
io.prediction.data.storage.elasticsearch.ESEvaluationInstances.scala Maven / Gradle / Ivy
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/** Copyright 2015 TappingStone, 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 io.prediction.data.storage.elasticsearch
import grizzled.slf4j.Logging
import io.prediction.data.storage.EvaluationInstance
import io.prediction.data.storage.EvaluationInstanceSerializer
import io.prediction.data.storage.EvaluationInstances
import io.prediction.data.storage.StorageClientConfig
import org.elasticsearch.ElasticsearchException
import org.elasticsearch.client.Client
import org.elasticsearch.index.query.FilterBuilders._
import org.elasticsearch.search.sort.SortOrder
import org.json4s.JsonDSL._
import org.json4s._
import org.json4s.native.JsonMethods._
import org.json4s.native.Serialization.read
import org.json4s.native.Serialization.write
class ESEvaluationInstances(client: Client, config: StorageClientConfig, index: String)
extends EvaluationInstances with Logging {
implicit val formats = DefaultFormats + new EvaluationInstanceSerializer
private val estype = "evaluation_instances"
val indices = client.admin.indices
val indexExistResponse = indices.prepareExists(index).get
if (!indexExistResponse.isExists) {
indices.prepareCreate(index).get
}
val typeExistResponse = indices.prepareTypesExists(index).setTypes(estype).get
if (!typeExistResponse.isExists) {
val json =
(estype ->
("properties" ->
("status" -> ("type" -> "string") ~ ("index" -> "not_analyzed")) ~
("startTime" -> ("type" -> "date")) ~
("endTime" -> ("type" -> "date")) ~
("evaluationClass" ->
("type" -> "string") ~ ("index" -> "not_analyzed")) ~
("engineParamsGeneratorClass" ->
("type" -> "string") ~ ("index" -> "not_analyzed")) ~
("batch" ->
("type" -> "string") ~ ("index" -> "not_analyzed")) ~
("evaluatorResults" ->
("type" -> "string") ~ ("index" -> "no")) ~
("evaluatorResultsHTML" ->
("type" -> "string") ~ ("index" -> "no")) ~
("evaluatorResultsJSON" ->
("type" -> "string") ~ ("index" -> "no"))))
indices.preparePutMapping(index).setType(estype).
setSource(compact(render(json))).get
}
def insert(i: EvaluationInstance): String = {
try {
val response = client.prepareIndex(index, estype).
setSource(write(i)).get
response.getId
} catch {
case e: ElasticsearchException =>
error(e.getMessage)
""
}
}
def get(id: String): Option[EvaluationInstance] = {
try {
val response = client.prepareGet(index, estype, id).get
if (response.isExists) {
Some(read[EvaluationInstance](response.getSourceAsString))
} else {
None
}
} catch {
case e: ElasticsearchException =>
error(e.getMessage)
None
}
}
def getAll(): Seq[EvaluationInstance] = {
try {
val builder = client.prepareSearch(index).setTypes(estype)
ESUtils.getAll[EvaluationInstance](client, builder)
} catch {
case e: ElasticsearchException =>
error(e.getMessage)
Seq()
}
}
def getCompleted(): Seq[EvaluationInstance] = {
try {
val builder = client.prepareSearch(index).setTypes(estype).setPostFilter(
termFilter("status", "EVALCOMPLETED")).
addSort("startTime", SortOrder.DESC)
ESUtils.getAll[EvaluationInstance](client, builder)
} catch {
case e: ElasticsearchException =>
error(e.getMessage)
Seq()
}
}
def update(i: EvaluationInstance): Unit = {
try {
client.prepareUpdate(index, estype, i.id).setDoc(write(i)).get
} catch {
case e: ElasticsearchException => error(e.getMessage)
}
}
def delete(id: String): Unit = {
try {
client.prepareDelete(index, estype, id).get
} catch {
case e: ElasticsearchException => error(e.getMessage)
}
}
}
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