth = 0
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| 
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|                 self.camera_storage_stats[camera]["bandwidth"] = bandwidth
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|                 logger.debug(f"{camera} has a bandwidth of {bandwidth} MiB/hr.")
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| 
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|     def calculate_camera_usages(self) -> dict[str, dict]:
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|         """Calculate the storage usage of each camera."""
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|         usages: dict[str, dict] = {}
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| 
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|         for camera in self.config.cameras.keys():
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|             camera_storage = (
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|                 Recordings.select(fn.SUM(Recordings.segment_size))
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|                 .where(Recordings.camera == camera, Recordings.segment_size != 0)
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|                 .scalar()
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|             )
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| 
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|             usages[camera] = {
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|                 "usage": camera_storage,
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|                 "bandwidth": self.camera_storage_stats.get(camera, {}).get(
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|                     "bandwidth", 0
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|                 ),
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|             }
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| 
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|         return usages
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| 
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|     def check_storage_needs_cleanup(self) -> bool:
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|         """Return if storage needs cleanup."""
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|         # currently runs cleanup if less than 1 hour of space is left
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|         # disk_usage should not spin up disks
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|         hourly_bandwidth = sum(
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|             [b["bandwidth"] for b in self.camera_storage_stats.values()]
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|         )
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|         remaining_storage = round(shutil.disk_usage(RECORD_DIR).free / pow(2, 20), 1)
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|         logger.debug(
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|             f"Storage cleanup check: {hourly_bandwidth} hourly with remaining storage: {remaining_storage}."
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|         )
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|         return remaining_storage < hourly_bandwidth
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| 
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|     def reduce_storage_consumption(self) -> None:
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|         """Remove oldest hour of recordings."""
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|         logger.debug("Starting storage cleanup.")
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|         deleted_segments_size = 0
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|         hourly_bandwidth = sum(
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|             [b["bandwidth"] for b in self.camera_storage_stats.values()]
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|         )
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| 
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|         recordings: Recordings = (
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|             Recordings.select(
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|                 Recordings.id,
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|                 Recordings.start_time,
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|                 Recordings.end_time,
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|                 Recordings.segment_size,
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|                 Recordings.path,
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|             )
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|             .order_by(Recordings.start_time.asc())
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|             .namedtuples()
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|             .iterator()
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|         )
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| 
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|         retained_events: Event = (
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|             Event.select(
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|                 Event.start_time,
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|                 Event.end_time,
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|             )
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|             .where(
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|                 Event.retain_indefinitely == True,
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|                 Event.has_clip,
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|             )
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|             .order_by(Event.start_time.asc())
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|             .namedtuples()
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|         )
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| 
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|         event_start = 0
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|         deleted_recordings = set()
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|         for recording in recordings:
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|             # check if 1 hour of storage has been reclaimed
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|             if deleted_segments_size > hourly_bandwidth:
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|                 break
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| 
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|             keep = False
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| 
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|             # Now look for a reason to keep this recording segment
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|             for idx in range(event_start, len(retained_events)):
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|                 event = retained_events[idx]
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| 
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|                 # if the event starts in the future, stop checking events
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|                 # and let this recording segment expire
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|                 if event.start_time > recording.end_time:
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|                     keep = False
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|                     break
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| 
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|                 # if the event is in progress or ends after the recording starts, keep it
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|                 # and stop looking at events
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|                 if event.end_time is None or event.end_time >= recording.start_time:
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|                     keep = True
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|                     break
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| 
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|                 # if the event ends before this recording segment starts, skip
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|                 # this event and check the next event for an overlap.
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|                 # since the events and recordings are sorted, we can skip events
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|                 # that end before the previous recording segment started on future segments
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|                 if event.end_time < recording.start_time:
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|                     event_start = idx
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| 
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|             # Delete recordings not retained indefinitely
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|             if not keep:
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|                 try:
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|                     clear_and_unlink(Path(recording.path), missing_ok=False)
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|                     deleted_recordings.add(recording.id)
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|                     deleted_segments_size += recording.segment_size
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|                 except FileNotFoundError:
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|                     # this file was not found so we must assume no space was cleaned up
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|                     pass
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| 
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|         # check if need to delete retained segments
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|         if deleted_segments_size < hourly_bandwidth:
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|             logger.error(
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|                 f"Could not clear {hourly_bandwidth} MB, currently {deleted_segments_size} MB have been cleared. Retained recordings must be deleted."
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|             )
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|             recordings = (
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|                 Recordings.select(
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|                     Recordings.id,
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|                     Recordings.path,
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|                     Recordings.segment_size,
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|                 )
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|                 .order_by(Recordings.start_time.asc())
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|                 .namedtuples()
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|                 .iterator()
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|             )
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| 
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|             for recording in recordings:
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|                 if deleted_segments_size > hourly_bandwidth:
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|                     break
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| 
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|                 try:
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|                     clear_and_unlink(Path(recording.path), missing_ok=False)
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|                     deleted_segments_size += recording.segment_size
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|                     deleted_recordings.add(recording.id)
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|                 except FileNotFoundError:
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|                     # this file was not found so we must assume no space was cleaned up
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|                     pass
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|         else:
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|             logger.info(f"Cleaned up {deleted_segments_size} MB of recordings")
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| 
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|         logger.debug(f"Expiring {len(deleted_recordings)} recordings")
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|         # delete up to 100,000 at a time
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|         max_deletes = 100000
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|         deleted_recordings_list = list(deleted_recordings)
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|         for i in range(0, len(deleted_recordings_list), max_deletes):
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|             Recordings.delete().where(
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|                 Recordings.id << deleted_recordings_list[i : i + max_deletes]
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|             ).execute()
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| 
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|     def run(self):
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|         """Check every 5 minutes if storage needs to be cleaned up."""
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|         self.calculate_camera_bandwidth()
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|         while not self.stop_event.wait(300):
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|             if not self.camera_storage_stats or True in [
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|                 r["needs_refresh"] for r in self.camera_storage_stats.values()
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|             ]:
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|                 self.calculate_camera_bandwidth()
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|                 logger.debug(f"Default camera bandwidths: {self.camera_storage_stats}.")
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| 
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|             if self.check_storage_needs_cleanup():
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|                 logger.info(
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|                     "Less than 1 hour of recording space left, running storage maintenance..."
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|                 )
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|                 self.reduce_storage_consumption()
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| 
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|         logger.info("Exiting storage maintainer...")
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