3cacf67cf5
- Router Core with rule-based routing (1530 lines) - DevTools Backend (file ops, test execution) (393 lines) - CrewAI Orchestrator (4 workflows, 12 agents) (358 lines) - Bot Gateway (Telegram/Discord) (321 lines) - RBAC Service (role resolution) (272 lines) - Structured logging (utils/logger.py) - Docker deployment (docker-compose.yml) - Comprehensive documentation (57KB) - Test suites (41 tests, 95% coverage) - Phase 4 roadmap & ecosystem integration plans Production-ready infrastructure for DAARION microDAOs.
144 lines
3.2 KiB
YAML
144 lines
3.2 KiB
YAML
version: '3.9'
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services:
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# DAGI Router - Core routing service
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router:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: dagi-router
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ports:
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- "9102:9102"
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environment:
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- DAGI_ROUTER_CONFIG=/app/router-config.yml
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- RBAC_BASE_URL=http://rbac:9200
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- DEVTOOLS_BASE_URL=http://devtools:8008
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- CREWAI_BASE_URL=http://crewai:9010
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volumes:
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- ./router-config.yml:/app/router-config.yml:ro
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- ./logs:/app/logs
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depends_on:
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- devtools
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- crewai
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- rbac
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:9102/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 10s
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# DevTools Backend
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devtools:
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build:
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context: ./devtools-backend
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dockerfile: Dockerfile
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container_name: dagi-devtools
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ports:
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- "8008:8008"
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volumes:
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- ./workspace:/workspace
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- ./logs:/app/logs
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8008/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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# CrewAI Orchestrator
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crewai:
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build:
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context: ./orchestrator
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dockerfile: Dockerfile
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container_name: dagi-crewai
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ports:
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- "9010:9010"
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environment:
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- ROUTER_URL=http://router:9102
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volumes:
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- ./logs:/app/logs
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:9010/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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# Bot Gateway
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gateway:
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build:
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context: ./gateway-bot
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dockerfile: Dockerfile
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container_name: dagi-gateway
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ports:
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- "9300:9300"
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environment:
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- ROUTER_URL=http://router:9102
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- TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN:-}
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- DISCORD_BOT_TOKEN=${DISCORD_BOT_TOKEN:-}
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volumes:
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- ./logs:/app/logs
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depends_on:
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- router
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:9300/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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# microDAO RBAC Service
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rbac:
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build:
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context: ./microdao
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dockerfile: Dockerfile
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container_name: dagi-rbac
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ports:
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- "9200:9200"
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environment:
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- DATABASE_URL=${RBAC_DATABASE_URL:-sqlite:///rbac.db}
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volumes:
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- ./data/rbac:/app/data
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- ./logs:/app/logs
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networks:
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- dagi-network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:9200/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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# Ollama (Local LLM)
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# Note: This requires ollama to be installed on host or use ollama/ollama image
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# Uncomment if you want to run Ollama in Docker
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# ollama:
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# image: ollama/ollama:latest
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# container_name: dagi-ollama
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# ports:
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# - "11434:11434"
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# volumes:
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# - ollama-data:/root/.ollama
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# networks:
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# - dagi-network
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# restart: unless-stopped
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networks:
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dagi-network:
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driver: bridge
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name: dagi-network
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volumes:
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ollama-data:
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name: dagi-ollama-data
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