Send zendesk ticket when services found with high failure rates

This commit is contained in:
Pea Tyczynska
2019-11-29 21:24:17 +00:00
parent b6320182be
commit d72ab4f4a6
7 changed files with 171 additions and 4 deletions

View File

@@ -45,6 +45,8 @@ from app.models import (
from app.notifications.process_notifications import send_notification_to_queue
from app.v2.errors import JobIncompleteError
from app.service.utils import get_services_with_high_failure_rates
@notify_celery.task(name="run-scheduled-jobs")
@statsd(namespace="tasks")
@@ -253,3 +255,28 @@ def check_for_missing_rows_in_completed_jobs():
current_app.logger.info(
"Processing missing row: {} for job: {}".format(row_to_process.missing_row, job.id))
process_row(row, template, job, job.service, sender_id=sender_id)
@notify_celery.task(name='check-for-services-with-high-failure-rates-or-sending-to-tv-numbers')
@statsd(namespace="tasks")
def check_for_services_with_high_failure_rates_or_sending_to_tv_numbers():
services_with_failures = get_services_with_high_failure_rates()
# services_sending_to_tv_numbers = dao_find_services_sending_to_tv_numbers(number=100)
if services_with_failures:
message = "{} service(s) have had high permanent-failure rates for sms messages in last 24 hours: ".format(
len(services_with_failures)
)
for service in services_with_failures:
message += "service id: {} failure rate: {}, ".format(service["id"], service["permanent_failure_rate"])
current_app.logger.exception(message)
if current_app.config['NOTIFY_ENVIRONMENT'] in ['live', 'production', 'test']:
zendesk_client.create_ticket(
subject="[{}] High failure rates for sms spotted for services".format(
current_app.config['NOTIFY_ENVIRONMENT']
),
message=message,
ticket_type=zendesk_client.TYPE_INCIDENT
)

View File

@@ -276,6 +276,11 @@ class Config(object):
'schedule': crontab(day_of_week='mon-fri', hour='9,15', minute=0),
'options': {'queue': QueueNames.PERIODIC}
},
'check-for-services-with-high-failure-rates-or-sending-to-tv-numbers': {
'task': 'check-for-services-with-high-failure-rates-or-sending-to-tv-numbers',
'schedule': crontab(day_of_week='mon-fri', hour=10, minute=30),
'options': {'queue': QueueNames.PERIODIC}
},
'raise-alert-if-letter-notifications-still-sending': {
'task': 'raise-alert-if-letter-notifications-still-sending',
'schedule': crontab(hour=16, minute=30),

View File

@@ -21,6 +21,19 @@ def format_statistics(statistics):
return counts
def get_rate_of_permanent_failures_for_service(statistics, threshold=100):
counts = {"permanent_failure": 0, "all_other_statuses": 0}
for row in statistics:
if row.notification_type == 'sms':
_count_if_status_is_permanent_failure_from_row(counts, row)
if counts['permanent_failure'] + counts['all_other_statuses'] >= threshold:
rate = counts['permanent_failure'] / (counts['permanent_failure'] + counts['all_other_statuses'])
else:
rate = 0
return rate
def format_admin_stats(statistics):
counts = create_stats_dict()
@@ -94,6 +107,13 @@ def _update_statuses_from_row(update_dict, row):
update_dict['failed'] += row.count
def _count_if_status_is_permanent_failure_from_row(update_dict, row):
if row.status == 'permanent-failure':
update_dict['permanent_failure'] += row.count
else:
update_dict['all_other_statuses'] += row.count
def create_empty_monthly_notification_status_stats_dict(year):
utc_month_starts = get_months_for_financial_year(year)
# nested dicts - data[month][template type][status] = count

View File

@@ -7,6 +7,11 @@ from app.models import (
MOBILE_TYPE, EMAIL_TYPE,
KEY_TYPE_TEST, KEY_TYPE_TEAM, KEY_TYPE_NORMAL)
from app.service import statistics
from datetime import datetime, timedelta
from app.dao.fact_notification_status_dao import fetch_stats_for_all_services_by_date_range
def get_recipients_from_request(request_json, key, type):
return [(type, recipient) for recipient in request_json.get(key)]
@@ -52,3 +57,26 @@ def service_allowed_to_send_to(recipient, service, key_type, allow_whitelisted_r
whitelist_members
)
)
def get_services_with_high_failure_rates(rate=0.25, threshold=100):
start_date = (datetime.utcnow() - timedelta(days=1)).date()
end_date = datetime.utcnow().date()
stats = fetch_stats_for_all_services_by_date_range(
start_date=start_date,
end_date=end_date,
include_from_test_key=False,
)
results = []
for service_id, rows in itertools.groupby(stats, lambda x: x.service_id):
rows = list(rows)
if not rows[0].restricted and not rows[0].research_mode and rows[0].active:
permanent_failure_rate = statistics.get_rate_of_permanent_failures_for_service(rows, threshold=threshold)
if permanent_failure_rate >= rate:
results.append({
'id': str(rows[0].service_id),
'name': rows[0].name,
'permanent_failure_rate': permanent_failure_rate
})
return results