def converttest(request):
file = get_eplus_dirs(settings.ep_version) / "ExampleFiles" / request.param
# file = request.param
window_file = "W74-lib.dat"
template_dir = os.path.join("trnslator", "ressources")
window_filepath = os.path.join(template_dir, window_file)
template_d18 = "tests/input_data/trnsys/NewFileTemplate.d18"
trnsidf_exe = "docker/trnsidf/trnsidf.exe" # 'docker/trnsidf/trnsidf.exe'
# prepare args (key=value). Key is a unique id for the runs (here the
# file basename is used). Value is a dict of the function arguments
kwargs_dict = {
"u_value": 2.5,
"shgc": 0.6,
"t_vis": 0.78,
"tolerance": 0.05,
"ordered": True,
}
idf = load_idf(file)
weather_file = os.path.join("tests", "input_data",
"CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw")
output_folder = os.path.relpath(settings.data_folder)
yield idf, file, weather_file, window_filepath, trnsidf_exe, template_d18, output_folder, kwargs_dict
del idf
def test_wwr():
from trnslator import load_idf
idf_file = Path("tests/input_data/necb/").glob(
"*{}*.idf".format("FullServiceRestaurant"))
idf = load_idf(next(iter(idf_file)))
print(idf.name)
print(idf.wwr(round_to=10))
def test_space_heating_profile(config):
from trnslator import load_idf
file = "tests/input_data/necb/NECB 2011-Warehouse-NECB HDD Method-CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw.idf"
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
idf = load_idf(file, None, weather_file=wf)
assert not idf.space_heating_profile().empty
def test_run_eplus_from_idf(clean_config):
file = get_eplus_dirs(
settings.ep_version) / "ExampleFiles" / "5ZoneNightVent1.idf"
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
idf = tr.load_idf(file, weather_file=wf)
sql = idf.run_eplus(prep_outputs=True, output_report="sql")
assert sql
def schedules_idf():
config(cache_folder="tests/.temp/cache")
idf = load_idf(
idf_file,
include=[
get_eplus_dirs(settings.ep_version) / "DataSets" / "TDV" /
"TDV_2008_kBtu_CTZ06.csv"
],
)
return idf
def test_load_old(config):
files = [
"tests/input_data/problematic/nat_ventilation_SAMPLE0.idf",
get_eplus_dirs(settings.ep_version) / "ExampleFiles" /
"5ZoneNightVent1.idf",
]
obj = {os.path.basename(file): tr.load_idf(file) for file in files}
assert not any(isinstance(a, Exception) for a in obj.values())
def test_space_cooling_profile(config):
from trnslator import load_idf
file = (get_eplus_dirs(settings.ep_version) / "ExampleFiles" /
"BasicsFiles" / "AdultEducationCenter.idf")
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
idf = load_idf(file, None, weather_file=wf)
assert not idf.space_cooling_profile().empty
def test_dhw_profile(config):
from trnslator import load_idf
file = "tests/input_data/necb/NECB 2011-Warehouse-NECB HDD Method-CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw.idf"
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
idf = load_idf(file, None, weather_file=wf)
shw = idf.service_water_heating_profile()
assert shw.sum() > 0
print(shw.resample("M").sum())
def test_load_idf(config):
"""Will load an idf object"""
files = [
get_eplus_dirs(settings.ep_version) / "ExampleFiles" /
"5ZoneNightVent1.idf",
get_eplus_dirs(settings.ep_version) / "ExampleFiles" / "BasicsFiles" /
"AdultEducationCenter.idf",
]
obj = {os.path.basename(file): tr.load_idf(file) for file in files}
assert isinstance(obj, dict)
def test_area(archetype, area):
"""Test the conditioned_area property against published values
desired values taken from https://github.com/canmet-energy/btap"""
import numpy as np
from trnslator import load_idf
idf_file = Path("tests/input_data/necb/").glob(
"*{}*.idf".format(archetype))
idf = load_idf(next(iter(idf_file)))
np.testing.assert_almost_equal(actual=idf.area_conditioned,
desired=area,
decimal=0)
def test_schedules_in_necb_specific(config):
files = [
"tests/input_data/necb/NECB 2011-MediumOffice-NECB HDD Method-CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw.idf"
]
idfs = {os.path.basename(file): load_idf(file) for file in files}
import matplotlib.pyplot as plt
for key in idfs:
idf = idfs[key]
s = Schedule(Name="NECB-A-Thermostat Setpoint-Heating",
idf=idf,
start_day_of_the_week=0)
s.plot(slice=("2018/01/02", "2018/01/03"), drawstyle="steps-post")
plt.show()
def test_partition_ratio():
from trnslator import load_idf
idf_file = Path("tests/input_data/necb/").glob("*LargeOffice*.idf")
idf = load_idf(next(iter(idf_file)))
print(idf.partition_ratio)