Once you've configured the Amazon CLI tool and have successfully sent a file over via AWS, these submissions can be automated - meaning, they will be automatically processed after a successful analysis. This is something that must be enabled by Handshake Support, so you'll need to reach out here to have this enabled (if you haven't already).
If you've already contacted Support to enable autorun, but your files still require manual submission, there are a few reasons why this may be occurring. Make sure to check your file for the following scenarios to ensure that autorun is working as expected:
1) Your file name contains the word "test" or "sample".
We will never process a job (manual or AWS) that contains 'test' or 'sample' in the name. You can include either of these words in your filename if you'd like to test the file format for analysis errors, but will need to remove these words when you are ready to submit your file for processing.
2) 10% or more of the email addresses in your file do not contain the domain for your institution. This includes generic @gmail, etc.
If you need to sync personal emails in your AWS uploads, please reach out to Support here to allow these emails to be included in your automated uploads moving forward.
3) 10% or more of the email addresses included in your file are .edu email domains that belong to a different institution on Handshake.
We do not allow for non-owned .edu emails to be uploaded via the Importer, to prevent incorrect account provisioning. If there is a .edu email address that should be permitted in your uploads that is not currently included under your institution's Importer account, please reach out to Support to add this on your behalf.
4) 20% or more of the students in your file have disabled set to TRUE.
This is a precautionary measure set in place to ensure that a large portion of your students are not unintentionally disabled. Files of this nature can still be processed, but will require you to log into your Importer account and manually select 'request run' at the bottom of the job's overview page.
5) Any yellow warnings or red error messages BESIDES the following checks: