- pyproject.toml: uv workspace with 5 member packages (shared, gateway, router, orchestrator, llm-pool) - docker-compose.yml: PostgreSQL 16 + Redis 7 + Ollama services on konstruct-net - .env.example: all required env vars documented, konstruct_app role (not superuser) - scripts/init-db.sh: creates konstruct_app role at DB init time - packages/shared/shared/config.py: Pydantic Settings loading all env vars - packages/shared/shared/models/message.py: KonstructMessage, ChannelType, SenderInfo, MessageContent - packages/shared/shared/models/tenant.py: Tenant, Agent, ChannelConnection SQLAlchemy 2.0 models - packages/shared/shared/models/auth.py: PortalUser model for admin portal auth - packages/shared/shared/db.py: async SQLAlchemy engine, session factory, get_session dependency - packages/shared/shared/rls.py: current_tenant_id ContextVar and configure_rls_hook with parameterized SET LOCAL - packages/shared/shared/redis_keys.py: tenant-namespaced key constructors (rate_limit, idempotency, session, engaged_thread)
67 lines
1.4 KiB
YAML
67 lines
1.4 KiB
YAML
version: "3.9"
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networks:
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konstruct-net:
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driver: bridge
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volumes:
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postgres_data:
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redis_data:
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ollama_data:
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services:
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postgres:
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image: postgres:16-alpine
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container_name: konstruct-postgres
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environment:
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POSTGRES_DB: konstruct
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POSTGRES_USER: postgres
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POSTGRES_PASSWORD: postgres_dev
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volumes:
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- postgres_data:/var/lib/postgresql/data
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- ./scripts/init-db.sh:/docker-entrypoint-initdb.d/init-db.sh:ro
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ports:
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- "5432:5432"
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networks:
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- konstruct-net
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U postgres -d konstruct"]
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interval: 5s
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timeout: 5s
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retries: 10
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redis:
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image: redis:7-alpine
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container_name: konstruct-redis
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command: redis-server --save 60 1 --loglevel warning
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volumes:
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- redis_data:/data
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ports:
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- "6379:6379"
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networks:
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- konstruct-net
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healthcheck:
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test: ["CMD", "redis-cli", "ping"]
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interval: 5s
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timeout: 5s
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retries: 10
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ollama:
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image: ollama/ollama:latest
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container_name: konstruct-ollama
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volumes:
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- ollama_data:/root/.ollama
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ports:
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- "11434:11434"
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networks:
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- konstruct-net
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deploy:
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resources:
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reservations:
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devices:
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- driver: nvidia
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count: all
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capabilities: [gpu]
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# Service starts even if no GPU is available — GPU config is optional
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restart: unless-stopped
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