eafd2af6aa
* [ML] Adding capabilities checks to shared functions * small refactor * disabling capabilities checks for functions called by SIEM alerting * testing git * removing comment * using constant for ml app id * tiny type clean up * removing check in ml_capabilities * fixing types * removing capabilities checks from ml_capabilities endpoint * updating types * better error handling * improving capabilities check * adding custom errors Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com> |
||
|---|---|---|
| .. | ||
| apidoc_scripts | ||
| schemas | ||
| annotations.ts | ||
| anomaly_detectors.ts | ||
| apidoc.json | ||
| calendars.ts | ||
| data_frame_analytics.ts | ||
| data_visualizer.ts | ||
| datafeeds.ts | ||
| fields_service.ts | ||
| file_data_visualizer.ts | ||
| filters.ts | ||
| indices.ts | ||
| job_audit_messages.ts | ||
| job_service.ts | ||
| job_validation.ts | ||
| modules.ts | ||
| notification_settings.ts | ||
| README.md | ||
| results_service.ts | ||
| system.ts | ||
ML Kibana API routes
This folder contains ML API routes in Kibana.
Each route handler requires apiDoc annotations in order to generate documentation. The apidoc-markdown package is also required in order to generate the markdown.
There are custom parser and worker (x-pack/plugins/ml/server/routes/apidoc_scripts) to process api schemas for each documentation entry. It's written with typescript so make sure all the scripts in the folder are compiled before executing apidoc command.
Make sure you have run yarn kbn bootstrap to get all requires dev dependencies. Then execute the following command from the ml plugin folder:
yarn run apiDocs
It compiles all the required scripts and generates the documentation both in HTML and Markdown formats.
It will create a new directory routes_doc (next to the routes folder) which contains the documentation in HTML format
as well as ML_API.md file.