[DOCS] Add code snippet testing in more ML APIs (#31339)
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@ -47,7 +47,6 @@ buildRestTests.expectedUnconvertedCandidates = [
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'en/watcher/trigger/schedule/yearly.asciidoc',
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'en/watcher/troubleshooting.asciidoc',
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'en/rest-api/ml/delete-snapshot.asciidoc',
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'en/rest-api/ml/forecast.asciidoc',
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'en/rest-api/ml/get-bucket.asciidoc',
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'en/rest-api/ml/get-job-stats.asciidoc',
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'en/rest-api/ml/get-overall-buckets.asciidoc',
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@ -56,7 +55,6 @@ buildRestTests.expectedUnconvertedCandidates = [
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'en/rest-api/ml/get-influencer.asciidoc',
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'en/rest-api/ml/get-snapshot.asciidoc',
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'en/rest-api/ml/post-data.asciidoc',
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'en/rest-api/ml/preview-datafeed.asciidoc',
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'en/rest-api/ml/revert-snapshot.asciidoc',
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'en/rest-api/ml/update-snapshot.asciidoc',
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'en/rest-api/watcher/stats.asciidoc',
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@ -296,7 +294,9 @@ setups['farequote_index'] = '''
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responsetime:
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type: float
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airline:
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type: keyword
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type: keyword
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doc_count:
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type: integer
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'''
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setups['farequote_data'] = setups['farequote_index'] + '''
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- do:
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@ -306,11 +306,11 @@ setups['farequote_data'] = setups['farequote_index'] + '''
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refresh: true
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body: |
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{"index": {"_id":"1"}}
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{"airline":"JZA","responsetime":990.4628,"time":"2016-02-07T00:00:00+0000"}
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{"airline":"JZA","responsetime":990.4628,"time":"2016-02-07T00:00:00+0000", "doc_count": 5}
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{"index": {"_id":"2"}}
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{"airline":"JBU","responsetime":877.5927,"time":"2016-02-07T00:00:00+0000"}
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{"airline":"JBU","responsetime":877.5927,"time":"2016-02-07T00:00:00+0000", "doc_count": 23}
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{"index": {"_id":"3"}}
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{"airline":"KLM","responsetime":1355.4812,"time":"2016-02-07T00:00:00+0000"}
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{"airline":"KLM","responsetime":1355.4812,"time":"2016-02-07T00:00:00+0000", "doc_count": 42}
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'''
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setups['farequote_job'] = setups['farequote_data'] + '''
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- do:
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@ -332,6 +332,16 @@ setups['farequote_job'] = setups['farequote_data'] + '''
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}
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}
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'''
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setups['farequote_datafeed'] = setups['farequote_job'] + '''
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- do:
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xpack.ml.put_datafeed:
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datafeed_id: "datafeed-farequote"
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body: >
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{
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"job_id":"farequote",
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"indexes":"farequote"
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}
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'''
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setups['server_metrics_index'] = '''
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- do:
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indices.create:
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@ -5,7 +5,7 @@
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<titleabbrev>Forecast Jobs</titleabbrev>
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++++
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Predict the future behavior of a time series by using historical behavior.
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Predicts the future behavior of a time series by using its historical behavior.
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==== Request
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@ -62,7 +62,7 @@ POST _xpack/ml/anomaly_detectors/total-requests/_forecast
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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// TEST[skip:requires delay]
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When the forecast is created, you receive the following results:
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[source,js]
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@ -72,7 +72,7 @@ When the forecast is created, you receive the following results:
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"forecast_id": "wkCWa2IB2lF8nSE_TzZo"
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}
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----
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// NOTCONSOLE
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You can subsequently see the forecast in the *Single Metric Viewer* in {kib}.
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//and in the results that you retrieve by using {ml} APIs such as the
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//<<ml-get-bucket,get bucket API>> and <<ml-get-record,get records API>>.
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@ -31,7 +31,6 @@ structure of the data that will be passed to the anomaly detection engine.
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You must have `monitor_ml`, `monitor`, `manage_ml`, or `manage` cluster
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privileges to use this API. For more information, see
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{xpack-ref}/security-privileges.html[Security Privileges].
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//<<privileges-list-cluster>>.
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==== Security Integration
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@ -54,27 +53,30 @@ The following example obtains a preview of the `datafeed-farequote` {dfeed}:
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GET _xpack/ml/datafeeds/datafeed-farequote/_preview
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--------------------------------------------------
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// CONSOLE
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// TEST[skip:todo]
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// TEST[setup:farequote_datafeed]
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The data that is returned for this example is as follows:
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[source,js]
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----
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[
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{
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"@timestamp": 1454803200000,
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"airline": "AAL",
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"responsetime": 132.20460510253906
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},
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{
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"@timestamp": 1454803200000,
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"time": 1454803200000,
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"airline": "JZA",
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"doc_count": 5,
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"responsetime": 990.4628295898438
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},
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{
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"@timestamp": 1454803200000,
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"time": 1454803200000,
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"airline": "JBU",
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"doc_count": 23,
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"responsetime": 877.5927124023438
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},
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...
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{
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"time": 1454803200000,
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"airline": "KLM",
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"doc_count": 42,
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"responsetime": 1355.481201171875
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}
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]
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----
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// TESTRESPONSE
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