@netdata/charts
Version:
Netdata frontend SDK and chart utilities
216 lines • 11.2 kB
JavaScript
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import unitConversion from "./index";
import { makeTestChart } from "@jest/testUtilities";
var bytesRawPayload = {
view: {
units: ["By"],
dimensions: {
ids: ["small", "large"],
names: ["small", "large"],
units: ["By", "By"]
}
},
result: {
labels: ["time", "small", "large"],
point: {
value: 0,
arp: 1,
pa: 2
},
data: [[1, 1, Math.pow(1024, 3)], [2, 512, 2 * Math.pow(1024, 3)]]
}
};
var loadPayload = function loadPayload(chart, rawPayload) {
return new Promise(function (resolve) {
chart.on("successFetch", function () {
return resolve();
});
chart.doneFetch(rawPayload);
});
};
describe("unitConversion", function () {
var chart;
beforeEach(function () {
var testChart = makeTestChart({
attributes: {
units: ["By"],
unitsCurrent: ["By"],
unitsConversion: "original",
unitsStsByContext: {},
dbUnitsStsByContext: {},
dimensionIds: ["cpu", "memory"],
visibleDimensionIds: ["cpu", "memory"]
}
});
chart = testChart.chart;
});
it("returns a cleanup function", function () {
var cleanup = unitConversion(chart);
expect(_typeof(cleanup)).toBe("function");
expect(function () {
return cleanup();
}).not.toThrow();
});
it("sets up unit conversion attributes", function () {
unitConversion(chart);
chart.trigger("yAxisChange", 0, 5000);
expect(chart.getAttribute("unitsConversionMethod")).toEqual(["adjust"]);
expect(chart.getAttribute("unitsConversionPrefix")).toEqual(["Ki"]);
expect(chart.getAttribute("dbUnitsConversionMethod")).toEqual(["adjust"]);
});
it("handles static value range", function () {
chart.updateAttribute("staticValueRange", [0, 100]);
unitConversion(chart);
chart.trigger("yAxisChange", 50, 150);
expect(chart.getAttribute("min")).toBe(0);
expect(chart.getAttribute("max")).toBe(100);
});
it("updates conversion when visible dimensions change", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee() {
var cleanup;
return _regenerator().w(function (_context) {
while (1) switch (_context.n) {
case 0:
_context.n = 1;
return loadPayload(chart, bytesRawPayload);
case 1:
cleanup = unitConversion(chart);
chart.trigger("visibleDimensionsChanged");
expect(chart.getAttribute("unitsConversionPrefix")).toEqual(["Gi"]);
expect(chart.getAttribute("max")).toBe(2 * Math.pow(1024, 3));
chart.updateAttribute("selectedLegendDimensions", ["small"]);
chart.sortDimensions();
expect(chart.getAttribute("unitsConversionPrefix")).toEqual([""]);
expect(chart.getAttribute("max")).toBe(512);
cleanup();
case 2:
return _context.a(2);
}
}, _callee);
})));
it("updates conversion on y-axis change", function () {
var cleanup = unitConversion(chart);
chart.trigger("yAxisChange", 10, 90);
expect(chart.getAttribute("min")).toBe(10);
expect(chart.getAttribute("max")).toBe(90);
cleanup();
});
it("handles missing payload data gracefully", function () {
var testChart = makeTestChart({
attributes: {
units: ["By"]
}
});
var cleanup = unitConversion(testChart.chart);
expect(function () {
testChart.chart.trigger("yAxisChange", 0, 100);
}).not.toThrow();
cleanup();
});
it("uses dimension min/max when available", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee2() {
var cleanup, unitsByDimension;
return _regenerator().w(function (_context2) {
while (1) switch (_context2.n) {
case 0:
_context2.n = 1;
return loadPayload(chart, bytesRawPayload);
case 1:
cleanup = unitConversion(chart);
chart.trigger("visibleDimensionsChanged");
expect(chart.getAttribute("min")).toBe(1);
expect(chart.getAttribute("max")).toBe(2 * Math.pow(1024, 3));
unitsByDimension = chart.getAttribute("unitsByDimension");
expect(unitsByDimension.small.prefix).toBe("");
expect(unitsByDimension.large.prefix).toBe("Gi");
cleanup();
case 2:
return _context2.a(2);
}
}, _callee2);
})));
it("stores conversion attributes per dimension", function () {
chart.updateAttributes({
units: ["By"],
viewDimensions: {
ids: ["small", "large"],
names: ["small", "large"],
units: ["By", "By"],
contexts: ["small", "large"]
},
dimensionIds: ["small", "large"],
visibleDimensionIds: ["small", "large"]
});
chart.getPayload = function () {
return {
byDimension: {
small: {
min: 1,
max: 512
},
large: {
min: Math.pow(1024, 3),
max: 2 * Math.pow(1024, 3)
}
}
};
};
chart.updateDimensions();
var cleanup = unitConversion(chart);
chart.trigger("visibleDimensionsChanged");
var unitsByDimension = chart.getAttribute("unitsByDimension");
expect(unitsByDimension.small.prefix).toBe("");
expect(unitsByDimension.large.prefix).toBe("Gi");
cleanup();
});
it("handles context-specific units", function () {
chart.updateAttribute("unitsStsByContext", {
ctxPercent: {
units: "%",
min: 0,
max: 100
},
ctxBytes: {
units: "By",
min: 0,
max: 1024
}
});
unitConversion(chart);
chart.trigger("yAxisChange", 0, 100);
var unitsByContext = chart.getAttribute("unitsByContext");
expect(unitsByContext.ctxPercent.method).toBe("original");
expect(unitsByContext.ctxPercent.prefix).toBe("");
expect(unitsByContext.ctxBytes.method).toBe("adjust");
expect(unitsByContext.ctxBytes.prefix).toBe("Ki");
});
it("processes both units and dbUnits", function () {
chart.updateAttribute("dbUnits", ["ms"]);
chart.updateAttribute("dbUnitsStsByContext", {
ctxMs: {
units: "ms",
min: 0,
max: 100
}
});
unitConversion(chart);
chart.trigger("yAxisChange", 0, 5000);
expect(chart.getAttribute("unitsConversionMethod")).toEqual(["adjust"]);
expect(chart.getAttribute("dbUnitsConversionMethod")).toEqual(["ms-s"]);
expect(chart.getAttribute("dbUnitsByContext").ctxMs.method).toBe("ms-ms");
expect(chart.getAttribute("dbUnitsByContext").ctxMs.base).toBe("ms");
});
it("respects chart state on initialization", function () {
chart.updateAttributes({
units: ["%"],
staticValueRange: [0, 100]
});
unitConversion(chart);
chart.trigger("yAxisChange", 50, 150);
expect(chart.getAttribute("unitsConversionMethod")).toEqual(["original"]);
expect(chart.getAttribute("min")).toBe(0);
expect(chart.getAttribute("max")).toBe(100);
});
});