Files
litoral-central-frontend/src/features/telemetry/hooks/useTelemetryChartSeries.ts
T

227 lines
6.5 KiB
TypeScript

import { useEffect, useMemo, useRef, useState } from "react";
import type {
WorkspaceChartInterval,
WorkspaceChartPoint,
WorkspaceChartTimeRange,
} from "../../../components/charts/WorkspaceChart";
const BACKEND_URL = "http://localhost:18450";
type HistorianPoint = {
timestamp: string;
numericValue: number | null;
booleanValue: boolean | null;
textValue: string | null;
};
export function useTelemetryChartSeries(
sensorKeys: string[],
timeRange: WorkspaceChartTimeRange,
interval: WorkspaceChartInterval,
) {
const [seriesByKey, setSeriesByKey] = useState<Record<string, WorkspaceChartPoint[]>>({});
const [loading, setLoading] = useState(false);
const initializedRef = useRef(false);
const keySignature = useMemo(
() => sensorKeys.slice().sort().join(","),
[sensorKeys],
);
useEffect(() => {
if (sensorKeys.length === 0) {
setSeriesByKey({});
setLoading(false);
initializedRef.current = false;
return;
}
const controller = new AbortController();
async function loadHistory(showLoading: boolean) {
const startedAt = performance.now();
try {
const to = new Date();
const from = new Date(to.getTime() - rangeToMs(timeRange));
if (showLoading && !initializedRef.current) {
setLoading(true);
}
console.log("[TelemetryChartSeries REQUEST]", {
sensorKeys,
timeRange,
interval,
from: from.toISOString(),
to: to.toISOString(),
});
const entries = await Promise.all(
sensorKeys.map(async (key) => {
const params = new URLSearchParams({
key,
from: from.toISOString(),
to: to.toISOString(),
});
const url = `${BACKEND_URL}/api/historian/series?${params.toString()}`;
const response = await fetch(url, {
signal: controller.signal,
cache: "no-store",
});
if (!response.ok) {
throw new Error(`Failed to load history for ${key}: ${response.status}`);
}
const payload = (await response.json()) as HistorianPoint[];
const points = payload
.filter(
(point) =>
point.numericValue !== null &&
Number.isFinite(point.numericValue),
)
.map((point) => ({
timestamp: point.timestamp,
value: point.numericValue as number,
}));
return [key, aggregatePoints(points, interval)] as const;
}),
);
setSeriesByKey(Object.fromEntries(entries));
initializedRef.current = true;
console.log("[TelemetryChartSeries DONE]", {
sensorCount: sensorKeys.length,
durationMs: Math.round(performance.now() - startedAt),
});
} catch (error) {
if (controller.signal.aborted) return;
console.error("[TelemetryChartSeries ERROR]", error);
if (!initializedRef.current) {
setSeriesByKey({});
}
} finally {
if (!controller.signal.aborted) {
setLoading(false);
}
}
}
loadHistory(true);
const refreshMs = getRefreshMs(timeRange);
if (refreshMs === null) {
return () => controller.abort();
}
const intervalId = window.setInterval(() => {
loadHistory(false);
}, refreshMs);
return () => {
controller.abort();
window.clearInterval(intervalId);
};
}, [keySignature, timeRange, interval]);
return {
seriesByKey,
loading,
};
}
function getRefreshMs(range: WorkspaceChartTimeRange): number | null {
switch (range) {
case "15m":
case "1h":
return 10000;
case "6h":
return 30000;
case "24h":
return 60000;
case "7d":
case "30d":
return null;
}
}
function rangeToMs(range: WorkspaceChartTimeRange) {
switch (range) {
case "15m":
return 15 * 60 * 1000;
case "1h":
return 60 * 60 * 1000;
case "6h":
return 6 * 60 * 60 * 1000;
case "24h":
return 24 * 60 * 60 * 1000;
case "7d":
return 7 * 24 * 60 * 60 * 1000;
case "30d":
return 30 * 24 * 60 * 60 * 1000;
}
}
function intervalToMs(interval: WorkspaceChartInterval) {
switch (interval) {
case "1m":
return 60 * 1000;
case "5m":
return 5 * 60 * 1000;
case "15m":
return 15 * 60 * 1000;
case "1h":
return 60 * 60 * 1000;
}
}
function aggregatePoints(
points: WorkspaceChartPoint[],
interval: WorkspaceChartInterval,
): WorkspaceChartPoint[] {
const bucketMs = intervalToMs(interval);
const buckets = new Map<number, number[]>();
for (const point of points) {
const time = new Date(point.timestamp).getTime();
if (!Number.isFinite(time)) continue;
const bucketTime = Math.floor(time / bucketMs) * bucketMs;
const values = buckets.get(bucketTime) ?? [];
const value = point.value;
if (value !== null && Number.isFinite(value)) {
values.push(value);
}
buckets.set(bucketTime, values);
}
return Array.from(buckets.entries())
.sort(([a], [b]) => a - b)
.map(([bucketTime, values]) => ({
timestamp: new Date(bucketTime).toISOString(),
value: average(values),
}))
.filter((point) => Number.isFinite(point.value));
}
function average(values: number[]) {
if (values.length === 0) return 0;
return values.reduce((sum, value) => sum + value, 0) / values.length;
}