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Fixes #11289 - Change top_n to not use split colors (#11342)

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This commit is contained in:
Chris Cowan 2017-04-21 09:07:38 +02:00
parent 147352f2b4
commit 239020b24e
7 changed files with 66 additions and 12 deletions
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62
src/core_plugins/metrics/server/lib/vis_data/__tests__/helpers/get_splits.js
View file

@ -1,7 +1,7 @@
import { expect } from 'chai';
import getSplits from '../../helpers/get_splits';
describe('getSplits(resp, series)', () => {
describe('getSplits(resp, panel, series)', () => {
it('should return a splits for everything/filter group bys', () => {
const resp = {
@ -12,6 +12,7 @@ describe('getSplits(resp, series)', () => {
}
}
};
const panel = { type: 'timeseries' };
const series = {
id: 'SERIES',
color: '#F00',
@ -21,7 +22,7 @@ describe('getSplits(resp, series)', () => {
{ id: 'SIBAGG', type: 'avg_bucket', field: 'AVG' }
]
};
expect(getSplits(resp, series)).to.eql([
expect(getSplits(resp, panel, series)).to.eql([
{
id: 'SERIES',
label: 'Overall Average of Average of cpu',
@ -32,6 +33,57 @@ describe('getSplits(resp, series)', () => {
]);
});
it('should return a splits for terms group bys for top_n', () => {
const resp = {
aggregations: {
SERIES: {
buckets: [
{
key: 'example-01',
timeseries: { buckets: [] },
SIBAGG: { value: 1 }
},
{
key: 'example-02',
timeseries: { buckets: [] },
SIBAGG: { value: 2 }
}
]
}
}
};
const series = {
id: 'SERIES',
color: '#F00',
split_mode: 'terms',
terms_field: 'beat.hostname',
terms_size: 10,
metrics: [
{ id: 'AVG', type: 'avg', field: 'cpu' },
{ id: 'SIBAGG', type: 'avg_bucket', field: 'AVG' }
]
};
const panel = { type: 'top_n' };
expect(getSplits(resp, panel, series)).to.eql([
{
id: 'SERIES:example-01',
key: 'example-01',
label: 'example-01',
color: '#FF0000',
timeseries: { buckets: [] },
SIBAGG: { value: 1 }
},
{
id: 'SERIES:example-02',
key: 'example-02',
label: 'example-02',
color: '#FF0000',
timeseries: { buckets: [] },
SIBAGG: { value: 2 }
}
]);
});
it('should return a splits for terms group bys', () => {
const resp = {
aggregations: {
@ -62,7 +114,8 @@ describe('getSplits(resp, series)', () => {
{ id: 'SIBAGG', type: 'avg_bucket', field: 'AVG' }
]
};
expect(getSplits(resp, series)).to.eql([
const panel = { type: 'timeseries' };
expect(getSplits(resp, panel, series)).to.eql([
{
id: 'SERIES:example-01',
key: 'example-01',
@ -109,7 +162,8 @@ describe('getSplits(resp, series)', () => {
{ id: 'COUNT', type: 'count' },
]
};
expect(getSplits(resp, series)).to.eql([
const panel = { type: 'timeseries' };
expect(getSplits(resp, panel, series)).to.eql([
{
id: 'SERIES:filter-1',
key: 'filter-1',

6
src/core_plugins/metrics/server/lib/vis_data/helpers/get_splits.js
View file

@ -4,7 +4,8 @@ import _ from 'lodash';
import getLastMetric from './get_last_metric';
import getSplitColors from './get_split_colors';
import { formatKey } from './format_key';
export default function getSplits(resp, series) {
export default function getSplits(resp, panel, series) {
const color = new Color(series.color);
const metric = getLastMetric(series);
if (_.has(resp, `aggregations.${series.id}.buckets`)) {
const buckets = _.get(resp, `aggregations.${series.id}.buckets`);
@ -14,7 +15,7 @@ export default function getSplits(resp, series) {
return buckets.map(bucket => {
bucket.id = `${series.id}:${bucket.key}`;
bucket.label = formatKey(bucket.key, series);
bucket.color = colors.shift();
bucket.color = panel.type === 'top_n' ? color.hex() : colors.shift();
return bucket;
});
}
@ -31,7 +32,6 @@ export default function getSplits(resp, series) {
}
}
const color = new Color(series.color);
const timeseries = _.get(resp, `aggregations.${series.id}.timeseries`);
const mergeObj = {
timeseries

2
src/core_plugins/metrics/server/lib/vis_data/response_processors/series/percentile.js
View file

@ -8,7 +8,7 @@ export default function percentile(resp, panel, series) {
const metric = getLastMetric(series);
if (metric.type !== 'percentile') return next(results);
getSplits(resp, series).forEach((split) => {
getSplits(resp, panel, series).forEach((split) => {
metric.percentiles.forEach(percentile => {
const label = (split.label) + ` (${percentile.value})`;
const data = split.timeseries.buckets.map(bucket => {

2
src/core_plugins/metrics/server/lib/vis_data/response_processors/series/std_deviation_bands.js
View file

@ -6,7 +6,7 @@ export default function stdDeviationBands(resp, panel, series) {
return next => results => {
const metric = getLastMetric(series);
if (metric.type === 'std_deviation' && metric.mode === 'band') {
getSplits(resp, series).forEach((split) => {
getSplits(resp, panel, series).forEach((split) => {
const upper = split.timeseries.buckets.map(mapBucket(_.assign({}, metric, { mode: 'upper' })));
const lower = split.timeseries.buckets.map(mapBucket(_.assign({}, metric, { mode: 'lower' })));
results.push({

2
src/core_plugins/metrics/server/lib/vis_data/response_processors/series/std_deviation_sibling.js
View file

@ -6,7 +6,7 @@ export default function stdDeviationSibling(resp, panel, series) {
return next => results => {
const metric = getLastMetric(series);
if (metric.mode === 'band' && metric.type === 'std_deviation_bucket') {
getSplits(resp, series).forEach((split) => {
getSplits(resp, panel, series).forEach((split) => {
const mapBucketByMode = (mode) => {
return bucket => {

2
src/core_plugins/metrics/server/lib/vis_data/response_processors/series/std_metric.js
View file

@ -13,7 +13,7 @@ export default function stdMetric(resp, panel, series) {
}
if (/_bucket$/.test(metric.type)) return next(results);
const decoration = getDefaultDecoration(series);
getSplits(resp, series).forEach((split) => {
getSplits(resp, panel, series).forEach((split) => {
const data = split.timeseries.buckets.map(mapBucket(metric));
results.push({
id: `${split.id}`,

2
src/core_plugins/metrics/server/lib/vis_data/response_processors/series/std_sibling.js
View file

@ -10,7 +10,7 @@ export default function stdSibling(resp, panel, series) {
if (metric.type === 'std_deviation_bucket' && metric.mode === 'band') return next(results);
const decoration = getDefaultDecoration(series);
getSplits(resp, series).forEach((split) => {
getSplits(resp, panel, series).forEach((split) => {
const data = split.timeseries.buckets.map(bucket => {
return [bucket.key, getSiblingAggValue(split, metric)];
});