docs: def _as_document(self, partition):
          """ Converts given partition to the document indexed by FTS backend.
  
          Args:
              partition (orm.Partition): partition to convert.
  
          Returns:
              dict with structure matches to BasePartitionIndex._schema.
  
          """
  
          schema = ' '.join(
              u'{} {} {} {} {}'.format(
                  c.id,
                  c.vid,
                  c.name,
                  c.altname,
                  c.description) for c in partition.table.columns)
  
          values = ''
  
          for stat in partition.stats:
              if stat.uvalues :
                  # SOme geometry vlaues are super long. They should not be in uvbalues, but when they are,
                  # need to cut them down.
                  values += ' '.join(e[:200] for e in stat.uvalues) + '\n'
  
          # Re-calculate the summarization of grains, since the geoid 0.0.7 package had a bug where state level
          # summaries had the same value as state-level allvals
          def resum(g):
              try:
                  return str(GVid.parse(g).summarize())
              except KeyError:
                  return g
              except ValueError:
                  logger.debug("Failed to parse gvid '{}' from partition '{}' grain coverage"
                               .format(g, partition.identity.vname))
                  return g
  
          keywords = (
              ' '.join(partition.space_coverage) + ' ' +
              ' '.join([resum(g) for g in partition.grain_coverage if resum(g)]) + ' ' +
              ' '.join(str(x) for x in partition.time_coverage)
          )
  
          doc_field = u('{} {} {} {} {} {}').format(
              values,
              schema,
              ' '.join([
                  u('{}').format(partition.identity.vid),
                  u('{}').format(partition.identity.id_),
                  u('{}').format(partition.identity.name),
                  u('{}').format(partition.identity.vname)]),
              partition.display.title,
              partition.display.description,
              partition.display.sub_description,
              partition.display.time_description,
              partition.display.geo_description
          )
  
          document = dict(
              vid=u('{}').format(partition.identity.vid),
              dataset_vid=u('{}').format(partition.identity.as_dataset().vid),
              title=u('{}').format(partition.table.description),
              keywords=u('{}').format(keywords),
              doc=doc_field)
  
          return document