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@netdata/charts

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Netdata frontend SDK and chart utilities

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"use strict"; 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);