def monitor(request, template='feedly/monitor.html'):
context = RequestContext(request)
#HACK for django <1.3 beta compatibility
if 'STATIC_URL' not in context and 'MEDIA_URL' in context:
context['STATIC_URL'] = context['MEDIA_URL']
sample_size = int(request.GET.get('sample_size', 2))
lucky_users = random.sample(xrange(10 ** 6), sample_size) + [13]
users_dict = get_user_model().objects.get_cached_users(lucky_users)
#retrieve all the counts in one pipelined request(s)
count_dict = {}
with get_redis_connection().map() as redis:
for user_id in users_dict:
feed = LoveFeed(user_id, redis=redis)
count = feed.count()
count_dict[user_id] = count
for user_id, count in count_dict.items():
profile = users_dict[user_id].get_profile()
redis_count = int(count_dict[user_id])
db_max = redis_count + 10
db_count = profile._following_loves().count()
print profile, db_count, long(redis_count)
return render_to_response(template, context)
def monitor(request, template='feedly/monitor.html'):
context = RequestContext(request)
#HACK for django <1.3 beta compatibility
if 'STATIC_URL' not in context and 'MEDIA_URL' in context:
context['STATIC_URL'] = context['MEDIA_URL']
sample_size = int(request.GET.get('sample_size', 2))
lucky_users = random.sample(xrange(10**6), sample_size) + [13]
users_dict = User.objects.get_cached_users(lucky_users)
#retrieve all the counts in one pipelined request(s)
count_dict = {}
with get_redis_connection().map() as redis:
for user_id in users_dict:
feed = LoveFeed(user_id, redis=redis)
count = feed.count()
count_dict[user_id] = count
for user_id, count in count_dict.items():
profile = users_dict[user_id].get_profile()
redis_count = int(count_dict[user_id])
db_max = redis_count + 10
db_count = profile._following_loves().count()
print profile, db_count, long(redis_count)
return render_to_response(template, context)
def index(request, template='feedly/index.html'):
context = RequestContext(request)
#HACK for django <1.3 beta compatibility
if 'STATIC_URL' not in context and 'MEDIA_URL' in context:
context['STATIC_URL'] = context['MEDIA_URL']
sample_size = int(request.GET.get('sample_size', 1000))
context['sample_size'] = sample_size
lucky_users = random.sample(xrange(10 ** 6), sample_size) + [13]
users_dict = get_user_model().objects.get_cached_users(lucky_users)
buckets = [0, 24, 1 * 24, 3 * 24, 10 * 24, 30 * 24, 50 * 24, 100 *
24, 150 * 24, 1000 * 24]
bucket_dict = dict([(b, 0) for b in buckets])
count_dict = {}
#retrieve all the counts in one pipelined request(s)
with get_redis_connection().map() as redis:
for user_id in users_dict:
feed = LoveFeed(user_id, redis=redis)
count = feed.count()
count_dict[user_id] = count
#divide into buckets using bisect left
for user_id, count in count_dict.items():
bucket_index = bisect.bisect_left(buckets, count)
bucket = buckets[bucket_index]
bucket_dict[bucket] += 1
bucket_stats = bucket_dict.items()
bucket_stats.sort(key=lambda x: x[0])
context['bucket_stats'] = bucket_stats
return render_to_response(template, context)
def index(request, template='feedly/index.html'):
context = RequestContext(request)
#HACK for django <1.3 beta compatibility
if 'STATIC_URL' not in context and 'MEDIA_URL' in context:
context['STATIC_URL'] = context['MEDIA_URL']
sample_size = int(request.GET.get('sample_size', 1000))
context['sample_size'] = sample_size
lucky_users = random.sample(xrange(10**6), sample_size) + [13]
users_dict = User.objects.get_cached_users(lucky_users)
buckets = [
0, 24, 1 * 24, 3 * 24, 10 * 24, 30 * 24, 50 * 24, 100 * 24, 150 * 24,
1000 * 24
]
bucket_dict = dict([(b, 0) for b in buckets])
count_dict = {}
#retrieve all the counts in one pipelined request(s)
with get_redis_connection().map() as redis:
for user_id in users_dict:
feed = LoveFeed(user_id, redis=redis)
count = feed.count()
count_dict[user_id] = count
#divide into buckets using bisect left
for user_id, count in count_dict.items():
bucket_index = bisect.bisect_left(buckets, count)
bucket = buckets[bucket_index]
bucket_dict[bucket] += 1
bucket_stats = bucket_dict.items()
bucket_stats.sort(key=lambda x: x[0])
context['bucket_stats'] = bucket_stats
return render_to_response(template, context)
