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grafana/packages/grafana-data/src/transformations/transformDataFrame.test.ts

117 lines
3.5 KiB

import { toDataFrame } from '../dataframe/processDataFrame';
import { FieldType } from '../types';
import { mockTransformationsRegistry } from '../utils/tests/mockTransformationsRegistry';
import { ReducerID } from './fieldReducer';
import { FrameMatcherID } from './matchers/ids';
import { transformDataFrame } from './transformDataFrame';
import { filterFieldsByNameTransformer } from './transformers/filterByName';
import { DataTransformerID } from './transformers/ids';
import { reduceTransformer, ReduceTransformerMode } from './transformers/reduce';
const seriesAWithSingleField = toDataFrame({
name: 'A',
fields: [
{ name: 'time', type: FieldType.time, values: [3000, 4000, 5000, 6000] },
{ name: 'temperature', type: FieldType.number, values: [3, 4, 5, 6] },
],
});
describe('transformDataFrame', () => {
beforeAll(() => {
mockTransformationsRegistry([reduceTransformer, filterFieldsByNameTransformer]);
});
it('Applies all transforms', async () => {
const cfg = [
{
id: DataTransformerID.reduce,
options: {
reducers: [ReducerID.first],
},
},
{
id: DataTransformerID.filterFieldsByName,
options: {
include: {
pattern: '/First/',
},
},
},
];
await expect(transformDataFrame(cfg, [seriesAWithSingleField])).toEmitValuesWith((received) => {
const processed = received[0];
expect(processed[0].length).toEqual(1);
expect(processed[0].fields.length).toEqual(1);
expect(processed[0].fields[0].values.get(0)).toEqual(3);
});
});
it('Skips over disabled transforms', async () => {
const cfg = [
{
id: DataTransformerID.reduce,
options: {
reducers: [ReducerID.first],
},
},
{
id: DataTransformerID.filterFieldsByName,
disabled: true,
options: {
include: {
pattern: '/First/',
},
},
},
];
await expect(transformDataFrame(cfg, [seriesAWithSingleField])).toEmitValuesWith((received) => {
const processed = received[0];
expect(processed[0].length).toEqual(1);
expect(processed[0].fields.length).toEqual(2);
expect(processed[0].fields[0].values.get(0)).toEqual('temperature');
});
});
it('Support filtering', async () => {
const frameA = toDataFrame({
refId: 'A',
fields: [{ name: 'value', type: FieldType.number, values: [5, 6] }],
});
const frameB = toDataFrame({
refId: 'B',
fields: [{ name: 'value', type: FieldType.number, values: [7, 8] }],
});
const cfg = [
{
id: DataTransformerID.reduce,
filter: {
id: FrameMatcherID.byRefId,
options: 'A', // Only apply to A
},
options: {
reducers: [ReducerID.first],
mode: ReduceTransformerMode.ReduceFields,
},
},
];
// Only apply A
await expect(transformDataFrame(cfg, [frameA, frameB])).toEmitValuesWith((received) => {
const processed = received[0].map((v) => v.fields[0].values.toArray());
expect(processed).toBeTruthy();
expect(processed).toMatchObject([[5], [7, 8]]);
});
// Only apply to B
cfg[0].filter.options = 'B';
await expect(transformDataFrame(cfg, [frameA, frameB])).toEmitValuesWith((received) => {
const processed = received[0].map((v) => v.fields[0].values.toArray());
expect(processed).toBeTruthy();
expect(processed).toMatchObject([[5, 6], [7]]);
});
});
});