* Update security solution telemetry to use ML providers
This interface recently changed and we're now able to use the ML
contract to retrieve these values. A few unnecessary arguments are
stubbed as we're in a non-user, non-request context.
* Simplify our capabilities stub assignment
This is more legible but still gets the point across; the intermediate
variable was explicit but ultimately unnnecessary.
* Update tests following telemetry refactor
We're not calling different methods, so our mocks need to change
slightly.
* move last snapshot to inline
* move legacy files to legacy subfolder
* move request types out of legacy
* export Headers from http instead of elasticsearch
* renaming - first pass
* renaming - second pass
* fix core mocks
* adapt new calls
* update generated doc
* fix IT test mocks
* fix new usages
* Closes#68485 by:
- use the ML plugin to query for all APM jobs
- inspect the ml job groups to find all jobs related to a particular service
- use the mlAnomalySearch client to get ml job buckets with the max anomaly score
- query for the model_plot buckets to obtain actual/median values for the ML description
- return the relevant ML job with the max anomaly score for a service
- indicate to the user that no anomalies were found for a service with an ml job
* - Use the anomalyDetectorsProvider jobs API rather than the search endpoint directly
- Defines a specific return type for the ml jobs api
- Update the empty anomaly data message
* Code and types cleanup
* Return to using record result type on anomaly queries. These are the
same values used in the anomaly explorer and it includes actual &
typical values which greatly improve performance of the previous query.
* - If anomaly data is missing show a gray border around node
* - moved AnomalyDetection out of service map Contents into own component
Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com>
* [ML] Client side cut over
* updating paths and commented code
* changes based on review
* disabling telemetry tests
* fixing start job stylesheets
* fixing everything that is broken
* fixing types and ml icon order
* using icon constant
* [ML] Adding shared services to ml setup contract
* adding data recognizer
* typescripting js client
* adding results service
* code clean up
* adding generic ml index search
* making cloud optional