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@netdata/charts

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Netdata frontend SDK and chart utilities

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.calculateStats = exports.calculatePercentageChange = exports.calculateComparisons = void 0; var _statistics = require("../../../helpers/statistics"); function _typeof(o) { "@babel/helpers - typeof"; return _typeof = "function" == typeof Symbol && "symbol" == typeof Symbol.iterator ? function (o) { return typeof o; } : function (o) { return o && "function" == typeof Symbol && o.constructor === Symbol && o !== Symbol.prototype ? "symbol" : typeof o; }, _typeof(o); } function ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; } function _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; } function _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; } function _toPropertyKey(t) { var i = _toPrimitive(t, "string"); return "symbol" == _typeof(i) ? i : i + ""; } function _toPrimitive(t, r) { if ("object" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || "default"); if ("object" != _typeof(i)) return i; throw new TypeError("@@toPrimitive must return a primitive value."); } return ("string" === r ? String : Number)(t); } var calculateStats = exports.calculateStats = function calculateStats(payload) { var _payload$data, _payload$dimensions; var highlightRange = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null; if (!(payload !== null && payload !== void 0 && (_payload$data = payload.data) !== null && _payload$data !== void 0 && _payload$data.length)) return null; var data = payload.data; var filteredData = highlightRange ? data.filter(function (row) { var timestamp = row[0]; var highlightStart = highlightRange[0] * 1000; var highlightEnd = highlightRange[1] * 1000; return timestamp >= highlightStart && timestamp <= highlightEnd; }) : data; if (!filteredData.length) return null; var values = filteredData.flatMap(function (row) { return row.slice(1).filter(function (val) { return val !== null && !isNaN(val) && isFinite(val); }); }); if (!values.length) return null; var stats = (0, _statistics.calculateAllStats)(values); return _objectSpread(_objectSpread({}, stats), {}, { points: filteredData.length, dimensions: ((_payload$dimensions = payload.dimensions) === null || _payload$dimensions === void 0 ? void 0 : _payload$dimensions.length) || 0 }); }; var calculatePercentageChange = exports.calculatePercentageChange = function calculatePercentageChange(current, base) { if (current == null || base == null || base === 0) return null; var change = (current - base) / Math.abs(base) * 100; return { value: Math.abs(change), direction: change >= 0 ? "up" : "down", formatted: "".concat(Math.abs(change).toFixed(1), "%") }; }; var calculateComparisons = exports.calculateComparisons = function calculateComparisons(periods) { var base = periods.find(function (p) { return p.isBase; }); if (!(base !== null && base !== void 0 && base.stats)) return periods; return periods.map(function (period) { if (period.isBase || !period.stats) return period; return _objectSpread(_objectSpread({}, period), {}, { changes: { min: calculatePercentageChange(period.stats.min, base.stats.min), avg: calculatePercentageChange(period.stats.avg, base.stats.avg), max: calculatePercentageChange(period.stats.max, base.stats.max), points: calculatePercentageChange(period.stats.points, base.stats.points), dimensions: calculatePercentageChange(period.stats.dimensions, base.stats.dimensions), median: calculatePercentageChange(period.stats.median, base.stats.median), stddev: calculatePercentageChange(period.stats.stddev, base.stats.stddev), p95: calculatePercentageChange(period.stats.p95, base.stats.p95), range: calculatePercentageChange(period.stats.range, base.stats.range), volume: calculatePercentageChange(period.stats.volume, base.stats.volume), count: calculatePercentageChange(period.stats.count, base.stats.count) } }); }); };