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https://gitlab.science.ru.nl/technicie/MarietjeDjango.git
synced 2025-12-09 21:02:24 +01:00
pylint fixes
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@ -105,7 +105,7 @@ CACHES = {
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'userstats': {
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'BACKEND': 'django.core.cache.backends.filebased.FileBasedCache',
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'LOCATION': '/var/tmp/MarietjeDjango_cache/default',
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'OPTIONS': { 'MAX_ENTRIES': 1500 },
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'OPTIONS': {'MAX_ENTRIES': 1500},
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},
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}
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@ -64,26 +64,27 @@ def adding_list_item(most_requested_list, requests):
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def compute_stats():
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# We want to grab the time now, because otherwise we would be reporting a minute too late
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last_updated = datetime.now()
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stats = {}
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total_uploads = Song.objects.filter(deleted=False).exclude(
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stats['total_uploads'] = Song.objects.filter(deleted=False).exclude(
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user_id=None).count()
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upload_stats = Song.objects.filter(deleted=False).exclude(
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stats['upload_stats'] = Song.objects.filter(deleted=False).exclude(
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user_id=None).values(
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'user__id', 'user__name').annotate(total=Count('id')).order_by(
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'-total', 'user__name')[:settings.STATS_TOP_COUNT]
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total_requests = PlaylistSong.objects.filter(state=2).exclude(
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stats['total_requests'] = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).count()
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request_stats = PlaylistSong.objects.filter(state=2).exclude(
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stats['request_stats'] = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
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'user__id', 'user__name').annotate(total=Count('id')).order_by(
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'-total', 'user__name')[:settings.STATS_TOP_COUNT]
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unique_request_stats = PlaylistSong.objects.filter(state=2).exclude(
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stats['unique_request_stats'] = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
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'user__id', 'user__name').annotate(
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@ -91,27 +92,26 @@ def compute_stats():
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unique_requests=Count('song__id', distinct=True)).order_by(
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'-unique_requests')[:settings.STATS_TOP_COUNT]
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total_unique_requests = PlaylistSong.objects.filter(state=2).exclude(
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stats['total_unique_requests'] = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).aggregate(
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total=Count('song__id', distinct=True))
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most_played_songs = PlaylistSong.objects.filter(state=2).exclude(
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stats['most_played_songs'] = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
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'song__artist',
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'song__title').annotate(total=Count('id')).order_by(
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'-total', 'song__artist')[:settings.STATS_TOP_COUNT]
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most_played_songs_14_days = PlaylistSong.objects.filter(
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stats['most_played_songs_14_days'] = PlaylistSong.objects.filter(
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state=2, played_at__gte=timezone.now() -
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timedelta(days=14)).exclude(user_id=None).values(
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'song__artist',
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'song__title').annotate(total=Count('id')).order_by(
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'-total', 'song__artist')[:settings.STATS_TOP_COUNT]
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time_requested = PlaylistSong.objects.filter(state=2).exclude(
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stats['time_requested'] = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values(
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'user__id', 'user__name').annotate(
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@ -119,16 +119,16 @@ def compute_stats():
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avg_dur=Sum('song__duration') /
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Count('id')).order_by('-total')[:settings.STATS_TOP_COUNT]
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total_time_requested = PlaylistSong.objects.all().filter(state=2).exclude(
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stats['total_time_requested'] = PlaylistSong.objects.all().filter(state=2).exclude(
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Q(user_id=None)
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| Q(user_id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).aggregate(
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total=Sum('song__duration'))
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total_time_overall = sum(x['avg_dur'] for x in list(time_requested))
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total_average = total_time_overall / len(time_requested)
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total_time_overall = sum(x['avg_dur'] for x in list(stats['time_requested']))
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total_average = total_time_overall / len(stats['time_requested'])
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avg_dur_min, avg_dur_sec = divmod(total_average, 60)
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total_average = '{} minutes and {} seconds'.format(
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avg_dur_min, avg_dur_sec)
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avg_dur_min, avg_dur_sec)
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requests_uploader = PlaylistSong.objects.filter(state=2).exclude(
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Q(user_id=None)
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@ -139,7 +139,7 @@ def compute_stats():
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most_requested_uploaders = []
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best_uploaders_list(list(requests_uploader), most_requested_uploaders)
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for time in list(time_requested):
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for time in list(stats['time_requested']):
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# converts total time and average time in respectively days and minutes, seconds
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time['duration'] = str(round(time['total'] / 86400, 2)) + ' days'
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avg_dur_min, avg_dur_sec = divmod(time['avg_dur'], 60)
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@ -148,23 +148,23 @@ def compute_stats():
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time['avg_dur'] = '{}:{}'.format(avg_dur_min, avg_dur_sec)
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# Convert requested time to days
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time_requested = list(time_requested)
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time_requested = list(stats['time_requested'])
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for tr in time_requested:
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tr['duration'] = str(round(tr['total'] / 86400, 2)) + ' days'
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return {
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'last_updated': last_updated,
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'total_uploads': total_uploads,
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'upload_stats': list(upload_stats),
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'total_requests': total_requests,
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'request_stats': list(request_stats),
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'unique_request_stats': list(unique_request_stats),
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'total_unique_requests': total_unique_requests,
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'most_played_songs': list(most_played_songs),
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'most_played_songs_14_days': list(most_played_songs_14_days),
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'time_requested': time_requested,
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'total_uploads': stats['total_uploads'],
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'upload_stats': list(stats['upload_stats']),
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'total_requests': stats['total_requests'],
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'request_stats': list(stats['request_stats']),
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'unique_request_stats': list(stats['unique_request_stats']),
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'total_unique_requests': stats['total_unique_requests'],
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'most_played_songs': list(stats['most_played_songs']),
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'most_played_songs_14_days': list(stats['most_played_songs_14_days']),
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'time_requested': stats['time_requested'],
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'total_time_requested': str(round(float(
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total_time_requested['total']) / 86400, 2)) + ' days',
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stats['total_time_requested']['total']) / 86400, 2)) + ' days',
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'stats_top_count': settings.STATS_TOP_COUNT,
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'most_requested_uploaders': list(most_requested_uploaders),
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'total_average': total_average,
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