feature/upgrade_ep_to_23.2.0 #59

Merged
g_gutierrez merged 10 commits from feature/upgrade_ep_to_23.2.0 into main 2024-01-22 08:34:48 -05:00
18 changed files with 46864 additions and 135 deletions
Showing only changes of commit e0e7daf64b - Show all commits

2
.gitignore vendored
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@ -9,4 +9,4 @@
**/hub/logs/
**/__pycache__/
**/.idea/
cerc_hub.egg-info

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@ -1,3 +0,0 @@
# Except this file
*
!.gitignore

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@ -8,6 +8,8 @@ Code contributors: Pilar Monsalvete Alvarez de Uribarri pilar.monsalvete@concord
import json
import urllib.request
from pathlib import Path
import xmltodict
import hub.helpers.constants as cte
@ -28,12 +30,11 @@ class NrcanCatalog(Catalog):
Nrcan catalog class
"""
def __init__(self, path):
path = str(path / 'nrcan.xml')
self._schedules_path = Path(path / 'nrcan_schedules.json').resolve()
self._space_types_path = Path(path / 'nrcan_space_types.json').resolve()
self._space_compliance_path = Path(path / 'nrcan_space_compliance_2015.json').resolve()
self._content = None
self._schedules = {}
with open(path, 'r', encoding='utf-8') as xml:
self._metadata = xmltodict.parse(xml.read())
self._base_url = self._metadata['nrcan']['@base_url']
self._load_schedules()
self._content = Content(self._load_archetypes())
@ -55,11 +56,9 @@ class NrcanCatalog(Catalog):
return Schedule(hub_type, raw['values'], data_type, time_step, time_range, day_types)
def _load_schedules(self):
usage = self._metadata['nrcan']
url = f'{self._base_url}{usage["schedules"]}'
_schedule_types = []
with urllib.request.urlopen(url) as json_file:
schedules_type = json.load(json_file)
with open(self._schedules_path, 'r') as f:
schedules_type = json.load(f)
for schedule_type in schedules_type['tables']['schedules']['table']:
schedule = NrcanCatalog._extract_schedule(schedule_type)
if schedule_type['name'] not in _schedule_types:
@ -80,14 +79,11 @@ class NrcanCatalog(Catalog):
def _load_archetypes(self):
usages = []
name = self._metadata['nrcan']
url_1 = f'{self._base_url}{name["space_types"]}'
url_2 = f'{self._base_url}{name["space_types_compliance"]}'
with urllib.request.urlopen(url_1) as json_file:
space_types = json.load(json_file)['tables']['space_types']['table']
with open(self._space_types_path, 'r') as f:
space_types = json.load(f)['tables']['space_types']['table']
space_types = [st for st in space_types if st['space_type'] == 'WholeBuilding']
with urllib.request.urlopen(url_2) as json_file:
space_types_compliance = json.load(json_file)['tables']['space_compliance']['table']
with open(self._space_compliance_path, 'r') as f:
space_types_compliance = json.load(f)['tables']['space_compliance']['table']
space_types_compliance = [st for st in space_types_compliance if st['space_type'] == 'WholeBuilding']
space_types_dictionary = {}
for space_type in space_types_compliance:

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@ -1,6 +0,0 @@
<?xml version="1.0" encoding="UTF-8" ?>
<nrcan base_url="https://raw.githubusercontent.com/NREL/openstudio-standards/master/lib/openstudio-standards/standards/necb/">
<space_types>NECB2015/data/space_types.json</space_types>
<space_types_compliance>NECB2015/qaqc/qaqc_data/space_compliance_2015.json</space_types_compliance>>
<schedules>NECB2015/data/schedules.json</schedules>
</nrcan>

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@ -285,11 +285,11 @@ class Idf:
self._idf.newidfobject(self._COMPACT_SCHEDULE, **_kwargs)
def _write_schedules_file(self, usage, schedule):
file_name = str((Path(self._output_path) / f'{schedule.type} schedules {usage}.dat').resolve())
file_name = str((Path(self._output_path) / f'{schedule.type} schedules {usage}.csv').resolve())
with open(file_name, 'w', encoding='utf8') as file:
for value in schedule.values:
file.write(f'{str(value)},\n')
return file_name
return Path(file_name).name
def _add_file_schedule(self, usage, schedule, file_name):
_schedule = self._idf.newidfobject(self._FILE_SCHEDULE, Name=f'{schedule.type} schedules {usage}')
@ -476,7 +476,7 @@ class Idf:
self._idf.newidfobject(self._PEOPLE,
Name=f'{zone_name}_occupancy',
Zone_or_ZoneList_Name=zone_name,
Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
Number_of_People_Schedule_Name=f'Occupancy schedules {thermal_zone.usage_name}',
Number_of_People_Calculation_Method="People",
Number_of_People=number_of_people,
@ -493,7 +493,7 @@ class Idf:
self._idf.newidfobject(self._LIGHTS,
Name=f'{zone_name}_lights',
Zone_or_ZoneList_Name=zone_name,
Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
Schedule_Name=f'Lighting schedules {thermal_zone.usage_name}',
Design_Level_Calculation_Method=method,
Watts_per_Zone_Floor_Area=watts_per_zone_floor_area,
@ -512,7 +512,7 @@ class Idf:
self._idf.newidfobject(self._APPLIANCES,
Fuel_Type=fuel_type,
Name=f'{zone_name}_appliance',
Zone_or_ZoneList_Name=zone_name,
Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
Schedule_Name=f'Appliance schedules {thermal_zone.usage_name}',
Design_Level_Calculation_Method=method,
Power_per_Zone_Floor_Area=watts_per_zone_floor_area,
@ -526,7 +526,7 @@ class Idf:
_infiltration = thermal_zone.infiltration_rate_system_off * cte.HOUR_TO_SECONDS
self._idf.newidfobject(self._INFILTRATION,
Name=f'{zone_name}_infiltration',
Zone_or_ZoneList_Name=zone_name,
Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
Schedule_Name=schedule,
Design_Flow_Rate_Calculation_Method='AirChanges/Hour',
Air_Changes_per_Hour=_infiltration
@ -537,7 +537,7 @@ class Idf:
_air_change = thermal_zone.mechanical_air_change * cte.HOUR_TO_SECONDS
self._idf.newidfobject(self._VENTILATION,
Name=f'{zone_name}_ventilation',
Zone_or_ZoneList_Name=zone_name,
Zone_or_ZoneList_or_Space_or_SpaceList_Name=zone_name,
Schedule_Name=schedule,
Design_Flow_Rate_Calculation_Method='AirChanges/Hour',
Air_Changes_per_Hour=_air_change
@ -707,8 +707,8 @@ class Idf:
self._idf.intersect_match()
def _add_shading(self, building):
for surface in building.surfaces:
shading = self._idf.newidfobject(self._SHADING, Name=f'{surface.name}')
for i, surface in enumerate(building.surfaces):
shading = self._idf.newidfobject(self._SHADING, Name=f'{building.name}_{i}')
coordinates = self._matrix_to_list(surface.solid_polygon.coordinates,
self._city.lower_corner)
shading.setcoords(coordinates)
@ -716,17 +716,17 @@ class Idf:
if solar_reflectance is None:
solar_reflectance = ConfigurationHelper().short_wave_reflectance
self._idf.newidfobject(self._SHADING_PROPERTY,
Shading_Surface_Name=f'{surface.name}',
Shading_Surface_Name=f'{building.name}_{i}',
Diffuse_Solar_Reflectance_of_Unglazed_Part_of_Shading_Surface=solar_reflectance,
Fraction_of_Shading_Surface_That_Is_Glazed=0)
def _add_pure_geometry(self, building, zone_name):
for surface in building.surfaces:
for index, surface in enumerate(building.surfaces):
outside_boundary_condition = 'Outdoors'
sun_exposure = 'SunExposed'
wind_exposure = 'WindExposed'
idf_surface_type = self.idf_surfaces[surface.type]
_kwargs = {'Name': f'{surface.name}',
_kwargs = {'Name': f'Building_{building.name}_surface_{index}',
'Surface_Type': idf_surface_type,
'Zone_Name': zone_name}
if surface.type == cte.GROUND:
@ -735,7 +735,7 @@ class Idf:
wind_exposure = 'NoWind'
if surface.percentage_shared is not None and surface.percentage_shared > 0.5:
outside_boundary_condition = 'Surface'
outside_boundary_condition_object = surface.name
outside_boundary_condition_object = f'Building_{building.name}_surface_{index}'
sun_exposure = 'NoSun'
wind_exposure = 'NoWind'
_kwargs['Outside_Boundary_Condition_Object'] = outside_boundary_condition_object
@ -760,12 +760,12 @@ class Idf:
def _add_surfaces(self, building, zone_name):
for thermal_zone in building.thermal_zones_from_internal_zones:
for boundary in thermal_zone.thermal_boundaries:
for index, boundary in enumerate(thermal_zone.thermal_boundaries):
idf_surface_type = self.idf_surfaces[boundary.parent_surface.type]
outside_boundary_condition = 'Outdoors'
sun_exposure = 'SunExposed'
wind_exposure = 'WindExposed'
_kwargs = {'Name': f'{boundary.parent_surface.name}',
_kwargs = {'Name': f'Building_{building.name}_surface_{index}',
'Surface_Type': idf_surface_type,
'Zone_Name': zone_name}
if boundary.parent_surface.type == cte.GROUND:
@ -774,7 +774,7 @@ class Idf:
wind_exposure = 'NoWind'
if boundary.parent_surface.percentage_shared is not None and boundary.parent_surface.percentage_shared > 0.5:
outside_boundary_condition = 'Surface'
outside_boundary_condition_object = boundary.parent_surface.name
outside_boundary_condition_object = f'Building_{building.name}_surface_{index}'
sun_exposure = 'NoSun'
wind_exposure = 'NoWind'
_kwargs['Outside_Boundary_Condition_Object'] = outside_boundary_condition_object

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@ -213,8 +213,6 @@ class Geojson:
polygon = Polygon(coordinates)
polygon.area = igh.ground_area(coordinates)
surfaces[-1] = Surface(polygon, polygon)
if len(surfaces) > 1:
raise ValueError('too many surfaces!!!!')
building = Building(f'{building_name}', surfaces, year_of_construction, function)
for alias in building_aliases:
building.add_alias(alias)

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@ -70,7 +70,7 @@ class InselMonthlyEnergyBalance:
total_day += value
for day_type in schedule.day_types:
total_lighting += total_day * cte.WEEK_DAYS_A_MONTH[month][day_type] \
* lighting_density / cte.WATTS_HOUR_TO_JULES
* lighting_density * cte.WATTS_HOUR_TO_JULES
lighting_demand.append(total_lighting * area)
for schedule in thermal_zone.appliances.schedules:
@ -79,7 +79,7 @@ class InselMonthlyEnergyBalance:
total_day += value
for day_type in schedule.day_types:
total_appliances += total_day * cte.WEEK_DAYS_A_MONTH[month][day_type] \
* appliances_density / cte.WATTS_HOUR_TO_JULES
* appliances_density * cte.WATTS_HOUR_TO_JULES
appliances_demand.append(total_appliances * area)
for schedule in thermal_zone.domestic_hot_water.schedules:
@ -89,7 +89,7 @@ class InselMonthlyEnergyBalance:
for day_type in schedule.day_types:
demand = (
peak_flow * cte.WATER_DENSITY * cte.WATER_HEAT_CAPACITY
* (service_temperature - cold_water[i_month]) / cte.WATTS_HOUR_TO_JULES
* (service_temperature - cold_water[i_month]) * cte.WATTS_HOUR_TO_JULES
)
total_dhw_demand += total_day * cte.WEEK_DAYS_A_MONTH[month][day_type] * demand
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
Copyright © 2022 Concordia CERC group
Project CoderPeter Yefi peteryefi@gmail.com
"""
import json
from typing import Dict
from hub.persistence.repositories.application import Application
from hub.persistence.repositories.city import City
from hub.persistence.repositories.city_object import CityObject
@ -75,8 +73,8 @@ class DBControl:
:
"""
cities = self._city.get_by_user_id_application_id_and_scenario(user_id, application_id, scenario)
for city in cities:
result = self.building_info(name, city[0].id)
c = [c[0].id for c in cities]
result = self._city_object.building_in_cities_info(name, c)
if result is not None:
return result
return None
@ -90,17 +88,27 @@ class DBControl:
"""
return self._city_object.get_by_name_or_alias_and_city(name, city_id)
def buildings_info(self, request_values, city_id) -> [CityObject]:
def building_info_in_cities(self, name, cities) -> CityObject:
"""
Retrieve the building info from the database
:param name: Building name
:param cities: [City ID]
:return: CityObject
"""
return self._city_object.get_by_name_or_alias_in_cities(name, cities)
def buildings_info(self, user_id, application_id, names_or_aliases) -> [CityObject]:
"""
Retrieve the buildings info from the database
:param request_values: Building names
:param city_id: City ID
:param user_id: User ID
:param application_id: Application ID
:param names_or_aliases: A list of names or alias for the buildings
:return: [CityObject]
"""
buildings = []
for name in request_values['names']:
buildings.append(self.building_info(name, city_id))
return buildings
results = self._city_object.get_by_name_or_alias_for_user_app(user_id, application_id, names_or_aliases)
if results is None:
return []
return results
def results(self, user_id, application_id, request_values, result_names=None) -> Dict:
"""
@ -134,7 +142,7 @@ class DBControl:
result_names)
for value in _:
values = json.loads(value.values)
values = value.values
values["building"] = building_name
results[scenario_name].append(values)
return results

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@ -6,14 +6,16 @@ Project Coder Guille Gutierrez Guillermo.GutierrezMorote@concordia.ca
"""
import datetime
import logging
from typing import Union
from sqlalchemy import select, or_
from sqlalchemy import select
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.orm import Session
from hub.city_model_structure.building import Building
from hub.persistence.repository import Repository
from hub.persistence.models import CityObject as Model
from hub.persistence.models import City as CityModel
from hub.persistence.repository import Repository
class CityObject(Repository):
@ -72,7 +74,7 @@ class CityObject(Repository):
with Session(self.engine) as session:
session.query(Model).filter(Model.name == building.name, Model.city_id == city_id).update(
{'name': building.name,
'alias': building.alias,
'aliases': building.aliases,
'object_type': building.type,
'year_of_construction': building.year_of_construction,
'function': building.function,
@ -100,7 +102,61 @@ class CityObject(Repository):
logging.error('Error while deleting application %s', err)
raise SQLAlchemyError from err
def get_by_name_or_alias_and_city(self, name, city_id) -> Model:
def building_in_cities_info(self, name, cities):
"""
Fetch a city object based on name and city id
:param name: city object name
:param cities: city identifiers
:return: [CityObject] with the provided name or alias belonging to the city with id city_id
"""
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_(cities))
).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_(cities))
).all()
for city_object in city_objects:
aliases = city_object[0].aliases.replace('{', '').replace('}', '').split(',')
for alias in aliases:
if alias == name:
# force the name as the alias
city_object[0].name = name
return city_object[0]
return None
except SQLAlchemyError as err:
logging.error('Error while fetching city object by name and city: %s', err)
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(',')

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@ -1,4 +1,4 @@
"""
Hub version number
"""
__version__ = '0.1.8.28'
__version__ = '0.1.8.36'

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@ -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')),

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@ -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)

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@ -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)

View File

@ -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: