Files
notifications-api/app/dao/fact_notification_status_dao.py
2020-02-18 14:33:17 +00:00

519 lines
20 KiB
Python

from datetime import datetime, timedelta, time
from flask import current_app
from notifications_utils.statsd_decorators import statsd
from notifications_utils.timezones import convert_bst_to_utc
from sqlalchemy import case, func, Date
from sqlalchemy.dialects.postgresql import insert
from sqlalchemy.sql.expression import literal, extract
from sqlalchemy.types import DateTime, Integer
from app import db
from app.models import (
FactNotificationStatus,
KEY_TYPE_TEST,
Notification,
NOTIFICATION_CANCELLED,
NOTIFICATION_CREATED,
NOTIFICATION_DELIVERED,
NOTIFICATION_FAILED,
NOTIFICATION_SENDING,
NOTIFICATION_SENT,
NOTIFICATION_TECHNICAL_FAILURE,
NOTIFICATION_TEMPORARY_FAILURE,
NOTIFICATION_PERMANENT_FAILURE,
Service,
Template,
)
from app.dao.dao_utils import transactional
from app.utils import (
get_london_midnight_in_utc,
midnight_n_days_ago,
get_london_month_from_utc_column,
get_notification_table_to_use,
)
@statsd(namespace="dao")
def fetch_notification_status_for_day(process_day, notification_type):
start_date = convert_bst_to_utc(datetime.combine(process_day, time.min))
end_date = convert_bst_to_utc(datetime.combine(process_day + timedelta(days=1), time.min))
current_app.logger.info("Fetch ft_notification_status for {} to {}".format(start_date, end_date))
all_data_for_process_day = []
services = Service.query.all()
# for each service query notifications or notification_history for the day, depending on their data retention
for service in services:
table = get_notification_table_to_use(service, notification_type, process_day, has_delete_task_run=False)
data_for_service_and_type = query_for_fact_status_data(
table=table,
start_date=start_date,
end_date=end_date,
notification_type=notification_type,
service_id=service.id
)
all_data_for_process_day += data_for_service_and_type
return all_data_for_process_day
@statsd(namespace="dao")
def query_for_fact_status_data(table, start_date, end_date, notification_type, service_id):
query = db.session.query(
table.template_id,
table.service_id,
func.coalesce(table.job_id, '00000000-0000-0000-0000-000000000000').label('job_id'),
table.key_type,
table.status,
func.count().label('notification_count')
).filter(
table.created_at >= start_date,
table.created_at < end_date,
table.notification_type == notification_type,
table.service_id == service_id,
table.key_type != KEY_TYPE_TEST
).group_by(
table.template_id,
table.service_id,
'job_id',
table.key_type,
table.status
)
return query.all()
@statsd(namespace="dao")
@transactional
def update_fact_notification_status(data, process_day, notification_type):
table = FactNotificationStatus.__table__
FactNotificationStatus.query.filter(
FactNotificationStatus.bst_date == process_day,
FactNotificationStatus.notification_type == notification_type
).delete()
for row in data:
stmt = insert(table).values(
bst_date=process_day,
template_id=row.template_id,
service_id=row.service_id,
job_id=row.job_id,
notification_type=notification_type,
key_type=row.key_type,
notification_status=row.status,
notification_count=row.notification_count,
)
db.session.connection().execute(stmt)
@statsd(namespace="dao")
def fetch_notification_status_for_service_by_month(start_date, end_date, service_id):
return db.session.query(
func.date_trunc('month', FactNotificationStatus.bst_date).label('month'),
FactNotificationStatus.notification_type,
FactNotificationStatus.notification_status,
func.sum(FactNotificationStatus.notification_count).label('count')
).filter(
FactNotificationStatus.service_id == service_id,
FactNotificationStatus.bst_date >= start_date,
FactNotificationStatus.bst_date < end_date,
FactNotificationStatus.key_type != KEY_TYPE_TEST
).group_by(
func.date_trunc('month', FactNotificationStatus.bst_date).label('month'),
FactNotificationStatus.notification_type,
FactNotificationStatus.notification_status
).all()
@statsd(namespace="dao")
def fetch_notification_status_for_service_for_day(bst_day, service_id):
return db.session.query(
# return current month as a datetime so the data has the same shape as the ft_notification_status query
literal(bst_day.replace(day=1), type_=DateTime).label('month'),
Notification.notification_type,
Notification.status.label('notification_status'),
func.count().label('count')
).filter(
Notification.created_at >= get_london_midnight_in_utc(bst_day),
Notification.created_at < get_london_midnight_in_utc(bst_day + timedelta(days=1)),
Notification.service_id == service_id,
Notification.key_type != KEY_TYPE_TEST
).group_by(
Notification.notification_type,
Notification.status
).all()
@statsd(namespace="dao")
def fetch_notification_status_for_service_for_today_and_7_previous_days(service_id, by_template=False, limit_days=7):
start_date = midnight_n_days_ago(limit_days)
now = datetime.utcnow()
stats_for_7_days = db.session.query(
FactNotificationStatus.notification_type.label('notification_type'),
FactNotificationStatus.notification_status.label('status'),
*([FactNotificationStatus.template_id.label('template_id')] if by_template else []),
FactNotificationStatus.notification_count.label('count')
).filter(
FactNotificationStatus.service_id == service_id,
FactNotificationStatus.bst_date >= start_date,
FactNotificationStatus.key_type != KEY_TYPE_TEST
)
stats_for_today = db.session.query(
Notification.notification_type.cast(db.Text),
Notification.status,
*([Notification.template_id] if by_template else []),
func.count().label('count')
).filter(
Notification.created_at >= get_london_midnight_in_utc(now),
Notification.service_id == service_id,
Notification.key_type != KEY_TYPE_TEST
).group_by(
Notification.notification_type,
*([Notification.template_id] if by_template else []),
Notification.status
)
all_stats_table = stats_for_7_days.union_all(stats_for_today).subquery()
query = db.session.query(
*([
Template.name.label("template_name"),
Template.is_precompiled_letter,
all_stats_table.c.template_id
] if by_template else []),
all_stats_table.c.notification_type,
all_stats_table.c.status,
func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
)
if by_template:
query = query.filter(all_stats_table.c.template_id == Template.id)
return query.group_by(
*([Template.name, Template.is_precompiled_letter, all_stats_table.c.template_id] if by_template else []),
all_stats_table.c.notification_type,
all_stats_table.c.status,
).all()
@statsd(namespace="dao")
def fetch_notification_status_totals_for_all_services(start_date, end_date):
stats = db.session.query(
FactNotificationStatus.notification_type.label('notification_type'),
FactNotificationStatus.notification_status.label('status'),
FactNotificationStatus.key_type.label('key_type'),
func.sum(FactNotificationStatus.notification_count).label('count')
).filter(
FactNotificationStatus.bst_date >= start_date,
FactNotificationStatus.bst_date <= end_date
).group_by(
FactNotificationStatus.notification_type,
FactNotificationStatus.notification_status,
FactNotificationStatus.key_type,
)
today = get_london_midnight_in_utc(datetime.utcnow())
if start_date <= datetime.utcnow().date() <= end_date:
stats_for_today = db.session.query(
Notification.notification_type.cast(db.Text).label('notification_type'),
Notification.status,
Notification.key_type,
func.count().label('count')
).filter(
Notification.created_at >= today
).group_by(
Notification.notification_type.cast(db.Text),
Notification.status,
Notification.key_type,
)
all_stats_table = stats.union_all(stats_for_today).subquery()
query = db.session.query(
all_stats_table.c.notification_type,
all_stats_table.c.status,
all_stats_table.c.key_type,
func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
).group_by(
all_stats_table.c.notification_type,
all_stats_table.c.status,
all_stats_table.c.key_type,
).order_by(
all_stats_table.c.notification_type
)
else:
query = stats.order_by(
FactNotificationStatus.notification_type
)
return query.all()
@statsd(namespace="dao")
def fetch_notification_statuses_for_job(job_id):
return db.session.query(
FactNotificationStatus.notification_status.label('status'),
func.sum(FactNotificationStatus.notification_count).label('count'),
).filter(
FactNotificationStatus.job_id == job_id,
).group_by(
FactNotificationStatus.notification_status
).all()
@statsd(namespace="dao")
def fetch_stats_for_all_services_by_date_range(start_date, end_date, include_from_test_key=True):
stats = db.session.query(
FactNotificationStatus.service_id.label('service_id'),
Service.name.label('name'),
Service.restricted.label('restricted'),
Service.research_mode.label('research_mode'),
Service.active.label('active'),
Service.created_at.label('created_at'),
FactNotificationStatus.notification_type.label('notification_type'),
FactNotificationStatus.notification_status.label('status'),
func.sum(FactNotificationStatus.notification_count).label('count')
).filter(
FactNotificationStatus.bst_date >= start_date,
FactNotificationStatus.bst_date <= end_date,
FactNotificationStatus.service_id == Service.id,
).group_by(
FactNotificationStatus.service_id.label('service_id'),
Service.name,
Service.restricted,
Service.research_mode,
Service.active,
Service.created_at,
FactNotificationStatus.notification_type,
FactNotificationStatus.notification_status,
).order_by(
FactNotificationStatus.service_id,
FactNotificationStatus.notification_type
)
if not include_from_test_key:
stats = stats.filter(FactNotificationStatus.key_type != KEY_TYPE_TEST)
if start_date <= datetime.utcnow().date() <= end_date:
today = get_london_midnight_in_utc(datetime.utcnow())
subquery = db.session.query(
Notification.notification_type.cast(db.Text).label('notification_type'),
Notification.status.label('status'),
Notification.service_id.label('service_id'),
func.count(Notification.id).label('count')
).filter(
Notification.created_at >= today
).group_by(
Notification.notification_type,
Notification.status,
Notification.service_id
)
if not include_from_test_key:
subquery = subquery.filter(Notification.key_type != KEY_TYPE_TEST)
subquery = subquery.subquery()
stats_for_today = db.session.query(
Service.id.label('service_id'),
Service.name.label('name'),
Service.restricted.label('restricted'),
Service.research_mode.label('research_mode'),
Service.active.label('active'),
Service.created_at.label('created_at'),
subquery.c.notification_type.label('notification_type'),
subquery.c.status.label('status'),
subquery.c.count.label('count')
).outerjoin(
subquery,
subquery.c.service_id == Service.id
)
all_stats_table = stats.union_all(stats_for_today).subquery()
query = db.session.query(
all_stats_table.c.service_id,
all_stats_table.c.name,
all_stats_table.c.restricted,
all_stats_table.c.research_mode,
all_stats_table.c.active,
all_stats_table.c.created_at,
all_stats_table.c.notification_type,
all_stats_table.c.status,
func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
).group_by(
all_stats_table.c.service_id,
all_stats_table.c.name,
all_stats_table.c.restricted,
all_stats_table.c.research_mode,
all_stats_table.c.active,
all_stats_table.c.created_at,
all_stats_table.c.notification_type,
all_stats_table.c.status,
).order_by(
all_stats_table.c.name,
all_stats_table.c.notification_type,
all_stats_table.c.status
)
else:
query = stats
return query.all()
@statsd(namespace="dao")
def fetch_monthly_template_usage_for_service(start_date, end_date, service_id):
# services_dao.replaces dao_fetch_monthly_historical_usage_by_template_for_service
stats = db.session.query(
FactNotificationStatus.template_id.label('template_id'),
Template.name.label('name'),
Template.template_type.label('template_type'),
Template.is_precompiled_letter.label('is_precompiled_letter'),
extract('month', FactNotificationStatus.bst_date).label('month'),
extract('year', FactNotificationStatus.bst_date).label('year'),
func.sum(FactNotificationStatus.notification_count).label('count')
).join(
Template, FactNotificationStatus.template_id == Template.id
).filter(
FactNotificationStatus.service_id == service_id,
FactNotificationStatus.bst_date >= start_date,
FactNotificationStatus.bst_date <= end_date,
FactNotificationStatus.key_type != KEY_TYPE_TEST,
FactNotificationStatus.notification_status != NOTIFICATION_CANCELLED,
).group_by(
FactNotificationStatus.template_id,
Template.name,
Template.template_type,
Template.is_precompiled_letter,
extract('month', FactNotificationStatus.bst_date).label('month'),
extract('year', FactNotificationStatus.bst_date).label('year'),
).order_by(
extract('year', FactNotificationStatus.bst_date),
extract('month', FactNotificationStatus.bst_date),
Template.name
)
if start_date <= datetime.utcnow() <= end_date:
today = get_london_midnight_in_utc(datetime.utcnow())
month = get_london_month_from_utc_column(Notification.created_at)
stats_for_today = db.session.query(
Notification.template_id.label('template_id'),
Template.name.label('name'),
Template.template_type.label('template_type'),
Template.is_precompiled_letter.label('is_precompiled_letter'),
extract('month', month).label('month'),
extract('year', month).label('year'),
func.count().label('count')
).join(
Template, Notification.template_id == Template.id,
).filter(
Notification.created_at >= today,
Notification.service_id == service_id,
Notification.key_type != KEY_TYPE_TEST,
Notification.status != NOTIFICATION_CANCELLED
).group_by(
Notification.template_id,
Template.hidden,
Template.name,
Template.template_type,
month
)
all_stats_table = stats.union_all(stats_for_today).subquery()
query = db.session.query(
all_stats_table.c.template_id,
all_stats_table.c.name,
all_stats_table.c.is_precompiled_letter,
all_stats_table.c.template_type,
func.cast(all_stats_table.c.month, Integer).label('month'),
func.cast(all_stats_table.c.year, Integer).label('year'),
func.cast(func.sum(all_stats_table.c.count), Integer).label('count'),
).group_by(
all_stats_table.c.template_id,
all_stats_table.c.name,
all_stats_table.c.is_precompiled_letter,
all_stats_table.c.template_type,
all_stats_table.c.month,
all_stats_table.c.year,
).order_by(
all_stats_table.c.year,
all_stats_table.c.month,
all_stats_table.c.name
)
else:
query = stats
return query.all()
@statsd(namespace="dao")
def get_total_sent_notifications_for_day_and_type(day, notification_type):
result = db.session.query(
func.sum(FactNotificationStatus.notification_count).label('count')
).filter(
FactNotificationStatus.notification_type == notification_type,
FactNotificationStatus.key_type != KEY_TYPE_TEST,
FactNotificationStatus.bst_date == day,
).scalar()
return result or 0
@statsd(namespace="dao")
def fetch_monthly_notification_statuses_per_service(start_date, end_date):
return db.session.query(
func.date_trunc('month', FactNotificationStatus.bst_date).cast(Date).label('date_created'),
Service.id.label('service_id'),
Service.name.label('service_name'),
FactNotificationStatus.notification_type,
func.sum(case(
[
(FactNotificationStatus.notification_status == NOTIFICATION_SENDING,
FactNotificationStatus.notification_count)
],
else_=0)).label('count_sending'),
func.sum(case(
[
(FactNotificationStatus.notification_status == NOTIFICATION_DELIVERED,
FactNotificationStatus.notification_count)
],
else_=0)).label('count_delivered'),
func.sum(case(
[
(FactNotificationStatus.notification_status.in_([NOTIFICATION_TECHNICAL_FAILURE, NOTIFICATION_FAILED]),
FactNotificationStatus.notification_count)
],
else_=0)).label('count_technical_failure'),
func.sum(case(
[
(FactNotificationStatus.notification_status == NOTIFICATION_TEMPORARY_FAILURE,
FactNotificationStatus.notification_count)
],
else_=0)).label('count_temporary_failure'),
func.sum(case(
[
(FactNotificationStatus.notification_status == NOTIFICATION_PERMANENT_FAILURE,
FactNotificationStatus.notification_count)
],
else_=0)).label('count_permanent_failure'),
func.sum(case(
[
(FactNotificationStatus.notification_status == NOTIFICATION_SENT,
FactNotificationStatus.notification_count)
],
else_=0)).label('count_sent'),
).join(
Service, FactNotificationStatus.service_id == Service.id
).filter(
FactNotificationStatus.notification_status != NOTIFICATION_CREATED,
Service.active.is_(True),
FactNotificationStatus.key_type != KEY_TYPE_TEST,
Service.research_mode.is_(False),
Service.restricted.is_(False),
FactNotificationStatus.bst_date >= start_date,
FactNotificationStatus.bst_date <= end_date,
).group_by(
Service.id,
Service.name,
func.date_trunc('month', FactNotificationStatus.bst_date).cast(Date),
FactNotificationStatus.notification_type,
).order_by(
func.date_trunc('month', FactNotificationStatus.bst_date).cast(Date),
Service.id,
FactNotificationStatus.notification_type,
).all()