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test

test #76

Workflow file for this run

name: CD Pipeline
on:
push:
branches: [ "main", "feature/mlflow" ]
jobs:
publish:
runs-on: ubuntu-latest
steps:
- name: Checkout Code
uses: actions/checkout@main
- name: Login to GitHub Packages
uses: docker/login-action@v1
with:
registry: docker.pkg.github.com
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Build and Push Docker Image
uses: docker/build-push-action@v2
with:
context: .
file: ./Dockerfile
push: true
tags: docker.pkg.github.com/${{ github.repository }}/api:${{ github.sha }}
deploy:
needs: publish
runs-on: ubuntu-latest
steps:
- name: Checkout Code
uses: actions/checkout@v2
- name: Connect Deploy Key
uses: cloudtype-github-actions/connect@v1
with:
token: ${{ secrets.CLOUDTYPE_TOKEN }}
ghtoken: ${{ secrets.GHP_TOKEN }}
- name: Deploy to Cloudtype
uses: cloudtype-github-actions/deploy@v1
with:
token: ${{ secrets.CLOUDTYPE_TOKEN }}
project: toy_lab/review_generator
stage: main
yaml: >
name: ml-pipe-project
app: dockerfile
options:
image: ghcr.io/${{ github.repository }}/api:${{ github.sha }}
ports: 4000 5000
commands: >-
poetry run python src/app.py &
poetry run mlflow server --host 0.0.0.0 --backend-store-uri /tmp/mlruns --no-server-artifacts &
context:
git:
url: [email protected]:${{ github.repository }}.git
ref: ${{ github.ref }}