b51a88d502
New tecnativa/docker-socket-proxy sidecar exposes only GET on containers/networks/info/ping; POST and DELETE are blocked. The cockpit queries it over the backend network — /var/run/docker.sock is never mounted into a web-facing container. cockpit/docker_view.py normalizes the daemon view: containers carry per-network IP/MAC + published_ports; networks carry subnet/gateway from IPAM; host_info pulls /info (degrades gracefully). topology() returns the combined snapshot. /admin/docker (admin-gated): a force-directed graph (pure SVG + vanilla JS, ~280 lines) renders the complete setup — a host node, switch nodes with subnet labels colored by driver, container nodes colored by state, member wires labeled with the container's IP on that network, uplinks from non-internal switches to the host labeled with the gateway, and dashed publish-edges from containers to the host for their published ports. Drag to rearrange, scroll to zoom, re-settle kicks the physics. Below the graph: containers table + grouped network cards as a textual mirror. 12 docker_view tests; verified live (32 containers, 11 switches, real subnets + gateways). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
99 lines
3.3 KiB
YAML
99 lines
3.3 KiB
YAML
# psyc — neuronetz.ai deployment stack.
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#
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# docker compose up -d --build # cockpit + mock-cert (no GPU)
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# docker compose --profile gpu up -d --build # + the live model (needs an NVIDIA GPU)
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#
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# The cockpit is fronted by the external `backend` network's nginx-proxy as
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# psyc.neuronetz.ai (point DNS for that name at the proxy host). mock-cert and
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# the inference server stay internal — no VIRTUAL_HOST, reachable only inside
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# `backend` by service name.
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#
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# WARNING: psyc has no built-in authentication. The reverse proxy / network
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# perimeter is the security boundary. See docs/deploy.md.
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services:
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cockpit:
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build: .
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image: psyc:latest
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command: ["psyc", "serve", "--host", "0.0.0.0", "--port", "8767"]
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env_file: .env # per-dev API keys (gitignored). cp .env.example .env first.
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environment:
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VIRTUAL_HOST: psyc.neuronetz.ai
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VIRTUAL_PORT: "8767"
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PSYC_MOCK_CERT_URL: http://mock-cert:8770
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PSYC_SOAR_URL: http://mock-cert:8770
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PSYC_INFERENCE_URL: http://inference:8771
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PSYC_DOCKER_PROXY: http://docker-socket-proxy:2375
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ports:
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- "8767:8767" # direct/debug access; the proxy serves psyc.neuronetz.ai on :80
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volumes:
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- ./data:/data
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networks: [backend]
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8767/healthz')"]
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interval: 30s
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timeout: 5s
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retries: 3
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mock-cert:
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image: psyc:latest
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command: ["psyc", "mock-cert", "--host", "0.0.0.0", "--port", "8770"]
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volumes:
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- ./data:/data
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networks: [backend]
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8770/healthz')"]
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interval: 30s
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timeout: 5s
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retries: 3
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# Read-only Docker daemon proxy. The cockpit's /admin/docker view queries this
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# over the backend network instead of touching /var/run/docker.sock directly,
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# so a compromise of the web app can't drive the daemon. Only GET on
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# containers/networks/ping is enabled — POST/DELETE/EXEC stay blocked.
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docker-socket-proxy:
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image: tecnativa/docker-socket-proxy:0.3
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environment:
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CONTAINERS: "1"
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NETWORKS: "1"
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PING: "1"
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INFO: "1"
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POST: "0"
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DELETE: "0"
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock:ro
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networks: [backend]
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restart: unless-stopped
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# The live fine-tuned model behind the Classifier bot. GPU-only — opt in with
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# `--profile gpu`. Uses the psyc-trainer image (built from Dockerfile.train).
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inference:
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image: psyc-trainer
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command: ["/scripts/serve_model.py", "--adapter", "/data/adapters/psyc-v5/final", "--host", "0.0.0.0", "--port", "8771"]
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volumes:
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- ./data:/data
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- ./scripts:/scripts
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networks: [backend]
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restart: unless-stopped
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profiles: ["gpu"]
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healthcheck:
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test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8771/healthz')"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 90s
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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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networks:
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backend:
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name: backend
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external: true
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