package dr.inferencexml.loggers;
import dr.inference.loggers.*;
import dr.inference.model.Likelihood;
import dr.util.Identifiable;
import dr.xml.*;
import java.io.PrintWriter;
/**
*
*/
public class MLLoggerParser extends LoggerParser {
public static final String LOG_ML = "logML";
public static final String LIKELIHOOD = "ml";
public String getParserName() {
return LOG_ML;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
Likelihood likelihood = (Likelihood) xo.getElementFirstChild(LIKELIHOOD);
// logEvery of zero only displays at the end
int logEvery = xo.getAttribute(LOG_EVERY, 0);
final PrintWriter pw = getLogFile(xo, getParserName());
LogFormatter formatter = new TabDelimitedFormatter(pw);
MLLogger logger = new MLLogger(likelihood, formatter, logEvery);
if (xo.hasAttribute(TITLE)) {
logger.setTitle(xo.getStringAttribute(TITLE));
}
for (int i = 0; i < xo.getChildCount(); i++) {
Object child = xo.getChild(i);
if (child instanceof Columns) {
logger.addColumns(((Columns) child).getColumns());
} else if (child instanceof Loggable) {
logger.add((Loggable) child);
} else if (child instanceof Identifiable) {
logger.addColumn(new LogColumn.Default(((Identifiable) child).getId(), child));
} else {
logger.addColumn(new LogColumn.Default(child.getClass().toString(), child));
}
}
return logger;
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
AttributeRule.newIntegerRule(LOG_EVERY, true),
new ElementRule(LIKELIHOOD,
new XMLSyntaxRule[]{new ElementRule(Likelihood.class)}),
new OrRule(
new ElementRule(Columns.class, 1, Integer.MAX_VALUE),
new ElementRule(Loggable.class, 1, Integer.MAX_VALUE)
)
};
public String getParserDescription() {
return "Logs one or more items every time the given likelihood improves";
}
public Class getReturnType() {
return MLLogger.class;
}
}