superset/superset-frontend/packages/superset-ui-core/test/query/normalizeTimeColumn.test.ts

/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
import {
  normalizeTimeColumn,
  QueryObject,
  SqlaFormData,
} from '@superset-ui/core';

test('should return original QueryObject if x_axis is empty', () => {
  const formData: SqlaFormData = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    time_grain_sqla: 'P1Y',
    time_range: '1 year ago : 2013',
    columns: ['col1'],
    metrics: ['count(*)'],
  };
  const query: QueryObject = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    extras: {
      time_grain_sqla: 'P1Y',
    },
    time_range: '1 year ago : 2013',
    orderby: [['count(*)', true]],
    columns: ['col1'],
    metrics: ['count(*)'],
    is_timeseries: true,
  };
  expect(normalizeTimeColumn(formData, query)).toEqual(query);
});

test('should support different columns for x-axis and granularity', () => {
  const formData: SqlaFormData = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    time_grain_sqla: 'P1Y',
    time_range: '1 year ago : 2013',
    x_axis: 'time_column_in_x_axis',
    columns: ['col1'],
    metrics: ['count(*)'],
  };
  const query: QueryObject = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    extras: {
      time_grain_sqla: 'P1Y',
      where: '',
      having: '',
    },
    time_range: '1 year ago : 2013',
    orderby: [['count(*)', true]],
    columns: ['time_column_in_x_axis', 'col1'],
    metrics: ['count(*)'],
    is_timeseries: true,
  };
  expect(normalizeTimeColumn(formData, query)).toEqual({
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    extras: { where: '', having: '', time_grain_sqla: 'P1Y' },
    time_range: '1 year ago : 2013',
    orderby: [['count(*)', true]],
    columns: [
      {
        timeGrain: 'P1Y',
        columnType: 'BASE_AXIS',
        sqlExpression: 'time_column_in_x_axis',
        label: 'time_column_in_x_axis',
        expressionType: 'SQL',
      },
      'col1',
    ],
    metrics: ['count(*)'],
  });
});

test('should support custom SQL in x-axis', () => {
  const formData: SqlaFormData = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    time_grain_sqla: 'P1Y',
    time_range: '1 year ago : 2013',
    x_axis: {
      expressionType: 'SQL',
      label: 'Order Data + 1 year',
      sqlExpression: '"Order Date" + interval \'1 year\'',
    },
    columns: ['col1'],
    metrics: ['count(*)'],
  };
  const query: QueryObject = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    extras: {
      time_grain_sqla: 'P1Y',
      where: '',
      having: '',
    },
    time_range: '1 year ago : 2013',
    orderby: [['count(*)', true]],
    columns: [
      {
        expressionType: 'SQL',
        label: 'Order Data + 1 year',
        sqlExpression: '"Order Date" + interval \'1 year\'',
      },
      'col1',
    ],
    metrics: ['count(*)'],
    is_timeseries: true,
  };
  expect(normalizeTimeColumn(formData, query)).toEqual({
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    extras: { where: '', having: '', time_grain_sqla: 'P1Y' },
    time_range: '1 year ago : 2013',
    orderby: [['count(*)', true]],
    columns: [
      {
        timeGrain: 'P1Y',
        columnType: 'BASE_AXIS',
        expressionType: 'SQL',
        label: 'Order Data + 1 year',
        sqlExpression: `"Order Date" + interval '1 year'`,
      },
      'col1',
    ],
    metrics: ['count(*)'],
  });
});

test('fallback and invalid columns value', () => {
  const formData: SqlaFormData = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    time_grain_sqla: 'P1Y',
    time_range: '1 year ago : 2013',
    x_axis: {
      expressionType: 'SQL',
      label: 'Order Data + 1 year',
      sqlExpression: '"Order Date" + interval \'1 year\'',
    },
    columns: ['col1'],
    metrics: ['count(*)'],
  };
  const query: QueryObject = {
    datasource: '5__table',
    viz_type: 'table',
    granularity: 'time_column',
    extras: {
      time_grain_sqla: 'P1Y',
      where: '',
      having: '',
    },
    time_range: '1 year ago : 2013',
    orderby: [['count(*)', true]],
    metrics: ['count(*)'],
    is_timeseries: true,
  };
  expect(normalizeTimeColumn(formData, query)).toEqual(query);
});