Refactor CI/CD workflow to deploy to Azure services, including Azure Container Registry, App Service, Functions, Kubernetes, Cognitive Services, Monitoring, and DevOps integration. Update deployment steps and notifications for Azure-specific processes.

This commit is contained in:
defiQUG
2025-08-06 06:07:47 +00:00
parent f037297e90
commit cab539b9cb

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@@ -118,8 +118,8 @@ jobs:
run: |
echo "Production deployment completed successfully"
docker:
name: Build and Push Docker Image
azure-container-registry:
name: Build and Push to Azure Container Registry
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
@@ -129,23 +129,169 @@ jobs:
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Login to Docker Hub
uses: docker/login-action@v2
- name: Login to Azure
uses: azure/login@v1
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: Build and push Docker image
- name: Login to Azure Container Registry
uses: azure/docker-login@v1
with:
login-server: ${{ secrets.ACR_LOGIN_SERVER }}
username: ${{ secrets.ACR_USERNAME }}
password: ${{ secrets.ACR_PASSWORD }}
- name: Build and push container image
uses: docker/build-push-action@v4
with:
context: .
push: true
tags: |
nowyouseeme/nowyouseeme:${{ github.ref_name }}
nowyouseeme/nowyouseeme:latest
${{ secrets.ACR_LOGIN_SERVER }}/nowyouseeme:${{ github.ref_name }}
${{ secrets.ACR_LOGIN_SERVER }}/nowyouseeme:latest
cache-from: type=gha
cache-to: type=gha,mode=max
- name: Deploy to Azure Container Instances
run: |
# Deploy to Azure Container Instances
az container create \
--resource-group ${{ secrets.AZURE_RESOURCE_GROUP }} \
--name nowyouseeme-${{ github.ref_name }} \
--image ${{ secrets.ACR_LOGIN_SERVER }}/nowyouseeme:${{ github.ref_name }} \
--dns-name-label nowyouseeme-${{ github.ref_name }} \
--ports 8000 \
--environment-variables \
DATABASE_URL=${{ secrets.DATABASE_URL }} \
REDIS_URL=${{ secrets.REDIS_URL }} \
JWT_SECRET_KEY=${{ secrets.JWT_SECRET_KEY }}
azure-app-service:
name: Deploy to Azure App Service
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
- name: Checkout code
uses: actions/checkout@v4
- 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
- name: Deploy to Azure App Service
uses: azure/webapps-deploy@v2
with:
app-name: ${{ secrets.AZURE_APP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: .
azure-functions:
name: Deploy to Azure Functions
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Azure Functions Core Tools
uses: Azure/functions-action@v1
with:
app-name: ${{ secrets.AZURE_FUNCTION_APP_NAME }}
- name: Deploy to Azure Functions
run: |
func azure functionapp publish ${{ secrets.AZURE_FUNCTION_APP_NAME }}
azure-kubernetes:
name: Deploy to Azure Kubernetes Service
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Login to Azure
uses: azure/login@v1
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: Get AKS credentials
run: |
az aks get-credentials \
--resource-group ${{ secrets.AZURE_RESOURCE_GROUP }} \
--name ${{ secrets.AKS_CLUSTER_NAME }}
- name: Deploy to AKS
run: |
# Apply Kubernetes manifests
kubectl apply -f k8s/
# Update deployment with new image
kubectl set image deployment/nowyouseeme \
nowyouseeme=${{ secrets.ACR_LOGIN_SERVER }}/nowyouseeme:${{ github.ref_name }}
azure-cognitive-services:
name: Deploy ML Models to Azure Cognitive Services
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
- name: Checkout code
uses: actions/checkout@v4
- 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 azure-cognitiveservices-vision-customvision
- name: Deploy ML models
run: |
# Deploy custom vision models
python scripts/deploy_ml_models.py \
--endpoint ${{ secrets.AZURE_CUSTOM_VISION_ENDPOINT }} \
--key ${{ secrets.AZURE_CUSTOM_VISION_KEY }} \
--project-id ${{ secrets.AZURE_CUSTOM_VISION_PROJECT_ID }}
azure-monitoring:
name: Setup Azure Monitoring
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Login to Azure
uses: azure/login@v1
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: Setup Application Insights
run: |
# Create Application Insights resource
az monitor app-insights component create \
--app ${{ secrets.APP_INSIGHTS_NAME }} \
--location ${{ secrets.AZURE_LOCATION }} \
--resource-group ${{ secrets.AZURE_RESOURCE_GROUP }} \
--application-type web
- name: Setup Log Analytics
run: |
# Create Log Analytics workspace
az monitor log-analytics workspace create \
--resource-group ${{ secrets.AZURE_RESOURCE_GROUP }} \
--workspace-name ${{ secrets.LOG_ANALYTICS_WORKSPACE }}
publish-pypi:
name: Publish to PyPI
runs-on: ubuntu-latest
@@ -172,20 +318,43 @@ jobs:
with:
password: ${{ secrets.PYPI_API_TOKEN }}
azure-devops-integration:
name: Azure DevOps Integration
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Azure DevOps
uses: azure/login@v1
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- name: Create Azure DevOps work items
run: |
# Create work items for tracking
az boards work-items create \
--organization ${{ secrets.AZURE_DEVOPS_ORG }} \
--project ${{ secrets.AZURE_DEVOPS_PROJECT }} \
--type "Release" \
--title "Release ${{ github.ref_name }}" \
--description "Automated release for version ${{ github.ref_name }}"
notify:
name: Notify Team
runs-on: ubuntu-latest
if: always()
needs: [release, deploy-production, docker, publish-pypi]
needs: [release, deploy-production, azure-container-registry, azure-app-service, azure-functions, azure-kubernetes, azure-cognitive-services, azure-monitoring, azure-devops-integration, publish-pypi]
steps:
- name: Notify on success
if: success()
run: |
echo "All deployment steps completed successfully"
echo "All Azure deployment steps completed successfully"
# Add your notification logic here (Slack, Discord, etc.)
- name: Notify on failure
if: failure()
run: |
echo "Deployment failed"
echo "Azure deployment failed"
# Add your failure notification logic here