code: def construct_concept_to_indicator_mapping(n: int = 1) -> Dict[str, List[str]]:
      
  
      df = pd.read_sql_table("concept_to_indicator_mapping", con=engine)
      gb = df.groupby("Concept")
  
      _dict = {
          k: [get_variable_and_source(x) for x in take(n, v["Indicator"].values)]
          for k, v in gb
      }
      return _dict
docs: Create a dictionary mapping high-level concepts to low-level indicators
  
      Args:
          n: Number of indicators to return
  
      Returns:
          Dictionary that maps concept names to lists of indicator names.