refactor: move Helm chart to standard directory structure
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This commit restructures the paperless-ai Helm chart by moving all files from the nested directory (charts/paperless-ai/paperless-ai/) to the standard Helm chart directory structure (charts/paperless-ai/). The change eliminates the redundant directory nesting that was causing issues with Helm chart packaging and installation. No functional changes were made to any files - this is purely a directory structure reorganization to follow Helm best practices and improve chart maintainability.
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152
charts/paperless-ai/values.yaml
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152
charts/paperless-ai/values.yaml
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# Default values for paperless-ai.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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# This will set the replicaset count more information can be found here: https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/
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# Please keep this value to 1, while many instances running a crontab could lead to unknown results.
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replicaCount: 1
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# This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/
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image:
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repository: clusterzx/paperless-ai
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# This sets the pull policy for images.
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pullPolicy: IfNotPresent
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# Overrides the image tag whose default is the chart appVersion.
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# Use latest or nightly to be up2date.
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tag: ""
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# This is for the secretes for pulling an image from a private repository more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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imagePullSecrets: []
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# This is to override the chart name.
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nameOverride: ""
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fullnameOverride: ""
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# This is for setting Kubernetes Annotations to a Pod.
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# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
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podAnnotations: {}
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# This is for setting Kubernetes Labels to a Pod.
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# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
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podLabels: {}
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podSecurityContext: {}
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# fsGroup: 2000
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securityContext: {}
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# capabilities:
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# drop:
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# - ALL
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# readOnlyRootFilesystem: true
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# runAsNonRoot: true
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# runAsUser: 1000
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# This is for setting up a service more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/
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service:
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# This sets the service type more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types
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type: ClusterIP
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# This sets the ports more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports
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port: 3000
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# This block is for setting up the ingress for more information can be found here: https://kubernetes.io/docs/concepts/services-networking/ingress/
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ingress:
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enabled: false
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className: ""
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annotations: {}
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# kubernetes.io/ingress.class: nginx
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# kubernetes.io/tls-acme: "true"
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hosts:
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- host: chart-example.local
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paths:
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- path: /
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pathType: ImplementationSpecific
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tls: []
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# - secretName: chart-example-tls
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# hosts:
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# - chart-example.local
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resources: {}
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after '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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# This is to setup the liveness and readiness probes more information can be found here: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/
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livenessProbe:
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initialDelaySeconds: 90
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httpGet:
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path: /
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# path: /health
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port: http
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readinessProbe:
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initialDelaySeconds: 90
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httpGet:
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path: /
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# path: /health
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port: http
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# paperless-ai config
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paperless:
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apiUrl: "http://paperless-ngx:8000"
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apiToken:
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ai:
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provider: "openai"
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addProcessedTag: yes
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processedTagName: ai-processed
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prompt:
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useTags: yes
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tags: Rechnung,Kontoauszug,Vertrag,Arbeitgeber
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openAi:
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apiKey:
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model: "gpt-4o-mini"
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ollama:
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apiUrl: ""
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model: ""
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scanInterval: "*/30 * * * *"
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systemPrompt: |-
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Return the result EXCLUSIVELY as a JSON object. The Tags and Title MUST be in the language that is used in the document.:
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{
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"title": "xxxxx",
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"correspondent": "xxxxxxxx",
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"tags": ["Tag1", "Tag2", "Tag3", "Tag4"],
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"document_date": "YYYY-MM-DD",
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"language": "en/de/es/..."
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}
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processPredefinedDocuments: "no"
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tags: "indexed,indexed2"
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# additional envs, if neccessary
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envs: []
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# - name: CONFIG_PATH
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# value: "/app/config"
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# persistence volumes needed for configuration and processing data directory
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persistence:
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config:
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mountPath: "/app/config/config.js"
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subPath: "config.js"
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envfile:
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mountPath: "app/.env"
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subPath: ".env"
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data:
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enabled: true
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size: 1Gi
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storageClass: standard
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mountPath: "/app/data"
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