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11d10d5293
Fix totals to return totals for all time rather than for date range. Added more test data
87 lines
3.4 KiB
Python
87 lines
3.4 KiB
Python
from datetime import datetime
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from flask import Blueprint, request, jsonify
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from app.dao.fact_notification_status_dao import get_total_notifications_for_date_range
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from app.dao.fact_processing_time_dao import get_processing_time_percentage_for_date_range
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from app.dao.services_dao import get_live_services_with_organisation
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from app.errors import register_errors
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from app.performance_dashboard.performance_dashboard_schema import performance_dashboard_request
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from app.schema_validation import validate
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performance_dashboard_blueprint = Blueprint('performance_dashboard', __name__, url_prefix='/performance-dashboard')
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register_errors(performance_dashboard_blueprint)
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@performance_dashboard_blueprint.route('')
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def get_performance_dashboard():
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# All statistics are as of last night this matches the existing performance platform
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# and avoids the need to query notifications.
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if request.args:
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# Is it ok to reuse this? - should probably create a new one
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validate(request.args, performance_dashboard_request)
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# If start and end date are not set, we are expecting today's stats.
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today = str(datetime.utcnow().date())
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start_date = datetime.strptime(request.args.get('start_date', today), '%Y-%m-%d').date()
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end_date = datetime.strptime(request.args.get('end_date', today), '%Y-%m-%d').date()
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total_for_all_time = get_total_notifications_for_date_range(start_date=None, end_date=None)
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total_notifications, emails, sms, letters = transform_results_into_totals(total_for_all_time)
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totals_for_date_range = get_total_notifications_for_date_range(start_date=start_date, end_date=end_date)
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processing_time_results = get_processing_time_percentage_for_date_range(start_date=start_date, end_date=end_date)
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services = get_live_services_with_organisation()
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stats = {
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"total_notifications": total_notifications,
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"email_notifications": emails,
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"sms_notifications": sms,
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"letter_notifications": letters,
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"notifications_by_type": transform_into_notification_by_type_json(totals_for_date_range),
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"processing_time": transform_processing_time_results_to_json(processing_time_results),
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"live_service_count": len(services),
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"services_using_notify": transform_services_to_json(services)
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}
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return jsonify(stats)
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def transform_results_into_totals(total_notifications_results):
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total_notifications = 0
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emails = 0
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sms = 0
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letters = 0
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for x in total_notifications_results:
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total_notifications += x.emails
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total_notifications += x.sms
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total_notifications += x.letters
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emails += x.emails
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sms += x.sms
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letters += x.letters
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return total_notifications, emails, sms, letters
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def transform_into_notification_by_type_json(total_notifications):
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j = []
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for x in total_notifications:
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j.append({"date": x.bst_date, "emails": x.emails, "sms": x.sms, "letters": x.letters})
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return j
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def transform_processing_time_results_to_json(processing_time_results):
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j = []
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for x in processing_time_results:
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j.append({"date": x.date, "percentage_under_10_seconds": round(x.percentage, 1)})
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return j
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def transform_services_to_json(services_results):
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j = []
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for x in services_results:
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j.append({"service_id": x.service_id, "service_name": x.service_name,
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"organisation_id": x.organisation_id, "organisation_name": x.organisation_name}
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)
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return j
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