added benchmark to see if requests are handles sequential or in parallel

planet/models/interpro.py

@@ -7,6 +7,8 @@
 
 from sqlalchemy.orm import joinedload
 
+from utils.benchmark import benchmark
+
 SQL_COLLATION = 'NOCASE' if db.engine.name == 'sqlite' else ''
 
 
@@ -98,19 +100,22 @@ def sequence_stats(sequence_ids):
         return output
 
     @property
+    @benchmark
     def interpro_stats(self):
         sequence_ids = [s.id for s in self.sequences.all()]
 
         return Interpro.sequence_stats(sequence_ids)
 
     @property
+    @benchmark
     def go_stats(self):
         from planet.models.go import GO
         sequence_ids = [s.id for s in self.sequences.all()]
 
         return GO.sequence_stats(sequence_ids)
 
     @property
+    @benchmark
     def family_stats(self):
         from planet.models.gene_families import GeneFamily
         sequence_ids = [s.id for s in self.sequences.all()]

utils/benchmark.py

@@ -17,7 +17,7 @@ def timed(*args, **kw):
 
         args_str = (str(args)[:75] + ' ... ') if len(str(args)) > 75 else str(args)
 
-        print('%r (%r, %r) %2.3f sec' % (method.__name__, args_str, kw, te-ts))
+        print('%r: started: %2.3f, ran: %2.3f sec' % (method.__name__, ts,  te-ts))
         return result
 
     return timed