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package org.frekele.elasticsearch.mapping.annotations;

import org.frekele.elasticsearch.mapping.annotations.values.BoolValue;
import org.frekele.elasticsearch.mapping.annotations.values.FloatValue;
import org.frekele.elasticsearch.mapping.enums.FieldType;

import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * A field of type token_count is really an integer field which accepts string values, analyzes them, then indexes the number of tokens in the string.
 *
 * @author frekele - Leandro Kersting de Freitas
 * @see Site Elasticsearch Reference Guide.
 */
@Target(ElementType.FIELD)
@Retention(RetentionPolicy.RUNTIME)
public @interface ElasticTokenCountField {

    FieldType type = FieldType.TOKEN_COUNT;

    String suffixName() default "tokenCount";

    String analyzer() default "";

    BoolValue enablePositionIncrements() default @BoolValue(ignore = true);

    @Deprecated
    FloatValue boost() default @FloatValue(ignore = true);

    BoolValue docValues() default @BoolValue(ignore = true);

    BoolValue index() default @BoolValue(ignore = true);

    BoolValue includeInAll() default @BoolValue(ignore = true);

    String nullValue() default "";

    BoolValue store() default @BoolValue(ignore = true);

}