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Merge pull request #788 from alphagov/fix-billable-units-query
Fix performance of billable units query
This commit is contained in:
@@ -1,14 +1,13 @@
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import pytz
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from datetime import (
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datetime,
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timedelta,
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date
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)
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from itertools import groupby
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date)
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from flask import current_app
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from werkzeug.datastructures import MultiDict
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from sqlalchemy import (desc, func, or_, and_, asc)
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from sqlalchemy import (desc, func, or_, and_, asc, extract)
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from sqlalchemy.orm import joinedload
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from app import db, create_uuid
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@@ -226,24 +225,31 @@ def get_notifications_for_job(service_id, job_id, filter_dict=None, page=1, page
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def get_notification_billable_unit_count_per_month(service_id, year):
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start, end = get_financial_year(year)
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"""
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The query needs to sum the billable_units per month, but this needs to be the month in BST (British Standard Time).
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The database stores all timestamps as UTC without the timezone.
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- First set the timezone on created_at to UTC
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- then convert the timezone to BST (or Europe/London)
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- lastly truncate the datetime to month to group the sum of the billable_units
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"""
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month = func.date_trunc("month",
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func.timezone("Europe/London", func.timezone("UTC",
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NotificationHistory.created_at)))
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notifications = db.session.query(
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NotificationHistory.created_at,
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NotificationHistory.billable_units
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).order_by(
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NotificationHistory.created_at
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month,
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func.sum(NotificationHistory.billable_units)
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).filter(
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NotificationHistory.billable_units != 0,
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NotificationHistory.service_id == service_id,
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NotificationHistory.created_at >= start,
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NotificationHistory.created_at < end
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)
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).group_by(
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month
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).order_by(
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month
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).all()
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return [
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(month, sum(count for _, count in row))
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for month, row in groupby(
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notifications, lambda row: get_bst_month(row[0])
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)
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]
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return [(datetime.strftime(x[0], "%B"), x[1]) for x in notifications]
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@statsd(namespace="dao")
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@@ -394,13 +400,11 @@ def get_financial_year(year):
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def get_april_fools(year):
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return datetime(
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year, 4, 1, 0, 0, 0, 0,
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pytz.timezone("Europe/London")
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).astimezone(pytz.utc)
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def get_bst_month(datetime):
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return pytz.utc.localize(datetime).astimezone(
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pytz.timezone("Europe/London")
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).strftime('%B')
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"""
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This function converts the start of the financial year April 1, 00:00 as BST (British Standard Time) to UTC,
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the tzinfo is lastly removed from the datetime becasue the database stores the timestamps without timezone.
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:param year: the year to calculate the April 1, 00:00 BST for
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:return: the datetime of April 1 for the given year, for example 2016 = 2016-03-31 23:00:00
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"""
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return pytz.timezone('Europe/London').localize(datetime(year, 4, 1, 0, 0, 0)).astimezone(pytz.UTC).replace(
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tzinfo=None)
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@@ -39,7 +39,8 @@ from app.dao.notifications_dao import (
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update_notification_status_by_reference,
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dao_delete_notifications_and_history_by_id,
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dao_timeout_notifications,
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get_financial_year)
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get_financial_year,
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get_april_fools)
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from app.dao.services_dao import dao_update_service
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@@ -150,11 +151,11 @@ def test_should_by_able_to_get_template_count_from_notifications_history(notify_
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def test_template_history_should_ignore_test_keys(
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notify_db,
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notify_db_session,
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sample_team_api_key,
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sample_test_api_key,
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sample_api_key
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notify_db,
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notify_db_session,
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sample_team_api_key,
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sample_test_api_key,
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sample_api_key
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):
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sms = sample_template(notify_db, notify_db_session)
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@@ -764,28 +765,31 @@ def test_get_all_notifications_for_job_by_status(notify_db, notify_db_session, s
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def test_get_notification_billable_unit_count_per_month(notify_db, notify_db_session, sample_service):
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for year, month, day in (
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(2017, 1, 15), # ↓ 2016 financial year
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(2016, 8, 1),
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(2016, 7, 15),
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(2016, 4, 15),
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(2016, 4, 15),
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(2016, 4, 1), # ↓ 2015 financial year
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(2016, 3, 31),
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(2016, 1, 15)
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for year, month, day, hour, minute, second in (
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(2017, 1, 15, 23, 59, 59), # ↓ 2016 financial year
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(2016, 9, 30, 23, 59, 59), # counts in October with BST conversion
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(2016, 6, 30, 23, 50, 20),
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(2016, 7, 15, 9, 20, 25),
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(2016, 4, 1, 1, 1, 00),
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(2016, 4, 1, 0, 0, 00),
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(2016, 3, 31, 23, 00, 1), # counts in April with BST conversion
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(2015, 4, 1, 13, 8, 59), # ↓ 2015 financial year
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(2015, 11, 20, 22, 40, 45),
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(2016, 1, 31, 23, 30, 40) # counts in January no BST conversion in winter
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):
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sample_notification(
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notify_db, notify_db_session, service=sample_service,
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created_at=datetime(
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year, month, day, 0, 0, 0, 0
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) - timedelta(hours=1, seconds=1) # one second before midnight
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year, month, day, hour, minute, second, 0
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)
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)
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for financial_year, months in (
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(2017, []),
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(2016, [('April', 2), ('July', 2), ('January', 1)]),
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(2015, [('January', 1), ('March', 2)]),
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(2014, [])
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(2017, []),
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(2016, [('April', 3), ('July', 2), ('October', 1), ('January', 1)]),
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(2015, [('April', 1), ('November', 1), ('January', 1)]),
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(2014, [])
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):
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assert get_notification_billable_unit_count_per_month(
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sample_service.id, financial_year
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@@ -1294,7 +1298,11 @@ def test_should_exclude_test_key_notifications_by_default(
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def test_get_financial_year():
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start, end = get_financial_year(2000)
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assert start.tzinfo == pytz.utc
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assert start.isoformat() == '2000-04-01T00:01:00+00:00'
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assert end.tzinfo == pytz.utc
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assert end.isoformat() == '2001-04-01T00:01:00+00:00'
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assert str(start) == '2000-03-31 23:00:00'
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assert str(end) == '2001-03-31 23:00:00'
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def test_get_april_fools():
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april_fools = get_april_fools(2016)
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assert str(april_fools) == '2016-03-31 23:00:00'
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assert april_fools.tzinfo is None
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