@netdata/charts
Version:
Netdata frontend SDK and chart utilities
70 lines (69 loc) • 4.8 kB
JavaScript
;
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)
}
});
});
};