@netdata/charts
Version:
Netdata frontend SDK and chart utilities
252 lines • 17.7 kB
JavaScript
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import fetchCloudWeights from "./fetchCloudWeights";
import { makeTestChart } from "@jest/testUtilities";
global.fetch = jest.fn(function () {
return Promise.resolve({
ok: true,
json: function json() {
return Promise.resolve({
result: []
});
}
});
});
describe("fetchCloudWeights", function () {
var chart;
beforeEach(function () {
jest.clearAllMocks();
var _makeTestChart = makeTestChart({
attributes: {
host: "https://api.netdata.cloud",
groupBy: ["dimension"],
groupByLabel: [],
aggregationMethod: "sum",
selectedContexts: ["system.cpu"],
selectedInstances: [],
selectedDimensions: [],
selectedLabels: [],
contextScope: ["system"],
nodesScope: [],
after: 1000,
before: 2000,
points: 100
}
}),
testChart = _makeTestChart.chart;
chart = testChart;
});
it("uses chart attributes as defaults", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee() {
var payload;
return _regeneratorRuntime().wrap(function _callee$(_context) {
while (1) switch (_context.prev = _context.next) {
case 0:
_context.next = 2;
return fetchCloudWeights(chart);
case 2:
expect(global.fetch).toHaveBeenCalledWith("https://api.netdata.cloud/weights", expect.objectContaining({
method: "POST",
body: expect.any(String)
}));
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.aggregations.metrics[0].group_by).toEqual(["dimension"]);
expect(payload.aggregations.metrics[0].aggregation).toBe("sum");
expect(payload.selectors.contexts).toEqual(["system.cpu"]);
case 7:
case "end":
return _context.stop();
}
}, _callee);
})));
it("overrides chart attributes with custom attrs", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee2() {
var payload;
return _regeneratorRuntime().wrap(function _callee2$(_context2) {
while (1) switch (_context2.prev = _context2.next) {
case 0:
_context2.next = 2;
return fetchCloudWeights(chart, {
attrs: {
groupBy: ["node", "instance"],
groupByLabel: ["custom_label"],
aggregationMethod: "avg",
after: 3000,
before: 4000,
points: 200
}
});
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.aggregations.metrics[0].group_by).toEqual(["node", "instance"]);
expect(payload.aggregations.metrics[0].group_by_label).toEqual(["custom_label"]);
expect(payload.aggregations.metrics[0].aggregation).toBe("avg");
expect(payload.window.after).toBe(3);
expect(payload.window.before).toBe(4);
expect(payload.window.points).toBe(200);
expect(payload.window.baseline.after).toBe(3);
expect(payload.window.baseline.before).toBe(4);
case 11:
case "end":
return _context2.stop();
}
}, _callee2);
})));
it("uses highlight window when provided with baseline fallback", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee3() {
var payload;
return _regeneratorRuntime().wrap(function _callee3$(_context3) {
while (1) switch (_context3.prev = _context3.next) {
case 0:
_context3.next = 2;
return fetchCloudWeights(chart, {
attrs: {
after: 1000,
before: 2000,
highlightAfter: 1500,
highlightBefore: 1800
}
});
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.window.after).toBe(1);
expect(payload.window.before).toBe(1);
expect(payload.window.baseline.after).toBe(1);
expect(payload.window.baseline.before).toBe(2);
case 7:
case "end":
return _context3.stop();
}
}, _callee3);
})));
it("falls back to main range when no highlight provided", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee4() {
var payload;
return _regeneratorRuntime().wrap(function _callee4$(_context4) {
while (1) switch (_context4.prev = _context4.next) {
case 0:
_context4.next = 2;
return fetchCloudWeights(chart, {
attrs: {
after: 3000,
before: 4000
}
});
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.window.after).toBe(3);
expect(payload.window.before).toBe(4);
expect(payload.window.baseline.after).toBe(3);
expect(payload.window.baseline.before).toBe(4);
case 7:
case "end":
return _context4.stop();
}
}, _callee4);
})));
it("handles weights-specific attributes", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee5() {
var payload;
return _regeneratorRuntime().wrap(function _callee5$(_context5) {
while (1) switch (_context5.prev = _context5.next) {
case 0:
_context5.next = 2;
return fetchCloudWeights(chart, {
attrs: {
method: "custom-method"
}
});
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.method).toBe("custom-method");
case 4:
case "end":
return _context5.stop();
}
}, _callee5);
})));
it("merges custom options with default options", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee6() {
var payload;
return _regeneratorRuntime().wrap(function _callee6$(_context6) {
while (1) switch (_context6.prev = _context6.next) {
case 0:
_context6.next = 2;
return fetchCloudWeights(chart, {
attrs: {
options: ["custom", "option"]
}
});
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.options).toContain("custom");
expect(payload.options).toContain("option");
expect(payload.options).toContain("minify");
expect(payload.options).toContain("nonzero");
expect(payload.options).toContain("unaligned");
case 8:
case "end":
return _context6.stop();
}
}, _callee6);
})));
it("uses default method when not provided", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee7() {
var payload;
return _regeneratorRuntime().wrap(function _callee7$(_context7) {
while (1) switch (_context7.prev = _context7.next) {
case 0:
_context7.next = 2;
return fetchCloudWeights(chart);
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.method).toBe("ks2");
case 4:
case "end":
return _context7.stop();
}
}, _callee7);
})));
it("includes timeout and default structure", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee8() {
var payload;
return _regeneratorRuntime().wrap(function _callee8$(_context8) {
while (1) switch (_context8.prev = _context8.next) {
case 0:
_context8.next = 2;
return fetchCloudWeights(chart);
case 2:
payload = JSON.parse(global.fetch.mock.calls[0][1].body);
expect(payload.timeout).toBe(180000);
expect(payload).toHaveProperty("selectors");
expect(payload).toHaveProperty("aggregations");
expect(payload).toHaveProperty("window");
expect(payload).toHaveProperty("scope");
case 8:
case "end":
return _context8.stop();
}
}, _callee8);
})));
it("passes through additional fetch options", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regeneratorRuntime().mark(function _callee9() {
var signal;
return _regeneratorRuntime().wrap(function _callee9$(_context9) {
while (1) switch (_context9.prev = _context9.next) {
case 0:
signal = new AbortController().signal;
_context9.next = 3;
return fetchCloudWeights(chart, {
signal: signal,
headers: {
"Custom-Header": "value"
}
});
case 3:
expect(global.fetch).toHaveBeenCalledWith("https://api.netdata.cloud/weights", expect.objectContaining({
method: "POST",
signal: signal,
headers: {
"Custom-Header": "value"
}
}));
case 4:
case "end":
return _context9.stop();
}
}, _callee9);
})));
});