Python PyXMCDA.getNamedParametersByName方法代碼示例

# 需要導入模塊: import PyXMCDA [as 別名]
# 或者: from PyXMCDA import getNamedParametersByName [as 別名]
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
	
	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
#.........這裏部分代碼省略.........

# 需要導入模塊: import PyXMCDA [as 別名]
# 或者: from PyXMCDA import getNamedParametersByName [as 別名]

#.........這裏部分代碼省略.........
				
					# 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 :