Add new total_letters field to the billing report data

This adds total_letters to the data that is returned by the
`/platform-stats/data-for-billing-report` endpoint so that we can add
total letters as a column in the CSV file that can be downloaded.
This commit is contained in:
Katie Smith
2021-06-11 11:11:47 +01:00
parent 6a99a1fbc2
commit 0148b3dba6
4 changed files with 28 additions and 18 deletions

View File

@@ -114,12 +114,13 @@ def fetch_sms_billing_for_all_services(start_date, end_date):
return query.all()
def fetch_letter_costs_for_all_services(start_date, end_date):
def fetch_letter_costs_and_totals_for_all_services(start_date, end_date):
query = db.session.query(
Organisation.name.label("organisation_name"),
Organisation.id.label("organisation_id"),
Service.name.label("service_name"),
Service.id.label("service_id"),
func.sum(FactBilling.notifications_sent).label("total_letters"),
func.sum(FactBilling.notifications_sent * FactBilling.rate).label("letter_cost")
).select_from(
Service

View File

@@ -5,7 +5,7 @@ from flask import Blueprint, jsonify, request
from app.dao.date_util import get_financial_year_for_datetime
from app.dao.fact_billing_dao import (
fetch_billing_details_for_all_services,
fetch_letter_costs_for_all_services,
fetch_letter_costs_and_totals_for_all_services,
fetch_letter_line_items_for_all_services,
fetch_sms_billing_for_all_services,
)
@@ -67,7 +67,7 @@ def get_data_for_billing_report():
start_date, end_date = validate_date_range_is_within_a_financial_year(start_date, end_date)
sms_costs = fetch_sms_billing_for_all_services(start_date, end_date)
letter_costs = fetch_letter_costs_for_all_services(start_date, end_date)
letter_overview = fetch_letter_costs_and_totals_for_all_services(start_date, end_date)
letter_breakdown = fetch_letter_line_items_for_all_services(start_date, end_date)
lb_by_service = [
@@ -85,26 +85,31 @@ def get_data_for_billing_report():
"service_name": s.service_name,
"sms_cost": float(s.sms_cost),
"sms_fragments": s.chargeable_billable_sms,
"total_letters": 0,
"letter_cost": 0,
"letter_breakdown": ""
}
combined[s.service_id] = entry
for letter_cost in letter_costs:
if letter_cost.service_id in combined:
combined[letter_cost.service_id].update({'letter_cost': float(letter_cost.letter_cost)})
for data in letter_overview:
if data.service_id in combined:
combined[data.service_id].update(
{'total_letters': data.total_letters, 'letter_cost': float(data.letter_cost)}
)
else:
letter_entry = {
"organisation_id": str(letter_cost.organisation_id) if letter_cost.organisation_id else "",
"organisation_name": letter_cost.organisation_name or "",
"service_id": str(letter_cost.service_id),
"service_name": letter_cost.service_name,
"organisation_id": str(data.organisation_id) if data.organisation_id else "",
"organisation_name": data.organisation_name or "",
"service_id": str(data.service_id),
"service_name": data.service_name,
"sms_cost": 0,
"sms_fragments": 0,
"letter_cost": float(letter_cost.letter_cost),
"total_letters": data.total_letters,
"letter_cost": float(data.letter_cost),
"letter_breakdown": ""
}
combined[letter_cost.service_id] = letter_entry
combined[data.service_id] = letter_entry
for service_id, breakdown in lb_by_service:
combined[service_id]['letter_breakdown'] += (breakdown + '\n')