def process_timeline(user_id, time_range, tag=''):
"""
process single user's timeline with timerange
:param user_id:
:param time_range: 10 digits
:return:
"""
print '[%s]start process user:%s time_range: from %s to %s' % (
datetime.datetime.now(), user_id, datetime.datetime.fromtimestamp(time_range[0]),
datetime.datetime.fromtimestamp(time_range[1]))
combined_timelines = combine_timeline(user_id, (time_range[0], time_range[1]))
# insert_count = save_timeline2mongo(combined_timelines)
insert_count = dao_utils.save_raw_timeline2mongo(combined_timelines, tag=tag)
if insert_count is not None:
print '[%s]user:%s done, process timeline count = %s' % (datetime.datetime.now(), user_id, insert_count)
else:
print '[%s]user:%s error' % (datetime.datetime.now(), user_id)
def process_timeline(user_id, time_range, tag=''):
"""
process single user's timeline with timerange
:param user_id:
:param time_range: 10 digits
:return:
"""
print '[%s]start process user:%s time_range: from %s to %s' % (
datetime.datetime.now(), user_id,
datetime.datetime.fromtimestamp(
time_range[0]), datetime.datetime.fromtimestamp(time_range[1]))
combined_timelines = combine_timeline(user_id,
(time_range[0], time_range[1]))
# insert_count = save_timeline2mongo(combined_timelines)
insert_count = dao_utils.save_raw_timeline2mongo(combined_timelines,
tag=tag)
if insert_count is not None:
print '[%s]user:%s done, process timeline count = %s' % (
datetime.datetime.now(), user_id, insert_count)
else:
print '[%s]user:%s error' % (datetime.datetime.now(), user_id)
'timestamp': item['data']['startTime'],
'start_ts': item['data']['startTime'],
'start_datetime': datetime.datetime.fromtimestamp(item['data']['startTime'] / 1000,
pytz.timezone('UTC')),
'end_ts': item['data']['endTime'],
'end_datetime': datetime.datetime.fromtimestamp(item['data']['endTime'] / 1000, pytz.timezone('UTC')),
'start_location': {'title': start_poi[0], 'dist': start_poi[1],
'geo_point': start_location_item['location']},
'end_location': {'title': end_poi[0], 'dist': end_poi[1],
'geo_point': end_location_item['location']},
'evidence_list': {'location_ids': location_ids,
'motion_ids': motion_ids, 'event_ids': [item['data']['_id']]},
'motion_count': motion_dict,
'poi': {'title': nearest_poi[0], 'dist': nearest_poi[1], 'geo_point': poi['location']}})
# for
# print '12312'
# pass
return timeline
if __name__ == '__main__':
# get_user_hos('564ee2fbddb28e2d3f880165', (start_timestamp, end_timestamp))
# get_user_events('560388c100b09b53b59504d2', (start_timestamp, end_timestamp))
start_timestamp = time_utils.trans_strtime2timestamp('2016-01-10 00:00:00')
end_timestamp = time_utils.trans_strtime2timestamp('2016-01-21 23:59:59')
combined_timelines = combine_timeline('5634da2360b22ab52ef82a45', (start_timestamp, end_timestamp))
if dao_utils.save_raw_timeline2mongo(combined_timelines):
print 'done'
else:
print 'error'
'evidence_list': {
'location_ids': location_ids,
'motion_ids': motion_ids,
'event_ids': [item['data']['_id']]
},
'motion_count':
motion_dict,
'poi': {
'title': nearest_poi[0],
'dist': nearest_poi[1],
'geo_point': poi['location']
}
})
# for
# print '12312'
# pass
return timeline
if __name__ == '__main__':
# get_user_hos('564ee2fbddb28e2d3f880165', (start_timestamp, end_timestamp))
# get_user_events('560388c100b09b53b59504d2', (start_timestamp, end_timestamp))
start_timestamp = time_utils.trans_strtime2timestamp('2016-01-10 00:00:00')
end_timestamp = time_utils.trans_strtime2timestamp('2016-01-21 23:59:59')
combined_timelines = combine_timeline('5634da2360b22ab52ef82a45',
(start_timestamp, end_timestamp))
if dao_utils.save_raw_timeline2mongo(combined_timelines):
print 'done'
else:
print 'error'