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Dynamic app ranking

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relikd
2020-09-22 01:16:17 +02:00
parent 2349b2ca8d
commit 2fd3ebf7e6
3 changed files with 93 additions and 59 deletions
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50
src/html_bundle.py
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@@ -7,7 +7,6 @@ import common_lib as mylib
import download_itunes # get_genres
import bundle_combine # get_evaluated, fname_evaluated
import index_app_names # get_name
import index_meta # get_rank
def gen_dotgraph(sorted_arr):
@@ -94,27 +93,22 @@ def gen_html(bundle_id, obj):
hours, minutes = divmod(minutes, 60)
return '{:02d}:{:02d}:{:02d}'.format(hours, minutes, seconds)
def stat(col, title, rank, value, optional=None, fmt=str, fmt2=None):
# percent = int(rank[0] / max_rank * 100)
r = rank[0] / max_rank
detail = fmt2(value) if fmt2 else fmt(value)
def stat(col, title, ident, value, optional=None):
if optional:
x = fmt(optional) if fmt2 else optional
detail += '<i class="snd mg_lr">({})</i>'.format(x)
return f'''
<div class="col{col}">
<h4>{title}</h4>
<div class="percentile {'g' if r < 0.5 else 'b'}"><div style="left: {as_percent(r)}"></div></div>
<b class="mg_lr">{detail}</b>
value += '<i class="snd mg_lr">({})</i>'.format(optional)
return '''
<div id="{}" class="col{}">
<h4>{}</h4>
<div class="percentile"><div style="left: 50%"></div></div>
<b class="mg_lr">{}</b>
<p class="snd">
Rank:&nbsp;<b>{rank[0]}</b>,
best:&nbsp;<i>{fmt(rank[1])}</i>,
worst:&nbsp;<i>{fmt(rank[2])}</i></p>
</div>'''
Rank:&nbsp;<b>?</b>,
best:&nbsp;<i>?</i>,
worst:&nbsp;<i>?</i></p>
</div>'''.format(ident, col, title, value)
name = index_app_names.get_name(bundle_id)
gernes = download_itunes.get_genres(bundle_id)
rank, max_rank = index_meta.get_rank(bundle_id)
obj['tracker'] = list(filter(lambda x: x[2], obj['subdom']))
return mylib.template_with_base(f'''
<h2 class="title">{name}</h2>
@@ -132,14 +126,14 @@ def gen_html(bundle_id, obj):
</table>
</div>
<div id="stats">
{ stat(1, 'Number of recordings:', rank['sum_rec'], obj['sum_rec']) }
{ stat(1, 'Average recording time:', rank['avg_time'], obj['avg_time'], fmt=seconds_to_time) }
{ stat(2, 'Cumulative recording time:', rank['sum_time'], obj['sum_time'], fmt=seconds_to_time) }
{ stat(1, 'Average number of requests:', rank['avg_logs_pm'], obj['avg_logs'], obj['avg_logs_pm'], fmt=as_pm, fmt2=round_num) }
{ stat(2, 'Total number of requests:', rank['sum_logs_pm'], obj['sum_logs'], obj['sum_logs_pm'], fmt=as_pm, fmt2=str) }
{ stat(1, 'Number of domains:', rank['pardom'], len(obj['pardom'])) }
{ stat(2, 'Number of subdomains:', rank['subdom'], len(obj['subdom'])) }
{ stat(3, 'Tracker percentage:', rank['tracker_percent'], obj['tracker_percent'], fmt=as_percent) }
{ stat(1, 'Number of recordings:', 'sum_rec', obj['sum_rec']) }
{ stat(1, 'Average recording time:', 'avg_time', seconds_to_time(obj['avg_time'])) }
{ stat(2, 'Cumulative recording time:', 'sum_time', seconds_to_time(obj['sum_time'])) }
{ stat(1, 'Average number of requests:', 'avg_logs_pm', round_num(obj['avg_logs']), as_pm(obj['avg_logs_pm'])) }
{ stat(2, 'Total number of requests:', 'sum_logs_pm', str(obj['sum_logs']), as_pm(obj['sum_logs_pm'])) }
{ stat(1, 'Number of domains:', 'pardom', len(obj['pardom'])) }
{ stat(2, 'Number of subdomains:', 'subdom', len(obj['subdom'])) }
{ stat(3, 'Tracker percentage:', 'tracker_percent', as_percent(obj['tracker_percent'])) }
</div>
<h3>Connections</h3>
<div>
@@ -152,7 +146,11 @@ def gen_html(bundle_id, obj):
{ gen_dotgraph(obj['subdom']) }
{ gen_dom_tags(obj['subdom'], isSub=True) }
</div>
<p class="right snd">Download: <a href="data.json" download="{bundle_id}.json">json</a></p>''', title=name)
<p class="right snd">Download: <a href="data.json" download="{bundle_id}.json">json</a></p>
<script type="text/javascript" src="/static/lookup-rank.js"></script>
<script type="text/javascript">
lookup_rank_js('{bundle_id}');
</script>''', title=name)
def process(bundle_ids):