/**
* Parses the pattern string, which should be a comma separated list of regular expressions, each
* of which may be surrounded with double quotes.
*
* @param inStr pattern string to parse
* @return list of pattern regular expressions
*/
private ArrayList<Pattern> parsePatternString(String inStr) {
ArrayList<Pattern> result = new ArrayList<Pattern>();
StrTokenizer tokenizer = new StrTokenizer(inStr, ',', '"');
tokenizer.setIgnoreEmptyTokens(true);
tokenizer.setIgnoredMatcher(StrMatcher.charSetMatcher(" \t\n\r"));
while (tokenizer.hasNext()) {
String tok = (String) tokenizer.next();
Pattern pat = Pattern.compile(tok);
result.add(pat);
}
return result;
}
protected static <T> void parseEDISegmentFields(
EDIMessage ediMessage, Object segment, String segmentLine)
throws IllegalAccessException, InvocationTargetException, ClassNotFoundException,
ConversionException, InstantiationException {
if (LOG.isDebugEnabled()) {
LOG.debug("Before Field Values: " + ReflectionToStringBuilder.toString(segment));
LOG.debug("Segment Values: " + segmentLine);
}
// now, tokenize the line, and set the fields.
StrTokenizer tokenizer = new StrTokenizer(segmentLine, ediMessage.elementDelimiter());
tokenizer.setEmptyTokenAsNull(true);
tokenizer.setIgnoreEmptyTokens(false);
// move past the initial tag.
tokenizer.next();
Iterator<Field> fieldIterator =
Arrays.asList(segment.getClass().getDeclaredFields()).iterator();
while (tokenizer.hasNext() && fieldIterator.hasNext()) {
Field field = fieldIterator.next();
String val = tokenizer.nextToken();
// check field to see if it is a component of regular field type.
if (field.isAnnotationPresent(EDIComponent.class)) {
EDIComponent ediComponent = field.getAnnotation(EDIComponent.class);
Collection obj = CollectionFactory.newInstance(field.getType());
Class objType = getCollectionType(field);
char componentDelimiter =
ediComponent.delimiter() == Character.UNASSIGNED
? ediMessage.componentDelimiter()
: ediComponent.delimiter();
// parse each element to the collection.
StrTokenizer componentTokenizer = new StrTokenizer(val, componentDelimiter);
componentTokenizer.setEmptyTokenAsNull(true);
componentTokenizer.setIgnoreEmptyTokens(false);
while (componentTokenizer.hasNext()) {
String component = componentTokenizer.nextToken();
Object fieldObj =
objType.cast(FieldAwareConverter.convertFromString(objType, field, component));
obj.add(fieldObj);
}
BeanUtils.setProperty(segment, field.getName(), obj);
} else {
if (val == null) {
LOG.debug(" " + field.getName() + " -> null");
continue;
}
// try and populate the field.
try {
Object fieldObj = FieldAwareConverter.convertFromString(field.getType(), field, val);
LOG.debug(" " + field.getName() + " -> " + val);
BeanUtils.setProperty(segment, field.getName(), fieldObj);
} catch (Exception e) {
throw new ConversionException(
"Exception setting: "
+ segment.getClass()
+ "."
+ field.getName()
+ " with value: "
+ val,
e);
}
}
}
if (LOG.isDebugEnabled()) {
LOG.debug("After Field Values: " + ReflectionToStringBuilder.toString(segment));
}
}
static List<double[]> readDataBodyAsDouble(
BufferedReader br, int[] remappedColumns, int mappedColumnCount)
throws NumberFormatException, IOException {
List<double[]> rows = new ArrayList<double[]>(500);
int colCount = 0; // Number of columns (minus one) - must match in each row
int curRow = 0; // Current row number - 0 based;
String s = null; // Single line from file
while ((s = br.readLine()) != null) {
StrTokenizer strTk = new StrTokenizer(s);
strTk.setIgnoreEmptyTokens(false);
strTk.setDelimiterChar('\t');
String src[] = strTk.getTokenArray();
// String src[] = s.split("\t");
if (isNonEmptyLine(src)) {
if (colCount == 0) {
colCount = src.length; // initialize column count
if (remappedColumns == null) {
// assign default mapping now
remappedColumns = new int[colCount];
for (int i = 0; i < colCount; i++) {
remappedColumns[i] = i;
}
mappedColumnCount = colCount;
}
} else {
if (src.length != colCount) {
for (int i = 0; i < src.length; i++) {
System.out.println(i + ": " + src[i]);
}
throw new IllegalStateException(
"Parse Error: Row "
+ curRow
+ " has "
+ src.length
+ " columns, previous columns had "
+ colCount
+ " columns.");
}
}
double[] row = new double[mappedColumnCount];
for (int i = 0; i < src.length; i++) {
if (remappedColumns[i] != -1) {
if (src[i].length() > 0) {
// Simple hack to ignore text columns in the predict.txt file
try {
row[remappedColumns[i]] = Double.parseDouble(src[i]);
} catch (Exception e) {
row[remappedColumns[i]] = Double.NaN;
}
} else {
row[remappedColumns[i]] = 0;
}
}
}
rows.add(row);
} else {
// ignore empty lines
}
curRow++;
}
log.debug("Found " + curRow + " rows in predict.txt file.");
return rows;
}