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feat: Implement 'Auto Date Histogram' (#120)
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src/aggregations/bucket-aggregations/auto-date-histogram-aggregation.js
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'use strict'; | ||
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const isNil = require('lodash.isnil'); | ||
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const BucketAggregationBase = require('./bucket-aggregation-base'); | ||
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/** | ||
* A multi-bucket aggregation similar to the Date histogram aggregation except instead of | ||
* providing an interval to use as the width of each bucket, a target number of buckets | ||
* is provided indicating the number of buckets needed and the interval of the buckets | ||
* is automatically chosen to best achieve that target. The number of buckets returned | ||
* will always be less than or equal to this target number. | ||
* | ||
* [Elasticsearch reference](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-autodatehistogram-aggregation.html) | ||
* | ||
* @example | ||
* const agg = esb.autoDateHistogramAggregation('sales_over_time', 'date', 15); | ||
* | ||
* @param {string} name The name which will be used to refer to this aggregation. | ||
* @param {string} field The field to aggregate on | ||
* @param {number} buckets Bucket count to generate histogram over. | ||
* | ||
* @extends BucketAggregationBase | ||
*/ | ||
class AutoDateHistogramAggregation extends BucketAggregationBase { | ||
// eslint-disable-next-line require-jsdoc | ||
constructor(name, field, buckets) { | ||
super(name, 'auto_date_histogram', field); | ||
if (!isNil(buckets)) this._aggsDef.buckets = buckets; | ||
} | ||
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/** | ||
* Sets the histogram bucket count. Buckets are generated based on this value. | ||
* | ||
* @param {number} buckets Bucket count to generate histogram over. | ||
* @returns {AutoDateHistogramAggregation} returns `this` so that calls can be chained | ||
*/ | ||
buckets(buckets) { | ||
this._aggsDef.buckets = buckets; | ||
return this; | ||
} | ||
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/** | ||
* The minimum_interval allows the caller to specify the minimum rounding interval that | ||
* should be used. This can make the collection process more efficient, as the | ||
* aggregation will not attempt to round at any interval lower than minimum_interval. | ||
* | ||
* Accepted units: year, month, day, hour, minute, second | ||
* | ||
* [Elasticsearch reference](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-autodatehistogram-aggregation.html#_minimum_interval_parameter) | ||
* | ||
* @example | ||
* const agg = esb.autoDateHistogramAggregation( | ||
* 'sales_over_time', | ||
* 'date', | ||
* 5 | ||
* ).minimumInterval('minute'); | ||
* | ||
* @param {string} interval Minimum Rounding Interval Example: 'minute' | ||
* @returns {AutoDateHistogramAggregation} returns `this` so that calls can be chained | ||
*/ | ||
minimumInterval(interval) { | ||
this._aggsDef.minimum_interval = interval; | ||
return this; | ||
} | ||
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/** | ||
* Sets the format expression for `key_as_string` in response buckets. | ||
* If no format is specified, then it will use the first format specified in the field mapping. | ||
* | ||
* @example | ||
* const agg = esb.autoDateHistogramAggregation( | ||
* 'sales_over_time', | ||
* 'date', | ||
* 5 | ||
* ).format('yyyy-MM-dd'); | ||
* | ||
* @param {string} fmt Format mask to apply on aggregation response. Example: ####.00. | ||
* For Date Histograms, supports expressive [date format pattern](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-daterange-aggregation.html#date-format-pattern) | ||
* @returns {AutoDateHistogramAggregation} returns `this` so that calls can be chained | ||
*/ | ||
format(fmt) { | ||
this._aggsDef.format = fmt; | ||
return this; | ||
} | ||
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/** | ||
* Sets the missing parameter which defines how documents | ||
* that are missing a value should be treated. | ||
* | ||
* @example | ||
* const agg = esb.autoDateHistogramAggregation('quantity', 'quantity', 10).missing(0); | ||
* | ||
* @param {string} value | ||
* @returns {AutoDateHistogramAggregation} returns `this` so that calls can be chained | ||
*/ | ||
missing(value) { | ||
this._aggsDef.missing = value; | ||
return this; | ||
} | ||
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/** | ||
* Date-times are stored in Elasticsearch in UTC. | ||
* By default, all bucketing and rounding is also done in UTC. | ||
* The `time_zone` parameter can be used to indicate that bucketing should use a different time zone. | ||
* Sets the date time zone | ||
* | ||
* @example | ||
* const agg = esb.autoDateHistogramAggregation('by_day', 'date', 15).timeZone( | ||
* '-01:00' | ||
* ); | ||
* | ||
* @param {string} tz Time zone. Time zones may either be specified | ||
* as an ISO 8601 UTC offset (e.g. +01:00 or -08:00) or as a timezone id, | ||
* an identifier used in the TZ database like America/Los_Angeles. | ||
* @returns {AutoDateHistogramAggregation} returns `this` so that calls can be chained | ||
*/ | ||
timeZone(tz) { | ||
this._aggsDef.time_zone = tz; | ||
return this; | ||
} | ||
} | ||
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module.exports = AutoDateHistogramAggregation; |
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import test from 'ava'; | ||
import { AutoDateHistogramAggregation } from '../../src'; | ||
import { setsAggType } from '../_macros'; | ||
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test(setsAggType, AutoDateHistogramAggregation, 'auto_date_histogram'); | ||
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test('constructor sets arguments', t => { | ||
const value = new AutoDateHistogramAggregation( | ||
'sale_date', | ||
'date', | ||
10 | ||
).toJSON(), | ||
expected = { | ||
sale_date: { | ||
auto_date_histogram: { | ||
field: 'date', | ||
buckets: 10 | ||
} | ||
} | ||
}; | ||
t.deepEqual(value, expected); | ||
}); | ||
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test('buckets is set', t => { | ||
const value = new AutoDateHistogramAggregation('by_day', 'date', 10) | ||
.buckets(20) | ||
.toJSON(); | ||
const expected = { | ||
by_day: { | ||
auto_date_histogram: { | ||
field: 'date', | ||
buckets: 20 | ||
} | ||
} | ||
}; | ||
t.deepEqual(value, expected); | ||
}); | ||
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test('format is set', t => { | ||
const value = new AutoDateHistogramAggregation('by_day', 'date', 10) | ||
.format('yyyy-MM-dd') | ||
.toJSON(); | ||
const expected = { | ||
by_day: { | ||
auto_date_histogram: { | ||
field: 'date', | ||
buckets: 10, | ||
format: 'yyyy-MM-dd' | ||
} | ||
} | ||
}; | ||
t.deepEqual(value, expected); | ||
}); | ||
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test('minimum_interval is set', t => { | ||
const value = new AutoDateHistogramAggregation('by_day', 'date', 10) | ||
.minimumInterval('minute') | ||
.toJSON(); | ||
const expected = { | ||
by_day: { | ||
auto_date_histogram: { | ||
field: 'date', | ||
buckets: 10, | ||
minimum_interval: 'minute' | ||
} | ||
} | ||
}; | ||
t.deepEqual(value, expected); | ||
}); | ||
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test('time_zone is set', t => { | ||
const value = new AutoDateHistogramAggregation('by_day', 'date', 10) | ||
.timeZone('-01:00') | ||
.toJSON(); | ||
const expected = { | ||
by_day: { | ||
auto_date_histogram: { | ||
field: 'date', | ||
buckets: 10, | ||
time_zone: '-01:00' | ||
} | ||
} | ||
}; | ||
t.deepEqual(value, expected); | ||
}); | ||
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test('missing is set', t => { | ||
const value = new AutoDateHistogramAggregation('by_day', 'date', 10) | ||
.missing('2000/01/01') | ||
.toJSON(); | ||
const expected = { | ||
by_day: { | ||
auto_date_histogram: { | ||
field: 'date', | ||
buckets: 10, | ||
missing: '2000/01/01' | ||
} | ||
} | ||
}; | ||
t.deepEqual(value, expected); | ||
}); |
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