def identify_in(date, words_list):
# identify_in date and words_list(include level and category, [word, level, category])
# date is date when new words were recommended
new_list = []
print words_list
for item in words_list:
r.hset('sensitive_words', item[0], json.dumps([item[1], item[2]]))
new_list.append(item[0])
r.hset('history_in_'+date, item[0], json.dumps([item[1], item[2]]))
if new_list:
for item in new_list:
r.hdel('recommend_sensitive_words_'+date, item)
return '1'
def ajax_cancel_delete():
uid_list = request.args.get("uid_list", "")
date = request.args.get("date", "")
if not uid_list or not date:
return "0"
else:
uid_list = str(uid_list).split(",")
date = str(date).replace("-", "")
delete_list = json.loads(r.hget("delete_user", date))
revise_list = set(delete_list) - set(uid_list)
if revise_list:
r.hset("delete_user", date, json.dumps(list(revise_list)))
else:
r.hdel("delete_user", date)
return "1"
def ajax_delete_user():
date = request.args.get("date", "") # '2013-09-01'
date = str(date).replace("-", "")
uid_list = request.args.get("uid_list", "") # uid_list, 12345,123456,
delete_list = str(uid_list).split(",")
if date and delete_list:
temp = r.hget("delete_user", date)
if temp:
exist_data = json.loads(temp)
delete_list.extend(exist_data)
r.hset("delete_user", date, json.dumps(delete_list))
return "1"
else:
return "0"
def ajax_cancel_delete():
uid_list = request.args.get('uid_list', '')
date = request.args.get('date', '')
if not uid_list or not date:
return '0'
else:
uid_list = str(uid_list).split(',')
date = str(date).replace('-', '')
delete_list = json.loads(r.hget('delete_user', date))
revise_list = set(delete_list) - set(uid_list)
if revise_list:
r.hset('delete_user', date, json.dumps(list(revise_list)))
else:
r.hdel('delete_user', date)
return '1'
def ajax_delete_user():
date = request.args.get('date', '') # '2013-09-01'
date = str(date).replace('-', '')
uid_list = request.args.get('uid_list', '') # uid_list, 12345,123456,
delete_list = str(uid_list).split(',')
if date and delete_list:
temp = r.hget('delete_user', date)
if temp:
exist_data = json.loads(temp)
delete_list.extend(exist_data)
r.hset('delete_user', date, json.dumps(delete_list))
return '1'
else:
return '0'
def identify_in(date, words_list):
# identify_in date and words_list(include level and category, [word, level, category])
# date is date when new words were recommended
ts = time.time()
ts = datetime2ts('2013-09-07')
time_list = []
for i in range(7):
now_ts = int(ts) - i * 24 * 3600
now_date = ts2datetime(now_ts).replace('-', '')
time_list.append(now_date)
for item in words_list:
r.hset('sensitive_words', item[0], json.dumps([item[1], item[2]]))
r.hset('history_in_' + date, item[0], json.dumps([item[1], item[2]]))
for date in time_list:
r.hdel('recommend_sensitive_words_' + date, item[0])
return '1'
def identify_in(date, words_list):
# identify_in date and words_list(include level and category, [word, level, category])
# date is date when new words were recommended
ts = time.time()
ts = datetime2ts('2013-09-07')
time_list = []
for i in range(7):
now_ts = int(ts) - i*24*3600
now_date = ts2datetime(now_ts).replace('-', '')
time_list.append(now_date)
for item in words_list:
r.hset('sensitive_words', item[0], json.dumps([item[1], item[2]]))
r.hset('history_in_'+date, item[0], json.dumps([item[1], item[2]]))
for date in time_list:
r.hdel('recommend_sensitive_words_'+date, item[0])
return '1'
def identify_in(data):
appoint_list = []
now_list = []
sensitive_list = set()
influence_list = set()
for item in data:
date = item[0] # 2015-09-22
uid = item[1]
status = str(item[2])
source = str(item[3])
if int(source) == 1:
r.hset('identify_in_sensitive_' + str(date), uid,
status) # identify in user_list and compute status
sensitive_list.add(uid)
elif int(source) == 2:
r.hset('identify_in_influence_' + str(date), uid, status)
influence_list.add(uid)
else:
r.hset("identify_in_manual_" + str(date), uid, status)
r.hset('compute', uid, json.dumps([date, status]))
"""
sensitive_results = r.hget('recommend_sensitive', date)
if sensitives_results:
sensitive_results = json.loads(sensitive_results)
revise_set = set(sensitive_results) - sensitive_list
if revise_set:
r.hset('recommend_sensitive', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_sensitive', date)
influence_results = r.hget('recommend_influence', date)
if influence_results and influence_results != []:
influence_results = json.loads(influence_results)
revise_set = set(influence_results) - influence_list
if revise_set:
r.hset('recommend_influence', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_influence', date)
# about compute
compute_now_list = r.hget('compute_now', date)
compute_appoint_list = r.hget('compute_appoint', date)
# compute now user list
if compute_now_list:
now_list.extend(json.loads(compute_now_list))
r.hset('compute_now', date, json.dumps(now_list))
else:
r.hset('compute_now', date, json.dumps(now_list))
# appointted compute user list
if compute_appoint_list:
appoint_list.extend(json.loads(compute_appoint_list))
r.hset('compute_appoint', date, json.dumps(appoint_list))
else:
r.hset('compute_appoint', date, json.dumps(appoint_list)) # finish compute, revise 'identify_in_state' uid status
"""
return '1'
def identify_in(data):
appoint_list = []
now_list = []
sensitive_list = set()
influence_list = set()
for item in data:
date = item[0] # 2015-09-22
uid = item[1]
status = str(item[2])
source = str(item[3])
if int(source) == 1:
r.hset('identify_in_sensitive_'+str(date), uid, status) # identify in user_list and compute status
sensitive_list.add(uid)
elif int(source) == 2:
r.hset('identify_in_influence_'+str(date), uid, status)
influence_list.add(uid)
else:
r.hset("identify_in_manual_"+str(date), uid, status)
r.hset('compute', uid, json.dumps([date, status]))
"""
sensitive_results = r.hget('recommend_sensitive', date)
if sensitives_results:
sensitive_results = json.loads(sensitive_results)
revise_set = set(sensitive_results) - sensitive_list
if revise_set:
r.hset('recommend_sensitive', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_sensitive', date)
influence_results = r.hget('recommend_influence', date)
if influence_results and influence_results != []:
influence_results = json.loads(influence_results)
revise_set = set(influence_results) - influence_list
if revise_set:
r.hset('recommend_influence', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_influence', date)
# about compute
compute_now_list = r.hget('compute_now', date)
compute_appoint_list = r.hget('compute_appoint', date)
# compute now user list
if compute_now_list:
now_list.extend(json.loads(compute_now_list))
r.hset('compute_now', date, json.dumps(now_list))
else:
r.hset('compute_now', date, json.dumps(now_list))
# appointted compute user list
if compute_appoint_list:
appoint_list.extend(json.loads(compute_appoint_list))
r.hset('compute_appoint', date, json.dumps(appoint_list))
else:
r.hset('compute_appoint', date, json.dumps(appoint_list)) # finish compute, revise 'identify_in_state' uid status
"""
return '1'
def self_add_in(date, word, level, category):
r.hset('sensitive_words', word, json.dumps([level, category]))
r.hset('history_in_' + date, word, json.dumps([level, category]))
return '1'
def identify_in(data):
appoint_list = []
now_list = []
sensitive_list = set()
influence_list = set()
for item in data:
date = item[0] # 2015-09-22
date = str(date).replace('-','')
uid = item[1]
status = str(item[2])
source = str(item[3])
if source == '1':
r.hset('identify_in_sensitive_'+str(date), uid, status) # identify in user_list and compute status
sensitive_list.add(uid)
elif source == '2':
r.hset('identify_in_influence_'+str(date), uid, status)
influence_list.add(uid)
if status == '1': # now
now_list.append([uid, source])
if status == '2': # appoint
appoint_list.append([uid, source])
sensitive_results = r.hget('recommend_sensitive', date)
if sensitive_results and sensitive_results != '0':
sensitive_results = json.loads(sensitive_results)
revise_set = set(sensitive_results) - sensitive_list
if revise_set:
r.hset('recommend_sensitive', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_sensitive', date)
influence_results = r.hget('recommend_influence', date)
if influence_results and influence_results != '0':
influence_results = json.loads(influence_results)
revise_set = set(influence_results) - influence_list
if revise_set:
r.hset('recommend_influence', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_influence', date)
# about compute
compute_now_list = r.hget('compute_now', date)
compute_appoint_list = r.hget('compute_appoint', date)
# compute now user list
if compute_now_list:
now_list.extend(json.loads(compute_now_list))
r.hset('compute_now', date, json.dumps(now_list))
else:
r.hset('compute_now', date, json.dumps(now_list))
# appointted compute user list
if compute_appoint_list:
appoint_list.extend(json.loads(compute_appoint_list))
r.hset('compute_appoint', date, json.dumps(appoint_list))
else:
r.hset('compute_appoint', date, json.dumps(appoint_list)) # finish compute, revise 'identify_in_state' uid status
return '1'
def self_add_in(date, word, level, category):
r.hset('sensitive_words', word, json.dumps([level, category]))
r.hset('history_in_'+date, word, json.dumps([level, category]))
return '1'
def identify_in(data):
appoint_list = []
now_list = []
sensitive_list = set()
influence_list = set()
for item in data:
date = item[0] # 2015-09-22
date = str(date).replace('-', '')
uid = item[1]
status = str(item[2])
source = str(item[3])
if source == '1':
r.hset('identify_in_sensitive_' + str(date), uid,
status) # identify in user_list and compute status
sensitive_list.add(uid)
elif source == '2':
r.hset('identify_in_influence_' + str(date), uid, status)
influence_list.add(uid)
if status == '1': # now
now_list.append([uid, source])
if status == '2': # appoint
appoint_list.append([uid, source])
sensitive_results = r.hget('recommend_sensitive', date)
if sensitive_results and sensitive_results != '0':
sensitive_results = json.loads(sensitive_results)
revise_set = set(sensitive_results) - sensitive_list
if revise_set:
r.hset('recommend_sensitive', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_sensitive', date)
influence_results = r.hget('recommend_influence', date)
if influence_results and influence_results != '0':
influence_results = json.loads(influence_results)
revise_set = set(influence_results) - influence_list
if revise_set:
r.hset('recommend_influence', date, json.dumps(list(revise_set)))
else:
r.hdel('recommend_influence', date)
# about compute
compute_now_list = r.hget('compute_now', date)
compute_appoint_list = r.hget('compute_appoint', date)
# compute now user list
if compute_now_list:
now_list.extend(json.loads(compute_now_list))
r.hset('compute_now', date, json.dumps(now_list))
else:
r.hset('compute_now', date, json.dumps(now_list))
# appointted compute user list
if compute_appoint_list:
appoint_list.extend(json.loads(compute_appoint_list))
r.hset('compute_appoint', date, json.dumps(appoint_list))
else:
r.hset('compute_appoint', date, json.dumps(appoint_list)
) # finish compute, revise 'identify_in_state' uid status
return '1'
