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177 lines
4.9 KiB
TypeScript
177 lines
4.9 KiB
TypeScript
import InfluxDatasource from '../datasource';
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import { TemplateSrvStub } from 'test/specs/helpers';
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import { backendSrv } from 'app/core/services/backend_srv'; // will use the version in __mocks__
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import { of } from 'rxjs';
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import { FetchResponse } from '@grafana/runtime';
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//@ts-ignore
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const templateSrv = new TemplateSrvStub();
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jest.mock('@grafana/runtime', () => ({
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...((jest.requireActual('@grafana/runtime') as unknown) as object),
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getBackendSrv: () => backendSrv,
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}));
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describe('InfluxDataSource', () => {
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const ctx: any = {
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instanceSettings: { url: 'url', name: 'influxDb', jsonData: { httpMode: 'GET' } },
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};
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const fetchMock = jest.spyOn(backendSrv, 'fetch');
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beforeEach(() => {
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jest.clearAllMocks();
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ctx.instanceSettings.url = '/api/datasources/proxy/1';
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ctx.ds = new InfluxDatasource(ctx.instanceSettings, templateSrv);
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});
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describe('When issuing metricFindQuery', () => {
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const query = 'SELECT max(value) FROM measurement WHERE $timeFilter';
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const queryOptions: any = {
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range: {
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from: '2018-01-01T00:00:00Z',
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to: '2018-01-02T00:00:00Z',
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},
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};
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let requestQuery: any, requestMethod: any, requestData: any, response: any;
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beforeEach(async () => {
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fetchMock.mockImplementation((req: any) => {
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requestMethod = req.method;
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requestQuery = req.params.q;
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requestData = req.data;
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return of({
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data: {
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status: 'success',
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results: [
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{
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series: [
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{
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name: 'measurement',
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columns: ['name'],
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values: [['cpu']],
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},
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],
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},
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],
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},
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} as FetchResponse);
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});
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response = await ctx.ds.metricFindQuery(query, queryOptions);
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});
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it('should replace $timefilter', () => {
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expect(requestQuery).toMatch('time >= 1514764800000ms and time <= 1514851200000ms');
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});
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it('should use the HTTP GET method', () => {
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expect(requestMethod).toBe('GET');
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});
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it('should not have any data in request body', () => {
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expect(requestData).toBeNull();
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});
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it('parse response correctly', () => {
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expect(response).toEqual([{ text: 'cpu' }]);
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});
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});
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describe('When getting error on 200 after issuing a query', () => {
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const queryOptions: any = {
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range: {
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from: '2018-01-01T00:00:00Z',
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to: '2018-01-02T00:00:00Z',
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},
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rangeRaw: {
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from: '2018-01-01T00:00:00Z',
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to: '2018-01-02T00:00:00Z',
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},
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targets: [{}],
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timezone: 'UTC',
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scopedVars: {
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interval: { text: '1m', value: '1m' },
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__interval: { text: '1m', value: '1m' },
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__interval_ms: { text: 60000, value: 60000 },
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},
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};
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it('throws an error', async () => {
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fetchMock.mockImplementation((req: any) => {
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return of({
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data: {
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results: [
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{
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error: 'Query timeout',
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},
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],
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},
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} as FetchResponse);
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});
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try {
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await ctx.ds.query(queryOptions).toPromise();
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} catch (err) {
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expect(err.message).toBe('InfluxDB Error: Query timeout');
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}
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});
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});
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describe('InfluxDataSource in POST query mode', () => {
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const ctx: any = {
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instanceSettings: { url: 'url', name: 'influxDb', jsonData: { httpMode: 'POST' } },
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};
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beforeEach(() => {
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ctx.instanceSettings.url = '/api/datasources/proxy/1';
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ctx.ds = new InfluxDatasource(ctx.instanceSettings, templateSrv);
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});
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describe('When issuing metricFindQuery', () => {
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const query = 'SELECT max(value) FROM measurement';
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const queryOptions: any = {};
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let requestMethod: any, requestQueryParameter: any, queryEncoded: any, requestQuery: any;
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beforeEach(async () => {
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fetchMock.mockImplementation((req: any) => {
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requestMethod = req.method;
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requestQueryParameter = req.params;
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requestQuery = req.data;
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return of({
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data: {
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results: [
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{
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series: [
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{
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name: 'measurement',
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columns: ['max'],
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values: [[1]],
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},
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],
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},
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],
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},
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} as FetchResponse);
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});
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queryEncoded = await ctx.ds.serializeParams({ q: query });
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await ctx.ds.metricFindQuery(query, queryOptions).then(() => {});
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});
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it('should have the query form urlencoded', () => {
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expect(requestQuery).toBe(queryEncoded);
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});
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it('should use the HTTP POST method', () => {
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expect(requestMethod).toBe('POST');
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});
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it('should not have q as a query parameter', () => {
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expect(requestQueryParameter).not.toHaveProperty('q');
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});
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});
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});
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});
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