old_contents: from haystack import indexes
  from packages.models import Package
  
  
  class PackageIndex(indexes.RealTimeSearchIndex, indexes.Indexable):
      text = indexes.CharField(document=True, use_template=True)
      name = indexes.CharField(model_attr="name", boost=1.5)
      summary = indexes.CharField(null=True)
      downloads = indexes.IntegerField(model_attr="downloads", indexed=False)
      url = indexes.CharField(model_attr="get_absolute_url", indexed=False)
      platform = indexes.CharField(null=True, faceted=True)
      license = indexes.CharField(null=True, faceted=True)
      versions = indexes.MultiValueField(null=True)
      release_count = indexes.IntegerField(default=0)
      modified = indexes.DateTimeField(model_attr='modified', faceted=True)
  
      def get_model(self):
          return Package
  
      def prepare(self, obj):
          data = super(PackageIndex, self).prepare(obj)
          # We want to scale the boost for this document based on how many downloads have
          #   been recorded for this package.
  
          if obj.latest:
              data['summary'] = obj.latest.summary
              data['platform'] = obj.latest.platform
              data['license'] = obj.latest.license
  
          # Pack in all the versions in decending order.
          releases = obj.releases.order_by('-created')
          data['versions'] = [release.version for release in releases if release.version]
          data['release_count'] = releases.count()
  
          # @@@ Might want to actually tier these values instead of percentage them.
          # Cap out downloads at 100k
          capped_downloads = min(data["downloads"], 10000)
          boost = capped_downloads / 10000.0
          data["_boost"] = 1.0 + boost
  
          return data
  
new_contents: from haystack import indexes
  from packages.models import Package
  
  
  class PackageIndex(indexes.RealTimeSearchIndex, indexes.Indexable):
      text = indexes.CharField(document=True, use_template=True)
      name = indexes.CharField(model_attr="name", boost=1.5)
      summary = indexes.CharField(null=True)
      downloads = indexes.IntegerField(model_attr="downloads", indexed=False)
      url = indexes.CharField(model_attr="get_absolute_url", indexed=False)
      platform = indexes.CharField(null=True, faceted=True)
      license = indexes.CharField(null=True, faceted=True)
      versions = indexes.MultiValueField(null=True)
      release_count = indexes.IntegerField(default=0)
      modified = indexes.DateTimeField(model_attr='modified', faceted=True)
  
      def get_model(self):
          return Package
  
      def prepare(self, obj):
          data = super(PackageIndex, self).prepare(obj)
  
          if obj.latest:
              data['summary'] = obj.latest.summary
              data['platform'] = obj.latest.platform
              data['license'] = obj.latest.license
  
          # Pack in all the versions in decending order.
          releases = obj.releases.order_by('-created')
          data['versions'] = [release.version for release in releases if release.version]
          data['release_count'] = releases.count()
  
          # We want to scale the boost for this document based on how many downloads have
          #   been recorded for this package.
          # @@@ Might want to actually tier these values instead of percentage them.
          # Cap out downloads at 100k
          capped_downloads = min(data["downloads"], 10000)
          boost = capped_downloads / 10000.0
          data["_boost"] = 1.0 + boost
  
          return data
  
subject: move a comment to match the internal system