forked from s_ranjbar/city_retrofit
65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
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import pandas as pd
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from imports.schedules.helpers.schedules_helper import SchedulesHelper
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import parseidf
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class IdfParser:
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_OCCUPANCY_SCHEDULE= ("BLDG_OCC_SCH_wo_SB","Occupancy")
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_Activity_Schedule= "ACTIVITY_SCH"
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_Electrical_Equipent_Schedule= "BLDG_EQUIP_SCH"
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_Lighting_Schedule="BLDG_LIGHT_SCH"
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_Infiltration_Ventilation_Schedule="INFIL_QUARTER_ON_SCH"
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def __init__(self, city, base_path, type):
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self._city = city
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self._idf_schedules_path = base_path / 'ASHRAE901_OfficeSmall_STD2019_Buffalo.idf'
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with open(self._idf_schedules_path, 'r') as f:
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idf = parseidf.parse(f.read())
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for building in city.buildings:
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schedules = dict()
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for usage_zone in building.usage_zones:
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usage_schedules = pd.Datafram(idf['SCHEDULE:COMPACT'])
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Small_Office_Occupancy = []
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Small_Office_OccupancyActivity = []
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Small_Office_ElectricalEquipment = []
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Small_Office_Lighting = []
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Small_Office_Infiltration = []
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for i in usage_schedules:
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if i[1] == self._Occupancy_Schedule:
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return Small_Office_Occupancy.append(i)
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elif i[1] == 'ACTIVITY_SCH':
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Small_Office_OccupancyActivity.append(i)
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elif i[1] == 'BLDG_EQUIP_SCH':
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Small_Office_ElectricalEquipment.append(i)
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elif i[1] == 'BLDG_LIGHT_SCH':
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Small_Office_Lighting.append(i)
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elif i[1] == 'INFIL_QUARTER_ON_SCH':
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Small_Office_Infiltration.append(i)
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else:
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print("The schedule name is not standard")
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'''
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# todo: should we save the data type? How?
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number_of_schedule_types = 13
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schedules_per_schedule_type = 3
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day_types = dict({'week_day': 0, 'saturday': 1, 'sunday': 2})
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for schedule_types in range(0, number_of_schedule_types):
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data = pd.DataFrame()
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columns_names = []
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name = ''
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for schedule_day in range(0, schedules_per_schedule_type):
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row_cells = usage_schedules.iloc[schedules_per_schedule_type*schedule_types + schedule_day]
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if schedule_day == day_types['week_day']:
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name = row_cells[0]
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columns_names.append(row_cells[2])
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data1 = row_cells[schedules_per_schedule_type:]
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data = pd.concat([data, data1], axis=1)
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data.columns = columns_names
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schedules[name] = data
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usage_zone.schedules = schedules
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'''
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