source: branches/HeuristicLab.Hive/sources/HeuristicLab.Hive/HeuristicLab.Hive.Experiment/3.3/HiveJob.cs @ 4550

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
 *
 * HeuristicLab is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 *
 * HeuristicLab is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Linq;
using HeuristicLab.Collections;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Hive.Contracts.BusinessObjects;
using HeuristicLab.Hive.Experiment.Jobs;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Hive.Experiment {
  [StorableClass]
  public class HiveJob : Item {
    private static object locker = new object();

    public override Image ItemImage {
      get {
        if (jobDto.Id == Guid.Empty) { // not yet uploaded
          return HeuristicLab.Common.Resources.VS2008ImageLibrary.Event;
        } else {
          if (jobDto.State == JobState.Offline) return HeuristicLab.Common.Resources.VS2008ImageLibrary.ExecutablePrepared;
          else if (jobDto.State == JobState.WaitForChildJobs) return HeuristicLab.Common.Resources.VS2008ImageLibrary.ExecutablePrepared;
          else if (jobDto.State == JobState.Calculating) return HeuristicLab.Common.Resources.VS2008ImageLibrary.ExecutableStarted;
          else if (jobDto.State == JobState.Aborted) return HeuristicLab.Common.Resources.VS2008ImageLibrary.ExecutableStopped;
          else if (jobDto.State == JobState.Failed) return HeuristicLab.Common.Resources.VS2008ImageLibrary.Error;
          else if (jobDto.State == JobState.Finished) return HeuristicLab.Common.Resources.VS2008ImageLibrary.ExecutableStopped;
          else return HeuristicLab.Common.Resources.VS2008ImageLibrary.Event;
        }
      }
    }

    [Storable]
    private JobDto jobDto;
    public JobDto JobDto {
      get { return jobDto; }
      set {
        if (jobDto != value) {
          jobDto = value;
          OnJobDtoChanged();
          OnToStringChanged();
          OnItemImageChanged();
        }
      }
    }

    [Storable]
    private OptimizerJob job;
    public OptimizerJob Job {
      get { return job; }
      private set {
        if (job != null && syncJobsWithOptimizers) {
          this.childHiveJobs.Clear();
        }
        if (job != value) {
          DergisterOptimizerEvents();
          job = value;
          if (job.ExecutionState == ExecutionState.Stopped) {
            IsFinishedOptimizerDownloaded = true;
          }
          RegisterOptimizerEvents();
          OnJobChanged();
        }
      }
    }

    [Storable]
    private HiveJobList childHiveJobs;
    public ReadOnlyItemList<HiveJob> ChildHiveJobs {
      get { return childHiveJobs.AsReadOnly(); }
    }

    [Storable]
    private bool isFinishedOptimizerDownloaded;
    public bool IsFinishedOptimizerDownloaded {
      get { return isFinishedOptimizerDownloaded; }
      set {
        if (isFinishedOptimizerDownloaded != value) {
          isFinishedOptimizerDownloaded = value;
          OnIsFinishedOptimizerDownloadedChanged();
        }
      }
    }

    [Storable]
    private bool syncJobsWithOptimizers = true;

    public HiveJob() {
      this.JobDto = new JobDto() {
        State = JobState.Offline,
        DateCreated = DateTime.Now,
        CoresNeeded = 1,
        MemoryNeeded = 0
      };
      this.childHiveJobs = new HiveJobList();
      syncJobsWithOptimizers = true;
    }

    public HiveJob(JobDto jobDto)
      : this() {
      this.JobDto = jobDto;
    }

    public HiveJob(JobResult jobResult)
      : this() {
      UpdateFromJobResult(jobResult);
    }

    public HiveJob(OptimizerJob optimizerJob, bool autoCreateChildHiveJobs)
      : this() {
      this.syncJobsWithOptimizers = autoCreateChildHiveJobs;
      this.Job = optimizerJob;
      this.syncJobsWithOptimizers = true;
    }

    public HiveJob(IOptimizer optimizer)
      : this() {
      this.Job = new OptimizerJob(optimizer);
    }

    public HiveJob(SerializedJob serializedJob, bool autoCreateChildHiveJobs)
      : this() {
      this.syncJobsWithOptimizers = autoCreateChildHiveJobs;
      this.JobDto = serializedJob.JobInfo;
      this.Job = SerializedJob.Deserialize<OptimizerJob>(serializedJob.SerializedJobData);
      this.syncJobsWithOptimizers = true;
    }

    /// <summary>
    /// if this.Optimizer is an experiment
    ///   Uses the child-optimizers of this.HiveJob and creates HiveJob-childs
    /// if this.Optimizer is a batchrun
    ///   Creates a number of child-jobs according to repetitions
    /// </summary>
    private void UpdateChildHiveJobs() {
      if (Job != null && syncJobsWithOptimizers) {
        if (Job.Optimizer is Optimization.Experiment) {
          Optimization.Experiment experiment = (Optimization.Experiment)Job.Optimizer;
          foreach (IOptimizer childOpt in experiment.Optimizers) {
            this.childHiveJobs.Add(new HiveJob(childOpt));
          }
        } else if (Job.Optimizer is Optimization.BatchRun) {
          Optimization.BatchRun batchRun = Job.OptimizerAsBatchRun;
          if (batchRun.Algorithm != null) {
            while (this.childHiveJobs.Count < batchRun.Repetitions) {
              this.childHiveJobs.Add(new HiveJob(batchRun.Algorithm));
            }
            while (this.childHiveJobs.Count > batchRun.Repetitions) {
              this.childHiveJobs.Remove(this.childHiveJobs.Last());
            }
          }
        }
      }
    }

    private void RegisterOptimizerEvents() {
      if (Job != null) {
        if (Job.Optimizer is Optimization.Experiment) {
          Optimization.Experiment experiment = Job.OptimizerAsExperiment;
          experiment.Optimizers.ItemsAdded += new Collections.CollectionItemsChangedEventHandler<Collections.IndexedItem<IOptimizer>>(Optimizers_ItemsAdded);
          experiment.Optimizers.ItemsReplaced += new Collections.CollectionItemsChangedEventHandler<Collections.IndexedItem<IOptimizer>>(Optimizers_ItemsReplaced);
          experiment.Optimizers.ItemsRemoved += new Collections.CollectionItemsChangedEventHandler<Collections.IndexedItem<IOptimizer>>(Optimizers_ItemsRemoved);
          experiment.Optimizers.CollectionReset += new CollectionItemsChangedEventHandler<IndexedItem<IOptimizer>>(Optimizers_CollectionReset);
        } else if (Job.Optimizer is Optimization.BatchRun) {
          Optimization.BatchRun batchRun = Job.OptimizerAsBatchRun;
          batchRun.RepetitionsChanged += new EventHandler(batchRun_RepetitionsChanged);
          batchRun.AlgorithmChanged += new EventHandler(batchRun_AlgorithmChanged);
        }

        Job.ComputeInParallelChanged += new EventHandler(Job_ComputeInParallelChanged);
      }
    }

    void batchRun_AlgorithmChanged(object sender, EventArgs e) {
      if (syncJobsWithOptimizers) {
        this.childHiveJobs.Clear();
        UpdateChildHiveJobs();
      }
    }

    void batchRun_RepetitionsChanged(object sender, EventArgs e) {
      if (syncJobsWithOptimizers) {
        UpdateChildHiveJobs();
      }
    }

    private void DergisterOptimizerEvents() {
      if (Job != null && Job.Optimizer is Optimization.Experiment) {
        if (Job.Optimizer is Optimization.Experiment) {
          Optimization.Experiment experiment = Job.OptimizerAsExperiment;
          experiment.Optimizers.ItemsAdded -= new Collections.CollectionItemsChangedEventHandler<Collections.IndexedItem<IOptimizer>>(Optimizers_ItemsAdded);
          experiment.Optimizers.ItemsReplaced -= new Collections.CollectionItemsChangedEventHandler<Collections.IndexedItem<IOptimizer>>(Optimizers_ItemsReplaced);
          experiment.Optimizers.ItemsRemoved -= new Collections.CollectionItemsChangedEventHandler<Collections.IndexedItem<IOptimizer>>(Optimizers_ItemsRemoved);
          experiment.Optimizers.CollectionReset -= new CollectionItemsChangedEventHandler<IndexedItem<IOptimizer>>(Optimizers_CollectionReset);
        } else if (Job.Optimizer is Optimization.BatchRun) {
          Optimization.BatchRun batchRun = Job.OptimizerAsBatchRun;
          batchRun.RepetitionsChanged -= new EventHandler(batchRun_RepetitionsChanged);
          batchRun.AlgorithmChanged -= new EventHandler(batchRun_AlgorithmChanged);
        }

        Job.ComputeInParallelChanged -= new EventHandler(Job_ComputeInParallelChanged);
      }
    }

    private void Optimizers_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IOptimizer>> e) {
      if (syncJobsWithOptimizers && this.Job.ComputeInParallel) {
        foreach (var item in e.Items) {
          if (GetChildByOptimizer(item.Value) == null && item.Value.Name != "Placeholder") {
            this.childHiveJobs.Add(new HiveJob(item.Value));
          }
        }
      }
    }
    private void Optimizers_ItemsReplaced(object sender, CollectionItemsChangedEventArgs<IndexedItem<IOptimizer>> e) {
      if (syncJobsWithOptimizers && this.Job.ComputeInParallel) {
        foreach (var item in e.OldItems) {
          this.childHiveJobs.Remove(this.GetChildByOptimizer(item.Value));
        }
        foreach (var item in e.Items) {
          if (GetChildByOptimizer(item.Value) == null && item.Value.Name != "Placeholder") {
            this.childHiveJobs.Add(new HiveJob(item.Value));
          }
        }
      }
    }
    private void Optimizers_ItemsRemoved(object sender, CollectionItemsChangedEventArgs<IndexedItem<IOptimizer>> e) {
      if (syncJobsWithOptimizers && this.Job.ComputeInParallel) {
        foreach (var item in e.Items) {
          this.childHiveJobs.Remove(this.GetChildByOptimizer(item.Value));
        }
      }
    }
    void Optimizers_CollectionReset(object sender, CollectionItemsChangedEventArgs<IndexedItem<IOptimizer>> e) {
      if (syncJobsWithOptimizers && this.Job.ComputeInParallel) {
        foreach (var item in e.Items) {
          this.childHiveJobs.Remove(this.GetChildByOptimizer(item.Value));
        }
      }
    }

    void Job_ComputeInParallelChanged(object sender, EventArgs e) {
      if (Job != null && syncJobsWithOptimizers) {
        if (Job.ComputeInParallel) {
          // child-hive jobs are not yet created, so create them according to the child-optimizers
          this.UpdateChildHiveJobs();
        } else {
          // child-hive jobs need to be deleted
          this.childHiveJobs.Clear();
        }
      }
    }

    public void AddChildHiveJob(HiveJob hiveJob) {
      this.childHiveJobs.Add(hiveJob);
      syncJobsWithOptimizers = false;
      if (this.Job.Optimizer is Optimization.Experiment) {
        if (!this.Job.OptimizerAsExperiment.Optimizers.Contains(hiveJob.Job.Optimizer)) {
          UpdateOptimizerInExperiment(this.Job.OptimizerAsExperiment, hiveJob.Job);
        }
      } else if (this.Job.Optimizer is Optimization.BatchRun) {
        UpdateOptimizerInBatchRun(this.Job.OptimizerAsBatchRun, hiveJob.Job);
      }
      syncJobsWithOptimizers = true;
    }

    /// <summary>
    /// if this.Optimizer is Experiment
    ///   replace the child-optimizer in the experiment
    /// if this.Optimizer is BatchRun
    ///   add the runs from the optimizerJob to the batchrun and replace the algorithm
    /// </summary>
    public void UpdateChildOptimizer(OptimizerJob optimizerJob, Guid childJobId) {
      syncJobsWithOptimizers = false; // don't sync with optimizers during this method
      ExecutionState executionState = optimizerJob.Optimizer.ExecutionState; // has to be stored before adding the optimizers, because of the sideeffects of updating the optimizers in experiment/batchrun

      if (this.Job.Optimizer is Optimization.Experiment) {
        UpdateOptimizerInExperiment(this.Job.OptimizerAsExperiment, optimizerJob);
        executionState = ExecutionState.Stopped;
      } else if (this.Job.Optimizer is Optimization.BatchRun) {
        UpdateOptimizerInBatchRun(this.Job.OptimizerAsBatchRun, optimizerJob);
        executionState = ExecutionState.Stopped;
      }
      HiveJob child = this.ChildHiveJobs.Single(j => j.JobDto.Id == childJobId);
      if (!optimizerJob.ComputeInParallel) {
        child.syncJobsWithOptimizers = false;
        child.Job = optimizerJob;
        child.syncJobsWithOptimizers = true;
      }
      if (executionState == ExecutionState.Stopped) {
        child.IsFinishedOptimizerDownloaded = true;
      }
      syncJobsWithOptimizers = true;
    }

    /// <summary>
    /// Adds the runs from the optimizerJob to the batchrun and replaces the algorithm 
    /// Sideeffect: the optimizerJob.Optimizer will be prepared (scopes are deleted and executionstate will be reset)
    /// </summary>
    private void UpdateOptimizerInBatchRun(BatchRun batchRun, OptimizerJob optimizerJob) {
      if (batchRun.Algorithm == null) {
        batchRun.Algorithm = (IAlgorithm)optimizerJob.Optimizer; // only set the first optimizer as algorithm. if every time the Algorithm would be set, the runs would be cleared each time
      }
      foreach (IRun run in optimizerJob.Optimizer.Runs) {
        if (!batchRun.Runs.Contains(run))
          batchRun.Runs.Add(run);
      }
    }

    /// <summary>
    /// replace the child-optimizer in the experiment
    /// Sideeffect: the optimizerJob.Optimizer will be prepared (scopes are deleted and executionstate will be reset)
    /// </summary>
    private void UpdateOptimizerInExperiment(Optimization.Experiment experiment, OptimizerJob optimizerJob) {
      if (optimizerJob.IndexInParentOptimizerList < 0)
        throw new IndexOutOfRangeException("IndexInParentOptimizerList must be equal or greater than zero! The Job is invalid and the optimizer-tree cannot be reassembled.");

      while (experiment.Optimizers.Count < optimizerJob.IndexInParentOptimizerList) {
        experiment.Optimizers.Add(new UserDefinedAlgorithm("Placeholder")); // add dummy-entries to Optimizers so that its possible to insert the optimizerJob at the correct position
      }
      if (experiment.Optimizers.Count < optimizerJob.IndexInParentOptimizerList + 1) {
        experiment.Optimizers.Add(optimizerJob.Optimizer);
      } else {
        // if ComputeInParallel==true, don't replace the optimizer (except it is still a Placeholder)
        // this is because Jobs with ComputeInParallel get submitted to hive with their child-optimizers deleted
        if (!optimizerJob.ComputeInParallel || experiment.Optimizers[optimizerJob.IndexInParentOptimizerList].Name == "Placeholder") {
          experiment.Optimizers[optimizerJob.IndexInParentOptimizerList] = optimizerJob.Optimizer;
        }
      }
    }

    /// <summary>
    /// Sets the IndexInParentOptimizerList property of the OptimizerJob
    /// according to the position in the OptimizerList of the parentHiveJob.Job
    /// Recursively updates all the child-jobs as well
    /// </summary>
    internal void SetIndexInParentOptimizerList(HiveJob parentHiveJob) {
      if (parentHiveJob != null) {
        if (parentHiveJob.Job.Optimizer is Optimization.Experiment) {
          this.Job.IndexInParentOptimizerList = parentHiveJob.Job.OptimizerAsExperiment.Optimizers.IndexOf(this.Job.Optimizer);
        } else if (parentHiveJob.Job.Optimizer is Optimization.BatchRun) {
          this.Job.IndexInParentOptimizerList = 0;
        } else {
          throw new NotSupportedException("Only Experiment and BatchRuns are supported");
        }
      }
      foreach (HiveJob child in childHiveJobs) {
        child.SetIndexInParentOptimizerList(this);
      }
    }

    public override string ToString() {
      if (jobDto != null) {
        return job.Name;
      } else {
        return base.ToString();
      }
    }

    public void UpdateFromJobResult(JobResult jobResult) {
      if (jobResult != null) {
        jobDto.Id = jobResult.Id;
        jobDto.DateCreated = jobResult.DateCreated;
        jobDto.DateCalculated = jobResult.DateCalculated;
        jobDto.DateFinished = jobResult.DateFinished;
        jobDto.Exception = jobResult.Exception;
        jobDto.Id = jobResult.Id;
        jobDto.ExecutionTime = jobResult.ExecutionTime;
        jobDto.State = jobResult.State;
        // what about parentJob
        OnJobStateChanged();
        OnToStringChanged();
        OnItemImageChanged();
      }
    }

    /// <summary>
    /// Creates a SerializedJob object containing the JobDto and the IJob-Object as byte[]
    /// </summary>
    /// <param name="withoutChildOptimizers">
    ///   if true the Child-Optimizers will not be serialized (if the job contains an Experiment)
    /// </param>
    public SerializedJob GetAsSerializedJob(bool withoutChildOptimizers) {
      byte[] jobByteArray;
      if (withoutChildOptimizers && this.Job.Optimizer is Optimization.Experiment) {
        OptimizerJob clonedJob = (OptimizerJob)this.Job.Clone(); // use a cloned job, so that the childHiveJob don't get confused
        clonedJob.OptimizerAsExperiment.Optimizers.Clear();
        jobByteArray = SerializedJob.Serialize(clonedJob);
      } else if (withoutChildOptimizers && this.Job.Optimizer is Optimization.BatchRun) {
        OptimizerJob clonedJob = (OptimizerJob)this.Job.Clone();
        clonedJob.OptimizerAsBatchRun.Algorithm = null;
        jobByteArray = SerializedJob.Serialize(clonedJob);
      } else if (this.Job.Optimizer is IAlgorithm) {
        ((IAlgorithm)this.Job.Optimizer).StoreAlgorithmInEachRun = false; // avoid storing the algorithm in runs to reduce size
        jobByteArray = SerializedJob.Serialize(this.Job);
      } else {
        jobByteArray = SerializedJob.Serialize(this.Job);
      }

      UpdateRequiredPlugins();

      SerializedJob serializedJob = new SerializedJob() {
        JobInfo = jobDto,
        SerializedJobData = jobByteArray
      };

      return serializedJob;
    }

    /// <summary>
    /// find out which which plugins are needed for the given object
    /// </summary>
    private void UpdateRequiredPlugins() {
      this.JobDto.PluginsNeeded = HivePluginInfoDto.FindPluginsNeeded(job.GetType());
    }

    #region Events
    public event EventHandler JobDtoChanged;
    private void OnJobDtoChanged() {
      LogMessage("JobDtoChanged");
      EventHandler handler = JobDtoChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }

    public event EventHandler JobStateChanged;
    private void OnJobStateChanged() {
      LogMessage("JobStateChanged (State: " + this.JobDto.State + ", ExecutionTime: " + this.JobDto.ExecutionTime.ToString() + ")");
      EventHandler handler = JobStateChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }

    public event EventHandler JobChanged;
    private void OnJobChanged() {
      Job_ComputeInParallelChanged(this, EventArgs.Empty);
      var handler = JobChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }

    public event EventHandler IsFinishedOptimizerDownloadedChanged;
    private void OnIsFinishedOptimizerDownloadedChanged() {
      var handler = IsFinishedOptimizerDownloadedChanged;
      if (handler != null) handler(this, EventArgs.Empty);
    }
    #endregion

    public void LogMessage(string message) {
      lock (locker) {
        if (job != null) {
          job.Log.LogMessage(message);
        }
      }
    }

    public override IDeepCloneable Clone(Cloner cloner) {
      LogMessage("I am beeing cloned");
      HiveJob clone = (HiveJob)base.Clone(cloner);
      clone.jobDto = (JobDto)cloner.Clone(this.jobDto);
      clone.job = (OptimizerJob)cloner.Clone(this.job);
      return clone;
    }

    /// <summary>
    /// Returns a list of HiveJobs including this and all its child-jobs recursively
    /// </summary>
    public IEnumerable<HiveJob> GetAllHiveJobs() {
      List<HiveJob> jobs = new List<HiveJob>();
      jobs.Add(this);
      foreach (HiveJob child in this.ChildHiveJobs) {
        jobs.AddRange(child.GetAllHiveJobs());
      }
      return jobs;
    }

    public HiveJob GetParentByJobId(Guid jobId) {
      if (this.ChildHiveJobs.SingleOrDefault(j => j.jobDto.Id == jobId) != null)
        return this;
      foreach (HiveJob child in this.childHiveJobs) {
        HiveJob result = child.GetParentByJobId(jobId);
        if (result != null)
          return result;
      }
      return null;
    }


    public HiveJob GetChildByOptimizerJob(OptimizerJob optimizerJob) {
      foreach (var child in ChildHiveJobs) {
        if (child.Job == optimizerJob)
          return child;
      }
      return null;
    }


    public HiveJob GetChildByOptimizer(IOptimizer optimizer) {
      foreach (var child in ChildHiveJobs) {
        if (child.Job.Optimizer == optimizer)
          return child;
      }
      return null;
    }

    /// <summary>
    /// Searches for an HiveJob object with the correct jobId recursively
    /// </summary>
    public HiveJob GetHiveJobByJobId(Guid jobId) {
      if (this.JobDto.Id == jobId) {
        return this;
      } else {
        foreach (HiveJob child in this.ChildHiveJobs) {
          HiveJob result = child.GetHiveJobByJobId(jobId);
          if (result != null)
            return result;
        }
      }
      return null;
    }


    public void RemoveByJobId(Guid jobId) {
      IEnumerable<HiveJob> jobs = ChildHiveJobs.Where(j => j.JobDto.Id == jobId).ToList(); // if Guid.Empty needs to be removed, there could be more than one with this jobId
      foreach (HiveJob j in jobs) {
        this.childHiveJobs.Remove(j);
      }
      foreach (HiveJob child in ChildHiveJobs) {
        child.RemoveByJobId(jobId);
      }
    }

  }
}