def setup_class(cls):
# initialize with data to avoid pulling multiple times
cls.sim_config = Config.make_sim_config(
identifier=[
"DYD_dummy_data",
], # test file
latitude=33.481136,
longitude=-112.078232,
start_utc=[
"2018-01-01 00:00:00",
],
end_utc=[
"2018-12-31 23:55:00",
],
min_sim_period="3D",
min_chunk_period="30D",
sim_step_size_seconds=300,
output_step_size_seconds=300,
)
cls.data_client = DataClient(
source=LocalSource(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
destination=LocalDestination(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
)
cls.data_client.sim_config = cls.sim_config.iloc[0]
cls.data_client.get_data()
def get_data_destination(self, data_client_params):
_dest = None
if data_client_params["is_local_destination"]:
_dest = LocalDestination(
local_cache=data_client_params["destination_local_cache"],
data_spec=data_client_params["destination_data_spec"],
)
return _dest
def setup_class(cls):
# initialize with data to avoid pulling multiple times
cls.sim_config = Config.make_sim_config(
identifier=[
os.environ.get("TEST_FLATFILES_IDENTIFIER_MISSING"), # missing
os.environ.get("TEST_FLATFILES_IDENTIFIER_FULL"), # full
"9999999", # file not found
],
latitude=33.481136,
longitude=-112.078232,
start_utc="2018-01-01 00:00:00",
end_utc="2018-12-31 00:00:00",
min_sim_period="7D",
min_chunk_period="30D",
sim_step_size_seconds=300,
output_step_size_seconds=300,
)
cls.data_clients = []
# set local_cache=None to test connection with GCS
cls.data_client = DataClient(
source=GCSFlatFilesSource(
gcp_project=os.environ.get("FLATFILE_GOOGLE_CLOUD_PROJECT"),
gcs_uri_base=os.environ.get("FLATFILES_GCS_URI_BASE"),
local_cache=None,
),
destination=LocalDestination(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=FlatFilesSpec(),
),
nrel_dev_api_key=os.environ.get("NREL_DEV_API_KEY"),
nrel_dev_email=os.environ.get("NREL_DEV_EMAIL"),
archive_tmy3_dir=os.environ.get("ARCHIVE_TMY3_DIR"),
archive_tmy3_meta=os.environ.get("ARCHIVE_TMY3_META"),
archive_tmy3_data_dir=os.environ.get("ARCHIVE_TMY3_DATA_DIR"),
ep_tmy3_cache_dir=os.environ.get("EP_TMY3_CACHE_DIR"),
simulation_epw_dir=os.environ.get("SIMULATION_EPW_DIR"),
)
for _idx, _sim_config in cls.sim_config.iterrows():
dc = copy.deepcopy(cls.data_client)
dc.sim_config = _sim_config
if _sim_config["identifier"] in [
"9999999",
]:
with pytest.raises(ValueError):
dc.get_data()
else:
dc.get_data()
cls.data_clients.append(dc)
def test_make_fmu(self, test_sim_config, building_model):
"""test that make_fmu produces fmu file"""
dc = DataClient(
source=LocalSource(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
destination=LocalDestination(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
nrel_dev_api_key=os.environ.get("NREL_DEV_API_KEY"),
nrel_dev_email=os.environ.get("NREL_DEV_EMAIL"),
archive_tmy3_meta=os.environ.get("ARCHIVE_TMY3_META"),
archive_tmy3_data_dir=os.environ.get("ARCHIVE_TMY3_DATA_DIR"),
ep_tmy3_cache_dir=os.environ.get("EP_TMY3_CACHE_DIR"),
simulation_epw_dir=os.environ.get("SIMULATION_EPW_DIR"),
)
dc.sim_config = test_sim_config
dc.get_data()
fmu = building_model.create_model_fmu(
sim_config=test_sim_config,
weather_channel=dc.weather,
datetime_channel=dc.datetime,
)
assert os.path.exists(fmu)
# @pytest.mark.usefixtures("building_model")
# def test_fmu_compliance(self, building_model):
"""test that fmu file is compliant with FMI."""
output_path = os.path.join(os.environ.get("OUTPUT_DIR"),
"compliance_check_output.csv")
# use `bash expect` to run non-interactive
# Note: if this test fails check ./Output_EPExport_Slave/Furnace_prep.err
cmd = (
"expect 'Press enter to continue.' {{ send '\r' }} |"
f' {os.environ.get("EXT_DIR")}/FMUComplianceChecker/fmuCheck.linux64'
f" -h {self.step_size}"
" -s 172800"
f" -o {output_path} {building_model.fmu_path}")
logger.info("FMU compliance checker command:")
logger.info(cmd)
# shlex causes FMUComplianceChecker to run with options, use cmd string
out = subprocess.run(cmd,
shell=True,
capture_output=False,
text=True,
input="\n")
assert out.returncode == 0
def setup_class(cls):
# initialize with data to avoid pulling multiple times
cls.sim_config = Config.make_sim_config(
identifier=[
"d310f1c1f600c374d8975c753f7c0fb8de9c96b1",
"8c00c9bb17bfcca53809cb1b2d033a448bc017df", # has full data periods
"6773291da5427ae87d34bb75022ee54ee3b1fc17", # file not found
],
latitude=33.481136,
longitude=-112.078232,
start_utc=[
"2018-01-01 00:00:00",
"2018-01-01 00:00:00",
"2018-01-01 00:00:00",
],
end_utc=[
"2018-12-31 23:55:00",
"2018-12-31 23:55:00",
"2018-12-31 23:55:00",
],
min_sim_period="7D",
min_chunk_period="30D",
sim_step_size_seconds=300,
output_step_size_seconds=300,
)
cls.data_clients = []
# set local_cache=None to avoid caching locally and always testing connection with GCS
cls.data_client = DataClient(
source=GCSDYDSource(
gcp_project=os.environ.get("DYD_GOOGLE_CLOUD_PROJECT"),
gcs_uri_base=os.environ.get("DYD_GCS_URI_BASE"),
local_cache=None,
),
destination=LocalDestination(data_spec=DonateYourDataSpec(), ),
)
for _idx, _sim_config in cls.sim_config.iterrows():
dc = copy.deepcopy(cls.data_client)
dc.sim_config = _sim_config
if _sim_config["identifier"] in [
"6773291da5427ae87d34bb75022ee54ee3b1fc17",
]:
with pytest.raises(ValueError):
dc.get_data()
else:
dc.get_data()
cls.data_clients.append(dc)
def setup_class(cls):
# initialize with data to avoid pulling multiple times
cls.sim_config = Config.make_sim_config(
identifier=[
"DYD_dummy_data",
], # test file
latitude=33.481136,
longitude=-112.078232,
start_utc=[
"2018-01-01 00:00:00",
],
end_utc=[
"2018-12-31 23:55:00",
],
min_sim_period="3D",
min_chunk_period="30D",
sim_step_size_seconds=300,
output_step_size_seconds=300,
)
cls.data_clients = []
cls.data_client = DataClient(
source=LocalSource(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
destination=LocalDestination(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
nrel_dev_api_key=os.environ.get("NREL_DEV_API_KEY"),
nrel_dev_email=os.environ.get("NREL_DEV_EMAIL"),
archive_tmy3_dir=os.environ.get("ARCHIVE_TMY3_DIR"),
archive_tmy3_meta=os.environ.get("ARCHIVE_TMY3_META"),
archive_tmy3_data_dir=os.environ.get("ARCHIVE_TMY3_DATA_DIR"),
ep_tmy3_cache_dir=os.environ.get("EP_TMY3_CACHE_DIR"),
simulation_epw_dir=os.environ.get("SIMULATION_EPW_DIR"),
)
for _idx, _sim_config in cls.sim_config.iterrows():
dc = copy.deepcopy(cls.data_client)
dc.sim_config = _sim_config
dc.get_data()
cls.data_clients.append(dc)
def setup_class(cls):
# initialize with data to avoid pulling multiple times
cls.sim_config = Config.make_sim_config(
identifier=["9958f46d13419344ec0c21fb60f9b0b3990ac0ef"],
latitude=33.481136,
longitude=-112.078232,
start_utc=[
"2018-01-01 00:00:00",
],
end_utc=[
"2018-12-31 23:55:00",
],
min_sim_period="7D",
min_chunk_period="30D",
sim_step_size_seconds=300,
output_step_size_seconds=300,
)
cls.data_clients = []
cls.data_client = DataClient(
source=GCSDYDSource(
gcp_project=os.environ.get("DYD_GOOGLE_CLOUD_PROJECT"),
gcs_uri_base=os.environ.get("DYD_GCS_URI_BASE"),
),
destination=LocalDestination(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
nrel_dev_api_key=os.environ.get("NREL_DEV_API_KEY"),
nrel_dev_email=os.environ.get("NREL_DEV_EMAIL"),
archive_tmy3_dir=os.environ.get("ARCHIVE_TMY3_DIR"),
archive_tmy3_meta=os.environ.get("ARCHIVE_TMY3_META"),
archive_tmy3_data_dir=os.environ.get("ARCHIVE_TMY3_DATA_DIR"),
ep_tmy3_cache_dir=os.environ.get("EP_TMY3_CACHE_DIR"),
simulation_epw_dir=os.environ.get("SIMULATION_EPW_DIR"),
)
for _idx, _sim_config in cls.sim_config.iterrows():
dc = copy.deepcopy(cls.data_client)
dc.sim_config = _sim_config
dc.get_data()
cls.data_clients.append(dc)
def setup_class(cls):
# initialize with data to avoid pulling multiple times
cls.sim_config = Config.make_sim_config(
identifier=[
"d310f1c1f600c374d8975c753f7c0fb8de9c96b1",
"8c00c9bb17bfcca53809cb1b2d033a448bc017df", # has full data periods
"6773291da5427ae87d34bb75022ee54ee3b1fc17", # file not found
],
latitude=33.481136,
longitude=-112.078232,
start_utc=[
"2018-01-01 00:00:00",
"2018-01-01 00:00:00",
"2018-01-01 00:00:00",
],
end_utc=[
"2018-12-31 23:55:00",
"2018-12-31 23:55:00",
"2018-12-31 23:55:00",
],
min_sim_period="7D",
min_chunk_period="30D",
sim_step_size_seconds=300,
output_step_size_seconds=300,
)
cls.data_clients = []
# set local_cache=None to test connection with GCS
cls.data_client = DataClient(
source=GCSDYDSource(
gcp_project=os.environ.get("DYD_GOOGLE_CLOUD_PROJECT"),
gcs_uri_base=os.environ.get("DYD_GCS_URI_BASE"),
local_cache=None,
),
destination=LocalDestination(
local_cache=os.environ.get("LOCAL_CACHE_DIR"),
data_spec=DonateYourDataSpec(),
),
nrel_dev_api_key=os.environ.get("NREL_DEV_API_KEY"),
nrel_dev_email=os.environ.get("NREL_DEV_EMAIL"),
archive_tmy3_dir=os.environ.get("ARCHIVE_TMY3_DIR"),
archive_tmy3_meta=os.environ.get("ARCHIVE_TMY3_META"),
archive_tmy3_data_dir=os.environ.get("ARCHIVE_TMY3_DATA_DIR"),
ep_tmy3_cache_dir=os.environ.get("EP_TMY3_CACHE_DIR"),
simulation_epw_dir=os.environ.get("SIMULATION_EPW_DIR"),
)
for _idx, _sim_config in cls.sim_config.iterrows():
dc = copy.deepcopy(cls.data_client)
dc.sim_config = _sim_config
if _sim_config["identifier"] in [
"6773291da5427ae87d34bb75022ee54ee3b1fc17",
]:
with pytest.raises(ValueError):
dc.get_data()
else:
dc.get_data()
cls.data_clients.append(dc)