The Gaudi Framework  v29r0 (ff2e7097)
PrecedenceRulesGraph.cpp
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1 #include "PrecedenceRulesGraph.h"
2 #include "PRGraphVisitors.h"
3 
4 #include <boost/property_map/transform_value_property_map.hpp>
5 #include <fstream>
6 
8 
9 #define ON_DEBUG if ( msgLevel( MSG::DEBUG ) )
10 #define ON_VERBOSE if ( msgLevel( MSG::VERBOSE ) )
11 
12 namespace concurrency
13 {
14 
15  //---------------------------------------------------------------------------
16  std::string ControlFlowNode::stateToString( const int& stateId ) const
17  {
18 
19  if ( 0 == stateId )
20  return "FALSE";
21  else if ( 1 == stateId )
22  return "TRUE";
23  else
24  return "UNDEFINED";
25  }
26 
27  //---------------------------------------------------------------------------
29  {
30 
31  for ( auto node : m_children ) delete node;
32  }
33 
34  //---------------------------------------------------------------------------
36  {
37 
38  if ( std::find( m_parents.begin(), m_parents.end(), node ) == m_parents.end() ) m_parents.push_back( node );
39  }
40 
41  //--------------------------------------------------------------------------
43  {
44 
45  if ( std::find( m_children.begin(), m_children.end(), node ) == m_children.end() ) m_children.push_back( node );
46  }
47 
48  //---------------------------------------------------------------------------
50  const std::vector<int>& node_decisions, const unsigned int& recursionLevel ) const
51  {
52 
53  output << std::string( recursionLevel, ' ' ) << m_nodeName << " (" << m_nodeIndex << ")"
54  << ", w/ decision: " << stateToString( node_decisions[m_nodeIndex] ) << "(" << node_decisions[m_nodeIndex]
55  << ")" << std::endl;
56 
57  for ( auto daughter : m_children ) daughter->printState( output, states, node_decisions, recursionLevel + 2 );
58  }
59 
60  //---------------------------------------------------------------------------
62  {
63 
64  if ( visitor.visitEnter( *this ) ) {
65  // try to aggregate a decision
66  bool result = visitor.visit( *this );
67 
68  // if a decision was made for this node, propagate the result upwards
69  if ( result ) {
70  for ( auto parent : m_parents ) {
71  parent->accept( visitor );
72  }
73  return false;
74  }
75 
76  // if no decision can be made yet, request further information downwards
77  for ( auto child : m_children ) {
78  bool result = child->accept( visitor );
79  if ( !m_modeConcurrent )
80  if ( result ) break; // stop on first unresolved child if its decision hub is sequential
81  }
82 
83  return true; // visitor was accepted to try to aggregate the node's decision
84  }
85 
86  return false; // visitor was rejected (since the decision node has an aggregated decision already)
87  }
88 
89  //---------------------------------------------------------------------------
91  {
92 
93  for ( auto node : m_outputs ) {
94  delete node;
95  }
96  }
97 
98  //---------------------------------------------------------------------------
100  const std::vector<int>& node_decisions, const unsigned int& recursionLevel ) const
101  {
102  output << std::string( recursionLevel, ' ' ) << m_nodeName << " (" << m_nodeIndex << ")"
103  << ", w/ decision: " << stateToString( node_decisions[m_nodeIndex] ) << "(" << node_decisions[m_nodeIndex]
104  << ")"
105  << ", in state: " << AlgsExecutionStates::stateNames[states[m_algoIndex]] << std::endl;
106  }
107 
108  //---------------------------------------------------------------------------
110  {
111 
112  if ( visitor.visitEnter( *this ) ) {
113  visitor.visit( *this );
114  return true; // visitor was accepted to promote the algorithm
115  }
116 
117  return false; // visitor was rejected (since the algorithm already produced a decision)
118  }
119 
120  //---------------------------------------------------------------------------
122  {
123 
124  if ( std::find( m_parents.begin(), m_parents.end(), node ) == m_parents.end() ) m_parents.push_back( node );
125  }
126 
127  //---------------------------------------------------------------------------
129  {
130 
131  if ( std::find( m_outputs.begin(), m_outputs.end(), node ) == m_outputs.end() ) m_outputs.push_back( node );
132  }
133 
134  //---------------------------------------------------------------------------
136  {
137 
138  if ( std::find( m_inputs.begin(), m_inputs.end(), node ) == m_inputs.end() ) m_inputs.push_back( node );
139  }
140 
141  //---------------------------------------------------------------------------
143  {
144 
145  if ( serviceLocator()->existsService( "CondSvc" ) ) {
146  SmartIF<ICondSvc> condSvc{serviceLocator()->service( "CondSvc" )};
147  if ( condSvc.isValid() ) {
148  info() << "CondSvc found. DF precedence rules will be augmented with 'Conditions'" << endmsg;
149  m_conditionsRealmEnabled = true;
150  }
151  }
152 
153  // Detach condition algorithms from the CF realm
154  if ( m_conditionsRealmEnabled ) {
155  SmartIF<ICondSvc> condSvc{serviceLocator()->service( "CondSvc", false )};
156  auto& condAlgs = condSvc->condAlgs();
157  for ( const auto algo : condAlgs ) {
158  auto itA = m_algoNameToAlgoNodeMap.find( algo->name() );
159  concurrency::AlgorithmNode* algoNode;
160  if ( itA != m_algoNameToAlgoNodeMap.end() ) {
161  algoNode = itA->second;
162  debug() << "Detaching condition algorithm '" << algo->name() << "' from the CF realm.." << endmsg;
163  for ( auto parent : algoNode->getParentDecisionHubs() ) {
164  parent->m_children.erase( std::remove( parent->m_children.begin(), parent->m_children.end(), algoNode ),
165  parent->m_children.end() );
166  }
167  algoNode->m_parents.clear();
168 
169  } else {
170  warning() << "Algorithm '" << algo->name() << "' is not registered in the graph" << endmsg;
171  }
172  }
173  }
174 
175  StatusCode sc = buildDataDependenciesRealm();
176 
177  if ( !sc.isSuccess() ) error() << "Could not build the data dependency realm." << endmsg;
178 
179  ON_DEBUG debug() << dumpDataFlow() << endmsg;
180 
181  return sc;
182  }
183 
184  //---------------------------------------------------------------------------
186  {
187 
188  const std::string& algoName = algo->name();
189 
190  m_algoNameToAlgoInputsMap[algoName] = algo->inputDataObjs();
191  m_algoNameToAlgoOutputsMap[algoName] = algo->outputDataObjs();
192 
193  ON_VERBOSE
194  {
195  verbose() << " Inputs of " << algoName << ": ";
196  for ( auto tag : algo->inputDataObjs() ) verbose() << tag << " | ";
197  verbose() << endmsg;
198 
199  verbose() << " Outputs of " << algoName << ": ";
200  for ( auto tag : algo->outputDataObjs() ) verbose() << tag << " | ";
201  verbose() << endmsg;
202  }
203  }
204 
205  //---------------------------------------------------------------------------
207  {
208 
209  StatusCode global_sc( StatusCode::SUCCESS, true );
210 
211  // Production of DataNodes by AlgorithmNodes (DataNodes are created here)
212  for ( auto algo : m_algoNameToAlgoNodeMap ) {
213 
214  auto& outputs = m_algoNameToAlgoOutputsMap[algo.first];
215  for ( auto output : outputs ) {
216  const auto sc = addDataNode( output );
217  if ( !sc.isSuccess() ) {
218  error() << "Extra producer (" << algo.first << ") for DataObject @ " << output
219  << " has been detected: this is not allowed." << endmsg;
220  global_sc = sc;
221  }
222  auto dataNode = getDataNode( output );
223  dataNode->addProducerNode( algo.second );
224  algo.second->addOutputDataNode( dataNode );
225  ON_DEBUG
226  { // Mirror the action above in the BGL-based graph
227  boost::add_edge( node( algo.second->getNodeName() ), node( output.fullKey() ), m_PRGraph );
228  }
229  }
230  }
231 
232  // Consumption of DataNodes by AlgorithmNodes
233  for ( auto algo : m_algoNameToAlgoNodeMap ) {
234 
235  for ( auto input : m_algoNameToAlgoInputsMap[algo.first] ) {
236 
237  DataNode* dataNode = nullptr;
238 
239  auto itP = m_dataPathToDataNodeMap.find( input );
240 
241  if ( itP != m_dataPathToDataNodeMap.end() ) dataNode = getDataNode( input );
242 
243  if ( dataNode ) {
244  dataNode->addConsumerNode( algo.second );
245  algo.second->addInputDataNode( dataNode );
246  ON_DEBUG
247  { // Mirror the action above in the BGL-based graph
248  boost::add_edge( node( input.fullKey() ), node( algo.second->getNodeName() ), m_PRGraph );
249  }
250  }
251  }
252  }
253 
254  return global_sc;
255  }
256 
257  //---------------------------------------------------------------------------
258  StatusCode PrecedenceRulesGraph::addAlgorithmNode( Algorithm* algo, const std::string& parentName, bool inverted,
259  bool allPass )
260  {
261 
263 
264  // Create new, or fetch existent, AlgorithmNode
265  auto& algoName = algo->name();
266  auto itA = m_algoNameToAlgoNodeMap.find( algoName );
267  concurrency::AlgorithmNode* algoNode;
268  if ( itA != m_algoNameToAlgoNodeMap.end() ) {
269  algoNode = itA->second;
270  } else {
271  algoNode = new concurrency::AlgorithmNode( *this, algo, m_nodeCounter, m_algoCounter, inverted, allPass );
272  ON_DEBUG
273  { // Mirror the action above in the BGL-based graph
274  auto source =
275  boost::add_vertex( AlgoProps( algo, m_nodeCounter, m_algoCounter, inverted, allPass ), m_PRGraph );
276  boost::add_edge( source, node( parentName ), m_PRGraph );
277  }
278  ++m_nodeCounter;
279  ++m_algoCounter;
280  m_algoNameToAlgoNodeMap[algoName] = algoNode;
281  ON_VERBOSE verbose() << "AlgoNode " << algoName << " added @ " << algoNode << endmsg;
282  registerIODataObjects( algo );
283  }
284 
285  // Attach AlgorithmNode to its CF decision hub
286  auto itP = m_decisionNameToDecisionHubMap.find( parentName );
287  if ( itP != m_decisionNameToDecisionHubMap.end() ) {
288  auto parentNode = itP->second;
289  ON_VERBOSE verbose() << "Attaching AlgorithmNode '" << algo->name() << "' to DecisionNode '" << parentName << "'"
290  << endmsg;
291 
292  parentNode->addDaughterNode( algoNode );
293  algoNode->addParentNode( parentNode );
294  } else {
295  sc = StatusCode::FAILURE;
296  error() << "Requested DecisionNode '" << parentName << "' was not found" << endmsg;
297  }
298 
299  return sc;
300  }
301 
302  //---------------------------------------------------------------------------
304  {
305 
306  return m_algoNameToAlgoNodeMap.at( algoName );
307  }
308 
309  //---------------------------------------------------------------------------
311  {
312 
313  StatusCode sc;
314 
315  auto itD = m_dataPathToDataNodeMap.find( dataPath );
316  concurrency::DataNode* dataNode;
317  if ( itD != m_dataPathToDataNodeMap.end() ) {
318  dataNode = itD->second;
319  sc = StatusCode::SUCCESS;
320  } else {
321  if ( !m_conditionsRealmEnabled ) {
322  dataNode = new concurrency::DataNode( *this, dataPath );
323  ON_VERBOSE verbose() << " DataNode for " << dataPath << " added @ " << dataNode << endmsg;
324  } else {
325  SmartIF<ICondSvc> condSvc{serviceLocator()->service( "CondSvc", false )};
326  if ( condSvc->isRegistered( dataPath ) ) {
327  dataNode = new concurrency::ConditionNode( *this, dataPath, condSvc );
328  ON_VERBOSE verbose() << " ConditionNode for " << dataPath << " added @ " << dataNode << endmsg;
329  } else {
330  dataNode = new concurrency::DataNode( *this, dataPath );
331  ON_VERBOSE verbose() << " DataNode for " << dataPath << " added @ " << dataNode << endmsg;
332  }
333  }
334 
335  m_dataPathToDataNodeMap[dataPath] = dataNode;
336 
337  sc = StatusCode::SUCCESS;
338  ON_DEBUG
339  { // Mirror the action above in the BGL-based graph
340  boost::add_vertex( DataProps( dataPath ), m_PRGraph );
341  }
342  }
343 
344  return sc;
345  }
346 
347  //---------------------------------------------------------------------------
349  {
350 
351  return m_dataPathToDataNodeMap.at( dataPath );
352  }
353 
354  //---------------------------------------------------------------------------
356  bool modeConcurrent, bool modePromptDecision, bool modeOR,
357  bool allPass )
358  {
359 
361 
362  auto& decisionHubName = decisionHubAlgo->name();
363 
364  auto itP = m_decisionNameToDecisionHubMap.find( parentName );
365  concurrency::DecisionNode* parentNode;
366  if ( itP != m_decisionNameToDecisionHubMap.end() ) {
367  parentNode = itP->second;
368  auto itA = m_decisionNameToDecisionHubMap.find( decisionHubName );
369  concurrency::DecisionNode* decisionHubNode;
370  if ( itA != m_decisionNameToDecisionHubMap.end() ) {
371  decisionHubNode = itA->second;
372  } else {
373  decisionHubNode = new concurrency::DecisionNode( *this, m_nodeCounter, decisionHubName, modeConcurrent,
374  modePromptDecision, modeOR, allPass );
375  m_decisionNameToDecisionHubMap[decisionHubName] = decisionHubNode;
376 
377  ON_DEBUG
378  { // Mirror the action above in the BGL-based graph
379  auto source = boost::add_vertex(
380  DecisionHubProps( decisionHubName, m_nodeCounter, modeConcurrent, modePromptDecision, modeOR, allPass ),
381  m_PRGraph );
382  boost::add_edge( source, node( parentName ), m_PRGraph );
383  }
384 
385  ++m_nodeCounter;
386 
387  ON_VERBOSE verbose() << "Decision hub node " << decisionHubName << " added @ " << decisionHubNode << endmsg;
388  }
389 
390  parentNode->addDaughterNode( decisionHubNode );
391  decisionHubNode->addParentNode( parentNode );
392  } else {
393  sc = StatusCode::FAILURE;
394  error() << "Decision hub node " << parentName << ", requested to be parent, is not registered." << endmsg;
395  }
396 
397  return sc;
398  }
399 
400  //---------------------------------------------------------------------------
401  void PrecedenceRulesGraph::addHeadNode( const std::string& headName, bool modeConcurrent, bool modePromptDecision,
402  bool modeOR, bool allPass )
403  {
404 
405  auto itH = m_decisionNameToDecisionHubMap.find( headName );
406  if ( itH != m_decisionNameToDecisionHubMap.end() ) {
407  m_headNode = itH->second;
408  } else {
409  m_headNode = new concurrency::DecisionNode( *this, m_nodeCounter, headName, modeConcurrent, modePromptDecision,
410  modeOR, allPass );
411  m_decisionNameToDecisionHubMap[headName] = m_headNode;
412 
413  ON_DEBUG
414  { // Mirror the action above in the BGL-based graph
415  boost::add_vertex(
416  DecisionHubProps( headName, m_nodeCounter, modeConcurrent, modePromptDecision, modeOR, allPass ),
417  m_PRGraph );
418  }
419 
420  ++m_nodeCounter;
421  }
422  }
423 
424  //---------------------------------------------------------------------------
426  {
427 
428  PRVertexDesc target{};
429 
430  for ( auto vp = vertices( m_PRGraph ); vp.first != vp.second; ++vp.first ) {
431  PRVertexDesc v = *vp.first;
432  if ( boost::apply_visitor( precedence::VertexName(), m_PRGraph[v] ) == name ) {
433  target = v;
434  break;
435  }
436  }
437 
438  return target;
439  }
440 
441  //---------------------------------------------------------------------------
442  void PrecedenceRulesGraph::accept( const std::string& algo_name, IGraphVisitor& visitor ) const
443  {
444  getAlgorithmNode( algo_name )->accept( visitor );
445  }
446 
447  //---------------------------------------------------------------------------
449  {
450 
451  info() << "Starting ranking by data outputs .. " << endmsg;
452  for ( auto& pair : m_algoNameToAlgoNodeMap ) {
453  ON_DEBUG debug() << " Ranking " << pair.first << "... " << endmsg;
454  pair.second->accept( ranker );
455  ON_DEBUG debug() << " ... rank of " << pair.first << ": " << pair.second->getRank() << endmsg;
456  }
457  }
458 
460  {
461  std::ostringstream ost;
462  dumpControlFlow( ost, m_headNode, 0 );
463  return ost.str();
464  }
465 
466  void PrecedenceRulesGraph::dumpControlFlow( std::ostringstream& ost, ControlFlowNode* node, const int& indent ) const
467  {
468  ost << std::string( indent * 2, ' ' );
469  DecisionNode* dn = dynamic_cast<DecisionNode*>( node );
470  AlgorithmNode* an = dynamic_cast<AlgorithmNode*>( node );
471  if ( dn != 0 ) {
472  if ( node != m_headNode ) {
473  ost << node->getNodeName() << " [Seq] ";
474  ost << ( ( dn->m_modeConcurrent ) ? " [Concurrent] " : " [Sequential] " );
475  ost << ( ( dn->m_modePromptDecision ) ? " [Prompt] " : "" );
476  ost << ( ( dn->m_modeOR ) ? " [OR] " : "" );
477  ost << ( ( dn->m_allPass ) ? " [PASS] " : "" );
478  ost << "\n";
479  }
480  const std::vector<ControlFlowNode*>& dth = dn->getDaughters();
481  for ( std::vector<ControlFlowNode*>::const_iterator itr = dth.begin(); itr != dth.end(); ++itr ) {
482  dumpControlFlow( ost, *itr, indent + 1 );
483  }
484  } else if ( an != 0 ) {
485  ost << node->getNodeName() << " [Alg] ";
486  if ( an != 0 ) {
487  auto ar = an->getAlgorithm();
488  ost << " [n= " << ar->cardinality() << "]";
489  ost << ( ( !ar->isClonable() ) ? " [unclonable] " : "" );
490  }
491  ost << "\n";
492  }
493  }
494 
495  //---------------------------------------------------------------------------
497  {
498 
499  const char idt[] = " ";
500  std::ostringstream ost;
501 
502  ost << "\n" << idt << "====================================\n";
503  ost << idt << "Data origins and destinations:\n";
504  ost << idt << "====================================\n";
505 
506  for ( auto& pair : m_dataPathToDataNodeMap ) {
507 
508  for ( auto algoNode : pair.second->getProducers() ) ost << idt << " " << algoNode->getNodeName() << "\n";
509 
510  ost << idt << " V\n";
511  ost << idt << " o " << pair.first << "\n";
512  ost << idt << " V\n";
513 
514  for ( auto algoNode : pair.second->getConsumers() ) ost << idt << " " << algoNode->getNodeName() << "\n";
515 
516  ost << idt << "====================================\n";
517  }
518 
519  return ost.str();
520  }
521 
522  //---------------------------------------------------------------------------
523 
525  {
526  boost::filesystem::ofstream myfile;
527  myfile.open( fileName, std::ios::app );
528 
529  // Declare properties to dump
530  boost::dynamic_properties dp;
531 
532  using boost::make_transform_value_property_map;
533  using boost::apply_visitor;
534  using boost::get;
535  using boost::vertex_bundle;
536 
537  dp.property( "Entity", make_transform_value_property_map(
538  []( VariantVertexProps const& v ) { return boost::lexical_cast<std::string>( v ); },
539  get( vertex_bundle, m_PRGraph ) ) );
540 
541  dp.property( "Name", make_transform_value_property_map(
542  []( VariantVertexProps const& v ) { return apply_visitor( precedence::VertexName(), v ); },
543  get( vertex_bundle, m_PRGraph ) ) );
544 
545  dp.property( "Mode", make_transform_value_property_map(
546  []( VariantVertexProps const& v ) { return apply_visitor( precedence::GroupMode(), v ); },
547  get( vertex_bundle, m_PRGraph ) ) );
548 
549  dp.property( "Logic",
550  make_transform_value_property_map(
551  []( VariantVertexProps const& v ) { return apply_visitor( precedence::GroupLogic(), v ); },
552  get( vertex_bundle, m_PRGraph ) ) );
553 
554  dp.property( "Decision Negation",
555  make_transform_value_property_map(
556  []( VariantVertexProps const& v ) { return apply_visitor( precedence::DecisionNegation(), v ); },
557  get( vertex_bundle, m_PRGraph ) ) );
558 
559  dp.property( "Negative Decision Inversion",
560  make_transform_value_property_map(
561  []( VariantVertexProps const& v ) { return apply_visitor( precedence::AllPass(), v ); },
562  get( vertex_bundle, m_PRGraph ) ) );
563 
564  dp.property( "Exit Policy",
565  make_transform_value_property_map(
566  []( VariantVertexProps const& v ) { return apply_visitor( precedence::GroupExit(), v ); },
567  get( vertex_bundle, m_PRGraph ) ) );
568 
569  dp.property( "Operations",
570  make_transform_value_property_map(
571  []( VariantVertexProps const& v ) { return apply_visitor( precedence::Operations(), v ); },
572  get( vertex_bundle, m_PRGraph ) ) );
573 
574  dp.property( "CF Decision", make_transform_value_property_map(
575  [&slot]( VariantVertexProps const& v ) {
576  return apply_visitor( precedence::CFDecision( slot ), v );
577  },
578  get( vertex_bundle, m_PRGraph ) ) );
579 
580  dp.property( "Algorithm State", make_transform_value_property_map(
581  [&slot]( VariantVertexProps const& v ) {
582  return apply_visitor( precedence::FSMState( slot ), v );
583  },
584  get( vertex_bundle, m_PRGraph ) ) );
585 
586  SmartIF<ITimelineSvc> timelineSvc = m_svcLocator->service<ITimelineSvc>( "TimelineSvc", false );
587  if ( timelineSvc.isValid() ) {
588  dp.property( "Start Time (epoch ns)", make_transform_value_property_map(
589  [&timelineSvc]( VariantVertexProps const& v ) {
590  return apply_visitor( precedence::StartTime( timelineSvc ), v );
591  },
592  get( vertex_bundle, m_PRGraph ) ) );
593  dp.property( "End Time (epoch ns)", make_transform_value_property_map(
594  [&timelineSvc]( VariantVertexProps const& v ) {
595  return apply_visitor( precedence::EndTime( timelineSvc ), v );
596  },
597  get( vertex_bundle, m_PRGraph ) ) );
598  dp.property( "Runtime (ns)", make_transform_value_property_map(
599  [&timelineSvc]( VariantVertexProps const& v ) {
600  return apply_visitor( precedence::Duration( timelineSvc ), v );
601  },
602  get( vertex_bundle, m_PRGraph ) ) );
603  } else {
604  warning() << "Failed to get the TimelineSvc, timing will not be added to "
605  << "the task precedence rules dump" << endmsg;
606  }
607 
608  boost::write_graphml( myfile, m_PRGraph, dp );
609 
610  myfile.close();
611  }
612 
613  //---------------------------------------------------------------------------
615  {
616  boost::filesystem::ofstream myfile;
617  myfile.open( fileName, std::ios::app );
618 
619  // Fill runtimes (as this could not be done on the fly during trace assembling)
620  SmartIF<ITimelineSvc> timelineSvc = m_svcLocator->service<ITimelineSvc>( "TimelineSvc", false );
621  if ( !timelineSvc.isValid() ) {
622  warning() << "Failed to get the TimelineSvc, timing will not be added to "
623  << "the task precedence trace dump" << endmsg;
624  } else {
625 
626  typedef boost::graph_traits<precedence::PRGraph>::vertex_iterator vertex_iter;
628  for ( vp = vertices( m_precTrace ); vp.first != vp.second; ++vp.first ) {
629  TimelineEvent te{};
630  te.algorithm = m_precTrace[*vp.first].m_name;
631  timelineSvc->getTimelineEvent( te );
632  int runtime = std::chrono::duration_cast<std::chrono::nanoseconds>( te.end - te.start ).count();
633  m_precTrace[*vp.first].m_runtime = runtime;
634  }
635  }
636 
637  // Declare properties to dump
638  boost::dynamic_properties dp;
639  using boost::get;
641  dp.property( "Name", get( &AlgoTraceProps::m_name, m_precTrace ) );
642  dp.property( "Rank", get( &AlgoTraceProps::m_rank, m_precTrace ) );
643  dp.property( "Runtime", get( &AlgoTraceProps::m_runtime, m_precTrace ) );
644 
645  boost::write_graphml( myfile, m_precTrace, dp );
646 
647  myfile.close();
648  }
649 
651  {
652 
653  std::string u_name = u == nullptr ? "ENTRY" : u->getNodeName();
654  std::string v_name = v->getNodeName();
655 
657 
658  if ( u == nullptr ) {
659  auto itT = m_prec_trace_map.find( "ENTRY" );
660  if ( itT != m_prec_trace_map.end() ) {
661  source = itT->second;
662  } else {
663  source = boost::add_vertex( precedence::AlgoTraceProps( "ENTRY", -1, -1, -1.0 ), m_precTrace );
664  m_prec_trace_map["ENTRY"] = source;
665  }
666  } else {
667  auto itS = m_prec_trace_map.find( u_name );
668  if ( itS != m_prec_trace_map.end() ) {
669  source = itS->second;
670  } else {
671 
672  source =
673  boost::add_vertex( precedence::AlgoTraceProps( u_name, u->getAlgoIndex(), u->getRank(), -1 ), m_precTrace );
674  m_prec_trace_map[u_name] = source;
675  }
676  }
677 
679 
680  auto itP = m_prec_trace_map.find( v_name );
681  if ( itP != m_prec_trace_map.end() ) {
682  target = itP->second;
683  } else {
684 
685  target =
686  boost::add_vertex( precedence::AlgoTraceProps( v_name, v->getAlgoIndex(), v->getRank(), -1 ), m_precTrace );
687  m_prec_trace_map[v_name] = target;
688  }
689 
690  boost::add_edge( source, target, m_precTrace );
691 
692  ON_DEBUG debug() << u_name << "-->" << v_name << " precedence trait added" << endmsg;
693  }
694 
695 } // namespace
PRVertexDesc node(const std::string &) const
BGL-based facilities.
const unsigned int & getAlgoIndex() const
Get algorithm index.
StatusCode addAlgorithmNode(Algorithm *daughterAlgo, const std::string &parentName, bool inverted, bool allPass)
Add algorithm node.
const std::string & name() const override
The identifying name of the algorithm object.
Definition: Algorithm.cpp:731
void addDaughterNode(ControlFlowNode *node)
Add a daughter node.
boost::graph_traits< PrecTrace >::vertex_descriptor AlgoTraceVertex
boost::graph_traits< PRGraph >::vertex_descriptor PRVertexDesc
const DataObjIDColl & outputDataObjs() const override
bool isSuccess() const
Test for a status code of SUCCESS.
Definition: StatusCode.h:75
virtual bool visit(DecisionNode &)
Definition: IGraphVisitor.h:18
void dumpPrecRules(const boost::filesystem::path &, const EventSlot &slot)
dump to file the precedence rules
T endl(T...args)
StatusCode addDecisionHubNode(Algorithm *daughterAlgo, const std::string &parentName, bool modeConcurrent, bool modePromptDecision, bool modeOR, bool allPass)
Add a node, which aggregates decisions of direct daughter nodes.
std::vector< DecisionNode * > m_parents
Control flow parents of an AlgorithmNode (DecisionNodes)
void addHeadNode(const std::string &headName, bool modeConcurrent, bool modePromptDecision, bool modeOR, bool allPass)
Add a node, which has no parents.
std::string algorithm
Definition: ITimelineSvc.h:18
std::string stateToString(const int &stateId) const
Translation between state id and name.
T duration_cast(T...args)
T end(T...args)
StatusCode addDataNode(const DataObjID &dataPath)
Add DataNode that represents DataObject.
AlgorithmNode * getAlgorithmNode(const std::string &algoName) const
Get the AlgorithmNode from by algorithm name using graph index.
void rankAlgorithms(IGraphVisitor &ranker) const
Rank Algorithm nodes by the number of data outputs.
#define ON_DEBUG
bool m_allPass
Whether always passing regardless of daughter results.
const std::vector< DecisionNode * > & getParentDecisionHubs() const
Get all parent decision hubs.
T remove(T...args)
virtual bool visitEnter(DecisionNode &) const
Definition: IGraphVisitor.h:17
STL class.
Algorithm * getAlgorithm() const
get Algorithm representatives
virtual void getTimelineEvent(TimelineEvent &) const =0
bool m_modeOR
Whether acting as "and" (false) or "or" node (true)
void addInputDataNode(DataNode *node)
Associate an AlgorithmNode, which is a data consumer of this one.
bool accept(IGraphVisitor &visitor) override
Visitor entry point.
StatusCode initialize()
Initialize graph.
void dumpPrecTrace(const boost::filesystem::path &)
dump to file the precedence trace
const float & getRank() const
Get Algorithm rank.
boost::variant< AlgoProps, DecisionHubProps, DataProps > VariantVertexProps
The AlgsExecutionStates encodes the state machine for the execution of algorithms within a single eve...
virtual const std::set< IAlgorithm * > & condAlgs() const =0
get list of all registered condition Algorithms
This class is used for returning status codes from appropriate routines.
Definition: StatusCode.h:28
const DataObjIDColl & inputDataObjs() const override
std::string dumpDataFlow() const
Print out all data origins and destinations, as reflected in the EF graph.
const std::vector< ControlFlowNode * > & getDaughters() const
Get children nodes.
void accept(const std::string &algo_name, IGraphVisitor &visitor) const
A method to update algorithm node decision, and propagate it upwards.
DataNode * getDataNode(const DataObjID &dataPath) const
Get DataNode by DataObject path using graph index.
bool m_modePromptDecision
Whether to evaluate the hub decision ASA its child decisions allow to do that.
void addEdgeToPrecTrace(const AlgorithmNode *u, const AlgorithmNode *v)
set cause-effect connection between two algorithms in the precedence trace
void addOutputDataNode(DataNode *node)
Associate an AlgorithmNode, which is a data supplier for this one.
Base class from which all concrete algorithm classes should be derived.
Definition: Algorithm.h:78
T find(T...args)
std::vector< InputHandle_t< In > > m_inputs
void addParentNode(DecisionNode *node)
Add a parent node.
bool isValid() const
Allow for check if smart pointer is valid.
Definition: SmartIF.h:68
T begin(T...args)
void registerIODataObjects(const Algorithm *algo)
Register algorithm in the Data Dependency index.
bool m_modeConcurrent
Whether all daughters will be evaluated concurrently or sequentially.
void printState(std::stringstream &output, AlgsExecutionStates &states, const std::vector< int > &node_decisions, const unsigned int &recursionLevel) const override
Print a string representing the control flow state.
Class representing the event slot.
Definition: EventSlot.h:11
void addParentNode(DecisionNode *node)
Add a parent node.
bool accept(IGraphVisitor &visitor) override
Visitor entry point.
const std::string & getNodeName() const
Get node name.
#define ON_VERBOSE
void printState(std::stringstream &output, AlgsExecutionStates &states, const std::vector< int > &node_decisions, const unsigned int &recursionLevel) const override
Print a string representing the control flow state.
StatusCode buildDataDependenciesRealm()
Build data dependency realm WITH data object nodes participating.
std::string dumpControlFlow() const
Print out control flow of Algorithms and Sequences.
~DecisionNode() override
Destructor.
MsgStream & endmsg(MsgStream &s)
MsgStream Modifier: endmsg. Calls the output method of the MsgStream.
Definition: MsgStream.h:209
static std::map< State, std::string > stateNames
void addConsumerNode(AlgorithmNode *node)
Add relationship to consumer AlgorithmNode.