def check_project_alerts(project_id, **kwargs):
"""
Given 'when' and 'count', which should signify recent times we compare it to
historical data for this project and if over a given threshold, create an
alert.
"""
from sentry.app import tsdb
from sentry.constants import DEFAULT_ALERT_PROJECT_THRESHOLD
from sentry.models import ProjectOption, Alert
threshold, min_events = ProjectOption.objects.get_value(
project_id, 'alert:threshold', DEFAULT_ALERT_PROJECT_THRESHOLD)
if not threshold and min_events:
return
end = datetime.now().replace(tzinfo=utc) - timedelta(seconds=10)
start = end - timedelta(minutes=5)
results = [
v for _, v in tsdb.get_range(
tsdb.models.project,
[project_id],
start=start,
end=end,
rollup=10,
)[project_id]
]
half_intervals = int(len(results) / 2)
previous_data, current_data = results[:half_intervals], results[
half_intervals:]
current_avg = sum(current_data) / len(current_data)
# if there first few points within previous data are empty, assume that the
# project hasn't been active long enough for rates to be valid
if not any(previous_data[:3]):
return
if min_events > current_avg:
return
mean = math.mean(previous_data)
dev = math.mad(previous_data)
previous_avg = (mean + dev * 2)
pct_increase = (current_avg / previous_avg * 100) - 100
logger.info('Rate of events for project %d changed from %.2f to %2.f',
project_id, previous_avg, current_avg)
if pct_increase > threshold and current_avg > previous_avg:
Alert.maybe_alert(
project_id=project_id,
message='Rate of events increased from %.2f to %.2f' %
(previous_avg, current_avg),
)
def check_project_alerts(project_id, **kwargs):
"""
Given 'when' and 'count', which should signify recent times we compare it to
historical data for this project and if over a given threshold, create an
alert.
"""
from sentry.app import tsdb
from sentry.constants import DEFAULT_ALERT_PROJECT_THRESHOLD
from sentry.models import ProjectOption, Alert
threshold, min_events = ProjectOption.objects.get_value(
project_id, 'alert:threshold', DEFAULT_ALERT_PROJECT_THRESHOLD)
if not threshold and min_events:
return
end = datetime.now().replace(tzinfo=utc) - timedelta(seconds=10)
start = end - timedelta(minutes=5)
results = [v for _, v in tsdb.get_range(
tsdb.models.project,
[project_id],
start=start,
end=end,
rollup=10,
)[project_id]]
half_intervals = int(len(results) / 2)
previous_data, current_data = results[:half_intervals], results[half_intervals:]
if not current_data:
return
current_avg = sum(current_data) / len(current_data)
# if there first few points within previous data are empty, assume that the
# project hasn't been active long enough for rates to be valid
if not any(previous_data[:3]):
return
if min_events > current_avg:
return
mean = math.mean(previous_data)
dev = math.mad(previous_data)
previous_avg = (mean + dev * 2)
pct_increase = (current_avg / previous_avg * 100) - 100
logger.info('Rate of events for project %d changed from %.2f to %2.f',
project_id, previous_avg, current_avg)
if pct_increase > threshold and current_avg > previous_avg:
Alert.maybe_alert(
project_id=project_id,
message='Rate of events increased from %.2f to %.2f' % (previous_avg, current_avg),
)
def check_project_alerts(project_id, when, count, **kwargs):
"""
Given 'when' and 'count', which should signify recent times we compare it to historical data for this project
and if over a given threshold, create an alert.
"""
from sentry.conf import settings
from sentry.models import ProjectCountByMinute, ProjectOption, Alert
# TODO: make this use the cache
try:
threshold, min_events = ProjectOption.objects.get(
project=project_id,
key='alert:threshold',
).value
except ProjectOption.DoesNotExist:
threshold, min_events = settings.DEFAULT_ALERT_PROJECT_THRESHOLD
if not threshold and min_events:
return
if min_events > count:
return
# number of 15 minute intervals to capture
intervals = 8
max_date = when - timedelta(minutes=MINUTE_NORMALIZATION)
min_date = max_date - timedelta(minutes=(intervals * MINUTE_NORMALIZATION))
# get historical data
data = list(
ProjectCountByMinute.objects.filter(
project=project_id,
date__lte=max_date,
date__gt=min_date,
).values_list('times_seen', flat=True))
# Bail if we don't have enough data points
if len(data) != intervals:
return
mean = math.mean(data)
dev = math.mad(data)
previous = (mean + dev * 2) / MINUTE_NORMALIZATION
pct_increase = count / previous * 100
if pct_increase > threshold:
Alert.maybe_alert(
project_id=project_id,
message='Rate of events per minute increased from %d to %d (+%d%%)'
% (previous, count, pct_increase),
)
def check_project_alerts(project_id, when, count, **kwargs):
"""
Given 'when' and 'count', which should signify recent times we compare it to historical data for this project
and if over a given threshold, create an alert.
"""
from sentry.conf import settings
from sentry.models import ProjectCountByMinute, ProjectOption, Alert
# TODO: make this use the cache
try:
threshold, min_events = ProjectOption.objects.get(
project=project_id,
key='alert:threshold',
).value
except ProjectOption.DoesNotExist:
threshold, min_events = settings.DEFAULT_ALERT_PROJECT_THRESHOLD
if not threshold and min_events:
return
if min_events > count:
return
# number of 15 minute intervals to capture
intervals = 8
max_date = when - timedelta(minutes=MINUTE_NORMALIZATION)
min_date = max_date - timedelta(minutes=(intervals * MINUTE_NORMALIZATION))
# get historical data
data = list(ProjectCountByMinute.objects.filter(
project=project_id,
date__lte=max_date,
date__gt=min_date,
).values_list('times_seen', flat=True))
# Bail if we don't have enough data points
if len(data) != intervals:
return
mean = math.mean(data)
dev = math.mad(data)
previous = (mean + dev * 2) / MINUTE_NORMALIZATION
pct_increase = count / previous * 100
if pct_increase > threshold:
Alert.maybe_alert(
project_id=project_id,
message='Rate of events per minute increased from %d to %d (+%d%%)' % (previous, count, pct_increase),
)