docker/charts/hg-llm/values.yaml

# Default values for hg-llm.
# 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/
replicaCount: 1

# This sets the container image more information can be found here: https://kubernetes.io/docs/concepts/containers/images/
image:
  repository: hugegraph/graphrag
  # This sets the pull policy for images.
  pullPolicy: Always
  # Overrides the image tag whose default is the chart appVersion.
  tag: "v0.0.1"

# This is for the secrets 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: "hg-llm-service"

# TODO: use pvc to store vector & graph-backup data in "src/hugegraph_llm/resources/"
# Replace the default values with the user-configs from the configmap
#volumes:
#  - name: env-config
#    configMap:
#      name: hugegraph-llm-env
#      optional: true
#  - name: prompt-config
#    configMap:
#      name: hugegraph-llm-prompt-config
#      optional: true

# Volume mounts for the containers
# use 'kubectl create configmap hugegraph-llm-env --from-file=/path/to/.env' &
# 'kubectl create configmap hugegraph-llm-prompt-config --from-file=/path/to/config_prompt.yaml' to create configmap
#volumeMounts:
#  - name: env-config
#    mountPath: "/home/work/hugegraph-llm/.env"
#    subPath: ".env"
#    readOnly: true
#  - name: prompt-config
#    mountPath: "/home/work/hugegraph-llm/src/hugegraph_llm/resources/demo/config_prompt.yaml"
#    subPath: "config_prompt.yaml"
#    readOnly: true


# This section builds out the service account more information can be found here: https://kubernetes.io/docs/concepts/security/service-accounts/
serviceAccount:
  # Specifies whether a service account should be created
  create: true
  # Automatically mount a ServiceAccount's API credentials?
  automount: true
  # Annotations to add to the service account
  annotations: {}
  # The name of the service account to use.
  # If not set and create is true, a name is generated using the fullname template
  name: ""

# 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: NodePort
  # This sets the ports more information can be found here: https://kubernetes.io/docs/concepts/services-networking/service/#field-spec-ports
  port: 8080
  nodePort: 8039
  targetPort: 8001

# 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 specifying 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 set up 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:
#   httpGet:
#     path: /
#     port: http
# readinessProbe:
#   httpGet:
#     path: /
#     port: http

# This section is for setting up autoscaling more information can be found here: https://kubernetes.io/docs/concepts/workloads/autoscaling/
autoscaling:
  enabled: false
  minReplicas: 1
  maxReplicas: 100
  targetCPUUtilizationPercentage: 80
  # targetMemoryUtilizationPercentage: 80

nodeSelector: {}

tolerations: []

affinity: {}