implementation of the Gatherer class for CountCovariates, which makes it now scatter/gatherable. Kudos to the @Gather annotation Khalid just introduced!
QuickCCTest is my test script for the gatherer. git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5547 348d0f76-0448-11de-a6fe-93d51630548a
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@ -21,7 +21,7 @@ import java.util.regex.Pattern;
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*/
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public class CountCovariatesGatherer extends Gatherer {
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public class CountCovariatesGatherer extends Gatherer {
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/////////////////////////////
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// Private Member Variables
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@ -30,27 +30,24 @@ public class CountCovariatesGatherer extends Gatherer {
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private static final Pattern COVARIATE_PATTERN = Pattern.compile("^ReadGroup,QualityScore,.*");
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private static final String EOF_MARKER = "EOF";
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private HashMap<String, int[]> dataMap;
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private HashMap<String, RecalDatumOptimized> dataMap;
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private void addCSVData (String line) {
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String[] covariates = line.split(",");
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String key = "";
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int [] values = new int[3];
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RecalDatumOptimized values;
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for (int i = 0; i < covariates.length-3; i++) {
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key += covariates[i] + ",";
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}
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for (int i = covariates.length-3; i < covariates.length; i++) {
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values[i] = Integer.parseInt(covariates[i].trim());
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}
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values = new RecalDatumOptimized(Integer.parseInt(covariates[covariates.length-3]),
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Integer.parseInt(covariates[covariates.length-2]));
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if (dataMap.get(key) != null) {
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int [] currentValues = dataMap.get(key);
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for (int i = 0; i < 2; i++) {
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values[i] += currentValues[i];// todo -- update the third value using the CountCovariatesWalker function
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}
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RecalDatumOptimized currentValues = dataMap.get(key);
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values.increment(currentValues);
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}
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dataMap.put(key, values);
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@ -58,7 +55,7 @@ public class CountCovariatesGatherer extends Gatherer {
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@Override
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public void gather(List<File> inputs, File output) {
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dataMap = new HashMap<String, int[]>();
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dataMap = new HashMap<String, RecalDatumOptimized>();
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PrintStream o;
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try {
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o = new PrintStream(output);
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@ -67,7 +64,7 @@ public class CountCovariatesGatherer extends Gatherer {
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}
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boolean sawEOF = false;
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boolean headerPrinted = false;
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boolean printedHeader = false;
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// Read input files
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for ( File RECAL_FILE : inputs) {
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@ -76,11 +73,12 @@ public class CountCovariatesGatherer extends Gatherer {
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if ( EOF_MARKER.equals(line) ) {
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sawEOF = true; // sanity check
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}
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else if( COMMENT_PATTERN.matcher(line).matches() || COVARIATE_PATTERN.matcher(line).matches() ) {
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if (!headerPrinted) {
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headerPrinted = true;
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else if(COMMENT_PATTERN.matcher(line).matches()) {
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; // It doesn't make any sense to print intermediate comments, unless we merge them somehow (would require strict definition for the header)
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}
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else if (COVARIATE_PATTERN.matcher(line).matches()) {
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if (!printedHeader)
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o.println(line);
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} // Skip over the header (could check if headers are the same, but probably not necessary)
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}
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else { // Found a line of data
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addCSVData(line); // Parse the line and add the data to the HashMap
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@ -95,14 +93,15 @@ public class CountCovariatesGatherer extends Gatherer {
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final String errorMessage = "No EOF marker was present in the recal covariates table; this could mean that the file is corrupted!";
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throw new UserException.MalformedFile(RECAL_FILE, errorMessage);
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}
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printedHeader = true;
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}
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// Write output file from dataMap
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for(String key : dataMap.keySet()) {
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int [] values = dataMap.get(key);
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String v = "," + values[0] + "," + values[1] + "," + values[2];
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RecalDatumOptimized values = dataMap.get(key);
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String v = values.getNumObservations() + "," + values.getNumMismatches() + "," + values.empiricalQualByte();
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o.println(key + v);
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}
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o.println("EOF");
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}
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}
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@ -92,13 +92,13 @@ public class CountCovariatesWalker extends LocusWalker<CountCovariatesWalker.Cou
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@ArgumentCollection private RecalibrationArgumentCollection RAC = new RecalibrationArgumentCollection();
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@Output
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@Gather(CountCovariatesGatherer.class)
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PrintStream out;
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/////////////////////////////
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// Command Line Arguments
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/////////////////////////////
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@Output(fullName="recal_file", shortName="recalFile", required=true, doc="Filename for the outputted covariates table recalibration file")
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@Gather(CountCovariatesGatherer.class)
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public PrintStream RECAL_FILE;
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@Argument(fullName="list", shortName="ls", doc="List the available covariates and exit", required=false)
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@ -33,6 +33,8 @@ class QuickCCTest extends QScript {
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def script = {
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val recal = new File("recal.csv")
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val cc = new CountCovariates()
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cc.reference_sequence = reference
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cc.input_file :+= input
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@ -40,7 +42,8 @@ class QuickCCTest extends QScript {
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cc.intervalsString = intervals
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cc.covariate ++= List("ReadGroupCovariate", "QualityScoreCovariate", "CycleCovariate", "DinucCovariate")
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cc.scatterCount = 4
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cc.recal_file = new File("recal.csv")
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cc.recal_file = recal
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cc.memoryLimit = 4
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add(cc);
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}
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