-
Notifications
You must be signed in to change notification settings - Fork 2
Expand file tree
/
Copy pathbasicRanking.py
More file actions
43 lines (33 loc) · 1.52 KB
/
basicRanking.py
File metadata and controls
43 lines (33 loc) · 1.52 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
class BasicRanking:
def __init__(self, result, usernames):
self.result = result
self.usernames = usernames
def getRank(self):
totalLikes = count = avg = 0
rankPageLikes = []
rankPostLikes = []
rankList = []
for page in self.result:
#totalLikes = page['page_likes']
likes = [data.likes for data in page['data']]
totalLikes = sum(likes)
avg = totalLikes/len(page['data'])
rankPageLikes.append({'name': page['name'], 'likes': page['page_likes']})
rankPostLikes.append({'name': page['name'], 'likes': avg})
# print("Username: ", page['name'], "Score: ", int(score))
rankPageLikes = sorted(rankPageLikes, key=lambda page : page['likes'], reverse=True)
rankPostLikes = sorted(rankPostLikes, key=lambda page : page['likes'], reverse=True)
arrayLen = len(rankPageLikes)
for i in range(0, arrayLen):
rankPageLikes[i]['rank'] = rankPostLikes[i]['rank'] = arrayLen - i - 1
for username in self.usernames:
page = getFromDict(rankPageLikes, 'name', username)
post = getFromDict(rankPostLikes, 'name', username)
finalScore = (0.6 * post['rank'] + 0.4 * page['rank'])/arrayLen * 100
rankList.append({"name":username, 'finalScore': finalScore})
return rankList
def getFromDict(list, key, value):
for item in list:
if(item[key] == value):
return item
return {}