2020-10-22 11:02:41 -04:00
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"""
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PhysicsFactory retrieve the specific physics module for the given region
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2020 Project Author Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
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"""
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import pandas as pd
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2020-10-28 13:14:05 -04:00
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from factories.occupancy.occupancy_feeders.helpers.occupancy_helper import OccupancyHelper
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2020-10-22 11:02:41 -04:00
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class DemoOccupancyParameters:
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def __init__(self, city, base_path):
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self._city = city
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self._demo_schedules_path = base_path / 'demo_schedules.xlsx'
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xls = pd.ExcelFile(self._demo_schedules_path)
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2020-10-27 12:53:29 -04:00
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# todo: review for more than one usage_zones per building
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2020-10-22 11:02:41 -04:00
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for building in city.buildings:
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2020-10-27 09:31:57 -04:00
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schedules = dict()
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2020-10-22 11:02:41 -04:00
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occupancy = pd.read_excel(xls, sheet_name=OccupancyHelper.pluto_occupancy_function(building.function),
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2020-10-27 09:31:57 -04:00
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skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
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for index in range(0, 13):
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row = occupancy.iloc[3 * index]
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data = row[1:]
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name = row[0]
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for i in range(1, 3):
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row = occupancy.iloc[3*index + i]
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data1 = row[1:]
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data = pd.concat([data, data1], axis=1)
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schedules[name] = data
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2020-10-27 12:53:29 -04:00
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building.usage_zones[0].schedules = schedules
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