code: def _get_forecast(api_result: dict) -> List[SmhiForecast]:
      
      forecasts = []
  
      # Need the ordered dict to get
      # the days in order in next stage
      forecasts_ordered = OrderedDict()
  
      forecasts_ordered = _get_all_forecast_from_api(api_result)
  
      # Used to calc the daycount
      day_nr = 1
  
      for day in forecasts_ordered:
          forecasts_day = forecasts_ordered[day]
  
          if day_nr == 1:
              # Add the most recent forecast
              forecasts.append(copy.deepcopy(forecasts_day[0]))
  
          total_precipitation = float(0.0)
          forecast_temp_max = -100.0
          forecast_temp_min = 100.0
          forecast = None
          for forcast_day in forecasts_day:
              temperature = forcast_day.temperature
              if forecast_temp_min > temperature:
                  forecast_temp_min = temperature
              if forecast_temp_max < temperature:
                  forecast_temp_max = temperature
  
              if forcast_day.valid_time.hour == 12:
                  forecast = copy.deepcopy(forcast_day)
  
              total_precipitation = total_precipitation + \
                  forcast_day._total_precipitation
  
          if forecast is None:
              # We passed 12 noon, set to current
              forecast = forecasts_day[0]
  
          forecast._temperature_max = forecast_temp_max
          forecast._temperature_min = forecast_temp_min
          forecast._total_precipitation = total_precipitation
          forecast._mean_precipitation = total_precipitation/24
          forecasts.append(forecast)
          day_nr = day_nr + 1
  
      return forecasts
docs: Converts results fråm API to SmhiForeCast list