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Use float values for pie graph calculation

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relikd
2020-09-14 23:19:20 +02:00
parent 6b2b94f845
commit 35f949cad4
3 changed files with 13 additions and 15 deletions
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22
src/html_bundle.py
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@@ -90,6 +90,8 @@ def prepare_json(obj):
def transform(ddic):
res = list()
c_sum = 0
c_trkr = 0
for name, (is_tracker, counts) in ddic.items():
rec_percent = len(counts) / rec_count
if rec_percent < THRESHOLD_PERCENT_OF_LOGS:
@@ -98,21 +100,17 @@ def prepare_json(obj):
if avg < THRESHOLD_MIN_AVG_LOGS:
continue
res.append([name, round(avg + 0.001), is_tracker])
c_sum += avg
c_trkr += avg if is_tracker else 0
res.sort(key=lambda x: (-x[1], x[0])) # sort by count desc, then name
return res
return res, c_trkr, c_sum
obj['pardom'] = transform(obj['pardom'])
obj['subdom'] = transform(obj['subdom'])
# do this after the transformation:
c_tracker = 0
c_total = 0
for _, c, flag in obj['subdom']:
c_tracker += c if flag else 0
c_total += c
obj['tracker_percent'] = c_tracker / (c_total or 1)
obj['pardom'], p_t, p_c = transform(obj['pardom'])
obj['subdom'], s_t, s_c = transform(obj['subdom'])
obj['tracker_percent'] = s_t / (s_c or 1)
obj['tracker'] = list(filter(lambda x: x[2], obj['subdom']))
obj['avg_logs'] = c_total
obj['avg_logs_pm'] = c_total / (obj['avg_time'] or 1) * 60
obj['avg_logs'] = s_c
obj['avg_logs_pm'] = s_c / (obj['avg_time'] or 1) * 60
def gen_html(bundle_id, obj):