Files
microdao-daarion/docker-compose.yml
Apple 382e661f1f feat: complete RAG pipeline integration (ingest + query + Memory)
Parser Service:
- Add /ocr/ingest endpoint (PARSER → RAG in one call)
- Add RAG_BASE_URL and RAG_TIMEOUT to config
- Add OcrIngestResponse schema
- Create file_converter utility for PDF/image → PNG bytes
- Endpoint accepts file, dao_id, doc_id, user_id
- Automatically parses with dots.ocr and sends to RAG Service

Router Integration:
- Add _handle_rag_query() method in RouterApp
- Combines Memory + RAG → LLM pipeline
- Get Memory context (facts, events, summaries)
- Query RAG Service for documents
- Build prompt with Memory + RAG documents
- Call LLM provider with combined context
- Return answer with citations

Clients:
- Create rag_client.py for Router (query RAG Service)
- Create memory_client.py for Router (get Memory context)

E2E Tests:
- Create e2e_rag_pipeline.sh script for full pipeline test
- Test ingest → query → router query flow
- Add E2E_RAG_README.md with usage examples

Docker:
- Add RAG_SERVICE_URL and MEMORY_SERVICE_URL to router environment
2025-11-16 05:02:14 -08:00

159 lines
3.7 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
- RAG_SERVICE_URL=http://rag-service:9500
- MEMORY_SERVICE_URL=http://memory-service:8000
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
- 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
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=${RBAC_DATABASE_URL:-sqlite:///rbac.db}
volumes:
- ./data/rbac:/app/data
- ./logs:/app/logs
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9200/health"]
interval: 30s
timeout: 10s
retries: 3
# RAG Service
rag-service:
build:
context: ./services/rag-service
dockerfile: Dockerfile
container_name: dagi-rag-service
ports:
- "9500:9500"
environment:
- PG_DSN=${PG_DSN:-postgresql+psycopg2://postgres:postgres@city-db:5432/daarion_city}
- EMBED_MODEL_NAME=${EMBED_MODEL_NAME:-BAAI/bge-m3}
- EMBED_DEVICE=${EMBED_DEVICE:-cpu}
- ROUTER_BASE_URL=http://router:9102
volumes:
- ./logs:/app/logs
- rag-model-cache:/root/.cache/huggingface
depends_on:
- router
networks:
- dagi-network
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:9500/health"]
interval: 30s
timeout: 10s
retries: 3
volumes:
rag-model-cache:
driver: local
networks:
dagi-network:
driver: bridge
name: dagi-network