def is_forecast_in_past(self, forecast):
day_service = DayService(user = self.__user)
end_of_day = day_service.get_end_of_day(forecast.date)
if end_of_day < timezone.now():
return True
else:
return False
def get_study_end_datetime(self):
study_start_date = self.get_study_start_date()
if study_start_date and self.study_length:
end_date = self.study_start + timedelta(days=self.study_length)
service = DayService(user=self.user)
return service.get_end_of_day(end_date)
else:
return None
def update_message_receipts(self, date):
if not self.user:
return
day_service = DayService(user=self.user)
messages = PushMessage.objects.filter(
recipient=self.user,
created__gte=day_service.get_start_of_day(date),
created__lte=day_service.get_end_of_day(date)).all()
for message in messages:
message.update_message_receipts()
def __get_time_range(self, time_range):
if time_range not in self.TIME_RANGES:
raise RuntimeError('time range not found')
else:
service = DayService(user=self.user)
today = service.get_current_date()
start_date = today - timedelta(days=time_range.offset)
return [
service.get_start_of_day(start_date),
service.get_end_of_day(today)
]
def export_activity_logs(username,
filename=None,
directory=None,
start=None,
end=None):
if not directory:
directory = './'
if not filename:
filename = '%s.activity_logs.csv' % (username)
activity_log_query = ActivityLog.objects.filter(
user__username=username
) \
.order_by('start') \
.prefetch_related('type')
day_service = DayService(username=username)
if start:
start_datetime = day_service.get_start_of_day(start)
activity_log_query = activity_log_query.filter(
start__gte=start_datetime)
if end:
end_datetime = day_service.get_end_of_day(end)
activity_log_query = activity_log_query.filter(start__lte=end_datetime)
rows = []
headers = [
'Participant ID', 'Activity ID', 'Study Day', 'Date', 'Start Time',
'Timezone', 'Activity Type ID', 'Activity Type Title',
'Activity Duration', 'Activity Vigorous'
]
rows.append(headers)
for activity_log in activity_log_query.all():
rows.append([
username, activity_log.id, 'study day',
activity_log.start.astimezone(
pytz.timezone('America/Los_Angeles')).strftime('%Y-%m-%d'),
activity_log.start.astimezone(pytz.timezone(
'America/Los_Angeles')).strftime('%Y-%m-%d %H:%M:%S'),
'timezone', activity_log.type.id, activity_log.type.title,
activity_log.duration, activity_log.vigorous
])
_file = open(path.join(directory, filename), 'w')
writer = csv.writer(_file)
writer.writerows(rows)
_file.close()
def suggestion_time_category_available_at(self, time):
category = self.suggestion_time_category_at(time)
day_service = DayService(user=self.__user)
query = WalkingSuggestionDecision.objects.filter(
user=self.__user,
test=False,
time__range=[
day_service.get_start_of_day(time),
day_service.get_end_of_day(time)
])
tags = [decision.category for decision in query.all()]
if category in tags:
raise self.Unavailable('Time already taken')
else:
return category
def get_adherence_during(self, start, end):
if not self.user:
return []
metrics = {}
adherence_metrics = AdherenceMetric.objects.filter(
user=self.user, date__range=[start, end]).all()
for metric in adherence_metrics:
if metric.date not in metrics:
metrics[metric.date] = {}
metrics[metric.date][metric.category] = metric.value
messages = {}
day_service = DayService(user=self.user)
adherence_messages = AdherenceMessage.objects.filter(
user=self.user,
created__range=[
day_service.get_start_of_day(start),
day_service.get_end_of_day(end)
]).all()
for message in adherence_messages:
message_date = day_service.get_date(message.created)
if message_date not in messages:
messages[message_date] = []
messages[message_date].append({
'category': message.category,
'body': message.body
})
summaries = []
_dates = [
end - timedelta(days=offset)
for offset in range((end - start).days + 1)
]
for _date in _dates:
_metrics = {}
if _date in metrics:
_metrics = metrics[_date]
_messages = []
if _date in messages:
_messages = messages[_date]
summaries.append({
'date': _date,
'metrics': _metrics,
'messages': _messages
})
return summaries
def was_updated_on(self, date):
day_service = DayService(user=self.__user)
start = day_service.get_start_of_day(date)
end = day_service.get_end_of_day(date)
return self.account.was_updated_between(start, end)
