system_assignation/imports/weather/dat_weather_parameters.py

56 lines
2.1 KiB
Python

"""
DatWeatherParameters 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 Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import pandas as pd
from pathlib import Path
import sys
import helpers.constants as cte
class DatWeatherParameters:
"""
DatWeatherParameters class
"""
def __init__(self, city, path):
self._weather_values = None
self._city = city
self._city_name = city.climate_reference_city
file_name = 'inseldb_' + self._city_name + '.dat'
self._path = Path(path / file_name)
if self._weather_values is None:
try:
self._weather_values = pd.read_csv(self._path, sep='\s+', header=None,
names=['hour', 'global_horiz', 'temperature', 'diffuse', 'beam', 'empty'])
except SystemExit:
sys.stderr.write(f'Error: weather file {self._path} not found\n')
sys.exit()
for building in self._city.buildings:
new_value = pd.DataFrame(self._weather_values[['temperature']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.external_temperature:
building.external_temperature[cte.HOUR] = new_value
else:
pd.concat([building.external_temperature[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['global_horiz']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.global_horizontal:
building.global_horizontal[cte.HOUR] = new_value
else:
pd.concat([building.global_horizontal[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['diffuse']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.diffuse:
building.diffuse[cte.HOUR] = new_value
else:
pd.concat([building.diffuse[cte.HOUR], new_value], axis=1)
new_value = pd.DataFrame(self._weather_values[['beam']].to_numpy(), columns=['inseldb'])
if cte.HOUR not in building.beam:
building.beam[cte.HOUR] = new_value
else:
pd.concat([building.beam[cte.HOUR], new_value], axis=1)