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notifications-api/app/dao/fact_notification_status_dao.py

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from datetime import datetime, timedelta, time
from flask import current_app
from notifications_utils.timezones import convert_bst_to_utc
from sqlalchemy import func
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 (
EMAIL_TYPE,
FactNotificationStatus,
KEY_TYPE_TEST,
LETTER_TYPE,
Notification,
NotificationHistory,
NOTIFICATION_CANCELLED,
Service,
SMS_TYPE,
Template,
)
from app.utils import get_london_midnight_in_utc, midnight_n_days_ago, get_london_month_from_utc_column
def fetch_notification_status_for_day(process_day):
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))
# use notification_history if process day is older than 7 days
# this is useful if we need to rebuild the ft_billing table for a date older than 7 days ago.
current_app.logger.info("Fetch ft_notification_status for {} to {}".format(start_date, end_date))
all_data_for_process_day = []
service_ids = [x.id for x in Service.query.all()]
# for each service
# for each notification type
# query notifications for day
# if no rows try notificationHistory
for service_id in service_ids:
for notification_type in [EMAIL_TYPE, SMS_TYPE, LETTER_TYPE]:
data_for_service_and_type = query_for_fact_status_data(
table=Notification,
start_date=start_date,
end_date=end_date,
notification_type=notification_type,
service_id=service_id
)
if len(data_for_service_and_type) == 0:
data_for_service_and_type = query_for_fact_status_data(
table=NotificationHistory,
start_date=start_date,
end_date=end_date,
notification_type=notification_type,
service_id=service_id
)
all_data_for_process_day = all_data_for_process_day + data_for_service_and_type
return all_data_for_process_day
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.notification_type,
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
).group_by(
table.template_id,
table.service_id,
'job_id',
table.notification_type,
table.key_type,
table.status
)
return query.all()
def update_fact_notification_status(data, process_day):
table = FactNotificationStatus.__table__
FactNotificationStatus.query.filter(
FactNotificationStatus.bst_date == process_day
).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=row.notification_type,
key_type=row.key_type,
notification_status=row.status,
notification_count=row.notification_count,
)
db.session.connection().execute(stmt)
db.session.commit()
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()
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
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literal(bst_day.replace(day=1), type_=DateTime).label('month'),
Notification.notification_type,
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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()
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()
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'),
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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,
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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,
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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()
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()
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()
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()
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