leastEffort16.py

#!/usr/bin/env python3



## Research each questions and give it a weight between 0 and 100
## Based on the expected effort

## The pointWeitht dict is in the form
## {question: (points, weight)}
## Points is the points given and weight is the effort

from itertools import combinations

pointWeights = {'auth-aliases': (2, 30),
 'backup-solution': (2, 20),
 'ca-root': (1, 40),
 'config-root-certificate-deployment': (2, 70),
 'config-security-policies': (3, 80),
 'config-update-puppet': (1,40),
 'high-availability': (2, 50),
 'ipsec': (3, 70),
 'mail-serv-certificate': (1, 40),
 'mounted-sync-drbd': (1, 35),
 'proto ssl/tls': (2, 65),
 'send-receive': (1, 30)}

allCombinations = []

for i in range(1, len(pointWeights) + 1):
    allCombinations.extend(combinations(pointWeights, i))

combinPoints = [(combin, sum([pointWeights[key][0] for key in combin])) for combin in allCombinations]

combinHigherThan16 = [combin for combin in filter(lambda x: x[1] >= 16 ,combinPoints)]

combinHigherThan16WithWeight = [(combin[0], sum(pointWeights[key][1] for key in combin[0])) for combin in combinHigherThan16]

combinHigherThan16WithWeight =  sorted(combinHigherThan16WithWeight, key=lambda x: x[1])

bestCombins = combinHigherThan16WithWeight[:int(len(combinHigherThan16WithWeight) * 0.2) - 1]

print(bestCombins[0])