
com.couchbase.client.scala.search.facet.SearchFacet.scala Maven / Gradle / Ivy
/*
* Copyright (c) 2019 Couchbase, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.couchbase.client.scala.search.facet
import com.couchbase.client.core.api.search.facet._
import java.time.Instant
import scala.jdk.CollectionConverters._
/** Base class for all FTS facets in querying.
*
* @since 1.0.0
*/
sealed trait SearchFacet {
protected val field: String
protected val size: Option[Int]
private[scala] def toCore: CoreSearchFacet
}
object SearchFacet {
/** A search facet that gives the number of occurrences of the most recurring terms in all rows.
*
* @param field the field to use for the facet
* @param size the maximum number of facets to return
*
* @return a constructed facet
*/
case class TermFacet(field: String, size: Option[Int] = None) extends SearchFacet {
override private[scala] def toCore =
new CoreTermFacet(field, size.map(_.asInstanceOf[Integer]).orNull)
}
/** A search facet that categorizes rows into numerical ranges (or buckets) provided by the user.
*
* @param field the field to use for the facet
* @param size the maximum number of facets to return
* @param numericRanges the ranges. At least one should be specified.
*
* @return a constructed facet
*/
case class NumericRangeFacet(
field: String,
numericRanges: Seq[NumericRange],
size: Option[Int] = None
) extends SearchFacet {
override private[scala] def toCore =
new CoreNumericRangeFacet(
field,
size.map(_.asInstanceOf[Integer]).orNull,
numericRanges.map(_.toCore).asJava
)
}
/** Defines a numeric range.
*
* `min` and `max` are both optional, but at least one should be provided.
*
* @param name the name of the range, to make it easier to find in the results
* @param min the lower bound (optional)
* @param max the upper bound (optional)
*/
case class NumericRange(name: String, min: Option[Float], max: Option[Float]) {
private[scala] val toCore = new CoreNumericRange(
name,
min.map(_.asInstanceOf[java.lang.Double]).orNull,
max.map(_.asInstanceOf[java.lang.Double]).orNull
)
}
/** A facet that categorizes rows inside date ranges (or buckets) provided by the user.
*
* @param field the field to use for the facet
* @param size the maximum number of facets to return
* @param dateRanges the ranges. At least one should be specified.
*
* @since 1.0.0
*/
case class DateRangeFacet(field: String, dateRanges: Seq[DateRange], size: Option[Int] = None)
extends SearchFacet {
override private[scala] def toCore =
new CoreDateRangeFacet(
field,
size.map(_.asInstanceOf[Integer]).orNull,
dateRanges.map(_.toCore).asJava
)
}
/** Defines a date range.
*
* `start` and `end` are both optional, but at least one must be provided.
*
* @param name the name of the range, to make it easier to find in the results
* @param start the start of the range (optional)
* @param end the start of the range (optional)
*/
case class DateRange(name: String, start: Option[String], end: Option[String]) {
private[scala] def toCore = new CoreDateRange(name, start.orNull, end.orNull)
}
object DateRange {
def create(name: String, start: Option[Instant], end: Option[Instant]): DateRange = {
DateRange(name, start.map(_.toString), end.map(_.toString))
}
}
}
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