def get_credibility(*args, **kwargs):
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 InputDataError(
"'cut_weakest' option requires credibility as an additional "
"input (apart from outranking)."
)
credibility = _get_alternatives_comparisons(
tree,
alternatives,
categories_profiles=categories_profiles,
)
return credibility # NoneType, Vividict
def get_credibility(*args, **kwargs):
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 InputDataError(
"'cut_weakest' option requires credibility as an additional "
"input (apart from outranking)."
)
credibility = _get_alternatives_comparisons(
tree,
alternatives,
categories_profiles=categories_profiles,
)
return credibility # NoneType, Vividict
def get_discordance(*args, **kwargs):
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
discordance = _get_alternatives_comparisons(
trees['discordance'],
alternatives,
categories_profiles=categories_profiles,
use_partials=use_partials,
)
return discordance # Vividict
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_discordance(*args, **kwargs):
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
discordance = _get_alternatives_comparisons(
trees['discordance'],
alternatives,
categories_profiles=categories_profiles,
use_partials=use_partials,
)
return discordance # Vividict
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',
'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 makeDistilation(
in_selected, in_alternatives, in_credibility, out_descending, out_ascending, out_medianPreorder, out_final
):
xml_alternatives = px.parseValidate(in_alternatives)
xml_selected = px.parseValidate(in_selected)
xml_alternatives = px.parseValidate(in_alternatives)
xml_credibility = px.parseValidate(in_credibility)
if xml_selected == None:
raise ValueError, "Invalid selected file"
if xml_alternatives == None:
raise ValueError, "Invalid alternative file"
if xml_credibility == None:
raise ValueError, "Invalid credibility file"
onCriterion = px.getParameterByName(xml_selected, "selectedCriterion")
alternativesID = px.getAlternativesID(xml_alternatives)
alternativesComparisions = getAlternativesComparisonsAtCriteria(xml_credibility, alternativesID)
if not alternativesComparisions.has_key(onCriterion):
raise ValueError, "Invalid selected criterion"
distillation = Distillation(alternativesID, alternativesComparisions[onCriterion])
output_distillation(out_ascending, distillation.downwards(), "downward distillation", onCriterion)
output_distillation(out_descending, distillation.upwards(), "upward distillation", onCriterion)
output_distillation(out_medianPreorder, distillation.medianPreorder(), "median Preorder", onCriterion)
writeAlternativeComparision(out_final, distillation.intersectionUpDowns, "outranks", onCriterion)
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'criteria.xml',
'interactions.xml',
'method_parameters.xml',
'performance_table.xml',
'weights.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
criteria = px.getCriteriaID(trees['criteria'])
pref_directions = px.getCriteriaPreferenceDirections(
trees['criteria'], criteria)
thresholds = px.getConstantThresholds(trees['criteria'], criteria)
weights = px.getCriterionValue(trees['weights'], criteria)
performances = px.getPerformanceTable(trees['performance_table'], 1, 1)
interactions = get_criteria_interactions(trees['interactions'], criteria)
check_net_balance(interactions, weights)
z_function = px.getParameterByName(trees['method_parameters'],
'z_function')
ret = {
'alternatives': alternatives,
'criteria': criteria,
'interactions': interactions,
'performances': performances,
'pref_directions': pref_directions,
'thresholds': thresholds,
'weights': weights,
'z_function': z_function,
}
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 makeDistilation(in_selected, in_alternatives, in_credibility,
out_descending, out_ascending, out_medianPreorder,
out_final):
xml_alternatives = px.parseValidate(in_alternatives)
xml_selected = px.parseValidate(in_selected)
xml_alternatives = px.parseValidate(in_alternatives)
xml_credibility = px.parseValidate(in_credibility)
if xml_selected == None:
raise ValueError, "Invalid selected file"
if xml_alternatives == None:
raise ValueError, "Invalid alternative file"
if xml_credibility == None:
raise ValueError, "Invalid credibility file"
onCriterion = px.getParameterByName(xml_selected, 'selectedCriterion')
alternativesID = px.getAlternativesID(xml_alternatives)
alternativesComparisions = getAlternativesComparisonsAtCriteria(
xml_credibility, alternativesID)
if not alternativesComparisions.has_key(onCriterion):
raise ValueError, 'Invalid selected criterion'
distillation = Distillation(alternativesID,
alternativesComparisions[onCriterion])
output_distillation(out_ascending, distillation.downwards(),
'downward distillation', onCriterion)
output_distillation(out_descending, distillation.upwards(),
'upward distillation', onCriterion)
output_distillation(out_medianPreorder, distillation.medianPreorder(),
'median Preorder', onCriterion)
writeAlternativeComparision(out_final, distillation.intersectionUpDowns,
'outranks', onCriterion)
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'categories.xml',
'categoriesProfiles.xml',
'credibility.xml',
'method_parameters.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
categories = px.getCategoriesID(trees['categories'])
categories_rank = px.getCategoriesRank(trees['categories'], categories)
categories_profiles = get_categories_profiles_central(trees['categoriesProfiles'])
credibility = getAlternativesComparisons(trees['credibility'], alternatives,
categories_profiles)
cut_threshold = px.getParameterByName(trees['method_parameters'], 'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'categories_rank': categories_rank,
'categories_profiles': categories_profiles,
'credibility': credibility,
'cut_threshold': cut_threshold,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'criteria.xml',
'interactions.xml',
'method_parameters.xml',
'performance_table.xml',
'weights.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
criteria = px.getCriteriaID(trees['criteria'])
pref_directions = px.getCriteriaPreferenceDirections(trees['criteria'], criteria)
thresholds = px.getConstantThresholds(trees['criteria'], criteria)
weights = px.getCriterionValue(trees['weights'], criteria)
performances = px.getPerformanceTable(trees['performance_table'], 1, 1)
interactions = get_criteria_interactions(trees['interactions'], criteria)
check_net_balance(interactions, weights)
z_function = px.getParameterByName(trees['method_parameters'], 'z_function')
ret = {
'alternatives': alternatives,
'criteria': criteria,
'interactions': interactions,
'performances': performances,
'pref_directions': pref_directions,
'thresholds': thresholds,
'weights': weights,
'z_function': z_function,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'categoriesProfiles.xml',
'credibility.xml',
'method_parameters.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
cp_tree = trees['categoriesProfiles']
categories = list(
set(cp_tree.xpath('//categoriesProfiles//limits//categoryID/text()')))
categories_profiles = px.getCategoriesProfiles(trees['categoriesProfiles'],
categories)
profiles_names = [
p for p in cp_tree.xpath('//categoriesProfiles//alternativeID/text()')
]
credibility = getAlternativesComparisons(trees['credibility'],
alternatives, profiles_names)
cut_threshold = px.getParameterByName(trees['method_parameters'],
'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'categories_profiles': categories_profiles,
'credibility': credibility,
'cut_threshold': cut_threshold,
}
return ret
def get_cut_threshold(*args, **kwargs):
cut_threshold = px.getParameterByName(
trees['method_parameters'],
'cut_threshold',
)
if cut_threshold is None or not (0 <= float(cut_threshold) <= 1):
raise InputDataError("'cut_threshold' should be in range [0, 1] "
"(most commonly used values are 0.6 or 0.7).")
return cut_threshold # float
def get_profiles_categories(*args, **kwargs):
#profilesCategories = px.getProfilesCategories(trees['categories_profiles'], None)
comparison_with = kwargs.get('comparison_with')
if comparison_with is None:
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
if comparison_with in ('boundary_profiles', 'central_profiles'):
profilesCategories = _get_profiles_categories(trees['categories_profiles'], comparison_with, trees['categories'])
return profilesCategories
def get_cut_threshold(*args, **kwargs):
cut_threshold = px.getParameterByName(
trees['method_parameters'],
'cut_threshold',
)
if cut_threshold is None or not (0 <= float(cut_threshold) <= 1):
raise InputDataError(
"'cut_threshold' should be in range [0, 1] "
"(most commonly used values are 0.6 or 0.7)."
)
return cut_threshold # float
def get_categories_profiles(*args, **kwargs):
comparison_with = kwargs.get('comparison_with')
if comparison_with is None:
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
categories_profiles = _get_categories_profiles(
trees.get('categories_profiles'),
comparison_with,
)
return categories_profiles # NoneType, dict, list
def get_categories_profiles(*args, **kwargs):
comparison_with = kwargs.get('comparison_with')
if comparison_with is None:
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
categories_profiles = _get_categories_profiles(
trees.get('categories_profiles'),
comparison_with,
)
return categories_profiles # NoneType, dict, list
def makeSelection(in_selected, in_outranking, out_outranking):
xml_outranking = px.parseValidate(in_outranking)
xml_selected = px.parseValidate(in_selected)
if xml_selected == None:
raise ValueError, "Invalid selected file"
if xml_outranking == None:
raise ValueError, "Invalid xml_outranking file"
onCriterion = px.getParameterByName(xml_selected, 'selectedCriterion')
alternativesComparisions = getAlternativesComparisonsAtCriteria(xml_outranking)
if not alternativesComparisions.has_key(onCriterion):
raise ValueError, 'Invalid selected criterion'
writeAlternativeComparisionOnCriterion(out_outranking, alternativesComparisions, onCriterion, 'outranks')
def get_profiles_performance_table(*args, **kwargs):
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
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 InputDataError(msg)
profiles_performance_table = px.getPerformanceTable(
tree, None, None)
else:
profiles_performance_table = None
return profiles_performance_table # NoneType, dict
def get_profiles_performance_table(*args, **kwargs):
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
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 InputDataError(msg)
profiles_performance_table = px.getPerformanceTable(tree, None, None)
else:
profiles_performance_table = None
return profiles_performance_table # NoneType, dict
def check_concordance(xml_concordance, hierarchyArray, outfile):
ret = ""
concordances = px.getCriterionValue(xml_concordance,
[(getOriginalName(v))
for v, k in hierarchyArray.items()],
'Concordance')
if concordances.__len__() > 0:
concordances = calculate_new_concordance(concordances, hierarchyArray)
output_criteriaValues(outfile, concordances, 'Concordance')
else:
check = px.getParameterByName(xml_concordance, 'percentage',
'concordanceLevel')
if check != None:
content = """
<methodParameters name="concordanceLevel">
<parameter name="percentage">
<value><real>%f</real></value>
</parameter>
</methodParameters>""" % check
write_xmcda_content(outfile, content)
def check_concordance(xml_concordance, hierarchyArray, outfile):
ret = ""
concordances = px.getCriterionValue(
xml_concordance, [(getOriginalName(v)) for v, k in hierarchyArray.items()], "Concordance"
)
if concordances.__len__() > 0:
concordances = calculate_new_concordance(concordances, hierarchyArray)
output_criteriaValues(outfile, concordances, "Concordance")
else:
check = px.getParameterByName(xml_concordance, "percentage", "concordanceLevel")
if check != None:
content = (
"""
<methodParameters name="concordanceLevel">
<parameter name="percentage">
<value><real>%f</real></value>
</parameter>
</methodParameters>"""
% check
)
write_xmcda_content(outfile, content)
def get_criterion_concordance_cutting_level_value (xmltree, mcdaConcept=None) :
if mcdaConcept == None :
strSearch = "criteriaValues"
else :
strSearch = "criteriaValues[@mcdaConcept=\'" + mcdaConcept + "\']"
try:
criteriaValues = xmltree.xpath(strSearch)[0]
except:
criteriaValues = None
#return {}
if criteriaValues is None:
return px.getParameterByName(xmltree, 'percentage', 'concordanceLevel')
values = {}
for criterionValue in criteriaValues.findall("./criterionValue"):
crit = criterionValue.find ("criterionID").text
values[crit] = px.getValue (criterionValue)
return values
def get_cv_crossed(*args, **kwargs):
# 'cv_crossed' stands for 'counter-veto 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
cv_crossed = _get_alternatives_comparisons(
trees['counter_veto_crossed'],
alternatives,
categories_profiles=categories_profiles,
use_partials=True,
mcda_concept='counterVetoCrossed',
)
return cv_crossed # Vividict
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 get_cv_crossed(*args, **kwargs):
# 'cv_crossed' stands for 'counter-veto 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
cv_crossed = _get_alternatives_comparisons(
trees['counter_veto_crossed'],
alternatives,
categories_profiles=categories_profiles,
use_partials=True,
mcda_concept='counterVetoCrossed',
)
return cv_crossed # Vividict
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
critAverage = {}
critNormalSD = {}
critTriangSD = {}
# Creating a list for error messages
errorList = []
# 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") :
errorList.append("Some input files are missing")
else :
# We parse all the mandatory input files
xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
xmltree_criteria = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
# We check if all madatory input files are valid
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 not errorList :
alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
criteriaId = PyXMCDA.getCriteriaID(xmltree_criteria)
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 errorList :
# We check if parameters for criteria distribution profile have been provided
if os.path.isfile (in_dir+"/criteriaProfiles.xml") :
xmltree_CritProfile = PyXMCDA.parseValidate(in_dir+"/criteriaProfiles.xml")
if xmltree_CritProfile == None :
errorList.append ("criteriaProfiles file can't be validated.")
else :
critAverage = PyXMCDA.getNamedParametersByName (xmltree_CritProfile, "distributionAverage")
critNormalSD = PyXMCDA.getNamedParametersByName (xmltree_CritProfile, "normalDistributionStandardDeviation")
critTriangSD = PyXMCDA.getNamedParametersByName (xmltree_CritProfile, "triangularDistributionStandardDeviation")
# ...
if not errorList :
# We check if a seed is provided for the random generation
if os.path.isfile (in_dir+"/seed.xml") :
xmltree_seed = PyXMCDA.parseValidate(in_dir+"/seed.xml")
if xmltree_seed == None :
errorList.append ("seed file can't be validated.")
else :
seed = PyXMCDA.getParameterByName (xmltree_seed, "seed")
if not isinstance(seed,int) :
errorList.append ("seed value should be a strictly positive integer")
else :
if seed <= 0 :
errorList.append ("seed should be a strictly positive integer")
else:
# We initialize the random generator
random.seed(seed)
if not errorList :
for i in range(20):
print random.random()
# We recover criteria scale information
criteriaTypes = PyXMCDA.getCriteriaScalesTypes (xmltree_criteria, criteriaId)
criteriaDir = PyXMCDA.getCriteriaPreferenceDirections (xmltree_criteria, criteriaId)
criteriaUB = PyXMCDA.getCriteriaUpperBounds (xmltree_criteria, criteriaId)
criteriaLB = PyXMCDA.getCriteriaLowerBounds (xmltree_criteria, criteriaId)
criteriaRL = PyXMCDA.getCriteriaRankedLabel (xmltree_criteria, criteriaId)
# We add some default lower and upper bounds
for crit in criteriaId :
if not criteriaLB.has_key (crit) or criteriaLB[crit] == None :
if criteriaTypes[crit] == "quantitative" :
criteriaLB[crit] = 0.0
else :
criteriaLB[crit] = 1
if not criteriaUB.has_key (crit) or criteriaUB[crit] == None :
if criteriaTypes[crit] == "quantitative" :
criteriaUB[crit] = 100.0
else :
if criteriaRL.has_key(crit) and criteriaRL[crit] != None :
criteriaUB[crit] = len(criteriaRL[crit])
else :
criteriaUB[crit] = 10
# We construct the performance Tableau
Tab = {}
for crit in criteriaId :
Tab[crit] = {}
if critNormalSD.has_key(crit) :
sd = critNormalSD[crit]
if critAverage.has_key(crit) :
average = critAverage[crit]
else :
average = (criteriaLB[crit] + criteriaUB[crit])/2.0
for alt in alternativesId :
temp = criteriaLB[crit] -1
while temp < criteriaLB[crit] or temp > criteriaUB[crit] :
temp = random.gauss (average,sd)
Tab[crit][alt] = temp
if criteriaTypes[crit] == "qualitative" :
Tab[crit][alt] = int(Tab[crit][alt])
elif critTriangSD.has_key (crit) :
for alt in alternativesId :
# TO BE CHANGED !!!
Tab[crit][alt] = random.randint (criteriaLB[crit], criteriaUB[crit])
else :
for alt in alternativesId :
if criteriaTypes[crit] == "quantitative" :
Tab[crit][alt] = float(random.randint (criteriaLB[crit]*100, criteriaUB[crit]*100))/100.0
else :
Tab[crit][alt] = random.randint (criteriaLB[crit], criteriaUB[crit])
# We construct the performanceTable.xml file
filePerfTable = open(out_dir+"/performanceTable.xml", 'w')
PyXMCDA.writeHeader (filePerfTable)
filePerfTable.write ("<performanceTable>\n")
for alt in alternativesId :
filePerfTable.write ("\t<alternativePerformances>\n\t\t<alternativeID>" + alt + "</alternativeID>\n")
for crit in criteriaId :
if criteriaTypes[crit] == "quantitative" :
filePerfTable.write ("\t\t<performance>\n\t\t\t<criterionID>" + crit + "</criterionID>\n\t\t\t<value><real>"+ str(Tab[crit][alt]) + "</real></value>\n\t\t</performance>\n")
else :
filePerfTable.write ("\t\t<performance>\n\t\t\t<criterionID>" + crit + "</criterionID>\n\t\t\t<value><integer>"+ str(Tab[crit][alt]) + "</integer></value>\n\t\t</performance>\n")
filePerfTable.write ("\t</alternativePerformances>\n")
filePerfTable.write ("</performanceTable>\n")
PyXMCDA.writeFooter(filePerfTable)
filePerfTable.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 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 == '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_param_boolean(param_name, *args, **kwargs):
parameter = px.getParameterByName(
trees['method_parameters'],
param_name,
)
return True if parameter == 'true' else False
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
# Initialising a list of dictionaries for the preferences
prefDir = {}
critType = {}
lowerBound = {}
upperBound = {}
levelNumber = {}
thresholds = {}
# Creating a list for error messages
errorList = []
# If some mandatory input files are missing
if not os.path.isfile (in_dir+"/nbCriteria.xml") and not os.path.isfile (in_dir+"/criteriaNames.xml") :
errorList.append("No parameter has been provided. You should provide a number of criteria (using nbCriteria.xml file) or a list of criteria names (using criteriaNames.xml file).")
else :
# User provides a list of criteria names
if os.path.isfile (in_dir+"/criteriaNames.xml") :
# We parse the input file
xmltree_CritNames = PyXMCDA.parseValidate(in_dir+"/criteriaNames.xml")
if xmltree_CritNames == None :
errorList.append ("criteriaNames file can't be validated.")
else :
# We record the criteria names in critNames
critNames = PyXMCDA.getParametersByName (xmltree_CritNames, "criteriaNames")
if not critNames :
errorList.append ("No criterion name has been found in criteriaNames file. Is your file correct ?")
# User provides a number of criteria
else :
# We parse the input file
xmltree_nbCrit = PyXMCDA.parseValidate(in_dir+"/nbCriteria.xml")
if xmltree_nbCrit == None :
errorList.append ("nbCriteria file can't be validated.")
else :
nbCrit = PyXMCDA.getParameterByName (xmltree_nbCrit, "nbCriteria")
# We check the validity of the parameter
if not nbCrit :
errorList.append ("nbCriteria parameter not provided. It should be a strict positive integer.")
if not errorList and not isinstance(nbCrit,int) :
errorList.append ("nbCriteria value should be a strict positive integer.")
if not errorList and nbCrit <= 0 :
errorList.append ("nbCriteria value should be a scrict positive integer.")
# We check if a prefix parameter has been provided
if not errorList :
if os.path.isfile (in_dir+"/criteriaPrefix.xml") :
xmltree_CritPrefix = PyXMCDA.parseValidate(in_dir+"/criteriaPrefix.xml")
if xmltree_CritPrefix == None :
errorList.append ("criteriaPrefix file can't be validated.")
else :
critPrefix = PyXMCDA.getParameterByName (xmltree_CritPrefix, "criteriaPrefix")
# We check the validity of the parameter
if not isinstance(critPrefix,str) :
errorList.append ("criteriaPrefix parameter should be a label")
else :
# If no prefix has been provided, the criteria will be called g1, g2, ...
critPrefix = "g"
if not errorList :
# We create the critNames list
critNames = []
for nb in range(nbCrit) :
critNames.append(critPrefix+str(nb+1))
if not errorList :
# We check if a seed is provided for the random generation
if os.path.isfile (in_dir+"/seed.xml") :
xmltree_seed = PyXMCDA.parseValidate(in_dir+"/seed.xml")
if xmltree_seed == None :
errorList.append ("seed file can't be validated.")
else :
seed = PyXMCDA.getParameterByName (xmltree_seed, "seed")
if not isinstance(seed,int) :
errorList.append ("seed value should be a strictly positive integer")
else :
if seed <= 0 :
errorList.append ("seed should be a strictly positive integer")
else:
# We initialize the random generator
random.seed(seed)
if not errorList :
# We check if a preferenceDirection file has been provided
if os.path.isfile (in_dir+"/preferenceDirection.xml") :
xmltree_PrefDir = PyXMCDA.parseValidate(in_dir+"/preferenceDirection.xml")
if xmltree_PrefDir == None :
errorList.append ("preferenceDirection file can't be validated.")
else :
prefDir = PyXMCDA.getNamedParametersByName (xmltree_PrefDir, "preferenceDirection")
if not prefDir :
errorList.append("No preference direction found. Is your preferenceDirection file correct ?")
if not errorList :
# We check if a criteriaType file has been provided
if os.path.isfile (in_dir+"/criteriaType.xml") :
xmltree_CritType = PyXMCDA.parseValidate(in_dir+"/criteriaType.xml")
if xmltree_CritType == None :
errorList.append ("criteriaType file can't be validated.")
else :
critType = PyXMCDA.getNamedParametersByName (xmltree_CritType, "criteriaType")
if not critType :
errorList.append("No criterion type found. Is your criteriaType file correct ?")
if not errorList :
# We check if a lowerBound file has been provided
if os.path.isfile (in_dir+"/lowerBounds.xml") :
xmltree_LowerBound = PyXMCDA.parseValidate(in_dir+"/lowerBounds.xml")
if xmltree_LowerBound == None :
errorList.append ("lowerBounds file can't be validated.")
else :
lowerBound = PyXMCDA.getNamedParametersByName (xmltree_LowerBound, "lowerBounds")
if not lowerBound :
errorList.append("No lower bound found. Is your lowerBounds file correct ?")
if not errorList :
# We check if an upperBound file has been provided
if os.path.isfile (in_dir+"/upperBounds.xml") :
xmltree_UpperBound = PyXMCDA.parseValidate(in_dir+"/upperBounds.xml")
if xmltree_UpperBound == None :
errorList.append ("upperBounds file can't be validated.")
else :
upperBound = PyXMCDA.getNamedParametersByName (xmltree_UpperBound, "upperBounds")
if not upperBound :
errorList.append("No upper bound found. Is your upperBounds file correct ?")
if not errorList :
# We check if a numberOfLevels parameter has been provided
if os.path.isfile (in_dir+"/numberOfLevels.xml") :
xmltree_levelNumber = PyXMCDA.parseValidate(in_dir+"/numberOfLevels.xml")
if xmltree_levelNumber == None :
errorList.append ("numberOfLevels file can't be validated.")
else :
levelNumber = PyXMCDA.getNamedParametersByName (xmltree_levelNumber, "numberOfLevels")
if not levelNumber :
errorList.append("No number of levels found. Is your numberOfLevels file correct ?")
if not errorList :
# We check if a thresholdsNames file has been provided
if os.path.isfile (in_dir+"/thresholdsNames.xml") :
xmltree_Thresholds = PyXMCDA.parseValidate(in_dir+"/thresholdsNames.xml")
if xmltree_Thresholds == None :
errorList.append ("thresholdsNames file can't be validated.")
else :
thresholds = PyXMCDA.getParametersByName (xmltree_Thresholds, "thresholdsNames")
if not thresholds :
errorList.append("No threshold name found. Is your thresholdsNames file correct ?")
if not errorList :
# We create the criteria.xml file
fileCrit = open(out_dir+"/criteria.xml", 'w')
PyXMCDA.writeHeader (fileCrit)
fileCrit.write ("<criteria>\n")
for crit in critNames :
fileCrit.write ("\t<criterion id='" + crit + "'>\n\t\t<active>true</active>\n\t\t<scale>\n")
# Opening qualitative or quantitative tag
if critType.has_key (crit) and critType[crit] == "qualitative" :
fileCrit.write ("\t\t\t<qualitative>\n")
varBoundType = "integer"
if levelNumber.has_key (crit) :
numberOfLevels = levelNumber[crit]
valLB = 1
valUB = numberOfLevels
else :
numberOfLevels = 10
valLB = 1
valUB = 10
else :
# By default, a criterion is quantitative
fileCrit.write ("\t\t\t<quantitative>\n")
varBoundType = "real"
if lowerBound.has_key (crit) :
valLB = lowerBound[crit]
else :
valLB = 0.0
if upperBound.has_key (crit) :
valUB = upperBound[crit]
else :
valUB = 100.0
# Preference direction information
if prefDir.has_key (crit) and prefDir[crit] == "min" :
fileCrit.write ("\t\t\t\t<preferenceDirection>min</preferenceDirection>\n")
else :
# By default, the preference direction is "max"
fileCrit.write ("\t\t\t\t<preferenceDirection>max</preferenceDirection>\n")
if critType.has_key (crit) and critType[crit] == "qualitative" :
for nb in range (numberOfLevels) :
fileCrit.write ("\t\t\t\t<rankedLabel><label>"+str(nb+1)+"</label><rank>"+str(nb+1)+"</rank></rankedLabel>\n")
else :
# Writing minimum tag for the lower bound
fileCrit.write ("\t\t\t\t<minimum><"+varBoundType+">")
if lowerBound.has_key (crit) :
valLB = lowerBound[crit]
fileCrit.write (str(valLB)+"</"+varBoundType+"></minimum>\n")
# Writing maximum tag for the upper bound
fileCrit.write ("\t\t\t\t<maximum><"+varBoundType+">")
fileCrit.write (str(valUB)+"</"+varBoundType+"></maximum>\n")
# Closing quantitative or qualitative tag
if critType.has_key (crit) and critType[crit] == "qualitative" :
fileCrit.write("\t\t\t</qualitative>\n")
else :
fileCrit.write("\t\t\t</quantitative>\n")
# Closing scale tag
fileCrit.write("\t\t</scale>\n")
# Writing thresholds tag
if thresholds :
fileCrit.write ("\t\t<thresholds>\n")
pos = 0
for thre in thresholds :
if critType.has_key (crit) and critType[crit] == "qualitative" :
# Writing a random integer
valThre = random.randint(valLB+pos*(valUB-valLB)/len(thresholds),valLB+(pos+1)*(valUB-valLB)/len(thresholds))
else :
# Writing a random real
valThre = float(random.randint(int((valLB+pos*(valUB-valLB)/len(thresholds)))*100,int((valLB+(pos+1)*(valUB-valLB)/len(thresholds)))*100))/100
fileCrit.write ("\t\t\t<threshold id='"+thre+"'>\n\t\t\t\t<constant><"+varBoundType+">"+str(valThre)+"</"+varBoundType+"></constant>\n")
fileCrit.write ("\t\t\t</threshold>\n")
pos += 1
fileCrit.write ("\t\t</thresholds>\n")
# Closing criterion tag
fileCrit.write("\t</criterion>\n")
fileCrit.write ("</criteria>\n")
PyXMCDA.writeFooter(fileCrit)
fileCrit.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_param_boolean(param_name, *args, **kwargs):
parameter = px.getParameterByName(
trees['method_parameters'],
param_name,
)
return True if parameter == 'true' else False
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 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 + "/criteriaWeights.xml")
or not os.path.isfile(in_dir + "/performanceTable.xml")
):
errorList.append("Some input files are missing")
else:
# We parse all the mandatory input files
xmltree_alternatives = PyXMCDA.parseValidate(in_dir + "/alternatives.xml")
xmltree_criteria = PyXMCDA.parseValidate(in_dir + "/criteria.xml")
xmltree_weights = PyXMCDA.parseValidate(in_dir + "/criteriaWeights.xml")
xmltree_perfTable = PyXMCDA.parseValidate(in_dir + "/performanceTable.xml")
# We check if all madatory input files are valid
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_weights == None:
errorList.append("The criteria weights file can't be validated.")
# By default, the valuation domain is fixed to [0,1]
minValDomain = 0
maxValDomain = 1
# If a valuation domain input file has been provided
if os.path.isfile(in_dir + "/valuationDomain.xml"):
xmltree_valuation = PyXMCDA.parseValidate(in_dir + "/valuationDomain.xml")
if xmltree_valuation == None:
errorList.append("valuationDomain file can't be validated.")
else:
minValDomain = PyXMCDA.getParameterByName(xmltree_valuation, "min", "valuationDomain")
maxValDomain = PyXMCDA.getParameterByName(xmltree_valuation, "max", "valuationDomain")
# We check the validity of the parameters
if not isinstance(minValDomain, float) and not isinstance(minValDomain, int):
errorList.append("min value should be an integer or a real")
if not isinstance(maxValDomain, float) and not isinstance(maxValDomain, int):
errorList.append("max value should be an integer or a real")
if not errorList:
if minValDomain >= maxValDomain:
errorList.append("The max value should be strictly greater than the min value")
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)
weights = PyXMCDA.getCriterionValue(xmltree_weights, 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 weights:
errorList.append("No weights found. Is your weights file correct ?")
if not errorList:
# We compute the weight sum (only the weights associated to active criteria)
sumWeights = 0.0
for crit in criteriaId:
try:
sumWeights = sumWeights + weights[crit]
except:
errorList.append("There is no defined weight for criterion " + crit + ".")
if not errorList:
# We recover the criteria preference directions
# criteriaDir = PyXMCDA.getCriteriaPreferenceDirections (xmltree_criteria, criteriaId)
# Plus necessaire
# We compute the alternative comparisons values
fileAltValues = open(out_dir + "/alternativesComparisons.xml", "w")
PyXMCDA.writeHeader(fileAltValues)
# We write some information about the generated file
fileAltValues.write(
"\t<projectReference>\n\t\t<title>Rubis outranking relation</title>\n\t\t<version>"
+ VERSION
+ "</version>\n\t\t<author>ws_PyXMCDA suite (TV)</author>\n\t</projectReference>\n\n"
)
fileAltValues.write("\t<alternativesComparisons>\n\t\t<pairs>\n")
# ATTENTION Solution rustine
# On retourne ici le tableau de perf pour les criteres a minimiser
# Devra etre fait par le getRubisElementaryOutranking
criteriaDir = PyXMCDA.getCriteriaPreferenceDirections(xmltree_criteria, criteriaId)
for crit in criteriaId:
if criteriaDir[crit] == "min":
for alt in alternativesId:
perfTable[alt][crit] = -perfTable[alt][crit]
ElemOut = PyXMCDA.getRubisElementaryOutranking(alternativesId, criteriaId, perfTable, thresholds)
tabVetos = PyXMCDA.getVetos(alternativesId, criteriaId, perfTable, thresholds)
for alt1 in alternativesId:
for alt2 in alternativesId:
fileAltValues.write(
"\t\t\t<pair>\n\t\t\t\t<initial><alternativeID>"
+ alt1
+ "</alternativeID></initial>\n\t\t\t\t<terminal><alternativeID>"
+ alt2
+ "</alternativeID></terminal>\n"
)
# Verifier s'il manque des valeurs !!! try expect
# fileAltValues.write ("\t\t\t\t<value><NA>not available</NA></value>\n\t\t\t</pair>\n")
sum = 0.0
isVeto = 0
isWeakVeto = 0
for crit in criteriaId:
sum += ElemOut[alt1][alt2][crit] * weights[crit]
# On verifie si un veto est leve
if (
tabVetos.has_key(alt1)
and tabVetos[alt1].has_key(alt2)
and tabVetos[alt1][alt2].has_key(crit)
and tabVetos[alt1][alt2][crit] == 1
):
isVeto = 1
# On verifie si un veto faible est leve
if (
tabVetos.has_key(alt1)
and tabVetos[alt1].has_key(alt2)
and tabVetos[alt1][alt2].has_key(crit)
and tabVetos[alt1][alt2][crit] == 0.5
):
isWeakVeto = 1
sum = sum / sumWeights
if isVeto == 1:
# On utilise le veto classique, qui met la valeur minimale
sum = 0.0
elif isWeakVeto == 1 and sum > 0.5:
# Un veto faible est leve
sum = 0.5
# La valeur est entre 0 et 1, on la met dans le bon intervalle
sum = (maxValDomain - minValDomain) * sum + minValDomain
fileAltValues.write("\t\t\t\t<value><real>" + str(sum) + "</real></value>\n\t\t\t</pair>\n")
fileAltValues.write("\t\t</pairs>\n\t</alternativesComparisons>\n")
PyXMCDA.writeFooter(fileAltValues)
fileAltValues.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_param_real(param_name, *args, **kwargs):
param = px.getParameterByName(trees['method_parameters'], param_name)
return float(param)
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 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 get_param_string(param_name, *args, **kwargs):
param = px.getParameterByName(trees['method_parameters'], param_name)
return param
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
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+"/preferenceRelation.xml"):
errorList.append("preferenceRelation.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_preferenceRelation = PyXMCDA.parseValidate(in_dir+"/preferenceRelation.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_preferenceRelation == None :
errorList.append("preferenceRelation.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.getAlternativesComparisonsValues(xmltree_preferenceRelation, alternativesId)
method_type = PyXMCDA.getParameterByName(xmltree_methodParameters, "type")
if not alternativesId :
errorList.append("No active alternatives found.")
if not alternativesRel :
errorList.append("Problems between relation and alternatives.")
if not method_type:
errorList.append("No method type 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
else:
if not ('i' in alternativesRel[o][p]):
missing_eval = True
break
if not ('p+' in alternativesRel[o][p]):
missing_eval = True
break
if not ('p-' in alternativesRel[o][p]):
missing_eval = True
break
if not ('j' in alternativesRel[o][p]):
missing_eval = True
break
if missing_eval:
errorList.append("Not all alternatives from alternatives.xml contain evaluations in preferenceRelation.xml, or evaluations are incomplete. Possible inputs from different sources")
if not errorList :
alg = Mcc(alternativesId, alternativesRel, method_type)
K, RK = alg.Run()
fo = open(out_dir+"/alternativesAffectations.xml",'w')
PyXMCDA.writeHeader(fo)
fo.write('<alternativesAffectations>\n')
for i in range(len(K)):
for o in K[i]:
fo.write('\t<alternativeAffectation>\n\t\t<alternativeID>'+o+'</alternativeID>\n\t\t<categoryID>'+'K'+str(i+1)+'</categoryID>\n\t</alternativeAffectation>\n')
fo.write('</alternativesAffectations>')
PyXMCDA.writeFooter(fo)
fo.close()
fo = open(out_dir+"/clustersRelations.xml",'w')
PyXMCDA.writeHeader(fo)
fo.write('<categoriesComparisons>\n')
fo.write('\t<pairs>\n')
for i in range(len(K)):
for j in range(len(K)):
fo.write('\t\t<pair>\n')
fo.write('\t\t\t<initial>\n')
fo.write('\t\t\t\t<categoryID>'+'K'+str(i+1)+'</categoryID>\n')
fo.write('\t\t\t</initial>\n')
fo.write('\t\t\t<terminal>\n')
fo.write('\t\t\t\t<categoryID>'+'K'+str(j+1)+'</categoryID>\n')
fo.write('\t\t\t</terminal>\n')
fo.write('\t\t\t<value>\n')
fo.write('\t\t\t\t<label>'+RK[i][j]+'</label>\n')
fo.write('\t\t\t</value>\n')
fo.write('\t\t</pair>\n')
fo.write('\t</pairs>\n')
fo.write('</categoriesComparisons>')
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_param_string(param_name, *args, **kwargs):
param = px.getParameterByName(trees['method_parameters'], param_name)
return param
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 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+"/criteriaWeights.xml") or not os.path.isfile (in_dir+"/performanceTable.xml") :
errorList.append("Some input files are missing")
else :
# We parse all the mandatory input files
xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
xmltree_criteria = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
xmltree_weights = PyXMCDA.parseValidate(in_dir+"/criteriaWeights.xml")
xmltree_perfTable = PyXMCDA.parseValidate(in_dir+"/performanceTable.xml")
# We check if all madatory input files are valid
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_weights == None :
errorList.append("The criteria weights file can't be validated.")
# By default, the valuation domain is fixed to [0,1]
minValDomain = 0
maxValDomain = 1
# If a valuation domain input file has been provided
if os.path.isfile (in_dir+"/valuationDomain.xml") :
xmltree_valuation = PyXMCDA.parseValidate(in_dir+"/valuationDomain.xml")
if xmltree_valuation == None :
errorList.append ("valuationDomain file can't be validated.")
else :
minValDomain = PyXMCDA.getParameterByName (xmltree_valuation, "min", "valuationDomain")
maxValDomain = PyXMCDA.getParameterByName (xmltree_valuation, "max", "valuationDomain")
# We check the validity of the parameters
if not isinstance(minValDomain,float) and not isinstance(minValDomain,int) :
errorList.append ("min value should be an integer or a real")
if not isinstance(maxValDomain,float) and not isinstance(maxValDomain,int) :
errorList.append ("max value should be an integer or a real")
if not errorList :
if minValDomain >= maxValDomain :
errorList.append ("The max value should be strictly greater than the min value")
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)
weights = PyXMCDA.getCriterionValue (xmltree_weights, 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 weights :
errorList.append("No weights found. Is your weights file correct ?")
if not errorList :
# We compute the weight sum (only the weights associated to active criteria)
sumWeights = 0.0
for crit in criteriaId :
try :
sumWeights = sumWeights + weights[crit]
except :
errorList.append("There is no defined weight for criterion "+crit+".")
if not errorList :
# We recover the criteria preference directions
criteriaDir = PyXMCDA.getCriteriaPreferenceDirections (xmltree_criteria, criteriaId)
# We compute the alternative comparisons values
fileAltValues = open(out_dir+"/alternativesComparisons.xml", 'w')
PyXMCDA.writeHeader (fileAltValues)
fileAltValues.write ("\t<alternativesComparisons>\n\t\t<pairs>\n")
ElemOut = PyXMCDA.getRubisElementaryOutranking (alternativesId, criteriaId, perfTable, thresholds)
for alt1 in alternativesId :
for alt2 in alternativesId :
fileAltValues.write("\t\t\t<pair>\n\t\t\t\t<initial><alternativeID>"+alt1+"</alternativeID></initial>\n\t\t\t\t<terminal><alternativeID>"+alt2+"</alternativeID></terminal>\n")
# Verifier s'il manque des valeurs !!! try expect
#fileAltValues.write ("\t\t\t\t<value><NA>not available</NA></value>\n\t\t\t</pair>\n")
sum = 0.0
for crit in criteriaId :
sum += ElemOut[alt1][alt2][crit] * weights[crit]
sum = sum/sumWeights
# La valeur est entre 0 et 1, on la met dans le bon intervalle
sum = (maxValDomain - minValDomain)*sum + minValDomain
fileAltValues.write ("\t\t\t\t<value><real>"+str(sum)+"</real></value>\n\t\t\t</pair>\n")
fileAltValues.write ("\t\t</pairs>\n\t</alternativesComparisons>\n")
PyXMCDA.writeFooter(fileAltValues)
fileAltValues.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 some mandatory input files are missing
if not os.path.isfile(in_dir + "/nbAlternatives.xml") and not os.path.isfile(in_dir + "/alternativesNames.xml"):
errorList.append(
"No parameter has been provided. You should provide a number of alternatives (using nbAlternatives.xml file) or a list of alternatives names (using alternativesNames.xml file)."
)
else:
# User provide a list of alternatives names
if os.path.isfile(in_dir + "/alternativesNames.xml"):
# We parse the input file
xmltree_AltNames = PyXMCDA.parseValidate(in_dir + "/alternativesNames.xml")
if xmltree_AltNames == None:
errorList.append("alternativesNames file can't be validated.")
else:
# We record the alternatives names in altNames
altNames = PyXMCDA.getParametersByName(xmltree_AltNames, "alternativesNames")
if not altNames:
errorList.append(
"No alternative name has been found in alternativesNames file. Is your file correct ?"
)
# user provide a number of alternatives
else:
# We parse the input file
xmltree_nbAlt = PyXMCDA.parseValidate(in_dir + "/nbAlternatives.xml")
if xmltree_nbAlt == None:
errorList.append("nbAlternatives file can't be validated.")
else:
nbAlt = PyXMCDA.getParameterByName(xmltree_nbAlt, "nbAlternatives")
# We check the validity of the parameter
if not nbAlt:
errorList.append("nbAlternatives parameter not provided. It should be a strict positive integer.")
if not errorList and not isinstance(nbAlt, int):
errorList.append("nbAlternatives value should be a strict positive integer.")
if not errorList and nbAlt <= 0:
errorList.append("nbAlternatives value should be a scrict positive integer.")
# We check if a prefix parameter has been provided
if not errorList:
if os.path.isfile(in_dir + "/alternativesPrefix.xml"):
xmltree_AltPrefix = PyXMCDA.parseValidate(in_dir + "/alternativesPrefix.xml")
if xmltree_AltPrefix == None:
errorList.append("alternativesPrefix file can't be validated.")
else:
altPrefix = PyXMCDA.getParameterByName(xmltree_AltPrefix, "alternativesPrefix")
# We check the validity of the parameter
if not isinstance(altPrefix, str):
errorList.append("alternativesPrefix parameter should be a label")
else:
# If no prefix has been provided, the alternatives will be called a1, a2, ...
altPrefix = "a"
if not errorList:
# We create the altNames list
altNames = []
for nb in range(nbAlt):
altNames.append(altPrefix + str(nb + 1))
if not errorList:
# We create the alternatives.xml file
fileAlt = open(out_dir + "/alternatives.xml", "w")
PyXMCDA.writeHeader(fileAlt)
fileAlt.write("<alternatives>\n")
for alt in altNames:
fileAlt.write("\t<alternative id='" + alt + "'>\n\t\t<active>true</active>\n\t</alternative>\n")
fileAlt.write("</alternatives>\n")
PyXMCDA.writeFooter(fileAlt)
fileAlt.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()
