# Secret paperless-ai-config managed via SOPS (argocd/secrets/paperless-ai-secrets.enc.yaml)
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: paperless-ai
  namespace: paperless
  labels:
    app.kubernetes.io/name: paperless-ai
spec:
  replicas: 1
  # Recreate, not RollingUpdate: paperless-ai-data is a single RWO PVC. With
  # RollingUpdate the new pod tries to mount the PVC while the old pod still
  # holds it -> "Multi-Attach error" / stuck Init:0/1 forever, rollout wedged
  # at "1 desired, 1 ready, 1 updated, 1 unavailable". Recreate terminates the
  # old pod first so the PVC detaches before the new one starts. Same pattern
  # as the Forgejo gitea Deployment.
  strategy:
    type: Recreate
  selector:
    matchLabels:
      app.kubernetes.io/name: paperless-ai
  template:
    metadata:
      labels:
        app.kubernetes.io/name: paperless-ai
    spec:
      tolerations:
        - key: node-role.kubernetes.io/control-plane
          operator: Exists
          effect: NoSchedule
      volumes:
        - name: paperless-ai-data
          persistentVolumeClaim:
            claimName: paperless-ai-data
        - name: paperless-ai-env-config
          configMap:
            name: paperless-ai-env
        - name: llm-key
          secret:
            secretName: paperless-llm-key
            defaultMode: 0400
      # No init container. The token used to be fetched once at pod start with a
      # client_credentials grant against a web app, which cannot work: a web app has
      # no such grant, and even a token that was minted would be dead within the hour
      # while this pod runs for weeks.
      #
      # llm-token-vendor runs beside the app instead. It signs a machine-key assertion,
      # exchanges it for a token, and rewrites /app/data/llm_token.txt at 80% of the
      # token lifetime. The vendor image keeps reading CUSTOM_API_KEY_FILE unchanged.
      # The key is re-read on every mint, so a rotation lands without a restart.
      containers:
        - name: llm-token-vendor
          image: forgejo.riotpiao.com/riotpiao-poimen/llm-token-vendor:0.1.0
          imagePullPolicy: Always
          args:
            - --token-url=https://zitadel.riotpiao.com/oauth/v2/token
            - --issuer=https://zitadel.riotpiao.com
            - --user-id=397072668735570071
            - --key-id=397072674272051351
            - --key-file=/var/run/llm-key/key
            - --scope=openid urn:zitadel:iam:org:project:id:396757796898471937:aud
            - --out=/app/data/llm_token.txt
          volumeMounts:
            - {name: paperless-ai-data, mountPath: /app/data}
            - {name: llm-key, mountPath: /var/run/llm-key, readOnly: true}
          securityContext:
            allowPrivilegeEscalation: false
            capabilities: {drop: ["ALL"]}
            runAsNonRoot: true
            runAsUser: 65532
            seccompProfile: {type: RuntimeDefault}
          resources:
            requests: {cpu: 10m, memory: 32Mi}
            limits: {cpu: 100m, memory: 64Mi}
        - name: paperless-ai
          image: clusterzx/paperless-ai:latest
          env:
            # Paperless-ngx connection
            - name: PAPERLESS_API_URL
              value: "http://paperless.paperless.svc.cluster.local:8000"
            - name: PAPERLESS_API_TOKEN
              valueFrom:
                secretKeyRef:
                  name: paperless-ai-config
                  key: PAPERLESS_API_TOKEN
            - name: PAPERLESS_USERNAME
              value: "admin"
            # LLM API — via public gateway with JWT auth
            - name: AI_PROVIDER
              value: "custom"
            - name: CUSTOM_BASE_URL
              value: "https://api.riotpiao.com/v1"
            # Token will be read from file at runtime by the application
            # The init container fetches it and stores in /app/data/llm_token.txt
            - name: CUSTOM_API_KEY_FILE
              value: "/app/data/llm_token.txt"
            - name: CUSTOM_MODEL
              value: "qwen2.5:3b-instruct"
            # Behavior - scan for new documents and tag them
            - name: SCAN_INTERVAL
              value: "60"
            - name: PROCESS_PREDEFINED_DOCUMENTS
              value: "no"
            - name: ADD_AI_TAG
              value: "yes"
            - name: AI_TAG_NAME
              value: "ai-processed"
            - name: USE_PROMPT_TAGS
              value: "yes"
            - name: ADD_AI_DESCRIPTIONS
              value: "yes"
          volumeMounts:
            - name: paperless-ai-data
              mountPath: /app/data
            - name: paperless-ai-env-config
              mountPath: /app/data/.env
              subPath: paperless-ai-config.env
          resources:
            requests:
              cpu: 100m
              memory: 512Mi
            limits:
              cpu: "1"
              memory: 2Gi