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Change-Id: I95ca3434b80e3f1f3d817b33be8656db244c320c
244 lines
11 KiB
YAML
244 lines
11 KiB
YAML
name: Deploy to Humanitec
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on:
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workflow_run:
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workflows: ["Build and Push to ACR"]
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types:
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- completed
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branches: [ dev, staging, prod ]
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workflow_dispatch:
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inputs:
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environment:
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description: 'Target environment'
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required: true
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default: 'dev'
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type: choice
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options:
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- dev
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- staging
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- prod
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concurrency:
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group: -deploy-humanitec
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cancel-in-progress: true
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env:
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APP_ID: test-for-174--015
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PROJECT_ID: cjot-platform
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AZURE_FEDERATED_TOKEN_FILE: /var/run/secrets/azure/tokens/azure-identity-token
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DEFAULT_ENV_ID: dev
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jobs:
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deploy:
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name: Deploy to Humanitec
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runs-on: ubuntu-latest
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if: >-
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(github.event_name == 'workflow_run' && github.event.workflow_run.conclusion == 'success') ||
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(github.event_name == 'workflow_dispatch' && github.ref != 'refs/heads/main')
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permissions:
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contents: read
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id-token: write
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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# No `ref:` override — Gitea's act_runner mangles inline expressions in
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# `with:` inputs. For workflow_run events this checks out main (the
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# default branch), which is correct: score.yaml and other platform files
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# live on main. The image SHA is resolved separately below.
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- name: Install CLI tools
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run: |
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# jq (needed for github API call)
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command -v jq &>/dev/null || (apt-get update -qq && apt-get install -y -qq jq)
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# hctl (Humanitec Platform Orchestrator v2 CLI)
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HCTL_VERSION=$(curl -s https://api.github.com/repos/humanitec/hctl/releases/latest | jq -r '.tag_name')
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curl -fLO "https://github.com/humanitec/hctl/releases/download/${HCTL_VERSION}/hctl_${HCTL_VERSION#v}_linux_amd64.tar.gz"
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tar -xzf "hctl_${HCTL_VERSION#v}_linux_amd64.tar.gz"
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install -m 755 hctl /usr/local/bin/hctl
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hctl --version
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echo "✓ Tools installed"
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- name: Install Azure CLI
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run: command -v az &>/dev/null || curl -sL https://aka.ms/InstallAzureCLIDeb | bash
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- name: Azure login (OIDC)
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run: |
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az login \
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--service-principal \
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--username "$AZURE_CLIENT_ID" \
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--tenant "$AZURE_TENANT_ID" \
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--federated-token "$(cat $AZURE_FEDERATED_TOKEN_FILE)"
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echo "✓ Azure login successful"
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- name: Get image reference
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id: image
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run: |
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ACR_LOGIN_SERVER=$(az acr list --query "[0].loginServer" -o tsv)
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# Read the dev-branch SHA from the event payload. Using $GITHUB_EVENT_PATH
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# avoids act_runner expression mangling in with: inputs. The checkout
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# above is on main (platform files); we still need the dev SHA for the
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# image tag that was built and pushed by build-push.yml.
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SHA=$(python3 -c "import json,os; e=json.load(open(os.environ['GITHUB_EVENT_PATH'])); print(e.get('workflow_run',{}).get('head_sha') or '')" 2>/dev/null || true)
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if [ -z "$SHA" ]; then SHA=$(git rev-parse HEAD); fi
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echo "IMAGE_FULL=${ACR_LOGIN_SERVER}/test-for-174--015:${SHA}" >> $GITHUB_ENV
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echo "✓ Image: ${ACR_LOGIN_SERVER}/test-for-174--015:${SHA}"
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- name: Set environment
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id: set-env
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run: |
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if [ "${{ gitea.event_name }}" = "workflow_dispatch" ]; then
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ENV_ID="${{ gitea.event.inputs.environment }}"
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else
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# Derive from the branch that triggered the upstream build-push run.
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# workflow_run.head_branch carries 'dev', 'staging', or 'prod'.
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BRANCH="${{ github.event.workflow_run.head_branch }}"
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case "$BRANCH" in
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staging) ENV_ID="staging" ;;
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prod) ENV_ID="prod" ;;
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*) ENV_ID="$DEFAULT_ENV_ID" ;;
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esac
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fi
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ENV_ID="${ENV_ID:-dev}"
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echo "ENV_ID=$ENV_ID" >> $GITHUB_OUTPUT
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echo "ENV_ID=$ENV_ID" >> $GITHUB_ENV
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echo "✓ Target environment: $ENV_ID"
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- name: Get Humanitec credentials from Key Vault
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run: |
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HUMANITEC_TOKEN=$(az keyvault secret show \
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--vault-name "bstage-cjot-dev-core-kv" \
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--name "humanitec-api-token-v2" \
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--query "value" -o tsv)
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[ -z "$HUMANITEC_TOKEN" ] && echo "❌ Failed to retrieve HUMANITEC_TOKEN" && exit 1
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echo "HUMANITEC_AUTH_TOKEN=$HUMANITEC_TOKEN" >> $GITHUB_ENV
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HUMANITEC_ORG=$(az keyvault secret show \
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--vault-name "bstage-cjot-dev-core-kv" \
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--name "humanitec-org-id" \
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--query "value" -o tsv)
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[ -z "$HUMANITEC_ORG" ] && echo "❌ Failed to retrieve HUMANITEC_ORG" && exit 1
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echo "HUMANITEC_ORG=$HUMANITEC_ORG" >> $GITHUB_ENV
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echo "✓ Credentials retrieved"
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- name: Deploy via Humanitec Score
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run: |
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# Pre-flight: wait for any prior deployment to finish before calling hctl.
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# hctl refuses to start a new deployment while one is still executing.
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echo "Pre-flight: checking for in-progress deployments..."
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PREFLIGHT_WAITED=0
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while [ $PREFLIGHT_WAITED -lt 300 ]; do
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PREFLIGHT_STATUS=$(curl -sf \
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-H "Authorization: Bearer $HUMANITEC_AUTH_TOKEN" \
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"https://api.humanitec.dev/orgs/$HUMANITEC_ORG/last-deployments?env_id=$ENV_ID&project_id=$PROJECT_ID&state_change_only=true" \
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| jq -r '.items[0].status // "none"' 2>/dev/null || echo "none")
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if [ "$PREFLIGHT_STATUS" != "in progress" ] && [ "$PREFLIGHT_STATUS" != "pending" ] && [ "$PREFLIGHT_STATUS" != "executing" ]; then
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echo "Pre-flight passed (status=$PREFLIGHT_STATUS). Proceeding."
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break
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fi
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echo " Prior deployment still running ($PREFLIGHT_WAITED s elapsed, status=$PREFLIGHT_STATUS)..."
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sleep 15
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PREFLIGHT_WAITED=$((PREFLIGHT_WAITED + 15))
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done
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# First deploy — provisions all resources. On a brand-new Humanitec project the
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# dns-k8s-ingress Terraform module runs before the K8s Service exists, so the
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# ingress backend port falls back to 3000. A second deploy (below) corrects it
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# once the Service is up, which is essential for apps not running on port 3000.
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HCTL_EXIT=0
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timeout 300 hctl score deploy "$PROJECT_ID" "$ENV_ID" score.yaml \
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--no-prompt \
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--default-image "$IMAGE_FULL" || HCTL_EXIT=$?
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if [ "$HCTL_EXIT" -eq 0 ]; then
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echo "✓ First deployment complete to $ENV_ID"
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elif [ "$HCTL_EXIT" -eq 124 ]; then
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echo "✓ First deployment submitted (polling timed out — waiting for K8s to settle)"
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else
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echo "✗ hctl failed with exit code $HCTL_EXIT"
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exit $HCTL_EXIT
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fi
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# Poll Humanitec API until the first deployment is no longer in-progress before
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# re-deploying. A flat sleep is unreliable — Terraform DNS modules can take 4-6 min.
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echo "Waiting for first deployment to finish (polling Humanitec API)..."
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MAX_WAIT=360
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WAITED=0
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while [ $WAITED -lt $MAX_WAIT ]; do
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DEPLOY_STATUS=$(curl -sf \
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-H "Authorization: Bearer $HUMANITEC_AUTH_TOKEN" \
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"https://api.humanitec.dev/orgs/$HUMANITEC_ORG/last-deployments?env_id=$ENV_ID&project_id=$PROJECT_ID&state_change_only=true" \
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| jq -r '.items[0].status // "unknown"' 2>/dev/null || echo "unknown")
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if [ "$DEPLOY_STATUS" != "in progress" ] && [ "$DEPLOY_STATUS" != "pending" ] && [ "$DEPLOY_STATUS" != "executing" ]; then
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echo "First deployment finished with status: $DEPLOY_STATUS"
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break
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fi
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echo " Still running ($WAITED s elapsed, status=$DEPLOY_STATUS)..."
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sleep 15
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WAITED=$((WAITED + 15))
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done
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if [ $WAITED -ge $MAX_WAIT ]; then
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echo "Warning: first deployment still running after $MAX_WAIT s — proceeding anyway"
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fi
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# Second deploy — dns module now reads the real K8s Service port, fixing the
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# ingress backend. This is a no-op for apps already routed correctly (e.g. port 3000).
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HCTL_EXIT2=0
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timeout 120 hctl score deploy "$PROJECT_ID" "$ENV_ID" score.yaml \
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--no-prompt \
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--default-image "$IMAGE_FULL" || HCTL_EXIT2=$?
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if [ "$HCTL_EXIT2" -eq 0 ]; then
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echo "✓ Deployment finalised to $ENV_ID"
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elif [ "$HCTL_EXIT2" -eq 124 ]; then
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echo "✓ Second deployment submitted (polling timed out)"
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else
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echo "✗ Second hctl deploy failed with exit code $HCTL_EXIT2"
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exit $HCTL_EXIT2
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fi
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- name: Deployment Summary
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run: |
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DEPLOY_URL="https://console.humanitec.dev/orgs/${HUMANITEC_ORG}/projects/$APP_ID"
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echo "### 🚀 Deployment Complete" >> $GITHUB_STEP_SUMMARY
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echo "| | |" >> $GITHUB_STEP_SUMMARY
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echo "|---|---|" >> $GITHUB_STEP_SUMMARY
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echo "| **Service** | $APP_ID |" >> $GITHUB_STEP_SUMMARY
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echo "| **Environment** | $ENV_ID |" >> $GITHUB_STEP_SUMMARY
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echo "| **Image** | $IMAGE_FULL |" >> $GITHUB_STEP_SUMMARY
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echo "| **Humanitec** | [$DEPLOY_URL]($DEPLOY_URL) |" >> $GITHUB_STEP_SUMMARY
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- name: OTel traffic warmup (dev only)
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if: env.ENV_ID == 'dev'
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run: |
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SERVICE=$(grep '^service:' .platform/config.yaml | sed 's/^service: //' | tr -d ' \r')
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HEALTH_PATH=$(grep '^health_path:' .platform/config.yaml | sed 's/^health_path: //' | tr -d ' \r')
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HEALTH_PATH="${HEALTH_PATH:-/health}"
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APP_URL="https://${SERVICE}.kyndemo.live"
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echo "Waiting for ${APP_URL}${HEALTH_PATH} to be live (up to 120s)..."
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HTTP_CODE="000"
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DEADLINE=$(($(date +%s) + 120))
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while [ $(date +%s) -lt $DEADLINE ]; do
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HTTP_CODE=$(curl -sk -o /dev/null -w "%{http_code}" --max-time 5 "${APP_URL}${HEALTH_PATH}" || echo "000")
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[ "$HTTP_CODE" = "200" ] && echo "✓ App live at ${APP_URL}" && break
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echo " waiting... (HTTP $HTTP_CODE)"; sleep 5
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done
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if [ "$HTTP_CODE" != "200" ]; then
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echo "App did not come live within 120s — skipping OTel warmup"
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exit 0
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fi
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# Send a burst of requests across common paths to generate OTel spans/metrics.
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# All runtimes expose /health; the remaining paths are best-effort (404s still
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# produce spans and are counted by the OTel HTTP instrumentation).
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echo "Sending traffic burst (50 requests) to generate OTel telemetry..."
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PATHS=("${HEALTH_PATH}" "/" "/api" "/api/status" "/api/health" "${HEALTH_PATH}" "/" "/api")
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SUCCESS=0; TOTAL=0
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for i in $(seq 1 7); do
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for RPATH in "${PATHS[@]}"; do
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CODE=$(curl -sk -o /dev/null -w "%{http_code}" --max-time 5 "${APP_URL}${RPATH}" || echo "000")
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TOTAL=$((TOTAL + 1))
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case "$CODE" in 2*|3*) SUCCESS=$((SUCCESS + 1)) ;; esac
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done
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sleep 1
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done
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echo "✓ Warmup complete: ${SUCCESS}/${TOTAL} 2xx/3xx — OTel spans visible in Grafana within ~30s"
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echo "| **OTel warmup** | ${SUCCESS}/${TOTAL} requests → ${APP_URL} |" >> $GITHUB_STEP_SUMMARY
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