values.yaml

expose:
  # Set how to expose the service. Set the type as "ingress", "clusterIP", "nodePort" or "loadBalancer"
  # and fill the information in the corresponding section
  type: ingress
  tls:
    # Enable TLS or not.
    # Delete the "ssl-redirect" annotations in "expose.ingress.annotations" when TLS is disabled and "expose.type" is "ingress"
    # Note: if the "expose.type" is "ingress" and TLS is disabled,
    # the port must be included in the command when pulling/pushing images.
    # Refer to https://github.com/goharbor/harbor/issues/5291 for details.
    enabled: true
    # The source of the tls certificate. Set as "auto", "secret"
    # or "none" and fill the information in the corresponding section
    # 1) auto: generate the tls certificate automatically
    # 2) secret: read the tls certificate from the specified secret.
    # The tls certificate can be generated manually or by cert manager
    # 3) none: configure no tls certificate for the ingress. If the default
    # tls certificate is configured in the ingress controller, choose this option
    certSource: auto
    auto:
      # The common name used to generate the certificate, it's necessary
      # when the type isn't "ingress"
      commonName: ""
    secret:
      # The name of secret which contains keys named:
      # "tls.crt" - the certificate
      # "tls.key" - the private key
      secretName: ""
  ingress:
    hosts:
      core: core.harbor.domain
    # set to the type of ingress controller if it has specific requirements.
    # leave as `default` for most ingress controllers.
    # set to `gce` if using the GCE ingress controller
    # set to `ncp` if using the NCP (NSX-T Container Plugin) ingress controller
    # set to `alb` if using the ALB ingress controller
    # set to `f5-bigip` if using the F5 BIG-IP ingress controller
    controller: default
    ## Allow .Capabilities.KubeVersion.Version to be overridden while creating ingress
    kubeVersionOverride: ""
    className: ""
    annotations:
      # note different ingress controllers may require a different ssl-redirect annotation
      # for Envoy, use ingress.kubernetes.io/force-ssl-redirect: "true" and remove the nginx lines below
      ingress.kubernetes.io/ssl-redirect: "true"
      ingress.kubernetes.io/proxy-body-size: "0"
      nginx.ingress.kubernetes.io/ssl-redirect: "true"
      nginx.ingress.kubernetes.io/proxy-body-size: "0"
    # ingress-specific labels
    labels: {}
  clusterIP:
    # The name of ClusterIP service
    name: harbor
    # The ip address of the ClusterIP service (leave empty for acquiring dynamic ip)
    staticClusterIP: ""
    ports:
      # The service port Harbor listens on when serving HTTP
      httpPort: 80
      # The service port Harbor listens on when serving HTTPS
      httpsPort: 443
    # Annotations on the ClusterIP service
    annotations: {}
    # ClusterIP-specific labels
    labels: {}
  nodePort:
    # The name of NodePort service
    name: harbor
    ports:
      http:
        # The service port Harbor listens on when serving HTTP
        port: 80
        # The node port Harbor listens on when serving HTTP
        nodePort: 30002
      https:
        # The service port Harbor listens on when serving HTTPS
        port: 443
        # The node port Harbor listens on when serving HTTPS
        nodePort: 30003
    # Annotations on the nodePort service
    annotations: {}
    # nodePort-specific labels
    labels: {}
  loadBalancer:
    # The name of LoadBalancer service
    name: harbor
    # Set the IP if the LoadBalancer supports assigning IP
    IP: ""
    ports:
      # The service port Harbor listens on when serving HTTP
      httpPort: 80
      # The service port Harbor listens on when serving HTTPS
      httpsPort: 443
    # Annotations on the loadBalancer service
    annotations: {}
    # loadBalancer-specific labels
    labels: {}
    sourceRanges: []

# The external URL for Harbor core service. It is used to
# 1) populate the docker/helm commands showed on portal
# 2) populate the token service URL returned to docker client
#
# Format: protocol://domain[:port]. Usually:
# 1) if "expose.type" is "ingress", the "domain" should be
# the value of "expose.ingress.hosts.core"
# 2) if "expose.type" is "clusterIP", the "domain" should be
# the value of "expose.clusterIP.name"
# 3) if "expose.type" is "nodePort", the "domain" should be
# the IP address of k8s node
#
# If Harbor is deployed behind the proxy, set it as the URL of proxy
externalURL: https://core.harbor.domain

# The persistence is enabled by default and a default StorageClass
# is needed in the k8s cluster to provision volumes dynamically.
# Specify another StorageClass in the "storageClass" or set "existingClaim"
# if you already have existing persistent volumes to use
#
# For storing images and charts, you can also use "azure", "gcs", "s3",
# "swift" or "oss". Set it in the "imageChartStorage" section
persistence:
  enabled: true
  # Setting it to "keep" to avoid removing PVCs during a helm delete
  # operation. Leaving it empty will delete PVCs after the chart deleted
  # (this does not apply for PVCs that are created for internal database
  # and redis components, i.e. they are never deleted automatically)
  resourcePolicy: "keep"
  persistentVolumeClaim:
    registry:
      # Use the existing PVC which must be created manually before bound,
      # and specify the "subPath" if the PVC is shared with other components
      existingClaim: ""
      # Specify the "storageClass" used to provision the volume. Or the default
      # StorageClass will be used (the default).
      # Set it to "-" to disable dynamic provisioning
      storageClass: ""
      subPath: ""
      accessMode: ReadWriteOnce
      size: 5Gi
      annotations: {}
    jobservice:
      jobLog:
        existingClaim: ""
        storageClass: ""
        subPath: ""
        accessMode: ReadWriteOnce
        size: 1Gi
        annotations: {}
    # If external database is used, the following settings for database will
    # be ignored
    database:
      existingClaim: ""
      storageClass: ""
      subPath: ""
      accessMode: ReadWriteOnce
      size: 1Gi
      annotations: {}
    # If external Redis is used, the following settings for Redis will
    # be ignored
    redis:
      existingClaim: ""
      storageClass: ""
      subPath: ""
      accessMode: ReadWriteOnce
      size: 1Gi
      annotations: {}
    trivy:
      existingClaim: ""
      storageClass: ""
      subPath: ""
      accessMode: ReadWriteOnce
      size: 5Gi
      annotations: {}
  # Define which storage backend is used for registry to store
  # images and charts. Refer to
  # https://github.com/distribution/distribution/blob/main/docs/content/about/configuration.md#storage
  # for the detail.
  imageChartStorage:
    # Specify whether to disable `redirect` for images and chart storage, for
    # backends which not supported it (such as using minio for `s3` storage type), please disable
    # it. To disable redirects, simply set `disableredirect` to `true` instead.
    # Refer to
    # https://github.com/distribution/distribution/blob/main/docs/configuration.md#redirect
    # for the detail.
    disableredirect: false
    # Specify the "caBundleSecretName" if the storage service uses a self-signed certificate.
    # The secret must contain keys named "ca.crt" which will be injected into the trust store
    # of registry's containers.
    # caBundleSecretName:

    # Specify the type of storage: "filesystem", "azure", "gcs", "s3", "swift",
    # "oss" and fill the information needed in the corresponding section. The type
    # must be "filesystem" if you want to use persistent volumes for registry
    type: filesystem
    filesystem:
      rootdirectory: /storage
      #maxthreads: 100
    azure:
      accountname: accountname
      accountkey: base64encodedaccountkey
      container: containername
      #realm: core.windows.net
      # To use existing secret, the key must be AZURE_STORAGE_ACCESS_KEY
      existingSecret: ""
    gcs:
      bucket: bucketname
      # The base64 encoded json file which contains the key
      encodedkey: base64-encoded-json-key-file
      #rootdirectory: /gcs/object/name/prefix
      #chunksize: "5242880"
      # To use existing secret, the key must be GCS_KEY_DATA
      existingSecret: ""
      useWorkloadIdentity: false
    s3:
      # Set an existing secret for S3 accesskey and secretkey
      # keys in the secret should be REGISTRY_STORAGE_S3_ACCESSKEY and REGISTRY_STORAGE_S3_SECRETKEY for registry
      #existingSecret: ""
      region: us-west-1
      bucket: bucketname
      #accesskey: awsaccesskey
      #secretkey: awssecretkey
      #regionendpoint: http://myobjects.local
      #encrypt: false
      #keyid: mykeyid
      #secure: true
      #skipverify: false
      #v4auth: true
      #chunksize: "5242880"
      #rootdirectory: /s3/object/name/prefix
      #storageclass: STANDARD
      #multipartcopychunksize: "33554432"
      #multipartcopymaxconcurrency: 100
      #multipartcopythresholdsize: "33554432"
    swift:
      authurl: https://storage.myprovider.com/v3/auth
      username: username
      password: password
      container: containername
      # keys in existing secret must be REGISTRY_STORAGE_SWIFT_PASSWORD, REGISTRY_STORAGE_SWIFT_SECRETKEY, REGISTRY_STORAGE_SWIFT_ACCESSKEY
      existingSecret: ""
      #region: fr
      #tenant: tenantname
      #tenantid: tenantid
      #domain: domainname
      #domainid: domainid
      #trustid: trustid
      #insecureskipverify: false
      #chunksize: 5M
      #prefix:
      #secretkey: secretkey
      #accesskey: accesskey
      #authversion: 3
      #endpointtype: public
      #tempurlcontainerkey: false
      #tempurlmethods:
    oss:
      accesskeyid: accesskeyid
      accesskeysecret: accesskeysecret
      region: regionname
      bucket: bucketname
      # key in existingSecret must be REGISTRY_STORAGE_OSS_ACCESSKEYSECRET
      existingSecret: ""
      #endpoint: endpoint
      #internal: false
      #encrypt: false
      #secure: true
      #chunksize: 10M
      #rootdirectory: rootdirectory

# The initial password of Harbor admin. Change it from portal after launching Harbor
# or give an existing secret for it
# key in secret is given via (default to HARBOR_ADMIN_PASSWORD)
# existingSecretAdminPassword:
existingSecretAdminPasswordKey: HARBOR_ADMIN_PASSWORD
harborAdminPassword: "Harbor12345"

# The internal TLS used for harbor components secure communicating. In order to enable https
# in each component tls cert files need to provided in advance.
internalTLS:
  # If internal TLS enabled
  enabled: false
  # enable strong ssl ciphers (default: false)
  strong_ssl_ciphers: false
  # There are three ways to provide tls
  # 1) "auto" will generate cert automatically
  # 2) "manual" need provide cert file manually in following value
  # 3) "secret" internal certificates from secret
  certSource: "auto"
  # The content of trust ca, only available when `certSource` is "manual"
  trustCa: ""
  # core related cert configuration
  core:
    # secret name for core's tls certs
    secretName: ""
    # Content of core's TLS cert file, only available when `certSource` is "manual"
    crt: ""
    # Content of core's TLS key file, only available when `certSource` is "manual"
    key: ""
  # jobservice related cert configuration
  jobservice:
    # secret name for jobservice's tls certs
    secretName: ""
    # Content of jobservice's TLS key file, only available when `certSource` is "manual"
    crt: ""
    # Content of jobservice's TLS key file, only available when `certSource` is "manual"
    key: ""
  # registry related cert configuration
  registry:
    # secret name for registry's tls certs
    secretName: ""
    # Content of registry's TLS key file, only available when `certSource` is "manual"
    crt: ""
    # Content of registry's TLS key file, only available when `certSource` is "manual"
    key: ""
  # portal related cert configuration
  portal:
    # secret name for portal's tls certs
    secretName: ""
    # Content of portal's TLS key file, only available when `certSource` is "manual"
    crt: ""
    # Content of portal's TLS key file, only available when `certSource` is "manual"
    key: ""
  # trivy related cert configuration
  trivy:
    # secret name for trivy's tls certs
    secretName: ""
    # Content of trivy's TLS key file, only available when `certSource` is "manual"
    crt: ""
    # Content of trivy's TLS key file, only available when `certSource` is "manual"
    key: ""

ipFamily:
  # ipv6Enabled set to true if ipv6 is enabled in cluster, currently it affected the nginx related component
  ipv6:
    enabled: true
  # ipv4Enabled set to true if ipv4 is enabled in cluster, currently it affected the nginx related component
  ipv4:
    enabled: true

imagePullPolicy: IfNotPresent

# Use this set to assign a list of default pullSecrets
imagePullSecrets:
#  - name: docker-registry-secret
#  - name: internal-registry-secret

# The update strategy for deployments with persistent volumes(jobservice, registry): "RollingUpdate" or "Recreate"
# Set it as "Recreate" when "RWM" for volumes isn't supported
updateStrategy:
  type: RollingUpdate

# debug, info, warning, error or fatal
logLevel: info

# The name of the secret which contains key named "ca.crt". Setting this enables the
# download link on portal to download the CA certificate when the certificate isn't
# generated automatically
caSecretName: ""

# The secret key used for encryption. Must be a string of 16 chars.
secretKey: "not-a-secure-key"
# If using existingSecretSecretKey, the key must be secretKey
existingSecretSecretKey: ""

# The proxy settings for updating trivy vulnerabilities from the Internet and replicating
# artifacts from/to the registries that cannot be reached directly
proxy:
  httpProxy:
  httpsProxy:
  noProxy: 127.0.0.1,localhost,.local,.internal
  components:
    - core
    - jobservice
    - trivy

# Run the migration job via helm hook
enableMigrateHelmHook: false

# The custom ca bundle secret, the secret must contain key named "ca.crt"
# which will be injected into the trust store for core, jobservice, registry, trivy components
# caBundleSecretName: ""

## UAA Authentication Options
# If you're using UAA for authentication behind a self-signed
# certificate you will need to provide the CA Cert.
# Set uaaSecretName below to provide a pre-created secret that
# contains a base64 encoded CA Certificate named `ca.crt`.
# uaaSecretName:

metrics:
  enabled: false
  core:
    path: /metrics
    port: 8001
  registry:
    path: /metrics
    port: 8001
  jobservice:
    path: /metrics
    port: 8001
  exporter:
    path: /metrics
    port: 8001
  ## Create prometheus serviceMonitor to scrape harbor metrics.
  ## This requires the monitoring.coreos.com/v1 CRD. Please see
  ## https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/user-guides/getting-started.md
  ##
  serviceMonitor:
    enabled: false
    additionalLabels: {}
    # Scrape interval. If not set, the Prometheus default scrape interval is used.
    interval: ""
    # Metric relabel configs to apply to samples before ingestion.
    metricRelabelings:
      []
      # - action: keep
    #   regex: 'kube_(daemonset|deployment|pod|namespace|node|statefulset).+'
    #   sourceLabels: [__name__]
    # Relabel configs to apply to samples before ingestion.
    relabelings:
      []
      # - sourceLabels: [__meta_kubernetes_pod_node_name]
      #   separator: ;
      #   regex: ^(.*)$
      #   targetLabel: nodename
    #   replacement: $1
    #   action: replace

trace:
  enabled: false
  # trace provider: jaeger or otel
  # jaeger should be 1.26+
  provider: jaeger
  # set sample_rate to 1 if you wanna sampling 100% of trace data; set 0.5 if you wanna sampling 50% of trace data, and so forth
  sample_rate: 1
  # namespace used to differentiate different harbor services
  # namespace:
  # attributes is a key value dict contains user defined attributes used to initialize trace provider
  # attributes:
  #   application: harbor
  jaeger:
    # jaeger supports two modes:
    #   collector mode(uncomment endpoint and uncomment username, password if needed)
    #   agent mode(uncomment agent_host and agent_port)
    endpoint: http://hostname:14268/api/traces
    # username:
    # password:
    # agent_host: hostname
    # export trace data by jaeger.thrift in compact mode
    # agent_port: 6831
  otel:
    endpoint: hostname:4318
    url_path: /v1/traces
    compression: false
    insecure: true
    # timeout is in seconds
    timeout: 10

# cache layer configurations
# if this feature enabled, harbor will cache the resource
# `project/project_metadata/repository/artifact/manifest` in the redis
# which help to improve the performance of high concurrent pulling manifest.
cache:
  # default is not enabled.
  enabled: false
  # default keep cache for one day.
  expireHours: 24

## set Container Security Context to comply with PSP restricted policy if necessary
## each of the conatiner will apply the same security context
## containerSecurityContext:{} is initially an empty yaml that you could edit it on demand, we just filled with a common template for convenience
containerSecurityContext:
  privileged: false
  allowPrivilegeEscalation: false
  seccompProfile:
    type: RuntimeDefault
  runAsNonRoot: true
  capabilities:
    drop:
      - ALL

# If service exposed via "ingress", the Nginx will not be used
nginx:
  image:
    repository: goharbor/nginx-photon
    tag: dev
  # set the service account to be used, default if left empty
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  replicas: 1
  revisionHistoryLimit: 10
  # resources:
  #  requests:
  #    memory: 256Mi
  #    cpu: 100m
  extraEnvVars: []
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  ## The priority class to run the pod as
  priorityClassName:

portal:
  image:
    repository: goharbor/harbor-portal
    tag: dev
  # set the service account to be used, default if left empty
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  replicas: 1
  revisionHistoryLimit: 10
  # resources:
  #  requests:
  #    memory: 256Mi
  #    cpu: 100m
  extraEnvVars: []
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  ## Additional service annotations
  serviceAnnotations: {}
  ## The priority class to run the pod as
  priorityClassName:

core:
  image:
    repository: goharbor/harbor-core
    tag: dev
  # set the service account to be used, default if left empty
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  replicas: 1
  revisionHistoryLimit: 10
  ## Startup probe values
  startupProbe:
    enabled: true
    initialDelaySeconds: 10
  # resources:
  #  requests:
  #    memory: 256Mi
  #    cpu: 100m
  extraEnvVars: []
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  ## Additional service annotations
  serviceAnnotations: {}
  ## The priority class to run the pod as
  priorityClassName:
  ## User settings configuration json string
  configureUserSettings:
  # The provider for updating project quota(usage), there are 2 options, redis or db.
  # By default it is implemented by db but you can configure it to redis which
  # can improve the performance of high concurrent pushing to the same project,
  # and reduce the database connections spike and occupies.
  # Using redis will bring up some delay for quota usage updation for display, so only
  # suggest switch provider to redis if you were ran into the db connections spike around
  # the scenario of high concurrent pushing to same project, no improvment for other scenes.
  quotaUpdateProvider: db # Or redis
  # Secret is used when core server communicates with other components.
  # If a secret key is not specified, Helm will generate one. Alternatively set existingSecret to use an existing secret
  # Must be a string of 16 chars.
  secret: ""
  # Fill in the name of a kubernetes secret if you want to use your own
  # If using existingSecret, the key must be secret
  existingSecret: ""
  # Fill the name of a kubernetes secret if you want to use your own
  # TLS certificate and private key for token encryption/decryption.
  # The secret must contain keys named:
  # "tls.key" - the private key
  # "tls.crt" - the certificate
  secretName: ""
  # If not specifying a preexisting secret, a secret can be created from tokenKey and tokenCert and used instead.
  # If none of secretName, tokenKey, and tokenCert are specified, an ephemeral key and certificate will be autogenerated.
  # tokenKey and tokenCert must BOTH be set or BOTH unset.
  # The tokenKey value is formatted as a multiline string containing a PEM-encoded RSA key, indented one more than tokenKey on the following line.
  tokenKey: |
  # If tokenKey is set, the value of tokenCert must be set as a PEM-encoded certificate signed by tokenKey, and supplied as a multiline string, indented one more than tokenCert on the following line.
  tokenCert: |
  # The XSRF key. Will be generated automatically if it isn't specified
  xsrfKey: ""
  # If using existingSecret, the key is defined by core.existingXsrfSecretKey
  existingXsrfSecret: ""
  # If using existingSecret, the key
  existingXsrfSecretKey: CSRF_KEY
  # The time duration for async update artifact pull_time and repository
  # pull_count, the unit is second. Will be 10 seconds if it isn't set.
  # eg. artifactPullAsyncFlushDuration: 10
  artifactPullAsyncFlushDuration:
  gdpr:
    deleteUser: false
    auditLogsCompliant: false

jobservice:
  image:
    repository: goharbor/harbor-jobservice
    tag: dev
  # set the service account to be used, default if left empty
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  replicas: 1
  revisionHistoryLimit: 10
  # resources:
  #   requests:
  #     memory: 256Mi
  #     cpu: 100m
  extraEnvVars: []
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints:
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  ## The priority class to run the pod as
  priorityClassName:
  maxJobWorkers: 10
  # The logger for jobs: "file", "database" or "stdout"
  jobLoggers:
    - file
    # - database
    # - stdout
  # The jobLogger sweeper duration (ignored if `jobLogger` is `stdout`)
  loggerSweeperDuration: 14 #days
  notification:
    webhook_job_max_retry: 3
    webhook_job_http_client_timeout: 3 # in seconds
  reaper:
    # the max time to wait for a task to finish, if unfinished after max_update_hours, the task will be mark as error, but the task will continue to run, default value is 24
    max_update_hours: 24
    # the max time for execution in running state without new task created
    max_dangling_hours: 168
  # Secret is used when job service communicates with other components.
  # If a secret key is not specified, Helm will generate one.
  # Must be a string of 16 chars.
  secret: ""
  # Use an existing secret resource
  existingSecret: ""
  # Key within the existing secret for the job service secret
  existingSecretKey: JOBSERVICE_SECRET

registry:
  registry:
    image:
      repository: goharbor/registry-photon
      tag: dev
    # resources:
    #  requests:
    #    memory: 256Mi
    #    cpu: 100m
    extraEnvVars: []
  controller:
    image:
      repository: goharbor/harbor-registryctl
      tag: dev
    # resources:
    #  requests:
    #    memory: 256Mi
    #    cpu: 100m
    extraEnvVars: []
  # set the service account to be used, default if left empty
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  replicas: 1
  revisionHistoryLimit: 10
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  ## The priority class to run the pod as
  priorityClassName:
  # Secret is used to secure the upload state from client
  # and registry storage backend.
  # See: https://github.com/distribution/distribution/blob/main/docs/configuration.md#http
  # If a secret key is not specified, Helm will generate one.
  # Must be a string of 16 chars.
  secret: ""
  # Use an existing secret resource
  existingSecret: ""
  # Key within the existing secret for the registry service secret
  existingSecretKey: REGISTRY_HTTP_SECRET
  # If true, the registry returns relative URLs in Location headers. The client is responsible for resolving the correct URL.
  relativeurls: false
  credentials:
    username: "harbor_registry_user"
    password: "harbor_registry_password"
    # If using existingSecret, the key must be REGISTRY_PASSWD and REGISTRY_HTPASSWD
    existingSecret: ""
    # Login and password in htpasswd string format. Excludes `registry.credentials.username`  and `registry.credentials.password`. May come in handy when integrating with tools like argocd or flux. This allows the same line to be generated each time the template is rendered, instead of the `htpasswd` function from helm, which generates different lines each time because of the salt.
    # htpasswdString: $apr1$XLefHzeG$Xl4.s00sMSCCcMyJljSZb0 # example string
    htpasswdString: ""
  middleware:
    enabled: false
    type: cloudFront
    cloudFront:
      baseurl: example.cloudfront.net
      keypairid: KEYPAIRID
      duration: 3000s
      ipfilteredby: none
      # The secret key that should be present is CLOUDFRONT_KEY_DATA, which should be the encoded private key
      # that allows access to CloudFront
      privateKeySecret: "my-secret"
  # enable purge _upload directories
  upload_purging:
    enabled: true
    # remove files in _upload directories which exist for a period of time, default is one week.
    age: 168h
    # the interval of the purge operations
    interval: 24h
    dryrun: false

trivy:
  # enabled the flag to enable Trivy scanner
  enabled: true
  image:
    # repository the repository for Trivy adapter image
    repository: goharbor/trivy-adapter-photon
    # tag the tag for Trivy adapter image
    tag: dev
  # set the service account to be used, default if left empty
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  # replicas the number of Pod replicas
  replicas: 1
  resources:
    requests:
      cpu: 200m
      memory: 512Mi
    limits:
      cpu: 1
      memory: 1Gi
  extraEnvVars: []
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints: []
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  ## The priority class to run the pod as
  priorityClassName:
  # debugMode the flag to enable Trivy debug mode with more verbose scanning log
  debugMode: false
  # vulnType a comma-separated list of vulnerability types. Possible values are `os` and `library`.
  vulnType: "os,library"
  # severity a comma-separated list of severities to be checked
  severity: "UNKNOWN,LOW,MEDIUM,HIGH,CRITICAL"
  # ignoreUnfixed the flag to display only fixed vulnerabilities
  ignoreUnfixed: false
  # insecure the flag to skip verifying registry certificate
  insecure: false
  # gitHubToken the GitHub access token to download Trivy DB
  #
  # Trivy DB contains vulnerability information from NVD, Red Hat, and many other upstream vulnerability databases.
  # It is downloaded by Trivy from the GitHub release page https://github.com/aquasecurity/trivy-db/releases and cached
  # in the local file system (`/home/scanner/.cache/trivy/db/trivy.db`). In addition, the database contains the update
  # timestamp so Trivy can detect whether it should download a newer version from the Internet or use the cached one.
  # Currently, the database is updated every 12 hours and published as a new release to GitHub.
  #
  # Anonymous downloads from GitHub are subject to the limit of 60 requests per hour. Normally such rate limit is enough
  # for production operations. If, for any reason, it's not enough, you could increase the rate limit to 5000
  # requests per hour by specifying the GitHub access token. For more details on GitHub rate limiting please consult
  # https://developer.github.com/v3/#rate-limiting
  #
  # You can create a GitHub token by following the instructions in
  # https://help.github.com/en/github/authenticating-to-github/creating-a-personal-access-token-for-the-command-line
  gitHubToken: ""
  # skipUpdate the flag to disable Trivy DB downloads from GitHub
  #
  # You might want to set the value of this flag to `true` in test or CI/CD environments to avoid GitHub rate limiting issues.
  # If the value is set to `true` you have to manually download the `trivy.db` file and mount it in the
  # `/home/scanner/.cache/trivy/db/trivy.db` path.
  skipUpdate: false
  # skipJavaDBUpdate If the flag is enabled you have to manually download the `trivy-java.db` file and mount it in the
  # `/home/scanner/.cache/trivy/java-db/trivy-java.db` path
  #
  skipJavaDBUpdate: false
  # The offlineScan option prevents Trivy from sending API requests to identify dependencies.
  #
  # Scanning JAR files and pom.xml may require Internet access for better detection, but this option tries to avoid it.
  # For example, the offline mode will not try to resolve transitive dependencies in pom.xml when the dependency doesn't
  # exist in the local repositories. It means a number of detected vulnerabilities might be fewer in offline mode.
  # It would work if all the dependencies are in local.
  # This option doesn’t affect DB download. You need to specify skipUpdate as well as offlineScan in an air-gapped environment.
  offlineScan: false
  # Comma-separated list of what security issues to detect. Possible values are `vuln`, `config` and `secret`. Defaults to `vuln`.
  securityCheck: "vuln"
  # The duration to wait for scan completion
  timeout: 5m0s

database:
  # if external database is used, set "type" to "external"
  # and fill the connection information in "external" section
  type: internal
  internal:
    image:
      repository: goharbor/harbor-db
      tag: dev
    # set the service account to be used, default if left empty
    serviceAccountName: ""
    # mount the service account token
    automountServiceAccountToken: false
    # resources:
    #  requests:
    #    memory: 256Mi
    #    cpu: 100m
    # The timeout used in livenessProbe; 1 to 5 seconds
    livenessProbe:
      timeoutSeconds: 1
    # The timeout used in readinessProbe; 1 to 5 seconds
    readinessProbe:
      timeoutSeconds: 1
    extraEnvVars: []
    nodeSelector: {}
    tolerations: []
    affinity: {}
    ## The priority class to run the pod as
    priorityClassName:
    # The initial superuser password for internal database
    password: "changeit"
    # The size limit for Shared memory, pgSQL use it for shared_buffer
    # More details see:
    # https://github.com/goharbor/harbor/issues/15034
    shmSizeLimit: 512Mi
    initContainer:
      migrator: {}
      # resources:
      #  requests:
      #    memory: 128Mi
      #    cpu: 100m
      permissions: {}
      # resources:
      #  requests:
      #    memory: 128Mi
      #    cpu: 100m
  external:
    host: "192.168.0.1"
    port: "5432"
    username: "user"
    password: "password"
    coreDatabase: "registry"
    # if using existing secret, the key must be "password"
    existingSecret: ""
    # "disable" - No SSL
    # "require" - Always SSL (skip verification)
    # "verify-ca" - Always SSL (verify that the certificate presented by the
    # server was signed by a trusted CA)
    # "verify-full" - Always SSL (verify that the certification presented by the
    # server was signed by a trusted CA and the server host name matches the one
    # in the certificate)
    sslmode: "disable"
  # The maximum number of connections in the idle connection pool per pod (core+exporter).
  # If it <=0, no idle connections are retained.
  maxIdleConns: 100
  # The maximum number of open connections to the database per pod (core+exporter).
  # If it <= 0, then there is no limit on the number of open connections.
  # Note: the default number of connections is 1024 for harbor's postgres.
  maxOpenConns: 900
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}

redis:
  # if external Redis is used, set "type" to "external"
  # and fill the connection information in "external" section
  type: internal
  internal:
    image:
      repository: goharbor/redis-photon
      tag: dev
    # set the service account to be used, default if left empty
    serviceAccountName: ""
    # mount the service account token
    automountServiceAccountToken: false
    # resources:
    #  requests:
    #    memory: 256Mi
    #    cpu: 100m
    extraEnvVars: []
    nodeSelector: {}
    tolerations: []
    affinity: {}
    ## The priority class to run the pod as
    priorityClassName:
    # # jobserviceDatabaseIndex defaults to "1"
    # # registryDatabaseIndex defaults to "2"
    # # trivyAdapterIndex defaults to "5"
    # # harborDatabaseIndex defaults to "0", but it can be configured to "6", this config is optional
    # # cacheLayerDatabaseIndex defaults to "0", but it can be configured to "7", this config is optional
    jobserviceDatabaseIndex: "1"
    registryDatabaseIndex: "2"
    trivyAdapterIndex: "5"
    # harborDatabaseIndex: "6"
    # cacheLayerDatabaseIndex: "7"
  external:
    # support redis, redis+sentinel
    # addr for redis: <host_redis>:<port_redis>
    # addr for redis+sentinel: <host_sentinel1>:<port_sentinel1>,<host_sentinel2>:<port_sentinel2>,<host_sentinel3>:<port_sentinel3>
    addr: "192.168.0.2:6379"
    # The name of the set of Redis instances to monitor, it must be set to support redis+sentinel
    sentinelMasterSet: ""
    # The "coreDatabaseIndex" must be "0" as the library Harbor
    # used doesn't support configuring it
    # harborDatabaseIndex defaults to "0", but it can be configured to "6", this config is optional
    # cacheLayerDatabaseIndex defaults to "0", but it can be configured to "7", this config is optional
    coreDatabaseIndex: "0"
    jobserviceDatabaseIndex: "1"
    registryDatabaseIndex: "2"
    trivyAdapterIndex: "5"
    # harborDatabaseIndex: "6"
    # cacheLayerDatabaseIndex: "7"
    # username field can be an empty string, and it will be authenticated against the default user
    username: ""
    password: ""
    # If using existingSecret, the key must be REDIS_PASSWORD
    existingSecret: ""
  ## Additional deployment annotations
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}

exporter:
  image:
    repository: goharbor/harbor-exporter
    tag: dev
  serviceAccountName: ""
  # mount the service account token
  automountServiceAccountToken: false
  replicas: 1
  revisionHistoryLimit: 10
  # resources:
  #  requests:
  #    memory: 256Mi
  #    cpu: 100m
  extraEnvVars: []
  podAnnotations: {}
  ## Additional deployment labels
  podLabels: {}
  nodeSelector: {}
  tolerations: []
  affinity: {}
  # Spread Pods across failure-domains like regions, availability zones or nodes
  topologySpreadConstraints: []
  ## The priority class to run the pod as
  priorityClassName:
  # - maxSkew: 1
  #   topologyKey: topology.kubernetes.io/zone
  #   nodeTaintsPolicy: Honor
  #   whenUnsatisfiable: DoNotSchedule
  cacheDuration: 23
  cacheCleanInterval: 14400