def create_xml(cpacs_out, NAME):
""" Function that creates a copy of the cpacs file, inside the ToolInput
folder, into the ToolOutput folder
INPUT
(char) cpacs_out --Arg.: Relative location of the xml file in the
ToolOutput folder.
(char) NAME --Arg.: Aircraft Name.
OUTPUT
(char) out_xml --Out.: Relative location of the xml file in the
ToolOutut folder.
"""
root = ET.Element('cpacs')
head = ET.SubElement(root, 'header')
cp1 = ET.SubElement(head, 'cpacsVersion').text = '3.0'
name = ET.SubElement(head, 'name').text = NAME
ups = ET.SubElement(head, 'updates')
up = ET.SubElement(ups, 'update')
cp2 = ET.SubElement(up, 'cpacsVersion').text = '3.0'
veh = ET.SubElement(root, 'vehicles')
air = ET.SubElement(veh, 'aircraft')
mod = ET.SubElement(air, 'model')
tree = ET.ElementTree(root)
tree.write(cpacs_out)
tixi = cpf.open_tixi(cpacs_out)
tixi.saveDocument(cpacs_out)
cpf.close_tixi(tixi, cpacs_out)
return (cpacs_out)
def write_outputs(y, outputs):
"""Write outputs to cpacs.
Write the predicted output of the model to the CPACS file.
Args:
y (DataFrame): Contains the outputs, locations.
outputs (np.array): Values of the outputs.
Returns:
None.
"""
tixi = cpsf.open_tixi(cpacs_path)
tigl = cpsf.open_tigl(tixi)
aircraft = cpud.get_aircraft(tigl)
wings = aircraft.get_wings()
fuselage = aircraft.get_fuselages().get_fuselage(1)
y.fillna('-', inplace=True)
for i, name in enumerate(y.index):
if y.loc[name, 'setcmd'] != '-':
exec('{} = {}'.format(name, outputs[0][i]))
eval(y.loc[name, 'setcmd'])
elif y.loc[name, 'getcmd'] != '-':
xpath = y.loc[name, 'getcmd']
cpsf.create_branch(tixi, xpath)
tixi.updateDoubleElement(xpath, outputs[0][i], '%g')
tigl.close()
cpsf.close_tixi(tixi, cpacs_path_out)
def get_default_df(module_list):
tixi = cpsf.open_tixi(CPACS_OPTIM_PATH)
for mod_name, specs in mif.get_all_module_specs().items():
if specs and mod_name in module_list:
get_variables(tixi, specs, mod_name)
cpsf.close_tixi(tixi, CPACS_OPTIM_PATH)
# Add the default values for the variables
df = pd.DataFrame(columns=['Name'], data=var['Name'])
df['type'] = var['type']
df['initial value'] = var['init']
df['min'] = var['min']
df['max'] = var['max']
df['getpath'] = var['xpath']
# Add geometry parameters as design variables (only design type for the moment)
tixi = cpsf.open_tixi(CPACS_OPTIM_PATH)
geom_var = dct.init_design_var_dict(tixi)
for key, (var_name, [init_value], lower_bound, upper_bound, setcmd,
getcmd) in geom_var.items():
new_row = {
'Name': var_name,
'type': 'des',
'initial value': init_value,
'min': lower_bound,
'max': upper_bound,
'getpath': getcmd,
'setpath': setcmd
}
df = df.append(new_row, ignore_index=True)
return df
def get_user_inputs(self, cpacs_path):
"""Take user inputs from the GUI."""
tixi = cpsf.open_tixi(CPACS_OPTIM_PATH)
# Problem setup
objectives = cpsf.get_value_or_default(tixi, OPTIM_XPATH + 'objective',
'cl')
self.objective = objectives.split(';')
self.minmax = cpsf.get_value_or_default(tixi, OPTIM_XPATH + 'minmax',
'max')
# Global parameters
self.driver = cpsf.get_value_or_default(
tixi, OPTIM_XPATH + 'parameters/driver', 'COBYLA')
self.max_iter = int(
cpsf.get_value_or_default(tixi, OPTIM_XPATH + 'iterationNB', 200))
self.tol = float(
cpsf.get_value_or_default(tixi, OPTIM_XPATH + 'tolerance', 1e-3))
self.save_iter = int(
cpsf.get_value_or_default(tixi, OPTIM_XPATH + 'saving/perIter', 1))
# Specific DoE parameters
self.doedriver = cpsf.get_value_or_default(
tixi, OPTIM_XPATH + 'parameters/DoE/driver', 'uniform')
self.samplesnb = int(
cpsf.get_value_or_default(tixi,
OPTIM_XPATH + 'parameters/DoE/sampleNB',
3))
# User specified configuration file path
self.user_config = cpsf.get_value_or_default(
tixi, OPTIM_XPATH + 'Config/filepath',
'../Optimisation/Default_config.csv')
cpsf.close_tixi(tixi, CPACS_OPTIM_PATH)
def get_inside_dim(self, cpacs_path):
""" Get user input from the CPACS file
The function 'get_inside_dim' extracts from the CPACS file the required
aircraft inside dimension, the code will use the default value when they are
missing.
Args:
cpacs_path (str): Path to CPACS file
"""
tixi = open_tixi(cpacs_path)
# Get inside dimension from the CPACS file if exit
self.seat_width = get_value_or_default(tixi, GEOM_XPATH + '/seatWidth',
0.525)
self.seat_length = get_value_or_default(tixi,
GEOM_XPATH + '/seatLength',
self.seat_length)
self.aisle_width = get_value_or_default(tixi,
GEOM_XPATH + '/aisleWidth',
0.42)
self.fuse_thick = get_value_or_default(tixi, GEOM_XPATH + '/fuseThick',
6.63)
self.toilet_length = get_value_or_default(tixi,
GEOM_XPATH + '/toiletLength',
self.toilet_length)
close_tixi(tixi, cpacs_path)
def transformer(input_file, output_file='output_cpacs.xml', geometry_dict={}):
"""Transforms a CPACS aircraft geometry by rescaling individual sections
Parameters
----------
input_file : str
The location of the CPACS file
output_file : str
The name of the output file (default output_cpacs.xml)
geometry_dict : dict
A dictionary of aircraft geometry parameters with the values
that the output CPACS file should have
dict keywords: fuselage_length, wing_span
"""
fuse_length_change = geometry_dict.get('fuse_length', 'None')
name = aircraft_name(input_file)
ag = geometry.geometry_eval(input_file, name)
fuse_length = ag.fuse_length[0]
scale = fuse_length_change / fuse_length
tixi_handle = open_tixi(input_file)
tixi_handle = section_transformer(tixi_handle, scale, ag.fuse_sec_nb[0])
tixi_handle = positioning_transformer(tixi_handle, scale)
close_tixi(tixi_handle, output_file)
return 'done'
def extract_am_data(Tool):
"""Get training data from aeromap.
Retrieve training dataset from an aeromap. The inputs are [alt, mach, aoa, aos]
parameters and the outputs are [cl, cd, cs, cml, cmd, cms].
Args:
Tool (Prediction_tool): Class containing the user specification.
Returns:
xd (4*m numpy array): Set of m points in the 4-dimensionnal design space.
yd (6*m numpy array): Set of m points in the 6-dimensionnal result space.
"""
cpacs_path = mif.get_toolinput_file_path('SMTrain')
tixi = cpsf.open_tixi(cpacs_path)
Tool.df = gen_df_from_am(tixi)
Aeromap = apmf.get_aeromap(tixi, Tool.aeromap_uid)
xd = np.array([Aeromap.alt, Aeromap.mach, Aeromap.aoa, Aeromap.aos])
yd = np.array([
Aeromap.cl, Aeromap.cd, Aeromap.cs, Aeromap.cml, Aeromap.cmd,
Aeromap.cms
])
cpsf.close_tixi(tixi, cpacs_path)
return xd.transpose(), yd.transpose()
def cpacs_generate(aircraftname, tot_len, nose_frac=0.1, tail_frac=0.1):
"""Generates a new CPACS file with a fuselage defined in it
Parameters
----------
aircraftname : str
The name of the aircraft and filename of the output CPACS file
tot_len : float
Total length of the fuselage
nose_frac : float, default = 0.1
Fraction of the total length that comprises the nose section
tail_frac : float, default = 0.1
Fraction of the total length that comprises the tail section
Outputs
-------
A CPACS file named aircraftname.xml
"""
# Instantiate class and create handle for it
tixi_handle = tixi.Tixi3()
tixi.Tixi3.create(tixi_handle, rootElementName='cpacs')
# Generate CPACS XML tag structure
tixi_handle = generate_cpacs_structure(tixi_handle, aircraftname)
# Create fuselage
tixi_handle = build_fuselage(tixi_handle, tot_len, nose_frac, tail_frac,
'Fuselage')
# Check that CPACS file matches schema
tixi_handle.schemaValidateFromFile('cpacs_schema.xsd')
close_tixi(tixi_handle, f"cpacs/{aircraftname}.xml")
def toolspecific_update(fus_nb, awg, mw, out, cpacs_out_path):
""" The function that update the cpacs file after the Weight_unc_main
program.
Args:
fus_nb (integer): Number of fuselage [-].
awg (class): AircraftWingGeometry class.
mw (class): Masses and Weights class.
out (class): Output class.
cpacs_out_path (str): Path of the output file.
"""
tixi = cpsf.open_tixi(cpacs_out_path)
# Path definition
CEASIOM_PATH = '/cpacs/toolspecific/CEASIOMpy'
WEIGHT_XPATH = CEASIOM_PATH + '/weight'
CREW_XPATH = WEIGHT_XPATH + '/crew'
cpsf.create_branch(tixi, CREW_XPATH + '/cabinCrewMembers', False)
PASS_XPATH = WEIGHT_XPATH + '/passengers'
cpsf.create_branch(tixi, PASS_XPATH, False)
# Path update
if not tixi.checkElement(CREW_XPATH + '/cabinCrewMembers/cabinCrewMemberNb'):
tixi.createElement(CREW_XPATH + '/cabinCrewMembers', 'cabinCrewMemberNb')
tixi.updateDoubleElement(CREW_XPATH + '/cabinCrewMembers/cabinCrewMemberNb',\
out.cabin_crew_nb, '%g')
if not tixi.checkElement(PASS_XPATH + '/passNb'):
tixi.createElement(PASS_XPATH, 'passNb')
tixi.updateIntegerElement(PASS_XPATH + '/passNb', out.pass_nb, '%i')
if not tixi.checkElement(PASS_XPATH + '/mass'):
tixi.createElement(PASS_XPATH, 'mass')
tixi.updateDoubleElement(PASS_XPATH + '/mass', mw.mass_pass, '%g')
if not tixi.checkElement(PASS_XPATH + '/toiletNb'):
tixi.createElement(PASS_XPATH, 'toiletNb')
tixi.updateIntegerElement(PASS_XPATH + '/toiletNb',int(out.toilet_nb),'%i')
if not tixi.checkElement(PASS_XPATH + '/fuelMassMaxpass'):
tixi.createElement(PASS_XPATH, 'fuelMassMaxpass')
FMP_PATH = PASS_XPATH + '/fuelMassMaxpass'
if not tixi.checkElement(FMP_PATH + '/description'):
tixi.createElement(FMP_PATH, 'description')
tixi.updateTextElement(FMP_PATH + '/description', 'Maximum amount of '\
+ 'fuel with maximum payload [kg]')
if not tixi.checkElement(FMP_PATH + '/mass'):
tixi.createElement(FMP_PATH, 'mass')
tixi.updateDoubleElement(FMP_PATH + '/mass', mw.mass_fuel_maxpass, '%g')
cpsf.close_tixi(tixi, cpacs_out_path)
return()
def update_cpacs_file(cpacs_path, cpacs_out_path, optim_var_dict):
"""Function to update a CPACS file with value from the optimiser
This function sets the new values of the design variables given by
the routine driver to the CPACS file, using the Tigl and Tixi handler.
Source:
* See CPACSCreator api function,
Args:
cpacs_path (str): Path to CPACS file to update
cpacs_out_path (str):Path to the updated CPACS file
optim_var_dict (dict): Dictionary containing all the variable
value/min/max and command to modify a CPACS file
"""
tixi = cpsf.open_tixi(cpacs_path)
tigl = cpsf.open_tigl(tixi)
aircraft = get_aircraft(tigl)
# help(aircraft)
wings = aircraft.get_wings()
# help(wings)
fuselage = aircraft.get_fuselages().get_fuselage(1)
# help(fuselage)
# Other functions which could be useful
# help(wings.get_wing(1).get_section(1))
# uid = wings.get_wing(1).get_section(2).get_uid()
# help(wings.get_wing(1).get_positioning_transformation(uid))
# wings.get_wing(1).get_section(2).set_rotation(geometry.CTiglPoint(40,40,-4))
# airfoil = wings.get_wing(1).get_section(1).get_section_element(1).get_airfoil_uid()
# help(airfoil)
# wings.get_wing(1).get_section(1).get_section_element(1).set_airfoil_uid('NACA0006')
# scal = wings.get_wing(1).get_section(1).get_section_element(1).get_scaling()
# help(wings.get_wing(1).get_section(2))
# Perform update of all the variable contained in 'optim_var_dict'
for name, (val_type, listval, minval, maxval, getcommand, setcommand) in optim_var_dict.items():
if val_type == 'des' and listval[0] not in ['-', 'True', 'False']:
if setcommand not in ['-', '']:
# Define variable (var1,var2,..)
locals()[str(name)] = listval[-1]
# Execute the command coresponding to the variable
if ';' in setcommand: # if more than one command on the line
command_split = setcommand.split(';')
for setcommand in command_split:
eval(setcommand)
else:
eval(setcommand)
else:
xpath = getcommand
tixi.updateTextElement(xpath, str(listval[-1]))
aircraft.write_cpacs(aircraft.get_uid())
tigl.close()
cpsf.close_tixi(tixi, cpacs_out_path)
def get_number_of_parts(cpacs_in):
""" The fuction counts the number of fuselage and wings.
Args:
cpacs_in (str): Path to the CPACS file.
Retrurns:
fus_nb (int): Number of fuselages.
wing_nb (int) : Number of wings.
"""
tixi = cpsf.open_tixi(cpacs_in)
if tixi.checkElement('/cpacs/vehicles/aircraft/model/fuselages'):
fus_nb = tixi.getNamedChildrenCount(
'/cpacs/vehicles/aircraft/model/fuselages', 'fuselage')
else:
fus_nb = 0
if tixi.checkElement('/cpacs/vehicles/aircraft/model/wings'):
wing_nb = tixi.getNamedChildrenCount(
'/cpacs/vehicles/aircraft/model/wings', 'wing')
else:
wing_nb = 0
cpsf.close_tixi(tixi, cpacs_in)
return (fus_nb, wing_nb)
def test_create_branch():
"""Test the function 'create_branch'"""
tixi_handle = open_tixi(CPACS_IN_PATH)
update_branch = '/cpacs/header/updates/update'
new_branch = '/cpacs/header/updates/update[3]/test/test1/test2'
# This branch should be added
tixi = create_branch(tixi_handle, update_branch, True)
# This branch should not be added
tixi = create_branch(tixi, update_branch, False)
# 'new_branch' should be added
tixi = create_branch(tixi, new_branch)
# Save modified tixi in the output CPACS file
close_tixi(tixi, CPACS_OUT_PATH)
# Reopen the output CPACS file to check if branches have been added
tixi_out = open_tixi(CPACS_OUT_PATH)
# Check if the number of "update" child is equal to 3
namedchild_nb = tixi_out.getNamedChildrenCount('/cpacs/header/updates',
'update')
assert namedchild_nb == 3
# Check if 'new_branch' has been added
branch_check = tixi_out.checkElement(new_branch)
assert branch_check
def compute(self, inputs, outputs):
"""Compute the objective expression"""
global counter
counter += 1
cpacs_path = mif.get_tooloutput_file_path(Rt.modules[-1])
# Save the CPACS file for this iteration
if counter % Rt.save_iter == 0:
loc = optim_dir_path + '/Geometry/' + 'iter_{}.xml'.format(counter)
shutil.copy(cpacs_path, loc)
# Add new variables to dictionnary
tixi = cpsf.open_tixi(cpacs_path)
dct.update_dict(tixi, optim_var_dict)
# Change local wkdir for the next iteration
tixi.updateTextElement(opf.WKDIR_XPATH,
ceaf.create_new_wkdir(Rt.date, Rt.type))
for obj in Rt.objective:
var_list = splt('[+*/-]', obj)
for v in var_list:
if not v.isdigit() and v != '':
exec('{} = inputs["{}"]'.format(v, v))
result = eval(obj)
if Rt.minmax == 'min':
outputs['Objective function ' + obj] = -result
else:
outputs['Objective function ' + obj] = result
cpsf.close_tixi(tixi, cpacs_path)
def compute(self, inputs, outputs):
"""Launches the module"""
# Updating inputs in CPACS file
cpacs_path = mif.get_toolinput_file_path(self.module_name)
tixi = cpsf.open_tixi(cpacs_path)
for name in inputs:
if name in optim_var_dict:
xpath = optim_var_dict[name][4]
cpsf.add_float_vector(tixi, xpath, inputs[name])
cpsf.close_tixi(tixi, cpacs_path)
# Running the module
wkf.run_subworkflow([self.module_name])
# Feeding CPACS file restults to outputs
cpacs_path = mif.get_tooloutput_file_path(self.module_name)
tixi = cpsf.open_tixi(cpacs_path)
for name in outputs:
if name in optim_var_dict:
xpath = optim_var_dict[name][4]
outputs[name] = cpsf.get_value(tixi, xpath)
# Copy CPACS to input folder of next module
index = Rt.modules.index(self.module_name) + 1
if index != len(Rt.modules):
cpacs_path = mif.get_toolinput_file_path(Rt.modules[index])
else:
cpacs_path = mif.get_toolinput_file_path(Rt.modules[0])
cpsf.close_tixi(tixi, cpacs_path)
def get_number_of_parts(cpacs_in):
""" The fuction counts the number of fuselage and wings.
INPUT
(char) cpacs_in --Arg.: Relative position of the xml file.
OUTPUT
(int) f_nb --Out.: Number of fuselages.
(int) W_nb --Out.: Number of wings.
"""
# Opening tixi and tigl
tixi = cpf.open_tixi(cpacs_in)
if not tixi.checkElement('/cpacs/vehicles/aircraft\
/model/fuselages'):
f_nb = 0
else:
f_nb = tixi.getNamedChildrenCount(
'/cpacs/vehicles/aircraft\
/model/fuselages', 'fuselage')
if not tixi.checkElement('/cpacs/vehicles/aircraft\
/model/wings'):
w_nb = 0
else:
w_nb = tixi.getNamedChildrenCount(
'/cpacs/vehicles/aircraft\
/model/wings', 'wing')
cpf.close_tixi(tixi, cpacs_in)
return (f_nb, w_nb)
def add_skin_friction(cpacs_path, cpacs_out_path):
""" Function to add the skin frinction drag coeffienct to the CPACS file
Function 'add_skin_friction' add the skin friction drag 'cd0' to the CPACS
file, then it could be added to the drag coeffienct obtain with Euler
calcualtions or other methods
Args:
cpacs_path (str): Path to CPACS file
cpacs_out_path (str): Path to CPACS output file
"""
tixi = open_tixi(cpacs_path)
tigl = open_tigl(tixi)
wing_area_max, wing_span_max = get_largest_wing_dim(tixi, tigl)
analysis_xpath = '/cpacs/toolspecific/CEASIOMpy/geometry/analysis'
range_xpath = '/cpacs/toolspecific/CEASIOMpy/ranges'
# Requiered input data from CPACS
wetted_area = get_value(tixi, analysis_xpath + '/wettedArea')
# Not requiered input data (a default value will be used if no
# value has been found in the CPACS file)
wing_area_xpath = analysis_xpath + '/wingArea'
tixi, wing_area = get_value_or_default(tixi, wing_area_xpath,
wing_area_max)
if wing_area != wing_area_max:
log.warning('Wing area found in the CPACS file /toolspecific is \
different from the one calculated from geometry, \
/toolspecific value will be used')
wing_span_xpath = analysis_xpath + '/wingSpan'
tixi, wing_span = get_value_or_default(tixi, wing_span_xpath,
wing_span_max)
if wing_span != wing_span_max:
log.warning('Wing span found in the CPACS file /toolspecific is \
different from the one calculated from geometry, \
/toolspecific value will be used')
cruise_alt_xpath = range_xpath + '/cruiseAltitude'
tixi, cruise_alt = get_value_or_default(tixi, cruise_alt_xpath, 12000)
cruise_mach_xpath = range_xpath + '/cruiseMach'
tixi, cruise_mach = get_value_or_default(tixi, cruise_mach_xpath, 0.78)
# Calculate Cd0
cd0 = estimate_skin_friction_coef(wetted_area,wing_area,wing_span, \
cruise_mach,cruise_alt)
# Save Cd0 in the CPACS file
cd0_xpath = '/cpacs/toolspecific/CEASIOMpy/aerodynamics/skinFriction/cd0'
tixi = create_branch(tixi, cd0_xpath)
tixi.updateDoubleElement(cd0_xpath, cd0, '%g')
log.info('Skin friction drag coeffienct (cd0) has been saved in the \
CPACS file')
close_tixi(tixi, cpacs_out_path)
def create_routine_folder():
"""Create the working dicrectory of the routine.
Create a folder in which all CEASIOMpy runs and routine parameters will be
saved. This architecture may change in the future. For now the architecture
of the folder is as such :
> CEASIOMpy_Run_XX-XX-XX
-> Optim
--> Geometry
--> Runs
---> Run_XX-XX-XX
-> Optim2
|
-> OptimX
-> DoE
Args:
None.
"""
global optim_dir_path, Rt
# Create the main working directory
tixi = cpsf.open_tixi(opf.CPACS_OPTIM_PATH)
wkdir = ceaf.get_wkdir_or_create_new(tixi)
optim_dir_path = os.path.join(wkdir, Rt.type)
Rt.date = wkdir[-19:]
# Save the path to the directory in the CPACS
if tixi.checkElement(opf.OPTWKDIR_XPATH):
tixi.removeElement(opf.OPTWKDIR_XPATH)
cpsf.create_branch(tixi, opf.OPTWKDIR_XPATH)
tixi.updateTextElement(opf.OPTWKDIR_XPATH, optim_dir_path)
# Add subdirectories
if not os.path.isdir(optim_dir_path):
os.mkdir(optim_dir_path)
os.mkdir(optim_dir_path + '/Geometry')
os.mkdir(optim_dir_path + '/Runs')
else:
index = 2
optim_dir_path = optim_dir_path + str(index)
while os.path.isdir(optim_dir_path):
index += 1
optim_dir_path = optim_dir_path.split(
Rt.type)[0] + Rt.type + str(index)
os.mkdir(optim_dir_path)
os.mkdir(optim_dir_path + '/Geometry')
os.mkdir(optim_dir_path + '/Runs')
tixi.updateTextElement(opf.OPTWKDIR_XPATH, optim_dir_path)
tixi.updateTextElement(opf.WKDIR_XPATH, optim_dir_path)
cpsf.close_tixi(tixi, opf.CPACS_OPTIM_PATH)
def one_iteration():
"""
Compute the objective function.
Function 'one_iteration' will exectute in order all the module contained
in '...' and extract the ... value from the last CPACS file, this value will
be returned to the optimizer CPACSUpdater....
"""
global counter
counter += 1
# Create the parameter in CPACS with 'CPACSUpdater' module
cpacs_path = mi.get_toolinput_file_path('CPACSUpdater')
cpacs_out_path = mi.get_tooloutput_file_path('CPACSUpdater')
tixi = cpsf.open_tixi(cpacs_path)
wkdir_path = ceaf.create_new_wkdir(Rt.date)
WKDIR_XPATH = '/cpacs/toolspecific/CEASIOMpy/filesPath/wkdirPath'
tixi.updateTextElement(WKDIR_XPATH, wkdir_path)
# TODO: improve this part! (maybe move somewhere else)
# To delete coef from previous iter
if opf.get_aeromap_path(Rt.modules) != 'None':
xpath = opf.get_aeromap_path(Rt.modules)
aeromap_uid = cpsf.get_value(tixi, xpath + '/aeroMapUID')
Coef = apmf.get_aeromap(tixi, aeromap_uid)
apmf.delete_aeromap(tixi, aeromap_uid)
apmf.create_empty_aeromap(tixi, aeromap_uid, 'test_optim')
apmf.save_parameters(tixi, aeromap_uid, Coef)
cpsf.close_tixi(tixi, cpacs_path)
# Update the CPACS file with the parameters contained in design_var_dict
update_cpacs_file(cpacs_path, cpacs_out_path, design_var_dict)
# Save the CPACS file
if counter % 1 == 0:
file_copy_from = mi.get_tooloutput_file_path('CPACSUpdater')
shutil.copy(
file_copy_from,
optim_dir_path + '/Geometry/' + 'iter_{}.xml'.format(counter))
# Run optimisation sub workflow
wkf.copy_module_to_module('CPACSUpdater', 'out', Rt.modules[0], 'in')
wkf.run_subworkflow(Rt.modules)
wkf.copy_module_to_module(Rt.modules[-1], 'out', 'CPACSUpdater', 'in')
# Extract results TODO: improve this part
cpacs_results_path = mi.get_tooloutput_file_path(Rt.modules[-1])
log.info('Results will be extracted from:' + cpacs_results_path)
tixi = cpsf.open_tixi(cpacs_results_path)
# Update the constraints values
update_res_var_dict(tixi)
return compute_obj()
def cpacs_engine_update(ui, ed, mw, out_xml):
""" The function that update the cpacs file after the Weight_unc_main
program.
INPUT
(class) mw --Arg.: MassesWeihts class.
(class) ui --Arg.: UserInputs class.
(class) ed --Arg.: EngineData class.
##======= Class are defined in the Input_Classes folder =======##
(char) out_xml --Arg.: Path of the output file.
OUTPUT
(file) cpacs.xml --Out.: Updated cpacs file.
"""
tixi = cpf.open_tixi(out_xml)
tigl = cpf.open_tigl(tixi)
# Path creation ==========================================================
EN_PATH = '/cpacs/vehicles/engines'
if tixi.checkElement(EN_PATH):
tixi.removeElement(EN_PATH)
for e in range(0, ed.NE):
EN_PATH = '/cpacs/vehicles/engines/engine' + str(e + 1)
tixi = cpf.create_branch(tixi, EN_PATH, True)
EN_UID = 'EngineuID_' + str(e + 1)
tixi = cpf.add_uid(tixi, EN_PATH, EN_UID)
tixi.createElement(EN_PATH, 'name')
if not ed.EN_NAME[e]:
EN_NAME = 'Engine_' + str(e + 1)
tixi.updateTextElement(EN_PATH + '/name', EN_NAME)
else:
tixi.updateTextElement(EN_PATH + '/name', ed.EN_NAME[e])
ENA_PATH = EN_PATH + '/analysis/mass'
tixi = cpf.create_branch(tixi, ENA_PATH, False)
tixi = cpf.add_uid(tixi, EN_PATH, EN_UID + '_mass')
tixi.createElement(ENA_PATH, 'mass')
tixi.updateDoubleElement(ENA_PATH + '/mass', ed.en_mass, '%g')
ENT_PATH = EN_PATH + '/analysis'
tixi.createElement(ENT_PATH, 'thrust00')
tixi.updateDoubleElement(ENT_PATH + '/thrust00', ed.max_thrust, '%g')
# Saving and closing the new cpacs file inside the ToolOutput folder -----
tixi.saveDocument(out_xml)
cpf.close_tixi(tixi, out_xml)
# Openign and closing again the cpacs file, formatting purpose -----------
tixi = cpf.open_tixi(out_xml)
tigl = cpf.open_tigl(tixi)
tixi.saveDocument(out_xml)
cpf.close_tixi(tixi, out_xml)
return ()
def get_cl(cpacs_path, cpacs_out_path):
""" Function to calculate CL requiered as a function of the parameter found
in the CPACS file.
Function 'get_cl' find input value in the CPACS file, calculate the
requiered CL (with calculate_cl) and save the CL value in
/cpacs/toolspecific/CEASIOMpy/aerodynamics/su2/targetCL
Args:
cpacs_path (str): Path to CPACS file
cpacs_out_path (str): Path to CPACS output file
"""
tixi = open_tixi(cpacs_path)
# XPath definition
model_xpath = '/cpacs/vehicles/aircraft/model'
ref_area_xpath = model_xpath + '/reference/area'
mtom_xpath = model_xpath + '/analyses/massBreakdown/designMasses/mTOM/mass'
range_xpath = '/cpacs/toolspecific/CEASIOMpy/ranges'
cruise_alt_xpath = range_xpath + '/cruiseAltitude'
cruise_mach_xpath = range_xpath + '/cruiseMach'
load_fact_xpath = range_xpath + '/loadFactor'
su2_xpath = '/cpacs/toolspecific/CEASIOMpy/aerodynamics/su2'
# Requiered input data from CPACS
ref_area = get_value(tixi, ref_area_xpath)
mtom = get_value(tixi, mtom_xpath)
# Requiered input data that could be replace by a default value if missing
cruise_alt = get_value_or_default(tixi, cruise_alt_xpath, 12000.0)
cruise_mach = get_value_or_default(tixi, cruise_mach_xpath, 0.78)
load_fact = get_value_or_default(tixi, load_fact_xpath, 1.05)
# Get atmosphere from cruise altitude
Atm = get_atmosphere(cruise_alt)
# CL calculation
target_cl = calculate_cl(ref_area, cruise_alt, cruise_mach, mtom,
load_fact)
# Save TargetCL
create_branch(tixi, su2_xpath)
create_branch(tixi, su2_xpath + '/targetCL')
create_branch(tixi, su2_xpath + '/fixedCL')
tixi.updateDoubleElement(su2_xpath + '/targetCL', target_cl, '%g')
tixi.updateTextElement(su2_xpath + '/fixedCL', 'YES')
log.info('Target CL has been saved in the CPACS file')
close_tixi(tixi, cpacs_out_path)
def get_user_fuel(fus_nb, ui, cpacs_in):
"""Function to extract fuel data from a CPACS file
Function 'get_user_fuel' extracts fuel data from the CPACS file, the code
will use the default value when they are missing.
Args:
fus_nb (int): Number of fuselage.
ui (class): UserInputs class
cpacs_in (str): Path to the CPACS file
Returns:
ui (class): Modified UserInputs class
"""
log.info('Starting data extraction from CPACS file')
tixi = cpsf.open_tixi(cpacs_in)
FUEL_XPATH = '/cpacs/toolspecific/CEASIOMpy/fuels'
cpsf.create_branch(tixi, FUEL_XPATH, False)
if fus_nb:
for i in range(0, fus_nb):
if fus_nb > 1:
F = 'fuelOnCabin' + str(i + 1)
else:
F = 'fuelOnCabin'
if not tixi.checkElement(FUEL_XPATH + '/' + F):
tixi.createElement(FUEL_XPATH, F)
tixi.updateDoubleElement(FUEL_XPATH + '/' + F, ui.F_FUEL[i],
'%g')
else:
ui.F_FUEL[i] = tixi.getDoubleElement(FUEL_XPATH + '/' + F)
else:
if not tixi.checkElement(FUEL_XPATH + '/fuelOnCabin'):
tixi.createElement(FUEL_XPATH, 'fuelOnCabin')
tixi.updateDoubleElement(FUEL_XPATH + '/fuelOnCabin',
ui.FUEL_ON_CABIN, '%g')
else:
temp = tixi.updateDoubleElement(FUEL_XPATH + '/fuelOnCabin',
ui.FUEL_ON_CABIN, '%g')
if temp != ui.FUEL_ON_CABIN and temp > 0:
ui.FUEL_ON_CABIN = temp
log.info('Data from CPACS file succesfully extracted')
cpsf.close_tixi(tixi, cpacs_in)
return (ui)
def get_user_inputs(self, cpacs_path):
""" Get user input from the CPACS file
The function 'get_user_inputs' extracts from the CPACS file the required
input data, the code will use the default value when they are missing.
Args:
cpacs_path (str): Path to CPACS file
"""
tixi = open_tixi(cpacs_path)
description = 'User geometry input'
get_value_or_default(tixi, GEOM_XPATH + '/description', description)
self.IS_DOUBLE_FLOOR = get_value_or_default(
tixi, GEOM_XPATH + '/isDoubleFloor', 0)
self.PILOT_NB = get_value_or_default(tixi, pilots_xpath + '/pilotNb',
2)
self.MASS_PILOT = get_value_or_default(tixi,
pilots_xpath + '/pilotMass',
102)
self.MASS_CABIN_CREW = get_value_or_default(
tixi, CC_XPATH + '/cabinCrewMemberMass', 68)
self.MASS_PASS = get_value_or_default(tixi, PASS_XPATH + '/passMass',
105)
self.PASS_PER_TOILET = get_value_or_default(
tixi, PASS_XPATH + '/passPerToilet', 50)
description = 'Desired max fuel volume [m^3] and payload mass [kg]'
get_value_or_default(tixi, ML_XPATH + '/description', description)
self.MAX_PAYLOAD = get_value_or_default(tixi, ML_XPATH + '/maxPayload',
0)
self.MAX_FUEL_VOL = get_value_or_default(tixi,
ML_XPATH + '/maxFuelVol', 0)
self.MASS_CARGO = get_value_or_default(tixi, MC_XPATH + '/mass', 0.0)
self.FUEL_DENSITY = get_value_or_default(tixi, F_XPATH + '/density',
800)
self.TURBOPROP = get_value_or_default(tixi, PROP_XPATH + '/turboprop',
False)
self.RES_FUEL_PERC = get_value_or_default(tixi,
FUEL_XPATH + '/resFuelPerc',
0.06)
add_uid(tixi, F_XPATH, 'kerosene')
close_tixi(tixi, cpacs_path)
def cpacs_engine_update(ui, ed, mw, cpacs_out_path):
""" The function that update the cpacs file after the Weight_unc_main
program.
Args:
mw (class): MassesWeihts class.
ui (class): UserInputs class.
ed (class): EngineData class.
cpacs_out_path (str): Path of the CPACS output file.
"""
tixi = cpsf.open_tixi(cpacs_out_path)
tigl = cpsf.open_tigl(tixi)
EN_XPATH = '/cpacs/vehicles/engines'
if tixi.checkElement(EN_XPATH):
tixi.removeElement(EN_XPATH)
for e in range(0,ed.NE):
EN_XPATH = '/cpacs/vehicles/engines/engine' + str(e+1)
cpsf.create_branch(tixi, EN_XPATH, True)
EN_UID = 'EngineuID_' + str(e+1)
cpsf.add_uid(tixi, EN_XPATH, EN_UID)
tixi.createElement(EN_XPATH, 'name')
if not ed.EN_NAME[e]:
EN_NAME = 'Engine_' + str(e+1)
tixi.updateTextElement(EN_XPATH + '/name', EN_NAME)
else:
tixi.updateTextElement(EN_XPATH + '/name', ed.EN_NAME[e])
ENA_XPATH = EN_XPATH + '/analysis/mass'
cpsf.create_branch(tixi, ENA_XPATH, False)
cpsf.add_uid(tixi, EN_XPATH, EN_UID+'_mass')
tixi.createElement(ENA_XPATH, 'mass')
tixi.updateDoubleElement(ENA_XPATH + '/mass', ed.en_mass, '%g')
ENT_XPATH = EN_XPATH + '/analysis'
tixi.createElement(ENT_XPATH, 'thrust00')
tixi.updateDoubleElement(ENT_XPATH + '/thrust00', ed.max_thrust, '%g')
cpsf.close_tixi(tixi, cpacs_out_path)
return()
def compute(self, inputs, outputs):
"""Launches the module"""
# Updating inputs in CPACS file
cpacs_path = mif.get_toolinput_file_path(self.module_name)
tixi = cpsf.open_tixi(cpacs_path)
for name in inputs:
if name in optim_var_dict:
xpath = optim_var_dict[name][4]
# Change only the first vector value for aeromap param
if name in apmf.XSTATES:
size = tixi.getVectorSize(xpath)
v = list(tixi.getFloatVector(xpath, size))
v.pop(0)
v.insert(0, inputs[name])
tixi.updateFloatVector(xpath, v, size, '%g')
else:
cpsf.add_float_vector(tixi, xpath, inputs[name])
cpsf.close_tixi(tixi, cpacs_path)
# Running the module
wkf.run_subworkflow([self.module_name])
# Feeding CPACS file results to outputs
cpacs_path = mif.get_tooloutput_file_path(self.module_name)
tixi = cpsf.open_tixi(cpacs_path)
for name in outputs:
if name in optim_var_dict:
xpath = optim_var_dict[name][4]
if name in apmf.COEF_LIST:
val = cpsf.get_value(tixi, xpath)
if isinstance(val, str):
val = val.split(';')
outputs[name] = val[0]
else:
outputs[name] = val
else:
outputs[name] = cpsf.get_value(tixi, xpath)
# Copy CPACS to input folder of next module
index = Rt.modules.index(self.module_name) + 1
if index != len(Rt.modules):
cpacs_path = mif.get_toolinput_file_path(Rt.modules[index])
else:
cpacs_path = mif.get_toolinput_file_path(Rt.modules[0])
cpsf.close_tixi(tixi, cpacs_path)
def get_fuselage_scaling(cpacs_path, cpacs_out_path):
"""Function to get fuselage scaling along x,y,z axis.
Function 'get_fuselage_scaling' return the value of the scaling for the
fuselage. (This is an example function just to show usaga of CPACS and tixi)
Source:
* Reference paper or book, with author and date
Args:
cpacs_path (str): Path to CPACS file
cpacs_out_path (str):Path to CPACS output file
Returns:
Tuple with fuselage scaling
* x (float): Scaling on x [-]
* y (float): Scaling on y [-]
* z (float): Scaling on z [-]
"""
# Open TIXI handle
tixi = open_tixi(cpacs_path)
# Create xpaths
FUSELAGE_XPATH = '/cpacs/vehicles/aircraft/model/fuselages/fuselage'
SCALING_XPATH = '/transformation/scaling'
x_fus_scaling_xpath = FUSELAGE_XPATH + SCALING_XPATH + '/x'
y_fus_scaling_xpath = FUSELAGE_XPATH + SCALING_XPATH + '/y'
z_fus_scaling_xpath = FUSELAGE_XPATH + SCALING_XPATH + '/z'
# Get values
x = get_value(tixi, x_fus_scaling_xpath)
y = get_value(tixi, y_fus_scaling_xpath)
z = get_value(tixi, z_fus_scaling_xpath)
# Log
log.info('Fuselage x scaling is : ' + str(x))
log.info('Fuselage y scaling is : ' + str(y))
log.info('Fuselage z scaling is : ' + str(z))
# Close TIXI handle and save the CPACS file
close_tixi(tixi, cpacs_out_path)
return x, y, z
def create_aeromap(bounds, sample_type='Uniform', sample_nb=5, tixi=''):
"""Create an aeromap
This function will generate an aeromap either as a CSV file or in a CPACS file
depending on what is indicated.
Args:
bounds (np array): 4-by-2 array containing the boundaries for each variable
tixi (Tixi3 handle): If no handle is given, a CSV file will be generated instead.
sample_type (str): Choice of the method to generate the points.
sample_nb (int): Number of samples to generate.
"""
s_t = sample_type.lower()
if s_t in 'fullfactorial':
sampling = smp.FullFactorial(xlimits=bounds)
x = sampling(sample_nb)
elif s_t in 'latinhypercube':
sampling = smp.LHS(xlimits=bounds)
x = sampling(sample_nb)
elif s_t in 'random':
sampling = smp.random(xlimits=bounds)
x = sampling(sample_nb)
else:
x = np.array([np.linspace(b[0], b[1], sample_nb) for b in bounds])
x = x.transpose()
if tixi != '':
log.info('in tixi')
desc = 'Aeromap generated by ' + sample_type + ' sampling'
create_empty_aeromap(tixi, 'Aeromap_sample', description=desc)
Param = AeroCoefficient()
Param.alt = x[:, 0]
Param.mach = x[:, 1]
Param.aoa = x[:, 2]
Param.aos = x[:, 3]
save_parameters(tixi, 'Aeromap_sample', Param)
cpsf.close_tixi(tixi, '../Optimisation/ToolInput/ToolInput.xml')
else:
np.savetxt('Aeromap_sample.csv',
x,
delimiter=',',
header='alt,mach,aoa,aos')
def compute(self, inputs, outputs):
"""Make a prediction"""
xp = []
for name in self.xd.index:
xp.append(inputs[name][0])
xp = np.array([xp])
yp = self.Model.sm.predict_values(xp)
for i, name in enumerate(self.yd.index):
outputs[name] = yp[0][i]
# Write the inouts to the CPACS
cpacs_path = mif.get_toolinput_file_path('SMUse')
tixi = cpsf.open_tixi(cpacs_path)
smu.write_inouts(self.xd, xp, tixi)
smu.write_inouts(self.yd, yp, tixi)
cpacs_path_out = mif.get_tooloutput_file_path('SMUse')
cpsf.close_tixi(tixi, cpacs_path_out)
def _save_quit(self):
# Iterate over all existing tabs
for tab in self.tab_list:
# Iterate in Variable dictionary of each tab
for key, var in tab.var_dict.items():
# Get the XPath from the GUI setting dictionary and crate a branch
name = tab.gui_dict[key][0]
xpath = tab.gui_dict[key][4]
cpsf.create_branch(self.tixi,xpath)
if name == '__AEROMAP_CHECHBOX':
aeromap_uid_list_str = ''
for aeromap_uid, aeromap_bool in tab.aeromap_var_dict.items():
if aeromap_bool.get():
aeromap_uid_list_str += aeromap_uid + ';'
if aeromap_uid_list_str == '':
messagebox.showerror('ValueError', 'In the Tab "' + \
tab.module_name + '", no value has been selected for "' + \
name + '" ')
raise TypeError('No value has been selected for ' + name + ' !')
self.tixi.updateTextElement(xpath, aeromap_uid_list_str)
# '__AEROMAP_SELECTION' and list Type value will be saved as any other variable
else:
if str(var.get()) == '':
# Not working when it expect an 'int' or a 'float'
messagebox.showerror('ValueError', 'In the Tab "' + \
tab.module_name + '", no value has been entered for "' + \
name + '" ')
raise TypeError('No value has been entered for ' + name + ' !')
try:
self.tixi.updateTextElement(xpath, str(var.get()))
except:
messagebox.showerror('TypeError', 'In the Tab "' + \
tab.module_name + '", the value "' + \
name + '" has not the correct type!')
raise TypeError(name + ' has not the correct type!')
cpsf.close_tixi(self.tixi, self.cpacs_out_path)
self.quit()
def routine_launcher(Opt):
"""Run an optimisation routine or DoE using the OpenMDAO library.
This function launches the setup for the routine by setting up the problem
with the OpenMDAO component, creating of reading a file containing all the
problem parameters and launching the driver. It also specifies where to
save the case recordings and launches the results plotting at the end of
the routine.
Args:
Opt (class) : Indicates which modules to use and the routine type
(Optim or DoE).
"""
global optim_var_dict, am_dict, Rt, am_length
Rt.type = Opt.optim_method
Rt.modules = Opt.module_optim
## Initialize CPACS file and problem dictionary ##
create_routine_folder()
opf.first_run(Rt)
tixi = cpsf.open_tixi(opf.CPACS_OPTIM_PATH)
tixi.updateTextElement(opf.WKDIR_XPATH,
ceaf.create_new_wkdir(optim_dir_path))
Rt.get_user_inputs(tixi)
optim_var_dict = opf.create_variable_library(Rt, tixi, optim_dir_path)
am_dict = opf.create_am_lib(Rt, tixi)
cpsf.close_tixi(tixi, opf.CPACS_OPTIM_PATH)
wkf.copy_module_to_module('Optimisation', 'in', Rt.modules[0], 'in')
## Instantiate components and subsystems ##
prob = om.Problem()
create_om_problem(prob)
## Run the model ##
prob.run_driver()
generate_results(prob)
def copy_xml(cpacs_in, NAME):
""" The function creates a copy of the cpacs file, inside the ToolInput
folder, into the ToolOutput folder.
INPUT
(char) cpacs_in --Arg.: Relative location of the xml file in the
ToolInput folder.
(char) NAME --Arg.: tooloutput.xml or user_tooloutput.xml
OUTPUT
(char) out_xml --Out.: Relative location of the xml file in the
ToolOutut folder.
"""
tixi = cpf.open_tixi(cpacs_in)
out_xml = 'ToolOutput/' + NAME
tixi.saveDocument(out_xml)
cpf.close_tixi(tixi, out_xml)
return (out_xml)
