blakeblackshear.frigate/frigate/record/maintainer.py

"""Maintain recording segments in cache."""

import asyncio
import datetime
import logging
import multiprocessing as mp
import os
import queue
import random
import string
import threading
from collections import defaultdict
from multiprocessing.synchronize import Event as MpEvent
from pathlib import Path
from typing import Any, Optional, Tuple

import numpy as np
import psutil

from frigate.config import FrigateConfig, RetainModeEnum
from frigate.const import (
    CACHE_DIR,
    INSERT_MANY_RECORDINGS,
    MAX_SEGMENT_DURATION,
    RECORD_DIR,
)
from frigate.models import Event, Recordings
from frigate.types import FeatureMetricsTypes
from frigate.util.image import area
from frigate.util.services import get_video_properties

logger = logging.getLogger(__name__)


class SegmentInfo:
    def __init__(
        self, motion_box_count: int, active_object_count: int, average_dBFS: int
    ) -> None:
        self.motion_box_count = motion_box_count
        self.active_object_count = active_object_count
        self.average_dBFS = average_dBFS

    def should_discard_segment(self, retain_mode: RetainModeEnum) -> bool:
        return (
            retain_mode == RetainModeEnum.motion
            and self.motion_box_count == 0
            and self.average_dBFS == 0
        ) or (
            retain_mode == RetainModeEnum.active_objects
            and self.active_object_count == 0
        )


class RecordingMaintainer(threading.Thread):
    def __init__(
        self,
        config: FrigateConfig,
        inter_process_queue: mp.Queue,
        object_recordings_info_queue: mp.Queue,
        audio_recordings_info_queue: Optional[mp.Queue],
        process_info: dict[str, FeatureMetricsTypes],
        stop_event: MpEvent,
    ):
        threading.Thread.__init__(self)
        self.name = "recording_maintainer"
        self.config = config
        self.inter_process_queue = inter_process_queue
        self.object_recordings_info_queue = object_recordings_info_queue
        self.audio_recordings_info_queue = audio_recordings_info_queue
        self.process_info = process_info
        self.stop_event = stop_event
        self.object_recordings_info: dict[str, list] = defaultdict(list)
        self.audio_recordings_info: dict[str, list] = defaultdict(list)
        self.end_time_cache: dict[str, Tuple[datetime.datetime, float]] = {}

    async 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_")
            ]
        )

        files_in_use = []
        for process in psutil.process_iter():
            try:
                if process.name() != "ffmpeg":
                    continue
                flist = process.open_files()
                if flist:
                    for nt in flist:
                        if nt.path.startswith(CACHE_DIR):
                            files_in_use.append(nt.path.split("/")[-1])
            except psutil.Error:
                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:
                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,
                }
            )

        # delete all cached files past the most recent 5
        keep_count = 5
        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:]

        tasks = []
        for camera, recordings in grouped_recordings.items():
            # clear out all the object recording info for old frames
            while (
                len(self.object_recordings_info[camera]) > 0
                and self.object_recordings_info[camera][0][0]
                < recordings[0]["start_time"].timestamp()
            ):
                self.object_recordings_info[camera].pop(0)

            # clear out all the audio recording info for old frames
            while (
                len(self.audio_recordings_info[camera]) > 0
                and self.audio_recordings_info[camera][0][0]
                < recordings[0]["start_time"].timestamp()
            ):
                self.audio_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(
                    Event.start_time,
                    Event.end_time,
                )
                .where(
                    Event.camera == camera,
                    (Event.end_time == None)
                    | (Event.end_time >= recordings[0]["start_time"].timestamp()),
                    Event.has_clip,
                )
                .order_by(Event.start_time)
            )

            tasks.extend(
                [self.validate_and_move_segment(camera, events, r) for r in recordings]
            )

        recordings_to_insert: list[Optional[Recordings]] = await asyncio.gather(*tasks)

        # fire and forget recordings entries
        self.inter_process_queue.put(
            (INSERT_MANY_RECORDINGS, [r for r in recordings_to_insert if r is not None])
        )

    async def validate_and_move_segment(
        self, camera: str, events: Event, recording: dict[str, any]
    ) -> None:
        cache_path = recording["cache_path"]
        start_time = recording["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)
            return

        if cache_path in self.end_time_cache:
            end_time, duration = self.end_time_cache[cache_path]
        else:
            segment_info = await get_video_properties(cache_path, get_duration=True)

            if segment_info["duration"]:
                duration = float(segment_info["duration"])
            else:
                duration = -1

            # ensure duration is within expected length
            if 0 < duration < MAX_SEGMENT_DURATION:
                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}")

                logger.warning(f"Discarding a corrupt recording segment: {cache_path}")
                Path(cache_path).unlink(missing_ok=True)
                return

        # 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:
                record_mode = self.config.cameras[camera].record.events.retain.mode
                # move from cache to recordings immediately
                return await self.move_segment(
                    camera,
                    start_time,
                    end_time,
                    duration,
                    cache_path,
                    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.object_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:
            record_mode = self.config.cameras[camera].record.retain.mode
            return await self.move_segment(
                camera, start_time, end_time, duration, cache_path, record_mode
            )

    def segment_stats(
        self, camera: str, start_time: datetime.datetime, end_time: datetime.datetime
    ) -> SegmentInfo:
        active_count = 0
        motion_count = 0
        for frame in self.object_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]
                    if not o["false_positive"] and o["motionless_count"] == 0
                ]
            )

            motion_count += sum([area(box) for box in frame[2]])

        audio_values = []
        for frame in self.audio_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

            audio_values.append(frame[1])

        average_dBFS = 0 if not audio_values else np.average(audio_values)

        return SegmentInfo(motion_count, active_count, round(average_dBFS))

    async def move_segment(
        self,
        camera: str,
        start_time: datetime.datetime,
        end_time: datetime.datetime,
        duration: float,
        cache_path: str,
        store_mode: RetainModeEnum,
    ) -> Optional[Recordings]:
        segment_info = self.segment_stats(camera, start_time, end_time)

        # check if the segment shouldn't be stored
        if segment_info.should_discard_segment(store_mode):
            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
                p = await asyncio.create_subprocess_exec(
                    "ffmpeg",
                    "-hide_banner",
                    "-y",
                    "-i",
                    cache_path,
                    "-c",
                    "copy",
                    "-movflags",
                    "+faststart",
                    file_path,
                    stderr=asyncio.subprocess.PIPE,
                    stdout=asyncio.subprocess.DEVNULL,
                )
                await p.wait()

                if p.returncode != 0:
                    logger.error(f"Unable to convert {cache_path} to {file_path}")
                    logger.error((await p.stderr.read()).decode("ascii"))
                    return None
                else:
                    logger.debug(
                        f"Copied {file_path} in {datetime.datetime.now().timestamp()-start_frame} seconds."
                    )

                try:
                    # get the segment size of the cache file
                    # file without faststart is same size
                    segment_size = round(
                        float(os.path.getsize(cache_path)) / pow(2, 20), 1
                    )
                except OSError:
                    segment_size = 0

                os.remove(cache_path)

                rand_id = "".join(
                    random.choices(string.ascii_lowercase + string.digits, k=6)
                )

                return {
                    Recordings.id: f"{start_time.timestamp()}-{rand_id}",
                    Recordings.camera: camera,
                    Recordings.path: file_path,
                    Recordings.start_time: start_time.timestamp(),
                    Recordings.end_time: end_time.timestamp(),
                    Recordings.duration: duration,
                    Recordings.motion: segment_info.motion_box_count,
                    # TODO: update this to store list of active objects at some point
                    Recordings.objects: segment_info.active_object_count,
                    Recordings.dBFS: segment_info.average_dBFS,
                    Recordings.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)

        # clear end_time cache
        self.end_time_cache.pop(cache_path, None)
        return None

    def run(self) -> None:
        camera_count = sum(camera.enabled for camera in self.config.cameras.values())
        # Check for new files every 5 seconds
        wait_time = 0.0
        while not self.stop_event.wait(wait_time):
            run_start = datetime.datetime.now().timestamp()
            stale_frame_count = 0
            stale_frame_count_threshold = 10
            # empty the object recordings info queue
            while True:
                try:
                    (
                        camera,
                        frame_time,
                        current_tracked_objects,
                        motion_boxes,
                        regions,
                    ) = self.object_recordings_info_queue.get(True, timeout=0.01)

                    if frame_time < run_start - stale_frame_count_threshold:
                        stale_frame_count += 1

                    if self.process_info[camera]["record_enabled"].value:
                        self.object_recordings_info[camera].append(
                            (
                                frame_time,
                                current_tracked_objects,
                                motion_boxes,
                                regions,
                            )
                        )
                except queue.Empty:
                    q_size = self.object_recordings_info_queue.qsize()
                    if q_size > camera_count:
                        logger.debug(
                            f"object_recordings_info loop queue not empty ({q_size})."
                        )
                    break

            if stale_frame_count > 0:
                logger.warning(
                    f"Found {stale_frame_count} old frames, segments from recordings may be missing."
                )

            # empty the audio recordings info queue if audio is enabled
            if self.audio_recordings_info_queue:
                stale_frame_count = 0

                while True:
                    try:
                        (
                            camera,
                            frame_time,
                            dBFS,
                        ) = self.audio_recordings_info_queue.get(True, timeout=0.01)

                        if frame_time < run_start - stale_frame_count_threshold:
                            stale_frame_count += 1

                        if self.process_info[camera]["record_enabled"].value:
                            self.audio_recordings_info[camera].append(
                                (
                                    frame_time,
                                    dBFS,
                                )
                            )
                    except queue.Empty:
                        q_size = self.audio_recordings_info_queue.qsize()
                        if q_size > camera_count:
                            logger.debug(
                                f"object_recordings_info loop audio queue not empty ({q_size})."
                            )
                        break

                if stale_frame_count > 0:
                    logger.error(
                        f"Found {stale_frame_count} old audio frames, segments from recordings may be missing"
                    )

            try:
                asyncio.run(self.move_files())
            except Exception as e:
                logger.error(
                    "Error occurred when attempting to maintain recording cache"
                )
                logger.error(e)
            duration = datetime.datetime.now().timestamp() - run_start
            wait_time = max(0, 5 - duration)

        logger.info("Exiting recording maintenance...")