use of ai.grakn.concept.Concept in project grakn by graknlabs.
the class AtomicTest method testUnification_RelationWithMetaRolesAndIds.
@Test
public void testUnification_RelationWithMetaRolesAndIds() {
EmbeddedGraknTx<?> graph = unificationTestSet.tx();
Concept instance = graph.graql().<GetQuery>parse("match $x isa subRoleEntity; get;").execute().iterator().next().get(var("x"));
String relation = "{(role: $x, role: $y) isa binary; $y id '" + instance.getId().getValue() + "';}";
String relation2 = "{(role: $z, role: $v) isa binary; $z id '" + instance.getId().getValue() + "';}";
String relation3 = "{(role: $z, role: $v) isa binary; $v id '" + instance.getId().getValue() + "';}";
exactUnification(relation, relation2, true, true, graph);
exactUnification(relation, relation3, true, true, graph);
exactUnification(relation2, relation3, true, true, graph);
}
use of ai.grakn.concept.Concept in project grakn by graknlabs.
the class TinkerComputeQueryRunner method run.
public TinkerComputeJob<List<List<Concept>>> run(PathsQuery query) {
return runCompute(query, tinkerComputeQuery -> {
ConceptId sourceId = query.from();
ConceptId destinationId = query.to();
if (!tinkerComputeQuery.verticesExistInSubgraph(sourceId, destinationId)) {
throw GraqlQueryException.instanceDoesNotExist();
}
if (sourceId.equals(destinationId)) {
return Collections.singletonList(Collections.singletonList(tx.getConcept(sourceId)));
}
ComputerResult result;
Set<LabelId> subLabelIds = convertLabelsToIds(tinkerComputeQuery.subLabels());
try {
result = tinkerComputeQuery.compute(new ShortestPathVertexProgram(sourceId, destinationId), null, subLabelIds);
} catch (NoResultException e) {
return Collections.emptyList();
}
Multimap<Concept, Concept> predecessorMapFromSource = tinkerComputeQuery.getPredecessorMap(result);
List<List<Concept>> allPaths = tinkerComputeQuery.getAllPaths(predecessorMapFromSource, sourceId);
if (tinkerComputeQuery.isAttributeIncluded()) {
// this can be slow
return tinkerComputeQuery.getExtendedPaths(allPaths);
}
LOG.info("Number of paths: " + allPaths.size());
return allPaths;
});
}
use of ai.grakn.concept.Concept in project grakn by graknlabs.
the class RelationshipAtom method inferRoles.
/**
* attempt to infer role types of this relation and return a fresh relationship with inferred role types
* @return either this if nothing/no roles can be inferred or fresh relation with inferred role types
*/
private RelationshipAtom inferRoles(Answer sub) {
// return if all roles known and non-meta
List<Role> explicitRoles = getExplicitRoles().collect(Collectors.toList());
Map<Var, Type> varTypeMap = getParentQuery().getVarTypeMap(sub);
boolean allRolesMeta = explicitRoles.stream().allMatch(role -> Schema.MetaSchema.isMetaLabel(role.getLabel()));
boolean roleRecomputationViable = allRolesMeta && (!sub.isEmpty() || !Sets.intersection(varTypeMap.keySet(), getRolePlayers()).isEmpty());
if (explicitRoles.size() == getRelationPlayers().size() && !roleRecomputationViable)
return this;
GraknTx graph = getParentQuery().tx();
Role metaRole = graph.admin().getMetaRole();
List<RelationPlayer> allocatedRelationPlayers = new ArrayList<>();
RelationshipType relType = getSchemaConcept() != null ? getSchemaConcept().asRelationshipType() : null;
// explicit role types from castings
List<RelationPlayer> inferredRelationPlayers = new ArrayList<>();
getRelationPlayers().forEach(rp -> {
Var varName = rp.getRolePlayer().var();
VarPatternAdmin rolePattern = rp.getRole().orElse(null);
if (rolePattern != null) {
Label roleLabel = rolePattern.getTypeLabel().orElse(null);
// allocate if variable role or if label non meta
if (roleLabel == null || !Schema.MetaSchema.isMetaLabel(roleLabel)) {
inferredRelationPlayers.add(RelationPlayer.of(rolePattern, varName.admin()));
allocatedRelationPlayers.add(rp);
}
}
});
// remaining roles
// role types can repeat so no matter what has been allocated still the full spectrum of possibilities is present
// TODO make restrictions based on cardinality constraints
Set<Role> possibleRoles = relType != null ? relType.relates().collect(toSet()) : inferPossibleTypes(sub).stream().filter(Concept::isRelationshipType).map(Concept::asRelationshipType).flatMap(RelationshipType::relates).collect(toSet());
// possible role types for each casting based on its type
Map<RelationPlayer, Set<Role>> mappings = new HashMap<>();
getRelationPlayers().stream().filter(rp -> !allocatedRelationPlayers.contains(rp)).forEach(rp -> {
Var varName = rp.getRolePlayer().var();
Type type = varTypeMap.get(varName);
mappings.put(rp, top(type != null ? compatibleRoles(type, possibleRoles) : possibleRoles));
});
// allocate all unambiguous mappings
mappings.entrySet().stream().filter(entry -> entry.getValue().size() == 1).forEach(entry -> {
RelationPlayer rp = entry.getKey();
Var varName = rp.getRolePlayer().var();
Role role = Iterables.getOnlyElement(entry.getValue());
VarPatternAdmin rolePattern = Graql.var().label(role.getLabel()).admin();
inferredRelationPlayers.add(RelationPlayer.of(rolePattern, varName.admin()));
allocatedRelationPlayers.add(rp);
});
// fill in unallocated roles with metarole
getRelationPlayers().stream().filter(rp -> !allocatedRelationPlayers.contains(rp)).forEach(rp -> {
Var varName = rp.getRolePlayer().var();
VarPatternAdmin rolePattern = rp.getRole().orElse(null);
rolePattern = rolePattern != null ? rolePattern.var().label(metaRole.getLabel()).admin() : Graql.var().label(metaRole.getLabel()).admin();
inferredRelationPlayers.add(RelationPlayer.of(rolePattern, varName.admin()));
});
VarPattern relationPattern = relationPattern(getVarName(), inferredRelationPlayers);
VarPatternAdmin newPattern = (isDirect() ? relationPattern.directIsa(getPredicateVariable()) : relationPattern.isa(getPredicateVariable())).admin();
return create(newPattern, getPredicateVariable(), getTypeId(), getParentQuery());
}
use of ai.grakn.concept.Concept in project grakn by graknlabs.
the class ConceptBuilder method tryGetConcept.
@Nullable
private Concept tryGetConcept() {
Concept concept = null;
if (has(ID)) {
concept = executor.tx().getConcept(use(ID));
if (has(LABEL)) {
concept.asSchemaConcept().setLabel(use(LABEL));
}
} else if (has(LABEL)) {
concept = executor.tx().getSchemaConcept(use(LABEL));
}
if (concept != null) {
// The super can be changed on an existing concept
if (has(SUPER_CONCEPT)) {
SchemaConcept superConcept = use(SUPER_CONCEPT);
setSuper(concept.asSchemaConcept(), superConcept);
}
validate(concept);
}
return concept;
}
use of ai.grakn.concept.Concept in project grakn by graknlabs.
the class ConceptBuilder method tryPutConcept.
private Concept tryPutConcept() {
usedParams.clear();
Concept concept;
if (has(IS_ROLE)) {
use(IS_ROLE);
Label label = use(LABEL);
Role role = executor.tx().putRole(label);
if (has(SUPER_CONCEPT)) {
setSuper(role, use(SUPER_CONCEPT));
}
concept = role;
} else if (has(IS_RULE)) {
use(IS_RULE);
Label label = use(LABEL);
Pattern when = use(WHEN);
Pattern then = use(THEN);
Rule rule = executor.tx().putRule(label, when, then);
if (has(SUPER_CONCEPT)) {
setSuper(rule, use(SUPER_CONCEPT));
}
concept = rule;
} else if (has(SUPER_CONCEPT)) {
concept = putSchemaConcept();
} else if (has(TYPE)) {
concept = putInstance();
} else {
throw GraqlQueryException.insertUndefinedVariable(executor.printableRepresentation(var));
}
// Check for any unexpected parameters
preProvidedParams.forEach((param, value) -> {
if (!usedParams.contains(param)) {
throw GraqlQueryException.insertUnexpectedProperty(param.name(), value, concept);
}
});
return concept;
}
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