RandomSec/src/main/java/com/metaweb/gridworks/model/Recon.java

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package com.metaweb.gridworks.model;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import org.json.JSONException;
import org.json.JSONWriter;
import com.metaweb.gridworks.Jsonizable;
import com.metaweb.gridworks.expr.HasFields;
public class Recon implements Serializable, HasFields, Jsonizable {
private static final long serialVersionUID = 8906257833709315762L;
static public enum Judgment {
None,
Matched,
New
}
static public String judgmentToString(Judgment judgment) {
if (judgment == Judgment.Matched) {
return "matched";
} else if (judgment == Judgment.New) {
return "new";
} else {
return "none";
}
}
static public Judgment stringToJudgment(String s) {
if ("matched".equals(s)) {
return Judgment.Matched;
} else if ("new".equals(s)) {
return Judgment.New;
} else {
return Judgment.None;
}
}
static public int Feature_typeMatch = 0;
static public int Feature_nameMatch = 1;
static public int Feature_nameLevenshtein = 2;
static public int Feature_nameWordDistance = 3;
static public int Feature_max = 4;
static protected Map<String, Integer> s_featureMap;
static {
s_featureMap = new HashMap<String, Integer>();
s_featureMap.put("typeMatch", Feature_typeMatch);
s_featureMap.put("nameMatch", Feature_nameMatch);
s_featureMap.put("nameLevenshtein", Feature_nameLevenshtein);
s_featureMap.put("nameWordDistance", Feature_nameWordDistance);
}
final public long id;
public Object[] features = new Object[Feature_max];
public List<ReconCandidate> candidates;
public Judgment judgment = Judgment.None;
public ReconCandidate match = null;
public Recon() {
id = System.currentTimeMillis() * 1000000 + Math.round(Math.random() * 1000000);
}
public Recon dup() {
Recon r = new Recon();
System.arraycopy(features, 0, r.features, 0, features.length);
if (candidates != null) {
r.candidates = new ArrayList<ReconCandidate>(candidates);
}
r.judgment = judgment;
r.match = match;
return r;
}
public void addCandidate(ReconCandidate candidate) {
if (candidates == null) {
candidates = new ArrayList<ReconCandidate>(3);
}
candidates.add(candidate);
}
public ReconCandidate getBestCandidate() {
if (candidates != null && candidates.size() > 0) {
return candidates.get(0);
}
return null;
}
public Object getFeature(int feature) {
return feature < features.length ? features[feature] : null;
}
public void setFeature(int feature, Object v) {
if (feature >= features.length) {
if (feature >= Feature_max) {
return;
}
// We deserialized this object from an older version of the class
// that had fewer features, so we can just try to extend it
Object[] newFeatures = new Object[Feature_max];
System.arraycopy(features, 0, newFeatures, 0, features.length);
features = newFeatures;
}
features[feature] = v;
}
public Object getField(String name, Properties bindings) {
if ("best".equals(name)) {
return candidates != null && candidates.size() > 0 ? candidates.get(0) : null;
} else if ("judgment".equals(name) || "judgement".equals(name)) {
return judgmentToString();
} else if ("matched".equals(name)) {
return judgment == Judgment.Matched;
} else if ("new".equals(name)) {
return judgment == Judgment.New;
} else if ("match".equals(name)) {
return match;
} else if ("features".equals(name)) {
return new Features();
}
return null;
}
protected String judgmentToString() {
return judgmentToString(judgment);
}
public class Features implements HasFields {
public Object getField(String name, Properties bindings) {
int index = s_featureMap.get(name);
return index < features.length ? features[index] : null;
}
}
public void write(JSONWriter writer, Properties options)
throws JSONException {
writer.object();
writer.key("j");
writer.value(judgmentToString());
if (match != null) {
writer.key("m");
match.write(writer, options);
} else {
writer.key("c"); writer.array();
if (candidates != null) {
for (ReconCandidate c : candidates) {
c.write(writer, options);
}
}
writer.endArray();
}
writer.endObject();
}
}