erased schedules factory as the schedules are now integrated in usage factory

This commit is contained in:
Pilar 2022-11-21 11:55:34 -05:00
parent e68830a16b
commit c1f2ff5c4b
7 changed files with 1 additions and 419 deletions

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"""
Enrich city
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from imports.construction_factory import ConstructionFactory
from imports.usage_factory import UsageFactory
from imports.schedules_factory import SchedulesFactory
class EnrichCity:
"""
Enrich city
"""
def __init__(self, city):
self._city = city
self._enriched_city = None
self._errors = []
@property
def errors(self) -> [str]:
"""
Error list
"""
return self._errors
def enriched_city(self, construction_format=None, usage_format=None, schedules_format=None,
pickle_construction=False, pickle_usage=False, pickle_schedules=False):
"""
Enrich the city with the given formats
:return: City
"""
if self._enriched_city is None:
self._errors = []
print('original:', len(self._city.buildings))
if not pickle_construction:
if construction_format is not None:
self._enriched_city = self._construction(construction_format)
if len(self._errors) != 0:
return self._enriched_city
if not pickle_usage:
if usage_format is not None:
self._enriched_city = self._usage(usage_format)
if len(self._errors) != 0:
return self._enriched_city
if not pickle_schedules:
if schedules_format is not None:
self._enriched_city = self._schedules(schedules_format)
if len(self._errors) != 0:
return self._enriched_city
self._enriched_city = self._city
return self._enriched_city
def _construction(self, construction_format):
ConstructionFactory(construction_format, self._city).enrich()
for building in self._city.buildings:
# infiltration_rate_system_off is a mandatory parameter.
# If it is not returned, extract the building from the calculation list
if len(building.thermal_zones) == 0:
self._city.remove_city_object(building)
elif building.thermal_zones[0].infiltration_rate_system_off is None:
self._city.remove_city_object(building)
if self._city.buildings is None:
self._errors.append('no archetype found per construction')
self._enriched_city = self._city
return self._enriched_city
print('enriched with construction:', len(self._city.buildings))
return self._city
def _usage(self, usage_format):
UsageFactory(usage_format, self._city).enrich()
for building in self._city.buildings:
# At least one thermal zone must be created.
# If it is not created, extract the building from the calculation list
if len(building.usage_zones) <= 0:
self._city.remove_city_object(building)
if self._city.buildings is None:
self._errors.append('no archetype found per usage')
self._enriched_city = self._city
return self._enriched_city
print('enriched with usage:', len(self._city.buildings))
return self._city
def _schedules(self, schedules_format):
SchedulesFactory(schedules_format, self._city).enrich()
for building in self._city.buildings:
counter_schedules = 0
for usage_zone in building.usage_zones:
# At least one schedule must be created at each thermal zone.
# If it is not created, extract the building from the calculation list
if len(usage_zone.schedules) > 0:
counter_schedules += 1
if counter_schedules < len(building.usage_zones):
self._city.remove_city_object(building)
if self._city.buildings is None:
self._errors.append('no archetype found per usage')
self._enriched_city = self._city
return self._enriched_city
print('enriched with occupancy:', len(self._city.buildings))
return self._city

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"""
Schedules retrieve the specific usage schedules module for the given standard
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
import pandas as pd
from imports.schedules.helpers.schedules_helper import SchedulesHelper
from city_model_structure.attributes.schedule import Schedule
import helpers.constants as cte
class ComnetSchedules:
"""
Comnet based schedules
"""
def __init__(self, city, base_path):
self._city = city
self._comnet_schedules_path = base_path / 'comnet_archetypes.xlsx'
xls = pd.ExcelFile(self._comnet_schedules_path)
for building in city.buildings:
for usage_zone in building.usage_zones:
schedules = []
usage_schedules = pd.read_excel(xls,
sheet_name=SchedulesHelper.comnet_from_usage(usage_zone.usage),
skiprows=[0, 1, 2, 3], nrows=39, usecols="A:AA")
number_of_schedule_types = 13
schedules_per_schedule_type = 3
day_types = dict({'week_day': 0, 'saturday': 1, 'sunday': 2})
for schedule_types in range(0, number_of_schedule_types):
name = ''
data_type = ''
for schedule_day in range(0, schedules_per_schedule_type):
schedule = Schedule()
schedule.time_step = cte.HOUR
schedule.time_range = cte.DAY
row_cells = usage_schedules.iloc[schedules_per_schedule_type*schedule_types + schedule_day]
if schedule_day == day_types['week_day']:
name = row_cells[0]
data_type = row_cells[1]
schedule.day_types = [cte.MONDAY, cte.TUESDAY, cte.WEDNESDAY, cte.THURSDAY, cte.FRIDAY]
elif schedule_day == day_types['saturday']:
schedule.day_types = [cte.SATURDAY]
else:
schedule.day_types = [cte.SUNDAY]
schedule.type = name
schedule.data_type = SchedulesHelper.data_type_from_comnet(data_type)
if schedule.data_type == cte.ANY_NUMBER:
values = []
for cell in row_cells[schedules_per_schedule_type:].to_numpy():
values.append((float(cell) - 32.) * 5 / 9)
schedule.values = values
else:
schedule.values = row_cells[schedules_per_schedule_type:].to_numpy()
schedules.append(schedule)
usage_zone.schedules = schedules

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

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"""
SchedulesFactory retrieve the specific schedules module for the given standard
This factory can only be called after calling the usage factory so the usage zones are created.
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Guille Gutierrez guillermo.gutierrezmorote@concordia.ca
"""
from pathlib import Path
from imports.schedules.doe_idf import DoeIdf
class SchedulesFactory:
"""
SchedulesFactor class
"""
def __init__(self, handler, city, base_path=Path(Path(__file__).parent.parent / 'data/schedules')):
self._handler = '_' + handler.lower().replace(' ', '_')
self._city = city
self._base_path = base_path
for building in city.buildings:
for internal_zone in building.internal_zones:
if len(internal_zone.usage_zones) == 0:
raise Exception('It seems that the schedule factory is being called before the usage factory. '
'Please ensure that the usage factory is called first as the usage zones must be '
'firstly generated.')
def _doe_idf(self):
"""
Enrich the city by using DOE IDF schedules as data source
"""
DoeIdf(self._city, self._base_path, 'doe_idf.xml')
def enrich(self):
"""
Enrich the city given to the class using the given schedule handler
:return: None
"""
getattr(self, self._handler, lambda: None)()

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@ -14,7 +14,7 @@ import helpers.constants as cte
from helpers.configuration_helper import ConfigurationHelper as ch
from imports.geometry.helpers.geometry_helper import GeometryHelper
from imports.usage.helpers.usage_helper import UsageHelper
from imports.schedules.helpers.schedules_helper import SchedulesHelper
from imports.usage.helpers.schedules_helper import SchedulesHelper
from city_model_structure.building_demand.usage_zone import UsageZone
from city_model_structure.building_demand.lighting import Lighting
from city_model_structure.building_demand.occupancy import Occupancy

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"""
TestSchedulesFactory test and validate the city model structure schedules
SPDX - License - Identifier: LGPL - 3.0 - or -later
Copyright © 2022 Concordia CERC group
Project Coder Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concordia.ca
"""
from pathlib import Path
from unittest import TestCase
from imports.geometry_factory import GeometryFactory
from imports.usage_factory import UsageFactory
from imports.construction_factory import ConstructionFactory
from imports.schedules_factory import SchedulesFactory
from imports.geometry.helpers.geometry_helper import GeometryHelper
class TestSchedulesFactory(TestCase):
"""
TestSchedulesFactory TestCase
"""
def setUp(self) -> None:
"""
Configure test environment
:return:
"""
self._example_path = (Path(__file__).parent / 'tests_data').resolve()
def _get_citygml(self, file):
file_path = (self._example_path / file).resolve()
_city = GeometryFactory('citygml', file_path).city
for building in _city.buildings:
building.year_of_construction = 2006
ConstructionFactory('nrel', _city).enrich()
self.assertIsNotNone(_city, 'city is none')
for building in _city.buildings:
building.function = GeometryHelper.libs_function_from_hft(building.function)
building.year_of_construction = 2005
UsageFactory('hft', _city).enrich()
return _city
def test_doe_idf_archetypes(self):
"""
Enrich the city with doe_idf schedule archetypes and verify it
"""
file = (self._example_path / 'C40_Final.gml').resolve()
city = self._get_citygml(file)
occupancy_handler = 'doe_idf'
SchedulesFactory(occupancy_handler, city).enrich()
for building in city.buildings:
for internal_zone in building.internal_zones:
self.assertTrue(len(internal_zone.usage_zones) > 0)
for usage_zone in internal_zone.usage_zones:
self.assertIsNot(len(usage_zone.occupancy.occupancy_schedules), 0, 'no occupancy schedules defined')
for schedule in usage_zone.occupancy.occupancy_schedules:
self.assertIsNotNone(schedule.type)
self.assertIsNotNone(schedule.values)
self.assertIsNotNone(schedule.data_type)
self.assertIsNotNone(schedule.time_step)
self.assertIsNotNone(schedule.time_range)
self.assertIsNotNone(schedule.day_types)
self.assertIsNot(len(usage_zone.lighting.schedules), 0, 'no lighting schedules defined')
for schedule in usage_zone.lighting.schedules:
self.assertIsNotNone(schedule.type)
self.assertIsNotNone(schedule.values)
self.assertIsNotNone(schedule.data_type)
self.assertIsNotNone(schedule.time_step)
self.assertIsNotNone(schedule.time_range)
self.assertIsNotNone(schedule.day_types)