private static void addFolder(FileSystem fs, Path p, JsonArray succeeded, JsonArray failed) {
try {
if (fs == null) return;
for (FileStatus file : fs.listStatus(p)) {
Path pfs = file.getPath();
if (file.isDir()) {
addFolder(fs, pfs, succeeded, failed);
} else {
Key k = Key.make(pfs.toString());
long size = file.getLen();
Value val = null;
if (pfs.getName().endsWith(Extensions.JSON)) {
JsonParser parser = new JsonParser();
JsonObject json = parser.parse(new InputStreamReader(fs.open(pfs))).getAsJsonObject();
JsonElement v = json.get(Constants.VERSION);
if (v == null) throw new RuntimeException("Missing version");
JsonElement type = json.get(Constants.TYPE);
if (type == null) throw new RuntimeException("Missing type");
Class c = Class.forName(type.getAsString());
OldModel model = (OldModel) c.newInstance();
model.fromJson(json);
} else if (pfs.getName().endsWith(Extensions.HEX)) { // Hex file?
FSDataInputStream s = fs.open(pfs);
int sz = (int) Math.min(1L << 20, size); // Read up to the 1st meg
byte[] mem = MemoryManager.malloc1(sz);
s.readFully(mem);
// Convert to a ValueArray (hope it fits in 1Meg!)
ValueArray ary = new ValueArray(k, 0).read(new AutoBuffer(mem));
val = new Value(k, ary, Value.HDFS);
} else if (size >= 2 * ValueArray.CHUNK_SZ) {
val =
new Value(
k,
new ValueArray(k, size),
Value.HDFS); // ValueArray byte wrapper over a large file
} else {
val = new Value(k, (int) size, Value.HDFS); // Plain Value
val.setdsk();
}
DKV.put(k, val);
Log.info("PersistHdfs: DKV.put(" + k + ")");
JsonObject o = new JsonObject();
o.addProperty(Constants.KEY, k.toString());
o.addProperty(Constants.FILE, pfs.toString());
o.addProperty(Constants.VALUE_SIZE, file.getLen());
succeeded.add(o);
}
}
} catch (Exception e) {
Log.err(e);
JsonObject o = new JsonObject();
o.addProperty(Constants.FILE, p.toString());
o.addProperty(Constants.ERROR, e.getMessage());
failed.add(o);
}
}
@Override
public final double score(double[] data) {
int j = 0;
for (int i = 0; i < _xCols.length; ++i)
_row[j++] =
(_catMap == null || _catMap[i] == null)
? data[_xCols[i]]
: translateCat(i, data[_xCols[i]]);
return M.score0(_row);
}
@Override
public double score(ValueArray data, AutoBuffer ab, int row) {
int j = 0;
for (int i = 0; i < _xCols.length; ++i)
_row[j++] =
data.isNA(ab, row, _xCols[i])
? Double.NaN
: (_catMap == null || _catMap[i] == null)
? data.datad(ab, row, _xCols[i])
: translateCat(i, (int) data.data(ab, row, _xCols[i]));
return M.score0(_row);
}
@Override
public final OldModel adapt(String[] cols) {
return M.adapt(cols);
}
// keep only one adaptor layer! (just in case there would be multiple adapt calls...)
@Override
public final OldModel adapt(ValueArray ary) {
return M.adapt(ary);
}
@Override
public JsonObject toJson() {
return M.toJson();
}
