@netdata/charts/dist/es6/components/drawer/correlate/sparkline.js

Netdata frontend SDK and chart utilities

function _slicedToArray(r, e) { return _arrayWithHoles(r) || _iterableToArrayLimit(r, e) || _unsupportedIterableToArray(r, e) || _nonIterableRest(); }
function _nonIterableRest() { throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method."); }
function _unsupportedIterableToArray(r, a) { if (r) { if ("string" == typeof r) return _arrayLikeToArray(r, a); var t = {}.toString.call(r).slice(8, -1); return "Object" === t && r.constructor && (t = r.constructor.name), "Map" === t || "Set" === t ? Array.from(r) : "Arguments" === t || /^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }
function _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }
function _iterableToArrayLimit(r, l) { var t = null == r ? null : "undefined" != typeof Symbol && r[Symbol.iterator] || r["@@iterator"]; if (null != t) { var e, n, i, u, a = [], f = !0, o = !1; try { if (i = (t = t.call(r)).next, 0 === l) { if (Object(t) !== t) return; f = !1; } else for (; !(f = (e = i.call(t)).done) && (a.push(e.value), a.length !== l); f = !0); } catch (r) { o = !0, n = r; } finally { try { if (!f && null != t["return"] && (u = t["return"](), Object(u) !== u)) return; } finally { if (o) throw n; } } return a; } }
function _arrayWithHoles(r) { if (Array.isArray(r)) return r; }
import React, { memo, useEffect, useMemo, useState } from "react";
import { Flex } from "@netdata/netdata-ui";
import { useAttributeValue, useChart } from "../../provider";
import { getConversionAttributes } from "../../../helpers/unitConversion/getConversionUnits";
import dimensionColors from "../../../sdk/makeChart/theme/dimensionColors";
import { ValueUnitGrid } from "../valueWithUnit";
import SparklineCanvas from "./sparklineCanvas";
import { getSparklineBatchAttributes, getSparklineBatchDimensions, getSparklineDataFetcher } from "./sparklineData";
import { jsx as _jsx, jsxs as _jsxs } from "react/jsx-runtime";
var valueWidth = 144;
var Sparkline = /*#__PURE__*/memo(function (_ref) {
  var dimension = _ref.dimension,
    dimensions = _ref.dimensions;
  var after = useAttributeValue("after");
  var before = useAttributeValue("before");
  var points = useAttributeValue("points");
  var renderedAt = useAttributeValue("renderedAt");
  var liveAnchor = useAttributeValue("liveAnchor");
  var aggregationMethod = useAttributeValue("correlate.aggregation", "average");
  var theme = useAttributeValue("theme");
  var chart = useChart();
  var getData = useMemo(function () {
    return getSparklineDataFetcher(chart);
  }, [chart]);
  var batchDimensions = useMemo(function () {
    return getSparklineBatchDimensions(dimension, dimensions);
  }, [dimension, dimensions]);
  var attrs = useMemo(function () {
    return getSparklineBatchAttributes(chart, batchDimensions, {
      after: after,
      before: before,
      points: points,
      renderedAt: renderedAt,
      liveAnchor: liveAnchor,
      aggregationMethod: aggregationMethod
    });
  }, [after, aggregationMethod, batchDimensions, before, chart, liveAnchor, points, renderedAt]);
  var _useState = useState(null),
    _useState2 = _slicedToArray(_useState, 2),
    series = _useState2[0],
    setSeries = _useState2[1];
  useEffect(function () {
    var controller = new AbortController();
    setSeries(null);
    getData(attrs, {
      signal: controller.signal
    }).then(function (seriesByDimension) {
      return setSeries(seriesByDimension.get(dimension.dimension) || null);
    })["catch"](function (error) {
      if (error.name !== "AbortError") setSeries(null);
    });
    return function () {
      return controller.abort();
    };
  }, [attrs, dimension.dimension, getData]);
  var formatted = useMemo(function () {
    if (!series || series.latest === null) return {
      value: "-",
      unit: ""
    };
    var unitAttributes = getConversionAttributes(chart, series.unit, {
      min: series.latest,
      max: series.latest
    });
    return {
      value: chart.getConvertedValue(series.latest, {
        unitAttributes: unitAttributes
      }),
      unit: chart.getUnitSign({
        unitAttributes: unitAttributes
      })
    };
  }, [chart, series]);
  var color = useMemo(function () {
    return dimensionColors[11][chart.getThemeIndex()];
  }, [chart, theme]);
  return /*#__PURE__*/_jsxs(Flex, {
    alignItems: "center",
    gap: 1,
    width: {
      min: "0px",
      base: "100%"
    },
    children: [/*#__PURE__*/_jsx(Flex, {
      flex: false,
      basis: "".concat(valueWidth, "px"),
      width: "".concat(valueWidth, "px"),
      title: [formatted.value, formatted.unit].filter(Boolean).join(" "),
      children: /*#__PURE__*/_jsx(ValueUnitGrid, {
        value: formatted.value,
        unit: formatted.unit,
        strong: true
      })
    }), /*#__PURE__*/_jsx(Flex, {
      flex: true,
      width: {
        min: "0px"
      },
      children: /*#__PURE__*/_jsx(SparklineCanvas, {
        values: (series === null || series === void 0 ? void 0 : series.values) || [],
        color: color
      })
    })]
  });
});
export default Sparkline;