/**
  * Perform any initial processing and caching. This call is optional. Most engines either have
  * negligable set up work or will perform an implicit "prepare" if necessary. The call is provided
  * for those occasions where substantial preparation work is possible (e.g. running a forward
  * chaining rule system) and where an application might wish greater control over when this
  * prepration is done.
  */
 @Override
 public synchronized void prepare() {
   if (isPrepared) return;
   isPrepared = true;
   // initilize the deductions graph
   fdeductions = new FGraph(createDeductionsGraph());
   boolean rulesLoaded = false;
   if (schemaGraph != null) {
     rulesLoaded = preloadDeductions(schemaGraph);
   }
   if (rulesLoaded) {
     engine.fastInit(fdata);
   } else {
     engine.init(true, fdata);
   }
 }
 /**
  * Add one triple to the data graph, run any rules triggered by the new data item, recursively
  * adding any generated triples.
  */
 @Override
 public synchronized void performAdd(Triple t) {
   version++;
   fdata.getGraph().add(t);
   if (isPrepared) {
     engine.add(t);
   }
 }
Exemplo n.º 3
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 /** Set to true to enable derivation caching */
 @Override
 public void setDerivationLogging(boolean recordDerivations) {
   this.recordDerivations = recordDerivations;
   engine.setDerivationLogging(recordDerivations);
   if (recordDerivations) {
     derivations = new OneToManyMap<Triple, Derivation>();
   } else {
     derivations = null;
   }
 }
 /**
  * Adds a set of precomputed triples to the deductions store. These do not, themselves, fire any
  * rules but provide additional axioms that might enable future rule firing when real data is
  * added. Used to implement bindSchema processing in the parent Reasoner.
  *
  * @return return true if the rule set has also been loaded
  */
 protected boolean preloadDeductions(Graph preloadIn) {
   Graph d = fdeductions.getGraph();
   BasicForwardRuleInfGraph preload = (BasicForwardRuleInfGraph) preloadIn;
   // If the rule set is the same we can reuse those as well
   if (preload.rules == rules) {
     // Load raw deductions
     for (Iterator<Triple> i = preload.find(null, null, null); i.hasNext(); ) {
       d.add(i.next());
     }
     engine.setRuleStore(preload.engine.getRuleStore());
     return true;
   } else {
     return false;
   }
 }
Exemplo n.º 5
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 /**
  * Return the number of rules fired since this rule engine instance was created and initialized
  */
 public long getNRulesFired() {
   return engine.getNRulesFired();
 }
Exemplo n.º 6
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 /**
  * Return true if tracing should be acted on - i.e. if traceOn is true and we are past the
  * bootstrap phase.
  */
 @Override
 public boolean shouldTrace() {
   return traceOn && engine.shouldTrace();
 }
Exemplo n.º 7
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 /**
  * Attach a compiled rule set to this inference graph.
  *
  * @param ruleStore a compiled set of rules (i.e. the result of an FRuleEngine.compile).
  */
 public void setRuleStore(Object ruleStore) {
   engine.setRuleStore(ruleStore);
 }