def creations(users):
print "bar"
cusave = [wuw.reduceRepeatLogsValues(list(cu.activitylog_set.filter(action__in=['notecapture-focus','note-add']).values())) for cu in users]
means = []
varss = []
userstimes = []
for u_i in xrange(len(cusave)):
print u_i
user = users[u_i]
print user
uals = cusave[u_i]
uals.sort(key=lambda x: long(x["when"]))
if len(uals) == 0: continue
print len(uals)
thisal = uals[0]
usertimes = []
for al in uals[1:]:
if thisal["action"] == 'notecapture-focus' and al["action"] == 'note-add':
elapsed = long(al["when"]) - long(thisal["when"])
usertimes.append(long(al["when"]) - long(thisal["when"]))
thisal = al
userstimes.append(usertimes)
try:
means.append(mean(usertimes))
varss.append(variance(usertimes))
except:
import sys
print sys.exc_info()
return reduce(lambda x,y:x+y, userstimes),userstimes,means,varss
def user_search(user, days_ago=None, nosmoothing=False):
from jv3.study.content_analysis import activity_logs_for_user
global search_cache
global search_query_cache
alogs = wuw.reduceRepeatLogsValues(
activity_logs_for_user(user, None, days_ago))
searches = []
queries = []
last_time = 0
for al_i in range(len(alogs)):
al = alogs[al_i]
if al["action"] == 'search':
try:
query = JSONDecoder().decode(al["search"])
except:
continue
if type(query) == dict:
key = None
if 'search' in query: key = 'search'
if 'query' in query: key = 'query'
if key is not None:
# no empty searches pls
if len(query[key].strip()) > 0 and nosmoothing or long(
al['when']) - long(last_time) > (
10 * 1000): # 10 second smoothing
queries.append(query[key])
al['query'] = query[key]
al['hits'] = query.get('hits', [])
searches.append(al)
last_time = al['when']
elif al["action"] == 'clear-search' and (
nosmoothing or long(al['when']) - long(last_time) >
(10 * 1000)):
al['query'] = ''
searches.append(al)
last_time = al["when"]
search_cache[user.id] = searches
search_query_cache[user.id] = queries
return searches, nltk.FreqDist(queries)
def user_search(user,days_ago=None,nosmoothing=False):
from jv3.study.content_analysis import activity_logs_for_user
global search_cache
global search_query_cache
alogs = wuw.reduceRepeatLogsValues(activity_logs_for_user(user,None,days_ago))
searches = []
queries = []
last_time = 0
for al_i in range(len(alogs)):
al = alogs[al_i]
if al["action"] == 'search':
try:
query = JSONDecoder().decode(al["search"])
except:
continue
if type(query) == dict:
key = None
if 'search' in query: key = 'search'
if 'query' in query: key = 'query'
if key is not None:
# no empty searches pls
if len(query[key].strip()) > 0 and nosmoothing or long(al['when'])-long(last_time) > (10*1000): # 10 second smoothing
queries.append(query[key])
al['query'] = query[key]
al['hits'] = query.get('hits',[])
searches.append(al)
last_time = al['when']
elif al["action"] == 'clear-search' and (nosmoothing or long(al['when'])-long(last_time) > (10*1000)):
al['query'] = ''
searches.append(al)
last_time = al["when"]
search_cache[user.id] = searches
search_query_cache[user.id] = queries
return searches,nltk.FreqDist(queries)
def creations(users):
print "bar"
cusave = [
wuw.reduceRepeatLogsValues(
list(
cu.activitylog_set.filter(
action__in=['notecapture-focus', 'note-add']).values()))
for cu in users
]
means = []
varss = []
userstimes = []
for u_i in xrange(len(cusave)):
print u_i
user = users[u_i]
print user
uals = cusave[u_i]
uals.sort(key=lambda x: long(x["when"]))
if len(uals) == 0: continue
print len(uals)
thisal = uals[0]
usertimes = []
for al in uals[1:]:
if thisal["action"] == 'notecapture-focus' and al[
"action"] == 'note-add':
elapsed = long(al["when"]) - long(thisal["when"])
usertimes.append(long(al["when"]) - long(thisal["when"]))
thisal = al
userstimes.append(usertimes)
try:
means.append(mean(usertimes))
varss.append(variance(usertimes))
except:
import sys
print sys.exc_info()
return reduce(lambda x, y: x + y, userstimes), userstimes, means, varss
