public void addEntryWhitelist(List<String> strings) throws IOException {
IntSet entryIdSet = new IntOpenHashSet();
for (String string : strings) {
final int id = getIndexDeligate().getEntryEnumerator().indexOf(string);
entryIdSet.add(id);
}
setAcceptEntry(
Predicates2.<Weighted<Token>>and(
getAcceptEntry(), Predicates2.compose(Predicates2.in(entryIdSet), id())));
}
public void addFeaturesBlacklist(List<String> strings) throws IOException {
IntSet featureIdSet = new IntOpenHashSet();
for (String string : strings) {
final int id = getIndexDeligate().getFeatureEnumerator().indexOf(string);
featureIdSet.add(id);
}
setAcceptFeatures(
Predicates2.<Weighted<Token>>and(
getAcceptFeatures(),
Predicates2.compose(Predicates2.not(Predicates2.in(featureIdSet)), id())));
}
public void addEntryPattern(String pattern) {
setAcceptEntry(
Predicates2.<Weighted<Token>>and(
getAcceptEntry(),
Predicates2.compose(Predicates2.containsPattern(pattern), entryString())));
}
public void addEntryFrequencyRange(double min, double max) {
setAcceptEntry(
Predicates2.<Weighted<Token>>and(
getAcceptEntry(),
Predicates2.compose(Predicates2.inRange(min, max), this.<Token>weight())));
}
public void addEntryMaximumFrequency(double threshold) {
setAcceptEntry(
Predicates2.<Weighted<Token>>and(
getAcceptEntry(),
Predicates2.compose(Predicates2.lte(threshold), this.<Token>weight())));
}
public void addEventMinimumFrequency(double threshold) {
setAcceptEvent(
Predicates2.<Weighted<TokenPair>>and(
getAcceptEvent(),
Predicates2.compose(Predicates2.gte(threshold), this.<TokenPair>weight())));
}
/** * TODO: Efficiency improvements could be found be combining predicates more intelligently. If, for * e.g, one predicate was found to be implied by another then only the stronger need be taken. * * @author Hamish I A Morgan <[email protected]> */ @Parameters(commandDescription = "Filter a set of frequency files") public class FilterCommand extends AbstractCommand implements Serializable, ProgressReporting { private static final long serialVersionUID = 1L; private static final Log LOG = LogFactory.getLog(FilterCommand.class); /** Number of records to read or write between progress updates. */ private static final int PROGRESS_INTERVAL = 10000000; public static final String FILTERED_STRING = "___FILTERED___"; public static final int FILTERED_ID = 0; @ParametersDelegate private DoubleEnumerating indexDeligate = new DoubleEnumeratingDeligate(); private final ProgressDeligate progress = new ProgressDeligate(this, true); /* * === INPUT FILES === */ @Parameter( names = {"-iv", "--input-events"}, required = true, description = "Input event frequencies file.", validateWith = InputFileValidator.class) private File inputEventsFile; @Parameter( names = {"-ie", "--input-entries"}, required = true, description = "Input entry frequencies file.", validateWith = InputFileValidator.class) private File inputEntriesFile; @Parameter( names = {"-if", "--input-features"}, required = true, description = "Input features frequencies file.", validateWith = InputFileValidator.class) private File inputFeaturesFile; /* * === OUTPUT FILES === */ @Parameter( names = {"-ov", "--output-events"}, required = true, description = "Output event frequencies file.", validateWith = OutputFileValidator.class) private File outputEventsFile; @Parameter( names = {"-oe", "--output-entries"}, required = true, description = "Output entry frequencies file", validateWith = OutputFileValidator.class) private File outputEntriesFile; @Parameter( names = {"-of", "--output-features"}, required = true, description = "Output features frequencies file.", validateWith = OutputFileValidator.class) private File outputFeaturesFile; @ParametersDelegate private FileDeligate fileDeligate = new FileDeligate(); /* * === FILTER PARAMATERISATION === */ @Parameter( names = {"-fef", "--filter-entry-freq"}, description = "Minimum entry pair frequency threshold.", converter = DoubleConverter.class) private double filterEntryMinFreq; @Parameter( names = {"-few", "--filter-entry-whitelist"}, description = "Whitelist file containing entries of interest. (All others will be ignored)", validateWith = InputFileValidator.class) private File filterEntryWhitelist; @Parameter( names = {"-fep", "--filter-entry-pattern"}, description = "Regular expresion that accepted entries must match.") private String filterEntryPattern; @Parameter( names = {"-fvf", "--filter-event-freq"}, description = "Minimum event frequency threshold.", converter = DoubleConverter.class) private double filterEventMinFreq; @Parameter( names = {"-fff", "--filter-feature-freq"}, description = "Minimum feature pair frequency threshold.", converter = DoubleConverter.class) private double filterFeatureMinFreq; @Parameter( names = {"-ffw", "--filter-feature-whitelist"}, description = "Whitelist file containing features of interest. (All others will be ignored)", validateWith = InputFileValidator.class) private File filterFeatureWhitelist; @Parameter( names = {"-ffp", "--filter-feature-pattern"}, description = "Regular expresion that accepted features must match.") private String filterFeaturePattern; @Parameter( names = {"-T", "--temp-dir"}, description = "Temorary directory which will be used during filtering.", converter = TempFileFactoryConverter.class) private FileFactory tempFiles = new TempFileFactory(); /* * === INTERNAL === */ private Predicate<Weighted<Token>> acceptEntry = Predicates2.alwaysTrue(); private Predicate<Weighted<TokenPair>> acceptEvent = Predicates2.alwaysTrue(); private Predicate<Weighted<Token>> acceptFeature = Predicates2.alwaysTrue(); private boolean entryFilterRequired = false; private boolean eventFilterRequired = false; private boolean featureFilterRequired = false; // final Enumerator<String> entryIndex = Enumerators.newDefaultStringEnumerator(); // // final Enumerator<String> featureIndex = Enumerators.newDefaultStringEnumerator(); private File activeEventsFile; private File activeEntriesFile; private File activeFeaturesFile; public FilterCommand() {} public FilterCommand( File inputEventsFile, File inputEntriesFile, File inputFeaturesFile, File outputEventsFile, File outputEntriesFile, File outputFeaturesFile, Charset charset) { setCharset(charset); setInputFeaturesFile(inputFeaturesFile); setInputEventsFile(inputEventsFile); setInputEntriesFile(inputEntriesFile); setOutputFeaturesFile(outputFeaturesFile); setOutputEventsFile(outputEventsFile); setOutputEntriesFile(outputEntriesFile); } public final DoubleEnumerating getIndexDeligate() { return indexDeligate; } public final void setIndexDeligate(DoubleEnumerating indexDeligate) { this.indexDeligate = indexDeligate; } @Override public void runCommand() throws Exception { if (LOG.isInfoEnabled()) LOG.info("Running filtering."); if (LOG.isDebugEnabled()) LOG.debug(this); if (filterFeatureMinFreq > 0) { addFeaturesMinimumFrequency(filterFeatureMinFreq); } if (filterFeaturePattern != null) { addFeaturesPattern(filterFeaturePattern); } if (filterFeatureWhitelist != null) { addFeaturesWhitelist( com.google.common.io.Files.readLines(filterFeatureWhitelist, getCharset())); } if (filterEntryMinFreq > 0) { addEntryMinimumFrequency(filterEntryMinFreq); } if (filterEntryPattern != null) { addEntryPattern(filterEntryPattern); } if (filterEntryWhitelist != null) { addEntryWhitelist(com.google.common.io.Files.readLines(filterEntryWhitelist, getCharset())); } if (filterEventMinFreq > 0) { addEventMinimumFrequency(filterEventMinFreq); } checkState(); activeEventsFile = inputEventsFile; activeEntriesFile = inputEntriesFile; activeFeaturesFile = inputFeaturesFile; progress.addProgressListener( new ProgressListener() { @Override public void progressChanged(ProgressEvent progressEvent) { LOG.info(progressEvent.getSource().getProgressReport()); } }); progress.setState(State.RUNNING); progress.setProgressPercent(0); // Run the filters forwards then backwards. Each filtering step may // introduce additionaly filters for the other files, so continue // looping until there is no work remaining. Depending on filters this // very unlikely to take more than 3 passes int passCount = 0; int opCount = 0; while (entryFilterRequired || eventFilterRequired || featureFilterRequired) { // if (entryFilterRequired || eventFilterRequired) { progress.setMessage("Running filtering pass (#" + (++passCount) + ")."); if (entryFilterRequired) { filterEntries(); ++opCount; progress.setProgressPercent( 100 * opCount / (opCount + 3 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); } if (eventFilterRequired) { filterEvents(); ++opCount; progress.setProgressPercent( 100 * opCount / (opCount + 3 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); } if (featureFilterRequired) { filterFeatures(); ++opCount; progress.setProgressPercent( 100 * opCount / (opCount + 3 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); } // } // // if (featureFilterRequired || eventFilterRequired) { // // progress.setMessage("Running backwards filtering pass (#" + (++passCount) + // ")."); // // if (featureFilterRequired) { // filterFeatures(); // ++opCount; // progress.setProgressPercent(100 * opCount / (opCount // + (entryFilterRequired ? 1 : 0) // + (eventFilterRequired ? 1 : 0) // + (featureFilterRequired ? 1 : 0))); // } if (eventFilterRequired) { filterEvents(); ++opCount; progress.setProgressPercent( 100 * opCount / (opCount + 3 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); } if (entryFilterRequired) { filterEntries(); ++opCount; progress.setProgressPercent( 100 * opCount / (opCount + 3 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); } // } } // Finished filtering so copy the results files to the outputs. progress.setMessage("Copying final entries file."); outputEntriesFile.delete(); if (!activeEntriesFile.renameTo(outputEntriesFile)) { com.google.common.io.Files.copy(activeEntriesFile, outputEntriesFile); if (!activeEntriesFile.equals(inputEntriesFile)) activeEntriesFile.delete(); } ++opCount; progress.startAdjusting(); progress.setProgressPercent( 100 * opCount / (opCount + 2 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); progress.setMessage("Copying finaly events file."); progress.endAdjusting(); outputEventsFile.delete(); if (!activeEventsFile.renameTo(outputEventsFile)) { com.google.common.io.Files.copy(activeEventsFile, outputEventsFile); if (!activeEventsFile.equals(inputEventsFile)) activeEventsFile.delete(); } ++opCount; progress.startAdjusting(); progress.setProgressPercent( 100 * opCount / (opCount + 1 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); progress.setMessage("Copying final features file."); progress.endAdjusting(); outputFeaturesFile.delete(); if (!activeFeaturesFile.renameTo(outputFeaturesFile)) { com.google.common.io.Files.copy(activeFeaturesFile, outputFeaturesFile); if (!activeFeaturesFile.equals(inputFeaturesFile)) activeFeaturesFile.delete(); } ++opCount; progress.setProgressPercent( 100 * opCount / (opCount + 0 + (entryFilterRequired ? 1 : 0) + (eventFilterRequired ? 1 : 0) + (featureFilterRequired ? 1 : 0))); if (indexDeligate.isEnumeratorOpen()) { indexDeligate.saveEnumerator(); indexDeligate.closeEnumerator(); } progress.setState(State.COMPLETED); } // Read the entries file, passing it thought the filter. accepted entries // are written out to the output file while rejected entries are stored // for filtering the AllPairsTask. private void filterEntries() throws FileNotFoundException, IOException { final IntSet rejected = new IntOpenHashSet(); WeightedTokenSource entriesSource = BybloIO.openEntriesSource(activeEntriesFile, getCharset(), getIndexDeligate()); File outputFile = tempFiles.createFile(); WeightedTokenSink entriesSink = BybloIO.openEntriesSink(outputFile, getCharset(), getIndexDeligate()); progress.setMessage("Filtering entries."); final int filteredEntry = getIndexDeligate().getEntryEnumerator().indexOf(FILTERED_STRING); double filteredWeight = 0; long inCount = 0; long outCount = 0; while (entriesSource.hasNext()) { ++inCount; Weighted<Token> record = entriesSource.read(); if (record.record().id() == filteredEntry) { filteredWeight += record.weight(); } else if (acceptEntry.apply(record)) { entriesSink.write(record); ++outCount; } else { rejected.add(record.record().id()); filteredWeight += record.weight(); } if ((inCount % PROGRESS_INTERVAL == 0 || !entriesSource.hasNext()) && LOG.isInfoEnabled()) { progress.setMessage(format("Accepted {0} of {1} entries.", outCount, inCount)); LOG.debug(MiscUtil.memoryInfoString()); } } if (filteredWeight != 0) { entriesSink.write(new Weighted<Token>(new Token(filteredEntry), filteredWeight)); } entriesSource.close(); entriesSink.flush(); entriesSink.close(); if (!activeEntriesFile.equals(inputEntriesFile)) { activeEntriesFile.delete(); } entryFilterRequired = false; activeEntriesFile = outputFile; // Update the feature acceptance predicate if (rejected.size() > 0) { eventFilterRequired = true; acceptEvent = Predicates2.and( acceptEvent, Predicates2.compose(Predicates2.not(Predicates2.in(rejected)), eventEntryId())); } } // Filter the AllPairsTask file, rejecting all entires that contain entries // dropped in the entries file filter pass. Store a list of featuress that // only appear in filtered entries to filter the featuress file. private void filterEvents() throws FileNotFoundException, IOException { IntSet acceptedEntries = new IntOpenHashSet(); IntSet rejectedEntries = new IntOpenHashSet(); IntSet rejectedFeatures = new IntOpenHashSet(); IntSet acceptedFeatures = new IntOpenHashSet(); WeightedTokenPairSource efSrc = BybloIO.openEventsSource(activeEventsFile, getCharset(), indexDeligate); File outputFile = tempFiles.createFile(); // outputFile.deleteOnExit(); WeightedTokenPairSink efSink = BybloIO.openEventsSink(outputFile, getCharset(), indexDeligate); progress.setMessage("Filtering events from."); // Store the id of the special filtered feature and entry // TODO This can probably be removed now but need to check final int filteredEntry = getIndexDeligate().getEntryEnumerator().indexOf(FILTERED_STRING); final int filteredFeature = getIndexDeligate().getFeatureEnumerator().indexOf(FILTERED_STRING); int currentEntryId = -1; int currentEventCount = 0; double currentEntryFilteredFeatureWeight = 0; double filteredEntryWeight = 0; int readCount = 0; int writeCount = 0; while (efSrc.hasNext()) { Weighted<TokenPair> record = efSrc.read(); ++readCount; if (record.record().id1() == filteredEntry) { filteredEntryWeight += record.weight(); continue; } if (record.record().id1() != currentEntryId) { if (currentEntryId != -1 && currentEntryFilteredFeatureWeight != 0) { if (currentEventCount == 0) { filteredEntryWeight += currentEntryFilteredFeatureWeight; } else { efSink.write( new Weighted<TokenPair>( new TokenPair(currentEntryId, filteredFeature), currentEntryFilteredFeatureWeight)); ++writeCount; } } currentEntryId = record.record().id1(); currentEntryFilteredFeatureWeight = 0; currentEventCount = 0; } if (record.record().id2() == filteredFeature) { currentEntryFilteredFeatureWeight += record.weight(); } else if (acceptEvent.apply(record)) { efSink.write(record); ++writeCount; acceptedEntries.add(record.record().id1()); acceptedFeatures.add(record.record().id2()); ++currentEventCount; } else { rejectedEntries.add(record.record().id1()); rejectedFeatures.add(record.record().id2()); currentEntryFilteredFeatureWeight += record.weight(); } if ((readCount % PROGRESS_INTERVAL == 0 || !efSrc.hasNext()) && LOG.isInfoEnabled()) { progress.setMessage("Accepted " + writeCount + " of " + readCount + " events."); LOG.debug(MiscUtil.memoryInfoString()); } } if (currentEntryId != -1 && currentEntryFilteredFeatureWeight != 0) { if (currentEventCount == 0) { filteredEntryWeight += currentEntryFilteredFeatureWeight; } else { efSink.write( new Weighted<TokenPair>( new TokenPair(currentEntryId, filteredFeature), currentEntryFilteredFeatureWeight)); } } // If there have been entire entries filtered then write their summed // weights to a special filtered entry/feature pair if (filteredEntryWeight != 0) { efSink.write( new Weighted<TokenPair>( new TokenPair(filteredEntry, filteredFeature), filteredEntryWeight)); } efSrc.close(); efSink.flush(); efSink.close(); if (!activeEventsFile.equals(inputEventsFile)) { activeEventsFile.delete(); } eventFilterRequired = false; activeEventsFile = outputFile; rejectedFeatures.removeAll(acceptedFeatures); rejectedEntries.removeAll(acceptedEntries); if (rejectedEntries.size() > 0) { acceptEntry = Predicates2.and( acceptEntry, Predicates2.compose(Predicates2.not(Predicates2.in(rejectedEntries)), id())); entryFilterRequired = true; } if (rejectedFeatures.size() > 0) { acceptFeature = Predicates2.and( acceptFeature, Predicates2.not(Predicates2.compose(Predicates2.in(rejectedFeatures), id()))); featureFilterRequired = true; } } // Filter the AllPairsTask file, rejecting all entries that where found to // be only used by filtered entries. private void filterFeatures() throws FileNotFoundException, IOException { IntSet rejectedFeatures = new IntOpenHashSet(); WeightedTokenSource featureSource = BybloIO.openFeaturesSource(activeFeaturesFile, getCharset(), indexDeligate); File outputFile = tempFiles.createFile(); WeightedTokenSink featureSink = BybloIO.openFeaturesSink(outputFile, getCharset(), indexDeligate); progress.setMessage("Filtering features."); // Store an filtered wieght here and record it so as to maintain // accurate priors for those features that remain double filteredWeight = 0; int filteredId = getIndexDeligate().getFeatureEnumerator().indexOf(FILTERED_STRING); long inCount = 0; long outCount = 0; while (featureSource.hasNext()) { Weighted<Token> feature = featureSource.read(); ++inCount; if (feature.record().id() == filteredId) { filteredWeight += feature.weight(); } else if (acceptFeature.apply(feature)) { featureSink.write(feature); ++outCount; } else { rejectedFeatures.add(feature.record().id()); filteredWeight += feature.weight(); } if ((inCount % PROGRESS_INTERVAL == 0 || !featureSource.hasNext()) && LOG.isInfoEnabled()) { progress.setMessage(format("Accepted {0} of {1} features.", outCount, inCount)); LOG.debug(MiscUtil.memoryInfoString()); } } if (filteredWeight != 0) { featureSink.write(new Weighted<Token>(new Token(filteredId), filteredWeight)); } featureSource.close(); featureSink.flush(); featureSink.close(); if (!activeFeaturesFile.equals(inputFeaturesFile)) { activeFeaturesFile.delete(); } featureFilterRequired = false; activeFeaturesFile = outputFile; // Update the feature acceptance predicate if (rejectedFeatures.size() > 0) { eventFilterRequired = true; acceptEvent = Predicates2.and( acceptEvent, Predicates2.compose( Predicates2.not(Predicates2.in(rejectedFeatures)), eventFeatureId())); } } public final File getInputFeaturesFile() { return inputFeaturesFile; } public final void setInputFeaturesFile(File inputFeaturesFile) { this.inputFeaturesFile = checkNotNull(inputFeaturesFile); } public final File getInputEventsFile() { return inputEventsFile; } public final void setInputEventsFile(File inputEventsFile) { this.inputEventsFile = checkNotNull(inputEventsFile); } public final File getInputEntriesFile() { return inputEntriesFile; } public final void setInputEntriesFile(File inputEntriesFile) { this.inputEntriesFile = checkNotNull(inputEntriesFile); } public final File getOutputFeaturesFile() { return outputFeaturesFile; } public final void setOutputFeaturesFile(File outputFeaturesFile) { this.outputFeaturesFile = checkNotNull(outputFeaturesFile); } public final File getOutputEventsFile() { return outputEventsFile; } public final void setOutputEventsFile(File outputEventsFile) { this.outputEventsFile = checkNotNull(outputEventsFile); } public final File getOutputEntriesFile() { return outputEntriesFile; } public final void setOutputEntriesFile(File outputEntriesFile) { this.outputEntriesFile = checkNotNull(outputEntriesFile); } public Predicate<Weighted<Token>> getAcceptFeatures() { return acceptFeature; } public void setAcceptFeatures(Predicate<Weighted<Token>> acceptFeature) { if (!acceptFeature.equals(this.acceptFeature)) { this.acceptFeature = acceptFeature; featureFilterRequired = true; } } public void addFeaturesMinimumFrequency(double threshold) { setAcceptFeatures( Predicates2.<Weighted<Token>>and( getAcceptFeatures(), Predicates2.compose(Predicates2.gte(threshold), this.<Token>weight()))); } public void addFeaturesMaximumFrequency(double threshold) { setAcceptFeatures( Predicates2.<Weighted<Token>>and( getAcceptFeatures(), Predicates2.compose(Predicates2.lte(threshold), this.<Token>weight()))); } public void addFeaturesFrequencyRange(double min, double max) { setAcceptFeatures( Predicates2.<Weighted<Token>>and( getAcceptFeatures(), Predicates2.compose(Predicates2.inRange(min, max), this.<Token>weight()))); } public void addFeaturesPattern(String pattern) { setAcceptFeatures( Predicates2.<Weighted<Token>>and( getAcceptFeatures(), Predicates2.compose(Predicates2.containsPattern(pattern), featureString()))); } public void addFeaturesWhitelist(List<String> strings) throws IOException { IntSet featureIdSet = new IntOpenHashSet(); for (String string : strings) { final int id = getIndexDeligate().getFeatureEnumerator().indexOf(string); featureIdSet.add(id); } setAcceptFeatures( Predicates2.<Weighted<Token>>and( getAcceptFeatures(), Predicates2.compose(Predicates2.in(featureIdSet), id()))); } public void addFeaturesBlacklist(List<String> strings) throws IOException { IntSet featureIdSet = new IntOpenHashSet(); for (String string : strings) { final int id = getIndexDeligate().getFeatureEnumerator().indexOf(string); featureIdSet.add(id); } setAcceptFeatures( Predicates2.<Weighted<Token>>and( getAcceptFeatures(), Predicates2.compose(Predicates2.not(Predicates2.in(featureIdSet)), id()))); } public Predicate<Weighted<TokenPair>> getAcceptEvent() { return acceptEvent; } public void setAcceptEvent(Predicate<Weighted<TokenPair>> acceptFeature) { if (!acceptFeature.equals(this.acceptEvent)) { this.acceptEvent = acceptFeature; eventFilterRequired = true; } } public void addEventMinimumFrequency(double threshold) { setAcceptEvent( Predicates2.<Weighted<TokenPair>>and( getAcceptEvent(), Predicates2.compose(Predicates2.gte(threshold), this.<TokenPair>weight()))); } public void addEventMaximumFrequency(double threshold) { setAcceptEvent( Predicates2.<Weighted<TokenPair>>and( getAcceptEvent(), Predicates2.compose(Predicates2.lte(threshold), this.<TokenPair>weight()))); } public void addEventFrequencyRange(double min, double max) { setAcceptEvent( Predicates2.<Weighted<TokenPair>>and( getAcceptEvent(), Predicates2.compose(Predicates2.inRange(min, max), this.<TokenPair>weight()))); } public Predicate<Weighted<Token>> getAcceptEntry() { return acceptEntry; } public void setAcceptEntry(Predicate<Weighted<Token>> acceptEntry) { if (!acceptEntry.equals(this.acceptEntry)) { this.acceptEntry = acceptEntry; entryFilterRequired = true; } } public void addEntryMinimumFrequency(double threshold) { setAcceptEntry( Predicates2.<Weighted<Token>>and( getAcceptEntry(), Predicates2.compose(Predicates2.gte(threshold), this.<Token>weight()))); } public void addEntryMaximumFrequency(double threshold) { setAcceptEntry( Predicates2.<Weighted<Token>>and( getAcceptEntry(), Predicates2.compose(Predicates2.lte(threshold), this.<Token>weight()))); } public void addEntryFrequencyRange(double min, double max) { setAcceptEntry( Predicates2.<Weighted<Token>>and( getAcceptEntry(), Predicates2.compose(Predicates2.inRange(min, max), this.<Token>weight()))); } public void addEntryPattern(String pattern) { setAcceptEntry( Predicates2.<Weighted<Token>>and( getAcceptEntry(), Predicates2.compose(Predicates2.containsPattern(pattern), entryString()))); } public void addEntryWhitelist(List<String> strings) throws IOException { IntSet entryIdSet = new IntOpenHashSet(); for (String string : strings) { final int id = getIndexDeligate().getEntryEnumerator().indexOf(string); entryIdSet.add(id); } setAcceptEntry( Predicates2.<Weighted<Token>>and( getAcceptEntry(), Predicates2.compose(Predicates2.in(entryIdSet), id()))); } public void addEntryBlacklist(List<String> strings) throws IOException { IntSet entryIdSet = new IntOpenHashSet(); for (String string : strings) { final int id = getIndexDeligate().getEntryEnumerator().indexOf(string); entryIdSet.add(id); } setAcceptEntry( Predicates2.<Weighted<Token>>and( getAcceptEntry(), Predicates2.compose(Predicates2.not(Predicates2.in(entryIdSet)), id()))); } /** * Method that performance a number of sanity checks on the parameterisation of this class. It is * necessary to do this because the the class can be instantiated via a null constructor when run * from the command line. * * @throws NullPointerException * @throws IllegalStateException * @throws FileNotFoundException */ private void checkState() throws NullPointerException, IllegalStateException, FileNotFoundException { final Map<String, File> inputFiles = new HashMap<String, File>(); inputFiles.put("inputEntries", inputEntriesFile); inputFiles.put("inputFeatures", inputFeaturesFile); inputFiles.put("inputEvents", inputEventsFile); final Map<String, File> outputFiles = new HashMap<String, File>(); outputFiles.put("outputEntries", outputEntriesFile); outputFiles.put("outputFeatures", outputFeaturesFile); outputFiles.put("outputEvents", outputEventsFile); final Map<String, File> allFiles = new HashMap<String, File>(); allFiles.putAll(inputFiles); allFiles.putAll(outputFiles); // Check non of the parameters are null for (Map.Entry<String, File> entry : allFiles.entrySet()) { if (entry.getValue() == null) { throw new NullPointerException(entry.getKey() + " is null"); } } if (getCharset() == null) { throw new NullPointerException("charset is null"); } // Check that no two files are the same for (Map.Entry<String, File> a : allFiles.entrySet()) { for (Map.Entry<String, File> b : allFiles.entrySet()) { if (!a.getKey().equals(b.getKey()) && a.getValue().equals(b.getValue())) { throw new IllegalStateException(a.getKey() + " equal to " + b.getKey()); } } } // Check that the input files exists and is readable for (Map.Entry<String, File> entry : inputFiles.entrySet()) { if (!entry.getValue().exists()) { throw new FileNotFoundException(entry.getKey() + " does not exist: " + entry.getValue()); } if (!entry.getValue().isFile()) { throw new IllegalStateException( entry.getKey() + " is not a normal data file: " + entry.getValue()); } if (!entry.getValue().canRead()) { throw new IllegalStateException(entry.getKey() + " is not readable: " + entry.getValue()); } } // For each output file, check that either it exists and it writeable, // or that it does not exist but is creatable for (Map.Entry<String, File> e : outputFiles.entrySet()) { if (e.getValue().exists() && (!e.getValue().isFile() || !e.getValue().canWrite())) { throw new IllegalStateException( e.getKey() + " exists but is not writable: " + e.getValue()); } if (!e.getValue().exists() && !e.getValue().getAbsoluteFile().getParentFile().canWrite()) { throw new IllegalStateException( e.getKey() + " does not exists and can not be reated: " + e.getValue()); } } } // // ==== FIELD EXTRACTION FUNCTIONS ==== // private <T> Function<Weighted<T>, Double> weight() { return new Function<Weighted<T>, Double>() { @Override public Double apply(Weighted<T> input) { return input.weight(); } @Override public String toString() { return "Weight"; } }; } private <T> Function<Weighted<Token>, Integer> id() { return new Function<Weighted<Token>, Integer>() { @Override public Integer apply(Weighted<Token> input) { return input.record().id(); } @Override public String toString() { return "ID"; } }; } private Function<Weighted<Token>, String> entryString() { return new Function<Weighted<Token>, String>() { @Override public String apply(Weighted<Token> input) { try { return getIndexDeligate().getEntryEnumerator().valueOf(input.record().id()); } catch (IOException ex) { throw new RuntimeException(ex); } } @Override public String toString() { return "EntriesString"; } }; } private Function<Weighted<Token>, String> featureString() { return new Function<Weighted<Token>, String>() { @Override public String apply(Weighted<Token> input) { try { return getIndexDeligate().getFeatureEnumerator().valueOf(input.record().id()); } catch (IOException ex) { throw new RuntimeException(ex); } } @Override public String toString() { return "FeatureString"; } }; } private Function<Weighted<TokenPair>, Integer> eventEntryId() { return new Function<Weighted<TokenPair>, Integer>() { @Override public Integer apply(Weighted<TokenPair> input) { return input.record().id1(); } @Override public String toString() { return "FeatureEntryID"; } }; } private Function<Weighted<TokenPair>, Integer> eventFeatureId() { return new Function<Weighted<TokenPair>, Integer>() { @Override public Integer apply(Weighted<TokenPair> input) { return input.record().id2(); } @Override public String toString() { return "EventID"; } }; } private Function<Weighted<TokenPair>, String> eventFeatureString() { return new Function<Weighted<TokenPair>, String>() { @Override public String apply(Weighted<TokenPair> input) { try { return getIndexDeligate().getFeatureEnumerator().valueOf(input.record().id2()); } catch (IOException ex) { throw new RuntimeException(ex); } } @Override public String toString() { return "EventFeatureString"; } }; } private Function<Weighted<TokenPair>, String> eventEntryString() { return new Function<Weighted<TokenPair>, String>() { @Override public String apply(Weighted<TokenPair> input) { try { return getIndexDeligate().getEntryEnumerator().valueOf(input.record().id1()); } catch (IOException ex) { throw new RuntimeException(ex); } } @Override public String toString() { return "EventEntryString"; } }; } public double getFilterEventMinFreq() { return filterEventMinFreq; } public void setFilterEventMinFreq(double filterEventMinFreq) { this.filterEventMinFreq = filterEventMinFreq; } public double getFilterEntryMinFreq() { return filterEntryMinFreq; } public void setFilterEntryMinFreq(double filterEntryMinFreq) { this.filterEntryMinFreq = filterEntryMinFreq; } public String getFilterEntryPattern() { return filterEntryPattern; } public void setFilterEntryPattern(String filterEntryPattern) { this.filterEntryPattern = filterEntryPattern; } public File getFilterEntryWhitelist() { return filterEntryWhitelist; } public void setFilterEntryWhitelist(File filterEntryWhitelist) { this.filterEntryWhitelist = filterEntryWhitelist; } public double getFilterFeatureMinFreq() { return filterFeatureMinFreq; } public void setFilterFeatureMinFreq(double filterFeatureMinFreq) { this.filterFeatureMinFreq = filterFeatureMinFreq; } public String getFilterFeaturePattern() { return filterFeaturePattern; } public void setFilterFeaturePattern(String filterFeaturePattern) { this.filterFeaturePattern = filterFeaturePattern; } public File getFilterFeatureWhitelist() { return filterFeatureWhitelist; } public void setFilterFeatureWhitelist(File filterFeatureWhitelist) { this.filterFeatureWhitelist = filterFeatureWhitelist; } public void setFeatureEnumeratorFile(File featureEnumeratorFile) { indexDeligate.setFeatureEnumeratorFile(featureEnumeratorFile); } public void setEnumeratedFeatures(boolean enumeratedFeatures) { indexDeligate.setEnumeratedFeatures(enumeratedFeatures); } public void setEnumeratedEntries(boolean enumeratedEntries) { indexDeligate.setEnumeratedEntries(enumeratedEntries); } public void setEntryEnumeratorFile(File entryEnumeratorFile) { indexDeligate.setEntryEnumeratorFile(entryEnumeratorFile); } public boolean isEnumeratedFeatures() { return indexDeligate.isEnumeratedFeatures(); } public boolean isEnumeratedEntries() { return indexDeligate.isEnumeratedEntries(); } public File getFeatureEnumeratorFile() { return indexDeligate.getFeatureEnumeratorFile(); } public File getEntryEnumeratorFile() { return indexDeligate.getEntryEnumeratorFile(); } public final void setCharset(Charset charset) { fileDeligate.setCharset(charset); } public final Charset getCharset() { return fileDeligate.getCharset(); } public FileFactory getTempFiles() { return tempFiles; } public void setTempFiles(FileFactory tempFiles) { this.tempFiles = tempFiles; } public void setEnumeratorType(EnumeratorType type) { indexDeligate.setEnumeratorType(type); } public EnumeratorType getEnuemratorType() { return indexDeligate.getEnuemratorType(); } @Override public void removeProgressListener(ProgressListener progressListener) { progress.removeProgressListener(progressListener); } @Override public boolean isProgressPercentageSupported() { return progress.isProgressPercentageSupported(); } @Override public State getState() { return progress.getState(); } @Override public String getProgressReport() { return progress.getProgressReport(); } @Override public int getProgressPercent() { return progress.getProgressPercent(); } @Override public ProgressListener[] getProgressListeners() { return progress.getProgressListeners(); } @Override public String getName() { return "filter"; } @Override public void addProgressListener(ProgressListener progressListener) { progress.addProgressListener(progressListener); } @Override protected ToStringHelper toStringHelper() { return super.toStringHelper() .add("eventsIn", inputEventsFile) .add("entriesIn", inputEntriesFile) .add("featuresIn", inputFeaturesFile) .add("eventsOut", outputEventsFile) .add("entriesOut", outputEntriesFile) .add("featuresOut", outputFeaturesFile) .add("charset", getCharset()) .add("entryMinFreq", filterEntryMinFreq) .add("entryWhitelist", filterEntryWhitelist) .add("entryPattern", filterEntryPattern) .add("eventMinFreq", filterEventMinFreq) .add("featureMinFreq", filterFeatureMinFreq) .add("featureWhitelist", filterFeatureWhitelist) .add("featurePattern", filterFeaturePattern) .add("tmp", tempFiles) .add("acceptEntry", acceptEntry) .add("acceptFeature", acceptFeature) .add("acceptEvent", acceptEvent); } }
public void addFeaturesPattern(String pattern) {
setAcceptFeatures(
Predicates2.<Weighted<Token>>and(
getAcceptFeatures(),
Predicates2.compose(Predicates2.containsPattern(pattern), featureString())));
}
public void addFeaturesMinimumFrequency(double threshold) {
setAcceptFeatures(
Predicates2.<Weighted<Token>>and(
getAcceptFeatures(),
Predicates2.compose(Predicates2.gte(threshold), this.<Token>weight())));
}
// Filter the AllPairsTask file, rejecting all entries that where found to
// be only used by filtered entries.
private void filterFeatures() throws FileNotFoundException, IOException {
IntSet rejectedFeatures = new IntOpenHashSet();
WeightedTokenSource featureSource =
BybloIO.openFeaturesSource(activeFeaturesFile, getCharset(), indexDeligate);
File outputFile = tempFiles.createFile();
WeightedTokenSink featureSink =
BybloIO.openFeaturesSink(outputFile, getCharset(), indexDeligate);
progress.setMessage("Filtering features.");
// Store an filtered wieght here and record it so as to maintain
// accurate priors for those features that remain
double filteredWeight = 0;
int filteredId = getIndexDeligate().getFeatureEnumerator().indexOf(FILTERED_STRING);
long inCount = 0;
long outCount = 0;
while (featureSource.hasNext()) {
Weighted<Token> feature = featureSource.read();
++inCount;
if (feature.record().id() == filteredId) {
filteredWeight += feature.weight();
} else if (acceptFeature.apply(feature)) {
featureSink.write(feature);
++outCount;
} else {
rejectedFeatures.add(feature.record().id());
filteredWeight += feature.weight();
}
if ((inCount % PROGRESS_INTERVAL == 0 || !featureSource.hasNext()) && LOG.isInfoEnabled()) {
progress.setMessage(format("Accepted {0} of {1} features.", outCount, inCount));
LOG.debug(MiscUtil.memoryInfoString());
}
}
if (filteredWeight != 0) {
featureSink.write(new Weighted<Token>(new Token(filteredId), filteredWeight));
}
featureSource.close();
featureSink.flush();
featureSink.close();
if (!activeFeaturesFile.equals(inputFeaturesFile)) {
activeFeaturesFile.delete();
}
featureFilterRequired = false;
activeFeaturesFile = outputFile;
// Update the feature acceptance predicate
if (rejectedFeatures.size() > 0) {
eventFilterRequired = true;
acceptEvent =
Predicates2.and(
acceptEvent,
Predicates2.compose(
Predicates2.not(Predicates2.in(rejectedFeatures)), eventFeatureId()));
}
}
// Filter the AllPairsTask file, rejecting all entires that contain entries
// dropped in the entries file filter pass. Store a list of featuress that
// only appear in filtered entries to filter the featuress file.
private void filterEvents() throws FileNotFoundException, IOException {
IntSet acceptedEntries = new IntOpenHashSet();
IntSet rejectedEntries = new IntOpenHashSet();
IntSet rejectedFeatures = new IntOpenHashSet();
IntSet acceptedFeatures = new IntOpenHashSet();
WeightedTokenPairSource efSrc =
BybloIO.openEventsSource(activeEventsFile, getCharset(), indexDeligate);
File outputFile = tempFiles.createFile();
// outputFile.deleteOnExit();
WeightedTokenPairSink efSink = BybloIO.openEventsSink(outputFile, getCharset(), indexDeligate);
progress.setMessage("Filtering events from.");
// Store the id of the special filtered feature and entry
// TODO This can probably be removed now but need to check
final int filteredEntry = getIndexDeligate().getEntryEnumerator().indexOf(FILTERED_STRING);
final int filteredFeature = getIndexDeligate().getFeatureEnumerator().indexOf(FILTERED_STRING);
int currentEntryId = -1;
int currentEventCount = 0;
double currentEntryFilteredFeatureWeight = 0;
double filteredEntryWeight = 0;
int readCount = 0;
int writeCount = 0;
while (efSrc.hasNext()) {
Weighted<TokenPair> record = efSrc.read();
++readCount;
if (record.record().id1() == filteredEntry) {
filteredEntryWeight += record.weight();
continue;
}
if (record.record().id1() != currentEntryId) {
if (currentEntryId != -1 && currentEntryFilteredFeatureWeight != 0) {
if (currentEventCount == 0) {
filteredEntryWeight += currentEntryFilteredFeatureWeight;
} else {
efSink.write(
new Weighted<TokenPair>(
new TokenPair(currentEntryId, filteredFeature),
currentEntryFilteredFeatureWeight));
++writeCount;
}
}
currentEntryId = record.record().id1();
currentEntryFilteredFeatureWeight = 0;
currentEventCount = 0;
}
if (record.record().id2() == filteredFeature) {
currentEntryFilteredFeatureWeight += record.weight();
} else if (acceptEvent.apply(record)) {
efSink.write(record);
++writeCount;
acceptedEntries.add(record.record().id1());
acceptedFeatures.add(record.record().id2());
++currentEventCount;
} else {
rejectedEntries.add(record.record().id1());
rejectedFeatures.add(record.record().id2());
currentEntryFilteredFeatureWeight += record.weight();
}
if ((readCount % PROGRESS_INTERVAL == 0 || !efSrc.hasNext()) && LOG.isInfoEnabled()) {
progress.setMessage("Accepted " + writeCount + " of " + readCount + " events.");
LOG.debug(MiscUtil.memoryInfoString());
}
}
if (currentEntryId != -1 && currentEntryFilteredFeatureWeight != 0) {
if (currentEventCount == 0) {
filteredEntryWeight += currentEntryFilteredFeatureWeight;
} else {
efSink.write(
new Weighted<TokenPair>(
new TokenPair(currentEntryId, filteredFeature), currentEntryFilteredFeatureWeight));
}
}
// If there have been entire entries filtered then write their summed
// weights to a special filtered entry/feature pair
if (filteredEntryWeight != 0) {
efSink.write(
new Weighted<TokenPair>(
new TokenPair(filteredEntry, filteredFeature), filteredEntryWeight));
}
efSrc.close();
efSink.flush();
efSink.close();
if (!activeEventsFile.equals(inputEventsFile)) {
activeEventsFile.delete();
}
eventFilterRequired = false;
activeEventsFile = outputFile;
rejectedFeatures.removeAll(acceptedFeatures);
rejectedEntries.removeAll(acceptedEntries);
if (rejectedEntries.size() > 0) {
acceptEntry =
Predicates2.and(
acceptEntry,
Predicates2.compose(Predicates2.not(Predicates2.in(rejectedEntries)), id()));
entryFilterRequired = true;
}
if (rejectedFeatures.size() > 0) {
acceptFeature =
Predicates2.and(
acceptFeature,
Predicates2.not(Predicates2.compose(Predicates2.in(rejectedFeatures), id())));
featureFilterRequired = true;
}
}
private void filterEntries() throws FileNotFoundException, IOException {
final IntSet rejected = new IntOpenHashSet();
WeightedTokenSource entriesSource =
BybloIO.openEntriesSource(activeEntriesFile, getCharset(), getIndexDeligate());
File outputFile = tempFiles.createFile();
WeightedTokenSink entriesSink =
BybloIO.openEntriesSink(outputFile, getCharset(), getIndexDeligate());
progress.setMessage("Filtering entries.");
final int filteredEntry = getIndexDeligate().getEntryEnumerator().indexOf(FILTERED_STRING);
double filteredWeight = 0;
long inCount = 0;
long outCount = 0;
while (entriesSource.hasNext()) {
++inCount;
Weighted<Token> record = entriesSource.read();
if (record.record().id() == filteredEntry) {
filteredWeight += record.weight();
} else if (acceptEntry.apply(record)) {
entriesSink.write(record);
++outCount;
} else {
rejected.add(record.record().id());
filteredWeight += record.weight();
}
if ((inCount % PROGRESS_INTERVAL == 0 || !entriesSource.hasNext()) && LOG.isInfoEnabled()) {
progress.setMessage(format("Accepted {0} of {1} entries.", outCount, inCount));
LOG.debug(MiscUtil.memoryInfoString());
}
}
if (filteredWeight != 0) {
entriesSink.write(new Weighted<Token>(new Token(filteredEntry), filteredWeight));
}
entriesSource.close();
entriesSink.flush();
entriesSink.close();
if (!activeEntriesFile.equals(inputEntriesFile)) {
activeEntriesFile.delete();
}
entryFilterRequired = false;
activeEntriesFile = outputFile;
// Update the feature acceptance predicate
if (rejected.size() > 0) {
eventFilterRequired = true;
acceptEvent =
Predicates2.and(
acceptEvent,
Predicates2.compose(Predicates2.not(Predicates2.in(rejected)), eventEntryId()));
}
}
