feature/upgrade_ep_to_23.2.0 #59
2
.gitignore
vendored
2
.gitignore
vendored
@ -9,4 +9,4 @@
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**/hub/logs/
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**/__pycache__/
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**/.idea/
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cerc_hub.egg-info
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3
cerc_hub.egg-info/.gitignore
vendored
3
cerc_hub.egg-info/.gitignore
vendored
@ -1,3 +0,0 @@
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# Except this file
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*
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!.gitignore
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@ -8,6 +8,8 @@ Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concord
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import json
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import urllib.request
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from pathlib import Path
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import xmltodict
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import hub.helpers.constants as cte
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@ -28,12 +30,11 @@ class NrcanCatalog(Catalog):
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Nrcan catalog class
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"""
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def __init__(self, path):
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path = str(path / 'nrcan.xml')
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self._schedules_path = Path(path / 'nrcan_schedules.json').resolve()
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self._space_types_path = Path(path / 'nrcan_space_types.json').resolve()
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self._space_compliance_path = Path(path / 'nrcan_space_compliance_2015.json').resolve()
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self._content = None
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self._schedules = {}
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with open(path, 'r', encoding='utf-8') as xml:
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self._metadata = xmltodict.parse(xml.read())
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self._base_url = self._metadata['nrcan']['@base_url']
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self._load_schedules()
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self._content = Content(self._load_archetypes())
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@ -55,11 +56,9 @@ class NrcanCatalog(Catalog):
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return Schedule(hub_type, raw['values'], data_type, time_step, time_range, day_types)
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def _load_schedules(self):
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usage = self._metadata['nrcan']
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url = f'{self._base_url}{usage["schedules"]}'
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_schedule_types = []
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with urllib.request.urlopen(url) as json_file:
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schedules_type = json.load(json_file)
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with open(self._schedules_path, 'r') as f:
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schedules_type = json.load(f)
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for schedule_type in schedules_type['tables']['schedules']['table']:
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schedule = NrcanCatalog._extract_schedule(schedule_type)
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if schedule_type['name'] not in _schedule_types:
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@ -80,14 +79,11 @@ class NrcanCatalog(Catalog):
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def _load_archetypes(self):
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usages = []
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name = self._metadata['nrcan']
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url_1 = f'{self._base_url}{name["space_types"]}'
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url_2 = f'{self._base_url}{name["space_types_compliance"]}'
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with urllib.request.urlopen(url_1) as json_file:
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space_types = json.load(json_file)['tables']['space_types']['table']
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with open(self._space_types_path, 'r') as f:
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space_types = json.load(f)['tables']['space_types']['table']
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space_types = [st for st in space_types if st['space_type'] == 'WholeBuilding']
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with urllib.request.urlopen(url_2) as json_file:
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space_types_compliance = json.load(json_file)['tables']['space_compliance']['table']
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with open(self._space_compliance_path, 'r') as f:
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space_types_compliance = json.load(f)['tables']['space_compliance']['table']
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space_types_compliance = [st for st in space_types_compliance if st['space_type'] == 'WholeBuilding']
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space_types_dictionary = {}
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for space_type in space_types_compliance:
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@ -1,6 +0,0 @@
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<?xml version="1.0" encoding="UTF-8" ?>
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<nrcan base_url="https://raw.githubusercontent.com/NREL/openstudio-standards/master/lib/openstudio-standards/standards/necb/">
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<space_types>NECB2015/data/space_types.json</space_types>
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<space_types_compliance>NECB2015/qaqc/qaqc_data/space_compliance_2015.json</space_types_compliance>>
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<schedules>NECB2015/data/schedules.json</schedules>
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</nrcan>
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8685
hub/data/usage/nrcan_schedules.json
Normal file
8685
hub/data/usage/nrcan_schedules.json
Normal file
File diff suppressed because it is too large
Load Diff
3211
hub/data/usage/nrcan_space_compliance_2015.json
Normal file
3211
hub/data/usage/nrcan_space_compliance_2015.json
Normal file
File diff suppressed because it is too large
Load Diff
26170
hub/data/usage/nrcan_space_types.json
Normal file
26170
hub/data/usage/nrcan_space_types.json
Normal file
File diff suppressed because it is too large
Load Diff
@ -285,11 +285,11 @@ class Idf:
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self._idf.newidfobject(self._COMPACT_SCHEDULE, **_kwargs)
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def _write_schedules_file(self, usage, schedule):
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file_name = str((Path(self._output_path) / f'{schedule.type} schedules {usage}.dat').resolve())
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file_name = str((Path(self._output_path) / f'{schedule.type} schedules {usage}.csv').resolve())
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with open(file_name, 'w', encoding='utf8') as file:
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for value in schedule.values:
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file.write(f'{str(value)},\n')
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return file_name
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return Path(file_name).name
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def _add_file_schedule(self, usage, schedule, file_name):
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_schedule = self._idf.newidfobject(self._FILE_SCHEDULE, Name=f'{schedule.type} schedules {usage}')
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@ -476,7 +476,7 @@ class Idf:
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self._idf.newidfobject(self._PEOPLE,
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Name=f'{zone_name}_occupancy',
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Zone_or_ZoneList_Name=zone_name,
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Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
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Number_of_People_Schedule_Name=f'Occupancy schedules {thermal_zone.usage_name}',
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Number_of_People_Calculation_Method="People",
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Number_of_People=number_of_people,
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@ -493,7 +493,7 @@ class Idf:
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self._idf.newidfobject(self._LIGHTS,
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Name=f'{zone_name}_lights',
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Zone_or_ZoneList_Name=zone_name,
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Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
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Schedule_Name=f'Lighting schedules {thermal_zone.usage_name}',
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Design_Level_Calculation_Method=method,
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Watts_per_Zone_Floor_Area=watts_per_zone_floor_area,
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@ -512,7 +512,7 @@ class Idf:
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self._idf.newidfobject(self._APPLIANCES,
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Fuel_Type=fuel_type,
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Name=f'{zone_name}_appliance',
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Zone_or_ZoneList_Name=zone_name,
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Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
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Schedule_Name=f'Appliance schedules {thermal_zone.usage_name}',
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Design_Level_Calculation_Method=method,
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Power_per_Zone_Floor_Area=watts_per_zone_floor_area,
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@ -526,7 +526,7 @@ class Idf:
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_infiltration = thermal_zone.infiltration_rate_system_off * cte.HOUR_TO_SECONDS
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self._idf.newidfobject(self._INFILTRATION,
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Name=f'{zone_name}_infiltration',
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Zone_or_ZoneList_Name=zone_name,
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Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
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Schedule_Name=schedule,
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Design_Flow_Rate_Calculation_Method='AirChanges/Hour',
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Air_Changes_per_Hour=_infiltration
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@ -537,7 +537,7 @@ class Idf:
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_air_change = thermal_zone.mechanical_air_change * cte.HOUR_TO_SECONDS
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self._idf.newidfobject(self._VENTILATION,
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Name=f'{zone_name}_ventilation',
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Zone_or_ZoneList_Name=zone_name,
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Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
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Schedule_Name=schedule,
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Design_Flow_Rate_Calculation_Method='AirChanges/Hour',
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Air_Changes_per_Hour=_air_change
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@ -707,8 +707,8 @@ class Idf:
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self._idf.intersect_match()
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def _add_shading(self, building):
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for surface in building.surfaces:
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shading = self._idf.newidfobject(self._SHADING, Name=f'{surface.name}')
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for i, surface in enumerate(building.surfaces):
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shading = self._idf.newidfobject(self._SHADING, Name=f'{building.name}_{i}')
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coordinates = self._matrix_to_list(surface.solid_polygon.coordinates,
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self._city.lower_corner)
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shading.setcoords(coordinates)
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@ -716,17 +716,17 @@ class Idf:
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if solar_reflectance is None:
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solar_reflectance = ConfigurationHelper().short_wave_reflectance
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self._idf.newidfobject(self._SHADING_PROPERTY,
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Shading_Surface_Name=f'{surface.name}',
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Shading_Surface_Name=f'{building.name}_{i}',
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Diffuse_Solar_Reflectance_of_Unglazed_Part_of_Shading_Surface=solar_reflectance,
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Fraction_of_Shading_Surface_That_Is_Glazed=0)
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def _add_pure_geometry(self, building, zone_name):
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for surface in building.surfaces:
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for index, surface in enumerate(building.surfaces):
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outside_boundary_condition = 'Outdoors'
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sun_exposure = 'SunExposed'
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wind_exposure = 'WindExposed'
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idf_surface_type = self.idf_surfaces[surface.type]
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_kwargs = {'Name': f'{surface.name}',
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_kwargs = {'Name': f'Building_{building.name}_surface_{index}',
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'Surface_Type': idf_surface_type,
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'Zone_Name': zone_name}
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if surface.type == cte.GROUND:
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@ -735,7 +735,7 @@ class Idf:
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wind_exposure = 'NoWind'
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if surface.percentage_shared is not None and surface.percentage_shared > 0.5:
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outside_boundary_condition = 'Surface'
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outside_boundary_condition_object = surface.name
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outside_boundary_condition_object = f'Building_{building.name}_surface_{index}'
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sun_exposure = 'NoSun'
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wind_exposure = 'NoWind'
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_kwargs['Outside_Boundary_Condition_Object'] = outside_boundary_condition_object
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@ -760,12 +760,12 @@ class Idf:
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def _add_surfaces(self, building, zone_name):
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for thermal_zone in building.thermal_zones_from_internal_zones:
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for boundary in thermal_zone.thermal_boundaries:
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for index, boundary in enumerate(thermal_zone.thermal_boundaries):
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idf_surface_type = self.idf_surfaces[boundary.parent_surface.type]
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outside_boundary_condition = 'Outdoors'
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sun_exposure = 'SunExposed'
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wind_exposure = 'WindExposed'
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_kwargs = {'Name': f'{boundary.parent_surface.name}',
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_kwargs = {'Name': f'Building_{building.name}_surface_{index}',
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'Surface_Type': idf_surface_type,
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'Zone_Name': zone_name}
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if boundary.parent_surface.type == cte.GROUND:
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@ -774,7 +774,7 @@ class Idf:
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wind_exposure = 'NoWind'
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if boundary.parent_surface.percentage_shared is not None and boundary.parent_surface.percentage_shared > 0.5:
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outside_boundary_condition = 'Surface'
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outside_boundary_condition_object = boundary.parent_surface.name
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outside_boundary_condition_object = f'Building_{building.name}_surface_{index}'
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sun_exposure = 'NoSun'
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wind_exposure = 'NoWind'
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_kwargs['Outside_Boundary_Condition_Object'] = outside_boundary_condition_object
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File diff suppressed because it is too large
Load Diff
@ -213,8 +213,6 @@ class Geojson:
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polygon = Polygon(coordinates)
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polygon.area = igh.ground_area(coordinates)
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surfaces[-1] = Surface(polygon, polygon)
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if len(surfaces) > 1:
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raise ValueError('too many surfaces!!!!')
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building = Building(f'{building_name}', surfaces, year_of_construction, function)
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for alias in building_aliases:
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building.add_alias(alias)
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@ -70,7 +70,7 @@ class InselMonthlyEnergyBalance:
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total_day += value
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for day_type in schedule.day_types:
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total_lighting += total_day * cte.WEEK_DAYS_A_MONTH[month][day_type] \
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* lighting_density / cte.WATTS_HOUR_TO_JULES
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* lighting_density * cte.WATTS_HOUR_TO_JULES
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lighting_demand.append(total_lighting * area)
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for schedule in thermal_zone.appliances.schedules:
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@ -79,7 +79,7 @@ class InselMonthlyEnergyBalance:
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total_day += value
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for day_type in schedule.day_types:
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total_appliances += total_day * cte.WEEK_DAYS_A_MONTH[month][day_type] \
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* appliances_density / cte.WATTS_HOUR_TO_JULES
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* appliances_density * cte.WATTS_HOUR_TO_JULES
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appliances_demand.append(total_appliances * area)
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for schedule in thermal_zone.domestic_hot_water.schedules:
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@ -89,7 +89,7 @@ class InselMonthlyEnergyBalance:
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for day_type in schedule.day_types:
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demand = (
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peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY
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* (service_temperature - cold_water[i_month]) / cte.WATTS_HOUR_TO_JULES
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* (service_temperature - cold_water[i_month]) * cte.WATTS_HOUR_TO_JULES
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)
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total_dhw_demand += total_day * cte.WEEK_DAYS_A_MONTH[month][day_type] * demand
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domestic_hot_water_demand.append(total_dhw_demand * area)
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@ -4,10 +4,8 @@ SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project CoderPeter Yefi peteryefi@gmail.com
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"""
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import json
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from typing import Dict
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from hub.persistence.repositories.application import Application
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from hub.persistence.repositories.city import City
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from hub.persistence.repositories.city_object import CityObject
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@ -75,10 +73,10 @@ class DBControl:
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:
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"""
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cities = self._city.get_by_user_id_application_id_and_scenario(user_id, application_id, scenario)
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for city in cities:
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result = self.building_info(name, city[0].id)
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if result is not None:
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return result
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c = [c[0].id for c in cities]
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result = self._city_object.building_in_cities_info(name, c)
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if result is not None:
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return result
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return None
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def building_info(self, name, city_id) -> CityObject:
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@ -90,17 +88,27 @@ class DBControl:
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"""
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return self._city_object.get_by_name_or_alias_and_city(name, city_id)
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def buildings_info(self, request_values, city_id) -> [CityObject]:
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def building_info_in_cities(self, name, cities) -> CityObject:
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"""
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Retrieve the building info from the database
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:param name: Building name
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:param cities: [City ID]
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:return: CityObject
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"""
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return self._city_object.get_by_name_or_alias_in_cities(name, cities)
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def buildings_info(self, user_id, application_id, names_or_aliases) -> [CityObject]:
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"""
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Retrieve the buildings info from the database
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:param request_values: Building names
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:param city_id: City ID
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:param user_id: User ID
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:param application_id: Application ID
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:param names_or_aliases: A list of names or alias for the buildings
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:return: [CityObject]
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"""
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buildings = []
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for name in request_values['names']:
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buildings.append(self.building_info(name, city_id))
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return buildings
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results = self._city_object.get_by_name_or_alias_for_user_app(user_id, application_id, names_or_aliases)
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if results is None:
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return []
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return results
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def results(self, user_id, application_id, request_values, result_names=None) -> Dict:
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"""
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@ -134,7 +142,7 @@ class DBControl:
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result_names)
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for value in _:
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values = json.loads(value.values)
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values = value.values
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values["building"] = building_name
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results[scenario_name].append(values)
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return results
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@ -6,14 +6,16 @@ Project Coder Guille Gutierrez Guillermo.GutierrezMorote@concordia.ca
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"""
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import datetime
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import logging
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from typing import Union
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from sqlalchemy import select, or_
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from sqlalchemy import select
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from sqlalchemy.exc import SQLAlchemyError
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from sqlalchemy.orm import Session
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from hub.city_model_structure.building import Building
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from hub.persistence.repository import Repository
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from hub.persistence.models import CityObject as Model
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from hub.persistence.models import City as CityModel
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from hub.persistence.repository import Repository
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class CityObject(Repository):
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@ -72,7 +74,7 @@ class CityObject(Repository):
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with Session(self.engine) as session:
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session.query(Model).filter(Model.name == building.name, Model.city_id == city_id).update(
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{'name': building.name,
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'alias': building.alias,
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'aliases': building.aliases,
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'object_type': building.type,
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'year_of_construction': building.year_of_construction,
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'function': building.function,
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@ -100,7 +102,61 @@ class CityObject(Repository):
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logging.error('Error while deleting application %s', err)
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raise SQLAlchemyError from err
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def get_by_name_or_alias_and_city(self, name, city_id) -> Model:
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def building_in_cities_info(self, name, cities):
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"""
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Fetch a city object based on name and city id
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:param name: city object name
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:param cities: city identifiers
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:return: [CityObject] with the provided name or alias belonging to the city with id city_id
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"""
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try:
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# search by name first
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with Session(self.engine) as session:
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city_object = session.execute(select(Model).where(
|
||||
Model.name == name, Model.city_id.in_(cities))
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).first()
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if city_object is not None:
|
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return city_object[0]
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# name not found, so search by alias instead
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city_objects = session.execute(
|
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select(Model).where(Model.aliases.contains(name), Model.city_id.in_(cities))
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).all()
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for city_object in city_objects:
|
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aliases = city_object[0].aliases.replace('{', '').replace('}', '').split(',')
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for alias in aliases:
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if alias == name:
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# force the name as the alias
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city_object[0].name = name
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return city_object[0]
|
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return None
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except SQLAlchemyError as err:
|
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logging.error('Error while fetching city object by name and city: %s', err)
|
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raise SQLAlchemyError from err
|
||||
except IndexError as err:
|
||||
logging.error('Error while fetching city object by name and city, empty result %s', err)
|
||||
raise IndexError from err
|
||||
|
||||
def get_by_name_or_alias_for_user_app(self, user_id, application_id, names) -> Union[Model, None]:
|
||||
"""
|
||||
Fetch city objects belonging to the user and application where the name or alias is in the names list
|
||||
:param user_id: User ID
|
||||
:param application_id: Application ID
|
||||
:param names: a list of building aliases or names
|
||||
:return [CityObject] or None
|
||||
"""
|
||||
with Session(self.engine) as session:
|
||||
cities = session.execute(select(CityModel).where(
|
||||
CityModel.user_id == user_id, CityModel.application_id == application_id
|
||||
)).all()
|
||||
ids = [c[0].id for c in cities]
|
||||
buildings = session.execute(select(Model).where(
|
||||
Model.city_id.in_(ids), Model.name.in_(names)
|
||||
))
|
||||
results = [r[0] for r in buildings]
|
||||
print(ids, buildings)
|
||||
return None
|
||||
|
||||
def get_by_name_or_alias_and_city(self, name, city_id) -> Union[Model, None]:
|
||||
"""
|
||||
Fetch a city object based on name and city id
|
||||
:param name: city object name
|
||||
@ -142,12 +198,12 @@ class CityObject(Repository):
|
||||
try:
|
||||
# search by name first
|
||||
with Session(self.engine) as session:
|
||||
city_object = session.execute(select(Model).where(Model.name == name, Model.city_id in city_ids)).first()
|
||||
city_object = session.execute(select(Model).where(Model.name == name, Model.city_id.in_(tuple(city_ids)))).first()
|
||||
if city_object is not None:
|
||||
return city_object[0]
|
||||
# name not found, so search by alias instead
|
||||
city_objects = session.execute(
|
||||
select(Model).where(Model.aliases.contains(name), Model.city_id in city_ids)
|
||||
select(Model).where(Model.aliases.contains(name), Model.city_id.in_(tuple(city_ids)))
|
||||
).all()
|
||||
for city_object in city_objects:
|
||||
aliases = city_object[0].aliases.replace('{', '').replace('}', '').split(',')
|
||||
|
@ -1,4 +1,4 @@
|
||||
"""
|
||||
Hub version number
|
||||
"""
|
||||
__version__ = '0.1.8.28'
|
||||
__version__ = '0.1.8.36'
|
||||
|
1
setup.py
1
setup.py
@ -100,6 +100,7 @@ setup(
|
||||
('hub/data/geolocation', glob.glob('hub/data/geolocation/*.txt')),
|
||||
('hub/data/greenery', glob.glob('hub/data/greenery/*.xml')),
|
||||
('hub/data/usage', glob.glob('hub/data/usage/*.xml')),
|
||||
('hub/data/usage', glob.glob('hub/data/usage/*.json')),
|
||||
('hub/data/usage', glob.glob('hub/data/usage/*.xlsx')),
|
||||
('hub/data/weather', glob.glob('hub/data/weather/*.dat')),
|
||||
('hub/data/weather/epw', glob.glob('hub/data/weather/epw/*.epw')),
|
||||
|
@ -6,7 +6,6 @@ Project Coder Peter Yefi peteryefi@gmail.com
|
||||
"""
|
||||
import distutils.spawn
|
||||
import glob
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import subprocess
|
||||
@ -248,36 +247,36 @@ TestDBFactory
|
||||
for x in building.onsite_electrical_production[cte.MONTH]]
|
||||
yearly_on_site_electrical_production = [x * cte.WATTS_HOUR_TO_JULES
|
||||
for x in building.onsite_electrical_production[cte.YEAR]]
|
||||
results = json.dumps({cte.INSEL_MEB: [
|
||||
{'monthly_cooling_peak_load': monthly_cooling_peak_load},
|
||||
{'yearly_cooling_peak_load': yearly_cooling_peak_load},
|
||||
{'monthly_heating_peak_load': monthly_heating_peak_load},
|
||||
{'yearly_heating_peak_load': yearly_heating_peak_load},
|
||||
{'monthly_lighting_peak_load': monthly_lighting_peak_load},
|
||||
{'yearly_lighting_peak_load': yearly_lighting_peak_load},
|
||||
{'monthly_appliances_peak_load': monthly_appliances_peak_load},
|
||||
{'yearly_appliances_peak_load': yearly_appliances_peak_load},
|
||||
{'monthly_cooling_demand': monthly_cooling_demand},
|
||||
{'yearly_cooling_demand': yearly_cooling_demand},
|
||||
{'monthly_heating_demand': monthly_heating_demand},
|
||||
{'yearly_heating_demand': yearly_heating_demand},
|
||||
{'monthly_lighting_electrical_demand': monthly_lighting_electrical_demand},
|
||||
{'yearly_lighting_electrical_demand': yearly_lighting_electrical_demand},
|
||||
{'monthly_appliances_electrical_demand': monthly_appliances_electrical_demand},
|
||||
{'yearly_appliances_electrical_demand': yearly_appliances_electrical_demand},
|
||||
{'monthly_domestic_hot_water_heat_demand': monthly_domestic_hot_water_heat_demand},
|
||||
{'yearly_domestic_hot_water_heat_demand': yearly_domestic_hot_water_heat_demand},
|
||||
{'monthly_heating_consumption': monthly_heating_consumption},
|
||||
{'yearly_heating_consumption': yearly_heating_consumption},
|
||||
{'monthly_cooling_consumption': monthly_cooling_consumption},
|
||||
{'yearly_cooling_consumption': yearly_cooling_consumption},
|
||||
{'monthly_domestic_hot_water_consumption': monthly_domestic_hot_water_consumption},
|
||||
{'yearly_domestic_hot_water_consumption': yearly_domestic_hot_water_consumption},
|
||||
{'monthly_distribution_systems_electrical_consumption': monthly_distribution_systems_electrical_consumption},
|
||||
{'yearly_distribution_systems_electrical_consumption': yearly_distribution_systems_electrical_consumption},
|
||||
{'monthly_on_site_electrical_production': monthly_on_site_electrical_production},
|
||||
{'yearly_on_site_electrical_production': yearly_on_site_electrical_production}
|
||||
]})
|
||||
results = {cte.INSEL_MEB: {
|
||||
'monthly_cooling_peak_load': monthly_cooling_peak_load,
|
||||
'yearly_cooling_peak_load': yearly_cooling_peak_load,
|
||||
'monthly_heating_peak_load': monthly_heating_peak_load,
|
||||
'yearly_heating_peak_load': yearly_heating_peak_load,
|
||||
'monthly_lighting_peak_load': monthly_lighting_peak_load,
|
||||
'yearly_lighting_peak_load': yearly_lighting_peak_load,
|
||||
'monthly_appliances_peak_load': monthly_appliances_peak_load,
|
||||
'yearly_appliances_peak_load': yearly_appliances_peak_load,
|
||||
'monthly_cooling_demand': monthly_cooling_demand,
|
||||
'yearly_cooling_demand': yearly_cooling_demand,
|
||||
'monthly_heating_demand': monthly_heating_demand,
|
||||
'yearly_heating_demand': yearly_heating_demand,
|
||||
'monthly_lighting_electrical_demand': monthly_lighting_electrical_demand,
|
||||
'yearly_lighting_electrical_demand': yearly_lighting_electrical_demand,
|
||||
'monthly_appliances_electrical_demand': monthly_appliances_electrical_demand,
|
||||
'yearly_appliances_electrical_demand': yearly_appliances_electrical_demand,
|
||||
'monthly_domestic_hot_water_heat_demand': monthly_domestic_hot_water_heat_demand,
|
||||
'yearly_domestic_hot_water_heat_demand': yearly_domestic_hot_water_heat_demand,
|
||||
'monthly_heating_consumption': monthly_heating_consumption,
|
||||
'yearly_heating_consumption': yearly_heating_consumption,
|
||||
'monthly_cooling_consumption': monthly_cooling_consumption,
|
||||
'yearly_cooling_consumption': yearly_cooling_consumption,
|
||||
'monthly_domestic_hot_water_consumption': monthly_domestic_hot_water_consumption,
|
||||
'yearly_domestic_hot_water_consumption': yearly_domestic_hot_water_consumption,
|
||||
'monthly_distribution_systems_electrical_consumption': monthly_distribution_systems_electrical_consumption,
|
||||
'yearly_distribution_systems_electrical_consumption': yearly_distribution_systems_electrical_consumption,
|
||||
'monthly_on_site_electrical_production': monthly_on_site_electrical_production,
|
||||
'yearly_on_site_electrical_production': yearly_on_site_electrical_production
|
||||
}}
|
||||
|
||||
db_building_id = _building.id
|
||||
city_objects_id.append(db_building_id)
|
||||
@ -286,6 +285,8 @@ TestDBFactory
|
||||
results, city_object_id=db_building_id)
|
||||
self.assertEqual(17, len(city_objects_id), 'wrong number of results')
|
||||
self.assertIsNotNone(city_objects_id[0], 'city_object_id is None')
|
||||
results = control.database.results(control.user_id, control.application_id, request_values)
|
||||
|
||||
for _id in city_objects_id:
|
||||
control.database.delete_results_by_name('insel meb', city_object_id=_id)
|
||||
control.database.delete_city(city_id)
|
||||
|
@ -5,11 +5,8 @@ Copyright © 2022 Concordia CERC group
|
||||
Project Coder Peter Yefi peteryefi@gmail.com
|
||||
"""
|
||||
import distutils.spawn
|
||||
import glob
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import subprocess
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
from unittest import TestCase
|
||||
@ -18,19 +15,7 @@ import sqlalchemy.exc
|
||||
from sqlalchemy import create_engine
|
||||
from sqlalchemy.exc import ProgrammingError
|
||||
|
||||
import hub.helpers.constants as cte
|
||||
from hub.exports.energy_building_exports_factory import EnergyBuildingsExportsFactory
|
||||
from hub.exports.exports_factory import ExportsFactory
|
||||
from hub.helpers.data.montreal_function_to_hub_function import MontrealFunctionToHubFunction
|
||||
from hub.imports.construction_factory import ConstructionFactory
|
||||
from hub.imports.energy_systems_factory import EnergySystemsFactory
|
||||
from hub.imports.geometry_factory import GeometryFactory
|
||||
from hub.imports.results_factory import ResultFactory
|
||||
from hub.imports.usage_factory import UsageFactory
|
||||
from hub.imports.weather_factory import WeatherFactory
|
||||
from hub.persistence.db_control import DBControl
|
||||
from hub.persistence.models import City, Application, CityObject, SimulationResults
|
||||
from hub.persistence.models import User, UserRoles
|
||||
from hub.persistence.repository import Repository
|
||||
|
||||
|
||||
@ -129,24 +114,12 @@ TestDBFactory
|
||||
"""
|
||||
|
||||
@unittest.skipIf(control.skip_test, control.skip_reason)
|
||||
def test_retrieve_results(self):
|
||||
def test_buildings_info(self):
|
||||
request_values = {
|
||||
"scenarios": [
|
||||
{
|
||||
"current status": ["01002777", "01002773", "01036804"]
|
||||
},
|
||||
{
|
||||
"skin retrofit": ["01002777", "01002773", "01036804"]
|
||||
},
|
||||
{
|
||||
"system retrofit and pv": ["01002777", "01002773", "01036804"]
|
||||
},
|
||||
{
|
||||
"skin and system retrofit with pv": ["01002777", "01002773", "01036804"]
|
||||
}
|
||||
|
||||
|
||||
"buildings": [
|
||||
"01002777", "01002773", "01036804"
|
||||
]
|
||||
}
|
||||
results = control.database.results(control.user_id, control.application_id, request_values)
|
||||
results = control.database.buildings_info(control.user_id, control.application_id, request_values)
|
||||
self.assertEqual(12, len(results), 'wrong number of results')
|
||||
print(results)
|
||||
|
@ -143,7 +143,6 @@ class TestExports(TestCase):
|
||||
EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
|
||||
UsageFactory('nrcan', city).enrich()
|
||||
WeatherFactory('epw', city).enrich()
|
||||
print(self._output_path)
|
||||
try:
|
||||
EnergyBuildingsExportsFactory('idf', city, self._output_path).export()
|
||||
except Exception:
|
||||
|
Loading…
Reference in New Issue
Block a user