mirror of
https://github.com/elastic/kibana.git
synced 2025-04-24 01:38:56 -04:00
Updated copy on the pipelines tab and modal when using an API-based
index to explicitly call-out required actions in API requests to run the
ingest pipeline.
(cherry picked from commit 9a8008b00b
)
Co-authored-by: Rodney Norris <rodney.norris@elastic.co>
This commit is contained in:
parent
6329ddbbde
commit
269444493c
2 changed files with 83 additions and 29 deletions
|
@ -25,6 +25,7 @@ import {
|
|||
} from '@elastic/eui';
|
||||
|
||||
import { i18n } from '@kbn/i18n';
|
||||
import { FormattedMessage } from '@kbn/i18n-react';
|
||||
|
||||
import { DEFAULT_PIPELINE_NAME } from '../../../../../../common/constants';
|
||||
|
||||
|
@ -91,21 +92,43 @@ export const IngestPipelineModal: React.FC<IngestPipelineModalProps> = ({
|
|||
<EuiFlexGroup direction="column" gutterSize="none">
|
||||
<EuiFlexItem>
|
||||
<EuiText color="subdued" size="s">
|
||||
{displayOnly
|
||||
? i18n.translate(
|
||||
'xpack.enterpriseSearch.content.index.pipelines.ingestModal.modalBodyAPIText',
|
||||
{
|
||||
defaultMessage:
|
||||
'This pipeline runs automatically on all Crawler and Connector indices created through Enterprise Search. To use this configuration on API-based indices you can use the sample cURL request below.',
|
||||
}
|
||||
)
|
||||
: i18n.translate(
|
||||
'xpack.enterpriseSearch.content.index.pipelines.ingestModal.modalBodyConnectorText',
|
||||
{
|
||||
defaultMessage:
|
||||
'This pipeline runs automatically on all Crawler and Connector indices created through Enterprise Search.',
|
||||
}
|
||||
)}
|
||||
{displayOnly ? (
|
||||
<>
|
||||
<p>
|
||||
<FormattedMessage
|
||||
id="xpack.enterpriseSearch.content.index.pipelines.ingestModal.modalBodyAPIText"
|
||||
defaultMessage="{apiIndex} Changes made to the settings below are for reference only. These settings will not be persisted to your index or pipeline."
|
||||
values={{
|
||||
apiIndex: (
|
||||
<strong>
|
||||
{i18n.translate(
|
||||
'xpack.enterpriseSearch.content.index.pipelines.ingestModal.apiIndex',
|
||||
{ defaultMessage: 'This is an API-based index.' }
|
||||
)}
|
||||
</strong>
|
||||
),
|
||||
}}
|
||||
/>
|
||||
</p>
|
||||
<p>
|
||||
{i18n.translate(
|
||||
'xpack.enterpriseSearch.content.index.pipelines.ingestModal.modalBodyAPITextCont',
|
||||
{
|
||||
defaultMessage:
|
||||
"In order to use this pipeline on your API-based indices you'll need to explicitly reference it in your API requests.",
|
||||
}
|
||||
)}
|
||||
</p>
|
||||
</>
|
||||
) : (
|
||||
i18n.translate(
|
||||
'xpack.enterpriseSearch.content.index.pipelines.ingestModal.modalBodyConnectorText',
|
||||
{
|
||||
defaultMessage:
|
||||
'This pipeline runs automatically on all Crawler and Connector indices created through Enterprise Search.',
|
||||
}
|
||||
)
|
||||
)}
|
||||
</EuiText>
|
||||
</EuiFlexItem>
|
||||
<EuiSpacer />
|
||||
|
|
|
@ -15,6 +15,7 @@ import { i18n } from '@kbn/i18n';
|
|||
|
||||
import { DataPanel } from '../../../../shared/data_panel/data_panel';
|
||||
import { docLinks } from '../../../../shared/doc_links';
|
||||
import { isApiIndex } from '../../../utils/indices';
|
||||
|
||||
import { IngestPipelinesCard } from './ingest_pipelines_card';
|
||||
import { AddMLInferencePipelineButton } from './ml_inference/add_ml_inference_button';
|
||||
|
@ -23,9 +24,15 @@ import { MlInferencePipelineProcessorsCard } from './ml_inference_pipeline_proce
|
|||
import { PipelinesLogic } from './pipelines_logic';
|
||||
|
||||
export const SearchIndexPipelines: React.FC = () => {
|
||||
const { showAddMlInferencePipelineModal } = useValues(PipelinesLogic);
|
||||
const {
|
||||
showAddMlInferencePipelineModal,
|
||||
hasIndexIngestionPipeline,
|
||||
index,
|
||||
pipelineState: { name: pipelineName },
|
||||
} = useValues(PipelinesLogic);
|
||||
const { closeAddMlInferencePipelineModal, openAddMlInferencePipelineModal } =
|
||||
useActions(PipelinesLogic);
|
||||
const apiIndex = isApiIndex(index);
|
||||
|
||||
return (
|
||||
<>
|
||||
|
@ -54,12 +61,23 @@ export const SearchIndexPipelines: React.FC = () => {
|
|||
)}
|
||||
</h2>
|
||||
}
|
||||
subtitle={i18n.translate(
|
||||
'xpack.enterpriseSearch.content.indices.pipelines.ingestionPipeline.subtitle',
|
||||
{
|
||||
defaultMessage: 'Ingest pipelines optimize your index for search applications',
|
||||
}
|
||||
)}
|
||||
subtitle={
|
||||
apiIndex
|
||||
? i18n.translate(
|
||||
'xpack.enterpriseSearch.content.indices.pipelines.ingestionPipeline.apiIndexSubtitle',
|
||||
{
|
||||
defaultMessage:
|
||||
"Ingest pipelines optimize your index for search applications. If you'd like to use these pipelines in your API-based index, you'll need to reference them explicitly in your API requests.",
|
||||
}
|
||||
)
|
||||
: i18n.translate(
|
||||
'xpack.enterpriseSearch.content.indices.pipelines.ingestionPipeline.subtitle',
|
||||
{
|
||||
defaultMessage:
|
||||
'Ingest pipelines optimize your index for search applications',
|
||||
}
|
||||
)
|
||||
}
|
||||
iconType="logstashInput"
|
||||
>
|
||||
<IngestPipelinesCard />
|
||||
|
@ -88,13 +106,26 @@ export const SearchIndexPipelines: React.FC = () => {
|
|||
)}
|
||||
</h2>
|
||||
}
|
||||
subtitle={i18n.translate(
|
||||
'xpack.enterpriseSearch.content.indices.pipelines.mlInferencePipelines.subtitle',
|
||||
{
|
||||
defaultMessage:
|
||||
'Inference pipelines will be run as processors from the Enterprise Search Ingest Pipeline',
|
||||
}
|
||||
)}
|
||||
subtitle={
|
||||
apiIndex && hasIndexIngestionPipeline
|
||||
? i18n.translate(
|
||||
'xpack.enterpriseSearch.content.indices.pipelines.mlInferencePipelines.subtitleAPIindex',
|
||||
{
|
||||
defaultMessage:
|
||||
"Inference pipelines will be run as processors from the Enterprise Search Ingest Pipeline. In order to use these pipeline on API-based indices you'll need to reference the {pipelineName} pipeline in your API requests.",
|
||||
values: {
|
||||
pipelineName,
|
||||
},
|
||||
}
|
||||
)
|
||||
: i18n.translate(
|
||||
'xpack.enterpriseSearch.content.indices.pipelines.mlInferencePipelines.subtitle',
|
||||
{
|
||||
defaultMessage:
|
||||
'Inference pipelines will be run as processors from the Enterprise Search Ingest Pipeline',
|
||||
}
|
||||
)
|
||||
}
|
||||
iconType="compute"
|
||||
action={
|
||||
<AddMLInferencePipelineButton onClick={() => openAddMlInferencePipelineModal()} />
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue