def load(
self,
problem_configuration: FASTOADProblemConfigurator,
):
"""
Loads the FAST-OAD problem and stores its data.
:param problem_configuration: the FASTOADProblem instance.
"""
self.problem_configuration = problem_configuration
if pth.isfile(self.problem_configuration.input_file_path):
input_variables = DataFile(
self.problem_configuration.input_file_path)
else:
# TODO: generate the input file by default ?
raise FastMissingFile(
"Please generate input file before using the optimization viewer"
)
if pth.isfile(self.problem_configuration.output_file_path):
output_variables = DataFile(
self.problem_configuration.output_file_path)
else:
problem = self.problem_configuration.get_problem()
problem.setup()
output_variables = VariableList.from_problem(problem)
optimization_variables = VariableList()
opt_def = problem_configuration.get_optimization_definition()
# Design Variables
if KEY_DESIGN_VARIABLES in opt_def:
for name, design_var in opt_def[KEY_DESIGN_VARIABLES].items():
metadata = {
"type": "design_var",
"initial_value": input_variables[name].value,
"lower": design_var.get("lower"),
"value": output_variables[name].value,
"upper": design_var.get("upper"),
"units": input_variables[name].units,
"desc": input_variables[name].description,
}
optimization_variables[name] = metadata
# Constraints
if KEY_CONSTRAINTS in opt_def:
for name, constr in opt_def[KEY_CONSTRAINTS].items():
metadata = {
"type": "constraint",
"initial_value": None,
"lower": constr.get("lower"),
"value": output_variables[name].value,
"upper": constr.get("upper"),
"units": output_variables[name].units,
"desc": output_variables[name].description,
}
optimization_variables[name] = metadata
# Objectives
if KEY_OBJECTIVE in opt_def:
for name in opt_def[KEY_OBJECTIVE]:
metadata = {
"type": "objective",
"initial_value": None,
"lower": None,
"value": output_variables[name].value,
"upper": None,
"units": output_variables[name].units,
"desc": output_variables[name].description,
}
optimization_variables[name] = metadata
self.load_variables(optimization_variables)
def load(
self,
problem_configuration: FASTOADProblemConfigurator,
):
"""
Loads the FAST-OAD problem and stores its data.
:param problem_configuration: the FASTOADProblem instance.
:param file_formatter: the formatter that defines file format. If not provided,
default format will be assumed.
"""
self.problem_configuration = problem_configuration
problem = self.problem_configuration.get_problem()
if pth.isfile(problem.input_file_path):
input_variables = VariableIO(problem.input_file_path).read()
else:
# TODO: generate the input file by default ?
raise FastMissingFile(
"Please generate input file before using the optimization viewer"
)
if pth.isfile(problem.output_file_path):
output_variables = VariableIO(problem.output_file_path).read()
else:
output_variables = VariableList.from_problem(problem)
optimization_variables = VariableList()
opt_def = problem_configuration.get_optimization_definition()
# Design Variables
if "design_var" in opt_def:
for name, design_var in opt_def["design_var"].items():
initial_value = input_variables[name].value
if "lower" in design_var:
lower = design_var["lower"]
else:
lower = None
value = output_variables[name].value
if "upper" in design_var:
upper = design_var["upper"]
else:
upper = None
units = input_variables[name].units
desc = input_variables[name].description
metadata = {
"type": "design_var",
"initial_value": initial_value,
"lower": lower,
"value": value,
"upper": upper,
"units": units,
"desc": desc,
}
optimization_variables[name] = metadata
# Constraints
if "constraint" in opt_def:
for name, constr in opt_def["constraint"].items():
if "lower" in constr:
lower = constr["lower"]
else:
lower = None
value = output_variables[name].value
if "upper" in constr:
upper = constr["upper"]
else:
upper = None
units = output_variables[name].units
desc = output_variables[name].description
metadata = {
"type": "constraint",
"initial_value": None,
"lower": lower,
"value": value,
"upper": upper,
"units": units,
"desc": desc,
}
optimization_variables[name] = metadata
# Objectives
if "objective" in opt_def:
for name, obj in opt_def["objective"].items():
value = output_variables[name].value
units = output_variables[name].units
desc = output_variables[name].description
metadata = {
"type": "objective",
"initial_value": None,
"lower": None,
"value": value,
"upper": None,
"units": units,
"desc": desc,
}
optimization_variables[name] = metadata
self.load_variables(optimization_variables)
