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HelmChartSammlung/charts/paperless-ai/values.yaml
Marko Oldenburg f9df49ddd1
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Add support for Paperless AI API token and environment variables
This commit introduces several significant changes to the Paperless AI
Helm chart:

- Updated the version from 0.5.0 to 0.6.0 in `Chart.yaml` to reflect
  the new additions.
- Added a new template `paperlessApiSecret.yaml` to define a Kubernetes
  Secret for the Paperless API token. This allows secure storage of the
  API token, which is now a required value for communication with the
  Paperless application.
- Introduced a new function in `_helpers.tpl` called `generateEnv`
  that dynamically generates a `.env` file from various configuration
  values in `values.yaml`. This includes settings for the Paperless API
  URL, AI provider, tagging options, scanning intervals, and more.
- Updated `values.yaml` to include necessary configurations for the
  Paperless API, OpenAI, and other related settings, making it easier
  for users to configure the chart per their requirements.
- Adjusted resource limits and initial probe delays for improved
  performance and quicker health checks.

These enhancements provide better configurability and facilitate
secure management of sensitive credentials, thereby improving user
experience and application reliability.
2025-07-06 19:39:58 +02:00

132 lines
2.7 KiB
YAML

# 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"
replicaCount: 1
image:
repository: clusterzx/paperless-ai
pullPolicy: IfNotPresent
tag: ""
serviceAccount:
create: false
annotations: {}
name: ""
service:
type: ClusterIP
port: 30000
targetPort: 30000
env:
PUID: 1000
PGID: 2000
PAPERLESS_AI_PORT: 30000
# Konfiguration für persistente Speicherung (Persistent Volume Claim).
persistence:
enabled: true
storageClassName: ""
accessMode: ReadWriteOnce
size: 1Gi
livenessProbe:
initialDelaySeconds: 30
httpGet:
path: /
# path: /health
port: http
readinessProbe:
initialDelaySeconds: 30
httpGet:
path: /
# path: /health
port: http
# Sicherheitskontext-Einstellungen für Pod und Container.
securityContext:
enabled: false
pod:
runAsUser: 1000
runAsGroup: 2000
fsGroup: 2000
container:
allowPrivilegeEscalation: false
capabilities:
drop:
- ALL
# Konfiguration für Horizontal Pod Autoscaling (HPA).
autoscaling:
enabled: false
minReplicas: 1
maxReplicas: 10
targetCPUUtilizationPercentage: 80
# Ressourcenanforderungen und -limits für den Container.
resources:
limits:
cpu: 300m
memory: 640Mi
requests:
cpu: 100m
memory: 256Mi
# Node-Selector für die Pod-Platzierung.
nodeSelector: {}
# Toleranzen für die Pod-Platzierung auf Tainted Nodes.
tolerations: []
# Affinitätsregeln für die Pod-Platzierung.
affinity: {}
# Ingress-Konfiguration (optional, aber üblich für Webanwendungen).
ingress:
enabled: false
className: "" # Der Ingress-Klassenname (z.B. nginx, traefik).
annotations: {}
hosts:
- host: chart-example.local # Beispiel-Hostname.
paths:
- path: / # Der Pfad, der weitergeleitet werden soll.
pathType: ImplementationSpecific # Der Typ des Pfades (Prefix, Exact, ImplementationSpecific).
tls: [] # TLS-Konfiguration für den Ingress.
# - secretName: chart-example-tls # Name des Secrets, das das TLS-Zertifikat enthält.
# hosts:
# - chart-example.local # Hostnamen, für die das Zertifikat gültig ist.