Python PyXMCDA.getCriterionValue方法代码示例

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
def parse_xmcda_files(in_weights, in_hierarchy, in_concorlevel, in_criteria, in_alternatives, in_performances):
    xml_crit = px.parseValidate(in_criteria)
    xml_alt = px.parseValidate(in_alternatives)
    xml_pt = px.parseValidate(in_performances)
    xml_weight = px.parseValidate(in_weights)
    xml_hierarchy = px.parseValidate(in_hierarchy)
    xml_concordance = px.parseValidate(in_concorlevel)
    if xml_crit == None:
        raise ValueError, ["Invalid criteria file"]
    if xml_alt == None:
        raise ValueError, ["Invalid alternative file"]
    if xml_pt == None:
        raise ValueError, ["Invalid performance table file"]
    if xml_weight == None:
        raise ValueError, ["Invalid weight file"]
    if xml_hierarchy == None:
        raise ValueError, ["Invalid assignment file"]
    if xml_concordance == None:
        raise ValueError, ["Invalid concordance file"]

    try:
        alternatives_ids = px.getAlternativesID(xml_alt)
        criteria_ids = px.getCriteriaID(xml_crit)
        performance_table = px.getPerformanceTable(xml_pt, alternatives_ids, criteria_ids)
        criteriaWeight = px.getCriterionValue(xml_weight, criteria_ids, 'Importance')
        preferenceDirections = px.getCriteriaPreferenceDirections(xml_crit, criteria_ids)
        hierarchyArray = get_hierarchy_array(xml_hierarchy)
        criteria_thresholds = px.getConstantThresholds(xml_crit, criteria_ids)
        concordanceCutLev = get_criterion_concordance_cutting_level_value(xml_concordance, 'Concordance')
    except:
        raise ValueError, ["Failed to parse one or more file"]
        return

    return alternatives_ids, criteria_ids, performance_table, criteriaWeight, preferenceDirections, hierarchyArray, criteria_thresholds, concordanceCutLev

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
 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

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
 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

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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)

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
def get_input_data(input_dir):
    file_names = (
        'alternatives.xml',
        'performanceTable.xml',
        'categoriesProfiles.xml',
        'criteria.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'], 1, 1)

    # we can't assume that categories will be always available as a separate
    # input file, therefore it's better to extract them from categoriesProfiles
    cp_tree = trees['categoriesProfiles']
    categories = list(set(cp_tree.xpath('//categoriesProfiles//limits//categoryID/text()')))
    # since we just need names of categories profiles, it's better to get them like below
    # - otherwise, to get 'full' categories profiles, we should use this:
    # categories_profiles = px.getCategoriesProfiles(trees['categoriesProfiles'], categories)
    categories_profiles = [p for p in cp_tree.xpath('//categoriesProfiles//alternativeID/text()')]
    # last two args to getPerformanceTable are not used at all anyway...
    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

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
def get_fixed_parameters(in_dir, alt_id, crit_id, pt, cat_id, cat_rank, pref_dir):
    weights = None
    lbda = None
    cat_profiles = None
    pt_refalts = None

    xml_weights = PyXMCDA.parseValidate(in_dir+"/crit_weights.xml")
    xml_lbda = PyXMCDA.parseValidate(in_dir+"/lambda.xml")
    xml_catprofiles = PyXMCDA.parseValidate(in_dir+"/cat_profiles.xml")
    xml_refalts = PyXMCDA.parseValidate(in_dir+"/reference_alts.xml")

    if xml_weights != None and xml_lbda != None:
        if xml_weights == None or xml_lbda == None:
            error_list.append("You must give both weights and lambda")
            
        try:
            weights = PyXMCDA.getCriterionValue(xml_weights, crit_id) 
            weights_sum = sum(weights.values())
            for key, value in weights.iteritems():
                weights[key] = value/weights_sum

            lbda = xmcda.get_lambda(xml_lbda)
        except:
            error_list.append("Unable to get fixed weights or lambda")

    if xml_catprofiles != None and xml_refalts != None:
        if xml_catprofiles == None or xml_refalts == None:
            error_list.append("You must give both categories profiles and performance table of reference alternatives")

        try:
            cat_profiles = xmcda.get_categories_profiles(xml_catprofiles)
            pt_refalts = PyXMCDA.getPerformanceTable(xml_refalts, cat_id, crit_id)
        except:
            error_list.append("Unable to get fixed profiles")

    if weights != None and lbda != None and pt_refalts != None:
        error_list.append("No parameters to infer")

    return (weights, lbda, cat_profiles, pt_refalts)

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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)
#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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.")
		
		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 check if a criterion weight is defined for all the active criteria
		for crit in criteriaId :
			if not weights.has_key(crit) :
				errorList.append("There is no defined weight for criterion "+crit+".")
		
		
	if not errorList :
		
		# We compute the weighted sum for all the active alternatives
		fileAltValues = open(out_dir+"/alternativesValues.xml", 'w')
		PyXMCDA.writeHeader (fileAltValues)
		
		fileAltValues.write ("<alternativesValues>\n")
		
		for alt in alternativesId :
		
			fileAltValues.write("<alternativeValue><alternativeID>"+alt+"</alternativeID><value>")
			sum = 0.0
			errorAlt = False
	
			for crit in criteriaId :
				
				try :
					sum = sum + weights[crit] * perfTable[alt][crit]
				except :
					errorList.append("No evaluation found for alternative "+alt+" on criterion "+crit+" in the performance table.")
					errorAlt = True
		
			if not errorAlt :	
				fileAltValues.write ("<real>"+str(sum)+"</real></value></alternativeValue>\n")
			else :
				fileAltValues.write ("<NA>not available</NA></value></alternativeValue>\n")
			
		fileAltValues.write ("</alternativesValues>")
		
		PyXMCDA.writeFooter(fileAltValues)
		fileAltValues.close()
	
	# Creating log and error file, messages.xml
	fileMessages = open(out_dir+"/messages.xml", 'w')
	PyXMCDA.writeHeader (fileMessages)
#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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")

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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')
#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]

#.........这里部分代码省略.........
                                                         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

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]
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:

#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriterionValue [as 别名]

#.........这里部分代码省略.........
            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