def test_optimization_viewer_save(cleanup):
"""
Basic tests for testing the OptimizationViewer save method.
"""
filename = pth.join(DATA_FOLDER_PATH, "valid_sellar.toml")
new_filename = pth.join(RESULTS_FOLDER_PATH, "new_valid_sellar.toml")
copyfile(filename, new_filename)
# Loading new file
problem_configuration = FASTOADProblemConfigurator(filename)
optim_viewer = OptimizationViewer()
api.generate_inputs(new_filename,
pth.join(DATA_FOLDER_PATH, "inputs.xml"),
overwrite=True)
# Load new file
optim_viewer.load(problem_configuration)
optim_viewer.save()
optim_viewer.load(problem_configuration)
# We run the problem
api.optimize_problem(new_filename, overwrite=True)
optim_viewer.load(problem_configuration)
optim_viewer.save()
optim_viewer.load(problem_configuration)
def test_optimization_viewer_load(cleanup):
"""
Basic tests for testing the OptimizationViewer load method.
"""
filename = pth.join(DATA_FOLDER_PATH, "valid_sellar.toml")
# The problem has not yet been run
problem_configuration = FASTOADProblemConfigurator(filename)
optim_viewer = OptimizationViewer()
# No input file exists
with pytest.raises(FastMissingFile):
optim_viewer.load(problem_configuration)
api.generate_inputs(filename,
pth.join(DATA_FOLDER_PATH, "inputs.xml"),
overwrite=True)
# Input file exist
optim_viewer.load(problem_configuration)
# We run the problem
api.optimize_problem(filename, overwrite=True)
# Load the results
optim_viewer.load(problem_configuration)
def _optimize(args):
"""Runs driver according to provided problem file."""
try:
api.optimize_problem(args.conf_file, args.force)
except FastFileExistsError as exc:
if _query_yes_no(
'Output file "%s" already exists. Do you want to overwrite it?'
% exc.args[1]):
api.optimize_problem(args.conf_file, True)
else:
print("Computation not run.")
def test_api_optim(cleanup):
results_folder_path = pth.join(RESULTS_FOLDER_PATH, "api_optim")
configuration_file_path = pth.join(results_folder_path, "oad_process.yml")
# Generation of configuration file ----------------------------------------
api.generate_configuration_file(configuration_file_path, True)
# Generation of inputs ----------------------------------------------------
# We get the same inputs as in tutorial notebook
source_xml = pth.join(
root_folder_path,
"src",
"fastoad",
"notebooks",
"01_tutorial",
"data",
"CeRAS01_baseline.xml",
)
api.generate_inputs(configuration_file_path, source_xml, overwrite=True)
# Run optim ---------------------------------------------------------------
problem = api.optimize_problem(configuration_file_path, True)
assert not problem.optim_failed
# Check that weight-performances loop correctly converged
_check_weight_performance_loop(problem)
# Design Variable
assert_allclose(problem["data:geometry:wing:aspect_ratio"], 14.52, atol=1e-2)
# Constraint
assert_allclose(problem["data:geometry:wing:span"], 44.88, atol=1e-2)
# Objective
assert_allclose(problem["data:mission:sizing:needed_block_fuel"], 18900.0, atol=1)