mirror of
https://github.com/blakeblackshear/frigate.git
synced 2024-11-21 19:07:46 +01:00
727 lines
26 KiB
Python
727 lines
26 KiB
Python
import datetime
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import logging
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import multiprocessing as mp
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import os
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import secrets
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import shutil
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from multiprocessing import Queue
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from multiprocessing.synchronize import Event as MpEvent
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from typing import Optional
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import psutil
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import uvicorn
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from peewee_migrate import Router
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from playhouse.sqlite_ext import SqliteExtDatabase
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import frigate.util as util
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from frigate.api.auth import hash_password
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from frigate.api.fastapi_app import create_fastapi_app
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from frigate.camera import CameraMetrics, PTZMetrics
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from frigate.comms.config_updater import ConfigPublisher
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from frigate.comms.dispatcher import Communicator, Dispatcher
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from frigate.comms.event_metadata_updater import (
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EventMetadataPublisher,
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EventMetadataTypeEnum,
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)
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from frigate.comms.inter_process import InterProcessCommunicator
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from frigate.comms.mqtt import MqttClient
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from frigate.comms.webpush import WebPushClient
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from frigate.comms.ws import WebSocketClient
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from frigate.comms.zmq_proxy import ZmqProxy
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from frigate.config.config import FrigateConfig
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from frigate.const import (
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CACHE_DIR,
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CLIPS_DIR,
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CONFIG_DIR,
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EXPORT_DIR,
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MODEL_CACHE_DIR,
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RECORD_DIR,
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)
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from frigate.db.sqlitevecq import SqliteVecQueueDatabase
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from frigate.embeddings import EmbeddingsContext, manage_embeddings
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from frigate.events.audio import AudioProcessor
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from frigate.events.cleanup import EventCleanup
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from frigate.events.external import ExternalEventProcessor
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from frigate.events.maintainer import EventProcessor
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from frigate.models import (
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Event,
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Export,
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Previews,
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Recordings,
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RecordingsToDelete,
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Regions,
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ReviewSegment,
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Timeline,
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User,
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)
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from frigate.object_detection import ObjectDetectProcess
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from frigate.object_processing import TrackedObjectProcessor
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from frigate.output.output import output_frames
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from frigate.ptz.autotrack import PtzAutoTrackerThread
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from frigate.ptz.onvif import OnvifController
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from frigate.record.cleanup import RecordingCleanup
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from frigate.record.export import migrate_exports
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from frigate.record.record import manage_recordings
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from frigate.review.review import manage_review_segments
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from frigate.stats.emitter import StatsEmitter
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from frigate.stats.util import stats_init
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from frigate.storage import StorageMaintainer
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from frigate.timeline import TimelineProcessor
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from frigate.util.builtin import empty_and_close_queue
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from frigate.util.image import SharedMemoryFrameManager, UntrackedSharedMemory
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from frigate.util.object import get_camera_regions_grid
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from frigate.version import VERSION
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from frigate.video import capture_camera, track_camera
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from frigate.watchdog import FrigateWatchdog
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logger = logging.getLogger(__name__)
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class FrigateApp:
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def __init__(self, config: FrigateConfig) -> None:
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self.audio_process: Optional[mp.Process] = None
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self.stop_event: MpEvent = mp.Event()
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self.detection_queue: Queue = mp.Queue()
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self.detectors: dict[str, ObjectDetectProcess] = {}
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self.detection_out_events: dict[str, MpEvent] = {}
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self.detection_shms: list[mp.shared_memory.SharedMemory] = []
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self.log_queue: Queue = mp.Queue()
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self.camera_metrics: dict[str, CameraMetrics] = {}
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self.ptz_metrics: dict[str, PTZMetrics] = {}
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self.processes: dict[str, int] = {}
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self.embeddings: Optional[EmbeddingsContext] = None
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self.region_grids: dict[str, list[list[dict[str, int]]]] = {}
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self.frame_manager = SharedMemoryFrameManager()
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self.config = config
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def ensure_dirs(self) -> None:
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for d in [
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CONFIG_DIR,
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RECORD_DIR,
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f"{CLIPS_DIR}/cache",
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CACHE_DIR,
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MODEL_CACHE_DIR,
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EXPORT_DIR,
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]:
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if not os.path.exists(d) and not os.path.islink(d):
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logger.info(f"Creating directory: {d}")
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os.makedirs(d)
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else:
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logger.debug(f"Skipping directory: {d}")
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def init_camera_metrics(self) -> None:
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# create camera_metrics
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for camera_name in self.config.cameras.keys():
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self.camera_metrics[camera_name] = CameraMetrics()
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self.ptz_metrics[camera_name] = PTZMetrics(
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autotracker_enabled=self.config.cameras[
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camera_name
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].onvif.autotracking.enabled
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)
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def init_queues(self) -> None:
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# Queue for cameras to push tracked objects to
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self.detected_frames_queue: Queue = mp.Queue(
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maxsize=sum(camera.enabled for camera in self.config.cameras.values()) * 2
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)
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# Queue for timeline events
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self.timeline_queue: Queue = mp.Queue()
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def init_database(self) -> None:
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def vacuum_db(db: SqliteExtDatabase) -> None:
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logger.info("Running database vacuum")
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db.execute_sql("VACUUM;")
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try:
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with open(f"{CONFIG_DIR}/.vacuum", "w") as f:
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f.write(str(datetime.datetime.now().timestamp()))
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except PermissionError:
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logger.error("Unable to write to /config to save DB state")
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def cleanup_timeline_db(db: SqliteExtDatabase) -> None:
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db.execute_sql(
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"DELETE FROM timeline WHERE source_id NOT IN (SELECT id FROM event);"
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)
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try:
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with open(f"{CONFIG_DIR}/.timeline", "w") as f:
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f.write(str(datetime.datetime.now().timestamp()))
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except PermissionError:
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logger.error("Unable to write to /config to save DB state")
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# Migrate DB schema
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migrate_db = SqliteExtDatabase(self.config.database.path)
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# Run migrations
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del logging.getLogger("peewee_migrate").handlers[:]
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router = Router(migrate_db)
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if len(router.diff) > 0:
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logger.info("Making backup of DB before migrations...")
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shutil.copyfile(
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self.config.database.path,
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self.config.database.path.replace("frigate.db", "backup.db"),
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)
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router.run()
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# this is a temporary check to clean up user DB from beta
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# will be removed before final release
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if not os.path.exists(f"{CONFIG_DIR}/.timeline"):
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cleanup_timeline_db(migrate_db)
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# check if vacuum needs to be run
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if os.path.exists(f"{CONFIG_DIR}/.vacuum"):
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with open(f"{CONFIG_DIR}/.vacuum") as f:
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try:
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timestamp = round(float(f.readline()))
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except Exception:
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timestamp = 0
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if (
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timestamp
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< (
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datetime.datetime.now() - datetime.timedelta(weeks=2)
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).timestamp()
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):
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vacuum_db(migrate_db)
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else:
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vacuum_db(migrate_db)
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migrate_db.close()
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def init_go2rtc(self) -> None:
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for proc in psutil.process_iter(["pid", "name"]):
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if proc.info["name"] == "go2rtc":
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logger.info(f"go2rtc process pid: {proc.info['pid']}")
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self.processes["go2rtc"] = proc.info["pid"]
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def init_recording_manager(self) -> None:
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recording_process = util.Process(
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target=manage_recordings,
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name="recording_manager",
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args=(self.config,),
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)
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recording_process.daemon = True
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self.recording_process = recording_process
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recording_process.start()
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self.processes["recording"] = recording_process.pid or 0
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logger.info(f"Recording process started: {recording_process.pid}")
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def init_review_segment_manager(self) -> None:
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review_segment_process = util.Process(
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target=manage_review_segments,
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name="review_segment_manager",
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args=(self.config,),
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)
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review_segment_process.daemon = True
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self.review_segment_process = review_segment_process
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review_segment_process.start()
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self.processes["review_segment"] = review_segment_process.pid or 0
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logger.info(f"Review process started: {review_segment_process.pid}")
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def init_embeddings_manager(self) -> None:
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if not self.config.semantic_search.enabled:
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return
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embedding_process = util.Process(
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target=manage_embeddings,
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name="embeddings_manager",
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args=(self.config,),
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)
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embedding_process.daemon = True
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self.embedding_process = embedding_process
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embedding_process.start()
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self.processes["embeddings"] = embedding_process.pid or 0
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logger.info(f"Embedding process started: {embedding_process.pid}")
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def bind_database(self) -> None:
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"""Bind db to the main process."""
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# NOTE: all db accessing processes need to be created before the db can be bound to the main process
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self.db = SqliteVecQueueDatabase(
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self.config.database.path,
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pragmas={
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"auto_vacuum": "FULL", # Does not defragment database
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"cache_size": -512 * 1000, # 512MB of cache,
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"synchronous": "NORMAL", # Safe when using WAL https://www.sqlite.org/pragma.html#pragma_synchronous
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},
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timeout=max(
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60, 10 * len([c for c in self.config.cameras.values() if c.enabled])
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),
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load_vec_extension=self.config.semantic_search.enabled,
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)
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models = [
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Event,
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Export,
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Previews,
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Recordings,
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RecordingsToDelete,
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Regions,
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ReviewSegment,
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Timeline,
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User,
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]
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self.db.bind(models)
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def check_db_data_migrations(self) -> None:
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# check if vacuum needs to be run
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if not os.path.exists(f"{CONFIG_DIR}/.exports"):
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try:
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with open(f"{CONFIG_DIR}/.exports", "w") as f:
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f.write(str(datetime.datetime.now().timestamp()))
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except PermissionError:
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logger.error("Unable to write to /config to save export state")
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migrate_exports(self.config.ffmpeg, list(self.config.cameras.keys()))
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def init_embeddings_client(self) -> None:
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if self.config.semantic_search.enabled:
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# Create a client for other processes to use
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self.embeddings = EmbeddingsContext(self.db)
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def init_external_event_processor(self) -> None:
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self.external_event_processor = ExternalEventProcessor(self.config)
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def init_inter_process_communicator(self) -> None:
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self.inter_process_communicator = InterProcessCommunicator()
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self.inter_config_updater = ConfigPublisher()
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self.event_metadata_updater = EventMetadataPublisher(
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EventMetadataTypeEnum.regenerate_description
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)
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self.inter_zmq_proxy = ZmqProxy()
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def init_onvif(self) -> None:
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self.onvif_controller = OnvifController(self.config, self.ptz_metrics)
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def init_dispatcher(self) -> None:
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comms: list[Communicator] = []
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if self.config.mqtt.enabled:
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comms.append(MqttClient(self.config))
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if self.config.notifications.enabled_in_config:
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comms.append(WebPushClient(self.config))
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comms.append(WebSocketClient(self.config))
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comms.append(self.inter_process_communicator)
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self.dispatcher = Dispatcher(
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self.config,
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self.inter_config_updater,
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self.onvif_controller,
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self.ptz_metrics,
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comms,
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)
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def start_detectors(self) -> None:
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for name in self.config.cameras.keys():
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self.detection_out_events[name] = mp.Event()
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try:
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largest_frame = max(
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[
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det.model.height * det.model.width * 3
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if det.model is not None
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else 320
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for det in self.config.detectors.values()
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]
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)
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shm_in = UntrackedSharedMemory(
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name=name,
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create=True,
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size=largest_frame,
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)
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except FileExistsError:
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shm_in = UntrackedSharedMemory(name=name)
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try:
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shm_out = UntrackedSharedMemory(
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name=f"out-{name}", create=True, size=20 * 6 * 4
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)
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except FileExistsError:
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shm_out = UntrackedSharedMemory(name=f"out-{name}")
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self.detection_shms.append(shm_in)
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self.detection_shms.append(shm_out)
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for name, detector_config in self.config.detectors.items():
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self.detectors[name] = ObjectDetectProcess(
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name,
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self.detection_queue,
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self.detection_out_events,
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detector_config,
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)
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def start_ptz_autotracker(self) -> None:
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self.ptz_autotracker_thread = PtzAutoTrackerThread(
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self.config,
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self.onvif_controller,
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self.ptz_metrics,
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self.dispatcher,
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self.stop_event,
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)
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self.ptz_autotracker_thread.start()
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def start_detected_frames_processor(self) -> None:
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self.detected_frames_processor = TrackedObjectProcessor(
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self.config,
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self.dispatcher,
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self.detected_frames_queue,
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self.ptz_autotracker_thread,
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self.stop_event,
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)
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self.detected_frames_processor.start()
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def start_video_output_processor(self) -> None:
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output_processor = util.Process(
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target=output_frames,
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name="output_processor",
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args=(self.config,),
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)
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output_processor.daemon = True
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self.output_processor = output_processor
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output_processor.start()
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logger.info(f"Output process started: {output_processor.pid}")
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def init_historical_regions(self) -> None:
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# delete region grids for removed or renamed cameras
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cameras = list(self.config.cameras.keys())
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Regions.delete().where(~(Regions.camera << cameras)).execute()
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# create or update region grids for each camera
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for camera in self.config.cameras.values():
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assert camera.name is not None
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self.region_grids[camera.name] = get_camera_regions_grid(
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camera.name,
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camera.detect,
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max(self.config.model.width, self.config.model.height),
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)
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def start_camera_processors(self) -> None:
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for name, config in self.config.cameras.items():
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if not self.config.cameras[name].enabled:
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logger.info(f"Camera processor not started for disabled camera {name}")
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continue
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camera_process = util.Process(
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target=track_camera,
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name=f"camera_processor:{name}",
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args=(
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name,
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config,
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self.config.model,
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self.config.model.merged_labelmap,
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self.detection_queue,
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self.detection_out_events[name],
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self.detected_frames_queue,
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self.camera_metrics[name],
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self.ptz_metrics[name],
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self.region_grids[name],
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),
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daemon=True,
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)
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self.camera_metrics[name].process = camera_process
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camera_process.start()
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logger.info(f"Camera processor started for {name}: {camera_process.pid}")
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def start_camera_capture_processes(self) -> None:
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shm_frame_count = self.shm_frame_count()
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for name, config in self.config.cameras.items():
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if not self.config.cameras[name].enabled:
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logger.info(f"Capture process not started for disabled camera {name}")
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continue
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# pre-create shms
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for i in range(shm_frame_count):
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frame_size = config.frame_shape_yuv[0] * config.frame_shape_yuv[1]
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self.frame_manager.create(f"{config.name}{i}", frame_size)
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capture_process = util.Process(
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target=capture_camera,
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name=f"camera_capture:{name}",
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args=(name, config, shm_frame_count, self.camera_metrics[name]),
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)
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capture_process.daemon = True
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self.camera_metrics[name].capture_process = capture_process
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capture_process.start()
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logger.info(f"Capture process started for {name}: {capture_process.pid}")
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def start_audio_processor(self) -> None:
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audio_cameras = [
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c
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for c in self.config.cameras.values()
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if c.enabled and c.audio.enabled_in_config
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]
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if audio_cameras:
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self.audio_process = AudioProcessor(audio_cameras, self.camera_metrics)
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self.audio_process.start()
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self.processes["audio_detector"] = self.audio_process.pid or 0
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def start_timeline_processor(self) -> None:
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self.timeline_processor = TimelineProcessor(
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self.config, self.timeline_queue, self.stop_event
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)
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self.timeline_processor.start()
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def start_event_processor(self) -> None:
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self.event_processor = EventProcessor(
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self.config,
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self.timeline_queue,
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self.stop_event,
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)
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self.event_processor.start()
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def start_event_cleanup(self) -> None:
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self.event_cleanup = EventCleanup(self.config, self.stop_event, self.db)
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self.event_cleanup.start()
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def start_record_cleanup(self) -> None:
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self.record_cleanup = RecordingCleanup(self.config, self.stop_event)
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self.record_cleanup.start()
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def start_storage_maintainer(self) -> None:
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self.storage_maintainer = StorageMaintainer(self.config, self.stop_event)
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self.storage_maintainer.start()
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def start_stats_emitter(self) -> None:
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self.stats_emitter = StatsEmitter(
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self.config,
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stats_init(
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self.config, self.camera_metrics, self.detectors, self.processes
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),
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self.stop_event,
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)
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self.stats_emitter.start()
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|
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def start_watchdog(self) -> None:
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self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
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|
self.frigate_watchdog.start()
|
|
|
|
def shm_frame_count(self) -> int:
|
|
total_shm = round(shutil.disk_usage("/dev/shm").total / pow(2, 20), 1)
|
|
|
|
# required for log files + nginx cache
|
|
min_req_shm = 40 + 10
|
|
|
|
if self.config.birdseye.restream:
|
|
min_req_shm += 8
|
|
|
|
available_shm = total_shm - min_req_shm
|
|
cam_total_frame_size = 0.0
|
|
|
|
for camera in self.config.cameras.values():
|
|
if camera.enabled and camera.detect.width and camera.detect.height:
|
|
cam_total_frame_size += round(
|
|
(camera.detect.width * camera.detect.height * 1.5 + 270480)
|
|
/ 1048576,
|
|
1,
|
|
)
|
|
|
|
if cam_total_frame_size == 0.0:
|
|
return 0
|
|
|
|
shm_frame_count = min(200, int(available_shm / (cam_total_frame_size)))
|
|
|
|
logger.debug(
|
|
f"Calculated total camera size {available_shm} / {cam_total_frame_size} :: {shm_frame_count} frames for each camera in SHM"
|
|
)
|
|
|
|
if shm_frame_count < 20:
|
|
logger.warning(
|
|
f"The current SHM size of {total_shm}MB is too small, recommend increasing it to at least {round(min_req_shm + cam_total_frame_size * 20)}MB."
|
|
)
|
|
|
|
return shm_frame_count
|
|
|
|
def init_auth(self) -> None:
|
|
if self.config.auth.enabled:
|
|
if User.select().count() == 0:
|
|
password = secrets.token_hex(16)
|
|
password_hash = hash_password(
|
|
password, iterations=self.config.auth.hash_iterations
|
|
)
|
|
User.insert(
|
|
{
|
|
User.username: "admin",
|
|
User.password_hash: password_hash,
|
|
User.notification_tokens: [],
|
|
}
|
|
).execute()
|
|
|
|
logger.info("********************************************************")
|
|
logger.info("********************************************************")
|
|
logger.info("*** Auth is enabled, but no users exist. ***")
|
|
logger.info("*** Created a default user: ***")
|
|
logger.info("*** User: admin ***")
|
|
logger.info(f"*** Password: {password} ***")
|
|
logger.info("********************************************************")
|
|
logger.info("********************************************************")
|
|
elif self.config.auth.reset_admin_password:
|
|
password = secrets.token_hex(16)
|
|
password_hash = hash_password(
|
|
password, iterations=self.config.auth.hash_iterations
|
|
)
|
|
User.replace(
|
|
username="admin",
|
|
password_hash=password_hash,
|
|
notification_tokens=[],
|
|
).execute()
|
|
|
|
logger.info("********************************************************")
|
|
logger.info("********************************************************")
|
|
logger.info("*** Reset admin password set in the config. ***")
|
|
logger.info(f"*** Password: {password} ***")
|
|
logger.info("********************************************************")
|
|
logger.info("********************************************************")
|
|
|
|
def start(self) -> None:
|
|
logger.info(f"Starting Frigate ({VERSION})")
|
|
|
|
# Ensure global state.
|
|
self.ensure_dirs()
|
|
|
|
# Start frigate services.
|
|
self.init_camera_metrics()
|
|
self.init_queues()
|
|
self.init_database()
|
|
self.init_onvif()
|
|
self.init_recording_manager()
|
|
self.init_review_segment_manager()
|
|
self.init_go2rtc()
|
|
self.start_detectors()
|
|
self.init_embeddings_manager()
|
|
self.bind_database()
|
|
self.check_db_data_migrations()
|
|
self.init_inter_process_communicator()
|
|
self.init_dispatcher()
|
|
self.init_embeddings_client()
|
|
self.start_video_output_processor()
|
|
self.start_ptz_autotracker()
|
|
self.init_historical_regions()
|
|
self.start_detected_frames_processor()
|
|
self.start_camera_processors()
|
|
self.start_camera_capture_processes()
|
|
self.start_audio_processor()
|
|
self.start_storage_maintainer()
|
|
self.init_external_event_processor()
|
|
self.start_stats_emitter()
|
|
self.start_timeline_processor()
|
|
self.start_event_processor()
|
|
self.start_event_cleanup()
|
|
self.start_record_cleanup()
|
|
self.start_watchdog()
|
|
|
|
self.init_auth()
|
|
|
|
try:
|
|
uvicorn.run(
|
|
create_fastapi_app(
|
|
self.config,
|
|
self.db,
|
|
self.embeddings,
|
|
self.detected_frames_processor,
|
|
self.storage_maintainer,
|
|
self.onvif_controller,
|
|
self.external_event_processor,
|
|
self.stats_emitter,
|
|
self.event_metadata_updater,
|
|
),
|
|
host="127.0.0.1",
|
|
port=5001,
|
|
log_level="error",
|
|
)
|
|
finally:
|
|
self.stop()
|
|
|
|
def stop(self) -> None:
|
|
logger.info("Stopping...")
|
|
|
|
self.stop_event.set()
|
|
|
|
# set an end_time on entries without an end_time before exiting
|
|
Event.update(
|
|
end_time=datetime.datetime.now().timestamp(), has_snapshot=False
|
|
).where(Event.end_time == None).execute()
|
|
ReviewSegment.update(end_time=datetime.datetime.now().timestamp()).where(
|
|
ReviewSegment.end_time == None
|
|
).execute()
|
|
|
|
# stop the audio process
|
|
if self.audio_process:
|
|
self.audio_process.terminate()
|
|
self.audio_process.join()
|
|
|
|
# ensure the capture processes are done
|
|
for camera, metrics in self.camera_metrics.items():
|
|
capture_process = metrics.capture_process
|
|
if capture_process is not None:
|
|
logger.info(f"Waiting for capture process for {camera} to stop")
|
|
capture_process.terminate()
|
|
capture_process.join()
|
|
|
|
# ensure the camera processors are done
|
|
for camera, metrics in self.camera_metrics.items():
|
|
camera_process = metrics.process
|
|
if camera_process is not None:
|
|
logger.info(f"Waiting for process for {camera} to stop")
|
|
camera_process.terminate()
|
|
camera_process.join()
|
|
logger.info(f"Closing frame queue for {camera}")
|
|
empty_and_close_queue(metrics.frame_queue)
|
|
|
|
# ensure the detectors are done
|
|
for detector in self.detectors.values():
|
|
detector.stop()
|
|
|
|
empty_and_close_queue(self.detection_queue)
|
|
logger.info("Detection queue closed")
|
|
|
|
self.detected_frames_processor.join()
|
|
empty_and_close_queue(self.detected_frames_queue)
|
|
logger.info("Detected frames queue closed")
|
|
|
|
self.timeline_processor.join()
|
|
self.event_processor.join()
|
|
empty_and_close_queue(self.timeline_queue)
|
|
logger.info("Timeline queue closed")
|
|
|
|
self.output_processor.terminate()
|
|
self.output_processor.join()
|
|
|
|
self.recording_process.terminate()
|
|
self.recording_process.join()
|
|
|
|
self.review_segment_process.terminate()
|
|
self.review_segment_process.join()
|
|
|
|
self.external_event_processor.stop()
|
|
self.dispatcher.stop()
|
|
self.ptz_autotracker_thread.join()
|
|
|
|
self.event_cleanup.join()
|
|
self.record_cleanup.join()
|
|
self.stats_emitter.join()
|
|
self.frigate_watchdog.join()
|
|
self.db.stop()
|
|
|
|
# Save embeddings stats to disk
|
|
if self.embeddings:
|
|
self.embeddings.stop()
|
|
|
|
# Stop Communicators
|
|
self.inter_process_communicator.stop()
|
|
self.inter_config_updater.stop()
|
|
self.event_metadata_updater.stop()
|
|
self.inter_zmq_proxy.stop()
|
|
|
|
self.frame_manager.cleanup()
|
|
while len(self.detection_shms) > 0:
|
|
shm = self.detection_shms.pop()
|
|
shm.close()
|
|
shm.unlink()
|
|
|
|
os._exit(os.EX_OK)
|