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10 Commits

Author SHA1 Message Date
gwmullin
01860f01c1
Merge c575fb223b into 4b6fa49449 2026-05-29 10:35:53 -07:00
Josh Hawkins
4b6fa49449
Miscellaneous fixes (#23335)
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* stabilize chart options to stop ApexCharts updateOptions running on every stats tick

* constrain height of export dialog

* stop audio maintainer when deleting a camera

* run face register and recognize API handlers in threadpool
2026-05-29 06:53:17 -06:00
Greg
c575fb223b Editor fail, re-ruff format. 2026-05-18 14:18:17 -07:00
Greg
9fa345f192 Remove 2x unnecessary index on reviewsegment, remove reference to prior code implementation in comment in event.py 2026-05-18 14:16:43 -07:00
Gdub
7b55c4b758 Rerun ruff formatting. 2026-05-18 13:39:12 -07:00
Gdub
570e2e3f76 Slightly simplify review logic and avoid duplicating the json response for empty review IDs. 2026-05-18 13:30:46 -07:00
Greg
39fba9b0a7 Use peewee instead of rw sql for the CTE query. 2026-05-11 16:46:43 -07:00
Greg
328a26b169 Collapse a few sequential queries into a single one. 2026-05-11 15:45:35 -07:00
Greg
311fb1bd19 Rewrite to use a CTE to leverage speedups by using sqllite internal optimization to do a single query instead of a starter query to get distinct labels and a subsequent loop of querys per distinct event labels.
Frigate is currently shipping sqlite 3.46.1, which is above the minimum version 3.25 needed for CTEs.
2026-05-08 16:18:37 -07:00
Greg
48b1426891 Add additional indicies on event and review tables. Every events or timeline endpoint filters on event start time and camera, this should speed things up by avoiding a range scan on the table. 2026-05-08 15:59:23 -07:00
8 changed files with 287 additions and 158 deletions

View File

@ -280,7 +280,7 @@ async def create_face(request: Request, name: str):
success response with details about the registration, or an error if face recognition
is not enabled or the image cannot be processed.""",
)
async def register_face(request: Request, name: str, file: UploadFile):
def register_face(request: Request, name: str, file: UploadFile):
if not request.app.frigate_config.face_recognition.enabled:
return JSONResponse(
status_code=400,
@ -288,7 +288,7 @@ async def register_face(request: Request, name: str, file: UploadFile):
)
context: EmbeddingsContext = request.app.embeddings
result = None if context is None else context.register_face(name, await file.read())
result = None if context is None else context.register_face(name, file.file.read())
if not isinstance(result, dict):
return JSONResponse(
@ -313,7 +313,7 @@ async def register_face(request: Request, name: str, file: UploadFile):
registered faces in the system. Returns the recognized face name and confidence score,
or an error if face recognition is not enabled or the image cannot be processed.""",
)
async def recognize_face(request: Request, file: UploadFile):
def recognize_face(request: Request, file: UploadFile):
if not request.app.frigate_config.face_recognition.enabled:
return JSONResponse(
status_code=400,
@ -321,7 +321,7 @@ async def recognize_face(request: Request, file: UploadFile):
)
context: EmbeddingsContext = request.app.embeddings
result = context.recognize_face(await file.read())
result = context.recognize_face(file.file.read())
if not isinstance(result, dict):
return JSONResponse(

View File

@ -389,82 +389,106 @@ def events_explore(
limit: int = 10,
allowed_cameras: List[str] = Depends(get_allowed_cameras_for_filter),
):
# get distinct labels for all events
distinct_labels = (
Event.select(Event.label)
.where(Event.camera << allowed_cameras)
.distinct()
.order_by(Event.label)
if not allowed_cameras:
return JSONResponse(content=[])
explore_columns = (
Event.id,
Event.camera,
Event.label,
Event.sub_label,
Event.zones,
Event.start_time,
Event.end_time,
Event.has_clip,
Event.has_snapshot,
Event.plus_id,
Event.retain_indefinitely,
Event.top_score,
Event.false_positive,
Event.box,
Event.data,
)
label_counts = {}
def event_generator():
for label_obj in distinct_labels.iterator():
label = label_obj.label
# get most recent events for this label
label_events = (
Event.select()
.where((Event.label == label) & (Event.camera << allowed_cameras))
.order_by(Event.start_time.desc())
.limit(limit)
.iterator()
)
# count total events for this label
label_counts[label] = (
Event.select()
.where((Event.label == label) & (Event.camera << allowed_cameras))
.count()
)
yield from label_events
def process_events():
for event in event_generator():
processed_event = {
"id": event.id,
"camera": event.camera,
"label": event.label,
"zones": event.zones,
"start_time": event.start_time,
"end_time": event.end_time,
"has_clip": event.has_clip,
"has_snapshot": event.has_snapshot,
"plus_id": event.plus_id,
"retain_indefinitely": event.retain_indefinitely,
"sub_label": event.sub_label,
"top_score": event.top_score,
"false_positive": event.false_positive,
"box": event.box,
"data": {
k: v
for k, v in event.data.items()
if k
in [
"type",
"score",
"top_score",
"description",
"sub_label_score",
"average_estimated_speed",
"velocity_angle",
"path_data",
"recognized_license_plate",
"recognized_license_plate_score",
]
},
"event_count": label_counts[event.label],
}
yield processed_event
# convert iterator to list and sort
processed_events = sorted(
process_events(),
key=lambda x: (x["event_count"], x["start_time"]),
reverse=True,
# Single query: per-label COUNT and top-N ranking by start_time computed
# via window functions in a CTE, then filtered to rn <= limit
event_count = (
fn.COUNT(Event.id).over(partition_by=[Event.label]).alias("event_count")
)
rn = (
fn.ROW_NUMBER()
.over(partition_by=[Event.label], order_by=[Event.start_time.desc()])
.alias("rn")
)
base_query = Event.select(
*explore_columns,
event_count,
rn,
).where(Event.camera << allowed_cameras)
ranked = base_query.cte("ranked")
query = (
Event.select(
ranked.c.id,
ranked.c.camera,
ranked.c.label,
ranked.c.sub_label,
ranked.c.zones,
ranked.c.start_time,
ranked.c.end_time,
ranked.c.has_clip,
ranked.c.has_snapshot,
ranked.c.plus_id,
ranked.c.retain_indefinitely,
ranked.c.top_score,
ranked.c.false_positive,
ranked.c.box,
ranked.c.data,
ranked.c.event_count,
)
.from_(ranked)
.with_cte(ranked)
.where(ranked.c.rn <= limit)
.order_by(ranked.c.event_count.desc(), ranked.c.start_time.desc())
.objects()
)
allowed_data_keys = {
"type",
"score",
"top_score",
"description",
"sub_label_score",
"average_estimated_speed",
"velocity_angle",
"path_data",
"recognized_license_plate",
"recognized_license_plate_score",
}
processed_events = [
{
"id": event.id,
"camera": event.camera,
"label": event.label,
"zones": event.zones,
"start_time": event.start_time,
"end_time": event.end_time,
"has_clip": event.has_clip,
"has_snapshot": event.has_snapshot,
"plus_id": event.plus_id,
"retain_indefinitely": event.retain_indefinitely,
"sub_label": event.sub_label,
"top_score": event.top_score,
"false_positive": event.false_positive,
"box": event.box,
"data": {
k: v for k, v in (event.data or {}).items() if k in allowed_data_keys
},
"event_count": event.event_count,
}
for event in query
]
return JSONResponse(content=processed_events)
@ -487,22 +511,18 @@ async def event_ids(ids: str, request: Request):
status_code=400,
)
for event_id in ids:
try:
event = Event.get(Event.id == event_id)
await require_camera_access(event.camera, request=request)
except DoesNotExist:
# we should not fail the entire request if an event is not found
continue
try:
events = Event.select().where(Event.id << ids).dicts().iterator()
return JSONResponse(list(events))
events = list(Event.select().where(Event.id << ids).dicts().iterator())
except Exception:
return JSONResponse(
content=({"success": False, "message": "Events not found"}), status_code=400
)
for event in events:
await require_camera_access(event["camera"], request=request)
return JSONResponse(events)
@router.get(
"/events/search",

View File

@ -10,7 +10,7 @@ import pandas as pd
from fastapi import APIRouter, Request
from fastapi.params import Depends
from fastapi.responses import JSONResponse
from peewee import Case, DoesNotExist, IntegrityError, fn, operator
from peewee import Case, DoesNotExist, fn, operator
from playhouse.shortcuts import model_to_dict
from frigate.api.auth import (
@ -172,11 +172,19 @@ async def review_ids(request: Request, ids: str):
status_code=400,
)
try:
reviews = list(
ReviewSegment.select().where(ReviewSegment.id << ids).dicts().iterator()
)
except Exception:
return JSONResponse(
content=({"success": False, "message": "Review segments not found"}),
status_code=400,
)
found_ids = {r["id"] for r in reviews}
for review_id in ids:
try:
review = ReviewSegment.get(ReviewSegment.id == review_id)
await require_camera_access(review.camera, request=request)
except DoesNotExist:
if review_id not in found_ids:
return JSONResponse(
content=(
{"success": False, "message": f"Review {review_id} not found"}
@ -184,16 +192,10 @@ async def review_ids(request: Request, ids: str):
status_code=404,
)
try:
reviews = (
ReviewSegment.select().where(ReviewSegment.id << ids).dicts().iterator()
)
return JSONResponse(list(reviews))
except Exception:
return JSONResponse(
content=({"success": False, "message": "Review segments not found"}),
status_code=400,
)
for review in reviews:
await require_camera_access(review["camera"], request=request)
return JSONResponse(reviews)
@router.get(
@ -490,27 +492,52 @@ async def set_multiple_reviewed(
user_id = current_user["username"]
for review_id in body.ids:
try:
review = ReviewSegment.get(ReviewSegment.id == review_id)
await require_camera_access(review.camera, request=request)
review_status = UserReviewStatus.get(
UserReviewStatus.user_id == user_id,
UserReviewStatus.review_segment == review_id,
reviews = list(
ReviewSegment.select(ReviewSegment.id, ReviewSegment.camera).where(
ReviewSegment.id << body.ids
)
)
for review in reviews:
await require_camera_access(review.camera, request=request)
found_ids = [r.id for r in reviews]
if found_ids:
existing_statuses = list(
UserReviewStatus.select().where(
(UserReviewStatus.user_id == user_id)
& (UserReviewStatus.review_segment << found_ids)
)
# Update based on the reviewed parameter
if review_status.has_been_reviewed != body.reviewed:
review_status.has_been_reviewed = body.reviewed
review_status.save()
except DoesNotExist:
try:
UserReviewStatus.create(
user_id=user_id,
review_segment=ReviewSegment.get(id=review_id),
has_been_reviewed=body.reviewed,
)
status_by_review = {s.review_segment_id: s for s in existing_statuses}
to_update = []
to_create = []
for review_id in found_ids:
if review_id in status_by_review:
status = status_by_review[review_id]
if status.has_been_reviewed != body.reviewed:
status.has_been_reviewed = body.reviewed
to_update.append(status)
else:
to_create.append(
{
"user_id": user_id,
"review_segment_id": review_id,
"has_been_reviewed": body.reviewed,
}
)
except (DoesNotExist, IntegrityError):
pass
if to_update:
UserReviewStatus.bulk_update(
to_update, fields=[UserReviewStatus.has_been_reviewed], batch_size=100
)
if to_create:
UserReviewStatus.insert_many(to_create).execute()
return JSONResponse(
content=(

View File

@ -94,9 +94,21 @@ class AudioProcessor(FrigateProcess):
self.camera_metrics = camera_metrics
self.config = config
def __stop_audio_thread(self, camera: str) -> None:
thread = self.audio_threads.pop(camera, None)
if thread is None:
return
thread.stop()
thread.join(10)
if thread.is_alive():
self.logger.warning(f"Audio maintainer thread for {camera} is still alive")
else:
self.logger.info(f"Audio maintainer stopped for {camera}")
def run(self) -> None:
self.pre_run_setup(self.config.logger)
audio_threads: dict[str, AudioEventMaintainer] = {}
self.audio_threads: dict[str, AudioEventMaintainer] = {}
threading.current_thread().name = "process:audio_manager"
@ -120,12 +132,13 @@ class AudioProcessor(FrigateProcess):
CameraConfigUpdateEnum.add,
CameraConfigUpdateEnum.audio,
CameraConfigUpdateEnum.ffmpeg,
CameraConfigUpdateEnum.remove,
],
)
def spawn_if_needed(camera: CameraConfig) -> None:
name = camera.name
if name is None or name in audio_threads:
if name is None or name in self.audio_threads:
return
if not camera.enabled or not camera.audio.enabled:
return
@ -139,7 +152,7 @@ class AudioProcessor(FrigateProcess):
self.transcription_model_runner,
self.stop_event, # type: ignore[arg-type]
)
audio_threads[name] = thread
self.audio_threads[name] = thread
thread.start()
self.logger.info(f"Audio maintainer started for {name}")
@ -148,21 +161,31 @@ class AudioProcessor(FrigateProcess):
self.logger.info(f"Audio processor started (pid: {self.pid})")
# poll for newly added cameras or cameras flipped to audio.enabled at runtime
# poll for newly added/removed cameras or cameras flipped to
# audio.enabled at runtime
while not self.stop_event.wait(timeout=1.0):
config_subscriber.check_for_updates()
updated_topics = config_subscriber.check_for_updates()
# stop maintainers for removed cameras so their ffmpeg process is
# torn down and they stop touching camera_metrics (which the camera
# maintainer has already popped for the removed camera)
for removed_camera in updated_topics.get(
CameraConfigUpdateEnum.remove.name, []
):
self.__stop_audio_thread(removed_camera)
for camera in self.config.cameras.values():
spawn_if_needed(camera)
config_subscriber.stop()
for thread in audio_threads.values():
for thread in self.audio_threads.values():
thread.join(1)
if thread.is_alive():
self.logger.info(f"Waiting for thread {thread.name:s} to exit")
thread.join(10)
for thread in audio_threads.values():
for thread in self.audio_threads.values():
if thread.is_alive():
self.logger.warning(f"Thread {thread.name} is still alive")
@ -184,6 +207,9 @@ class AudioEventMaintainer(threading.Thread):
self.camera_config = camera
self.camera_metrics = camera_metrics
self.stop_event = stop_event
# per-camera stop signal so a single maintainer can be torn down at
# runtime (e.g. on camera removal) without stopping the whole process
self.camera_stop_event = threading.Event()
self.detector = AudioTfl(stop_event, self.camera_config.audio.num_threads)
self.shape = (int(round(AUDIO_DURATION * AUDIO_SAMPLE_RATE)),)
self.chunk_size = int(round(AUDIO_DURATION * AUDIO_SAMPLE_RATE * 2))
@ -233,7 +259,11 @@ class AudioEventMaintainer(threading.Thread):
self.was_audio_enabled = camera.audio.enabled
def detect_audio(self, audio: np.ndarray) -> None:
if not self.camera_config.audio.enabled or self.stop_event.is_set():
if (
not self.camera_config.audio.enabled
or self.stop_event.is_set()
or self.camera_stop_event.is_set()
):
return
audio_as_float: np.ndarray = audio.astype(np.float32)
@ -352,11 +382,15 @@ class AudioEventMaintainer(threading.Thread):
self.logger.error(f"Error reading audio data from ffmpeg process: {e}")
log_and_restart()
def stop(self) -> None:
"""Signal this maintainer to exit its run loop and clean up."""
self.camera_stop_event.set()
def run(self) -> None:
if self.camera_config.enabled:
self.start_or_restart_ffmpeg()
while not self.stop_event.is_set():
while not self.stop_event.is_set() and not self.camera_stop_event.is_set():
# check if there is an updated config
self.config_subscriber.check_for_updates()

View File

@ -0,0 +1,27 @@
"""Peewee migrations -- 036_add_perf_indexes.py.
Adds composite/single-column indexes to speed up the most common queries
issued by the web UI on initial page load:
- event(camera, start_time DESC): /events list filtered by camera + time range
- reviewsegment(camera, start_time DESC): /api/review filtered by camera + time range
- reviewsegment(end_time): supports the end_time > after half of /api/review's range
The existing event(label, start_time DESC) index from migration 027 already
covers /events/explore, so it is intentionally not duplicated here.
"""
import peewee as pw
SQL = pw.SQL
def migrate(migrator, database, fake=False, **kwargs):
migrator.sql(
'CREATE INDEX IF NOT EXISTS "event_camera_start_time" '
'ON "event" ("camera", "start_time" DESC)'
)
def rollback(migrator, database, fake=False, **kwargs):
migrator.sql('DROP INDEX IF EXISTS "event_camera_start_time"')

View File

@ -56,18 +56,25 @@ export function CameraLineGraph({
});
}, [t, timeFormat]);
const updateTimesRef = useRef(updateTimes);
useEffect(() => {
updateTimesRef.current = updateTimes;
}, [updateTimes]);
const formatTime = useCallback(
(val: unknown) => {
return formatUnixTimestampToDateTime(
updateTimes[Math.round(val as number)],
{
timezone: config?.ui.timezone,
date_format: format,
locale,
},
);
const times = updateTimesRef.current;
const ts = times[Math.round(val as number)];
if (isNaN(ts)) {
return "";
}
return formatUnixTimestampToDateTime(ts, {
timezone: config?.ui.timezone,
date_format: format,
locale,
});
},
[config?.ui.timezone, format, locale, updateTimes],
[config?.ui.timezone, format, locale],
);
const options = useMemo(() => {
@ -211,18 +218,25 @@ export function EventsPerSecondsLineGraph({
});
}, [t, timeFormat]);
const updateTimesRef = useRef(updateTimes);
useEffect(() => {
updateTimesRef.current = updateTimes;
}, [updateTimes]);
const formatTime = useCallback(
(val: unknown) => {
return formatUnixTimestampToDateTime(
updateTimes[Math.round(val as number) - 1],
{
timezone: config?.ui.timezone,
date_format: format,
locale,
},
);
const times = updateTimesRef.current;
const ts = times[Math.round(val as number) - 1];
if (isNaN(ts)) {
return "";
}
return formatUnixTimestampToDateTime(ts, {
timezone: config?.ui.timezone,
date_format: format,
locale,
});
},
[config?.ui.timezone, format, locale, updateTimes],
[config?.ui.timezone, format, locale],
);
const options = useMemo(() => {

View File

@ -61,6 +61,11 @@ export function ThresholdBarGraph({
});
}, [t, timeFormat]);
const updateTimesRef = useRef(updateTimes);
useEffect(() => {
updateTimesRef.current = updateTimes;
}, [updateTimes]);
const formatTime = useCallback(
(val: unknown) => {
const dateIndex = Math.round(val as number);
@ -69,16 +74,18 @@ export function ThresholdBarGraph({
if (dateIndex < 0) {
timeOffset = 5 * Math.abs(dateIndex);
}
return formatUnixTimestampToDateTime(
updateTimes[Math.max(1, dateIndex) - 1] - timeOffset,
{
timezone: config?.ui.timezone,
date_format: format,
locale,
},
);
const times = updateTimesRef.current;
const ts = times[Math.max(1, dateIndex) - 1] - timeOffset;
if (isNaN(ts)) {
return "";
}
return formatUnixTimestampToDateTime(ts, {
timezone: config?.ui.timezone,
date_format: format,
locale,
});
},
[config?.ui.timezone, format, locale, updateTimes],
[config?.ui.timezone, format, locale],
);
const options = useMemo(() => {

View File

@ -287,7 +287,7 @@ export default function ExportDialog({
<Content
className={
isDesktop
? "sm:rounded-lg md:rounded-2xl"
? "scrollbar-container max-h-[90dvh] overflow-y-auto sm:rounded-lg md:rounded-2xl"
: "mx-4 rounded-lg px-4 pb-4 md:rounded-2xl"
}
>