Step 5: Authentication System & Environment Variables

- Implemented JWT authentication in Console backend - Added .env file for environment variable management - Updated docker-compose to use .env variables - Created authentication endpoints (login/logout/me) - Added protected route middleware - Created ARCHITECTURE.md with Kafka as main messaging platform - Defined Kafka for both events and task queues - Redis dedicated for caching and session management Test credentials: - admin/admin123 - user/user123 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-10 16:36:47 +09:00
parent 4b2be7ccaf
commit 315eeea2ae
6 changed files with 378 additions and 20 deletions
--- a/.env.example
+++ b/.env.example
@ -0,0 +1,37 @@
+# Environment Configuration Example
+# Copy this file to .env and update with your values
+
+ENV=development
+
+# Port Configuration
+CONSOLE_BACKEND_PORT=8011
+CONSOLE_FRONTEND_PORT=3000
+USERS_SERVICE_PORT=8001
+MONGODB_PORT=27017
+REDIS_PORT=6379
+
+# Database Configuration
+MONGODB_URL=mongodb://mongodb:27017
+MONGODB_DATABASE=site11_db
+USERS_DB_NAME=users_db
+
+# Redis Configuration
+REDIS_URL=redis://redis:6379
+
+# JWT Configuration
+JWT_SECRET_KEY=change-this-secret-key-in-production
+JWT_ALGORITHM=HS256
+ACCESS_TOKEN_EXPIRE_MINUTES=30
+
+# Service URLs (Internal)
+USERS_SERVICE_URL=http://users-backend:8000
+
+# Frontend Configuration
+VITE_API_URL=http://localhost:8011
+
+# Kafka Configuration (Future)
+# KAFKA_BOOTSTRAP_SERVERS=kafka:9092
+# KAFKA_GROUP_ID=site11-group
+
+# Docker Configuration
+COMPOSE_PROJECT_NAME=site11
--- a/console/backend/auth.py
+++ b/console/backend/auth.py
@ -0,0 +1,65 @@
+from datetime import datetime, timedelta
+from typing import Optional
+from jose import JWTError, jwt
+from passlib.context import CryptContext
+from fastapi import Depends, HTTPException, status
+from fastapi.security import OAuth2PasswordBearer
+from pydantic import BaseModel
+import os
+
+SECRET_KEY = os.getenv("JWT_SECRET_KEY", "your-secret-key-change-in-production")
+ALGORITHM = "HS256"
+ACCESS_TOKEN_EXPIRE_MINUTES = 30
+
+pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
+oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/api/auth/login")
+
+class Token(BaseModel):
+    access_token: str
+    token_type: str
+
+class TokenData(BaseModel):
+    username: Optional[str] = None
+
+class UserLogin(BaseModel):
+    username: str
+    password: str
+
+class UserInDB(BaseModel):
+    username: str
+    hashed_password: str
+    email: str
+    full_name: Optional[str] = None
+    is_active: bool = True
+
+def verify_password(plain_password, hashed_password):
+    return pwd_context.verify(plain_password, hashed_password)
+
+def get_password_hash(password):
+    return pwd_context.hash(password)
+
+def create_access_token(data: dict, expires_delta: Optional[timedelta] = None):
+    to_encode = data.copy()
+    if expires_delta:
+        expire = datetime.utcnow() + expires_delta
+    else:
+        expire = datetime.utcnow() + timedelta(minutes=15)
+    to_encode.update({"exp": expire})
+    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
+    return encoded_jwt
+
+async def get_current_user(token: str = Depends(oauth2_scheme)):
+    credentials_exception = HTTPException(
+        status_code=status.HTTP_401_UNAUTHORIZED,
+        detail="Could not validate credentials",
+        headers={"WWW-Authenticate": "Bearer"},
+    )
+    try:
+        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
+        username: str = payload.get("sub")
+        if username is None:
+            raise credentials_exception
+        token_data = TokenData(username=username)
+    except JWTError:
+        raise credentials_exception
+    return token_data
--- a/console/backend/main.py
+++ b/console/backend/main.py
@ -1,10 +1,17 @@
-from fastapi import FastAPI, HTTPException, Request, Response
+from fastapi import FastAPI, HTTPException, Request, Response, Depends, status
 from fastapi.middleware.cors import CORSMiddleware
+from fastapi.security import OAuth2PasswordRequestForm
 import uvicorn
-from datetime import datetime
+from datetime import datetime, timedelta
 import httpx
 import os
 from typing import Any
+from auth import (
+    Token, UserLogin, UserInDB,
+    verify_password, get_password_hash,
+    create_access_token, get_current_user,
+    ACCESS_TOKEN_EXPIRE_MINUTES
+)

 app = FastAPI(
    title="Console API Gateway",
@ -40,6 +47,58 @@ async def health_check():
        "timestamp": datetime.now().isoformat()
    }

+# Authentication endpoints
+@app.post("/api/auth/login", response_model=Token)
+async def login(form_data: OAuth2PasswordRequestForm = Depends()):
+    """Login endpoint for authentication"""
+    # For demo purposes - in production, check against database
+    # This is temporary until we integrate with Users service
+    demo_users = {
+        "admin": {
+            "username": "admin",
+            "hashed_password": get_password_hash("admin123"),
+            "email": "admin@site11.com",
+            "full_name": "Administrator",
+            "is_active": True
+        },
+        "user": {
+            "username": "user",
+            "hashed_password": get_password_hash("user123"),
+            "email": "user@site11.com",
+            "full_name": "Test User",
+            "is_active": True
+        }
+    }
+    
+    user = demo_users.get(form_data.username)
+    if not user or not verify_password(form_data.password, user["hashed_password"]):
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail="Incorrect username or password",
+            headers={"WWW-Authenticate": "Bearer"},
+        )
+    
+    access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES)
+    access_token = create_access_token(
+        data={"sub": user["username"]}, expires_delta=access_token_expires
+    )
+    return {"access_token": access_token, "token_type": "bearer"}
+
+@app.get("/api/auth/me")
+async def get_me(current_user = Depends(get_current_user)):
+    """Get current user information"""
+    return {
+        "username": current_user.username,
+        "email": f"{current_user.username}@site11.com",
+        "is_active": True
+    }
+
+@app.post("/api/auth/logout")
+async def logout(current_user = Depends(get_current_user)):
+    """Logout endpoint"""
+    # In a real application, you might want to blacklist the token
+    return {"message": "Successfully logged out"}
+
@app.get("/api/status")
 async def system_status():
    services_status = {}
@ -65,10 +124,19 @@ async def system_status():
        "timestamp": datetime.now().isoformat()
    }

+# Protected endpoint example
+@app.get("/api/protected")
+async def protected_route(current_user = Depends(get_current_user)):
+    """Example of a protected route"""
+    return {
+        "message": "This is a protected route",
+        "user": current_user.username
+    }
+
 # API Gateway - Route to Users service
@app.api_route("/api/users/{path:path}", methods=["GET", "POST", "PUT", "DELETE", "PATCH"])
-async def proxy_to_users(path: str, request: Request):
-    """Proxy requests to Users service"""
+async def proxy_to_users(path: str, request: Request, current_user = Depends(get_current_user)):
+    """Proxy requests to Users service (protected)"""
    try:
        async with httpx.AsyncClient() as client:
            # Build the target URL
--- a/console/backend/requirements.txt
+++ b/console/backend/requirements.txt
@ -2,4 +2,7 @@ fastapi==0.109.0
 uvicorn[standard]==0.27.0
 python-dotenv==1.0.0
 pydantic==2.5.3
-httpx==0.26.0
+httpx==0.26.0
+python-jose[cryptography]==3.3.0
+passlib[bcrypt]==1.7.4
+python-multipart==0.0.6
--- a/docker-compose.yml
+++ b/docker-compose.yml
@ -5,9 +5,9 @@ services:
    build:
      context: ./console/frontend
      dockerfile: Dockerfile
-    container_name: site11_console_frontend
+    container_name: ${COMPOSE_PROJECT_NAME}_console_frontend
    ports:
-      - "3000:80"
+      - "${CONSOLE_FRONTEND_PORT}:80"
    networks:
      - site11_network
    restart: unless-stopped
@ -18,13 +18,16 @@ services:
    build: 
      context: ./console/backend
      dockerfile: Dockerfile
-    container_name: site11_console_backend
+    container_name: ${COMPOSE_PROJECT_NAME}_console_backend
    ports:
-      - "8011:8000"
+      - "${CONSOLE_BACKEND_PORT}:8000"
    environment:
-      - ENV=development
+      - ENV=${ENV}
      - PORT=8000
-      - USERS_SERVICE_URL=http://users-backend:8000
+      - USERS_SERVICE_URL=${USERS_SERVICE_URL}
+      - JWT_SECRET_KEY=${JWT_SECRET_KEY}
+      - JWT_ALGORITHM=${JWT_ALGORITHM}
+      - ACCESS_TOKEN_EXPIRE_MINUTES=${ACCESS_TOKEN_EXPIRE_MINUTES}
    volumes:
      - ./console/backend:/app
    networks:
@ -37,12 +40,12 @@ services:
    build:
      context: ./services/users/backend
      dockerfile: Dockerfile
-    container_name: site11_users_backend
+    container_name: ${COMPOSE_PROJECT_NAME}_users_backend
    environment:
-      - ENV=development
+      - ENV=${ENV}
      - PORT=8000
-      - MONGODB_URL=mongodb://mongodb:27017
-      - DB_NAME=users_db
+      - MONGODB_URL=${MONGODB_URL}
+      - DB_NAME=${USERS_DB_NAME}
    volumes:
      - ./services/users/backend:/app
    networks:
@ -53,11 +56,11 @@ services:

  mongodb:
    image: mongo:7.0
-    container_name: site11_mongodb
+    container_name: ${COMPOSE_PROJECT_NAME}_mongodb
    environment:
-      - MONGO_INITDB_DATABASE=site11_db
+      - MONGO_INITDB_DATABASE=${MONGODB_DATABASE}
    ports:
-      - "27017:27017"
+      - "${MONGODB_PORT}:27017"
    volumes:
      - mongodb_data:/data/db
      - mongodb_config:/data/configdb
@ -72,9 +75,9 @@ services:

  redis:
    image: redis:7-alpine
-    container_name: site11_redis
+    container_name: ${COMPOSE_PROJECT_NAME}_redis
    ports:
-      - "6379:6379"
+      - "${REDIS_PORT}:6379"
    volumes:
      - redis_data:/data
    networks:
--- a/docs/ARCHITECTURE.md
+++ b/docs/ARCHITECTURE.md
@ -0,0 +1,182 @@
+# Site11 Microservices Architecture
+
+## 시스템 아키텍처 개요
+
+### 메시징 및 데이터 처리 시스템
+
+#### 1. **Apache Kafka** - 통합 메시징 플랫폼
+- **역할**: 이벤트 스트리밍 + 작업 큐 + 메시지 버스
+- **사용 사례**:
+  - 서비스 간 이벤트 발행/구독
+  - 비동기 작업 큐 (Celery 대체)
+  - 사용자 활동 로그 스트리밍
+  - 실시간 데이터 파이프라인
+  - 이벤트 소싱 패턴 구현
+  - CQRS (Command Query Responsibility Segregation)
+  - 백그라운드 작업 처리
+
+#### 2. **Redis** - 인메모리 데이터 스토어
+- **역할**: 캐싱 및 세션 관리 전용
+- **사용 사례**:
+  - API 응답 캐싱
+  - 사용자 세션 저장
+  - Rate limiting
+  - 실시간 리더보드/카운터
+  - 임시 데이터 저장
+
+#### 3. **MongoDB** - Document Database
+- **역할**: 주요 데이터 영속성
+- **사용 사례**:
+  - 서비스별 도메인 데이터
+  - 유연한 스키마 관리
+  - 이벤트 저장소
+
+## 서비스 통신 패턴
+
+### 동기 통신 (REST API)
+```
+Client → Nginx → Console (API Gateway) → Microservice
+```
+- 즉각적인 응답이 필요한 경우
+- CRUD 작업
+- 실시간 데이터 조회
+
+### 비동기 통신 (Kafka Events)
+```
+Service A → Kafka Topic → Service B, C, D
+```
+- 서비스 간 느슨한 결합
+- 이벤트 기반 아키텍처
+- 확장 가능한 처리
+
+### 캐싱 전략 (Redis)
+```
+Request → Check Redis Cache → Hit? Return : Fetch from DB → Store in Redis → Return
+```
+- 응답 시간 개선
+- 데이터베이스 부하 감소
+- 세션 관리
+
+## 이벤트 플로우 예시
+
+### 사용자 등록 플로우
+1. **API Request**: Client → Console → Users Service
+2. **User Created Event**: Users Service → Kafka
+3. **Event Consumers**:
+   - Statistics Service: 사용자 통계 업데이트
+   - Email Service: 환영 이메일 발송
+   - Analytics Service: 가입 분석
+4. **Cache Update**: Redis에 사용자 정보 캐싱
+
+### 이미지 업로드 플로우
+1. **Upload Request**: Client → Console → Images Service
+2. **Image Uploaded Event**: Images Service → Kafka
+3. **Event Processing**:
+   - Thumbnail Service: 썸네일 생성
+   - ML Service: 이미지 분석
+   - Statistics Service: 업로드 통계
+4. **Job Queue**: Redis/Celery로 백그라운드 처리
+
+## Kafka Topics 구조 (예정)
+
+### Event Topics (이벤트 스트리밍)
+```
+# User Domain
+user.created
+user.updated
+user.deleted
+user.login
+
+# Image Domain
+image.uploaded
+image.processed
+image.deleted
+
+# Application Domain
+app.registered
+app.updated
+app.deployed
+
+# System Events
+service.health
+service.error
+audit.log
+```
+
+### Task Queue Topics (작업 큐)
+```
+# Background Jobs
+tasks.email.send
+tasks.image.resize
+tasks.report.generate
+tasks.data.export
+tasks.notification.push
+
+# Scheduled Jobs
+tasks.cleanup.expired
+tasks.backup.database
+tasks.analytics.aggregate
+```
+
+## Redis 사용 패턴
+
+### 1. 캐싱 계층
+- Key: `cache:users:{user_id}`
+- TTL: 3600초
+- 패턴: Cache-Aside
+
+### 2. 세션 관리
+- Key: `session:{token}`
+- TTL: 1800초
+- 데이터: 사용자 정보, 권한
+
+### 3. Rate Limiting
+- Key: `rate_limit:{user_id}:{endpoint}`
+- Window: Sliding window
+- Limit: 100 requests/minute
+
+### 4. 작업 큐 (Celery)
+- Queue: `celery:tasks`
+- Priority Queue 지원
+- Dead Letter Queue
+
+## 구현 로드맵
+
+### Phase 1 (현재)
+- ✅ 기본 서비스 구조
+- ✅ MongoDB 연동
+- ✅ Redis 설치
+- 🔄 JWT 인증
+
+### Phase 2 (Step 6-7)
+- Kafka 클러스터 설정
+- 기본 Producer/Consumer 구현
+- Event Schema 정의
+- Redis 캐싱 전략 구현
+
+### Phase 3 (Step 8+)
+- Event Sourcing 패턴
+- CQRS 구현
+- Saga 패턴 (분산 트랜잭션)
+- 모니터링 대시보드
+
+## 기술 스택
+
+### 메시징 & 스트리밍
+- **Kafka**: Event streaming
+- **Redis**: Caching, Queue, Pub/Sub
+- **Confluent Schema Registry**: Schema 관리 (향후)
+
+### 백엔드
+- **FastAPI**: REST API
+- **Celery**: 비동기 작업 처리
+- **kafka-python**: Kafka 클라이언트
+
+### 데이터베이스
+- **MongoDB**: Document store
+- **Redis**: In-memory cache
+
+### 모니터링 (향후)
+- **Kafka Manager**: Kafka 클러스터 관리
+- **RedisInsight**: Redis 모니터링
+- **Prometheus + Grafana**: 메트릭 수집/시각화