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refactored live_services_csv

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with the aim of making the link between api return values and csv
column headers more apparent
This commit is contained in:
Leo Hemsted
2019-05-31 12:13:34 +01:00
parent 3a1282d03f
commit c559ff8c97
1 changed files with 26 additions and 26 deletions
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52
app/main/views/platform_admin.py
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@@ -203,33 +203,33 @@ def platform_admin_reports():
@user_is_platform_admin
def live_services_csv():
results = service_api_client.get_live_services_data()["data"]
live_services_columns = [
"Service ID", "Organisation", "Organisation type", "Service name", "Consent to research", "Main contact",
"Contact email", "Contact mobile", "Live date", "SMS volume intent", "Email volume intent",
"Letter volume intent", "SMS sent this year", "Emails sent this year", "Letters sent this year"
]
live_services_data = []
live_services_data.append(live_services_columns)
column_names = OrderedDict([
('service_id', 'Service ID'),
('organisation_name', 'Organisation'),
('organisation_type', 'Organisation type'),
('service_name', 'Service name'),
('consent_to_research', 'Consent to research'),
('contact_name', 'Main contact'),
('contact_email', 'Contact email'),
('contact_mobile', 'Contact mobile'),
('live_date', 'Live date'),
('sms_volume_intent', 'SMS volume intent'),
('email_volume_intent', 'Email volume intent'),
('letter_volume_intent', 'Letter volume intent'),
('sms_totals', 'SMS sent this year'),
('email_totals', 'Emails sent this year'),
('letter_totals', 'Letters sent this year'),
])
# initialise with header row
live_services_data = [[x for x in column_names.values()]]
for row in results:
live_services_data.append([
row["service_id"],
row["organisation_name"],
row["organisation_type"],
row["service_name"],
row["consent_to_research"],
row["contact_name"],
row["contact_email"],
row["contact_mobile"],
datetime.strptime(
row["live_date"], '%a, %d %b %Y %X %Z'
).strftime("%d-%m-%Y") if row["live_date"] else None,
row["sms_volume_intent"],
row["email_volume_intent"],
row["letter_volume_intent"],
row["sms_totals"],
row["email_totals"],
row["letter_totals"],
])
if row['live_date']:
row['live_date'] = datetime.strptime(row["live_date"], '%a, %d %b %Y %X %Z').strftime("%d-%m-%Y")
live_services_data.append([row[api_key] for api_key in column_names.keys()])
return Spreadsheet.from_rows(live_services_data).as_csv_data, 200, {
'Content-Type': 'text/csv; charset=utf-8',