code: def table_definition(table_name):
      
      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)
docs: 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.