Files
lpt-ai/.gitea/workflows/deploy.yml
T

50 lines
1.4 KiB
YAML

name: lpt-ai Build & Deploy
on:
workflow_dispatch:
inputs:
environment:
description: '部署环境'
required: true
type: choice
options:
- dev
- prod
env:
REGISTRY: 192.168.123.199:5000
APP: lpt-ai
REPO_URL: http://git.cat-shark.xyz/cat-shark/lpt-ai.git
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout code
run: |
git clone $REPO_URL .
git checkout ${{ github.sha }}
- name: Build & Push Docker image
run: |
apt-get update -qq
apt-get install -y -qq docker.io
TAG=${{ github.sha }}
docker build -t $REGISTRY/$APP:$TAG -t $REGISTRY/$APP:${{ inputs.environment }} .
docker push $REGISTRY/$APP:$TAG
docker push $REGISTRY/$APP:${{ inputs.environment }}
- name: Setup kubectl
run: |
curl -sLO "https://dl.k8s.io/release/v1.36.0/bin/linux/amd64/kubectl"
chmod +x kubectl
mv kubectl /usr/local/bin/
mkdir -p ~/.kube
echo "${{ secrets.KUBECONFIG_B64 }}" | base64 -d > ~/.kube/config
- name: Deploy to K8s
run: |
TAG=${{ github.sha }}
kubectl set image deployment/$APP $APP=$REGISTRY/$APP:$TAG -n lpt-${{ inputs.environment }}
kubectl rollout status deployment/$APP -n lpt-${{ inputs.environment }}