mirror of
https://github.com/GSA/notifications-api.git
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a query for notifications was filtering on FtNotificationStatus - we aren't joining to that table in the query, so sqlalchemy added a cross join between ft_notification_status (3.7k rows) and Notifications (3.9m rows), resulting in a 1.3 trillion row materialised table. This query took 17 hours and pending. Also, remove orders from querys other than the outer one, since we're grouping anyway.
294 lines
11 KiB
Python
294 lines
11 KiB
Python
from datetime import datetime, timedelta, time
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from flask import current_app
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from notifications_utils.timezones import convert_bst_to_utc
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from sqlalchemy import func
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from sqlalchemy.dialects.postgresql import insert
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from sqlalchemy.sql.expression import literal
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from sqlalchemy.types import DateTime, Integer
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from app import db
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from app.models import Notification, NotificationHistory, FactNotificationStatus, KEY_TYPE_TEST, Service
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from app.utils import get_london_midnight_in_utc, midnight_n_days_ago
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def fetch_notification_status_for_day(process_day, service_id=None):
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start_date = convert_bst_to_utc(datetime.combine(process_day, time.min))
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end_date = convert_bst_to_utc(datetime.combine(process_day + timedelta(days=1), time.min))
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# use notification_history if process day is older than 7 days
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# this is useful if we need to rebuild the ft_billing table for a date older than 7 days ago.
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current_app.logger.info("Fetch ft_notification_status for {} to {}".format(start_date, end_date))
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table = Notification
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if start_date < datetime.utcnow() - timedelta(days=7):
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table = NotificationHistory
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transit_data = db.session.query(
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table.template_id,
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table.service_id,
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func.coalesce(table.job_id, '00000000-0000-0000-0000-000000000000').label('job_id'),
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table.notification_type,
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table.key_type,
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table.status,
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func.count().label('notification_count')
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).filter(
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table.created_at >= start_date,
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table.created_at < end_date
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).group_by(
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table.template_id,
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table.service_id,
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'job_id',
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table.notification_type,
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table.key_type,
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table.status
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)
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if service_id:
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transit_data = transit_data.filter(table.service_id == service_id)
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return transit_data.all()
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def update_fact_notification_status(data, process_day):
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table = FactNotificationStatus.__table__
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FactNotificationStatus.query.filter(
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FactNotificationStatus.bst_date == process_day.date()
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).delete()
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for row in data:
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stmt = insert(table).values(
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bst_date=process_day.date(),
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template_id=row.template_id,
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service_id=row.service_id,
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job_id=row.job_id,
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notification_type=row.notification_type,
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key_type=row.key_type,
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notification_status=row.status,
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notification_count=row.notification_count,
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)
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db.session.connection().execute(stmt)
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db.session.commit()
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def fetch_notification_status_for_service_by_month(start_date, end_date, service_id):
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return db.session.query(
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func.date_trunc('month', FactNotificationStatus.bst_date).label('month'),
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FactNotificationStatus.notification_type,
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FactNotificationStatus.notification_status,
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func.sum(FactNotificationStatus.notification_count).label('count')
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).filter(
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FactNotificationStatus.service_id == service_id,
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FactNotificationStatus.bst_date >= start_date,
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FactNotificationStatus.bst_date < end_date,
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FactNotificationStatus.key_type != KEY_TYPE_TEST
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).group_by(
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func.date_trunc('month', FactNotificationStatus.bst_date).label('month'),
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FactNotificationStatus.notification_type,
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FactNotificationStatus.notification_status
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).all()
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def fetch_notification_status_for_service_for_day(bst_day, service_id):
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return db.session.query(
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# return current month as a datetime so the data has the same shape as the ft_notification_status query
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literal(bst_day.replace(day=1), type_=DateTime).label('month'),
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Notification.notification_type,
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Notification.status.label('notification_status'),
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func.count().label('count')
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).filter(
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Notification.created_at >= get_london_midnight_in_utc(bst_day),
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Notification.created_at < get_london_midnight_in_utc(bst_day + timedelta(days=1)),
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Notification.service_id == service_id,
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Notification.key_type != KEY_TYPE_TEST
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).group_by(
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Notification.notification_type,
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Notification.status
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).all()
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def fetch_notification_status_for_service_for_today_and_7_previous_days(service_id, limit_days=7):
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start_date = midnight_n_days_ago(limit_days)
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now = datetime.utcnow()
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stats_for_7_days = db.session.query(
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FactNotificationStatus.notification_type.label('notification_type'),
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FactNotificationStatus.notification_status.label('status'),
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FactNotificationStatus.notification_count.label('count')
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).filter(
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FactNotificationStatus.service_id == service_id,
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FactNotificationStatus.bst_date >= start_date,
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FactNotificationStatus.key_type != KEY_TYPE_TEST
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)
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stats_for_today = db.session.query(
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Notification.notification_type.cast(db.Text),
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Notification.status,
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func.count().label('count')
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).filter(
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Notification.created_at >= get_london_midnight_in_utc(now),
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Notification.service_id == service_id,
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Notification.key_type != KEY_TYPE_TEST
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).group_by(
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Notification.notification_type,
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Notification.status
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)
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all_stats_table = stats_for_7_days.union_all(stats_for_today).subquery()
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return db.session.query(
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all_stats_table.c.notification_type,
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all_stats_table.c.status,
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func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
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).group_by(
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all_stats_table.c.notification_type,
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all_stats_table.c.status,
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).all()
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def fetch_notification_status_totals_for_all_services(start_date, end_date):
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stats = db.session.query(
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FactNotificationStatus.notification_type.label('notification_type'),
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FactNotificationStatus.notification_status.label('status'),
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FactNotificationStatus.key_type.label('key_type'),
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func.sum(FactNotificationStatus.notification_count).label('count')
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).filter(
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FactNotificationStatus.bst_date >= start_date,
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FactNotificationStatus.bst_date <= end_date
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).group_by(
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FactNotificationStatus.notification_type,
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FactNotificationStatus.notification_status,
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FactNotificationStatus.key_type,
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)
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today = get_london_midnight_in_utc(datetime.utcnow())
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if start_date <= today.date() <= end_date:
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stats_for_today = db.session.query(
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Notification.notification_type.cast(db.Text).label('notification_type'),
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Notification.status,
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Notification.key_type,
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func.count().label('count')
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).filter(
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Notification.created_at >= today
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).group_by(
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Notification.notification_type.cast(db.Text),
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Notification.status,
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Notification.key_type,
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)
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all_stats_table = stats.union_all(stats_for_today).subquery()
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query = db.session.query(
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all_stats_table.c.notification_type,
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all_stats_table.c.status,
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all_stats_table.c.key_type,
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func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
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).group_by(
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all_stats_table.c.notification_type,
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all_stats_table.c.status,
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all_stats_table.c.key_type,
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).order_by(
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all_stats_table.c.notification_type
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)
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else:
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query = stats.order_by(
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FactNotificationStatus.notification_type
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)
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return query.all()
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def fetch_notification_statuses_for_job(job_id):
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return db.session.query(
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FactNotificationStatus.notification_status.label('status'),
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func.sum(FactNotificationStatus.notification_count).label('count'),
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).filter(
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FactNotificationStatus.job_id == job_id,
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).group_by(
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FactNotificationStatus.notification_status
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).all()
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def fetch_stats_for_all_services_by_date_range(start_date, end_date, include_from_test_key=True):
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stats = db.session.query(
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FactNotificationStatus.service_id.label('service_id'),
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Service.name.label('name'),
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Service.restricted.label('restricted'),
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Service.research_mode.label('research_mode'),
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Service.active.label('active'),
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Service.created_at.label('created_at'),
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FactNotificationStatus.notification_type.label('notification_type'),
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FactNotificationStatus.notification_status.label('status'),
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func.sum(FactNotificationStatus.notification_count).label('count')
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).filter(
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FactNotificationStatus.bst_date >= start_date,
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FactNotificationStatus.bst_date <= end_date,
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FactNotificationStatus.service_id == Service.id,
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).group_by(
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FactNotificationStatus.service_id.label('service_id'),
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Service.name,
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Service.restricted,
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Service.research_mode,
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Service.active,
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Service.created_at,
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FactNotificationStatus.notification_type,
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FactNotificationStatus.notification_status,
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).order_by(
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FactNotificationStatus.service_id,
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FactNotificationStatus.notification_type
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)
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if not include_from_test_key:
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stats = stats.filter(FactNotificationStatus.key_type != KEY_TYPE_TEST)
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if start_date <= datetime.utcnow().date() <= end_date:
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today = get_london_midnight_in_utc(datetime.utcnow())
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subquery = db.session.query(
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Notification.notification_type.cast(db.Text).label('notification_type'),
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Notification.status.label('status'),
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Notification.service_id.label('service_id'),
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func.count(Notification.id).label('count')
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).filter(
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Notification.created_at >= today
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).group_by(
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Notification.notification_type,
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Notification.status,
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Notification.service_id
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)
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if not include_from_test_key:
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subquery = subquery.filter(Notification.key_type != KEY_TYPE_TEST)
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subquery = subquery.subquery()
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stats_for_today = db.session.query(
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Service.id.label('service_id'),
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Service.name.label('name'),
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Service.restricted.label('restricted'),
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Service.research_mode.label('research_mode'),
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Service.active.label('active'),
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Service.created_at.label('created_at'),
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subquery.c.notification_type.label('notification_type'),
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subquery.c.status.label('status'),
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subquery.c.count.label('count')
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).outerjoin(
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subquery,
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subquery.c.service_id == Service.id
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)
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all_stats_table = stats.union_all(stats_for_today).subquery()
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query = db.session.query(
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all_stats_table.c.service_id,
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all_stats_table.c.name,
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all_stats_table.c.restricted,
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all_stats_table.c.research_mode,
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all_stats_table.c.active,
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all_stats_table.c.created_at,
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all_stats_table.c.notification_type,
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all_stats_table.c.status,
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func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
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).group_by(
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all_stats_table.c.service_id,
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all_stats_table.c.name,
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all_stats_table.c.restricted,
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all_stats_table.c.research_mode,
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all_stats_table.c.active,
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all_stats_table.c.created_at,
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all_stats_table.c.notification_type,
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all_stats_table.c.status,
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).order_by(
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all_stats_table.c.name,
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all_stats_table.c.notification_type,
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all_stats_table.c.status
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)
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else:
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query = stats
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return query.all()
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