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docker-compose.yml
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105 lines (99 loc) · 2.22 KB
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version: "3.8"
services:
# PostgreSQL Database
db:
image: postgres:15-alpine
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: stellarsplit
ports:
- "5432:5432"
volumes:
- postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 5s
timeout: 5s
retries: 5
# Redis for caching and queues
redis:
image: redis:7-alpine
ports:
- "6379:6379"
volumes:
- redis_data:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 5s
retries: 5
# Backend API
backend:
build:
context: ./backend
dockerfile: Dockerfile
ports:
- "3000:3000"
environment:
- NODE_ENV=development
- PORT=3000
- DB_HOST=db
- DB_PORT=5432
- DB_USERNAME=postgres
- DB_PASSWORD=postgres
- DB_NAME=stellarsplit
- DB_SYNCHRONIZE=false
- REDIS_HOST=redis
- REDIS_PORT=6379
- ML_SERVICE_URL=http://ml-service:8000
- FRAUD_DETECTION_ENABLED=true
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
ml-service:
condition: service_started
volumes:
- ./backend:/app
- /app/node_modules
# ML Fraud Detection Service
ml-service:
build:
context: ./ml-service
dockerfile: Dockerfile
ports:
- "8000:8000"
environment:
- PORT=8000
- DB_CONNECTION_STRING=postgresql://postgres:postgres@db:5432/stellarsplit
- REDIS_URL=redis://redis:6379
- MODEL_REGISTRY_PATH=/models
- HIGH_RISK_THRESHOLD=80
- MEDIUM_RISK_THRESHOLD=50
volumes:
- ml_models:/models
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
# Frontend (optional, for development)
frontend:
build:
context: ./frontend
dockerfile: Dockerfile
ports:
- "5173:5173"
environment:
- VITE_API_URL=http://localhost:3000
volumes:
- ./frontend:/app
- /app/node_modules
depends_on:
- backend
volumes:
postgres_data:
redis_data:
ml_models: