diff --git a/examples/scripts/sellar_problem/(X)DSM/RCG.pdf b/examples/scripts/sellar_problem/(X)DSM/RCG.pdf
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Binary files a/examples/scripts/sellar_problem/(X)DSM/RCG.pdf and /dev/null differ
diff --git a/examples/scripts/ssbj.py b/examples/scripts/ssbj.py
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--- a/examples/scripts/ssbj.py
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-# Imports
-import os
-import logging
-
-from kadmos.graph import FundamentalProblemGraph, load
-
-# Settings for logging
-logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.DEBUG)
-
-# List of MDAO definitions that can be wrapped around the problem
-mdao_definitions = ['MDF-GS', # 0
- 'MDF-J', # 1
- 'IDF', # 2
- 'CO', # 3
- 'BLISS-2000'] # 4
-
-# Settings for scripting
-mdao_definitions_loop_all = True # Option for looping through all MDAO definitions
-mdao_definition_id = 2 # Option for selecting a MDAO definition (in case mdao_definitions_loop_all=False)
-
-# Settings for loading and saving
-kb_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), '../knowledgebases')
-pdf_dir = 'ssbj/(X)DSM'
-cmdows_dir = 'ssbj/CMDOWS'
-kdms_dir = 'ssbj/KDMS'
-vistoms_dir = 'ssbj/VISTOMS'
-
-print('Loading repository connectivity graph...')
-
-rcg = load(os.path.join(kb_dir, 'ssbj', 'ssbj_toolrepo_cmdows.xml'),
- check_list=['consistent_root', 'invalid_leaf_elements', 'schemas'])
-
-print('Scripting RCG...')
-
-# A name and a description are added to the graph
-rcg.graph['name'] = 'RCG'
-rcg.graph['description'] = 'Repository of the super-sonic business jet test case optimization problem'
-
-function_order = ['Structures', 'Aerodynamics', 'Propulsion', 'Performance']
-rcg.create_dsm('RCG_basic', include_system_vars=True, destination_folder=pdf_dir, function_order=function_order)
-
-# Add the constraint functions
-# Sigmas
-sigmas = [node for node in rcg.find_all_nodes(category='variable') if 'sigma' in node]
-sigmas.sort()
-sigma_labels = [sigma.split('/')[-1] for sigma in sigmas]
-c_sigma_prefix = '/data_schema/mdo_data/constraints/sigmas'
-c_sigmas = ['{}/sigma{}'.format(c_sigma_prefix, idx+1) for (idx, _) in enumerate(sigmas)]
-rcg.add_mathematical_function([[item[0], item[1]] for item in zip(sigmas, sigma_labels)],
- 'C[sigmas]',
- [[item[0], '{}/1.0'.format(item[1]), 'Python'] for item in zip(c_sigmas, sigma_labels)])
-
-# Theta
-theta = [node for node in rcg.find_all_nodes(category='variable') if node.endswith('/Theta')]
-theta_label = theta[0].split('/')[-1]
-c_theta = '/data_schema/mdo_data/constraints/Theta'
-rcg.add_mathematical_function([[theta[0], theta_label]],
- 'C[Theta]',
- [[c_theta, '{}/1.0'.format(theta_label), 'Python']])
-
-# dpdx
-dpdx = [node for node in rcg.find_all_nodes(category='variable') if node.endswith('/dpdx')]
-dpdx_label = dpdx[0].split('/')[-1]
-c_dpdx = '/data_schema/mdo_data/constraints/dpdx'
-rcg.add_mathematical_function([[dpdx[0], dpdx_label]],
- 'C[dpdx]',
- [[c_dpdx, '{}/1.0'.format(dpdx_label), 'Python']])
-
-# prop
-ESF = [node for node in rcg.find_all_nodes(category='variable') if node.endswith('/ESF')]
-DT = [node for node in rcg.find_all_nodes(category='variable') if node.endswith('/DT')]
-Temp = [node for node in rcg.find_all_nodes(category='variable') if node.endswith('/Temp')]
-prop_nodes = ESF + DT + Temp
-prop_labels = [prop.split('/')[-1] for prop in prop_nodes]
-c_prop_prefix = '/data_schema/mdo_data/constraints/propulsion'
-c_props = ['{}/{}'.format(c_prop_prefix, prop_label) for prop_label in prop_labels]
-rcg.add_mathematical_function([[item[0], item[1]] for item in zip(prop_nodes, prop_labels)],
- 'C[prop]',
- [[item[0], '{}/1.0'.format(item[1]), 'Python'] for item in zip(c_props, prop_labels)])
-
-# Add some (optional) organization information
-rcg.add_contact('Imco van Gent', 'i.vangent@tudelft.nl', 'ivangent', company='TU Delft', roles=['architect',
- 'integrator'])
-rcg.add_contact('Lukas Muller', 'l.muller@student.tudelft.nl', 'lmuller', company='TU Delft', roles='architect')
-rcg.add_contact_roles('ivangent', roles='integrator')
-
-
-# Add the objective
-R = [node for node in rcg.find_all_nodes(category='variable') if node.endswith('/R')]
-R_label = R[0].split('/')[-1]
-f_R = '/data_schema/mdo_data/objectives/R'
-rcg.add_mathematical_function([[R[0], R_label]], 'F[R]', [[f_R, '-{}'.format(R_label), 'Python']])
-
-function_order = ['Structures', 'Aerodynamics', 'Propulsion', 'Performance',
- 'C[sigmas]', 'C[Theta]', 'C[dpdx]', 'C[prop]', 'F[R]']
-
-# Create a DSM and a VISTOMS visualization of the RCG
-rcg.create_dsm('RCG_extended', include_system_vars=True, destination_folder=pdf_dir, function_order=function_order)
-rcg.vistoms_create(vistoms_dir, function_order=function_order)
-
-# Save CMDOWS and KDMS file
-rcg.save('RCG', destination_folder=kdms_dir)
-rcg.save('RCG',
- file_type='cmdows',
- description='RCG CMDOWS file of the super-sonic business jet test case optimization problem',
- creator='Lukas Mueller',
- version='0.1',
- destination_folder=cmdows_dir,
- pretty_print=True,
- integrity=True)
-
-# On to the wrapping of the MDAO architectures
-# Get iterator (all or single one)
-if not mdao_definitions_loop_all:
- mdao_definitions = [mdao_definitions[mdao_definition_id]]
-
-# Reset FPG
-mdao_definition_fpg = 'MDF-GS' # TODO: Adjust FPG definition to be fully based on architecture type
-architecture_type = 'MDO'
-fpg = FundamentalProblemGraph(rcg)
-fpg.graph['name'] = 'FPG - {}'.format(architecture_type)
-fpg.graph['description'] = 'Fundamental problem graph to solve the super-sonic business jet test case optimization ' \
- 'problem for the architecture type: {}'.format(architecture_type)
-
-# Define settings of the problem formulation
-fpg.add_problem_formulation(mdao_definition_fpg, function_order)
-fpg.graph['problem_formulation']['coupled_functions_groups'] = [['Structures'], ['Aerodynamics'], ['Propulsion']]
-
-# Assign design variables
-des_vars = [('/data_schema/aircraft/geometry/tc', 0.01, 0.05, 0.09),
- ('/data_schema/reference/h', 30000, 45000, 60000),
- ('/data_schema/reference/M', 1.4, 1.6, 1.8),
- ('/data_schema/aircraft/geometry/AR', 2.5, 5.5, 8.5),
- ('/data_schema/aircraft/geometry/Lambda', 40, 55, 70),
- ('/data_schema/aircraft/geometry/Sref', 500, 1000, 1500),
- ('/data_schema/aircraft/geometry/lambda', 0.1, 0.25, 0.4),
- ('/data_schema/aircraft/geometry/section', 0.75, 1.00, 1.25),
- ('/data_schema/aircraft/other/Cf', 0.75, 1.00, 1.25),
- ('/data_schema/aircraft/other/T', 0.1, 0.55, 1.00)]
-fpg.mark_as_design_variables([ds_vr[0] for ds_vr in des_vars],
- lower_bounds=[ds_vr[1] for ds_vr in des_vars],
- nominal_values=[ds_vr[2] for ds_vr in des_vars],
- upper_bounds=[ds_vr[3] for ds_vr in des_vars])
-
-# Assign objective
-fpg.mark_as_objective([nd for nd in rcg.find_all_nodes(category='variable') if nd.endswith('objectives/R')][0])
-
-# Assign constraints
-fpg.mark_as_constraints([nd for nd in rcg.find_all_nodes(category='variable') if '/mdo_data/constraints/sigmas' in nd], '<=', 1.09)
-fpg.mark_as_constraint([nd for nd in rcg.find_all_nodes(category='variable') if '/mdo_data/constraints/Theta' in nd][0], ['>=', '<='], [0.96, 1.04])
-fpg.mark_as_constraints([nd for nd in rcg.find_all_nodes(category='variable') if '/mdo_data/constraints/dpdx' in nd], '<=', 1.04)
-fpg.mark_as_constraint([nd for nd in rcg.find_all_nodes(category='variable') if '/mdo_data/constraints/propulsion/ESF' in nd][0], ['>=', '<='], [0.5, 1.5])
-fpg.mark_as_constraints([nd for nd in rcg.find_all_nodes(category='variable') if '/mdo_data/constraints/propulsion/DT' in nd], '<=', 0.0) # TODO: Check if two bounds are needed...
-fpg.mark_as_constraints([nd for nd in rcg.find_all_nodes(category='variable') if '/mdo_data/constraints/propulsion/Temp' in nd], '<=', 1.02) # TODO: Check if two bounds are needed...
-
-# Search for problem roles
-fpg.add_function_problem_roles()
-
-# Create a DSM visualization of the FPG
-fpg.create_dsm(file_name='FPG_' + architecture_type, function_order=function_order, include_system_vars=True,
- destination_folder=pdf_dir)
-# Create a VISTOMS visualization of the FPG (and add it to the existing directory)
-fpg.vistoms_add(vistoms_dir, function_order=function_order)
-
-# Save the FPG as kdms
-fpg.save('FPG_' + architecture_type, destination_folder=kdms_dir)
-# Save the FPG as cmdows (and do an integrity check)
-fpg.save('FPG_' + architecture_type, file_type='cmdows', destination_folder=cmdows_dir,
- description='FPG CMDOWS file of the super-sonic business jet test case optimization problem',
- creator='Imco van Gent',
- version='0.1',
- pretty_print=True,
- integrity=True)
-
-for mdao_definition in mdao_definitions:
- print('Scripting ' + str(mdao_definition) + '...')
-
- # Change the problem formulation of the FPG based on the MDAO definition
- fpg.add_problem_formulation(mdao_definition, function_order,
- doe_settings=None if mdao_definition is not 'BLISS-2000' else
- {'doe_method': 'Latin hypercube design', 'doe_seed': 5, 'doe_runs': 50})
-
- # Get Mdao graphs
- mdg, mpg = fpg.impose_mdao_architecture()
- mdg.graph['name'] = 'XDSM - ' + mdao_definition + ' - Mdao'
- mdg.graph['description'] = 'Solution strategy to solve the super-sonic business jet test case optimization problem using the strategy: {}.'.format(mdao_definition)
- mpg.graph['name'] = 'XDSM - ' + mdao_definition + ' - Mdao'
- mpg.graph['description'] = 'Solution strategy to solve the super-sonic business jet test case optimization problem using the strategy: {}.'.format(mdao_definition)
- print 'Scripting ' + str(mdao_definition) + '...'
-
- # Create a DSM visualization of the Mdao
- mdg.create_dsm(file_name='Mdao_' + mdao_definition, include_system_vars=True, destination_folder=pdf_dir, mpg=mpg)
- # Create a VISTOMS visualization of the Mdao (and add it to the existing directory)
- mdg.vistoms_add(vistoms_dir, mpg=mpg)
-
- # Save the Mdao as kdms
- mdg.save('Mdao_' + mdao_definition, destination_folder=kdms_dir, mpg=mpg)
- # Save the Mdao as cmdows (and do an integrity check)
- # TODO: Add integrity check and update writer+schema for distributed architectures
- mdg.save('Mdao_' + mdao_definition, file_type='cmdows', destination_folder=cmdows_dir,
- mpg=mpg,
- description='Mdao CMDOWS file of the super-sonic business jet test case optimization problem',
- creator='Imco van Gent',
- version='0.1',
- pretty_print=True,
- integrity=True)
-
-print 'Done!'