Java tutorial
/* * Copyright 2015 * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package de.tudarmstadt.lt.lm.app; import java.io.BufferedReader; import java.io.File; import java.io.FileFilter; import java.io.FileInputStream; import java.io.FileNotFoundException; import java.io.FileOutputStream; import java.io.InputStreamReader; import java.io.PrintStream; import java.io.Reader; import java.rmi.registry.Registry; import java.util.List; import org.apache.commons.cli.CommandLine; import org.apache.commons.cli.Option; import org.apache.commons.cli.OptionBuilder; import org.apache.commons.cli.Options; import org.apache.commons.io.LineIterator; import org.apache.commons.lang.StringUtils; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import de.tudarmstadt.lt.lm.perplexity.ModelPerplexity; import de.tudarmstadt.lt.lm.service.AbstractStringProvider; import de.tudarmstadt.lt.lm.service.StringProviderMXBean; import de.tudarmstadt.lt.utilities.cli.CliUtils; import de.tudarmstadt.lt.utilities.cli.ExtendedGnuParser; /** * @author Steffen Remus * */ public class LineProbPerp implements Runnable { private final static String USAGE_HEADER = "Output: input-line <tab> num-ngrams <tab> num-oov <tab> line-prob-log10 <tab> perplexity <tab> line-prob-w/o-oov-log10 <tab> perplexity-w/o-oov \nOptions"; private final static Logger LOG = LoggerFactory.getLogger(LineProbPerp.class); /** * @param args */ public static void main(String[] args) { new LineProbPerp(args).run(); } @SuppressWarnings("static-access") public LineProbPerp(String args[]) { Options opts = new Options(); opts.addOption(new Option("?", "help", false, "display this message")); opts.addOption(OptionBuilder.withLongOpt("port").withArgName("port-number").hasArg() .withDescription( String.format("Specifies the port on which the rmi registry listens (default: %d).", Registry.REGISTRY_PORT)) .create("rp")); opts.addOption(OptionBuilder.withLongOpt("host").withArgName("hostname").hasArg() .withDescription("Specifies the hostname on which the rmi registry listens (default: localhost).") .create("h")); opts.addOption(OptionBuilder.withLongOpt("file").withArgName("name").hasArg().withDescription( "Specify the file or directory that contains '.txt' files that are used as source for testing perplexity with the specified language model. Specify '-' to pipe from stdin. (default: '-').") .create("f")); opts.addOption(OptionBuilder.withLongOpt("out").withArgName("name").hasArg() .withDescription("Specify the output file. Specify '-' to use stdout. (default: '-').") .create("o")); opts.addOption(OptionBuilder.withLongOpt("name").withArgName("identifier").isRequired().hasArg() .withDescription("Specify the name of the language model provider that you want to connect to.") .create("i")); opts.addOption(OptionBuilder.withLongOpt("runparallel") .withDescription("Specify if processing should happen in parallel.").create("p")); try { CommandLine cmd = new ExtendedGnuParser(true).parse(opts, args); if (cmd.hasOption("help")) CliUtils.print_usage_quit(System.err, StartLM.class.getSimpleName(), opts, USAGE_HEADER, null, 0); _host = cmd.getOptionValue("host", "localhost"); _rmiport = Integer.parseInt(cmd.getOptionValue("port", String.valueOf(Registry.REGISTRY_PORT))); _file = cmd.getOptionValue("file", "-"); _out = cmd.getOptionValue("out", "-"); _name = cmd.getOptionValue("name"); _parallel = cmd.hasOption("runparallel"); } catch (Exception e) { LOG.error("{}: {}- {}", _rmi_string, e.getClass().getSimpleName(), e.getMessage()); CliUtils.print_usage_quit(System.err, getClass().getSimpleName(), opts, USAGE_HEADER, String.format("%s: %s%n", e.getClass().getSimpleName(), e.getMessage()), 1); } _rmi_string = String.format("rmi://%s:%d/%s", _host, _rmiport, _name); } boolean _parallel; String _rmi_string; int _rmiport; String _file; String _out; String _host; String _name; PrintStream _pout; ModelPerplexity<String> _perp = null; ModelPerplexity<String> _perp_oov = null; StringProviderMXBean _lm_prvdr = null; /* (non-Javadoc) * @see java.lang.Runnable#run() */ @Override public void run() { _lm_prvdr = AbstractStringProvider.connectToServer(_host, _rmiport, _name); if (_lm_prvdr == null) { LOG.error("Could not connect to language model at '{}'", _rmi_string); return; } _perp = new ModelPerplexity<>(_lm_prvdr); _perp_oov = new ModelPerplexity<>(_lm_prvdr); _pout = System.out; if (!"-".equals(_out)) { try { _pout = new PrintStream(new FileOutputStream(new File(_out), true)); } catch (FileNotFoundException e) { LOG.error("Could not open ouput file '{}' for writing.", _out, e); System.exit(1); } } if ("-".equals(_file.trim())) { LOG.info("{}: Processing text from stdin ('{}').", _rmi_string, _file); try { run(new InputStreamReader(System.in, "UTF-8")); } catch (Exception e) { LOG.error("{}: Could not compute perplexity from file '{}'.", _rmi_string, _file, e); } } else { File f_or_d = new File(_file); if (!f_or_d.exists()) throw new Error(String.format("%s: File or directory '%s' not found.", _rmi_string, _file)); if (f_or_d.isFile()) { LOG.info("{}: Processing file '{}'.", _rmi_string, f_or_d.getAbsolutePath()); try { run(new InputStreamReader(new FileInputStream(f_or_d), "UTF-8")); } catch (Exception e) { LOG.error("{}: Could not compute perplexity from file '{}'.", _rmi_string, f_or_d.getAbsolutePath(), e); } } if (f_or_d.isDirectory()) { File[] txt_files = f_or_d.listFiles(new FileFilter() { @Override public boolean accept(File f) { return f.isFile() && f.getName().endsWith(".txt"); } }); for (int i = 0; i < txt_files.length; i++) { File f = txt_files[i]; LOG.info("{}: Processing file '{}' ({}/{}).", _rmi_string, f.getAbsolutePath(), i + 1, txt_files.length); try { run(new InputStreamReader(new FileInputStream(f), "UTF-8")); } catch (Exception e) { LOG.error("{}: Could not compute perplexity from file '{}'.", _rmi_string, f.getAbsolutePath(), e); } } } } } void run(Reader r) { if (_parallel) runParallel(r); else runSequential(r); } void runParallel(Reader r) { BufferedReader br = new BufferedReader(r); br.lines().parallel().forEach( line -> processLine(line, new ModelPerplexity<>(_lm_prvdr), new ModelPerplexity<>(_lm_prvdr))); } void runSequential(Reader r) { long l = 0; for (LineIterator liter = new LineIterator(r); liter.hasNext();) { if (++l % 5000 == 0) LOG.info("{}: processing line {}.", _rmi_string, l); String line = liter.next(); processLine(line, _perp, _perp_oov); } } void processLine(String line, ModelPerplexity<String> perp, ModelPerplexity<String> perp_oov) { if (line.trim().isEmpty()) { println(getOutputLine(line, 0, 0, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY)); return; } List<String>[] ngrams; try { List<String> tokens = _lm_prvdr.tokenizeSentence(line); if (tokens == null || tokens.isEmpty()) { println(getOutputLine(line, 0, 0, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY)); return; } ngrams = _lm_prvdr.getNgramSequence(tokens); if (ngrams == null || ngrams.length == 0) { println(getOutputLine(line, 0, 0, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY)); return; } } catch (Exception e) { LOG.error("{}: Could not get ngrams from line '{}'.", _rmi_string, StringUtils.abbreviate(line, 100), e); return; } perp.reset(); perp_oov.reset(); for (List<String> ngram : ngrams) { if (ngram.isEmpty()) continue; try { perp_oov.addLog10Prob(ngram); if (!_lm_prvdr.ngramEndsWithOOV(ngram)) perp.addLog10Prob(ngram); } catch (Exception e) { LOG.error("{}: Could not add ngram '{}' to perplexity.", _rmi_string, ngram); continue; } } println(getOutputLine(line, perp_oov.getN(), perp_oov.getN() - perp.getN(), perp_oov.getLog10Probs(), perp_oov.get(), perp.getLog10Probs(), perp.get())); } public String getOutputLine(String line, long num_ngrams, long num_oov, double log10prob, double perp, double log10prob_oov, double perp_oov) { return String.format("%s\t%d\t%d\t%e\t%e\t%e\t%e", line, num_ngrams, num_oov, log10prob, perp, log10prob_oov, perp_oov); } public synchronized void println(String toPrint) { _pout.println(toPrint); } }