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_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',
'method_parameters.xml',
'outranking.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
alternatives.sort()
outranking = get_intersection_distillation(trees['outranking'],
alternatives)
if outranking == None:
outranking = px.getAlternativesComparisons(trees['outranking'],
alternatives)
eliminate_cycles_method = px.getParameterByName(trees['method_parameters'],
'eliminate_cycles_method')
if eliminate_cycles_method not in ['aggregate', 'cut_weakest']:
raise RuntimeError("Invalid/missing method for cycle elimination.")
cut_threshold = px.getParameterByName(trees['method_parameters'],
'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'cut_threshold': cut_threshold,
'eliminate_cycles_method': eliminate_cycles_method,
'outranking': outranking,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'method_parameters.xml',
'outranking.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
alternatives.sort()
outranking = get_intersection_distillation(trees['outranking'], alternatives)
if outranking == None:
outranking = px.getAlternativesComparisons(trees['outranking'], alternatives)
eliminate_cycles_method = px.getParameterByName(trees['method_parameters'],
'eliminate_cycles_method')
if eliminate_cycles_method not in ['aggregate', 'cut_weakest']:
raise RuntimeError("Invalid/missing method for cycle elimination.")
cut_threshold = px.getParameterByName(trees['method_parameters'], 'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'cut_threshold': cut_threshold,
'eliminate_cycles_method': eliminate_cycles_method,
'outranking': outranking,
}
return ret
def get_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 writeAlternativeComparision(self, filename, comparisionMx, comparisionType=None):
outfile = open(filename, 'w')
px.writeHeader(outfile)
for key, item in comparisionMx.items() :
if self.criteria.has_key(key.name):
outfile.write('\t<alternativesComparisons mcdaConcept="Pairwise comparison">\n')
if comparisionType != None :
outfile.write("\t\t<comparisonType>%s</comparisonType>\n" % comparisionType)
outfile.write("\t\t<criterionID>%s</criterionID>\n" % key.name)
outfile.write('\t\t<pairs>\n')
for key1, item1 in item.items():
for key2, item2 in item1.items():
outfile.write("""\t\t\t<pair>
<initial>
<alternativeID>%s</alternativeID>
</initial>
<terminal>
<alternativeID>%s</alternativeID>
</terminal>
<value>
<real>%s</real>
</value>
</pair>\n""" % (key1, key2, item2))
outfile.write('\t\t</pairs>\n')
outfile.write('\t</alternativesComparisons>\n')
else:
pass
px.writeFooter(outfile)
outfile.close()
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 write_xmcda_content(filename, content=None):
outfile = open(filename, 'w')
px.writeHeader(outfile)
if content != None:
outfile.write(content)
px.writeFooter(outfile)
outfile.close()
def output_criteria(filename, criteria_ids, xml_crit):
oldCriteriaIDs = px.getCriteriaID(xml_crit)
trivial = trivialCopy(xml_crit, oldCriteriaIDs)
#critScale = px.getCriteriaScalesTypes(xml_crit, oldCriteriaIDs)
#critThresholds = px.getConstantThresholds(xml_crit, oldCriteriaIDs)
#critPreference = px.getCriteriaPreferenceDirections(xml_crit, oldCriteriaIDs)
outfile = open(filename, 'w')
px.writeHeader(outfile)
outfile.write(' <criteria>\n')
for id in sorted(criteria_ids):
oldID = getOriginalName(id)
if not oldID in oldCriteriaIDs:
pass
#outfile.write('''
#<criterion id="%s" name="%s"/>
#''' % (id,id))
else:
#print trivial
#print oldID
outfile.write('''
<criterion id="%s" name="%s">\n%s
</criterion>''' % (id, id, trivial[oldID]))
outfile.write(' </criteria>\n')
px.writeFooter(outfile)
outfile.close()
def write_xmcda_content(filename, content=None):
outfile = open(filename, "w")
px.writeHeader(outfile)
if content != None:
outfile.write(content)
px.writeFooter(outfile)
outfile.close()
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'concordance.xml',
'method_parameters.xml',
'discordance_binary.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
# we can also get alternatives from 'concordance.xml', therefore 'alternatives.xml'
# can be optional - like here:
# alternatives = list(set([i.text for i in trees['concordance'].findall(".//alternativeID")]))
concordance = px.getAlternativesComparisons(trees['concordance'], alternatives)
discordance_binary = px.getAlternativesComparisons(trees['discordance_binary'], alternatives)
cut_threshold = px.getParameterByName(trees['method_parameters'], 'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'concordance': concordance,
'cut_threshold': cut_threshold,
'discordance_binary': discordance_binary,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'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_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_pref_directions(*args, **kwargs):
criteria = px.getCriteriaID(trees['criteria'])
pref_directions = px.getCriteriaPreferenceDirections(
trees['criteria'],
criteria,
)
return pref_directions # dict
def output_criteria(filename, criteria_ids, xml_crit):
oldCriteriaIDs = px.getCriteriaID(xml_crit)
trivial = trivialCopy(xml_crit, oldCriteriaIDs)
# critScale = px.getCriteriaScalesTypes(xml_crit, oldCriteriaIDs)
# critThresholds = px.getConstantThresholds(xml_crit, oldCriteriaIDs)
# critPreference = px.getCriteriaPreferenceDirections(xml_crit, oldCriteriaIDs)
outfile = open(filename, "w")
px.writeHeader(outfile)
outfile.write(" <criteria>\n")
for id in sorted(criteria_ids):
oldID = getOriginalName(id)
if not oldID in oldCriteriaIDs:
pass
# outfile.write('''
# <criterion id="%s" name="%s"/>
#''' % (id,id))
else:
# print trivial
# print oldID
outfile.write(
"""
<criterion id="%s" name="%s">\n%s
</criterion>"""
% (id, id, trivial[oldID])
)
outfile.write(" </criteria>\n")
px.writeFooter(outfile)
outfile.close()
def get_pref_directions(*args, **kwargs):
criteria = px.getCriteriaID(trees['criteria'])
pref_directions = px.getCriteriaPreferenceDirections(
trees['criteria'],
criteria,
)
return pref_directions # dict
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'concordance.xml',
'method_parameters.xml',
'discordance_binary.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
# we can also get alternatives from 'concordance.xml', therefore 'alternatives.xml'
# can be optional - like here:
# alternatives = list(set([i.text for i in trees['concordance'].findall(".//alternativeID")]))
concordance = px.getAlternativesComparisons(trees['concordance'],
alternatives)
discordance_binary = px.getAlternativesComparisons(
trees['discordance_binary'], alternatives)
cut_threshold = px.getParameterByName(trees['method_parameters'],
'cut_threshold')
check_cut_threshold(cut_threshold)
ret = {
'alternatives': alternatives,
'concordance': concordance,
'cut_threshold': cut_threshold,
'discordance_binary': discordance_binary,
}
return ret
def get_weights(*args, **kwargs):
criteria = px.getCriteriaID(trees['criteria'])
if len(criteria) == 0:
msg = ("File 'criteria.xml' doesn't contain valid data for this "
"method.")
raise InputDataError(msg)
weights = px.getCriterionValue(trees['weights'], criteria)
return weights # dict
def output_criteria(filename, criteria_ids):
outfile = open(filename, 'w')
px.writeHeader(outfile)
outfile.write(' <criteria>\n')
for id in criteria_ids:
outfile.write(' <criterion id="%s" />\n' % id)
outfile.write(' </criteria>\n')
px.writeFooter(outfile)
outfile.close()
def output_criteria(filename, criteria_ids):
outfile = open(filename, 'w')
px.writeHeader(outfile)
outfile.write(' <criteria>\n')
for id in criteria_ids:
outfile.write(' <criterion id="%s" />\n' % id)
outfile.write(' </criteria>\n')
px.writeFooter(outfile)
outfile.close()
def get_weights(*args, **kwargs):
criteria = px.getCriteriaID(trees['criteria'])
if len(criteria) == 0:
msg = (
"File 'criteria.xml' doesn't contain valid data for this "
"method."
)
raise InputDataError(msg)
weights = px.getCriterionValue(trees['weights'], criteria)
return weights # dict
def create_messages_file(log_msg, err_msg, out_dir):
with open(os.path.join(out_dir, 'messages.xml'), 'w') as f:
px.writeHeader(f)
if err_msg:
px.writeErrorMessages(f, err_msg)
elif log_msg:
px.writeLogMessages(f, log_msg)
else:
px.writeErrorMessages(f, ('Neither log nor error messages have been supplied.',))
px.writeFooter(f)
def get_reinforcement_factors(*args, **kwargs):
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 InputDataError(msg)
factors.update(rf)
return factors # dict
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_input_data(input_dir):
file_names = (
'alternatives.xml',
'categoriesProfiles.xml',
'concordance.xml',
'discordances.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
categories_profiles = get_categories_profiles_central(
trees['categoriesProfiles'])
concordance = getAlternativesComparisons(trees['concordance'],
alternatives, categories_profiles)
discordances = getAlternativesComparisons(trees['discordances'],
alternatives,
categories_profiles,
partials=True)
ret = {
'alternatives': alternatives,
'categories_profiles': categories_profiles,
'concordance': concordance,
'discordances': discordances,
}
return ret
def get_interactions(*args, **kwargs):
criteria = px.getCriteriaID(trees['criteria'])
interactions = _get_criteria_interactions(
trees['interactions'],
criteria,
)
return interactions # 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 get_input_data(input_dir):
file_names = (
'alternatives.xml',
'categoriesProfiles.xml',
'concordance.xml',
'discordances.xml',
)
trees = get_trees(input_dir, file_names)
alternatives = px.getAlternativesID(trees['alternatives'])
cp_tree = trees['categoriesProfiles']
# we need only categories profiles' names
categories_profiles = [
p for p in cp_tree.xpath('//categoriesProfiles//alternativeID/text()')
]
concordance = getAlternativesComparisons(trees['concordance'],
alternatives, categories_profiles)
discordances = getAlternativesComparisons(trees['discordances'],
alternatives,
categories_profiles,
partials=True)
ret = {
'alternatives': alternatives,
'categories_profiles': categories_profiles,
'concordance': concordance,
'discordances': discordances,
}
return ret
def output_criteriaValues(filename, criteria_ids, mcdaConcept, parents):
outfile = open(filename, 'w')
px.writeHeader(outfile)
outfile.write(' <%s>' % mcdaConcept)
outfile.write('''
<description>
<comment>A hierarchy of criteria</comment>
</description>''')
xmlparents = [xml_value_label % v for v in criteria_ids]
outfile.write(make_tree('', parents, criteria_ids))
outfile.write('\n </%s>\n' % mcdaConcept)
px.writeFooter(outfile)
outfile.close()
def get_interactions(*args, **kwargs):
criteria = px.getCriteriaID(trees['criteria'])
interactions = _get_criteria_interactions(
trees['interactions'],
criteria,
)
return interactions # 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_weights(xml_weights, hierarchyArray, outfile):
ret = ""
weights = px.getCriterionValue(xml_weights,
[(getOriginalName(v))
for v, k in hierarchyArray.items()],
'Importance')
weights = calculate_new_weights(weights, hierarchyArray)
output_criteriaValues(outfile, weights, 'Importance')
def _sort_profiles (category_profiles, categories_names, rank_tree):
sortedCategories = {}
categories_rank = px.getCategoriesRank(rank_tree, categories_names)
for category in categories_rank:
sortedCategories[categories_rank[category]] = {}
sortedCategories[categories_rank[category]]["classes"] = category_profiles[category]
sortedCategories[categories_rank[category]]["id"] = category
return sortedCategories
def output_criteriaValues(filename, criteria_ids, mcdaConcept, parents):
outfile = open(filename, 'w')
px.writeHeader(outfile)
outfile.write(' <%s>' % mcdaConcept)
outfile.write('''
<description>
<comment>A hierarchy of criteria</comment>
</description>''')
xmlparents = [ xml_value_label % v for v in criteria_ids ]
outfile.write(make_tree('', parents, criteria_ids))
outfile.write('\n </%s>\n' % mcdaConcept)
px.writeFooter(outfile)
outfile.close()
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',
'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',
'criteria.xml',
'performanceTable.xml',
'profilesPerformanceTable.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['performanceTable'], None, None)
categories_profiles = get_categories_profiles_central(trees['categoriesProfiles'])
profiles_performance_table = px.getPerformanceTable(trees['profilesPerformanceTable'],
None, None)
ret = {
'alternatives': alternatives,
'categories_profiles': categories_profiles,
'criteria': criteria,
'performances': performances,
'pref_directions': pref_directions,
'profiles_performance_table': profiles_performance_table,
'thresholds': thresholds,
'weights': weights,
}
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_reinforcement_factors(*args, **kwargs):
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 InputDataError(msg)
factors.update(rf)
return factors # 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 output_criteriaValues(filename, weights, mcdaConcept):
outfile = open(filename, 'w')
px.writeHeader(outfile)
outfile.write(' <criteriaValues mcdaConcept="%s">' % mcdaConcept)
try:
xmlWeights = [xml_value_real % k for v, k in weights.items()]
except ValueError:
xmlWeights = [xml_value_label % k for v, k in weights.items()]
for id, weight in map(None, weights, xmlWeights):
outfile.write("""
<criterionValue>
<criterionID>%s</criterionID>
%s
</criterionValue>
""" % (id, weight))
outfile.write(' </criteriaValues>\n')
px.writeFooter(outfile)
outfile.close()
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_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 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_trees(input_dir, file_names):
trees = {}
for f in file_names:
file_name = os.path.join(input_dir, f)
if not os.path.isfile(file_name):
raise RuntimeError("Problem with input file: '{}'.".format(f))
tree = None
tree = px.parseValidate(file_name)
if tree is None:
raise RuntimeError("Validation error with file: '{}'.".format(f))
trees.update({os.path.splitext(f)[0]: tree})
return trees
def output_distillation(filename, alternativesID, concept="downwars distillation", atCriterion="Root"):
outfile = open(filename, "w")
if compatibleWith2_0_0 != None:
px.writeHeader(outfile, "2.0.0")
else:
px.writeHeader(outfile)
outfile.write(
"\t<description>\n\t\t<comment>%s on criterion: %s</comment>\n\t</description>\n" % (concept, atCriterion)
)
outfile.write(' <alternativesValues mcdaConcept="%s">\n' % concept)
for id, val in sorted(alternativesID.items(), key=lambda alt: alt[1], reverse=True):
# for id, val in criteria_ids.items():
outfile.write(
"""
<alternativeValue>
<alternativeID>%s</alternativeID>
<value>
<real>%s</real>
</value>
</alternativeValue>"""
% (id, val)
)
outfile.write("\n </alternativesValues>\n")
px.writeFooter(outfile)
outfile.close()
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 writeAlternativeComparisionOnCriterion(filename, comparisionMx, criterion, comparisionType=None):
compatibleWith2_0_0 = True
outfile = open(filename, 'w')
if compatibleWith2_0_0 :
px.writeHeader(outfile, '2.0.0')
writeCriterion = None
else:
px.writeHeader(outfile)
writeCriterion = criterion #definicja jakiego kryterium dotyczny dane porównanie dopiero w standardzie 2_2_1
#for key, item in comparisionMx.items() :
outfile.write('\t<alternativesComparisons mcdaConcept="Pairwise comparison">\n')
if comparisionType != None :
outfile.write("\t\t<comparisonType>%s</comparisonType>\n" % comparisionType)
if writeCriterion != None:
outfile.write("\t\t<criterionID>%s</criterionID>\n" % writeCriterion)
outfile.write('\t\t<pairs>\n')
for key1, item1 in comparisionMx[criterion].items():
for key2, item2 in item1.items():
outfile.write("""\t\t\t<pair>
<initial>
<alternativeID>%s</alternativeID>
</initial>
<terminal>
<alternativeID>%s</alternativeID>
</terminal>
<value>
%s
</value>
</pair>\n""" % (key1, key2, correctType(item2)))
outfile.write('\t\t</pairs>\n')
outfile.write('\t</alternativesComparisons>\n')
px.writeFooter(outfile)
outfile.close()
def output_distillation(filename,
alternativesID,
concept='downwars distillation',
atCriterion='Root'):
outfile = open(filename, 'w')
if compatibleWith2_0_0 != None:
px.writeHeader(outfile, '2.0.0')
else:
px.writeHeader(outfile)
outfile.write(
'\t<description>\n\t\t<comment>%s on criterion: %s</comment>\n\t</description>\n'
% (concept, atCriterion))
outfile.write(' <alternativesValues mcdaConcept="%s">\n' % concept)
for id, val in sorted(alternativesID.items(),
key=lambda alt: alt[1],
reverse=True):
#for id, val in criteria_ids.items():
outfile.write('''
<alternativeValue>
<alternativeID>%s</alternativeID>
<value>
<real>%s</real>
</value>
</alternativeValue>''' % (id, val))
outfile.write('\n </alternativesValues>\n')
px.writeFooter(outfile)
outfile.close()
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'performanceTable.xml',
'categoriesProfiles.xml',
'criteria.xml',
'profilesPerformanceTable.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)
performances = px.getPerformanceTable(trees['performanceTable'], None, None)
profiles_performance_table = px.getPerformanceTable(trees['profilesPerformanceTable'], None, None)
cp_tree = trees['categoriesProfiles']
# we need only categories profiles' names
categories_profiles = [p for p in cp_tree.xpath('//categoriesProfiles//alternativeID/text()')]
ret = {
'alternatives': alternatives,
'categories_profiles': categories_profiles,
'criteria': criteria,
'performances': performances,
'pref_directions': pref_directions,
'profiles_performance_table': profiles_performance_table,
'thresholds': thresholds,
}
return ret
def get_input_data(input_dir):
file_names = (
'alternatives.xml',
'categoriesProfiles.xml',
'criteria.xml',
'performanceTable.xml',
'profilesPerformanceTable.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)
performances = px.getPerformanceTable(trees['performanceTable'], None, None)
categories_profiles = get_categories_profiles_central(trees['categoriesProfiles'])
profiles_performance_table = px.getPerformanceTable(
trees['profilesPerformanceTable'], None, None
)
ret = {
'alternatives': alternatives,
'categories_profiles': categories_profiles,
'criteria': criteria,
'performances': performances,
'pref_directions': pref_directions,
'profiles_performance_table': profiles_performance_table,
'thresholds': thresholds,
}
return ret
def get_concordance(*args, **kwargs):
alternatives = px.getAlternativesID(trees['alternatives'])
comparison_with = px.getParameterByName(
trees['method_parameters'],
'comparison_with',
)
if comparison_with in ('boundary_profiles', 'central_profiles'):
categories_profiles = _get_categories_profiles(
trees['categories_profiles'],
comparison_with,
)
concordance = _get_alternatives_comparisons(
trees['concordance'],
alternatives,
categories_profiles,
)
else:
concordance = px.getAlternativesComparisons(
trees['concordance'],
alternatives,
)
return concordance # Vividict, dict
def get_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 check_criteria_hierarchy(
in_weights, in_hierarchy, in_concorlevel, in_criteria, out_criteria, out_weights, out_hierarchy, out_concorlevel
):
weights_xmltree = px.parseValidate(in_weights)
hierarchy_xmtree = px.parseValidate(in_hierarchy)
concordance_xmltree = px.parseValidate(in_concorlevel)
criteria_xmltree = px.parseValidate(in_criteria)
if weights_xmltree == None:
raise ValueError, "Invalid weights file"
if hierarchy_xmtree == None:
raise ValueError, "Invalid hierarchy file"
if concordance_xmltree == None:
raise ValueError, "Invalid concordance level file"
if criteria_xmltree == None:
raise ValueError, "Invalid criterioa file"
hierarchyArray = check_hierarchy(hierarchy_xmtree, out_hierarchy)
check_weights(weights_xmltree, hierarchyArray, out_weights)
check_concordance(concordance_xmltree, hierarchyArray, out_concorlevel)
output_criteria(out_criteria, [(v) for v, k in hierarchyArray.items()], criteria_xmltree)
return None
