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Author SHA1 Message Date
Patrick Decat
1125b3b0bb
Merge 7ec1d5d2c6 into 5f2536dcd8 2026-02-20 04:35:30 +01:00
Shay Collings
5f2536dcd8
Added section for macOS installation including port conflict warning, example compose file and reference to Apple Silicon Detector (#22025)
Co-authored-by: Shay Collings <shay.collings@gmail.com>
2026-02-19 08:04:28 -06:00
Patrick Decat
7ec1d5d2c6
feat: add max_size to recording settings
Resolves #9275
2025-12-31 19:34:12 +01:00
7 changed files with 180 additions and 2 deletions

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@ -510,6 +510,12 @@ record:
# Optional: Number of minutes to wait between cleanup runs (default: shown below)
# This can be used to reduce the frequency of deleting recording segments from disk if you want to minimize i/o
expire_interval: 60
# Optional: Maximum size of recordings in MB or string format (e.g. 10GB). (default: shown below)
# This serves as a hard limit for the size of the recordings for this camera.
# If the total size of recordings exceeds this limit, the oldest recordings will be deleted
# until the total size is below the limit, regardless of retention settings.
# 0 means no limit.
max_size: 0
# Optional: Two-way sync recordings database with disk on startup and once a day (default: shown below).
sync_recordings: False
# Optional: Continuous retention settings

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@ -689,3 +689,42 @@ docker run \
```
Log into QNAP, open Container Station. Frigate docker container should be listed under 'Overview' and running. Visit Frigate Web UI by clicking Frigate docker, and then clicking the URL shown at the top of the detail page.
## macOS - Apple Silicon
:::warning
macOS uses port 5000 for its Airplay Receiver service. If you want to expose port 5000 in Frigate for local app and API access the port will need to be mapped to another port on the host e.g. 5001
Failure to remap port 5000 on the host will result in the WebUI and all API endpoints on port 5000 being unreachable, even if port 5000 is exposed correctly in Docker.
:::
Docker containers on macOS can be orchestrated by either [Docker Desktop](https://docs.docker.com/desktop/setup/install/mac-install/) or [OrbStack](https://orbstack.dev) (native swift app). The difference in inference speeds is negligable, however CPU, power consumption and container start times will be lower on OrbStack because it is a native Swift application.
To allow Frigate to use the Apple Silicon Neural Engine / Processing Unit (NPU) the host must be running [Apple Silicon Detector](../configuration/object_detectors.md#apple-silicon-detector) on the host (outside Docker)
#### Docker Compose example
```yaml
services:
frigate:
container_name: frigate
image: ghcr.io/blakeblackshear/frigate:stable-arm64
restart: unless-stopped
shm_size: "512mb" # update for your cameras based on calculation above
volumes:
- /etc/localtime:/etc/localtime:ro
- /path/to/your/config:/config
- /path/to/your/recordings:/recordings
ports:
- "8971:8971"
# If exposing on macOS map to a diffent host port like 5001 or any orher port with no conflicts
# - "5001:5000" # Internal unauthenticated access. Expose carefully.
- "8554:8554" # RTSP feeds
extra_hosts:
# This is very important
# It allows frigate access to the NPU on Apple Silicon via Apple Silicon Detector
- "host.docker.internal:host-gateway" # Required to talk to the NPU detector
environment:
- FRIGATE_RTSP_PASSWORD: "password"
```

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@ -1,10 +1,11 @@
from enum import Enum
from typing import Optional
from typing import Optional, Union
from pydantic import Field
from pydantic import Field, field_validator
from frigate.const import MAX_PRE_CAPTURE
from frigate.review.types import SeverityEnum
from frigate.util.size import parse_size_to_mb
from ..base import FrigateBaseModel
@ -81,6 +82,10 @@ class RecordConfig(FrigateBaseModel):
default=60,
title="Number of minutes to wait between cleanup runs.",
)
max_size: Union[float, str] = Field(
default=0,
title="Maximum size of recordings in MB or string format (e.g. 10GB).",
)
continuous: RecordRetainConfig = Field(
default_factory=RecordRetainConfig,
title="Continuous recording retention settings.",
@ -104,6 +109,16 @@ class RecordConfig(FrigateBaseModel):
default=None, title="Keep track of original state of recording."
)
@field_validator("max_size", mode="before")
@classmethod
def parse_max_size(cls, v: Union[float, str], info: object) -> float:
if isinstance(v, str):
try:
return parse_size_to_mb(v)
except ValueError:
raise ValueError(f"Invalid size string: {v}")
return v
@property
def event_pre_capture(self) -> int:
return max(

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@ -20,6 +20,17 @@ from frigate.util.time import get_tomorrow_at_time
logger = logging.getLogger(__name__)
def get_directory_size(directory: str) -> float:
"""Get the size of a directory in MB."""
total_size = 0
for dirpath, dirnames, filenames in os.walk(directory):
for f in filenames:
fp = os.path.join(dirpath, f)
if not os.path.islink(fp):
total_size += os.path.getsize(fp)
return total_size / 1000000
class RecordingCleanup(threading.Thread):
"""Cleanup existing recordings based on retention config."""
@ -120,6 +131,7 @@ class RecordingCleanup(threading.Thread):
Recordings.objects,
Recordings.motion,
Recordings.dBFS,
Recordings.segment_size,
)
.where(
(Recordings.camera == config.name)
@ -206,6 +218,10 @@ class RecordingCleanup(threading.Thread):
Recordings.id << deleted_recordings_list[i : i + max_deletes]
).execute()
# Check if we need to enforce max_size
if config.record.max_size > 0:
self.enforce_max_size(config, deleted_recordings)
previews: list[Previews] = (
Previews.select(
Previews.id,
@ -266,6 +282,52 @@ class RecordingCleanup(threading.Thread):
Previews.id << deleted_previews_list[i : i + max_deletes]
).execute()
def enforce_max_size(
self, config: CameraConfig, deleted_recordings: set[str]
) -> None:
"""Ensure that the camera recordings do not exceed the max size."""
# Get all recordings for this camera
recordings: Recordings = (
Recordings.select(
Recordings.id,
Recordings.path,
Recordings.segment_size,
)
.where(
(Recordings.camera == config.name)
& (Recordings.id.not_in(list(deleted_recordings)))
)
.order_by(Recordings.start_time)
.namedtuples()
.iterator()
)
total_size = 0
recordings_list = []
for recording in recordings:
recordings_list.append(recording)
total_size += recording.segment_size
# If the total size is less than the max size, we are good
if total_size <= config.record.max_size:
return
# Delete recordings until we are under the max size
recordings_to_delete = []
for recording in recordings_list:
total_size -= recording.segment_size
recordings_to_delete.append(recording.id)
Path(recording.path).unlink(missing_ok=True)
if total_size <= config.record.max_size:
break
# Delete from database
max_deletes = 100000
for i in range(0, len(recordings_to_delete), max_deletes):
Recordings.delete().where(
Recordings.id << recordings_to_delete[i : i + max_deletes]
).execute()
def expire_recordings(self) -> None:
"""Delete recordings based on retention config."""
logger.debug("Start expire recordings.")

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@ -429,6 +429,29 @@ class TestConfig(unittest.TestCase):
frigate_config = FrigateConfig(**config)
assert "-rtsp_transport" in frigate_config.cameras["back"].ffmpeg_cmds[0]["cmd"]
def test_record_max_size_validation(self):
config = {
"mqtt": {"host": "mqtt"},
"record": {"max_size": "10GB"},
"cameras": {
"back": {
"ffmpeg": {
"inputs": [
{"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
]
},
"detect": {
"height": 1080,
"width": 1920,
"fps": 5,
},
}
},
}
frigate_config = FrigateConfig(**config)
assert frigate_config.record.max_size == 10000
def test_ffmpeg_params_global(self):
config = {
"ffmpeg": {"input_args": "-re"},

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@ -31,3 +31,15 @@ class TestRecordRetention(unittest.TestCase):
)
assert not segment_info.should_discard_segment(RetainModeEnum.motion)
assert segment_info.should_discard_segment(RetainModeEnum.active_objects)
def test_size_utility(self):
from frigate.util.size import parse_size_to_mb
assert parse_size_to_mb("10GB") == 10240
assert parse_size_to_mb("10MB") == 10
assert parse_size_to_mb("1024KB") == 1
assert parse_size_to_mb("1048576B") == 1
assert parse_size_to_mb("10") == 10
with self.assertRaises(ValueError):
parse_size_to_mb("invalid")

21
frigate/util/size.py Normal file
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@ -0,0 +1,21 @@
"""Utility for parsing size strings."""
def parse_size_to_mb(size_str: str) -> float:
"""Parse a size string to megabytes."""
size_str = size_str.strip().upper()
if size_str.endswith("TB"):
return float(size_str[:-2]) * 1024 * 1024
elif size_str.endswith("GB"):
return float(size_str[:-2]) * 1024
elif size_str.endswith("MB"):
return float(size_str[:-2])
elif size_str.endswith("KB"):
return float(size_str[:-2]) / 1024
elif size_str.endswith("B"):
return float(size_str[:-1]) / (1024 * 1024)
else:
try:
return float(size_str)
except ValueError:
raise ValueError(f"Invalid size string: {size_str}")