def get_topbooks(data,user):
topbooks = []
top3match = []
profiles = function2.get_by_gender_age(data,user)#Getting the user age and gender
user_bookinlist = ' '.join(user["books"])#user will join the books together eg.("human philosophy")
user_temporary = user_bookinlist.split(' ')#matching person's will split the books eg. ("human","philosophy")
for i in range (len(profiles)): # making use of function 2,all the people by gender and by age
bookcounter = 0 # to get the counter to be reset for every person
matchingpersons_string = ' '.join(profiles[i]["books"])#matching person's will join the books together eg. ("human philosophy")
matchingpersonslist = matchingpersons_string.split(' ')#matching person's will split the books eg. ("human","philosophy")
for book in user_temporary: # loop my user books which is in the form of ("human","philosophy")
if book in matchingpersonslist:#to check if the word "human" is in the matchingpersonlist
bookcounter+= 1 #if the book is found in the list counter +1
if bookcounter > 0 :
profiles[i]["bookcounter"] = bookcounter#key and values for my profile dictionary
topbooks.append(profiles[i])
sortedlistvalues = sorted(topbooks,key=lambda x:x["bookcounter"]) ##using list then first x is the def(x)second x is the index of counter
if len(topbooks) > 3 : # if result is bigger than 3, return top 3
return sortedlistvalues[-3:]
else:
return sortedlistvalues
def get_by_likes_dislikes(data, user):
profiles = function2.get_by_gender_age(data, user)
topMatches = []
#loop through all profiles
for i in range(len(profiles)):
likesCounter, dislikesCounter, total = 0,0,0
#loop through all user's likes
for like in user["likes"]:
#if what user like, the matching also like
if like in profiles[i]["likes"]:
likesCounter += 1
total += 1
#if what user like, the matching doesn't like
elif like in profiles[i]["dislikes"]:
likesCounter -= 1
total -= 1
#loop through all user's dislikes
for dislike in user["dislikes"]:
#if what user dislike, the matching also dislike
if dislike in profiles[i]["dislikes"]:
dislikesCounter += 1
total += 1
#if what user dislike, the matching person like
elif dislike in profiles[i]["likes"]:
dislikesCounter -=1
total -= 1
#if total counter is bigger than 0
#update the profile with the total, likes and dislikes counter
#append profile (dictionary) into top possible matches
if total > 0 :
profiles[i]["likesCounter"] = likesCounter
profiles[i]["dislikesCounter"] = dislikesCounter
profiles[i]["total"] = total
topMatches.append(profiles[i])
#sort result (list) by dictionaary key 'total' in ascending order
result = sorted(topMatches, key=lambda x: x['total'])
#if result is more than 3, return last 3 which is the top 3
if len(result) > 3:
return result[-3:]
#if result is lesser than 3, return all
else:
return result
def get_by_country(data, user):
""" getting profiles based on country """
result = []
#making use of funtion2 function
#loop through the list of profiles
for profile in f2.get_by_gender_age(data, user):
#if user acceptable country is not empty
if len(user["acceptable_country"]) > 0:
#if profile's country is in user acceptable country list
#append profile (dictionary) into result
if profile["country"] in user["acceptable_country"]:
result.append(profile)
return result