apiVersion: apps/v1
kind: Deployment
metadata:
  name: mail-classifier
  namespace: mailu
spec:
  replicas: 1
  selector:
    matchLabels:
      app: mail-classifier
  template:
    metadata:
      labels:
        app: mail-classifier
    spec:
      containers:
        - name: mail-classifier
          image: git.apps.sukany.cz/martin/mail-clasifier:latest
          imagePullPolicy: Always
          env:
            - name: IMAP_HOST
              value: "mailu-front.mailu.svc"
            - name: IMAP_PORT
              value: "993"
            - name: IMAP_USER
              valueFrom:
                secretKeyRef:
                  name: mail-classifier-secret
                  key: imap_user
            - name: IMAP_PASS
              valueFrom:
                secretKeyRef:
                  name: mail-classifier-secret
                  key: imap_pass

            # ---------- LLM backend konfigurace ----------
            # Volba backendu: "ollama" nebo "openwebui"
            - name: LLM_BACKEND
              value: "openwebui"

            # Pokud používáš OpenWebUI (OpenRouter connection),
            # v k8s máš service "open-webui-service" na portu 8080:
            - name: OPENWEBUI_URL
              value: "http://open-webui-service.open-webui.svc:8080"

            # User API token / service token z OpenWebUI,
            # ulož ho do secretu mail-classifier-secret pod klíčem "openwebui_api_key"
            - name: OPENWEBUI_API_KEY
              valueFrom:
                secretKeyRef:
                  name: mail-classifier-secret
                  key: openwebui_api_key

            # Jméno modelu v OpenWebUI (OpenRouter)
            # Použij přesně to, které vidíš v UI, např. "openai/gpt-5-mini"
            - name: MODEL_NAME
              value: "openai/gpt-5-nano"

            # ---------- Obecná konfigurace ----------
            - name: CHECK_INTERVAL
              value: "300"          # 5 minut
            - name: MAX_BODY_CHARS
              value: "2000"
            - name: LOG_LEVEL
              value: "INFO"         # na ladění DEBUG

            # Timeout / retry pro LLM (společné pro oba backendy)
            - name: LLM_TIMEOUT
              value: "120"
            - name: LLM_MAX_RETRIES
              value: "3"

          resources:
            requests:
              cpu: "100m"
              memory: "128Mi"
            limits:
              cpu: "500m"
              memory: "256Mi"