@netdata/charts
Version:
Netdata frontend SDK and chart utilities
274 lines • 16.7 kB
JavaScript
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import React from "react";
import { fireEvent, screen, waitFor } from "@testing-library/react";
import "@testing-library/jest-dom";
import { Box } from "@netdata/netdata-ui";
import { makeTestChart, renderWithChart } from "@jest/testUtilities";
import CorrelationTable from "./table";
import { jsx as _jsx } from "react/jsx-runtime";
var makeDimension = function makeDimension(contextIndex, dimensionIndex) {
var overrides = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : {};
return _objectSpread({
rowId: JSON.stringify(["dimension", contextIndex, dimensionIndex]),
kind: "dimension",
dimension: "dimension-".concat(contextIndex, "-").concat(String(dimensionIndex).padStart(5, "0")),
dimensionName: "Dimension ".concat(contextIndex, "-").concat(dimensionIndex),
context: "context-".concat(contextIndex),
contextName: "Context ".concat(contextIndex),
nodeId: "node-".concat(dimensionIndex),
nodeName: "Node ".concat(dimensionIndex),
correlationWeight: 0.005,
correlationStrength: "Strong",
percentChange: 5
}, overrides);
};
var makeData = function makeData(contextCount) {
return Array.from({
length: contextCount
}, function (_, contextIndex) {
return {
rowId: JSON.stringify(["context", contextIndex]),
kind: "context",
context: "context-".concat(contextIndex),
contextName: "Context ".concat(contextIndex),
minWeight: 0.005,
count: 2,
children: [makeDimension(contextIndex, 0), makeDimension(contextIndex, 1)]
};
});
};
describe("CorrelationTable", function () {
it("virtualizes high-cardinality rows and persists expansion in chart attributes", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee() {
var data, _renderWithChart, chart, user;
return _regenerator().w(function (_context) {
while (1) switch (_context.n) {
case 0:
data = makeData(1000);
_renderWithChart = renderWithChart(/*#__PURE__*/_jsx(Box, {
height: "400px",
children: /*#__PURE__*/_jsx(CorrelationTable, {
data: data
})
}), {
attributes: {
correlate: {
expanded: {}
}
}
}), chart = _renderWithChart.chart, user = _renderWithChart.user;
expect(screen.getByText("Found 2000 correlated dimensions across 1000 contexts")).toBeInTheDocument();
_context.n = 1;
return waitFor(function () {
var renderedRows = screen.queryAllByTestId("netdata-table-row");
expect(renderedRows.length).toBeGreaterThan(0);
expect(renderedRows.length).toBeLessThan(data.length);
});
case 1:
_context.n = 2;
return user.click(screen.getByRole("button", {
name: "Expand all"
}));
case 2:
expect(chart.getAttribute("correlate.expanded")).toBe(true);
expect(screen.queryAllByTestId("netdata-table-row").length).toBeLessThan(3000);
case 3:
return _context.a(2);
}
}, _callee);
})));
it("fetches and renders trends only for the visible batch", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee3() {
var children, data, requests, _makeTestChart, sdk, chart, _renderWithChart2, user, table;
return _regenerator().w(function (_context3) {
while (1) switch (_context3.n) {
case 0:
children = Array.from({
length: 5000
}, function (_, index) {
return makeDimension(0, index, {
nodeId: "shared-node"
});
});
data = [{
rowId: JSON.stringify(["context", 0]),
kind: "context",
context: "context-0",
contextName: "Context 0",
minWeight: 0.005,
count: children.length,
children: children
}];
requests = [];
_makeTestChart = makeTestChart({
attributes: {
after: 100,
before: 200,
correlate: {
expanded: {}
},
points: 300
}
}), sdk = _makeTestChart.sdk, chart = _makeTestChart.chart;
chart.getChart = /*#__PURE__*/function () {
var _ref3 = _asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee2(requestChart) {
var dimensions;
return _regenerator().w(function (_context2) {
while (1) switch (_context2.n) {
case 0:
dimensions = requestChart.getAttribute("selectedDimensions");
requests.push(dimensions);
return _context2.a(2, {
view: {
dimensions: {
units: dimensions.map(function () {
return "requests/s";
})
}
},
result: {
labels: ["time"].concat(_toConsumableArray(dimensions)),
point: {
value: 0
},
data: [[1000].concat(_toConsumableArray(dimensions.map(function (dimension, index) {
return [index + 1];
}))), [1005].concat(_toConsumableArray(dimensions.map(function (dimension, index) {
return [index + 2];
})))]
}
});
}
}, _callee2);
}));
return function (_x) {
return _ref3.apply(this, arguments);
};
}();
_renderWithChart2 = renderWithChart(/*#__PURE__*/_jsx(Box, {
height: "400px",
children: /*#__PURE__*/_jsx(CorrelationTable, {
data: data
})
}), {
chart: chart
}), user = _renderWithChart2.user;
_context3.n = 1;
return user.click(screen.getByRole("button", {
name: "Expand all"
}));
case 1:
table = screen.getByTestId("netdata-table");
table.scrollTop = 35;
fireEvent.scroll(table);
_context3.n = 2;
return waitFor(function () {
return expect(screen.getAllByRole("img", {
name: "Metric trend"
})).not.toHaveLength(0);
});
case 2:
_context3.n = 3;
return waitFor(function () {
return expect(requests).toHaveLength(1);
});
case 3:
expect(requests[0]).toHaveLength(50);
expect(screen.getAllByRole("img", {
name: "Metric trend"
}).length).toBeLessThan(children.length);
expect(sdk.getRoot().getChildren()).toEqual([chart]);
case 4:
return _context3.a(2);
}
}, _callee3);
})));
it("searches visible metric identity text and ignores raw measurements", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee4() {
var originalExpanded, data, _renderWithChart3, chart, user, search, filteredSearch;
return _regenerator().w(function (_context4) {
while (1) switch (_context4.n) {
case 0:
originalExpanded = {
preserved: true
};
data = [{
rowId: JSON.stringify(["context", "shared"]),
kind: "context",
context: "shared.context",
contextName: "Shared context",
minWeight: 0.005,
count: 2,
children: [makeDimension(0, 0, {
dimension: "target-dimension",
dimensionName: "Target metric",
context: "target.context",
contextName: "Shared context",
nodeId: "target-node-id",
nodeName: "Target node",
correlationWeight: 0.005
}), makeDimension(0, 1, {
dimension: "other-dimension",
dimensionName: "Other metric",
context: "other.context",
contextName: "Shared context",
nodeId: "other-node-id",
nodeName: "Other node",
correlationWeight: 0.007
})]
}];
_renderWithChart3 = renderWithChart(/*#__PURE__*/_jsx(Box, {
height: "400px",
children: /*#__PURE__*/_jsx(CorrelationTable, {
data: data
})
}), {
attributes: {
correlate: {
expanded: originalExpanded,
search: ""
}
}
}), chart = _renderWithChart3.chart, user = _renderWithChart3.user;
search = screen.getByPlaceholderText("Search");
_context4.n = 1;
return user.type(search, "Target node");
case 1:
_context4.n = 2;
return waitFor(function () {
return expect(screen.getByText("Target metric")).toBeInTheDocument();
});
case 2:
expect(screen.getByTestId("drawer-value-unit-detail")).toHaveTextContent("Strong");
expect(screen.queryByText("Other metric")).not.toBeInTheDocument();
expect(chart.getAttribute("correlate.expanded")).toEqual(originalExpanded);
filteredSearch = screen.getByPlaceholderText("Search");
expect(filteredSearch).toHaveFocus();
_context4.n = 3;
return user.clear(filteredSearch);
case 3:
_context4.n = 4;
return user.type(filteredSearch, "0.005");
case 4:
_context4.n = 5;
return waitFor(function () {
return expect(screen.queryByText("Shared context")).not.toBeInTheDocument();
});
case 5:
return _context4.a(2);
}
}, _callee4);
})));
});