mirror of
https://github.com/GSA/notifications-api.git
synced 2026-09-07 14:18:24 -04:00
merge from main
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@@ -1,16 +1,17 @@
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from datetime import timedelta
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from flask import current_app
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from sqlalchemy import between, select, union, update
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from sqlalchemy import between, select
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from sqlalchemy.exc import SQLAlchemyError
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from app import db, notify_celery, zendesk_client
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from app import notify_celery, zendesk_client
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from app.celery.tasks import (
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get_recipient_csv_and_template_and_sender_id,
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process_incomplete_jobs,
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process_job,
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process_row,
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)
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from app.clients.cloudwatch.aws_cloudwatch import AwsCloudwatchClient
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from app.config import QueueNames
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from app.dao.invited_org_user_dao import (
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delete_org_invitations_created_more_than_two_days_ago,
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@@ -18,10 +19,14 @@ from app.dao.invited_org_user_dao import (
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from app.dao.invited_user_dao import expire_invitations_created_more_than_two_days_ago
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from app.dao.jobs_dao import (
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dao_set_scheduled_jobs_to_pending,
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dao_update_job,
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find_jobs_with_missing_rows,
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find_missing_row_for_job,
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)
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from app.dao.notifications_dao import notifications_not_yet_sent
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from app.dao.notifications_dao import (
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dao_update_delivery_receipts,
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notifications_not_yet_sent,
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)
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from app.dao.services_dao import (
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dao_find_services_sending_to_tv_numbers,
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dao_find_services_with_high_failure_rates,
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@@ -31,6 +36,7 @@ from app.enums import JobStatus, NotificationType
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from app.models import Job
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from app.notifications.process_notifications import send_notification_to_queue
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from app.utils import utc_now
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from notifications_utils import aware_utcnow
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from notifications_utils.clients.zendesk.zendesk_client import NotifySupportTicket
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MAX_NOTIFICATION_FAILS = 10000
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@@ -94,40 +100,41 @@ def check_job_status():
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select
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from jobs
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where job_status == 'in progress'
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and processing started between 30 and 35 minutes ago
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and processing started some time ago
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OR where the job_status == 'pending'
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and the job scheduled_for timestamp is between 30 and 35 minutes ago.
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and the job scheduled_for timestamp is some time ago.
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if any results then
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update the job_status to 'error'
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process the rows in the csv that are missing (in another task) just do the check here.
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"""
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thirty_minutes_ago = utc_now() - timedelta(minutes=30)
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thirty_five_minutes_ago = utc_now() - timedelta(minutes=35)
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START_MINUTES = 245
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END_MINUTES = 240
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end_minutes_ago = utc_now() - timedelta(minutes=END_MINUTES)
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start_minutes_ago = utc_now() - timedelta(minutes=START_MINUTES)
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incomplete_in_progress_jobs = select(Job).where(
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Job.job_status == JobStatus.IN_PROGRESS,
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between(Job.processing_started, thirty_five_minutes_ago, thirty_minutes_ago),
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between(Job.processing_started, start_minutes_ago, end_minutes_ago),
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)
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incomplete_pending_jobs = select(Job).where(
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Job.job_status == JobStatus.PENDING,
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Job.scheduled_for.isnot(None),
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between(Job.scheduled_for, thirty_five_minutes_ago, thirty_minutes_ago),
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between(Job.scheduled_for, start_minutes_ago, end_minutes_ago),
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)
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jobs_not_complete_after_30_minutes = db.session.execute(
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union(incomplete_in_progress_jobs, incomplete_pending_jobs).order_by(
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Job.processing_started, Job.scheduled_for
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)
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).all()
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jobs_not_complete_after_allotted_time = (
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incomplete_in_progress_jobs.union(incomplete_pending_jobs)
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.order_by(Job.processing_started, Job.scheduled_for)
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.all()
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)
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# temporarily mark them as ERROR so that they don't get picked up by future check_job_status tasks
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# if they haven't been re-processed in time.
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job_ids = []
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for job in jobs_not_complete_after_30_minutes:
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db.session.execute(
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update(Job).where(Job.id == job.id).values(job_status=JobStatus.ERROR)
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)
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db.session.commit()
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for job in jobs_not_complete_after_allotted_time:
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job.job_status = JobStatus.ERROR
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dao_update_job(job)
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job_ids.append(str(job.id))
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job_ids.append(str(job.id))
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if job_ids:
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@@ -171,9 +178,7 @@ def check_for_missing_rows_in_completed_jobs():
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for row_to_process in missing_rows:
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row = recipient_csv[row_to_process.missing_row]
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current_app.logger.info(
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"Processing missing row: {} for job: {}".format(
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row_to_process.missing_row, job.id
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)
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f"Processing missing row: {row_to_process.missing_row} for job: {job.id}"
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)
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process_row(row, template, job, job.service, sender_id=sender_id)
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@@ -233,3 +238,45 @@ def check_for_services_with_high_failure_rates_or_sending_to_tv_numbers():
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technical_ticket=True,
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)
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zendesk_client.send_ticket_to_zendesk(ticket)
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@notify_celery.task(
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bind=True, max_retries=7, default_retry_delay=3600, name="process-delivery-receipts"
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)
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def process_delivery_receipts(self):
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"""
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Every eight minutes or so (see config.py) we run this task, which searches the last ten
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minutes of logs for delivery receipts and batch updates the db with the results. The overlap
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is intentional. We don't mind re-updating things, it is better than losing data.
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We also set this to retry with exponential backoff in the case of failure. The only way this would
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fail is if, for example the db went down, or redis filled causing the app to stop processing. But if
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it does fail, we need to go back over at some point when things are running again and process those results.
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"""
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try:
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batch_size = 1000 # in theory with postgresql this could be 10k to 20k?
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cloudwatch = AwsCloudwatchClient()
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cloudwatch.init_app(current_app)
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start_time = aware_utcnow() - timedelta(minutes=10)
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end_time = aware_utcnow()
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delivered_receipts, failed_receipts = cloudwatch.check_delivery_receipts(
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start_time, end_time
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)
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delivered_receipts = list(delivered_receipts)
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for i in range(0, len(delivered_receipts), batch_size):
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batch = delivered_receipts[i : i + batch_size]
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dao_update_delivery_receipts(batch, True)
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failed_receipts = list(failed_receipts)
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for i in range(0, len(failed_receipts), batch_size):
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batch = failed_receipts[i : i + batch_size]
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dao_update_delivery_receipts(batch, False)
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except Exception as ex:
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retry_count = self.request.retries
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wait_time = 3600 * 2**retry_count
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try:
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raise self.retry(ex=ex, countdown=wait_time)
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except self.MaxRetriesExceededError:
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current_app.logger.error(
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"Failed process delivery receipts after max retries"
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)
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