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generate-activity-metrics: Display by-week usage numbers changes. 

(imported from commit 22bc1592c35c5f86ab89f7f4fc14ba7dbd2375db)
This commit is contained in:
Tim Abbott 2013-05-30 17:16:43 -04:00
parent 42ddabf91a
commit 74f70f3915
1 changed files with 36 additions and 16 deletions
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52
tools/generate-activity-metrics.py
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@ -71,31 +71,51 @@ def best_during_day(data, day):
def percent_diff(prev, cur):
if prev is None or cur is None:
return None
return ((cur - prev) / prev) * 100
if cur == 0 and prev == 0:
return ""
if prev == 0:
return "NaN"
return "%.02f%%" % (((cur - prev) / prev) * 100,)
def parse_data(data, today):
def print_results(all_days, days, compare_with_last=False):
first_data_point = True
best_last_time = 0
for i in all_days:
day = today - timedelta(days=i)
# Ignore weekends
if day.weekday() in days:
best = best_during_day(metric['datapoints'], day)
if best is None:
continue
if not compare_with_last:
percent = percent_diff(best, best_today)
else:
if first_data_point:
percent = ""
first_data_point = False
else:
percent = percent_diff(best_last_time, best)
if best is not None:
print "Last %s, %s %s ago:\t%.01f\t\t%s" \
% (day.strftime("%A"), i, "days", best, percent)
best_last_time = best
for metric in data:
# print "Got %s with data points %s" % (metric['target'], len(metric['datapoints']))
# Calculate % between peak 2hr and 10min across each day and week
metric['datapoints'].sort(key=lambda p: p[1])
best_today = best_during_day(metric['datapoints'], today)
print "Today, 0 days ago:\t\t(%.01f users)" % (best_today,)
print "Date\t\t\t\tUsers\t\tChange from then to today"
print "Today, 0 days ago:\t\t%.01f" % (best_today,)
print_results(xrange(1, 1000), [0, 1, 2, 3, 4, 7])
for i in xrange(1, 100):
day = today - timedelta(days=i)
week = today - timedelta(weeks=i*7)
# Ignore weekends
if day.weekday() not in [5, 6]:
best = best_during_day(metric['datapoints'], day)
if best is not None:
print "Last %s, %s days ago:\t(%.01f users)\t\t%.02f%%" \
% (day.strftime("%A"), i, best, percent_diff(best, best_today))
best = best_during_day(metric['datapoints'], week)
if best is not None:
print "Weekly %% change from %s weeks ago today:\t\t%.02f" \
% (i, percent_diff(best, best_today))
print "\n\nWeekly Wednesday results"
print "Date\t\t\t\tUsers\t\tDelta from previous week"
print_results(reversed(xrange(1, 1000)), [2], True)