Dev -> main 머지

.github/workflows/deploy.yml

@@ -84,6 +84,16 @@ jobs:
           docker build -t ${{ secrets.ECR_REGISTRY }}/final-7team-nginx:latest ./nginx
           docker push ${{ secrets.ECR_REGISTRY }}/final-7team-nginx:latest
 
+      # 7. docker-compose.yml 파일을 EC2로 전송
+      - name: Upload docker-compose.yml to EC2
+        uses: appleboy/[email protected]
+        with:
+          host: ${{ secrets.EC2_HOST }}
+          username: ${{ secrets.EC2_USER }}
+          key: ${{ secrets.EC2_KEY }}
+          source: "docker-compose.yml"
+          target: "~/softlabs/"
+
   # 3. EC2로 배포
   deploy-to-ec2:
     needs: build-and-push-backend

PYTHON_CRAWLING_SETUP.md

@@ -0,0 +1,41 @@
+# Python 크롤링 설치 매뉴얼
+
+## 필수 준비사항
+
+**Python 3.11 이상 필요** - [python.org](https://www.python.org)에서 다운로드
+
+### 1. 프로젝트 이동(powershell)
+```powershell
+cd Final-7team-BE (본인 프로젝트 위치)
+cd fastapi
+```
+
+### 2. 패키지 설치
+```powershell
+pip install oracledb
+pip install playwright
+python -m playwright install
+pip install pillow opencv-python pytesseract
+```
+
+
+
+
+
+### 3.  가상환경 생성 (선택사항) 
+```powershell
+# 가상환경 생성
+python -m venv venv
+
+# 가상환경 활성화
+venv\Scripts\activate
+```
+
+
+### 4. 가상 환경 실행
+```powershell
+uvicorn app.main:app --host 0.0.0.0 --port 8000
+```
+
+### 5. 확인
+브라우저에서 `http://localhost:8000/docs` 접속

docker-compose.yml

@@ -32,6 +32,20 @@ services:
       - app-network
     restart: always
 
+  redis:
+    image: redis:7-alpine
+    container_name: redis
+    ports:
+      - "6379:6379"
+    command: redis-server --requirepass ${REDIS_PASSWORD}
+    env_file:
+      - .env
+    networks:
+      - app-network
+    restart: always
+    volumes:
+      - redis_data:/data
+
   nginx:
     image: 445971788373.dkr.ecr.ap-northeast-2.amazonaws.com/final-7team-nginx:latest
     container_name: nginx
@@ -41,10 +55,14 @@ services:
       - springboot
       - fastapi
       - react
+      - redis
     networks:
       - app-network
     restart: always
 
 networks:
   app-network:
     driver: bridge
+
+volumes:
+  redis_data: