Rename to performance_dashboard

Fix totals to return totals for all time rather than for date range.
Added more test data

app/performance_platform/performance_platform_schema.py

@@ -1,10 +0,0 @@
-performance_platform_request = {
-    "$schema": "http://json-schema.org/draft-04/schema#",
-    "description": "Performance platform request schema",
-    "type": "object",
-    "title": "Performance platform request",
-    "properties": {
-        "start_date": {"type": ["string", "null"], "format": "date"},
-        "end_date": {"type": ["string", "null"], "format": "date"},
-    }
-}

app/performance_platform/rest.py

@@ -1,85 +0,0 @@
-from datetime import datetime
-
-from flask import Blueprint, request, jsonify
-
-from app.dao.fact_notification_status_dao import get_total_notifications_for_date_range
-from app.dao.fact_processing_time_dao import get_processing_time_percentage_for_date_range
-from app.dao.services_dao import get_live_services_with_organisation
-from app.errors import register_errors
-from app.performance_platform.performance_platform_schema import performance_platform_request
-from app.schema_validation import validate
-
-performance_platform_blueprint = Blueprint('performance_platform', __name__, url_prefix='/performance-platform')
-
-register_errors(performance_platform_blueprint)
-
-
-@performance_platform_blueprint.route('')
-def get_performance_platform():
-    # All statistics are as of last night this matches the existing performance platform
-    # and avoids the need to query notifications.
-    if request.args:
-        # Is it ok to reuse this? - should probably create a new one
-        validate(request.args, performance_platform_request)
-
-    # If start and end date are not set, we are expecting today's stats.
-    today = str(datetime.utcnow().date())
-
-    start_date = datetime.strptime(request.args.get('start_date', today), '%Y-%m-%d').date()
-    end_date = datetime.strptime(request.args.get('end_date', today), '%Y-%m-%d').date()
-    results = get_total_notifications_for_date_range(start_date=start_date, end_date=end_date)
-    total_notifications, emails, sms, letters = transform_results_into_totals(results)
-    processing_time_results = get_processing_time_percentage_for_date_range(start_date=start_date, end_date=end_date)
-    services = get_live_services_with_organisation()
-    stats = {
-        "total_notifications": total_notifications,
-        "email_notifications": emails,
-        "sms_notifications": sms,
-        "letter_notifications": letters,
-        "notifications_by_type": transform_results_to_json(results),
-        "processing_time": transform_processing_time_results_to_json(processing_time_results),
-        "live_service_count": len(services),
-        "services_using_notify": transform_services_to_json(services)
-
-    }
-
-    return jsonify(stats)
-
-
-def transform_results_into_totals(results):
-    total_notifications = 0
-    emails = 0
-    sms = 0
-    letters = 0
-    for x in results:
-        total_notifications += x.emails
-        total_notifications += x.sms
-        total_notifications += x.letters
-        emails += x.emails
-        sms += x.sms
-        letters += x.letters
-    return total_notifications, emails, sms, letters
-
-
-def transform_results_to_json(results):
-    j = []
-    for x in results:
-        j.append({"date": x.bst_date, "emails": x.emails, "sms": x.sms, "letters": x.letters})
-    return j
-
-
-def transform_processing_time_results_to_json(results):
-    j = []
-    for x in results:
-        j.append({"date": x.date, "percentage_under_10_seconds": round(x.percentage, 1)})
-
-    return j
-
-
-def transform_services_to_json(results):
-    j=[]
-    for x in results:
-        j.append({"service_id": x.service_id, "service_name": x.service_name,
-                  "organisation_id": x.organisation_id, "organisation_name": x.organisation_name}
-                 )
-    return j