code: def _examples_from_path_handler(self, request):
      
      examples_count = int(request.args.get('max_examples'))
      examples_path = request.args.get('examples_path')
      sampling_odds = float(request.args.get('sampling_odds'))
      self.example_class = (tf.train.SequenceExample
          if request.args.get('sequence_examples') == 'true'
          else tf.train.Example)
      try:
        platform_utils.throw_if_file_access_not_allowed(examples_path,
                                                        self._logdir,
                                                        self._has_auth_group)
        example_strings = platform_utils.example_protos_from_path(
            examples_path, examples_count, parse_examples=False,
            sampling_odds=sampling_odds, example_class=self.example_class)
        self.examples = [
            self.example_class.FromString(ex) for ex in example_strings]
        self.generate_sprite(example_strings)
        json_examples = [
            json_format.MessageToJson(example) for example in self.examples
        ]
        self.updated_example_indices = set(range(len(json_examples)))
        return http_util.Respond(
            request,
            {'examples': json_examples,
             'sprite': True if self.sprite else False}, 'application/json')
      except common_utils.InvalidUserInputError as e:
        return http_util.Respond(request, {'error': e.message},
                                 'application/json', code=400)
docs: Returns JSON of the specified examples.
  
      Args:
        request: A request that should contain 'examples_path' and 'max_examples'.
  
      Returns:
        JSON of up to max_examlpes of the examples in the path.