helm-charts/gitea-act-runner/values.yaml

# Default values for gitea-act-runner.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

replicaCount: 1

image:
  repository: gitea/act_runner
  pullPolicy: IfNotPresent
  # Overrides the image tag whose default is the chart appVersion.
  tag: "0.2.4"

imagePullSecrets: []
nameOverride: ""
fullnameOverride: ""

giteaInstance: "https://gitea.example.com"
token: "TOKEN"
configAsCode:
  enabled: true
  config:
    # Example configuration file, it's safe to copy this as the default config file without any modification.
    log:
      # The level of logging, can be trace, debug, info, warn, error, fatal
      level: info
    runner:
      # Where to store the registration result.
      file: .runner
      # Execute how many tasks concurrently at the same time.
      capacity: 100
      # Extra environment variables to run jobs.
      #envs:
      #  A_TEST_ENV_NAME_1: a_test_env_value_1
      #  A_TEST_ENV_NAME_2: a_test_env_value_2
      # Extra environment variables to run jobs from a file.
      # It will be ignored if it's empty or the file doesn't exist.
      env_file: .env
      # The timeout for a job to be finished.
      # Please note that the Gitea instance also has a timeout (3h by default) for the job.
      # So the job could be stopped by the Gitea instance if it's timeout is shorter than this.
      timeout: 3h
      # Whether skip verifying the TLS certificate of the Gitea instance.
      insecure: false
      # The timeout for fetching the job from the Gitea instance.
      fetch_timeout: 5s
      # The interval for fetching the job from the Gitea instance.
      fetch_interval: 2s
    cache:
      # Enable cache server to use actions/cache.
      enabled: true
      # The directory to store the cache data.
      # If it's empty, the cache data will be stored in $HOME/.cache/actcache.
      dir: /data/cache
      # The host of the cache server.
      # It's not for the address to listen, but the address to connect from job containers.
      # So 0.0.0.0 is a bad choice, leave it empty to detect automatically.
      host: ""
      # The port of the cache server.
      # 0 means to use a random available port.
      port: 0
    container:
      # Which network to use for the job containers. Could be bridge, host, none, or the name of a custom network.
      network: host
      # Whether to use privileged mode or not when launching task containers (privileged mode is required for Docker-in-Docker).
      privileged: true
      # And other options to be used when the container is started (eg, --add-host=my.gitea.url:host-gateway).
      options:
      # The parent directory of a job's working directory.
      # If it's empty, /workspace will be used.
      workdir_parent:

serviceAccount:
  # Specifies whether a service account should be created
  create: 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: ""

podAnnotations: {}

podSecurityContext: {}
  # fsGroup: 2000

securityContext:
  # capabilities:
  #   drop:
  #   - ALL
  # readOnlyRootFilesystem: true
  # runAsNonRoot: true
  # runAsUser: 1000

service:
  type: ClusterIP
  port: 80

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

autoscaling:
  enabled: false
  minReplicas: 1
  maxReplicas: 100
  targetCPUUtilizationPercentage: 80
  # targetMemoryUtilizationPercentage: 80

persistence:
  enabled: true
  annotations: {}
  ## PeerTube data Persistent Volume Storage Class
  ## If defined, storageClassName: <storageClass>
  ## If set to "-", storageClassName: "", which disables dynamic provisioning
  ## If undefined (the default) or set to null, no storageClassName spec is
  ##   set, choosing the default provisioner.  (gp2 on AWS, standard on
  ##   GKE, AWS & OpenStack)
  ##
  # storageClass: "-"

  ## A manually managed Persistent Volume and Claim
  ## Requires persistence.enabled: true
  ## If defined, PVC must be created manually before volume will be bound
  # existingClaim:

  accessMode: ReadWriteOnce
  size: 25Gi

nodeSelector: {}

tolerations: []

affinity: {}