Move user retirement scripts code from the tubular repo

.github/workflows/units-test-scripts-user-retirement.yml

@@ -0,0 +1,33 @@
+name: units-test-scripts-user-retirement
+
+on:
+  pull_request:
+  push:
+    branches:
+      - master
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+
+    strategy:
+      matrix:
+        python-version: [ '3.8' ]
+
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r scripts/user_retirement/requirements/testing.txt
+
+      - name: Run pytest
+        run: |
+          pytest scripts/user_retirement

Makefile

@@ -137,7 +137,9 @@ REQ_FILES = \
 	requirements/edx/development \
 	requirements/edx/assets \
 	requirements/edx/semgrep \
-	scripts/xblock/requirements
+	scripts/xblock/requirements \
+	scripts/user_retirement/requirements/base \
+	scripts/user_retirement/requirements/testing
 
 define COMMON_CONSTRAINTS_TEMP_COMMENT
 # This is a temporary solution to override the real common_constraints.txt\n# In edx-lint, until the pyjwt constraint in edx-lint has been removed.\n# See BOM-2721 for more details.\n# Below is the copied and edited version of common_constraints\n

scripts/user_retirement/README.rst

@@ -0,0 +1,100 @@
+User Retirement Scripts
+=======================
+
+`This <https://github.com/openedx/edx-platform/tree/master/scripts/user_retirement>`_ directory contains python scripts which are migrated from the `tubular <https://github.com/openedx/tubular/tree/master/scripts>`_ respository. 
+These scripts are intended to drive the user retirement workflow which involves handling the deactivation or removal of user accounts as part of the platform's management process.
+
+These scripts could be called from any automation/CD framework.
+
+How to run the scripts
+======================
+
+Download the Scripts
+--------------------
+
+To download the scripts, you can perform a partial clone of the edx-platform repository to obtain only the required scripts. The following steps demonstrate how to achieve this. Alternatively, you may choose other utilities or libraries for the partial clone.
+
+.. code-block:: bash
+
+    [email protected]:openedx/edx-platform.git
+    branch=master
+    directory=scripts/user_retirement
+
+    git clone --branch $branch --single-branch --depth=1 --filter=tree:0 $repo_url
+    cd edx-platform
+    git sparse-checkout init --cone
+    git sparse-checkout set $directory
+
+Create Python Virtual Environment
+---------------------------------
+
+Create a Python virtual environment using Python 3.8:
+
+.. code-block:: bash
+
+    python3.8 -m venv ../venv
+    source ../venv/bin/activate
+
+Install Pip Packages
+--------------------
+
+Install the required pip packages using the provided requirements file:
+
+.. code-block:: bash
+
+    pip install -r scripts/user_retirement/requirements/base.txt
+
+In-depth Documentation and Configuration Steps
+----------------------------------------------
+
+For in-depth documentation and essential configurations follow these docs
+
+`Documentation <https://edx.readthedocs.io/projects/edx-installing-configuring-and-running/en/latest/configuration/user_retire/index.html>`_
+
+`Configuration Docs <https://edx.readthedocs.io/projects/edx-installing-configuring-and-running/en/latest/configuration/user_retire/driver_setup.html>`_
+
+
+Execute Script
+--------------
+
+Execute the following shell command to establish entry points for the scripts
+
+.. code-block:: bash
+
+    chmod +x scripts/user_retirement/entry_points.sh
+    source scripts/user_retirement/entry_points.sh
+
+To retire a specific learner, you can use the provided example script:
+
+.. code-block:: bash
+
+    retire_one_learner.py \
+    --config_file=src/config.yml \
+    --username=user1
+
+Make sure to replace ``src/config.yml`` with the actual path to your configuration file and ``user1`` with the actual username.
+
+You can also execute Python scripts directly using the file path:
+
+.. code-block:: bash
+
+    python scripts/user_retirement/retire_one_learner.py \
+    --config_file=src/config.yml \
+    --username=user1
+
+Feel free to customize these steps according to your specific environment and requirements.
+
+Run Test Cases
+==============
+
+Before running test cases, install the testing requirements:
+
+.. code-block:: bash
+
+    pip install -r scripts/user_retirement/requirements/testing.txt
+
+Run the test cases using pytest:
+
+.. code-block:: bash
+
+    pytest scripts/user_retirement

scripts/user_retirement/entry_points.sh

@@ -0,0 +1,7 @@
+#!/usr/bin/env bash
+alias get_learners_to_retire.py='python scripts/user_retirement/get_learners_to_retire.py'
+alias replace_usernames.py='python scripts/user_retirement/replace_usernames.py'
+alias retire_one_learner.py='python scripts/user_retirement/retire_one_learner.py'
+alias retirement_archive_and_cleanup.py='python scripts/user_retirement/retirement_archive_and_cleanup.py'
+alias retirement_bulk_status_update.py='python scripts/user_retirement/retirement_bulk_status_update.py'
+alias retirement_partner_report.py='python scripts/user_retirement/retirement_partner_report.py'

scripts/user_retirement/get_learners_to_retire.py

@@ -0,0 +1,105 @@
+#! /usr/bin/env python3
+
+"""
+Command-line script to retrieve list of learners that have requested to be retired.
+The script calls the appropriate LMS endpoint to get this list of learners.
+"""
+
+import io
+import logging
+import sys
+from os import path
+
+import click
+import yaml
+
+# Add top-level project path to sys.path before importing scripts code
+sys.path.append(path.abspath(path.join(path.dirname(__file__), '../..')))
+
+from scripts.user_retirement.utils.edx_api import LmsApi
+from scripts.user_retirement.utils.jenkins import export_learner_job_properties
+
+logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
+LOG = logging.getLogger(__name__)
+
+
+@click.command("get_learners_to_retire")
+@click.option(
+    '--config_file',
+    help='File in which YAML config exists that overrides all other params.'
+)
+@click.option(
+    '--cool_off_days',
+    help='Number of days a learner should be in the retirement queue before being actually retired.',
+    default=7
+)
+@click.option(
+    '--output_dir',
+    help="Directory in which to write the Jenkins properties files.",
+    default='./jenkins_props'
+)
+@click.option(
+    '--user_count_error_threshold',
+    help="If more users than this number are returned we will error out instead of retiring. This is a failsafe"
+         "against attacks that somehow manage to add users to the retirement queue.",
+    default=300
+)
+@click.option(
+    '--max_user_batch_size',
+    help="This setting will only get at most X number of users. If this number is lower than the user_count_error_threshold"
+         "setting then it will not error.",
+    default=200
+)
+def get_learners_to_retire(config_file,
+                           cool_off_days,
+                           output_dir,
+                           user_count_error_threshold,
+                           max_user_batch_size):
+    """
+    Retrieves a JWT token as the retirement service user, then calls the LMS
+    endpoint to retrieve the list of learners awaiting retirement.
+    """
+    if not config_file:
+        click.echo('A config file is required.')
+        sys.exit(-1)
+
+    with io.open(config_file, 'r') as config:
+        config_yaml = yaml.safe_load(config)
+
+    user_count_error_threshold = int(user_count_error_threshold)
+    cool_off_days = int(cool_off_days)
+
+    client_id = config_yaml['client_id']
+    client_secret = config_yaml['client_secret']
+    lms_base_url = config_yaml['base_urls']['lms']
+    retirement_pipeline = config_yaml['retirement_pipeline']
+    end_states = [state[1] for state in retirement_pipeline]
+    states_to_request = ['PENDING'] + end_states
+
+    api = LmsApi(lms_base_url, lms_base_url, client_id, client_secret)
+
+    # Retrieve the learners to retire and export them to separate Jenkins property files.
+    learners_to_retire = api.learners_to_retire(states_to_request, cool_off_days, max_user_batch_size)
+    if max_user_batch_size:
+        learners_to_retire = learners_to_retire[:max_user_batch_size]
+    learners_to_retire_cnt = len(learners_to_retire)
+
+    if learners_to_retire_cnt > user_count_error_threshold:
+        click.echo(
+            'Too many learners to retire! Expected {} or fewer, got {}!'.format(
+                user_count_error_threshold,
+                learners_to_retire_cnt
+            )
+        )
+        sys.exit(-1)
+
+    export_learner_job_properties(
+        learners_to_retire,
+        output_dir
+    )
+
+
+if __name__ == "__main__":
+    # pylint: disable=unexpected-keyword-arg, no-value-for-parameter
+    # If using env vars to provide params, prefix them with "RETIREMENT_", e.g. RETIREMENT_CLIENT_ID
+    get_learners_to_retire(auto_envvar_prefix='RETIREMENT')