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[ML] Improve support for script and aggregation fields in anomaly detection jobs #81923
[ML] Improve support for script and aggregation fields in anomaly detection jobs #81923
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…ggregation-fields
Pinging @elastic/ml-ui (:ml) |
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Added a few minor comments, but generally LGTM
I'll approve once i've tested it.
@@ -32,7 +32,11 @@ import { | |||
FieldHistogramRequestConfig, | |||
FieldRequestConfig, | |||
} from '../../datavisualizer/index_based/common'; | |||
import { DataRecognizerConfigResponse, Module } from '../../../../common/types/modules'; | |||
import { | |||
DatafeedOverride, |
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DatafeedOverride
is for overriding the datafeed config when calling the module setup and so i don't think should be used here.
It looks like the standard Datafeed
interface would be better suited throughout this PR.
@@ -415,7 +415,7 @@ export function resultsServiceProvider(mlApiServices) { | |||
influencerFieldValues: { | |||
terms: { | |||
field: 'influencer_field_value', | |||
size: maxResults !== undefined ? maxResults : 2, | |||
size: !!maxResults ? maxResults : 2, |
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this change is subtle but using a falsey check like !!
rather than an explicit check for undefined
changes its behaviour.
if maxResults
is 0
it would now default to 2
Not that 0
is a sensible number, it's just generally dangerous IMO using falsey checks for variables that are numbers.
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Updated here 7355559
): Promise<string[]> { | ||
const { body } = await asCurrentUser.fieldCaps({ | ||
index, | ||
fields: fieldNames, | ||
}); | ||
const aggregatableFields: string[] = []; | ||
const datafeedAggConfig = datafeedConfig?.aggregations ?? datafeedConfig?.aggs; |
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nit, datafeedAggregations
or even just aggregations
might be a better name for this as datafeedAggConfig
is a bit too similar to datafeedConfig
. I missed the difference when first reading it.
The same in other files in this PR.
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Updated here f54c8e8
|
||
// if datafeed has aggregation, require job config to include a valid summary_doc_field_name | ||
const datafeedAggConfig = job.datafeed_config?.aggregations ?? job.datafeed_config?.aggs; | ||
if (datafeedAggConfig !== undefined && !job.analysis_config?.summary_count_field_name) { |
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in the two conditions here, one checks for undefined
and one checks for !
.
Is there a reason for the difference? or could they both be undefined
checks?
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I see that this was two ifs combined based on a previous comment.
being a fussy nitpicker i think they should be the same so not to raised questions further down the line.
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Updated here f54c8e8
…ggregation-fields
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LGTM
@elasticmachine merge upstream |
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Tested and LGTM.
In the follow-up we should try and disable links to the Single Metric Viewer for the configs which we don't support and provide e.g. a callout in the Anomaly Explorer to explain why we aren't displaying anomaly charts.
@elasticmachine merge upstream |
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To update your PR or re-run it, just comment with: |
…ection jobs (elastic#81923) Co-authored-by: Kibana Machine <[email protected]>
…ly detection jobs (#81923) (#83569) Co-authored-by: Kibana Machine <[email protected]> Co-authored-by: Kibana Machine <[email protected]>
* master: (51 commits) [ML] Persisted URL state for the Data frame analytics jobs and models pages (elastic#83439) adds xpack.security.authc.selector.enabled setting (elastic#83551) skip flaky suite (elastic#77279) [ML] Improve support for script and aggregation fields in anomaly detection jobs (elastic#81923) [Workplace Search] Migrate SourcesLogic from ent-search (elastic#83544) [ML] Add UI test for feature importance features (elastic#82677) [Maps] Improve icons for all layer types (elastic#83503) Replace experimental badge with Beta (elastic#83468) [Fleet][EPM] Unified install and archive (elastic#83384) Move src/legacy/server/keystore to src/cli (elastic#83483) Used SO for saving the API key IDs that should be deleted (elastic#82211) [Uptime] Mock implementation to account for math flakiness test (elastic#83535) [Workplace Search] Enable check for org context based on URL (elastic#83487) [App Search] Added all Document related routes and logic (elastic#83324) [Alerting UI] Fix console error when setting connector params (elastic#83333) [Discover] Allow custom name for fields via index pattern field management (elastic#70039) [Uptime] Fix monitor list down histogram (elastic#83411) remove headers timeout hack, rely on nodejs timeouts (elastic#83419) [ML] Update console autocomplete for ML data frame evaluate API (elastic#83151) [Lens] Color in dimension trigger (elastic#76871) ...
Summary
This PR improves support for anomaly charts in the Anomaly Explorer and Single Metric Viewer for jobs which use scripted or aggregation fields in their datafeed configuration and where model plot is not enabled.
script_field
as apartition_field_name
fails validation in anomaly detection advanced job wizard[ML] Using a
script_field
as apartition_field_name
fails validation in AD advanced job wizard #76075 (we now check for the cardinality using the whole script_field)Before
After
Fix datafeed preview to work when something else other than
buckets
is used for aggregationFix anomalies chart advanced wizard not validating correctly for datafeed configs with nested aggregations
Also contains a fix for anomalies not showing in Anomaly Explorer charts when no influencer detected:
Before
After
Note that the following items will be addressed in a follow-up:
buckets
is usedChecklist
Delete any items that are not applicable to this PR.