def test_adhmodel_fromnnetcdf():
# set test project name
project_name = 'SanDiego'
# set project directory
path = os.path.join(TESTDIR, 'test_files', project_name)
# instantiate empty adh model object
adhmod = AdhModel()
# read model files
adhmod.from_netcdf(path=path, project_name=project_name, crs=None)
class LoadModel(param.Parameterized):
"""
Parameterized class to load model information
Formatted for Panel and Pipeline Page
"""
load_sim_widget = param.ClassSelector(default=LoadSimulation(),
class_=LoadSimulation)
att_widget = param.ClassSelector(default=Attributes(), class_=Attributes)
projection = param.ClassSelector(default=Projection(), class_=Projection)
load_data = param.Action(lambda self: self.param.trigger('load_data'),
label='Load Data',
precedence=0.2)
label = param.String(default='Basic Input', precedence=-1)
def __init__(self, **params):
super(LoadModel, self).__init__(**params)
self.dat_files = []
self.model = None
self.adh_mod = AdhModel()
# output the adh_viz object
# @param.output(annot=AdhAnnotator)
@param.output(adh_mod=AdhModel)
def output(self):
return self._load_data()
@param.depends('load_sim_widget.load_netcdf',
'load_sim_widget.adh_root_filename',
'load_sim_widget.adh_directory',
watch=True)
def available_attributes(self):
# todo this needs a 'no files found' check
att_list = []
# enable the projections
self.projection.set_constant(value=False)
# if netcdf is selected
if self.load_sim_widget.load_netcdf:
filename = os.path.join(
self.load_sim_widget.adh_directory,
self.load_sim_widget.adh_root_filename + '.nc')
try:
# open the xarray dataset (does not load into memory)
ncdf = xr.open_dataset(filename)
except FileNotFoundError:
print('File Not Found: {}'.format(filename))
else:
# look for crs in the file
if 'crs' in ncdf.attrs.keys():
# set the projection in the widget
self.projection.set_crs(get_crs(ncdf))
# disable the widget
self.projection.set_constant(value=True)
with ncdf:
# enable and add all variables in the netcdf file
for var in ncdf.data_vars:
att_name = var.lower().replace(" ", "_")
# if the variable has results dimensions
if 'times' in ncdf[var].dims and 'nodes_ids' in ncdf[
var].dims:
if att_name == 'depth-averaged_velocity':
att_list.append('velocity')
elif att_name == 'error':
att_list.append('error_hydro')
else:
# add to the list
att_list.append(att_name)
# close the dataset
ncdf.close()
# otherwise read from available *.dat files
else:
# get the list of filenames # todo this isn't foolproof e.g. `SanDieg` finds files
file_names = glob.glob(
os.path.join(self.load_sim_widget.adh_directory,
self.load_sim_widget.adh_root_filename +
'_*.dat'))
# convert file suffixes to a list of widgets
att_list = [
self.att_widget.suffix_to_widget[get_variable_from_file_name(
x)] for x in file_names
]
# # dictionary for naming inconsistencies # todo add complexity for err_con in future
# label_to_widget = {'error': 'error_hydro',
# 'depth-averaged_velocity': 'velocity'}
#
# # loop over the inconsistencies
# for key in label_to_widget.keys():
# # if this is found in the list
# if key in att_list:
# # remove the key
# att_list.remove(key)
# # add back in the corrected value
# att_list.append(label_to_widget[key])
# adjust available attribute widgets based on available data
for p in self.att_widget.param:
# if this attribute wasn't in the list
pobj = self.att_widget.param[p]
if p in att_list:
# ensure the widget is enabled
pobj.constant = False
# set the widget value
setattr(self.att_widget, p, True)
elif p != 'name':
# ensure the widget is enabled
pobj.constant = False
# uncheck the attribute
setattr(self.att_widget, p, False)
# disable attribute
pobj.constant = True
@param.depends('load_data', watch=True)
def _load_data(self):
# if file is netcdf
if self.load_sim_widget.load_netcdf:
self.adh_mod.from_netcdf(
path=self.load_sim_widget.adh_directory,
project_name=self.load_sim_widget.adh_root_filename,
crs=self.projection.get_crs())
# request to load data from *dat files:
else:
# get a list of requested suffix strings
slist = self.att_widget.suffix_list(value=True)
# construct list of filenames
fnames = []
[
fnames.append(
os.path.join(
self.load_sim_widget.adh_directory,
self.load_sim_widget.adh_root_filename + '_' + x +
'.dat')) for x in slist
]
# read the requested files
self.adh_mod.from_ascii(
path=self.load_sim_widget.adh_directory,
project_name=self.load_sim_widget.adh_root_filename,
crs=self.projection.get_crs(),
file_names=fnames)
return self.adh_mod
# visualize the page
def panel(self):
self.available_attributes() # for the initial load
return pn.Column(
pn.Row(pn.Param(self.load_sim_widget, show_name=False),
pn.Param(self.att_widget, show_name=False),
pn.Param(self.projection, show_name=False),
name=self.label),
pn.Pane(self.param, parameters=['load_data'], show_name=False))
