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API generation

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delvedor
2021-08-11 12:00:42 +02:00
parent 516f52e303
commit 7c59eda3db
4 changed files with 33 additions and 22 deletions
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4
api/api/ml.js
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@ -1056,6 +1056,10 @@ MlApi.prototype.inferTrainedModelDeployment = function mlInferTrainedModelDeploy
const err = new this[kConfigurationError]('Missing required parameter: model_id or modelId')
return handleError(err, callback)
}
if (params.body == null) {
const err = new this[kConfigurationError]('Missing required parameter: body')
return handleError(err, callback)
}
let { method, body, modelId, model_id, ...querystring } = params
querystring = snakeCaseKeys(acceptedQuerystring, snakeCase, querystring)

3
api/requestParams.d.ts vendored
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@ -1737,9 +1737,10 @@ export interface MlGetTrainedModelsStats extends Generic {
size?: number;
}
export interface MlInferTrainedModelDeployment extends Generic {
export interface MlInferTrainedModelDeployment<T = RequestBody> extends Generic {
model_id: string;
timeout?: string;
body: T;
}
export interface MlInfo extends Generic {

32
docs/reference.asciidoc
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@ -1949,7 +1949,7 @@ link:{ref}/cluster-allocation-explain.html[Documentation] +
|`boolean` - Return information about disk usage and shard sizes (default: false)
|`body`
|`object` - The index, shard, and primary flag to explain. Empty means 'explain the first unassigned shard'
|`object` - The index, shard, and primary flag to explain. Empty means 'explain a randomly-chosen unassigned shard'
|===
@ -7144,17 +7144,22 @@ _Default:_ `100`
----
client.ml.inferTrainedModelDeployment({
model_id: string,
timeout: string
timeout: string,
body: object
})
----
link:{ref}/ml-df-analytics-apis.html[Documentation] +
link:{ref}/infer-trained-model-deployment.html[Documentation] +
[cols=2*]
|===
|`model_id` or `modelId`
|`string` - The ID of the model to perform inference on
|`string` - The unique identifier of the trained model.
|`timeout`
|`string` - Controls the time to wait for the inference result
|`string` - Controls the amount of time to wait for inference results. +
_Default:_ `10s`
|`body`
|`object` - The input text to be evaluated.
|===
@ -7621,14 +7626,15 @@ client.ml.startTrainedModelDeployment({
timeout: string
})
----
link:{ref}/ml-df-analytics-apis.html[Documentation] +
link:{ref}/start-trained-model-deployment.html[Documentation] +
[cols=2*]
|===
|`model_id` or `modelId`
|`string` - The ID of the model to deploy
|`string` - The unique identifier of the trained model.
|`timeout`
|`string` - Controls the time to wait until the model is deployed
|`string` - Controls the amount of time to wait for the model to deploy. +
_Default:_ `20s`
|===
@ -7713,11 +7719,11 @@ client.ml.stopTrainedModelDeployment({
model_id: string
})
----
link:{ref}/ml-df-analytics-apis.html[Documentation] +
link:{ref}/stop-trained-model-deployment.html[Documentation] +
[cols=2*]
|===
|`model_id` or `modelId`
|`string` - The ID of the model to undeploy
|`string` - The unique identifier of the trained model.
|===
@ -10603,7 +10609,7 @@ client.sql.clearCursor({
body: object
})
----
link:{ref}/sql-pagination.html[Documentation] +
link:{ref}/clear-sql-cursor-api.html[Documentation] +
[cols=2*]
|===
|`body`
@ -10690,7 +10696,7 @@ client.sql.query({
body: object
})
----
link:{ref}/sql-rest-overview.html[Documentation] +
link:{ref}/sql-search-api.html[Documentation] +
{jsclient}/sql_query_examples.html[Code Example] +
[cols=2*]
|===
@ -10711,7 +10717,7 @@ client.sql.translate({
body: object
})
----
link:{ref}/sql-translate.html[Documentation] +
link:{ref}/sql-translate-api.html[Documentation] +
[cols=2*]
|===
|`body`

16
index.d.ts vendored
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@ -1650,14 +1650,14 @@ declare class Client {
getTrainedModelsStats<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
getTrainedModelsStats<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlGetTrainedModelsStats, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
getTrainedModelsStats<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlGetTrainedModelsStats, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
infer_trained_model_deployment<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlInferTrainedModelDeployment, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
infer_trained_model_deployment<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
infer_trained_model_deployment<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
infer_trained_model_deployment<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
inferTrainedModelDeployment<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlInferTrainedModelDeployment, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
inferTrainedModelDeployment<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
inferTrainedModelDeployment<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
inferTrainedModelDeployment<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
infer_trained_model_deployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params?: RequestParams.MlInferTrainedModelDeployment<TRequestBody>, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
infer_trained_model_deployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
infer_trained_model_deployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment<TRequestBody>, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
infer_trained_model_deployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment<TRequestBody>, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
inferTrainedModelDeployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params?: RequestParams.MlInferTrainedModelDeployment<TRequestBody>, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
inferTrainedModelDeployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
inferTrainedModelDeployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment<TRequestBody>, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
inferTrainedModelDeployment<TResponse = Record<string, any>, TRequestBody extends RequestBody = Record<string, any>, TContext = Context>(params: RequestParams.MlInferTrainedModelDeployment<TRequestBody>, options: TransportRequestOptions, callback: callbackFn<TResponse, TContext>): TransportRequestCallback
info<TResponse = Record<string, any>, TContext = Context>(params?: RequestParams.MlInfo, options?: TransportRequestOptions): TransportRequestPromise<ApiResponse<TResponse, TContext>>
info<TResponse = Record<string, any>, TContext = Context>(callback: callbackFn<TResponse, TContext>): TransportRequestCallback
info<TResponse = Record<string, any>, TContext = Context>(params: RequestParams.MlInfo, callback: callbackFn<TResponse, TContext>): TransportRequestCallback