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| 1 | +name: Deploy to Amazon ECR & EC2 |
| 2 | + |
| 3 | +on: |
| 4 | + push: |
| 5 | + branches: [ main ] |
| 6 | + |
| 7 | +env: |
| 8 | + AWS_REGION: ap-northeast-2 |
| 9 | + ECR_REPOSITORY: intune-chat-repo |
| 10 | + CONTAINER_NAME: intune-chat |
| 11 | + EC2_INSTANCE_IDS: "i-08100c71ecc821618,i-07ee03b6f1f176e41" |
| 12 | + DOCKER_RUN_ARGS: >- |
| 13 | + -p 8081:8081 |
| 14 | + --restart unless-stopped |
| 15 | +
|
| 16 | +jobs: |
| 17 | + deploy: |
| 18 | + name: Build → Push(ECR) → Deploy(EC2 Private) |
| 19 | + runs-on: ubuntu-latest |
| 20 | + environment: production |
| 21 | + |
| 22 | + steps: |
| 23 | + - name: Checkout |
| 24 | + uses: actions/checkout@v4 |
| 25 | + |
| 26 | + - name: Configure AWS credentials |
| 27 | + uses: aws-actions/configure-aws-credentials@0e613a0980cbf65ed5b322eb7a1e075d28913a83 |
| 28 | + with: |
| 29 | + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} |
| 30 | + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} |
| 31 | + aws-region: ${{ env.AWS_REGION }} |
| 32 | + |
| 33 | + - name: Login to Amazon ECR |
| 34 | + id: login-ecr |
| 35 | + uses: aws-actions/amazon-ecr-login@62f4f872db3836360b72999f4b87f1ff13310f3a |
| 36 | + |
| 37 | + - name: Build, tag, and push image to Amazon ECR |
| 38 | + id: build-image |
| 39 | + env: |
| 40 | + ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }} |
| 41 | + IMAGE_TAG: ${{ github.sha }} |
| 42 | + run: | |
| 43 | + set -euo pipefail |
| 44 | + docker build -t "$ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:$IMAGE_TAG" . |
| 45 | + docker push "$ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:$IMAGE_TAG" |
| 46 | + echo "image=$ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:$IMAGE_TAG" >> "$GITHUB_OUTPUT" |
| 47 | + |
| 48 | + # === 여기부터 Private EC2로 배포(SSM RunCommand) === |
| 49 | + - name: Build SSM command script |
| 50 | + id: ssm-script |
| 51 | + env: |
| 52 | + AWS_REGION: ${{ env.AWS_REGION }} |
| 53 | + ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }} |
| 54 | + IMAGE_URI: ${{ steps.build-image.outputs.image }} |
| 55 | + CONTAINER_NAME: ${{ env.CONTAINER_NAME }} |
| 56 | + DOCKER_RUN_ARGS: ${{ env.DOCKER_RUN_ARGS }} |
| 57 | + run: | |
| 58 | + set -euo pipefail |
| 59 | + cat > deploy.sh <<'EOF' |
| 60 | + #!/usr/bin/env bash |
| 61 | + set -euo pipefail |
| 62 | + |
| 63 | + echo "[1/5] ECR 로그인" |
| 64 | + aws ecr get-login-password --region "${AWS_REGION}" \ |
| 65 | + | docker login --username AWS --password-stdin "${ECR_REGISTRY}" |
| 66 | + |
| 67 | + echo "[2/5] 새 이미지 Pull: ${IMAGE_URI}" |
| 68 | + docker pull "${IMAGE_URI}" |
| 69 | + |
| 70 | + echo "[3/5] 기존 컨테이너 정리: ${CONTAINER_NAME}" |
| 71 | + # 동일 이름 컨테이너가 있으면 중지/삭제 |
| 72 | + if docker ps -a --format '{{.Names}}' | grep -wq "${CONTAINER_NAME}"; then |
| 73 | + docker rm -f "${CONTAINER_NAME}" || true |
| 74 | + fi |
| 75 | + |
| 76 | + echo "[4/5] 오래된 이미지 가비지 정리(선택)" |
| 77 | + docker image prune -f || true |
| 78 | + |
| 79 | + echo "[5/5] 새 컨테이너 기동" |
| 80 | + docker run -d --name "${CONTAINER_NAME}" ${DOCKER_RUN_ARGS} "${IMAGE_URI}" |
| 81 | + |
| 82 | + echo "DONE" |
| 83 | + EOF |
| 84 | + |
| 85 | + python3 - <<'PY' |
| 86 | +import json |
| 87 | +script = open('deploy.sh','r',encoding='utf-8').read() |
| 88 | + |
| 89 | +cmd = ["bash","-lc", script] |
| 90 | +print(f"commands={json.dumps(cmd)}") |
| 91 | +PY >> $GITHUB_OUTPUT |
| 92 | + |
| 93 | + - name: Send SSM RunCommand to EC2 (by InstanceIds or by Tag) |
| 94 | + id: ssm-deploy |
| 95 | + run: | |
| 96 | + set -euo pipefail |
| 97 | + |
| 98 | + TARGETS_JSON="[]" |
| 99 | + if [ -n "${{ env.EC2_INSTANCE_IDS }}" ]; then |
| 100 | + |
| 101 | + # InstanceId로 지정 |
| 102 | + IFS=',' read -ra IDS <<< "${{ env.EC2_INSTANCE_IDS }}" |
| 103 | + ARR="" |
| 104 | + for id in "${IDS[@]}"; do |
| 105 | + ARR="${ARR}{\"Key\":\"InstanceIds\",\"Values\":[\"$id\"]}," |
| 106 | + done |
| 107 | + TARGETS_JSON="["${ARR%,}"]" |
| 108 | + elif [ -n "${{ env.EC2_TAG_KEY || '' }}" ] && [ -n "${{ env.EC2_TAG_VALUE || '' }}" ]; then |
| 109 | + # 태그로 지정 |
| 110 | + TARGETS_JSON=$(cat <<JSON |
| 111 | + [ |
| 112 | + {"Key":"tag:${{ env.EC2_TAG_KEY }}","Values":["${{ env.EC2_TAG_VALUE }}"]} |
| 113 | + ] |
| 114 | + JSON |
| 115 | + ) |
| 116 | + else |
| 117 | + echo "EC2 타깃(EC2_INSTANCE_IDS 또는 EC2_TAG_KEY/EC2_TAG_VALUE)을 설정하세요." >&2 |
| 118 | + exit 1 |
| 119 | + fi |
| 120 | + |
| 121 | + aws ssm send-command \ |
| 122 | + --document-name "AWS-RunShellScript" \ |
| 123 | + --comment "Pull from ECR and restart container" \ |
| 124 | + --targets "${TARGETS_JSON}" \ |
| 125 | + --parameters '{"commands": '${{ steps.ssm-script.outputs.commands }}'}' \ |
| 126 | + --timeout-seconds 1800 \ |
| 127 | + --max-concurrency "1" \ |
| 128 | + --max-errors "0" \ |
| 129 | + --region "${{ env.AWS_REGION }}" \ |
| 130 | + --output json > send-command.json |
| 131 | + |
| 132 | + COMMAND_ID=$(jq -r '.Command.CommandId' send-command.json) |
| 133 | + echo "command-id=${COMMAND_ID}" >> "$GITHUB_OUTPUT" |
| 134 | + |
| 135 | + - name: Wait for SSM command to finish |
| 136 | + run: | |
| 137 | + set -euo pipefail |
| 138 | + COMMAND_ID="${{ steps.ssm-deploy.outputs.command-id }}" |
| 139 | + echo "Waiting for SSM Command $COMMAND_ID ..." |
| 140 | + # 간단 폴링 |
| 141 | + for i in $(seq 1 120); do |
| 142 | + STATUS=$(aws ssm list-commands --command-id "$COMMAND_ID" --query "Commands[0].Status" --output text --region "${{ env.AWS_REGION }}") |
| 143 | + echo "SSM Status: $STATUS" |
| 144 | + case "$STATUS" in |
| 145 | + Success) exit 0 ;; |
| 146 | + Failed|Cancelled|TimedOut) echo "SSM failed: $STATUS"; exit 1 ;; |
| 147 | + esac |
| 148 | + sleep 5 |
| 149 | + done |
| 150 | + echo "Timeout waiting SSM command" |
| 151 | + exit 1 |
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