Files
notifications-api/app/service/statistics.py

120 lines
3.8 KiB
Python
Raw Normal View History

from collections import defaultdict
from datetime import datetime
from app.dao.date_util import get_months_for_financial_year
from app.enums import NotificationStatus, TemplateType
def format_statistics(statistics):
# statistics come in a named tuple with uniqueness from 'notification_type', 'status' - however missing
# statuses/notification types won't be represented and the status types need to be simplified/summed up
# so we can return emails/sms * created, sent, and failed
counts = create_zeroed_stats_dicts()
for row in statistics:
# any row could be null, if the service either has no notifications in the notifications table,
# or no historical data in the ft_notification_status table.
if row.notification_type:
_update_statuses_from_row(counts[row.notification_type], row)
return counts
def format_admin_stats(statistics):
counts = create_stats_dict()
for row in statistics:
2023-08-29 14:54:30 -07:00
if row.key_type == "test":
counts[row.notification_type]["test-key"] += row.count
else:
2023-08-29 14:54:30 -07:00
counts[row.notification_type]["total"] += row.count
if row.status in (
"technical-failure",
"permanent-failure",
"temporary-failure",
"virus-scan-failed",
):
counts[row.notification_type]["failures"][row.status] += row.count
return counts
def create_stats_dict():
stats_dict = {}
for template in (TemplateType.SMS, TemplateType.EMAIL):
stats_dict[template] = {}
2023-08-29 14:54:30 -07:00
for status in ("total", "test-key"):
stats_dict[template][status] = 0
2023-08-29 14:54:30 -07:00
stats_dict[template]["failures"] = {
"technical-failure": 0,
"permanent-failure": 0,
"temporary-failure": 0,
"virus-scan-failed": 0,
}
return stats_dict
def format_monthly_template_notification_stats(year, rows):
stats = {
2023-08-29 14:54:30 -07:00
datetime.strftime(date, "%Y-%m"): {}
for date in [datetime(year, month, 1) for month in range(4, 13)]
+ [datetime(year + 1, month, 1) for month in range(1, 4)]
}
for row in rows:
2023-08-29 14:54:30 -07:00
formatted_month = row.month.strftime("%Y-%m")
if str(row.template_id) not in stats[formatted_month]:
stats[formatted_month][str(row.template_id)] = {
"name": row.name,
"type": row.template_type,
"counts": dict.fromkeys([e.value for e in NotificationStatus], 0),
}
stats[formatted_month][str(row.template_id)]["counts"][row.status] += row.count
return stats
def create_zeroed_stats_dicts():
return {
2023-08-29 14:54:30 -07:00
template_type: {status: 0 for status in ("requested", "delivered", "failed")}
for template_type in (TemplateType.SMS, TemplateType.EMAIL)
}
def _update_statuses_from_row(update_dict, row):
2023-08-29 14:54:30 -07:00
if row.status != "cancelled":
update_dict["requested"] += row.count
if row.status in ("delivered", "sent"):
update_dict["delivered"] += row.count
elif row.status in (
2023-08-29 14:54:30 -07:00
"failed",
"technical-failure",
"temporary-failure",
"permanent-failure",
"validation-failed",
"virus-scan-failed",
):
update_dict["failed"] += row.count
def create_empty_monthly_notification_status_stats_dict(year):
utc_month_starts = get_months_for_financial_year(year)
# nested dicts - data[month][template type][status] = count
return {
2023-08-29 14:54:30 -07:00
start.strftime("%Y-%m"): {
template_type: defaultdict(int)
for template_type in (TemplateType.SMS, TemplateType.EMAIL)
}
for start in utc_month_starts
}
def add_monthly_notification_status_stats(data, stats):
for row in stats:
2023-08-29 14:54:30 -07:00
month = row.month.strftime("%Y-%m")
data[month][row.notification_type][row.notification_status] += row.count
return data