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packages/kbn-alerts-as-data-utils/src/schemas/generated/ml_anomaly_detection_schema.ts
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/* | ||
* Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one | ||
* or more contributor license agreements. Licensed under the Elastic License | ||
* 2.0 and the Server Side Public License, v 1; you may not use this file except | ||
* in compliance with, at your election, the Elastic License 2.0 or the Server | ||
* Side Public License, v 1. | ||
*/ | ||
// ---------------------------------- WARNING ---------------------------------- | ||
// this file was generated, and should not be edited by hand | ||
// ---------------------------------- WARNING ---------------------------------- | ||
import * as rt from 'io-ts'; | ||
import { Either } from 'fp-ts/lib/Either'; | ||
import { AlertSchema } from './alert_schema'; | ||
const ISO_DATE_PATTERN = /^d{4}-d{2}-d{2}Td{2}:d{2}:d{2}.d{3}Z$/; | ||
export const IsoDateString = new rt.Type<string, string, unknown>( | ||
'IsoDateString', | ||
rt.string.is, | ||
(input, context): Either<rt.Errors, string> => { | ||
if (typeof input === 'string' && ISO_DATE_PATTERN.test(input)) { | ||
return rt.success(input); | ||
} else { | ||
return rt.failure(input, context); | ||
} | ||
}, | ||
rt.identity | ||
); | ||
export type IsoDateStringC = typeof IsoDateString; | ||
export const schemaDate = IsoDateString; | ||
export const schemaDateArray = rt.array(IsoDateString); | ||
export const schemaDateRange = rt.partial({ | ||
gte: schemaDate, | ||
lte: schemaDate, | ||
}); | ||
export const schemaDateRangeArray = rt.array(schemaDateRange); | ||
export const schemaUnknown = rt.unknown; | ||
export const schemaUnknownArray = rt.array(rt.unknown); | ||
export const schemaString = rt.string; | ||
export const schemaStringArray = rt.array(schemaString); | ||
export const schemaNumber = rt.number; | ||
export const schemaNumberArray = rt.array(schemaNumber); | ||
export const schemaStringOrNumber = rt.union([schemaString, schemaNumber]); | ||
export const schemaStringOrNumberArray = rt.array(schemaStringOrNumber); | ||
export const schemaBoolean = rt.boolean; | ||
export const schemaBooleanArray = rt.array(schemaBoolean); | ||
const schemaGeoPointCoords = rt.type({ | ||
type: schemaString, | ||
coordinates: schemaNumberArray, | ||
}); | ||
const schemaGeoPointString = schemaString; | ||
const schemaGeoPointLatLon = rt.type({ | ||
lat: schemaNumber, | ||
lon: schemaNumber, | ||
}); | ||
const schemaGeoPointLocation = rt.type({ | ||
location: schemaNumberArray, | ||
}); | ||
const schemaGeoPointLocationString = rt.type({ | ||
location: schemaString, | ||
}); | ||
export const schemaGeoPoint = rt.union([ | ||
schemaGeoPointCoords, | ||
schemaGeoPointString, | ||
schemaGeoPointLatLon, | ||
schemaGeoPointLocation, | ||
schemaGeoPointLocationString, | ||
]); | ||
export const schemaGeoPointArray = rt.array(schemaGeoPoint); | ||
// prettier-ignore | ||
const MlAnomalyDetectionAlertRequired = rt.type({ | ||
kibana: rt.type({ | ||
alert: rt.type({ | ||
job_id: schemaString, | ||
}), | ||
}), | ||
}); | ||
const MlAnomalyDetectionAlertOptional = rt.partial({ | ||
kibana: rt.partial({ | ||
alert: rt.partial({ | ||
anomaly_score: schemaNumber, | ||
anomaly_timestamp: schemaDate, | ||
is_interim: schemaBoolean, | ||
top_influencers: rt.array( | ||
rt.partial({ | ||
influencer_field_name: schemaString, | ||
influencer_field_value: schemaString, | ||
influencer_score: schemaNumber, | ||
initial_influencer_score: schemaNumber, | ||
is_interim: schemaBoolean, | ||
job_id: schemaString, | ||
timestamp: schemaDate, | ||
}) | ||
), | ||
top_records: rt.array( | ||
rt.partial({ | ||
actual: schemaNumber, | ||
by_field_name: schemaString, | ||
by_field_value: schemaString, | ||
detector_index: schemaNumber, | ||
field_name: schemaString, | ||
function: schemaString, | ||
initial_record_score: schemaNumber, | ||
is_interim: schemaBoolean, | ||
job_id: schemaString, | ||
over_field_name: schemaString, | ||
over_field_value: schemaString, | ||
partition_field_name: schemaString, | ||
partition_field_value: schemaString, | ||
record_score: schemaNumber, | ||
timestamp: schemaDate, | ||
typical: schemaNumber, | ||
}) | ||
), | ||
}), | ||
}), | ||
}); | ||
|
||
// prettier-ignore | ||
export const MlAnomalyDetectionAlertSchema = rt.intersection([MlAnomalyDetectionAlertRequired, MlAnomalyDetectionAlertOptional, AlertSchema]); | ||
// prettier-ignore | ||
export type MlAnomalyDetectionAlert = rt.TypeOf<typeof MlAnomalyDetectionAlertSchema>; |
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