Files
notifications-api/tests/app/performance_dashboard/test_rest.py
David McDonald 648490bf62 Report processing stats as floats rather than 1dp
We are starting to see lots of 100.0%s in the current table
and we think this looks suspiciously too good so think it is
beneficial to change it to be 2dp such that we get a few more
non 100.0% values.

For the admin app to be able to show things to 2dp, we need to
give at least 2dp of accuracy otherwise we are losing 1dp of
granularity.

The approach is to just give all the granularity available by
returning the exact result from the DB and then the admin can
choose how many dps to use.
2021-11-25 17:14:34 +00:00

83 lines
4.6 KiB
Python

from datetime import date
from tests.app.db import (
create_ft_notification_status,
create_process_time,
create_template,
)
def test_performance_dashboard(sample_service, admin_request):
template_sms = create_template(service=sample_service, template_type='sms', template_name='a')
template_email = create_template(service=sample_service, template_type='email', template_name='b')
template_letter = create_template(service=sample_service, template_type='letter', template_name='c')
create_ft_notification_status(bst_date=date(2021, 2, 28),
service=template_email.service,
template=template_email,
count=10)
create_ft_notification_status(bst_date=date(2021, 2, 28),
service=template_sms.service,
template=template_sms,
count=5)
create_ft_notification_status(bst_date=date(2021, 2, 28),
service=template_letter.service,
template=template_letter,
count=2)
create_ft_notification_status(bst_date=date(2021, 3, 1),
service=template_email.service,
template=template_email,
count=15)
create_ft_notification_status(bst_date=date(2021, 3, 1),
service=template_sms.service,
template=template_sms,
count=20)
create_ft_notification_status(bst_date=date(2021, 3, 1),
service=template_letter.service,
template=template_letter,
count=3)
create_ft_notification_status(bst_date=date(2021, 3, 2),
service=template_email.service,
template=template_email,
count=25)
create_ft_notification_status(bst_date=date(2021, 3, 2),
service=template_sms.service,
template=template_sms,
count=30)
create_ft_notification_status(bst_date=date(2021, 3, 2),
service=template_letter.service,
template=template_letter,
count=10)
create_ft_notification_status(bst_date=date(2021, 3, 3),
service=template_email.service,
template=template_email,
count=45)
create_ft_notification_status(bst_date=date(2021, 3, 3),
service=template_sms.service,
template=template_sms,
count=35)
create_ft_notification_status(bst_date=date(2021, 3, 3),
service=template_letter.service,
template=template_letter,
count=15)
create_process_time(bst_date='2021-02-28', messages_total=15, messages_within_10_secs=14)
create_process_time(bst_date='2021-03-01', messages_total=35, messages_within_10_secs=34)
create_process_time(bst_date='2021-03-02', messages_total=15, messages_within_10_secs=12)
create_process_time(bst_date='2021-03-03', messages_total=15, messages_within_10_secs=14)
results = admin_request.get(endpoint="performance_dashboard.get_performance_dashboard",
start_date='2021-03-01',
end_date='2021-03-02')
assert results['total_notifications'] == 10+5+2+15+20+3+25+30+10+45+35+15
assert results['email_notifications'] == 10+15+25+45
assert results['sms_notifications'] == 5+20+30+35
assert results['letter_notifications'] == 2+3+10+15
assert results['notifications_by_type'] == [{"date": '2021-03-01', "emails": 15, "sms": 20, "letters": 3},
{"date": '2021-03-02', "emails": 25, "sms": 30, "letters": 10}]
assert results['processing_time'] == [{"date": "2021-03-01", "percentage_under_10_seconds": 97.1428571428571},
{"date": "2021-03-02", "percentage_under_10_seconds": 80.0}]
assert results["live_service_count"] == 1
assert results["services_using_notify"][0]["service_name"] == sample_service.name
assert not results["services_using_notify"][0]["organisation_name"]