@netdata/charts/dist/es6/components/filterToolbox/aggregate.js

Netdata frontend SDK and chart utilities

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); }
var _excluded = ["labelProps", "defaultMinimal"];
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); }
function _objectWithoutProperties(e, t) { if (null == e) return {}; var o, r, i = _objectWithoutPropertiesLoose(e, t); if (Object.getOwnPropertySymbols) { var n = Object.getOwnPropertySymbols(e); for (r = 0; r < n.length; r++) o = n[r], -1 === t.indexOf(o) && {}.propertyIsEnumerable.call(e, o) && (i[o] = e[o]); } return i; }
function _objectWithoutPropertiesLoose(r, e) { if (null == r) return {}; var t = {}; for (var n in r) if ({}.hasOwnProperty.call(r, n)) { if (-1 !== e.indexOf(n)) continue; t[n] = r[n]; } return t; }
import React, { memo, useMemo } from "react";
import { TextMicro } from "@netdata/netdata-ui";
import { useAttributeValue, useChart, useIsMinimal } from "../provider";
import AggrAvg from "@netdata/netdata-ui/dist/components/icon/assets/aggregation_avg.svg";
import AggrSum from "@netdata/netdata-ui/dist/components/icon/assets/aggregation_sum.svg";
import AggrMin from "@netdata/netdata-ui/dist/components/icon/assets/aggregation_min.svg";
import AggrMax from "@netdata/netdata-ui/dist/components/icon/assets/aggregation_max.svg";
import Dropdown from "./dropdownSingleSelect";
import Icon from "../icon";
import { jsx as _jsx } from "react/jsx-runtime";
var useItems = function useItems(chart) {
  return useMemo(function () {
    return [{
      value: "avg",
      label: "Average",
      description: "For each point presented, calculate the average of the metrics contributing to it.",
      "short": "AVG()",
      icon: /*#__PURE__*/_jsx(Icon, {
        svg: AggrAvg,
        color: "textLite",
        size: "10px"
      }),
      "data-track": chart.track("avg")
    }, {
      value: "sum",
      label: "Sum",
      description: "For each point presented, calculate the sum of the metrics contributing to it.",
      "short": "SUM()",
      icon: /*#__PURE__*/_jsx(Icon, {
        svg: AggrSum,
        color: "textLite",
        size: "10px"
      }),
      "data-track": chart.track("sum")
    }, {
      value: "min",
      label: "Minimum",
      description: "For each point presented, present the minimum of the metrics contributing to it.",
      "short": "MIN()",
      icon: /*#__PURE__*/_jsx(Icon, {
        svg: AggrMin,
        color: "textLite",
        size: "10px"
      }),
      "data-track": chart.track("min")
    }, {
      value: "max",
      label: "Maximum",
      description: "For each point presented, present the maximum of the metrics contributing to it.",
      "short": "MAX()",
      icon: /*#__PURE__*/_jsx(Icon, {
        svg: AggrMax,
        color: "textLite",
        size: "10px"
      }),
      "data-track": chart.track("max")
    }];
  }, [chart]);
};
var dropTitle = /*#__PURE__*/_jsx(TextMicro, {
  padding: [0, 0, 2],
  color: "textLite",
  children: "When aggregating multiple source time-series metrics to one visible dimension on the chart, use the following aggregation function"
});
var tooltipProps = {
  heading: "Metrics aggregation",
  body: "View or select the aggregation function applied when multiple source time-series metrics need to be grouped together to be presented as dimensions on this chart."
};
var Aggregate = function Aggregate(_ref) {
  var labelProps = _ref.labelProps,
    defaultMinimal = _ref.defaultMinimal,
    rest = _objectWithoutProperties(_ref, _excluded);
  var chart = useChart();
  var value = useAttributeValue("aggregationMethod");
  var items = useItems(chart);
  var isMinimal = useIsMinimal();
  var _ref2 = items.find(function (item) {
      return item.value === value;
    }) || items[0],
    _short = _ref2["short"],
    icon = _ref2.icon;
  return /*#__PURE__*/_jsx(Dropdown, _objectSpread(_objectSpread({
    value: value,
    onChange: chart.updateAggregationMethodAttribute,
    items: items,
    "data-track": chart.track("aggregate"),
    dropTitle: dropTitle
  }, rest), {}, {
    labelProps: _objectSpread({
      chevron: !isMinimal && !defaultMinimal,
      secondaryLabel: isMinimal || defaultMinimal ? "" : "the",
      label: isMinimal || defaultMinimal ? icon : _short,
      title: tooltipProps.heading,
      tooltipProps: tooltipProps
    }, labelProps)
  }));
};
export default /*#__PURE__*/memo(Aggregate);