forked from s_ranjbar/city_retrofit
150 lines
6.3 KiB
Python
150 lines
6.3 KiB
Python
"""
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Building test
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder Guille Gutierrez Morote Guillermo.GutierrezMorote@concordia.ca
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Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
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"""
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import pandas as pd
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import parseidf
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import xmltodict
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from imports.schedules.helpers.schedules_helper import SchedulesHelper
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from city_model_structure.attributes.schedule import Schedule
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from city_model_structure.building_demand.occupancy import Occupancy
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from city_model_structure.building_demand.lighting import Lighting
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from city_model_structure.building_demand.thermal_control import ThermalControl
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import helpers.constants as cte
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class DoeIdf:
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"""
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Idf factory to import schedules into the data model
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"""
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# todo: shouldn't this be in the schedule helper class????
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idf_schedule_to_standard_schedule = {'BLDG_LIGHT_SCH': cte.LIGHTING,
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'BLDG_OCC_SCH_wo_SB': cte.OCCUPANCY,
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'BLDG_EQUIP_SCH': cte.EQUIPMENT,
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'ACTIVITY_SCH': cte.ACTIVITY,
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'INFIL_QUARTER_ON_SCH': cte.INFILTRATION}
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# todo: @Guille -> in idf the types can be written in capital letters or low case, but both should be accepted.
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# How is that solved?? Of course not like this
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idf_data_type_to_standard_data_type = {'Fraction': cte.FRACTION,
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'fraction': cte.FRACTION,
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'Any Number': cte.ANY_NUMBER,
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'ON/OFF': cte.ON_OFF,
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'On/Off': cte.ON_OFF,
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'Temperature': cte.TEMPERATURE,
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'Humidity': cte.HUMIDITY,
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'Control Type': cte.CONTROL_TYPE}
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_SCHEDULE_COMPACT_TYPE = 'SCHEDULE:COMPACT'
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_SCHEDULE_TYPE_NAME = 1
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_SCHEDULE_TYPE_DATA_TYPE = 2
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def __init__(self, city, base_path, doe_idf_file):
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self._hours = []
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panda_hours = pd.timedelta_range(0, periods=24, freq='H')
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for _, hour in enumerate(panda_hours):
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self._hours.append(str(hour).replace('0 days ', '').replace(':00:00', ':00'))
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self._city = city
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path = str(base_path / doe_idf_file)
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with open(path) as xml:
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self._schedule_library = xmltodict.parse(xml.read())
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for building in self._city.buildings:
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for internal_zone in building.internal_zones:
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for usage_zone in internal_zone.usage_zones:
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for schedule_archetype in self._schedule_library['archetypes']['archetypes']:
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function = schedule_archetype['@building_type']
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if SchedulesHelper.usage_from_function(function) == usage_zone.usage:
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self._idf_schedules_path = (base_path / schedule_archetype['idf']['path']).resolve()
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with open(self._idf_schedules_path, 'r') as file:
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idf = parseidf.parse(file.read())
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self._load_schedule(idf, usage_zone)
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break
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def _load_schedule(self, idf, usage_zone):
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schedules_day = {}
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schedules = []
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for compact_schedule in idf[self._SCHEDULE_COMPACT_TYPE]:
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schedule = Schedule()
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schedule.time_step = cte.HOUR
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schedule.time_range = cte.DAY
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if compact_schedule[self._SCHEDULE_TYPE_NAME] in self.idf_schedule_to_standard_schedule:
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schedule.type = self.idf_schedule_to_standard_schedule[compact_schedule[self._SCHEDULE_TYPE_NAME]]
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schedule.data_type = self.idf_data_type_to_standard_data_type[compact_schedule[self._SCHEDULE_TYPE_DATA_TYPE]]
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else:
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continue
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days_index = []
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days_schedules = []
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for position, elements in enumerate(compact_schedule):
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element_title = elements.title().replace('For: ', '')
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if elements.title() != element_title:
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days_index.append(position)
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# store a cleaned version of the compact schedule
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days_schedules.append(element_title)
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days_index.append(len(days_schedules))
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# save schedule
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values = []
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for i, day_index in enumerate(days_index):
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if day_index == len(days_schedules):
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break
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schedules_day[f'{days_schedules[day_index]}'] = []
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hour_index = 0
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for hours_values in range(day_index + 1, days_index[i + 1] - 1, 2):
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# Create 24h sequence
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for index, hour in enumerate(self._hours[hour_index:]):
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hour_formatted = days_schedules[hours_values].replace("Until: ", "")
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if len(hour_formatted) == 4:
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hour_formatted = f'0{hour_formatted}'
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if hour == hour_formatted:
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hour_index += index
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break
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entry = days_schedules[hours_values + 1]
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schedules_day[f'{days_schedules[day_index]}'].append(entry)
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for entry in schedules_day[f'{days_schedules[day_index]}']:
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values.append(entry)
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schedule.values = values
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if 'Weekdays' in days_schedules[day_index]:
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schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY]
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elif 'Alldays' in days_schedules[day_index]:
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schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY, cte.SATURDAY,
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cte.SUNDAY]
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elif 'Weekends' in days_schedules[day_index]:
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# Weekends schedule present so let's re set the values
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schedule.day_types = [cte.SATURDAY, cte.SUNDAY]
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elif 'Saturday' in days_schedules[day_index]:
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schedule.day_types = [cte.SATURDAY]
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elif 'Sunday' in days_schedules[day_index]:
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schedule.day_types = [cte.SUNDAY]
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else:
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continue
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schedules.append(schedule)
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for schedule in schedules:
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if schedule.type == cte.OCCUPANCY:
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if usage_zone.occupancy is None:
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usage_zone.occupancy = Occupancy()
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usage_zone.occupancy.occupancy_schedules = [schedule]
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elif schedule.type == cte.LIGHTING:
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if usage_zone.lighting is None:
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usage_zone.lighting = Lighting()
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usage_zone.lighting.schedules = [schedule]
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elif schedule.type == cte.HVAC_AVAILABILITY:
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if usage_zone.thermal_control is None:
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usage_zone.thermal_control = ThermalControl()
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usage_zone.thermal_control.hvac_availability_schedules = [schedule]
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