forked from s_ranjbar/city_retrofit
Partial implementation for idf schedule import (doe_idf)
This commit is contained in:
parent
5af0984aee
commit
c861dc6bc3
|
|
@ -1,14 +0,0 @@
|
|||
<?xml version="1.0" encoding="UTF-8"?>
|
||||
<module type="PYTHON_MODULE" version="4">
|
||||
<component name="NewModuleRootManager">
|
||||
<content url="file://$MODULE_DIR$">
|
||||
<excludeFolder url="file://$MODULE_DIR$/venv" />
|
||||
</content>
|
||||
<orderEntry type="inheritedJdk" />
|
||||
<orderEntry type="sourceFolder" forTests="false" />
|
||||
</component>
|
||||
<component name="PyDocumentationSettings">
|
||||
<option name="format" value="PLAIN" />
|
||||
<option name="myDocStringFormat" value="Plain" />
|
||||
</component>
|
||||
</module>
|
||||
|
|
@ -2,7 +2,7 @@
|
|||
<project version="4">
|
||||
<component name="ProjectModuleManager">
|
||||
<modules>
|
||||
<module fileurl="file://$PROJECT_DIR$/.idea/libs_EPlus.iml" filepath="$PROJECT_DIR$/.idea/libs_EPlus.iml" />
|
||||
<module fileurl="file://$PROJECT_DIR$/.idea/libs.iml" filepath="$PROJECT_DIR$/.idea/libs.iml" />
|
||||
</modules>
|
||||
</component>
|
||||
</project>
|
||||
</project>
|
||||
|
|
|
|||
|
|
@ -3,146 +3,135 @@ MyClass module
|
|||
SPDX - License - Identifier: LGPL - 3.0 - or -later
|
||||
Copyright © 2020 Project
|
||||
"""
|
||||
|
||||
|
||||
import pandas as pd
|
||||
import parseidf
|
||||
|
||||
|
||||
class DoeIdf:
|
||||
"""
|
||||
This is a import factory to add Idf schedules into the data model
|
||||
"""
|
||||
idf_schedule_to_commet_schedule = {'BLDG_LIGHT_SCH': 'Lights',
|
||||
'BLDG_OCC_SCH_wo_SB': 'Occupancy',
|
||||
'BLDG_EQUIP_SCH': 'Equipment',
|
||||
'ACTIVITY_SCH': 'Activity',
|
||||
'INFIL_QUARTER_ON_SCH': 'Infiltration'}
|
||||
"""
|
||||
This is a import factory to add Idf schedules into the data model
|
||||
"""
|
||||
idf_schedule_to_commet_schedule = {'BLDG_LIGHT_SCH': 'Lights',
|
||||
'BLDG_OCC_SCH_wo_SB': 'Occupancy',
|
||||
'BLDG_EQUIP_SCH': 'Equipment',
|
||||
'ACTIVITY_SCH': 'Activity',
|
||||
'INFIL_QUARTER_ON_SCH': 'Infiltration'}
|
||||
|
||||
_SCHEDULE_COMPACT_TYPE = 'SCHEDULE:COMPACT'
|
||||
_SCHEDULE_TYPE_NAME = 1
|
||||
_SCHEDULE_COMPACT_TYPE = 'SCHEDULE:COMPACT'
|
||||
_SCHEDULE_TYPE_NAME = 1
|
||||
|
||||
def __init__(self, city, base_path):
|
||||
self._city = city
|
||||
self._idf_schedules_path = base_path / 'ASHRAE901_OfficeSmall_STD2019_Buffalo.idf'
|
||||
with open(self._idf_schedules_path, 'r') as f:
|
||||
idf = parseidf.parse(f.read())
|
||||
self._load_schedule(idf, 'small_office')
|
||||
def __init__(self, city, base_path):
|
||||
self._hours = []
|
||||
panda_hours = pd.timedelta_range(0, periods=24, freq='H')
|
||||
for i, hour in enumerate(panda_hours):
|
||||
self._hours.append(str(hour).replace('0 days ', '').replace(':00:00', ':00'))
|
||||
self._city = city
|
||||
self._idf_schedules_path = base_path / 'ASHRAE901_OfficeSmall_STD2019_Buffalo.idf'
|
||||
with open(self._idf_schedules_path, 'r') as f:
|
||||
idf = parseidf.parse(f.read())
|
||||
self._load_schedule(idf, 'small_office')
|
||||
|
||||
def _load_schedule(self, idf, building_usage):
|
||||
holiday = []
|
||||
winter_design_day = []
|
||||
summer_design_day = []
|
||||
custom_day_1 = []
|
||||
custom_day_2 = []
|
||||
weekday = []
|
||||
weekend = []
|
||||
day_types = []
|
||||
schedules_day = {'None':[]}
|
||||
compact_keywords = ['Weekdays', 'Weekends', 'Alldays', 'AllOtherDays', 'Sunday', 'Monday', 'Tuesday',
|
||||
'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Holiday', 'Winterdesignday',
|
||||
'Summerdesignday', 'Customday1', 'Customday2']
|
||||
j = 0
|
||||
for compact_schedule in idf[self._SCHEDULE_COMPACT_TYPE]:
|
||||
j = j +1
|
||||
if self._SCHEDULE_TYPE_NAME in self.idf_schedule_to_commet_schedule:
|
||||
schedule_type = self.idf_schedule_to_commet_schedule[compact_schedule[self._SCHEDULE_TYPE_NAME]]
|
||||
def _load_schedule(self, idf, building_usage):
|
||||
schedules_day = {}
|
||||
for compact_schedule in idf[self._SCHEDULE_COMPACT_TYPE]:
|
||||
if compact_schedule[self._SCHEDULE_TYPE_NAME] in self.idf_schedule_to_commet_schedule:
|
||||
schedule_type = self.idf_schedule_to_commet_schedule[compact_schedule[self._SCHEDULE_TYPE_NAME]]
|
||||
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))
|
||||
|
||||
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
|
||||
else:
|
||||
schedule_type = 'Unknown'
|
||||
# todo: check this piece of code logic
|
||||
days_index = []
|
||||
for position, elements in enumerate(compact_schedule):
|
||||
element_title = elements.title().replace('For: ', '')
|
||||
if elements.title() != element_title:
|
||||
days_index.append(position)
|
||||
day_types.append(element_title)
|
||||
days_index.append(len(day_types))
|
||||
print(day_types)
|
||||
print(days_index)
|
||||
'''
|
||||
for count, word_day_type in enumerate(day_type):
|
||||
if word_day_type in compact_keywords:
|
||||
index.append(count)
|
||||
index.append(len(day_type))
|
||||
'''
|
||||
entry = (hour, days_schedules[hours_values + 1])
|
||||
schedules_day[f'{days_schedules[day_index]}'].append(entry)
|
||||
|
||||
for i, day_index in enumerate(days_index):
|
||||
if day_index == len(day_types):
|
||||
break
|
||||
schedules_day[f'{day_types[day_index]}'] = []
|
||||
print(f'{day_types[day_index]}')
|
||||
for hours_values in range(day_index+1, days_index[i + 1]-1, 2):
|
||||
print(schedules_day[f'{days_schedules[day_index]}'])
|
||||
'''
|
||||
for i in range(len(index) - 1):
|
||||
number_of_day_schedule = list(day_types[index[i] + 1:index[i + 1]])
|
||||
hourly_values = list(range(24))
|
||||
start_hour = 0
|
||||
for num in range(int(len(number_of_day_schedule) / 2)):
|
||||
until_time = list(map(int, (number_of_day_schedule[2*num].split('Until: ')[-1]).split(":")[0:]))
|
||||
end_hour = int(until_time[0] + until_time[1] / 60)
|
||||
value = float(number_of_day_schedule[2 * num + 1])
|
||||
for hour in range(start_hour, end_hour):
|
||||
hourly_values[hour] = value
|
||||
start_hour = end_hour
|
||||
print(f'{compact_schedule}')
|
||||
print(f'{building_usage} {schedule_type} {hourly_values}')
|
||||
if day_type[index[i]] == 'Weekdays':
|
||||
weekday.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Weekends':
|
||||
weekend.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Holiday':
|
||||
holiday.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Winterdesignday':
|
||||
winter_design_day.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Summerdesignday':
|
||||
summer_design_day.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Customday1':
|
||||
custom_day_1.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Customday2':
|
||||
custom_day_2.append(hourly_values)
|
||||
else:
|
||||
raise ValueError('Unknown schedule day type')
|
||||
|
||||
print(f'{day_types[hours_values]}# {day_types[hours_values+1]} ')
|
||||
|
||||
if j == 2:
|
||||
return
|
||||
|
||||
'''
|
||||
for i in range(len(index) - 1):
|
||||
number_of_day_schedule = list(day_types[index[i] + 1:index[i + 1]])
|
||||
hourly_values = list(range(24))
|
||||
start_hour = 0
|
||||
for num in range(int(len(number_of_day_schedule) / 2)):
|
||||
until_time = list(map(int, (number_of_day_schedule[2*num].split('Until: ')[-1]).split(":")[0:]))
|
||||
end_hour = int(until_time[0] + until_time[1] / 60)
|
||||
value = float(number_of_day_schedule[2 * num + 1])
|
||||
for hour in range(start_hour, end_hour):
|
||||
hourly_values[hour] = value
|
||||
start_hour = end_hour
|
||||
print(f'{compact_schedule}')
|
||||
print(f'{building_usage} {schedule_type} {hourly_values}')
|
||||
if day_type[index[i]] == 'Weekdays':
|
||||
weekday.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Weekends':
|
||||
weekend.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Holiday':
|
||||
holiday.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Winterdesignday':
|
||||
winter_design_day.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Summerdesignday':
|
||||
summer_design_day.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Customday1':
|
||||
custom_day_1.append(hourly_values)
|
||||
elif day_type[index[i]] == 'Customday2':
|
||||
custom_day_2.append(hourly_values)
|
||||
else:
|
||||
raise ValueError('Unknown schedule day type')
|
||||
idf_schedules = pd.DataFrame(
|
||||
{'week_day': schedules_day['Weekdays'],
|
||||
'Weekends': schedules_day['Weekends'],
|
||||
'Holiday': schedules_day['Holiday'],
|
||||
'Winterdesignday': schedules_day['Winterdesignday'],
|
||||
'Summerdesignday': schedules_day['Summerdesignday'],
|
||||
'Customday1': schedules_day['Customday1'],
|
||||
'Customday2': schedules_day['Customday2']
|
||||
})
|
||||
print(idf_schedules)
|
||||
'''
|
||||
idf_schedules = pd.DataFrame(
|
||||
{'week_day': weekday,
|
||||
'Weekends': weekend,
|
||||
'Holiday': holiday,
|
||||
'Winterdesignday': winter_design_day,
|
||||
'Summerdesignday': summer_design_day,
|
||||
'Customday1': custom_day_1,
|
||||
'Customday2': custom_day_2,
|
||||
})
|
||||
print(idf_schedules)
|
||||
'''
|
||||
for building in city.buildings:
|
||||
schedules = dict()
|
||||
for usage_zone in building.usage_zones:
|
||||
usage_schedules = idf_schedules
|
||||
|
||||
'''
|
||||
for building in city.buildings:
|
||||
schedules = dict()
|
||||
for usage_zone in building.usage_zones:
|
||||
usage_schedules = idf_schedules
|
||||
|
||||
# todo: should we save the data type? How?
|
||||
number_of_schedule_types = 5
|
||||
schedules_per_schedule_type = 6
|
||||
idf_day_types = dict({'week_day': 0, 'Weekends': 1, 'Holiday': 2, 'Winterdesignday': 3, 'Summerdesignday':
|
||||
4, 'Customday1': 5, 'Customday2': 6})
|
||||
for schedule_types in range(0, number_of_schedule_types):
|
||||
data = pd.DataFrame()
|
||||
columns_names = []
|
||||
name = ''
|
||||
for schedule_day in range(0, len(idf_schedules)):
|
||||
row_cells = usage_schedules.iloc[schedules_per_schedule_type*schedule_types + schedule_day]
|
||||
if schedule_day == idf_day_types['week_day']:
|
||||
name = row_cells[0]
|
||||
columns_names.append(row_cells[2])
|
||||
data1 = row_cells[schedules_per_schedule_type:]
|
||||
data = pd.concat([data, data1], axis=1)
|
||||
data.columns = columns_names
|
||||
schedules[name] = data
|
||||
usage_zone.schedules = schedules
|
||||
'''
|
||||
# todo: should we save the data type? How?
|
||||
number_of_schedule_types = 5
|
||||
schedules_per_schedule_type = 6
|
||||
idf_day_types = dict({'week_day': 0, 'Weekends': 1, 'Holiday': 2, 'Winterdesignday': 3, 'Summerdesignday':
|
||||
4, 'Customday1': 5, 'Customday2': 6})
|
||||
for schedule_types in range(0, number_of_schedule_types):
|
||||
data = pd.DataFrame()
|
||||
columns_names = []
|
||||
name = ''
|
||||
for schedule_day in range(0, len(idf_schedules)):
|
||||
row_cells = usage_schedules.iloc[schedules_per_schedule_type*schedule_types + schedule_day]
|
||||
if schedule_day == idf_day_types['week_day']:
|
||||
name = row_cells[0]
|
||||
columns_names.append(row_cells[2])
|
||||
data1 = row_cells[schedules_per_schedule_type:]
|
||||
data = pd.concat([data, data1], axis=1)
|
||||
data.columns = columns_names
|
||||
schedules[name] = data
|
||||
usage_zone.schedules = schedules
|
||||
'''
|
||||
|
|
|
|||
|
|
@ -8,6 +8,7 @@ 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
|
||||
|
||||
|
|
@ -28,6 +29,7 @@ class TestSchedulesFactory(TestCase):
|
|||
def _get_citygml(self, file):
|
||||
file_path = (self._example_path / file).resolve()
|
||||
self._city = GeometryFactory('citygml', file_path).city
|
||||
ConstructionFactory('nrel', self._city).enrich()
|
||||
self.assertIsNotNone(self._city, 'city is none')
|
||||
for building in self._city.buildings:
|
||||
building.function = GeometryHelper.hft_to_function[building.function]
|
||||
|
|
@ -43,3 +45,9 @@ class TestSchedulesFactory(TestCase):
|
|||
self.assertIsNot(len(building.usage_zones), 0, 'no building usage_zones defined')
|
||||
for usage_zone in building.usage_zones:
|
||||
self.assertTrue(usage_zone.schedules)
|
||||
|
||||
def test_deo_idf_archetypes(self):
|
||||
file = (self._example_path / 'C40_Final.gml').resolve()
|
||||
city = self._get_citygml(file)
|
||||
occupancy_handler = 'doe_idf'
|
||||
SchedulesFactory(occupancy_handler, city).enrich()
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user