Add CSV loader for phenotype data

Introduced CSVLoaderNewSearch class to facilitate loading phenotype data from CSV files. Enhancements were made to the LoadingStore class, including writing column metadata to a CSV file. These changes improve data processing and metadata management functionality within the ETL workflow.

etl/src/main/java/edu/harvard/hms/dbmi/avillach/hpds/etl/phenotype/CSVLoaderNewSearch.java

@@ -0,0 +1,119 @@
+package edu.harvard.hms.dbmi.avillach.hpds.etl.phenotype;
+
+import edu.harvard.hms.dbmi.avillach.hpds.crypto.Crypto;
+import edu.harvard.hms.dbmi.avillach.hpds.data.phenotype.PhenoCube;
+import org.apache.commons.csv.CSVFormat;
+import org.apache.commons.csv.CSVRecord;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.*;
+import java.util.Date;
+
+@SuppressWarnings({"unchecked", "rawtypes"})
+public class CSVLoaderNewSearch {
+
+    private static final LoadingStore store = new LoadingStore();
+
+    private static final Logger log = LoggerFactory.getLogger(CSVLoaderNewSearch.class);
+
+    private static final int PATIENT_NUM = 0;
+
+    private static final int CONCEPT_PATH = 1;
+
+    private static final int NUMERIC_VALUE = 2;
+
+    private static final int TEXT_VALUE = 3;
+
+    private static final int DATETIME = 4;
+
+    private static boolean DO_VARNAME_ROLLUP = false;
+
+    private static final String HPDS_DIRECTORY = "/opt/local/hpds/";
+
+    public static void main(String[] args) throws IOException {
+        if (args.length > 1) {
+            if (args[0].equalsIgnoreCase("NO_ROLLUP")) {
+                log.info("NO_ROLLUP SET.");
+                DO_VARNAME_ROLLUP = false;
+            }
+        }
+        store.allObservationsStore = new RandomAccessFile(HPDS_DIRECTORY + "allObservationsStore.javabin", "rw");
+        initialLoad();
+        store.saveStore(HPDS_DIRECTORY);
+        store.dumpStatsAndColumnMeta(HPDS_DIRECTORY);
+    }
+
+    private static void initialLoad() throws IOException {
+        Crypto.loadDefaultKey();
+        Reader in = new FileReader(HPDS_DIRECTORY + "allConcepts.csv");
+        Iterable<CSVRecord> records = CSVFormat.DEFAULT.withSkipHeaderRecord().withFirstRecordAsHeader().parse(new BufferedReader(in, 1024 * 1024));
+
+        final PhenoCube[] currentConcept = new PhenoCube[1];
+        for (CSVRecord record : records) {
+            processRecord(currentConcept, record);
+        }
+    }
+
+    private static void processRecord(final PhenoCube[] currentConcept, CSVRecord record) {
+        if (record.size() < 4) {
+            log.info("Record number {} had less records than we expected so we are skipping it.", record.getRecordNumber());
+            return;
+        }
+
+        String conceptPath = getSanitizedConceptPath(record);
+        String numericValue = record.get(NUMERIC_VALUE);
+        boolean isAlpha = (numericValue == null || numericValue.isEmpty());
+        String value = isAlpha ? record.get(TEXT_VALUE) : numericValue;
+        currentConcept[0] = getPhenoCube(currentConcept[0], conceptPath, isAlpha);
+
+        if (value != null && !value.trim().isEmpty() &&
+            ((isAlpha && currentConcept[0].vType == String.class) || (!isAlpha && currentConcept[0].vType == Double.class))) {
+            value = value.trim();
+            currentConcept[0].setColumnWidth(isAlpha ? Math.max(currentConcept[0].getColumnWidth(), value.getBytes().length) : Double.BYTES);
+            int patientId = Integer.parseInt(record.get(PATIENT_NUM));
+            Date date = null;
+            if (record.size() > 4 && record.get(DATETIME) != null && !record.get(DATETIME).isEmpty()) {
+                date = new Date(Long.parseLong(record.get(DATETIME)));
+            }
+            currentConcept[0].add(patientId, isAlpha ? value : Double.parseDouble(value), date);
+            store.allIds.add(patientId);
+        }
+    }
+
+    private static PhenoCube getPhenoCube(PhenoCube currentConcept, String conceptPath, boolean isAlpha) {
+        if (currentConcept == null || !currentConcept.name.equals(conceptPath)) {
+            currentConcept = store.store.getIfPresent(conceptPath);
+            if (currentConcept == null) {
+                currentConcept = new PhenoCube(conceptPath, isAlpha ? String.class : Double.class);
+                store.store.put(conceptPath, currentConcept);
+            }
+        }
+
+        return currentConcept;
+    }
+
+    private static String getSanitizedConceptPath(CSVRecord record) {
+        String conceptPathFromRow = record.get(CONCEPT_PATH);
+        String[] segments = conceptPathFromRow.split("\\\\");
+        for (int x = 0; x < segments.length; x++) {
+            segments[x] = segments[x].trim();
+        }
+        conceptPathFromRow = String.join("\\", segments) + "\\";
+        conceptPathFromRow = conceptPathFromRow.replaceAll("\\ufffd", "");
+        String textValueFromRow = record.get(TEXT_VALUE) == null ? null : record.get(TEXT_VALUE).trim();
+        if (textValueFromRow != null) {
+            textValueFromRow = textValueFromRow.replaceAll("\\ufffd", "");
+        }
+        String conceptPath;
+
+        if (DO_VARNAME_ROLLUP) {
+            conceptPath = conceptPathFromRow.endsWith("\\" + textValueFromRow + "\\") ? conceptPathFromRow.replaceAll("\\\\[^\\\\]*\\\\$", "\\\\") : conceptPathFromRow;
+        } else {
+            conceptPath = conceptPathFromRow;
+        }
+        return conceptPath;
+    }
+
+
+}

etl/src/main/java/edu/harvard/hms/dbmi/avillach/hpds/etl/phenotype/LoadingStore.java

@@ -1,11 +1,17 @@
 package edu.harvard.hms.dbmi.avillach.hpds.etl.phenotype;
 
 import java.io.*;
+import java.nio.file.Files;
+import java.nio.file.Paths;
+import java.nio.file.StandardOpenOption;
 import java.util.*;
+import java.util.concurrent.atomic.AtomicInteger;
 import java.util.stream.Collectors;
 import java.util.zip.GZIPInputStream;
 import java.util.zip.GZIPOutputStream;
 
+import org.apache.commons.csv.CSVFormat;
+import org.apache.commons.csv.CSVPrinter;
 import org.slf4j.Logger;
 import org.slf4j.LoggerFactory;
 
@@ -106,12 +112,12 @@ public PhenoCube load(String key) throws Exception {
 
 	public TreeSet<Integer> allIds = new TreeSet<Integer>();
 
-	public void saveStore(String hpdsDirectory) throws FileNotFoundException, IOException {
+	public void saveStore(String hpdsDirectory) throws IOException {
 		System.out.println("Invalidating store");
 		store.invalidateAll();
 		store.cleanUp();
 		System.out.println("Writing metadata");
-		ObjectOutputStream metaOut = new ObjectOutputStream(new GZIPOutputStream(new FileOutputStream(new File(hpdsDirectory + "columnMeta.javabin"))));
+		ObjectOutputStream metaOut = new ObjectOutputStream(new GZIPOutputStream(new FileOutputStream(hpdsDirectory + "columnMeta.javabin")));
 		metaOut.writeObject(metadataMap);
 		metaOut.writeObject(allIds);
 		metaOut.flush();
@@ -149,5 +155,55 @@ public void dumpStats() {
 		}
 	}
 
+	/**
+	 * This method will display counts for the objects stored in the metadata.
+	 * This will also write out a csv file used by the data dictionary importer.
+	 */
+	public void dumpStatsAndColumnMeta(String hpdsDirectory) {
+		try (ObjectInputStream objectInputStream =
+					 new ObjectInputStream(new GZIPInputStream(new FileInputStream(hpdsDirectory + "columnMeta.javabin")));){
+			TreeMap<String, ColumnMeta> metastore = (TreeMap<String, ColumnMeta>) objectInputStream.readObject();
+			try(BufferedWriter writer = Files.newBufferedWriter(Paths.get(hpdsDirectory + "columnMeta.csv"), StandardOpenOption.CREATE, StandardOpenOption.TRUNCATE_EXISTING)) {
+				CSVPrinter printer = new CSVPrinter(writer, CSVFormat.DEFAULT);
+				for(String key : metastore.keySet()) {
+					ColumnMeta columnMeta = metastore.get(key);
+					Object[] columnMetaOut = new Object[11];
+
+					StringBuilder listQuoted = new StringBuilder();
+					AtomicInteger x = new AtomicInteger(1);
+
+					if(columnMeta.getCategoryValues() != null){
+						if(!columnMeta.getCategoryValues().isEmpty()) {
+							columnMeta.getCategoryValues().forEach(string -> {
+								listQuoted.append(string);
+								if(x.get() != columnMeta.getCategoryValues().size()) listQuoted.append("µ");
+								x.incrementAndGet();
+							});
+						}
+					}
+
+					columnMetaOut[0] = columnMeta.getName();
+					columnMetaOut[1] = String.valueOf(columnMeta.getWidthInBytes());
+					columnMetaOut[2] = String.valueOf(columnMeta.getColumnOffset());
+					columnMetaOut[3] = String.valueOf(columnMeta.isCategorical());
+					// this should nest the list of values in a list inside the String array.
+					columnMetaOut[4] = listQuoted;
+					columnMetaOut[5] = String.valueOf(columnMeta.getMin());
+					columnMetaOut[6] = String.valueOf(columnMeta.getMax());
+					columnMetaOut[7] = String.valueOf(columnMeta.getAllObservationsOffset());
+					columnMetaOut[8] = String.valueOf(columnMeta.getAllObservationsLength());
+					columnMetaOut[9] = String.valueOf(columnMeta.getObservationCount());
+					columnMetaOut[10] = String.valueOf(columnMeta.getPatientCount());
+
+					printer.printRecord(columnMetaOut);
+				}
+
+				writer.flush();
+            }
+
+		} catch (IOException | ClassNotFoundException e) {
+			throw new RuntimeException("Could not load metastore", e);
+		}
+	}
 
 }