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Copy pathdocker-compose.yml
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74 lines (68 loc) · 1.59 KB
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version: "3.8"
services:
app:
build: .
container_name: agentai_app
env_file: .env
ports:
- "8080:8080" # App at http://localhost:8080
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
volumes:
- ./storage:/var/www/html/storage
- ./bootstrap/cache:/var/www/html/bootstrap/cache
healthcheck:
test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8080/"]
interval: 30s
timeout: 3s
start_period: 20s
retries: 3
postgres:
image: postgres:17
container_name: agentai_pg
environment:
POSTGRES_DB: agent_ai
POSTGRES_USER: agent_user
POSTGRES_PASSWORD: your_secure_password
ports: ["5432:5432"]
volumes:
- pg:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U agent_user -d agent_ai"]
interval: 10s
timeout: 5s
retries: 5
redis:
image: redis:7-alpine
container_name: agentai_redis
ports: ["6379:6379"]
volumes:
- redis:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 5
# ClamAV daemon
clamav:
image: clamav/clamav:latest
container_name: agentai_clamav
ports: ["3310:3310"]
volumes:
- clamav_data:/var/lib/clamav
# Local LLM (optional but handy)
ollama:
image: ollama/ollama:latest
container_name: agentai_ollama
ports: ["11434:11434"]
volumes:
- ollama_data:/root/.ollama
profiles: ["dev"]
volumes:
pg: {}
redis: {}
clamav_data: {}
ollama_data: {}