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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.wayang.apps.util
import org.apache.wayang.basic.WayangBasics
import org.apache.wayang.commons.util.profiledb.model.Experiment
import org.apache.wayang.core.optimizer.ProbabilisticDoubleInterval
import org.apache.wayang.core.plugin.{DynamicPlugin, Plugin}
//import org.apache.wayang.graphchi.GraphChi
import org.apache.wayang.java.Java
import org.apache.wayang.postgres.Postgres
import org.apache.wayang.spark.Spark
import org.apache.wayang.sqlite3.Sqlite3
/**
* Utility to parse parameters of the apps.
*/
object Parameters {
private val yamlId = """yaml\((.*)\)""".r
val yamlPluginHel = "yaml(<YAML plugin URL>)"
private val intPattern = """[+-]?\d+""".r
private val longPattern = """[+-]?\d+L""".r
private val doublePattern = """[+-]?\d+\.\d*""".r
private val booleanPattern = """(?:true)|(?:false)""".r
private val probabilisticDoubleIntervalPattern = """(\d+)\.\.(\d+)(~\d+.\d+)?""".r
private val experiment =
"""exp\(([^,;]+)(?:;tags=([^,;]+(?:,[^,;]+)*))?(?:;conf=([^,;:]+:[^,;:]+(?:,[^,;:]+:[^,;:]+)*))?\)""".r
val experimentHelp = "exp(<ID>[,tags=<tag>,...][,conf=<key>:<value>,...])"
/**
* Load a plugin.
*
* @param id name of the plugin
* @return the loaded [[Plugin]]
*/
def loadPlugin(id: String): Plugin = id match {
case "basic-graph" => WayangBasics.graphPlugin
case "java" => Java.basicPlugin
case "java-graph" => Java.graphPlugin
case "java-conversions" => Java.channelConversionPlugin
case "spark" => Spark.basicPlugin
case "spark-graph" => Spark.graphPlugin
case "spark-conversions" => Spark.conversionPlugin
// case "graphchi" => GraphChi.plugin
case "postgres" => Postgres.plugin
case "postgres-conversions" => Postgres.conversionPlugin
case "sqlite3" => Sqlite3.plugin
case "sqlite3-conversions" => Sqlite3.conversionPlugin
case yamlId(url) => DynamicPlugin.loadYaml(url)
case other => throw new IllegalArgumentException(s"Could not load platform '$other'.")
}
/**
* Loads the specified [[Plugin]]s..
*
* @param platformIds a comma-separated list of platform IDs
* @return the loaded [[Plugin]]s
*/
def loadPlugins(platformIds: String): Seq[Plugin] = loadPlugins(platformIds.split(","))
/**
* Loads the specified [[Plugin]]s.
*
* @param platformIds platform IDs
* @return the loaded [[Plugin]]s
*/
def loadPlugins(platformIds: Seq[String]): Seq[Plugin] = platformIds.map(loadPlugin)
/**
* Create an [[Experiment]] for an experiment parameter and an [[ExperimentDescriptor]].
*
* @param experimentParameter the parameter
* @param experimentDescriptor the [[ExperimentDescriptor]]
* @return the [[Experiment]]
*/
def createExperiment(experimentParameter: String, experimentDescriptor: ExperimentDescriptor) =
experimentParameter match {
case experiment(id, tagList, confList) =>
val tags = tagList match {
case str: String => str.split(',').filterNot(_.isEmpty)
case _ => Array[String]()
}
val experiment = experimentDescriptor.createExperiment(id, tags: _*)
confList match {
case str: String => str.split(',').map(_.split(':')).foreach { pair =>
experiment.getSubject.addConfiguration(pair(0), parseAny(pair(1)))
}
case _ =>
}
experiment
case other => throw new IllegalArgumentException(s"Could parse experiment descriptor '$other'.")
}
/**
* Parses a given [[String]] into a specific basic type.
*
* @param str the [[String]]
* @return the parsed value
*/
def parseAny(str: String): AnyRef = {
str match {
case "null" => null
case intPattern() => java.lang.Integer.valueOf(str)
case longPattern() => java.lang.Long.valueOf(str.take(str.length - 1))
case doublePattern() => java.lang.Double.valueOf(str)
case booleanPattern() => java.lang.Boolean.valueOf(str)
case probabilisticDoubleIntervalPattern(lower, upper, conf) =>
new ProbabilisticDoubleInterval(lower.toDouble, upper.toDouble, if (conf == null) 1d else conf.substring(1).toDouble)
case other: String => other
}
}
}