feat: generate consistent QueryObject whether GenericAxis is enabled or disabled (#21519)

This commit is contained in:
Yongjie Zhao
2022-09-21 09:41:21 +08:00
committed by GitHub
parent 6644a84f79
commit 4d12e3709e
22 changed files with 474 additions and 65 deletions

View File

@@ -18,12 +18,13 @@
*/
import {
buildQueryContext,
DTTM_ALIAS,
ensureIsArray,
normalizeOrderBy,
PostProcessingPivot,
QueryFormData,
QueryObject,
getXAxis,
isXAxisSet,
} from '@superset-ui/core';
import {
pivotOperator,
@@ -41,11 +42,8 @@ import {
} from '../utils/formDataSuffix';
export default function buildQuery(formData: QueryFormData) {
const { x_axis: index } = formData;
const is_timeseries = index === DTTM_ALIAS || !index;
const baseFormData = {
...formData,
is_timeseries,
};
const formData1 = removeFormDataSuffix(baseFormData, '_b');
@@ -55,9 +53,12 @@ export default function buildQuery(formData: QueryFormData) {
buildQueryContext(fd, baseQueryObject => {
const queryObject = {
...baseQueryObject,
columns: [...ensureIsArray(index), ...ensureIsArray(fd.groupby)],
columns: [
...(isXAxisSet(formData) ? ensureIsArray(getXAxis(formData)) : []),
...ensureIsArray(fd.groupby),
],
series_columns: fd.groupby,
is_timeseries,
...(isXAxisSet(formData) ? {} : { is_timeseries: true }),
};
const pivotOperatorInRuntime: PostProcessingPivot = isTimeComparison(
@@ -68,8 +69,6 @@ export default function buildQuery(formData: QueryFormData) {
: pivotOperator(fd, {
...queryObject,
columns: fd.groupby,
index,
is_timeseries,
});
const tmpQueryObject = {
@@ -83,7 +82,6 @@ export default function buildQuery(formData: QueryFormData) {
renameOperator(fd, {
...queryObject,
columns: fd.groupby,
is_timeseries,
}),
flattenOperator(fd, queryObject),
],

View File

@@ -20,16 +20,16 @@
import {
AnnotationLayer,
CategoricalColorNamespace,
DTTM_ALIAS,
GenericDataType,
getColumnLabel,
getNumberFormatter,
isEventAnnotationLayer,
isFormulaAnnotationLayer,
isIntervalAnnotationLayer,
isTimeseriesAnnotationLayer,
QueryFormData,
TimeseriesChartDataResponseResult,
TimeseriesDataRecord,
getXAxis,
} from '@superset-ui/core';
import { EChartsCoreOption, SeriesOption } from 'echarts';
import {
@@ -152,8 +152,7 @@ export default function transformProps(
const colorScale = CategoricalColorNamespace.getScale(colorScheme as string);
const xAxisCol =
verboseMap[xAxisOrig] || getColumnLabel(xAxisOrig || DTTM_ALIAS);
const xAxisCol = getXAxis(chartProps.rawFormData as QueryFormData) as string;
const rebasedDataA = rebaseForecastDatum(data1, verboseMap);
const rawSeriesA = extractSeries(rebasedDataA, {

View File

@@ -18,11 +18,12 @@
*/
import {
buildQueryContext,
DTTM_ALIAS,
ensureIsArray,
normalizeOrderBy,
PostProcessingPivot,
QueryFormData,
getXAxis,
isXAxisSet,
} from '@superset-ui/core';
import {
rollingWindowOperator,
@@ -38,8 +39,7 @@ import {
} from '@superset-ui/chart-controls';
export default function buildQuery(formData: QueryFormData) {
const { x_axis, groupby } = formData;
const is_timeseries = x_axis === DTTM_ALIAS || !x_axis;
const { groupby } = formData;
return buildQueryContext(formData, baseQueryObject => {
/* the `pivotOperatorInRuntime` determines how to pivot the dataframe returned from the raw query.
1. If it's a time compared query, there will return a pivoted dataframe that append time compared metrics. for instance:
@@ -66,18 +66,17 @@ export default function buildQuery(formData: QueryFormData) {
baseQueryObject,
)
? timeComparePivotOperator(formData, baseQueryObject)
: pivotOperator(formData, {
...baseQueryObject,
index: x_axis,
is_timeseries,
});
: pivotOperator(formData, baseQueryObject);
return [
{
...baseQueryObject,
columns: [...ensureIsArray(x_axis), ...ensureIsArray(groupby)],
columns: [
...(isXAxisSet(formData) ? ensureIsArray(getXAxis(formData)) : []),
...ensureIsArray(groupby),
],
series_columns: groupby,
is_timeseries,
...(isXAxisSet(formData) ? {} : { is_timeseries: true }),
// todo: move `normalizeOrderBy to extractQueryFields`
orderby: normalizeOrderBy(baseQueryObject).orderby,
time_offsets: isTimeComparison(formData, baseQueryObject)
@@ -92,10 +91,7 @@ export default function buildQuery(formData: QueryFormData) {
rollingWindowOperator(formData, baseQueryObject),
timeCompareOperator(formData, baseQueryObject),
resampleOperator(formData, baseQueryObject),
renameOperator(formData, {
...baseQueryObject,
is_timeseries,
}),
renameOperator(formData, baseQueryObject),
contributionOperator(formData, baseQueryObject),
flattenOperator(formData, baseQueryObject),
// todo: move prophet before flatten

View File

@@ -28,9 +28,9 @@ import {
isTimeseriesAnnotationLayer,
TimeseriesChartDataResponseResult,
t,
DTTM_ALIAS,
getXAxis,
} from '@superset-ui/core';
import { getAxis, isDerivedSeries } from '@superset-ui/chart-controls';
import { isDerivedSeries } from '@superset-ui/chart-controls';
import { EChartsCoreOption, SeriesOption } from 'echarts';
import { ZRLineType } from 'echarts/types/src/util/types';
import {
@@ -148,9 +148,7 @@ export default function transformProps(
const colorScale = CategoricalColorNamespace.getScale(colorScheme as string);
const rebasedData = rebaseForecastDatum(data, verboseMap);
// todo: if the both granularity_sqla and x_axis are `null`, should throw an error
const xAxisCol =
verboseMap[xAxisOrig] || getAxis(chartProps.rawFormData) || DTTM_ALIAS;
const xAxisCol = getXAxis(chartProps.rawFormData) as string;
const isHorizontal = orientation === OrientationType.horizontal;
const { totalStackedValues, thresholdValues } = extractDataTotalValues(
rebasedData,

View File

@@ -267,7 +267,22 @@ test('should compile AA in query B', () => {
});
});
test('should compile query objects with x-axis', () => {
test('should convert a queryObject with x-axis although FF is disabled', () => {
let windowSpy: any;
beforeAll(() => {
// @ts-ignore
windowSpy = jest.spyOn(window, 'window', 'get').mockImplementation(() => ({
featureFlags: {
GENERIC_CHART_AXES: false,
},
}));
});
afterAll(() => {
windowSpy.mockRestore();
});
const { queries } = buildQuery({
...formDataMixedChart,
x_axis: 'my_index',
@@ -280,11 +295,19 @@ test('should compile query objects with x-axis', () => {
filters: [],
extras: {
having: '',
time_grain_sqla: 'P1W',
where: "(foo in ('a', 'b'))",
},
applied_time_extras: {},
columns: ['my_index', 'foo'],
columns: [
{
columnType: 'BASE_AXIS',
expressionType: 'SQL',
label: 'my_index',
sqlExpression: 'my_index',
timeGrain: 'P1W',
},
'foo',
],
metrics: ['sum(sales)'],
annotation_layers: [],
row_limit: 10,
@@ -296,7 +319,6 @@ test('should compile query objects with x-axis', () => {
url_params: {},
custom_params: {},
custom_form_data: {},
is_timeseries: false,
time_offsets: [],
post_processing: [
{
@@ -332,8 +354,16 @@ test('should compile query objects with x-axis', () => {
// check the main props on the second query
expect(queries[1]).toEqual(
expect.objectContaining({
is_timeseries: false,
columns: ['my_index'],
columns: [
{
columnType: 'BASE_AXIS',
expressionType: 'SQL',
label: 'my_index',
sqlExpression: 'my_index',
timeGrain: 'P1W',
},
],
granularity: 'ds',
series_columns: [],
metrics: ['count'],
post_processing: [
@@ -357,3 +387,90 @@ test('should compile query objects with x-axis', () => {
}),
);
});
test("shouldn't convert a queryObject with axis although FF is enabled", () => {
let windowSpy: any;
beforeAll(() => {
// @ts-ignore
windowSpy = jest.spyOn(window, 'window', 'get').mockImplementation(() => ({
featureFlags: {
GENERIC_CHART_AXES: true,
},
}));
});
afterAll(() => {
windowSpy.mockRestore();
});
const { queries } = buildQuery(formDataMixedChart);
expect(queries[0]).toEqual(
expect.objectContaining({
granularity: 'ds',
columns: ['foo'],
series_columns: ['foo'],
metrics: ['sum(sales)'],
is_timeseries: true,
extras: {
time_grain_sqla: 'P1W',
having: '',
where: "(foo in ('a', 'b'))",
},
post_processing: [
{
operation: 'pivot',
options: {
aggregates: {
'sum(sales)': {
operator: 'mean',
},
},
columns: ['foo'],
drop_missing_columns: false,
index: ['__timestamp'],
},
},
{
operation: 'rename',
options: { columns: { 'sum(sales)': null }, inplace: true, level: 0 },
},
{
operation: 'flatten',
},
],
}),
);
expect(queries[1]).toEqual(
expect.objectContaining({
granularity: 'ds',
columns: [],
series_columns: [],
metrics: ['count'],
is_timeseries: true,
extras: {
time_grain_sqla: 'P1W',
having: '',
where: "(name in ('c', 'd'))",
},
post_processing: [
{
operation: 'pivot',
options: {
aggregates: {
count: {
operator: 'mean',
},
},
columns: [],
drop_missing_columns: false,
index: ['__timestamp'],
},
},
{
operation: 'flatten',
},
],
}),
);
});

View File

@@ -16,6 +16,7 @@
* specific language governing permissions and limitations
* under the License.
*/
import { SqlaFormData } from '@superset-ui/core';
import buildQuery from '../../src/Timeseries/buildQuery';
describe('Timeseries buildQuery', () => {
@@ -59,3 +60,181 @@ describe('Timeseries buildQuery', () => {
expect(query.orderby).toEqual([['foo', true]]);
});
});
describe('GENERIC_CHART_AXES is enabled', () => {
let windowSpy: any;
beforeAll(() => {
// @ts-ignore
windowSpy = jest.spyOn(window, 'window', 'get').mockImplementation(() => ({
featureFlags: {
GENERIC_CHART_AXES: true,
},
}));
});
afterAll(() => {
windowSpy.mockRestore();
});
const formData: SqlaFormData = {
datasource: '5__table',
viz_type: 'table',
granularity_sqla: 'time_column',
time_grain_sqla: 'P1Y',
time_range: '1 year ago : 2013',
groupby: ['col1'],
metrics: ['count(*)'],
};
it("shouldn't convert queryObject", () => {
const { queries } = buildQuery(formData);
expect(queries[0]).toEqual(
expect.objectContaining({
granularity: 'time_column',
time_range: '1 year ago : 2013',
extras: { time_grain_sqla: 'P1Y', having: '', where: '' },
columns: ['col1'],
series_columns: ['col1'],
metrics: ['count(*)'],
is_timeseries: true,
post_processing: [
{
operation: 'pivot',
options: {
aggregates: { 'count(*)': { operator: 'mean' } },
columns: ['col1'],
drop_missing_columns: true,
index: ['__timestamp'],
},
},
{ operation: 'flatten' },
],
}),
);
});
it('should convert queryObject', () => {
const { queries } = buildQuery({ ...formData, x_axis: 'time_column' });
expect(queries[0]).toEqual(
expect.objectContaining({
granularity: 'time_column',
time_range: '1 year ago : 2013',
extras: { having: '', where: '' },
columns: [
{
columnType: 'BASE_AXIS',
expressionType: 'SQL',
label: 'time_column',
sqlExpression: 'time_column',
timeGrain: 'P1Y',
},
'col1',
],
series_columns: ['col1'],
metrics: ['count(*)'],
post_processing: [
{
operation: 'pivot',
options: {
aggregates: { 'count(*)': { operator: 'mean' } },
columns: ['col1'],
drop_missing_columns: true,
index: ['time_column'],
},
},
{ operation: 'flatten' },
],
}),
);
});
});
describe('GENERIC_CHART_AXES is disabled', () => {
let windowSpy: any;
beforeAll(() => {
// @ts-ignore
windowSpy = jest.spyOn(window, 'window', 'get').mockImplementation(() => ({
featureFlags: {
GENERIC_CHART_AXES: false,
},
}));
});
afterAll(() => {
windowSpy.mockRestore();
});
const formData: SqlaFormData = {
datasource: '5__table',
viz_type: 'table',
granularity_sqla: 'time_column',
time_grain_sqla: 'P1Y',
time_range: '1 year ago : 2013',
groupby: ['col1'],
metrics: ['count(*)'],
};
it("shouldn't convert queryObject", () => {
const { queries } = buildQuery(formData);
expect(queries[0]).toEqual(
expect.objectContaining({
granularity: 'time_column',
time_range: '1 year ago : 2013',
extras: { time_grain_sqla: 'P1Y', having: '', where: '' },
columns: ['col1'],
series_columns: ['col1'],
metrics: ['count(*)'],
is_timeseries: true,
post_processing: [
{
operation: 'pivot',
options: {
aggregates: { 'count(*)': { operator: 'mean' } },
columns: ['col1'],
drop_missing_columns: true,
index: ['__timestamp'],
},
},
{ operation: 'flatten' },
],
}),
);
});
it('should convert queryObject', () => {
const { queries } = buildQuery({ ...formData, x_axis: 'time_column' });
expect(queries[0]).toEqual(
expect.objectContaining({
granularity: 'time_column',
time_range: '1 year ago : 2013',
extras: { having: '', where: '' },
columns: [
{
columnType: 'BASE_AXIS',
expressionType: 'SQL',
label: 'time_column',
sqlExpression: 'time_column',
timeGrain: 'P1Y',
},
'col1',
],
series_columns: ['col1'],
metrics: ['count(*)'],
post_processing: [
{
operation: 'pivot',
options: {
aggregates: { 'count(*)': { operator: 'mean' } },
columns: ['col1'],
drop_missing_columns: true,
index: ['time_column'],
},
},
{ operation: 'flatten' },
],
}),
);
});
});