Show all statistics fetched on the dashboard

We want to align all our stats to be for the last 7 days.

This means summing up the stats response from the API to make the Big
Number. Previously the big number was counting sent notifications as
successful. This commit changes it to only look at delivered
notifications.

Right now, the API doesn’t have a way of filtering to only show the last
7 days. So for the moment the dashboard will show statistics for all
time.

The upshot of this is that we can link from the dashboard to the
activity page when there are failures.

app/main/views/dashboard.py

@@ -1,6 +1,7 @@
 from datetime import date
 from collections import namedtuple
 from itertools import groupby
+from functools import reduce
 
 from flask import (
     render_template,
@@ -29,25 +30,21 @@ from app.utils import user_has_permissions
 @login_required
 @user_has_permissions('view_activity', admin_override=True)
 def service_dashboard(service_id):
-    templates = service_api_client.get_service_templates(service_id)['data']
-    jobs = job_api_client.get_job(service_id)['data']
 
     if session.get('invited_user'):
         session.pop('invited_user', None)
         return redirect(url_for("main.tour", service_id=service_id, page=1))
 
-    statistics = statistics_api_client.get_statistics_for_service(service_id)['data']
-    template_statistics = aggregate_usage(template_statistics_client.get_template_statistics_for_service(service_id))
-
     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',
-        statistics=add_rates_to(statistics),
-        templates=templates,
-        template_statistics=template_statistics)
+        statistics=add_rates_to(
+            statistics_api_client.get_statistics_for_service(service_id)['data']
+        ),
+        templates=service_api_client.get_service_templates(service_id)['data'],
+        template_statistics=aggregate_usage(
+            template_statistics_client.get_template_statistics_for_service(service_id)
+        )
+    )
 
 
 @main.route("/services/<service_id>/dashboard.json")
@@ -60,8 +57,12 @@ def service_dashboard_updates(service_id):
     return jsonify(**{
         'today': render_template(
             'views/dashboard/today.html',
-            statistics=add_rates_to(statistics),
-            template_statistics=template_statistics
+            statistics=add_rates_to(
+                statistics_api_client.get_statistics_for_service(service_id)['data']
+            ),
+            template_statistics=aggregate_usage(
+                template_statistics_client.get_template_statistics_for_service(service_id)
+            )
         )
     })
 
@@ -71,24 +72,32 @@ def add_rates_to(delivery_statistics):
     if not delivery_statistics or not delivery_statistics[0]:
         return {}
 
-    today = None
-    latest_stats = {}
-    if delivery_statistics[0]['day'] == date.today().strftime('%Y-%m-%d'):
-        today = delivery_statistics[0]
-        latest_stats = delivery_statistics[0]
+    sum_of_statistics = reduce(
+        lambda x, y: {
+            key: x.get(key, 0) + y.get(key, 0)
+            for key in [
+                'emails_delivered',
+                'emails_requested',
+                'emails_failed',
+                'sms_requested',
+                'sms_delivered',
+                'sms_failed'
+            ]
+        },
+        delivery_statistics
+    )
 
-    latest_stats.update({
-        'emails_failure_rate': (
-            "{0:.1f}".format((float(today['emails_failed']) / today['emails_requested'] * 100))
-            if today and today['emails_requested'] else 0
+    return dict(
+        emails_failure_rate=(
+            "{0:.1f}".format((float(sum_of_statistics['emails_failed']) / sum_of_statistics['emails_requested'] * 100))
+            if sum_of_statistics.get('emails_requested') else 0
         ),
-        'sms_failure_rate': (
-            "{0:.1f}".format((float(today['sms_failed']) / today['sms_requested'] * 100))
-            if today and today['sms_requested'] else 0
-        )
-    })
-
-    return latest_stats
+        sms_failure_rate=(
+            "{0:.1f}".format((float(sum_of_statistics['sms_failed']) / sum_of_statistics['sms_requested'] * 100))
+            if sum_of_statistics.get('sms_requested') else 0
+        ),
+        **sum_of_statistics
+    )
 
 
 def aggregate_usage(template_statistics):