73a932d8be
Closes the loop: intel -> decision -> enforcement -> audit. High/critical cases propose response actions (alert SOC, push IOCs to perimeter firewall+DNS). Nothing fires automatically — each sits PROPOSED until a human approves, then it's POSTed to the enforcement sink (PSYC_SOAR_URL, default mock-cert /soar/enforce) and written to the ledger as ACTIONED. - models: ActionType / ActionStatus / ResponseAction - db: response_actions table - lines/respond.py: propose_for_case (idempotent, sev-gated), execute_action (fire + ledger + mark), reject_action; mock SOAR endpoint in mock_cert - cockpit /response page: proposed/enforced/declined tabs, ⚡ Enforce + decline, and the disco — a full-screen strobe + "ENFORCED" + IOC-scatter animation that fires on approval (respects prefers-reduced-motion) - cli: respond / actions / act-approve / act-reject - 8 tests; verified the full loop live (propose -> enforce -> disco -> SOAR receipt -> ledger ACTIONED row) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
80 lines
2.6 KiB
YAML
80 lines
2.6 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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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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# 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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