a couple of minor fixes for timbre analysis

server/djrandom/mood/extract_features.py

@@ -14,12 +14,21 @@ from djrandom.mood import mood
 log = logging.getLogger(__name__)
 
 
+def vector_from_file(path):
+    ln = os.path.join('/tmp', '__analysis_%s.mp3' % os.path.basename(path))
+    os.symlink(path, ln)
+    try:
+        return mood.vector_from_file(ln)
+    finally:
+        os.unlink(ln)
+
+
 class FeatureExtractor(processor.Processor):
 
     def process(self, mp3):
         log.info('extracting features from %s' % mp3.sha1)
         try:
-            timbre_vector = mood.vector_from_file(mp3.path)
+            timbre_vector = vector_from_file(mp3.path)
         except Exception, e:
             log.error('error processing %s: %s' % (mp3.sha1, e))
             return

server/djrandom/mood/mood.cc

@@ -104,8 +104,8 @@ string vector_from_file(const string& filename)
   // Shift the start over so that the duration is in the middle
   mrs_natural start = (slength - numsamps)/2;
 
-  fnet->updctrl("SoundFileSource/src/mrs_natural/start", start);
-  fnet->updctrl("SoundFileSource/src/mrs_natural/duration", numsamps);
+  fnet->updctrl("SoundFileSource/src/mrs_natural/pos", start);
+  fnet->updctrl("SoundFileSource/src/mrs_natural/onSamples", numsamps);
 
   // ----------------- Accumulator ---------------------------------