class_docstr: Text Plugin for TensorBoard.
code: def text_route(self, request):
      ctx = plugin_util.context(request.environ)
      experiment = plugin_util.experiment_id(request.environ)
      run = request.args.get("run")
      tag = request.args.get("tag")
      markdown_arg = request.args.get("markdown")
      enable_markdown = markdown_arg != "false"  # Default to enabled.
      response = self.text_impl(
          ctx, run, tag, experiment, enable_markdown
      )
      return http_util.Respond(request, response, "application/json")
  
imports: import textwrap
  import numpy
  from werkzeug import wrappers
  from tensorboard import plugin_util
  from tensorboard.backend import http_util
  from tensorboard.data import provider
  from tensorboard.plugins import base_plugin
  from tensorboard.plugins.text import metadata
label_desc: Use image node_id 7 for calling the TextPlugin obj's underlying member method code with example usage: obj.text_route(request) and returns: http_util