use of javax.json.JsonObjectBuilder in project torodb by torodb.
the class ToroIndexConverter method to.
@Override
public String to(NamedToroIndex userObject) {
JsonObjectBuilder objectBuilder = Json.createObjectBuilder();
objectBuilder.add(NAME_KEY, userObject.getName());
if (userObject.isUnique()) {
objectBuilder.add(UNIQUE_KEY, true);
}
JsonArrayBuilder attsBuilder = Json.createArrayBuilder();
JsonArrayBuilder descBuilder = Json.createArrayBuilder();
int attPosition = 0;
boolean hasDescending = false;
for (Map.Entry<AttributeReference, IndexType> entry : userObject.getAttributes().entrySet()) {
attsBuilder.add(entry.getKey().toString());
if (IndexType.desc.equals(entry.getValue())) {
descBuilder.add(attPosition);
hasDescending = true;
}
attPosition++;
}
objectBuilder.add(ATTS_KEY, attsBuilder);
if (hasDescending) {
objectBuilder.add(DESCENDING, descBuilder);
}
StringWriter stringWriter = new StringWriter(200);
JsonWriter jsonWriter = Json.createWriter(stringWriter);
jsonWriter.writeObject(objectBuilder.build());
return stringWriter.toString();
}
use of javax.json.JsonObjectBuilder in project torodb by torodb.
the class MongoTimestampValueConverter method to.
@Override
public JsonObject to(KvMongoTimestamp userObject) {
JsonObjectBuilder jsonObjectBuilder = Json.createObjectBuilder();
jsonObjectBuilder.add("secs", userObject.getSecondsSinceEpoch());
jsonObjectBuilder.add("counter", userObject.getOrdinal());
return jsonObjectBuilder.build();
}
use of javax.json.JsonObjectBuilder in project CoreNLP by stanfordnlp.
the class NeuralCorefDataExporter method process.
@Override
public void process(int id, Document document) {
JsonArrayBuilder clusters = Json.createArrayBuilder();
for (CorefCluster gold : document.goldCorefClusters.values()) {
JsonArrayBuilder c = Json.createArrayBuilder();
for (Mention m : gold.corefMentions) {
c.add(m.mentionID);
}
clusters.add(c.build());
}
goldClusterWriter.println(Json.createObjectBuilder().add(String.valueOf(id), clusters.build()).build());
Map<Pair<Integer, Integer>, Boolean> mentionPairs = CorefUtils.getLabeledMentionPairs(document);
List<Mention> mentionsList = CorefUtils.getSortedMentions(document);
Map<Integer, List<Mention>> mentionsByHeadIndex = new HashMap<>();
for (int i = 0; i < mentionsList.size(); i++) {
Mention m = mentionsList.get(i);
List<Mention> withIndex = mentionsByHeadIndex.get(m.headIndex);
if (withIndex == null) {
withIndex = new ArrayList<>();
mentionsByHeadIndex.put(m.headIndex, withIndex);
}
withIndex.add(m);
}
JsonObjectBuilder docFeatures = Json.createObjectBuilder();
docFeatures.add("doc_id", id);
docFeatures.add("type", document.docType == DocType.ARTICLE ? 1 : 0);
docFeatures.add("source", document.docInfo.get("DOC_ID").split("/")[0]);
JsonArrayBuilder sentences = Json.createArrayBuilder();
for (CoreMap sentence : document.annotation.get(SentencesAnnotation.class)) {
sentences.add(getSentenceArray(sentence.get(CoreAnnotations.TokensAnnotation.class)));
}
JsonObjectBuilder mentions = Json.createObjectBuilder();
for (Mention m : document.predictedMentionsByID.values()) {
Iterator<SemanticGraphEdge> iterator = m.enhancedDependency.incomingEdgeIterator(m.headIndexedWord);
SemanticGraphEdge relation = iterator.hasNext() ? iterator.next() : null;
String depRelation = relation == null ? "no-parent" : relation.getRelation().toString();
String depParent = relation == null ? "<missing>" : relation.getSource().word();
mentions.add(String.valueOf(m.mentionNum), Json.createObjectBuilder().add("doc_id", id).add("mention_id", m.mentionID).add("mention_num", m.mentionNum).add("sent_num", m.sentNum).add("start_index", m.startIndex).add("end_index", m.endIndex).add("head_index", m.headIndex).add("mention_type", m.mentionType.toString()).add("dep_relation", depRelation).add("dep_parent", depParent).add("sentence", getSentenceArray(m.sentenceWords)).add("contained-in-other-mention", mentionsByHeadIndex.get(m.headIndex).stream().anyMatch(m2 -> m != m2 && m.insideIn(m2)) ? 1 : 0).build());
}
JsonArrayBuilder featureNames = Json.createArrayBuilder().add("same-speaker").add("antecedent-is-mention-speaker").add("mention-is-antecedent-speaker").add("relaxed-head-match").add("exact-string-match").add("relaxed-string-match");
JsonObjectBuilder features = Json.createObjectBuilder();
JsonObjectBuilder labels = Json.createObjectBuilder();
for (Map.Entry<Pair<Integer, Integer>, Boolean> e : mentionPairs.entrySet()) {
Mention m1 = document.predictedMentionsByID.get(e.getKey().first);
Mention m2 = document.predictedMentionsByID.get(e.getKey().second);
String key = m1.mentionNum + " " + m2.mentionNum;
JsonArrayBuilder builder = Json.createArrayBuilder();
for (int val : CategoricalFeatureExtractor.pairwiseFeatures(document, m1, m2, dictionaries, conll)) {
builder.add(val);
}
features.add(key, builder.build());
labels.add(key, e.getValue() ? 1 : 0);
}
JsonObject docData = Json.createObjectBuilder().add("sentences", sentences.build()).add("mentions", mentions.build()).add("labels", labels.build()).add("pair_feature_names", featureNames.build()).add("pair_features", features.build()).add("document_features", docFeatures.build()).build();
dataWriter.println(docData);
}
use of javax.json.JsonObjectBuilder in project CoreNLP by stanfordnlp.
the class ConstantsAndVariables method getLearnedWordsAsJson.
// public Map<String, Counter<CandidatePhrase>> getLearnedWords() {
// return Counters.flatten(learnedWordsEachIter);
// }
//public void setLearnedWords(Counter<CandidatePhrase> words, String label) {
// this.learnedWords.put(label, words);
//}
public String getLearnedWordsAsJson() {
JsonObjectBuilder obj = Json.createObjectBuilder();
for (String label : getLabels()) {
Counter<CandidatePhrase> learnedWords = getLearnedWords(label);
JsonArrayBuilder arr = Json.createArrayBuilder();
for (CandidatePhrase k : learnedWords.keySet()) arr.add(k.getPhrase());
obj.add(label, arr);
}
return obj.build().toString();
}
use of javax.json.JsonObjectBuilder in project CoreNLP by stanfordnlp.
the class ConstantsAndVariables method getSetWordsAsJson.
public String getSetWordsAsJson(Map<String, Counter<CandidatePhrase>> words) {
JsonObjectBuilder obj = Json.createObjectBuilder();
for (String label : getLabels()) {
JsonArrayBuilder arr = Json.createArrayBuilder();
for (CandidatePhrase k : words.get(label).keySet()) arr.add(k.getPhrase());
obj.add(label, arr);
}
return obj.build().toString();
}
Aggregations