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FBViz.py
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FBViz.py
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import json
import requests
from pprint import pprint
import operator
import networkx as nx
class FBViz:
def __init__(self, token):
self.access_token = token
self.access_str = 'access_token=' + self.access_token
self.user_id = 1 # User ID
self.user_name = 'ABC' # User name
self.user_likes = []
self.friends_likes = {} # Dict to hold friend likes, Key : Friend Name, Value : List of likes
self.friends_music = {} # Dict to hold friend music choices, Key : Friend Name, Value : List of music pages followed
self.friends_books = {} # Dict to hold friend books choices, Key : Friend Name, Value : List of book pages followed
self.friends_sports = {} # Dict to hold friend sports choices, Key : Friend Name, Value : List of sports pages followed
self.friends_movies = {} # Dict to hold friend movie choices, Key : Friend Name, Value : List of movie pages followed
self.friend_dict = {} # Dict to hold friend ID, Key : ID, Value : Friend name
self.music_reco_from = ''
self.movies_reco_from = ''
self.books_reco_from = ''
self.sport_reco_from = ''
self.like_minded_friend = ''
self.G = nx.MultiGraph()
def get_user_friends_ids(self):
raw_data = []
url = 'https://graph.facebook.com/' + str(self.user_id) + '/friends?' + self.access_str
r = requests.get(url)
data = r.json()
for friend in data['data']:
self.friend_dict[friend['id']] = friend['name']
def get_recommender(self, d):
new_dict = {}
for name, raw_list in d.items():
new_dict[name] = len(raw_list)
v = list(new_dict.values())
k = list(new_dict.keys())
return k[v.index(max(v))]
def get_like_minded(self):
max_similar_likes = 0
like_minded_friend = ''
for name, likes_list in self.friends_likes.items():
num_similar_likes = len(list(set.intersection(set(self.user_likes), set(likes_list))))
if num_similar_likes > max_similar_likes:
max_similar_likes = num_similar_likes
self.like_minded_friend = name
def get_likes_by_id(self, id):
count = 0
raw_data = []
url = 'https://graph.facebook.com/' + str(id) + '/likes?fields(id,name,category)&' + self.access_str
while True:
r = requests.get(url)
raw_data.insert(count, r.json())
try:
next_url = raw_data[count]['paging']['next'].encode('utf-8')
except:
break
count += 1
url = next_url
likes = []
for dat in raw_data:
for like in dat['data']:
likes.append(like['name'])
return likes
def get_interests_data(self, id):
url = 'https://graph.facebook.com/' + str(
id) + '/friends?fields=name,likes.fields(name,category),music.fields(name,category),movies.fields(name,category),books.fields(name,category),sports&' + self.access_str
r = requests.get(url)
raw_data = []
count = 0
while True:
r = requests.get(url)
raw_data.insert(count, r.json())
try:
next_url = raw_data[count]['paging']['next'].encode('utf-8')
except:
break
count += 1
url = next_url
for info in raw_data:
for dat in info['data']:
likes_list = []
likes_cat_list = []
music_list = []
movie_list = []
books_list = []
sport_list = []
name = dat['name']
try:
for music in dat['music']['data']:
if music['category'] in ('Musician/band', 'Music'):
music_list.append(music['name'])
self.friends_music[name] = music_list
except:
pass
try:
for movie in dat['movies']['data']:
movie_list.append(movie['name'])
self.friends_movies[name] = movie_list
except:
pass
try:
for book in dat['books']['data']:
books_list.append(book['name'])
self.friends_books[name] = books_list
except:
pass
try:
for sport in dat['sports']:
sport_list.append(sport['name'])
self.friends_sports[name] = sport_list
except:
pass
def build_graph(self):
self.node_list = [self.like_minded_friend, self.books_reco_from, self.movies_reco_from, self.music_reco_from,
self.sport_reco_from, 'Read a book? Ask me', 'Watch a movie? Ask me', 'Sing along with',
'Sports arena?', 'Similar tastes?']
#self.node_list.append(self.friends_likes[self.like_minded_friend][:10])
self.node_list.append(self.user_name)
self.G.add_nodes_from(self.node_list)
self.G.add_edge(self.user_name, 'Similar tastes?', color = 'purple')
self.G.add_edge('Similar tastes?', self.like_minded_friend,color = 'purple' )
self.G.add_edge(self.user_name, 'Read a book? Ask me', color = 'blue')
self.G.add_edge('Read a book? Ask me', self.books_reco_from, color = 'blue')
self.G.add_edge(self.user_name, 'Watch a movie? Ask me', color = 'green')
self.G.add_edge('Watch a movie? Ask me', self.movies_reco_from, color = 'green')
self.G.add_edge(self.user_name, 'Sing along with', color = 'yellow')
self.G.add_edge('Sing along with', self.music_reco_from, color = 'yellow')
self.G.add_edge(self.user_name, 'Sports arena?', color = 'orange')
self.G.add_edge('Sports arena?', self.sport_reco_from, color = 'orange')
self.G.add_edge(self.user_name, 'Pages you might like!', color = 'red')
for node in self.friends_likes[self.like_minded_friend][:10]:
self.G.add_edge('Pages you might like', node, color = 'red')
nx.write_graphml(self.G, 'FBViz' + ".graphml")
if __name__ == '__main__':
FB_obj = FBViz('') # Acces token for user
FB_obj.user_id = 1 # User ID
FB_obj.user_name = 'ABC' # User name
FB_obj.user_likes = FB_obj.get_likes_by_id(FB_obj.user_id)
FB_obj.get_user_friends_ids()
'''
Collect connections data for books,music,movies and sports choices
'''
for id, name in FB_obj.friend_dict.items():
likes = FB_obj.get_likes_by_id(id)
FB_obj.friends_likes[name] = likes
FB_obj.get_interests_data(FB_obj.user_id)
'''
Get recommenders for each category by highest number of pages followed in the relevant category
'''
FB_obj.music_reco_from = FB_obj.get_recommender(FB_obj.friends_music)
FB_obj.movies_reco_from = FB_obj.get_recommender(FB_obj.friends_movies)
FB_obj.books_reco_from = FB_obj.get_recommender(FB_obj.friends_books)
FB_obj.sport_reco_from = FB_obj.get_recommender(FB_obj.friends_sports)
'''
Get possible pages to follow from like minded friends
'''
FB_obj.get_like_minded()
FB_obj.build_graph()