Split out unit and monetary columns

This is so we can treat them slightly differently later on.
This commit is contained in:
Chris Hill-Scott
2021-11-25 10:04:21 +00:00
parent ded7fa524f
commit 0e13cda9e5

View File

@@ -175,15 +175,22 @@ def download_organisation_usage_report(org_id):
financial_year=selected_year
)['services']
column_names = OrderedDict([
unit_column_names = OrderedDict([
('service_id', 'Service ID'),
('service_name', 'Service Name'),
('emails_sent', 'Emails sent'),
('sms_remainder', 'Free text message allowance remaining'),
])
monetary_column_names = OrderedDict([
('sms_cost', 'Spent on text messages (£)'),
('letter_cost', 'Spent on letters (£)')
])
column_names = OrderedDict(
list(unit_column_names.items()) + list(monetary_column_names.items())
)
org_usage_data = [[x for x in column_names.values()]]
for service in services_usage: