def addToCanvas(self, event):
end, siteobject, start, variable_code = self._preparationToGetValues()
var_codes_temp = self.get_all_selected_variable_site_codes()
if len(var_codes_temp) > 1:
elog.warning(
"We do not support adding more then one item to the canvas at this point. We added "
+ var_codes_temp[0])
if variable_code is None:
# no table row selected
return
args = dict(
model_type='wof',
wsdl=self.parent.api.wsdl,
site=siteobject.site_code,
variable=variable_code,
start=start,
end=end,
network=siteobject.network,
)
engine.addModel(**args)
self.Close()
def add_netcdf_model(url, time_dimension, x_dimension, y_dimension,
time_unit, start_time_as_string):
args = dict(ncpath=url,
tdim=time_dimension,
xdim=x_dimension,
ydim=y_dimension,
tunit=time_unit,
starttime=start_time_as_string,
model_type=wrappers.Types.NETCDF)
engine.addModel(**args)
def add_netcdf_model(url, time_dimension, x_dimension, y_dimension, time_unit, start_time_as_string):
args = dict(ncpath=url,
tdim=time_dimension,
xdim=x_dimension,
ydim=y_dimension,
tunit=time_unit,
starttime=start_time_as_string,
model_type=wrappers.Types.NETCDF
)
engine.addModel(**args)
def load_simulation(self, simfile):
params = model_utils.parse_json(simfile)
models = params['models'] if 'models' in params else []
links = params['links'] if 'links' in params else []
datamodels = params['datamodels'] if 'datamodels' in params else []
self.failed_models = 0
total = len(models) + len(datamodels) + len(
self.models) + self.failed_models
# start thread that will load links when once all models have been loaded
waitingThread = threading.Thread(target=self.wait_for_model_loading,
args=(total, links),
name="load_links")
self.logicCanvasThreads[waitingThread.name] = waitingThread
waitingThread.start()
# loop through all of the models and load each one individually
for model in models:
if self.is_model_netcdf(model):
self.add_netcdf_model(model["params"]["ncpath"],
model["params"]["tdim"],
model["params"]["xdim"],
model["params"]["ydim"],
model["params"]["tunit"],
model["params"]["starttime"])
continue
mdl = model['path']
args = model_utils.parse_json(mdl)
inputs = model.pop('model_inputs')
args.update(model)
args.update(inputs)
# save these coordinates for drawing once the model is loaded
self.set_model_coordinate(model['id'],
x=float(model['xcoordinate']),
y=float(model['ycoordinate']))
# load the model in the engine
engine.addModel(**args)
# draw the model
wx.CallAfter(self.FloatCanvas.Draw)
def addToCanvas(self, event):
end, siteobject, start, variable_code = self._preparationToGetValues()
var_codes_temp = self.get_all_selected_variable_site_codes()
if len(var_codes_temp) > 1:
elog.warning("We do not support adding more then one item to the canvas at this point. We added " + var_codes_temp[0])
if variable_code is None:
# no table row selected
return
args = dict(model_type='wof',
wsdl=self.parent.api.wsdl,
site=siteobject.site_code,
variable=variable_code,
start=start,
end=end,
network=siteobject.network,
)
engine.addModel(**args)
self.Close()
def load_simulation(self, simfile):
params = model_utils.parse_json(simfile)
models = params['models'] if 'models' in params else []
links = params['links'] if 'links' in params else []
datamodels = params['datamodels'] if 'datamodels' in params else []
self.failed_models = 0
total = len(models) + len(datamodels) + len(self.models) + self.failed_models
# start thread that will load links when once all models have been loaded
waitingThread = threading.Thread(target=self.wait_for_model_loading, args=(total, links), name="load_links")
self.logicCanvasThreads[waitingThread.name] = waitingThread
waitingThread.start()
# loop through all of the models and load each one individually
for model in models:
if self.is_model_netcdf(model):
self.add_netcdf_model(model["params"]["ncpath"], model["params"]["tdim"],
model["params"]["xdim"], model["params"]["ydim"],
model["params"]["tunit"], model["params"]["starttime"])
continue
mdl = model['path']
args = model_utils.parse_json(mdl)
inputs = model.pop('model_inputs')
args.update(model)
args.update(inputs)
# save these coordinates for drawing once the model is loaded
self.set_model_coordinate(model['id'], x=float(model['xcoordinate']), y=float(model['ycoordinate']))
# load the model in the engine
engine.addModel(**args)
# draw the model
wx.CallAfter(self.FloatCanvas.Draw)
def addModel(self, **params):
"""
Adds a model to the canvas using x, y. This is useful if adding by file click/dialog
:param filename: filename / path
:return: None
"""
# generate an ID for this model
uid = uuid.uuid4().hex
x, y = self.get_random_canvas_coordinate()
# save these coordinates for drawing once the model is loaded
self.set_model_coordinate(uid, x=x, y=y)
# if ext == '.mdl':
sPrint('ADDING MODEL', MessageType.DEBUG)
# add the model to the base level of the params dict
params['type'] = 'MDL'
# load the model within the engine process
engine.addModel(id=uid, **params)
return uid
def addModel(self, **params):
"""
Adds a model to the canvas using x, y. This is useful if adding by file click/dialog
:param filename: filename / path
:return: None
"""
# generate an ID for this model
uid = uuid.uuid4().hex
x, y = self.get_random_canvas_coordinate()
# save these coordinates for drawing once the model is loaded
self.set_model_coordinate(uid, x=x, y=y)
# if ext == '.mdl':
sPrint('ADDING MODEL', MessageType.DEBUG)
# add the model to the base level of the params dict
params['type'] = 'MDL'
# load the model within the engine process
engine.addModel(id=uid, **params)
return uid
