mirror of
https://github.com/GSA/notifications-api.git
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Previous: assumed discrepancy in stats counts to be related to timeouts Now: If discrepancy exists do the math on the notifications for that job to work out counts based on statuses to redo stats.
148 lines
4.7 KiB
Python
148 lines
4.7 KiB
Python
from datetime import datetime, timedelta
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from itertools import groupby
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from flask import current_app
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from sqlalchemy import func
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from sqlalchemy.exc import IntegrityError, SQLAlchemyError
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from app import db
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from app.dao.dao_utils import transactional
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from app.models import (
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JobStatistics,
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Notification,
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EMAIL_TYPE,
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SMS_TYPE,
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LETTER_TYPE,
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NOTIFICATION_STATUS_TYPES_FAILED,
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NOTIFICATION_DELIVERED,
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NOTIFICATION_SENT)
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from app.statsd_decorators import statsd
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@transactional
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def timeout_job_counts(notifications_type, timeout_start):
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total_updated = 0
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sent = columns(notifications_type, 'sent')
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delivered = columns(notifications_type, 'delivered')
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failed = columns(notifications_type, 'failed')
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results = db.session.query(
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JobStatistics.job_id.label('job_id'),
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func.count(Notification.status).label('count'),
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Notification.status.label('status')
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).filter(
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JobStatistics.job_id == Notification.job_id,
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JobStatistics.created_at < timeout_start,
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sent != failed + delivered
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).group_by(Notification.status, JobStatistics.job_id).order_by(JobStatistics.job_id).all()
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sort = sorted(results, key=lambda result: result.job_id)
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groups = []
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for k, g in groupby(sort, key=lambda result: result.job_id):
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groups.append(list(g))
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for job in groups:
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sent_count = 0
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delivered_count = 0
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failed_count = 0
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for notification_status in job:
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if notification_status.status in [NOTIFICATION_DELIVERED, NOTIFICATION_SENT]:
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delivered_count += notification_status.count
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else:
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failed_count += notification_status.count
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sent_count += notification_status.count
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total_updated += JobStatistics.query.filter_by(
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job_id=notification_status.job_id
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).update({
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sent: sent_count,
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failed: failed_count,
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delivered: delivered_count
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}, synchronize_session=False)
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return total_updated
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@statsd(namespace="dao")
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def dao_timeout_job_statistics(timeout_period):
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timeout_start = datetime.utcnow() - timedelta(seconds=timeout_period)
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sms_count = timeout_job_counts(SMS_TYPE, timeout_start)
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email_count = timeout_job_counts(EMAIL_TYPE, timeout_start)
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return sms_count + email_count
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@statsd(namespace="dao")
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def create_or_update_job_sending_statistics(notification):
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if __update_job_stats_sent_count(notification) == 0:
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try:
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__insert_job_stats(notification)
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except IntegrityError as e:
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current_app.logger.exception(e)
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if __update_job_stats_sent_count(notification) == 0:
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raise SQLAlchemyError("Failed to create job statistics for {}".format(notification.job_id))
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@transactional
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def __update_job_stats_sent_count(notification):
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column = columns(notification.notification_type, 'sent')
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return db.session.query(JobStatistics).filter_by(
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job_id=notification.job_id,
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).update({
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column: column + 1
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})
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@transactional
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def __insert_job_stats(notification):
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stats = JobStatistics(
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job_id=notification.job_id,
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emails_sent=1 if notification.notification_type == EMAIL_TYPE else 0,
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sms_sent=1 if notification.notification_type == SMS_TYPE else 0,
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letters_sent=1 if notification.notification_type == LETTER_TYPE else 0,
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updated_at=datetime.utcnow()
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)
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db.session.add(stats)
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def columns(notification_type, status):
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keys = {
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EMAIL_TYPE: {
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'failed': JobStatistics.emails_failed,
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'delivered': JobStatistics.emails_delivered,
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'sent': JobStatistics.emails_sent
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},
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SMS_TYPE: {
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'failed': JobStatistics.sms_failed,
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'delivered': JobStatistics.sms_delivered,
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'sent': JobStatistics.sms_sent
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},
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LETTER_TYPE: {
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'failed': JobStatistics.letters_failed,
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'sent': JobStatistics.letters_sent
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}
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}
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return keys.get(notification_type).get(status)
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@transactional
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def update_job_stats_outcome_count(notification):
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if notification.status in NOTIFICATION_STATUS_TYPES_FAILED:
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column = columns(notification.notification_type, 'failed')
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elif notification.status in [NOTIFICATION_DELIVERED,
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NOTIFICATION_SENT] and notification.notification_type != LETTER_TYPE:
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column = columns(notification.notification_type, 'delivered')
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else:
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column = None
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if column:
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return db.session.query(JobStatistics).filter_by(
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job_id=notification.job_id,
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).update({
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column: column + 1
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})
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else:
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return 0
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