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https://github.com/GSA/notifications-api.git
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Refactor usage API queries into functions per type
This makes it easier to extend each function with costs and free allowances - especially for SMS. I've chosen to duplicate the "WHERE" clause in each subquery vs. the top-level query. This will make more sense in later commits where we start adding free allowance calculations, which need to be done on a yearly basis - knowledge the subqueries should have.
This commit is contained in:
@@ -2,7 +2,7 @@ from datetime import date, datetime, timedelta
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from flask import current_app
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from notifications_utils.timezones import convert_utc_to_bst
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from sqlalchemy import Date, Integer, and_, desc, func
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from sqlalchemy import Date, Integer, and_, desc, func, union
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from sqlalchemy.dialects.postgresql import insert
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from sqlalchemy.sql.expression import case, literal
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@@ -197,55 +197,67 @@ def fetch_letter_line_items_for_all_services(start_date, end_date):
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def fetch_billing_totals_for_year(service_id, year):
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year_start, year_end = get_financial_year_dates(year)
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"""
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Billing for email: only record the total number of emails.
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Billing for letters: The billing units is used to fetch the correct rate for the sheet count of the letter.
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Total cost is notifications_sent * rate.
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Rate multiplier does not apply to email or letters.
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"""
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email_and_letters = db.session.query(
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func.sum(FactBilling.notifications_sent).label("notifications_sent"),
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func.sum(FactBilling.notifications_sent).label("billable_units"),
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FactBilling.rate.label('rate'),
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FactBilling.notification_type.label('notification_type')
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).filter(
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FactBilling.service_id == service_id,
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FactBilling.bst_date >= year_start,
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FactBilling.bst_date <= year_end,
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FactBilling.notification_type.in_([EMAIL_TYPE, LETTER_TYPE])
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).group_by(
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FactBilling.rate,
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FactBilling.notification_type
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)
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"""
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Billing for SMS using the billing_units * rate_multiplier. Billing unit of SMS is the fragment count of a message
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"""
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sms = db.session.query(
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func.sum(FactBilling.notifications_sent).label("notifications_sent"),
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func.sum(FactBilling.billable_units * FactBilling.rate_multiplier).label("billable_units"),
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FactBilling.rate,
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FactBilling.notification_type
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).filter(
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FactBilling.service_id == service_id,
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FactBilling.bst_date >= year_start,
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FactBilling.bst_date <= year_end,
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FactBilling.notification_type == SMS_TYPE
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).group_by(
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FactBilling.rate,
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FactBilling.notification_type
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)
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Returns a row for each distinct rate and notification_type from ft_billing
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over the specified financial year e.g.
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yearly_data = email_and_letters.union_all(sms).order_by(
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'notification_type',
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'rate'
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(
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rate=0.0165,
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notification_type=sms,
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notifications_sent=123,
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...
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)
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The "query_service_<type>..." subqueries for each notification_type all
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return the same columns but differ internally e.g. SMS has to incorporate
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a rate multiplier. Each subquery returns the same set of columns, which we
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pick from here before the big union.
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"""
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return db.session.query(
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union(*[
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db.session.query(
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query.c.notification_type.label("notification_type"),
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query.c.rate.label("rate"),
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func.sum(query.c.notifications_sent).label("notifications_sent"),
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func.sum(query.c.billable_units).label("billable_units"),
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).group_by(
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query.c.rate,
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query.c.notification_type
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)
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for query in [
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query_service_sms_usage_for_year(service_id, year).subquery(),
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query_service_email_usage_for_year(service_id, year).subquery(),
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query_service_letter_usage_for_year(service_id, year).subquery(),
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]
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]).subquery()
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).order_by(
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"notification_type",
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"rate",
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).all()
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return yearly_data
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def fetch_monthly_billing_for_year(service_id, year):
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year_start, year_end = get_financial_year_dates(year)
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"""
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Returns a row for each distinct rate, notification_type, postage and month
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from ft_billing over the specified financial year e.g.
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(
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rate=0.0165,
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notification_type=sms,
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postage=none,
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month=2022-04-01 00:00:00,
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notifications_sent=123,
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...
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)
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The "postage" field is "none" except for letters. Each subquery takes care
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of anything specific to the notification type e.g. rate multipliers for SMS.
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Since the data in ft_billing is only refreshed once a day for all services,
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we also update the table on-the-fly if we need accurate data for this year.
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"""
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_, year_end = get_financial_year_dates(year)
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today = convert_utc_to_bst(datetime.utcnow()).date()
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# if year end date is less than today, we are calculating for data in the past and have no need for deltas.
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@@ -254,52 +266,89 @@ def fetch_monthly_billing_for_year(service_id, year):
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for d in data:
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update_fact_billing(data=d, process_day=today)
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email_and_letters = db.session.query(
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func.date_trunc('month', FactBilling.bst_date).cast(Date).label("month"),
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func.sum(FactBilling.notifications_sent).label("notifications_sent"),
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func.sum(FactBilling.notifications_sent).label("billable_units"),
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FactBilling.rate.label('rate'),
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FactBilling.notification_type.label('notification_type'),
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FactBilling.postage
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return db.session.query(
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union(*[
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db.session.query(
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query.c.rate.label("rate"),
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query.c.notification_type.label("notification_type"),
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query.c.postage.label("postage"),
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func.date_trunc('month', query.c.bst_date).cast(Date).label("month"),
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func.sum(query.c.notifications_sent).label("notifications_sent"),
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func.sum(query.c.billable_units).label("billable_units"),
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).group_by(
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query.c.rate,
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query.c.notification_type,
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query.c.postage,
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'month',
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)
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for query in [
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query_service_sms_usage_for_year(service_id, year).subquery(),
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query_service_email_usage_for_year(service_id, year).subquery(),
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query_service_letter_usage_for_year(service_id, year).subquery(),
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]
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]).subquery()
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).order_by(
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"month",
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"notification_type",
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"rate",
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).all()
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def query_service_email_usage_for_year(service_id, year):
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year_start, year_end = get_financial_year_dates(year)
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return db.session.query(
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FactBilling.bst_date,
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FactBilling.postage, # should always be "none"
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FactBilling.notifications_sent,
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FactBilling.notifications_sent.label("billable_units"),
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FactBilling.rate,
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FactBilling.notification_type,
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).filter(
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FactBilling.service_id == service_id,
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FactBilling.bst_date >= year_start,
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FactBilling.bst_date <= year_end,
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FactBilling.notification_type.in_([EMAIL_TYPE, LETTER_TYPE])
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).group_by(
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'month',
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FactBilling.rate,
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FactBilling.notification_type,
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FactBilling.postage
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FactBilling.notification_type == EMAIL_TYPE
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)
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sms = db.session.query(
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func.date_trunc('month', FactBilling.bst_date).cast(Date).label("month"),
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func.sum(FactBilling.notifications_sent).label("notifications_sent"),
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func.sum(FactBilling.billable_units * FactBilling.rate_multiplier).label("billable_units"),
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def query_service_letter_usage_for_year(service_id, year):
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year_start, year_end = get_financial_year_dates(year)
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return db.session.query(
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FactBilling.bst_date,
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FactBilling.postage,
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FactBilling.notifications_sent,
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FactBilling.notifications_sent.label("billable_units"),
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FactBilling.rate,
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FactBilling.notification_type,
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).filter(
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FactBilling.service_id == service_id,
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FactBilling.bst_date >= year_start,
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FactBilling.bst_date <= year_end,
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FactBilling.notification_type == LETTER_TYPE
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)
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def query_service_sms_usage_for_year(service_id, year):
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year_start, year_end = get_financial_year_dates(year)
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chargeable_units = FactBilling.billable_units * FactBilling.rate_multiplier
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return db.session.query(
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FactBilling.bst_date,
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FactBilling.postage, # should always be "none"
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FactBilling.notifications_sent,
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chargeable_units.label("billable_units"),
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FactBilling.rate,
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FactBilling.notification_type,
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FactBilling.postage
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).filter(
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FactBilling.service_id == service_id,
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FactBilling.bst_date >= year_start,
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FactBilling.bst_date <= year_end,
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FactBilling.notification_type == SMS_TYPE
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).group_by(
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'month',
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FactBilling.rate,
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FactBilling.notification_type,
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FactBilling.postage
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)
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yearly_data = email_and_letters.union_all(sms).order_by(
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'month',
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'notification_type',
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'rate'
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).all()
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return yearly_data
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def delete_billing_data_for_service_for_day(process_day, service_id):
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"""
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