# psyc — neuronetz.ai deployment stack.
#
#   docker compose up -d --build              # cockpit + mock-cert (no GPU)
#   docker compose --profile gpu up -d --build  # + the live model (needs an NVIDIA GPU)
#
# The cockpit is fronted by the external `backend` network's nginx-proxy as
# psyc.neuronetz.ai (point DNS for that name at the proxy host). mock-cert and
# the inference server stay internal — no VIRTUAL_HOST, reachable only inside
# `backend` by service name.
#
# WARNING: psyc has no built-in authentication. The reverse proxy / network
# perimeter is the security boundary. See docs/deploy.md.

services:
  cockpit:
    build: .
    image: psyc:latest
    command: ["psyc", "serve", "--host", "0.0.0.0", "--port", "8767"]
    env_file: .env       # per-dev API keys (gitignored). cp .env.example .env first.
    environment:
      VIRTUAL_HOST: psyc.neuronetz.ai
      VIRTUAL_PORT: "8767"
      PSYC_MOCK_CERT_URL: http://mock-cert:8770
      PSYC_INFERENCE_URL: http://inference:8771
    ports:
      - "8767:8767"          # direct/debug access; the proxy serves psyc.neuronetz.ai on :80
    volumes:
      - ./data:/data
    networks: [backend]
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8767/healthz')"]
      interval: 30s
      timeout: 5s
      retries: 3

  mock-cert:
    image: psyc:latest
    command: ["psyc", "mock-cert", "--host", "0.0.0.0", "--port", "8770"]
    volumes:
      - ./data:/data
    networks: [backend]
    restart: unless-stopped
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8770/healthz')"]
      interval: 30s
      timeout: 5s
      retries: 3

  # The live fine-tuned model behind the Classifier bot. GPU-only — opt in with
  # `--profile gpu`. Uses the psyc-trainer image (built from Dockerfile.train).
  inference:
    image: psyc-trainer
    command: ["/scripts/serve_model.py", "--adapter", "/data/adapters/psyc-v4/final", "--host", "0.0.0.0", "--port", "8771"]
    volumes:
      - ./data:/data
      - ./scripts:/scripts
    networks: [backend]
    restart: unless-stopped
    profiles: ["gpu"]
    healthcheck:
      test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8771/healthz')"]
      interval: 30s
      timeout: 5s
      retries: 3
      start_period: 90s
    deploy:
      resources:
        reservations:
          devices:
            - driver: nvidia
              count: all
              capabilities: [gpu]

networks:
  backend:
    name: backend
    external: true