def get_active_recent(domain, monthspan):
months = (domain.internal.experienced_threshold
or DEFAULT_EXPERIENCED_THRESHOLD) - 1
threshold_month = add_months(monthspan.startdate.year,
monthspan.startdate.month, -months)
first_month = datetime.date(day=1,
year=threshold_month[0],
month=threshold_month[1])
all_users, users_dict, sms = active_mobile_users(
domain, first_month, monthspan.computed_enddate)
return set(users_dict.keys()) | sms
def classify_users(domain, monthspan):
performing_users = set()
experienced_users = set()
eligible_forms = 0
all_users, user_forms, sms = active_mobile_users(domain, monthspan.startdate, monthspan.computed_enddate)
user_query = MALTRow.objects.filter(domain_name=domain).filter(month__lte=monthspan.startdate)\
.values('user_id', 'month').distinct()
user_months = defaultdict(int)
for entry in user_query:
user_months[entry['user_id']] += 1
for user in all_users:
if user_forms.get(user, 0) >= \
(domain.internal.performance_threshold or DEFAULT_PERFORMANCE_THRESHOLD):
performing_users.add(user)
if user_months.get(user, 0) >= \
(domain.internal.experienced_threshold or DEFAULT_EXPERIENCED_THRESHOLD):
experienced_users.add(user)
for user in performing_users & experienced_users:
eligible_forms += user_forms.get(user)
return UserCategories(set(user_forms.keys()), performing_users,
experienced_users, all_users, sms, eligible_forms)
def get_active_recent(domain, monthspan):
months = (domain.internal.experienced_threshold or DEFAULT_EXPERIENCED_THRESHOLD) - 1
threshold_month = add_months(monthspan.startdate.year, monthspan.startdate.month, -months)
first_month = datetime.date(day=1, year=threshold_month[0], month=threshold_month[1])
all_users, users_dict, sms = active_mobile_users(domain, first_month, monthspan.computed_enddate)
return set(users_dict.keys()) | sms
