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adding project initilization workflow #8

adding project initilization workflow

adding project initilization workflow #8

Workflow file for this run

name: Deploy to Cloudzilla
on:
push:
branches: [main]
workflow_dispatch:
env:
IMAGE_PREFIX: registry.cloudzilla.ai/lens-project-71fcfdc4/
jobs:
build-push:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Log in to the Container registry
uses: docker/login-action@v3
with:
registry: https://registry.cloudzilla.ai/
username: 'robot$lens-project-71fcfdc4+imageuser'
password: '${{ secrets.DOCKER_PASSWORD }}'
- name: downcase REPO
run: |
image="${GITHUB_REPOSITORY#*/}"
echo "IMAGE_NAME=${image,,}" >>${GITHUB_ENV}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.IMAGE_PREFIX }}${{ env.IMAGE_NAME }}
- name: Put down .env file
run: |
echo "writing .env file..."
echo "# This file is generated or updated by the cloudzilla deploy workflow" >> .env
# remove duplicates keeping the items at the bottom of the file
tac .env | awk -F'=' '!seen[$1]++' | tac > .env.tmp2 && mv .env.tmp2 .env
- name: Build and push Docker image
uses: docker/build-push-action@v5
with:
context: .
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
- name: Deploy on Section
env:
SECTION_K8S_API_URL: '${{ secrets.SECTION_K8S_API_URL }}'
SECTION_API_TOKEN: '${{ secrets.SECTION_API_TOKEN }}'
DOCKER_SERVER: 'registry.cloudzilla.ai'
DOCKER_USERNAME: 'robot$lens-project-71fcfdc4+imageuser'
DOCKER_PASSWORD: '${{ secrets.DOCKER_PASSWORD }}'
FULL_IMAGE_WITH_TAG: '${{ env.DOCKER_METADATA_OUTPUT_TAGS }}'
POD_NAME: '${{ env.IMAGE_NAME }}'
DEBUG: 1
run: |
#!/bin/bash
test -z "${DEBUG}" || set -o xtrace
set -o errexit
cd "$(dirname "$0")"
cert=/etc/ssl/certs/ca-certificates.crt
main() {
setCluster
kubectl create secret generic console-project-env-secret --from-env-file=${GITHUB_WORKSPACE}/.env --dry-run=client -o yaml | kubectl apply -f -
kubectl create secret docker-registry regcred --docker-server="${DOCKER_SERVER}" --docker-username="${DOCKER_USERNAME}" --docker-password="${DOCKER_PASSWORD}" --dry-run=client -o yaml | kubectl apply -f -
kubectl apply -f ${GITHUB_WORKSPACE}/k8s/ingress-upstream.yaml
envsubst '$FULL_IMAGE_WITH_TAG $POD_NAME' < ${GITHUB_WORKSPACE}/k8s/deploy.yaml | kubectl apply -f -
kubectl rollout restart deployment "section-project-deployment"
}
setCluster() {
# Configure kubectl to talk to Section
# change the cert path depending on OS.
if [[ "$OSTYPE" == "darwin"* ]]; then
cert=/usr/local/etc/ca-certificates/cert.pem
fi
kubectl config set-cluster section \
--server=$SECTION_K8S_API_URL \
--certificate-authority=$cert
kubectl config set-credentials section-user --token=$SECTION_API_TOKEN
kubectl config set-context my-section-application --cluster=section --user=section-user --namespace=default
kubectl config use-context my-section-application
kubectl version
}
main
"$@"