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docker-compose.yml
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86 lines (80 loc) · 2.27 KB
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# LARUN Docker Compose Configuration
# Run with: docker-compose up
version: '3.8'
services:
# ==========================================================================
# LARUN API Server
# ==========================================================================
api:
build:
context: .
dockerfile: Dockerfile
container_name: larun-api
ports:
- "8000:8000"
volumes:
- ./data:/app/data
- ./models:/app/models
- ./output:/app/output
environment:
- PYTHONPATH=/app
- LARUN_ENV=production
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 30s
timeout: 10s
retries: 3
# ==========================================================================
# LARUN CLI (Interactive)
# ==========================================================================
cli:
build:
context: .
dockerfile: Dockerfile
container_name: larun-cli
entrypoint: ["python", "larun.py"]
stdin_open: true
tty: true
volumes:
- ./data:/app/data
- ./models:/app/models
- ./output:/app/output
profiles:
- cli
# ==========================================================================
# LARUN Training
# ==========================================================================
training:
build:
context: .
dockerfile: Dockerfile
container_name: larun-training
entrypoint: ["python", "train_real_data.py"]
command: ["--planets", "250", "--non-planets", "250", "--epochs", "100"]
volumes:
- ./data:/app/data
- ./models:/app/models
- ./logs:/app/logs
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
profiles:
- training
# ==========================================================================
# Volumes
# ==========================================================================
volumes:
larun-data:
larun-models:
larun-output:
# ==========================================================================
# Networks
# ==========================================================================
networks:
default:
name: larun-network