energylink/public/app/plugins/datasource/elasticsearch/specs/datasource.test.ts

import angular, { IQService } from 'angular';
import { dateMath } from '@grafana/data';
import _ from 'lodash';
import { ElasticDatasource, getMaxConcurrenShardRequestOrDefault } from '../datasource';
import { toUtc, dateTime } from '@grafana/data';
import { BackendSrv } from 'app/core/services/backend_srv';
import { TimeSrv } from 'app/features/dashboard/services/TimeSrv';
import { TemplateSrv } from 'app/features/templating/template_srv';
import { DataSourceInstanceSettings } from '@grafana/ui';
import { ElasticsearchOptions } from '../types';

describe('ElasticDatasource', function(this: any) {
  const backendSrv: any = {
    datasourceRequest: jest.fn(),
  };

  const $rootScope: any = {
    $on: jest.fn(),
    appEvent: jest.fn(),
  };

  const templateSrv: any = {
    replace: jest.fn(text => {
      if (text.startsWith('$')) {
        return `resolvedVariable`;
      } else {
        return text;
      }
    }),
    getAdhocFilters: jest.fn(() => []),
  };

  const timeSrv: any = {
    time: { from: 'now-1h', to: 'now' },
    timeRange: jest.fn(() => {
      return {
        from: dateMath.parse(timeSrv.time.from, false),
        to: dateMath.parse(timeSrv.time.to, true),
      };
    }),
    setTime: jest.fn(time => {
      this.time = time;
    }),
  };

  const ctx = {
    $rootScope,
    backendSrv,
  } as any;

  function createDatasource(instanceSettings: DataSourceInstanceSettings<ElasticsearchOptions>) {
    instanceSettings.jsonData = instanceSettings.jsonData || ({} as ElasticsearchOptions);
    ctx.ds = new ElasticDatasource(
      instanceSettings,
      {} as IQService,
      backendSrv as BackendSrv,
      templateSrv as TemplateSrv,
      timeSrv as TimeSrv
    );
  }

  describe('When testing datasource with index pattern', () => {
    beforeEach(() => {
      createDatasource({
        url: 'http://es.com',
        database: '[asd-]YYYY.MM.DD',
        jsonData: { interval: 'Daily', esVersion: 2 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);
    });

    it('should translate index pattern to current day', () => {
      let requestOptions: any;
      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        requestOptions = options;
        return Promise.resolve({ data: {} });
      });

      ctx.ds.testDatasource();

      const today = toUtc().format('YYYY.MM.DD');
      expect(requestOptions.url).toBe('http://es.com/asd-' + today + '/_mapping');
    });
  });

  describe('When issuing metric query with interval pattern', () => {
    let requestOptions: any, parts: any, header: any, query: any, result: any;

    beforeEach(async () => {
      createDatasource({
        url: 'http://es.com',
        database: '[asd-]YYYY.MM.DD',
        jsonData: { interval: 'Daily', esVersion: 2 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        requestOptions = options;
        return Promise.resolve({
          data: {
            responses: [
              {
                aggregations: {
                  '1': {
                    buckets: [
                      {
                        doc_count: 10,
                        key: 1000,
                      },
                    ],
                  },
                },
              },
            ],
          },
        });
      });

      query = {
        range: {
          from: toUtc([2015, 4, 30, 10]),
          to: toUtc([2015, 5, 1, 10]),
        },
        targets: [
          {
            alias: '$varAlias',
            bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '1' }],
            metrics: [{ type: 'count', id: '1' }],
            query: 'escape\\:test',
          },
        ],
      };

      result = await ctx.ds.query(query);

      parts = requestOptions.data.split('\n');
      header = angular.fromJson(parts[0]);
    });

    it('should translate index pattern to current day', () => {
      expect(header.index).toEqual(['asd-2015.05.30', 'asd-2015.05.31', 'asd-2015.06.01']);
    });

    it('should not resolve the variable in the original alias field in the query', () => {
      expect(query.targets[0].alias).toEqual('$varAlias');
    });

    it('should resolve the alias variable for the alias/target in the result', () => {
      expect(result.data[0].target).toEqual('resolvedVariable');
    });

    it('should json escape lucene query', () => {
      const body = angular.fromJson(parts[1]);
      expect(body.query.bool.filter[1].query_string.query).toBe('escape\\:test');
    });
  });

  describe('When issuing logs query with interval pattern', () => {
    let query, queryBuilderSpy: any;

    beforeEach(async () => {
      createDatasource({
        url: 'http://es.com',
        database: 'mock-index',
        jsonData: { interval: 'Daily', esVersion: 2, timeField: '@timestamp' } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        return Promise.resolve({
          data: {
            responses: [
              {
                aggregations: {
                  '2': {
                    buckets: [
                      {
                        doc_count: 10,
                        key: 1000,
                      },
                      {
                        doc_count: 15,
                        key: 2000,
                      },
                    ],
                  },
                },
                hits: {
                  hits: [
                    {
                      '@timestamp': ['2019-06-24T09:51:19.765Z'],
                      _id: 'fdsfs',
                      _type: '_doc',
                      _index: 'mock-index',
                      _source: {
                        '@timestamp': '2019-06-24T09:51:19.765Z',
                        host: 'djisaodjsoad',
                        message: 'hello, i am a message',
                      },
                      fields: {
                        '@timestamp': ['2019-06-24T09:51:19.765Z'],
                      },
                    },
                    {
                      '@timestamp': ['2019-06-24T09:52:19.765Z'],
                      _id: 'kdospaidopa',
                      _type: '_doc',
                      _index: 'mock-index',
                      _source: {
                        '@timestamp': '2019-06-24T09:52:19.765Z',
                        host: 'dsalkdakdop',
                        message: 'hello, i am also message',
                      },
                      fields: {
                        '@timestamp': ['2019-06-24T09:52:19.765Z'],
                      },
                    },
                  ],
                },
              },
            ],
          },
        });
      });

      query = {
        range: {
          from: toUtc([2015, 4, 30, 10]),
          to: toUtc([2019, 7, 1, 10]),
        },
        targets: [
          {
            alias: '$varAlias',
            refId: 'A',
            bucketAggs: [{ type: 'date_histogram', settings: { interval: 'auto' }, id: '2' }],
            metrics: [{ type: 'count', id: '1' }],
            query: 'escape\\:test',
            interval: '10s',
            isLogsQuery: true,
            timeField: '@timestamp',
          },
        ],
      };

      queryBuilderSpy = jest.spyOn(ctx.ds.queryBuilder, 'getLogsQuery');
      await ctx.ds.query(query);
    });

    it('should call getLogsQuery()', () => {
      expect(queryBuilderSpy).toHaveBeenCalled();
    });
  });

  describe('When issuing document query', () => {
    let requestOptions: any, parts: any, header: any;

    beforeEach(() => {
      createDatasource({
        url: 'http://es.com',
        database: 'test',
        jsonData: { esVersion: 2 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        requestOptions = options;
        return Promise.resolve({ data: { responses: [] } });
      });

      ctx.ds.query({
        range: {
          from: dateTime([2015, 4, 30, 10]),
          to: dateTime([2015, 5, 1, 10]),
        },
        targets: [
          {
            bucketAggs: [],
            metrics: [{ type: 'raw_document' }],
            query: 'test',
          },
        ],
      });

      parts = requestOptions.data.split('\n');
      header = angular.fromJson(parts[0]);
    });

    it('should set search type to query_then_fetch', () => {
      expect(header.search_type).toEqual('query_then_fetch');
    });

    it('should set size', () => {
      const body = angular.fromJson(parts[1]);
      expect(body.size).toBe(500);
    });
  });

  describe('When getting fields', () => {
    beforeEach(() => {
      createDatasource({
        url: 'http://es.com',
        database: 'metricbeat',
        jsonData: { esVersion: 50 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        return Promise.resolve({
          data: {
            metricbeat: {
              mappings: {
                metricsets: {
                  _all: {},
                  properties: {
                    '@timestamp': { type: 'date' },
                    beat: {
                      properties: {
                        name: {
                          fields: { raw: { type: 'keyword' } },
                          type: 'string',
                        },
                        hostname: { type: 'string' },
                      },
                    },
                    system: {
                      properties: {
                        cpu: {
                          properties: {
                            system: { type: 'float' },
                            user: { type: 'float' },
                          },
                        },
                        process: {
                          properties: {
                            cpu: {
                              properties: {
                                total: { type: 'float' },
                              },
                            },
                            name: { type: 'string' },
                          },
                        },
                      },
                    },
                  },
                },
              },
            },
          },
        });
      });
    });

    it('should return nested fields', async () => {
      const fieldObjects = await ctx.ds.getFields({
        find: 'fields',
        query: '*',
      });
      const fields = _.map(fieldObjects, 'text');
      expect(fields).toEqual([
        '@timestamp',
        'beat.name.raw',
        'beat.name',
        'beat.hostname',
        'system.cpu.system',
        'system.cpu.user',
        'system.process.cpu.total',
        'system.process.name',
      ]);
    });

    it('should return number fields', async () => {
      const fieldObjects = await ctx.ds.getFields({
        find: 'fields',
        query: '*',
        type: 'number',
      });

      const fields = _.map(fieldObjects, 'text');
      expect(fields).toEqual(['system.cpu.system', 'system.cpu.user', 'system.process.cpu.total']);
    });

    it('should return date fields', async () => {
      const fieldObjects = await ctx.ds.getFields({
        find: 'fields',
        query: '*',
        type: 'date',
      });

      const fields = _.map(fieldObjects, 'text');
      expect(fields).toEqual(['@timestamp']);
    });
  });

  describe('When getting fields from ES 7.0', () => {
    beforeEach(() => {
      createDatasource({
        url: 'http://es.com',
        database: 'genuine.es7._mapping.response',
        jsonData: { esVersion: 70 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        return Promise.resolve({
          data: {
            'genuine.es7._mapping.response': {
              mappings: {
                properties: {
                  '@timestamp_millis': {
                    type: 'date',
                    format: 'epoch_millis',
                  },
                  classification_terms: {
                    type: 'keyword',
                  },
                  domains: {
                    type: 'keyword',
                  },
                  ip_address: {
                    type: 'ip',
                  },
                  justification_blob: {
                    properties: {
                      criterion: {
                        type: 'text',
                        fields: {
                          keyword: {
                            type: 'keyword',
                            ignore_above: 256,
                          },
                        },
                      },
                      overall_vote_score: {
                        type: 'float',
                      },
                      shallow: {
                        properties: {
                          jsi: {
                            properties: {
                              sdb: {
                                properties: {
                                  dsel2: {
                                    properties: {
                                      'bootlegged-gille': {
                                        properties: {
                                          botness: {
                                            type: 'float',
                                          },
                                          general_algorithm_score: {
                                            type: 'float',
                                          },
                                        },
                                      },
                                      'uncombed-boris': {
                                        properties: {
                                          botness: {
                                            type: 'float',
                                          },
                                          general_algorithm_score: {
                                            type: 'float',
                                          },
                                        },
                                      },
                                    },
                                  },
                                },
                              },
                            },
                          },
                        },
                      },
                    },
                  },
                  overall_vote_score: {
                    type: 'float',
                  },
                  ua_terms_long: {
                    type: 'keyword',
                  },
                  ua_terms_short: {
                    type: 'keyword',
                  },
                },
              },
            },
          },
        });
      });
    });

    it('should return nested fields', async () => {
      const fieldObjects = await ctx.ds.getFields({
        find: 'fields',
        query: '*',
      });

      const fields = _.map(fieldObjects, 'text');
      expect(fields).toEqual([
        '@timestamp_millis',
        'classification_terms',
        'domains',
        'ip_address',
        'justification_blob.criterion.keyword',
        'justification_blob.criterion',
        'justification_blob.overall_vote_score',
        'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.botness',
        'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.general_algorithm_score',
        'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.botness',
        'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.general_algorithm_score',
        'overall_vote_score',
        'ua_terms_long',
        'ua_terms_short',
      ]);
    });

    it('should return number fields', async () => {
      const fieldObjects = await ctx.ds.getFields({
        find: 'fields',
        query: '*',
        type: 'number',
      });

      const fields = _.map(fieldObjects, 'text');
      expect(fields).toEqual([
        'justification_blob.overall_vote_score',
        'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.botness',
        'justification_blob.shallow.jsi.sdb.dsel2.bootlegged-gille.general_algorithm_score',
        'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.botness',
        'justification_blob.shallow.jsi.sdb.dsel2.uncombed-boris.general_algorithm_score',
        'overall_vote_score',
      ]);
    });

    it('should return date fields', async () => {
      const fieldObjects = await ctx.ds.getFields({
        find: 'fields',
        query: '*',
        type: 'date',
      });

      const fields = _.map(fieldObjects, 'text');
      expect(fields).toEqual(['@timestamp_millis']);
    });
  });

  describe('When issuing aggregation query on es5.x', () => {
    let requestOptions: any, parts: any, header: any;

    beforeEach(() => {
      createDatasource({
        url: 'http://es.com',
        database: 'test',
        jsonData: { esVersion: 5 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        requestOptions = options;
        return Promise.resolve({ data: { responses: [] } });
      });

      ctx.ds.query({
        range: {
          from: dateTime([2015, 4, 30, 10]),
          to: dateTime([2015, 5, 1, 10]),
        },
        targets: [
          {
            bucketAggs: [{ type: 'date_histogram', field: '@timestamp', id: '2' }],
            metrics: [{ type: 'count' }],
            query: 'test',
          },
        ],
      });

      parts = requestOptions.data.split('\n');
      header = angular.fromJson(parts[0]);
    });

    it('should not set search type to count', () => {
      expect(header.search_type).not.toEqual('count');
    });

    it('should set size to 0', () => {
      const body = angular.fromJson(parts[1]);
      expect(body.size).toBe(0);
    });
  });

  describe('When issuing metricFind query on es5.x', () => {
    let requestOptions: any, parts, header: any, body: any, results: any;

    beforeEach(() => {
      createDatasource({
        url: 'http://es.com',
        database: 'test',
        jsonData: { esVersion: 5 } as ElasticsearchOptions,
      } as DataSourceInstanceSettings<ElasticsearchOptions>);

      ctx.backendSrv.datasourceRequest = jest.fn(options => {
        requestOptions = options;
        return Promise.resolve({
          data: {
            responses: [
              {
                aggregations: {
                  '1': {
                    buckets: [
                      { doc_count: 1, key: 'test' },
                      {
                        doc_count: 2,
                        key: 'test2',
                        key_as_string: 'test2_as_string',
                      },
                    ],
                  },
                },
              },
            ],
          },
        });
      });

      ctx.ds.metricFindQuery('{"find": "terms", "field": "test"}').then((res: any) => {
        results = res;
      });

      parts = requestOptions.data.split('\n');
      header = angular.fromJson(parts[0]);
      body = angular.fromJson(parts[1]);
    });

    it('should get results', () => {
      expect(results.length).toEqual(2);
    });

    it('should use key or key_as_string', () => {
      expect(results[0].text).toEqual('test');
      expect(results[1].text).toEqual('test2_as_string');
    });

    it('should not set search type to count', () => {
      expect(header.search_type).not.toEqual('count');
    });

    it('should set size to 0', () => {
      expect(body.size).toBe(0);
    });

    it('should not set terms aggregation size to 0', () => {
      expect(body['aggs']['1']['terms'].size).not.toBe(0);
    });
  });
});

describe('getMaxConcurrenShardRequestOrDefault', () => {
  const testCases = [
    { version: 50, expectedMaxConcurrentShardRequests: 256 },
    { version: 50, maxConcurrentShardRequests: 50, expectedMaxConcurrentShardRequests: 50 },
    { version: 56, expectedMaxConcurrentShardRequests: 256 },
    { version: 56, maxConcurrentShardRequests: 256, expectedMaxConcurrentShardRequests: 256 },
    { version: 56, maxConcurrentShardRequests: 5, expectedMaxConcurrentShardRequests: 256 },
    { version: 56, maxConcurrentShardRequests: 200, expectedMaxConcurrentShardRequests: 200 },
    { version: 70, expectedMaxConcurrentShardRequests: 5 },
    { version: 70, maxConcurrentShardRequests: 256, expectedMaxConcurrentShardRequests: 5 },
    { version: 70, maxConcurrentShardRequests: 5, expectedMaxConcurrentShardRequests: 5 },
    { version: 70, maxConcurrentShardRequests: 6, expectedMaxConcurrentShardRequests: 6 },
  ];

  testCases.forEach(tc => {
    it(`version = ${tc.version}, maxConcurrentShardRequests = ${tc.maxConcurrentShardRequests}`, () => {
      const options = { esVersion: tc.version, maxConcurrentShardRequests: tc.maxConcurrentShardRequests };
      expect(getMaxConcurrenShardRequestOrDefault(options as ElasticsearchOptions)).toBe(
        tc.expectedMaxConcurrentShardRequests
      );
    });
  });
});