Source Code Cross Referenced for FBLPRuleInfGraph.java in  » RSS-RDF » Jena-2.5.5 » com » hp » hpl » jena » reasoner » rulesys » impl » oldCode » Java Source Code / Java DocumentationJava Source Code and Java Documentation

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Java Source Code / Java Documentation » RSS RDF » Jena 2.5.5 » com.hp.hpl.jena.reasoner.rulesys.impl.oldCode 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /******************************************************************
002:         * File:        FBLPRuleInfGraph.java
003:         * Created by:  Dave Reynolds
004:         * Created on:  26-Jul-2003
005:         * 
006:         * (c) Copyright 2003, 2004, 2005, 2006, 2007, 2008 Hewlett-Packard Development Company, LP
007:         * [See end of file]
008:         * $Id: FBLPRuleInfGraph.java,v 1.8 2008/01/02 12:09:44 andy_seaborne Exp $
009:         *****************************************************************/package com.hp.hpl.jena.reasoner.rulesys.impl.oldCode;
010:
011:        import com.hp.hpl.jena.reasoner.rulesys.*;
012:        import com.hp.hpl.jena.reasoner.rulesys.impl.*;
013:        import com.hp.hpl.jena.reasoner.*;
014:        import com.hp.hpl.jena.graph.*;
015:
016:        import java.util.*;
017:
018:        import com.hp.hpl.jena.util.OneToManyMap;
019:        import com.hp.hpl.jena.util.iterator.*;
020:
021:        import org.apache.commons.logging.Log;
022:        import org.apache.commons.logging.LogFactory;
023:
024:        /**
025:         * An inference graph that uses a mixture of forward and backward
026:         * chaining rules. This is a temporary harness for testing the LP engine.
027:         * When that works the content of this class will be folded into FBRuleInfGraph
028:         * and this one will disappear
029:         * 
030:         * @author <a href="mailto:der@hplb.hpl.hp.com">Dave Reynolds</a>
031:         * @version $Revision: 1.8 $ on $Date: 2008/01/02 12:09:44 $
032:         */
033:        public class FBLPRuleInfGraph extends FBRuleInfGraph {
034:
035:            /** The core backward rule engine which includes all the memoized results */
036:            protected LPBRuleEngine lpbEngine;
037:
038:            static Log logger = LogFactory.getLog(FBLPRuleInfGraph.class);
039:
040:            //  =======================================================================
041:            //  Constructors
042:
043:            /**
044:             * Constructor.
045:             * @param reasoner the reasoner which created this inf graph instance
046:             * @param schema the (optional) schema graph to be included
047:             */
048:            public FBLPRuleInfGraph(Reasoner reasoner, Graph schema) {
049:                super (reasoner, schema);
050:                initLP(schema);
051:            }
052:
053:            /**
054:             * Constructor.
055:             * @param reasoner the reasoner which created this inf graph instance
056:             * @param rules the rules to process
057:             * @param schema the (optional) schema graph to be included
058:             */
059:            public FBLPRuleInfGraph(Reasoner reasoner, List rules, Graph schema) {
060:                super (reasoner, rules, schema);
061:                initLP(schema);
062:            }
063:
064:            /**
065:             * Constructor.
066:             * @param reasoner the reasoner which created this inf graph instance
067:             * @param rules the rules to process
068:             * @param schema the (optional) schema graph to be included
069:             * @param data the data graph to be processed
070:             */
071:            public FBLPRuleInfGraph(Reasoner reasoner, List rules,
072:                    Graph schema, Graph data) {
073:                super (reasoner, rules, schema, data);
074:                initLP(schema);
075:            }
076:
077:            /**
078:             * Initialize the LP engine, based on an optional schema graph.
079:             */
080:            private void initLP(Graph schema) {
081:                if (schema != null && schema instanceof  FBLPRuleInfGraph) {
082:                    LPRuleStore newStore = new LPRuleStore();
083:                    newStore.addAll(((FBLPRuleInfGraph) schema).lpbEngine
084:                            .getRuleStore());
085:                    lpbEngine = new LPBRuleEngine(this , newStore);
086:                } else {
087:                    lpbEngine = new LPBRuleEngine(this );
088:                }
089:            }
090:
091:            //  =======================================================================
092:            //   Interface between infGraph and the goal processing machinery
093:
094:            /**
095:             * Process a call to a builtin predicate
096:             * @param clause the Functor representing the call
097:             * @param env the BindingEnvironment for this call
098:             * @param rule the rule which is invoking this call
099:             * @return true if the predicate succeeds
100:             */
101:            public boolean processBuiltin(Object clause, Rule rule,
102:                    BindingEnvironment env) {
103:                throw new ReasonerException(
104:                        "Internal error in FBLP rule engine, incorrect invocation of building in rule "
105:                                + rule);
106:            }
107:
108:            /**
109:             * Adds a new Backward rule as a rusult of a forward rule process. Only some
110:             * infgraphs support this.
111:             */
112:            public void addBRule(Rule brule) {
113:                //        logger.debug("Adding rule " + brule);
114:                lpbEngine.addRule(brule);
115:                lpbEngine.reset();
116:            }
117:
118:            /**
119:             * Deletes a new Backward rule as a rules of a forward rule process. Only some
120:             * infgraphs support this.
121:             */
122:            public void deleteBRule(Rule brule) {
123:                //        logger.debug("Deleting rule " + brule);
124:                lpbEngine.deleteRule(brule);
125:                lpbEngine.reset();
126:            }
127:
128:            /**
129:             * Adds a set of new Backward rules
130:             */
131:            public void addBRules(List rules) {
132:                for (Iterator i = rules.iterator(); i.hasNext();) {
133:                    Rule rule = (Rule) i.next();
134:                    //            logger.debug("Adding rule " + rule);
135:                    lpbEngine.addRule(rule);
136:                }
137:                lpbEngine.reset();
138:            }
139:
140:            /**
141:             * Return an ordered list of all registered backward rules. Includes those
142:             * generated by forward productions.
143:             */
144:            public List getBRules() {
145:                return lpbEngine.getAllRules();
146:            }
147:
148:            /**
149:             * Set a predicate to be tabled/memoized by the LP engine. 
150:             */
151:            public void setTabled(Node predicate) {
152:                lpbEngine.tablePredicate(predicate);
153:                if (traceOn) {
154:                    logger.info("LP TABLE " + predicate);
155:                }
156:            }
157:
158:            //  =======================================================================
159:            //  Core inf graph methods
160:
161:            /**
162:             * Cause the inference graph to reconsult the underlying graph to take
163:             * into account changes. Normally changes are made through the InfGraph's add and
164:             * remove calls are will be handled appropriately. However, in some cases changes
165:             * are made "behind the InfGraph's back" and this forces a full reconsult of
166:             * the changed data. 
167:             */
168:            public void rebind() {
169:                if (lpbEngine != null)
170:                    lpbEngine.reset();
171:                isPrepared = false;
172:            }
173:
174:            /**
175:             * Set the state of the trace flag. If set to true then rule firings
176:             * are logged out to the Log at "INFO" level.
177:             */
178:            public void setTraceOn(boolean state) {
179:                super .setTraceOn(state);
180:                lpbEngine.setTraceOn(state);
181:            }
182:
183:            /**
184:             * Set to true to enable derivation caching
185:             */
186:            public void setDerivationLogging(boolean recordDerivations) {
187:                this .recordDerivations = recordDerivations;
188:                engine.setDerivationLogging(recordDerivations);
189:                lpbEngine.setDerivationLogging(recordDerivations);
190:                if (recordDerivations) {
191:                    derivations = new OneToManyMap();
192:                } else {
193:                    derivations = null;
194:                }
195:            }
196:
197:            /**
198:             * Return the number of rules fired since this rule engine instance
199:             * was created and initialized
200:             */
201:            public long getNRulesFired() {
202:                return engine.getNRulesFired();
203:            }
204:
205:            /**
206:             * Extended find interface used in situations where the implementator
207:             * may or may not be able to answer the complete query. It will
208:             * attempt to answer the pattern but if its answers are not known
209:             * to be complete then it will also pass the request on to the nested
210:             * Finder to append more results.
211:             * @param pattern a TriplePattern to be matched against the data
212:             * @param continuation either a Finder or a normal Graph which
213:             * will be asked for additional match results if the implementor
214:             * may not have completely satisfied the query.
215:             */
216:            public ExtendedIterator findWithContinuation(TriplePattern pattern,
217:                    Finder continuation) {
218:                checkOpen();
219:                //        System.out.println("FBLP find called on: " + pattern); 
220:                if (!isPrepared)
221:                    prepare();
222:                ExtendedIterator result = new UniqueExtendedIterator(lpbEngine
223:                        .find(pattern));
224:                if (continuation != null) {
225:                    result = result.andThen(continuation.find(pattern));
226:                }
227:                return result.filterDrop(Functor.acceptFilter);
228:            }
229:
230:            /**
231:             * Flush out all cached results. Future queries have to start from scratch.
232:             */
233:            public void reset() {
234:                lpbEngine.reset();
235:                isPrepared = false;
236:            }
237:
238:            /**
239:             * Add one triple to the data graph, run any rules triggered by
240:             * the new data item, recursively adding any generated triples.
241:             */
242:            public synchronized void performAdd(Triple t) {
243:                fdata.getGraph().add(t);
244:                if (useTGCCaching) {
245:                    if (transitiveEngine.add(t))
246:                        isPrepared = false;
247:                }
248:                if (isPrepared) {
249:                    engine.add(t);
250:                }
251:                lpbEngine.reset();
252:            }
253:
254:            /** 
255:             * Removes the triple t (if possible) from the set belonging to this graph. 
256:             */
257:            public void performDelete(Triple t) {
258:                fdata.getGraph().delete(t);
259:                if (useTGCCaching) {
260:                    if (transitiveEngine.delete(t)) {
261:                        if (isPrepared) {
262:                            bEngine.deleteAllRules();
263:                        }
264:                        isPrepared = false;
265:                    }
266:                }
267:                if (isPrepared) {
268:                    getDeductionsGraph().delete(t);
269:                    engine.delete(t);
270:                }
271:                lpbEngine.reset();
272:            }
273:
274:            //  =======================================================================
275:            //  Support for LP engine profiling
276:
277:            /**
278:             * Reset the LP engine profile.
279:             * @param enable it true then profiling will continue with a new empty profile table,
280:             * if false profiling will stop all current data lost.
281:             */
282:            public void resetLPProfile(boolean enable) {
283:                lpbEngine.resetProfile(enable);
284:            }
285:
286:            /**
287:             * Print a profile of LP rules used since the last reset.
288:             */
289:            public void printLPProfile() {
290:                lpbEngine.printProfile();
291:            }
292:
293:        }
294:
295:        /*
296:         (c) Copyright 2003, 2004, 2005, 2006, 2007, 2008 Hewlett-Packard Development Company, LP
297:         All rights reserved.
298:
299:         Redistribution and use in source and binary forms, with or without
300:         modification, are permitted provided that the following conditions
301:         are met:
302:
303:         1. Redistributions of source code must retain the above copyright
304:         notice, this list of conditions and the following disclaimer.
305:
306:         2. Redistributions in binary form must reproduce the above copyright
307:         notice, this list of conditions and the following disclaimer in the
308:         documentation and/or other materials provided with the distribution.
309:
310:         3. The name of the author may not be used to endorse or promote products
311:         derived from this software without specific prior written permission.
312:
313:         THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
314:         IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
315:         OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
316:         IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
317:         INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
318:         NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
319:         DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
320:         THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
321:         (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
322:         THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
323:         */
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