Files
notifications-admin/app/main/views/dashboard.py
Chris Hill-Scott b38ae08ad6 Put some statistics on the dashboard
This commit adds two new sections to the dashboard

1. A banner telling you about trial mode, including a count of how many messages
   you have left today, which is a restriction of trial mode

2. Panels with counts of how many emails and text messages have been sent in a
   day, plus the failure rates for each

It does **not**:
- link through to any further information about what trial mode is (coming
  later)
- link through to pages for the failure rates (coming later)
- change the ‘recent jobs’ section to ‘recent notifications’
2016-03-17 14:06:12 +00:00

62 lines
1.9 KiB
Python

from flask import (
render_template,
session,
flash
)
from flask_login import login_required
from app.main import main
from app.main.dao.services_dao import get_service_by_id
from app.main.dao import templates_dao
from app import job_api_client, statistics_api_client
@main.route("/services/<service_id>/dashboard")
@login_required
def service_dashboard(service_id):
templates = templates_dao.get_service_templates(service_id)['data']
jobs = job_api_client.get_job(service_id)['data']
service = get_service_by_id(service_id)
session['service_name'] = service['data']['name']
session['service_id'] = service['data']['id']
if session.get('invited_user'):
session.pop('invited_user', None)
service_name = service['data']['name']
message = 'You have successfully accepted your invitation and been added to {}'.format(service_name)
flash(message, 'default_with_tick')
statistics = statistics_api_client.get_statistics_for_service(service_id)['data']
return render_template(
'views/dashboard/dashboard.html',
jobs=jobs[:5],
more_jobs_to_show=(len(jobs) > 5),
free_text_messages_remaining='250,000',
spent_this_month='0.00',
service=service['data'],
statistics=expand_statistics(statistics),
templates=templates,
service_id=str(service_id))
def expand_statistics(statistics, danger_zone=25):
if not statistics or not statistics[0]:
return {}
today = statistics[0]
today.update({
'emails_failure_rate': int(today['emails_error'] / today['emails_requested'] * 100),
'sms_failure_rate': int(today['sms_error'] / today['sms_requested'] * 100)
})
today.update({
'emails_percentage_of_danger_zone': min(today['emails_failure_rate'] / (danger_zone / 100), 100),
'sms_percentage_of_danger_zone': min(today['sms_failure_rate'] / (danger_zone / 100), 100)
})
return today