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87 lines
3.0 KiB
TypeScript
87 lines
3.0 KiB
TypeScript
/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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*/
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import { QueryFormData } from '@superset-ui/core';
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import buildQuery from './buildQuery';
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jest.mock('@superset-ui/core', () => ({
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...jest.requireActual('@superset-ui/core'),
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getXAxisColumn: jest.fn(() => 'order_date'),
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isXAxisSet: jest.fn(() => true),
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}));
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jest.mock('@superset-ui/chart-controls', () => ({
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pivotOperator: jest.fn(() => ({ operation: 'pivot' })),
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aggregationOperator: jest.fn(formData => {
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if (formData.aggregation === 'LAST_VALUE' || !formData.aggregation) {
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return undefined;
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}
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return {
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operation: 'aggregation',
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options: { operator: formData.aggregation },
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};
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}),
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flattenOperator: jest.fn(() => ({ operation: 'flatten' })),
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resampleOperator: jest.fn(() => ({ operation: 'resample' })),
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rollingWindowOperator: jest.fn(() => ({ operation: 'rolling' })),
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}));
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describe('BigNumberWithTrendline buildQuery', () => {
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const baseFormData: QueryFormData = {
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datasource: '1__table',
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viz_type: 'big_number',
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metric: 'custom_metric',
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aggregation: null,
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};
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it('creates raw metric query when aggregation is null', () => {
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const queryContext = buildQuery({ ...baseFormData });
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const bigNumberQuery = queryContext.queries[1];
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expect(bigNumberQuery.post_processing).toEqual([{ operation: 'pivot' }]);
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expect(bigNumberQuery.is_timeseries).toBe(true);
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});
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it('adds aggregation operator when aggregation is "sum"', () => {
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const queryContext = buildQuery({ ...baseFormData, aggregation: 'sum' });
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const bigNumberQuery = queryContext.queries[1];
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expect(bigNumberQuery.post_processing).toEqual([
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{ operation: 'pivot' },
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{ operation: 'aggregation', options: { operator: 'sum' } },
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]);
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expect(bigNumberQuery.is_timeseries).toBe(true);
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});
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it('skips aggregation when aggregation is LAST_VALUE', () => {
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const queryContext = buildQuery({
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...baseFormData,
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aggregation: 'LAST_VALUE',
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});
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const bigNumberQuery = queryContext.queries[1];
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expect(bigNumberQuery.post_processing).toEqual([{ operation: 'pivot' }]);
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expect(bigNumberQuery.is_timeseries).toBe(true);
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});
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it('always returns two queries', () => {
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const queryContext = buildQuery({ ...baseFormData });
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expect(queryContext.queries.length).toBe(2);
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});
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});
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