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 routine_setup(modules, routine_type, modules_pre=[]): """ Set up optimisation. Retrieve the list of modules to use in the optimization loop and launches the optimization process. """ log.info('----- Start of Optimisation module -----') global Rt, design_var_dict, res_var_dict, optim_dir_path # Setup parameters of the routine Rt.type = routine_type Rt.modules = modules Rt.driver = 'COBYLA' Rt.objective = 'cl/cd' # Rt.design_vars = Rt.constraints = ['cms'] Rt.date = datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S') Rt.doetype = 'uniform' Rt.samplesnb = 3 cpacs_path = mi.get_toolinput_file_path('Optimisation') # Create Optim folder for results tixi = cpsf.open_tixi(cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) optim_dir_path = os.path.join(wkdir, Rt.type) if not os.path.isdir(optim_dir_path): os.mkdir(optim_dir_path) os.mkdir(optim_dir_path + '/Geometry') # Initiates dictionnaries res_var_dict, design_var_dict = init_dict(cpacs_path, modules, modules_pre) # Copy to CPACSUpdater to pass to next modules wkf.copy_module_to_module('Optimisation', 'in', 'CPACSUpdater', 'in') # Display routine info log.info('------ Problem description ------') log.info('Routine type : {}'.format(routine_type)) log.info('Objective function : {}'.format(Rt.objective)) [ log.info('Design variables : {}'.format(k)) for k in design_var_dict.keys() ] [log.info('constraints : {}'.format(k)) for k in res_var_dict.keys()] run_routine() log.info('----- End of Optimisation module -----')
def get_user_inputs(self): """Take user inputs from the GUI.""" cpacs_path = mif.get_toolinput_file_path('SMTrain') tixi = cpsf.open_tixi(cpacs_path) # Search working directory self.wkdir = cpsf.get_value_or_default(tixi, OPTWKDIR_XPATH, '') if self.wkdir == '': self.wkdir = ceaf.get_wkdir_or_create_new(tixi) + '/SM' if not os.path.isdir(self.wkdir): os.mkdir(self.wkdir) self.type = cpsf.get_value_or_default(tixi, SMTRAIN_XPATH + 'modelType', 'KRG') obj = cpsf.get_value_or_default(tixi, SMTRAIN_XPATH + 'objective', 'cl') self.objectives = re.split(';|,', obj) self.user_file = cpsf.get_value_or_default(tixi, SMTRAIN_XPATH + 'trainFile', '') if self.user_file == '': path = cpsf.get_value_or_default(tixi, OPTWKDIR_XPATH, '') if path != '': self.user_file = path + '/Variable_history.csv' self.data_repartition = cpsf.get_value_or_default( tixi, SMTRAIN_XPATH + 'trainingPercentage', 0.9) self.show_plots = cpsf.get_value_or_default( tixi, SMTRAIN_XPATH + 'showPlots', False) self.aeromap_case = cpsf.get_value_or_default( tixi, SMTRAIN_XPATH + 'useAeromap', False) self.aeromap_uid = cpsf.get_value_or_default( tixi, SMTRAIN_XPATH + 'aeroMapUID', '') cpsf.close_tixi(tixi, cpacs_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. Args: None. Returns: None. """ global optim_dir_path, Rt # Create the main working directory tixi = cpsf.open_tixi(opf.CPACS_OPTIM_PATH) if tixi.checkElement(opf.WKDIR_XPATH): tixi.removeElement(opf.WKDIR_XPATH) 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') cpsf.close_tixi(tixi, opf.CPACS_OPTIM_PATH)
# Opt.cpacs_path = '../../test/CPACSfiles/simpletest_cpacs.xml' Opt.module_pre = [] Opt.module_optim = ['WeightConventional', 'PyTornado'] Opt.optim_method = 'DoE' # DoE, Optim, None Opt.module_post = [] # Copy ToolInput.xml in ToolInput dir if not already there cpacs_path = mi.get_toolinput_file_path(MODULE_NAME) if not Opt.cpacs_path == cpacs_path: shutil.copy(Opt.cpacs_path, cpacs_path) Opt.cpacs_path = cpacs_path # Create a new wkdir tixi = cpsf.open_tixi(Opt.cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) cpsf.close_tixi(tixi, Opt.cpacs_path) # Run Pre-otimisation workflow if Opt.module_pre: wkf.run_subworkflow(Opt.module_pre, Opt.cpacs_path) if not Opt.module_optim and not Opt.module_post: shutil.copy(mi.get_tooloutput_file_path(Opt.module_pre[-1]), cpacs_path_out) # Run Optimisation workflow if Opt.module_optim: if Opt.module_pre: wkf.copy_module_to_module(Opt.module_pre[-1], 'out', 'Optimisation', 'in')
def create_SU2_mesh(cpacs_path, cpacs_out_path): """ Function to create a simple SU2 mesh form an SUMO file (.smx) Function 'create_mesh' is used to generate an unstructured mesh with SUMO (which integrage Tetgen for the volume mesh) using a SUMO (.smx) geometry file as input. Meshing option could be change manually (only in the script for now) Source : * sumo help, tetgen help (in the folder /doc) Args: cpacs_path (str): Path to the CPACS file cpacs_out_path (str): Path to the output CPACS file """ tixi = cpsf.open_tixi(cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) sumo_dir = os.path.join(wkdir, 'SUMO') if not os.path.isdir(sumo_dir): os.mkdir(sumo_dir) su2_mesh_path = os.path.join(sumo_dir, 'ToolOutput.su2') meshdir = os.path.join(wkdir, 'MESH') if not os.path.isdir(meshdir): os.mkdir(meshdir) original_dir = os.getcwd() os.chdir(sumo_dir) sumo_file_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/sumoFilePath' sumo_file_path = cpsf.get_value_or_default(tixi, sumo_file_xpath, '') if sumo_file_path == '': raise ValueError('No SUMO file to use to create a mesh') # Set mesh parameters log.info('Mesh parameter will be set') refine_level_xpath = '/cpacs/toolspecific/CEASIOMpy/mesh/sumoOptions/refinementLevel' refine_level = cpsf.get_value_or_default(tixi, refine_level_xpath, 0.0) log.info('Refinement level is {}'.format(refine_level)) add_mesh_parameters(sumo_file_path, refine_level) # Check current Operating System current_os = platform.system() if current_os == 'Darwin': log.info('Your OS is Mac\n\n') log.info( '!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!') log.info('On MacOS the mesh has to be generated manually.') log.info('To create a SU2Mesh you have to :') log.info('Open the .smx geometry that you will find there:') log.info(sumo_file_path) log.info('Click on the button "Mesh"') log.info('Click on "Create Mesh"') log.info('Click on "Volume Mesh"') log.info('Click on "Run"') log.info('When the mesh generation is completed, click on "Close"') log.info('Go to the Menu "Mesh" -> "Save volume mesh..."') log.info('Chose "SU2 (*.su2)" as File Type"') log.info('Copy/Paste the following line as File Name') log.info(su2_mesh_path) log.info('Click on "Save"') log.info('You can now close SUMO, your workflow will continue.') log.info( 'More information: https://ceasiompy.readthedocs.io/en/latest/user_guide/modules/SUMOAutoMesh/index.html' ) log.info( '!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n\n' ) # For now, I did not find a way to run "sumo -batch" on Mac... # The command just open SUMO GUI, the mesh has to be generate and save manually command = ['open', '/Applications/SUMO/dwfsumo.app/'] os.system(' '.join(command)) elif current_os == 'Linux': log.info('Your OS is Linux') # Check if SUMO is installed soft_dict = ceaf.get_install_path(['sumo']) # Run SUMO in batch output = '-output=su2' options = '-tetgen-options=pq1.16VY' # See Tetgen help for more options, maybe transform that as an input # Command line to run: sumo -batch -output=su2 -tetgen-options=pq1.16VY ToolOutput.smx command = [ soft_dict['sumo'], '-batch', output, options, sumo_file_path ] os.system(' '.join(command)) elif current_os == 'Windows': log.info('Your OS is Windows') # TODO: develop this part log.warning('OS not supported yet by SUMOAutoMesh!') raise OSError('OS not supported yet!') else: raise OSError('OS not recognize!') # Copy the mesh in the MESH directory aircraft_name = cpsf.aircraft_name(tixi) su2_mesh_name = aircraft_name + '_baseline.su2' su2_mesh_new_path = os.path.join(meshdir, su2_mesh_name) shutil.copyfile(su2_mesh_path, su2_mesh_new_path) if os.path.isfile(su2_mesh_new_path): log.info('An SU2 Mesh has been correctly generated.') su2_mesh_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/su2Mesh' cpsf.create_branch(tixi, su2_mesh_xpath) tixi.updateTextElement(su2_mesh_xpath, su2_mesh_new_path) os.remove(su2_mesh_path) else: raise ValueError('No SU2 Mesh file has been generated!') cpsf.close_tixi(tixi, cpacs_out_path) os.chdir(original_dir)
def main(): log.info("Running PyTornado...") # ===== CPACS inout and output paths ===== MODULE_DIR = os.path.dirname(os.path.abspath(__file__)) cpacs_in_path = mi.get_toolinput_file_path(MODULE_NAME) cpacs_out_path = mi.get_tooloutput_file_path(MODULE_NAME) # ===== Delete old working directories ===== settings_from_CPACS = get_pytornado_settings_from_CPACS(cpacs_in_path) if settings_from_CPACS is not None: if settings_from_CPACS.get('deleteOldWKDIRs', False): wkdirs = glob(os.path.join(DIR_MODULE, 'wkdir_*')) for wkdir in wkdirs: shutil.rmtree(wkdir, ignore_errors=True) # ===== Paths ===== dir_pyt_wkdir = os.path.join(DIR_MODULE, 'wkdir_temp') dir_pyt_aircraft = os.path.join(dir_pyt_wkdir, 'aircraft') dir_pyt_settings = os.path.join(dir_pyt_wkdir, 'settings') dir_pyt_results = os.path.join(dir_pyt_wkdir, '_results') file_pyt_aircraft = os.path.join(dir_pyt_aircraft, 'ToolInput.xml') file_pyt_settings = os.path.join(dir_pyt_settings, 'cpacs_run.json') # ===== Make directories ===== Path(dir_pyt_wkdir).mkdir(parents=True, exist_ok=True) Path(dir_pyt_aircraft).mkdir(parents=True, exist_ok=True) Path(dir_pyt_settings).mkdir(parents=True, exist_ok=True) Path(dir_pyt_results).mkdir(parents=True, exist_ok=True) # ===== Setup ===== shutil.copy(src=cpacs_in_path, dst=file_pyt_aircraft) mi.check_cpacs_input_requirements(cpacs_in_path) # ===== Get PyTornado settings ===== cpacs_settings = get_pytornado_settings(cpacs_in_path) with open(file_pyt_settings, "w") as fp: dump_pretty_json(cpacs_settings, fp) # ===== PyTornado analysis ===== pytornado = import_pytornado('pytornado.stdfun.run') #pytornado.standard_run(args=pytornado.StdRunArgs(run=file_pyt_settings, verbose=True)) results = pytornado.standard_run( args=pytornado.StdRunArgs(run=file_pyt_settings, verbose=True)) # ===== Extract load ===== tixi = cpsf.open_tixi(cpacs_in_path) extract_loads_xpath = '/cpacs/toolspecific/pytornado/save_results/extractLoads' extract_loads = cpsf.get_value_or_default(tixi, extract_loads_xpath, False) if extract_loads: _get_load_fields(results, dir_pyt_results) # ===== Clean up ===== shutil.copy(src=file_pyt_aircraft, dst=cpacs_out_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) dst_pyt_wkdir = os.path.join( wkdir, 'CFD', 'PyTornado', f"wkdir_{datetime.strftime(datetime.now(), '%F_%H%M%S')}") shutil.copytree(src=dir_pyt_wkdir, dst=dst_pyt_wkdir) shutil.rmtree(dir_pyt_wkdir, ignore_errors=True) log.info("PyTornado analysis completed")
def generate_config_deformed_mesh(cpacs_path, cpacs_out_path, skip_config=False, skip_su2=False): """Function to generate all deform meshes with SU2 from CPACS data Function 'generate_config_deformed_mesh' reads data in the CPACS file and generate all the corresponding directory and config file which allow to generate deformed meshes. Args: cpacs_path (str): Path to CPACS file cpacs_out_path (str):Path to CPACS output file skip_config (bool): skip_su2 (bool): """ tixi = cpsf.open_tixi(cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) # Get SU2 mesh path su2_mesh_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/su2Mesh' su2_mesh_path = cpsf.get_value(tixi, su2_mesh_xpath) if wkdir in su2_mesh_path: log.info('The Baseline SU2 mesh is already in the working directory.') else: mesh_dir = os.path.join(wkdir, 'MESH') if not os.path.isdir(mesh_dir): os.mkdir(mesh_dir) aircraft_name = cpsf.aircraft_name(tixi) su2_mesh_new_path = os.path.join(mesh_dir, aircraft_name + '_baseline.su2') shutil.copyfile(su2_mesh_path, su2_mesh_new_path) tixi.updateTextElement(su2_mesh_xpath, su2_mesh_new_path) if not skip_config: # Control surfaces deflections control_surf_xpath = SU2_XPATH + '/options/clalculateCotrolSurfacesDeflections' control_surf = cpsf.get_value_or_default(tixi, control_surf_xpath, False) if not control_surf: log.warning( 'The CPACS file indicate that Control surface deflection should not be calculated!' ) active_ted_list = [] else: ted_df = get_ted_list(tixi) # TODO: option to calculate only TED selected in cpacs # if ... # active_ted_xpath = SU2_XPATH + '/options/....' # # check element # active_ted_list = cpsf.get_string_vector(tixi,active_ted_xpath) # else: calculate all TED adn all deflections from CPACS # active_ted_list = ted_list for i, row in ted_df.iterrows(): # Unwrap TED data from the dataframe ted_uid = row['ted_uid'] wing_uid = row['wing_uid'] sym_dir = row['sym_dir'] defl_list = row['defl_list'] generate_mesh_def_config(tixi, wkdir, ted_uid, wing_uid, sym_dir, defl_list) if not skip_su2: run_mesh_deformation(tixi, wkdir) cpsf.close_tixi(tixi, cpacs_out_path)
def run_workflow(Otp): """ Run the complete Worflow Args: Opt (class): Cl cpacs_out_path (str): Path to the output CPACS file module_list (list): List of module to inclue in the GUI """ # Copy ToolInput.xml in ToolInput dir if not already there cpacs_path = mi.get_toolinput_file_path(MODULE_NAME) if not os.path.abspath(Opt.cpacs_path) == os.path.abspath(cpacs_path): shutil.copy(Opt.cpacs_path, cpacs_path) Opt.cpacs_path = os.path.abspath(cpacs_path) # Create a new wkdir tixi = cpsf.open_tixi(Opt.cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) cpsf.close_tixi(tixi, Opt.cpacs_path) # Run Pre-otimisation workflow if Opt.module_pre: wkf.run_subworkflow(Opt.module_pre, Opt.cpacs_path) if not Opt.module_optim and not Opt.module_post: shutil.copy(mi.get_tooloutput_file_path(Opt.module_pre[-1]), cpacs_path_out) # Run Optimisation workflow if Opt.module_optim: if Opt.module_pre: wkf.copy_module_to_module(Opt.module_pre[-1], 'out', 'Optimisation', 'in') else: wkf.copy_module_to_module('WorkflowCreator', 'in', 'Optimisation', 'in') if Opt.optim_method != 'None': routine_launcher(Opt) else: log.warning('No optimization method has been selected!') log.warning('The modules will be run as a simple workflow') wkf.run_subworkflow(Opt.module_optim) if not Opt.module_post: shutil.copy(mi.get_tooloutput_file_path(Opt.module_optim[-1]), cpacs_path_out) # Run Post-optimisation workflow if Opt.module_post: if Opt.module_optim: wkf.copy_module_to_module(Opt.module_optim[-1], 'out', Opt.module_post[0], 'in') elif Opt.module_pre: wkf.copy_module_to_module(Opt.module_pre[-1], 'out', Opt.module_post[0], 'in') else: wkf.copy_module_to_module('WorkflowCreator', 'in', Opt.module_post[0], 'in') # wkf.copy_module_to_module('CPACSUpdater','out',Opt.module_post[0],'in') usefuel? wkf.run_subworkflow(Opt.module_post) shutil.copy(mi.get_tooloutput_file_path(Opt.module_post[-1]), cpacs_path_out)
def convert_cpacs_to_sumo(cpacs_path, cpacs_out_path): """ Function to convert a CPACS file geometry into a SUMO file geometry. Function 'convert_cpacs_to_sumo' open an input cpacs file with TIXI handle and via two main loop, one for fuselage(s), one for wing(s) it convert every element (as much as possible) in the SUMO (.smx) format, which is also an xml file. Due to some differences between both format, some CPACS definition could lead to issues. The output sumo file is saved in the folder /ToolOutput Source: * CPACS documentation: https://www.cpacs.de/pages/documentation.html Args: cpacs_path (str): Path to the CPACS file Returns: sumo_output_path (str): Path to the SUMO file """ EMPTY_SMX = MODULE_DIR + '/files/sumo_empty.smx' tixi = cpsf.open_tixi(cpacs_path) sumo = cpsf.open_tixi(EMPTY_SMX) # Fuslage(s) ----- FUSELAGES_XPATH = '/cpacs/vehicles/aircraft/model/fuselages' if tixi.checkElement(FUSELAGES_XPATH): fus_cnt = tixi.getNamedChildrenCount(FUSELAGES_XPATH, 'fuselage') log.info(str(fus_cnt) + ' fuselage has been found.') else: fus_cnt = 0 log.warning('No fuselage has been found in this CPACS file!') for i_fus in range(fus_cnt): fus_xpath = FUSELAGES_XPATH + '/fuselage[' + str(i_fus + 1) + ']' fus_uid = tixi.getTextAttribute(fus_xpath, 'uID') fus_transf = Transformation() fus_transf.get_cpacs_transf(tixi, fus_xpath + '/transformation') # Create new body (SUMO) sumo.createElementAtIndex('/Assembly', 'BodySkeleton', i_fus + 1) body_xpath = '/Assembly/BodySkeleton[' + str(i_fus + 1) + ']' sumo.addTextAttribute(body_xpath, 'akimatg', 'false') sumo.addTextAttribute(body_xpath, 'name', fus_uid) body_tansf = Transformation() body_tansf.translation = fus_transf.translation # Convert angles body_tansf.rotation = euler2fix(fus_transf.rotation) # Add body rotation body_rot_str = str(math.radians(body_tansf.rotation.x)) + ' ' \ + str(math.radians(body_tansf.rotation.y)) + ' ' \ + str(math.radians(body_tansf.rotation.z)) sumo.addTextAttribute(body_xpath, 'rotation', body_rot_str) # Add body origin body_ori_str = str(body_tansf.translation.x) + ' ' \ + str(body_tansf.translation.y) + ' ' \ + str(body_tansf.translation.z) sumo.addTextAttribute(body_xpath, 'origin', body_ori_str) # Positionings if tixi.checkElement(fus_xpath + '/positionings'): pos_cnt = tixi.getNamedChildrenCount(fus_xpath + '/positionings', 'positioning') log.info(str(fus_cnt) + ' "Positionning" has been found : ') pos_x_list = [] pos_y_list = [] pos_z_list = [] from_sec_list = [] to_sec_list = [] for i_pos in range(pos_cnt): pos_xpath = fus_xpath + '/positionings/positioning[' \ + str(i_pos+1) + ']' length = tixi.getDoubleElement(pos_xpath + '/length') sweep_deg = tixi.getDoubleElement(pos_xpath + '/sweepAngle') sweep = math.radians(sweep_deg) dihedral_deg = tixi.getDoubleElement(pos_xpath + '/dihedralAngle') dihedral = math.radians(dihedral_deg) # Get the corresponding translation of each positionning pos_x_list.append(length * math.sin(sweep)) pos_y_list.append(length * math.cos(dihedral) * math.cos(sweep)) pos_z_list.append(length * math.sin(dihedral) * math.cos(sweep)) # Get which section are connected by the positionning if tixi.checkElement(pos_xpath + '/fromSectionUID'): from_sec = tixi.getTextElement(pos_xpath + '/fromSectionUID') else: from_sec = '' from_sec_list.append(from_sec) if tixi.checkElement(pos_xpath + '/toSectionUID'): to_sec = tixi.getTextElement(pos_xpath + '/toSectionUID') else: to_sec = '' to_sec_list.append(to_sec) # Re-loop though the positionning to re-order them for j_pos in range(pos_cnt): if from_sec_list[j_pos] == '': prev_pos_x = 0 prev_pos_y = 0 prev_pos_z = 0 elif from_sec_list[j_pos] == to_sec_list[j_pos - 1]: prev_pos_x = pos_x_list[j_pos - 1] prev_pos_y = pos_y_list[j_pos - 1] prev_pos_z = pos_z_list[j_pos - 1] else: index_prev = to_sec_list.index(from_sec_list[j_pos]) prev_pos_x = pos_x_list[index_prev] prev_pos_y = pos_y_list[index_prev] prev_pos_z = pos_z_list[index_prev] pos_x_list[j_pos] += prev_pos_x pos_y_list[j_pos] += prev_pos_y pos_z_list[j_pos] += prev_pos_z else: log.warning('No "positionings" have been found!') pos_cnt = 0 #Sections sec_cnt = tixi.getNamedChildrenCount(fus_xpath + '/sections', 'section') log.info(" -" + str(sec_cnt) + ' fuselage sections have been found') if pos_cnt == 0: pos_x_list = [0.0] * sec_cnt pos_y_list = [0.0] * sec_cnt pos_z_list = [0.0] * sec_cnt for i_sec in range(sec_cnt): sec_xpath = fus_xpath + '/sections/section[' + str(i_sec + 1) + ']' sec_uid = tixi.getTextAttribute(sec_xpath, 'uID') sec_transf = Transformation() sec_transf.get_cpacs_transf(tixi, sec_xpath + '/transformation') if (sec_transf.rotation.x or sec_transf.rotation.y or sec_transf.rotation.z): log.warning('Sections "' + sec_uid + '" is rotated, it is \ not possible to take that into acount in SUMO !') # Elements elem_cnt = tixi.getNamedChildrenCount(sec_xpath + '/elements', 'element') if elem_cnt > 1: log.warning("Sections " + sec_uid + " contains multiple \ element, it could be an issue for the conversion \ to SUMO!") for i_elem in range(elem_cnt): elem_xpath = sec_xpath + '/elements/element[' \ + str(i_elem + 1) + ']' elem_uid = tixi.getTextAttribute(elem_xpath, 'uID') elem_transf = Transformation() elem_transf.get_cpacs_transf(tixi, elem_xpath + '/transformation') if (elem_transf.rotation.x or elem_transf.rotation.y or elem_transf.rotation.z): log.warning('Element "' + elem_uid + '" is rotated, it \ is not possible to take that into acount in \ SUMO !') # Fuselage profiles prof_uid = tixi.getTextElement(elem_xpath + '/profileUID') prof_xpath = tixi.uIDGetXPath(prof_uid) prof_vect_x_str = tixi.getTextElement(prof_xpath + '/pointList/x') prof_vect_y_str = tixi.getTextElement(prof_xpath + '/pointList/y') prof_vect_z_str = tixi.getTextElement(prof_xpath + '/pointList/z') # Transform sting into list of float prof_vect_x = [] for i, item in enumerate(prof_vect_x_str.split(';')): if item: prof_vect_x.append(float(item)) prof_vect_y = [] for i, item in enumerate(prof_vect_y_str.split(';')): if item: prof_vect_y.append(float(item)) prof_vect_z = [] for i, item in enumerate(prof_vect_z_str.split(';')): if item: prof_vect_z.append(float(item)) prof_size_y = (max(prof_vect_y) - min(prof_vect_y)) / 2 prof_size_z = (max(prof_vect_z) - min(prof_vect_z)) / 2 prof_vect_y[:] = [y / prof_size_y for y in prof_vect_y] prof_vect_z[:] = [z / prof_size_z for z in prof_vect_z] prof_min_y = min(prof_vect_y) prof_max_y = max(prof_vect_y) prof_min_z = min(prof_vect_z) prof_max_z = max(prof_vect_z) prof_vect_y[:] = [y - 1 - prof_min_y for y in prof_vect_y] prof_vect_z[:] = [z - 1 - prof_min_z for z in prof_vect_z] # Could be a problem if they are less positionings than secions # TODO: solve that! pos_y_list[i_sec] += ( (1 + prof_min_y) * prof_size_y) * elem_transf.scale.y pos_z_list[i_sec] += ( (1 + prof_min_z) * prof_size_z) * elem_transf.scale.z # #To Plot a particular section # if i_sec==5: # plt.plot(prof_vect_z, prof_vect_y,'x') # plt.xlabel('y') # plt.ylabel('z') # plt.grid(True) # plt.show # Put value in SUMO format body_frm_center_x = ( elem_transf.translation.x \ + sec_transf.translation.x \ + pos_x_list[i_sec]) \ * fus_transf.scale.x body_frm_center_y = ( elem_transf.translation.y \ * sec_transf.scale.y \ + sec_transf.translation.y \ + pos_y_list[i_sec]) \ * fus_transf.scale.y body_frm_center_z = ( elem_transf.translation.z \ * sec_transf.scale.z \ + sec_transf.translation.z \ + pos_z_list[i_sec]) \ * fus_transf.scale.z body_frm_height = prof_size_z * 2 * elem_transf.scale.z \ * sec_transf.scale.z * fus_transf.scale.z if body_frm_height < 0.01: body_frm_height = 0.01 body_frm_width = prof_size_y * 2 * elem_transf.scale.y \ * sec_transf.scale.y * fus_transf.scale.y if body_frm_width < 0.01: body_frm_width = 0.01 # Convert the profile points in the SMX format prof_str = '' teta_list = [] teta_half = [] prof_vect_y_half = [] prof_vect_z_half = [] check_max = 0 check_min = 0 # Use polar angle to keep point in the correct order for i, item in enumerate(prof_vect_y): teta_list.append(math.atan2(prof_vect_z[i], prof_vect_y[i])) for t, teta in enumerate(teta_list): HALF_PI = math.pi / 2 EPSILON = 0.04 if abs(teta) <= HALF_PI - EPSILON: teta_half.append(teta) prof_vect_y_half.append(prof_vect_y[t]) prof_vect_z_half.append(prof_vect_z[t]) elif abs(teta) < HALF_PI + EPSILON: # Check if not the last element of the list if not t == len(teta_list) - 1: next_val = prof_vect_z[t + 1] # Check if it is better to keep next point if not abs(next_val) > abs(prof_vect_z[t]): if prof_vect_z[t] > 0 and not check_max: teta_half.append(teta) # Force y=0, to get symmetrical profile prof_vect_y_half.append(0) prof_vect_z_half.append(prof_vect_z[t]) check_max = 1 elif prof_vect_z[t] < 0 and not check_min: teta_half.append(teta) # Force y=0, to get symmetrical profile prof_vect_y_half.append(0) prof_vect_z_half.append(prof_vect_z[t]) check_min = 1 # Sort points by teta value, to fit the SUMO profile format teta_half, prof_vect_z_half, prof_vect_y_half = \ (list(t) for t in zip(*sorted(zip(teta_half, prof_vect_z_half, prof_vect_y_half)))) # Write profile as a string and add y=0 point at the begining # and at the end to ensure symmmetry if not check_min: prof_str += str(0) + ' ' + str(prof_vect_z_half[0]) + ' ' for i, item in enumerate(prof_vect_z_half): prof_str += str(round(prof_vect_y_half[i], 4)) + ' ' \ + str(round(prof_vect_z_half[i], 4)) + ' ' if not check_max: prof_str += str(0) + ' ' + str(prof_vect_z_half[i]) + ' ' # Write the SUMO file sumo.addTextElementAtIndex(body_xpath, 'BodyFrame', prof_str, i_sec + 1) frame_xpath = body_xpath + '/BodyFrame[' + str(i_sec + 1) + ']' body_center_str = str(body_frm_center_x) + ' ' + \ str(body_frm_center_y) + ' ' + \ str(body_frm_center_z) sumo.addTextAttribute(frame_xpath, 'center', body_center_str) sumo.addTextAttribute(frame_xpath, 'height', str(body_frm_height)) sumo.addTextAttribute(frame_xpath, 'width', str(body_frm_width)) sumo.addTextAttribute(frame_xpath, 'name', sec_uid) # To remove the default BodySkeleton if fus_cnt == 0: sumo.removeElement('/Assembly/BodySkeleton') else: sumo.removeElement('/Assembly/BodySkeleton[' + str(fus_cnt + 1) + ']') # Wing(s) ----- WINGS_XPATH = '/cpacs/vehicles/aircraft/model/wings' if tixi.checkElement(WINGS_XPATH): wing_cnt = tixi.getNamedChildrenCount(WINGS_XPATH, 'wing') log.info(str(wing_cnt) + ' wings has been found.') else: wing_cnt = 0 log.warning('No wings has been found in this CPACS file!') for i_wing in range(wing_cnt): wing_xpath = WINGS_XPATH + '/wing[' + str(i_wing + 1) + ']' wing_uid = tixi.getTextAttribute(wing_xpath, 'uID') wing_transf = Transformation() wing_transf.get_cpacs_transf(tixi, wing_xpath + '/transformation') # Create new wing (SUMO) sumo.createElementAtIndex('/Assembly', 'WingSkeleton', i_wing + 1) wg_sk_xpath = '/Assembly/WingSkeleton[' + str(i_wing + 1) + ']' sumo.addTextAttribute(wg_sk_xpath, 'akimatg', 'false') sumo.addTextAttribute(wg_sk_xpath, 'name', wing_uid) # Create a class for the transformation of the WingSkeleton wg_sk_tansf = Transformation() # Convert WingSkeleton rotation and add it to SUMO wg_sk_tansf.rotation = euler2fix(wing_transf.rotation) wg_sk_rot_str = str(math.radians(wg_sk_tansf.rotation.x)) + ' ' \ + str(math.radians(wg_sk_tansf.rotation.y)) + ' ' \ + str(math.radians(wg_sk_tansf.rotation.z)) sumo.addTextAttribute(wg_sk_xpath, 'rotation', wg_sk_rot_str) # Add WingSkeleton origin wg_sk_tansf.translation = wing_transf.translation wg_sk_ori_str = str(wg_sk_tansf.translation.x) + ' ' \ + str(wg_sk_tansf.translation.y) + ' ' \ + str(wg_sk_tansf.translation.z) sumo.addTextAttribute(wg_sk_xpath, 'origin', wg_sk_ori_str) if tixi.checkAttribute(wing_xpath, 'symmetry'): if tixi.getTextAttribute(wing_xpath, 'symmetry') == 'x-z-plane': sumo.addTextAttribute(wg_sk_xpath, 'flags', 'autosym,detectwinglet') else: sumo.addTextAttribute(wg_sk_xpath, 'flags', 'detectwinglet') # Positionings if tixi.checkElement(wing_xpath + '/positionings'): pos_cnt = tixi.getNamedChildrenCount(wing_xpath + '/positionings', 'positioning') log.info(str(wing_cnt) + ' "positionning" has been found : ') pos_x_list = [] pos_y_list = [] pos_z_list = [] from_sec_list = [] to_sec_list = [] for i_pos in range(pos_cnt): pos_xpath = wing_xpath + '/positionings/positioning[' \ + str(i_pos+1) + ']' length = tixi.getDoubleElement(pos_xpath + '/length') sweep_deg = tixi.getDoubleElement(pos_xpath + '/sweepAngle') sweep = math.radians(sweep_deg) dihedral_deg = tixi.getDoubleElement(pos_xpath + '/dihedralAngle') dihedral = math.radians(dihedral_deg) # Get the corresponding translation of each positionning pos_x_list.append(length * math.sin(sweep)) pos_y_list.append(length * math.cos(dihedral) * math.cos(sweep)) pos_z_list.append(length * math.sin(dihedral) * math.cos(sweep)) # Get which section are connected by the positionning if tixi.checkElement(pos_xpath + '/fromSectionUID'): from_sec = tixi.getTextElement(pos_xpath + '/fromSectionUID') else: from_sec = '' from_sec_list.append(from_sec) if tixi.checkElement(pos_xpath + '/toSectionUID'): to_sec = tixi.getTextElement(pos_xpath + '/toSectionUID') else: to_sec = '' to_sec_list.append(to_sec) # Re-loop though the positionning to re-order them for j_pos in range(pos_cnt): if from_sec_list[j_pos] == '': prev_pos_x = 0 prev_pos_y = 0 prev_pos_z = 0 elif from_sec_list[j_pos] == to_sec_list[j_pos - 1]: prev_pos_x = pos_x_list[j_pos - 1] prev_pos_y = pos_y_list[j_pos - 1] prev_pos_z = pos_z_list[j_pos - 1] else: index_prev = to_sec_list.index(from_sec_list[j_pos]) prev_pos_x = pos_x_list[index_prev] prev_pos_y = pos_y_list[index_prev] prev_pos_z = pos_z_list[index_prev] pos_x_list[j_pos] += prev_pos_x pos_y_list[j_pos] += prev_pos_y pos_z_list[j_pos] += prev_pos_z else: log.warning('No "positionings" have been found!') pos_cnt = 0 #Sections sec_cnt = tixi.getNamedChildrenCount(wing_xpath + '/sections', 'section') log.info(" -" + str(sec_cnt) + ' wing sections have been found') wing_sec_index = 1 if pos_cnt == 0: pos_x_list = [0.0] * sec_cnt pos_y_list = [0.0] * sec_cnt pos_z_list = [0.0] * sec_cnt for i_sec in reversed(range(sec_cnt)): sec_xpath = wing_xpath + '/sections/section[' + str(i_sec + 1) + ']' sec_uid = tixi.getTextAttribute(sec_xpath, 'uID') sec_transf = Transformation() sec_transf.get_cpacs_transf(tixi, sec_xpath + '/transformation') # Elements elem_cnt = tixi.getNamedChildrenCount(sec_xpath + '/elements', 'element') if elem_cnt > 1: log.warning("Sections " + sec_uid + " contains multiple \ element, it could be an issue for the conversion \ to SUMO!") for i_elem in range(elem_cnt): elem_xpath = sec_xpath + '/elements/element[' \ + str(i_elem + 1) + ']' elem_uid = tixi.getTextAttribute(elem_xpath, 'uID') elem_transf = Transformation() elem_transf.get_cpacs_transf(tixi, elem_xpath + '/transformation') # Wing profile (airfoil) prof_uid = tixi.getTextElement(elem_xpath + '/airfoilUID') prof_xpath = tixi.uIDGetXPath(prof_uid) try: tixi.checkElement(prof_xpath) except: log.error('No profile "' + prof_uid + '" has been found!') prof_vect_x_str = tixi.getTextElement(prof_xpath + '/pointList/x') prof_vect_y_str = tixi.getTextElement(prof_xpath + '/pointList/y') prof_vect_z_str = tixi.getTextElement(prof_xpath + '/pointList/z') # Transform airfoil points (string) into list of float prof_vect_x = [] for i, item in enumerate(prof_vect_x_str.split(';')): if item: prof_vect_x.append(float(item)) prof_vect_y = [] for i, item in enumerate(prof_vect_y_str.split(';')): if item: prof_vect_y.append(float(item)) prof_vect_z = [] for i, item in enumerate(prof_vect_z_str.split(';')): if item: prof_vect_z.append(float(item)) if sum(prof_vect_z[0:len(prof_vect_z)//2]) \ < sum(prof_vect_z[len(prof_vect_z)//2:-1]): log.info("Airfoil's points will be reversed.") tmp_vect_x = [] tmp_vect_y = [] tmp_vect_z = [] for i in range(len(prof_vect_x)): tmp_vect_x.append(prof_vect_x[len(prof_vect_x) - 1 - i]) tmp_vect_y.append(prof_vect_y[len(prof_vect_y) - 1 - i]) tmp_vect_z.append(prof_vect_z[len(prof_vect_z) - 1 - i]) prof_vect_x = tmp_vect_x prof_vect_y = tmp_vect_y prof_vect_z = tmp_vect_z # Apply scaling for i, item in enumerate(prof_vect_x): prof_vect_x[i] = item * elem_transf.scale.x \ * sec_transf.scale.x * wing_transf.scale.x for i, item in enumerate(prof_vect_y): prof_vect_y[i] = item * elem_transf.scale.y \ * sec_transf.scale.y * wing_transf.scale.y for i, item in enumerate(prof_vect_z): prof_vect_z[i] = item * elem_transf.scale.z \ * sec_transf.scale.z * wing_transf.scale.z # if (i_sec>8 and i_sec<=10): # plt.plot(prof_vect_x, prof_vect_z,'x') # plt.xlabel('x') # plt.ylabel('z') # plt.grid(True) # plt.show() prof_size_x = (max(prof_vect_x) - min(prof_vect_x)) prof_size_y = (max(prof_vect_y) - min(prof_vect_y)) prof_size_z = (max(prof_vect_z) - min(prof_vect_z)) if prof_size_y == 0: prof_vect_x[:] = [x / prof_size_x for x in prof_vect_x] prof_vect_z[:] = [z / prof_size_x for z in prof_vect_z] # Is it correct to divide by prof_size_x ???? wg_sec_chord = prof_size_x else: log.error("An airfoil profile is not define correctly") # SUMO variable for WingSection wg_sec_center_x = ( elem_transf.translation.x \ + sec_transf.translation.x \ + pos_x_list[i_sec]) \ * wing_transf.scale.x wg_sec_center_y = ( elem_transf.translation.y \ * sec_transf.scale.y \ + sec_transf.translation.y \ + pos_y_list[i_sec]) \ * wing_transf.scale.y wg_sec_center_z = ( elem_transf.translation.z \ * sec_transf.scale.z \ + sec_transf.translation.z \ + pos_z_list[i_sec]) \ * wing_transf.scale.z # Add roation from element and sections # Adding the two angles: Maybe not work in every case!!! add_rotation = SimpleNamespace() add_rotation.x = elem_transf.rotation.x + sec_transf.rotation.x add_rotation.y = elem_transf.rotation.y + sec_transf.rotation.y add_rotation.z = elem_transf.rotation.z + sec_transf.rotation.z # Get Section rotation for SUMO wg_sec_rot = euler2fix(add_rotation) wg_sec_dihed = math.radians(wg_sec_rot.x) wg_sec_twist = math.radians(wg_sec_rot.y) wg_sec_yaw = math.radians(wg_sec_rot.z) # Convert point list into string prof_str = '' # Airfoil points order : shoud be from TE (1 0) to LE (0 0) # then TE(1 0), but not reverse way. # to avoid double zero, not accepted by SUMO for i, item in (enumerate(prof_vect_x)): # if not (prof_vect_x[i] == prof_vect_x[i-1] or \ # round(prof_vect_z[i],4) == round(prof_vect_z[i-1],4)): if round(prof_vect_z[i], 4) != round( prof_vect_z[i - 1], 4): prof_str += str(round(prof_vect_x[i], 4)) + ' ' \ + str(round(prof_vect_z[i], 4)) + ' ' sumo.addTextElementAtIndex(wg_sk_xpath, 'WingSection', prof_str, wing_sec_index) wg_sec_xpath = wg_sk_xpath + '/WingSection[' \ + str(wing_sec_index) + ']' sumo.addTextAttribute(wg_sec_xpath, 'airfoil', prof_uid) sumo.addTextAttribute(wg_sec_xpath, 'name', sec_uid) wg_sec_center_str = str(wg_sec_center_x) + ' ' + \ str(wg_sec_center_y) + ' ' + \ str(wg_sec_center_z) sumo.addTextAttribute(wg_sec_xpath, 'center', wg_sec_center_str) sumo.addTextAttribute(wg_sec_xpath, 'chord', str(wg_sec_chord)) sumo.addTextAttribute(wg_sec_xpath, 'dihedral', str(wg_sec_dihed)) sumo.addTextAttribute(wg_sec_xpath, 'twist', str(wg_sec_twist)) sumo.addTextAttribute(wg_sec_xpath, 'yaw', str(wg_sec_yaw)) sumo.addTextAttribute(wg_sec_xpath, 'napprox', '-1') sumo.addTextAttribute(wg_sec_xpath, 'reversed', 'false') sumo.addTextAttribute(wg_sec_xpath, 'vbreak', 'false') wing_sec_index += 1 # Add Wing caps sumo.createElementAtIndex(wg_sk_xpath, "Cap", 1) sumo.addTextAttribute(wg_sk_xpath + '/Cap[1]', 'height', '0') sumo.addTextAttribute(wg_sk_xpath + '/Cap[1]', 'shape', 'LongCap') sumo.addTextAttribute(wg_sk_xpath + '/Cap[1]', 'side', 'south') sumo.createElementAtIndex(wg_sk_xpath, 'Cap', 2) sumo.addTextAttribute(wg_sk_xpath + '/Cap[2]', 'height', '0') sumo.addTextAttribute(wg_sk_xpath + '/Cap[2]', 'shape', 'LongCap') sumo.addTextAttribute(wg_sk_xpath + '/Cap[2]', 'side', 'north') # Save the SMX file wkdir = ceaf.get_wkdir_or_create_new(tixi) sumo_file_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/sumoFilePath' sumo_dir = os.path.join(wkdir, 'SUMO') sumo_file_path = os.path.join(sumo_dir, 'ToolOutput.smx') if not os.path.isdir(sumo_dir): os.mkdir(sumo_dir) cpsf.create_branch(tixi, sumo_file_xpath) tixi.updateTextElement(sumo_file_xpath, sumo_file_path) cpsf.close_tixi(tixi, cpacs_out_path) cpsf.close_tixi(sumo, sumo_file_path)
def create_SU2_mesh(cpacs_path, cpacs_out_path): """ Function to create a simple SU2 mesh form an SUMO file (.smx) Function 'create_mesh' is used to generate an unstructured mesh with SUMO (which integrage Tetgen for the volume mesh) using a SUMO (.smx) geometry file as input. Meshing option could be change manually (only in the script for now) Source : * sumo help, tetgen help (in the folder /doc) Args: cpacs_path (str): Path to the CPACS file cpacs_out_path (str): Path to the output CPACS file """ tixi = cpsf.open_tixi(cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) sumo_dir = os.path.join(wkdir, 'SUMO') if not os.path.isdir(sumo_dir): os.mkdir(sumo_dir) mesh_dir = os.path.join(wkdir, 'MESH') if not os.path.isdir(mesh_dir): os.mkdir(mesh_dir) original_dir = os.getcwd() os.chdir(sumo_dir) sumo_file_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/sumoFilePath' sumo_file_path = cpsf.get_value_or_default(tixi, sumo_file_xpath, '') if sumo_file_path == '': raise ValueError('No SUMO file to use to create a mesh') # Check if SUMO is installed soft_dict = ceaf.get_install_path(['sumo']) # Run SUMO to create a create a mesh # sumo - batch -output=su2 -tetgen-options=pq1.16VY mesh.smx sumo_output = '-output=su2' # For now, must be SU2 tetgen_options = '-tetgen-options=pq1.16VY' # See Tetgen help for more options, maybe transform that as an input command_line = [ soft_dict['sumo'], '-batch', sumo_output, tetgen_options, sumo_file_path ] # print(' '.join(command_line)) os.system(' '.join(command_line)) # Copy the mesh in the MESH directory su2_mesh_path = os.path.join(sumo_dir, 'ToolOutput.su2') aircraft_name = cpsf.aircraft_name(tixi) su2_mesh_name = aircraft_name + '_baseline.su2' su2_mesh_new_path = os.path.join(mesh_dir, su2_mesh_name) shutil.copyfile(su2_mesh_path, su2_mesh_new_path) if os.path.isfile(su2_mesh_new_path): log.info('An SU2 Mesh has been correctly generated.') su2_mesh_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/su2Mesh' cpsf.create_branch(tixi, su2_mesh_xpath) tixi.updateTextElement(su2_mesh_xpath, su2_mesh_new_path) os.remove(su2_mesh_path) else: raise ValueError('No SU2 Mesh file has been generated!') cpsf.close_tixi(tixi, cpacs_out_path) os.chdir(original_dir)
def create_SU2_mesh(cpacs_path, cpacs_out_path): """ Function to create a simple SU2 mesh form an SUMO file (.smx) Function 'create_mesh' is used to generate an unstructured mesh with SUMO (which integrage Tetgen for the volume mesh) using a SUMO (.smx) geometry file as input. Meshing option could be change manually (only in the script for now) Source : * sumo help, tetgen help (in the folder /doc) Args: cpacs_path (str): Path to the CPACS file cpacs_out_path (str): Path to the output CPACS file """ tixi = cpsf.open_tixi(cpacs_path) wkdir = ceaf.get_wkdir_or_create_new(tixi) sumo_dir = os.path.join(wkdir, 'SUMO') if not os.path.isdir(sumo_dir): os.mkdir(sumo_dir) mesh_dir = os.path.join(wkdir, 'MESH') if not os.path.isdir(mesh_dir): os.mkdir(mesh_dir) original_dir = os.getcwd() os.chdir(sumo_dir) sumo_file_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/sumoFilePath' sumo_file_path = cpsf.get_value_or_default(tixi, sumo_file_xpath, '') if sumo_file_path == '': raise ValueError('No SUMO file to use to create a mesh') # Check current Operating System current_os = platform.system() if current_os == 'Darwin': log.info('Your OS is Mac') # TODO: chck install path log.info('On Mac the mesh has to be generated manually.') log.info('You can find your geometry there:') log.info(sumo_file_path) # For now, I did find a way to run sumo -batch on Mac... # The command just open SUMO GUI command_line = ['open', '/Applications/SUMO/dwfsumo.app/'] os.system(' '.join(command_line)) elif current_os == 'Linux': log.info('Your OS is Linux') # Check if SUMO is installed soft_dict = ceaf.get_install_path(['sumo']) # Run SUMO to create a create a mesh # sumo -batch -output=su2 -tetgen-options=pq1.16VY mesh.smx sumo_output = '-output=su2' tetgen_options = '-tetgen-options=pq1.16VY' # See Tetgen help for more options, maybe transform that as an input command_line = [ soft_dict['sumo'], '-batch', sumo_output, tetgen_options, sumo_file_path ] os.system(' '.join(command_line)) elif current_os == 'Windwos': log.info('Your OS is Windows') log.warning('OS not supported yet by SUMOAutoMesh!') # TODO else: raise OSError('OS not recognize!') # Copy the mesh in the MESH directory su2_mesh_path = os.path.join(sumo_dir, 'ToolOutput.su2') aircraft_name = cpsf.aircraft_name(tixi) su2_mesh_name = aircraft_name + '_baseline.su2' su2_mesh_new_path = os.path.join(mesh_dir, su2_mesh_name) shutil.copyfile(su2_mesh_path, su2_mesh_new_path) if os.path.isfile(su2_mesh_new_path): log.info('An SU2 Mesh has been correctly generated.') su2_mesh_xpath = '/cpacs/toolspecific/CEASIOMpy/filesPath/su2Mesh' cpsf.create_branch(tixi, su2_mesh_xpath) tixi.updateTextElement(su2_mesh_xpath, su2_mesh_new_path) os.remove(su2_mesh_path) else: raise ValueError('No SU2 Mesh file has been generated!') cpsf.close_tixi(tixi, cpacs_out_path) os.chdir(original_dir)