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import { shallowMount } from '@vue/test-utils';
import AxiosMockAdapter from 'axios-mock-adapter';
import { setTestTimeout } from 'helpers/timeout';
import axios from '~/lib/utils/axios_utils';
import PanelType from '~/monitoring/components/panel_type.vue';
import EmptyChart from '~/monitoring/components/charts/empty_chart.vue';
import TimeSeriesChart from '~/monitoring/components/charts/time_series.vue';
import AnomalyChart from '~/monitoring/components/charts/anomaly.vue';
import { graphDataPrometheusQueryRange } from '../../javascripts/monitoring/mock_data';
import { anomalyMockGraphData } from '../../frontend/monitoring/mock_data';
import { createStore } from '~/monitoring/stores';
global.IS_EE = true;
global.URL.createObjectURL = jest.fn();
describe('Panel Type component', () => {
let axiosMock;
let store;
let panelType;
const dashboardWidth = 100;
const exampleText = 'example_text';
const createWrapper = props =>
shallowMount(PanelType, {
propsData: {
...props,
},
store,
sync: false,
attachToDocument: true,
});
beforeEach(() => {
setTestTimeout(1000);
axiosMock = new AxiosMockAdapter(axios);
});
afterEach(() => {
axiosMock.reset();
});
describe('When no graphData is available', () => {
let glEmptyChart;
// Deep clone object before modifying
const graphDataNoResult = JSON.parse(JSON.stringify(graphDataPrometheusQueryRange));
graphDataNoResult.metrics[0].result = [];
beforeEach(() => {
panelType = createWrapper({
dashboardWidth,
graphData: graphDataNoResult,
});
});
afterEach(() => {
panelType.destroy();
});
describe('Empty Chart component', () => {
beforeEach(() => {
glEmptyChart = panelType.find(EmptyChart);
});
it('is a Vue instance', () => {
expect(glEmptyChart.isVueInstance()).toBe(true);
});
it('it receives a graph title', () => {
const props = glEmptyChart.props();
expect(props.graphTitle).toBe(panelType.vm.graphData.title);
});
});
});
describe('when graph data is available', () => {
beforeEach(() => {
store = createStore();
panelType = createWrapper({
dashboardWidth,
graphData: graphDataPrometheusQueryRange,
});
});
afterEach(() => {
panelType.destroy();
});
it('sets no clipboard copy link on dropdown by default', () => {
const link = () => panelType.find('.js-chart-link');
expect(link().exists()).toBe(false);
});
describe('Time Series Chart panel type', () => {
it('is rendered', () => {
expect(panelType.find(TimeSeriesChart).isVueInstance()).toBe(true);
expect(panelType.find(TimeSeriesChart).exists()).toBe(true);
});
it('includes a default group id', () => {
expect(panelType.vm.groupId).toBe('panel-type-chart');
});
});
describe('Anomaly Chart panel type', () => {
beforeEach(done => {
panelType.setProps({
graphData: anomalyMockGraphData,
});
panelType.vm.$nextTick(done);
});
it('is rendered with an anomaly chart', () => {
expect(panelType.find(AnomalyChart).isVueInstance()).toBe(true);
expect(panelType.find(AnomalyChart).exists()).toBe(true);
});
});
});
describe('when cliboard data is available', () => {
const clipboardText = 'A value to copy.';
beforeEach(() => {
store = createStore();
panelType = createWrapper({
clipboardText,
dashboardWidth,
graphData: graphDataPrometheusQueryRange,
});
});
afterEach(() => {
panelType.destroy();
});
it('sets clipboard text on the dropdown', () => {
const link = () => panelType.find('.js-chart-link');
expect(link().exists()).toBe(true);
expect(link().element.dataset.clipboardText).toBe(clipboardText);
});
});
describe('when downloading metrics data as CSV', () => {
beforeEach(done => {
graphDataPrometheusQueryRange.y_label = 'metric';
store = createStore();
panelType = shallowMount(PanelType, {
propsData: {
clipboardText: exampleText,
dashboardWidth,
graphData: graphDataPrometheusQueryRange,
},
store,
sync: false,
attachToDocument: true,
});
panelType.vm.$nextTick(done);
});
afterEach(() => {
panelType.destroy();
});
describe('csvText', () => {
it('converts metrics data from json to csv', () => {
const header = `timestamp,${graphDataPrometheusQueryRange.y_label}`;
const data = graphDataPrometheusQueryRange.metrics[0].result[0].values;
const firstRow = `${data[0][0]},${data[0][1]}`;
const secondRow = `${data[1][0]},${data[1][1]}`;
expect(panelType.vm.csvText).toBe(`${header}\r\n${firstRow}\r\n${secondRow}\r\n`);
});
});
describe('downloadCsv', () => {
it('produces a link with a Blob', () => {
expect(global.URL.createObjectURL).toHaveBeenLastCalledWith(expect.any(Blob));
expect(global.URL.createObjectURL).toHaveBeenLastCalledWith(
expect.objectContaining({
size: panelType.vm.csvText.length,
type: 'text/plain',
}),
);
});
});
});
});
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