From 13c1c678a48a0089eec340e95cdad307dfb7e1e4 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 4 Mar 2024 02:36:39 +0000 Subject: [PATCH 01/17] Bump org.apache.maven.plugins:maven-surefire-plugin from 2.22.2 to 3.2.5 Bumps [org.apache.maven.plugins:maven-surefire-plugin](https://github.com/apache/maven-surefire) from 2.22.2 to 3.2.5. - [Release notes](https://github.com/apache/maven-surefire/releases) - [Commits](https://github.com/apache/maven-surefire/compare/surefire-2.22.2...surefire-3.2.5) --- updated-dependencies: - dependency-name: org.apache.maven.plugins:maven-surefire-plugin dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- pom.xml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pom.xml b/pom.xml index b0a6cd838..27ddda820 100644 --- a/pom.xml +++ b/pom.xml @@ -24,7 +24,7 @@ maven-surefire-plugin - 2.22.2 + 3.2.5 org.codehaus.mojo From 00c60f58ecaa43adbf097f5d35d74c2e7f085895 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Tue, 9 Apr 2024 18:06:52 +0200 Subject: [PATCH 02/17] Add unit test for reasoner video. --- .../api/GeneralizeIfNecessaryTest.java | 158 ++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100644 smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java new file mode 100644 index 000000000..d6c8c2fdf --- /dev/null +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java @@ -0,0 +1,158 @@ +package eu.knowledge.engine.smartconnector.api; + +import static org.junit.jupiter.api.Assertions.assertTrue; + +import java.util.Arrays; +import java.util.HashSet; +import java.util.Iterator; +import java.util.concurrent.CountDownLatch; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.TimeUnit; + +import org.apache.jena.shared.PrefixMapping; +import org.apache.jena.sparql.graph.PrefixMappingMem; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import eu.knowledge.engine.reasoner.Rule; +import eu.knowledge.engine.reasoner.api.TriplePattern; +import eu.knowledge.engine.smartconnector.util.KnowledgeNetwork; +import eu.knowledge.engine.smartconnector.util.MockedKnowledgeBase; + +/** + * This test tries to illustrate forward compatibility. We instantiate an + * App KB and a Lamp1 KB that exchange data about the on/off state of the lamp. + * When a new Lamp2 KB is introduced that does not support on/off because it is + * dimmable, we should how the reasoner+domain knowledge combination is able to + * make the app work with the new dimmable type of lamp although it was not + * designed to work with those types. + * + * @author nouwtb + * + */ +public class GeneralizeIfNecessaryTest { + + private static final Logger LOG = LoggerFactory.getLogger(GeneralizeIfNecessaryTest.class); + + private static KnowledgeNetwork kn = new KnowledgeNetwork(); + private MockedKnowledgeBase appKb = new MockedKnowledgeBase("AppKB"); + private MockedKnowledgeBase sensor1Kb = new MockedKnowledgeBase("Sensor1KB"); + private MockedKnowledgeBase sensor2Kb = new MockedKnowledgeBase("Sensor2KB"); + private MockedKnowledgeBase floorplanKb = new MockedKnowledgeBase("FloorplanKB"); + private PrefixMapping prefixes = new PrefixMappingMem().setNsPrefix("ex", "http://example.org/").setNsPrefix("rdf", + "http://www.w3.org/1999/02/22-rdf-syntax-ns#"); + + @Test + public void test() throws InterruptedException, ExecutionException { + + kn.addKB(appKb); + this.appKb.setReasonerEnabled(true); + kn.addKB(sensor1Kb); + kn.addKB(sensor2Kb); + kn.addKB(floorplanKb); + + AskKnowledgeInteraction appKbAsk = configureAppKb(); + configureSensor1Kb(); + configureSensor2Kb(); + configureFloorplanKb(); + + kn.sync(); + + BindingSet argument = new BindingSet(); + Binding binding = new Binding(); + argument.add(binding); + AskPlan pp = appKb.planAsk(appKbAsk, new RecipientSelector()); + + pp.getReasonerPlan().getStore().printGraphVizCode(pp.getReasonerPlan()); + AskResult result = pp.execute(argument).get(); + + LOG.info("Result bindings: {}", result.getBindings()); + + } + + private AskKnowledgeInteraction configureAppKb() { + GraphPattern appGP = new GraphPattern(prefixes, + "?s rdf:type ex:Sensor . ?s ex:isPartOf ex:building1 . ?s ex:hasLatestValue ?value ."); + AskKnowledgeInteraction appKbAsk = new AskKnowledgeInteraction(new CommunicativeAct(), appGP); + appKb.register(appKbAsk); + + HashSet rule1ant = new HashSet<>( + Arrays.asList(new TriplePattern("?x ?y"), + new TriplePattern("?y ?z"))); + HashSet rule1con = new HashSet<>( + Arrays.asList(new TriplePattern("?x ?z"))); + + Rule rule1 = new Rule(rule1ant, rule1con); + appKb.setDomainKnowledge(new HashSet<>(Arrays.asList(rule1))); + + return appKbAsk; + } + + private void configureSensor1Kb() { + GraphPattern sensor1GP = new GraphPattern(prefixes, + "ex:sensor1 rdf:type ex:Sensor . ex:sensor1 ex:isPartOf ex:room1 . ex:sensor1 ex:hasLatestValue ?value ."); + + AnswerKnowledgeInteraction sensor1KbAnswer = new AnswerKnowledgeInteraction(new CommunicativeAct(), sensor1GP); + sensor1Kb.register(sensor1KbAnswer, (AnswerHandler) (aKI, aAnswerInfo) -> { + BindingSet bs = new BindingSet(); + Binding b = new Binding(); + b.put("value", "10"); + bs.add(b); + return bs; + }); + } + + private void configureSensor2Kb() { + GraphPattern sensor1GP = new GraphPattern(prefixes, + "ex:sensor2 rdf:type ex:Sensor . ex:sensor2 ex:isPartOf ex:room2 . ex:sensor2 ex:hasLatestValue ?value ."); + + AnswerKnowledgeInteraction sensor1KbAnswer = new AnswerKnowledgeInteraction(new CommunicativeAct(), sensor1GP); + sensor2Kb.register(sensor1KbAnswer, (AnswerHandler) (aKI, aAnswerInfo) -> { + BindingSet bs = new BindingSet(); + Binding b = new Binding(); + b.put("value", "20"); + bs.add(b); + return bs; + }); + } + + private void configureFloorplanKb() { + GraphPattern floorplanGP = new GraphPattern(prefixes, "?x ex:isPartOf ?y ."); + + AnswerKnowledgeInteraction floorplanKbAnswer = new AnswerKnowledgeInteraction(new CommunicativeAct(), + floorplanGP); + floorplanKb.register(floorplanKbAnswer, (AnswerHandler) (aKI, aAnswerInfo) -> { + BindingSet bs = new BindingSet(); + + Binding b = new Binding(); + b.put("x", ""); + b.put("y", ""); + bs.add(b); + + b = new Binding(); + b.put("x", ""); + b.put("y", ""); + bs.add(b); + + b = new Binding(); + b.put("x", ""); + b.put("y", ""); + bs.add(b); + + return bs; + }); + } + + @AfterAll + public static void close() { + LOG.info("Clean up: {}", GeneralizeIfNecessaryTest.class.getSimpleName()); + try { + kn.stop().get(); + } catch (InterruptedException | ExecutionException e) { + LOG.error("Stopping the Knowledge Network should succeed: {}", e); + } + } + +} From 2a99f61555576bf5ab0062cc828e9cf334745f80 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 15 Apr 2024 02:50:06 +0000 Subject: [PATCH 03/17] Bump org.slf4j:slf4j-simple from 1.7.25 to 2.0.13 Bumps org.slf4j:slf4j-simple from 1.7.25 to 2.0.13. --- updated-dependencies: - dependency-name: org.slf4j:slf4j-simple dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] --- admin-ui/pom.xml | 2 +- examples/java-api/pom.xml | 2 +- knowledge-directory/pom.xml | 2 +- reasoner/pom.xml | 2 +- smart-connector-api/pom.xml | 2 +- smart-connector-rest-server/pom.xml | 2 +- smart-connector/pom.xml | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/admin-ui/pom.xml b/admin-ui/pom.xml index 97acc28d3..c94b650f7 100644 --- a/admin-ui/pom.xml +++ b/admin-ui/pom.xml @@ -52,7 +52,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 diff --git a/examples/java-api/pom.xml b/examples/java-api/pom.xml index db27d9ec2..ca676a39b 100644 --- a/examples/java-api/pom.xml +++ b/examples/java-api/pom.xml @@ -43,7 +43,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 diff --git a/knowledge-directory/pom.xml b/knowledge-directory/pom.xml index 350e4696c..2e4fd059b 100644 --- a/knowledge-directory/pom.xml +++ b/knowledge-directory/pom.xml @@ -130,7 +130,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 diff --git a/reasoner/pom.xml b/reasoner/pom.xml index 6bb872642..38812fd50 100644 --- a/reasoner/pom.xml +++ b/reasoner/pom.xml @@ -39,7 +39,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 diff --git a/smart-connector-api/pom.xml b/smart-connector-api/pom.xml index e297ec343..545faa384 100644 --- a/smart-connector-api/pom.xml +++ b/smart-connector-api/pom.xml @@ -15,7 +15,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 eu.knowledge.engine diff --git a/smart-connector-rest-server/pom.xml b/smart-connector-rest-server/pom.xml index 749484ebf..6e078e113 100644 --- a/smart-connector-rest-server/pom.xml +++ b/smart-connector-rest-server/pom.xml @@ -41,7 +41,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 diff --git a/smart-connector/pom.xml b/smart-connector/pom.xml index f42080d1c..33b3b2a19 100644 --- a/smart-connector/pom.xml +++ b/smart-connector/pom.xml @@ -25,7 +25,7 @@ org.slf4j slf4j-simple - 1.7.25 + 2.0.13 From ec0e904af8aeeb228783e5a87e70e71f9836b4cb Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Tue, 28 May 2024 09:59:09 +0200 Subject: [PATCH 04/17] Trying to reproduce the behavior described in this issue. Not successful yet. --- .../engine/smartconnector/api/TestAskAnswer4.java | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestAskAnswer4.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestAskAnswer4.java index a0f530b4c..36cdd3ca6 100644 --- a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestAskAnswer4.java +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestAskAnswer4.java @@ -47,7 +47,7 @@ public void testAskAnswer() throws InterruptedException { kb1.setReasonerEnabled(true); kn.addKB(kb2); - GraphPattern gp1 = new GraphPattern(prefixes, "?a \"test\"."); + GraphPattern gp1 = new GraphPattern(prefixes, "?a ?c ."); AnswerKnowledgeInteraction aKI = new AnswerKnowledgeInteraction(new CommunicativeAct(), gp1); kb1.register(aKI, (AnswerHandler) (anAKI, anAnswerExchangeInfo) -> { assertTrue( @@ -58,7 +58,7 @@ public void testAskAnswer() throws InterruptedException { BindingSet bindingSet = new BindingSet(); Binding binding = new Binding(); binding.put("a", ""); - binding.put("c", ""); + binding.put("c", "\"true\"^^"); bindingSet.add(binding); return bindingSet; @@ -76,6 +76,11 @@ public void testAskAnswer() throws InterruptedException { LOG.trace("Before ask."); AskResult result = kb2.ask(askKI, new BindingSet()).get(); bindings = result.getBindings(); + + System.out.println("Bindings: " + bindings); + System.out + .println("Bindings2: " + result.getExchangeInfoPerKnowledgeBase().iterator().next().getBindings()); + LOG.trace("After ask."); } catch (InterruptedException | ExecutionException e) { fail(); From 1fae3ed2d07bcabfafd8c781ad7aea3fd34e9768 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Wed, 29 May 2024 20:36:17 +0200 Subject: [PATCH 05/17] Fix applying a rule multiple times. Although the binding set did not change, the rule was triggered to be applied again. --- .../eu/knowledge/engine/reasoner/BaseRule.java | 4 ++++ .../knowledge/engine/reasoner/ReasonerPlan.java | 15 +++++++++++---- .../engine/reasoner/rulenode/RuleNode.java | 4 ++-- 3 files changed, 17 insertions(+), 6 deletions(-) diff --git a/reasoner/src/main/java/eu/knowledge/engine/reasoner/BaseRule.java b/reasoner/src/main/java/eu/knowledge/engine/reasoner/BaseRule.java index 0655be694..a5ff2c741 100644 --- a/reasoner/src/main/java/eu/knowledge/engine/reasoner/BaseRule.java +++ b/reasoner/src/main/java/eu/knowledge/engine/reasoner/BaseRule.java @@ -392,6 +392,10 @@ protected void setName(String aName) { this.name = aName; } + protected String getName() { + return name; + } + @Override public int hashCode() { final int prime = 31; diff --git a/reasoner/src/main/java/eu/knowledge/engine/reasoner/ReasonerPlan.java b/reasoner/src/main/java/eu/knowledge/engine/reasoner/ReasonerPlan.java index d35e86790..9dc0c726d 100644 --- a/reasoner/src/main/java/eu/knowledge/engine/reasoner/ReasonerPlan.java +++ b/reasoner/src/main/java/eu/knowledge/engine/reasoner/ReasonerPlan.java @@ -120,9 +120,9 @@ public TaskBoard execute(BindingSet bindingSet) { // Ready, and current version of input has not been scheduled on taskboard? -> // Add to taskboard otherwise -> Do not add to taskboard - if (current.readyForApplyRule() && !current.isResultBindingSetInputScheduled()) { + if (current.readyForApplyRule() && !current.isResultBindingSetInputAlreadyScheduledOrDone()) { this.scheduleOrDoTask(current, taskBoard); - current.setResultBindingSetInputScheduled(true); + current.setResultBindingSetInputAlreadyScheduledOrDone(true); } if (current.shouldPropagateFilterBindingSetOutput()) { @@ -145,10 +145,18 @@ public TaskBoard execute(BindingSet bindingSet) { ((ConsSide) current).getConsequentNeighbours().forEach((n, matches) -> { var translated = toBeResultPropagated.translate(n.getRule().getAntecedent(), Match.invertAll(matches)); + + TripleVarBindingSet beforeBindingSet = n.getResultBindingSetInput(); boolean itChanged = ((AntSide) n).addResultBindingSetInput(current, translated); + TripleVarBindingSet afterBindingSet = n.getResultBindingSetInput(); if (itChanged) { changed.add(n); - n.setResultBindingSetInputScheduled(false); + + // We should only set this to false if the actual binding set of the + // BindngSetStore.get() method changes. Otherwise rules get applied multiple + // times with the same binding set. + if (!beforeBindingSet.equals(afterBindingSet)) + n.setResultBindingSetInputAlreadyScheduledOrDone(false); } }); current.setResultBindingSetOutputPropagated(); @@ -287,7 +295,6 @@ private RuleNode createOrGetReasonerNode(BaseRule aRule, BaseRule aParent) { private void scheduleOrDoTask(RuleNode current, TaskBoard taskBoard) { if (this.useTaskBoard) { taskBoard.addTask(current); - current.setResultBindingSetInputScheduled(true); } else { try { current.applyRule().get(); diff --git a/reasoner/src/main/java/eu/knowledge/engine/reasoner/rulenode/RuleNode.java b/reasoner/src/main/java/eu/knowledge/engine/reasoner/rulenode/RuleNode.java index cbf6297e9..6fad20586 100644 --- a/reasoner/src/main/java/eu/knowledge/engine/reasoner/rulenode/RuleNode.java +++ b/reasoner/src/main/java/eu/knowledge/engine/reasoner/rulenode/RuleNode.java @@ -52,11 +52,11 @@ public BaseRule getRule() { public abstract Set getAllSameLoopNeighbors(); - public void setResultBindingSetInputScheduled(boolean b) { + public void setResultBindingSetInputAlreadyScheduledOrDone(boolean b) { this.resultBindingSetOutputScheduled = b; } - public boolean isResultBindingSetInputScheduled() { + public boolean isResultBindingSetInputAlreadyScheduledOrDone() { return this.resultBindingSetOutputScheduled; } From 2911abb74d861b6813c8af240dadc9347ad60f7f Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Fri, 31 May 2024 15:18:25 +0200 Subject: [PATCH 06/17] Make sure typed literals are not converted into plain literals. Adding a SerializationContext to Apache's parse methods where the usePlainLiterals is set to false ensures this. --- .../impl/ReasonerProcessor.java | 17 +++-- .../impl/TestBindingSetConversions.java | 68 +++++++++++++++++++ 2 files changed, 80 insertions(+), 5 deletions(-) create mode 100644 smart-connector/src/test/java/eu/knowledge/engine/smartconnector/impl/TestBindingSetConversions.java diff --git a/smart-connector/src/main/java/eu/knowledge/engine/smartconnector/impl/ReasonerProcessor.java b/smart-connector/src/main/java/eu/knowledge/engine/smartconnector/impl/ReasonerProcessor.java index 7518d363e..973b7d40a 100644 --- a/smart-connector/src/main/java/eu/knowledge/engine/smartconnector/impl/ReasonerProcessor.java +++ b/smart-connector/src/main/java/eu/knowledge/engine/smartconnector/impl/ReasonerProcessor.java @@ -14,6 +14,7 @@ import org.apache.jena.sparql.core.TriplePath; import org.apache.jena.sparql.core.Var; import org.apache.jena.sparql.graph.PrefixMappingZero; +import org.apache.jena.sparql.serializer.SerializationContext; import org.apache.jena.sparql.syntax.ElementPathBlock; import org.apache.jena.sparql.util.FmtUtils; import org.slf4j.Logger; @@ -265,13 +266,17 @@ private void continueReasoningForward(eu.knowledge.engine.reasoner.api.BindingSe * @param bs a reasoner bindingset * @return a ke bindingset */ - private BindingSet translateBindingSetFrom(eu.knowledge.engine.reasoner.api.BindingSet bs) { + protected BindingSet translateBindingSetFrom(eu.knowledge.engine.reasoner.api.BindingSet bs) { BindingSet newBS = new BindingSet(); Binding newB; + + SerializationContext context = new SerializationContext(); + context.setUsePlainLiterals(false); + for (eu.knowledge.engine.reasoner.api.Binding b : bs) { newB = new Binding(); for (Map.Entry entry : b.entrySet()) { - newB.put(entry.getKey().getName(), FmtUtils.stringForNode(entry.getValue())); + newB.put(entry.getKey().getName(), FmtUtils.stringForNode(entry.getValue(), context)); } newBS.add(newB); } @@ -284,7 +289,7 @@ private BindingSet translateBindingSetFrom(eu.knowledge.engine.reasoner.api.Bind * @param bs a ke bindingset * @return a reasoner bindingset */ - private eu.knowledge.engine.reasoner.api.BindingSet translateBindingSetTo(BindingSet someBindings) { + protected eu.knowledge.engine.reasoner.api.BindingSet translateBindingSetTo(BindingSet someBindings) { eu.knowledge.engine.reasoner.api.BindingSet newBindingSet = new eu.knowledge.engine.reasoner.api.BindingSet(); eu.knowledge.engine.reasoner.api.Binding newBinding; @@ -432,7 +437,8 @@ public CompletableFuture handle( }); } catch (IOException e) { - LOG.warn("Errors like '{}' should not occur while sending: {}", e.getMessage(), askMessage.getMessageId()); + LOG.warn("Errors like '{}' should not occur while sending: {}", e.getMessage(), + askMessage.getMessageId()); LOG.debug("", e); bsFuture = new CompletableFuture(); bsFuture.complete(new eu.knowledge.engine.reasoner.api.BindingSet()); @@ -494,7 +500,8 @@ public CompletableFuture handle( }); } catch (IOException e) { - LOG.warn("Errors like '{}' should not occur while sending: {}", e.getMessage(), postMessage.getMessageId()); + LOG.warn("Errors like '{}' should not occur while sending: {}", e.getMessage(), + postMessage.getMessageId()); LOG.debug("", e); bsFuture = new CompletableFuture(); bsFuture.complete(new eu.knowledge.engine.reasoner.api.BindingSet()); diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/impl/TestBindingSetConversions.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/impl/TestBindingSetConversions.java new file mode 100644 index 000000000..fff0ba728 --- /dev/null +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/impl/TestBindingSetConversions.java @@ -0,0 +1,68 @@ +package eu.knowledge.engine.smartconnector.impl; + +import static org.junit.jupiter.api.Assertions.assertEquals; + +import java.util.HashSet; +import java.util.Set; + +import org.apache.jena.datatypes.xsd.XSDDatatype; +import org.apache.jena.graph.Node; +import org.apache.jena.graph.NodeFactory; +import org.apache.jena.graph.Node_Concrete; +import org.apache.jena.sparql.core.Var; +import org.junit.jupiter.api.Test; + +import eu.knowledge.engine.reasoner.Rule; +import eu.knowledge.engine.smartconnector.api.Binding; +import eu.knowledge.engine.smartconnector.api.BindingSet; + +class TestBindingSetConversions { + + private OpenReasonerProcessor rp = new OpenReasonerProcessor(new HashSet<>(), null, new HashSet<>()); + + /** + * Test whether converting typed literals between reasoner and knowledge engine + * binding sets works correctly. + */ + @Test + void testTypedLiteral() { + + String varStringVersion = "a"; + Var varNodeVersion = Var.alloc(varStringVersion); + Node literalNodeVersion = NodeFactory.createLiteral("true", XSDDatatype.XSDboolean); + var literalStringVersion = "\"true\"^^"; + + BindingSet bs = new BindingSet(); + Binding b = new Binding(); + b.put(varStringVersion, literalStringVersion); + bs.add(b); + eu.knowledge.engine.reasoner.api.BindingSet reasonerBS = rp.testerTo(bs); + assertEquals(literalNodeVersion, reasonerBS.iterator().next().get(varStringVersion)); + + eu.knowledge.engine.reasoner.api.BindingSet bsR = new eu.knowledge.engine.reasoner.api.BindingSet(); + eu.knowledge.engine.reasoner.api.Binding bR = new eu.knowledge.engine.reasoner.api.Binding(); + bR.put(varNodeVersion, (Node_Concrete) literalNodeVersion); + bsR.add(bR); + BindingSet otherBS = rp.testerFrom(bsR); + assertEquals(literalStringVersion, otherBS.iterator().next().get(varStringVersion)); + } + + /** + * Make some binding set translation methods available. + */ + public static class OpenReasonerProcessor extends ReasonerProcessor { + public OpenReasonerProcessor(Set knowledgeInteractions, MessageRouter messageRouter, + Set someDomainKnowledge) { + super(knowledgeInteractions, messageRouter, someDomainKnowledge); + } + + public eu.knowledge.engine.reasoner.api.BindingSet testerTo(BindingSet bs) { + return this.translateBindingSetTo(bs); + } + + public BindingSet testerFrom(eu.knowledge.engine.reasoner.api.BindingSet bs) { + return this.translateBindingSetFrom(bs); + } + } + +} From c5efd1ca668e9447a61a4be82def0709c6c4d677 Mon Sep 17 00:00:00 2001 From: Sophie Lathouwers Date: Fri, 14 Jun 2024 14:37:04 +0200 Subject: [PATCH 07/17] Restructuring documentation to enable website generation (#509) * Add initial version of docs for website * Enabled plugin for (local) search functionality * Cleaned up settings & added Tabs & Syntax Highlighting for Code Blocks * Minor textual improvements & using Tabs for Reasoning page * Create Github Action for deployment of documentation website --- .github/workflows/docs-deployment.yml | 32 + README.md | 6 +- docs/.gitignore | 20 + docs/00_home.md | 14 - docs/05_glossary.md | 19 - docs/README.md | 34 + docs/babel.config.js | 3 + .../conceptual_framework.md} | 53 +- .../distributed_mode.md} | 10 +- docs/{06_faq.md => docs/faq.md} | 52 +- docs/docs/get-started/_category_.json | 8 + .../get-started/knowledge-interactions.md | 70 + docs/docs/get-started/smart-connector.md | 39 + docs/docs/glossary.md | 59 + docs/docs/intro.md | 22 + .../java_developer_api.md} | 22 +- docs/docs/quickstart.md | 33 + docs/{02_reasoning.md => docs/reasoning.md} | 100 +- docs/docs/security.md | 21 + docs/docusaurus.config.js | 94 + docs/package-lock.json | 14995 ++++++++++++++++ docs/package.json | 45 + docs/sidebars.js | 33 + docs/src/css/custom.css | 30 + .../{ => static}/img/asserted-vs-inferred.png | Bin docs/{ => static}/img/distributed-mode.png | Bin docs/{ => static}/img/exchanging.png | Bin docs/static/img/favicon-16x16.png | Bin 0 -> 1251 bytes docs/static/img/favicon-32x32.png | Bin 0 -> 1959 bytes docs/static/img/favicon-96x96.png | Bin 0 -> 4235 bytes docs/static/img/favicon.ico | Bin 0 -> 1150 bytes docs/static/img/ke_text.svg | 173 + .../img/ke_text_white_backdrop.png | Bin docs/{ => static}/img/silos.png | Bin .../img/temperature-measurement-example.png | Bin .../static/img/undraw_docusaurus_mountain.svg | 171 + docs/static/img/undraw_docusaurus_react.svg | 170 + docs/static/img/undraw_docusaurus_tree.svg | 40 + 38 files changed, 16215 insertions(+), 153 deletions(-) create mode 100644 .github/workflows/docs-deployment.yml create mode 100644 docs/.gitignore delete mode 100644 docs/00_home.md delete mode 100644 docs/05_glossary.md create mode 100644 docs/README.md create mode 100644 docs/babel.config.js rename docs/{01_concept.md => docs/conceptual_framework.md} (72%) rename docs/{04_distributed_mode.md => docs/distributed_mode.md} (88%) rename docs/{06_faq.md => docs/faq.md} (95%) create mode 100644 docs/docs/get-started/_category_.json create mode 100644 docs/docs/get-started/knowledge-interactions.md create mode 100644 docs/docs/get-started/smart-connector.md create mode 100644 docs/docs/glossary.md create mode 100644 docs/docs/intro.md rename docs/{03_java_developer_api.md => docs/java_developer_api.md} (95%) create mode 100644 docs/docs/quickstart.md rename docs/{02_reasoning.md => docs/reasoning.md} (84%) create mode 100644 docs/docs/security.md create mode 100644 docs/docusaurus.config.js create mode 100644 docs/package-lock.json create mode 100644 docs/package.json create mode 100644 docs/sidebars.js create mode 100644 docs/src/css/custom.css rename docs/{ => static}/img/asserted-vs-inferred.png (100%) rename docs/{ => static}/img/distributed-mode.png (100%) rename docs/{ => static}/img/exchanging.png (100%) mode change 100755 => 100644 create mode 100644 docs/static/img/favicon-16x16.png create mode 100644 docs/static/img/favicon-32x32.png create mode 100644 docs/static/img/favicon-96x96.png create mode 100644 docs/static/img/favicon.ico create mode 100644 docs/static/img/ke_text.svg rename docs/{ => static}/img/ke_text_white_backdrop.png (100%) rename docs/{ => static}/img/silos.png (100%) mode change 100755 => 100644 rename docs/{ => static}/img/temperature-measurement-example.png (100%) create mode 100644 docs/static/img/undraw_docusaurus_mountain.svg create mode 100644 docs/static/img/undraw_docusaurus_react.svg create mode 100644 docs/static/img/undraw_docusaurus_tree.svg diff --git a/.github/workflows/docs-deployment.yml b/.github/workflows/docs-deployment.yml new file mode 100644 index 000000000..6708c2f8b --- /dev/null +++ b/.github/workflows/docs-deployment.yml @@ -0,0 +1,32 @@ +name: Deploy documentation website +on: + push: + branches: + - master + paths: + - docs/** + +jobs: + deploy: + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v3 + - name: Install Node.js + uses: actions/setup-node@master + - name: Install dependencies + working-directory: ./docs + run: npm install + - name: Build documentation website + working-directory: ./docs + run: npm run build + - name: Install SSH Key + uses: shimataro/ssh-key-action@v2 + with: + key: ${{ secrets.SSH_PRIVATE_KEY }} + known_hosts: 'placeholder' + - name: Add known hosts + run: ssh-keyscan -H ${{ secrets.SSH_HOST }} >> ~/.ssh/known_hosts + - name: Deploy to server + working-directory: ./docs + run: scp -r build/* ${{ secrets.SSH_USER }}@${{ secrets.SSH_HOST }}:${{ secrets.SSH_DOCS_PATH }} diff --git a/README.md b/README.md index 1bfc5119e..03e6f1e84 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ [![DOI](https://zenodo.org/badge/502097185.svg)](https://zenodo.org/badge/latestdoi/502097185) -[![Knowledge Engine logo](./docs/img/ke_text_white_backdrop.png)](https://www.knowledge-engine.eu/) +[![Knowledge Engine logo](docs/static/img/ke_text_white_backdrop.png)](https://www.knowledge-engine.eu/) Welcome to the source code repository of the Knowledge Engine. This README should help you understand what the Knowledge Engine is, and how to use it. @@ -181,7 +181,7 @@ This section gives more detailed information about the project's structure, and The Knowledge Engine project consists of the following Maven modules: - `smart-connector` - - This is the implementation of the smart connector, with the Java developer API. For instructions on how to use it, refer to [the documentation](./docs/03_java_developer_api.md). + - This is the implementation of the smart connector, with the Java developer API. For instructions on how to use it, refer to [the documentation](./docs/docs/java_developer_api.md). - `smart-connector-api` - This module contains interfaces for the smart connector and other classes. It is made as a separate module so that it is easy to use different implementations of the interfaces. - `smart-connector-rest-server` @@ -256,7 +256,7 @@ nohup java -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.e ``` ### Starting the Knowledge Engine in distributed mode -The Knowledge Engine can also start in distributed mode, where it connects with a remote knowledge directory and where different instances of the Knowledge Engine (each instance hosting one or more smart connectors) can communicate with each other. More information about starting the Knowledge Engine in distributed mode can be found in the [documentation](docs/04_distributed_mode.md). +The Knowledge Engine can also start in distributed mode, where it connects with a remote knowledge directory and where different instances of the Knowledge Engine (each instance hosting one or more smart connectors) can communicate with each other. More information about starting the Knowledge Engine in distributed mode can be found in the [documentation](docs/docs/distributed_mode.md). ### Additional configuration environment variables diff --git a/docs/.gitignore b/docs/.gitignore new file mode 100644 index 000000000..b2d6de306 --- /dev/null +++ b/docs/.gitignore @@ -0,0 +1,20 @@ +# Dependencies +/node_modules + +# Production +/build + +# Generated files +.docusaurus +.cache-loader + +# Misc +.DS_Store +.env.local +.env.development.local +.env.test.local +.env.production.local + +npm-debug.log* +yarn-debug.log* +yarn-error.log* diff --git a/docs/00_home.md b/docs/00_home.md deleted file mode 100644 index c5e321cb4..000000000 --- a/docs/00_home.md +++ /dev/null @@ -1,14 +0,0 @@ -# Knowledge Engine Documentation - -Welcome to the documentation of the Knowledge Engine. The Knowledge Engine allows separate devices, applications and services to exchange information in an interoperable way. Interoperability is important because it improves the flexibility of the ecosystem as a whole. In an environment (like a Smart Home), where many of the parts of the ecosystem are typically developed and maintained by different (competitive) vendors, interoperability allows these different parts to understand each other. Also, when parts are replaced by similar ones from a different vendor, we want the system to be able to keep working. The flexibility that interoperability provides also aids the discovery and development of innovative ways for combining the knowledge that is already available in the ecosystem. - -The Knowledge Engine provides this interoperability by using an ontology that describes the standardized terminology about the domain of the ecosystem. A deductive reasoner uses this ontology to match the demand an supply of knowledge within the ecosystem. - - -- Section 1: [Conceptual framework](01_concept.md) -- Section 2: [How is reasoning used?](02_reasoning.md) -- Section 3: [Java developer API](03_java_developer_api.md) -- Section 4: [Distributed mode](04_distributed_mode.md) - -- [Glossary](05_glossary.md) -- [FAQ](06_faq.md) diff --git a/docs/05_glossary.md b/docs/05_glossary.md deleted file mode 100644 index f2c2532fa..000000000 --- a/docs/05_glossary.md +++ /dev/null @@ -1,19 +0,0 @@ -# Glossary -This section explains the important concepts in the knowledge engine. -It is intended to be useful for people who are familiar with the [conceptual framework](01_concept.md) but forgot about one of the terms. -The names of the concepts link to the detailed concept explanations in the [conceptual framework](01_concept.md). - -## [ Knowledge Base](01_concept.md#knowledge-base) -An independent producer or consumer of information. - -## [ Smart Connector](01_concept.md#smart-connector) -An entity (currently in the form of a Java object) that enables a knowledge base to connect to the [knowledge network](01_concept.md#knowledge-network) and exchange knowledge. - -## [ Knowledge Network](01_concept.md#knowledge-network) -A set of [knowledge bases](01_concept.md#knowledge-base) that securely exchange knowledge about a clearly defined domain. - -## [ Knowledge Interaction](01_concept.md#knowledge-interaction) -A specification of knowledge that a [knowledge base](01_concept.md#knowledge-base) processes. - -## [ Knowledge Directory](01_concept.md#knowledge-directory) -A registry that keeps track of all [knowledge bases](01_concept.md#knowledge-base) (as represented by [smart connectors](01_concept.md#smart-connector)), and specifically their knowledge needs and desires. diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 000000000..490e94b34 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,34 @@ +# Documentation + +This directory contains the documentation for the Knowledge Engine as well as the required settings that are used to generate the documentation website. +The documentation can be found in the `docs/` directory. + + +## Generating the website + +Required: +- [Node.js](https://nodejs.org/en/download/) version 18.0 or above: + - When installing Node.js, you are recommended to check all checkboxes related to dependencies. + +### Generate website files +To statically generate the website, within this directory (`knowledge-engine/docs/`), run: +```bash +npm run build +``` +This will generate a `build/` directory containing all files for the website. + +Be careful when editing code blocks with tabs. +Currently, it requires you to leave empty lines around the Markdown syntax + + + +### Test the site locally + +If you're working on the documentation, you can locally run a serve so you can easily see what your changes look like. +To run the development server, within this directory (`knowledge-engine/docs/`), execute: +```bash +npm run start +``` + +The `npm run start` command builds your website locally and serves it through a development server, ready for you to view at http://localhost:3000/. +The site will **automatically reload** and display your changes. \ No newline at end of file diff --git a/docs/babel.config.js b/docs/babel.config.js new file mode 100644 index 000000000..e00595dae --- /dev/null +++ b/docs/babel.config.js @@ -0,0 +1,3 @@ +module.exports = { + presets: [require.resolve('@docusaurus/core/lib/babel/preset')], +}; diff --git a/docs/01_concept.md b/docs/docs/conceptual_framework.md similarity index 72% rename from docs/01_concept.md rename to docs/docs/conceptual_framework.md index 032efd73f..58aec9f48 100644 --- a/docs/01_concept.md +++ b/docs/docs/conceptual_framework.md @@ -1,3 +1,7 @@ +--- + sidebar_position: 2 +--- + # Conceptual Framework This section explains the ideas behind the Knowledge Engine. @@ -18,7 +22,7 @@ However, much power lies in *combining* several of these knowledge bases (explai An important assumption that we make is that a knowledge base can be sufficiently described in terms of the knowledge that it processes. This means that we can describe what kind of knowledge can be extracted from this base and what kind of knowledge this base is interested in, and that we capture this well enough to provide synergy to the network. -In other words, we assume that we can make a description of the knowledge base that captures its knowledge input and output ([knowledge Interaction](#knowledge-interaction)): What knowledge does it provide? What knowledge does it require? +In other words, we assume that we can make a description of the knowledge base that captures its knowledge input and output ([Knowledge Interaction](#knowledge-interaction)): What knowledge does it provide? What knowledge does it require? Furthermore, we assume that we capture the knowledge interactions of a knowledge base well enough that it can be exploited or satisfied by *other* knowledge bases. It is important to note that knowledge bases aren't limited to being *just* producers or consumers of information; they could trigger **side effects**, and thus play a role in control systems such as heating systems or artificial cardiac pacemakers. @@ -48,11 +52,11 @@ To their surprise, it is now necessary to install another app! In the example above, there were three physical devices: The phone and the two light bulbs. However, the phone contained two 'knowledge bases' and the knowledge for both light bulb systems was completely siloed: -![two apps talking a different protocol to different lamps](./img/silos.png) +![two apps talking a different protocol to different lamps](../static/img/silos.png) It would be convenient if the silos exchanged information, or better, if there was a single generic app that can communicate with both bulbs: -![one app that can talk to both light bulbs, using the other app as an intermediary](./img/exchanging.png) +![one app that can talk to both light bulbs, using the other app as an intermediary](../static/img/exchanging.png) Because of these obvious advantages, combining knowledge bases like this is becoming increasingly common. Currently, these combinations are often hand-made, and it would be convenient to make this easier. @@ -68,7 +72,7 @@ This is solved by smart connectors. A smart connector is an entity (currently in the form of a Java object) that allows a knowledge base to register with the knowledge network, and exchange knowledge with it. It represents the knowledge base within the knowledge network, and acts on its behalf. -In the registration phase, the knowledge base has to specify how it wants to exchange what knowledge (the [knowledge Interaction](#knowledge-interaction)): +In the registration phase, the knowledge base has to specify how it wants to exchange what knowledge (the [Knowledge Interaction](#knowledge-interaction)): - What knowledge can be requested from me? - What knowledge will I publish to the network? @@ -85,11 +89,11 @@ In the exchange phase, knowledge is consumed, produced, or published by the know A requirement for being able to use smart connectors in a domain is that all knowledge bases need to agree on a common language to exchange their knowledge in. This language is different for every domain. (In the thermostat example above, this language should include concepts like measurements, temperature, and preferences.) -In the knowledge engine, this language can be expressed in the form of an ontology or knowledge model, which is explained further in [a following section](#knowledge-model). +In the Knowledge Engine, this language can be expressed in the form of an ontology or knowledge model, which is explained further in [a following section](#knowledge-model). The domain's knowledge model is written in RDF/OWL, which allows us to take advantage of the reasoning capabilities that are available for these models. -Since the knowledge engine internally knows about the supply and demand of knowledge in the network, it can use reasoning to orchestrate of knowledge supply on-demand. +Since the Knowledge Engine internally knows about the supply and demand of knowledge in the network, it can use reasoning to orchestrate of knowledge supply on-demand. Critically, this means that, given a specification of knowledge that is requested, a smart connector **can figure out for you where to get it**! The developer of a knowledge base doesn't have to know or care about the specifics of all other knowledge bases. @@ -101,11 +105,11 @@ The main advantages of using smart connectors are: - Changes in the knowledge network are handled seamlessly by synchronizing information about knowledge interactions. - Established open-source Semantic Web technologies are leveraged to provide knowledge models and reasoning capabilities. -## Dynamic knowledge network +## Dynamic Knowledge Network As long as the smart connectors are aware of changes in the network, new knowledge bases can be dynamically added to the network. -Information about the [knowledge Interactions](#knowledge-interaction) of smart connectors is synchronized by using a [*knowledge directory*](#knowledge-directory), explained [further on](#knowledge-directory). +Information about the [Knowledge Interactions](#knowledge-interaction) of smart connectors is synchronized by using a [*Knowledge Directory*](#knowledge-directory), explained [further on](#knowledge-directory). For example, we could add a smart curtain to the hypothetical home automation knowledge network that automatically closes the curtains when the lights in the same room are turned on after sunset. @@ -167,35 +171,8 @@ The simple temperature sensor in the example is unable to store much data, so it Since all smart connectors need to know about each other to exchange knowledge, they need a way to know of each other. The current solution implements this with a centralized knowledge directory. The knowledge directory is aware of all KE runtimes. The KE runtimes communicate with each other to receive information about all smart connectors within a particular KE runtime. -The Knowledge Engine runtimes can be started in distributive mode and non-distributive mode. In distributive mode, the KE runtime connects with a Knowledge Directory to discover other KE runtimes. In this mode, data exchange happens between smart connectors that live in any KE runtime that is registered with a particular Knowledge Directory. This is the preferred mode of the Knowledge Engine which is more decentralized because every actor hosts its own smart connector. More information about distributed mode can be found in the chapter on the [Distributed mode](04_distributed_mode.md). - -The knowledge engine can also be started in non-distributive mode in which it does not connect to a Knowledge Directory and also does not cooperate with other KE runtimes. In this mode, data exchange only happens between smart connectors that live in this single KE runtime. This mode is useful for getting started with the Knowledge Engine and for development and testing purposes. - -*Note: Developers using smart connectors do not need to know about the knowledge directory since the communication and synchronization is handled by the smart connectors internally.* - -## Rules - - - -An if-then statement that tells the reasoner how to derive inferred facts from asserted facts. There are many forms of reasoning, but backward reasoning and forward reasoning are the typical ones. Backward reasoning means reasoning to prove a certain statement (i.e. question). This is also called goal-based reasoning, because you reason towards a particular goal (or actually, from a goal backwards to the actual data). Forward reasoning is also called data-driven reasoning, because it starts from the data and tries to infer all possible facts from this data using the available rules. - -## Security - -*__General direction Knowledge Engine security__* - -Within the KE we distinguish between several parts of the security question and explain below how we expect to deal with those: - -1) **connection between Knowledge Base (KB) and Smart Connector (SC)**: When using _Java_ Developer API this is secure by default, however, when using the REST Developer API we need to be more careful. The Generic Adapter and Service Store already provide some solution for this. -2) **connection between SC and SC** (when in different Java Virtual Machines): By using a configurable Exposed URL (see [issue](https://gitlab.inesctec.pt/interconnect/knowledge-engine/-/issues/281)) the KE remains flexible with respect to the setup it is used in. This Exposed URL can point directly to the SC or to a proxy that is configured for HTTPS with certificates. -3) **connection between SC and Knowledge Directory (KD)**: The Knowledge Directory itself exposes a REST API that we recommend to be put behind a HTTPS proxy. SCs have a configuration option to point to the URL of the Knowledge Directory. This can be both HTTP and HTTPS. -4) **identification/authentication**: Still unclear, but we are thinking about *not* introducing the concept of a user within the KE. The reason is that the only way other KBs can really trust a user, is by having a centralized Identity Provider that all KBs can access which constrasts the distributed nature of the KE. But again, not sure about whether we can maintain this position. Sharing login credentials and JWT tokens through the KE by including them in the domain knowledge is of course possible and this indeed requires the ontologies to contain classes and properties related to login and token information. -5) **authorization**: In the future we want to support roles and access control policies that are agreed upon by all KBs and it should make up the domain knowledge together with the ontology. We will definitely work on this in the future, but probably not in the scope of InterConnect. - - -*__Sharing credentials__* - -As I mentioned in my previous comment there is no _right_ way to deal with sharing credentials. More discussion and experience is definitely necessary to find the sweet spot for security related issues like these. In your use cases, the easiest and safest way is probably to share the credentials outside of the Knowledge Engine and just use some token (or home id) in the graph pattern, but it might be interesting to see how actually sending the credentials through the KE works out using a login graph pattern. Keep in mind, though, that the KE does not encrypt anything by itself and that the credentials might be visible to others. +The Knowledge Engine runtimes can be started in distributive mode and non-distributive mode. In distributive mode, the KE runtime connects with a Knowledge Directory to discover other KE runtimes. In this mode, data exchange happens between smart connectors that live in any KE runtime that is registered with a particular Knowledge Directory. This is the preferred mode of the Knowledge Engine which is more decentralized because every actor hosts its own smart connector. -## Mathematical framework +The Knowledge Engine can also be started in non-distributive mode in which it does not connect to a Knowledge Directory and also does not cooperate with other KE runtimes. In this mode, data exchange only happens between smart connectors that live in this single KE runtime. This mode is useful for getting started with the Knowledge Engine and for development and testing purposes. -The aim is to make a mathematical description of this framework, but for that we first need to stabilize our vision. +*Note: Developers using smart connectors do not need to know about the Knowledge Directory since the communication and synchronization is handled by the Smart Connectors internally.* diff --git a/docs/04_distributed_mode.md b/docs/docs/distributed_mode.md similarity index 88% rename from docs/04_distributed_mode.md rename to docs/docs/distributed_mode.md index af43d8eed..de0b2009b 100644 --- a/docs/04_distributed_mode.md +++ b/docs/docs/distributed_mode.md @@ -1,3 +1,7 @@ +--- + sidebar_position: 9 +--- + Distributed mode ================ @@ -5,11 +9,11 @@ This section contains information about running the knowledge engine in distribu Figure 1 below illustrates an example of a distributed knowledge network consisting of multiple KE runtimes and a single KD. The KE runtimes register to the KD and regularly query it to discover updates to the KE runtimes. The KE runtimes communicate peer-2-peer with each other to discover new smart connectors (SCs) and to exchange actual data (requests) using the Inter-KER protocol. -![alt text](./img/distributed-mode.png)*Figure 1: different KE runtimes with one or more smart connectors \(SCs\) connected to a centralized KD.* +![Different KE runtimes with one or more smart connectors which are connected to a centralised Knowledge Directory](./../static/img/distributed-mode.png)*Figure 1: different KE runtimes with one or more smart connectors \(SCs\) connected to a centralized KD.* ### Starting the Knowledge Engine in distributed mode -A minimal example showing how to configure it in distributed mode can be found in [`./examples/multiple-runtimes/`](./examples/multiple-runtimes/). +A minimal example showing how to configure it in distributed mode can be found [here](https://github.com/TNO/knowledge-engine/tree/master/examples/multiple-runtimes). First of all, you need to start a knowledge directory. The desired port number for the knowledge directory can be configured using the command line argument (8080 in the example below). @@ -44,4 +48,4 @@ java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2. ### Using Basic Authentication to secure data exchange -The communication in Figure 1 can be secured using Basic Authentication and HTTPS. This requires the usage of reverse proxies (like [NGINX](https://www.nginx.com/)) in front of the KD and KE runtimes. In such scenario, this reverse proxy handles all HTTPS and Basis Authentication configuration and forwards traffic over HTTP and without basic authentication to the KD and KE Runtime. To facilitate this, the KE supports conveying user credentials (username and password) within both the KD_URL and KE_RUNTIME_EXPOSED_URL environment variables like this `https://username:password@www.example.org/keruntime`. Whenever these URLs contains user credentials, the KER uses these credentials to connect to the Knowledge Directory or Knowledge Engine Runtime, respectively. An example of using Basic Authentication (without HTTPS) in distributed mode can be found in the [authentication example](../examples/authentication/). \ No newline at end of file +The communication in Figure 1 can be secured using Basic Authentication and HTTPS. This requires the usage of reverse proxies (like [NGINX](https://www.nginx.com/)) in front of the KD and KE runtimes. In such scenario, this reverse proxy handles all HTTPS and Basis Authentication configuration and forwards traffic over HTTP and without basic authentication to the KD and KE Runtime. To facilitate this, the KE supports conveying user credentials (username and password) within both the KD_URL and KE_RUNTIME_EXPOSED_URL environment variables like this `https://username:password@www.example.org/keruntime`. Whenever these URLs contains user credentials, the KER uses these credentials to connect to the Knowledge Directory or Knowledge Engine Runtime, respectively. An example of using Basic Authentication (without HTTPS) in distributed mode can be found in the [authentication example](https://github.com/TNO/knowledge-engine/tree/master/examples/authentication). \ No newline at end of file diff --git a/docs/06_faq.md b/docs/docs/faq.md similarity index 95% rename from docs/06_faq.md rename to docs/docs/faq.md index 72d698bca..f246320f0 100644 --- a/docs/06_faq.md +++ b/docs/docs/faq.md @@ -1,3 +1,8 @@ +--- + sidebar_position: 99 +--- + + FAQ === @@ -19,7 +24,7 @@ Currently, an instance of the Smart Connector is self contained, so no external - *Answer*: Indeed, the FILTER keyword (of the SPARQL language) is not available. Although this is a very useful keyword and we would love to support something like that, there needs to be an equivalent of filtering in the reasoner and most of the time this is not there. We do keep this in mind when looking/making for a new reasoner, but I do not expect this to be available anytime soon (there is still research required, I think). Note that a Knowledge Interaction is more than a single Basic Graph Pattern (although it is the most important part of it). It also has a type (Ask/Answer or Post/React) and a Communicative Act (to convey the 'reason' for the interaction). Also, the Post/React KI have two graph patterns attached to them; the argument and the result graph pattern. *Question*: It means also that a SparQL query like you see below is a SparQL query and is not something that can be used at the KE REST API interface. Only the part within the brackets is a basic graph pattern. Is that right? -``` +```sparql SELECT ?sensor WHERE { ?building a saref4bldg:Building. ?building bot:containsElement ?sensor. @@ -33,31 +38,31 @@ SELECT ?sensor WHERE { *Question*: In POST /sc/ki one registers a Knowledge Interaction along with the knowledge interaction type. In POST /sc/ask one queries for some results by referring to a KI and providing an incomplete binding set. The result will be a complete binding set. In your presentation KE for dummies slide 12, you mentioned that one could restrict the question (at the react side). I didn’t find in the rest of the slides on how one can do that, except by having a literal in the registered KI. In your example a person has a name and a email address, but the logic only allows to ask for the email address associated with a person with a certain name, but it does not allow to get the name associated with a specific email address. How do we impose such a restriction, or we can’t do this at this stage? - *Answer*: If the logic does not allow the inverse, then you should not use an Ask/Answer Knowledge Interactions with a graph pattern like: - ``` + ```sparql ?person :hasUsername ?userName . ?person :hasEmailaddress ?emailAddress . ``` In that case you want to use the Post/React Knowledge Interactions. These have two Graph Patterns and the *argument* graph pattern would look something like: - ``` + ```sparql ?person :hasUsername ?userName . ``` and the *result* graph pattern would look something like: - ``` + ```sparql ?person :hasEmailaddress ?emailAddress . ``` This tells the Knowledge Engine that you cannot send it an email address and receive the username. *Question*: Can you explain how to register the argument pattern and the result graph pattern? In the KE API I saw only one graph pattern in the register of a Knowledge interaction, and no parameter to indicate if it is an argument pattern or a result graph pattern. -- *Answer*: In the Java Developer API the constructors of the [PostKnowledgeInteraction](https://gitlab.inesctec.pt/interconnect/knowledge-engine/-/blob/0.1.6/smart-connector/src/main/java/eu/interconnectproject/knowledge_engine/smartconnector/api/PostKnowledgeInteraction.java#L45) and [ReactKnowledgeInteraction](https://gitlab.inesctec.pt/interconnect/knowledge-engine/-/blob/0.1.6/smart-connector/src/main/java/eu/interconnectproject/knowledge_engine/smartconnector/api/ReactKnowledgeInteraction.java#L41) objects require both an argument and a result graph pattern. +- *Answer*: In the Java Developer API the constructors of the [PostKnowledgeInteraction](https://github.com/TNO/knowledge-engine/blob/master/smart-connector-api/src/main/java/eu/knowledge/engine/smartconnector/api/PostKnowledgeInteraction.java) and [ReactKnowledgeInteraction](https://github.com/TNO/knowledge-engine/blob/master/smart-connector-api/src/main/java/eu/knowledge/engine/smartconnector/api/ReactKnowledgeInteraction.java) objects require both an argument and a result graph pattern. - In the JSON body of the [REST Developer API ](https://gitlab.inesctec.pt/interconnect/knowledge-engine/-/blob/0.1.6/rest-api/src/main/resources/openapi-sc.yaml) `POST /sc/ki` operation, you specific the type of the Knowledge Interaction. If you choose the PostKnowledgeInteraction or ReactKnowledgeInteraction `knowledgeInteractionType`, the argument and result graph patterns are also expected (see also the schema of the request body): + In the JSON body of the [REST Developer API ](https://github.com/TNO/knowledge-engine/blob/master/smart-connector-rest-server/src/main/resources/openapi-sc.yaml) `POST /sc/ki` operation, you specific the type of the Knowledge Interaction. If you choose the PostKnowledgeInteraction or ReactKnowledgeInteraction `knowledgeInteractionType`, the argument and result graph patterns are also expected (see also the schema of the request body): - ``` + ```json { "knowledgeInteractionType": "PostKnowledgeInteraction", "argumentGraphPattern": "?s ?p ?o", @@ -79,8 +84,8 @@ SELECT ?sensor WHERE { 3) Yes, the PostKnowledgeInteraction sends the argument and the ReactKnowledgeInteraction sends the (optional) result. 4) Currently, this will not work, because we are using a graph pattern *matcher* instead of a *reasoner*. I expect the reasoner to indeed allow them to interact if the POST side result pattern is a subset of the REACT side result pattern. In that case the result binding set at the POST side should also be a subset (in fields) of the binding set given from the REACT side. So, the results are always given to a Knowledge Base in its own terminology, this already happens by translating the variable names, but should also happen in the way you describe once the reasoner is active. -*Question*: I successfully created smart connector (https://cybergrid.com/kb1") and the knowledge Interaction. When I wanted to execute the ask command with the following body: -``` +*Question*: I successfully created smart connector (https://cybergrid.com/kb1) and the knowledge Interaction. When I wanted to execute the ask command with the following body: +```json [ { "deviceName": "device1" @@ -88,10 +93,8 @@ SELECT ?sensor WHERE { ] ``` I received the following expectation from the knowladge-engine: ```400 Bad Request: ['device1' is not an unprefixed URI or literal.]``` -- *Answer*: The reason your request fails is because variable bindings need to be either RDF Literals or IRIs. See also our [documentation](https://gitlab.inesctec.pt/interconnect/knowledge-engine/-/blob/0.1.6/docs/03_java_developer_api.md#bindings). - - - If you change your example value from 'device1' to something like '', this particular error should be resolved. +- *Answer*: The reason your request fails is because variable bindings need to be either RDF Literals or IRIs. See also our [documentation](java_developer_api.md#bindings). + If you change your example value from `device1` to something like ``, this particular error should be resolved. *Question*: Do we need a long polling connection for every Knowledge Interaction? Doesn't that get very complicated? - *Answer*: No, per Smart Connector (or Knowledge Base) you need a single long polling connection to receive all interactions from the Knowledge Engine. Do remember that this long polling connection is returned with status code 202 every 29 seconds and also needs to be reestablished after you receive data via it. @@ -101,7 +104,7 @@ I received the following expectation from the knowladge-engine: ```400 Bad Reque For instance: Let's say we have some graph pattern like: -``` +```sparql ?timeseries rdf:type ex:Timeseries . ?timeseries ex:hasMeasurement ?measurement . ?measurement rdf:type saref:Measurement . @@ -142,7 +145,7 @@ In the ANWSER Knowledge interaction will the binding set be something like: ``` Is the following statement right: the IRI is filled in by the service specific adapter? -Can this IRI then be used to for example ask more info about ? That would mean that the service specific adapter should use an ID that is stored, and not some temporal/volatile ID for the IRI. Because that means that you can give a reference to an object in the answers. Of course you have to provide then a graph pattern to allow the retrieval of this object resulting in another binding set. +Can this IRI then be used to for example ask more info about `` ? That would mean that the service specific adapter should use an ID that is stored, and not some temporal/volatile ID for the IRI. Because that means that you can give a reference to an object in the answers. Of course you have to provide then a graph pattern to allow the retrieval of this object resulting in another binding set. - *Answer*: You are correct with respect to ``. Ideally you should be able to retrieve more information about it and the service should not randomly generate it, but use a stored id. @@ -169,10 +172,12 @@ Is there a complete example available where the KE and the service store is comb *Question*: I use a very generic graph pattern like `?s ?p ?o` for my PostKnowledgeInteraction, but my other KB does not get a request. Or, you do get a request, but your post is not returning with the results. - *Answer*: We noticed multiple knowledge bases that register graph patterns like "?s ?p ?o" (i.e. from the examples we provided). If this is the case, it might occur that you ask a question or post some data and there are multiple KBs available that can answer or want to react to that type of data (i.e. they use a matching graph pattern). This means that you may not receive a request for data on your KB until one of the others has answered or reacted, or you might get a request, but you do not see the expected reaction in your other KB, because the Interoperability layer is waiting for the other matching KBs to answer/react. We have an issue #95 which would allow you to instruct the Knowledge Engine to not wait indefinitely for an answer, but this is still on our todo list. Until then, we recommend using more specific graph patterns for testing. For example: +```json { "knowledgeInteractionType": "ReactKnowledgeInteraction", "argumentGraphPattern": "?s ?o ." } +``` *Question*: In a Ask/Answer interaction the bindingSet is a list of items. The items should stay in the order there are inserted on the Answer side. Currently it is not the case. - *Answer*: The Knowledge Engine cannot guarantee the ordering of the Bindings in a BindingSet due to several reasons. From a Semantic Technology perspective, the bindings are stored in a binding set in which the ordering is not fixed. Also, due to the matchers (and future reasoners) that mediate between different smart connectors and the fact that the response can be a union from BindingSets received from different knowledge bases, it is difficult to guarantee any ordering. Ideally, the ordering of the bindings can be derived from data, for example an ordering value or timestamps. This would allow the data to be sorted after receiving it from the interoperability layer. @@ -185,7 +190,7 @@ Is the best approach to create a KI graph pattern per device type that returns a What if I'm only interested in one parameter (not possible now because an exact match is required in this version, but possible in a next version)? Result: -``` +```json { "results": [ { @@ -217,7 +222,7 @@ Result: - *Answer*: This is indeed quite a generic approach that, unfortunately, cannot be done with the current version of the KE (as you already correctly mention: because of exact matching). You could in theory register a lot of Knowledge Interactions, although I am not sure that is the best approach. If there is a limited set of fields that are always available, I would recommend providing a single large knowledge interaction. This would, however, mean that the asker registers this large knowledge interaction as well. An alternative approach, which maybe mimics the generic behaviour of the API, could be to provide a measurement graph pattern like: - ``` + ```sparql ?deviceId . ?deviceId ?m . ?m ?p . @@ -228,7 +233,7 @@ Result: This would allow the asking side to provide a binding set with a particular deviceId and 'fieldTypes': - ``` + ```json [ { "deviceId": "", @@ -272,14 +277,14 @@ Result: An example: the following graph pattern defines a **device** and the **type** of it’s **property**. -``` +```sparql ?device ?property . ?property a ?propertyType . ``` The only parameters we need here are **device** and **propertyType**. The **property** variable is redundant, but it still needs to be in the graph pattern. What we decided to do, is replace this variable by a placeholder individual : `http://interconnectproject.eu/pilots/greek/property#property`. The resulting pattern would then look like this: -``` +```sparql ?device . a ?propertyType . ``` @@ -290,7 +295,7 @@ I guess my question is more specifically: “Will the compliance checker look at - *Answer*: I think it helps if we distinguish between syntax and semantics here. Using a pattern like: - ``` + ```sparql ?device . a ?propertyType . ``` @@ -315,8 +320,7 @@ I guess my question is more specifically: “Will the compliance checker look at 6. ` a saref:Energy .` Now, if we draw these triples as a graph figure, we get something like the following: - - ![fixed_iri_in_gp](/uploads/6cbb12403ebb8610271df081961cb368/fixed_iri_in_gp.png) + [Image no longer available] Note: - that there are 6 triples in the above graph pattern, but only 5 edges in this figure. This is caused by the fact that the 1st and 3rd triple of the graph pattern above are exactly the same and triples can only occur once in a graph. So, if you write them twice, they will still only occur once. @@ -324,7 +328,7 @@ I guess my question is more specifically: “Will the compliance checker look at Conclusion: while the fixed property is syntactically correct, it is semantically incorrect. So, using a fixed property in the current version of the KE (with a matcher instead of a reasoner) will probably work fine and the data is exchanged as expected. This is, however, probably not the case with the future version of the KE with reasoner, because the reasoner will actually semantically interpret the graph pattern and bindingset and when you ask something like: - ``` + ```sparql ?device . a saref:Energy . ``` diff --git a/docs/docs/get-started/_category_.json b/docs/docs/get-started/_category_.json new file mode 100644 index 000000000..7e664cc1b --- /dev/null +++ b/docs/docs/get-started/_category_.json @@ -0,0 +1,8 @@ +{ + "label": "Tutorial", + "position": 6, + "link": { + "type": "generated-index", + "description": "In-depth details about how to use the various elements of the Knowledge Engine" + } +} diff --git a/docs/docs/get-started/knowledge-interactions.md b/docs/docs/get-started/knowledge-interactions.md new file mode 100644 index 000000000..3f373365c --- /dev/null +++ b/docs/docs/get-started/knowledge-interactions.md @@ -0,0 +1,70 @@ +--- +--- +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +# Knowledge Interactions + +## How to instantiate a Knowledge Interaction? + + + +```java +// ASK: +AskKnowledgeInteraction askInteraction = new AskKnowledgeInteraction(graphPattern); +smartConnector.register(askInteraction); + +// ANSWER: +AnswerKnowledgeInteraction answerInteraction = new AnswerKnowledgeInteraction(graphPattern); +smartConnector.register(answerInteraction); + +// POST: +PostKnowledgeInteraction postInteraction = new PostKnowledgeInteraction(graphPattern); +smartConnector.register(postInteraction); + +// REACT: +ReactKnowledgeInteraction reactInteraction = new ReactKnowledgeInteraction(graphPattern); +smartConnector.register(reactInteraction); +``` + + + + +## How to add a knowledge interaction? + + + +```java +AskKnowledgeInteraction askInteraction = new AskKnowledgeInteraction(graphPattern); + sc.register(askInteraction); +``` + + + + +## How to execute a Knowledge Interaction? + + + +```java +AskResult interactionResult = sc.ask(askInteraction, queryBindings).get(); +``` + + + + +## How to get the result of a Knowledge Interaction? +After executing a Knowledge Interaction, you can access the bindings from its result. +These bindings will provide actual values for the variables in the graph pattern of the interaction. + + + + +```java +BindingSet resultBindings = interactionResult.getBindings(); +``` + + + + +## How to remove a knowledge interaction? diff --git a/docs/docs/get-started/smart-connector.md b/docs/docs/get-started/smart-connector.md new file mode 100644 index 000000000..e32d5580f --- /dev/null +++ b/docs/docs/get-started/smart-connector.md @@ -0,0 +1,39 @@ +--- +sidebar_position: 6 +--- + +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +# Smart Connectors + +## How to instantiate a Smart Connector? + + + +```java +SmartConnector sc = SmartConnectorBuilder.newSmartConnector(this).create(); +``` + + + + +```bash +cd smart-connector-rest-dist/target + +export KD_URL=http://localhost:8080 +export KE_RUNTIME_EXPOSED_URL=http://localhost:8081 +export KE_RUNTIME_PORT=8081 + +java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 +``` + + + + + +## How to add a Smart Connector? + +## How to remove a Smart Connector? + +## How to renew the lease of a Smart Connector? \ No newline at end of file diff --git a/docs/docs/glossary.md b/docs/docs/glossary.md new file mode 100644 index 000000000..aa9ee7b5a --- /dev/null +++ b/docs/docs/glossary.md @@ -0,0 +1,59 @@ +--- + sidebar_position: 100 +--- + +# Glossary + +## Knowledge Base +An independent producer and/or consumer of information. + +## Knowledge Network +A set of Knowledge Bases that securely exchange knowledge about a clearly defined domain. + +## Knowledge Engine Runtime +A single instance that is part of a Knowledge Network. +It takes care of the communication between one (or more!) Knowledge Base(s) and the rest of the Knowledge Network. + +## Knowledge Directory +A registry that keeps track of all Knowledge Bases (as represented by Smart Connectors), and specifically their knowledge needs and desires. + +## Smart Connector +An entity (currently in the form of a Java object) that enables a Knowledge Base to connect to a Knowledge Network and exchange knowledge. + +## Knowledge Interaction +A specification of knowledge that a Knowledge Base processes. +A Knowledge Interaction is always one of the following four types: ASK, ANSWER, POST, REACT. +### ASK +A request for knowledge. + +### ANSWER +Answer to a request for knowledge + +### POST +A publication of knowledge. + +### REACT +Reaction to the publication of knowledge + + +## Graph Pattern +A set of triples, separated by a dot (.), that describe the Knowledge that is processed with a Knowledge Interaction. +Each triple consists of a subject, predicate, and object. +Each of these can be either a variable (using a question mark `?var` prefix), a URI (using the ``) or a literal (using quotes `"hello"`) + +### On the Expressibility of Graph Patterns +Currently, the Knowledge Engine only supports Basic Graph Patterns. +It does not yet support features such as the FILTER from SPARQL. + +## Binding Set +A result of a Knowledge Interaction can have more than 1 match. +These matches are collected in a `BindingSet`, which is simply a set of bindings. + +### Binding +Describes a 'match' of a graph pattern. +Essentially it maps (free) variables in a graph pattern to actual values. +Variables can be identified in a graph pattern as they are always prefixed with `?`. + +Two important things should be noted: +1. The keys of the bindings MUST correspond to the variable names in the graph pattern, and they must be complete (all variables must have a value bound to them). (This last restriction does not apply to the bindings given with ASK requests; they can be partial of even empty.) +2. The values of the bindings MUST be valid IRIs (https://www.w3.org/TR/turtle/#sec-iri) (for now without prefixes, so full IRIs) or valid literals (https://www.w3.org/TR/turtle/#literals). diff --git a/docs/docs/intro.md b/docs/docs/intro.md new file mode 100644 index 000000000..9f3e92454 --- /dev/null +++ b/docs/docs/intro.md @@ -0,0 +1,22 @@ +--- +sidebar_position: 1 +slug: / +--- + +# Introduction to the Knowledge Engine + +The Knowledge Engine helps to intelligently exchange data in an interoperable way between various systems, such as devices, APIs, databases, and services. +This is achieved by participants announcing the type of data that they can provide and are interested in. +The Knowledge Engine then intelligently combines this information from all participants in the network to ensure seamless data exchange across multiple information systems from different vendors and organizations, without using a centralized database. + +## Why choose the Knowledge Engine? +There are many techniques out there to exchange data, what makes the Knowledge Engine unique, is the combination of the following points: +- **Interactive Question-Answering**: Not only can you ask questions and receive answers as in typical databases, you can also react to new data that becomes available +- **Data at the Source**: Data is stored at the source, not in a single central server that is susceptible to failure +- **Control Your Data**: You decide which data you want to share, with whom, and which data to keep secret +- **Distributed**: Share data both within and outside of your organisation +- **Reasoning**: Infer new facts & intelligently link agents to answer even more complex questions +- **Dynamic**: The network automatically adapts and discovers new knowledge bases to take into account + +## Underlying principles & techniques +The Knowledge Engine is based on research in semantic technologies, ontologies and distributed computing. diff --git a/docs/03_java_developer_api.md b/docs/docs/java_developer_api.md similarity index 95% rename from docs/03_java_developer_api.md rename to docs/docs/java_developer_api.md index 9a002d66e..a8928b5e2 100644 --- a/docs/03_java_developer_api.md +++ b/docs/docs/java_developer_api.md @@ -1,11 +1,15 @@ +--- + sidebar_position: 5 +--- + # Java Developer API As a developer, you might be thinking "this all seems awfully complex and painful". If that sounds like you, we have good news: you don't have to bother with most of it! -This section explains the Java Developer API of the Knowledge Engine. The requirements of the Knowledge Engine are described in Test Cases and can be found [here](./04_test_cases.md). +This section explains the Java Developer API of the Knowledge Engine. -Note that there is also a [REST Developer API](https://gitlab.inesctec.pt/interconnect/knowledge-engine/-/blob/master/rest-api/src/main/resources/openapi-sc.yaml) available. +Note that there is also a [REST Developer API](https://github.com/TNO/knowledge-engine/blob/master/smart-connector-rest-server/src/main/resources/openapi-sc.yaml) available. We provide an implementation of a `SmartConnector` that you can instantiate as a Java object. You are responsible for: @@ -42,7 +46,7 @@ where `graphPattern` is a string describing an RDF graph pattern where variables Graph patterns consist of one or more triples separated by a dot (.) and each triple consists of a subject, predicate and object node. Each node can be either a variable (using a question mark `?var` prefix), a URI (using the `` or a literal (using quotes `"hello"`). More information on graph patterns can be found in: -- this presentation (from slide 16 onwards): https://drive.inesctec.pt/f/16079670 + - Graph Pattern syntax is based on W3C's [SPARQL 1.1 graph pattern](https://www.w3.org/TR/rdf-sparql-query/#BasicGraphPatterns). As an example, assume `graphPattern` is the following graph pattern: @@ -54,7 +58,7 @@ As an example, assume `graphPattern` is the following graph pattern: ?measurement saref:hasSimpleResult ?temperature . ``` It can be illustrated with this diagram: -![illustration of aforementioned graph pattern](./img/temperature-measurement-example.png) +![illustration of aforementioned graph pattern](./../static/img/temperature-measurement-example.png) where the variables are represented by circles and the fixed URIs are represented by rectangles. @@ -109,7 +113,7 @@ A result of a knowledge interaction can have more than 1 match. These matches ar The Graph Pattern syntax has a limited expressibility. This means there are certain things that you might want to express with them, but are unable to. Sometimes this means it limits the actual data exchange, but sometimes there are work-arounds. One of the limitations is related to one-to-many relations. Take the following RDF about parents and children in which a parent has a one-to-many relation with its children: -``` +```sparql ex:parent1 rdf:type ex:Parent . ex:parent1 ex:hasChild ex:child1 . @@ -123,8 +127,8 @@ ex:child3 rdf:type ex:Child . ``` As you can see, RDF is perfectly capable of expressing one-to-many relations. Now imagine that you want to use the Interoperability layer to exchange information about parents and their children. For this you need to let the Interoperability layer know that you can participate in data exchanges about parents and their children. You do this using a graph pattern (and for example an AnswerKnowledgeInteraction). Let's take the following graph pattern: - -``` + +```sparql ?parent rdf:type ex:Parent . ?parent ex:hasChild ?someChild . ?someChild rdf:type ex:Child . @@ -134,7 +138,7 @@ Since the syntax of graph patterns is limited, you cannot express that the `ex:h A bindingset provides a collection of 'solutions' to the graph pattern, i.e. combinations of values for the available variables (those start with a question mark `?`) in the graph pattern. So, in the graph pattern above there are two variables (note that both variables occur twice). A binding set consists of zero or more bindings and each binding represents a single mapping of some or all of the variables to a value. For example, when the graph pattern above is applied to the RDF data above, this results in the following bindingset (note that we use JSON here to express the bindingset): -``` +```json [ { "parent": "", @@ -157,7 +161,7 @@ As you can see, the one-to-many relations in the RDF data is represented in the Imagine your graph pattern looks something like this (note that we use a non existing ontology): -``` +```sparql ?ts rdf:type ex:TimeSeries . ?ts ex:hasUnitOfValue ?unit . ?ts ex:hasMeasurement ?meas . diff --git a/docs/docs/quickstart.md b/docs/docs/quickstart.md new file mode 100644 index 000000000..a48924a72 --- /dev/null +++ b/docs/docs/quickstart.md @@ -0,0 +1,33 @@ +--- + sidebar_position: 3 +--- + +# Quickstart + +Setting up a Knowledge Network requires 3 steps: +1. Start a Knowledge Directory +2. Start one (or more) Smart Connectors. +3. Register Knowledge Interactions + +## Starting the Knowledge Directory +Start the Knowledge Directory on ports 8080: +```bash +cd knowledge-directory/target/ + +java -Dorg.slf4j.simpleLogger.logFile=kd.log -cp "knowledge-directory-1.2.4.jar:dependency/*" eu.knowledge.engine.knowledgedirectory.Main 8080 +``` +You can of course run the Knowledge Directory on another port by replacing 8080 by your preferred port number. + +## Starting a Smart Connector +After starting a Knowledge Directory, one can start smart connectors to join the network via: +```bash +cd smart-connector-rest-dist/target + +export KD_URL=http://localhost:8080 +export KE_RUNTIME_EXPOSED_URL=http://localhost:8081 +export KE_RUNTIME_PORT=8081 + +java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 +``` + +## Registering Knowledge Interactions \ No newline at end of file diff --git a/docs/02_reasoning.md b/docs/docs/reasoning.md similarity index 84% rename from docs/02_reasoning.md rename to docs/docs/reasoning.md index a261b2994..8afbcacc6 100644 --- a/docs/02_reasoning.md +++ b/docs/docs/reasoning.md @@ -1,62 +1,47 @@ -# How to use reasoning? +--- + sidebar_position: 10 +--- +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; -This section explains how to use reasoning in the knowledge engine. +# Reasoning -It is optional to use the reasoner, and you have to specifically opt in to enable it. -If you don't opt in, the *matcher* is used, which simply only facilitates data exchange when graph patterns match exactly (except for order of triples and variable names). - -## Enabling the reasoner when using the Java API -If using the Java API, you can enable the reasoner in your `SmartConnector` by calling: - -```java -smartConnector.setReasonerEnabled(true); -``` - -Then, any **proactive** knowledge interaction that you trigger in the smart connector will use the reasoner. - -## Enabling the reasoner when using the REST API -If using the REST API, you can enable the reasoner in your smart connector by adding the `reasonerEnabled` property during knowledge base registration: - -```json -{ - "knowledgeBaseId": "http://example.org/kb-with-reasoner-enabled", - "knowledgeBaseName": "My reasonable knowledge base", - "knowledgeBaseDescription": "This is an example knowledge base with the reasoner turned on.", - "reasonerEnabled": true -} -``` - -Subsequently, any **proactive** knowledge interaction that you register and use will use the reasoner. +## What does the reasoner do? -# What does the reasoner do? +We can distinguish between two types of reasoning as it happens within the knowledge engine: +1. reasoning to infer new data, and +2. reasoning for orchestration of data -We can distinguish between two types of reasoning as it happens within the knowledge engine: 1) reasoning to infer new data and 2) reasoning for orchestration of data exchange. +It is optional to use the reasoner, and you have to specifically opt in to enable it. +If you don't opt in, the *matcher* is used, which simply only facilitates data exchange when graph patterns match exactly (except for order of triples and variable names). ## Reasoning to infer new data This type of reasoning is what is usually meant when talking about a reasoning in the context of the Semantic Web. In such a scenario there is a collection of facts and a collection of rules and the reasoner uses the facts and rules to infer new facts. The original facts are called the _asserted facts_ and the derived facts are called the _inferred facts_ (see figure 1). -![alt text](./img/asserted-vs-inferred.png)*Figure 1: the difference between asserted and inferred facts.* +![The difference between asserted and inferred facts illustrated by showing how reasoning enhances the amount of available facts](.././static/img/asserted-vs-inferred.png) + +*Figure 1: the difference between asserted and inferred facts.* In the figure you see two databases with triples. The left database only contains asserted facts and whenever a user asks a question to this database, it answer will be sought within these asserted facts. In the right database you still see the asserted facts, but this time a collection of inferred facts on top of them is also available. These inferred facts are derived by the reasoner from the asserted facts by applying a set of rules. Now, whenever a user asks a question to the database on the right, the answer is not only sought in the asserted facts, but in both the asserted and inferred facts. Let's give an example. Imagine a smart home scenario where lights have a state of either 'on' or 'off'. In triples this looks like: -``` +```sparql ex:light1 rdf:type ex:Light . ex:light1 ex:hasState ex:on . ``` Now imagine all the on/off states of all the lights in the home are maintained as asserted facts in a database. The home owner uses an app to check which lights she left on in her home and this app checks the on/off states using the asserted facts in the database. This all works perfect and the home owner buys and installs a new _dimmable_ light. Unfortunately, the app does not check whether the new dimmable light is on or off, since a dimmable light is not either on/off, but has a light intensity between 0 and 100. So, its triples look like: -``` +```sparql ex:light2 rdf:type ex:DimmableLight . ex:light2 ex:hasIntensity "23"^^xsd:integer . ``` Now, an update of the app to also check intensity levels of dimmable lights could solve this problem, but updates do not always happen. By using the reasoning capabilities, this problem can also be solved without any updates to the app. This solution would involve telling the reasoner that a DimmableLight (which is also a Light) is on if its light intensity level is larger than 0. Such a rule (which is typically part of the Knowledge Model) looks like: -``` +```sparql if ?light rdf:type ex:DimmableLight . ?light ex:hasIntensity ?intensity . @@ -74,13 +59,13 @@ Now, the (legacy) app is able to check the dimmable light's on/off state. This c This type of reasoning is less obvious and requires some explanation. It is particularly useful in a scenario where data is scattered amongst heterogeneous knowledge bases. Instead of periodically transforming data from each of those knowledge bases into a uniform format and collecting it in a central database, this orchestration method allows the data to stay at its source and only retrieve those facts whenever they are needed. -For the reasoner to orchestrate this, it requires an overview of all the currently available knowledge bases and their capabilities. These capabilities are called knowledge interactions (see also [Conceptual framework](01_concept.md)) and each knowledge base typically has multiple of them. Each knowledge interaction represents a single capability of a knowledge base and describes this capability using only the concepts and relations defined in the common ontology. Our assumption is that every capability of a possible knowledge base (i.e. a machine learning model, user app, database or service) can be described in such a way. +For the reasoner to orchestrate this, it requires an overview of all the currently available knowledge bases and their capabilities. These capabilities are called knowledge interactions (see also [Conceptual Framework](./conceptual_framework.md)) and each knowledge base typically has multiple of them. Each knowledge interaction represents a single capability of a knowledge base and describes this capability using only the concepts and relations defined in the common ontology. Our assumption is that every capability of a possible knowledge base (i.e. a machine learning model, user app, database or service) can be described in such a way. With this overview of the available capabilities, the reasoner is able to answer questions about knowledge that is scattered over multiple knowledge bases. This works as follows. For every knowledge interaction of every available knowledge base, the Smart Connector determines whether it is relevant and if so, it updates its state accordingly. This state consists of a collection of rules that represent the available capabilities and whenever the reasoner applies such a rule to answer a certain question (i.e. using backward reasoning), during the execution of the rule the relevant Knowledge Base is contacted and the data is retrieved on the fly. For example, there are three knowledge bases called App, Measurements and Temperature Converter. The scenario is that the App gives the user access to all available measurements in degrees Fahrenheit. However, the Measurements Knowledge Base only stores measurements in degrees Celcius. The idea is that the reasoner is able to use the Temperature Converter Knowledge Base to convert the availble measurements in degrees Celcius into the requested measurements in degrees Fahrenheit. The knowledge interactions of the different Knowledge Bases are of the following: -``` +```sparql App knowledge interaction (ASK): pattern: ?meas rdf:type saref:Measurement . @@ -100,9 +85,9 @@ Temperature knowledge interaction (REACT): ?mm saref:tempInCelcius ?tc . ``` -Now, these knowledge interactions will result in the following backward rules (see also [Conceptual framework](01_concept.md)) in the App's Smart Connector: +Now, these knowledge interactions will result in the following backward rules (see also (see also [Conceptual Framework](./conceptual_framework.md)) in the App's Smart Connector: -``` +```sparql if ?m rdf:type saref:Measurement . ?m saref:tempInCelcius ?t . @@ -123,7 +108,7 @@ end The App asks its SmartConnector for measurements in degrees Fahrenheit, but the Measurements Knowledge Base (KB) only contains measurements in degrees Celcius. The reasoner will therefore apply the backward rule of the Temperature Converter to every measurement that the Measurements KB returns. So, the Measurements KB returns the following RDF: -``` +```sparql :m1 rdf:type saref:Measurement . :m1 saref:tempInCelcius 21 . @@ -136,7 +121,7 @@ The App asks its SmartConnector for measurements in degrees Fahrenheit, but the The Temperature Converter KB is able to convert this into: -``` +```sparql :m1 rdf:type saref:Measurement . :m1 saref:tempInCelcius 69.8 . @@ -149,7 +134,7 @@ The Temperature Converter KB is able to convert this into: Which is the data that can be returned by the Smart Connector to the App KB as the answer to its query. But data exchange does not only involve asking questions and getting answers (i.e. pulling data), it often also entails publishing data to subscribers (i.e. pushing data). If we modify the Measurements KB of the above example into a Temperature sensor that periodically publishes the latest measurement in degrees Celcius. The knowledge interactions of the App and Temperature Converter KBs remain the same and the Temperature Sensor KB has the following knowledge interaction: -``` +```sparql Temperature Sensor knowledge interaction (POST): argument pattern: ?m rdf:type saref:Measurement . @@ -159,7 +144,7 @@ Temperature Sensor knowledge interaction (POST): Note that the only difference with the knowledge interaction of the Measurements KB is that the output knowledge is no longer requestable, but only subscribable. This Temperature Sensor knowledge interaction results in the following *forward* rule in the Smart Connector of the Temperature Sensor: -``` +```sparql if ?m rdf:type saref:Measurement . ?m saref:tempInCelcius ?t . @@ -170,7 +155,7 @@ end This means that whenever the Temperature Sensor publishes a new measurement, it will get pushed to subscribed KBs (in this case the App KB). The Smart Connector of the App KB will receive this measurement where its reasoner works with the following *forward* rules: -``` +```sparql if ?mm rdf:type saref:Measurement . @@ -195,9 +180,38 @@ Now, upon receiving the new measurement the rule for the Temperature Converter w From these example it becomes clear that a reasoner can also be used to orchestrate data exchange between different Knowledge Bases. ## Full example -In [`/examples/reasoner/`](/examples/reasoner/) in the Knowledge Engine repository, you can find a complete example in a Docker Compose project. +In `examples/reasoner/` in the Knowledge Engine repository, you can find a complete example in a Docker Compose project. That example is a variant on the unit conversion orchestration. + +## Enabling the reasoner + + + + +```java +smartConnector.setReasonerEnabled(true); +``` + + + + +When using the REST API, you can enable the reasoner in your smart connector by adding the `reasonerEnabled` property during knowledge base registration: + +```json +{ + "knowledgeBaseId": "http://example.org/kb-with-reasoner-enabled", + "knowledgeBaseName": "My reasonable knowledge base", + "knowledgeBaseDescription": "This is an example knowledge base with the reasoner turned on.", + "reasonerEnabled": true +} +``` + + + +When reasoning is enabled, any **proactive** Knowledge Interaction (i.e. ASK and POST) that you trigger in the smart connector will use the reasoner. + + ## Performance warning When using large graph patterns and/or many bindings, the reasoner's time and memory consumption doesn't scale very well. In those cases, you may experience out-of-memory issues, or very long processing times. diff --git a/docs/docs/security.md b/docs/docs/security.md new file mode 100644 index 000000000..dce211f18 --- /dev/null +++ b/docs/docs/security.md @@ -0,0 +1,21 @@ +--- + sidebar_position: 11 +--- + +# Security +Within the KE we distinguish between several parts of the security question and explain below how we expect to deal with those: + +1) **Connection between Knowledge Base (KB) and Smart Connector (SC)**: When using _Java_ Developer API this is secure by default, however, when using the REST Developer API we need to be more careful. The Generic Adapter and Service Store already provide some solution for this. +2) **Connection between SC and SC** (when in different Java Virtual Machines): By using a configurable Exposed URL, the KE remains flexible with respect to the setup it is used in. This Exposed URL can point directly to the SC or to a proxy that is configured for HTTPS with certificates. +3) **Connection between SC and Knowledge Directory (KD)**: The Knowledge Directory itself exposes a REST API that we recommend to be put behind a HTTPS proxy. SCs have a configuration option to point to the URL of the Knowledge Directory. This can be both HTTP and HTTPS. +4) **Identification/authentication**: Still unclear, but we are thinking about *not* introducing the concept of a user within the KE. The reason is that the only way other KBs can really trust a user, is by having a centralized Identity Provider that all KBs can access which constrasts the distributed nature of the KE. But again, not sure about whether we can maintain this position. Sharing login credentials and JWT tokens through the KE by including them in the domain knowledge is of course possible and this indeed requires the ontologies to contain classes and properties related to login and token information. +5) **Authorization**: In the future we want to support roles and access control policies that are agreed upon by all KBs and it should make up the domain knowledge together with the ontology. We will definitely work on this in the future, but probably not in the scope of InterConnect. + + +## Sharing credentials + +As I mentioned in my previous comment there is no _right_ way to deal with sharing credentials. More discussion and experience is definitely necessary to find the sweet spot for security related issues like these. In your use cases, the easiest and safest way is probably to share the credentials outside of the Knowledge Engine and just use some token (or home id) in the graph pattern, but it might be interesting to see how actually sending the credentials through the KE works out using a login graph pattern. Keep in mind, though, that the KE does not encrypt anything by itself and that the credentials might be visible to others. + +## Using Basic Authentication to secure data exchange + +The communication in a Knowledge Network can be secured using Basic Authentication and HTTPS. This requires the usage of reverse proxies (like [NGINX](https://www.nginx.org/)) in front of the KD and KE runtimes. In such scenario, this reverse proxy handles all HTTPS and Basis Authentication configuration and forwards traffic over HTTP and without basic authentication to the KD and KE Runtime. To facilitate this, the KE supports conveying user credentials (username and password) within both the KD_URL and KE_RUNTIME_EXPOSED_URL environment variables like this `https://username:password@www.example.org/keruntime`. Whenever these URLs contains user credentials, the KER uses these credentials to connect to the Knowledge Directory or Knowledge Engine Runtime, respectively. An example of using Basic Authentication (without HTTPS) in distributed mode can be found in the within the Knowledge Engine repository at `examples/authentication/`. diff --git a/docs/docusaurus.config.js b/docs/docusaurus.config.js new file mode 100644 index 000000000..92dcc6918 --- /dev/null +++ b/docs/docusaurus.config.js @@ -0,0 +1,94 @@ +// @ts-check +// `@type` JSDoc annotations allow editor autocompletion and type checking +// (when paired with `@ts-check`). +// There are various equivalent ways to declare your Docusaurus config. +// See: https://docusaurus.io/docs/api/docusaurus-config + +import {themes as prismThemes} from 'prism-react-renderer'; + +/** @type {import('@docusaurus/types').Config} */ +module.exports = { + title: 'Knowledge Engine', + tagline: 'Intelligently exchanging data', + favicon: 'img/favicon.ico', + url: 'https://docs.knowledge-engine.eu', + baseUrl: '/', + onBrokenLinks: 'throw', + onBrokenMarkdownLinks: 'warn', + i18n: { + defaultLocale: 'en', + locales: ['en'], + }, + + presets: [ + [ + 'classic', + /** @type {import('@docusaurus/preset-classic').Options} */ + ({ + docs: { + routeBasePath: '/', // Serve docs at site's root + sidebarPath: './sidebars.js', + }, + blog: false, // disable blog plugin + theme: { + customCss: './src/css/custom.css', + }, + }), + ], + ], + + themeConfig: + /** @type {import('@docusaurus/preset-classic').ThemeConfig} */ + ({ + image: 'img/docusaurus-social-card.jpg', + navbar: { + title: '', + logo: { + alt: 'Knowledge Engine logo', + src: 'img/ke_text.svg', + }, + items: [ + { + type: 'docSidebar', + sidebarId: 'tutorialSidebar', + position: 'left', + label: 'Documentation', + }, + { + href: 'https://www.knowledge-engine.eu/blog', + label: 'Blog', + position: 'right', + }, + { + href: 'https://github.com/TNO/knowledge-engine', + label: 'GitHub', + position: 'right', + }, + ], + }, + footer: { + style: 'dark', + copyright: `Copyright © ${new Date().getFullYear()} TNO Built with Docusaurus.`, + }, + 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"deploy": "docusaurus deploy", + "clear": "docusaurus clear", + "serve": "docusaurus serve", + "write-translations": "docusaurus write-translations", + "write-heading-ids": "docusaurus write-heading-ids" + }, + "dependencies": { + "@docusaurus/core": "3.2.1", + "@docusaurus/preset-classic": "3.2.1", + "@easyops-cn/docusaurus-search-local": "^0.44.0", + "@mdx-js/react": "^3.0.0", + "clsx": "^2.0.0", + "prism-react-renderer": "^2.3.0", + "react": "^18.0.0", + "react-dom": "^18.0.0" + }, + "devDependencies": { + "@docusaurus/module-type-aliases": "3.2.1", + "@docusaurus/types": "3.2.1" + }, + "browserslist": { + "production": [ + ">0.5%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 3 chrome version", + "last 3 firefox version", + "last 5 safari version" + ] + }, + "engines": { + "node": ">=18.0" + } +} diff --git a/docs/sidebars.js b/docs/sidebars.js new file mode 100644 index 000000000..5418707e6 --- /dev/null +++ b/docs/sidebars.js @@ -0,0 +1,33 @@ +/** + * Creating a sidebar enables you to: + - create an ordered group of docs + - render a sidebar for each doc of that group + - provide next/previous navigation + + The sidebars can be generated from the filesystem, or explicitly defined here. + + Create as many sidebars as you want. + */ + +// @ts-check + +/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */ +const sidebars = { + // By default, Docusaurus generates a sidebar from the docs folder structure + tutorialSidebar: [{type: 'autogenerated', dirName: '.'}], + + // But you can create a sidebar manually + /* + tutorialSidebar: [ + 'intro', + 'hello', + { + type: 'category', + label: 'Tutorial', + items: ['tutorial/create-a-document'], + }, + ], + */ +}; + +export default sidebars; diff --git a/docs/src/css/custom.css b/docs/src/css/custom.css new file mode 100644 index 000000000..ddfcebf40 --- /dev/null +++ b/docs/src/css/custom.css @@ -0,0 +1,30 @@ +/** + * Any CSS included here will be global. The classic template + * bundles Infima by default. Infima is a CSS framework designed to + * work well for content-centric websites. + */ + +/* You can override the default Infima variables here. */ +:root { + --ifm-color-primary: #6783cb; + --ifm-color-primary-dark: #5877c6; + --ifm-color-primary-darker: #3e60b6; + --ifm-color-primary-darkest: #496bc1; + --ifm-color-primary-light: #0041f5; + --ifm-color-primary-lighter: #7790D0; + --ifm-color-primary-lightest: #b3c1e5; + --ifm-code-font-size: 95%; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.1); +} + +/* For readability concerns, you should choose a lighter palette in dark mode. */ +[data-theme='dark'] { + --ifm-color-primary: #b3c1e5; + --ifm-color-primary-dark: #21af90; + --ifm-color-primary-darker: #1fa588; + --ifm-color-primary-darkest: #1a8870; + --ifm-color-primary-light: #29d5b0; + --ifm-color-primary-lighter: #32d8b4; + --ifm-color-primary-lightest: #4fddbf; + --docusaurus-highlighted-code-line-bg: rgba(0, 0, 0, 0.3); +} diff --git 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--git a/docs/img/temperature-measurement-example.png b/docs/static/img/temperature-measurement-example.png similarity index 100% rename from docs/img/temperature-measurement-example.png rename to docs/static/img/temperature-measurement-example.png diff --git a/docs/static/img/undraw_docusaurus_mountain.svg b/docs/static/img/undraw_docusaurus_mountain.svg new file mode 100644 index 000000000..af961c49a --- /dev/null +++ b/docs/static/img/undraw_docusaurus_mountain.svg @@ -0,0 +1,171 @@ + + Easy to Use + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/static/img/undraw_docusaurus_react.svg b/docs/static/img/undraw_docusaurus_react.svg new file mode 100644 index 000000000..94b5cf08f --- /dev/null +++ b/docs/static/img/undraw_docusaurus_react.svg @@ -0,0 +1,170 @@ + + Powered by React + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs/static/img/undraw_docusaurus_tree.svg b/docs/static/img/undraw_docusaurus_tree.svg new file mode 100644 index 000000000..d9161d339 --- /dev/null +++ b/docs/static/img/undraw_docusaurus_tree.svg @@ -0,0 +1,40 @@ + + Focus on What Matters + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + From 138fe7eaa1007bc100615baf49918b4fcef52500 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Mon, 17 Jun 2024 15:23:26 +0200 Subject: [PATCH 08/17] Prepare for release 1.2.5 --- README.md | 24 +++++++++---------- .../src/main/resources/openapi-admin-ui.yaml | 2 +- docs/docs/distributed_mode.md | 4 ++-- docs/docs/get-started/smart-connector.md | 2 +- docs/docs/quickstart.md | 4 ++-- examples/authentication/docker-compose.yml | 6 ++--- examples/multiple-runtimes/docker-compose.yml | 8 +++---- examples/reasoner/docker-compose.yml | 2 +- examples/rest-api/docker-compose.yml | 2 +- examples/runtime-tests/docker-compose.yml | 18 +++++++------- .../unreachable-runtimes/docker-compose.yml | 2 +- pom.xml | 2 +- .../src/main/resources/openapi-sc.yaml | 2 +- 13 files changed, 39 insertions(+), 39 deletions(-) diff --git a/README.md b/README.md index 03e6f1e84..7b2d1ce46 100644 --- a/README.md +++ b/README.md @@ -71,7 +71,7 @@ The easiest way to start a Knowledge Engine runtime is with Docker: ```bash docker run \ -p 8280:8280 \ - ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 ``` The Knowledge Engine runtime is now available to use via the REST API at base URL `http://localhost:8280/rest` on your host machine. @@ -93,7 +93,7 @@ docker run \ -p 8081:8081 \ -e KD_URL=https://knowledge-directory.example.org \ -e KE_RUNTIME_EXPOSED_URL=https://your-domain.example.org:8081 \ - ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 ``` ### Running with Java @@ -111,7 +111,7 @@ export KE_RUNTIME_EXPOSED_URL=https://your-domain.example.org:8081 # Start it. The argument (8280) denotes the port number at which it # will listen for connections to the Knowledge Engine REST API. java -jar -Dorg.slf4j.simpleLogger.logFile=smart-connector.log \ - smart-connector-rest-dist-1.2.4-with-dependencies.jar 8280 + smart-connector-rest-dist-1.2.5-with-dependencies.jar 8280 ``` The JAR can be retrieved by compiling the project: @@ -205,17 +205,17 @@ These are instructions on what to do when we release a new version of the knowle 5. Build and push the new Docker images to GitLab: ```bash -docker buildx build ./smart-connector-rest-dist --platform linux/arm64,linux/amd64 --tag docker-registry.inesctec.pt/interconnect/knowledge-engine/smart-connector-rest-dist:1.2.4 --push -docker buildx build ./knowledge-directory --platform linux/arm64,linux/amd64 --tag docker-registry.inesctec.pt/interconnect/knowledge-engine/knowledge-directory:1.2.4 --push -docker buildx build ./admin-ui --platform linux/arm64,linux/amd64 --tag docker-registry.inesctec.pt/interconnect/knowledge-engine/admin-ui:1.2.4 --push +docker buildx build ./smart-connector-rest-dist --platform linux/arm64,linux/amd64 --tag docker-registry.inesctec.pt/interconnect/knowledge-engine/smart-connector-rest-dist:1.2.5 --push +docker buildx build ./knowledge-directory --platform linux/arm64,linux/amd64 --tag docker-registry.inesctec.pt/interconnect/knowledge-engine/knowledge-directory:1.2.5 --push +docker buildx build ./admin-ui --platform linux/arm64,linux/amd64 --tag docker-registry.inesctec.pt/interconnect/knowledge-engine/admin-ui:1.2.5 --push ``` 6. Build and push the new Docker images to GitHub: ```bash -docker buildx build ./smart-connector-rest-dist --platform linux/arm64,linux/amd64 --tag ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 --push -docker buildx build ./knowledge-directory --platform linux/arm64,linux/amd64 --tag ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.4 --push -docker buildx build ./admin-ui --platform linux/arm64,linux/amd64 --tag ghcr.io/tno/knowledge-engine/admin-ui:1.2.4 --push +docker buildx build ./smart-connector-rest-dist --platform linux/arm64,linux/amd64 --tag ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 --push +docker buildx build ./knowledge-directory --platform linux/arm64,linux/amd64 --tag ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.5 --push +docker buildx build ./admin-ui --platform linux/arm64,linux/amd64 --tag ghcr.io/tno/knowledge-engine/admin-ui:1.2.5 --push ``` 7. Prepare the next SNAPSHOT version and make a commit for that too. @@ -232,7 +232,7 @@ docker buildx build ./admin-ui --platform linux/arm64,linux/amd64 --tag ghcr.io/ 10. Inform mailing list(s) (and [the blog](https://www.knowledge-engine.eu/blog/)) about the new release. ## (advanced) Administering a Knowledge Engine runtime -To start a new instance of the REST API knowledge engine version 1.2.4, make sure you have `git checkout 1.2.4` the tag `1.2.4`. Now make sure you run the `mvn clean install` command successfully from the root of the repository. +To start a new instance of the REST API knowledge engine version 1.2.5, make sure you have `git checkout 1.2.5` the tag `1.2.5`. Now make sure you run the `mvn clean install` command successfully from the root of the repository. ### Starting the Knowledge Engine in local mode When no additional configuration parameters are provided, the Knowledge Engine will by default run in local mode. This means you can create multiple smart connectors that can communicate with each other through the REST API, but the Knowledge Engine will not connect to a knowledge directory and will not be able to connect with smart connectors running in other runtimes. @@ -246,13 +246,13 @@ cd smart-connector-rest-dist/target Finally, start the server (note that you can configure a log file by including the `-Dorg.slf4j.simpleLogger.logFile=ke.log` system property to the JVM): ```bash -java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 +java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.5.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 ``` If you want to run in it in the background, you can use the `nohup` linux command (which does not use the simpleLogger configuration system property, but redirects the standard err/out): ```bash -nohup java -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 > ke.log +nohup java -cp "smart-connector-rest-dist-1.2.5.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 > ke.log ``` ### Starting the Knowledge Engine in distributed mode diff --git a/admin-ui/src/main/resources/openapi-admin-ui.yaml b/admin-ui/src/main/resources/openapi-admin-ui.yaml index 74e35a5ef..8c5ddb944 100644 --- a/admin-ui/src/main/resources/openapi-admin-ui.yaml +++ b/admin-ui/src/main/resources/openapi-admin-ui.yaml @@ -5,7 +5,7 @@ info: description: This API provides information on Knowledge Engine Runtimes (todo), Smart Connectors, Knowledge Bases, and Knowledge Interactions in a Knowledge Engine Network. - version: 1.2.4 + version: 1.2.5 paths: /rest/admin/sc/all/{include-meta}: diff --git a/docs/docs/distributed_mode.md b/docs/docs/distributed_mode.md index de0b2009b..e142c2c15 100644 --- a/docs/docs/distributed_mode.md +++ b/docs/docs/distributed_mode.md @@ -20,7 +20,7 @@ First of all, you need to start a knowledge directory. The desired port number f ```bash cd knowledge-directory/target/ -java -Dorg.slf4j.simpleLogger.logFile=kd.log -cp "knowledge-directory-1.2.4.jar:dependency/*" eu.knowledge.engine.knowledgedirectory.Main 8080 +java -Dorg.slf4j.simpleLogger.logFile=kd.log -cp "knowledge-directory-1.2.5.jar:dependency/*" eu.knowledge.engine.knowledgedirectory.Main 8080 ``` The `nohup` command can be used to run the process in the background. On overview of the registered Knowledge Engine runtimes can be found on `http://localhost:8080/ker/` (or another host or port if you desire). @@ -43,7 +43,7 @@ export KD_URL=http://localhost:8080 export KE_RUNTIME_EXPOSED_URL=http://localhost:8081 export KE_RUNTIME_PORT=8081 -java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 +java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.5.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 ``` ### Using Basic Authentication to secure data exchange diff --git a/docs/docs/get-started/smart-connector.md b/docs/docs/get-started/smart-connector.md index e32d5580f..04ffb75ae 100644 --- a/docs/docs/get-started/smart-connector.md +++ b/docs/docs/get-started/smart-connector.md @@ -25,7 +25,7 @@ export KD_URL=http://localhost:8080 export KE_RUNTIME_EXPOSED_URL=http://localhost:8081 export KE_RUNTIME_PORT=8081 -java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 +java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.5.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 ``` diff --git a/docs/docs/quickstart.md b/docs/docs/quickstart.md index a48924a72..3c4248b7a 100644 --- a/docs/docs/quickstart.md +++ b/docs/docs/quickstart.md @@ -14,7 +14,7 @@ Start the Knowledge Directory on ports 8080: ```bash cd knowledge-directory/target/ -java -Dorg.slf4j.simpleLogger.logFile=kd.log -cp "knowledge-directory-1.2.4.jar:dependency/*" eu.knowledge.engine.knowledgedirectory.Main 8080 +java -Dorg.slf4j.simpleLogger.logFile=kd.log -cp "knowledge-directory-1.2.5.jar:dependency/*" eu.knowledge.engine.knowledgedirectory.Main 8080 ``` You can of course run the Knowledge Directory on another port by replacing 8080 by your preferred port number. @@ -27,7 +27,7 @@ export KD_URL=http://localhost:8080 export KE_RUNTIME_EXPOSED_URL=http://localhost:8081 export KE_RUNTIME_PORT=8081 -java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.4.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 +java -Dorg.slf4j.simpleLogger.logFile=ke.log -cp "smart-connector-rest-dist-1.2.5.jar:dependency/*" eu.knowledge.engine.rest.Main 8280 ``` ## Registering Knowledge Interactions \ No newline at end of file diff --git a/examples/authentication/docker-compose.yml b/examples/authentication/docker-compose.yml index 3ab012f5b..0c80a6972 100644 --- a/examples/authentication/docker-compose.yml +++ b/examples/authentication/docker-compose.yml @@ -9,15 +9,15 @@ services: depends_on: - knowledge-directory knowledge-directory: - image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.4 + image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.5 runtime-1: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KD_URL: http://thisisausername:thisisapassword@nginx/kd KE_RUNTIME_EXPOSED_URL: http://thisisausername:thisisapassword@nginx/ker1 runtime-2: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KD_URL: http://thisisausername:thisisapassword@nginx/kd diff --git a/examples/multiple-runtimes/docker-compose.yml b/examples/multiple-runtimes/docker-compose.yml index 4f266d432..9ad39497a 100644 --- a/examples/multiple-runtimes/docker-compose.yml +++ b/examples/multiple-runtimes/docker-compose.yml @@ -2,25 +2,25 @@ services: # This is the knowledge directory, facilitating discovery between different # runtimes. It exposes its service over port 8282. knowledge-directory: - image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.4 + image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.5 # These services are seperate Knowledge Engine runtime, which can host # multiple smart connectors. Note that the REST API port is a DIFFERENT port # number than the ones configured below. It is still the default 8280. runtime-1: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: http://runtime-1:8081 # The URL where the runtime is available for inter-runtime communication from the outside. KD_URL: http://knowledge-directory:8282 runtime-2: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 KE_RUNTIME_EXPOSED_URL: http://runtime-2:8081 KD_URL: http://knowledge-directory:8282 runtime-3: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 KE_RUNTIME_EXPOSED_URL: http://runtime-3:8081 diff --git a/examples/reasoner/docker-compose.yml b/examples/reasoner/docker-compose.yml index ab2749fa8..fc23e7bbb 100644 --- a/examples/reasoner/docker-compose.yml +++ b/examples/reasoner/docker-compose.yml @@ -1,6 +1,6 @@ services: knowledge-engine: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 kb1: build: ../common/asking_kb environment: diff --git a/examples/rest-api/docker-compose.yml b/examples/rest-api/docker-compose.yml index a61b2bf45..20783f8fb 100644 --- a/examples/rest-api/docker-compose.yml +++ b/examples/rest-api/docker-compose.yml @@ -1,6 +1,6 @@ services: knowledge-engine: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 healthcheck: test: curl -f http://localhost:8280/rest/sc interval: 1s diff --git a/examples/runtime-tests/docker-compose.yml b/examples/runtime-tests/docker-compose.yml index 7c36ae289..4f686f082 100644 --- a/examples/runtime-tests/docker-compose.yml +++ b/examples/runtime-tests/docker-compose.yml @@ -2,25 +2,25 @@ services: # This is the knowledge directory, facilitating discovery between different # runtimes. It exposes its service over port 8282. knowledge-directory: - image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.4 + image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.5 # These services are seperate Knowledge Engine runtime, which can host # multiple smart connectors. Note that the REST API port is a DIFFERENT port # number than the ones configured below. It is still the default 8280. runtime-1: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: http://runtime-1:8081 # The URL where the runtime is available for inter-runtime communication from the outside. KD_URL: http://knowledge-directory:8282 runtime-2: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 KE_RUNTIME_EXPOSED_URL: http://runtime-2:8081 KD_URL: http://knowledge-directory:8282 runtime-3: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 KE_RUNTIME_EXPOSED_URL: http://runtime-3:8081 @@ -83,7 +83,7 @@ services: } ] broken-1: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: runtime-3:8081 # The 'http://' part of the URL with a port is missing. @@ -102,7 +102,7 @@ services: KB_DATA: | [] broken-2: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: 3test.runtime.nl:8081 # The 'http://' part of the URL with a port is missing and the first character is numeric. @@ -121,7 +121,7 @@ services: KB_DATA: | [] broken-3: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: 3test.runtime.nl # The 'http://' part of the URL without a port is missing and the first character is numeric. @@ -140,7 +140,7 @@ services: KB_DATA: | [] broken-4: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: http://runtime-3:8081/ # The URL ends with a '/' @@ -159,7 +159,7 @@ services: KB_DATA: | [] broken-5: - image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.4 + image: ghcr.io/tno/knowledge-engine/smart-connector:1.2.5 environment: KE_RUNTIME_PORT: 8081 # The port that the KE uses to listen for inter-KE-runtime communication. KE_RUNTIME_EXPOSED_URL: runtime-3 # The 'http://' part of the URL without a port is missing. diff --git a/examples/unreachable-runtimes/docker-compose.yml b/examples/unreachable-runtimes/docker-compose.yml index 69856f676..35350aaec 100644 --- a/examples/unreachable-runtimes/docker-compose.yml +++ b/examples/unreachable-runtimes/docker-compose.yml @@ -2,7 +2,7 @@ services: # This is the knowledge directory, facilitating discovery between different # runtimes. It exposes its service over port 8282. knowledge-directory: - image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.4 + image: ghcr.io/tno/knowledge-engine/knowledge-directory:1.2.5 ports: - "8282:8282" diff --git a/pom.xml b/pom.xml index b0a6cd838..2a965715c 100644 --- a/pom.xml +++ b/pom.xml @@ -74,7 +74,7 @@ 17 17 17 - 1.2.5-SNAPSHOT + 1.2.5 diff --git a/smart-connector-rest-server/src/main/resources/openapi-sc.yaml b/smart-connector-rest-server/src/main/resources/openapi-sc.yaml index 9bb8f6185..7e36aa7e0 100644 --- a/smart-connector-rest-server/src/main/resources/openapi-sc.yaml +++ b/smart-connector-rest-server/src/main/resources/openapi-sc.yaml @@ -7,7 +7,7 @@ info: Interactions are (un)registered and data is exchanged. Each Smart Connector is coupled with a Knowledge Base Id, so every rest call uses this Knowledge Base Id to identify yourself. - version: 1.2.5-SNAPSHOT + version: 1.2.5 paths: /sc: From ca6968b42dd3dd0b8fc9cc79626f4f1cbbc14e27 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Mon, 17 Jun 2024 16:42:13 +0200 Subject: [PATCH 09/17] Prepare for snapshot --- admin-ui/src/main/resources/openapi-admin-ui.yaml | 2 +- pom.xml | 2 +- smart-connector-rest-server/src/main/resources/openapi-sc.yaml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/admin-ui/src/main/resources/openapi-admin-ui.yaml b/admin-ui/src/main/resources/openapi-admin-ui.yaml index 8c5ddb944..d23d291db 100644 --- a/admin-ui/src/main/resources/openapi-admin-ui.yaml +++ b/admin-ui/src/main/resources/openapi-admin-ui.yaml @@ -5,7 +5,7 @@ info: description: This API provides information on Knowledge Engine Runtimes (todo), Smart Connectors, Knowledge Bases, and Knowledge Interactions in a Knowledge Engine Network. - version: 1.2.5 + version: 1.2.6-SNAPSHOT paths: /rest/admin/sc/all/{include-meta}: diff --git a/pom.xml b/pom.xml index 2a965715c..2fb579c77 100644 --- a/pom.xml +++ b/pom.xml @@ -74,7 +74,7 @@ 17 17 17 - 1.2.5 + 1.2.6-SNAPSHOT diff --git a/smart-connector-rest-server/src/main/resources/openapi-sc.yaml b/smart-connector-rest-server/src/main/resources/openapi-sc.yaml index 7e36aa7e0..d93b01532 100644 --- a/smart-connector-rest-server/src/main/resources/openapi-sc.yaml +++ b/smart-connector-rest-server/src/main/resources/openapi-sc.yaml @@ -7,7 +7,7 @@ info: Interactions are (un)registered and data is exchanged. Each Smart Connector is coupled with a Knowledge Base Id, so every rest call uses this Knowledge Base Id to identify yourself. - version: 1.2.5 + version: 1.2.6-SNAPSHOT paths: /sc: From 9cb907950b6ce9c00d92ebb83bb930f0a4960fa4 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Tue, 18 Jun 2024 13:38:19 +0200 Subject: [PATCH 10/17] Add two necessary jersey dependencies. --- smart-connector/pom.xml | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/smart-connector/pom.xml b/smart-connector/pom.xml index f42080d1c..9559b7396 100644 --- a/smart-connector/pom.xml +++ b/smart-connector/pom.xml @@ -124,11 +124,17 @@ ${jackson-version} - + org.glassfish.jersey.containers jersey-container-servlet-core ${jersey3-version} - --> + + + org.glassfish.jersey.inject + jersey-hk2 + ${jersey3-version} + From 5fa5a6802ec464871c88a86c971a9aa275bb7936 Mon Sep 17 00:00:00 2001 From: bnouwt <97681626+bnouwt@users.noreply.github.com> Date: Tue, 9 Jul 2024 20:40:22 +0200 Subject: [PATCH 11/17] Update faq.md --- docs/docs/faq.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/docs/faq.md b/docs/docs/faq.md index f246320f0..bdff72aee 100644 --- a/docs/docs/faq.md +++ b/docs/docs/faq.md @@ -397,3 +397,6 @@ I guess my question is more specifically: “Will the compliance checker look at *Question*: The result of my POST contains the following failed message in its ExchangeInfo: "java.lang.IllegalArgumentException: KB gave outgoing binding Binding [...], but this doesn't have a matching incoming binding!". What does this mean? - *Answer*: The reason this error is given, is the following: REACT KIs that contain both an argument and result graph pattern and these two graph patterns share a variable name, the knowledge engine expects all values for this variable in the result binding set to also occur as a value of the variable in the argument binding set. This has to do with how these graph patterns are internally used to form if … then … rules. If this is not the case, it gives the above failedMessage. If this shared variable in the argument and result graph patterns is intended to be the same, make sure you align the values of this variable in the result binding set with the values of this variable in the argument binding set. If the variable is not intended to be the same thing, you can rename one of them to prevent the knowledge engine to expect them to share values. + +*Question*: There is an existing Knowledge Network with a Knowledge Directory (KD) and multiple Knowledge Engine Runtimes (KERs). How do I setup my own KER and configure it such that it participates in the existing Knowledge Network? +- *Answer*: Every Knowledge Engine Runtime (KER) in distributed mode consists of two APIs: [Knowledge Engine Developer REST API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector-rest-server/src/main/resources/openapi-sc.yaml) and the [Inter-Knowledge Engine Runtime API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector/src/main/resources/openapi-inter-ker.yaml). The former is started on port `8280` by default and you use this API to register your Knowledge Base and Knowledge Interactions. The latter API is meant for internal communication between KERs and you do not need to use it yourself. However, you do need to make sure this API is reachable for other KERs in the Knowledge Network. By default this API is available on port 8081, but sometimes you need to change this port using the `KE_RUNTIME_PORT` environment variable. Make sure the latter API of your KER is accessible from the internet and configure its URL when starting the KER with the `KE_RUNTIME_EXPOSED_URL` environment variable. To set this up correctly, you typically install a reverse proxy like NGNIX and open the correct ports in the firewall of the server. For this you need to contact the administrator of the server you are using. A KER starts in distributed mode when it detects the `KD_URL` environment variable. This variable points to the Knowledge Directory of the Knowledge Network. You can configure it using environment variables `KD_URL=`. If the Knowledge Directory is protected using Basic Authentication, you can add the credentials to the KD_URL as described [here](https://stackoverflow.com/a/50528734). From 0c85121e15f6be4e5d0b9b976166a9fde0735876 Mon Sep 17 00:00:00 2001 From: bnouwt <97681626+bnouwt@users.noreply.github.com> Date: Tue, 9 Jul 2024 21:02:44 +0200 Subject: [PATCH 12/17] Update faq.md --- docs/docs/faq.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/docs/faq.md b/docs/docs/faq.md index bdff72aee..d80029acd 100644 --- a/docs/docs/faq.md +++ b/docs/docs/faq.md @@ -400,3 +400,6 @@ I guess my question is more specifically: “Will the compliance checker look at *Question*: There is an existing Knowledge Network with a Knowledge Directory (KD) and multiple Knowledge Engine Runtimes (KERs). How do I setup my own KER and configure it such that it participates in the existing Knowledge Network? - *Answer*: Every Knowledge Engine Runtime (KER) in distributed mode consists of two APIs: [Knowledge Engine Developer REST API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector-rest-server/src/main/resources/openapi-sc.yaml) and the [Inter-Knowledge Engine Runtime API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector/src/main/resources/openapi-inter-ker.yaml). The former is started on port `8280` by default and you use this API to register your Knowledge Base and Knowledge Interactions. The latter API is meant for internal communication between KERs and you do not need to use it yourself. However, you do need to make sure this API is reachable for other KERs in the Knowledge Network. By default this API is available on port 8081, but sometimes you need to change this port using the `KE_RUNTIME_PORT` environment variable. Make sure the latter API of your KER is accessible from the internet and configure its URL when starting the KER with the `KE_RUNTIME_EXPOSED_URL` environment variable. To set this up correctly, you typically install a reverse proxy like NGNIX and open the correct ports in the firewall of the server. For this you need to contact the administrator of the server you are using. A KER starts in distributed mode when it detects the `KD_URL` environment variable. This variable points to the Knowledge Directory of the Knowledge Network. You can configure it using environment variables `KD_URL=`. If the Knowledge Directory is protected using Basic Authentication, you can add the credentials to the KD_URL as described [here](https://stackoverflow.com/a/50528734). + +*Question*: There is an existing Knowledge Engine Runtime (KER) that I want to use to develop a knowledge base. How do I connect to this KER? +- *Answer*: To connect to the existing KER you need to know and have access to the KER's [Knowledge Engine REST Developer API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector-rest-server/src/main/resources/openapi-sc.yaml). If you have the URL of the KER you want to use, you can test it by activating its `GET /sc` operation via the browser with an URL that looks like this: `/sc` (if the KER is protected with Basic Authentication your browser might ask you for credentials, you can also put the credentials directly into the URL as user info). This operation returns JSON with all the Knowledge Bases (KBs) that are registered with that KER (if there are none, it returns an empty JSON array `[]`). If you run a KER on your own computer (for example using the provided docker image), the `` would typically be `http://localhost:8280`. Now that you tested the KER, you can use the `` to register your KB and Knowledge Interactions (KIs) by activating the different operations that are described in the Open API specification above. From 963eed6ddf611cfdd830d3cc65e2c971d3f0c3ed Mon Sep 17 00:00:00 2001 From: bnouwt <97681626+bnouwt@users.noreply.github.com> Date: Wed, 10 Jul 2024 09:08:18 +0200 Subject: [PATCH 13/17] Update faq.md --- docs/docs/faq.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/faq.md b/docs/docs/faq.md index d80029acd..909367ec2 100644 --- a/docs/docs/faq.md +++ b/docs/docs/faq.md @@ -401,5 +401,5 @@ I guess my question is more specifically: “Will the compliance checker look at *Question*: There is an existing Knowledge Network with a Knowledge Directory (KD) and multiple Knowledge Engine Runtimes (KERs). How do I setup my own KER and configure it such that it participates in the existing Knowledge Network? - *Answer*: Every Knowledge Engine Runtime (KER) in distributed mode consists of two APIs: [Knowledge Engine Developer REST API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector-rest-server/src/main/resources/openapi-sc.yaml) and the [Inter-Knowledge Engine Runtime API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector/src/main/resources/openapi-inter-ker.yaml). The former is started on port `8280` by default and you use this API to register your Knowledge Base and Knowledge Interactions. The latter API is meant for internal communication between KERs and you do not need to use it yourself. However, you do need to make sure this API is reachable for other KERs in the Knowledge Network. By default this API is available on port 8081, but sometimes you need to change this port using the `KE_RUNTIME_PORT` environment variable. Make sure the latter API of your KER is accessible from the internet and configure its URL when starting the KER with the `KE_RUNTIME_EXPOSED_URL` environment variable. To set this up correctly, you typically install a reverse proxy like NGNIX and open the correct ports in the firewall of the server. For this you need to contact the administrator of the server you are using. A KER starts in distributed mode when it detects the `KD_URL` environment variable. This variable points to the Knowledge Directory of the Knowledge Network. You can configure it using environment variables `KD_URL=`. If the Knowledge Directory is protected using Basic Authentication, you can add the credentials to the KD_URL as described [here](https://stackoverflow.com/a/50528734). -*Question*: There is an existing Knowledge Engine Runtime (KER) that I want to use to develop a knowledge base. How do I connect to this KER? +*Question*: There is an existing Knowledge Engine Runtime (KER) that I want to use to develop a knowledge base. How do I connect to this KER? - *Answer*: To connect to the existing KER you need to know and have access to the KER's [Knowledge Engine REST Developer API](https://github.com/TNO/knowledge-engine/blob/1.2.5/smart-connector-rest-server/src/main/resources/openapi-sc.yaml). If you have the URL of the KER you want to use, you can test it by activating its `GET /sc` operation via the browser with an URL that looks like this: `/sc` (if the KER is protected with Basic Authentication your browser might ask you for credentials, you can also put the credentials directly into the URL as user info). This operation returns JSON with all the Knowledge Bases (KBs) that are registered with that KER (if there are none, it returns an empty JSON array `[]`). If you run a KER on your own computer (for example using the provided docker image), the `` would typically be `http://localhost:8280`. Now that you tested the KER, you can use the `` to register your KB and Knowledge Interactions (KIs) by activating the different operations that are described in the Open API specification above. From bbb431466697f554bdc990c29f073b8dc741a608 Mon Sep 17 00:00:00 2001 From: nouwtb Date: Thu, 15 Aug 2024 16:35:16 +0200 Subject: [PATCH 14/17] Add a new tests that illustrates the improvements made with the matcher. --- .../engine/reasoner/api/TriplePattern.java | 7 +- .../api/TestComplexGraphPatternMatching.java | 478 ++++++++++++++++++ .../engine/smartconnector/api/TestUtils.java | 90 ++-- 3 files changed, 530 insertions(+), 45 deletions(-) create mode 100644 smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java diff --git a/reasoner/src/main/java/eu/knowledge/engine/reasoner/api/TriplePattern.java b/reasoner/src/main/java/eu/knowledge/engine/reasoner/api/TriplePattern.java index ca6c2afca..f631f3877 100644 --- a/reasoner/src/main/java/eu/knowledge/engine/reasoner/api/TriplePattern.java +++ b/reasoner/src/main/java/eu/knowledge/engine/reasoner/api/TriplePattern.java @@ -8,6 +8,7 @@ import org.apache.jena.graph.Node; import org.apache.jena.graph.Triple; +import org.apache.jena.shared.PrefixMapping; import org.apache.jena.sparql.core.Var; import org.apache.jena.sparql.graph.PrefixMappingZero; import org.apache.jena.sparql.sse.SSE; @@ -26,7 +27,11 @@ public TriplePattern(Node subject, Node predicate, Node object) { } public TriplePattern(String string) { - Triple t = SSE.parseTriple("(" + string + ")", new PrefixMappingZero()); + this(new PrefixMappingZero(), string); + } + + public TriplePattern(PrefixMapping prefixes, String aPattern) { + Triple t = SSE.parseTriple("(" + aPattern + ")", prefixes); this.subject = t.getSubject(); this.predicate = t.getPredicate(); this.object = t.getObject(); diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java new file mode 100644 index 000000000..e9cfc9022 --- /dev/null +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java @@ -0,0 +1,478 @@ +package eu.knowledge.engine.smartconnector.api; + +import static org.junit.jupiter.api.Assertions.assertEquals; +import static org.junit.jupiter.api.Assertions.fail; + +import java.math.BigDecimal; +import java.net.URI; +import java.util.Arrays; +import java.util.HashSet; +import java.util.Set; +import java.util.concurrent.BrokenBarrierException; +import java.util.concurrent.CompletableFuture; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.TimeoutException; +import java.util.stream.Collectors; + +import org.apache.jena.graph.Node; +import org.apache.jena.shared.PrefixMapping; +import org.apache.jena.sparql.core.Var; +import org.apache.jena.sparql.graph.PrefixMappingMem; +import org.apache.jena.sparql.graph.PrefixMappingZero; +import org.apache.jena.sparql.util.FmtUtils; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.BeforeAll; +import org.junit.jupiter.api.Disabled; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import eu.knowledge.engine.reasoner.Rule; +import eu.knowledge.engine.reasoner.TransformBindingSetHandler; +import eu.knowledge.engine.reasoner.api.TripleNode; +import eu.knowledge.engine.reasoner.api.TriplePattern; +import eu.knowledge.engine.reasoner.api.TripleVarBinding; +import eu.knowledge.engine.reasoner.api.TripleVarBindingSet; +import eu.knowledge.engine.smartconnector.impl.Util; +import eu.knowledge.engine.smartconnector.util.KnowledgeNetwork; +import eu.knowledge.engine.smartconnector.util.MockedKnowledgeBase; + +//@Disabled +public class TestComplexGraphPatternMatching { + + private static final Logger LOG = LoggerFactory.getLogger(TestComplexGraphPatternMatching.class); + + private static MockedKnowledgeBase devicesKB; + private static MockedKnowledgeBase dashboardKB; + private static MockedKnowledgeBase observationsKB; + + @BeforeAll + public static void setup() throws InterruptedException, BrokenBarrierException, TimeoutException { + } + + @Test + public void testComplexGraphPattern() throws InterruptedException { + + PrefixMappingMem prefixes = new PrefixMappingMem(); + prefixes.setNsPrefixes(PrefixMapping.Standard); + prefixes.setNsPrefix("ex", "https://www.tno.nl/example/"); + prefixes.setNsPrefix("saref", "https://saref.etsi.org/core/"); + + var kn = new KnowledgeNetwork(); + + createDevicesKB(prefixes, kn); + createObservationsKB(prefixes, kn); + AskKnowledgeInteraction askKI = createDashboardKB(prefixes, kn); + LOG.info("Waiting until everyone is up-to-date!"); + kn.sync(); + LOG.info("Everyone is up-to-date!"); + + // start testing! + BindingSet bindings = null; + AskResult result = null; + try { + LOG.trace("Before ask."); + + AskPlan askPlan = dashboardKB.planAsk(askKI, new RecipientSelector()); + + LOG.info("Gaps: {}", Util.getKnowledgeGaps(askPlan.getReasonerPlan().getStartNode())); + + askPlan.getReasonerPlan().getStore().printGraphVizCode(askPlan.getReasonerPlan()); + + result = askPlan.execute(new BindingSet()).get(); + + int max = 0; + TripleVarBindingSet bindingSet = askPlan.getReasonerPlan().getStartNode().getResultBindingSetInput(); + for (TripleVarBinding tvb : bindingSet.getBindings()) { + + int size = tvb.getTripleVars().size(); + + LOG.info("TripleVar size: {}", size); + if (size == 47) { + + LOG.info("TVB: {}", tvb.toBinding()); + + Set aSet = new HashSet<>(); + for (TripleNode tn : tvb.getTripleVars()) { + aSet.add(tn.tp); + } + +// assertEquals(bindingSet.getGraphPattern(), aSet); + + findMissingVars(bindingSet.getGraphPattern(), tvb); + } + } + LOG.info("Max: {}", max); + + bindings = result.getBindings(); + LOG.trace("After ask."); + + Set kbIds = result.getExchangeInfoPerKnowledgeBase().stream().map(AskExchangeInfo::getKnowledgeBaseId) + .collect(Collectors.toSet()); + + assertEquals( + new HashSet( + Arrays.asList(devicesKB.getKnowledgeBaseId(), observationsKB.getKnowledgeBaseId())), + kbIds, "The result should come from observationsKB and devicesKB not: " + kbIds); + + assertEquals(1, bindings.size()); + + } catch (InterruptedException | ExecutionException e) { + fail(); + } + } + + public void findMissingVars(Set gp, TripleVarBinding tvb) { + + for (TriplePattern tp : gp) { + + Node subjectN = null; + if (tp.getSubject() instanceof Var) { + subjectN = tvb.get(new TripleNode(tp, tp.getSubject(), 0)); + if (subjectN == null) { + LOG.info("{}", tp); + continue; + } + } + + Node predicateN = null; + if (tp.getPredicate() instanceof Var) { + predicateN = tvb.get(new TripleNode(tp, tp.getPredicate(), 1)); + if (predicateN == null) { + LOG.info("{}", tp); + continue; + } + } + + Node objectN = null; + if (tp.getObject() instanceof Var) { + objectN = tvb.get(new TripleNode(tp, tp.getObject(), 2)); + if (objectN == null) { + LOG.info("{}", tp); + continue; + } + } + } + + } + + private AskKnowledgeInteraction createDashboardKB(PrefixMappingMem prefixes, KnowledgeNetwork kn) { + + dashboardKB = new MockedKnowledgeBase("dashboardKB"); + dashboardKB.setReasonerEnabled(true); + kn.addKB(dashboardKB); + + String gp = """ + ?x ex:locatedIn ?y . + ?y ex:locatedIn ?z . + """; + Set antecedent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + gp = """ + ?x ex:locatedIn ?z . + """; + Set consequent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + Rule locatedInRule = new Rule(antecedent, consequent); + + gp = """ + ?p rdf:type saref:Thermostat . + """; + antecedent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + gp = """ + ?p rdf:type saref:Sensor . + """; + consequent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + Rule thermostatSensorRule = new Rule(antecedent, consequent); + + gp = """ + ?p rdf:type saref:OpenCloseSensor . + """; + antecedent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + gp = """ + ?p rdf:type saref:Sensor . + """; + consequent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + Rule opencloseSensorRule = new Rule(antecedent, consequent); + + gp = """ + ?r saref:hasPropertyValue ?p1 . + ?p1 rdf:type saref:PropertyValue . + ?p1 saref:isMeasuredIn . + ?p1 saref:hasValue ?v1 . + """; + antecedent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + gp = """ + ?r saref:hasPropertyValue ?p2 . + ?p2 rdf:type saref:PropertyValue . + ?p2 saref:isMeasuredIn . + ?p2 saref:hasValue ?v2 . + """; + consequent = new HashSet<>(TestUtils.toGP(prefixes, gp)); + Rule fahrenheitConverterRule = new Rule(antecedent, consequent, new TransformBindingSetHandler() { + + @Override + public CompletableFuture handle( + eu.knowledge.engine.reasoner.api.BindingSet bs) { + eu.knowledge.engine.reasoner.api.BindingSet bindingSet = new eu.knowledge.engine.reasoner.api.BindingSet(); + eu.knowledge.engine.reasoner.api.Binding binding = new eu.knowledge.engine.reasoner.api.Binding(); + for (eu.knowledge.engine.reasoner.api.Binding b : bs) { + Object fahrenheitObj = b.get("v1").getLiteralValue(); + Float fahrenheit = null; + if (fahrenheitObj instanceof BigDecimal) { + fahrenheit = (Float) ((BigDecimal) fahrenheitObj).floatValue(); + } else if (fahrenheitObj instanceof Integer) { + fahrenheit = (float) ((int) fahrenheitObj); + } else { + fahrenheit = (Float) fahrenheitObj; + } + LOG.info("Converting fahrenheit '{}' to celcius.", fahrenheit); + binding.put("v2", "\"" + convert(fahrenheit) + "\"^^"); + binding.put("p2", + FmtUtils.stringForNode(b.get("p1"), new PrefixMappingZero()).replace(">", "_new>")); + bindingSet.add(binding); + } + + CompletableFuture future = new CompletableFuture<>(); + + future.handle((r, e) -> { + + if (r == null) { + LOG.error("An exception has occured in Celsius <-> Fahrenheit test", e); + return null; + } else { + return r; + } + }); + future.complete(bindingSet); + return future; + } + + public float convert(float fahrenheit) { + return ((fahrenheit - 32) * 5) / 9; + } + + }); + + String pattern = """ + ?device rdf:type saref:Sensor . + ?device ex:releaseDate ?releaseDate . + ?device ex:owner ?owner . + ?device ex:purchasePrice ?price . + ?device ex:latitude ?lat . + ?device ex:longitude ?lon . + ?device ex:height ?height . + ?device ex:locatedIn . + ?device ex:manufacturer ?manufacturer. + ?device rdfs:label ?label . + ?device rdfs:comment ?comment . + ?device ex:propA ?propA . + ?device ex:propB ?propB . + ?device ex:propC ?propC . + ?device ex:propD ?propD . + ?device ex:propE ?propE . + ?device ex:propF ?propF . + ?device ex:propG ?propG . + ?device ex:propH ?propH . + ?obs rdf:type saref:Observation . + ?obs saref:madeBy ?device . + ?obs saref:hasTimestamp ?timestamp . + ?obs saref:hasResult ?result . + ?result saref:hasPropertyValue ?propVal . + ?propVal rdf:type saref:PropertyValue . + ?propVal saref:hasValue ?val . + ?propVal saref:isMeasuredIn . + + """; + // ?propVal saref:isMeasuredIn . + + GraphPattern gp2 = new GraphPattern(prefixes, TestUtils.convertGP(pattern)); + AskKnowledgeInteraction askKI = new AskKnowledgeInteraction(new CommunicativeAct(), gp2); + dashboardKB.setDomainKnowledge(new HashSet<>( + Arrays.asList(locatedInRule, thermostatSensorRule, opencloseSensorRule, fahrenheitConverterRule))); + dashboardKB.register(askKI); + return askKI; + } + + private void createDevicesKB(PrefixMappingMem prefixes, KnowledgeNetwork kn) { + devicesKB = new MockedKnowledgeBase("devicesKB"); + devicesKB.setReasonerEnabled(true); + kn.addKB(devicesKB); + GraphPattern gp1 = new GraphPattern(prefixes, TestUtils.convertGP(""" + ?d rdf:type ?type . + ?d rdfs:label ?l . + ?d rdfs:comment ?c . + ?d ex:manufacturer ?m . + ?d ex:locatedIn ?b . + ?d ex:releaseDate ?r . + ?d ex:owner ?o . + ?d ex:purchasePrice ?p . + ?d ex:latitude ?lat . + ?d ex:longitude ?lon . + ?d ex:height ?h . + ?d ex:propA ?propA . + ?d ex:propB ?propB . + ?d ex:propC ?propC . + ?d ex:propD ?propD . + ?d ex:propE ?propE . + ?d ex:propF ?propF . + ?d ex:propG ?propG . + ?d ex:propH ?propH . + """)); + AnswerKnowledgeInteraction aKI = new AnswerKnowledgeInteraction(new CommunicativeAct(), gp1); + devicesKB.register(aKI, (AnswerHandler) (anAKI, anAnswerExchangeInfo) -> { + + BindingSet bindingSet = new BindingSet(); + Binding binding = new Binding(); + +// binding.put("type", ""); + binding.put("type", ""); + binding.put("d", ""); + binding.put("l", "\"Thermostat 1\""); + binding.put("c", "\"The thermostat in the bathroom.\""); + binding.put("m", "\"Philips\""); + binding.put("b", ""); + binding.put("r", "\"2018-04-09T10:00:00Z\"^^xsd:dateTime"); + binding.put("o", "\"Jan Treurning\""); + binding.put("p", "\"EUR432\""); + binding.put("lat", "\"52.5939466\""); + binding.put("lon", "\"6.3671058\""); + binding.put("h", "\"234cm\""); + binding.put("propA", ""); + binding.put("propB", ""); + binding.put("propC", ""); + binding.put("propD", ""); + binding.put("propE", ""); + binding.put("propF", ""); + binding.put("propG", ""); + binding.put("propH", ""); + bindingSet.add(binding); + + binding = new Binding(); +// binding.put("type", ""); + binding.put("type", ""); + binding.put("d", ""); + binding.put("l", "\"Open Close Sensor 1\""); + binding.put("c", "\"The open close sensor of the front door.\""); + binding.put("m", "\"Monnit\""); + binding.put("b", ""); + binding.put("r", "\"2020-01-02T21:35:00Z\"^^xsd:dateTime"); + binding.put("o", "\"Jan Treurning\""); + binding.put("p", "\"EUR1481.55\""); + binding.put("lat", "\"52.5939466\""); + binding.put("lon", "\"6.3671058\""); + binding.put("h", "\"104cm\""); + binding.put("propA", ""); + binding.put("propB", ""); + binding.put("propC", ""); + binding.put("propD", ""); + binding.put("propE", ""); + binding.put("propF", ""); + binding.put("propG", ""); + binding.put("propH", ""); + bindingSet.add(binding); + + Util.removeRedundantBindingsAnswer(anAnswerExchangeInfo.getIncomingBindings(), bindingSet); + + return bindingSet; + }); + + GraphPattern gp2 = new GraphPattern(prefixes, TestUtils.convertGP(""" + ?x ex:locatedIn ?y . + """)); + AnswerKnowledgeInteraction aKI2 = new AnswerKnowledgeInteraction(new CommunicativeAct(), gp2); + devicesKB.register(aKI2, (AnswerHandler) (anAKI, anAnswerExchangeInfo) -> { + + BindingSet bindingSet = new BindingSet(); + Binding binding = new Binding(); + binding.put("x", ""); + binding.put("y", ""); + bindingSet.add(binding); + + binding = new Binding(); + binding.put("x", ""); + binding.put("y", ""); + bindingSet.add(binding); + + binding = new Binding(); + binding.put("x", ""); + binding.put("y", ""); + bindingSet.add(binding); + + binding = new Binding(); + binding.put("x", ""); + binding.put("y", ""); + bindingSet.add(binding); + + Util.removeRedundantBindingsAnswer(anAnswerExchangeInfo.getIncomingBindings(), bindingSet); + + return bindingSet; + }); + } + + private void createObservationsKB(PrefixMappingMem prefixes, KnowledgeNetwork kn) { + observationsKB = new MockedKnowledgeBase("observationsKB"); + observationsKB.setReasonerEnabled(true); + kn.addKB(observationsKB); + + GraphPattern gp12 = new GraphPattern(prefixes, TestUtils.convertGP(""" + ?obs rdf:type saref:Observation . + ?obs saref:madeBy ?device . + ?obs saref:hasTimestamp ?timestamp . + ?obs saref:hasResult ?result . + ?result saref:hasPropertyValue ?propVal . + ?propVal rdf:type saref:PropertyValue . + ?propVal saref:hasValue ?val . + ?propVal saref:isMeasuredIn ?prop . + """)); + AnswerKnowledgeInteraction aKI12 = new AnswerKnowledgeInteraction(new CommunicativeAct(), gp12); + observationsKB.register(aKI12, (AnswerHandler) (anAKI, anAnswerExchangeInfo) -> { + + BindingSet bindingSet = new BindingSet(); + + Binding binding = new Binding(); + binding.put("obs", ""); + binding.put("device", ""); + binding.put("timestamp", "\"2024-08-013T09:30:00Z\"^^xsd:dateTime"); + binding.put("result", ""); + binding.put("propVal", ""); + binding.put("val", ""); + binding.put("prop", ""); + bindingSet.add(binding); + + binding = new Binding(); + binding.put("obs", ""); + binding.put("device", ""); + binding.put("timestamp", "\"2024-08-013T09:45:00Z\"^^xsd:dateTime"); + binding.put("result", ""); + binding.put("propVal", ""); + binding.put("val", "\"69.0\"^^"); + binding.put("prop", ""); + bindingSet.add(binding); + Util.removeRedundantBindingsAnswer(anAnswerExchangeInfo.getIncomingBindings(), bindingSet); + return bindingSet; + }); + } + + @AfterAll + public static void cleanup() { + LOG.info("Clean up: {}", TestComplexGraphPatternMatching.class.getSimpleName()); + if (devicesKB != null) { + devicesKB.stop(); + } else { + fail("KB1 should not be null!"); + } + + if (dashboardKB != null) { + + dashboardKB.stop(); + } else { + fail("KB2 should not be null!"); + } + + if (observationsKB != null) { + observationsKB.stop(); + } else { + fail("KB3 should not be null!"); + } + + } +} diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestUtils.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestUtils.java index 04b19b7f9..8800f9bdb 100644 --- a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestUtils.java +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestUtils.java @@ -17,6 +17,7 @@ import org.apache.jena.graph.Node; import org.apache.jena.shared.PrefixMapping; import org.apache.jena.sparql.core.Var; +import org.apache.jena.sparql.graph.PrefixMappingZero; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -46,50 +47,6 @@ public class TestUtils { private static final String KE_PREFIX = "https://www.interconnectproject.eu/"; - public static final SmartConnector getSmartConnector(final String aName) { - return SmartConnectorBuilder.newSmartConnector(new KnowledgeBase() { - - @Override - public URI getKnowledgeBaseId() { - URI uri = null; - try { - uri = new URI(KE_PREFIX + aName); - } catch (URISyntaxException e) { - LOG.error("Could not parse the uri.", e); - } - return uri; - } - - @Override - public String getKnowledgeBaseDescription() { - return null; - } - - @Override - public void smartConnectorReady(SmartConnector aSC) { - } - - @Override - public void smartConnectorConnectionLost(SmartConnector aSC) { - } - - @Override - public void smartConnectorConnectionRestored(SmartConnector aSC) { - } - - @Override - public String getKnowledgeBaseName() { - return null; - } - - @Override - public void smartConnectorStopped(SmartConnector aSC) { - // TODO Auto-generated method stub - - } - }).create(); - } - public static final Set getSingleBinding(String name, String value) { Set bindings = new HashSet<>(); Binding b = new Binding(); @@ -434,6 +391,51 @@ private static String convertGP(PrefixMapping prefixes, Set aGrap return sb.toString(); } + public static String[] convertGP(String multiLineString) { + var set = new HashSet(); + String[] lines = multiLineString.split("\n"); + + for (String line : lines) { + + if (!line.isEmpty()) { + set.add(line); + } + } + + return set.toArray(new String[0]); + } + + /** + * parses every line of the string into a triple pattern and combines them into + * a set. Note that if it ends with a period (.) it will be removed. + * + * @param gp + * @return + */ + public static Set toGP(PrefixMapping prefixes, String gp) { + + var set = new HashSet(); + String[] lines = gp.split("\n"); + + for (String line : lines) { + + String trimmed = line.strip(); + if (trimmed.endsWith(".")) + trimmed = trimmed.substring(0, trimmed.length() - 2); + + if (!trimmed.isEmpty()) { + System.out.println("line: " + trimmed); + set.add(new TriplePattern(prefixes, trimmed)); + } + } + + return set; + } + + public static Set toGP(String gp) { + return toGP(new PrefixMappingZero(), gp); + } + private static String convertBindingSet(PrefixMapping prefixes, eu.knowledge.engine.reasoner.api.BindingSet toFromHandler) { From f1cba8b642692d7164482a1bb09d3425f873c5dc Mon Sep 17 00:00:00 2001 From: nouwtb Date: Thu, 15 Aug 2024 16:41:19 +0200 Subject: [PATCH 15/17] Disable test by default. --- .../smartconnector/api/TestComplexGraphPatternMatching.java | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java index e9cfc9022..75648df84 100644 --- a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/TestComplexGraphPatternMatching.java @@ -37,7 +37,7 @@ import eu.knowledge.engine.smartconnector.util.KnowledgeNetwork; import eu.knowledge.engine.smartconnector.util.MockedKnowledgeBase; -//@Disabled +@Disabled public class TestComplexGraphPatternMatching { private static final Logger LOG = LoggerFactory.getLogger(TestComplexGraphPatternMatching.class); From 9f6bf9bc0b4874c84fe060e2ae6cc7f820f6e335 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Tue, 9 Apr 2024 18:06:52 +0200 Subject: [PATCH 16/17] Add unit test for reasoner video. --- .../api/GeneralizeIfNecessaryTest.java | 158 ++++++++++++++++++ 1 file changed, 158 insertions(+) create mode 100644 smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java new file mode 100644 index 000000000..d6c8c2fdf --- /dev/null +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java @@ -0,0 +1,158 @@ +package eu.knowledge.engine.smartconnector.api; + +import static org.junit.jupiter.api.Assertions.assertTrue; + +import java.util.Arrays; +import java.util.HashSet; +import java.util.Iterator; +import java.util.concurrent.CountDownLatch; +import java.util.concurrent.ExecutionException; +import java.util.concurrent.TimeUnit; + +import org.apache.jena.shared.PrefixMapping; +import org.apache.jena.sparql.graph.PrefixMappingMem; +import org.junit.jupiter.api.AfterAll; +import org.junit.jupiter.api.Test; +import org.slf4j.Logger; +import org.slf4j.LoggerFactory; + +import eu.knowledge.engine.reasoner.Rule; +import eu.knowledge.engine.reasoner.api.TriplePattern; +import eu.knowledge.engine.smartconnector.util.KnowledgeNetwork; +import eu.knowledge.engine.smartconnector.util.MockedKnowledgeBase; + +/** + * This test tries to illustrate forward compatibility. We instantiate an + * App KB and a Lamp1 KB that exchange data about the on/off state of the lamp. + * When a new Lamp2 KB is introduced that does not support on/off because it is + * dimmable, we should how the reasoner+domain knowledge combination is able to + * make the app work with the new dimmable type of lamp although it was not + * designed to work with those types. + * + * @author nouwtb + * + */ +public class GeneralizeIfNecessaryTest { + + private static final Logger LOG = LoggerFactory.getLogger(GeneralizeIfNecessaryTest.class); + + private static KnowledgeNetwork kn = new KnowledgeNetwork(); + private MockedKnowledgeBase appKb = new MockedKnowledgeBase("AppKB"); + private MockedKnowledgeBase sensor1Kb = new MockedKnowledgeBase("Sensor1KB"); + private MockedKnowledgeBase sensor2Kb = new MockedKnowledgeBase("Sensor2KB"); + private MockedKnowledgeBase floorplanKb = new MockedKnowledgeBase("FloorplanKB"); + private PrefixMapping prefixes = new PrefixMappingMem().setNsPrefix("ex", "http://example.org/").setNsPrefix("rdf", + "http://www.w3.org/1999/02/22-rdf-syntax-ns#"); + + @Test + public void test() throws InterruptedException, ExecutionException { + + kn.addKB(appKb); + this.appKb.setReasonerEnabled(true); + kn.addKB(sensor1Kb); + kn.addKB(sensor2Kb); + kn.addKB(floorplanKb); + + AskKnowledgeInteraction appKbAsk = configureAppKb(); + configureSensor1Kb(); + configureSensor2Kb(); + configureFloorplanKb(); + + kn.sync(); + + BindingSet argument = new BindingSet(); + Binding binding = new Binding(); + argument.add(binding); + AskPlan pp = appKb.planAsk(appKbAsk, new RecipientSelector()); + + pp.getReasonerPlan().getStore().printGraphVizCode(pp.getReasonerPlan()); + AskResult result = pp.execute(argument).get(); + + LOG.info("Result bindings: {}", result.getBindings()); + + } + + private AskKnowledgeInteraction configureAppKb() { + GraphPattern appGP = new GraphPattern(prefixes, + "?s rdf:type ex:Sensor . ?s ex:isPartOf ex:building1 . ?s ex:hasLatestValue ?value ."); + AskKnowledgeInteraction appKbAsk = new AskKnowledgeInteraction(new CommunicativeAct(), appGP); + appKb.register(appKbAsk); + + HashSet rule1ant = new HashSet<>( + Arrays.asList(new TriplePattern("?x ?y"), + new TriplePattern("?y ?z"))); + HashSet rule1con = new HashSet<>( + Arrays.asList(new TriplePattern("?x ?z"))); + + Rule rule1 = new Rule(rule1ant, rule1con); + appKb.setDomainKnowledge(new HashSet<>(Arrays.asList(rule1))); + + return appKbAsk; + } + + private void configureSensor1Kb() { + GraphPattern sensor1GP = new GraphPattern(prefixes, + "ex:sensor1 rdf:type ex:Sensor . ex:sensor1 ex:isPartOf ex:room1 . ex:sensor1 ex:hasLatestValue ?value ."); + + AnswerKnowledgeInteraction sensor1KbAnswer = new AnswerKnowledgeInteraction(new CommunicativeAct(), sensor1GP); + sensor1Kb.register(sensor1KbAnswer, (AnswerHandler) (aKI, aAnswerInfo) -> { + BindingSet bs = new BindingSet(); + Binding b = new Binding(); + b.put("value", "10"); + bs.add(b); + return bs; + }); + } + + private void configureSensor2Kb() { + GraphPattern sensor1GP = new GraphPattern(prefixes, + "ex:sensor2 rdf:type ex:Sensor . ex:sensor2 ex:isPartOf ex:room2 . ex:sensor2 ex:hasLatestValue ?value ."); + + AnswerKnowledgeInteraction sensor1KbAnswer = new AnswerKnowledgeInteraction(new CommunicativeAct(), sensor1GP); + sensor2Kb.register(sensor1KbAnswer, (AnswerHandler) (aKI, aAnswerInfo) -> { + BindingSet bs = new BindingSet(); + Binding b = new Binding(); + b.put("value", "20"); + bs.add(b); + return bs; + }); + } + + private void configureFloorplanKb() { + GraphPattern floorplanGP = new GraphPattern(prefixes, "?x ex:isPartOf ?y ."); + + AnswerKnowledgeInteraction floorplanKbAnswer = new AnswerKnowledgeInteraction(new CommunicativeAct(), + floorplanGP); + floorplanKb.register(floorplanKbAnswer, (AnswerHandler) (aKI, aAnswerInfo) -> { + BindingSet bs = new BindingSet(); + + Binding b = new Binding(); + b.put("x", ""); + b.put("y", ""); + bs.add(b); + + b = new Binding(); + b.put("x", ""); + b.put("y", ""); + bs.add(b); + + b = new Binding(); + b.put("x", ""); + b.put("y", ""); + bs.add(b); + + return bs; + }); + } + + @AfterAll + public static void close() { + LOG.info("Clean up: {}", GeneralizeIfNecessaryTest.class.getSimpleName()); + try { + kn.stop().get(); + } catch (InterruptedException | ExecutionException e) { + LOG.error("Stopping the Knowledge Network should succeed: {}", e); + } + } + +} From 8efa94c775a78217c918b1cb2fa2e7ad7206e5a1 Mon Sep 17 00:00:00 2001 From: Barry Nouwt Date: Thu, 22 Aug 2024 12:25:42 +0200 Subject: [PATCH 17/17] Add generalize if necessary test. --- .../api/GeneralizeIfNecessaryTest.java | 32 +++++++++++++------ 1 file changed, 22 insertions(+), 10 deletions(-) diff --git a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java index d6c8c2fdf..a899e9e8d 100644 --- a/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java +++ b/smart-connector/src/test/java/eu/knowledge/engine/smartconnector/api/GeneralizeIfNecessaryTest.java @@ -1,13 +1,10 @@ package eu.knowledge.engine.smartconnector.api; -import static org.junit.jupiter.api.Assertions.assertTrue; +import static org.junit.jupiter.api.Assertions.assertEquals; import java.util.Arrays; import java.util.HashSet; -import java.util.Iterator; -import java.util.concurrent.CountDownLatch; import java.util.concurrent.ExecutionException; -import java.util.concurrent.TimeUnit; import org.apache.jena.shared.PrefixMapping; import org.apache.jena.sparql.graph.PrefixMappingMem; @@ -22,12 +19,14 @@ import eu.knowledge.engine.smartconnector.util.MockedKnowledgeBase; /** - * This test tries to illustrate forward compatibility. We instantiate an - * App KB and a Lamp1 KB that exchange data about the on/off state of the lamp. - * When a new Lamp2 KB is introduced that does not support on/off because it is - * dimmable, we should how the reasoner+domain knowledge combination is able to - * make the app work with the new dimmable type of lamp although it was not - * designed to work with those types. + * This test tries to illustrate generalize if necessary. We instantiate + * an App KB and a Sensor1 and Sensor2 KB that exchange data about the value of + * the sensors and their location in the building. Then the App KB asks for all + * sensors in the building and we expect the Knowledge Engine to return both + * sensors although they are not directly said to be located in the building, + * but rather in two separate rooms that are part of a floor that is part of + * that particular building. So, this tests whether the knowledge engine can + * deal with transitivity and use it to its advantage. * * @author nouwtb * @@ -70,6 +69,19 @@ public void test() throws InterruptedException, ExecutionException { LOG.info("Result bindings: {}", result.getBindings()); + BindingSet expectedBS = new BindingSet(); + Binding expectedB = new Binding(); + expectedB.put("s", ""); + expectedB.put("value", "\"10\"^^"); + expectedBS.add(expectedB); + + expectedB = new Binding(); + expectedB.put("s", ""); + expectedB.put("value", "\"20\"^^"); + expectedBS.add(expectedB); + + assertEquals(expectedBS, result.getBindings()); + } private AskKnowledgeInteraction configureAppKb() {