code: def bulk_index(cls, documents, id_field='id', es=None, index=None):
          
          if es is None:
              es = cls.get_es()
  
          if index is None:
              index = cls.get_index()
  
          documents = (dict(d, _id=d[id_field]) for d in documents)
  
          bulk_index(
              es,
              documents,
              index=index,
              doc_type=cls.get_mapping_type_name(),
              raise_on_error=True
          )
docs: Adds or updates a batch of documents.
  
          :arg documents: List of Python dicts representing individual
              documents to be added to the index
  
              .. Note::
  
                 This must be serializable into JSON.
  
          :arg id_field: The name of the field to use as the document
              id. This defaults to 'id'.
  
          :arg es: The `Elasticsearch` to use. If you don't specify an
              `Elasticsearch`, it'll use `cls.get_es()`.
  
          :arg index: The name of the index to use. If you don't specify one
              it'll use `cls.get_index()`.
  
          .. Note::
  
             If you need the documents available for searches
             immediately, make sure to refresh the index by calling
             ``refresh_index()``.