Files
HelmChartSammlung/charts/paperless-ai/values.yaml
Marko Oldenburg f3fbaf942e
All checks were successful
Build Helm Chart / helm-package (push) Successful in 4s
refactor: move Helm chart to standard directory structure
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.
2025-06-27 08:43:57 +02:00

153 lines
4.5 KiB
YAML

# Default values for paperless-ai.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
# This will set the replicaset count more information can be found here: https://kubernetes.io/docs/concepts/workloads/controllers/replicaset/
# Please keep this value to 1, while many instances running a crontab could lead to unknown results.
replicaCount: 1
# This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/
image:
repository: clusterzx/paperless-ai
# This sets the pull policy for images.
pullPolicy: IfNotPresent
# Overrides the image tag whose default is the chart appVersion.
# Use latest or nightly to be up2date.
tag: ""
# 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/
imagePullSecrets: []
# This is to override the chart name.
nameOverride: ""
fullnameOverride: ""
# This is for setting Kubernetes Annotations to a Pod.
# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
podAnnotations: {}
# This is for setting Kubernetes Labels to a Pod.
# For more information checkout: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
podLabels: {}
podSecurityContext: {}
# fsGroup: 2000
securityContext: {}
# capabilities:
# drop:
# - ALL
# readOnlyRootFilesystem: true
# runAsNonRoot: true
# runAsUser: 1000
# This is for setting up a service more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/
service:
# This sets the service type more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types
type: ClusterIP
# This sets the ports more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports
port: 3000
# This block is for setting up the ingress for more information can be found here: https://kubernetes.io/docs/concepts/services-networking/ingress/
ingress:
enabled: false
className: ""
annotations: {}
# kubernetes.io/ingress.class: nginx
# kubernetes.io/tls-acme: "true"
hosts:
- host: chart-example.local
paths:
- path: /
pathType: ImplementationSpecific
tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
resources: {}
# We usually recommend not to specify default resources and to leave this as a conscious
# choice for the user. This also increases chances charts run on environments with little
# resources, such as Minikube. If you do want to specify resources, uncomment the following
# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
# 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/
livenessProbe:
initialDelaySeconds: 90
httpGet:
path: /
# path: /health
port: http
readinessProbe:
initialDelaySeconds: 90
httpGet:
path: /
# path: /health
port: http
# paperless-ai config
paperless:
apiUrl: "http://paperless-ngx:8000"
apiToken:
ai:
provider: "openai"
addProcessedTag: yes
processedTagName: ai-processed
prompt:
useTags: yes
tags: Rechnung,Kontoauszug,Vertrag,Arbeitgeber
openAi:
apiKey:
model: "gpt-4o-mini"
ollama:
apiUrl: ""
model: ""
scanInterval: "*/30 * * * *"
systemPrompt: |-
Return the result EXCLUSIVELY as a JSON object. The Tags and Title MUST be in the language that is used in the document.:
{
"title": "xxxxx",
"correspondent": "xxxxxxxx",
"tags": ["Tag1", "Tag2", "Tag3", "Tag4"],
"document_date": "YYYY-MM-DD",
"language": "en/de/es/..."
}
processPredefinedDocuments: "no"
tags: "indexed,indexed2"
# additional envs, if neccessary
envs: []
# - name: CONFIG_PATH
# value: "/app/config"
nodeSelector: {}
tolerations: []
affinity: {}
# persistence volumes needed for configuration and processing data directory
persistence:
config:
mountPath: "/app/config/config.js"
subPath: "config.js"
envfile:
mountPath: "app/.env"
subPath: ".env"
data:
enabled: true
size: 1Gi
storageClass: standard
mountPath: "/app/data"