Remove series highlighting
parent
576779b031
commit
c0f9964a29
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@ -1,39 +1,36 @@
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import timeSeriesToDygraph from 'src/utils/timeSeriesToDygraph';
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import {STROKE_WIDTH} from 'src/shared/constants';
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const {light: strokeWidth} = STROKE_WIDTH;
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import timeSeriesToDygraph from 'src/utils/timeSeriesToDygraph'
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describe('timeSeriesToDygraph', () => {
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it('parses a raw InfluxDB response into a dygraph friendly data format', () => {
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const influxResponse = [
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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},
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]
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},
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{
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"series": [
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{
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"name":"m1",
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"columns": ["time","f2"],
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"values": [[2000, 3],[4000, 4]],
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},
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]
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name: "m1",
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columns: ["time", "f1"],
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values: [[1000, 1], [2000, 2]],
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},
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],
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},
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}
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];
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{
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series: [
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{
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name: "m1",
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columns: ["time", "f2"],
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values: [[2000, 3], [4000, 4]],
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},
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],
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},
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],
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},
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},
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]
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const actual = timeSeriesToDygraph(influxResponse);
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const actual = timeSeriesToDygraph(influxResponse)
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const expected = {
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labels: [
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@ -49,40 +46,38 @@ describe('timeSeriesToDygraph', () => {
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dygraphSeries: {
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'm1.f1': {
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axis: 'y',
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strokeWidth,
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},
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'm1.f2': {
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axis: 'y',
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strokeWidth,
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},
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},
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};
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}
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expect(actual).to.deep.equal(expected);
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});
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expect(actual).to.deep.equal(expected)
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})
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it('can sort numerical timestamps correctly', () => {
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const influxResponse = [
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[100, 1],[3000, 3],[200, 2]],
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},
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]
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name: "m1",
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columns: ["time", "f1"],
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values: [[100, 1], [3000, 3], [200, 2]],
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},
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],
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},
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}
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];
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],
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},
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},
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]
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const actual = timeSeriesToDygraph(influxResponse);
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const actual = timeSeriesToDygraph(influxResponse)
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const expected = {
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labels: [
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@ -94,113 +89,110 @@ describe('timeSeriesToDygraph', () => {
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[new Date(200), 2],
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[new Date(3000), 3],
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],
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};
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}
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expect(actual.timeSeries).to.deep.equal(expected.timeSeries);
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});
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expect(actual.timeSeries).to.deep.equal(expected.timeSeries)
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})
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it('can parse multiple responses into two axes', () => {
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const influxResponse = [
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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name: "m1",
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columns: ["time", "f1"],
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values: [[1000, 1], [2000, 2]],
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},
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]
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],
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},
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f2"],
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"values": [[2000, 3],[4000, 4]],
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name: "m1",
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columns: ["time", "f2"],
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values: [[2000, 3], [4000, 4]],
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},
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]
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],
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},
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],
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},
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},
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m3",
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"columns": ["time","f3"],
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"values": [[1000, 1],[2000, 2]],
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name: "m3",
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columns: ["time", "f3"],
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values: [[1000, 1], [2000, 2]],
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},
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]
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],
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},
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],
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},
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},
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];
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]
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const actual = timeSeriesToDygraph(influxResponse);
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const actual = timeSeriesToDygraph(influxResponse)
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const expected = {
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'm1.f1': {
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axis: 'y',
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strokeWidth,
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},
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'm1.f2': {
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axis: 'y',
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strokeWidth,
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},
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'm3.f3': {
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axis: 'y2',
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strokeWidth,
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},
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};
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}
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expect(actual.dygraphSeries).to.deep.equal(expected);
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});
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expect(actual.dygraphSeries).to.deep.equal(expected)
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})
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it('can parse multiple responses with the same field and measurement', () => {
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const influxResponse = [
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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name: "m1",
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columns: ["time", "f1"],
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values: [[1000, 1], [2000, 2]],
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},
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]
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],
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},
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],
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},
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},
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[2000, 3],[4000, 4]],
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name: "m1",
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columns: ["time", "f1"],
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values: [[2000, 3], [4000, 4]],
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},
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]
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],
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},
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],
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},
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},
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];
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]
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const actual = timeSeriesToDygraph(influxResponse);
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const actual = timeSeriesToDygraph(influxResponse)
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const expected = {
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labels: [
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@ -214,162 +206,107 @@ describe('timeSeriesToDygraph', () => {
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[new Date(4000), null, 4],
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],
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dygraphSeries: {
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// 'm1.f1': {
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// axis: 'y',
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// strokeWidth,
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// },
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'm1.f1': {
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axis: 'y2',
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strokeWidth,
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},
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},
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};
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}
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expect(actual).to.deep.equal(expected);
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});
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expect(actual).to.deep.equal(expected)
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})
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it('it does not use multiple axes if being used for the DataExplorer', () => {
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const influxResponse = [
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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name: "m1",
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columns: ["time", "f1"],
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values: [[1000, 1], [2000, 2]],
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},
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]
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],
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},
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],
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},
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},
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"m1",
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"columns": ["time","f2"],
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"values": [[2000, 3],[4000, 4]],
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name: "m1",
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columns: ["time", "f2"],
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values: [[2000, 3], [4000, 4]],
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},
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]
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],
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},
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],
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},
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},
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];
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const isInDataExplorer = true;
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const actual = timeSeriesToDygraph(influxResponse, undefined, isInDataExplorer);
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const expected = {
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'm1.f1': {
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strokeWidth,
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},
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'm1.f2': {
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strokeWidth,
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},
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};
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expect(actual.dygraphSeries).to.deep.equal(expected);
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});
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it('it highlights the appropriate response', () => {
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const influxResponse = [
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{
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"response":
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{
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"results": [
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{
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"series": [
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{
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"name":"m1",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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},
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]
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},
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],
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},
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},
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{
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"response":
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{
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"results": [
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{
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"series": [
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{
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"name":"m2",
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"columns": ["time","f2"],
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"values": [[2000, 3],[4000, 4]],
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},
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]
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},
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],
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},
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},
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];
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const highlightIndex = 1;
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const actual = timeSeriesToDygraph(influxResponse, highlightIndex);
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const {dygraphSeries} = actual;
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const isInDataExplorer = true
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const actual = timeSeriesToDygraph(influxResponse, undefined, isInDataExplorer)
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expect(dygraphSeries["m2.f2"].strokeWidth).to.be.above(dygraphSeries["m1.f1"].strokeWidth);
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});
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const expected = {}
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expect(actual.dygraphSeries).to.deep.equal(expected)
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})
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it('parses a raw InfluxDB response into a dygraph friendly data format', () => {
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const influxResponse = [
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{
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"response":
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response:
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{
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"results": [
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results: [
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{
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"series": [
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series: [
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{
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"name":"mb",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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},
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]
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},
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{
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"series": [
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{
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"name":"ma",
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"columns": ["time","f1"],
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"values": [[1000, 1],[2000, 2]],
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},
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]
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},
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{
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"series": [
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{
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"name":"mc",
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"columns": ["time","f2"],
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"values": [[2000, 3],[4000, 4]],
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},
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]
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},
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{
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"series": [
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{
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"name":"mc",
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"columns": ["time","f1"],
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"values": [[2000, 3],[4000, 4]],
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},
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]
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name: "mb",
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columns: ["time", "f1"],
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values: [[1000, 1], [2000, 2]],
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},
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],
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},
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}
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];
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{
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series: [
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{
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name: "ma",
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columns: ["time", "f1"],
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values: [[1000, 1], [2000, 2]],
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},
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],
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},
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{
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series: [
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{
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name: "mc",
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columns: ["time", "f2"],
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values: [[2000, 3], [4000, 4]],
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},
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],
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},
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{
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series: [
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{
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name: "mc",
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columns: ["time", "f1"],
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values: [[2000, 3], [4000, 4]],
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},
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],
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},
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],
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},
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},
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]
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const actual = timeSeriesToDygraph(influxResponse);
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const actual = timeSeriesToDygraph(influxResponse)
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const expected = [
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'time',
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@ -377,8 +314,8 @@ describe('timeSeriesToDygraph', () => {
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`mb.f1`,
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`mc.f1`,
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`mc.f2`,
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];
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]
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expect(actual.labels).to.deep.equal(expected);
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});
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});
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expect(actual.labels).to.deep.equal(expected)
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})
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})
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@ -1,5 +1,4 @@
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import _ from 'lodash'
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import {STROKE_WIDTH} from 'src/shared/constants'
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import {map, reduce, forEach, concat, clone} from 'fast.js'
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/**
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|
@ -102,15 +101,11 @@ export default function timeSeriesToDygraph(raw = [], activeQueryIndex, isInData
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}
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const sortedTimeSeries = _.sortBy(timeSeries, 'time')
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const {light, heavy} = STROKE_WIDTH
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const dygraphSeries = reduce(sortedLabels, (acc, {label, responseIndex}) => {
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acc[label] = {
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strokeWidth: responseIndex === activeQueryIndex ? heavy : light,
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}
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if (!isInDataExplorer) {
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acc[label].axis = responseIndex === 0 ? 'y' : 'y2'
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acc[label] = {
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axis: responseIndex === 0 ? 'y' : 'y2',
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}
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}
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return acc
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