docs: def table_definition(table_name):
      """
      Get the source of a table function.
  
      If a table is registered DataFrame and not a function then all that is
      returned is {'type': 'dataframe'}.
  
      If the table is a registered function then the JSON returned has keys
      "type", "filename", "lineno", "text", and "html". "text" is the raw
      text of the function, "html" has been marked up by Pygments.
  
      """
      if orca.table_type(table_name) == 'dataframe':
          return jsonify(type='dataframe')
  
      filename, lineno, source = \
          orca.get_raw_table(table_name).func_source_data()
  
      html = highlight(source, PythonLexer(), HtmlFormatter())
  
      return jsonify(
          type='function', filename=filename, lineno=lineno, text=source,
          html=html)