Files
MarietjeDjango/marietje/stats/utils.py
2020-03-28 15:04:42 +01:00

268 lines
12 KiB
Python

from datetime import datetime, timedelta
from django.core.cache import caches
from django.conf import settings
from django.db.models import Count, Q, Sum
from django.utils import timezone
from queues.models import PlaylistSong
from songs.models import Song
from marietje.models import User
CACHE_TTL = 2 * 24 * 3600
def recache_stats():
new_stats = compute_stats()
caches['default'].delete('stats')
caches['default'].set('stats', new_stats, CACHE_TTL)
return new_stats
def recache_user_stats():
users = User.objects.exclude(
Q(id=None)
| Q(id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values('id')
for user in users:
new_stats = user_stats(user['id'])
cacheloc = 'userstats_{}'.format(user['id'])
caches['userstats'].delete(cacheloc)
caches['userstats'].set(cacheloc, new_stats, CACHE_TTL)
return new_stats
def best_uploaders_list(requests_uploader, most_requested_uploaders):
for requests in requests_uploader:
a = len(most_requested_uploaders)
b = 0
while b <= a:
if b == a:
adding_list_item(most_requested_uploaders, requests)
elif requests[
'song__user__id'] == most_requested_uploaders[b]['id']:
if requests['song__user__name'] == requests['user__name']:
most_requested_uploaders[b][
'own_total'] = requests['total']
else:
most_requested_uploaders[b]['total'] += requests['total']
break
b += 1
def adding_list_item(most_requested_list, requests):
# adds a single item to the best_uploaders list
most_requested_list.append({
'id': requests['song__user__id'],
'name': requests['song__user__name'],
'total': 0,
'own_total': 0
})
if requests['song__user__id'] == requests['user__id']:
most_requested_list[-1]['own_total'] = requests['total']
else:
most_requested_list[-1]['total'] = requests['total']
def compute_stats():
# We want to grab the time now, because otherwise we would be reporting a minute too late
last_updated = datetime.now()
stats = {}
stats['total_uploads'] = Song.objects.filter(deleted=False).exclude(
user_id=None).count()
stats['upload_stats'] = Song.objects.filter(deleted=False).exclude(
user_id=None).values(
'user__id', 'user__name').annotate(total=Count('id')).order_by(
'-total', 'user__name')[:settings.STATS_TOP_COUNT]
stats['total_requests'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).count()
stats['request_stats'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'user__id', 'user__name').annotate(total=Count('id')).order_by(
'-total', 'user__name')[:settings.STATS_TOP_COUNT]
stats['unique_request_stats'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'user__id', 'user__name').annotate(
total_requests=Count('id', distinct=True),
unique_requests=Count('song__id', distinct=True)).order_by(
'-unique_requests')[:settings.STATS_TOP_COUNT]
stats['total_unique_requests'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).aggregate(
total=Count('song__id', distinct=True))
stats['most_played_songs'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'song__artist',
'song__title').annotate(total=Count('id')).order_by(
'-total', 'song__artist')[:settings.STATS_TOP_COUNT]
stats['most_played_artists'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'song__artist').annotate(total=Count('song__artist')).order_by(
'-total', 'song__artist')[:settings.STATS_TOP_COUNT]
stats['most_played_songs_14_days'] = PlaylistSong.objects.filter(
state=2, played_at__gte=timezone.now() -
timedelta(days=14)).exclude(user_id=None).values(
'song__artist',
'song__title').annotate(total=Count('id')).order_by(
'-total', 'song__artist')[:settings.STATS_TOP_COUNT]
stats['time_requested'] = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'user__id', 'user__name').annotate(
total=Sum('song__duration'),
avg_dur=Sum('song__duration') /
Count('id')).order_by('-total')[:settings.STATS_TOP_COUNT]
stats['total_time_requested'] = PlaylistSong.objects.all().filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).aggregate(
total=Sum('song__duration'))
total_time_overall = sum(x['avg_dur'] for x in list(stats['time_requested']))
total_average = total_time_overall / len(stats['time_requested'])
avg_dur_min, avg_dur_sec = divmod(total_average, 60)
total_average = '{:.0f} minutes and {:.0f} seconds'.format(
avg_dur_min, avg_dur_sec)
requests_uploader = PlaylistSong.objects.filter(state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'song__user__id', 'song__user__name', 'user__name',
'user__id').annotate(total=Count('song__user__name'))
most_requested_uploaders = []
best_uploaders_list(list(requests_uploader), most_requested_uploaders)
most_requested_uploaders = sorted(most_requested_uploaders, key=lambda x: x['total'], reverse=True)[:settings.STATS_TOP_COUNT]
for time in list(stats['time_requested']):
# converts total time and average time in respectively days and minutes, seconds
time['duration'] = str(round(time['total'] / 86400, 2)) + ' days'
avg_dur_min, avg_dur_sec = divmod(time['avg_dur'], 60)
if avg_dur_sec < 10:
avg_dur_sec = '0' + str(avg_dur_sec)
time['avg_dur'] = '{}:{}'.format(avg_dur_min, avg_dur_sec)
# Convert requested time to days
time_requested = list(stats['time_requested'])
for tr in time_requested:
tr['duration'] = "{:5.2f} days".format(tr['total'] / 86400)
return {
'last_updated': last_updated,
'total_uploads': "{0:,.0f}".format(stats['total_uploads']),
'total_uploads_perc': stats['total_uploads'],
'upload_stats': list(stats['upload_stats']),
'total_requests': "{0:,.0f}".format(stats['total_requests']),
'total_requests_perc': stats['total_requests'],
'request_stats': list(stats['request_stats']),
'unique_request_stats': list(stats['unique_request_stats']),
'total_unique_requests': "{0:,.0f}".format(stats['total_unique_requests']['total']),
'most_played_songs': list(stats['most_played_songs']),
'most_played_artists': list(stats['most_played_artists']),
'most_played_songs_14_days': list(stats['most_played_songs_14_days']),
'time_requested': stats['time_requested'],
'total_time_requested': str(round(float(
stats['total_time_requested']['total']) / 86400, 2)) + ' days',
'stats_top_count': settings.STATS_TOP_COUNT,
'most_requested_uploaders': list(most_requested_uploaders),
'total_average': total_average,
}
def user_stats(request):
last_updated = datetime.now()
total_uploads = Song.objects.filter(
user__id=request, deleted=False).count()
total_requests = PlaylistSong.objects.filter(
user__id=request, state=2).count()
unique_requests = PlaylistSong.objects.filter(
user__id=request, state=2,
song_id__isnull=False).values('song_id').distinct().count()
most_played_songs = PlaylistSong.objects.filter(
user__id=request, state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'song__artist',
'song__title').annotate(total=Count('id')).order_by(
'-total', 'song__artist',
'song__title')[:settings.STATS_TOP_COUNT]
most_played_artists = PlaylistSong.objects.filter(
user__id=request, state=2,
song_id__isnull=False).values('song__artist').annotate(
total=Count('song__artist')).order_by(
'-total', 'song__artist')[:settings.STATS_TOP_COUNT]
most_played_uploaders = PlaylistSong.objects.filter(
user__id=request, state=2).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'song__user__id', 'song__user__name').annotate(
total=Count('song__user__id')).order_by(
'-total')[:settings.STATS_TOP_COUNT]
biggest_fans = PlaylistSong.objects.filter(
state=2, song_id__in=Song.objects.filter(user__id=request)).exclude(
Q(user_id=None)
| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
'user__id', 'user__name').annotate(
total=Count('user__id')).order_by(
'-total')[:settings.STATS_TOP_COUNT]
most_played_uploads = PlaylistSong.objects.filter(
state=2, song_id__in=Song.objects.filter(user__id=request)).exclude(
user__id=None).values('song__artist', 'song__title').annotate(
total=Count('id', filter=~Q(user__id=request)),
user_total=Count('id', filter=Q(user__id=request))).order_by(
'-total', 'song__artist', 'song__title')
most_played_uploaded_artists = PlaylistSong.objects.filter(
state=2, song_id__in=Song.objects.filter(user__id=request)).exclude(
user__id=None).values('song__artist').annotate(total=Count(
'song__artist', filter=~Q(user__id=request)), user_total=Count(
'id', filter=Q(user__id=request))).order_by(
'-total', 'song__artist')
most_played = list(most_played_uploads)
total_played = {}
total_played['uploads'] = 0
total_played['user_uploads'] = 0
for x in most_played:
total_played['uploads'] += x['total']
total_played['user_uploads'] += x['user_total']
most_played_uploads_list = sorted(most_played_uploads, key=lambda x: (x['song__artist'], x['song__title']))
most_played_uploads_list = sorted(most_played_uploads_list, key=lambda x: x["total"], reverse=True)[:settings.STATS_TOP_COUNT]
most_played_uploaded_artists = sorted(list(most_played_uploaded_artists), key=lambda x: x["total"], reverse=True)[:settings.STATS_TOP_COUNT]
return {
'last_updated': last_updated,
'total_uploads': total_uploads,
'total_requests': total_requests,
'unique_requests': unique_requests,
'most_played_songs': list(most_played_songs),
'most_played_artists': list(most_played_artists),
'most_played_uploaders': list(most_played_uploaders),
'most_played_uploads': most_played_uploads_list,
'most_played_uploaded_artists': most_played_uploaded_artists,
'stats_top_count': settings.STATS_TOP_COUNT,
'total_played_uploads': total_played['uploads'],
'total_played_user_uploads': total_played['user_uploads'],
'biggest_fans': list(biggest_fans),
}