blakeblackshear.frigate/frigate/record/maintainer.py

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"""Maintain recording segments in cache."""
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import datetime
import logging
import multiprocessing as mp
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import os
import queue
import random
import string
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import subprocess as sp
import threading
from collections import defaultdict
from multiprocessing.synchronize import Event as MpEvent
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from pathlib import Path
from typing import Any, Tuple
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import psutil
from frigate.config import FrigateConfig, RetainModeEnum
from frigate.const import CACHE_DIR, MAX_SEGMENT_DURATION, RECORD_DIR
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from frigate.models import Event, Recordings
from frigate.types import RecordMetricsTypes
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from frigate.util import area
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logger = logging.getLogger(__name__)
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class RecordingMaintainer(threading.Thread):
def __init__(
self,
config: FrigateConfig,
recordings_info_queue: mp.Queue,
process_info: dict[str, RecordMetricsTypes],
stop_event: MpEvent,
):
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threading.Thread.__init__(self)
self.name = "recording_maintainer"
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self.config = config
self.recordings_info_queue = recordings_info_queue
self.process_info = process_info
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self.stop_event = stop_event
self.recordings_info: dict[str, Any] = defaultdict(list)
self.end_time_cache: dict[str, Tuple[datetime.datetime, float]] = {}
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def move_files(self) -> None:
cache_files = sorted(
[
d
for d in os.listdir(CACHE_DIR)
if os.path.isfile(os.path.join(CACHE_DIR, d))
and d.endswith(".mp4")
and not d.startswith("clip_")
]
)
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files_in_use = []
for process in psutil.process_iter():
try:
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if process.name() != "ffmpeg":
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continue
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flist = process.open_files()
if flist:
for nt in flist:
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if nt.path.startswith(CACHE_DIR):
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files_in_use.append(nt.path.split("/")[-1])
except psutil.Error:
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continue
# group recordings by camera
grouped_recordings: defaultdict[str, list[dict[str, Any]]] = defaultdict(list)
for cache in cache_files:
# Skip files currently in use
if cache in files_in_use:
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continue
cache_path = os.path.join(CACHE_DIR, cache)
basename = os.path.splitext(cache)[0]
camera, date = basename.rsplit("-", maxsplit=1)
start_time = datetime.datetime.strptime(date, "%Y%m%d%H%M%S")
grouped_recordings[camera].append(
{
"cache_path": cache_path,
"start_time": start_time,
}
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)
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# delete all cached files past the most recent 5
keep_count = 5
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for camera in grouped_recordings.keys():
segment_count = len(grouped_recordings[camera])
if segment_count > keep_count:
logger.warning(
f"Unable to keep up with recording segments in cache for {camera}. Keeping the {keep_count} most recent segments out of {segment_count} and discarding the rest..."
)
to_remove = grouped_recordings[camera][:-keep_count]
for rec in to_remove:
cache_path = rec["cache_path"]
Path(cache_path).unlink(missing_ok=True)
self.end_time_cache.pop(cache_path, None)
grouped_recordings[camera] = grouped_recordings[camera][-keep_count:]
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for camera, recordings in grouped_recordings.items():
# clear out all the recording info for old frames
while (
len(self.recordings_info[camera]) > 0
and self.recordings_info[camera][0][0]
< recordings[0]["start_time"].timestamp()
):
self.recordings_info[camera].pop(0)
# get all events with the end time after the start of the oldest cache file
# or with end_time None
events: Event = (
Event.select()
.where(
Event.camera == camera,
(Event.end_time is None)
| (Event.end_time >= recordings[0]["start_time"].timestamp()),
Event.has_clip,
)
.order_by(Event.start_time)
)
for r in recordings:
cache_path = r["cache_path"]
start_time = r["start_time"]
# Just delete files if recordings are turned off
if (
camera not in self.config.cameras
or not self.process_info[camera]["record_enabled"].value
):
Path(cache_path).unlink(missing_ok=True)
self.end_time_cache.pop(cache_path, None)
continue
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if cache_path in self.end_time_cache:
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end_time, duration = self.end_time_cache[cache_path]
else:
ffprobe_cmd = [
"ffprobe",
"-v",
"error",
"-show_entries",
"format=duration",
"-of",
"default=noprint_wrappers=1:nokey=1",
f"{cache_path}",
]
p = sp.run(ffprobe_cmd, capture_output=True)
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if p.returncode == 0 and p.stdout.decode():
duration = float(p.stdout.decode().strip())
else:
duration = -1
# ensure duration is within expected length
if 0 < duration < MAX_SEGMENT_DURATION:
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end_time = start_time + datetime.timedelta(seconds=duration)
self.end_time_cache[cache_path] = (end_time, duration)
else:
if duration == -1:
logger.warning(
f"Failed to probe corrupt segment {cache_path} : {p.returncode} - {str(p.stderr)}"
)
logger.warning(
f"Discarding a corrupt recording segment: {cache_path}"
)
Path(cache_path).unlink(missing_ok=True)
continue
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# if cached file's start_time is earlier than the retain days for the camera
if start_time <= (
(
datetime.datetime.now()
- datetime.timedelta(
days=self.config.cameras[camera].record.retain.days
)
)
):
# if the cached segment overlaps with the events:
overlaps = False
for event in events:
# if the event starts in the future, stop checking events
# and remove this segment
if event.start_time > end_time.timestamp():
overlaps = False
Path(cache_path).unlink(missing_ok=True)
self.end_time_cache.pop(cache_path, None)
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 >= start_time.timestamp()
):
overlaps = True
break
if overlaps:
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record_mode = self.config.cameras[
camera
].record.events.retain.mode
# move from cache to recordings immediately
self.store_segment(
camera,
start_time,
end_time,
duration,
cache_path,
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record_mode,
)
# if it doesn't overlap with an event, go ahead and drop the segment
# if it ends more than the configured pre_capture for the camera
else:
pre_capture = self.config.cameras[
camera
].record.events.pre_capture
most_recently_processed_frame_time = self.recordings_info[
camera
][-1][0]
retain_cutoff = most_recently_processed_frame_time - pre_capture
if end_time.timestamp() < retain_cutoff:
Path(cache_path).unlink(missing_ok=True)
self.end_time_cache.pop(cache_path, None)
# else retain days includes this segment
else:
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record_mode = self.config.cameras[camera].record.retain.mode
self.store_segment(
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camera, start_time, end_time, duration, cache_path, record_mode
)
def segment_stats(
self, camera: str, start_time: datetime.datetime, end_time: datetime.datetime
) -> Tuple[int, int]:
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active_count = 0
motion_count = 0
for frame in self.recordings_info[camera]:
# frame is after end time of segment
if frame[0] > end_time.timestamp():
break
# frame is before start time of segment
if frame[0] < start_time.timestamp():
continue
active_count += len(
[
o
for o in frame[1]
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if not o["false_positive"] and o["motionless_count"] == 0
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]
)
motion_count += sum([area(box) for box in frame[2]])
return (motion_count, active_count)
def store_segment(
self,
camera: str,
start_time: datetime.datetime,
end_time: datetime.datetime,
duration: float,
cache_path: str,
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store_mode: RetainModeEnum,
) -> None:
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motion_count, active_count = self.segment_stats(camera, start_time, end_time)
# check if the segment shouldn't be stored
if (store_mode == RetainModeEnum.motion and motion_count == 0) or (
store_mode == RetainModeEnum.active_objects and active_count == 0
):
Path(cache_path).unlink(missing_ok=True)
self.end_time_cache.pop(cache_path, None)
return
directory = os.path.join(
RECORD_DIR,
start_time.astimezone(tz=datetime.timezone.utc).strftime("%Y-%m-%d/%H"),
camera,
)
if not os.path.exists(directory):
os.makedirs(directory)
file_name = (
f"{start_time.replace(tzinfo=datetime.timezone.utc).strftime('%M.%S.mp4')}"
)
file_path = os.path.join(directory, file_name)
try:
if not os.path.exists(file_path):
start_frame = datetime.datetime.now().timestamp()
# add faststart to kept segments to improve metadata reading
ffmpeg_cmd = [
"ffmpeg",
"-hide_banner",
"-y",
"-i",
cache_path,
"-c",
"copy",
"-movflags",
"+faststart",
file_path,
]
p = sp.run(
ffmpeg_cmd,
encoding="ascii",
capture_output=True,
)
if p.returncode != 0:
logger.error(f"Unable to convert {cache_path} to {file_path}")
logger.error(p.stderr)
return
else:
logger.debug(
f"Copied {file_path} in {datetime.datetime.now().timestamp()-start_frame} seconds."
)
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
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try:
# get the segment size of the cache file
# file without faststart is same size
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
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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)
)
Recordings.create(
id=f"{start_time.timestamp()}-{rand_id}",
camera=camera,
path=file_path,
start_time=start_time.timestamp(),
end_time=end_time.timestamp(),
duration=duration,
motion=motion_count,
# TODO: update this to store list of active objects at some point
objects=active_count,
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
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segment_size=segment_size,
)
except Exception as e:
logger.error(f"Unable to store recording segment {cache_path}")
Path(cache_path).unlink(missing_ok=True)
logger.error(e)
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# clear end_time cache
self.end_time_cache.pop(cache_path, None)
def run(self) -> None:
# Check for new files every 5 seconds
wait_time = 5.0
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while not self.stop_event.wait(wait_time):
run_start = datetime.datetime.now().timestamp()
# empty the recordings info queue
while True:
try:
(
camera,
frame_time,
current_tracked_objects,
motion_boxes,
regions,
) = self.recordings_info_queue.get(False)
if self.process_info[camera]["record_enabled"].value:
self.recordings_info[camera].append(
(
frame_time,
current_tracked_objects,
motion_boxes,
regions,
)
)
except queue.Empty:
break
try:
self.move_files()
except Exception as e:
logger.error(
"Error occurred when attempting to maintain recording cache"
)
logger.error(e)
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duration = datetime.datetime.now().timestamp() - run_start
wait_time = max(0, 5 - duration)
logger.info("Exiting recording maintenance...")