mirror of
https://github.com/GSA/notifications-api.git
synced 2025-12-15 17:52:26 -05:00
ff4190a8eb
This deletes a big ol' chunk of code related to letters. It's not everything—there are still a few things that might be tied to sms/email—but it's the the heart of letters function. SMS and email function should be untouched by this. Areas affected: - Things obviously about letters - PDF tasks, used for precompiling letters - Virus scanning, used for those PDFs - FTP, used to send letters to the printer - Postage stuff
88 lines
3.3 KiB
Python
88 lines
3.3 KiB
Python
from datetime import datetime
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from flask import Blueprint, jsonify, request
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from app.dao.fact_notification_status_dao import (
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get_total_notifications_for_date_range,
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)
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from app.dao.fact_processing_time_dao import (
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get_processing_time_percentage_for_date_range,
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)
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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 (
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performance_dashboard_request,
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)
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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 = 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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"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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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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emails += x.emails
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sms += x.sms
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return total_notifications, emails, sms
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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.local_date, "emails": x.emails, "sms": x.sms})
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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": x.percentage})
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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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