81 lines
2.4 KiB
YAML
81 lines
2.4 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: mail-classifier
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namespace: mailu
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: mail-classifier
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template:
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metadata:
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labels:
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app: mail-classifier
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spec:
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containers:
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- name: mail-classifier
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image: git.apps.sukany.cz/martin/mail-clasifier:latest
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imagePullPolicy: Always
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env:
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- name: IMAP_HOST
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value: "mailu-front.mailu.svc"
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- name: IMAP_PORT
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value: "993"
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- name: IMAP_USER
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valueFrom:
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secretKeyRef:
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name: mail-classifier-secret
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key: imap_user
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- name: IMAP_PASS
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valueFrom:
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secretKeyRef:
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name: mail-classifier-secret
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key: imap_pass
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# ---------- LLM backend konfigurace ----------
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# Volba backendu: "ollama" nebo "openwebui"
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- name: LLM_BACKEND
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value: "openwebui"
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# Pokud používáš OpenWebUI (OpenRouter connection),
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# v k8s máš service "open-webui-service" na portu 8080:
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- name: OPENWEBUI_URL
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value: "http://open-webui-service.open-webui.svc:8080"
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# User API token / service token z OpenWebUI,
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# ulož ho do secretu mail-classifier-secret pod klíčem "openwebui_api_key"
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- name: OPENWEBUI_API_KEY
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valueFrom:
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secretKeyRef:
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name: mail-classifier-secret
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key: openwebui_api_key
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# Jméno modelu v OpenWebUI (OpenRouter)
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# Použij přesně to, které vidíš v UI, např. "openai/gpt-5-mini"
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- name: MODEL_NAME
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value: "openai/gpt-5-mini"
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# ---------- Obecná konfigurace ----------
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- name: CHECK_INTERVAL
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value: "300" # 5 minut
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- name: MAX_BODY_CHARS
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value: "2000"
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- name: LOG_LEVEL
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value: "INFO" # na ladění DEBUG
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# Timeout / retry pro LLM (společné pro oba backendy)
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- name: LLM_TIMEOUT
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value: "120"
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- name: LLM_MAX_RETRIES
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value: "3"
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resources:
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requests:
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cpu: "100m"
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memory: "128Mi"
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limits:
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cpu: "500m"
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memory: "256Mi"
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