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Chore: swap [value,time] order when converting to DataFrame (#23206)

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Ryan McKinley 2020-04-03 11:11:28 -07:00 committed by GitHub
parent e257536e88
commit 6366e43a44
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9 changed files with 77 additions and 68 deletions
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16
packages/grafana-data/src/dataframe/processDataFrame.test.ts
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@ -21,16 +21,17 @@ describe('toDataFrame', () => {
],
};
let series = toDataFrame(input1);
expect(series.fields[0].name).toBe(input1.target);
expect(series.fields[1].name).toBe(input1.target);
const v0 = series.fields[0].values;
const v1 = series.fields[1].values;
expect(v0.length).toEqual(2);
expect(v0.get(0)).toEqual(1);
expect(v0.get(1)).toEqual(2);
expect(v1.length).toEqual(2);
expect(v0.get(0)).toEqual(100);
expect(v0.get(1)).toEqual(200);
expect(v1.get(0)).toEqual(1);
expect(v1.get(1)).toEqual(2);
expect(v1.get(0)).toEqual(100);
expect(v1.get(1)).toEqual(200);
// Should fill a default name if target is empty
const input2 = {
@ -42,7 +43,7 @@ describe('toDataFrame', () => {
],
};
series = toDataFrame(input2);
expect(series.fields[0].name).toEqual('Value');
expect(series.fields[1].name).toEqual('Value');
});
it('assumes TimeSeries values are numbers', () => {
@ -54,7 +55,8 @@ describe('toDataFrame', () => {
],
};
const data = toDataFrame(input1);
expect(data.fields[0].type).toBe(FieldType.number);
expect(data.fields[0].type).toBe(FieldType.time);
expect(data.fields[1].type).toBe(FieldType.number);
});
it('keeps dataFrame unchanged', () => {

49
packages/grafana-data/src/dataframe/processDataFrame.ts
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@ -66,6 +66,12 @@ function convertTimeSeriesToDataFrame(timeSeries: TimeSeries): DataFrame {
}
const fields = [
{
name: 'Time',
type: FieldType.time,
config: {},
values: new ArrayVector<number>(times),
},
{
name: timeSeries.target || 'Value',
type: FieldType.number,
@ -75,12 +81,6 @@ function convertTimeSeriesToDataFrame(timeSeries: TimeSeries): DataFrame {
values: new ArrayVector<TimeSeriesValue>(values),
labels: timeSeries.tags,
},
{
name: 'Time',
type: FieldType.time,
config: {},
values: new ArrayVector<number>(times),
},
];
return {
@ -285,23 +285,22 @@ export const toLegacyResponseData = (frame: DataFrame): TimeSeries | TableData =
const rowCount = frame.length;
const rows: any[][] = [];
for (let i = 0; i < rowCount; i++) {
const row: any[] = [];
for (let j = 0; j < fields.length; j++) {
row.push(fields[j].values.get(i));
}
rows.push(row);
}
if (fields.length === 2) {
let type = fields[1].type;
if (!type) {
type = guessFieldTypeForField(fields[1]) || FieldType.other;
}
if (type === FieldType.time) {
const { timeField, timeIndex } = getTimeField(frame);
if (timeField) {
const valueIndex = timeIndex === 0 ? 1 : 0;
// Make sure it is [value,time]
for (let i = 0; i < rowCount; i++) {
rows.push([
fields[valueIndex].values.get(i), // value
fields[timeIndex!].values.get(i), // time
]);
}
return {
alias: fields[0].name || frame.name,
target: fields[0].name || frame.name,
alias: fields[valueIndex].name || frame.name,
target: fields[valueIndex].name || frame.name,
datapoints: rows,
unit: fields[0].config ? fields[0].config.unit : undefined,
refId: frame.refId,
@ -310,6 +309,14 @@ export const toLegacyResponseData = (frame: DataFrame): TimeSeries | TableData =
}
}
for (let i = 0; i < rowCount; i++) {
const row: any[] = [];
for (let j = 0; j < fields.length; j++) {
row.push(fields[j].values.get(i));
}
rows.push(row);
}
if (frame.meta && frame.meta.json) {
return {
alias: fields[0].name || frame.name,

10
public/app/features/explore/utils/ResultProcessor.test.ts
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@ -23,8 +23,8 @@ const testContext = (options: any = {}) => {
name: 'A-series',
refId: 'A',
fields: [
{ name: 'A-series', type: FieldType.number, values: [4, 5, 6] },
{ name: 'time', type: FieldType.time, values: [100, 200, 300] },
{ name: 'A-series', type: FieldType.number, values: [4, 5, 6] },
],
});
@ -100,8 +100,8 @@ describe('ResultProcessor', () => {
describe('when calling getGraphResult', () => {
it('then it should return correct graph result', () => {
const { resultProcessor, dataFrames } = testContext();
const timeField = dataFrames[0].fields[1];
const valueField = dataFrames[0].fields[0];
const timeField = dataFrames[0].fields[0];
const valueField = dataFrames[0].fields[1];
const theResult = resultProcessor.getGraphResult();
expect(theResult).toEqual([
@ -164,8 +164,8 @@ describe('ResultProcessor', () => {
describe('when calling getLogsResult', () => {
it('then it should return correct logs result', () => {
const { resultProcessor, dataFrames } = testContext({ mode: ExploreMode.Logs });
const timeField = dataFrames[0].fields[1];
const valueField = dataFrames[0].fields[0];
const timeField = dataFrames[0].fields[0];
const valueField = dataFrames[0].fields[1];
const logsDataFrame = dataFrames[1];
const theResult = resultProcessor.getLogsResult();

2
public/app/features/explore/utils/ResultProcessor.ts
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@ -114,7 +114,7 @@ export class ResultProcessor {
export function isTimeSeries(frame: DataFrame): boolean {
if (frame.fields.length === 2) {
if (frame.fields[1].type === FieldType.time) {
if (frame.fields[0].type === FieldType.time) {
return true;
}
}

14
public/app/plugins/datasource/cloudwatch/specs/datasource.test.ts
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@ -174,7 +174,7 @@ describe('CloudWatchDatasource', () => {
it('should return series list', done => {
ctx.ds.query(query).then((result: any) => {
expect(result.data[0].name).toBe(response.results.A.series[0].name);
expect(result.data[0].fields[0].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
expect(result.data[0].fields[1].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
done();
});
});
@ -191,8 +191,8 @@ describe('CloudWatchDatasource', () => {
response.results['A'].meta.gmdMeta = [{ Expression: `REMOVE_EMPTY(SEARCH('some expression'))`, Period: '300' }];
ctx.ds.query(query).then((result: any) => {
expect(result.data[0].name).toBe(response.results.A.series[0].name);
expect(result.data[0].fields[0].config.links[0].title).toBe('View in CloudWatch console');
expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
expect(decodeURIComponent(result.data[0].fields[1].config.links[0].url)).toContain(
`region=us-east-1#metricsV2:graph={"view":"timeSeries","stacked":false,"title":"A","start":"2016-12-31T15:00:00.000Z","end":"2016-12-31T16:00:00.000Z","region":"us-east-1","metrics":[{"expression":"REMOVE_EMPTY(SEARCH(\'some expression\'))"}]}`
);
done();
@ -206,7 +206,7 @@ describe('CloudWatchDatasource', () => {
];
ctx.ds.query(query).then((result: any) => {
expect(result.data[0].name).toBe(response.results.A.series[0].name);
expect(result.data[0].fields[0].config.links[0].title).toBe('View in CloudWatch console');
expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
`region=us-east-1#metricsV2:graph={"view":"timeSeries","stacked":false,"title":"A","start":"2016-12-31T15:00:00.000Z","end":"2016-12-31T16:00:00.000Z","region":"us-east-1","metrics":[{"expression":"REMOVE_EMPTY(SEARCH(\'first expression\'))"},{"expression":"REMOVE_EMPTY(SEARCH(\'second expression\'))"}]}`
);
@ -218,7 +218,7 @@ describe('CloudWatchDatasource', () => {
response.results['A'].meta.gmdMeta = [{ Period: '300' }];
ctx.ds.query(query).then((result: any) => {
expect(result.data[0].name).toBe(response.results.A.series[0].name);
expect(result.data[0].fields[0].config.links[0].title).toBe('View in CloudWatch console');
expect(result.data[0].fields[1].config.links[0].title).toBe('View in CloudWatch console');
expect(decodeURIComponent(result.data[0].fields[0].config.links[0].url)).toContain(
`region=us-east-1#metricsV2:graph={\"view\":\"timeSeries\",\"stacked\":false,\"title\":\"A\",\"start\":\"2016-12-31T15:00:00.000Z\",\"end\":\"2016-12-31T16:00:00.000Z\",\"region\":\"us-east-1\",\"metrics\":[[\"AWS/EC2\",\"CPUUtilization\",\"InstanceId\",\"i-12345678\",{\"stat\":\"Average\",\"period\":\"300\"}]]}`
);
@ -230,7 +230,7 @@ describe('CloudWatchDatasource', () => {
query.targets[0].expression = 'a * 2';
response.results['A'].meta.searchExpressions = [];
ctx.ds.query(query).then((result: any) => {
expect(result.data[0].fields[0].config.links).toBeUndefined();
expect(result.data[0].fields[1].config.links).toBeUndefined();
done();
});
});
@ -456,7 +456,7 @@ describe('CloudWatchDatasource', () => {
it('should return series list', done => {
ctx.ds.query(query).then((result: any) => {
expect(result.data[0].name).toBe(response.results.A.series[0].name);
expect(result.data[0].fields[0].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
expect(result.data[0].fields[1].values.buffer[0]).toBe(response.results.A.series[0].points[0][0]);
done();
});
});

40
public/app/plugins/datasource/grafana-azure-monitor-datasource/app_insights/app_insights_datasource.test.ts
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@ -177,8 +177,8 @@ describe('AppInsightsDatasource', () => {
const data = results.data[0] as DataFrame;
expect(data.name).toEqual('PrimaryResult');
expect(data.fields[0].values.length).toEqual(1);
expect(data.fields[1].values.get(0)).toEqual(1558278660000);
expect(data.fields[0].values.get(0)).toEqual(2.2075);
expect(data.fields[0].values.get(0)).toEqual(1558278660000);
expect(data.fields[1].values.get(0)).toEqual(2.2075);
});
});
});
@ -220,8 +220,8 @@ describe('AppInsightsDatasource', () => {
const data = results.data[0] as DataFrame;
expect(data.name).toEqual('paritionA');
expect(data.fields[0].values.length).toEqual(1);
expect(data.fields[1].values.get(0)).toEqual(1558278660000);
expect(data.fields[0].values.get(0)).toEqual(2.2075);
expect(data.fields[0].values.get(0)).toEqual(1558278660000);
expect(data.fields[1].values.get(0)).toEqual(2.2075);
});
});
});
@ -280,8 +280,8 @@ describe('AppInsightsDatasource', () => {
expect(results.data.length).toBe(1);
const data = results.data[0] as DataFrame;
expect(data.name).toEqual('exceptions/server');
expect(data.fields[1].values.get(0)).toEqual(1558278660000);
expect(data.fields[0].values.get(0)).toEqual(2.2075);
expect(data.fields[0].values.get(0)).toEqual(1558278660000);
expect(data.fields[1].values.get(0)).toEqual(2.2075);
});
});
});
@ -324,10 +324,10 @@ describe('AppInsightsDatasource', () => {
const data = results.data[0] as DataFrame;
expect(data.name).toEqual('exceptions/server');
expect(data.fields[0].values.length).toEqual(2);
expect(data.fields[1].values.get(0)).toEqual(1504108800000);
expect(data.fields[0].values.get(0)).toEqual(3);
expect(data.fields[1].values.get(1)).toEqual(1504112400000);
expect(data.fields[0].values.get(1)).toEqual(6);
expect(data.fields[0].values.get(0)).toEqual(1504108800000);
expect(data.fields[1].values.get(0)).toEqual(3);
expect(data.fields[0].values.get(1)).toEqual(1504112400000);
expect(data.fields[1].values.get(1)).toEqual(6);
});
});
});
@ -377,18 +377,18 @@ describe('AppInsightsDatasource', () => {
expect(results.data.length).toBe(2);
let data = results.data[0] as DataFrame;
expect(data.name).toEqual('exceptions/server{client/city="Miami"}');
expect(data.fields[0].values.length).toEqual(2);
expect(data.fields[1].values.get(0)).toEqual(1504108800000);
expect(data.fields[0].values.get(0)).toEqual(10);
expect(data.fields[1].values.get(1)).toEqual(1504112400000);
expect(data.fields[0].values.get(1)).toEqual(20);
expect(data.fields[1].values.length).toEqual(2);
expect(data.fields[0].values.get(0)).toEqual(1504108800000);
expect(data.fields[1].values.get(0)).toEqual(10);
expect(data.fields[0].values.get(1)).toEqual(1504112400000);
expect(data.fields[1].values.get(1)).toEqual(20);
data = results.data[1] as DataFrame;
expect(data.name).toEqual('exceptions/server{client/city="San Antonio"}');
expect(data.fields[0].values.length).toEqual(2);
expect(data.fields[1].values.get(0)).toEqual(1504108800000);
expect(data.fields[0].values.get(0)).toEqual(1);
expect(data.fields[1].values.get(1)).toEqual(1504112400000);
expect(data.fields[0].values.get(1)).toEqual(2);
expect(data.fields[1].values.length).toEqual(2);
expect(data.fields[0].values.get(0)).toEqual(1504108800000);
expect(data.fields[1].values.get(0)).toEqual(1);
expect(data.fields[0].values.get(1)).toEqual(1504112400000);
expect(data.fields[1].values.get(1)).toEqual(2);
});
});
});

8
public/app/plugins/datasource/grafana-azure-monitor-datasource/azure_monitor/azure_monitor_datasource.test.ts
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@ -138,10 +138,10 @@ describe('AzureMonitorDatasource', () => {
expect(results.data.length).toBe(1);
const data = results.data[0] as DataFrame;
expect(data.name).toEqual('Percentage CPU');
expect(data.fields[1].values.get(0)).toEqual(1558278660000);
expect(data.fields[0].values.get(0)).toEqual(2.2075);
expect(data.fields[1].values.get(1)).toEqual(1558278720000);
expect(data.fields[0].values.get(1)).toEqual(2.29);
expect(data.fields[0].values.get(0)).toEqual(1558278660000);
expect(data.fields[1].values.get(0)).toEqual(2.2075);
expect(data.fields[0].values.get(1)).toEqual(1558278720000);
expect(data.fields[1].values.get(1)).toEqual(2.29);
});
});
});

2
public/app/plugins/datasource/graphite/specs/datasource.test.ts
View File

@ -165,7 +165,7 @@ describe('graphiteDatasource', () => {
});
it('should convert to millisecond resolution', () => {
expect(results.data[0].fields[0].values.get(0)).toBe(10);
expect(results.data[0].fields[1].values.get(0)).toBe(10);
});
});

4
public/app/plugins/panel/graph/specs/__snapshots__/data_processor.test.ts.snap
View File

@ -24,7 +24,7 @@ Array [
1003,
],
],
"fieldIndex": 0,
"fieldIndex": 1,
"hasMsResolution": false,
"id": "Value",
"label": "Value",
@ -232,7 +232,7 @@ Array [
1003,
],
],
"fieldIndex": 0,
"fieldIndex": 1,
"hasMsResolution": false,
"id": "Value",
"label": "Value",