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Instructions for automating your file upload in a Linux environment
Instructions for automating your file upload in a Linux environment

Learn how to set up your SIS integration by following the steps below.

Shannon Desmond avatar
Written by Shannon Desmond
Updated this week

Here's how to set it up

Step 1: Setup & Prerequisites

We'll be using AWS Linux CLI interface for this tutorial. If you don't have a Linux environment, please contact us for support.

If you already have python you can install with the following, see here for more details.

pip install --upgrade --user awscli

If you don't have python, you can install using the bundled installer

curl "" -o ""
#with sudo
sudo ./awscli-bundle/install -i /usr/local/aws -b /usr/local/bin/aws
#without sudo (assumes ~/bin is in your PATH)
./awscli-bundle/install -b ~/bin/aws

Step 2: Configure CLI

If you don't already have your credentials, please contact uConnect support, Unless otherwise instructed by the uConnect team, you should use โ€œus-east-1โ€ as your region.

Next run the following and enter in your AWS Access Key and Secret Key

aws configure
AWS Access Key ID [****************JRTA]:
AWS Secret Access Key [****************RZ7O]:
Default region name [us-east-1]:
Default output format [None]:

Step 3: Upload Your First File

Now you're ready to upload your file to uConnect!

Upload Syntax

aws s3 cp [/path/your_local_file] s3://YOURUNIQUEBUCKET/student_feed.csv

The AWS S3 API will respond with the document ID if the file was successfully transferred, otherwise it will respond with an error. You can also check the command exit code to determine it was successful.

If you wish to do a test run, simply send a file and our support team will verify that it is received and correct.

Step 4: Scheduling your Regular Upload

After you've validated everything looks good, we recommend using cron to schedule the upload.

Pick a weekly, monthly, or semesterly date to do your upload, in general the format is:

+---------------- minute (0 - 59)
| +------------- hour (0 - 23)
| | +---------- day of month (1 - 31)
| | | +------- month (1 - 12)
| | | | +---- day of week (0 - 6) (Sunday=0 or 7)
| | | | |
* * * * * command to be executed


5 8 * * Sat aws s3 cp [/path/your_local_file] s3://YOURUNIQUEBUCKET/student_feed.csv

Now, you're all set! If you have any questions, please submit a support request.

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