This script will continuously monitor an XQueue to generate course certificates for users.

1. Create a new python virtualenv

   mkvirtualenv certificates

2. Clone the certificate repo

   git clone https://github.com/Stanford-Online/openedx-certificates.git

3. Clone the internal certificate repo for templates and private data (optional)

   git clone [email protected]:edx/edx-certificates-internal

4. Install the python requirements into the virtualenv

   pip install -r openedx-certificates/requirements.txt

5. In order to generate sample certificates that are uploaded to S3 you will need access to the verify-test bucket, create a ~/.boto file in your home directory

   [Credentials]
   aws_access_key_id = *****
   aws_secret_access_key = ****

   • Or for edX use the boto.example in the ${CERT_PRIVATE_DIR} repo:

     cp edx-certificates-internal/boto.example ~/.boto

6. Set an environment variable to point to the internal repo for certificate templates

   export CERT_PRIVATE_DIR=/path/to/edx-certificates-internal

7. In the edx-certificates directory generate a sample certificate:

   cd openedx-certificates
   python create_pdfs.py \
       --course-id 'course-v1:edX+DemoX+Demo_Course' \
       --name 'Guido' \
       --no-upload \
       ;

   • course-v1:edX+DemoX+Demo_Course should be a valid course id found in ${CERT_PRIVATE_DIR}

   • View all options with:

     python create_pdfs.py --help

The certificate_agent.py script will continuously monitor a queue for certificate generation, it does the following:

• Connect to the xqueue server
• Poll for a single certificate request
• If it finds one, it:
  • Processes the request
  • Post a results json back to the xqueue server

A global exception handler will catch any error during the certificate generation process and post a result back to the LMS via the xqueue server indicating there was a problem.

optional arguments:
  -h, --help         show this help message and exit
  --aws-id AWS_ID    AWS ID for write access to the S3 bucket
  --aws-key AWS_KEY  AWS KEY for write access to the S3 bucket

TODO

There is none. The v4 renderer should have complete Unicode support throughout, and as the template is generated programmatically it should be able to do everything you want it to. If it doesn't, PR a change to make it do it!

Some members of the Open edX community maintain multiple private modifications to the open source edX projects, and use a branching scheme similar to the one described by Giulio Gratta in this edX Eng blog post. If you have many changes to the code base, a system like this might help you stay organized. If, on the other hand you are only forking one template renderer, this may be too complex. Please do whatever works best for your site.

Logging is setup similar to Django logging, logsettings.py will generate a configuration dict for logging where in a production environment all log messages are sent through rsyslog

To run the test suite:

1. Configure your credential information in settings.py. You will need to specify:

    CERT_KEY_ID = # The id for the key which will be used by gpg to sign certificates
    CERT_AWS_ID = # Amazon Web Services ID
    CERT_AWS_KEY = # Amazon Web Services Key
    CERT_BUCKET = # Amazon Web Services S3 bucket name
   

   It is also acceptable to leave the AWS KEY and ID values as none and instead use .boto file or run this code from a server that has an IAM role that gives it write access to the bucket in the configuration.

2. To run all of the tests from the certificates directory, run:

    nosetests
   

   These are more integration tests than unit tests, and will be exercising your certificate configuration, your file pathing, and your S3 credentials. Some tests may fail, but the code may still be working properly; you'll have to investigate to discover what the failed test is diagnostic of. To run just the tests for local on-disk publishing run:

    nosetests tests.gen_cert_test:test_cert_gen
   

Troubleshooting:

• If tests fail with errors, try running:

  pip install -r requirements.txt

  to install necessary requirements.

• If your verification pages are wrong or gnupg starts throwing errors, you may not have gpg installed. See gnupg for help installing.

• If you run create_pdf.py and get unicode errors, you may need to set the LC_ALL environment variable. To set it permanently, like from your ~/.bashrc, try:

  export LC_ALL=en_US.UTF-8

  But if you only want to set it for one test run, you could say:

  LC_ALL=en_US.UTF-8 python ./create_pdf.py

• If you are running on a Linux virtual machine being hosted by MacOS, and your git checkout is being NFS mounted, you may have library import errors because of Mac case-folding semantic preservation by Python's pathlib. Try doing a git checkout inside the vm that isn't exported from MacOS.

• Paralellism - Certification should be embarassingly parallel, except we deal with xqueue, which lacks atomic pop(). If we ever refactor queue.py to use raw celery queues or similar, we should also actualize parallel certification.

• Freeing us from the tyranny of configuration preparation

• Kill XQueue - nobody really likes xqueue. Several ops people have expressed a desire to see it replaced by smarter intermediate layers that use celery task queues or similar. This repo should be sufficiently modular that only queue.py should need to be changed to work this way.