if options.rhs != None and ',' in options.rhs:
rhs_list = [opt.strip() for opt in options.rhs.split(',')]
rhs = frozenset(rhs_list)
print(rhs)
elif options.rhs != None:
rhs = frozenset([options.rhs])
else:
rhs = frozenset([])
print("""Parameters: \n - filePath: {} \n - mininum support: {} \n - mininum confidence: {} \n - rhs: {}\n""".\
format(filePath,minSupp,minConf, rhs))
# Run and print
objApriori = Apriori(minSupp, minConf)
itemCountDict, freqSet = objApriori.executeApriori(filePath)
for key, value in freqSet.items():
print('frequent {}-term set:'.format(key))
print('-' * 20)
for itemset in value:
print(list(itemset))
print()
# Return rules with regard of `rhs`
rules = objApriori.getSpecRules(rhs)
print('-' * 20)
print('rules refer to {}'.format(list(rhs)))
for key, value in rules.items():
print('{} -> {}: {}'.format(list(key), list(rhs), value))
def execute_apriori():
if request.method == 'POST':
# print(request.form.get('support_val'))
# print(request.form.get('confidence_val'))
# print(request.form.get('rhsValue'))
# print(request.form.get('filename'))
minSupp = float(request.form.get('support_val'))
minConf = float(request.form.get('confidence_val'))
rhsValue = request.form.get('rhsValue')
filename = request.form.get('filename')
filePath = './' + filename
# Run Apriori algorithm here and respond back the rules
return_obj = dict()
# Come up with the reaponse data type to wrap all data to respond
if rhsValue != None and ',' in rhsValue:
rhs_list = [opt.strip() for opt in rhsValue.split(',')]
rhs = frozenset(rhs_list)
print(rhs)
elif rhsValue != None:
rhs = frozenset([rhsValue])
else:
rhs = frozenset([])
print("""Parameters: \n - filePath: {} \n - mininum support: {} \n - mininum confidence: {} \n - rhs: {}\n""".\
format(filePath,minSupp,minConf, rhs))
# Run and print
objApriori = Apriori(minSupp, minConf)
# freqSet is actually dictionary
itemCountDict, freqSet = objApriori.executeApriori(filePath)
# print('------itemCountDict-------')
# print(itemCountDict)
# print('-------freqSet-----------')
# print(freqSet)
frequencyObj = {}
for key, value in freqSet.items():
temp = []
print('frequent {}-term set:'.format(key))
print('-' * 20)
for itemset in value:
print(list(itemset))
temp.append(list(itemset))
frequencyObj[key] = temp
return_obj['frequencySetInfo'] = frequencyObj
# Return rules with regard of `rhs`
rules = objApriori.getSpecRules(rhs)
print('-' * 20)
print('rules refer to {}'.format(list(rhs)))
rulesObj = {}
count = 1
for key, value in rules.items():
rulesObj[count] = [list(key), value]
print('{} -> {}: {}'.format(list(key), list(rhs), value))
count += 1
return_obj['rules'] = rulesObj
print(return_obj)
return_string = json.dumps(return_obj)
return return_string
