@netdata/charts
Version:
Netdata frontend SDK and chart utilities
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JavaScript
;
var _dataFetcher = require("./dataFetcher");
var _calculations = require("./calculations");
var _testUtilities = require("@jest/testUtilities");
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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."); }
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function _toConsumableArray(r) { return _arrayWithoutHoles(r) || _iterableToArray(r) || _unsupportedIterableToArray(r) || _nonIterableSpread(); }
function _nonIterableSpread() { throw new TypeError("Invalid attempt to spread 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$/.test(t) ? _arrayLikeToArray(r, a) : void 0; } }
function _iterableToArray(r) { if ("undefined" != typeof Symbol && null != r[Symbol.iterator] || null != r["@@iterator"]) return Array.from(r); }
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function _arrayLikeToArray(r, a) { (null == a || a > r.length) && (a = r.length); for (var e = 0, n = Array(a); e < a; e++) n[e] = r[e]; return n; }
function ownKeys(e, r) { var t = Object.keys(e); if (Object.getOwnPropertySymbols) { var o = Object.getOwnPropertySymbols(e); r && (o = o.filter(function (r) { return Object.getOwnPropertyDescriptor(e, r).enumerable; })), t.push.apply(t, o); } return t; }
function _objectSpread(e) { for (var r = 1; r < arguments.length; r++) { var t = null != arguments[r] ? arguments[r] : {}; r % 2 ? ownKeys(Object(t), !0).forEach(function (r) { _defineProperty(e, r, t[r]); }) : Object.getOwnPropertyDescriptors ? Object.defineProperties(e, Object.getOwnPropertyDescriptors(t)) : ownKeys(Object(t)).forEach(function (r) { Object.defineProperty(e, r, Object.getOwnPropertyDescriptor(t, r)); }); } return e; }
function _defineProperty(e, r, t) { return (r = _toPropertyKey(r)) in e ? Object.defineProperty(e, r, { value: t, enumerable: !0, configurable: !0, writable: !0 }) : e[r] = t, e; }
function _toPropertyKey(t) { var i = _toPrimitive(t, "string"); return "symbol" == _typeof(i) ? i : i + ""; }
function _toPrimitive(t, r) { if ("object" != _typeof(t) || !t) return t; var e = t[Symbol.toPrimitive]; if (void 0 !== e) { var i = e.call(t, r || "default"); if ("object" != _typeof(i)) return i; throw new TypeError("@@toPrimitive must return a primitive value."); } return ("string" === r ? String : Number)(t); }
var customPeriods = [{
id: "24h",
label: "24 hours before",
offsetSeconds: 86400
}, {
id: "7d",
label: "7 days before",
offsetSeconds: 604800
}];
var makeRawPayload = function makeRawPayload() {
var _ref = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : {},
_ref$value = _ref.value,
value = _ref$value === void 0 ? 51 : _ref$value,
_ref$pointValue = _ref.pointValue,
pointValue = _ref$pointValue === void 0 ? 1 : _ref$pointValue;
return {
result: {
labels: ["time", "cpu"],
point: {
value: pointValue,
arp: pointValue ? 0 : 1
},
data: [[1000, pointValue ? [50, value] : [value, 50]], [2000, pointValue ? [60, value + 10] : [value + 10, 60]]]
},
view: {
update_every: 5
}
};
};
var loadChart = function loadChart(chart) {
return new Promise(function (resolve) {
var unsubscribe = chart.on("successFetch", function () {
unsubscribe();
resolve();
});
chart.fetch();
});
};
describe("dataFetcher", function () {
var chart;
beforeEach(function () {
chart = (0, _testUtilities.makeTestChart)({
attributes: {
after: 1000,
before: 2000,
contextScope: ["system.cpu"],
customPeriods: customPeriods
}
}).chart;
});
describe("getCurrentTimeRange", function () {
it("uses the chart's canonical absolute window", function () {
expect((0, _dataFetcher.getCurrentTimeRange)(chart)).toEqual({
after: 1000,
before: 2000
});
chart.updateAttributes({
after: -900,
before: 0,
renderedAt: 2000000
});
expect((0, _dataFetcher.getCurrentTimeRange)(chart)).toEqual({
after: 1100,
before: 2000
});
});
});
describe("getComparisonPeriods", function () {
it("generates the selected and custom periods in order", function () {
expect((0, _dataFetcher.getComparisonPeriods)({
after: 1000,
before: 2000
}, customPeriods)).toEqual([{
id: "selected",
label: "Selected timeframe",
after: 1000,
before: 2000,
isBase: true
}, _objectSpread(_objectSpread({}, customPeriods[0]), {}, {
after: 1000 - 86400,
before: 2000 - 86400
}), _objectSpread(_objectSpread({}, customPeriods[1]), {}, {
after: 1000 - 604800,
before: 2000 - 604800
})]);
});
});
describe("normalizeComparisonPayload", function () {
it("extracts the configured scalar value without chart-only object copies", function () {
var result = (0, _dataFetcher.normalizeComparisonPayload)({
result: {
labels: ["time", "cpu", "memory"],
point: {
value: 1,
arp: 2
},
data: [[1000, [50, 51, 0], [30, 31, 0]], [2000, [60, 61, 0], [40, 41, 0]]]
},
view: {
update_every: 5
}
});
expect(result).toEqual({
labels: ["time", "cpu", "memory", "ANOMALY_RATE", "ANNOTATIONS"],
data: [[1000, 51, 31, null, null], [2000, 61, 41, null, null]],
viewUpdateEvery: 5
});
expect(result).not.toHaveProperty("all");
expect(result).not.toHaveProperty("tree");
expect(result).not.toHaveProperty("byDimension");
expect((0, _calculations.extractDimensionValues)(result)).toEqual({
cpu: 61,
memory: 41
});
expect((0, _calculations.calculateStats)(result)).toMatchObject({
points: 2,
dimensions: 4
});
});
it("supports point.value zero and preserves nulls", function () {
var rawPayload = makeRawPayload({
value: 0,
pointValue: 0
});
rawPayload.result.data[0][1][0] = null;
expect((0, _dataFetcher.normalizeComparisonPayload)(rawPayload).data).toEqual([[1000, null, null, null], [2000, 10, null, null]]);
});
it("rejects malformed responses instead of treating them as empty data", function () {
expect(function () {
return (0, _dataFetcher.normalizeComparisonPayload)({
result: {}
});
}).toThrow("Invalid comparison response");
expect(function () {
return (0, _dataFetcher.normalizeComparisonPayload)({
result: {
labels: ["time", "cpu"],
data: [[1000]],
point: {
value: 0
}
}
});
}).toThrow("Invalid comparison data row");
});
it("handles thousands of dimensions with the compact contract", function () {
var dimensionCount = 5256;
var labels = ["time"].concat(_toConsumableArray(Array.from({
length: dimensionCount
}, function (_, index) {
return "d".concat(index);
})));
var data = Array.from({
length: 3
}, function (_, pointIndex) {
return [pointIndex * 1000].concat(_toConsumableArray(Array.from({
length: dimensionCount
}, function (_, dimensionIndex) {
return [dimensionIndex + pointIndex, 0, 0];
})));
});
var result = (0, _dataFetcher.normalizeComparisonPayload)({
result: {
labels: labels,
data: data,
point: {
value: 0,
arp: 1,
pa: 2
}
},
view: {
update_every: 5
}
});
expect(result.data).toHaveLength(3);
expect(result.data[0]).toHaveLength(dimensionCount + 3);
expect(result.labels).toHaveLength(dimensionCount + 3);
expect(result.data[2][dimensionCount]).toBe(dimensionCount + 1);
});
});
describe("fetchComparisonData", function () {
it("does not request comparison data before the main chart loads", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee() {
var getChart, calls, _t;
return _regenerator().w(function (_context) {
while (1) switch (_context.n) {
case 0:
getChart = chart.getChart;
calls = 0;
chart.getChart = function () {
calls++;
return getChart.apply(void 0, arguments);
};
_t = expect;
_context.n = 1;
return (0, _dataFetcher.fetchComparisonData)(chart);
case 1:
_t(_context.v).toEqual([]);
expect(calls).toBe(0);
case 2:
return _context.a(2);
}
}, _callee);
})));
it("always reuses the loaded main payload and fetches only historical periods", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee2() {
var getChart, calls, result;
return _regenerator().w(function (_context2) {
while (1) switch (_context2.n) {
case 0:
_context2.n = 1;
return loadChart(chart);
case 1:
getChart = chart.getChart;
calls = 0;
chart.getChart = function () {
calls++;
return getChart.apply(void 0, arguments);
};
_context2.n = 2;
return (0, _dataFetcher.fetchComparisonData)(chart);
case 2:
result = _context2.v;
expect(calls).toBe(customPeriods.length);
expect(result[0].payload.data).toBe(chart.getPayload().data);
expect((0, _dataFetcher.getMainPeriodPayload)(chart).data).toBe(chart.getPayload().data);
expect(chart.getAttribute("comparePeriods")).toBe(result);
case 3:
return _context2.a(2);
}
}, _callee2);
})));
it("uses a successful empty main payload without refetching it", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee4() {
var calls, result;
return _regenerator().w(function (_context4) {
while (1) switch (_context4.n) {
case 0:
chart.updateAttribute("loaded", true);
chart.updateAttribute("customPeriods", []);
calls = 0;
chart.getChart = /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee3() {
return _regenerator().w(function (_context3) {
while (1) switch (_context3.n) {
case 0:
calls++;
return _context3.a(2, makeRawPayload());
}
}, _callee3);
}));
_context4.n = 1;
return (0, _dataFetcher.fetchComparisonData)(chart);
case 1:
result = _context4.v;
expect(calls).toBe(0);
expect(result).toHaveLength(1);
expect(result[0].payload.data).toBe(chart.getPayload().data);
expect(result[0].payload.data).toEqual([]);
case 2:
return _context4.a(2);
}
}, _callee4);
})));
it("deduplicates identical concurrent batches but not completed batches", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee6() {
var calls, _yield$Promise$all, _yield$Promise$all2, first, second;
return _regenerator().w(function (_context6) {
while (1) switch (_context6.n) {
case 0:
_context6.n = 1;
return loadChart(chart);
case 1:
calls = 0;
chart.getChart = /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee5() {
return _regenerator().w(function (_context5) {
while (1) switch (_context5.n) {
case 0:
calls++;
_context5.n = 1;
return new Promise(function (resolve) {
return setTimeout(resolve, 5);
});
case 1:
return _context5.a(2, makeRawPayload());
}
}, _callee5);
}));
_context6.n = 2;
return Promise.all([(0, _dataFetcher.fetchComparisonData)(chart), (0, _dataFetcher.fetchComparisonData)(chart)]);
case 2:
_yield$Promise$all = _context6.v;
_yield$Promise$all2 = _slicedToArray(_yield$Promise$all, 2);
first = _yield$Promise$all2[0];
second = _yield$Promise$all2[1];
expect(first).toBe(second);
expect(calls).toBe(customPeriods.length);
_context6.n = 3;
return (0, _dataFetcher.fetchComparisonData)(chart);
case 3:
expect(calls).toBe(customPeriods.length * 2);
case 4:
return _context6.a(2);
}
}, _callee6);
})));
it("includes complete period definitions in batch identity and keeps latest results", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee8() {
var calls, first, second;
return _regenerator().w(function (_context8) {
while (1) switch (_context8.n) {
case 0:
_context8.n = 1;
return loadChart(chart);
case 1:
calls = 0;
chart.getChart = /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee7() {
return _regenerator().w(function (_context7) {
while (1) switch (_context7.n) {
case 0:
calls++;
_context7.n = 1;
return new Promise(function (resolve) {
return setTimeout(resolve, 5);
});
case 1:
return _context7.a(2, makeRawPayload({
value: calls
}));
}
}, _callee7);
}));
first = (0, _dataFetcher.fetchComparisonData)(chart);
chart.updateAttribute("customPeriods", customPeriods.map(function (period) {
return period.id === "24h" ? _objectSpread(_objectSpread({}, period), {}, {
label: "Previous day"
}) : period;
}));
second = (0, _dataFetcher.fetchComparisonData)(chart);
_context8.n = 2;
return Promise.all([first, second]);
case 2:
expect(calls).toBe(customPeriods.length * 2);
expect(chart.getAttribute("comparePeriods")[1].label).toBe("Previous day");
expect(chart.getAttribute("compareLoading")).toBe(false);
case 3:
return _context8.a(2);
}
}, _callee8);
})));
it("keeps transport and malformed-response failures local to each period", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee0() {
var calls, result;
return _regenerator().w(function (_context0) {
while (1) switch (_context0.n) {
case 0:
_context0.n = 1;
return loadChart(chart);
case 1:
calls = 0;
chart.getChart = /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee9() {
return _regenerator().w(function (_context9) {
while (1) switch (_context9.n) {
case 0:
calls++;
if (!(calls === 1)) {
_context9.n = 1;
break;
}
throw new Error("Network error");
case 1:
return _context9.a(2, {
result: {}
});
}
}, _callee9);
}));
_context0.n = 2;
return (0, _dataFetcher.fetchComparisonData)(chart);
case 2:
result = _context0.v;
expect(result[0].error).toBeNull();
expect(result[1]).toMatchObject({
payload: null,
error: "Network error"
});
expect(result[2]).toMatchObject({
payload: null,
error: "Invalid comparison response"
});
expect(chart.getAttribute("compareError")).toBeNull();
expect(chart.getAttribute("compareLoading")).toBe(false);
case 3:
return _context0.a(2);
}
}, _callee0);
})));
});
});