Files
notifications-api/app/performance_platform/processing_time.py
Leo Hemsted 3739d9055d clean up usage of dates/datetimes in performance platform tasks
* call variables unambiguous things like `start_time` or `bst_date` to
  reduce risk of passing in the wrong thing
* simplify the count_dict object - remove nested dict and start_date
  fields as superfluous
* use static datetime objects in tests rather than calculating them
  each time
2019-04-02 11:49:20 +01:00

41 lines
1.4 KiB
Python

from datetime import datetime
from flask import current_app
from app.utils import get_midnight_for_day_before, get_london_midnight_in_utc
from app.dao.notifications_dao import dao_get_total_notifications_sent_per_day_for_performance_platform
from app import performance_platform_client
def send_processing_time_to_performance_platform():
today = datetime.utcnow()
start_time = get_midnight_for_day_before(today)
end_time = get_london_midnight_in_utc(today)
send_processing_time_for_start_and_end(start_time, end_time)
def send_processing_time_for_start_and_end(start_time, end_time):
result = dao_get_total_notifications_sent_per_day_for_performance_platform(start_time, end_time)
current_app.logger.info(
'Sending processing-time to performance platform for date {}. Total: {}, under 10 secs {}'.format(
start_time, result.messages_total, result.messages_within_10_secs
)
)
send_processing_time_data(start_time, 'messages-total', result.messages_total)
send_processing_time_data(start_time, 'messages-within-10-secs', result.messages_within_10_secs)
def send_processing_time_data(start_time, status, count):
payload = performance_platform_client.format_payload(
dataset='processing-time',
start_time=start_time,
group_name='status',
group_value=status,
count=count
)
performance_platform_client.send_stats_to_performance_platform(payload)