def _evaluate(args):
"""Runs model according to provided problem file."""
try:
api.evaluate_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.evaluate_problem(args.conf_file, True)
else:
print("Computation not run.")
def test_api_eval_mission(cleanup):
results_folder_path = pth.join(RESULTS_FOLDER_PATH, "api_eval_mission")
configuration_file_path = pth.join(results_folder_path, "oad_process.yml")
api._PROBLEM_CONFIGURATOR = MissionConfigurator()
# 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 model ---------------------------------------------------------------
problem = api.evaluate_problem(configuration_file_path, True)
api._PROBLEM_CONFIGURATOR = None
# Check that weight-performances loop correctly converged
_check_weight_performance_loop(problem)
assert_allclose(problem["data:handling_qualities:static_margin"], 0.05, atol=1e-2)
assert_allclose(problem["data:geometry:wing:MAC:at25percent:x"], 17.149, atol=1e-2)
assert_allclose(problem["data:weight:aircraft:MTOW"], 74846, atol=1)
assert_allclose(problem["data:geometry:wing:area"], 126.581, atol=1e-2)
assert_allclose(problem["data:geometry:vertical_tail:area"], 27.535, atol=1e-2)
assert_allclose(problem["data:geometry:horizontal_tail:area"], 35.848, atol=1e-2)
assert_allclose(problem["data:mission:sizing:needed_block_fuel"], 19495, atol=1)
def test_api_eval_breguet(cleanup):
results_folder_path = pth.join(RESULTS_FOLDER_PATH, "api_eval_breguet")
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(DATA_FOLDER_PATH, "CeRAS01_notebooks.xml")
api.generate_inputs(configuration_file_path, source_xml, overwrite=True)
# Run model ---------------------------------------------------------------
problem = api.evaluate_problem(configuration_file_path, True)
# Check that weight-performances loop correctly converged
_check_weight_performance_loop(problem)
assert_allclose(problem["data:handling_qualities:static_margin"], 0.05, atol=1e-2)
assert_allclose(problem["data:geometry:wing:MAC:at25percent:x"], 17.149, atol=1e-2)
assert_allclose(problem["data:weight:aircraft:MTOW"], 74892, atol=1)
assert_allclose(problem["data:geometry:wing:area"], 126.732, atol=1e-2)
assert_allclose(problem["data:geometry:vertical_tail:area"], 27.565, atol=1e-2)
assert_allclose(problem["data:geometry:horizontal_tail:area"], 35.884, atol=1e-2)
assert_allclose(problem["data:mission:sizing:needed_block_fuel"], 19527, atol=1)