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Merged
23MinL merged 12 commits into from
Jul 16, 2025
Merged

Spring Boot AI 서비스 연동 502 에러 해결 #28

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410bd70
fix: Spring Boot AI 서비스 연동 502 에러 해결
23MinL Jul 15, 2025
c084cc5
refactor: AI 서비스를 별도 EC2로 분리하여 VPC 내부 통신 구현
23MinL Jul 15, 2025
cf50c42
fix: AI 서비스 배포 환경 설정 완료
23MinL Jul 15, 2025
914fdaa
fix: Docker 헬스체크 워크플로우 토큰 및 경로 수정
23MinL Jul 15, 2025
e60b805
fix: AI 서비스 배포 환경 설정
23MinL Jul 16, 2025
2a1f05c
refactor: Docker Compose 파일명을 AI 특화로 변경
23MinL Jul 16, 2025
77c39d5
refactor: CI/CD 및 Docker 구성 최적화
23MinL Jul 16, 2025
4828c77
fix: EC2 배포 시 작업 디렉토리 자동 생성
23MinL Jul 16, 2025
8d1e157
fix: Docker 헬스체크 설정 파일 경로 수정
23MinL Jul 16, 2025
817f786
fix : cicd 및 healthcheck main 브랜치에서 구동 수정
23MinL Jul 16, 2025
780b421
refactor: CI/CD 파이프라인에서 test job 제거
23MinL Jul 16, 2025
ada0611
fix: SSH 배포에서 GITHUB_SHA 환경변수 전달 개선
23MinL Jul 16, 2025
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258 changes: 131 additions & 127 deletions .github/workflows/ci-cd.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -2,66 +2,16 @@ name: CI/CD Pipeline

on:
push:
branches: [ main, develop, 'fix/*' ]
branches: [ main ]
pull_request:
branches: [ main, develop, 'fix/*' ]
branches: [ main ]

env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}

jobs:
test:
runs-on: ubuntu-latest

# 환경변수 설정
env:
ENVIRONMENT: development
DEBUG: true
LOG_LEVEL: INFO
GITHUB_ACTIONS: true

steps:
- name: Checkout Code
uses: actions/checkout@v4

- name: Setup Python Environment
uses: actions/setup-python@v5
with:
python-version: '3.11'

- name: Cache Dependencies
uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-

- name: Install Dependencies
run: |
python -m pip install --upgrade pip
# Install test tools first (including pytest-env)
pip install pytest==8.3.4 pytest-asyncio==0.25.0 pytest-env==1.1.5 flake8==7.1.1 black==25.1.0 isort==5.13.2
# Then install project dependencies
pip install -r requirements.txt

- name: Code Quality Check
run: |
# Check only critical syntax errors
flake8 app/ --count --select=E9,F63,F7,F82 --show-source --statistics
echo "Code quality check completed"

- name: Run Tests
run: |
export APP_NAME="Ururu AI Recommendation System"
export EMBEDDING_MODEL_NAME="sentence-transformers/all-MiniLM-L6-v2"
export EMBEDDING_DIMENSION="384"
python -m pytest tests/ -v --tb=short
continue-on-error: false

build-and-push:
needs: test
runs-on: ubuntu-latest
if: github.event_name == 'push'

Expand Down Expand Up @@ -94,63 +44,14 @@ jobs:
uses: docker/build-push-action@v5
with:
context: .
file: ./Dockerfile
file: ./docker/Dockerfile
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max

deploy-development:
needs: build-and-push
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/develop'
environment: development

steps:
- name: Checkout Code
uses: actions/checkout@v4

- name: Checkout Config Repository
uses: actions/checkout@v4
with:
repository: UruruLab/Ururu-AI-Config
path: config
token: ${{ secrets.PRIVATE_REPO_TOKEN }}

- name: Copy Development Environment Config Files
run: |
if compgen -G "config/.env*" > /dev/null; then
if [ -f "config/.env.development" ]; then
cp config/.env.development .env.development
echo "✅ Development environment config files copied successfully"
else
echo "❌ .env.development not found in config repository"
exit 1
fi
else
echo "❌ No config files found in config repository"
exit 1
fi

- name: Validate Docker Compose Configuration
run: |
echo "Validating development environment configuration files"
echo "Validating docker-compose.development.yml syntax"
ENVIRONMENT=development docker compose -f docker-compose.development.yml config --quiet
echo "Verifying environment variable bindings"
ENVIRONMENT=development docker compose -f docker-compose.development.yml config \
| grep -A 10 "environment:" \
| grep "^[[:space:]]*[[:alpha:]]" \
| sed 's/.*$/&<redacted>/' || true
echo "Development environment deployment preparation completed"

- name: Simulate Deployment (No actual EC2 deployment)
run: |
echo "Development environment deployment simulation"
echo "- Docker Image: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:develop"
echo "- Config File: .env.development (fetched from Config repository)"
echo "Development environment deployment configuration completed"
# Development 배포는 VPC 내부 통신에서 불필요하므로 제거

deploy-production:
needs: build-and-push
Expand All @@ -167,7 +68,7 @@ jobs:
with:
repository: UruruLab/Ururu-AI-Config
path: config
token: ${{ secrets.PRIVATE_REPO_TOKEN }}
token: ${{ secrets.GHCR_TOKEN }}

- name: Copy Production Environment Config Files
run: |
Expand All @@ -183,29 +84,132 @@ jobs:
echo "❌ No config files found in config repository"
exit 1
fi

- name: Validate Docker Compose Configuration
run: |
echo "Validating production environment configuration files"
echo "Validating docker-compose.production.yml syntax"
ENVIRONMENT=production docker compose -f docker-compose.production.yml config --quiet
echo "Verifying environment variable bindings"
ENVIRONMENT=production docker compose -f docker-compose.production.yml config \
| grep -A 10 "environment:" \
| grep "^[[:space:]]*[[:alpha:]]" \
| sed 's/.*$/&<redacted>/' || true
echo "Production environment deployment preparation completed"

- name: Prepare Deployment Notification
run: |
echo "Production environment deployment preparation completed"
echo "- Docker Image: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:latest"
echo "- Config File: .env.production (fetched from Config repository)"
echo "Actual EC2 deployment will be handled by separate process"
- name: Deploy to FastAPI Production EC2
uses: appleboy/ssh-action@v0.1.6
env:
GITHUB_SHA: ${{ github.sha }}
with:
host: ${{ secrets.AI_EC2_HOST }}
username: ${{ secrets.AI_EC2_USER }}
key: ${{ secrets.AI_EC2_SSH_KEY }}
port: 22
timeout: 600s
envs: GITHUB_SHA
script: |
set -e
echo "🚀 FastAPI AI 서비스 배포 시작"

# 기존 컨테이너 상태 확인
if docker ps | grep ururu-ai-service; then
echo "📊 기존 AI 서비스 로그 확인"
docker logs --tail 10 ururu-ai-service
fi

# 작업 디렉토리 생성 및 이동
mkdir -p /home/ec2-user/ururu-ai
cd /home/ec2-user/ururu-ai

# 코드 업데이트 (올바른 디렉토리)
if [ ! -d ".git" ]; then
echo "📥 레포지토리 초기 클론"
git clone https://github.com/UruruLab/Ururu-AI.git .
else
echo "🔄 코드 업데이트"
git fetch origin
git checkout main
git reset --hard origin/main
fi

# Config 파일 복사 (중복 생성 제거)
echo "📝 Config 파일 사용"
if [ ! -f ".env.production" ]; then
echo "❌ .env.production 파일이 없습니다. Config 리포지토리에서 가져와야 합니다."
exit 1
fi

# Docker 컨테이너 배포
echo "🐳 Docker 컨테이너 배포"
cd docker/
docker compose -f docker-compose-ai-prod.yml down || true
docker compose -f docker-compose-ai-prod.yml up -d --build

echo "⏳ 서비스 시작 대기 중..."
sleep 30

# 헬스체크
echo "🔍 헬스체크 시작"
for i in {1..60}; do
if curl -f http://localhost:8000/health 2>/dev/null; then
echo "✅ FastAPI 서비스 헬스체크 통과"
break
fi
if [ $i -eq 60 ]; then
echo "❌ 헬스체크 실패"
docker logs --tail 20 ururu-ai-service
exit 1
fi
sleep 5
done

# 벡터 인덱스 상태 확인
echo "📊 벡터 인덱스 상태 확인"
VECTOR_STATUS=$(curl -s http://localhost:8000/api/vector/status | grep -o '"total_vectors":[0-9]*' | cut -d':' -f2 || echo "0")
echo "벡터 인덱스 상태: $VECTOR_STATUS 개 벡터"

# 임베딩 재생성 (필요시)
if [ "$VECTOR_STATUS" -lt 1000 ]; then
echo "🔄 벡터 인덱스 재생성 시작"
curl -X POST "http://localhost:8000/api/vector/embeddings/batch?batch_size=100&force_recreate=false" || echo "임베딩 재생성 요청 실패"
fi

echo "🎉 FastAPI AI 서비스 배포 완료"
echo "$(date): FastAPI AI 서비스 배포 완료 - commit: $GITHUB_SHA" >> /home/ec2-user/deployment.log

- name: Deployment Completion Notification
if: success()
- name: Deployment Notification
if: always()
run: |
echo "GitHub Actions deployment pipeline completed successfully."
echo "Docker image has been pushed to GitHub Container Registry."
echo "Manual execution required on EC2 server: docker compose pull && docker compose up -d"
if [ "${{ job.status }}" == "success" ]; then
echo "✅ FastAPI AI 서비스 배포 성공"
echo "🌐 AI 서비스: http://43.200.204.67:8000"
echo "📚 API 문서: http://43.200.204.67:8000/docs"
echo "🔗 Spring Boot 연동 준비 완료"
else
echo "❌ FastAPI AI 서비스 배포 실패"
echo "📝 로그 확인: docker logs ururu-ai-service"
fi

- name: Create Deployment Issue on Failure
if: failure()
uses: actions/github-script@v7
with:
script: |
github.rest.issues.create({
owner: context.repo.owner,
repo: context.repo.repo,
title: 'Production AI Service Deployment Failed',
body: `## As Is (Current Issue)

Production AI service automated deployment has failed.

**Deployment Information:**
- Commit: ${context.sha}
- Branch: ${context.ref}
- Execution Time: ${new Date().toISOString()}
- Workflow: ${context.workflow}
## To Be (Expected Behavior)

AI service should be deployed successfully and available for frontend AI recommendation features.

## Deadline

Critical fix required within 1 hour

## References

- [Workflow Execution Log](https://github.com/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId})
- [EC2 AI Service Status](http://3.39.69.34:8000/health)
- [AI API Documentation](http://3.39.69.34:8000/docs)
`,
labels: ['urgent', 'ai-service', 'deployment']
})
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