def process_event(event):
"""
Process event by sending events to the realtime event feed, storing events
in postgres and updating the buckets in redis.
Args:
event: a dictionary containing event information
Return:
None
"""
# send events to channels group to be sent to the events feed
Group("events").send({"text": event})
Event.objects.get_or_create(
user_name=event["user"],
date=pytz.utc.localize(datetime.utcfromtimestamp(event["date"] /
1000)),
event_type=event["eventType"],
event_info=event.get("eventInfo", {}),
)
# update statistics
DataStoreService().update_buckets(event)
def daily_goal_complete_event(self):
print 'DailyGoalCompletedEvent'
# update statistics
DataStoreService().update_buckets(self.event)
def get_monthly_history(self, user):
"""
Retrieve daily buckets for this month.
"""
buckets = DataStoreService().get_buckets_current_month(user)
return self.generate_bucket_lists(buckets)
def work_session_completed_event(self):
print 'WorkSessionCompletedEvent'
# update statistics
DataStoreService().update_buckets(self.event)
def get_daily_history(self, user):
"""
Retrieve hourly buckets for today.
"""
buckets = DataStoreService().get_buckets_current_day(user)
return self.convert_buckets_to_dict(buckets)