forked from Github/frigate
Add status bar provider (#11066)
This commit is contained in:
12
web/src/hooks/use-deep-memo.ts
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12
web/src/hooks/use-deep-memo.ts
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@@ -0,0 +1,12 @@
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import { useRef } from "react";
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import { isEqual } from "lodash";
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export default function useDeepMemo<T>(value: T) {
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const ref = useRef<T | undefined>(undefined);
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if (!isEqual(ref.current, value)) {
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ref.current = value;
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}
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return ref.current;
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}
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@@ -7,78 +7,82 @@ import {
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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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import useDeepMemo from "./use-deep-memo";
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import { capitalizeFirstLetter } from "@/utils/stringUtil";
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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 memoizedStats = useDeepMemo(stats);
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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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if (!memoizedStats) {
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return problems;
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}
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// if frigate has just started
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// don't look for issues
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if (stats.service.uptime < 120) {
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if (memoizedStats.service.uptime < 120) {
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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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Object.entries(memoizedStats["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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text: `${capitalizeFirstLetter(key)} is very slow (${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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text: `${capitalizeFirstLetter(key)} is slow (${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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Object.entries(memoizedStats["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: `${name.replaceAll("_", " ")} is offline`,
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text: `${capitalizeFirstLetter(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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Object.entries(memoizedStats["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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memoizedStats["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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memoizedStats["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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text: `${capitalizeFirstLetter(name.replaceAll("_", " "))} has high FFMPEG CPU usage (${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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text: `${capitalizeFirstLetter(name.replaceAll("_", " "))} has high detect CPU usage (${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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}, [config, memoizedStats]);
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return { potentialProblems };
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}
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