mirror of
https://gitlab.science.ru.nl/technicie/MarietjeDjango.git
synced 2025-12-09 21:02:24 +01:00
added descriptions to stats and userstats
This commit is contained in:
@ -18,8 +18,8 @@
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</div>
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<div class="col-md-6">
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<h2>Uploads</h2>
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<h4>Total: {{ stats.total_uploads }}</h4>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>In total <strong> {{ stats.total_uploads }} </strong> songs have been uploaded.
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These are the {{ stats.stats_top_count }} people who have uploaded the most.</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -43,8 +43,8 @@
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</div>
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<div class="col-md-6">
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<h2>Requests</h2>
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<h4>Total: {{ stats.total_requests }}</h4>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>In total <strong> {{ stats.total_requests }} </strong> songs have been requested.
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These are the {{ stats.stats_top_count }} people who have requested the most songs.</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -68,8 +68,9 @@
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</div>
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<div class="col-md-6">
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<h2>Time requested</h2>
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<h4>Total: {{stats.total_time_requested}}</h4>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>In total <strong> {{ stats.total_time_requested }} </strong> of music have been requested, with an
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average song length of <strong>{{ stats.total_average }}</strong>.
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These are the {{ stats.stats_top_count }} people with the longest total time queued</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -95,8 +96,9 @@
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</div>
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<div class="col-md-6">
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<h2>Unique requests</h2>
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<h4>Total: {{stats.total_unique_requests.total}}</h4>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>In total <strong> {{stats.total_unique_requests.total}}</strong> different songs
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have been requested. The {{ stats.stats_top_count }} people that have requested the largest number of
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different songs are shown below.
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -120,7 +122,7 @@
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</div>
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<div class="col-md-6">
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<h2>Most played songs</h2>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>These are the {{ stats.stats_top_count }} most played songs ever.</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -146,22 +148,25 @@
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</div>
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<div class="col-md-6">
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<h2>Most played uploaders</h2>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>The left column shows the {{ stats.stats_top_count }} people whose songs are requested most often by other people
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people. The right column shows how many times that person has queued his own songs.</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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<tr>
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<th>#</th>
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<th>User</th>
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<th># Songs</th>
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<th># Others</th>
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<th># Own</th>
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</tr>
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</thead>
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<tbody>
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{% for stat in stats.most_requested_uploaders %}
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<tr>
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<th>{{ forloop.counter }}</th>
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<td>{{ stat.song__user__name }}</td>
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<td>{{ stat.total }} ({% widthratio stat.total stats.total_requests 100 %}%)</td>
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<td>{{ stat.name }}</td>
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<td>{{ stat.total }}</td>
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<td>{{ stat.own_total}}</td>
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</tr>
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{% endfor %}
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</tbody>
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@ -170,7 +175,7 @@
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</div>
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<div class="col-md-6">
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<h2>Most played songs last 14 days</h2>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p>These songs are played the {{ stats.stats_top_count }} most in the last two weeks.</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -19,11 +19,11 @@
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{% endif %}
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</div>
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</div>
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<h4>Total uploads: {{ stats.total_uploads }}</h4>
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<h4>Unique requests: {{ stats.unique_requests }} ({% widthratio stats.unique_requests stats.total_requests 100 %}%)</h4>
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<div class="col-md-6">
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<h2>Most played songs</h2>
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<h4>Total: {{ stats.total_requests }}</h4>
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<p>You have requested <strong> {{ stats.unique_requests }} </strong> different
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songs a total of <strong> {{ stats.total_requests }} </strong> times. This
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means <strong> {% widthratio stats.unique_requests stats.total_requests 100 %}% </strong> of your requests have been unique. </p>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<div class="table-responsive">
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<table class="table table-striped">
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@ -51,8 +51,11 @@
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<div class="row">
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<div class="col-md-6">
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<h2>Uploads requested</h2>
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<h4>Total played by you: {{stats.total_played_user_uploads}}</h4>
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<h4>Total played by others: {{stats.total_played_uploads}}</h4>
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<p> You have uploaded a total of <strong> {{stats.total_uploads }} </strong> songs. The left column
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shows how many times these have been requested by other people. The right column shows
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how many times you requested your own songs. In total your songs
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have been queued <strong> {{stats.total_played_uploads }} </strong> times by others and
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<strong> {{stats.total_played_user_uploads }} </strong> by yourself.
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<div class="table-responsive">
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<table class="table table-striped">
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@ -81,7 +84,7 @@
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</div>
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<div class="col-md-6">
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<h2>Most played uploaders</h2>
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<h4>Top {{ stats.stats_top_count }}:</h4>
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<p> The people whose songs you have queued the most are:</p>
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<div class="table-responsive">
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<table class="table table-striped">
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<thead>
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@ -16,9 +16,11 @@ def recache_stats():
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caches['default'].delete('stats')
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caches['default'].set('stats', new_stats, 2 * 3600)
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return new_stats
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def recache_user_stats():
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users = User.objects.exclude(Q(id=None)
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users = User.objects.exclude(
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Q(id=None)
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| Q(id__in=settings.STATS_REQUEST_IGNORE_USER_IDS)).values('id')
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for user in users:
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new_stats = user_stats(user['id'])
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@ -27,13 +29,51 @@ def recache_user_stats():
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caches['userstats'].set(cacheloc, new_stats, 48 * 3600)
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return new_stats
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def time_convert(time):
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for tr in time:
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tr['duration'] = str(round(tr['total'] / 86400, 2)) + ' days'
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avg_dur_sec = tr['avg_dur']%60
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avg_dur_min = int((tr['avg_dur']-avg_dur_sec)/60)
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tr['avg_dur'] = '{}:{}'.format(avg_dur_min, avg_dur_sec)
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return time
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try:
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for tr in time:
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tr['duration'] = str(round(tr['total'] / 86400, 2)) + ' days'
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avg_dur_sec = tr['avg_dur'] % 60
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avg_dur_min = int((tr['avg_dur'] - avg_dur_sec) / 60)
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tr['avg_dur'] = '{}:{}'.format(avg_dur_min, avg_dur_sec)
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return time
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except:
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avg_dur_sec = round(time % 60)
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avg_dur_min = int(round((time - avg_dur_sec) / 60))
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return ('{} minutes and {} seconds'.format(avg_dur_min, avg_dur_sec))
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def calculate_uploaders(requests_uploader, most_requested_uploaders):
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for x in requests_uploader:
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a = len(most_requested_uploaders)
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b = 0
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while b <= a:
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if b == a:
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adding_list_item(most_requested_uploaders, x)
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elif x['song__user__id'] == most_requested_uploaders[b]['id']:
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if x['song__user__name'] == x['user__name']:
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most_requested_uploaders[b]['own_total'] = x['total']
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else:
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most_requested_uploaders[b]['total'] += x['total']
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break
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b += 1
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return
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def adding_list_item(list, x):
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list.append({
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'id': x['song__user__id'],
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'name': x['song__user__name'],
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'total': 0,
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'own_total': 0
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})
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if x['song__user__id'] == x['user__id']:
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list[-1]['own_total']: x['total']
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else:
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list[-1]['_total']: x['total']
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return
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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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@ -78,28 +118,41 @@ def compute_stats():
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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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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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state=2, played_at__gte=timezone.now() - timedelta(days=14)).exclude(
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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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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=Sum('song__duration'), avg_dur=Sum('song__duration')/Count('id')).order_by(
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'-total')[:settings.STATS_TOP_COUNT]
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'user__id', 'user__name').annotate(
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total=Sum('song__duration'),
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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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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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most_requested_uploaders = PlaylistSong.objects.filter(state=2).exclude(
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total_time_overall = 0
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count = 0
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for x in list(time_requested):
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total_time_overall += x['avg_dur']
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count += 1
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total_average = total_time_overall / count
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total_average = time_convert(total_average)
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requests_uploader = 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__user__id', 'song__user__name').annotate(total=Count(
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'song__user__id')).order_by('-total')[:settings.STATS_TOP_COUNT]
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'song__user__id', 'song__user__name', 'user__name',
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'user__id').annotate(total=Count('song__user__name'))
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most_requested_uploaders = []
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calculate_uploaders(list(requests_uploader), most_requested_uploaders)
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return {
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'last_updated': last_updated,
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@ -117,6 +170,7 @@ def compute_stats():
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'most_requested_uploaders': list(most_requested_uploaders),
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}
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def user_stats(request):
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last_updated = datetime.now()
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@ -148,11 +202,12 @@ def user_stats(request):
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'-total')[:settings.STATS_TOP_COUNT]
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most_played_uploads = PlaylistSong.objects.filter(
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state=2, song_id__in=Song.objects.filter(user__id=request)).exclude(user__id=None).values(
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'song__artist',
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'song__title').annotate(total=Count('id', filter=~Q(user__id=request)), user_total=Count('id', filter=Q(user__id=request))).order_by(
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'-total', 'song__artist',
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'song__title')[:settings.STATS_TOP_COUNT]
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state=2, song_id__in=Song.objects.filter(user__id=request)).exclude(
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user__id=None).values('song__artist', 'song__title').annotate(
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total=Count('id', filter=~Q(user__id=request)),
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user_total=Count('id', filter=Q(user__id=request))).order_by(
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'-total', 'song__artist',
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'song__title')[:settings.STATS_TOP_COUNT]
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most_played = list(most_played_uploads)
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total_played_uploads = 0
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@ -173,4 +228,3 @@ def user_stats(request):
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'total_played_uploads': total_played_uploads,
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'total_played_user_uploads': total_played_user_uploads,
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}
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