def test_run_olderv_problematic(clean_config):
"""Will run eplus on a file that needs to be upgraded and that should
fail. Will be ignored in the test suite"""
file = "tests/input_data/problematic/RefBldgLargeOfficeNew2004_v1.4_7.2_5A_USA_IL_CHICAGO-OHARE.idf"
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
tr.run_eplus(file,
wf,
prep_outputs=True,
annual=True,
expandobjects=True,
verbose="q")
def test_old_than_change_args(clean_config):
"""Should upgrade file only once even if run_eplus args are changed afterwards"""
from trnslator import run_eplus
file = (get_eplus_dirs(settings.ep_version) / "ExampleFiles" /
"RefBldgQuickServiceRestaurantNew2004_Chicago.idf")
epw = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
idf = run_eplus(file, epw, prep_outputs=True, output_report="sql_file")
idf = run_eplus(file, epw, prep_outputs=True, output_report="sql_file")
idf = run_eplus(file, epw, prep_outputs=True, output_report="sql")
def test_run_olderv(clean_config, ep_version):
"""Will run eplus on a file that needs to be upgraded with one that does
not"""
tr.settings.use_cache = False
files = [
"tests/input_data/problematic/nat_ventilation_SAMPLE0.idf",
get_eplus_dirs(settings.ep_version) / "ExampleFiles" /
"5ZoneNightVent1.idf",
]
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
files = tr.copy_file(files)
rundict = {
file: dict(
eplus_file=file,
weather_file=wf,
ep_version=ep_version,
annual=True,
prep_outputs=True,
expandobjects=True,
verbose="q",
output_report="sql",
)
for file in files
}
result = {file: tr.run_eplus(**rundict[file]) for file in files}
def test_add_object_and_run_ep(self, config, converttesteasy):
# Gets from fixture paths to files and IDF object to be used in test
(
idf,
idf_file,
weather_file,
window_lib,
trnsidf_exe,
template,
output_folder,
kwargs,
) = converttesteasy
ep_version = None
# Adds Output variable in IDF
outputs = [
{
"ep_object":
"Output:Variable".upper(),
"kwargs":
dict(
Variable_Name=
"Zone Thermostat Heating Setpoint Temperature",
Reporting_Frequency="hourly",
save=True,
),
},
{
"ep_object":
"Output:Variable".upper(),
"kwargs":
dict(
Variable_Name=
"Zone Thermostat Cooling Setpoint Temperature",
Reporting_Frequency="hourly",
save=True,
),
},
]
# Runs EnergyPlus Simulation
_, idf = run_eplus(
idf_file,
weather_file,
output_directory=None,
ep_version=ep_version,
output_report=None,
prep_outputs=outputs,
design_day=False,
annual=True,
expandobjects=True,
return_idf=True,
)
# Makes sure idf vriable is an IDF
assert isinstance(idf, tr.idfclass.IDF)
def test_small_home_data(clean_config):
file = (get_eplus_dirs(settings.ep_version) / "ExampleFiles" /
"BasicsFiles" / "AdultEducationCenter.idf")
file = tr.copy_file(file)
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
return tr.run_eplus(file,
wf,
prep_outputs=True,
design_day=True,
expandobjects=True,
verbose="q")
def run_schedules_idf(config):
files = run_eplus(
idf_file,
weather_file="tests/input_data/CAN_PQ_Montreal.Intl.AP"
".716270_CWEC.epw",
annual=True,
readvars=True,
include=[
get_eplus_dirs(settings.ep_version) / "DataSets" / "TDV" /
"TDV_2008_kBtu_CTZ06.csv"
],
return_files=True,
)
cache_dir = files[1][0].dirname()
csv = next(iter(cache_dir.glob("*out.csv")))
yield csv
def energy_series(config, request):
from trnslator import ReportData
outputs = {
"ep_object": "Output:Variable".upper(),
"kwargs": {
"Key_Value": "OCCUPY-1",
"Variable_Name": "Schedule Value",
"Reporting_Frequency": "Hourly",
},
}
wf = "tests/input_data/CAN_PQ_Montreal.Intl.AP.716270_CWEC.epw"
sql = tr.run_eplus(
request.param,
weather_file=wf,
output_report="sql_file",
prep_outputs=[outputs],
annual=True,
expandobjects=True,
)
report = ReportData.from_sqlite(
sql,
table_name=("Heating:Electricity", "Heating:Gas",
"Heating:DistrictHeating"),
)
hl = EnergySeries.from_sqlite(
report,
name="Heating",
normalize=False,
sort_values=False,
concurrent_sort=False,
to_units="kWh",
)
yield hl
def test_write_to_b18(self, config, converttesteasy):
# Gets from fixture paths to files and IDF object to be used in test
(
idf,
idf_file,
weather_file,
window_lib,
trnsidf_exe,
template,
output_folder,
kwargs,
) = converttesteasy
# Runs EnergyPlus Simulation
res = run_eplus(
idf_file,
weather_file,
output_directory=None,
ep_version=None,
output_report="htm",
prep_outputs=True,
design_day=True,
)
# Copy IDF object, making sure we don't change/overwrite original IDF file
idf_2 = deepcopy(idf)
# Clean names of idf objects (e.g. 'MATERIAL')
log_clear_names = False
clear_name_idf_objects(idf_2, log_clear_names)
# Get old:new names equivalence
old_new_names = pd.read_csv(
os.path.join(
settings.data_folder,
Path(idf_file).basename().stripext() +
"_old_new_names_equivalence.csv",
)).to_dict()
# Get objects from IDF
(
buildingSurfs,
buildings,
constructions,
equipments,
fenestrationSurfs,
globGeomRules,
lights,
locations,
materialAirGap,
materialNoMass,
materials,
peoples,
versions,
zones,
zonelists,
) = get_idf_objects(idf_2)
# Read a b18 file and write lines in variable (b18_lines)
b18_path = "tests/input_data/trnsys/T3D_simple_2_zone.b18"
with open(b18_path) as b18_file:
b18_lines = b18_file.readlines()
# initialize variable
schedules_not_written = []
# Gets conditioning (heating and cooling) info from simulation results
heat_name = {}
for i in range(0, len(res["Zone Sensible Heating"])):
key = res["Zone Sensible Heating"].iloc[i, 0]
name = "HEAT_z" + str(res["Zone Sensible Heating"].iloc[i].name)
heat_name[key] = name
cool_name = {}
for i in range(0, len(res["Zone Sensible Cooling"])):
key = res["Zone Sensible Cooling"].iloc[i, 0]
name = "HEAT_z" + str(res["Zone Sensible Cooling"].iloc[i].name)
cool_name[key] = name
# Selects only 2 first zones
zones = zones[0:2]
peoples = peoples[0:2]
equipments = equipments[0:2]
lights = lights[0:2]
# Writes infiltration in b18_lines (b18 file)
infilt_to_b18(b18_lines, zones, res)
# Tests both cases, whether schedules are taken as inputs or written in b18_lines
for cond in [True, False]:
schedule_as_input = cond
gains_to_b18(
b18_lines,
zones,
zonelists,
peoples,
lights,
equipments,
schedules_not_written,
res,
old_new_names,
schedule_as_input,
)
# Writes conditioning (heating and cooling) in b18_lines (b18 file)
conditioning_to_b18(b18_lines, heat_name, cool_name, zones,
old_new_names)
# Asserts infiltration, internal gains and conditioning are written in b18_lines
assert "INFILTRATION Constant" + "\n" in b18_lines
assert " INFILTRATION = Constant" + "\n" in b18_lines
assert any(peoples[0].Name in mystring for mystring in b18_lines[200:])
assert any(lights[0].Name in mystring for mystring in b18_lines[200:])
assert any(equipments[0].Name in mystring
for mystring in b18_lines[200:])
assert any(
heat_name[old_new_names[zones[0].Name.upper()][0]] in mystring
for mystring in b18_lines[200:])
def test_write_gains_conditioning(self, config, converttest):
# Gets from fixture paths to files and IDF object to be used in test
(
idf,
idf_file,
weather_file,
window_lib,
trnsidf_exe,
template,
output_folder,
_,
) = converttest
# Gets EnergyPlus version
ep_version = settings.ep_version
# Adds Output variable in IDF
outputs = [
{
"ep_object":
"Output:Variable".upper(),
"kwargs":
dict(
Variable_Name=
"Zone Thermostat Heating Setpoint Temperature",
Reporting_Frequency="hourly",
save=True,
),
},
{
"ep_object":
"Output:Variable".upper(),
"kwargs":
dict(
Variable_Name=
"Zone Thermostat Cooling Setpoint Temperature",
Reporting_Frequency="hourly",
save=True,
),
},
]
# Run EnergyPlus Simulation
_, idf = run_eplus(
idf_file,
weather_file,
output_directory=None,
ep_version=ep_version,
output_report=None,
prep_outputs=outputs,
design_day=False,
annual=True,
expandobjects=True,
return_idf=True,
)
# Output reports
htm = idf.htm
sql = idf.sql
sql_file = idf.sql_file
# Check if cache exists
log_clear_names = False
# Clean names of idf objects (e.g. 'MATERIAL')
idf_2 = deepcopy(idf)
clear_name_idf_objects(idf_2, log_clear_names)
# Get old:new names equivalence
old_new_names = pd.read_csv(
os.path.join(
settings.data_folder,
Path(idf_file).basename().stripext() +
"_old_new_names_equivalence.csv",
)).to_dict()
# Read IDF_T3D template and write lines in variable
lines = io.TextIOWrapper(io.BytesIO(settings.template_BUI)).readlines()
# Get objects from IDF file
(
buildingSurfs,
buildings,
constructions,
equipments,
fenestrationSurfs,
globGeomRules,
lights,
locations,
materialAirGap,
materialNoMass,
materials,
peoples,
versions,
zones,
zonelists,
) = get_idf_objects(idf_2)
# Write GAINS (People, Lights, Equipment) from IDF to lines (T3D)
_write_gains(equipments, lights, lines, peoples, htm, old_new_names)
# Gets schedules from IDF
schedule_names, schedules = _get_schedules(idf_2)
# Adds ground temperature to schedules
adds_sch_ground(htm, schedule_names, schedules)
# Adds "sch_setpoint_ZONES" to schedules
df_heating_setpoint = ReportData.from_sqlite(
sql_file,
table_name="Zone Thermostat Heating Setpoint Temperature")
df_cooling_setpoint = ReportData.from_sqlite(
sql_file,
table_name="Zone Thermostat Cooling Setpoint Temperature")
# Heating
adds_sch_setpoint(zones, df_heating_setpoint, old_new_names,
schedule_names, schedules, "h")
# Cooling
adds_sch_setpoint(zones, df_cooling_setpoint, old_new_names,
schedule_names, schedules, "c")
# Writes conditioning in lines
schedule_as_input = True
heat_dict, cool_dict = _write_conditioning(htm, lines, schedules,
old_new_names,
schedule_as_input)
