hub/factories/weather_feeders/dat_weather_parameters.py

"""
CliWeatherParameters class to extract weather parameters from a defined region in .dat format
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2020 Project Author Pilar Monsalvete pilar_monsalvete@yahoo.es
"""

import pandas as pd


class DatWeatherParameters:
  """
  DatWeatherParameters class
  """
  def __init__(self, city, path):
    self._path = path
    self._weather_values = None
    self._city = city

  def weather_values(self):
    # TODO: catch error if file does not exist
    if self._weather_values is None:
      self._weather_values = pd.read_csv(self._path, sep='\s+', header=None,
                                         names=['hour', 'global_horiz', 'temperature', 'diffuse', 'beam', 'empty'])
    for building in self._city.buildings:
      building._hourly_external_temperature = pd.DataFrame(self._weather_values[['temperature']], columns=['inseldb'])
      building._hourly_global_horizontal = pd.DataFrame(self._weather_values[['global_horiz']], columns=['inseldb'])
      building._hourly_diffuse = pd.DataFrame(self._weather_values[['diffuse']], columns=['inseldb'])
      building._hourly_beam = pd.DataFrame(self._weather_values[['beam']], columns=['inseldb'])