def fieldtotal(self,fieldname,fieldtype):
'''
given the input result field name and type, return the total
'''
fieldidx=None
result=0
try:
fieldidx=self.__inputResultHeader.index(fieldname)
except:
print('field ',fieldname,' not found')
raise
for r in self.__inputResult:
stringvalue=r[fieldidx]
if fieldtype in ['int','unsigned int']:
if not CommonUtil.is_intstr(stringvalue):
print('field ',fieldname,' is not integer type')
raise
else:
result=int(result)+int(stringvalue)
continue
elif fieldtype in ['float'] :
if not CommonUtil.is_floatstr(stringvalue):
print('field ',fieldname,' is not float type')
raise
else:
result=float(result)+float(stringvalue)
continue
else:
raise RunTimeError('cannot sum types other than int ,float')
return result
def fieldvalues(self,fieldname,fieldtype):
'''
given the input result field name and typem return the list of values
'''
fieldidx=None
result=[]
try:
fieldidx=self.__inputResultHeader.index(fieldname)
except:
print('field ',fieldname,' not found')
raise RuntimeError('field')
for r in self.__inputResult:
stringvalue=r[fieldidx]
if fieldtype in ['int','unsigned int']:
if not CommonUtil.is_intstr(stringvalue):
print('field ',fieldname,' is not integer type')
raise RuntimeError('field')
else:
result.append(int(stringvalue))
continue
elif fieldtype in ['float']:
if not CommonUtil.is_floatstr(stringvalue):
print('field ',fieldname,' is not float type')
raise RuntimeError('field')
else:
result.append(float(stringvalue))
contine
elif fieldtype in ['string','str']:
result.append(stringvalue)
else:
raise RuntimeError('unsupported type '+fieldtype)
return result
def fieldtotal(self, fieldname, fieldtype):
'''
given the input result field name and type, return the total
'''
fieldidx = None
result = 0
try:
fieldidx = self.__inputResultHeader.index(fieldname)
except:
print 'field ', fieldname, ' not found'
raise
for r in self.__inputResult:
stringvalue = r[fieldidx]
if fieldtype in ['int', 'unsigned int']:
if not CommonUtil.is_intstr(stringvalue):
print 'field ', fieldname, ' is not integer type'
raise
else:
result = int(result) + int(stringvalue)
continue
elif fieldtype in ['float']:
if not CommonUtil.is_floatstr(stringvalue):
print 'field ', fieldname, ' is not float type'
raise
else:
result = float(result) + float(stringvalue)
continue
else:
raise 'cannot sum types other than int ,float'
return result
def fieldvalues(self, fieldname, fieldtype):
'''
given the input result field name and typem return the list of values
'''
fieldidx = None
result = []
try:
fieldidx = self.__inputResultHeader.index(fieldname)
except:
print 'field ', fieldname, ' not found'
raise
for r in self.__inputResult:
stringvalue = r[fieldidx]
if fieldtype in ['int', 'unsigned int']:
if not CommonUtil.is_intstr(stringvalue):
print 'field ', fieldname, ' is not integer type'
raise
else:
result.append(int(stringvalue))
continue
elif fieldtype in ['float']:
if not CommonUtil.is_floatstr(stringvalue):
print 'field ', fieldname, ' is not float type'
raise
else:
result.append(float(stringvalue))
contine
elif fieldtype in ['string', 'str']:
result.append(stringvalue)
else:
raise 'unsupported type ', fieldtype
return result
def runsWithresult(self):
'''
output: [run,run,...]
'''
result={}
for f in self.__inputresultfiles:
csvReader=csv.reader(open(f),delimiter=',')
for row in csvReader:
field0=str(row[0]).strip()
if not CommonUtil.is_intstr(field0):
continue
runnumber=int(field0)
if runnumber not in result:
result[runnumber]=None
return result.keys()
def runsWithresult(self):
'''
output: [run,run,...]
'''
result = {}
for f in self.__inputresultfiles:
csvReader = csv.reader(open(f), delimiter=',')
for row in csvReader:
field0 = str(row[0]).strip()
if not CommonUtil.is_intstr(field0):
continue
runnumber = int(field0)
if runnumber not in result:
result[runnumber] = None
return result.keys()
def _getnorm(schema,norm):
if isinstance(norm,int) or isinstance(norm,float) or CommonUtil.is_floatstr(norm) or CommonUtil.is_intstr(norm):
return float(norm)
if not isinstance(norm,str):
raise ValueError('wrong parameter type')
normdataid=dataDML.guessnormIdByName(schema,norm)
normresult=dataDML.luminormById(schema,normdataid)
return normresult[2]
