c8a5366484
- tasks run hourly - uses celery beat to schedule the tasks 4 new tasks - delete verify codes (after 1 day) - delete invitations (after 1 day) - delete successful notifications (after 1 day) - delete failed notifications (after 7 days) Delete methods in the DAO classes
notifications-api
Notifications api Application for the notification api.
Read and write notifications/status queue. Get and update notification status.
Setting Up
mkvirtualenv -p /usr/local/bin/python3 notifications-api
Creating the environment.sh file. Replace [unique-to-environment] with your something unique to the environment. The local development environments are using the AWS on preview.
Create a local environment.sh file containing the following:
echo "
export NOTIFY_API_ENVIRONMENT='config.Development'
export ADMIN_BASE_URL='http://localhost:6012'
export ADMIN_CLIENT_SECRET='dev-notify-secret-key'
export ADMIN_CLIENT_USER_NAME='dev-notify-admin'
export AWS_REGION='eu-west-1'
export DANGEROUS_SALT='dev-notify-salt'
export FIRETEXT_API_KEY=[contact team member for api key]
export FIRETEXT_NUMBER="Firetext"
export INVITATION_EMAIL_FROM='invites@notifications.service.gov.uk'
export INVITATION_EXPIRATION_DAYS=2
export NOTIFY_EMAIL_DOMAIN='notify.works'
export NOTIFY_JOB_QUEUE='[unique-to-environment]-notify-jobs-queue' # NOTE unique prefix
export NOTIFICATION_QUEUE_PREFIX='[unique-to-environment]-notification_development' # NOTE unique prefix
export SECRET_KEY='dev-notify-secret-key'
export SQLALCHEMY_DATABASE_URI = 'postgresql://localhost/notification_api'
export TWILIO_ACCOUNT_SID=[contact team member for account sid]
export TWILIO_AUTH_TOKEN=[contact team member for auth token]
export VERIFY_CODE_FROM_EMAIL_ADDRESS='no-reply@notify.works'
"> environment.sh
NOTE: the DELIVERY_CLIENT_USER_NAME, DELIVERY_CLIENT_SECRET, NOTIFY_JOB_QUEUE and NOTIFICATION_QUEUE_PREFIX must be the same as the ones in the notifications-delivery app. The SECRET_KEY and DANGEROUS_SALT are the same in notifications-delivery and notifications-admin app.
NOTE: Also note the unique prefix for the queue names. This prevents clashing with others queues in shared amazon environment and using a prefix enables filtering by queue name in the SQS interface.
To run the application
You need to run the api application and a local celery instance.
There are two run scripts for running all the necessary parts.
scripts/run_app.sh
scripts/run_celery.sh