@decorator_builder(LiveAccount.header())
def live_accounts_agg(metric):
""" Computes the fraction of editors that have "live" accounts """
total=0
pos=0
for r in metric.__iter__():
try:
if r[1]: pos+=1
total+=1
except IndexError: continue
except TypeError: continue
if total:
return [total, pos, float(pos) / total]
else:
return [total, pos, 0.0]
# Build "rate" decorator
live_accounts_agg = boolean_rate
live_accounts_agg = decorator_builder(LiveAccount.header())(live_accounts_agg)
setattr(live_accounts_agg, um.METRIC_AGG_METHOD_FLAG, True)
setattr(live_accounts_agg, um.METRIC_AGG_METHOD_NAME, 'live_accounts_agg')
setattr(live_accounts_agg, um.METRIC_AGG_METHOD_HEAD, ['total_users',
'is_live','rate'])
setattr(live_accounts_agg, um.METRIC_AGG_METHOD_KWARGS, {'val_idx' : 1})
if __name__ == "__main__":
users = ['17792132', '17797320', '17792130', '17792131', '17792136',
13234584, 156171]
la = LiveAccount()
for r in la.process(users,log=True): print r
@um.UserMetric.pre_process_users
def process(self, user_handle, **kwargs):
"""
Wraps the functionality of UserMetric::Threshold by setting the `survival` flag in process().
- Parameters:
- **user_handle** - String or Integer (optionally lists). Value or list of values representing user handle(s).
"""
self.apply_default_kwargs(kwargs,'process')
kwargs['survival'] = True
kwargs['n'] = 1 # survival is denoted by making at least one revision
self._results = th.Threshold(**kwargs).process(user_handle, **kwargs)._results
return self
# Build "rate" decorator
survival_editors_agg = boolean_rate
survival_editors_agg = decorator_builder(Survival.header())(survival_editors_agg)
setattr(survival_editors_agg, um.METRIC_AGG_METHOD_FLAG, True)
setattr(survival_editors_agg, um.METRIC_AGG_METHOD_NAME, 'survival_editors_agg')
setattr(survival_editors_agg, um.METRIC_AGG_METHOD_HEAD, ['total_users',
'has_survived','rate'])
setattr(survival_editors_agg, um.METRIC_AGG_METHOD_KWARGS, {'val_idx' : 1})
# testing
if __name__ == "__main__":
# did these users survive after a day?
for r in Survival().process([13234584, 156171], num_threads=2, log_progress=True).__iter__(): print r
state = args[1]
thread_args = RevertRateArgsClass(state[0],state[1],state[2],state[3],
state[4],state[5],state[6])
rev_data = args[0]
revision_count = 0.0
revert_count = 0.0
for rev in rev_data:
if __revert(rev[0], rev[1], rev[2], rev[3], thread_args):
revert_count += 1.0
revision_count += 1.0
return [(revision_count, revert_count)]
# Build "weighted rate" decorator
revert_rate_avg = weighted_rate
revert_rate_avg = decorator_builder(RevertRate.header())(
revert_rate_avg)
setattr(revert_rate_avg, um.METRIC_AGG_METHOD_FLAG, True)
setattr(revert_rate_avg, um.METRIC_AGG_METHOD_NAME, 'revert_rate_avg')
setattr(revert_rate_avg, um.METRIC_AGG_METHOD_HEAD, ['total_users',
'total_revisions',
'average_rate',])
setattr(revert_rate_avg, um.METRIC_AGG_METHOD_KWARGS, {'val_idx' : 1,
'weight_idx' : 1})
# testing
if __name__ == "__main__":
r = RevertRate()
users = ['17792132', '17797320', '17792130', '17792131', '17792136',
'17792137', '17792134', '17797328', '17797329', '17792138']
elif self._first_edit_ < len(results):
dat_obj_start = date_parse(results[self._first_edit_])
else:
return -1
time_diff = dat_obj_end - dat_obj_start
return int(time_diff.seconds / 60) + abs(time_diff.days) * 24
__threshold_types = { 'edit_count_threshold' : EditCountThreshold }
# ==========================
# DEFINE METRIC AGGREGATORS
# ==========================
# Build "average" aggregator
ttt_avg_agg = weighted_rate
ttt_avg_agg = decorator_builder(TimeToThreshold.header())(ttt_avg_agg)
setattr(ttt_avg_agg, um.METRIC_AGG_METHOD_FLAG, True)
setattr(ttt_avg_agg, um.METRIC_AGG_METHOD_NAME, 'ttt_avg_agg')
setattr(ttt_avg_agg, um.METRIC_AGG_METHOD_HEAD, ['total_users',
'total_weight', 'average'])
setattr(ttt_avg_agg, um.METRIC_AGG_METHOD_KWARGS, {'val_idx' : 1})
if __name__ == "__main__":
for i in TimeToThreshold(threshold_type_class='edit_count_threshold',
first_edit=0, threshold_edit=1).process([13234584]): print i
dropped_users += 1
continue
if count < thread_args.n:
results.append((r[0],0))
else:
results.append((r[0],1))
if thread_args.log_progress: logging.info(
__name__ + '::Processed PID = %s. Dropped users = %s.' % (
os.getpid(), str(dropped_users)))
return results
# Build "rate" decorator
threshold_editors_agg = boolean_rate
threshold_editors_agg = decorator_builder(Threshold.header())(
threshold_editors_agg)
setattr(threshold_editors_agg, um.METRIC_AGG_METHOD_FLAG, True)
setattr(threshold_editors_agg, um.METRIC_AGG_METHOD_NAME,
'threshold_editors_agg')
setattr(threshold_editors_agg, um.METRIC_AGG_METHOD_HEAD, ['total_users',
'threshold_reached','rate'])
setattr(threshold_editors_agg, um.METRIC_AGG_METHOD_KWARGS, {'val_idx' : 1})
# testing
if __name__ == "__main__":
for r in Threshold(namespace=[0,4]).process([13234584, 156171],
num_threads=0, log_progress=True).__iter__(): print r