Limit recording retention to available storage (#3942)

* Add field and migration for segment size

* Store the segment size in db

* Add comment

* Add default

* Fix size parsing

* Include segment size in recordings endpoint

* Start adding storage maintainer

* Add storage maintainer and calculate average sizes

* Update comment

* Store segment and hour avg sizes per camera

* Formatting

* Keep track of total segment and hour averages

* Remove unused files

* Cleanup 2 hours of recordings at a time

* Formatting

* Fix bug

* Round segment size

* Cleanup some comments

* Handle case where segments are not deleted on initial run or is only retained segments

* Improve cleanup log

* Formatting

* Fix typo and improve logging

* Catch case where no recordings exist for camera

* Specifically define sort

* Handle edge case for cameras that only record part time

* Increase definition of part time recorder

* Remove warning about not supported storage based retention

* Add note about storage based retention to recording docs

* Add tests for storage maintenance calculation and cleanup

* Format tests

* Don't run for a camera with no recording segments

* Get size of file from cache

* Rework camera stats to be more efficient

* Remove total and other inefficencies

* Rewrite storage cleanup logic to be much more efficient

* Fix existing tests

* Fix bugs from tests

* Add another test

* Improve logging

* Formatting

* Set back correct loop time

* Update name

* Update comment

* Only include segments that have a nonzero size

* Catch case where camera has 0 nonzero segment durations

* Add test to cover zero bandwidth migration case

* Fix test

* Incorrect boolean logic

* Formatting

* Explicity re-define iterator
This commit is contained in:
Nicolas Mowen 2022-10-09 05:28:26 -06:00 committed by GitHub
parent 3c01dbed7d
commit b4d4adb75b
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
9 changed files with 485 additions and 21 deletions

View File

@ -7,6 +7,10 @@ Recordings can be enabled and are stored at `/media/frigate/recordings`. The fol
H265 recordings can be viewed in Edge and Safari only. All other browsers require recordings to be encoded with H264.
## Will Frigate delete old recordings if my storage runs out?
As of Frigate 0.12 if there is less than an hour left of storage, the oldest 2 hours of recordings will be deleted.
## What if I don't want 24/7 recordings?
If you only used clips in previous versions with recordings disabled, you can use the following config to get the same behavior. This is also the default behavior when recordings are enabled.
@ -25,23 +29,23 @@ When `retain -> days` is set to `0`, segments will be deleted from the cache if
## Can I have "24/7" recordings, but only at certain times?
Using Frigate UI, HomeAssistant, or MQTT, cameras can be automated to only record in certain situations or at certain times.
Using Frigate UI, HomeAssistant, or MQTT, cameras can be automated to only record in certain situations or at certain times.
**WARNING**: Recordings still must be enabled in the config. If a camera has recordings disabled in the config, enabling via the methods listed above will have no effect.
## What do the different retain modes mean?
Frigate saves from the stream with the `record` role in 10 second segments. These options determine which recording segments are kept for 24/7 recording (but can also affect events).
Frigate saves from the stream with the `record` role in 10 second segments. These options determine which recording segments are kept for 24/7 recording (but can also affect events).
Let's say you have frigate configured so that your doorbell camera would retain the last **2** days of 24/7 recording.
- With the `all` option all 48 hours of those two days would be kept and viewable.
Let's say you have frigate configured so that your doorbell camera would retain the last **2** days of 24/7 recording.
- With the `all` option all 48 hours of those two days would be kept and viewable.
- With the `motion` option the only parts of those 48 hours would be segments that frigate detected motion. This is the middle ground option that won't keep all 48 hours, but will likely keep all segments of interest along with the potential for some extra segments.
- With the `active_objects` option the only segments that would be kept are those where there was a true positive object that was not considered stationary.
The same options are available with events. Let's consider a scenario where you drive up and park in your driveway, go inside, then come back out 4 hours later.
- With the `all` option all segments for the duration of the event would be saved for the event. This event would have 4 hours of footage.
- With the `motion` option all segments for the duration of the event with motion would be saved. This means any segment where a car drove by in the street, person walked by, lighting changed, etc. would be saved.
- With the `active_objects` it would only keep segments where the object was active. In this case the only segments that would be saved would be the ones where the car was driving up, you going inside, you coming outside, and the car driving away. Essentially reducing the 4 hours to a minute or two of event footage.
- With the `motion` option all segments for the duration of the event with motion would be saved. This means any segment where a car drove by in the street, person walked by, lighting changed, etc. would be saved.
- With the `active_objects` it would only keep segments where the object was active. In this case the only segments that would be saved would be the ones where the car was driving up, you going inside, you coming outside, and the car driving away. Essentially reducing the 4 hours to a minute or two of event footage.
A configuration example of the above retain modes where all `motion` segments are stored for 7 days and `active objects` are stored for 14 days would be as follows:
```yaml

View File

@ -21,12 +21,6 @@ Windows is not officially supported, but some users have had success getting it
Frigate uses the following locations for read/write operations in the container. Docker volume mappings can be used to map these to any location on your host machine.
:::caution
Note that Frigate does not currently support limiting recordings based on available disk space automatically. If using recordings, you must specify retention settings for a number of days that will fit within the available disk space of your drive or Frigate will crash.
:::
- `/media/frigate/clips`: Used for snapshot storage. In the future, it will likely be renamed from `clips` to `snapshots`. The file structure here cannot be modified and isn't intended to be browsed or managed manually.
- `/media/frigate/recordings`: Internal system storage for recording segments. The file structure here cannot be modified and isn't intended to be browsed or managed manually.
- `/media/frigate/frigate.db`: Default location for the sqlite database. You will also see several files alongside this file while frigate is running. If moving the database location (often needed when using a network drive at `/media/frigate`), it is recommended to mount a volume with docker at `/db` and change the storage location of the database to `/db/frigate.db` in the config file.

View File

@ -1,23 +1,17 @@
import json
import logging
import multiprocessing as mp
from multiprocessing.queues import Queue
from multiprocessing.synchronize import Event
from multiprocessing.context import Process
import os
import signal
import sys
import threading
from logging.handlers import QueueHandler
from typing import Optional
from types import FrameType
import traceback
import yaml
from peewee_migrate import Router
from playhouse.sqlite_ext import SqliteExtDatabase
from playhouse.sqliteq import SqliteQueueDatabase
from pydantic import ValidationError
from frigate.config import DetectorTypeEnum, FrigateConfig
from frigate.const import CACHE_DIR, CLIPS_DIR, RECORD_DIR
@ -32,6 +26,7 @@ from frigate.output import output_frames
from frigate.plus import PlusApi
from frigate.record import RecordingCleanup, RecordingMaintainer
from frigate.stats import StatsEmitter, stats_init
from frigate.storage import StorageMaintainer
from frigate.version import VERSION
from frigate.video import capture_camera, track_camera
from frigate.watchdog import FrigateWatchdog
@ -310,6 +305,10 @@ class FrigateApp:
self.recording_cleanup = RecordingCleanup(self.config, self.stop_event)
self.recording_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,
@ -369,6 +368,7 @@ class FrigateApp:
self.start_event_cleanup()
self.start_recording_maintainer()
self.start_recording_cleanup()
self.start_storage_maintainer()
self.start_stats_emitter()
self.start_watchdog()
# self.zeroconf = broadcast_zeroconf(self.config.mqtt.client_id)

View File

@ -751,6 +751,7 @@ def recordings(camera_name):
Recordings.id,
Recordings.start_time,
Recordings.end_time,
Recordings.segment_size,
Recordings.motion,
Recordings.objects,
)

View File

@ -41,3 +41,4 @@ class Recordings(Model): # type: ignore[misc]
duration = FloatField()
motion = IntegerField(null=True)
objects = IntegerField(null=True)
segment_size = FloatField(default=0) # this should be stored as MB

View File

@ -284,6 +284,15 @@ class RecordingMaintainer(threading.Thread):
f"Copied {file_path} in {datetime.datetime.now().timestamp()-start_frame} seconds."
)
try:
segment_size = round(
float(os.path.getsize(cache_path)) / 1000000, 1
)
except OSError:
segment_size = 0
os.remove(cache_path)
rand_id = "".join(
random.choices(string.ascii_lowercase + string.digits, k=6)
)
@ -297,10 +306,8 @@ class RecordingMaintainer(threading.Thread):
motion=motion_count,
# TODO: update this to store list of active objects at some point
objects=active_count,
segment_size=segment_size,
)
else:
logger.warning(f"Ignoring segment because {file_path} already exists.")
os.remove(cache_path)
except Exception as e:
logger.error(f"Unable to store recording segment {cache_path}")
Path(cache_path).unlink(missing_ok=True)

172
frigate/storage.py Normal file
View File

@ -0,0 +1,172 @@
"""Handle storage retention and usage."""
import logging
from pathlib import Path
import shutil
import threading
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} MB/hr.")
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 / 1000000, 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."""
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(f"Exiting storage maintainer...")

View File

@ -0,0 +1,239 @@
import datetime
import json
import logging
import os
import unittest
from unittest.mock import MagicMock, patch
from peewee import DoesNotExist
from peewee_migrate import Router
from playhouse.sqlite_ext import SqliteExtDatabase
from playhouse.sqliteq import SqliteQueueDatabase
from playhouse.shortcuts import model_to_dict
from frigate.config import FrigateConfig
from frigate.http import create_app
from frigate.models import Event, Recordings
from frigate.storage import StorageMaintainer
from frigate.test.const import TEST_DB, TEST_DB_CLEANUPS
class TestHttp(unittest.TestCase):
def setUp(self):
# setup clean database for each test run
migrate_db = SqliteExtDatabase("test.db")
del logging.getLogger("peewee_migrate").handlers[:]
router = Router(migrate_db)
router.run()
migrate_db.close()
self.db = SqliteQueueDatabase(TEST_DB)
models = [Event, Recordings]
self.db.bind(models)
self.minimal_config = {
"mqtt": {"host": "mqtt"},
"cameras": {
"front_door": {
"ffmpeg": {
"inputs": [
{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
]
},
"detect": {
"height": 1080,
"width": 1920,
"fps": 5,
},
}
},
}
self.double_cam_config = {
"mqtt": {"host": "mqtt"},
"cameras": {
"front_door": {
"ffmpeg": {
"inputs": [
{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
]
},
"detect": {
"height": 1080,
"width": 1920,
"fps": 5,
},
},
"back_door": {
"ffmpeg": {
"inputs": [
{"path": "rtsp://10.0.0.2:554/video", "roles": ["detect"]}
]
},
"detect": {
"height": 1080,
"width": 1920,
"fps": 5,
},
},
},
}
def tearDown(self):
if not self.db.is_closed():
self.db.close()
try:
for file in TEST_DB_CLEANUPS:
os.remove(file)
except OSError:
pass
def test_segment_calculations(self):
"""Test that the segment calculations are correct."""
config = FrigateConfig(**self.double_cam_config)
storage = StorageMaintainer(config, MagicMock())
time_keep = datetime.datetime.now().timestamp()
rec_fd_id = "1234567.frontdoor"
rec_bd_id = "1234568.backdoor"
_insert_mock_recording(
rec_fd_id,
time_keep,
time_keep + 10,
camera="front_door",
seg_size=4,
seg_dur=10,
)
_insert_mock_recording(
rec_bd_id,
time_keep + 10,
time_keep + 20,
camera="back_door",
seg_size=8,
seg_dur=20,
)
storage.calculate_camera_bandwidth()
assert storage.camera_storage_stats == {
"front_door": {"bandwidth": 1440, "needs_refresh": True},
"back_door": {"bandwidth": 2880, "needs_refresh": True},
}
def test_segment_calculations_with_zero_segments(self):
"""Ensure segment calculation does not fail when migrating from previous version."""
config = FrigateConfig(**self.minimal_config)
storage = StorageMaintainer(config, MagicMock())
time_keep = datetime.datetime.now().timestamp()
rec_fd_id = "1234567.frontdoor"
_insert_mock_recording(
rec_fd_id,
time_keep,
time_keep + 10,
camera="front_door",
seg_size=0,
seg_dur=10,
)
storage.calculate_camera_bandwidth()
assert storage.camera_storage_stats == {
"front_door": {"bandwidth": 0, "needs_refresh": True},
}
def test_storage_cleanup(self):
"""Ensure that all recordings are cleaned up when necessary."""
config = FrigateConfig(**self.minimal_config)
storage = StorageMaintainer(config, MagicMock())
id = "123456.keep"
time_keep = datetime.datetime.now().timestamp()
_insert_mock_event(id, time_keep, time_keep + 30, True)
rec_k_id = "1234567.keep"
rec_k2_id = "1234568.keep"
rec_k3_id = "1234569.keep"
_insert_mock_recording(rec_k_id, time_keep, time_keep + 10)
_insert_mock_recording(rec_k2_id, time_keep + 10, time_keep + 20)
_insert_mock_recording(rec_k3_id, time_keep + 20, time_keep + 30)
id2 = "7890.delete"
time_delete = datetime.datetime.now().timestamp() - 360
_insert_mock_event(id2, time_delete, time_delete + 30, False)
rec_d_id = "78901.delete"
rec_d2_id = "78902.delete"
rec_d3_id = "78903.delete"
_insert_mock_recording(rec_d_id, time_delete, time_delete + 10)
_insert_mock_recording(rec_d2_id, time_delete + 10, time_delete + 20)
_insert_mock_recording(rec_d3_id, time_delete + 20, time_delete + 30)
storage.calculate_camera_bandwidth()
storage.reduce_storage_consumption()
with self.assertRaises(DoesNotExist):
assert Recordings.get(Recordings.id == rec_k_id)
assert Recordings.get(Recordings.id == rec_k2_id)
assert Recordings.get(Recordings.id == rec_k3_id)
Recordings.get(Recordings.id == rec_d_id)
Recordings.get(Recordings.id == rec_d2_id)
Recordings.get(Recordings.id == rec_d3_id)
def test_storage_cleanup_keeps_retained(self):
"""Ensure that all recordings are cleaned up when necessary."""
config = FrigateConfig(**self.minimal_config)
storage = StorageMaintainer(config, MagicMock())
id = "123456.keep"
time_keep = datetime.datetime.now().timestamp()
_insert_mock_event(id, time_keep, time_keep + 30, True)
rec_k_id = "1234567.keep"
rec_k2_id = "1234568.keep"
rec_k3_id = "1234569.keep"
_insert_mock_recording(rec_k_id, time_keep, time_keep + 10)
_insert_mock_recording(rec_k2_id, time_keep + 10, time_keep + 20)
_insert_mock_recording(rec_k3_id, time_keep + 20, time_keep + 30)
time_delete = datetime.datetime.now().timestamp() - 7200
for i in range(0, 59):
_insert_mock_recording(
f"{123456 + i}.delete", time_delete, time_delete + 600
)
storage.calculate_camera_bandwidth()
storage.reduce_storage_consumption()
assert Recordings.get(Recordings.id == rec_k_id)
assert Recordings.get(Recordings.id == rec_k2_id)
assert Recordings.get(Recordings.id == rec_k3_id)
def _insert_mock_event(id: str, start: int, end: int, retain: bool) -> Event:
"""Inserts a basic event model with a given id."""
return Event.insert(
id=id,
label="Mock",
camera="front_door",
start_time=start,
end_time=end,
top_score=100,
false_positive=False,
zones=list(),
thumbnail="",
region=[],
box=[],
area=0,
has_clip=True,
has_snapshot=True,
retain_indefinitely=retain,
).execute()
def _insert_mock_recording(
id: str, start: int, end: int, camera="front_door", seg_size=8, seg_dur=10
) -> Event:
"""Inserts a basic recording model with a given id."""
return Recordings.insert(
id=id,
camera=camera,
path=f"/recordings/{id}",
start_time=start,
end_time=end,
duration=seg_dur,
motion=True,
objects=True,
segment_size=seg_size,
).execute()

View File

@ -0,0 +1,46 @@
"""Peewee migrations -- 012_add_segment_size.py.
Some examples (model - class or model name)::
> Model = migrator.orm['model_name'] # Return model in current state by name
> migrator.sql(sql) # Run custom SQL
> migrator.python(func, *args, **kwargs) # Run python code
> migrator.create_model(Model) # Create a model (could be used as decorator)
> migrator.remove_model(model, cascade=True) # Remove a model
> migrator.add_fields(model, **fields) # Add fields to a model
> migrator.change_fields(model, **fields) # Change fields
> migrator.remove_fields(model, *field_names, cascade=True)
> migrator.rename_field(model, old_field_name, new_field_name)
> migrator.rename_table(model, new_table_name)
> migrator.add_index(model, *col_names, unique=False)
> migrator.drop_index(model, *col_names)
> migrator.add_not_null(model, *field_names)
> migrator.drop_not_null(model, *field_names)
> migrator.add_default(model, field_name, default)
"""
import datetime as dt
import peewee as pw
from playhouse.sqlite_ext import *
from decimal import ROUND_HALF_EVEN
from frigate.models import Recordings
try:
import playhouse.postgres_ext as pw_pext
except ImportError:
pass
SQL = pw.SQL
def migrate(migrator, database, fake=False, **kwargs):
migrator.add_fields(
Recordings,
segment_size=pw.FloatField(default=0),
)
def rollback(migrator, database, fake=False, **kwargs):
migrator.remove_fields(Recordings, ["segment_size"])