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|---|---|---|---|
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ed12058ffe |
@ -136,32 +136,90 @@ ffmpeg:
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</TabItem>
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</ConfigTabs>
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### Configuring Intel GPU Stats
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### Configuring Intel GPU Stats in Docker
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Frigate reads Intel GPU utilization directly from the kernel's per-client DRM usage counters exposed at `/proc/<pid>/fdinfo/<fd>`. This requires:
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Additional configuration is needed for the Docker container to be able to access the `intel_gpu_top` command for GPU stats. There are two options:
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- Linux kernel **5.19 or newer** for the `i915` driver, or any release of the `xe` driver.
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- Frigate running with permission to read other processes' fdinfo. Running as root inside the container (the default) satisfies this; non-root setups may need `CAP_SYS_PTRACE`.
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1. Run the container as privileged.
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2. Add the `CAP_PERFMON` capability (note: you might need to set the `perf_event_paranoid` low enough to allow access to the performance event system.)
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No `intel_gpu_top` binary, `CAP_PERFMON`, privileged mode, or `perf_event_paranoid` tuning is required.
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#### Run as privileged
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#### Stats for SR-IOV or specific devices
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This method works, but it gives more permissions to the container than are actually needed.
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If the host has more than one Intel GPU (e.g. an iGPU plus a discrete GPU, or SR-IOV virtual functions), pin stats collection to a specific device by setting `intel_gpu_device` to either its PCI bus address or a DRM card/render-node path:
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##### Docker Compose - Privileged
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```yaml
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services:
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frigate:
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...
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image: ghcr.io/blakeblackshear/frigate:stable
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# highlight-next-line
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privileged: true
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```
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##### Docker Run CLI - Privileged
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```bash {4}
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docker run -d \
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--name frigate \
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...
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--privileged \
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ghcr.io/blakeblackshear/frigate:stable
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```
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#### CAP_PERFMON
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Only recent versions of Docker support the `CAP_PERFMON` capability. You can test to see if yours supports it by running: `docker run --cap-add=CAP_PERFMON hello-world`
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##### Docker Compose - CAP_PERFMON
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```yaml {5,6}
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services:
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frigate:
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...
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image: ghcr.io/blakeblackshear/frigate:stable
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cap_add:
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- CAP_PERFMON
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```
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##### Docker Run CLI - CAP_PERFMON
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```bash {4}
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docker run -d \
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--name frigate \
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...
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--cap-add=CAP_PERFMON \
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ghcr.io/blakeblackshear/frigate:stable
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```
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#### perf_event_paranoid
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_Note: This setting must be changed for the entire system._
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For more information on the various values across different distributions, see https://askubuntu.com/questions/1400874/what-does-perf-paranoia-level-four-do.
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Depending on your OS and kernel configuration, you may need to change the `/proc/sys/kernel/perf_event_paranoid` kernel tunable. You can test the change by running `sudo sh -c 'echo 2 >/proc/sys/kernel/perf_event_paranoid'` which will persist until a reboot. Make it permanent by running `sudo sh -c 'echo kernel.perf_event_paranoid=2 >> /etc/sysctl.d/local.conf'`
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#### Stats for SR-IOV or other devices
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When using virtualized GPUs via SR-IOV, you need to specify the device path to use to gather stats from `intel_gpu_top`. This example may work for some systems using SR-IOV:
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```yaml
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telemetry:
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stats:
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intel_gpu_device: "0000:00:02.0"
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intel_gpu_device: "sriov"
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```
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For other virtualized GPUs, try specifying the direct path to the device instead:
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```yaml
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telemetry:
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stats:
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intel_gpu_device: "/dev/dri/card1"
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intel_gpu_device: "drm:/dev/dri/card0"
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```
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When passing a device path, make sure the device is also passed through to the container.
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If you are passing in a device path, make sure you've passed the device through to the container.
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## AMD-based CPUs
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@ -25,8 +25,8 @@ class StatsConfig(FrigateBaseModel):
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)
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intel_gpu_device: Optional[str] = Field(
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default=None,
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title="Intel GPU device",
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description="PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present.",
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title="SR-IOV device",
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description="Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats.",
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)
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@ -7,6 +7,8 @@ from frigate.util.services import get_amd_gpu_stats, get_intel_gpu_stats
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class TestGpuStats(unittest.TestCase):
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def setUp(self):
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self.amd_results = "Unknown Radeon card. <= R500 won't work, new cards might.\nDumping to -, line limit 1.\n1664070990.607556: bus 10, gpu 4.17%, ee 0.00%, vgt 0.00%, ta 0.00%, tc 0.00%, sx 0.00%, sh 0.00%, spi 0.83%, smx 0.00%, cr 0.00%, sc 0.00%, pa 0.00%, db 0.00%, cb 0.00%, vram 60.37% 294.04mb, gtt 0.33% 52.21mb, mclk 100.00% 1.800ghz, sclk 26.65% 0.533ghz\n"
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self.intel_results = """{"period":{"duration":1.194033,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":3349.991164,"unit":"irq/s"},"rc6":{"value":47.844741,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":4.533124,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":6.194385,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}},{"period":{"duration":1.189291,"unit":"ms"},"frequency":{"requested":0.000000,"actual":0.000000,"unit":"MHz"},"interrupts":{"count":0.000000,"unit":"irq/s"},"rc6":{"value":100.000000,"unit":"%"},"engines":{"Render/3D/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Blitter/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"Video/1":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"},"VideoEnhance/0":{"busy":0.000000,"sema":0.000000,"wait":0.000000,"unit":"%"}}}"""
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self.nvidia_results = "name, utilization.gpu [%], memory.used [MiB], memory.total [MiB]\nNVIDIA GeForce RTX 3050, 42 %, 5036 MiB, 8192 MiB\n"
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@patch("subprocess.run")
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def test_amd_gpu_stats(self, sp):
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@ -17,76 +19,32 @@ class TestGpuStats(unittest.TestCase):
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amd_stats = get_amd_gpu_stats()
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assert amd_stats == {"gpu": "4.17%", "mem": "60.37%"}
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@patch("frigate.util.services.time.sleep")
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@patch("frigate.util.services.time.monotonic")
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@patch("frigate.util.services._read_intel_drm_fdinfo")
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def test_intel_gpu_stats_fdinfo(self, read_fdinfo, monotonic, sleep):
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# 1 second of wall clock between snapshots
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monotonic.side_effect = [0.0, 1.0]
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# @patch("subprocess.run")
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# def test_nvidia_gpu_stats(self, sp):
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# process = MagicMock()
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# process.returncode = 0
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# process.stdout = self.nvidia_results
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# sp.return_value = process
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# nvidia_stats = get_nvidia_gpu_stats()
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# assert nvidia_stats == {
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# "name": "NVIDIA GeForce RTX 3050",
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# "gpu": "42 %",
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# "mem": "61.5 %",
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# }
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# Two i915 clients on the same iGPU. Engine values are cumulative ns.
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# Deltas over the 1s window:
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# client A (pid 100): render +200_000_000 (20%), video +500_000_000 (50%),
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# video-enhance +100_000_000 (10%)
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# client B (pid 200): compute +100_000_000 (10%)
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# Engine totals → render 20, video 50, video-enhance 10, compute 10
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# → compute = render + compute = 30
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# → dec = video + video-enhance = 60
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# → gpu = compute + dec = 90
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snapshot_a = {
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("0000:00:02.0", "1", "100"): {
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"driver": "i915",
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"pid": "100",
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"engines": {
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"render": (1_000_000_000, 0),
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"video": (5_000_000_000, 0),
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"video-enhance": (200_000_000, 0),
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"compute": (0, 0),
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},
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},
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("0000:00:02.0", "2", "200"): {
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"driver": "i915",
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"pid": "200",
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"engines": {
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"render": (0, 0),
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"compute": (2_000_000_000, 0),
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},
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},
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}
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snapshot_b = {
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("0000:00:02.0", "1", "100"): {
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"driver": "i915",
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"pid": "100",
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"engines": {
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"render": (1_200_000_000, 0),
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"video": (5_500_000_000, 0),
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"video-enhance": (300_000_000, 0),
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"compute": (0, 0),
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||||
},
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||||
},
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("0000:00:02.0", "2", "200"): {
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"driver": "i915",
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"pid": "200",
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"engines": {
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"render": (0, 0),
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"compute": (2_100_000_000, 0),
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},
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},
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}
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read_fdinfo.side_effect = [snapshot_a, snapshot_b]
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intel_stats = get_intel_gpu_stats(None)
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sleep.assert_called_once()
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@patch("subprocess.run")
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def test_intel_gpu_stats(self, sp):
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process = MagicMock()
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process.returncode = 124
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process.stdout = self.intel_results
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sp.return_value = process
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intel_stats = get_intel_gpu_stats(False)
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# rc6 values: 47.844741 and 100.0 → avg 73.92 → gpu = 100 - 73.92 = 26.08%
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# Render/3D/0: 0.0 and 0.0 → enc = 0.0%
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# Video/0: 4.533124 and 0.0 → dec = 2.27%
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assert intel_stats == {
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"gpu": "90.0%",
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"gpu": "26.08%",
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"mem": "-%",
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"compute": "30.0%",
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"dec": "60.0%",
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"clients": {"100": "80.0%", "200": "10.0%"},
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"compute": "0.0%",
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"dec": "2.27%",
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||||
}
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|
||||
@patch("frigate.util.services._read_intel_drm_fdinfo")
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def test_intel_gpu_stats_no_clients(self, read_fdinfo):
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read_fdinfo.return_value = {}
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assert get_intel_gpu_stats(None) is None
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@ -264,214 +264,156 @@ def get_amd_gpu_stats() -> Optional[dict[str, str]]:
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return results
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|
||||
|
||||
_INTEL_FDINFO_SAMPLE_SECONDS = 1.0
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def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, str]]:
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"""Get stats using intel_gpu_top.
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||||
|
||||
# Engines we track. Render/3D and Compute are pooled into "compute"; Video and
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# VideoEnhance into "dec" (VideoEnhance is the post-process engine that handles
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||||
# VAAPI scaling/deinterlace/CSC, e.g. ffmpeg `-vf scale_vaapi=...`). The Copy
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||||
# (DMA blitter) engine is intentionally ignored — it represents transparent
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||||
# memory transfers, not user-visible GPU work.
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||||
# i915 fdinfo keys (cumulative ns) → logical engine name.
|
||||
_I915_ENGINE_KEYS = {
|
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"drm-engine-render": "render",
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"drm-engine-video": "video",
|
||||
"drm-engine-video-enhance": "video-enhance",
|
||||
"drm-engine-compute": "compute",
|
||||
}
|
||||
# Xe fdinfo suffixes (cumulative cycles, paired with drm-total-cycles-*).
|
||||
_XE_ENGINE_KEYS = {
|
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"rcs": "render",
|
||||
"vcs": "video",
|
||||
"vecs": "video-enhance",
|
||||
"ccs": "compute",
|
||||
}
|
||||
|
||||
|
||||
def _resolve_intel_gpu_pdev(device: Optional[str]) -> Optional[str]:
|
||||
"""Map a configured GPU hint (/dev/dri/card1, renderD128, or a PCI bus
|
||||
address) to its drm-pdev string so we can filter fdinfo entries to that
|
||||
device. Returns None when no hint is supplied or it cannot be resolved."""
|
||||
if not device:
|
||||
return None
|
||||
|
||||
if re.match(r"^[0-9a-fA-F]{4}:[0-9a-fA-F]{2}:[0-9a-fA-F]{2}\.[0-9a-fA-F]$", device):
|
||||
return device
|
||||
|
||||
name = os.path.basename(device.rstrip("/"))
|
||||
try:
|
||||
return os.path.basename(os.path.realpath(f"/sys/class/drm/{name}/device"))
|
||||
except OSError:
|
||||
return None
|
||||
|
||||
|
||||
def _read_intel_drm_fdinfo(target_pdev: Optional[str]) -> dict:
|
||||
"""Snapshot DRM fdinfo for every Intel client visible in /proc.
|
||||
|
||||
Returns a dict keyed by (pdev, drm-client-id, pid) so the same context
|
||||
seen via multiple file descriptors on a single process collapses to one
|
||||
entry.
|
||||
Returns overall GPU usage derived from rc6 residency (idle time),
|
||||
plus individual engine breakdowns:
|
||||
- enc: Render/3D engine (compute/shader encoder, used by QSV)
|
||||
- dec: Video engines (fixed-function codec, used by VAAPI)
|
||||
"""
|
||||
snapshot: dict = {}
|
||||
|
||||
def get_stats_manually(output: str) -> dict[str, str]:
|
||||
"""Find global stats via regex when json fails to parse."""
|
||||
reading = "".join(output)
|
||||
results: dict[str, str] = {}
|
||||
|
||||
# rc6 residency for overall GPU usage
|
||||
rc6_match = re.search(r'"rc6":\{"value":([\d.]+)', reading)
|
||||
if rc6_match:
|
||||
rc6_value = float(rc6_match.group(1))
|
||||
results["gpu"] = f"{round(100.0 - rc6_value, 2)}%"
|
||||
else:
|
||||
results["gpu"] = "-%"
|
||||
|
||||
results["mem"] = "-%"
|
||||
|
||||
# Render/3D is the compute/encode engine
|
||||
render = []
|
||||
for result in re.findall(r'"Render/3D/0":{[a-z":\d.,%]+}', reading):
|
||||
packet = json.loads(result[14:])
|
||||
single = packet.get("busy", 0.0)
|
||||
render.append(float(single))
|
||||
|
||||
if render:
|
||||
results["compute"] = f"{round(sum(render) / len(render), 2)}%"
|
||||
|
||||
# Video engines are the fixed-function decode engines
|
||||
video = []
|
||||
for result in re.findall(r'"Video/\d":{[a-z":\d.,%]+}', reading):
|
||||
packet = json.loads(result[10:])
|
||||
single = packet.get("busy", 0.0)
|
||||
video.append(float(single))
|
||||
|
||||
if video:
|
||||
results["dec"] = f"{round(sum(video) / len(video), 2)}%"
|
||||
|
||||
return results
|
||||
|
||||
intel_gpu_top_command = [
|
||||
"timeout",
|
||||
"0.5s",
|
||||
"intel_gpu_top",
|
||||
"-J",
|
||||
"-o",
|
||||
"-",
|
||||
"-s",
|
||||
"1000", # Intel changed this from seconds to milliseconds in 2024+ versions
|
||||
]
|
||||
|
||||
if intel_gpu_device:
|
||||
intel_gpu_top_command += ["-d", intel_gpu_device]
|
||||
|
||||
try:
|
||||
proc_entries = os.listdir("/proc")
|
||||
except OSError:
|
||||
return snapshot
|
||||
p = sp.run(
|
||||
intel_gpu_top_command,
|
||||
encoding="ascii",
|
||||
capture_output=True,
|
||||
)
|
||||
except UnicodeDecodeError:
|
||||
return None
|
||||
|
||||
for entry in proc_entries:
|
||||
if not entry.isdigit():
|
||||
continue
|
||||
# timeout has a non-zero returncode when timeout is reached
|
||||
if p.returncode != 124:
|
||||
logger.error(f"Unable to poll intel GPU stats: {p.stderr}")
|
||||
return None
|
||||
else:
|
||||
output = "".join(p.stdout.split())
|
||||
|
||||
fdinfo_dir = f"/proc/{entry}/fdinfo"
|
||||
try:
|
||||
fds = os.listdir(fdinfo_dir)
|
||||
except (FileNotFoundError, PermissionError, NotADirectoryError, OSError):
|
||||
continue
|
||||
data = json.loads(f"[{output}]")
|
||||
except json.JSONDecodeError:
|
||||
return get_stats_manually(output)
|
||||
|
||||
for fd in fds:
|
||||
try:
|
||||
with open(f"{fdinfo_dir}/{fd}") as f:
|
||||
content = f.read()
|
||||
except (FileNotFoundError, PermissionError, OSError):
|
||||
continue
|
||||
results: dict[str, str] = {}
|
||||
rc6_values = []
|
||||
render_global = []
|
||||
video_global = []
|
||||
# per-client: {pid: [total_busy_per_sample, ...]}
|
||||
client_usages: dict[str, list[float]] = {}
|
||||
|
||||
if "drm-driver" not in content:
|
||||
continue
|
||||
for block in data:
|
||||
# rc6 residency: percentage of time GPU is idle
|
||||
rc6 = block.get("rc6", {}).get("value")
|
||||
if rc6 is not None:
|
||||
rc6_values.append(float(rc6))
|
||||
|
||||
fields: dict[str, str] = {}
|
||||
for line in content.splitlines():
|
||||
key, sep, value = line.partition(":")
|
||||
if sep:
|
||||
fields[key.strip()] = value.strip()
|
||||
global_engine = block.get("engines")
|
||||
|
||||
driver = fields.get("drm-driver")
|
||||
if driver not in ("i915", "xe"):
|
||||
continue
|
||||
if global_engine:
|
||||
render_frame = global_engine.get("Render/3D/0", {}).get("busy")
|
||||
video_frame = global_engine.get("Video/0", {}).get("busy")
|
||||
|
||||
pdev = fields.get("drm-pdev", "")
|
||||
if target_pdev and pdev != target_pdev:
|
||||
continue
|
||||
if render_frame is not None:
|
||||
render_global.append(float(render_frame))
|
||||
|
||||
client_id = fields.get("drm-client-id")
|
||||
if not client_id:
|
||||
continue
|
||||
if video_frame is not None:
|
||||
video_global.append(float(video_frame))
|
||||
|
||||
key = (pdev, client_id, entry)
|
||||
if key in snapshot:
|
||||
continue
|
||||
clients = block.get("clients", {})
|
||||
|
||||
engines: dict[str, tuple[int, int]] = {}
|
||||
if clients:
|
||||
for client_block in clients.values():
|
||||
pid = client_block["pid"]
|
||||
|
||||
if driver == "i915":
|
||||
for fkey, engine in _I915_ENGINE_KEYS.items():
|
||||
raw = fields.get(fkey)
|
||||
if not raw:
|
||||
continue
|
||||
try:
|
||||
engines[engine] = (int(raw.split()[0]), 0)
|
||||
except (ValueError, IndexError):
|
||||
continue
|
||||
else:
|
||||
for suffix, engine in _XE_ENGINE_KEYS.items():
|
||||
busy_raw = fields.get(f"drm-cycles-{suffix}")
|
||||
total_raw = fields.get(f"drm-total-cycles-{suffix}")
|
||||
if not (busy_raw and total_raw):
|
||||
continue
|
||||
try:
|
||||
engines[engine] = (
|
||||
int(busy_raw.split()[0]),
|
||||
int(total_raw.split()[0]),
|
||||
)
|
||||
except (ValueError, IndexError):
|
||||
continue
|
||||
if pid not in client_usages:
|
||||
client_usages[pid] = []
|
||||
|
||||
if not engines:
|
||||
continue
|
||||
# Sum all engine-class busy values for this client
|
||||
total_busy = 0.0
|
||||
for engine in client_block.get("engine-classes", {}).values():
|
||||
busy = engine.get("busy")
|
||||
if busy is not None:
|
||||
total_busy += float(busy)
|
||||
|
||||
snapshot[key] = {"driver": driver, "pid": entry, "engines": engines}
|
||||
client_usages[pid].append(total_busy)
|
||||
|
||||
return snapshot
|
||||
# Overall GPU usage from rc6 (idle) residency
|
||||
if rc6_values:
|
||||
rc6_avg = sum(rc6_values) / len(rc6_values)
|
||||
results["gpu"] = f"{round(100.0 - rc6_avg, 2)}%"
|
||||
|
||||
results["mem"] = "-%"
|
||||
|
||||
def get_intel_gpu_stats(intel_gpu_device: Optional[str]) -> Optional[dict[str, Any]]:
|
||||
"""Get stats by reading DRM fdinfo files.
|
||||
# Compute: Render/3D engine (compute/shader workloads and QSV encode)
|
||||
if render_global:
|
||||
results["compute"] = f"{round(sum(render_global) / len(render_global), 2)}%"
|
||||
|
||||
Each DRM client FD exposes monotonic per-engine busy counters via
|
||||
/proc/<pid>/fdinfo/<fd> (i915 since kernel 5.19, Xe since first release).
|
||||
We sample twice and divide busy-time deltas by wall-clock to derive
|
||||
utilization. Render/3D and Compute are pooled into "compute"; Video and
|
||||
VideoEnhance into "dec". Overall "gpu" is the sum of those pools (clamped
|
||||
to 100%).
|
||||
"""
|
||||
target_pdev = _resolve_intel_gpu_pdev(intel_gpu_device)
|
||||
# Decoder: Video engine (fixed-function codec)
|
||||
if video_global:
|
||||
results["dec"] = f"{round(sum(video_global) / len(video_global), 2)}%"
|
||||
|
||||
snapshot_a = _read_intel_drm_fdinfo(target_pdev)
|
||||
if not snapshot_a:
|
||||
return None
|
||||
# Per-client GPU usage (sum of all engines per process)
|
||||
if client_usages:
|
||||
results["clients"] = {}
|
||||
|
||||
start = time.monotonic()
|
||||
time.sleep(_INTEL_FDINFO_SAMPLE_SECONDS)
|
||||
elapsed_ns = (time.monotonic() - start) * 1e9
|
||||
for pid, samples in client_usages.items():
|
||||
if samples:
|
||||
results["clients"][pid] = (
|
||||
f"{round(sum(samples) / len(samples), 2)}%"
|
||||
)
|
||||
|
||||
snapshot_b = _read_intel_drm_fdinfo(target_pdev)
|
||||
if not snapshot_b or elapsed_ns <= 0:
|
||||
return None
|
||||
|
||||
engine_pct: dict[str, float] = {
|
||||
"render": 0.0,
|
||||
"video": 0.0,
|
||||
"video-enhance": 0.0,
|
||||
"compute": 0.0,
|
||||
}
|
||||
pid_pct: dict[str, float] = {}
|
||||
|
||||
for key, data_b in snapshot_b.items():
|
||||
data_a = snapshot_a.get(key)
|
||||
if not data_a or data_a["driver"] != data_b["driver"]:
|
||||
continue
|
||||
|
||||
client_total = 0.0
|
||||
for engine, (busy_b, total_b) in data_b["engines"].items():
|
||||
if engine not in engine_pct:
|
||||
continue
|
||||
|
||||
busy_a, total_a = data_a["engines"].get(engine, (busy_b, total_b))
|
||||
|
||||
if data_b["driver"] == "i915":
|
||||
delta = max(0, busy_b - busy_a)
|
||||
pct = min(100.0, delta / elapsed_ns * 100.0)
|
||||
else:
|
||||
delta_busy = max(0, busy_b - busy_a)
|
||||
delta_total = total_b - total_a
|
||||
if delta_total <= 0:
|
||||
continue
|
||||
pct = min(100.0, delta_busy / delta_total * 100.0)
|
||||
|
||||
engine_pct[engine] += pct
|
||||
client_total += pct
|
||||
|
||||
pid_pct[data_b["pid"]] = pid_pct.get(data_b["pid"], 0.0) + client_total
|
||||
|
||||
for engine in engine_pct:
|
||||
engine_pct[engine] = min(100.0, engine_pct[engine])
|
||||
|
||||
compute_pct = min(100.0, engine_pct["render"] + engine_pct["compute"])
|
||||
dec_pct = min(100.0, engine_pct["video"] + engine_pct["video-enhance"])
|
||||
overall_pct = min(100.0, compute_pct + dec_pct)
|
||||
|
||||
results: dict[str, Any] = {
|
||||
"gpu": f"{round(overall_pct, 2)}%",
|
||||
"mem": "-%",
|
||||
"compute": f"{round(compute_pct, 2)}%",
|
||||
"dec": f"{round(dec_pct, 2)}%",
|
||||
}
|
||||
|
||||
if pid_pct:
|
||||
results["clients"] = {
|
||||
pid: f"{round(min(100.0, pct), 2)}%" for pid, pct in pid_pct.items()
|
||||
}
|
||||
|
||||
return results
|
||||
return results
|
||||
|
||||
|
||||
def get_openvino_npu_stats() -> Optional[dict[str, str]]:
|
||||
|
||||
@ -485,10 +485,6 @@
|
||||
"hwaccel_args": {
|
||||
"label": "Export hwaccel args",
|
||||
"description": "Hardware acceleration args to use for export/transcode operations."
|
||||
},
|
||||
"max_concurrent": {
|
||||
"label": "Maximum concurrent exports",
|
||||
"description": "Maximum number of export jobs to process at the same time."
|
||||
}
|
||||
},
|
||||
"preview": {
|
||||
|
||||
@ -242,8 +242,8 @@
|
||||
"description": "Enable per-process network bandwidth monitoring for camera ffmpeg processes and detectors (requires capabilities)."
|
||||
},
|
||||
"intel_gpu_device": {
|
||||
"label": "Intel GPU device",
|
||||
"description": "PCI bus address or DRM device path (e.g. /dev/dri/card1) used to pin Intel GPU stats to a specific device when multiple are present."
|
||||
"label": "SR-IOV device",
|
||||
"description": "Device identifier used when treating Intel GPUs as SR-IOV to fix GPU stats."
|
||||
}
|
||||
},
|
||||
"version_check": {
|
||||
@ -1000,10 +1000,6 @@
|
||||
"hwaccel_args": {
|
||||
"label": "Export hwaccel args",
|
||||
"description": "Hardware acceleration args to use for export/transcode operations."
|
||||
},
|
||||
"max_concurrent": {
|
||||
"label": "Maximum concurrent exports",
|
||||
"description": "Maximum number of export jobs to process at the same time."
|
||||
}
|
||||
},
|
||||
"preview": {
|
||||
|
||||
@ -20,18 +20,7 @@
|
||||
"overriddenGlobal": "Overridden (Global)",
|
||||
"overriddenGlobalTooltip": "This camera overrides global configuration settings in this section",
|
||||
"overriddenBaseConfig": "Overridden (Base Config)",
|
||||
"overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section",
|
||||
"overriddenInCameras": {
|
||||
"label_one": "Overridden in {{count}} camera",
|
||||
"label_other": "Overridden in {{count}} cameras",
|
||||
"tooltip_one": "{{count}} camera overrides values in this section. Click to see details.",
|
||||
"tooltip_other": "{{count}} cameras override values in this section. Click to see details.",
|
||||
"heading_one": "This global section has fields that are overridden in {{count}} camera.",
|
||||
"heading_other": "This global section has fields that are overridden in {{count}} cameras.",
|
||||
"othersField_one": "{{count}} other",
|
||||
"othersField_other": "{{count}} others",
|
||||
"profilePrefix": "{{profile}} profile: {{fields}}"
|
||||
}
|
||||
"overriddenBaseConfigTooltip": "The {{profile}} profile overrides configuration settings in this section"
|
||||
},
|
||||
"menu": {
|
||||
"general": "General",
|
||||
|
||||
@ -25,7 +25,6 @@ import {
|
||||
} from "./section-special-cases";
|
||||
import { getSectionValidation } from "../section-validations";
|
||||
import { useConfigOverride } from "@/hooks/use-config-override";
|
||||
import { CameraOverridesBadge } from "./CameraOverridesBadge";
|
||||
import { useSectionSchema } from "@/hooks/use-config-schema";
|
||||
import type { FrigateConfig } from "@/types/frigateConfig";
|
||||
import { Badge } from "@/components/ui/badge";
|
||||
@ -1264,9 +1263,6 @@ export function ConfigSection({
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
)}
|
||||
{showOverrideIndicator && effectiveLevel === "global" && (
|
||||
<CameraOverridesBadge sectionPath={sectionPath} />
|
||||
)}
|
||||
{hasChanges && (
|
||||
<Badge variant="outline" className="text-xs">
|
||||
{t("button.modified", {
|
||||
@ -1338,9 +1334,6 @@ export function ConfigSection({
|
||||
</TooltipContent>
|
||||
</Tooltip>
|
||||
)}
|
||||
{showOverrideIndicator && effectiveLevel === "global" && (
|
||||
<CameraOverridesBadge sectionPath={sectionPath} />
|
||||
)}
|
||||
{hasChanges && (
|
||||
<Badge
|
||||
variant="secondary"
|
||||
|
||||
@ -1,303 +0,0 @@
|
||||
import useSWR from "swr";
|
||||
import { useMemo } from "react";
|
||||
import { useTranslation } from "react-i18next";
|
||||
import { Link } from "react-router-dom";
|
||||
import { LuChevronDown } from "react-icons/lu";
|
||||
|
||||
import { Badge } from "@/components/ui/badge";
|
||||
import {
|
||||
Popover,
|
||||
PopoverContent,
|
||||
PopoverTrigger,
|
||||
} from "@/components/ui/popover";
|
||||
import {
|
||||
CameraOverrideEntry,
|
||||
FieldDelta,
|
||||
useCamerasOverridingSection,
|
||||
} from "@/hooks/use-config-override";
|
||||
import type { FrigateConfig } from "@/types/frigateConfig";
|
||||
import type { ProfilesApiResponse } from "@/types/profile";
|
||||
import { humanizeKey } from "@/components/config-form/theme/utils/i18n";
|
||||
import { useCameraFriendlyName } from "@/hooks/use-camera-friendly-name";
|
||||
import { formatList } from "@/utils/stringUtil";
|
||||
import { getSectionConfig } from "@/utils/configUtil";
|
||||
|
||||
const CAMERA_PAGE_BY_SECTION: Record<string, string> = {
|
||||
detect: "cameraDetect",
|
||||
ffmpeg: "cameraFfmpeg",
|
||||
record: "cameraRecording",
|
||||
snapshots: "cameraSnapshots",
|
||||
motion: "cameraMotion",
|
||||
objects: "cameraObjects",
|
||||
review: "cameraReview",
|
||||
audio: "cameraAudioEvents",
|
||||
audio_transcription: "cameraAudioTranscription",
|
||||
notifications: "cameraNotifications",
|
||||
live: "cameraLivePlayback",
|
||||
birdseye: "cameraBirdseye",
|
||||
face_recognition: "cameraFaceRecognition",
|
||||
lpr: "cameraLpr",
|
||||
timestamp_style: "cameraTimestampStyle",
|
||||
};
|
||||
|
||||
const MAX_FIELDS_PER_CAMERA = 5;
|
||||
|
||||
/**
|
||||
* Enrichment sections where the cross-camera override badge should be
|
||||
* suppressed because they're effectively global-only (or per-camera
|
||||
* configuration there isn't a useful affordance to surface here).
|
||||
* Face recognition and LPR are intentionally omitted so the badge does show
|
||||
* on those enrichment pages.
|
||||
*/
|
||||
const SECTIONS_WITHOUT_OVERRIDE_BADGE = new Set([
|
||||
"semantic_search",
|
||||
"genai",
|
||||
"classification",
|
||||
"audio_transcription",
|
||||
]);
|
||||
|
||||
/**
|
||||
* Match a delta path against a hidden-field pattern. Supports literal prefixes
|
||||
* (so a hidden field "streams" also hides "streams.foo.bar") and `*` wildcards
|
||||
* matching exactly one path segment (e.g. "filters.*.mask").
|
||||
*/
|
||||
function pathMatchesHiddenPattern(path: string, pattern: string): boolean {
|
||||
if (!pattern) return false;
|
||||
if (!pattern.includes("*")) {
|
||||
return path === pattern || path.startsWith(`${pattern}.`);
|
||||
}
|
||||
const patternSegments = pattern.split(".");
|
||||
const pathSegments = path.split(".");
|
||||
if (pathSegments.length < patternSegments.length) return false;
|
||||
for (let i = 0; i < patternSegments.length; i += 1) {
|
||||
if (patternSegments[i] === "*") continue;
|
||||
if (patternSegments[i] !== pathSegments[i]) return false;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
type CameraEntryProps = {
|
||||
sectionPath: string;
|
||||
entry: CameraOverrideEntry;
|
||||
cameraPage?: string;
|
||||
};
|
||||
|
||||
type SourceGroup = {
|
||||
/** undefined → camera-level; string → profile name */
|
||||
profileName: string | undefined;
|
||||
deltas: FieldDelta[];
|
||||
};
|
||||
|
||||
function groupDeltasBySource(deltas: FieldDelta[]): SourceGroup[] {
|
||||
const cameraDeltas: FieldDelta[] = [];
|
||||
const byProfile = new Map<string, FieldDelta[]>();
|
||||
for (const delta of deltas) {
|
||||
if (delta.profileName) {
|
||||
const arr = byProfile.get(delta.profileName) ?? [];
|
||||
arr.push(delta);
|
||||
byProfile.set(delta.profileName, arr);
|
||||
} else {
|
||||
cameraDeltas.push(delta);
|
||||
}
|
||||
}
|
||||
const groups: SourceGroup[] = [];
|
||||
if (cameraDeltas.length > 0) {
|
||||
groups.push({ profileName: undefined, deltas: cameraDeltas });
|
||||
}
|
||||
for (const [profileName, group] of byProfile) {
|
||||
groups.push({ profileName, deltas: group });
|
||||
}
|
||||
return groups;
|
||||
}
|
||||
|
||||
function CameraEntry({ sectionPath, entry, cameraPage }: CameraEntryProps) {
|
||||
const { t, i18n } = useTranslation([
|
||||
"config/global",
|
||||
"views/settings",
|
||||
"objects",
|
||||
]);
|
||||
const friendlyName = useCameraFriendlyName(entry.camera);
|
||||
const { data: profilesData } = useSWR<ProfilesApiResponse>("profiles");
|
||||
|
||||
const profileFriendlyNames = useMemo(() => {
|
||||
const map = new Map<string, string>();
|
||||
profilesData?.profiles?.forEach((p) => map.set(p.name, p.friendly_name));
|
||||
return map;
|
||||
}, [profilesData]);
|
||||
|
||||
const fieldLabel = (fieldPath: string) => {
|
||||
if (!fieldPath) {
|
||||
const sectionKey = `${sectionPath}.label`;
|
||||
return i18n.exists(sectionKey, { ns: "config/global" })
|
||||
? t(sectionKey, { ns: "config/global" })
|
||||
: humanizeKey(sectionPath);
|
||||
}
|
||||
|
||||
const segments = fieldPath.split(".");
|
||||
|
||||
// Most specific: try the full nested path
|
||||
const fullKey = `${sectionPath}.${fieldPath}.label`;
|
||||
if (i18n.exists(fullKey, { ns: "config/global" })) {
|
||||
return t(fullKey, { ns: "config/global" });
|
||||
}
|
||||
|
||||
// Try dropping each intermediate segment in turn — those are typically
|
||||
// user-defined dict keys (object class names, zone names, etc.) that
|
||||
// don't have their own label entries. Prepend the dropped segment as
|
||||
// context to disambiguate (e.g. "Person · Minimum object area").
|
||||
for (let i = 0; i < segments.length; i++) {
|
||||
const reduced = [...segments.slice(0, i), ...segments.slice(i + 1)].join(
|
||||
".",
|
||||
);
|
||||
if (!reduced) continue;
|
||||
const reducedKey = `${sectionPath}.${reduced}.label`;
|
||||
if (i18n.exists(reducedKey, { ns: "config/global" })) {
|
||||
const resolvedLabel = t(reducedKey, { ns: "config/global" });
|
||||
const dropped = segments[i];
|
||||
// Object class names ("person", "car", "fox") have translations in
|
||||
// the `objects` namespace; fall back to humanizing the raw key for
|
||||
// anything that isn't a known label.
|
||||
const droppedLabel = i18n.exists(dropped, { ns: "objects" })
|
||||
? t(dropped, { ns: "objects" })
|
||||
: humanizeKey(dropped);
|
||||
return `${droppedLabel} · ${resolvedLabel}`;
|
||||
}
|
||||
}
|
||||
|
||||
// Last resort: humanize the leaf segment
|
||||
return humanizeKey(segments[segments.length - 1]);
|
||||
};
|
||||
|
||||
const formatDeltas = (deltas: FieldDelta[]) => {
|
||||
const visibleLabels = deltas
|
||||
.slice(0, MAX_FIELDS_PER_CAMERA)
|
||||
.map((delta) => fieldLabel(delta.fieldPath));
|
||||
const hiddenCount = deltas.length - visibleLabels.length;
|
||||
const labelsForList =
|
||||
hiddenCount > 0
|
||||
? [
|
||||
...visibleLabels,
|
||||
t("button.overriddenInCameras.othersField", {
|
||||
ns: "views/settings",
|
||||
count: hiddenCount,
|
||||
}),
|
||||
]
|
||||
: visibleLabels;
|
||||
return formatList(labelsForList);
|
||||
};
|
||||
|
||||
const groups = groupDeltasBySource(entry.fieldDeltas);
|
||||
|
||||
return (
|
||||
<div className="flex flex-col gap-0.5 text-xs">
|
||||
{cameraPage ? (
|
||||
<Link
|
||||
to={`/settings?page=${cameraPage}&camera=${encodeURIComponent(entry.camera)}`}
|
||||
className="font-medium hover:underline"
|
||||
>
|
||||
{friendlyName}
|
||||
</Link>
|
||||
) : (
|
||||
<span className="font-medium">{friendlyName}</span>
|
||||
)}
|
||||
{groups.map((group) => (
|
||||
<span
|
||||
key={group.profileName ?? "__camera__"}
|
||||
className="ml-2 text-muted-foreground"
|
||||
>
|
||||
{group.profileName
|
||||
? t("button.overriddenInCameras.profilePrefix", {
|
||||
ns: "views/settings",
|
||||
profile:
|
||||
profileFriendlyNames.get(group.profileName) ??
|
||||
group.profileName,
|
||||
fields: formatDeltas(group.deltas),
|
||||
})
|
||||
: formatDeltas(group.deltas)}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
type Props = {
|
||||
sectionPath: string;
|
||||
className?: string;
|
||||
};
|
||||
|
||||
export function CameraOverridesBadge({ sectionPath, className }: Props) {
|
||||
const { data: config } = useSWR<FrigateConfig>("config");
|
||||
const { t } = useTranslation(["views/settings"]);
|
||||
const rawEntries = useCamerasOverridingSection(config, sectionPath);
|
||||
|
||||
const entries = useMemo(() => {
|
||||
const hiddenFields =
|
||||
getSectionConfig(sectionPath, "global").hiddenFields ?? [];
|
||||
if (hiddenFields.length === 0) return rawEntries;
|
||||
return rawEntries
|
||||
.map((entry) => ({
|
||||
...entry,
|
||||
fieldDeltas: entry.fieldDeltas.filter(
|
||||
(delta) =>
|
||||
!hiddenFields.some((pattern) =>
|
||||
pathMatchesHiddenPattern(delta.fieldPath, pattern),
|
||||
),
|
||||
),
|
||||
}))
|
||||
.filter((entry) => entry.fieldDeltas.length > 0);
|
||||
}, [rawEntries, sectionPath]);
|
||||
|
||||
if (SECTIONS_WITHOUT_OVERRIDE_BADGE.has(sectionPath)) {
|
||||
return null;
|
||||
}
|
||||
|
||||
if (entries.length === 0) {
|
||||
return null;
|
||||
}
|
||||
|
||||
const cameraPage = CAMERA_PAGE_BY_SECTION[sectionPath];
|
||||
const count = entries.length;
|
||||
|
||||
return (
|
||||
<Popover>
|
||||
<PopoverTrigger asChild>
|
||||
<Badge
|
||||
variant="secondary"
|
||||
className={`cursor-pointer border-2 border-selected text-xs text-primary-variant ${className ?? ""}`}
|
||||
aria-label={t("button.overriddenInCameras.tooltip", {
|
||||
ns: "views/settings",
|
||||
count: count,
|
||||
})}
|
||||
>
|
||||
<span>
|
||||
{t("button.overriddenInCameras.label", {
|
||||
ns: "views/settings",
|
||||
count: count,
|
||||
})}
|
||||
</span>
|
||||
<LuChevronDown className="ml-1 size-3" />
|
||||
</Badge>
|
||||
</PopoverTrigger>
|
||||
<PopoverContent align="start" className="w-80 max-w-[90vw] pr-0">
|
||||
<div className="flex flex-col gap-3">
|
||||
<div className="pr-4 text-xs text-primary-variant">
|
||||
{t("button.overriddenInCameras.heading", {
|
||||
ns: "views/settings",
|
||||
count: count,
|
||||
})}
|
||||
</div>
|
||||
<div className="scrollbar-container flex max-h-[40dvh] flex-col gap-2 overflow-y-auto pr-4">
|
||||
{entries.map((entry) => (
|
||||
<CameraEntry
|
||||
key={entry.camera}
|
||||
sectionPath={sectionPath}
|
||||
entry={entry}
|
||||
cameraPage={cameraPage}
|
||||
/>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
</PopoverContent>
|
||||
</Popover>
|
||||
);
|
||||
}
|
||||
@ -202,49 +202,6 @@ export function useConfigOverride({
|
||||
}, [config, cameraName, sectionPath, compareFields]);
|
||||
}
|
||||
|
||||
/**
|
||||
* Sections that can be overridden per-camera, with optional compareFields
|
||||
* filters that scope the override comparison to a subset of fields.
|
||||
*/
|
||||
export const OVERRIDABLE_SECTIONS: ReadonlyArray<{
|
||||
key: string;
|
||||
compareFields?: string[];
|
||||
}> = [
|
||||
{ key: "detect" },
|
||||
{ key: "record" },
|
||||
{ key: "snapshots" },
|
||||
{ key: "motion" },
|
||||
{ key: "objects" },
|
||||
{ key: "review" },
|
||||
{ key: "audio" },
|
||||
{ key: "notifications" },
|
||||
{ key: "live" },
|
||||
{ key: "timestamp_style" },
|
||||
{
|
||||
key: "audio_transcription",
|
||||
compareFields: ["enabled", "live_enabled"],
|
||||
},
|
||||
{ key: "birdseye", compareFields: ["enabled", "mode"] },
|
||||
{ key: "face_recognition", compareFields: ["enabled", "min_area"] },
|
||||
{
|
||||
key: "ffmpeg",
|
||||
compareFields: [
|
||||
"path",
|
||||
"global_args",
|
||||
"hwaccel_args",
|
||||
"input_args",
|
||||
"output_args",
|
||||
"retry_interval",
|
||||
"apple_compatibility",
|
||||
"gpu",
|
||||
],
|
||||
},
|
||||
{
|
||||
key: "lpr",
|
||||
compareFields: ["enabled", "min_area", "enhancement"],
|
||||
},
|
||||
];
|
||||
|
||||
/**
|
||||
* Hook to get all overridden fields for a camera
|
||||
*/
|
||||
@ -264,7 +221,47 @@ export function useAllCameraOverrides(
|
||||
|
||||
const overriddenSections: string[] = [];
|
||||
|
||||
for (const { key, compareFields } of OVERRIDABLE_SECTIONS) {
|
||||
// Check each section that can be overridden
|
||||
const sectionsToCheck: Array<{
|
||||
key: string;
|
||||
compareFields?: string[];
|
||||
}> = [
|
||||
{ key: "detect" },
|
||||
{ key: "record" },
|
||||
{ key: "snapshots" },
|
||||
{ key: "motion" },
|
||||
{ key: "objects" },
|
||||
{ key: "review" },
|
||||
{ key: "audio" },
|
||||
{ key: "notifications" },
|
||||
{ key: "live" },
|
||||
{ key: "timestamp_style" },
|
||||
{
|
||||
key: "audio_transcription",
|
||||
compareFields: ["enabled", "live_enabled"],
|
||||
},
|
||||
{ key: "birdseye", compareFields: ["enabled", "mode"] },
|
||||
{ key: "face_recognition", compareFields: ["enabled", "min_area"] },
|
||||
{
|
||||
key: "ffmpeg",
|
||||
compareFields: [
|
||||
"path",
|
||||
"global_args",
|
||||
"hwaccel_args",
|
||||
"input_args",
|
||||
"output_args",
|
||||
"retry_interval",
|
||||
"apple_compatibility",
|
||||
"gpu",
|
||||
],
|
||||
},
|
||||
{
|
||||
key: "lpr",
|
||||
compareFields: ["enabled", "min_area", "enhancement"],
|
||||
},
|
||||
];
|
||||
|
||||
for (const { key, compareFields } of sectionsToCheck) {
|
||||
const globalValue = normalizeConfigValue(get(config, key));
|
||||
const cameraValue = normalizeConfigValue(
|
||||
getBaseCameraSectionValue(config, cameraName, key),
|
||||
@ -289,252 +286,3 @@ export function useAllCameraOverrides(
|
||||
return overriddenSections;
|
||||
}, [config, cameraName]);
|
||||
}
|
||||
|
||||
export interface FieldDelta {
|
||||
/** Path relative to the section (e.g. "genai.enabled") */
|
||||
fieldPath: string;
|
||||
globalValue: unknown;
|
||||
cameraValue: unknown;
|
||||
/** Profile name when the override originates from a profile; undefined for camera-level overrides */
|
||||
profileName?: string;
|
||||
}
|
||||
|
||||
export interface CameraOverrideEntry {
|
||||
camera: string;
|
||||
fieldDeltas: FieldDelta[];
|
||||
}
|
||||
|
||||
/**
|
||||
* Collect leaf-level field differences between a global section value
|
||||
* and a camera section value. When compareFields is provided, only those
|
||||
* paths are compared; otherwise the objects are walked recursively.
|
||||
*/
|
||||
function collectFieldDeltas(
|
||||
globalValue: JsonValue,
|
||||
cameraValue: JsonValue,
|
||||
compareFields?: string[],
|
||||
pathPrefix = "",
|
||||
): FieldDelta[] {
|
||||
if (compareFields) {
|
||||
if (compareFields.length === 0) {
|
||||
return [];
|
||||
}
|
||||
const deltas: FieldDelta[] = [];
|
||||
for (const path of compareFields) {
|
||||
const g = get(globalValue, path);
|
||||
const c = get(cameraValue, path);
|
||||
if (!isEqual(g, c)) {
|
||||
deltas.push({ fieldPath: path, globalValue: g, cameraValue: c });
|
||||
}
|
||||
}
|
||||
return deltas;
|
||||
}
|
||||
|
||||
if (isJsonObject(globalValue) && isJsonObject(cameraValue)) {
|
||||
const deltas: FieldDelta[] = [];
|
||||
const keys = new Set([
|
||||
...Object.keys(globalValue),
|
||||
...Object.keys(cameraValue),
|
||||
]);
|
||||
for (const key of keys) {
|
||||
const g = (globalValue as JsonObject)[key];
|
||||
const c = (cameraValue as JsonObject)[key];
|
||||
if (isEqual(g, c)) continue;
|
||||
const childPath = pathPrefix ? `${pathPrefix}.${key}` : key;
|
||||
if (isJsonObject(g) && isJsonObject(c)) {
|
||||
deltas.push(...collectFieldDeltas(g, c, undefined, childPath));
|
||||
} else {
|
||||
deltas.push({ fieldPath: childPath, globalValue: g, cameraValue: c });
|
||||
}
|
||||
}
|
||||
return deltas;
|
||||
}
|
||||
|
||||
if (!isEqual(globalValue, cameraValue)) {
|
||||
return [{ fieldPath: pathPrefix, globalValue, cameraValue }];
|
||||
}
|
||||
return [];
|
||||
}
|
||||
|
||||
/**
|
||||
* Walk a partial config object and return the dot-paths of every leaf value
|
||||
* (primitive or array) actually defined on it. Used to limit profile-vs-global
|
||||
* diffs to keys the profile actually sets, avoiding false "undefined" deltas
|
||||
* for fields the profile leaves unspecified.
|
||||
*/
|
||||
function collectDefinedLeafPaths(value: JsonValue, prefix = ""): string[] {
|
||||
if (!isJsonObject(value)) {
|
||||
return prefix ? [prefix] : [];
|
||||
}
|
||||
const paths: string[] = [];
|
||||
for (const [key, val] of Object.entries(value as JsonObject)) {
|
||||
const childPath = prefix ? `${prefix}.${key}` : key;
|
||||
if (isJsonObject(val)) {
|
||||
paths.push(...collectDefinedLeafPaths(val as JsonValue, childPath));
|
||||
} else {
|
||||
paths.push(childPath);
|
||||
}
|
||||
}
|
||||
return paths;
|
||||
}
|
||||
|
||||
function isPathAllowed(path: string, compareFields?: string[]): boolean {
|
||||
if (!compareFields) return true;
|
||||
return compareFields.some(
|
||||
(allowed) => path === allowed || path.startsWith(`${allowed}.`),
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Some Frigate sections (notably `motion`) are dumped by the backend with
|
||||
* `exclude_unset=True`, so when the user hasn't explicitly written the section
|
||||
* in their global YAML the API returns null even though every camera still
|
||||
* gets defaults applied at runtime. To still detect cross-camera differences
|
||||
* in those sections we synthesize a baseline by taking the modal (most common)
|
||||
* value at each leaf path across cameras — cameras whose value diverges from
|
||||
* the modal are treated as overriding.
|
||||
*/
|
||||
function deriveSyntheticGlobalValue(
|
||||
cameraSectionValues: JsonValue[],
|
||||
compareFields?: string[],
|
||||
): JsonObject {
|
||||
const cameras = cameraSectionValues.filter(isJsonObject) as JsonObject[];
|
||||
if (cameras.length === 0) return {};
|
||||
|
||||
const allPaths = new Set<string>();
|
||||
for (const cam of cameras) {
|
||||
for (const path of collectDefinedLeafPaths(cam as JsonValue)) {
|
||||
if (!isPathAllowed(path, compareFields)) continue;
|
||||
allPaths.add(path);
|
||||
}
|
||||
}
|
||||
|
||||
const baseline: JsonObject = {};
|
||||
for (const path of allPaths) {
|
||||
const counts = new Map<string, { value: unknown; count: number }>();
|
||||
for (const cam of cameras) {
|
||||
const v = get(cam, path);
|
||||
const key = JSON.stringify(v ?? null);
|
||||
const existing = counts.get(key);
|
||||
if (existing) {
|
||||
existing.count += 1;
|
||||
} else {
|
||||
counts.set(key, { value: v, count: 1 });
|
||||
}
|
||||
}
|
||||
let modal: { value: unknown; count: number } | undefined;
|
||||
for (const entry of counts.values()) {
|
||||
if (!modal || entry.count > modal.count) modal = entry;
|
||||
}
|
||||
if (modal) {
|
||||
set(baseline, path, modal.value);
|
||||
}
|
||||
}
|
||||
return baseline;
|
||||
}
|
||||
|
||||
/**
|
||||
* Paths that are intentionally hidden from the cross-camera override summary
|
||||
* because they're inherently per-camera (mask polygons, zone definitions) and
|
||||
* would otherwise dominate the popover with noise. Excludes any path where
|
||||
* `mask` appears as a path segment, so nested keys under a mask dict (e.g.
|
||||
* `mask.global_object_mask_1.coordinates`) are also filtered.
|
||||
*/
|
||||
function isCrossCameraIgnoredPath(path: string): boolean {
|
||||
if (!path) return false;
|
||||
return path.split(".").includes("mask");
|
||||
}
|
||||
|
||||
/**
|
||||
* Hook to find every camera that overrides a given global section. Returns
|
||||
* one entry per overriding camera with the specific field-level deltas.
|
||||
* Considers both the camera's own (pre-profile) section value and any of its
|
||||
* defined profiles, so a field overridden only inside a profile still surfaces.
|
||||
*
|
||||
* @example
|
||||
* ```tsx
|
||||
* const entries = useCamerasOverridingSection(config, "review");
|
||||
* // [{ camera: "front_door", fieldDeltas: [{ fieldPath: "genai.enabled", ... }] }]
|
||||
* ```
|
||||
*/
|
||||
export function useCamerasOverridingSection(
|
||||
config: FrigateConfig | undefined,
|
||||
sectionPath: string,
|
||||
): CameraOverrideEntry[] {
|
||||
return useMemo(() => {
|
||||
if (!config?.cameras || !sectionPath) {
|
||||
return [];
|
||||
}
|
||||
|
||||
const sectionMeta = OVERRIDABLE_SECTIONS.find((s) => s.key === sectionPath);
|
||||
const compareFields = sectionMeta?.compareFields;
|
||||
|
||||
const cameraNames = Object.keys(config.cameras);
|
||||
const cameraSectionValues = cameraNames.map((name) =>
|
||||
normalizeConfigValue(
|
||||
getBaseCameraSectionValue(config, name, sectionPath),
|
||||
),
|
||||
);
|
||||
|
||||
const rawGlobalValue = get(config, sectionPath);
|
||||
const globalValue: JsonValue =
|
||||
rawGlobalValue == null
|
||||
? deriveSyntheticGlobalValue(cameraSectionValues, compareFields)
|
||||
: normalizeConfigValue(rawGlobalValue);
|
||||
|
||||
const entries: CameraOverrideEntry[] = [];
|
||||
for (let idx = 0; idx < cameraNames.length; idx += 1) {
|
||||
const cameraName = cameraNames[idx];
|
||||
const cameraConfig = config.cameras[cameraName];
|
||||
const deltasByPath = new Map<string, FieldDelta>();
|
||||
|
||||
// 1. Camera-level overrides (uses base_config when a profile is active)
|
||||
const cameraValue = cameraSectionValues[idx];
|
||||
for (const delta of collectFieldDeltas(
|
||||
globalValue,
|
||||
cameraValue,
|
||||
compareFields,
|
||||
)) {
|
||||
if (isCrossCameraIgnoredPath(delta.fieldPath)) continue;
|
||||
deltasByPath.set(delta.fieldPath, delta);
|
||||
}
|
||||
|
||||
// 2. Profile-level overrides — diff only the paths each profile actually
|
||||
// defines, so unspecified-in-profile fields don't register as deltas.
|
||||
const profiles = cameraConfig?.profiles ?? {};
|
||||
for (const profileName of Object.keys(profiles)) {
|
||||
const profileSection = (
|
||||
profiles[profileName] as Record<string, unknown> | undefined
|
||||
)?.[sectionPath];
|
||||
if (profileSection === undefined) continue;
|
||||
const normalizedProfile = normalizeConfigValue(
|
||||
profileSection as JsonValue,
|
||||
);
|
||||
for (const path of collectDefinedLeafPaths(normalizedProfile)) {
|
||||
if (deltasByPath.has(path)) continue;
|
||||
if (isCrossCameraIgnoredPath(path)) continue;
|
||||
if (!isPathAllowed(path, compareFields)) continue;
|
||||
const g = get(globalValue, path);
|
||||
const p = get(normalizedProfile, path);
|
||||
if (!isEqual(g, p)) {
|
||||
deltasByPath.set(path, {
|
||||
fieldPath: path,
|
||||
globalValue: g,
|
||||
cameraValue: p,
|
||||
profileName,
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (deltasByPath.size > 0) {
|
||||
entries.push({
|
||||
camera: cameraName,
|
||||
fieldDeltas: Array.from(deltasByPath.values()),
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
return entries;
|
||||
}, [config, sectionPath]);
|
||||
}
|
||||
|
||||
@ -2,7 +2,6 @@ import { useCallback, useMemo, useState } from "react";
|
||||
import { useTranslation } from "react-i18next";
|
||||
import type { SectionConfig } from "@/components/config-form/sections";
|
||||
import { ConfigSectionTemplate } from "@/components/config-form/sections";
|
||||
import { CameraOverridesBadge } from "@/components/config-form/sections/CameraOverridesBadge";
|
||||
import type { PolygonType } from "@/types/canvas";
|
||||
import { Badge } from "@/components/ui/badge";
|
||||
import {
|
||||
@ -168,9 +167,6 @@ export function SingleSectionPage({
|
||||
</div>
|
||||
{/* Desktop: badge inline next to title */}
|
||||
<div className="hidden shrink-0 sm:flex sm:flex-wrap sm:items-center sm:gap-2">
|
||||
{level === "global" && showOverrideIndicator && (
|
||||
<CameraOverridesBadge sectionPath={sectionKey} />
|
||||
)}
|
||||
{level === "camera" &&
|
||||
showOverrideIndicator &&
|
||||
sectionStatus.isOverridden && (
|
||||
@ -228,9 +224,6 @@ export function SingleSectionPage({
|
||||
</div>
|
||||
{/* Mobile: badge below title/description */}
|
||||
<div className="flex flex-wrap items-center gap-2 sm:hidden">
|
||||
{level === "global" && showOverrideIndicator && (
|
||||
<CameraOverridesBadge sectionPath={sectionKey} />
|
||||
)}
|
||||
{level === "camera" &&
|
||||
showOverrideIndicator &&
|
||||
sectionStatus.isOverridden && (
|
||||
|
||||
Loading…
Reference in New Issue
Block a user