mirror of
https://github.com/blakeblackshear/frigate.git
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8bc76d19db
* Enable auto vacuums * Enable auto vacuum * Fix separator * Fix separator and remove incorrect log * Limit to 1 row since that is all that is used * Add index on camera + segment_size * Formatting * Increase timeout and cache_size * Set DB mode to NORMAL synchronous level * Formatting * Vacuum every 2 weeks * Remove fstring * Use string * Use consts
191 lines
7.2 KiB
Python
191 lines
7.2 KiB
Python
"""Handle storage retention and usage."""
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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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from peewee import fn
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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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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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class StorageMaintainer(threading.Thread):
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"""Maintain frigates recording storage."""
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def __init__(self, config: FrigateConfig, stop_event) -> None:
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threading.Thread.__init__(self)
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self.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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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(Recordings.id))
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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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# 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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except TypeError:
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bandwidth = 0
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self.camera_storage_stats[camera]["bandwidth"] = bandwidth
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logger.debug(f"{camera} has a bandwidth of {bandwidth} MB/hr.")
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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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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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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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return usages
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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 / 1000000, 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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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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recordings: Recordings = Recordings.select().order_by(
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Recordings.start_time.asc()
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)
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retained_events: Event = (
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Event.select()
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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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.objects()
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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.objects().iterator():
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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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keep = False
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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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# 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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# 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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# 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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# Delete recordings not retained indefinitely
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if not keep:
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deleted_segments_size += recording.segment_size
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Path(recording.path).unlink(missing_ok=True)
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deleted_recordings.add(recording.id)
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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} currently {deleted_segments_size}, retained recordings must be deleted."
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)
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recordings = Recordings.select().order_by(Recordings.start_time.asc())
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for recording in recordings.objects().iterator():
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if deleted_segments_size > hourly_bandwidth:
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break
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deleted_segments_size += recording.segment_size
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Path(recording.path).unlink(missing_ok=True)
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deleted_recordings.add(recording.id)
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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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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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if self.check_storage_needs_cleanup():
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self.reduce_storage_consumption()
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logger.info("Exiting storage maintainer...")
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