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@netdata/charts

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Netdata frontend SDK and chart utilities

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function _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); } function _nonIterableSpread() { throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method."); } function _unsupportedIterableToArray(r, a) { if (r) { if ("string" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } } function _iterableToArray(r) { if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r); } function _arrayWithoutHoles(r) { if (Array.isArray(r)) return _arrayLikeToArray(r); } function _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; } import React, { memo, useCallback, useLayoutEffect, useRef } from "react"; import { Box } from "@netdata/netdata-ui"; import { jsx as _jsx } from "react/jsx-runtime"; var defaultWidth = 120; var defaultHeight = 24; var linePadding = 4; export var getSparklinePoints = function getSparklinePoints(values, width, height) { var finiteValues = values.filter(Number.isFinite); if (!finiteValues.length) return []; var min = Math.min.apply(Math, _toConsumableArray(finiteValues)); var max = Math.max.apply(Math, _toConsumableArray(finiteValues)); var range = max - min; var xRange = Math.max(width - linePadding * 2, 1); var yRange = Math.max(height - linePadding * 2, 1); var divisor = Math.max(values.length - 1, 1); return values.map(function (value, index) { if (!Number.isFinite(value)) return null; return { x: linePadding + index / divisor * xRange, y: range ? linePadding + (max - value) / range * yRange : height / 2 }; }); }; export var drawSparkline = function drawSparkline(context, values, width, height, color) { var points = getSparklinePoints(values, width, height); context.clearRect(0, 0, width, height); if (!points.length) return; context.beginPath(); var drawing = false; points.forEach(function (point) { if (!point) { drawing = false; return; } if (drawing) context.lineTo(point.x, point.y);else context.moveTo(point.x, point.y); drawing = true; }); context.strokeStyle = color; context.lineWidth = 1; context.lineJoin = "round"; context.lineCap = "round"; context.stroke(); }; var SparklineCanvas = function SparklineCanvas(_ref) { var values = _ref.values, color = _ref.color, _ref$height = _ref.height, height = _ref$height === void 0 ? defaultHeight : _ref$height; var canvasRef = useRef(null); var frameRef = useRef(null); var draw = useCallback(function () { var canvas = canvasRef.current; if (!canvas) return; var width = Math.max(Math.round(canvas.getBoundingClientRect().width) || defaultWidth, 1); var ratio = window.devicePixelRatio || 1; var pixelWidth = Math.round(width * ratio); var pixelHeight = Math.round(height * ratio); if (canvas.width !== pixelWidth) canvas.width = pixelWidth; if (canvas.height !== pixelHeight) canvas.height = pixelHeight; var context = canvas.getContext("2d"); if (!context) return; context.setTransform(ratio, 0, 0, ratio, 0, 0); drawSparkline(context, values, width, height, color); }, [color, height, values]); useLayoutEffect(function () { draw(); if (typeof ResizeObserver === "undefined") return; var observer = new ResizeObserver(function () { if (frameRef.current) window.cancelAnimationFrame(frameRef.current); frameRef.current = window.requestAnimationFrame(draw); }); observer.observe(canvasRef.current); return function () { observer.disconnect(); if (frameRef.current) window.cancelAnimationFrame(frameRef.current); }; }, [draw]); return /*#__PURE__*/_jsx(Box, { as: "canvas", ref: canvasRef, width: "100%", height: "".concat(height, "px"), role: "img", "aria-label": "Metric trend" }); }; export default /*#__PURE__*/memo(SparklineCanvas);