def aggregate(self):
conf = self.config.get(self.group)
format = conf.get('format') # Current datetime formatting function
freq = conf.get('freq') # Current frequency
fbegin = conf.get('fbegin') # Converter to begin of period
fend = conf.get('fend') # Converter to end of period
# Align entered datetimes by current group
dtbegin = fbegin(self.fm)
dtend = fend(self.to)
# Generate some test random data
#checkpoints = times.datetime_range(times.MINUTELY, dtstart=dtbegin, until=dtend)
#clicks = [random.choice(checkpoints) for _x in range(10)]
#shows = [random.choice(checkpoints) for _x in range(10000)]
# But this is real data from backend
acts = actions.get_actions_range(dtbegin, dtend, **self.kwargs)
shws = shows.get_shows_range(dtbegin, dtend, **self.kwargs)
# List of all times in interval with period depending on group
keys = times.datetime_range(freq, dtstart=dtbegin, until=dtend)
# Fill result dict with test data
result = dict([(key, [0, 0]) for key in keys])
for act in acts: result[fbegin(act.creation_time)][0] += 1
for shw in shws: result[fbegin(shw.show_time)][1] += 1
# This magic expression transforms dict to list of dicts sorted by datetime
return [dict(time=format(key), clicks=value[0], shows=value[1]) \
for key, value in sorted(result.items(), key=lambda item: item[0])]
def json_get_ctr(**kwargs):
try:
fm = convert.to_datetime(request.args.get('from') + ':00')
to = convert.to_datetime(request.args.get('to') + ':00')
if fm > to: raise ValueError
except:
return u'Неверно указан интервал', 400
try:
group = request.args.get('group')
if group not in ('hour', 'day', 'month', 'year'): raise ValueError
except:
return u'Неверно указана группировка', 400
if group == 'hour':
replacer = times.begin_of_hour
formatter = lambda d: d.strftime('%d.%m.%y') if d.hour == 0 else d.strftime('%H:00')
freq = times.HOURLY
elif group == 'day':
replacer = times.begin_of_day
formatter = lambda d: d.strftime('%d.%m.%y')
freq = times.DAILY
elif group == 'month':
replacer = times.begin_of_month
formatter = lambda d: d.strftime('%m.%Y')
freq = times.MONTHLY
elif group == 'year':
replacer = times.begin_of_year
formatter = lambda d: d.strftime('%Y')
freq = times.YEARLY
#fm = replacer(fm)
#to = replacer(to)
stats = actions.stats.get_stats_ctr(fm, to, group, **kwargs)
keys = times.datetime_range(freq, dtstart=replacer(fm), until=replacer(to))
values = dict([(key, (0, 0, 0.0)) for key in keys]) # if len(stats) != len (keys) else dict()
for stat in stats:
values[replacer(stat.time)] = (stat.shows, stat.actions, round(stat.ctr, 4))
result = [dict(time=formatter(key), shows=value[0], clicks=value[1], ctr=value[2]) \
for key, value in sorted(values.items(), key=lambda item: item[0])]
return jsonify(values=result)
