Update Paperless AI chart version and environment settings
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This commit updates the version of the Paperless AI Helm chart from 0.4.0 to 0.5.0 to reflect new changes and improvements. The PUID and PGID environment variables have been changed from 1027 and 100 to 1000 and 2000, respectively, to better accommodate user and group permissions. Additionally, the resource requests and limits have been adjusted to specify CPU and memory requirements (100m CPU and 128Mi memory), ensuring that the container operates within defined resource constraints. This change enhances performance and stability, making the chart more suitable for various deployment environments. No breaking changes were introduced, but users should verify their permissions align with the new PUID and PGID settings.
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@ -1,7 +1,7 @@
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apiVersion: v2
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name: paperless-ai
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description: Ein Helm Chart für Paperless AI, basierend auf der Docker Compose Konfiguration.
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version: 0.4.0
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version: 0.5.0
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appVersion: 3.0.7
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keywords:
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- paperless-ai
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@ -16,8 +16,8 @@ service:
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targetPort: 30000
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env:
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# PUID: 1027
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# PGID: 100
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PUID: 1000
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PGID: 2000
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PAPERLESS_AI_PORT: 30000
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# Konfiguration für persistente Speicherung (Persistent Volume Claim).
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@ -44,9 +44,9 @@ readinessProbe:
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securityContext:
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enabled: false
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pod:
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runAsUser: 1027
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runAsGroup: 100
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fsGroup: 100
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runAsUser: 1000
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runAsGroup: 2000
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fsGroup: 2000
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container:
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allowPrivilegeEscalation: false
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capabilities:
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@ -62,18 +62,12 @@ autoscaling:
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# Ressourcenanforderungen und -limits für den Container.
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resources:
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{}
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# Wir empfehlen in der Regel, keine Standardressourcen anzugeben und dies
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# dem Benutzer zu überlassen. Dies erhöht auch die Chancen, dass Charts
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# in Umgebungen mit geringen Ressourcen, wie Minikube, laufen.
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# Wenn du Ressourcen angeben möchtest, kommentiere die folgenden Zeilen aus,
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# passe sie bei Bedarf an und entferne die geschweiften Klammern nach 'resources:'.
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# limits:
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# cpu: 100m
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# memory: 128Mi
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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: 100m
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memory: 128Mi
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requests:
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cpu: 100m
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memory: 128Mi
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# Node-Selector für die Pod-Platzierung.
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nodeSelector: {}
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