def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'concordance.xml',
'method_parameters.xml',
'discordance_binary.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
# we can also get alternatives from 'concordance.xml', therefore 'alternatives.xml'
# can be optional - like here:
# alternatives = list(set([i.text for i in trees['concordance'].findall(".//alternativeID")]))
concordance = px.getAlternativesComparisons(trees['concordance'], alternatives)
discordance_binary = px.getAlternativesComparisons(trees['discordance_binary'], alternatives)
cut_threshold = px.getParameterByName(trees['method_parameters'], 'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'concordance': concordance,
'cut_threshold': cut_threshold,
'discordance_binary': discordance_binary,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'concordance.xml',
'method_parameters.xml',
'discordance_binary.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
# we can also get alternatives from 'concordance.xml', therefore 'alternatives.xml'
# can be optional - like here:
# alternatives = list(set([i.text for i in trees['concordance'].findall(".//alternativeID")]))
concordance = px.getAlternativesComparisons(trees['concordance'],
alternatives)
discordance_binary = px.getAlternativesComparisons(
trees['discordance_binary'], alternatives)
cut_threshold = px.getParameterByName(trees['method_parameters'],
'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'concordance': concordance,
'cut_threshold': cut_threshold,
'discordance_binary': discordance_binary,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'method_parameters.xml',
'outranking.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
alternatives.sort()
outranking = get_intersection_distillation(trees['outranking'], alternatives)
if outranking == None:
outranking = px.getAlternativesComparisons(trees['outranking'], alternatives)
eliminate_cycles_method = px.getParameterByName(trees['method_parameters'],
'eliminate_cycles_method')
if eliminate_cycles_method not in ['aggregate', 'cut_weakest']:
raise RuntimeError("Invalid/missing method for cycle elimination.")
cut_threshold = px.getParameterByName(trees['method_parameters'], 'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'cut_threshold': cut_threshold,
'eliminate_cycles_method': eliminate_cycles_method,
'outranking': outranking,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'method_parameters.xml',
'outranking.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
alternatives.sort()
outranking = get_intersection_distillation(trees['outranking'],
alternatives)
if outranking == None:
outranking = px.getAlternativesComparisons(trees['outranking'],
alternatives)
eliminate_cycles_method = px.getParameterByName(trees['method_parameters'],
'eliminate_cycles_method')
if eliminate_cycles_method not in ['aggregate', 'cut_weakest']:
raise RuntimeError("Invalid/missing method for cycle elimination.")
cut_threshold = px.getParameterByName(trees['method_parameters'],
'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'cut_threshold': cut_threshold,
'eliminate_cycles_method': eliminate_cycles_method,
'outranking': outranking,
}
return ret
def get_concordance(*args, **kwargs):
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'],
comparison_with,
)
concordance = _get_alternatives_comparisons(
trees['concordance'],
alternatives,
categories_profiles,
)
else:
concordance = px.getAlternativesComparisons(
trees['concordance'],
alternatives,
)
return concordance # Vividict, dict
def get_concordance(*args, **kwargs):
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'],
comparison_with,
)
concordance = _get_alternatives_comparisons(
trees['concordance'],
alternatives,
categories_profiles,
)
else:
concordance = px.getAlternativesComparisons(
trees['concordance'],
alternatives,
)
return concordance # Vividict, dict
def main(argv=None):
if argv is None:
argv = sys.argv
parser = OptionParser()
parser.add_option("-i", "--in", dest="in_dir")
parser.add_option("-o", "--out", dest="out_dir")
(options, args) = parser.parse_args(argv[1:])
in_dir = options.in_dir
out_dir = options.out_dir
# Creating lists for error and log messages
errorList = []
logList = []
# If some mandatory input files are missing
if not os.path.isfile (in_dir+"/alternatives.xml") or not os.path.isfile (in_dir+"/criteria.xml") or not os.path.isfile (in_dir+"/alternativesComparisons.xml") or not os.path.isfile (in_dir+"/performanceTable.xml") :
errorList.append("Some input files are missing")
else :
maxWeight = 0
if os.path.isfile (in_dir+"/maxWeight.xml") :
xmltree_maxWeight = PyXMCDA.parseValidate(in_dir+"/maxWeight.xml")
if xmltree_maxWeight == None :
errorList.append ("maxWeight file can't be validated.")
else :
maxWeight = PyXMCDA.getParameterByName (xmltree_maxWeight, "maxWeight")
if not isinstance(maxWeight,int) :
errorList.append ("maxWeight value should be a strictly positive integer")
else :
if maxWeight <= 0 :
errorList.append ("maxWeightvalue should be a strictly positive integer")
xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
xmltree_criteria = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
xmltree_altComparisons = PyXMCDA.parseValidate(in_dir+"/alternativesComparisons.xml")
xmltree_perfTable = PyXMCDA.parseValidate(in_dir+"/performanceTable.xml")
if xmltree_alternatives == None :
errorList.append("The alternatives file can't be validated.")
if xmltree_criteria == None :
errorList.append("The criteria file can't be validated.")
if xmltree_perfTable == None :
errorList.append("The performance table file can't be validated.")
if xmltree_altComparisons == None :
errorList.append("The alternatives comparisons file can't be validated.")
if not errorList :
alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
criteriaId = PyXMCDA.getCriteriaID(xmltree_criteria)
perfTable = PyXMCDA.getPerformanceTable(xmltree_perfTable, alternativesId, criteriaId)
thresholds = PyXMCDA.getConstantThresholds (xmltree_criteria, criteriaId)
altComparisons = PyXMCDA.getAlternativesComparisons (xmltree_altComparisons, alternativesId)
criComparisons = {}
if os.path.isfile (in_dir+"/criteriaComparisons.xml") :
xmltree_criComparisons = PyXMCDA.parseValidate(in_dir+"/criteriaComparisons.xml")
if xmltree_criComparisons == None :
errorList.append ("criteriaComparisons file can't be validated")
else :
criComparisons = PyXMCDA.getCriteriaComparisons (xmltree_criComparisons, criteriaId)
criLB = {}
if os.path.isfile (in_dir+"/criteriaLowerBounds.xml") :
xmltree_criLB = PyXMCDA.parseValidate(in_dir+"/criteriaLowerBounds.xml")
if xmltree_criLB == None :
errorList.append ("criteriaLowerBounds file can't be validated")
else :
criLB = PyXMCDA.getCriterionValue (xmltree_criLB, criteriaId)
criUB = {}
if os.path.isfile (in_dir+"/criteriaUpperBounds.xml") :
xmltree_criUB = PyXMCDA.parseValidate(in_dir+"/criteriaUpperBounds.xml")
if xmltree_criUB == None :
errorList.append ("criteriaUpperBounds file can't be validated")
else :
criUB = PyXMCDA.getCriterionValue (xmltree_criUB, criteriaId)
if not alternativesId :
errorList.append("No alternatives found. Is your alternatives file correct ?")
if not criteriaId :
errorList.append("No criteria found. Is your criteria file correct ?")
if not perfTable :
errorList.append("No performance table found. Is your performance table file correct ?")
#if not altComparisons :
# errorList.append("No alternatives comparisons found. Is your file correct ?")
if not thresholds :
errorList.append("Problem when retrieving the thresholds. The thresholds need to be constant.")
if not errorList :
p = subprocess.Popen(['ampl'], shell=False, bufsize=0,stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, close_fds=True)
# We write in the pipe the first part of the ampl file
file = open ("amplRoadef2010_model.txt", 'r')
p.stdin.write(file.read())
p.stdin.write("\n")
lib_ampl_reverse.create_ampl_reverse_data (p.stdin, alternativesId, criteriaId, perfTable, altComparisons, thresholds, maxWeight, criComparisons, criLB, criUB)
file = open ("amplRoadef2010_solve.txt", 'r')
p.stdin.write(file.read())
p.stdin.write("\n")
p.stdin.flush()
# Calling CPlex for solving MILP
output,stderr = p.communicate()
status = p.returncode
# We check the correct resolution
if status == 0 and not stderr :
if PyXMCDA.getStringPart(output, "nolicense") == "" :
if PyXMCDA.getStringPart(output, "infeasible") != "infeasible" :
# We create the criteriaWeights file
fileWeights = open(out_dir+"/criteriaWeights.xml", 'w')
PyXMCDA.writeHeader (fileWeights)
fileWeights.write (PyXMCDA.getStringPart(output, "criteriaValues"))
logList.append("Execution ok")
logList.append(PyXMCDA.getStringPart(output, "slackSum"))
logList.append(PyXMCDA.getCleanedStringPart(output, "CPLexInfos"))
PyXMCDA.writeFooter(fileWeights)
fileWeights.close()
else :
errorList.append ("Infeasible problem.")
errorList.append (PyXMCDA.getStringPart(output, "CPLexInfos"))
else :
errorList.append ("No license available.")
errorList.append (PyXMCDA.getStringPart(output, "CPLexInfos"))
else :
errorList.append ("CPlex is unable to solve the problem.")
errorList.append ("CPlex returned status : " + str(status))
errorList.append (stderr)
# Creating log and error file, messages.xml
fileMessages = open(out_dir+"/messages.xml", 'w')
PyXMCDA.writeHeader (fileMessages)
if not errorList :
PyXMCDA.writeLogMessages (fileMessages, logList)
else :
PyXMCDA.writeErrorMessages (fileMessages, errorList)
PyXMCDA.writeFooter(fileMessages)
fileMessages.close()
def main(argv=None):
if argv is None:
argv = sys.argv
parser = OptionParser()
parser.add_option("-i", "--in", dest="in_dir")
parser.add_option("-o", "--out", dest="out_dir")
(options, args) = parser.parse_args(argv[1:])
in_dir = options.in_dir
out_dir = options.out_dir
# Creating a list for error messages
errorList = []
if not os.path.isfile(in_dir + "/alternatives.xml"):
errorList.append("alternatives.xml is missing")
if not os.path.isfile(in_dir + "/relation.xml"):
errorList.append("relation.xml is missing")
if not os.path.isfile(in_dir + "/parameters.xml"):
errorList.append("parameters.xml is missing")
if not errorList:
# We parse all the mandatory input files
xmltree_alternatives = PyXMCDA.parseValidate(in_dir +
"/alternatives.xml")
xmltree_relation = PyXMCDA.parseValidate(in_dir + "/relation.xml")
xmltree_parameters = PyXMCDA.parseValidate(in_dir + "/parameters.xml")
# We check if all madatory input files are valid
if xmltree_alternatives == None:
errorList.append("alternatives.xml can't be validated.")
if xmltree_relation == None:
errorList.append("relation.xml can't be validated.")
if xmltree_parameters == None:
errorList.append("parameters.xml can't be validated.")
if not errorList:
alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
alternativesRel = PyXMCDA.getAlternativesComparisons(
xmltree_relation, alternativesId)
relationMin = PyXMCDA.getParameterByName(xmltree_parameters, "min")
relationMax = PyXMCDA.getParameterByName(xmltree_parameters, "max")
relationCut = PyXMCDA.getParameterByName(xmltree_parameters, "cut")
relationBipolar = PyXMCDA.getParameterByName(
xmltree_parameters, "bipolar")
if not alternativesId:
errorList.append("No active alternatives found.")
if not alternativesRel:
errorList.append("Problems between relation and alternatives.")
if relationMin is None:
errorList.append("No \'min\' method parameter found")
if relationMax is None:
errorList.append("No \'max\' method parameter found")
if relationCut is None:
errorList.append("No \'cut\' method parameter found")
if relationBipolar is None:
errorList.append("No \'bipolar\' method parameter found")
if not errorList:
alg = algMccP(alternativesId, alternativesRel, relationMin,
relationMax, relationCut, relationBipolar)
results = alg.Run()
fo = open(out_dir + "/output.xml", 'w')
PyXMCDA.writeHeader(fo)
fo.write('<alternativesAffectations>\n')
for o in results:
fo.write('\t<alternativeAffectation>\n\t\t<alternativeID>' +
o + '</alternativeID>\n\t\t\t<categoryID>' +
results[o] +
'</categoryID>\n\t</alternativeAffectation>\n')
fo.write('</alternativesAffectations>')
PyXMCDA.writeFooter(fo)
fo.close()
# Creating log and error file, messages.xml
fileMessages = open(out_dir + "/messages.xml", 'w')
PyXMCDA.writeHeader(fileMessages)
if not errorList:
PyXMCDA.writeLogMessages(fileMessages, ["Execution ok"])
else:
PyXMCDA.writeErrorMessages(fileMessages, errorList)
PyXMCDA.writeFooter(fileMessages)
fileMessages.close()
def main(argv=None):
if argv is None:
argv = sys.argv
parser = OptionParser()
parser.add_option("-i", "--in", dest="in_dir")
parser.add_option("-o", "--out", dest="out_dir")
(options, args) = parser.parse_args(argv[1:])
in_dir = options.in_dir
out_dir = options.out_dir
# Creating lists for error and log messages
errorList = []
logList = []
# If some mandatory input files are missing
if not os.path.isfile (in_dir+"/alternatives.xml") or not os.path.isfile (in_dir+"/categories.xml") or not os.path.isfile (in_dir+"/categoriesProfiles.xml") or not os.path.isfile (in_dir+"/stabilityRelation.xml"):
errorList.append("Some input files are missing")
else :
if os.path.isfile (in_dir+"/sortingMode.xml") :
xmltree_mode = PyXMCDA.parseValidate(in_dir+"/sortingMode.xml")
if xmltree_mode == None :
errorList.append ("sortingMode file cannot be validated.")
else :
mode = PyXMCDA.getParameterByName (xmltree_mode, "sortingMode")
if not (mode == "pessimistic" or mode == "optimistic"):
errorList.append ("Value of parameter sortingMode should be 'pessimistic' or 'optimistic'.")
xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
xmltree_categories = PyXMCDA.parseValidate(in_dir+"/categories.xml")
xmltree_profiles = PyXMCDA.parseValidate(in_dir+"/categoriesProfiles.xml")
xmltree_altStability = PyXMCDA.parseValidate(in_dir+"/stabilityRelation.xml")
if xmltree_alternatives == None :
errorList.append("The alternatives file cannot be validated.")
if xmltree_categories == None :
errorList.append("The categories file cannot be validated.")
if xmltree_profiles == None :
errorList.append("The categoriesProfiles file cannot be validated.")
if xmltree_altStability == None :
errorList.append("The alternatives comparisons file cannot be validated.")
if not errorList :
alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives, "ACTIVEREAL")
allalt = PyXMCDA.getAlternativesID(xmltree_alternatives, "ACTIVE")
categoriesId = PyXMCDA.getCategoriesID(xmltree_categories)
categoriesRank = PyXMCDA.getCategoriesRank(xmltree_categories, categoriesId)
altStability = PyXMCDA.getAlternativesComparisons (xmltree_altStability, allalt)
if not alternativesId:
errorList.append("No alternatives found.")
if not categoriesId:
errorList.append("No categories found.")
if not altStability :
errorList.append("No alternatives comparisons found.")
if not errorList :
catPro = PyXMCDA.getCategoriesProfiles(xmltree_profiles, categoriesId)
proCat = PyXMCDA.getProfilesCategories(xmltree_profiles, categoriesId)
profilesId = proCat.keys()
# On retourne la liste pour trier selon les rangs
rankCategories = {}
for i, j in categoriesRank.iteritems():
rankCategories[j] = i
ranks = rankCategories.keys()[:]
ranks.sort()
lowestRank = ranks.pop()
# Un tableau pour conserver les affectations
affectations = {}
if mode == "pessimistic":
# Electre tri pessimistic rule
for alt in alternativesId:
affectations[alt] = []
for rank in ranks:
profile = catPro[rankCategories[rank]]["lower"]
if altStability[alt][profile] >= -1 and altStability[alt][profile] <= 1:
# Surclassement instable, on ajoute les categories sup et inf
if affectations[alt].count(proCat[profile]["lower"]) == 0:
affectations[alt].append(proCat[profile]["lower"])
if affectations[alt].count(proCat[profile]["upper"]) == 0:
affectations[alt].append(proCat[profile]["upper"])
if altStability[alt][profile] > 1:
# Surclassement stable, on ajoute que sup et on arrete
if affectations[alt].count(proCat[profile]["upper"]) == 0:
affectations[alt].append(proCat[profile]["upper"])
break
if affectations[alt] == []:
# Tous les surc stables et negatifs, on force la categorie la plus basse
affectations[alt] = [rankCategories[lowestRank]]
else:
errorList.append("Optimistic rule is not taken into account yet")
if not errorList :
# Creating alternativesAffectations file
fileAffectations = open(out_dir+"/alternativesAffectations.xml",'w')
PyXMCDA.writeHeader(fileAffectations)
# We write some information about the generated file
fileAffectations.write ("\t<projectReference>\n\t\t<title>Stable alternatives affectation</title>\n\t\t<version>"+VERSION+"</version>\n\t\t<author>ws_PyXMCDA suite (TV)</author>\n\t</projectReference>\n\n")
fileAffectations.write("\t<alternativesAffectations>\n")
for alt in alternativesId:
fileAffectations.write("\t\t<alternativeAffectation>\n\t\t\t<alternativeID>"+alt+"</alternativeID>\n\t\t\t<categoriesSet>\n")
for cat in affectations[alt]:
fileAffectations.write("\t\t\t\t<element><categoryID>"+cat+"</categoryID></element>\n")
fileAffectations.write("\t\t\t</categoriesSet>\n\t\t</alternativeAffectation>\n")
fileAffectations.write("\t</alternativesAffectations>\n")
PyXMCDA.writeFooter(fileAffectations)
fileAffectations.close()
# Creating log and error file, messages.xml
fileMessages = open(out_dir+"/messages.xml", 'w')
PyXMCDA.writeHeader (fileMessages)
if not errorList :
logList.append("Execution ok")
PyXMCDA.writeLogMessages (fileMessages, logList)
else :
PyXMCDA.writeErrorMessages (fileMessages, errorList)
PyXMCDA.writeFooter(fileMessages)
fileMessages.close()
def get_input_data(input_dir, filenames, params, **kwargs):
trees = _get_trees(input_dir, filenames)
d = _create_data_object(params)
for p in params:
if p == 'alternatives':
d.alternatives = px.getAlternativesID(trees['alternatives'])
elif p == 'categories_profiles':
comparison_with = kwargs.get('comparison_with')
if comparison_with is None:
comparison_with = px.getParameterByName(
trees['method_parameters'], 'comparison_with')
d.categories_profiles = _get_categories_profiles(
trees.get('categories_profiles'), comparison_with)
elif p == 'categories_rank':
categories = px.getCategoriesID(trees['categories'])
d.categories_rank = px.getCategoriesRank(trees['categories'],
categories)
elif p == 'comparison_with':
d.comparison_with = px.getParameterByName(
trees['method_parameters'], 'comparison_with')
elif p == 'concordance':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(trees['method_parameters'],
'comparison_with')
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'], comparison_with)
d.concordance = _get_alternatives_comparisons(
trees['concordance'], alternatives, categories_profiles)
else:
d.concordance = px.getAlternativesComparisons(
trees['concordance'], alternatives)
elif p == 'credibility':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = kwargs.get('comparison_with')
if not comparison_with:
comparison_with = px.getParameterByName(
trees['method_parameters'], 'comparison_with')
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'], comparison_with)
else:
categories_profiles = None
eliminate_cycles_method = px.getParameterByName(
trees.get('method_parameters'), 'eliminate_cycles_method')
tree = trees.get('credibility')
if eliminate_cycles_method == 'cut_weakest' and tree is None:
raise RuntimeError(
"'cut_weakest' option requires credibility as "
"an additional input (apart from outranking).")
d.credibility = _get_alternatives_comparisons(
tree, alternatives, categories_profiles=categories_profiles)
elif p == 'criteria':
d.criteria = px.getCriteriaID(trees['criteria'])
elif p == 'cut_threshold':
cut_threshold = px.getParameterByName(trees['method_parameters'],
'cut_threshold')
if cut_threshold is None or not (0 <= float(cut_threshold) <= 1):
raise RuntimeError(
"'cut_threshold' should be in range [0, 1] "
"(most commonly used values are 0.6 or 0.7).")
d.cut_threshold = cut_threshold
# 'cv_crossed' == 'counter-veto crossed'
elif p == 'cv_crossed':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(trees['method_parameters'],
'comparison_with')
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'], comparison_with)
else:
categories_profiles = None
d.cv_crossed = _get_alternatives_comparisons(
trees['counter_veto_crossed'],
alternatives,
categories_profiles=categories_profiles,
use_partials=True,
mcda_concept='counterVetoCrossed')
elif p == 'discordance':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(trees['method_parameters'],
'comparison_with')
if kwargs.get('use_partials') is not None:
use_partials = kwargs.get('use_partials')
else:
parameter = px.getParameterByName(trees['method_parameters'],
'use_partials')
use_partials = True if parameter == 'true' else False
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'], comparison_with)
else:
categories_profiles = None
d.discordance = _get_alternatives_comparisons(
trees['discordance'],
alternatives,
categories_profiles=categories_profiles,
use_partials=use_partials)
elif p == 'eliminate_cycles_method':
d.eliminate_cycles_method = px.getParameterByName(
trees['method_parameters'], 'eliminate_cycles_method')
elif p == 'interactions':
criteria = px.getCriteriaID(trees['criteria'])
d.interactions = _get_criteria_interactions(
trees['interactions'], criteria)
elif p == 'outranking':
d.outranking = _get_outranking_crisp(trees['outranking'])
elif p == 'performances':
d.performances = px.getPerformanceTable(trees['performance_table'],
None, None)
elif p == 'pref_directions':
criteria = px.getCriteriaID(trees['criteria'])
d.pref_directions = px.getCriteriaPreferenceDirections(
trees['criteria'], criteria)
elif p == 'profiles_performance_table':
if comparison_with in ('boundary_profiles', 'central_profiles'):
tree = trees.get('profiles_performance_table')
if tree is None:
msg = (
"Missing profiles performance table (did you forget "
"to provide 'profiles_performance_table.xml' file?).")
raise RuntimeError(msg)
d.profiles_performance_table = px.getPerformanceTable(
tree, None, None)
else:
d.profiles_performance_table = None
elif p == 'reinforcement_factors':
criteria = px.getCriteriaID(trees['criteria'])
factors = {}
for c in criteria:
rf = px.getCriterionValue(trees['reinforcement_factors'], c,
'reinforcement_factors')
if len(rf) == 0:
continue
if rf.get(c) <= 1:
msg = ("Reinforcement factor for criterion '{}' should be "
"higher than 1.0 (ideally between 1.2 and 1.5).")
raise RuntimeError(msg)
factors.update(rf)
d.reinforcement_factors = factors
elif p == 'thresholds':
criteria = px.getCriteriaID(trees['criteria'])
d.thresholds = _get_thresholds(trees['criteria'])
elif p == 'weights':
criteria = px.getCriteriaID(trees['criteria'])
d.weights = px.getCriterionValue(trees['weights'], criteria)
elif p == 'z_function':
d.z_function = px.getParameterByName(trees['method_parameters'],
'z_function')
elif p == 'with_denominator':
parameter = px.getParameterByName(trees['method_parameters'],
'with_denominator')
d.with_denominator = True if parameter == 'true' else False
elif p == 'only_max_discordance':
parameter = px.getParameterByName(trees['method_parameters'],
'only_max_discordance')
d.only_max_discordance = True if parameter == 'true' else False
elif p == 'use_partials':
parameter = px.getParameterByName(trees['method_parameters'],
'use_partials')
d.use_partials = True if parameter == 'true' else False
elif p == 'use_pre_veto':
parameter = px.getParameterByName(trees['method_parameters'],
'use_pre_veto')
d.use_pre_veto = True if parameter == 'true' else False
else:
raise RuntimeError("Unknown parameter '{}' specified.".format(p))
for param in params:
data = getattr(d, param)
if type(data) in (type(list), type(dict)) and len(data) == 0:
raise RuntimeError(
"No content for '{}' parameter provided.".format(param))
return d
def get_input_data(input_dir, filenames, params, **kwargs):
trees = _get_trees(input_dir, filenames)
d = _create_data_object(params)
for p in params:
if p == 'alternatives':
d.alternatives = px.getAlternativesID(trees['alternatives'])
elif p == 'categories_profiles':
comparison_with = kwargs.get('comparison_with')
if comparison_with is None:
comparison_with = px.getParameterByName(trees['method_parameters'], 'comparison_with')
d.categories_profiles = _get_categories_profiles(trees.get('categories_profiles'),
comparison_with)
elif p == 'categories_rank':
categories = px.getCategoriesID(trees['categories'])
d.categories_rank = px.getCategoriesRank(trees['categories'], categories)
elif p == 'comparison_with':
d.comparison_with = px.getParameterByName(trees['method_parameters'], 'comparison_with')
elif p == 'concordance':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(trees['method_parameters'], 'comparison_with')
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(trees['categories_profiles'],
comparison_with)
d.concordance = _get_alternatives_comparisons(trees['concordance'], alternatives,
categories_profiles)
else:
d.concordance = px.getAlternativesComparisons(trees['concordance'], alternatives)
elif p == 'credibility':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = kwargs.get('comparison_with')
if not comparison_with:
comparison_with = px.getParameterByName(trees['method_parameters'], 'comparison_with')
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(trees['categories_profiles'],
comparison_with)
else:
categories_profiles = None
eliminate_cycles_method = px.getParameterByName(trees.get('method_parameters'),
'eliminate_cycles_method')
tree = trees.get('credibility')
if eliminate_cycles_method == 'cut_weakest' and tree is None:
raise RuntimeError("'cut_weakest' option requires credibility as "
"an additional input (apart from outranking).")
d.credibility = _get_alternatives_comparisons(tree, alternatives,
categories_profiles=categories_profiles)
elif p == 'criteria':
d.criteria = px.getCriteriaID(trees['criteria'])
elif p == 'cut_threshold':
cut_threshold = px.getParameterByName(trees['method_parameters'], 'cut_threshold')
if cut_threshold is None or not (0 <= float(cut_threshold) <= 1):
raise RuntimeError(
"'cut_threshold' should be in range [0, 1] "
"(most commonly used values are 0.6 or 0.7)."
)
d.cut_threshold = cut_threshold
# 'cv_crossed' == 'counter-veto crossed'
elif p == 'cv_crossed':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(trees['method_parameters'], 'comparison_with')
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(trees['categories_profiles'],
comparison_with)
else:
categories_profiles = None
d.cv_crossed = _get_alternatives_comparisons(trees['counter_veto_crossed'],
alternatives,
categories_profiles=categories_profiles,
use_partials=True,
mcda_concept='counterVetoCrossed')
elif p == 'discordance':
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(trees['method_parameters'], 'comparison_with')
if kwargs.get('use_partials') is not None:
use_partials = kwargs.get('use_partials')
else:
parameter = px.getParameterByName(trees['method_parameters'], 'use_partials')
use_partials = True if parameter == 'true' else False
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(trees['categories_profiles'],
comparison_with)
else:
categories_profiles = None
d.discordance = _get_alternatives_comparisons(trees['discordance'], alternatives,
categories_profiles=categories_profiles,
use_partials=use_partials)
elif p == 'eliminate_cycles_method':
d.eliminate_cycles_method = px.getParameterByName(trees['method_parameters'],
'eliminate_cycles_method')
elif p == 'interactions':
criteria = px.getCriteriaID(trees['criteria'])
d.interactions = _get_criteria_interactions(trees['interactions'], criteria)
elif p == 'outranking':
d.outranking = _get_outranking_crisp(trees['outranking'])
elif p == 'performances':
d.performances = px.getPerformanceTable(trees['performance_table'], None, None)
elif p == 'pref_directions':
criteria = px.getCriteriaID(trees['criteria'])
d.pref_directions = px.getCriteriaPreferenceDirections(trees['criteria'], criteria)
elif p == 'profiles_performance_table':
if comparison_with in ('boundary_profiles', 'central_profiles'):
tree = trees.get('profiles_performance_table')
if tree is None:
msg = ("Missing profiles performance table (did you forget "
"to provide 'profiles_performance_table.xml' file?).")
raise RuntimeError(msg)
d.profiles_performance_table = px.getPerformanceTable(tree, None, None)
else:
d.profiles_performance_table = None
elif p == 'reinforcement_factors':
criteria = px.getCriteriaID(trees['criteria'])
factors = {}
for c in criteria:
rf = px.getCriterionValue(trees['reinforcement_factors'], c,
'reinforcement_factors')
if len(rf) == 0:
continue
if rf.get(c) <= 1:
msg = ("Reinforcement factor for criterion '{}' should be "
"higher than 1.0 (ideally between 1.2 and 1.5).")
raise RuntimeError(msg)
factors.update(rf)
d.reinforcement_factors = factors
elif p == 'thresholds':
criteria = px.getCriteriaID(trees['criteria'])
d.thresholds = _get_thresholds(trees['criteria'])
elif p == 'weights':
criteria = px.getCriteriaID(trees['criteria'])
d.weights = px.getCriterionValue(trees['weights'], criteria)
elif p == 'z_function':
d.z_function = px.getParameterByName(trees['method_parameters'], 'z_function')
elif p == 'with_denominator':
parameter = px.getParameterByName(trees['method_parameters'], 'with_denominator')
d.with_denominator = True if parameter == 'true' else False
elif p == 'only_max_discordance':
parameter = px.getParameterByName(trees['method_parameters'], 'only_max_discordance')
d.only_max_discordance = True if parameter == 'true' else False
elif p == 'use_partials':
parameter = px.getParameterByName(trees['method_parameters'], 'use_partials')
d.use_partials = True if parameter == 'true' else False
elif p == 'use_pre_veto':
parameter = px.getParameterByName(trees['method_parameters'], 'use_pre_veto')
d.use_pre_veto = True if parameter == 'true' else False
else:
raise RuntimeError("Unknown parameter '{}' specified.".format(p))
for param in params:
data = getattr(d, param)
if type(data) in (type(list), type(dict)) and len(data) == 0:
raise RuntimeError("No content for '{}' parameter provided."
.format(param))
return d
def main(argv=None):
if argv is None:
argv = sys.argv
parser = OptionParser()
parser.add_option("-i", "--in", dest="in_dir")
parser.add_option("-o", "--out", dest="out_dir")
(options, args) = parser.parse_args(argv[1:])
in_dir = options.in_dir
out_dir = options.out_dir
# Creating a list for error messages
errorList = []
if not in_dir:
errorList.append("option --in is missing")
if not out_dir:
errorList.append("option --out is missing")
if not errorList:
if not os.path.isfile (in_dir+"/alternatives.xml"):
errorList.append("alternatives.xml is missing")
if not os.path.isfile (in_dir+"/alternativesComparisons.xml"):
errorList.append("alternativesComparisons.xml is missing")
if not os.path.isfile (in_dir+"/methodParameters.xml"):
errorList.append("methodParameters.xml is missing")
if not errorList:
# We parse all the mandatory input files
xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
xmltree_alternativesComparisons = PyXMCDA.parseValidate(in_dir+"/alternativesComparisons.xml")
xmltree_methodParameters = PyXMCDA.parseValidate(in_dir+"/methodParameters.xml")
# We check if all mandatory input files are valid
if xmltree_alternatives == None :
errorList.append("alternatives.xml can't be validated.")
if xmltree_alternativesComparisons == None :
errorList.append("alternativesComparisons.xml can't be validated.")
if xmltree_methodParameters == None :
errorList.append("methodParameters.xml can't be validated.")
if not errorList :
alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
alternativesRel = PyXMCDA.getAlternativesComparisons (xmltree_alternativesComparisons, alternativesId)
bipolar = PyXMCDA.getParameterByName(xmltree_methodParameters, "bipolar")
cutlvl = PyXMCDA.getParameterByName(xmltree_methodParameters, "cutlvl")
if not alternativesId :
errorList.append("No active alternatives found.")
if not alternativesRel :
errorList.append("Problems between relation and alternatives.")
if not bipolar:
errorList.append("No bipolar parameter found.")
if not cutlvl:
errorList.append("No cutlvl parameter found.")
missing_eval = False
for o in alternativesId:
if not (o in alternativesRel):
missing_eval = True
break
else:
for p in alternativesId:
if not (p in alternativesRel[o]):
missing_eval = True
break
if missing_eval:
errorList.append("Not all alternatives from alternatives.xml contain evaluations in alternativesComparisons.xml. Possible inputs from different sources.")
if not errorList :
PR = PreferenceRelation(alternativesId, alternativesRel, bipolar, cutlvl)
R = PR.ExtractR()
L = ['i','p+','p-','j']
fo = open(out_dir+"/preferenceRelation.xml",'w')
PyXMCDA.writeHeader(fo)
fo.write('<alternativesComparisons>\n')
fo.write('\t<pairs>\n')
for o in alternativesId:
for p in alternativesId:
fo.write('\t\t<pair>\n')
fo.write('\t\t\t<initial>\n')
fo.write('\t\t\t\t<alternativeID>'+o+'</alternativeID>\n')
fo.write('\t\t\t</initial>\n')
fo.write('\t\t\t<terminal>\n')
fo.write('\t\t\t\t<alternativeID>'+p+'</alternativeID>\n')
fo.write('\t\t\t</terminal>\n')
fo.write('\t\t\t<values>\n')
for i in range(4):
fo.write('\t\t\t\t<value id="'+ L[i] +'">\n')
fo.write('\t\t\t\t\t<real>'+str(R[o][p][i])+'</real>\n')
fo.write('\t\t\t\t</value>\n')
fo.write('\t\t\t</values>\n')
fo.write('\t\t</pair>\n')
fo.write('\t</pairs>\n')
fo.write('</alternativesComparisons>\n')
PyXMCDA.writeFooter(fo)
fo.close()
# Creating log and error file, messages.xml
fileMessages = open(out_dir+"/messages.xml", 'w')
PyXMCDA.writeHeader (fileMessages)
if not errorList :
PyXMCDA.writeLogMessages (fileMessages, ["Execution ok"])
else :
PyXMCDA.writeErrorMessages (fileMessages, errorList)
PyXMCDA.writeFooter(fileMessages)
fileMessages.close()
def main(argv=None):
if argv is None:
argv = sys.argv
parser = OptionParser()
parser.add_option("-i", "--in", dest="in_dir")
parser.add_option("-o", "--out", dest="out_dir")
(options, args) = parser.parse_args(argv[1:])
in_dir = options.in_dir
out_dir = options.out_dir
# Creating a list for error messages
errorList = []
if not os.path.isfile (in_dir+"/alternatives.xml"):
errorList.append("alternatives.xml is missing")
if not os.path.isfile (in_dir+"/relation.xml"):
errorList.append("relation.xml is missing")
if not os.path.isfile (in_dir+"/parameters.xml"):
errorList.append("parameters.xml is missing")
if not errorList:
# We parse all the mandatory input files
xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
xmltree_relation = PyXMCDA.parseValidate(in_dir+"/relation.xml")
xmltree_parameters = PyXMCDA.parseValidate(in_dir+"/parameters.xml")
# We check if all madatory input files are valid
if xmltree_alternatives == None :
errorList.append("alternatives.xml can't be validated.")
if xmltree_relation == None :
errorList.append("relation.xml can't be validated.")
if xmltree_parameters == None :
errorList.append("parameters.xml can't be validated.")
if not errorList :
alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
alternativesRel = PyXMCDA.getAlternativesComparisons (xmltree_relation, alternativesId)
relationMin = PyXMCDA.getParameterByName (xmltree_parameters, "min")
relationMax = PyXMCDA.getParameterByName (xmltree_parameters, "max")
relationCut = PyXMCDA.getParameterByName (xmltree_parameters, "cut")
relationBipolar = PyXMCDA.getParameterByName (xmltree_parameters, "bipolar")
if not alternativesId :
errorList.append("No active alternatives found.")
if not alternativesRel :
errorList.append("Problems between relation and alternatives.")
if relationMin is None:
errorList.append("No \'min\' method parameter found")
if relationMax is None:
errorList.append("No \'max\' method parameter found")
if relationCut is None:
errorList.append("No \'cut\' method parameter found")
if relationBipolar is None:
errorList.append("No \'bipolar\' method parameter found")
if not errorList :
alg = algMccP(alternativesId, alternativesRel, relationMin, relationMax, relationCut, relationBipolar)
results = alg.Run()
fo = open(out_dir+"/output.xml",'w')
PyXMCDA.writeHeader(fo)
fo.write('<alternativesAffectations>\n')
for o in results:
fo.write('\t<alternativeAffectation>\n\t\t<alternativeID>'+o+'</alternativeID>\n\t\t\t<categoryID>'+results[o]+'</categoryID>\n\t</alternativeAffectation>\n')
fo.write('</alternativesAffectations>')
PyXMCDA.writeFooter(fo)
fo.close()
# Creating log and error file, messages.xml
fileMessages = open(out_dir+"/messages.xml", 'w')
PyXMCDA.writeHeader (fileMessages)
if not errorList :
PyXMCDA.writeLogMessages (fileMessages, ["Execution ok"])
else :
PyXMCDA.writeErrorMessages (fileMessages, errorList)
PyXMCDA.writeFooter(fileMessages)
fileMessages.close()
def get_input_data(input_dir, filenames, params, **kwargs):
trees = _get_trees(input_dir, filenames)
d = _create_data_object(params)
for p in params:
if p == "alternatives":
d.alternatives = px.getAlternativesID(trees["alternatives"])
elif p == "profiles":
d.profiles = px.getProfilesID(trees["profiles"])
elif p == "categories_profiles":
comparison_with = kwargs.get("comparison_with")
if comparison_with is None:
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
d.categories_profiles = _get_categories_profiles(trees.get("categories_profiles"), comparison_with)
elif p == "categories_rank":
categories = px.getCategoriesID(trees["categories"])
d.categories_rank = px.getCategoriesRank(trees["categories"], categories)
elif p == "comparison_with":
d.comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
elif p == "concordance":
alternatives = px.getAlternativesID(trees["alternatives"])
comparison_with = kwargs.get("comparison_with")
if trees.has_key("methos_parameters"):
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
if kwargs.get("use_partials") is not None:
use_partials = kwargs.get("use_partials")
else:
if trees.has_key("methos_parameters"):
parameter = px.getParameterByName(trees["method_parameters"], "use_partials")
use_partials = True if parameter == "true" else False
categories_profiles = None
profiles = None
if comparison_with in ("boundary_profiles", "central_profiles"):
categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
if comparison_with == "profiles":
profiles = px.getProfilesID(trees["profiles"])
d.concordance = _get_alternatives_comparisons(
trees["concordance"],
alternatives,
profiles=profiles,
categories_profiles=categories_profiles,
use_partials=use_partials,
)
elif p == "crisp_concordance":
alternatives = px.getAlternativesID(trees["alternatives"])
comparison_with = kwargs.get("comparison_with")
if trees.has_key("methos_parameters"):
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
if kwargs.get("use_partials") is not None:
use_partials = kwargs.get("use_partials")
else:
if trees.has_key("methos_parameters"):
parameter = px.getParameterByName(trees["method_parameters"], "use_partials")
use_partials = True if parameter == "true" else False
categories_profiles = None
profiles = None
if comparison_with in ("boundary_profiles", "central_profiles"):
categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
if comparison_with == "profiles":
profiles = px.getProfilesID(trees["profiles"])
d.concordance = _get_alternatives_comparisons(
trees["concordance"],
alternatives,
profiles=profiles,
categories_profiles=categories_profiles,
use_partials=use_partials,
use_value=False,
)
elif p == "credibility":
alternatives = px.getAlternativesID(trees["alternatives"])
comparison_with = kwargs.get("comparison_with")
if not comparison_with:
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
if comparison_with in ("boundary_profiles", "central_profiles"):
categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
else:
categories_profiles = None
eliminate_cycles_method = px.getParameterByName(trees.get("method_parameters"), "eliminate_cycles_method")
tree = trees.get("credibility")
if eliminate_cycles_method == "cut_weakest" and tree is None:
raise RuntimeError(
"'cut_weakest' option requires credibility as " "an additional input (apart from outranking)."
)
d.credibility = _get_alternatives_comparisons(tree, alternatives, categories_profiles=categories_profiles)
elif p == "criteria":
if trees.has_key("criteria"):
d.criteria = px.getCriteriaID(trees["criteria"])
elif p == "cut_threshold":
cut_threshold = px.getParameterByName(trees["method_parameters"], "cut_threshold")
if cut_threshold is None or not (0 <= float(cut_threshold) <= 1):
raise RuntimeError(
"'cut_threshold' should be in range [0, 1] " "(most commonly used values are 0.6 or 0.7)."
)
d.cut_threshold = cut_threshold
# 'cv_crossed' == 'counter-veto crossed'
elif p == "cv_crossed":
alternatives = px.getAlternativesID(trees["alternatives"])
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
if comparison_with in ("boundary_profiles", "central_profiles"):
categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
else:
categories_profiles = None
d.cv_crossed = _get_alternatives_comparisons(
trees["counter_veto_crossed"],
alternatives,
categories_profiles=categories_profiles,
use_partials=True,
mcda_concept="counterVetoCrossed",
)
elif p == "discordance":
alternatives = px.getAlternativesID(trees["alternatives"])
comparison_with = kwargs.get("comparison_with")
if trees.has_key("methos_parameters"):
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
if kwargs.get("use_partials") is not None:
use_partials = kwargs.get("use_partials")
else:
if trees.has_key("methos_parameters"):
parameter = px.getParameterByName(trees["method_parameters"], "use_partials")
use_partials = True if parameter == "true" else False
categories_profiles = None
profiles = None
if comparison_with in ("boundary_profiles", "central_profiles"):
categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
if comparison_with == "profiles":
profiles = px.getProfilesID(trees["profiles"])
d.discordance = _get_alternatives_comparisons(
trees["discordance"],
alternatives,
profiles=profiles,
categories_profiles=categories_profiles,
use_partials=use_partials,
)
elif p == "crisp_discordance":
alternatives = px.getAlternativesID(trees["alternatives"])
comparison_with = kwargs.get("comparison_with")
if trees.has_key("methos_parameters"):
comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
if kwargs.get("use_partials") is not None:
use_partials = kwargs.get("use_partials")
else:
if trees.has_key("methos_parameters"):
parameter = px.getParameterByName(trees["method_parameters"], "use_partials")
use_partials = True if parameter == "true" else False
categories_profiles = None
profiles = None
if comparison_with in ("boundary_profiles", "central_profiles"):
categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
if comparison_with == "profiles":
profiles = px.getProfilesID(trees["profiles"])
d.discordance = _get_alternatives_comparisons(
trees["discordance"],
alternatives,
profiles=profiles,
categories_profiles=categories_profiles,
use_partials=use_partials,
use_value=False,
)
elif p == "preorder":
if trees.has_key("preorder"):
alternatives = px.getAlternativesID(trees["alternatives"])
d.preorder = px.getAlternativeValue(trees["preorder"], alternatives, None)
elif p == "downwards":
alternatives = px.getAlternativesID(trees["alternatives"])
d.downwards = px.getAlternativeValue(trees["downwards"], alternatives, None)
elif p == "upwards":
alternatives = px.getAlternativesID(trees["alternatives"])
d.upwards = px.getAlternativeValue(trees["upwards"], alternatives, None)
elif p == "eliminate_cycles_method":
d.eliminate_cycles_method = px.getParameterByName(trees["method_parameters"], "eliminate_cycles_method")
elif p == "interactions":
criteria = px.getCriteriaID(trees["criteria"])
d.interactions = _get_criteria_interactions(trees["interactions"], criteria)
elif p == "outranking":
alternatives = px.getAlternativesID(trees["alternatives"])
outranking = _get_intersection_distillation(trees["outranking"], alternatives)
if outranking == None:
outranking = px.getAlternativesComparisons(trees["outranking"], alternatives)
if outranking == {}:
outranking = _get_outranking(trees["outranking"])
d.outranking = outranking
elif p == "nonoutranking":
if trees.has_key("nonoutranking"):
alternatives = px.getAlternativesID(trees["alternatives"])
nonoutranking = _get_intersection_distillation(trees["nonoutranking"], alternatives)
if nonoutranking == None:
nonoutranking = px.getAlternativesComparisons(trees["nonoutranking"], alternatives)
if nonoutranking == {}:
nonoutranking = _get_outranking(trees["nonoutranking"])
d.nonoutranking = nonoutranking
elif p == "performances":
d.performances = px.getPerformanceTable(trees["performance_table"], None, None)
elif p == "pref_directions":
criteria = px.getCriteriaID(trees["criteria"])
d.pref_directions = px.getCriteriaPreferenceDirections(trees["criteria"], criteria)
elif p == "profiles_performance_table":
if comparison_with in ("boundary_profiles", "central_profiles"):
tree = trees.get("profiles_performance_table")
if tree is None:
msg = (
"Missing profiles performance table (did you forget "
"to provide 'profiles_performance_table.xml' file?)."
)
raise RuntimeError(msg)
d.profiles_performance_table = px.getPerformanceTable(tree, None, None)
else:
d.profiles_performance_table = None
elif p == "reinforcement_factors":
criteria = px.getCriteriaID(trees["criteria"])
factors = {}
for c in criteria:
rf = px.getCriterionValue(trees["reinforcement_factors"], c, "reinforcement_factors")
if len(rf) == 0:
continue
if rf.get(c) <= 1:
msg = (
"Reinforcement factor for criterion '{}' should be "
"higher than 1.0 (ideally between 1.2 and 1.5)."
)
raise RuntimeError(msg)
factors.update(rf)
d.reinforcement_factors = factors
elif p == "thresholds":
criteria = px.getCriteriaID(trees["criteria"])
d.thresholds = _get_thresholds(trees["criteria"])
elif p == "weights":
criteria = px.getCriteriaID(trees["criteria"])
d.weights = px.getCriterionValue(trees["weights"], criteria)
elif p == "z_function":
d.z_function = px.getParameterByName(trees["method_parameters"], "z_function")
elif p == "with_denominator":
parameter = px.getParameterByName(trees["method_parameters"], "with_denominator")
d.with_denominator = True if parameter == "true" else False
elif p == "use_partials":
parameter = px.getParameterByName(trees["method_parameters"], "use_partials")
d.use_partials = True if parameter == "true" else False
elif p == "use_pre_veto":
parameter = px.getParameterByName(trees["method_parameters"], "use_pre_veto")
d.use_pre_veto = True if parameter == "true" else False
elif p == "alpha":
d.alpha = px.getParameterByName(trees["method_parameters"], "alpha")
elif p == "beta":
d.beta = px.getParameterByName(trees["method_parameters"], "beta")
elif p == "s1":
d.s1 = px.getParameterByName(trees["method_parameters"], "s1")
elif p == "s2":
d.s2 = px.getParameterByName(trees["method_parameters"], "s2")
elif p == "crisp_outranking":
d.crisp_outranking = px.getParameterByName(trees["method_parameters"], "crisp_outranking")
elif p == "direction":
d.direction = px.getParameterByName(trees["method_parameters"], "direction")
elif p == "conc_threshold":
d.conc_threshold = px.getParameterByName(trees["method_parameters"], "conc_threshold")
elif p == "disc_threshold":
d.disc_threshold = px.getParameterByName(trees["method_parameters"], "disc_threshold")
elif p == "comprehensive":
d.comprehensive = px.getParameterByName(trees["method_parameters"], "comprehensive")
else:
raise RuntimeError("Unknown parameter '{}' specified.".format(p))
return d
