predictors: Update the resource_prefetch_predictor db tool.

tools/resource_prefetch_predictor/prefetch_predictor_tool.py

Index: tools/resource_prefetch_predictor/prefetch_predictor_tool.py
diff --git a/tools/resource_prefetch_predictor/prefetch_predictor_tool.py b/tools/resource_prefetch_predictor/prefetch_predictor_tool.py
index 0e9657a897f1623b61c235c7f60e59ff082728d3..1160f5f3a108505cfa20615fbccb5e881286ee22 100755
--- a/tools/resource_prefetch_predictor/prefetch_predictor_tool.py
+++ b/tools/resource_prefetch_predictor/prefetch_predictor_tool.py
@@ -12,74 +12,80 @@ adb pull \
 """
 
 import argparse
-import operator
 import sqlite3
 
-from resource_prefetch_predictor_pb2 import ResourceData
+from resource_prefetch_predictor_pb2 import (PrefetchData, ResourceData)
 
 
 class Entry(object):
   """Represents an entry in the predictor database."""
   def __init__(
-      self, main_page_url, resource_url, proto_buffer):
-    self.main_page_url = main_page_url
-    self.resource_url = resource_url
-    self.proto = ResourceData()
-    self.proto.ParseFromString(proto_buffer)
-    self.confidence = float(self.proto.number_of_hits / (
-        self.proto.number_of_hits + self.proto.number_of_misses))
-    self.score = self._Score()
-
-  def _Score(self):
-    """Mirrors ResourcePrefetchPredictorTables::ComputeResourceScore."""
+      self, primary_key, proto_buffer):
+    self.primary_key = primary_key
+    self.prefetch_data = PrefetchData()
+    self.prefetch_data.ParseFromString(proto_buffer)
+
+  @classmethod
+  def _ComputeResourceScore(cls, resource):
+    """Mirrors ResourcePrefetchPredictorTables::ComputeResourceScore.
+
+    Args:
+      resource: ResourceData.
+
+    Return:
+      The resource score (int).
+    """
     priority_multiplier = 1
     type_multiplier = 1
 
-    if self.proto.priority == ResourceData.REQUEST_PRIORITY_HIGHEST:
+    if resource.priority == ResourceData.REQUEST_PRIORITY_HIGHEST:
       priority_multiplier = 3
-    elif self.proto.priority == ResourceData.REQUEST_PRIORITY_MEDIUM:
+    elif resource.priority == ResourceData.REQUEST_PRIORITY_MEDIUM:
       priority_multiplier = 2
 
-    if self.proto.resource_type in (ResourceData.RESOURCE_TYPE_STYLESHEET,
-                                    ResourceData.RESOURCE_TYPE_SCRIPT):
+    if resource.resource_type in (ResourceData.RESOURCE_TYPE_STYLESHEET,
+                                  ResourceData.RESOURCE_TYPE_SCRIPT):
       type_multiplier = 3
-    elif self.proto.resource_type == ResourceData.RESOURCE_TYPE_FONT_RESOURCE:
+    elif resource.resource_type == ResourceData.RESOURCE_TYPE_FONT_RESOURCE:
       type_multiplier = 2
 
-      return (100 * (priority_multiplier * 100 + type_multiplier * 10)
-              - self.proto.average_position)
+    return (100 * (priority_multiplier * 100 + type_multiplier * 10)
+            - resource.average_position)
 
   @classmethod
   def FromRow(cls, row):
     """Builds an entry from a database row."""
     return Entry(*row)
 
-  def __str__(self):
-    return 'score: %s\nmain_page_url: %s\nconfidence: %f"\n%s' % (
-        self.score, self.main_page_url, self.confidence, self.proto)
-
-
-def FilterAndSort(entries, domain):
-  """Filters and sorts the entries to be prefetched for a given domain.
-
-  Uses the default thresholds defined in resource_prefetch_common.cc.
-  """
-  result = filter(
-      lambda x: ((domain is None or x.main_page_url == domain)
-                 and x.confidence > .7
-                 and x.proto.number_of_hits >= 2), entries)
-  return sorted(result, key=operator.attrgetter('score'), reverse=True)
+  @classmethod
+  def _PrettyPrintResource(cls, resource):
+    """Pretty-prints a resource to stdout.
+
+    Args:
+      resource: ResourceData.
+    """
+    print 'score: %d' % cls._ComputeResourceScore(resource)
+    print resource
+
+  def PrettyPrintCandidates(self):
+    """Prints the candidates for prefetch."""
+    print 'primary_key: %s' % self.prefetch_data.primary_key
+    for resource in self.prefetch_data.resources:
+      confidence = float(resource.number_of_hits) / (
+          resource.number_of_hits + resource.number_of_misses)
+      if resource.number_of_hits < 2 or confidence < .7:
+        continue
+      self._PrettyPrintResource(resource)
 
 
 def DatabaseStats(filename, domain):
   connection = sqlite3.connect(filename)
   c = connection.cursor()
-  query = ('SELECT main_page_url, resource_url, proto '
-           'FROM resource_prefetch_predictor_host')
+  query = ('SELECT key, proto FROM resource_prefetch_predictor_host')
   entries = [Entry.FromRow(row) for row in c.execute(query)]
-  prefetched = FilterAndSort(entries, domain)
-  for x in prefetched:
-    print x
+  for x in entries:
+    if domain is None or x.primary_key == domain:
+      x.PrettyPrintCandidates()
 
 
 def main():