argo-helm/charts/argo-workflows/values.yaml

images:
  # -- Common tag for Argo Workflows images. Defaults to `.Chart.AppVersion`.
  tag: ""
  # -- imagePullPolicy to apply to all containers
  pullPolicy: Always
  # -- Secrets with credentials to pull images from a private registry
  pullSecrets: []
  # - name: argo-pull-secret

## Custom resource configuration
crds:
  # -- Install and upgrade CRDs
  install: true
  # -- Keep CRDs on chart uninstall
  keep: true
  # -- Annotations to be added to all CRDs
  annotations: {}

# -- Create clusterroles that extend existing clusterroles to interact with argo-cd crds
## Ref: https://kubernetes.io/docs/reference/access-authn-authz/rbac/#aggregated-clusterroles
createAggregateRoles: true

# -- String to partially override "argo-workflows.fullname" template
nameOverride:

# -- String to fully override "argo-workflows.fullname" template
fullnameOverride:

# -- Override the namespace
# @default -- `.Release.Namespace`
namespaceOverride: ""

# -- Labels to set on all resources
commonLabels: {}

# -- Override the Kubernetes version, which is used to evaluate certain manifests
kubeVersionOverride: ""

# Override APIVersions
apiVersionOverrides:
  # -- String to override apiVersion of autoscaling rendered by this helm chart
  autoscaling: "" # autoscaling/v2
  # -- String to override apiVersion of GKE resources rendered by this helm chart
  cloudgoogle: "" # cloud.google.com/v1
  # -- String to override apiVersion of monitoring CRDs (ServiceMonitor) rendered by this helm chart
  monitoring: "" # monitoring.coreos.com/v1

# -- Restrict Argo to operate only in a single namespace (the namespace of the
# Helm release) by apply Roles and RoleBindings instead of the Cluster
# equivalents, and start workflow-controller with the --namespaced flag. Use it
# in clusters with strict access policy.
singleNamespace: false

workflow:
  # -- Deprecated; use controller.workflowNamespaces instead.
  namespace:
  serviceAccount:
    # -- Specifies whether a service account should be created
    create: false
    # -- Labels applied to created service account
    labels: {}
    # -- Annotations applied to created service account
    annotations: {}
    # -- Service account which is used to run workflows
    name: "argo-workflow"
    # -- Secrets with credentials to pull images from a private registry. Same format as `.Values.images.pullSecrets`
    pullSecrets: []
  rbac:
    # -- Adds Role and RoleBinding for the above specified service account to be able to run workflows.
    # A Role and Rolebinding pair is also created for each namespace in controller.workflowNamespaces (see below)
    create: true
    # -- Extra service accounts to be added to the RoleBinding
    serviceAccounts: []
      # - name: my-service-account
      #   namespace: my-namespace

controller:
  image:
    # -- Registry to use for the controller
    registry: quay.io
    # -- Registry to use for the controller
    repository: argoproj/workflow-controller
    # -- Image tag for the workflow controller. Defaults to `.Values.images.tag`.
    tag: ""
  # -- parallelism dictates how many workflows can be running at the same time
  parallelism:
  # -- Globally limits the rate at which pods are created.
  # This is intended to mitigate flooding of the Kubernetes API server by workflows with a large amount of
  # parallel nodes.
  resourceRateLimit: {}
    # limit: 10
    # burst: 1

  rbac:
    # -- Adds Role and RoleBinding for the controller.
    create: true
    # -- Allows controller to get, list, and watch certain k8s secrets
    secretWhitelist: []
    # -- Allows controller to get, list and watch all k8s secrets. Can only be used if secretWhitelist is empty.
    accessAllSecrets: false
    # -- Allows controller to create and update ConfigMaps. Enables memoization feature
    writeConfigMaps: false

  configMap:
    # -- Create a ConfigMap for the controller
    create: true
    # -- ConfigMap name
    name: ""
    # -- ConfigMap annotations
    annotations: {}

  # -- Limits the maximum number of incomplete workflows in a namespace
  namespaceParallelism:
  # -- Resolves ongoing, uncommon AWS EKS bug: https://github.com/argoproj/argo-workflows/pull/4224
  initialDelay:
  # -- deploymentAnnotations is an optional map of annotations to be applied to the controller Deployment
  deploymentAnnotations: {}
  # -- podAnnotations is an optional map of annotations to be applied to the controller Pods
  podAnnotations: {}
  # -- Optional labels to add to the controller pods
  podLabels: {}
  # -- SecurityContext to set on the controller pods
  podSecurityContext: {}
  # podPortName: http
  metricsConfig:
    # -- Enables prometheus metrics server
    enabled: false
    # -- Path is the path where metrics are emitted. Must start with a "/".
    path: /metrics
    # -- Frequency at which prometheus scrapes metrics
    interval: 30s
    # -- Port is the port where metrics are emitted
    port: 9090
    # -- How often custom metrics are cleared from memory
    metricsTTL: ""
    # -- Flag that instructs prometheus to ignore metric emission errors.
    ignoreErrors: false
    # --  Flag that use a self-signed cert for TLS
    secure: false
    # -- Container metrics port name
    portName: metrics
    # -- Service metrics port
    servicePort: 8080
    # -- Service metrics port name
    servicePortName: metrics
    # -- Flag to enable headless service
    headlessService: false
    # -- When true, honorLabels preserves the metric’s labels when they collide with the target’s labels.
    ## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#honorlabels
    honorLabels: false
    # -- ServiceMonitor relabel configs to apply to samples before scraping
    ## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#relabelconfig
    relabelings: []
    # -- ServiceMonitor metric relabel configs to apply to samples before ingestion
    ## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#endpoint
    metricRelabelings: []
    # -- ServiceMonitor will add labels from the service to the Prometheus metric
    ## Ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#servicemonitorspec
    targetLabels: []
  # -- the controller container's securityContext
  securityContext:
    readOnlyRootFilesystem: true
    runAsNonRoot: true
    allowPrivilegeEscalation: false
    capabilities:
      drop:
        - ALL
  # -- enable Workflow Archive to store the status of workflows. Postgres and MySQL (>= 5.7.8) are available.
  ## Ref: https://argo-workflows.readthedocs.io/en/stable/workflow-archive/
  persistence: {}
  # connectionPool:
  #   maxIdleConns: 100
  #   maxOpenConns: 0
  # # save the entire workflow into etcd and DB
  # nodeStatusOffLoad: false
  # # enable archiving of old workflows
  # archive: false
  # postgresql:
  #   host: localhost
  #   port: 5432
  #   database: postgres
  #   tableName: argo_workflows
  #   # the database secrets must be in the same namespace of the controller
  #   userNameSecret:
  #     name: argo-postgres-config
  #     key: username
  #   passwordSecret:
  #     name: argo-postgres-config
  #     key: password
  #   ssl: true
  #   # sslMode must be one of: disable, require, verify-ca, verify-full
  #   # you can find more information about those ssl options here: https://godoc.org/github.com/lib/pq
  #   sslMode: require
  # mysql:
  #   host: localhost
  #   port: 3306
  #   database: argo
  #   tableName: argo_workflows
  #   userNameSecret:
  #     name: argo-mysql-config
  #     key: username
  #   passwordSecret:
  #     name: argo-mysql-config
  #     key: password

  # -- Default values that will apply to all Workflows from this controller, unless overridden on the Workflow-level.
  # Only valid for 2.7+
  ## See more: https://argo-workflows.readthedocs.io/en/stable/default-workflow-specs/
  workflowDefaults: {}
  #   spec:
  #     ttlStrategy:
  #       secondsAfterCompletion: 86400
  #     # Ref: https://argo-workflows.readthedocs.io/en/stable/artifact-repository-ref/
  #     artifactRepositoryRef:
  #       configMap: my-artifact-repository # default is "artifact-repositories"
  #       key: v2-s3-artifact-repository # default can be set by the `workflows.argoproj.io/default-artifact-repository` annotation in config map.

  # -- Number of workflow workers
  workflowWorkers: # 32
  # -- Number of workflow TTL workers
  workflowTTLWorkers: # 4
  # -- Number of pod cleanup workers
  podCleanupWorkers: # 4
  # -- Number of cron workflow workers
  # Only valid for 3.5+
  cronWorkflowWorkers: # 8
  # -- Restricts the Workflows that the controller will process.
  # Only valid for 2.9+
  workflowRestrictions: {}
    # templateReferencing: Strict|Secure

  # telemetryConfig controls the path and port for prometheus telemetry. Telemetry is enabled and emitted in the same endpoint
  # as metrics by default, but can be overridden using this config.
  telemetryConfig:
    # -- Enables prometheus telemetry server
    enabled: false
    # -- telemetry path
    path: /telemetry
    # -- Frequency at which prometheus scrapes telemetry data
    interval: 30s
    # -- telemetry container port
    port: 8081
    # -- How often custom metrics are cleared from memory
    metricsTTL: ""
    # -- Flag that instructs prometheus to ignore metric emission errors.
    ignoreErrors: false
    # --  Flag that use a self-signed cert for TLS
    secure: false
    # -- telemetry service port
    servicePort: 8081
    # -- telemetry service port name
    servicePortName: telemetry
  serviceMonitor:
    # -- Enable a prometheus ServiceMonitor
    enabled: false
    # -- Prometheus ServiceMonitor labels
    additionalLabels: {}
    # -- Prometheus ServiceMonitor namespace
    namespace: "" # "monitoring"
  serviceAccount:
    # -- Create a service account for the controller
    create: true
    # -- Service account name
    name: ""
    # -- Labels applied to created service account
    labels: {}
    # -- Annotations applied to created service account
    annotations: {}

  # -- Workflow controller name string
  name: workflow-controller

  # -- Specify all namespaces where this workflow controller instance will manage
  # workflows. This controls where the service account and RBAC resources will
  # be created. Only valid when singleNamespace is false.
  workflowNamespaces:
    - default

  instanceID:
    # -- Configures the controller to filter workflow submissions
    # to only those which have a matching instanceID attribute.
    ## NOTE: If `instanceID.enabled` is set to `true` then either `instanceID.userReleaseName`
    ## or `instanceID.explicitID` must be defined.
    enabled: false
    # -- Use ReleaseName as instanceID
    useReleaseName: false
    # useReleaseName: true

    # -- Use a custom instanceID
    explicitID: ""
    # explicitID: unique-argo-controller-identifier

  logging:
    # -- Set the logging level (one of: `debug`, `info`, `warn`, `error`)
    level: info
    # -- Set the glog logging level
    globallevel: "0"
    # -- Set the logging format (one of: `text`, `json`)
    format: "text"

  # -- Service type of the controller Service
  serviceType: ClusterIP
  # -- Annotations to be applied to the controller Service
  serviceAnnotations: {}
  # -- Optional labels to add to the controller Service
  serviceLabels: {}
  # -- The class of the load balancer implementation
  loadBalancerClass: ""
  # -- Source ranges to allow access to service from. Only applies to service type `LoadBalancer`
  loadBalancerSourceRanges: []

  # -- Resource limits and requests for the controller
  resources: {}

  # -- Configure liveness [probe] for the controller
  # @default -- See [values.yaml]
  livenessProbe:
    httpGet:
      port: 6060
      path: /healthz
    failureThreshold: 3
    initialDelaySeconds: 90
    periodSeconds: 60
    timeoutSeconds: 30

  # -- Extra environment variables to provide to the controller container
  extraEnv: []
    # - name: FOO
    #   value: "bar"

  # -- Extra arguments to be added to the controller
  extraArgs: []
  # -- Additional volume mounts to the controller main container
  volumeMounts: []
  # -- Additional volumes to the controller pod
  volumes: []
  # -- The number of controller pods to run
  replicas: 1
  # -- The number of revisions to keep.
  revisionHistoryLimit: 10

  pdb:
    # -- Configure [Pod Disruption Budget] for the controller pods
    enabled: false
    # minAvailable: 1
    # maxUnavailable: 1

  # -- [Node selector]
  nodeSelector:
    kubernetes.io/os: linux
  # -- [Tolerations] for use with node taints
  tolerations: []
  # -- Assign custom [affinity] rules
  affinity: {}

  # -- Assign custom [TopologySpreadConstraints] rules to the workflow controller
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
  ## If labelSelector is left out, it will default to the labelSelector configuration of the deployment
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   whenUnsatisfiable: DoNotSchedule

  # -- Leverage a PriorityClass to ensure your pods survive resource shortages.
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
  priorityClassName: ""

  # -- Configure Argo Server to show custom [links]
  ## Ref: https://argo-workflows.readthedocs.io/en/stable/links/
  links: []
  # -- Configure Argo Server to show custom [columns]
  ## Ref: https://github.com/argoproj/argo-workflows/pull/10693
  columns: []
  # -- Set ui navigation bar background color
  navColor: ""
  clusterWorkflowTemplates:
    # -- Create a ClusterRole and CRB for the controller to access ClusterWorkflowTemplates.
    enabled: true
    # -- Extra service accounts to be added to the ClusterRoleBinding
    serviceAccounts: []
      # - name: my-service-account
      #   namespace: my-namespace
  # -- Extra containers to be added to the controller deployment
  extraContainers: []

  # -- Enables init containers to be added to the controller deployment
  extraInitContainers: []

  # -- Workflow retention by number of workflows
  retentionPolicy: {}
  #  completed: 10
  #  failed: 3
  #  errored: 3

  nodeEvents:
    # -- Enable to emit events on node completion.
    ## This can take up a lot of space in k8s (typically etcd) resulting in errors when trying to create new events:
    ## "Unable to create audit event: etcdserver: mvcc: database space exceeded"
    enabled: true

  # -- Configure when workflow controller runs in a different k8s cluster with the workflow workloads,
  # or needs to communicate with the k8s apiserver using an out-of-cluster kubeconfig secret.
  # @default -- `{}` (See [values.yaml])
  kubeConfig: {}
    # # name of the kubeconfig secret, may not be empty when kubeConfig specified
    # secretName: kubeconfig-secret
    # # key of the kubeconfig secret, may not be empty when kubeConfig specified
    # secretKey: kubeconfig
    # # mounting path of the kubeconfig secret, default to /kube/config
    # mountPath: /kubeconfig/mount/path
    # # volume name when mounting the secret, default to kubeconfig
    # volumeName: kube-config-volume

  # -- Specifies the duration in seconds before a terminating pod is forcefully killed. A zero value indicates that the pod will be forcefully terminated immediately.
  # @default -- `30` seconds (Kubernetes default)
  podGCGracePeriodSeconds:

  # -- The duration in seconds before the pods in the GC queue get deleted. A zero value indicates that the pods will be deleted immediately.
  # @default -- `5s` (Argo Workflows default)
  podGCDeleteDelayDuration: ""

# mainContainer adds default config for main container that could be overriden in workflows template
mainContainer:
  # -- imagePullPolicy to apply to Workflow main container. Defaults to `.Values.images.pullPolicy`.
  imagePullPolicy: ""
  # -- Resource limits and requests for the Workflow main container
  resources: {}
  # -- Adds environment variables for the Workflow main container
  env: []
  # -- Adds reference environment variables for the Workflow main container
  envFrom: []
  # -- sets security context for the Workflow main container
  securityContext: {}

# executor controls how the init and wait container should be customized
executor:
  image:
    # -- Registry to use for the Workflow Executors
    registry: quay.io
    # -- Repository to use for the Workflow Executors
    repository: argoproj/argoexec
    # -- Image tag for the workflow executor. Defaults to `.Values.images.tag`.
    tag: ""
    # -- Image PullPolicy to use for the Workflow Executors. Defaults to `.Values.images.pullPolicy`.
    pullPolicy: ""
  # -- Resource limits and requests for the Workflow Executors
  resources: {}
  # -- Passes arguments to the executor processes
  args: []
  # -- Adds environment variables for the executor.
  env: []
  # -- sets security context for the executor container
  securityContext: {}

server:
  # -- Deploy the Argo Server
  enabled: true
  # -- Value for base href in index.html. Used if the server is running behind reverse proxy under subpath different from /.
  ## only updates base url of resources on client side,
  ## it's expected that a proxy server rewrites the request URL and gets rid of this prefix
  ## https://github.com/argoproj/argo-workflows/issues/716#issuecomment-433213190
  baseHref: /
  image:
    # -- Registry to use for the server
    registry: quay.io
    # -- Repository to use for the server
    repository: argoproj/argocli
    # -- Image tag for the Argo Workflows server. Defaults to `.Values.images.tag`.
    tag: ""
  # -- optional map of annotations to be applied to the ui Deployment
  deploymentAnnotations: {}
  # -- optional map of annotations to be applied to the ui Pods
  podAnnotations: {}
  # -- Optional labels to add to the UI pods
  podLabels: {}
  # -- SecurityContext to set on the server pods
  podSecurityContext: {}
  rbac:
    # -- Adds Role and RoleBinding for the server.
    create: true
  # -- Servers container-level security context
  securityContext:
    readOnlyRootFilesystem: false
    runAsNonRoot: true
    allowPrivilegeEscalation: false
    capabilities:
      drop:
        - ALL
  # -- Server name string
  name: server
  # -- Service type for server pods
  serviceType: ClusterIP
  # -- Service port for server
  servicePort: 2746
  # -- Service node port
  serviceNodePort: # 32746
  # -- Service port name
  servicePortName: "" # http

  # -- Mapping between IP and hostnames that will be injected as entries in the pod's hosts files
  hostAliases: []
  # - ip: 10.20.30.40
  #   hostnames:
  #   - git.myhostname

  serviceAccount:
    # -- Create a service account for the server
    create: true
    # -- Service account name
    name: ""
    # -- Labels applied to created service account
    labels: {}
    # -- Annotations applied to created service account
    annotations: {}

  # -- Annotations to be applied to the UI Service
  serviceAnnotations: {}
  # -- Optional labels to add to the UI Service
  serviceLabels: {}
  # -- The class of the load balancer implementation
  loadBalancerClass: ""
  # -- Static IP address to assign to loadBalancer service type `LoadBalancer`
  loadBalancerIP: ""
  # -- Source ranges to allow access to service from. Only applies to service type `LoadBalancer`
  loadBalancerSourceRanges: []
  # -- Resource limits and requests for the server
  resources: {}
  # -- The number of server pods to run
  replicas: 1
  # -- The number of revisions to keep.
  revisionHistoryLimit: 10
  ## Argo Server Horizontal Pod Autoscaler
  autoscaling:
    # -- Enable Horizontal Pod Autoscaler ([HPA]) for the Argo Server
    enabled: false
    # -- Minimum number of replicas for the Argo Server [HPA]
    minReplicas: 1
    # -- Maximum number of replicas for the Argo Server [HPA]
    maxReplicas: 5
    # -- Average CPU utilization percentage for the Argo Server [HPA]
    targetCPUUtilizationPercentage: 50
    # -- Average memory utilization percentage for the Argo Server [HPA]
    targetMemoryUtilizationPercentage: 50
    # -- Configures the scaling behavior of the target in both Up and Down directions.
    # This is only available on HPA apiVersion `autoscaling/v2beta2` and newer
    behavior: {}
      # scaleDown:
      #  stabilizationWindowSeconds: 300
      #  policies:
      #   - type: Pods
      #     value: 1
      #     periodSeconds: 180
      # scaleUp:
      #   stabilizationWindowSeconds: 300
      #   policies:
      #   - type: Pods
      #     value: 2
  pdb:
    # -- Configure [Pod Disruption Budget] for the server pods
    enabled: false
    # minAvailable: 1
    # maxUnavailable: 1

  # -- [Node selector]
  nodeSelector:
    kubernetes.io/os: linux

  # -- [Tolerations] for use with node taints
  tolerations: []

  # -- Assign custom [affinity] rules
  affinity: {}

  # -- Assign custom [TopologySpreadConstraints] rules to the argo server
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
  ## If labelSelector is left out, it will default to the labelSelector configuration of the deployment
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   whenUnsatisfiable: DoNotSchedule

  # -- Leverage a PriorityClass to ensure your pods survive resource shortages
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/
  priorityClassName: ""

  # -- Run the argo server in "secure" mode. Configure this value instead of `--secure` in extraArgs.
  ## See the following documentation for more details on secure mode:
  ## https://argo-workflows.readthedocs.io/en/stable/tls/
  secure: false

  # -- Extra environment variables to provide to the argo-server container
  extraEnv: []
    # - name: FOO
    #   value: "bar"

  # -- Deprecated; use server.authModes instead.
  authMode: ""

  # -- A list of supported authentication modes. Available values are `server`, `client`, or `sso`. If you provide sso, please configure `.Values.server.sso` as well.
  ## Ref: https://argo-workflows.readthedocs.io/en/stable/argo-server-auth-mode/
  authModes: []

  # -- Extra arguments to provide to the Argo server binary.
  ## Ref: https://argo-workflows.readthedocs.io/en/stable/argo-server/#options
  extraArgs: []

  logging:
    # -- Set the logging level (one of: `debug`, `info`, `warn`, `error`)
    level: info
    # -- Set the glog logging level
    globallevel: "0"
    # -- Set the logging format (one of: `text`, `json`)
    format: "text"

  # -- Volume to be mounted in Pods for temporary files.
  tmpVolume:
    emptyDir: {}
  # -- Additional volume mounts to the server main container.
  volumeMounts: []
  # -- Additional volumes to the server pod.
  volumes: []

  ## Ingress configuration.
  # ref: https://kubernetes.io/docs/user-guide/ingress/
  ingress:
    # -- Enable an ingress resource
    enabled: false
    # -- Additional ingress annotations
    annotations: {}
    # -- Additional ingress labels
    labels: {}
    # -- Defines which ingress controller will implement the resource
    ingressClassName: ""

    # -- List of ingress hosts
    ## Hostnames must be provided if Ingress is enabled.
    ## Secrets must be manually created in the namespace
    hosts: []
      # - argoworkflows.example.com

    # -- List of ingress paths
    paths:
      - /

    # -- Ingress path type. One of `Exact`, `Prefix` or `ImplementationSpecific`
    pathType: Prefix
    # -- Additional ingress paths
    extraPaths: []
      # - path: /*
      #   backend:
      #     serviceName: ssl-redirect
      #     servicePort: use-annotation
      ## for Kubernetes >=1.19 (when "networking.k8s.io/v1" is used)
      # - path: /*
      #   pathType: Prefix
      #   backend:
      #     service
      #       name: ssl-redirect
      #       port:
      #         name: use-annotation

    # -- Ingress TLS configuration
    tls: []
      # - secretName: argoworkflows-example-tls
      #   hosts:
      #     - argoworkflows.example.com

  ## Create a Google Backendconfig  for use with the GKE Ingress Controller
  ## https://cloud.google.com/kubernetes-engine/docs/how-to/ingress-configuration#configuring_ingress_features_through_backendconfig_parameters
  GKEbackendConfig:
    # -- Enable BackendConfig custom resource for Google Kubernetes Engine
    enabled: false
    # -- [BackendConfigSpec]
    spec: {}
  #  spec:
  #    iap:
  #      enabled: true
  #      oauthclientCredentials:
  #        secretName: argoworkflows-secret

  ## Create a Google Managed Certificate for use with the GKE Ingress Controller
  ## https://cloud.google.com/kubernetes-engine/docs/how-to/managed-certs
  GKEmanagedCertificate:
    # -- Enable ManagedCertificate custom resource for Google Kubernetes Engine.
    enabled: false
    # -- Domains for the Google Managed Certificate
    domains:
    - argoworkflows.example.com

  ## Create a Google FrontendConfig Custom Resource, for use with the GKE Ingress Controller
  ## https://cloud.google.com/kubernetes-engine/docs/how-to/ingress-features#configuring_ingress_features_through_frontendconfig_parameters
  GKEfrontendConfig:
    # -- Enable FrontConfig custom resource for Google Kubernetes Engine
    enabled: false
    # -- [FrontendConfigSpec]
    spec: {}
  # spec:
  #   redirectToHttps:
  #     enabled: true
  #     responseCodeName: RESPONSE_CODE

  clusterWorkflowTemplates:
    # -- Create a ClusterRole and CRB for the server to access ClusterWorkflowTemplates.
    enabled: true
    # -- Give the server permissions to edit ClusterWorkflowTemplates.
    enableEditing: true

  # SSO configuration when SSO is specified as a server auth mode.
  sso:
    # -- Create SSO configuration. If you set `true` , please also set `.Values.server.authMode` as `sso`.
    enabled: false
    # -- The root URL of the OIDC identity provider
    issuer: https://accounts.google.com
    clientId:
      # -- Name of secret to retrieve the app OIDC client ID
      name: argo-server-sso
      # -- Key of secret to retrieve the app OIDC client ID
      key: client-id
    clientSecret:
      # -- Name of a secret to retrieve the app OIDC client secret
      name: argo-server-sso
      # -- Key of a secret to retrieve the app OIDC client secret
      key: client-secret
    # -- The OIDC redirect URL. Should be in the form <argo-root-url>/oauth2/callback.
    redirectUrl: ""
    rbac:
      # -- Adds ServiceAccount Policy to server (Cluster)Role.
      enabled: true
    # -- Whitelist to allow server to fetch Secrets
    ## When present, restricts secrets the server can read to a given list.
    ## You can use it to restrict the server to only be able to access the
    ## service account token secrets that are associated with service accounts
    ## used for authorization.
      secretWhitelist: []
    # -- Scopes requested from the SSO ID provider
    ## The 'groups' scope requests group membership information, which is usually used for authorization decisions.
    scopes: []
      # - groups
    # -- Define how long your login is valid for (in hours)
    ## If omitted, defaults to 10h.
    sessionExpiry: ""
    # -- Alternate root URLs that can be included for some OIDC providers
    issuerAlias: ""
    # -- Override claim name for OIDC groups
    customGroupClaimName: ""
    # -- Specify the user info endpoint that contains the groups claim
    ## Configure this if your OIDC provider provides groups information only using the user-info endpoint (e.g. Okta)
    userInfoPath: ""
    # -- Skip TLS verification for the HTTP client
    insecureSkipVerify: false
    # -- Filter the groups returned by the OIDC provider
    ## A logical "OR" is used between each regex in the list
    filterGroupsRegex: []
      # - ".*argo-wf.*"
      # - ".*argo-workflow.*"

  # -- Extra containers to be added to the server deployment
  extraContainers: []

  # -- Enables init containers to be added to the server deployment
  extraInitContainers: []

  # -- Specify postStart and preStop lifecycle hooks for server container
  lifecycle: {}

  # -- terminationGracePeriodSeconds for container lifecycle hook
  terminationGracePeriodSeconds: 30

# -- Array of extra K8s manifests to deploy
extraObjects: []
  # - apiVersion: secrets-store.csi.x-k8s.io/v1
  #   kind: SecretProviderClass
  #   metadata:
  #     name: argo-server-sso
  #   spec:
  #     provider: aws
  #     parameters:
  #       objects: |
  #         - objectName: "argo/server/sso"
  #           objectType: "secretsmanager"
  #           jmesPath:
  #               - path: "client_id"
  #                 objectAlias: "client_id"
  #               - path: "client_secret"
  #                 objectAlias: "client_secret"
  #     secretObjects:
  #     - data:
  #       - key: client_id
  #         objectName: client_id
  #       - key: client_secret
  #         objectName: client_secret
  #       secretName: argo-server-sso-secrets-store
  #       type: Opaque

# -- Use static credentials for S3 (eg. when not using AWS IRSA)
useStaticCredentials: true
artifactRepository:
  # -- Archive the main container logs as an artifact
  archiveLogs: false
  # -- Store artifact in a S3-compliant object store
  # @default -- See [values.yaml]
  s3: {}
    # # Note the `key` attribute is not the actual secret, it's the PATH to
    # # the contents in the associated secret, as defined by the `name` attribute.
    # accessKeySecret:
    #   name: "{{ .Release.Name }}-minio"
    #   key: accesskey
    # secretKeySecret:
    #   name: "{{ .Release.Name }}-minio"
    #   key: secretkey
    # # insecure will disable TLS. Primarily used for minio installs not configured with TLS
    # insecure: false
    # caSecret:
    #   name: ca-root
    #   key: cert.pem
    # bucket:
    # endpoint:
    # region:
    # roleARN:
    # useSDKCreds: true
    # encryptionOptions:
    #   enableEncryption: true
  # -- Store artifact in a GCS object store
  # @default -- `{}` (See [values.yaml])
  gcs: {}
    # bucket: <project>-argo
    # keyFormat: "{{ \"{{workflow.namespace}}/{{workflow.name}}/{{pod.name}}\" }}"
    # # serviceAccountKeySecret is a secret selector.
    # # It references the k8s secret named 'my-gcs-credentials'.
    # # This secret is expected to have have the key 'serviceAccountKey',
    # # containing the base64 encoded credentials
    # # to the bucket.
    # #
    # # If it's running on GKE and Workload Identity is used,
    # # serviceAccountKeySecret is not needed.
    # serviceAccountKeySecret:
    #   name: my-gcs-credentials
    #   key: serviceAccountKey
  # -- Store artifact in Azure Blob Storage
  # @default -- `{}` (See [values.yaml])
  azure: {}
    # endpoint: https://mystorageaccountname.blob.core.windows.net
    # container: my-container-name
    # blobNameFormat: path/in/container
    # # accountKeySecret is a secret selector.
    # # It references the k8s secret named 'my-azure-storage-credentials'.
    # # This secret is expected to have have the key 'account-access-key',
    # # containing the base64 encoded credentials to the storage account.
    # # If a managed identity has been assigned to the machines running the
    # # workflow (e.g., https://docs.microsoft.com/en-us/azure/aks/use-managed-identity)
    # # then accountKeySecret is not needed, and useSDKCreds should be
    # # set to true instead:
    # useSDKCreds: true
    # accountKeySecret:
    #   name: my-azure-storage-credentials
    #   key: account-access-key

# -- The section of custom artifact repository.
# Utilize a custom artifact repository that is not one of the current base ones (s3, gcs, azure)
customArtifactRepository: {}
# artifactory:
#   repoUrl: https://artifactory.example.com/raw
#   usernameSecret:
#     name: artifactory-creds
#     key: username
#   passwordSecret:
#     name: artifactory-creds
#     key: password

# -- The section of [artifact repository ref](https://argo-workflows.readthedocs.io/en/stable/artifact-repository-ref/).
# Each map key is the name of configmap
# @default -- `{}` (See [values.yaml])
artifactRepositoryRef: {}
  # # -- 1st ConfigMap
  # # If you want to use this config map by default, name it "artifact-repositories".
  # # Otherwise, you can provide a reference to a
  # # different config map in `artifactRepositoryRef.configMap`.
  # artifact-repositories:
  #   # -- v3.0 and after - if you want to use a specific key, put that key into this annotation.
  #   annotations:
  #     workflows.argoproj.io/default-artifact-repository: default-v1-s3-artifact-repository
  #   # 1st data of configmap. See above artifactRepository or customArtifactRepository.
  #   default-v1-s3-artifact-repository:
  #     archiveLogs: false
  #     s3:
  #       bucket: my-bucket
  #       endpoint: minio:9000
  #       insecure: true
  #       accessKeySecret:
  #         name: my-minio-cred
  #         key: accesskey
  #       secretKeySecret:
  #         name: my-minio-cred
  #         key: secretkey
  #    # 2nd data
  #    oss-artifact-repository:
  #      archiveLogs: false
  #      oss:
  #        endpoint: http://oss-cn-zhangjiakou-internal.aliyuncs.com
  #        bucket: $mybucket
  #        # accessKeySecret and secretKeySecret are secret selectors.
  #        # It references the k8s secret named 'bucket-workflow-artifect-credentials'.
  #        # This secret is expected to have have the keys 'accessKey'
  #        # and 'secretKey', containing the base64 encoded credentials
  #        # to the bucket.
  #        accessKeySecret:
  #          name: $mybucket-credentials
  #          key: accessKey
  #        secretKeySecret:
  #          name: $mybucket-credentials
  #          key: secretKey
  # # 2nd ConfigMap
  # another-artifact-repositories:
  #   annotations:
  #     workflows.argoproj.io/default-artifact-repository: gcs
  #   gcs:
  #     bucket: my-bucket
  #     keyFormat: prefix/in/bucket/{{workflow.name}}/{{pod.name}}
  #     serviceAccountKeySecret:
  #       name: my-gcs-credentials
  #       key: serviceAccountKey

emissary:
  # -- The command/args for each image on workflow, needed when the command is not specified and the emissary executor is used.
  ## See more: https://argo-workflows.readthedocs.io/en/stable/workflow-executors/#emissary-emissary
  images: []
  #  argoproj/argosay:v2:
  #    cmd: [/argosay]
  #  docker/whalesay:latest:
  #    cmd: [/bin/bash]