Mleap-server, model loading error

I am following the example here with my own dataset.

It works all the way till the serializing/deserializing with no problems.

However, when I am loading the model on a running mleap-server as explained here , it fails with the error.

[ERROR] [04/20/2017 12:22:19.020] [MleapServing-akka.actor.default-dispatcher-13] [MleapResource] error with request
java.nio.file.NoSuchFileException: bundle.json
        at com.sun.nio.zipfs.ZipFileSystem.newInputStream(ZipFileSystem.java:544)
        at com.sun.nio.zipfs.ZipPath.newInputStream(ZipPath.java:645)
        at com.sun.nio.zipfs.ZipFileSystemProvider.newInputStream(ZipFileSystemProvider.java:278)
        at java.nio.file.Files.newInputStream(Files.java:152)
        at ml.combust.bundle.BundleFile$$anonfun$readInfo$1.apply(BundleFile.scala:60)
        at ml.combust.bundle.BundleFile$$anonfun$readInfo$1.apply(BundleFile.scala:60)
        at resource.DefaultManagedResource.open(AbstractManagedResource.scala:110)
        at resource.AbstractManagedResource.acquireFor(AbstractManagedResource.scala:87)
        at resource.ManagedResourceOperations$class.apply(ManagedResourceOperations.scala:26)
        at resource.AbstractManagedResource.apply(AbstractManagedResource.scala:50)
        at resource.DeferredExtractableManagedResource$$anonfun$tried$1.apply(AbstractManagedResource.scala:33)
        at scala.util.Try$.apply(Try.scala:192)
        at resource.DeferredExtractableManagedResource.tried(AbstractManagedResource.scala:33)
        at ml.combust.bundle.BundleFile.readInfo(BundleFile.scala:63)
        at ml.combust.bundle.serializer.BundleSerializer.read(BundleSerializer.scala:49)
        at ml.combust.bundle.BundleFile.load(BundleFile.scala:87)
        at ml.combust.mleap.runtime.MleapSupport$MleapBundleFileOps.loadMleapBundle(MleapSupport.scala:18)
        at ml.combust.mleap.serving.MleapService$$anonfun$loadModel$2$$anonfun$apply$2.apply(MleapService.scala:28)
        at ml.combust.mleap.serving.MleapService$$anonfun$loadModel$2$$anonfun$apply$2.apply(MleapService.scala:27)
        at resource.AbstractManagedResource$$anonfun$5.apply(AbstractManagedResource.scala:88)
        at scala.util.control.Exception$Catch$$anonfun$either$1.apply(Exception.scala:125)
        at scala.util.control.Exception$Catch$$anonfun$either$1.apply(Exception.scala:125)
        at scala.util.control.Exception$Catch.apply(Exception.scala:103)
        at scala.util.control.Exception$Catch.either(Exception.scala:125)
        at resource.AbstractManagedResource.acquireFor(AbstractManagedResource.scala:88)
        at resource.ManagedResourceOperations$class.apply(ManagedResourceOperations.scala:26)
        at resource.AbstractManagedResource.apply(AbstractManagedResource.scala:50)
        at resource.DeferredExtractableManagedResource$$anonfun$tried$1.apply(AbstractManagedResource.scala:33)
        at scala.util.Try$.apply(Try.scala:192)
        at resource.DeferredExtractableManagedResource.tried(AbstractManagedResource.scala:33)
        at ml.combust.mleap.serving.MleapService$$anonfun$loadModel$2.apply(MleapService.scala:29)
        at ml.combust.mleap.serving.MleapService$$anonfun$loadModel$2.apply(MleapService.scala:29)
        at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
        at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
        at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:39)
        at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:415)
        at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
        at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
        at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
        at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

[ERROR] [04/20/2017 12:22:19.021] [MleapServing-akka.actor.default-dispatcher-13] [akka.actor.ActorSystemImpl(MleapServing)] Error during processing of request: 'bundle.json'. Completing with 500 Internal Server Error response.

The file bundle.json exists in the zipfile alongside the root folder. The airbnb Random Forest model example fails as well (loading it with curl -X PUT -H "content-type: application/json" -d '{"path":"airbnb.model.rf-0.6.0-SNAPSHOT.zip"}' http://localhost:65327/model with the same error.

[kidtronnix]

Hi,

Thanks for looking at this. In the end I did get my code working, this is what I ended up using in the end.

import ml.combust.bundle.BundleFile
import ml.combust.bundle.serializer.SerializationFormat
import org.apache.spark.ml.feature.{StringIndexerModel, VectorAssembler}
import org.apache.spark.ml.mleap.SparkUtil
import ml.combust.mleap.spark.SparkSupport._
import resource._

// Create a sample pipeline that we will serialize
// And then deserialize using various formats
val stringIndexer = new StringIndexerModel(labels = Array("Hello, MLeap!", "Another row")).
  setInputCol("a_string").
  setOutputCol("a_string_index")
val featureAssembler = new VectorAssembler().setInputCols(Array("a_string_index")).
  setOutputCol("features")

// create pipeline that will transform data
val pipeline = SparkUtil.createPipelineModel(Array(stringIndexer, featureAssembler))

// write to tmp storage
for(bundle <- managed(BundleFile("jar:file:/tmp/simple.json.zip"))) {
  pipeline.writeBundle.format(SerializationFormat.Json).save(bundle)
}

[hollinwilkins]

Closing this issue. Executable scripts can be found in the mleap-service submodule or on dockerhub in our prebuilt docker images.