superset/superset-frontend/packages/superset-ui-chart-controls/test/operators/pivotOperator.test.ts

218 lines
5.0 KiB
TypeScript

/**
* 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 { QueryObject, SqlaFormData } from '@superset-ui/core';
import { pivotOperator } from '@superset-ui/chart-controls';
const formData: SqlaFormData = {
metrics: [
'count(*)',
{ label: 'sum(val)', expressionType: 'SQL', sqlExpression: 'sum(val)' },
],
time_range: '2015 : 2016',
granularity: 'month',
datasource: 'foo',
viz_type: 'table',
show_empty_columns: true,
};
const queryObject: QueryObject = {
metrics: [
'count(*)',
{ label: 'sum(val)', expressionType: 'SQL', sqlExpression: 'sum(val)' },
],
time_range: '2015 : 2016',
granularity: 'month',
post_processing: [
{
operation: 'pivot',
options: {
index: ['__timestamp'],
columns: ['nation'],
aggregates: {
'count(*)': {
operator: 'mean',
},
},
drop_missing_columns: false,
},
},
],
};
test('skip pivot', () => {
expect(pivotOperator(formData, queryObject)).toEqual(undefined);
expect(
pivotOperator(formData, {
...queryObject,
metrics: [],
}),
).toEqual(undefined);
});
test('pivot by __timestamp without columns', () => {
expect(
pivotOperator(
{ ...formData, granularity_sqla: 'time_column' },
queryObject,
),
).toEqual({
operation: 'pivot',
options: {
index: ['__timestamp'],
columns: [],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
},
drop_missing_columns: false,
},
});
});
test('pivot by __timestamp with columns', () => {
expect(
pivotOperator(
{ ...formData, granularity_sqla: 'time_column' },
{
...queryObject,
columns: ['foo', 'bar'],
},
),
).toEqual({
operation: 'pivot',
options: {
index: ['__timestamp'],
columns: ['foo', 'bar'],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
},
drop_missing_columns: false,
},
});
});
test('pivot by __timestamp with series_columns', () => {
expect(
pivotOperator(
{ ...formData, granularity_sqla: 'time_column' },
{
...queryObject,
series_columns: ['foo', 'bar'],
},
),
).toEqual({
operation: 'pivot',
options: {
index: ['__timestamp'],
columns: ['foo', 'bar'],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
},
drop_missing_columns: false,
},
});
});
test('pivot by x_axis with groupby', () => {
expect(
pivotOperator(
{
...formData,
x_axis: 'baz',
},
{
...queryObject,
series_columns: ['foo', 'bar'],
},
),
).toEqual({
operation: 'pivot',
options: {
index: ['baz'],
columns: ['foo', 'bar'],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
},
drop_missing_columns: false,
},
});
});
test('pivot by adhoc x_axis', () => {
expect(
pivotOperator(
{
...formData,
x_axis: {
label: 'my_case_expr',
expressionType: 'SQL',
sqlExpression: 'case when a = 1 then 1 else 0 end',
},
},
{
...queryObject,
series_columns: ['foo', 'bar'],
},
),
).toEqual({
operation: 'pivot',
options: {
index: ['my_case_expr'],
columns: ['foo', 'bar'],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
},
drop_missing_columns: false,
},
});
});
test('pivot by x_axis with extra metrics', () => {
expect(
pivotOperator(
{
...formData,
x_axis: 'foo',
x_axis_sort: 'bar',
groupby: [],
timeseries_limit_metric: 'bar',
},
{
...queryObject,
series_columns: [],
},
),
).toEqual({
operation: 'pivot',
options: {
index: ['foo'],
columns: [],
aggregates: {
'count(*)': { operator: 'mean' },
'sum(val)': { operator: 'mean' },
bar: { operator: 'mean' },
},
drop_missing_columns: false,
},
});
});