def d3d(tmpdir):
# initialize a model
rpath = str(tmpdir) + "/d3d/"
case.update({"rpath": rpath + "/20181001.00/"}) # use tmpdir for running the model
b = pyposeidon.model(**case)
b.execute()
# creating a time sequence of the runs
start_date = pd.to_datetime("2018-10-1 0:0:0")
end_date = pd.to_datetime("2018-10-2 0:0:0")
date_list = pd.date_range(start_date, end_date, freq="12H")
# creating a sequence of folder to store the runs. In this case we name them after the date attribute.
# NOTE that the first folder is the fisrt run already perfomed!!
rpaths = [rpath + datetime.datetime.strftime(x, "%Y%m%d.%H") + "/" for x in date_list]
# set meteo files
meteo = []
for date in date_list:
end_date = pd.to_datetime(date) + pd.to_timedelta("12H")
end_date = end_date.strftime(format="%Y-%m-%d %H:%M:%S")
dr = pd.date_range(date, end_date, freq="12H")
names = ["uvp_" + datetime.datetime.strftime(x, "%Y%m%d%H") + ".grib" for x in dr]
dur = [(DATA_DIR / name).as_posix() for name in names]
meteo.append(dur)
# set cast
for l in range(len(rpaths) - 1):
h = cast.cast(
solver="d3d", model=b, ppath=rpaths[l], cpath=rpaths[l + 1], meteo=meteo[l + 1], date=date_list[l + 1]
)
h.set(execute=True) # execute
# Run check case - Total duration
check.update({"rpath": rpath + "check/"}) # use tmpdir for running the model
c = pyposeidon.model(**check)
c.execute()
# COMPARE
output = data.data(folders=rpaths, solver="d3d")
total = data.data(folders=[rpath + "check/"], solver="d3d")
test = True
rb = []
for var in total.Dataset.data_vars:
if not total.Dataset[var].equals(output.Dataset[var]):
rb.append(var)
if np.abs(total.Dataset[var].values - output.Dataset[var].values).max() > 1.0e-6:
test = False
print(rb)
return test
def d3d(tmpdir,dic):
#initialize a model
rpath = str(tmpdir)+'/'
dic.update({'rpath':rpath}) # use tmpdir for running the model
b = pyposeidon.model(**dic)
try:
b.execute()
out = data.data(**dic)
a = pyposeidon.read_model(rpath+'d3d_model.json') # read model
a.execute()
out = data.data(**dic)
return True
except:
return False
def get_data(self, **kwargs):
dic = self.__dict__
dic.update(kwargs)
self.data = data(**dic)
def schism(tmpdir):
#initialize a model
rpath = str(tmpdir) + '/schism/'
case.update({'rpath':
rpath + '20181001.00/'}) # use tmpdir for running the model
b = pyposeidon.model(**case)
b.execute()
#creating a time sequence of the runs
start_date = pd.to_datetime('2018-10-1 0:0:0')
end_date = pd.to_datetime('2018-10-2 0:0:0')
date_list = pd.date_range(start_date, end_date, freq='12H')
#creating a sequence of folder to store the runs. In this case we name them after the date attribute.
#NOTE that the first folder is the fisrt run already perfomed!!
rpaths = [
rpath + datetime.datetime.strftime(x, '%Y%m%d.%H') + '/'
for x in date_list
]
#creating a sequence of folder from which we read the meteo.
meteo = []
for date in date_list:
end_date = pd.to_datetime(date) + pd.to_timedelta('12H')
end_date = end_date.strftime(format='%Y-%m-%d %H:%M:%S')
dr = pd.date_range(date, end_date, freq='12H')
names = [
'uvp_' + datetime.datetime.strftime(x, '%Y%m%d%H') + '.grib'
for x in dr
]
dur = [(DATA_DIR / name).as_posix() for name in names]
meteo.append(dur)
#set cast
for l in range(len(rpaths) - 1):
h = cast.cast(solver='schism',
model=b,
ppath=rpaths[l],
cpath=rpaths[l + 1],
meteo=meteo[l + 1],
date=date_list[l + 1])
h.set(execute=True) # execute
# Run check case - Total duration
check.update({'rpath':
rpath + 'check/'}) # use tmpdir for running the model
c = pyposeidon.model(**check)
c.execute()
# COMPARE
output = data.data(folders=rpaths, solver='schism')
total = data.data(folders=[rpath + 'check/'], solver='schism')
rb = []
for var in total.Dataset.data_vars:
if not total.Dataset[var].equals(output.Dataset[var]):
rb.append(var)
print(rb)
# flag = True TODO
# for var in rb:
# flag = False
# mdif = np.abs(total.results.Dataset[var].values - output.results.Dataset[var].values).max()
# if mdif < 1.e-14 :
# flag = True
# print(mdif)
if (rb == ['zcor']) or rb == []:
return True
else:
return False
def schism(tmpdir):
# initialize a model
rpath = str(tmpdir) + "/schism/"
case.update({"rpath":
rpath + "20181001.00/"}) # use tmpdir for running the model
b = pyposeidon.model(**case)
b.execute()
# creating a time sequence of the runs
start_date = pd.to_datetime("2018-10-1 0:0:0")
end_date = pd.to_datetime("2018-10-2 0:0:0")
date_list = pd.date_range(start_date, end_date, freq="12H")
# creating a sequence of folder to store the runs. In this case we name them after the date attribute.
# NOTE that the first folder is the fisrt run already perfomed!!
rpaths = [
rpath + datetime.datetime.strftime(x, "%Y%m%d.%H") + "/"
for x in date_list
]
# creating a sequence of folder from which we read the meteo.
meteo = []
for date in date_list:
prev_date = pd.to_datetime(date) - pd.to_timedelta("12H")
prev_date = prev_date.strftime(format="%Y-%m-%d %H:%M:%S")
dr = pd.date_range(prev_date, date, freq="12H")
names = [
"uvp_" + datetime.datetime.strftime(x, "%Y%m%d%H") + ".grib"
for x in dr
]
dur = [(DATA_DIR / name).as_posix() for name in names]
meteo.append(dur)
# set cast
for l in range(len(rpaths) - 1):
h = cast.cast(solver="schism",
model=b,
ppath=rpaths[l],
cpath=rpaths[l + 1],
meteo=meteo[l + 1],
date=date_list[l + 1])
h.set(execute=True) # execute
# Run check case - Total duration
check.update({"rpath":
rpath + "check/"}) # use tmpdir for running the model
# Combine meteo appropriately
m1 = pm.meteo(meteo_source=METEO_FILES_2[0], meteo_engine="cfgrib")
m2 = pm.meteo(meteo_source=METEO_FILES_2[1], meteo_engine="cfgrib")
m3 = pm.meteo(meteo_source=METEO_FILES_2[2], meteo_engine="cfgrib")
m4 = pm.meteo(meteo_source=METEO_FILES_2[3], meteo_engine="cfgrib")
# extract correct chunk
w1 = m1.Dataset.isel(time=slice(0, 13))
w2 = m2.Dataset.isel(time=slice(
1, 13)) # note that we keep the 12 hour from the previous file
w3 = m3.Dataset.isel(time=slice(1, 13))
w4 = m4.Dataset.isel(time=slice(1, 13))
# combine
meteo = xr.combine_by_coords([w1, w2, w3, w4], combine_attrs="override")
# saving
check.update({"meteo_source": meteo})
c = pyposeidon.model(**check)
c.execute()
# COMPARE
output = data.data(folders=rpaths, solver="schism")
total = data.data(folders=[rpath + "check/"], solver="schism")
r = output.Dataset.isel(time=slice(0, 36))
rb = []
for var in total.Dataset.data_vars:
if not total.Dataset[var].equals(r[var]):
rb.append(var)
print(rb)
# flag = True TODO
# for var in rb:
# flag = False
# mdif = np.abs(total.results.Dataset[var].values - output.results.Dataset[var].values).max()
# if mdif < 1.e-14 :
# flag = True
# print(mdif)
if (rb == ["zcor"]) or rb == []:
return True
else:
return False
