[ML] Data Frame Analytics creation: add messaging when permission requirements are not met (#177720)

## Summary

Fixes https://github.com/elastic/kibana/issues/174125

This PR fixes the way the job creation success is checked - previously a
non-error was considered a success and any returned errors were
swallowed.

The job creation request returns an object containing information on
whether the job was created and whether there were any errors. This
returned object is now checked.

Now the job creation error is shown and job start is only attempted if
creation is truly successful.

Callouts have also been added at the config and details step if there
are permission issues with the selected data views. The user can
continue to use the wizard and create a usable job config but they are
warned that job creation will fail due to the permission issues and are
directed to docs.

Configuration step when insufficient source index permission:

<img width="1698" alt="image"
src="139c6f7b-e365-4b3a-bc03-7b39a359e0a6">

Details step when insufficient destination index permission:

<img width="1716" alt="image"
src="a693b2cc-5797-4fba-9a22-2ca638c5c911">

Creation error now properly shown to user:

<img width="1388" alt="image"
src="16268af2-6054-4e5e-a5a6-d2b43d1d61ab">


### Checklist

Delete any items that are not applicable to this PR.

- [ ] Any text added follows [EUI's writing
guidelines](https://elastic.github.io/eui/#/guidelines/writing), uses
sentence case text and includes [i18n
support](https://github.com/elastic/kibana/blob/main/packages/kbn-i18n/README.md)
- [ ]
[Documentation](https://www.elastic.co/guide/en/kibana/master/development-documentation.html)
was added for features that require explanation or tutorials
- [ ] [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
were updated or added to match the most common scenarios
- [ ] [Flaky Test
Runner](https://ci-stats.kibana.dev/trigger_flaky_test_runner/1) was
used on any tests changed
- [ ] Any UI touched in this PR is usable by keyboard only (learn more
about [keyboard accessibility](https://webaim.org/techniques/keyboard/))
- [ ] Any UI touched in this PR does not create any new axe failures
(run axe in browser:
[FF](https://addons.mozilla.org/en-US/firefox/addon/axe-devtools/),
[Chrome](https://chrome.google.com/webstore/detail/axe-web-accessibility-tes/lhdoppojpmngadmnindnejefpokejbdd?hl=en-US))
- [ ] If a plugin configuration key changed, check if it needs to be
allowlisted in the cloud and added to the [docker
list](https://github.com/elastic/kibana/blob/main/src/dev/build/tasks/os_packages/docker_generator/resources/base/bin/kibana-docker)
- [ ] This renders correctly on smaller devices using a responsive
layout. (You can test this [in your
browser](https://www.browserstack.com/guide/responsive-testing-on-local-server))
- [ ] This was checked for [cross-browser
compatibility](https://www.elastic.co/support/matrix#matrix_browsers)
This commit is contained in:
Melissa Alvarez 2024-02-23 14:36:09 -07:00 committed by GitHub
parent 855f67c14d
commit 79d085ed9c
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
10 changed files with 163 additions and 12 deletions

View file

@ -536,6 +536,8 @@ export const getDocLinks = ({ kibanaBranch, buildFlavor }: GetDocLinkOptions): D
customUrls: `${MACHINE_LEARNING_DOCS}ml-configuring-url.html`,
dataFrameAnalytics: `${MACHINE_LEARNING_DOCS}ml-dfanalytics.html`,
dFAPrepareData: `${MACHINE_LEARNING_DOCS}ml-dfa-overview.html#prepare-transform-data`,
dFAStartJob: `${ELASTICSEARCH_DOCS}start-dfanalytics.html`,
dFACreateJob: `${ELASTICSEARCH_DOCS}put-dfanalytics.html`,
featureImportance: `${MACHINE_LEARNING_DOCS}ml-feature-importance.html`,
outlierDetectionRoc: `${MACHINE_LEARNING_DOCS}ml-dfa-finding-outliers.html#ml-dfanalytics-roc`,
regressionEvaluation: `${MACHINE_LEARNING_DOCS}ml-dfa-regression.html#ml-dfanalytics-regression-evaluation`,

View file

@ -15,6 +15,7 @@ import { ANALYTICS_STEPS } from '../../page';
export interface ConfigurationStepProps extends CreateAnalyticsStepProps {
isClone: boolean;
sourceDataViewTitle: string;
}
export const ConfigurationStep: FC<ConfigurationStepProps> = ({
@ -24,6 +25,7 @@ export const ConfigurationStep: FC<ConfigurationStepProps> = ({
step,
stepActivated,
isClone,
sourceDataViewTitle,
}) => {
const showForm = step === ANALYTICS_STEPS.CONFIGURATION;
const showDetails = step !== ANALYTICS_STEPS.CONFIGURATION && stepActivated === true;
@ -40,6 +42,7 @@ export const ConfigurationStep: FC<ConfigurationStepProps> = ({
isClone={isClone}
state={state}
setCurrentStep={setCurrentStep}
sourceDataViewTitle={sourceDataViewTitle}
/>
)}
{showDetails && <ConfigurationStepDetails setCurrentStep={setCurrentStep} state={state} />}

View file

@ -68,6 +68,7 @@ import { ExplorationQueryBarProps } from '../../../analytics_exploration/compone
import { ScatterplotMatrix } from '../../../../../components/scatterplot_matrix';
import { RuntimeMappings } from '../runtime_mappings';
import { ConfigurationStepProps } from './configuration_step';
import { IndexPermissionsCallout } from '../index_permissions_callout';
const runtimeMappingKey = 'runtime_mapping';
const notIncludedReason = 'field not in includes list';
@ -119,6 +120,7 @@ export const ConfigurationStepForm: FC<ConfigurationStepProps> = ({
isClone,
state,
setCurrentStep,
sourceDataViewTitle,
}) => {
const { selectedDataView, selectedSavedSearch } = useDataSource();
const { savedSearchQuery, savedSearchQueryStr } = useSavedSearch();
@ -583,6 +585,7 @@ export const ConfigurationStepForm: FC<ConfigurationStepProps> = ({
<Fragment>
<Messages messages={requestMessages} />
<SupportedFieldsMessage jobType={jobType} />
<IndexPermissionsCallout indexName={sourceDataViewTitle} docsType="create" />
<JobType type={jobType} setFormState={setFormState} />
{savedSearchQuery === null && (
<EuiFormRow

View file

@ -22,6 +22,7 @@ import { ml } from '../../../../../services/ml_api_service';
import { useCanCreateDataView } from '../../hooks/use_can_create_data_view';
import { useDataViewTimeFields } from '../../hooks/use_data_view_time_fields';
import { AdditionalSection } from './additional_section';
import { IndexPermissionsCallout } from '../index_permissions_callout';
const DEFAULT_RESULTS_FIELD = 'ml';
@ -158,6 +159,7 @@ export const DetailsStepForm: FC<CreateAnalyticsStepProps> = ({
return (
<Fragment>
<IndexPermissionsCallout indexName={destinationIndex} docsType="start" />
<EuiFormRow
fullWidth
label={i18n.translate('xpack.ml.dataframe.analytics.create.jobIdLabel', {

View file

@ -0,0 +1,69 @@
/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0; you may not use this file except in compliance with the Elastic License
* 2.0.
*/
import React, { FC } from 'react';
import { EuiCallOut, EuiLink, EuiSpacer } from '@elastic/eui';
import { FormattedMessage } from '@kbn/i18n-react';
import { i18n } from '@kbn/i18n';
import { useMlKibana } from '../../../../contexts/kibana';
import { useHasRequiredIndicesPermissions } from '../hooks';
export const IndexPermissionsCallout: FC<{ indexName: string; docsType: 'start' | 'create' }> = ({
indexName,
docsType,
}) => {
const {
services: {
docLinks: {
links: {
ml: { dFAStartJob, dFACreateJob },
},
},
},
} = useMlKibana();
const docsLink = docsType === 'start' ? dFAStartJob : dFACreateJob;
const hasRequiredIndicesPermissions = useHasRequiredIndicesPermissions(
indexName,
docsType === 'start'
);
// If 'hasRequiredIndicesPermissions' is undefined - the index passed to the check is an empty string
if (hasRequiredIndicesPermissions === undefined || hasRequiredIndicesPermissions === true) {
return null;
}
return (
<>
<EuiCallOut
title={i18n.translate('xpack.ml.dataframe.analytics.create.permissionsCalloutTitle', {
defaultMessage: 'Indices permissions required',
})}
iconType="warning"
color="warning"
>
<p>
<FormattedMessage
id="xpack.ml.dataframe.analytics.create.indicesPermissionsMessage"
defaultMessage="You don't have the required permissions on the {indexName} index. Refer to the {docLink} for more information on requirements."
values={{
indexName,
docLink: (
<EuiLink href={docsLink} target="_blank">
<FormattedMessage
id="xpack.ml.dataframe.analytics.create.indicesPermissionsMessage.docsLink"
defaultMessage="documentation"
/>
</EuiLink>
),
}}
/>
</p>
</EuiCallOut>
<EuiSpacer />
</>
);
};

View file

@ -6,3 +6,4 @@
*/
export { useIndexData } from './use_index_data';
export { useHasRequiredIndicesPermissions } from './use_has_index_permission';

View file

@ -0,0 +1,53 @@
/*
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
* or more contributor license agreements. Licensed under the Elastic License
* 2.0; you may not use this file except in compliance with the Elastic License
* 2.0.
*/
import { useState, useEffect } from 'react';
import { useMlKibana } from '../../../../contexts/kibana';
export const useHasRequiredIndicesPermissions = (
indexName: string,
isDestIndex: boolean = false
) => {
const [hasIndexPermissions, setHasIndexPermissions] = useState<boolean>(true);
const {
services: {
mlServices: {
mlApiServices: { hasPrivileges },
},
},
} = useMlKibana();
useEffect(
function checkRequiredIndexPermissions() {
async function checkPrivileges() {
const sourceIndexPriv = ['view_index_metadata'];
const destIndexPriv = ['create_index', 'manage', 'index'];
const privileges = await hasPrivileges({
index: [
{
names: [indexName],
privileges: ['read', ...(isDestIndex ? destIndexPriv : sourceIndexPriv)],
},
],
});
setHasIndexPermissions(privileges.hasPrivileges?.has_all_requested === true);
}
checkPrivileges();
},
[hasPrivileges, indexName, isDestIndex]
);
if (indexName === '') {
return;
}
return hasIndexPermissions;
};

View file

@ -103,6 +103,7 @@ export const Page: FC<Props> = ({ jobId }) => {
setCurrentStep={setCurrentStep}
step={currentStep}
stepActivated={activatedSteps[ANALYTICS_STEPS.CONFIGURATION]}
sourceDataViewTitle={selectedDataView.getIndexPattern()}
/>
),
status:
@ -188,7 +189,7 @@ export const Page: FC<Props> = ({ jobId }) => {
<FormattedMessage
id="xpack.ml.dataframe.analytics.creationPageSourceIndexTitle"
defaultMessage="Source data view: {dataViewTitle}"
values={{ dataViewTitle: selectedDataView.title }}
values={{ dataViewTitle: selectedDataView.getIndexPattern() }}
/>
</h2>
</EuiFlexItem>

View file

@ -10,6 +10,7 @@ import { useReducer } from 'react';
import { i18n } from '@kbn/i18n';
import { extractErrorMessage } from '@kbn/ml-error-utils';
import { extractErrorProperties } from '@kbn/ml-error-utils';
import type { DataFrameAnalyticsConfig } from '@kbn/ml-data-frame-analytics-utils';
import { useMlKibana } from '../../../../../contexts/kibana';
@ -91,14 +92,21 @@ export const useCreateAnalyticsForm = (): CreateAnalyticsFormProps => {
const analyticsJobConfig = (
isAdvancedEditorEnabled ? jobConfig : getJobConfigFromFormState(form)
) as DataFrameAnalyticsConfig;
const errorMessage = i18n.translate(
'xpack.ml.dataframe.analytics.create.errorCreatingDataFrameAnalyticsJob',
{
defaultMessage: 'An error occurred creating the data frame analytics job:',
}
);
try {
await ml.dataFrameAnalytics.createDataFrameAnalytics(
const creationResp = await ml.dataFrameAnalytics.createDataFrameAnalytics(
jobId,
analyticsJobConfig,
createDataView,
form.timeFieldName
);
addRequestMessage({
message: i18n.translate(
'xpack.ml.dataframe.stepCreateForm.createDataFrameAnalyticsSuccessMessage',
@ -108,21 +116,29 @@ export const useCreateAnalyticsForm = (): CreateAnalyticsFormProps => {
}
),
});
setIsJobCreated(true);
refresh();
return true;
if (
creationResp.dataFrameAnalyticsJobsCreated.length &&
creationResp.dataFrameAnalyticsJobsErrors.length === 0
) {
setIsJobCreated(true);
refresh();
return true;
} else if (creationResp.dataFrameAnalyticsJobsErrors.length) {
addRequestMessage({
error: extractErrorProperties(creationResp.dataFrameAnalyticsJobsErrors[0].error).message,
message: errorMessage,
});
return false;
}
} catch (e) {
addRequestMessage({
error: extractErrorMessage(e),
message: i18n.translate(
'xpack.ml.dataframe.analytics.create.errorCreatingDataFrameAnalyticsJob',
{
defaultMessage: 'An error occurred creating the data frame analytics job:',
}
),
message: errorMessage,
});
return false;
}
return false;
};
const prepareFormValidation = async () => {

View file

@ -23,6 +23,7 @@ import { useMlKibana } from '../../contexts/kibana';
import type { ValidateAnalyticsJobResponse } from '../../../../common/constants/validation';
import type { DeepPartial } from '../../../../common/types/common';
import type { JobMessage } from '../../../../common/types/audit_message';
import type { PutDataFrameAnalyticsResponseSchema } from '../../../../server/routes/schemas/data_frame_analytics_schema';
export interface GetDataFrameAnalyticsStatsResponseOk {
node_failures?: object;
@ -88,7 +89,7 @@ export const dataFrameAnalyticsApiProvider = (httpService: HttpService) => ({
timeFieldName?: string
) {
const body = JSON.stringify(analyticsConfig);
return httpService.http<any>({
return httpService.http<PutDataFrameAnalyticsResponseSchema>({
path: `${ML_INTERNAL_BASE_PATH}/data_frame/analytics/${analyticsId}`,
method: 'PUT',
query: { createDataView, timeFieldName },