def get_sm_vars(tixi):
"""Retrieves variable in the case of a surrogate.
In the case of a surrogate model being used, the entries are retrieved from
the dataframe that is saved in the SM file.
Args:
tixi (Tixi3 handler): Tixi handle of the CPACS file.
"""
Model = load_surrogate(tixi)
df = Model.df.rename(columns={"Unnamed: 0": "Name"})
df.set_index("Name", inplace=True)
for name in df.index:
name = change_var_name(name)
if name not in var["Name"] and df.loc[name]["setcmd"] == "-":
var["Name"].append(name)
var["type"].append(df.loc[name]["type"])
xpath = df.loc[name]["getcmd"]
var["xpath"].append(xpath)
value = str(tixi.getDoubleElement(xpath))
var["init"].append(value)
add_bounds(value, var)
else:
log.warning("Variable already exists")
log.info(name + " will not be added to the variable file")
def get_sm_vars(tixi):
"""Retrieves variable in the case of a surrogate.
In the case of a surrogate model being used, the entries are retrieved from
the dataframe that is saved in the SM file.
Args:
tixi (Tixi3 handler): Tixi handle of the CPACS file.
"""
Model = smu.load_surrogate(tixi)
df = Model.df.rename(columns={'Unnamed: 0':'Name'})
df.set_index('Name', inplace=True)
for name in df.index:
name = tls.change_var_name(name)
if name not in var['Name'] and df.loc[name]['setcmd'] == '-':
var['Name'].append(name)
var['type'].append(df.loc[name]['type'])
xpath = df.loc[name]['getcmd']
var['xpath'].append(xpath)
value = str(tixi.getDoubleElement(xpath))
var['init'].append(value)
tls.add_bounds(value, var)
else:
log.warning('Variable already exists')
log.info(name+' will not be added to the variable file')
def setup(self):
"""Setup inputs and outputs"""
module = [m for m in Rt.modules if m.name == self.module_name][0]
# Take CPACS file from the optimisation
cpacs_path = str(module.cpacs_in)
tixi = open_tixi(cpacs_path)
self.Model = load_surrogate(tixi)
tixi.save(cpacs_path)
df = self.Model.df
df.set_index("Name", inplace=True)
for name in df.index:
if df.loc[name, "type"] == "obj":
self.add_output(name)
elif df.loc[name, "type"] == "des":
self.add_input(name)
self.xd = df.loc[[name for name in df.index if df.loc[name, "type"] == "des"]]
self.yd = df.loc[[name for name in df.index if df.loc[name, "type"] == "obj"]]
def setup(self):
"""Setup inputs and outputs"""
# Take CPACS file from the optimisation
cpacs_path = mif.get_toolinput_file_path('SMUse')
tixi = cpsf.open_tixi(cpacs_path)
self.Model = smu.load_surrogate(tixi)
cpsf.close_tixi(tixi, cpacs_path)
df = self.Model.df
df.set_index('Name', inplace=True)
for name in df.index:
if df.loc[name, 'type'] == 'obj':
self.add_output(name)
elif df.loc[name, 'type'] == 'des':
self.add_input(name)
self.xd = df.loc[[
name for name in df.index if df.loc[name, 'type'] == 'des'
]]
self.yd = df.loc[[
name for name in df.index if df.loc[name, 'type'] == 'obj'
]]