Files
microdao-daarion/docker-compose.yml
Apple ca05c91799 feat: complete dots.ocr integration with deployment setup
Model Loader:
- Update model_loader.py with complete dots.ocr loading code
- Proper device detection (CUDA/CPU/MPS) with fallback
- Memory optimization (low_cpu_mem_usage)
- Better error handling and logging
- Support for local model paths and HF Hub

Docker:
- Multi-stage Dockerfile (CPU/CUDA builds)
- docker-compose.yml for parser-service
- .dockerignore for clean builds
- Model cache volume for persistence

Configuration:
- Support DOTS_OCR_MODEL_ID and DEVICE env vars (backward compatible)
- Better defaults and environment variable handling

Deployment:
- Add DEPLOYMENT.md with detailed instructions
- Local deployment (venv)
- Docker Compose deployment
- Ollama runtime setup
- Troubleshooting guide

Integration:
- Add parser-service to main docker-compose.yml
- Configure volumes and networks
- Health checks and dependencies
2025-11-16 03:00:01 -08:00

238 lines
6.1 KiB
YAML

services:
# DAGI Router - Core routing service
router:
build:
context: .
dockerfile: Dockerfile
container_name: dagi-router
ports:
- "9102:9102"
environment:
- DAGI_ROUTER_CONFIG=/app/router-config.yml
- RBAC_BASE_URL=http://rbac:9200
- DEVTOOLS_BASE_URL=http://devtools:8008
- CREWAI_BASE_URL=http://crewai:9010
volumes:
- ./router-config.yml:/app/router-config.yml:ro
- ./logs:/app/logs
depends_on:
- devtools
- crewai
- rbac
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9102/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
# DevTools Backend
devtools:
build:
context: ./devtools-backend
dockerfile: Dockerfile
container_name: dagi-devtools
ports:
- "8008:8008"
volumes:
- ./workspace:/workspace
- ./logs:/app/logs
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8008/health"]
interval: 30s
timeout: 10s
retries: 3
# CrewAI Orchestrator
crewai:
build:
context: ./orchestrator
dockerfile: Dockerfile
container_name: dagi-crewai
ports:
- "9010:9010"
environment:
- ROUTER_URL=http://router:9102
volumes:
- ./logs:/app/logs
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9010/health"]
interval: 30s
timeout: 10s
retries: 3
# Bot Gateway (with DAARWIZZ)
gateway:
build:
context: ./gateway-bot
dockerfile: Dockerfile
container_name: dagi-gateway
ports:
- "9300:9300"
environment:
- ROUTER_URL=http://router:9102
- MEMORY_SERVICE_URL=http://memory-service:8000
- STT_SERVICE_URL=http://stt-service:9000
- TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}
- DISCORD_BOT_TOKEN=${DISCORD_BOT_TOKEN:-}
- DAARWIZZ_NAME=DAARWIZZ
- DAARWIZZ_PROMPT_PATH=/app/gateway-bot/daarwizz_prompt.txt
volumes:
- ./logs:/app/logs
depends_on:
- router
- memory-service
- stt-service
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9300/health"]
interval: 30s
timeout: 10s
retries: 3
# microDAO RBAC Service
rbac:
build:
context: ./microdao
dockerfile: Dockerfile
container_name: dagi-rbac
ports:
- "9200:9200"
environment:
- DATABASE_URL=${RBAC_DATABASE_URL:-sqlite:///rbac.db}
volumes:
- ./data/rbac:/app/data
- ./logs:/app/logs
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9200/health"]
interval: 30s
timeout: 10s
retries: 3
# DAARION.city Database (PostgreSQL with pgvector)
city-db:
image: pgvector/pgvector:pg16
container_name: dagi-city-db
ports:
- "5432:5432"
environment:
- POSTGRES_USER=${POSTGRES_USER:-postgres}
- POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-postgres}
- POSTGRES_DB=${POSTGRES_DB:-daarion_city}
volumes:
- ./data/postgres:/var/lib/postgresql/data
- ./supabase/migrations:/docker-entrypoint-initdb.d
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-postgres}"]
interval: 10s
timeout: 5s
retries: 5
# Memory Service (user_facts, dialog_summaries, agent_memory_events)
memory-service:
build:
context: ./services/memory-service
dockerfile: Dockerfile
container_name: dagi-memory-service
ports:
- "8000:8000"
environment:
- DATABASE_URL=postgresql://${POSTGRES_USER:-postgres}:${POSTGRES_PASSWORD:-postgres}@city-db:5432/${POSTGRES_DB:-daarion_city}
- API_HOST=0.0.0.0
- API_PORT=8000
volumes:
- ./services/memory-service:/app
- ./logs:/app/logs
depends_on:
city-db:
condition: service_healthy
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
interval: 30s
timeout: 10s
retries: 3
# STT Service (Speech-to-Text using Qwen3 ASR Toolkit)
stt-service:
build:
context: ./services/stt-service
dockerfile: Dockerfile
container_name: dagi-stt-service
ports:
- "9000:9000"
environment:
- DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY:-}
volumes:
- ./logs:/app/logs
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9000/health"]
interval: 30s
timeout: 10s
retries: 3
# PARSER Service (Document OCR using dots.ocr)
parser-service:
build:
context: ./services/parser-service
dockerfile: Dockerfile
target: cpu
container_name: dagi-parser-service
ports:
- "9400:9400"
environment:
- PARSER_MODEL_NAME=${PARSER_MODEL_NAME:-rednote-hilab/dots.ocr}
- DOTS_OCR_MODEL_ID=${DOTS_OCR_MODEL_ID:-rednote-hilab/dots.ocr}
- PARSER_DEVICE=${PARSER_DEVICE:-cpu}
- DEVICE=${DEVICE:-cpu}
- RUNTIME_TYPE=${RUNTIME_TYPE:-local}
- USE_DUMMY_PARSER=${USE_DUMMY_PARSER:-false}
- ALLOW_DUMMY_FALLBACK=${ALLOW_DUMMY_FALLBACK:-true}
- OLLAMA_BASE_URL=${OLLAMA_BASE_URL:-http://ollama:11434}
- PARSER_MAX_PAGES=${PARSER_MAX_PAGES:-100}
- MAX_FILE_SIZE_MB=${MAX_FILE_SIZE_MB:-50}
- PDF_DPI=${PDF_DPI:-200}
- IMAGE_MAX_SIZE=${IMAGE_MAX_SIZE:-2048}
volumes:
- parser-model-cache:/root/.cache/huggingface
- ./logs:/app/logs
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9400/health"]
interval: 30s
timeout: 10s
retries: 3
volumes:
parser-model-cache:
driver: local
networks:
dagi-network:
driver: bridge
name: dagi-network