Quintiq file version 2.0
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#parent: #root
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Method OnDatasetConstructed
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{
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TextBody:
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[*
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if( ( this.Task( relsize ) > 0
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// When a run is requested to the LibOpt_OptimizerRunController, then no tasks have been started yet.
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or this.Status() = LibOpt_RunStatus::Requested() )
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and MDSEditor::Editor().ObjectInfo( this.MDSID() ).State() <> DatasetState::Temporary().AsString() )
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{
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this.Stop();
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traverse( this, Task, task, isnull( task.SnapshotComponent() ) )
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{
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task.Delete();
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}
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// Create the 'The dataset was unloaded. The run is stopped.' snapshot warning if the current dataset is unloaded during an optimizer run.
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// The warning is not created when a new dataset is created during a run.
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if( this.MDSID() = this.MDSIDRun() )
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{
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traverse( this, Task, task, task.ShouldHaveAbortMessage() )
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{
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LibOpt_SnapshotWarning::Throw( task, Translations::LibOpt_Run_OnDatasetConstructed_AbortingTasks(), LibOpt_Issue::Severity_2_Low() );
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}
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// If a dataset is unloaded and immediately loaded again, then we want to tell the run controller that the run has ended.
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// This ensures that the run controller no longer reserves any threads for this run.
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// (Datasets that are unloaded for a longer amount of time are handled by the DeleteInvalidOptimizerRuns daemon )
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if( this.Optimizer().IsRunControllerEnabled() )
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{
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LibOpt_OptimizerRunController::GetRunControllerDataset()->AbortRun( this.MDSID(), this.Key() );
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}
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}
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else
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{
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// We only reach this else block if a dataset copy of the current dataset is created during the run.
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// The copied dataset should support reruns, so all LibOpt_Scopes are changed to LibOpt_ScopeFats.
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this.DebugScope( true ); // Should be set to true to keep the scopes after the tasks are deleted.
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traverse( this, Scope.astype( LibOpt_ScopeThin ), scope )
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{
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scope.ConvertToFat();
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}
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// We assume that most datasets that are copied during a run are datasets that are created with the 'replannable snapshots' functionality.
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// The IsOptimizerDatasetCopy attribute is only used to enable/disable the 'Reload parent dataset' button in the 'Replannable snapshots' form.
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// Therefore, it isn't an issue that the above assumption is sometimes incorrect.
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this.Optimization().IsOptimizerDatasetCopy( true );
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}
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traverse( this, Task, task )
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{
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task.Delete();
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}
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}
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// Migrate data
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traverse( this, Scope.astype( LibOpt_ScopeFat ).ScopeElementOnScopeDEPRECATED, seos )
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{
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seos.ScopeElement().ScopeElementOnScope( relnew,
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Comment := seos.Comment(),
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Scope := seos.Scope(),
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ScopeAsActiveScopeElements := seos.ScopeAsActiveScopeElements(),
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ScopeAsDeletedScopeElements := seos.ScopeAsDeletedScopeElements() );
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seos.Delete();
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}
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traverse( this, Component.astype( LibOpt_IteratorUntil ), iterator_depr )
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{
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iterator_depr.OnDatasetConstructed();
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}
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traverse( this, Component.astype( LibOpt_Suboptimizer ).SnapshotComponent, snapshotcomponent )
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{
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if( exists( snapshotcomponent, Children.astype( LibOpt_SnapshotAlgorithm ), snapshotalgorithm,
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snapshotalgorithm.ExecutionNr() = 0
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)
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)
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{
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snapshotsalgorithm_sorted := selectsortedset( snapshotcomponent, Children.astype( LibOpt_SnapshotAlgorithm ), snapshotalgorithm,
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// FILTER
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true,
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// VALUE
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snapshotalgorithm.SequenceNr()
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);
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executionnr := 1;
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traverse( snapshotsalgorithm_sorted, Elements, snapshotalgorithm )
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{
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snapshotalgorithm.ExecutionNr( executionnr );
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executionnr++;
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}
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}
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}
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traverse( this, Snapshot.astype( LibOpt_SnapshotSuboptimizer ), snapshotsuboptimizer,
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snapshotsuboptimizer.NrKPILevels() = 0
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)
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{
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snapshotsuboptimizer.NrKPILevels( RealVector::Construct( snapshotsuboptimizer.Improvement() ).Size() );
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}
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traverse( this, Snapshot.astype( LibOpt_SnapshotMP ), snapshot )
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{
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if( RealVector::Construct( snapshot.AbsoluteGaps() ).Size() = 0
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and RealVector::Construct( snapshot.Bounds() ).Size() = 0
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and RealVector::Construct( snapshot.GoalScores() ).Size() = 0
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and RealVector::Construct( snapshot.RelativeGaps() ).Size() = 0 )
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{
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vector := RealVector::Construct( 1 );
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vector.Set( 0, snapshot.AbsoluteGap() );
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snapshot.AbsoluteGaps( vector.AsBinaryValue() );
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vector.Set( 0, snapshot.Bound() );
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snapshot.Bounds( vector.AsBinaryValue() );
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vector.Set( 0, snapshot.GoalScore() );
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snapshot.GoalScores( vector.AsBinaryValue() );
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vector.Set( 0, snapshot.RelativeGap() );
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snapshot.RelativeGaps( vector.AsBinaryValue() );
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}
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if( snapshot.NrGoalLevels() = 0 )
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{
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snapshot.NrGoalLevels( RealVector::Construct( snapshot.GoalScores() ).Size() );
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}
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}
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//sort suboptimizer snapshots
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traverse( this, Component.astype( LibOpt_Suboptimizer ), subOpt )
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{
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if( subOpt.SnapshotSuboptimizer( relsize ) > 0 )
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{
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subOpt.SortSnapshotSuboptimizer( attribute( LibOpt_SnapshotSuboptimizer, SequenceNr ), true );
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}
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else
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{
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//collect the snapshots and add them to this relation
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snapshots := selectsortedset( subOpt, SnapshotComponent.Children.astype( LibOpt_SnapshotSuboptimizer ), ss, true, ss.SequenceNr() );
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traverse( snapshots, Elements, ss )
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{
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subOpt.SnapshotSuboptimizer( relinsert, ss );
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}
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}
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}
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// Create statistics and issues for this run, if they don't exist yet.
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Transaction::Transaction().Propagate( method( LibOpt_Run, CreateStatisticsAndIssuesPrecondition, Boolean ) );
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if( this.Statistic( relsize ) = 0
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and this.AutoAnalysisEnabled()
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and this.CreateStatisticsAndIssuesPrecondition( true /*is fail-fast check*/ )
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)
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{
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Transaction::Transaction().Propagate( method( LibOpt_Run, CreateStatisticsAndIssues ) );
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this.CreateStatisticsAndIssues();
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}
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// Link each `LibOpt_Issue` to its relevant `LibOpt_Run`.
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traverse( this, Statistic.Issue, issue,
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isnull( issue.Run() )
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)
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{
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issue.LinkToRun();
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}
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// Migrate the the PrecisionTimeStamp attribute to the PrecisionTimeStampStartComponent attribute, so that the LibOpt_SnapshotComponent.Duration attribute remains unchanged after a model upgrade.
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traverse( this, Snapshot.astype( LibOpt_SnapshotComponent ), snapshot, snapshot.PrecisionTimeStampStartComponent() = 0 )
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{
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snapshot.PrecisionTimeStampStartComponent( snapshot.PrecisionTimeStamp() );
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}
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*]
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InterfaceProperties { Accessibility: 'Module' }
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}
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