def get_problem(self,
read_inputs: bool = False,
auto_scaling: bool = False) -> FASTOADProblem:
"""
Builds the OpenMDAO problem from current configuration.
:param read_inputs: if True, the created problem will already be fed
with variables from the input file
:param auto_scaling: if True, automatic scaling is performed for design
variables and constraints
:return: the problem instance
"""
if not self._conf_dict:
raise RuntimeError("read configuration file first")
problem = FASTOADProblem(self._build_model())
problem.input_file_path = self.input_file_path
problem.output_file_path = self.output_file_path
driver = self._conf_dict.get(KEY_DRIVER, "")
if driver:
problem.driver = _om_eval(driver)
if self.get_optimization_definition():
self._add_constraints(problem.model, auto_scaling)
self._add_objectives(problem.model)
if read_inputs:
problem.read_inputs()
self._add_design_vars(problem.model, auto_scaling)
return problem
def get_problem(self,
read_inputs: bool = False,
auto_scaling: bool = False) -> FASTOADProblem:
"""
Builds the OpenMDAO problem from current configuration.
:param read_inputs: if True, the created problem will already be fed
with variables from the input file
:param auto_scaling: if True, automatic scaling is performed for design
variables and constraints
:return: the problem instance
"""
if self._serializer.data is None:
raise RuntimeError("read configuration file first")
if read_inputs:
problem_with_no_inputs = self.get_problem(
auto_scaling=auto_scaling)
problem_with_no_inputs.setup()
input_ivc, unused_variables = self._get_problem_inputs(
problem_with_no_inputs)
else:
input_ivc = unused_variables = None
problem = FASTOADProblem(self._build_model(input_ivc))
problem.input_file_path = self.input_file_path
problem.output_file_path = self.output_file_path
problem.additional_variables = unused_variables
driver = self._serializer.data.get(KEY_DRIVER, "")
if driver:
problem.driver = _om_eval(driver)
if self.get_optimization_definition():
self._add_constraints(problem.model, auto_scaling)
self._add_objectives(problem.model)
if read_inputs:
self._add_design_vars(problem.model, auto_scaling)
if self._configuration_modifier:
self._configuration_modifier.modify(problem)
return problem