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sim.py
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import cPickle as pickle
import codecs
from math import sqrt
from dfs import find_connection
log = open('sim.log', 'w')
DEBUG = False
def across(interval, time):
if interval[0] <= time < interval[1] or (time == 23 and interval[1] == 23):
return True
else:
return False
def convert_to_hour(time):
hour = int(time.split(' ')[1].split(':')[0])
return hour
def file_to_dict(train):
user_dict = {}
# for line in codecs.open(train, 'r', 'utf-8'):
for line in open(train, 'r'):
id, content_id, class_name, start, end, timespan, user_id = line.split(',')
user_id = user_id.strip()
# print user_id
user_dict.setdefault(user_id, [])
# fo.write('%s,%s,%s,%s,%s,%s,%s\n' % (str(id), str(content_id), str(class_name), str(start_time), str(end_time), str(timespan), str(user_id)))
user_dict[user_id].append({'id':id, 'content_id':content_id, 'start':start, 'end':end, 'timespan':timespan, 'class':class_name})
return user_dict
def tag(user_dict, user_time):
tag_dict = {}
for user_id, play_list in user_dict.items():
# if user_id != '1':
# continue
if DEBUG:
print >> log, 'Now tagging user: ', user_id
tag_list = {}
tag = 1
for idx, play in enumerate(play_list):
id = play['id']
content_id = play['content_id']
start = play['start']
end = play['end']
timespan = play['timespan']
class_name = play['class']
for t in user_time[user_id]:
if t not in tag_list.keys():
tag_list.setdefault(t, 'tag' + str(tag))
tag += 1
if across(t, convert_to_hour(start)):
if DEBUG:
print >> log, '*' * 100
print >> log, 'Across: ', t
print >> log, '*' * 100
# play_list[idx] = {'start':start, 'end':end, 'class':class_name, 'timespan':timespan, 'tag':tag_list[t]}
play_list[idx] = {'id':id, 'content_id':content_id, 'start':start, 'end':end, 'timespan':timespan, 'class':class_name, 'tag':tag_list[t]}
if DEBUG:
print >> log, 'Play_list', play_list[idx]
print >> log, 'idx', idx
print >> log, '*' * 100
# print tag_list
tag_dict[user_id] = tag_list
return tag_dict
def rate(tag):
rate_list = {}
for key in tag:
rate_list.setdefault(key[0], 0)
rate_list[key[0]] += 1
for key,value in rate_list.items():
rate_list[key] /= 1.0 * len(tag)
return rate_list
def rate_span(tag, tag_span):
# print tag_span
rate_list = {}
for key in tag:
rate_list.setdefault(key[0], 0)
rate_list[key[0]] += float(key[1])
for key,value in rate_list.items():
rate_list[key] = rate_list[key] / 1.0 * tag_span / len(tag)
return rate_list
def similarity(tags, tag_list, key1, key2):
try:
len_tag1 = len(tags[key1])
len_tag2 = len(tags[key2])
except:
return 0
tag1_span = tag_list[key1]
tag2_span = tag_list[key2]
rate1 = rate_span(tags[key1], tag1_span[0])
rate2 = rate_span(tags[key2], tag2_span[0])
# rate1 = rate_span(tags[key1], tag1_span)
# rate2 = rate_span(tags[key2], tag2_span)
mod1 = 0.0
mod2 = 0.0
metrix = 0.0
for key,value in rate1.items():
if key in rate2:
metrix = metrix + value * rate2[key]
for key,value in rate1.items():
mod1 = mod1 + value * value
for key,value in rate2.items():
mod2 = mod2 + value * value
mod1 = sqrt(mod1)
mod2 = sqrt(mod2)
r = metrix / (mod1 * mod2)
return r
def extract_class(user_dict):
user_tag = {}
# For every user
for user_id, play_list in user_dict.items():
# if user_id != '1':
# continue
# For every play entry
user_tag.setdefault(user_id, {})
for idx, play in enumerate(play_list):
class_name = play['class']
tag = play['tag']
timespan = play['timespan']
user_tag[user_id].setdefault(tag, [])
user_tag[user_id][tag].append((class_name, timespan))
# print user_tag
return user_tag
# {(0,13):'tag1'} to {'tag1':(0,13)}
def reverse(tag_dict):
new_dict = {}
for user_id, tag_list in tag_dict.items():
for key, value in tag_list.items():
new_dict.setdefault(user_id, {})
new_dict[user_id][value] = ((key[1] - key[0]) * 3600, key)
return new_dict
def main():
fo_tag = open('test_tag_result.csv', 'w')
user_pickle = file('test_user_time_all.pkl', 'rb')
# {'1': [(0,7), (7,12), (12,18), (18,23)]}
user_time = pickle.load(user_pickle)
if DEBUG:
print >> log, 'Successfully read pickle!'
# user_dict = file_to_dict('train.csv')
user_dict = file_to_dict('cf/Test/test_rand1.csv')
# print user_dict['00264C2C9333'][0][2]
tag_dict = tag(user_dict, user_time)
# {'tag1':25200, 'tag2':14400, 'tag3':43200}
tag_dict = reverse(tag_dict)
# print tag_dict
# {'tag1':[('59', '2051'), ('59', '2033'), ...]}
user_tag = extract_class(user_dict)
one = 0
multi = 0
for user_id, tags in user_tag.items():
# if user_id != '1':
# continue
tag_list = tag_dict[user_id]
keys = sorted(tag_list.keys())
# print keys
matrix = [[0 for col in range(len(keys) + 1)] for row in range(len(keys) + 1)]
for i in range(len(keys)):
for j in range(len(keys)):
if i != j:
matrix[i + 1][j + 1] = similarity(tags, tag_list, keys[i], keys[j])
# print i + 1, j + 1
# print keys[i], keys[j]
# print '-' * 100
# print 'Userid: ', user_id
# print '*' * 100
# print tag_dict[user_id]
# print user_tag[user_id]
# for m in matrix:
# print m
# print '*' * 100
# print tag_dict[user_id]
result = find_connection(matrix)
result2tag = {}
# print '-' * 100
# print 'Userid:', user_id
# print result
# for idx in result:
# for i in idx:
# print tag_dict[user_id][keys[i - 1]][1],
# print ''
# print '-' * 100, '\n'
# print user_dict[user_id]
# print user_dict['00264C2C9333']
for play in user_dict[user_id]:
id = play['id']
content_id = play['content_id']
start = play['start']
end = play['end']
timespan = play['timespan']
class_name = play['class']
print result
for idx in result:
# if len(idx) > 1:
# print idx
for i in idx:
tag_s = tag_dict[user_id][keys[i - 1]][1]
# print tag_s, start
if tag_dict[user_id][keys[i - 1]][1][0] <= convert_to_hour(start) < tag_dict[user_id][keys[i - 1]][1][1]:
# print tag_dict[user_id]
t = [tag_dict[user_id][keys[j - 1]][1] for j in idx]
sum = 0
for inter in t:
span = inter[1] - inter[0]
sum += span
# print sum * 60
s = str(t).lstrip('[').rstrip(']')
fo_tag.write('%s|%s|%s|%s|%s|%s|%s|%s|%s\n' % (id, content_id, start, end, timespan, class_name, user_id, s, str(sum * 60)))
fo_tag.flush()
print '-' * 100, '\n\n'
if len(result) == 1:
one += 1
else:
multi += len(result)
print one, multi
fo_tag.close()
if __name__ == '__main__':
main()