a1e511a727
* [ML] Changing all calls to ML endpoints to use internal user * updating alerting * updating documentation * [ML] Changing all calls to ML endpoints to use internal user * updating alerting * updating documentation * fixing missed types * adding authorization headers to endpoint calls * correcting has privileges call * updating security tests * odd eslint error * adding auth header to module setup * fixing missing auth argument * fixing delete DFA job permission checks * removing debug test tag * removing additional ml privilege checks * adding authorization header to _evaluate * updating alerting cluster client name * code clean up * changing authorizationHeader name * updating alterting documentation * fixing secondary credentials * adding management links * updating SIEM telemetry * fixing merge conflicts * granting access to index patterns Co-authored-by: Elastic Machine <elasticmachine@users.noreply.github.com> |
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|---|---|---|
| .. | ||
| 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.