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@netdata/charts

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Netdata frontend SDK and chart utilities

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"symbol" : typeof o; }, _typeof(o); } var _react = _interopRequireDefault(require("react")); var _react2 = require("@testing-library/react"); require("@testing-library/jest-dom"); var _testUtilities = require("@jest/testUtilities"); var _dimensions = _interopRequireWildcard(require("./dimensions")); var _layout = require("./layout"); var _jsxRuntime = require("react/jsx-runtime"); function _interopRequireWildcard(e, t) { if ("function" == typeof WeakMap) var r = new WeakMap(), n = new WeakMap(); return (_interopRequireWildcard = function _interopRequireWildcard(e, t) { if (!t && e && e.__esModule) return e; var o, i, f = { __proto__: null, "default": e }; if (null === e || "object" != _typeof(e) && "function" != typeof e) return f; if (o = t ? n : r) { if (o.has(e)) return o.get(e); o.set(e, f); } for (var _t in e) "default" !== _t && {}.hasOwnProperty.call(e, _t) && ((i = (o = Object.defineProperty) && Object.getOwnPropertyDescriptor(e, _t)) && (i.get || i.set) ? o(f, _t, i) : f[_t] = e[_t]); return f; })(e, t); } function _interopRequireDefault(e) { return e && e.__esModule ? e : { "default": e }; } function _regenerator() { /*! regenerator-runtime -- Copyright (c) 2014-present, Facebook, Inc. -- license (MIT): https://github.com/babel/babel/blob/main/packages/babel-helpers/LICENSE */ var e, t, r = "function" == typeof Symbol ? 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"requests/s" : _ref2$units; payload = (0, _testUtilities.makeHeatmapPayload)(ids, rows); payload.view.chart_type = "line"; payload.view.units = units; payload.view.dimensions.grouped_by = []; payload.view.dimensions.units = ids.map(function () { return units; }); chart.doneFetch(payload); _context.n = 1; return new Promise(function (resolve) { return setTimeout(resolve, 0); }); case 1: return _context.a(2); } }, _callee); })); return function loadLinePayload(_x, _x2, _x3) { return _ref.apply(this, arguments); }; }(); describe("line popover Dimensions", function () { it("shows all cropped heatmap buckets without generic more-values windowing", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee2() { var ids, row, _makeTestChart, chart; return _regenerator().w(function (_context2) { while (1) switch (_context2.n) { case 0: ids = Array.from({ length: 14 }, function (_, index) { return String(index); }); row = ids.map(function (_, index) { return index > 1 && index < 12 ? 1 : 0; }); _makeTestChart = (0, _testUtilities.makeTestChart)({ attributes: { chartType: "heatmap", groupBy: ["dimension"], selectedDimensions: [], selectedLegendDimensions: [] } }), chart = _makeTestChart.chart; _context2.n = 1; return (0, _testUtilities.loadHeatmapPayload)(chart, ids, [row]); case 1: chart.updateAttribute("hoverX", [1000, "6"]); (0, _testUtilities.renderWithChart)(/*#__PURE__*/(0, _jsxRuntime.jsx)(_dimensions["default"], {}), { chart: chart }); expect(chart.getVisibleHeatmapIds()).toEqual(ids.slice(1, 13)); expect(_react2.screen.queryByText(/more values/)).not.toBeInTheDocument(); expect(_react2.screen.getAllByTestId("chartPopover-dimension")).toHaveLength(12); expect(_react2.screen.getAllByTestId("chartDimensions-name").map(function (node) { return node.textContent; })).toEqual(ids.slice(1, 13)); case 2: return _context2.a(2); } }, _callee2); }))); it("keeps generic more-values windowing for non-heatmap popovers", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee3() { var ids, _makeTestChart2, chart; return _regenerator().w(function (_context3) { while (1) switch (_context3.n) { case 0: ids = Array.from({ length: 12 }, function (_, index) { return "dim".concat(index); }); _makeTestChart2 = (0, _testUtilities.makeTestChart)({ attributes: { chartType: "line", groupBy: [], selectedDimensions: [], selectedLegendDimensions: [] } }), chart = _makeTestChart2.chart; _context3.n = 1; return loadLinePayload(chart, ids, [ids.map(function (_, index) { return index; })]); case 1: chart.updateAttribute("hoverX", [1000, "not-a-dimension"]); (0, _testUtilities.renderWithChart)(/*#__PURE__*/(0, _jsxRuntime.jsx)(_dimensions["default"], {}), { chart: chart }); expect(_react2.screen.getByText(/more values/)).toBeInTheDocument(); expect(_react2.screen.getAllByTestId("chartPopover-dimension")).toHaveLength(10); case 2: return _context3.a(2); } }, _callee3); }))); it("uses fixed compact side columns for regular value popovers", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee4() { var ids, _makeTestChart3, chart, layout; return _regenerator().w(function (_context4) { while (1) switch (_context4.n) { case 0: ids = ["very-long-dimension-name-that-should-not-expand-the-popover"]; _makeTestChart3 = (0, _testUtilities.makeTestChart)({ attributes: { chartType: "line", groupBy: [], selectedDimensions: [], selectedLegendDimensions: [] } }), chart = _makeTestChart3.chart; _context4.n = 1; return loadLinePayload(chart, ids, [[1]]); case 1: chart.updateAttribute("hoverX", [1000, ids[0]]); (0, _testUtilities.renderWithChart)(/*#__PURE__*/(0, _jsxRuntime.jsx)(_dimensions["default"], {}), { chart: chart }); layout = getExpectedLayout(ids, _layout.popoverGridColumns.info); expect(_react2.screen.getByTestId("chartPopover-grid")).toHaveStyle("grid-template-columns: ".concat(layout.gridColumns)); expect(_react2.screen.getByTestId("chartPopover-dimensions")).toHaveStyle("width: ".concat(layout.popoverWidth, "px")); expect(_react2.screen.getByTestId("chartPopover-dimensionNameCell")).toHaveStyle("min-width: ".concat(_layout.popoverGridColumns.dimensionMin)); case 2: return _context4.a(2); } }, _callee4); }))); it("renders the formatted value and unit in separate popover cells", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee5() { var ids, _makeTestChart4, chart, valueCell, unitCell, unit; return _regenerator().w(function (_context5) { while (1) switch (_context5.n) { case 0: ids = ["bytes"]; _makeTestChart4 = (0, _testUtilities.makeTestChart)({ attributes: { chartType: "line", groupBy: [], selectedDimensions: [], selectedLegendDimensions: [] } }), chart = _makeTestChart4.chart; _context5.n = 1; return loadLinePayload(chart, ids, [[1024]], { units: "By" }); case 1: chart.updateAttribute("hoverX", [1000, ids[0]]); (0, _testUtilities.renderWithChart)(/*#__PURE__*/(0, _jsxRuntime.jsx)(_dimensions["default"], {}), { chart: chart }); valueCell = _react2.screen.getAllByTestId("chartDimensions-value")[0]; unitCell = _react2.screen.getByTestId("chartPopover-dimensionUnitCell"); unit = _react2.screen.getByTestId("chartDimensions-units"); expect(valueCell).toHaveTextContent("1"); expect(unit).toHaveTextContent("KiB"); expect(unitCell).toContainElement(unit); case 2: return _context5.a(2); } }, _callee5); }))); it("renders context, source units, timestamp, and both granularities in the header", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee6() { var ids, context, _makeTestChart5, chart, payload; return _regenerator().w(function (_context6) { while (1) switch (_context6.n) { case 0: ids = ["latency"]; context = "storybook.units_scaling.really.long.context"; _makeTestChart5 = (0, _testUtilities.makeTestChart)({ attributes: { chartType: "line", contextScope: [context], groupingMethod: "avg", groupBy: [], selectedDimensions: [], selectedLegendDimensions: [] } }), chart = _makeTestChart5.chart; payload = (0, _testUtilities.makeHeatmapPayload)(ids, [[1]], { timestamp: 1000 }); payload.db.update_every = 5; payload.view.chart_type = "line"; payload.view.update_every = 60; payload.view.units = "KiB"; payload.view.dimensions.grouped_by = []; payload.view.dimensions.units = ids.map(function () { return "KiB"; }); chart.doneFetch(payload); _context6.n = 1; return new Promise(function (resolve) { return setTimeout(resolve, 0); }); case 1: chart.updateAttribute("hoverX", [1000, ids[0]]); (0, _testUtilities.renderWithChart)(/*#__PURE__*/(0, _jsxRuntime.jsx)(_dimensions["default"], {}), { chart: chart }); expect(_react2.screen.getByTestId("chartPopover-context")).toHaveTextContent(context); expect(_react2.screen.getByTestId("chartPopover-sourceUnits")).toHaveTextContent("[bytes]"); expect(_react2.screen.getByTestId("chartPopover-timestamp")).not.toBeEmptyDOMElement(); expect(_react2.screen.getByText("Granularity:")).toBeInTheDocument(); expect(_react2.screen.getByText("5s")).toBeInTheDocument(); expect(_react2.screen.getByText("View point:")).toBeInTheDocument(); expect(_react2.screen.getByText("avg 60s")).toBeInTheDocument(); case 2: return _context6.a(2); } }, _callee6); }))); it("uses the wider fixed info column for annotation popovers", /*#__PURE__*/_asyncToGenerator(/*#__PURE__*/_regenerator().m(function _callee7() { var ids, _makeTestChart6, chart, layout; return _regenerator().w(function (_context7) { while (1) switch (_context7.n) { case 0: ids = ["dim0"]; _makeTestChart6 = (0, _testUtilities.makeTestChart)({ attributes: { chartType: "line", groupBy: [], selectedDimensions: [], selectedLegendDimensions: [] } }), chart = _makeTestChart6.chart; _context7.n = 1; return loadLinePayload(chart, ids, [[1]]); case 1: chart.updateAttribute("hoverX", [1000, _dimensions.rowFlavours.ANNOTATIONS]); (0, _testUtilities.renderWithChart)(/*#__PURE__*/(0, _jsxRuntime.jsx)(_dimensions["default"], {}), { chart: chart }); layout = getExpectedLayout(ids, _layout.popoverGridColumns.annotationsInfo); expect(_react2.screen.getByTestId("chartPopover-grid")).toHaveStyle("grid-template-columns: ".concat(layout.gridColumns)); expect(_react2.screen.getByTestId("chartPopover-dimensions")).toHaveStyle("width: ".concat(layout.popoverWidth, "px")); case 2: return _context7.a(2); } }, _callee7); }))); });