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https://github.com/GSA/notifications-api.git
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Merge pull request #1739 from alphagov/backfill-performance-totals
Add command to backfill Performance Platform totals
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@@ -213,20 +213,21 @@ def timeout_notifications():
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@statsd(namespace="tasks")
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def send_daily_performance_platform_stats():
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if performance_platform_client.active:
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send_total_sent_notifications_to_performance_platform()
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yesterday = datetime.utcnow() - timedelta(days=1)
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send_total_sent_notifications_to_performance_platform(yesterday)
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processing_time.send_processing_time_to_performance_platform()
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def send_total_sent_notifications_to_performance_platform():
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count_dict = total_sent_notifications.get_total_sent_notifications_yesterday()
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def send_total_sent_notifications_to_performance_platform(day):
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count_dict = total_sent_notifications.get_total_sent_notifications_for_day(day)
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email_sent_count = count_dict.get('email').get('count')
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sms_sent_count = count_dict.get('sms').get('count')
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letter_sent_count = count_dict.get('letter').get('count')
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start_date = count_dict.get('start_date')
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current_app.logger.info(
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"Attempting to update performance platform for date {} with email count {} and sms count {}"
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.format(start_date, email_sent_count, sms_sent_count)
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"Attempting to update Performance Platform for {} with {} emails, {} text messages and {} letters"
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.format(start_date, email_sent_count, sms_sent_count, letter_sent_count)
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)
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total_sent_notifications.send_total_notifications_sent_for_day_stats(
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@@ -22,7 +22,8 @@ from app.dao.services_dao import (
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from app.dao.provider_rates_dao import create_provider_rates as dao_create_provider_rates
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from app.dao.users_dao import (delete_model_user, delete_user_verify_codes)
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from app.utils import get_midnight_for_day_before, get_london_midnight_in_utc
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from app.performance_platform.processing_time import send_processing_time_for_start_and_end
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from app.performance_platform.processing_time import (send_processing_time_for_start_and_end)
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from app.celery.scheduled_tasks import send_total_sent_notifications_to_performance_platform
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@click.group(name='command', help='Additional commands')
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@@ -209,12 +210,35 @@ def populate_monthly_billing(year):
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populate(service_id, year, i)
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@notify_command()
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@click.option('-s', '--start_date', required=True, help="start date inclusive", type=click_dt(format='%Y-%m-%d'))
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@click.option('-e', '--end_date', required=True, help="end date inclusive", type=click_dt(format='%Y-%m-%d'))
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def backfill_performance_platform_totals(start_date, end_date):
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"""
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Send historical total messages sent to Performance Platform.
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"""
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delta = end_date - start_date
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print('Sending total messages sent for all days between {} and {}'.format(start_date, end_date))
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for i in range(delta.days + 1):
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process_date = start_date + timedelta(days=i)
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print('Sending total messages sent for {}'.format(
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process_date.isoformat()
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))
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send_total_sent_notifications_to_performance_platform(process_date)
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@notify_command()
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@click.option('-s', '--start_date', required=True, help="start date inclusive", type=click_dt(format='%Y-%m-%d'))
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@click.option('-e', '--end_date', required=True, help="end date inclusive", type=click_dt(format='%Y-%m-%d'))
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def backfill_processing_time(start_date, end_date):
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"""
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Send historical performance platform stats.
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Send historical processing time to Performance Platform.
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"""
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delta = end_date - start_date
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@@ -1,11 +1,8 @@
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from datetime import datetime
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from datetime import timedelta
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from app import performance_platform_client
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from app.dao.notifications_dao import get_total_sent_notifications_in_date_range
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from app.utils import (
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get_london_midnight_in_utc,
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get_midnight_for_day_before
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)
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from app.utils import get_london_midnight_in_utc
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def send_total_notifications_sent_for_day_stats(date, notification_type, count):
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@@ -20,10 +17,9 @@ def send_total_notifications_sent_for_day_stats(date, notification_type, count):
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performance_platform_client.send_stats_to_performance_platform(payload)
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def get_total_sent_notifications_yesterday():
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today = datetime.utcnow()
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start_date = get_midnight_for_day_before(today)
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end_date = get_london_midnight_in_utc(today)
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def get_total_sent_notifications_for_day(day):
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start_date = get_london_midnight_in_utc(day)
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end_date = start_date + timedelta(days=1)
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email_count = get_total_sent_notifications_in_date_range(start_date, end_date, 'email')
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sms_count = get_total_sent_notifications_in_date_range(start_date, end_date, 'sms')
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@@ -335,7 +335,7 @@ def test_send_total_sent_notifications_to_performance_platform_calls_with_correc
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new_callable=PropertyMock
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) as mock_active:
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mock_active.return_value = True
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send_total_sent_notifications_to_performance_platform()
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send_total_sent_notifications_to_performance_platform(yesterday)
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perf_mock.assert_has_calls([
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call(get_london_midnight_in_utc(yesterday), 'sms', 2),
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@@ -6,7 +6,7 @@ from freezegun import freeze_time
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from app.utils import get_midnight_for_day_before
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from app.performance_platform.total_sent_notifications import (
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send_total_notifications_sent_for_day_stats,
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get_total_sent_notifications_yesterday
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get_total_sent_notifications_for_day
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)
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from tests.app.conftest import (
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@@ -55,6 +55,7 @@ def test_get_total_sent_notifications_yesterday_returns_expected_totals_dict(
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# Create some notifications for the day before
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yesterday = datetime(2016, 1, 10, 15, 30, 0, 0)
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ereyesterday = datetime(2016, 1, 9, 15, 30, 0, 0)
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with freeze_time(yesterday):
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notification_history(notification_type='letter')
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notification_history(notification_type='sms')
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@@ -63,7 +64,7 @@ def test_get_total_sent_notifications_yesterday_returns_expected_totals_dict(
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notification_history(notification_type='email')
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notification_history(notification_type='email')
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total_count_dict = get_total_sent_notifications_yesterday()
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total_count_dict = get_total_sent_notifications_for_day(yesterday)
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assert total_count_dict == {
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"start_date": get_midnight_for_day_before(datetime.utcnow()),
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@@ -77,3 +78,12 @@ def test_get_total_sent_notifications_yesterday_returns_expected_totals_dict(
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"count": 1
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}
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}
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another_day = get_total_sent_notifications_for_day(ereyesterday)
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assert another_day == {
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'email': {'count': 0},
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'letter': {'count': 0},
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'sms': {'count': 0},
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'start_date': datetime(2016, 1, 9, 0, 0),
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}
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@@ -1,6 +1,6 @@
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from datetime import datetime
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from app.commands import backfill_processing_time
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from app.commands import backfill_performance_platform_totals, backfill_processing_time
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def test_backfill_processing_time_works_for_correct_dates(mocker, notify_api):
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@@ -14,3 +14,16 @@ def test_backfill_processing_time_works_for_correct_dates(mocker, notify_api):
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send_mock.assert_any_call(datetime(2017, 7, 31, 23, 0), datetime(2017, 8, 1, 23, 0))
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send_mock.assert_any_call(datetime(2017, 8, 1, 23, 0), datetime(2017, 8, 2, 23, 0))
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send_mock.assert_any_call(datetime(2017, 8, 2, 23, 0), datetime(2017, 8, 3, 23, 0))
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def test_backfill_totals_works_for_correct_dates(mocker, notify_api):
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send_mock = mocker.patch('app.commands.send_total_sent_notifications_to_performance_platform')
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# backfill_processing_time is a click.Command object - if you try invoking the callback on its own, it
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# throws a `RuntimeError: There is no active click context.` - so get at the original function using __wrapped__
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backfill_performance_platform_totals.callback.__wrapped__(datetime(2017, 8, 1), datetime(2017, 8, 3))
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assert send_mock.call_count == 3
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send_mock.assert_any_call(datetime(2017, 8, 1))
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send_mock.assert_any_call(datetime(2017, 8, 2))
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send_mock.assert_any_call(datetime(2017, 8, 3))
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