* update vega version * a11y skip test * a11y skip test attempt 2 * adding back all a11y tests * fix failed karma test * remove extra 0BSD license * coalesce yarn.lock versions a little * update kbn/pm dist * fix CI * fix Vega View for ML Co-authored-by: Michail Yasonik <michail.yasonik@elastic.co> Co-authored-by: spalger <spalger@users.noreply.github.com> Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com> # Conflicts: # packages/kbn-pm/dist/index.js # yarn.lock
This commit is contained in:
parent
f6e9d70d5b
commit
11e89cf95c
26 changed files with 2317 additions and 2200 deletions
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@ -32,7 +32,7 @@ image::images/vega_lite_default.png[]
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The default visualization uses Vega-Lite version 2. To use Vega version 4, edit
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the `schema`.
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Go to `$schema`, enter `https://vega.github.io/schema/vega/v4.json`, then click
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Go to `$schema`, enter `https://vega.github.io/schema/vega/v5.json`, then click
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*Update*.
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[float]
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@ -276,9 +276,9 @@
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"uuid": "3.3.2",
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"val-loader": "^1.1.1",
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"validate-npm-package-name": "2.2.2",
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"vega-lib": "4.3.0",
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"vega-lite": "^2.6.0",
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"vega-schema-url-parser": "1.0.0",
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"vega": "^5.13.0",
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"vega-lite": "^4.13.1",
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"vega-schema-url-parser": "^1.1.0",
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"vega-tooltip": "^0.12.0",
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"vision": "^5.3.3",
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"webpack": "^4.41.5",
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@ -155,7 +155,7 @@ export function getWebpackConfig(bundle: Bundle, worker: WorkerConfig) {
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noParse: [
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/[\/\\]node_modules[\/\\]elasticsearch-browser[\/\\]/,
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/[\/\\]node_modules[\/\\]lodash[\/\\]index\.js$/,
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/[\/\\]node_modules[\/\\]vega-lib[\/\\]build[\/\\]vega\.js$/,
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/[\/\\]node_modules[\/\\]vega[\/\\]build[\/\\]vega\.js$/,
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],
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rules: [
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3309
packages/kbn-pm/dist/index.js
vendored
3309
packages/kbn-pm/dist/index.js
vendored
File diff suppressed because one or more lines are too long
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@ -1,7 +1,7 @@
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{
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// Adapted from Vega's https://vega.github.io/vega/examples/stacked-area-chart/
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$schema: https://vega.github.io/schema/vega/v3.0.json
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$schema: https://vega.github.io/schema/vega/v5.json
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data: [
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{
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name: table
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@ -1,7 +1,7 @@
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# This graph creates a single rectangle for the whole graph on top of a map
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# Note that the actual map tiles are not loaded
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{
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$schema: https://vega.github.io/schema/vega/v3.0.json
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$schema: https://vega.github.io/schema/vega/v5.json
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config: {
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kibana: {type: "map", mapStyle: false}
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}
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@ -24,7 +24,7 @@
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]
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}
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]
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$schema: https://vega.github.io/schema/vega/v3.json
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$schema: https://vega.github.io/schema/vega/v5.json
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marks: [
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{
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from: {data: "table"}
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@ -333,7 +333,7 @@ describe('VegaVisualizations', () => {
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vegaVis = new VegaVisualization(domNode, vis);
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const vegaParser = new VegaParser(
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`{
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"$schema": "https://vega.github.io/schema/vega/v3.json",
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"$schema": "https://vega.github.io/schema/vega/v5.json",
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"marks": [
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{
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"type": "text",
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@ -366,11 +366,6 @@ describe('VegaVisualizations', () => {
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await vegaVis.render(vegaParser, vis.params, { data: true });
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const vegaView = vegaVis._vegaView._view;
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expect(vegaView.height()).to.be(250.00000001);
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vegaView.height(250);
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await vegaView.runAsync();
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// as soon as this test fails, the workaround with the subpixel value can be removed.
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expect(vegaView.height()).to.be(0);
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} finally {
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vegaVis.destroy();
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}
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@ -1,5 +1,5 @@
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{
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$schema: https://vega.github.io/schema/vega-lite/v2.json
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$schema: https://vega.github.io/schema/vega-lite/v4.json
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data: {
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format: {property: "aggregations.time_buckets.buckets"}
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values: {
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@ -24,7 +24,7 @@ export const UI_EXPORT_DEFAULTS = {
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webpackNoParseRules: [
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/node_modules[\/\\](angular|elasticsearch-browser)[\/\\]/,
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/node_modules[\/\\](mocha|moment)[\/\\]/,
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/node_modules[\/\\]vega-lib[\/\\]build[\/\\]vega\.js$/,
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/node_modules[\/\\]vega[\/\\]build[\/\\]vega\.js$/,
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],
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webpackAliases: {
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@ -420,7 +420,7 @@ export const getSavedObjects = (): SavedObject[] => [
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defaultMessage: '[Flights] Airport Connections (Hover Over Airport)',
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}),
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visState:
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'{"aggs":[],"params":{"spec":"{\\n $schema: https://vega.github.io/schema/vega/v3.0.json\\n config: {\\n kibana: {type: \\"map\\", latitude: 25, longitude: -70, zoom: 3}\\n }\\n data: [\\n {\\n name: table\\n url: {\\n index: kibana_sample_data_flights\\n %context%: true\\n // Uncomment to enable time filtering\\n // %timefield%: timestamp\\n body: {\\n size: 0\\n aggs: {\\n origins: {\\n terms: {field: \\"OriginAirportID\\", size: 10000}\\n aggs: {\\n originLocation: {\\n top_hits: {\\n size: 1\\n _source: {\\n includes: [\\"OriginLocation\\", \\"Origin\\"]\\n }\\n }\\n }\\n distinations: {\\n terms: {field: \\"DestAirportID\\", size: 10000}\\n aggs: {\\n destLocation: {\\n top_hits: {\\n size: 1\\n _source: {\\n includes: [\\"DestLocation\\"]\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n format: {property: \\"aggregations.origins.buckets\\"}\\n transform: [\\n {\\n type: geopoint\\n projection: projection\\n fields: [\\n originLocation.hits.hits[0]._source.OriginLocation.lon\\n originLocation.hits.hits[0]._source.OriginLocation.lat\\n ]\\n }\\n ]\\n }\\n {\\n name: selectedDatum\\n on: [\\n {trigger: \\"!selected\\", remove: true}\\n {trigger: \\"selected\\", insert: \\"selected\\"}\\n ]\\n }\\n ]\\n signals: [\\n {\\n name: selected\\n value: null\\n on: [\\n {events: \\"@airport:mouseover\\", update: \\"datum\\"}\\n {events: \\"@airport:mouseout\\", update: \\"null\\"}\\n ]\\n }\\n ]\\n scales: [\\n {\\n name: airportSize\\n type: linear\\n domain: {data: \\"table\\", field: \\"doc_count\\"}\\n range: [\\n {signal: \\"zoom*zoom*0.2+1\\"}\\n {signal: \\"zoom*zoom*10+1\\"}\\n ]\\n }\\n ]\\n marks: [\\n {\\n type: group\\n from: {\\n facet: {\\n name: facetedDatum\\n data: selectedDatum\\n field: distinations.buckets\\n }\\n }\\n data: [\\n {\\n name: facetDatumElems\\n source: facetedDatum\\n transform: [\\n {\\n type: geopoint\\n projection: projection\\n fields: [\\n destLocation.hits.hits[0]._source.DestLocation.lon\\n destLocation.hits.hits[0]._source.DestLocation.lat\\n ]\\n }\\n {type: \\"formula\\", expr: \\"{x:parent.x, y:parent.y}\\", as: \\"source\\"}\\n {type: \\"formula\\", expr: \\"{x:datum.x, y:datum.y}\\", as: \\"target\\"}\\n {type: \\"linkpath\\", shape: \\"diagonal\\"}\\n ]\\n }\\n ]\\n scales: [\\n {\\n name: lineThickness\\n type: linear\\n domain: {data: \\"facetDatumElems\\", field: \\"doc_count\\"}\\n range: [1, 8]\\n }\\n {\\n name: lineOpacity\\n type: linear\\n domain: {data: \\"facetDatumElems\\", field: \\"doc_count\\"}\\n range: [0.2, 0.8]\\n }\\n ]\\n marks: [\\n {\\n from: {data: \\"facetDatumElems\\"}\\n type: path\\n interactive: false\\n encode: {\\n update: {\\n path: {field: \\"path\\"}\\n stroke: {value: \\"black\\"}\\n strokeWidth: {scale: \\"lineThickness\\", field: \\"doc_count\\"}\\n strokeOpacity: {scale: \\"lineOpacity\\", field: \\"doc_count\\"}\\n }\\n }\\n }\\n ]\\n }\\n {\\n name: airport\\n type: symbol\\n from: {data: \\"table\\"}\\n encode: {\\n update: {\\n size: {scale: \\"airportSize\\", field: \\"doc_count\\"}\\n xc: {signal: \\"datum.x\\"}\\n yc: {signal: \\"datum.y\\"}\\n tooltip: {\\n signal: \\"{title: datum.originLocation.hits.hits[0]._source.Origin + \' (\' + datum.key + \')\', connnections: length(datum.distinations.buckets), flights: datum.doc_count}\\"\\n }\\n }\\n }\\n }\\n ]\\n}"},"title":"[Flights] Airport Connections (Hover Over Airport)","type":"vega"}',
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'{"aggs":[],"params":{"spec":"{\\n $schema: https://vega.github.io/schema/vega/v5.json\\n config: {\\n kibana: {type: \\"map\\", latitude: 25, longitude: -70, zoom: 3}\\n }\\n data: [\\n {\\n name: table\\n url: {\\n index: kibana_sample_data_flights\\n %context%: true\\n // Uncomment to enable time filtering\\n // %timefield%: timestamp\\n body: {\\n size: 0\\n aggs: {\\n origins: {\\n terms: {field: \\"OriginAirportID\\", size: 10000}\\n aggs: {\\n originLocation: {\\n top_hits: {\\n size: 1\\n _source: {\\n includes: [\\"OriginLocation\\", \\"Origin\\"]\\n }\\n }\\n }\\n distinations: {\\n terms: {field: \\"DestAirportID\\", size: 10000}\\n aggs: {\\n destLocation: {\\n top_hits: {\\n size: 1\\n _source: {\\n includes: [\\"DestLocation\\"]\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n }\\n format: {property: \\"aggregations.origins.buckets\\"}\\n transform: [\\n {\\n type: geopoint\\n projection: projection\\n fields: [\\n originLocation.hits.hits[0]._source.OriginLocation.lon\\n originLocation.hits.hits[0]._source.OriginLocation.lat\\n ]\\n }\\n ]\\n }\\n {\\n name: selectedDatum\\n on: [\\n {trigger: \\"!selected\\", remove: true}\\n {trigger: \\"selected\\", insert: \\"selected\\"}\\n ]\\n }\\n ]\\n signals: [\\n {\\n name: selected\\n value: null\\n on: [\\n {events: \\"@airport:mouseover\\", update: \\"datum\\"}\\n {events: \\"@airport:mouseout\\", update: \\"null\\"}\\n ]\\n }\\n ]\\n scales: [\\n {\\n name: airportSize\\n type: linear\\n domain: {data: \\"table\\", field: \\"doc_count\\"}\\n range: [\\n {signal: \\"zoom*zoom*0.2+1\\"}\\n {signal: \\"zoom*zoom*10+1\\"}\\n ]\\n }\\n ]\\n marks: [\\n {\\n type: group\\n from: {\\n facet: {\\n name: facetedDatum\\n data: selectedDatum\\n field: distinations.buckets\\n }\\n }\\n data: [\\n {\\n name: facetDatumElems\\n source: facetedDatum\\n transform: [\\n {\\n type: geopoint\\n projection: projection\\n fields: [\\n destLocation.hits.hits[0]._source.DestLocation.lon\\n destLocation.hits.hits[0]._source.DestLocation.lat\\n ]\\n }\\n {type: \\"formula\\", expr: \\"{x:parent.x, y:parent.y}\\", as: \\"source\\"}\\n {type: \\"formula\\", expr: \\"{x:datum.x, y:datum.y}\\", as: \\"target\\"}\\n {type: \\"linkpath\\", shape: \\"diagonal\\"}\\n ]\\n }\\n ]\\n scales: [\\n {\\n name: lineThickness\\n type: log\\n clamp: true\\n range: [1, 8]\\n }\\n {\\n name: lineOpacity\\n type: log\\n clamp: true\\n range: [0.2, 0.8]\\n }\\n ]\\n marks: [\\n {\\n from: {data: \\"facetDatumElems\\"}\\n type: path\\n interactive: false\\n encode: {\\n update: {\\n path: {field: \\"path\\"}\\n stroke: {value: \\"black\\"}\\n strokeWidth: {scale: \\"lineThickness\\", field: \\"doc_count\\"}\\n strokeOpacity: {scale: \\"lineOpacity\\", field: \\"doc_count\\"}\\n }\\n }\\n }\\n ]\\n }\\n {\\n name: airport\\n type: symbol\\n from: {data: \\"table\\"}\\n encode: {\\n update: {\\n size: {scale: \\"airportSize\\", field: \\"doc_count\\"}\\n xc: {signal: \\"datum.x\\"}\\n yc: {signal: \\"datum.y\\"}\\n tooltip: {\\n signal: \\"{title: datum.originLocation.hits.hits[0]._source.Origin + \' (\' + datum.key + \')\', connnections: length(datum.distinations.buckets), flights: datum.doc_count}\\"\\n }\\n }\\n }\\n }\\n ]\\n}"},"title":"[Flights] Airport Connections (Hover Over Airport)","type":"vega"}',
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uiStateJSON: '{}',
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description: '',
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version: 1,
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File diff suppressed because one or more lines are too long
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@ -18,8 +18,7 @@
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*/
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import _ from 'lodash';
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import * as vega from 'vega-lib';
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import * as vegaLite from 'vega-lite';
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import { vega, vegaLite } from '../lib/vega';
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import schemaParser from 'vega-schema-url-parser';
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import versionCompare from 'compare-versions';
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import { EsQueryParser } from './es_query_parser';
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@ -32,15 +31,13 @@ import { i18n } from '@kbn/i18n';
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// Set default single color to match other Kibana visualizations
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const defaultColor = VISUALIZATION_COLORS[0];
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const DEFAULT_SCHEMA = 'https://vega.github.io/schema/vega/v3.0.json';
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const locToDirMap = {
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left: 'row-reverse',
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right: 'row',
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top: 'column-reverse',
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bottom: 'column',
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};
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const DEFAULT_SCHEMA = 'https://vega.github.io/schema/vega/v5.json';
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// If there is no "%type%" parameter, use this parser
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const DEFAULT_PARSER = 'elasticsearch';
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@ -20,8 +20,14 @@
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import { cloneDeep } from 'lodash';
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import { VegaParser } from './vega_parser';
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import { bypassExternalUrlCheck } from '../vega_view/vega_base_view';
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jest.mock('../services');
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jest.mock('../lib/vega', () => ({
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vega: jest.requireActual('vega'),
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vegaLite: jest.requireActual('vega-lite'),
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}));
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describe(`VegaParser._setDefaultValue`, () => {
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function check(spec, expected, ...params) {
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return () => {
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@ -146,30 +152,30 @@ describe('VegaParser._parseSchema', () => {
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test('should warn on no vega version specified', () => {
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const vp = new VegaParser({});
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expect(vp._parseSchema()).toBe(false);
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expect(vp.spec).toEqual({ $schema: 'https://vega.github.io/schema/vega/v3.0.json' });
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expect(vp.spec).toEqual({ $schema: 'https://vega.github.io/schema/vega/v5.json' });
|
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expect(vp.warnings).toHaveLength(1);
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});
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test(
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'should not warn on current vega version',
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check('https://vega.github.io/schema/vega/v4.0.json', false, 0)
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check('https://vega.github.io/schema/vega/v5.json', false, 0)
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||||
);
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test(
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'should not warn on older vega version',
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check('https://vega.github.io/schema/vega/v3.0.json', false, 0)
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check('https://vega.github.io/schema/vega/v4.json', false, 0)
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);
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test(
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'should warn on vega version too new to be supported',
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check('https://vega.github.io/schema/vega/v5.0.json', false, 1)
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check('https://vega.github.io/schema/vega/v5.99.json', false, 1)
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);
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test(
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'should not warn on current vega-lite version',
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check('https://vega.github.io/schema/vega-lite/v2.0.json', true, 0)
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check('https://vega.github.io/schema/vega-lite/v4.json', true, 0)
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);
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test(
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'should warn on vega-lite version too new to be supported',
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check('https://vega.github.io/schema/vega-lite/v3.0.json', true, 1)
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check('https://vega.github.io/schema/vega-lite/v5.json', true, 1)
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||||
);
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});
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|
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|
@ -6,7 +6,7 @@ Welcome to Vega visualizations. Here you can design your own dataviz from scrat
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This example graph shows the document count in all indexes in the current time range. You might need to adjust the time filter in the upper right corner.
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*/
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$schema: https://vega.github.io/schema/vega-lite/v2.json
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$schema: https://vega.github.io/schema/vega-lite/v4.json
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title: Event counts from all indexes
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// Define the data source
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|
|
23
src/plugins/vis_type_vega/public/lib/vega.js
Normal file
23
src/plugins/vis_type_vega/public/lib/vega.js
Normal file
|
@ -0,0 +1,23 @@
|
|||
/*
|
||||
* Licensed to Elasticsearch B.V. under one or more contributor
|
||||
* license agreements. See the NOTICE file distributed with
|
||||
* this work for additional information regarding copyright
|
||||
* ownership. Elasticsearch B.V. licenses this file to you under
|
||||
* the Apache License, Version 2.0 (the "License"); you may
|
||||
* not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing,
|
||||
* software distributed under the License is distributed on an
|
||||
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
|
||||
* KIND, either express or implied. See the License for the
|
||||
* specific language governing permissions and limitations
|
||||
* under the License.
|
||||
*/
|
||||
|
||||
import * as vegaLite from 'vega-lite/build-es5/vega-lite';
|
||||
import * as vega from 'vega/build-es5/vega';
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||||
|
||||
export { vega, vegaLite };
|
|
@ -20,8 +20,7 @@
|
|||
import $ from 'jquery';
|
||||
import moment from 'moment';
|
||||
import dateMath from '@elastic/datemath';
|
||||
import * as vega from 'vega-lib';
|
||||
import * as vegaLite from 'vega-lite';
|
||||
import { vega, vegaLite } from '../lib/vega';
|
||||
import { Utils } from '../data_model/utils';
|
||||
import { VISUALIZATION_COLORS } from '@elastic/eui';
|
||||
import { i18n } from '@kbn/i18n';
|
||||
|
|
|
@ -17,8 +17,8 @@
|
|||
* under the License.
|
||||
*/
|
||||
|
||||
import * as vega from 'vega-lib';
|
||||
import { i18n } from '@kbn/i18n';
|
||||
import { vega } from '../lib/vega';
|
||||
import { VegaBaseView } from './vega_base_view';
|
||||
import { VegaMapLayer } from './vega_map_layer';
|
||||
import { getEmsTileLayerId, getUISettings, getKibanaMapFactory } from '../services';
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||||
|
|
|
@ -17,7 +17,7 @@
|
|||
* under the License.
|
||||
*/
|
||||
|
||||
import * as vega from 'vega-lib';
|
||||
import { vega } from '../lib/vega';
|
||||
import { VegaBaseView } from './vega_base_view';
|
||||
|
||||
export class VegaView extends VegaBaseView {
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||||
|
|
|
@ -70,7 +70,12 @@ export function A11yProvider({ getService }: FtrProviderContext) {
|
|||
exclude: ([] as string[])
|
||||
.concat(excludeTestSubj || [])
|
||||
.map((ts) => [testSubjectToCss(ts)])
|
||||
.concat([['.ace_scrollbar']]),
|
||||
.concat([
|
||||
['.ace_scrollbar'],
|
||||
[
|
||||
'.leaflet-vega-container[role="graphics-document"][aria-roledescription="visualization"]',
|
||||
],
|
||||
]),
|
||||
};
|
||||
}
|
||||
|
||||
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onClick={[Function]}
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|
@ -3459,7 +3459,7 @@ Array [
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cx={96}
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cy={150.08754675200004}
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cy={150.087546752}
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onContextMenu={[Function]}
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onMouseOut={[Function]}
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|
@ -3476,7 +3476,7 @@ Array [
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cx={120}
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cy={141.3676243200001}
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cy={141.36762432000006}
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onClick={[Function]}
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onContextMenu={[Function]}
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onMouseOut={[Function]}
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|
@ -3561,7 +3561,7 @@ Array [
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onContextMenu={[Function]}
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onMouseOut={[Function]}
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|
@ -3578,7 +3578,7 @@ Array [
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cy={145.21265574400002}
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cy={145.21265574400005}
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onContextMenu={[Function]}
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onMouseOut={[Function]}
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@ -3663,7 +3663,7 @@ Array [
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onContextMenu={[Function]}
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@ -3680,7 +3680,7 @@ Array [
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cy={116.49645113600002}
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@ -3714,7 +3714,7 @@ Array [
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onContextMenu={[Function]}
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@ -3765,7 +3765,7 @@ Array [
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@ -3884,7 +3884,7 @@ Array [
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@ -3923,7 +3923,7 @@ Array [
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onMouseOut={[Function]}
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@ -3978,7 +3978,7 @@ Array [
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@ -4476,7 +4476,7 @@ Array [
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onMouseOut={[Function]}
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|
@ -4633,7 +4633,7 @@ Array [
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onMouseOut={[Function]}
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|
@ -4667,7 +4667,7 @@ Array [
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cy={187.9993893818182}
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onMouseOut={[Function]}
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|
@ -4701,7 +4701,7 @@ Array [
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onMouseOut={[Function]}
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|
|
|
@ -522,7 +522,7 @@ exports[`Histogram Initially should have default markup 1`] = `
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<rect
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onContextMenu={[Function]}
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onMouseOut={[Function]}
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|
@ -538,7 +538,7 @@ exports[`Histogram Initially should have default markup 1`] = `
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|||
}
|
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width={22.62857142857142}
|
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x={126.97142857142858}
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|
@ -576,7 +576,7 @@ exports[`Histogram Initially should have default markup 1`] = `
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}
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x={177.25714285714287}
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|
@ -595,10 +595,10 @@ exports[`Histogram Initially should have default markup 1`] = `
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}
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|
||||
x={202.40000000000003}
|
||||
y={8.145454545454555}
|
||||
y={8.145454545454548}
|
||||
/>
|
||||
<rect
|
||||
height={93.67272727272727}
|
||||
height={93.67272727272726}
|
||||
onClick={[Function]}
|
||||
onContextMenu={[Function]}
|
||||
onMouseOut={[Function]}
|
||||
|
@ -614,7 +614,7 @@ exports[`Histogram Initially should have default markup 1`] = `
|
|||
}
|
||||
width={22.628571428571462}
|
||||
x={227.54285714285712}
|
||||
y={18.327272727272728}
|
||||
y={18.327272727272735}
|
||||
/>
|
||||
<rect
|
||||
height={26.47272727272727}
|
||||
|
@ -655,7 +655,7 @@ exports[`Histogram Initially should have default markup 1`] = `
|
|||
y={97.74545454545455}
|
||||
/>
|
||||
<rect
|
||||
height={8.145454545454541}
|
||||
height={8.145454545454555}
|
||||
onClick={[Function]}
|
||||
onContextMenu={[Function]}
|
||||
onMouseOut={[Function]}
|
||||
|
@ -671,7 +671,7 @@ exports[`Histogram Initially should have default markup 1`] = `
|
|||
}
|
||||
width={22.62857142857149}
|
||||
x={302.97142857142853}
|
||||
y={103.85454545454546}
|
||||
y={103.85454545454544}
|
||||
/>
|
||||
<rect
|
||||
height={6.109090909090909}
|
||||
|
@ -712,7 +712,7 @@ exports[`Histogram Initially should have default markup 1`] = `
|
|||
y={112}
|
||||
/>
|
||||
<rect
|
||||
height={8.145454545454541}
|
||||
height={8.145454545454555}
|
||||
onClick={[Function]}
|
||||
onContextMenu={[Function]}
|
||||
onMouseOut={[Function]}
|
||||
|
@ -728,7 +728,7 @@ exports[`Histogram Initially should have default markup 1`] = `
|
|||
}
|
||||
width={22.628571428571433}
|
||||
x={378.4}
|
||||
y={103.85454545454546}
|
||||
y={103.85454545454544}
|
||||
/>
|
||||
<rect
|
||||
height={0}
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"title": "ML Auditbeat Docker: Process Occurrence - experimental (ECS)",
|
||||
"visState": "{\"type\":\"vega\",\"params\":{\"spec\":\"{\\n $schema: https://vega.github.io/schema/vega-lite/v2.json\\n mark: {type: \\\"point\\\"}\\n data: {\\n url: {\\n index: \\\"INDEX_PATTERN_NAME\\\"\\n body: {\\n size: 10000\\n query: {\\n bool: {\\n must: [\\n %dashboard_context-must_clause%\\n {\\n exists: {field: \\\"process.executable\\\"}\\n }\\n {\\n function_score: {\\n random_score: {seed: 10, field: \\\"_seq_no\\\"}\\n }\\n }\\n {\\n range: {\\n @timestamp: {\\n %timefilter%: true\\n }\\n }\\n }\\n ]\\n must_not: [\\n \\\"%dashboard_context-must_not_clause%\\\"\\n ]\\n }\\n }\\n script_fields: {\\n process_exe: {\\n script: {source: \\\"params['_source']['process']['executable']\\\"}\\n }\\n }\\n _source: [\\\"@timestamp\\\", \\\"process_exe\\\"]\\n }\\n }\\n format: {property: \\\"hits.hits\\\"}\\n }\\n transform: [\\n {calculate: \\\"toDate(datum._source['@timestamp'])\\\", as: \\\"time\\\"}\\n ]\\n encoding: {\\n x: {\\n field: time\\n type: temporal\\n axis: {labels: true, ticks: true, title: false},\\n timeUnit: utcyearmonthdatehoursminutes\\n }\\n y: {\\n field: fields.process_exe\\n type: ordinal\\n sort: {op: \\\"count\\\", order: \\\"descending\\\"}\\n axis: {labels: true, title: \\\"occurrence of process.executable\\\", ticks: false}\\n }\\n }\\n config: {\\n style: {\\n point: {filled: true}\\n }\\n }\\n}\"},\"aggs\":[]}",
|
||||
"visState": "{\"type\":\"vega\",\"params\":{\"spec\":\"{\\n $schema: https://vega.github.io/schema/vega-lite/v4.json\\n width: \\\"container\\\"\\n mark: {type: \\\"point\\\"}\\n data: {\\n url: {\\n index: \\\"INDEX_PATTERN_NAME\\\"\\n body: {\\n size: 10000\\n query: {\\n bool: {\\n must: [\\n %dashboard_context-must_clause%\\n {\\n exists: {field: \\\"process.executable\\\"}\\n }\\n {\\n function_score: {\\n random_score: {seed: 10, field: \\\"_seq_no\\\"}\\n }\\n }\\n {\\n range: {\\n @timestamp: {\\n %timefilter%: true\\n }\\n }\\n }\\n ]\\n must_not: [\\n \\\"%dashboard_context-must_not_clause%\\\"\\n ]\\n }\\n }\\n script_fields: {\\n process_exe: {\\n script: {source: \\\"params['_source']['process']['executable']\\\"}\\n }\\n }\\n _source: [\\\"@timestamp\\\", \\\"process_exe\\\"]\\n }\\n }\\n format: {property: \\\"hits.hits\\\"}\\n }\\n transform: [\\n {calculate: \\\"toDate(datum._source['@timestamp'])\\\", as: \\\"time\\\"}\\n ]\\n encoding: {\\n x: {\\n field: time\\n type: temporal\\n axis: {labels: true, ticks: true, title: false},\\n timeUnit: utcyearmonthdatehoursminutes\\n }\\n y: {\\n field: fields.process_exe\\n type: ordinal\\n sort: {op: \\\"count\\\", order: \\\"descending\\\"}\\n axis: {labels: true, title: \\\"occurrence of process.executable\\\", ticks: false}\\n }\\n }\\n config: {\\n style: {\\n point: {filled: true}\\n }\\n }\\n}\"},\"aggs\":[]}",
|
||||
"uiStateJSON": "{}",
|
||||
"description": "",
|
||||
"savedSearchId": "ml_auditbeat_docker_process_events_ecs",
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"title": "ML Auditbeat Hosts: Process Occurrence - experimental (ECS)",
|
||||
"visState": "{\"type\":\"vega\",\"params\":{\"spec\":\"{\\n $schema: https://vega.github.io/schema/vega-lite/v2.json\\n mark: {type: \\\"point\\\"}\\n data: {\\n url: {\\n index: \\\"INDEX_PATTERN_NAME\\\"\\n body: {\\n size: 10000\\n query: {\\n bool: {\\n must: [\\n %dashboard_context-must_clause%\\n {\\n exists: {field: \\\"process.executable\\\"}\\n }\\n {\\n function_score: {\\n random_score: {seed: 10, field: \\\"_seq_no\\\"}\\n }\\n }\\n {\\n range: {\\n @timestamp: {\\n %timefilter%: true\\n }\\n }\\n }\\n ]\\n must_not: [\\n \\\"%dashboard_context-must_not_clause%\\\"\\n ]\\n }\\n }\\n script_fields: {\\n process_exe: {\\n script: {source: \\\"params['_source']['process']['executable']\\\"}\\n }\\n }\\n _source: [\\\"@timestamp\\\", \\\"process_exe\\\"]\\n }\\n }\\n format: {property: \\\"hits.hits\\\"}\\n }\\n transform: [\\n {calculate: \\\"toDate(datum._source['@timestamp'])\\\", as: \\\"time\\\"}\\n ]\\n encoding: {\\n x: {\\n field: time\\n type: temporal\\n axis: {labels: true, ticks: true, title: false},\\n timeUnit: utcyearmonthdatehoursminutes\\n }\\n y: {\\n field: fields.process_exe\\n type: ordinal\\n sort: {op: \\\"count\\\", order: \\\"descending\\\"}\\n axis: {labels: true, title: \\\"occurrence of process.executable\\\", ticks: false}\\n }\\n }\\n config: {\\n style: {\\n point: {filled: true}\\n }\\n }\\n}\"},\"aggs\":[]}",
|
||||
"visState": "{\"type\":\"vega\",\"params\":{\"spec\":\"{\\n $schema: https://vega.github.io/schema/vega-lite/v4.json\\n width: \\\"container\\\"\\n mark: {type: \\\"point\\\"}\\n data: {\\n url: {\\n index: \\\"INDEX_PATTERN_NAME\\\"\\n body: {\\n size: 10000\\n query: {\\n bool: {\\n must: [\\n %dashboard_context-must_clause%\\n {\\n exists: {field: \\\"process.executable\\\"}\\n }\\n {\\n function_score: {\\n random_score: {seed: 10, field: \\\"_seq_no\\\"}\\n }\\n }\\n {\\n range: {\\n @timestamp: {\\n %timefilter%: true\\n }\\n }\\n }\\n ]\\n must_not: [\\n \\\"%dashboard_context-must_not_clause%\\\"\\n ]\\n }\\n }\\n script_fields: {\\n process_exe: {\\n script: {source: \\\"params['_source']['process']['executable']\\\"}\\n }\\n }\\n _source: [\\\"@timestamp\\\", \\\"process_exe\\\"]\\n }\\n }\\n format: {property: \\\"hits.hits\\\"}\\n }\\n transform: [\\n {calculate: \\\"toDate(datum._source['@timestamp'])\\\", as: \\\"time\\\"}\\n ]\\n encoding: {\\n x: {\\n field: time\\n type: temporal\\n axis: {labels: true, ticks: true, title: false},\\n timeUnit: utcyearmonthdatehoursminutes\\n }\\n y: {\\n field: fields.process_exe\\n type: ordinal\\n sort: {op: \\\"count\\\", order: \\\"descending\\\"}\\n axis: {labels: true, title: \\\"occurrence of process.executable\\\", ticks: false}\\n }\\n }\\n config: {\\n style: {\\n point: {filled: true}\\n }\\n }\\n}\"},\"aggs\":[]}",
|
||||
"uiStateJSON": "{}",
|
||||
"description": "",
|
||||
"savedSearchId": "ml_auditbeat_hosts_process_events_ecs",
|
||||
|
|
Loading…
Reference in a new issue