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Rename to performance_dashboard

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Fix totals to return totals for all time rather than for date range.
Added more test data
This commit is contained in:
Rebecca Law
2021-03-10 11:12:29 +00:00
parent b06850e611
commit 11d10d5293
13 changed files with 149 additions and 89 deletions
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48
tests/app/performance_platform/test_rest.py
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@@ -1,48 +0,0 @@
from datetime import date, datetime
from app.dao import fact_processing_time_dao
from app.models import FactProcessingTime
from tests.app.db import create_template, create_ft_notification_status
def test_performance_platform(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, 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_process_time()
results = admin_request.get(endpoint="performance_platform.get_performance_platform",
start_date='2021-03-01',
end_date='2021-03-01')
assert results['total_notifications'] == 15+20+3
assert results['email_notifications'] == 15
assert results['sms_notifications'] == 20
assert results['letter_notifications'] == 3
assert results['notifications_by_type'] == [{"date": '2021-03-01', "emails": 15, "sms": 20, "letters": 3}]
assert results['processing_time'] == [({"date": "2021-03-01", "percentage_under_10_seconds": 97.1})]
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"]
def create_process_time():
data = FactProcessingTime(
bst_date=datetime(2021, 3, 1).date(),
messages_total=35,
messages_within_10_secs=34
)
fact_processing_time_dao.insert_update_processing_time(data)