def execute(self, string):
#print(queries.index(string))
a = NLP(string)
a.namedEntityRecognition()
a.replaceContractions()
a.lemmatize()
print("Lemmatized query:", a.lowercase_query)
a.tokenize()
a.removePunctAndStop()
a.replaceRelations()
a.replaceAttr()
a.reconstruct()
a.replaceOperators()
a.replaceSynAttr()
a.replaceSynCommon()
#print (a.lowercase_query)
a.andOr()
a.unknownAttr()
a.relationSearch()
a.negationCheck()
a.removeDuplicates()
a.cleaningSelectList()
#print(a.SELECT)
#print(a.WHERE)
#print("Unique relation ",a.unique_attribute_relation)
#print("Common relation ",a.common_attribute_relation)
b = QueryConstruction(a.SELECT, a.WHERE, a.unique_attribute_relation, a.common_attribute_relation)
b.checkJoin()
b.constructSelectPart()
check = b.constructFromPart()
if check is True:
b.constructWherePart()
#print(b.final_query)
return b.final_query
