@netdata/charts
Version:
Netdata frontend SDK and chart utilities
125 lines (124 loc) • 7.6 kB
JavaScript
;
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); }
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = void 0;
var _react = _interopRequireWildcard(require("react"));
var _netdataUi = require("@netdata/netdata-ui");
var _provider = require("../provider");
var _aggregation_avg = _interopRequireDefault(require("@netdata/netdata-ui/dist/components/icon/assets/aggregation_avg.svg"));
var _aggregation_sum = _interopRequireDefault(require("@netdata/netdata-ui/dist/components/icon/assets/aggregation_sum.svg"));
var _aggregation_min = _interopRequireDefault(require("@netdata/netdata-ui/dist/components/icon/assets/aggregation_min.svg"));
var _aggregation_max = _interopRequireDefault(require("@netdata/netdata-ui/dist/components/icon/assets/aggregation_max.svg"));
var _dropdownSingleSelect = _interopRequireDefault(require("./dropdownSingleSelect"));
var _icon = _interopRequireDefault(require("../icon"));
var _jsxRuntime = require("react/jsx-runtime");
var _excluded = ["labelProps", "defaultMinimal"];
function _interopRequireDefault(e) { return e && e.__esModule ? e : { "default": e }; }
function _interopRequireWildcard(e, t) { if ("function" == typeof WeakMap) var r = new WeakMap(), n = new WeakMap(); return (_interopRequireWildcard = function _interopRequireWildcard(e, t) { if (!t && e && e.__esModule) return e; var o, i, f = { __proto__: null, "default": e }; if (null === e || "object" != _typeof(e) && "function" != typeof e) return f; if (o = t ? n : r) { if (o.has(e)) return o.get(e); o.set(e, f); } for (var _t in e) "default" !== _t && {}.hasOwnProperty.call(e, _t) && ((i = (o = Object.defineProperty) && Object.getOwnPropertyDescriptor(e, _t)) && (i.get || i.set) ? o(f, _t, i) : f[_t] = e[_t]); return f; })(e, t); }
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; }
var useItems = function useItems(chart) {
return (0, _react.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__*/(0, _jsxRuntime.jsx)(_icon["default"], {
svg: _aggregation_avg["default"],
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__*/(0, _jsxRuntime.jsx)(_icon["default"], {
svg: _aggregation_sum["default"],
color: "textLite",
size: "10px"
}),
"data-track": chart.track("sum")
}, {
value: "percentage",
label: "Percentage",
description: "For each point presented, express the metrics contributing to it as a percentage of their group total.",
"short": "PCT()",
icon: /*#__PURE__*/(0, _jsxRuntime.jsx)(_netdataUi.TextMicro, {
color: "textLite",
children: "%"
}),
"data-track": chart.track("percentage")
}, {
value: "min",
label: "Minimum",
description: "For each point presented, present the minimum of the metrics contributing to it.",
"short": "MIN()",
icon: /*#__PURE__*/(0, _jsxRuntime.jsx)(_icon["default"], {
svg: _aggregation_min["default"],
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__*/(0, _jsxRuntime.jsx)(_icon["default"], {
svg: _aggregation_max["default"],
color: "textLite",
size: "10px"
}),
"data-track": chart.track("max")
}];
}, [chart]);
};
var dropTitle = /*#__PURE__*/(0, _jsxRuntime.jsx)(_netdataUi.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 = (0, _provider.useChart)();
var value = (0, _provider.useAttributeValue)("aggregationMethod");
var items = useItems(chart);
var isMinimal = (0, _provider.useIsMinimal)();
var _ref2 = items.find(function (item) {
return item.value === value;
}) || items[0],
_short = _ref2["short"],
icon = _ref2.icon;
return /*#__PURE__*/(0, _jsxRuntime.jsx)(_dropdownSingleSelect["default"], _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)
}));
};
var _default = exports["default"] = /*#__PURE__*/(0, _react.memo)(Aggregate);