Drafts an open API specification for Kibana ML APIs (#129548)

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@ -47,9 +47,9 @@ it is added. This list contains the {dfeed} identifiers and indicates whether
the synchronization was successful.
`datafeedsRemoved`::
(array) If saved objects exist for {dfeeds} that no longer exist, they are
deleted. This list contains the {dfeed} identifiers and indicates whether the
synchronization was successful.
(array) If a saved object for an anomaly detection job references a datafeed
that no longer exists, it is deleted. This list contains the {dfeed} identifiers
and indicates whether the synchronization was successful.
`savedObjectsCreated`::
(array) If saved objects are missing for {ml} jobs or trained models, they are

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@ -0,0 +1,20 @@
# OpenAPI (Experimental)
The current self-contained spec file can be used for online tools like those found at https://openapi.tools/. This spec is experimental and may be incomplete or change later.
A guide about the openApi specification can be found at [https://swagger.io/docs/specification/about/](https://swagger.io/docs/specification/about/).
## Tools
It is possible to validate the docs before bundling them by running the following command in the `x-pack/plugins/ml/common/openapi/` folder:
```
npx swagger-cli validate ml_apis.yaml
```
Then generate the `bundled` files with the following commands:
```
npx @redocly/openapi-cli bundle --ext yaml --output bundled.yaml ml_apis.yaml
npx @redocly/openapi-cli bundle --ext json --output bundled.json ml_apis.yaml
```

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@ -0,0 +1,225 @@
{
"openapi": "3.0.1",
"info": {
"title": "Machine learning APIs",
"description": "Kibana APIs for the machine learning feature",
"version": "1.0.0",
"license": {
"name": "Elastic License 2.0",
"url": "https://www.elastic.co/licensing/elastic-license"
}
},
"tags": [
{
"name": "ml",
"description": "Machine learning"
}
],
"servers": [
{
"url": "https://localhost:5601/"
}
],
"paths": {
"/s/{spaceId}/api/ml/saved_objects/sync": {
"get": {
"description": "Synchronizes Kibana saved objects for machine learning jobs and trained models. You must have `all` privileges for the **Machine Learning** feature in the **Analytics** section of the Kibana feature privileges. This API runs automatically when you start Kibana and periodically thereafter.\n",
"parameters": [
{
"$ref": "#/components/parameters/spaceParam"
},
{
"$ref": "#/components/parameters/simulateParam"
}
],
"responses": {
"200": {
"description": "Indicates a successful call",
"content": {
"application/json": {
"schema": {
"items": {
"$ref": "#/components/schemas/syncResponse"
}
}
}
}
}
}
}
},
"/api/ml/saved_objects/sync": {
"get": {
"description": "Synchronizes Kibana saved objects for machine learning jobs and trained models. You must have `all` privileges for the **Machine Learning** feature in the **Analytics** section of the Kibana feature privileges. This API runs automatically when you start Kibana and periodically thereafter.\n",
"parameters": [
{
"$ref": "#/components/parameters/simulateParam"
}
],
"responses": {
"200": {
"description": "Indicates a successful call",
"content": {
"application/json": {
"schema": {
"items": {
"$ref": "#/components/schemas/syncResponse"
}
}
}
}
}
}
}
}
},
"components": {
"parameters": {
"spaceParam": {
"in": "path",
"name": "spaceId",
"description": "An identifier for the space.",
"required": true,
"schema": {
"type": "string"
}
},
"simulateParam": {
"in": "query",
"name": "simulate",
"description": "When true, simulates the synchronization by returning only the list actions that would be performed.",
"required": false,
"schema": {
"type": "boolean"
},
"example": "true"
}
},
"securitySchemes": {
"basicAuth": {
"type": "http",
"scheme": "basic"
}
},
"schemas": {
"syncResponse": {
"type": "object",
"properties": {
"datafeedsAdded": {
"type": "object",
"description": "If a saved object for an anomaly detection job is missing a datafeed identifier, it is added. This list contains the datafeed identifiers and indicates whether the synchronization was successful.",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean"
}
}
}
},
"datafeedsRemoved": {
"type": "object",
"description": "If a saved object for an anomaly detection job references a datafeed that no longer exists, it is deleted. This list contains the datafeed identifiers and indicates whether the synchronization was successful.",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean"
}
}
}
},
"savedObjectsCreated": {
"type": "object",
"description": "If saved objects are missing for machine learning jobs or trained models, they are created. This list contains the job and model identifiers and indicates whether the synchronization was successful.",
"properties": {
"anomaly-detector": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"example": true
}
}
}
},
"data-frame-analytics": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"example": true
}
}
}
},
"trained-model": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"example": true
}
}
}
}
}
},
"savedObjectsDeleted": {
"type": "object",
"description": "If saved objects exist for machine learning jobs or trained models that no longer exist, they are deleted. This list contains the job and model identifiers and indicates whether the synchronization was successful.",
"properties": {
"anomaly-detector": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"example": true
}
}
}
},
"data-frame-analytics": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"example": true
}
}
}
},
"trained-model": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"success": {
"type": "boolean",
"example": true
}
}
}
}
}
}
}
}
}
},
"security": [
{
"basicAuth": []
}
]
}

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@ -0,0 +1,167 @@
openapi: 3.0.1
info:
title: Machine learning APIs
description: Kibana APIs for the machine learning feature
version: 1.0.0
license:
name: Elastic License 2.0
url: https://www.elastic.co/licensing/elastic-license
tags:
- name: ml
description: Machine learning
servers:
- url: https://localhost:5601/
paths:
/s/{spaceId}/api/ml/saved_objects/sync:
get:
description: >
Synchronizes Kibana saved objects for machine learning jobs and trained
models. You must have `all` privileges for the **Machine Learning**
feature in the **Analytics** section of the Kibana feature privileges.
This API runs automatically when you start Kibana and periodically
thereafter.
parameters:
- $ref: '#/components/parameters/spaceParam'
- $ref: '#/components/parameters/simulateParam'
responses:
'200':
description: Indicates a successful call
content:
application/json:
schema:
items:
$ref: '#/components/schemas/syncResponse'
/api/ml/saved_objects/sync:
get:
description: >
Synchronizes Kibana saved objects for machine learning jobs and trained
models. You must have `all` privileges for the **Machine Learning**
feature in the **Analytics** section of the Kibana feature privileges.
This API runs automatically when you start Kibana and periodically
thereafter.
parameters:
- $ref: '#/components/parameters/simulateParam'
responses:
'200':
description: Indicates a successful call
content:
application/json:
schema:
items:
$ref: '#/components/schemas/syncResponse'
components:
parameters:
spaceParam:
in: path
name: spaceId
description: An identifier for the space.
required: true
schema:
type: string
simulateParam:
in: query
name: simulate
description: >-
When true, simulates the synchronization by returning only the list
actions that would be performed.
required: false
schema:
type: boolean
example: 'true'
securitySchemes:
basicAuth:
type: http
scheme: basic
schemas:
syncResponse:
type: object
properties:
datafeedsAdded:
type: object
description: >-
If a saved object for an anomaly detection job is missing a datafeed
identifier, it is added. This list contains the datafeed identifiers
and indicates whether the synchronization was successful.
additionalProperties:
type: object
properties:
success:
type: boolean
datafeedsRemoved:
type: object
description: >-
If a saved object for an anomaly detection job references a datafeed
that no longer exists, it is deleted. This list contains the
datafeed identifiers and indicates whether the synchronization was
successful.
additionalProperties:
type: object
properties:
success:
type: boolean
savedObjectsCreated:
type: object
description: >-
If saved objects are missing for machine learning jobs or trained
models, they are created. This list contains the job and model
identifiers and indicates whether the synchronization was
successful.
properties:
anomaly-detector:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
data-frame-analytics:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
trained-model:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
savedObjectsDeleted:
type: object
description: >-
If saved objects exist for machine learning jobs or trained models
that no longer exist, they are deleted. This list contains the job
and model identifiers and indicates whether the synchronization was
successful.
properties:
anomaly-detector:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
data-frame-analytics:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
trained-model:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
security:
- basicAuth: []

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@ -0,0 +1,146 @@
openapi: 3.0.1
info:
title: Machine learning APIs
description: Kibana APIs for the machine learning feature
version: "1.0.0"
license:
name: Elastic License 2.0
url: https://www.elastic.co/licensing/elastic-license
tags:
- name: ml
description: Machine learning
servers:
- url: https://localhost:5601/
paths:
/s/{spaceId}/api/ml/saved_objects/sync:
get:
description: >
Synchronizes Kibana saved objects for machine learning jobs and trained models.
You must have `all` privileges for the **Machine Learning** feature in the **Analytics** section of the Kibana feature privileges.
This API runs automatically when you start Kibana and periodically thereafter.
parameters:
- $ref: '#/components/parameters/spaceParam'
- $ref: '#/components/parameters/simulateParam'
responses:
'200':
description: Indicates a successful call
content:
application/json:
schema:
items:
$ref: '#/components/schemas/syncResponse'
/api/ml/saved_objects/sync:
get:
description: >
Synchronizes Kibana saved objects for machine learning jobs and trained models.
You must have `all` privileges for the **Machine Learning** feature in the **Analytics** section of the Kibana feature privileges.
This API runs automatically when you start Kibana and periodically thereafter.
parameters:
- $ref: '#/components/parameters/simulateParam'
responses:
'200':
description: Indicates a successful call
content:
application/json:
schema:
items:
$ref: '#/components/schemas/syncResponse'
components:
parameters:
spaceParam:
in: path
name: spaceId
description: An identifier for the space.
required: true
schema:
type: string
simulateParam:
in: query
name: simulate
description: When true, simulates the synchronization by returning only the list actions that would be performed.
required: false
schema:
type: boolean
example: 'true'
securitySchemes:
basicAuth:
type: http
scheme: basic
schemas:
syncResponse:
type: object
properties:
datafeedsAdded:
type: object
description: If a saved object for an anomaly detection job is missing a datafeed identifier, it is added. This list contains the datafeed identifiers and indicates whether the synchronization was successful.
additionalProperties:
type: object
properties:
success:
type: boolean
datafeedsRemoved:
type: object
description: If a saved object for an anomaly detection job references a datafeed that no longer exists, it is deleted. This list contains the datafeed identifiers and indicates whether the synchronization was successful.
additionalProperties:
type: object
properties:
success:
type: boolean
savedObjectsCreated:
type: object
description: If saved objects are missing for machine learning jobs or trained models, they are created. This list contains the job and model identifiers and indicates whether the synchronization was successful.
properties:
anomaly-detector:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
data-frame-analytics:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
trained-model:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
savedObjectsDeleted:
type: object
description: If saved objects exist for machine learning jobs or trained models that no longer exist, they are deleted. This list contains the job and model identifiers and indicates whether the synchronization was successful.
properties:
anomaly-detector:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
data-frame-analytics:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
trained-model:
type: object
additionalProperties:
type: object
properties:
success:
type: boolean
example: true
security:
- basicAuth: []