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https://github.com/blakeblackshear/frigate.git
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* Reorganize stats and show graphs in system metrics * Break apart all cpu / mem graphs * Auto update stats * Show camera graphs * Get system graphs working for inference time * Update stats every 10 seconds, keeping the last 10 minutes * Use types for thresholds * Use keys api * Break system metrics into different pages * Add dialog for viewing and copying vainfo * remove unused for now * Formatting * Make tooltip match theme * Make betters color in light mode * Include gpu * Make scaling consistent * Fix name * address feedback
79 lines
2.3 KiB
TypeScript
79 lines
2.3 KiB
TypeScript
import { FrigateConfig } from "@/types/frigateConfig";
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import {
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CameraDetectThreshold,
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CameraFfmpegThreshold,
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InferenceThreshold,
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} from "@/types/graph";
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import { FrigateStats, PotentialProblem } from "@/types/stats";
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import { useMemo } from "react";
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import useSWR from "swr";
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export default function useStats(stats: FrigateStats | undefined) {
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const { data: config } = useSWR<FrigateConfig>("config");
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const potentialProblems = useMemo<PotentialProblem[]>(() => {
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const problems: PotentialProblem[] = [];
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if (!stats) {
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return problems;
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}
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// check detectors for high inference speeds
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Object.entries(stats["detectors"]).forEach(([key, det]) => {
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if (det["inference_speed"] > InferenceThreshold.error) {
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problems.push({
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text: `${key} is very slow (${det["inference_speed"]} ms)`,
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color: "text-danger",
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});
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} else if (det["inference_speed"] > InferenceThreshold.warning) {
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problems.push({
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text: `${key} is slow (${det["inference_speed"]} ms)`,
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color: "text-orange-400",
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});
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}
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});
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// check for offline cameras
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Object.entries(stats["cameras"]).forEach(([name, cam]) => {
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if (!config) {
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return;
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}
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if (config.cameras[name].enabled && cam["camera_fps"] == 0) {
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problems.push({
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text: `${name.replaceAll("_", " ")} is offline`,
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color: "text-danger",
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});
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}
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});
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// check camera cpu usages
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Object.entries(stats["cameras"]).forEach(([name, cam]) => {
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const ffmpegAvg = parseFloat(
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stats["cpu_usages"][cam["ffmpeg_pid"]]?.cpu_average,
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);
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const detectAvg = parseFloat(
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stats["cpu_usages"][cam["pid"]]?.cpu_average,
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);
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if (!isNaN(ffmpegAvg) && ffmpegAvg >= CameraFfmpegThreshold.error) {
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problems.push({
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text: `${name.replaceAll("_", " ")} has high FFMPEG CPU usage (${ffmpegAvg}%)`,
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color: "text-danger",
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});
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}
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if (!isNaN(detectAvg) && detectAvg >= CameraDetectThreshold.error) {
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problems.push({
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text: `${name.replaceAll("_", " ")} has high detect CPU usage (${detectAvg}%)`,
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color: "text-danger",
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});
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}
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});
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return problems;
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}, [config, stats]);
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return { potentialProblems };
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}
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