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docker-compose.yml
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195 lines (177 loc) · 5.41 KB
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# ============================================================================
# AI Trend Monitor - Production Docker Compose
# ============================================================================
# Usage:
# cp .env.example .env # Edit with real values
# docker compose up -d # Start all services
# docker compose logs -f api # Follow API logs
# ============================================================================
version: "3.8"
services:
# ── Data stores ──────────────────────────────────────────────────────────
postgres:
image: postgres:16-alpine
volumes:
- postgres_data:/var/lib/postgresql/data
environment:
POSTGRES_DB: ${POSTGRES_DB:-ai_trends}
POSTGRES_USER: ${POSTGRES_USER:-monitor}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-changeme_in_production}
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-monitor} -d ${POSTGRES_DB:-ai_trends}"]
interval: 10s
timeout: 5s
retries: 5
networks:
- monitor-net
restart: unless-stopped
mem_limit: 512m
redis:
image: redis:7-alpine
command: redis-server --appendonly yes --maxmemory 200mb --maxmemory-policy allkeys-lru
volumes:
- redis_data:/data
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 10s
timeout: 5s
retries: 5
networks:
- monitor-net
restart: unless-stopped
mem_limit: 256m
# ── Application services ────────────────────────────────────────────────
api:
build:
context: .
dockerfile: Dockerfile
target: api
ports:
- "${APP_PORT:-8000}:8000"
env_file: .env
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 15s
volumes:
- reports_data:/app/reports
networks:
- monitor-net
restart: unless-stopped
mem_limit: 512m
worker:
build:
context: .
dockerfile: Dockerfile
target: worker
env_file: .env
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
volumes:
- reports_data:/app/reports
networks:
- monitor-net
restart: unless-stopped
mem_limit: 1g
scheduler:
build:
context: .
dockerfile: Dockerfile
target: scheduler
env_file: .env
depends_on:
redis:
condition: service_healthy
networks:
- monitor-net
restart: unless-stopped
mem_limit: 256m
# ── Frontend & bot ──────────────────────────────────────────────────────
dashboard:
build:
context: .
dockerfile: Dockerfile.dashboard
ports:
- "${DASHBOARD_PORT:-8501}:8501"
env_file: .env
environment:
STREAMLIT_API_BASE_URL: http://api:8000
depends_on:
api:
condition: service_healthy
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8501/_stcore/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 20s
networks:
- monitor-net
restart: unless-stopped
mem_limit: 512m
telegram-bot:
build:
context: .
dockerfile: Dockerfile.bot
env_file: .env
environment:
API_BASE_URL: http://api:8000
depends_on:
api:
condition: service_healthy
networks:
- monitor-net
restart: unless-stopped
mem_limit: 256m
# The bot will exit gracefully if TELEGRAM_BOT_TOKEN is empty.
# ── AI inference ────────────────────────────────────────────────────────
ollama:
image: ollama/ollama:latest
volumes:
- ollama_data:/root/.ollama
- ./scripts/ollama-entrypoint.sh:/entrypoint.sh:ro
entrypoint: ["/bin/bash", "/entrypoint.sh"]
environment:
OLLAMA_MODEL: ${OLLAMA_MODEL:-llama3.1:8b}
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:11434/api/tags"]
interval: 30s
timeout: 10s
retries: 5
start_period: 60s
networks:
- monitor-net
restart: unless-stopped
mem_limit: 8g
# GPU support (NVIDIA): uncomment the deploy section below.
# deploy:
# resources:
# reservations:
# devices:
# - driver: nvidia
# count: 1
# capabilities: [gpu]
# ── Volumes ─────────────────────────────────────────────────────────────────
volumes:
postgres_data:
driver: local
redis_data:
driver: local
reports_data:
driver: local
ollama_data:
driver: local
# ── Networks ────────────────────────────────────────────────────────────────
networks:
monitor-net:
driver: bridge