Data Drift Monitoring and Model Retraining Workflow #12

	name: Data Drift Monitoring and Model Retraining Workflow

	on:
	schedule:
	- cron: '0 0 28-31 * *'
	workflow_dispatch:

	jobs:
	Data_Drift_Monitoring_and_Model_Retraining:
	runs-on: ubuntu-latest
	steps:
	- name: Checkout Repository
	uses: actions/checkout@v2

	- name: Set up Python
	uses: actions/setup-python@v2
	with:
	python-version: 3.11

	- name: Install dependencies
	run: \|
	python -m pip install --upgrade pip
	pip install -r requirements.txt

	- name: Set DSN secret
	run: echo "DSN=${{ secrets.DSN }}" >> $GITHUB_ENV

	- name: Run retraining script
	run: \|
	python py_scripts/data_drift_monitoring.py

	- name: Configure Git
	run: \|
	git config --local user.email "actions@github.com"
	git config --local user.name "GitHub Actions"

	- name: Check for Unstaged Changes
	run: \|
	if [[ -n "$(git status --porcelain)" ]]; then
	echo "There are unstaged changes. Committing ..."
	git add --all
	git commit -m "Automated commit to avoid unstaged changes before pull"
	else
	echo "No unstaged changes."
	fi

	- name: Pull and Rebase
	run: \|
	git pull origin main --rebase \|\| echo "No changes to rebase"

	- name: Commit Changes
	run: \|
	git diff --exit-code \|\| (git add --all && git commit -m "Monthly Data Drift Monitoring and Model Retraining")

	- name: Push Changes
	uses: ad-m/github-push-action@master
	with:
	github_token: ${{ secrets.PAT }}

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