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ML Pipeline CI/CD

ML Pipeline CI/CD #53

Workflow file for this run

name: ML Pipeline CI/CD
on:
push:
branches: [main, develop]
pull_request:
branches: [main]
schedule:
- cron: '0 2 * * *' # Daily at 2 AM
env:
AWS_REGION: us-east-1
PYTHON_VERSION: '3.9'
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: ${{ env.PYTHON_VERSION }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install -r requirements-dev.txt
- name: Run tests
run: |
pytest tests/ -v --cov=src --cov-report=xml
- name: Upload coverage
uses: codecov/codecov-action@v3
with:
file: ./coverage.xml
build:
needs: test
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v3
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v2
with:
role-to-assume: ${{ secrets.AWS_ROLE_ARN }}
aws-region: ${{ env.AWS_REGION }}
- name: Login to Amazon ECR
id: login-ecr
uses: aws-actions/amazon-ecr-login@v1
- name: Build and push Docker images
env:
ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
IMAGE_TAG: ${{ github.sha }}
run: |
# Build training image
docker build -t $ECR_REGISTRY/ml-training:$IMAGE_TAG -f docker/training/Dockerfile .
docker push $ECR_REGISTRY/ml-training:$IMAGE_TAG
# Build inference image
docker build -t $ECR_REGISTRY/ml-inference:$IMAGE_TAG -f docker/inference/Dockerfile .
docker push $ECR_REGISTRY/ml-inference:$IMAGE_TAG
deploy:
needs: build
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v3
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v2
with:
role-to-assume: ${{ secrets.AWS_ROLE_ARN }}
aws-region: ${{ env.AWS_REGION }}
- name: Deploy SageMaker Pipeline
run: |
pip install sagemaker boto3
python pipelines/sagemaker/pipeline.py