Setting Up the User Retirement Driver Scripts#
scripts/user_retirement is a directory of Python scripts designed to plug into various automation tooling. It also contains readme file having details of how to run the scripts. Included in this directory are two scripts intended to drive the user retirement workflow.
get_learners_to_retire.pyGenerates a list of users that are ready for immediate retirement. Users are “ready” after a certain number of days spent in the
PENDINGstate, specified by the--cool_off_daysargument. Produces an output intended for consumption by Jenkins in order to spawn separate downstream builds for each user.retire_one_learner.pyRetires the user specified by the
--usernameargument.
These two scripts share a required --config_file argument, which specifies
the driver configuration file for your environment (for example, production).
This configuration file is a YAML file that contains LMS auth secrets, API URLs,
and retirement pipeline stages specific to that environment. Here is an example
of a driver configuration file.
client_id: <client ID for the retirement service user>
client_secret: <client secret for the retirement service user>
base_urls:
lms: https://courses.example.com/
ecommerce: https://ecommerce.example.com/
credentials: https://credentials.example.com/
retirement_pipeline:
- ['RETIRING_EMAIL_LISTS', 'EMAIL_LISTS_COMPLETE', 'LMS', 'retirement_retire_mailings']
- ['RETIRING_ENROLLMENTS', 'ENROLLMENTS_COMPLETE', 'LMS', 'retirement_unenroll']
- ['RETIRING_LMS_MISC', 'LMS_MISC_COMPLETE', 'LMS', 'retirement_lms_retire_misc']
- ['RETIRING_LMS', 'LMS_COMPLETE', 'LMS', 'retirement_lms_retire']
The client_id and client_secret keys contain the oauth credentials.
These credentials are simply copied from the output of the
create_dot_application management command described in
Retirement Service User.
The base_urls section in the configuration file defines the mappings of
IDA to base URLs used by the scripts to construct API URLs. Only the LMS is
mandatory here, but if any of your pipeline states contain API calls to other
services, those services must also be present in the base_urls section.
The retirement_pipeline section defines the steps, state names, and order
of execution for each environment. Each item is a list in the form of:
Start state name
End state name
IDA to call against (LMS, ECOMMERCE, or CREDENTIALS currently)
Method name to call in edx_api.py
For example: ['RETIRING_CREDENTIALS', 'CREDENTIALS_COMPLETE', 'CREDENTIALS',
'retire_learner'] will set the user’s state to RETIRING_CREDENTIALS, call
a pre-instantiated retire_learner method in the CredentialsApi, then set
the user’s state to CREDENTIALS_COMPLETE.
Examples#
The following are some examples of how to use the driver scripts.
Set Up Environment#
Follow this readme to set up your execution environment.
List of Targeted Learners#
Generate a list of learners that are ready for retirement (those learners who
have selected and confirmed account deletion and have been in the PENDING
state for the time specified cool_off_days).
mkdir learners_to_retire
get_learners_to_retire.py \
--config_file=path/to/config.yml \
--output_dir=learners_to_retire \
--cool_off_days=5
Run Retirement Script#
After running these commands, the learners_to_retire directory contains
several INI files, each containing a single line in the form of USERNAME
=<username-of-learner>. Iterate over these files while executing the
retire_one_learner.py script on each learner with a command like the following.
retire_one_learner.py \
--config_file=path/to/config.yml \
--username=<username-of-learner-to-retire>