charts/bitnami/airflow/values.yaml

# Copyright Broadcom, Inc. All Rights Reserved.
# SPDX-License-Identifier: APACHE-2.0

## @section Global parameters
## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass

## @param global.imageRegistry Global Docker image registry
## @param global.imagePullSecrets Global Docker registry secret names as an array
## @param global.defaultStorageClass Global default StorageClass for Persistent Volume(s)
##
global:
  imageRegistry: ""
  ## E.g.
  ## imagePullSecrets:
  ##   - myRegistryKeySecretName
  ##
  imagePullSecrets: []
  defaultStorageClass: ""
  ## Compatibility adaptations for Kubernetes platforms
  ##
  compatibility:
    ## Compatibility adaptations for Openshift
    ##
    openshift:
      ## @param global.compatibility.openshift.adaptSecurityContext Adapt the securityContext sections of the deployment to make them compatible with Openshift restricted-v2 SCC: remove runAsUser, runAsGroup and fsGroup and let the platform use their allowed default IDs. Possible values: auto (apply if the detected running cluster is Openshift), force (perform the adaptation always), disabled (do not perform adaptation)
      ##
      adaptSecurityContext: auto
    ## @param global.compatibility.omitEmptySeLinuxOptions If set to true, removes the seLinuxOptions from the securityContexts when it is set to an empty object
    ##
    omitEmptySeLinuxOptions: false

## @section Common parameters

## @param kubeVersion Override Kubernetes version
##
kubeVersion: ""
## @param nameOverride String to partially override common.names.name
##
nameOverride: ""
## @param fullnameOverride String to fully override common.names.fullname
##
fullnameOverride: ""
## @param namespaceOverride String to fully override common.names.namespace
##
namespaceOverride: ""
## @param commonLabels Labels to add to all deployed objects
##
commonLabels: {}
## @param commonAnnotations Annotations to add to all deployed objects
##
commonAnnotations: {}
## @param clusterDomain Kubernetes cluster domain name
##
clusterDomain: cluster.local
## @param extraDeploy Array of extra objects to deploy with the release
##
extraDeploy: []
## Diagnostic mode
## @param diagnosticMode.enabled Enable diagnostic mode (all probes will be disabled and the command will be overridden)
## @param diagnosticMode.command Command to override all containers in the chart release
## @param diagnosticMode.args Args to override all containers in the chart release
##
diagnosticMode:
  enabled: false
  command:
    - sleep
  args:
    - infinity

## @section Airflow common parameters

## Bitnami Airflow image version
## ref: https://hub.docker.com/r/bitnami/airflow/tags
## @param image.registry [default: REGISTRY_NAME] Airflow image registry
## @param image.repository [default: REPOSITORY_NAME/airflow] Airflow image repository
## @skip image.tag Airflow image tag (immutable tags are recommended)
## @param image.digest Airflow image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
## @param image.pullPolicy Airflow image pull policy
## @param image.pullSecrets Airflow image pull secrets
## @param image.debug Enable image debug mode
image:
  registry: docker.io
  repository: bitnami/airflow
  tag: 2.10.3-debian-12-r5
  digest: ""
  ## Specify a imagePullPolicy
  ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
  ## ref: https://kubernetes.io/docs/concepts/containers/images/#pre-pulled-images
  ##
  pullPolicy: IfNotPresent
  ## Optionally specify an array of imagePullSecrets.
  ## Secrets must be manually created in the namespace.
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
  ## e.g:
  ## pullSecrets:
  ##   - myRegistryKeySecretName
  ##
  pullSecrets: []
  ## Set to true if you would like to see extra information on logs
  ##
  debug: false

## Authentication parameters
## ref: https://github.com/bitnami/containers/tree/main/bitnami/airflow#environment-variables
##
auth:
  ## @param auth.username Username to access web UI
  ##
  username: user
  ## @param auth.password Password to access web UI
  ##
  password: ""
  ## @param auth.fernetKey Fernet key to secure connections
  ## ref: https://airflow.readthedocs.io/en/stable/howto/secure-connections.html
  ## ref: https://bcb.github.io/airflow/fernet-key
  ##
  fernetKey: ""
  ## @param auth.secretKey Secret key to run your flask app
  ## ref: https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#secret-key
  ##
  secretKey: ""
  ## @param auth.existingSecret Name of an existing secret to use for Airflow credentials
  ## `auth.password`, `auth.fernetKey`, and `auth.secretKey` will be ignored and picked up from this secret
  ## The secret must contain the keys `airflow-password`, `airflow-fernet-key` and `airflow-secret-key'
  ## The value is evaluated as a template
  ##
  existingSecret: ""
## @param executor Airflow executor. Allowed values: `SequentialExecutor`, `LocalExecutor`, `CeleryExecutor`, `KubernetesExecutor`, `CeleryKubernetesExecutor` and `LocalKubernetesExecutor`
## ref: http://airflow.apache.org/docs/stable/executor/index.html
##
executor: CeleryExecutor
## @param loadExamples Switch to load some Airflow examples
##
loadExamples: false
## @param configuration Specify content for Airflow config file (auto-generated based on other env. vars otherwise)
## e.g:
## configuration: |-
##   [core]
##   dags_folder=/opt/bitnami/airflow/dags
##   ...
##
configuration: ""
## @param existingConfigmap Name of an existing ConfigMap with the Airflow config file
##
existingConfigmap: ""
## Load custom DAGs files from a ConfigMap or Git repositories
## @param dags.enabled Enable loading DAGs from a ConfigMap or Git repositories
## @param dags.existingConfigmap Name of an existing ConfigMap with all the DAGs files you want to load in Airflow
## @param dags.repositories [array] Array of repositories from which to download DAG files
##
dags:
  enabled: false
  existingConfigmap: ""
  ## E.g:
  ## repositories:
  ##   - repository: https://github.com/myuser/myrepo
  ##     branch: main
  ##     name: my-dags
  ##     path: /
  ##
  repositories: []
  ## @param dags.sshKey SSH Private key used to clone/sync DAGs from Git repositories (ignored if dags.existingSshKeySecret is set)
  ##
  sshKey: ""
  ## @param dags.existingSshKeySecret Name of a secret containing the SSH private key used to clone/sync DAGs from Git repositories
  ##
  existingSshKeySecret: ""
  ## @param dags.existingSshKeySecretKey Key in the existing secret containing the SSH private key
  ##
  existingSshKeySecretKey: ""
## Load custom plugins from Git repositories
## @param plugins.enabled Enable loading plugins from Git repositories
## @param plugins.repositories [array] Array of repositories from which to download plugins
##
plugins:
  enabled: false
  ## E.g:
  ## repositories:
  ##   - repository: https://github.com/myuser/myrepo
  ##     branch: main
  ##     name: my-plugins
  ##     path: /
  ##
  repositories: []
  ## @param plugins.sshKey SSH Private key used to clone/sync plugins from Git repositories (ignored if plugins.existingSshKeySecret is set)
  ##
  sshKey: ""
  ## @param plugins.existingSshKeySecret Name of a secret containing the SSH private key used to clone/sync plugins from Git repositories
  ##
  existingSshKeySecret: ""
  ## @param plugins.existingSshKeySecretKey Key in the existing secret containing the SSH private key
  ##
  existingSshKeySecretKey: ""
## Default init Containers
##
defaultInitContainers:
  ## Airflow "prepare-config" init container
  ## Used to prepare the Airflow configuration files for main containers to use them
  ##
  prepareConfig:
    ## Configure "prepare-config" init-container Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.enabled Enabled "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in "prepare-config" init-containers
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.runAsUser Set runAsUser in "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.runAsGroup Set runAsUser in "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.runAsNonRoot Set runAsNonRoot in "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.readOnlyRootFilesystem Set readOnlyRootFilesystem in "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.privileged Set privileged in "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.allowPrivilegeEscalation Set allowPrivilegeEscalation in "prepare-config" init-containers' Security Context
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.capabilities.add List of capabilities to be added in "prepare-config" init-containers
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.capabilities.drop List of capabilities to be dropped in "prepare-config" init-containers
    ## @param defaultInitContainers.prepareConfig.containerSecurityContext.seccompProfile.type Set seccomp profile in "prepare-config" init-containers
    ##
    containerSecurityContext:
      enabled: true
      seLinuxOptions: {}
      runAsUser: 1001
      runAsGroup: 1001
      runAsNonRoot: true
      readOnlyRootFilesystem: true
      privileged: false
      allowPrivilegeEscalation: false
      capabilities:
        add: []
        drop: ["ALL"]
      seccompProfile:
        type: "RuntimeDefault"
    ## Airflow "prepare-config" init container resource requests and limits
    ## ref: http://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    ## @param defaultInitContainers.prepareConfig.resourcesPreset Set Airflow "prepare-config" init container resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if defaultInitContainers.prepareConfig.resources is set (defaultInitContainers.prepareConfig.resources is recommended for production).
    ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
    ##
    resourcesPreset: "nano"
    ## @param defaultInitContainers.prepareConfig.resources Set Airflow "prepare-config" init container requests and limits for different resources like CPU or memory (essential for production workloads)
    ## E.g:
    ## resources:
    ##   requests:
    ##     cpu: 2
    ##     memory: 512Mi
    ##   limits:
    ##     cpu: 3
    ##     memory: 1024Mi
    ##
    resources: {}
  ## Airflow "wait-for-db-migrations" init container
  ## Used to wait for db migrations to be ready
  ##
  waitForDBMigrations:
    ## Configure "wait-for-db-migrations" init-container Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.enabled Enabled "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in "wait-for-db-migrations" init-containers
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.runAsUser Set runAsUser in "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.runAsGroup Set runAsUser in "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.runAsNonRoot Set runAsNonRoot in "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.readOnlyRootFilesystem Set readOnlyRootFilesystem in "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.privileged Set privileged in "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.allowPrivilegeEscalation Set allowPrivilegeEscalation in "wait-for-db-migrations" init-containers' Security Context
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.capabilities.add List of capabilities to be added in "wait-for-db-migrations" init-containers
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.capabilities.drop List of capabilities to be dropped in "wait-for-db-migrations" init-containers
    ## @param defaultInitContainers.waitForDBMigrations.containerSecurityContext.seccompProfile.type Set seccomp profile in "wait-for-db-migrations" init-containers
    ##
    containerSecurityContext:
      enabled: true
      seLinuxOptions: {}
      runAsUser: 1001
      runAsGroup: 1001
      runAsNonRoot: true
      readOnlyRootFilesystem: true
      privileged: false
      allowPrivilegeEscalation: false
      capabilities:
        add: []
        drop: ["ALL"]
      seccompProfile:
        type: "RuntimeDefault"
    ## Airflow "wait-for-db-migrations" init container resource requests and limits
    ## ref: http://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    ## @param defaultInitContainers.waitForDBMigrations.resourcesPreset Set Airflow "wait-for-db-migrations" init container resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if defaultInitContainers.waitForDBMigrations.resources is set (defaultInitContainers.waitForDBMigrations.resources is recommended for production).
    ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
    ##
    resourcesPreset: "micro"
    ## @param defaultInitContainers.waitForDBMigrations.resources Set Airflow "wait-for-db-migrations" init container requests and limits for different resources like CPU or memory (essential for production workloads)
    ## E.g:
    ## resources:
    ##   requests:
    ##     cpu: 2
    ##     memory: 512Mi
    ##   limits:
    ##     cpu: 3
    ##     memory: 1024Mi
    ##
    resources: {}
  ## Airflow "load-dags-plugins" init container
  ## Used to load DAGs and/or plugins from a ConfigMap or Git repositories
  ##
  loadDAGsPlugins:
    ## @param defaultInitContainers.loadDAGsPlugins.command Override cmd
    ## @param defaultInitContainers.loadDAGsPlugins.args Override args
    ## @param defaultInitContainers.loadDAGsPlugins.extraVolumeMounts Add extra volume mounts
    ## @param defaultInitContainers.loadDAGsPlugins.extraEnvVars Add extra environment variables
    ## @param defaultInitContainers.loadDAGsPlugins.extraEnvVarsCM ConfigMap with extra environment variables
    ## @param defaultInitContainers.loadDAGsPlugins.extraEnvVarsSecret Secret with extra environment variables
    command: []
    args: []
    extraVolumeMounts: []
    extraEnvVars: []
    extraEnvVarsCM: ""
    extraEnvVarsSecret: ""
    ## Configure "load-dags-plugins" init-container Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.enabled Enabled "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in "load-dags-plugins" init-containers
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.runAsUser Set runAsUser in "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.runAsGroup Set runAsUser in "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.runAsNonRoot Set runAsNonRoot in "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.readOnlyRootFilesystem Set readOnlyRootFilesystem in "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.privileged Set privileged in "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.allowPrivilegeEscalation Set allowPrivilegeEscalation in "load-dags-plugins" init-containers' Security Context
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.capabilities.add List of capabilities to be added in "load-dags-plugins" init-containers
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.capabilities.drop List of capabilities to be dropped in "load-dags-plugins" init-containers
    ## @param defaultInitContainers.loadDAGsPlugins.containerSecurityContext.seccompProfile.type Set seccomp profile in "load-dags-plugins" init-containers
    ##
    containerSecurityContext:
      enabled: true
      seLinuxOptions: {}
      runAsUser: 1001
      runAsGroup: 1001
      runAsNonRoot: true
      readOnlyRootFilesystem: true
      privileged: false
      allowPrivilegeEscalation: false
      capabilities:
        add: []
        drop: ["ALL"]
      seccompProfile:
        type: "RuntimeDefault"
    ## Airflow "load-dags-plugins" init container resource requests and limits
    ## ref: http://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    ## @param defaultInitContainers.loadDAGsPlugins.resourcesPreset Set Airflow "load-dags-plugins" init container resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if defaultInitContainers.loadDAGsPlugins.resources is set (defaultInitContainers.loadDAGsPlugins.resources is recommended for production).
    ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
    ##
    resourcesPreset: "nano"
    ## @param defaultInitContainers.loadDAGsPlugins.resources Set Airflow "load-dags-plugins" init container requests and limits for different resources like CPU or memory (essential for production workloads)
    ## E.g:
    ## resources:
    ##   requests:
    ##     cpu: 2
    ##     memory: 512Mi
    ##   limits:
    ##     cpu: 3
    ##     memory: 1024Mi
    ##
    resources: {}
## Default sidecars
##
defaultSidecars:
  ## Airflow "sync-dags-plugins" sidecar
  ## Used to sync DAGs and/or plugins from Git repositories
  ##
  syncDAGsPlugins:
    ## @param defaultSidecars.syncDAGsPlugins.interval Interval in seconds to pull the git repository containing the DAGs and/or plugins
    ## @param defaultSidecars.syncDAGsPlugins.command Override cmd
    ## @param defaultSidecars.syncDAGsPlugins.args Override args
    ## @param defaultSidecars.syncDAGsPlugins.extraVolumeMounts Add extra volume mounts
    ## @param defaultSidecars.syncDAGsPlugins.extraEnvVars Add extra environment variables
    ## @param defaultSidecars.syncDAGsPlugins.extraEnvVarsCM ConfigMap with extra environment variables
    ## @param defaultSidecars.syncDAGsPlugins.extraEnvVarsSecret Secret with extra environment variables
    interval: 60
    command: []
    args: []
    extraVolumeMounts: []
    extraEnvVars: []
    extraEnvVarsCM: ""
    extraEnvVarsSecret: ""
    ## Configure "sync-dags-plugins" sidecar Security Context
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.enabled Enabled "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in "sync-dags-plugins" sidecars
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.runAsUser Set runAsUser in "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.runAsGroup Set runAsUser in "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.runAsNonRoot Set runAsNonRoot in "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.readOnlyRootFilesystem Set readOnlyRootFilesystem in "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.privileged Set privileged in "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.allowPrivilegeEscalation Set allowPrivilegeEscalation in "sync-dags-plugins" sidecars' Security Context
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.capabilities.add List of capabilities to be added in "sync-dags-plugins" sidecars
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.capabilities.drop List of capabilities to be dropped in "sync-dags-plugins" sidecars
    ## @param defaultSidecars.syncDAGsPlugins.containerSecurityContext.seccompProfile.type Set seccomp profile in "sync-dags-plugins" sidecars
    ##
    containerSecurityContext:
      enabled: true
      seLinuxOptions: {}
      runAsUser: 1001
      runAsGroup: 1001
      runAsNonRoot: true
      readOnlyRootFilesystem: true
      privileged: false
      allowPrivilegeEscalation: false
      capabilities:
        add: []
        drop: ["ALL"]
      seccompProfile:
        type: "RuntimeDefault"
    ## Airflow "sync-dags-plugins" sidecar resource requests and limits
    ## ref: http://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    ## @param defaultSidecars.syncDAGsPlugins.resourcesPreset Set Airflow "sync-dags-plugins" sidecar resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if defaultSidecars.syncDAGsPlugins.resources is set (defaultSidecars.syncDAGsPlugins.resources is recommended for production).
    ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
    ##
    resourcesPreset: "nano"
    ## @param defaultSidecars.syncDAGsPlugins.resources Set Airflow "sync-dags-plugins" sidecar requests and limits for different resources like CPU or memory (essential for production workloads)
    ## E.g:
    ## resources:
    ##   requests:
    ##     cpu: 2
    ##     memory: 512Mi
    ##   limits:
    ##     cpu: 3
    ##     memory: 1024Mi
    ##
    resources: {}
## @param extraEnvVars Add extra environment variables for all the Airflow pods
##
extraEnvVars: []
## @param extraEnvVarsCM ConfigMap with extra environment variables for all the Airflow pods
##
extraEnvVarsCM: ""
## @param extraEnvVarsSecret Secret with extra environment variables for all the Airflow pods
##
extraEnvVarsSecret: ""
## @param extraEnvVarsSecrets List of secrets with extra environment variables for all the Airflow pods
##
extraEnvVarsSecrets: []
## @param sidecars Add additional sidecar containers to all the Airflow pods
## Example:
## sidecars:
##   - name: your-image-name
##     image: your-image
##     imagePullPolicy: Always
##     ports:
##       - name: portname
##         containerPort: 1234
##
sidecars: []
## @param initContainers Add additional init containers to all the Airflow pods
## Example:
## initContainers:
##   - name: your-image-name
##     image: your-image
##     imagePullPolicy: Always
##     ports:
##       - name: portname
##         containerPort: 1234
##
initContainers: []
## @param extraVolumeMounts Optionally specify extra list of additional volumeMounts for all the Airflow pods
##
extraVolumeMounts: []
## @param extraVolumes Optionally specify extra list of additional volumes for the all the Airflow pods
##
extraVolumes: []

## @section Airflow webserver parameters
##
web:
  ## @param web.baseUrl URL used to access to Airflow webserver
  ##
  baseUrl: ""
  ## @param web.configuration Specify content for webserver_config.py (auto-generated based on other env. vars otherwise)
  ##
  configuration: ""
  ## @param web.existingConfigmap Name of an existing config map containing the Airflow webserver config file
  ##
  existingConfigmap: ""
  ## @param web.tls.enabled Enable TLS configuration for Airflow webserver
  ## @param web.tls.autoGenerated.enabled Enable automatic generation of TLS certificates
  ## @param web.tls.autoGenerated.engine Mechanism to generate the certificates (allowed values: helm, cert-manager)
  ## @param web.tls.autoGenerated.certManager.existingIssuer The name of an existing Issuer to use for generating the certificates (only for `cert-manager` engine)
  ## @param web.tls.autoGenerated.certManager.existingIssuerKind Existing Issuer kind, defaults to Issuer (only for `cert-manager` engine)
  ## @param web.tls.autoGenerated.certManager.keyAlgorithm Key algorithm for the certificates (only for `cert-manager` engine)
  ## @param web.tls.autoGenerated.certManager.keySize Key size for the certificates (only for `cert-manager` engine)
  ## @param web.tls.autoGenerated.certManager.duration Duration for the certificates (only for `cert-manager` engine)
  ## @param web.tls.autoGenerated.certManager.renewBefore Renewal period for the certificates (only for `cert-manager` engine)
  ## @param web.tls.ca CA certificate for TLS. Ignored if `tls.existingSecret` is set
  ## @param web.tls.cert TLS certificate for Airflow webserver. Ignored if `tls.master.existingSecret` is set
  ## @param web.tls.key TLS key for Airflow webserver. Ignored if `tls.master.existingSecret` is set
  ## @param web.tls.existingSecret The name of an existing Secret containing the Airflow webserver certificates for TLS
  ##
  tls:
    enabled: false
    autoGenerated:
      enabled: true
      engine: helm
      certManager:
        existingIssuer: ""
        existingIssuerKind: ""
        keySize: 2048
        keyAlgorithm: RSA
        duration: 2160h
        renewBefore: 360h
    ca: ""
    cert: ""
    key: ""
    existingSecret: ""
  ## @param web.command Override default container command (useful when using custom images)
  ##
  command: []
  ## @param web.args Override default container args (useful when using custom images)
  ##
  args: []
  ## @param web.extraEnvVars Array with extra environment variables to add Airflow webserver pods
  ##
  extraEnvVars: []
  ## @param web.extraEnvVarsCM ConfigMap containing extra environment variables for Airflow webserver pods
  ##
  extraEnvVarsCM: ""
  ## @param web.extraEnvVarsSecret Secret containing extra environment variables (in case of sensitive data) for Airflow webserver pods
  ##
  extraEnvVarsSecret: ""
  ## @param web.extraEnvVarsSecrets List of secrets with extra environment variables for Airflow webserver pods
  ##
  extraEnvVarsSecrets: []
  ## @param web.containerPorts.http Airflow webserver HTTP container port
  ##
  containerPorts:
    http: 8080
  ## @param web.replicaCount Number of Airflow webserver replicas
  ##
  replicaCount: 1
  ## Configure extra options for Airflow webserver containers' liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param web.livenessProbe.enabled Enable livenessProbe on Airflow webserver containers
  ## @param web.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param web.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param web.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param web.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param web.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param web.readinessProbe.enabled Enable readinessProbe on Airflow webserver containers
  ## @param web.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param web.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param web.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param web.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param web.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param web.startupProbe.enabled Enable startupProbe on Airflow webserver containers
  ## @param web.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param web.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param web.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param web.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param web.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 60
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param web.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param web.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param web.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## Airflow webserver resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param web.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if web.resources is set (web.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "medium"
  ## @param web.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## Configure Airflow webserver pods Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param web.podSecurityContext.enabled Enabled Airflow webserver pods' Security Context
  ## @param web.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
  ## @param web.podSecurityContext.sysctls Set kernel settings using the sysctl interface
  ## @param web.podSecurityContext.supplementalGroups Set filesystem extra groups
  ## @param web.podSecurityContext.fsGroup Set Airflow webserver pod's Security Context fsGroup
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## Configure Airflow webserver containers (only main one) Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param web.containerSecurityContext.enabled Enabled Airflow webserver containers' Security Context
  ## @param web.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
  ## @param web.containerSecurityContext.runAsUser Set Airflow webserver containers' Security Context runAsUser
  ## @param web.containerSecurityContext.runAsGroup Set Airflow webserver containers' Security Context runAsGroup
  ## @param web.containerSecurityContext.runAsNonRoot Set Airflow webserver containers' Security Context runAsNonRoot
  ## @param web.containerSecurityContext.privileged Set web container's Security Context privileged
  ## @param web.containerSecurityContext.allowPrivilegeEscalation Set web container's Security Context allowPrivilegeEscalation
  ## @param web.containerSecurityContext.readOnlyRootFilesystem Set web container's Security Context readOnlyRootFilesystem
  ## @param web.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ## @param web.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    privileged: false
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    capabilities:
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## @param web.lifecycleHooks for the Airflow webserver container(s) to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param web.automountServiceAccountToken Mount Service Account token in pod
  ##
  automountServiceAccountToken: false
  ## @param web.hostAliases Deployment pod host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param web.podLabels Add extra labels to the Airflow webserver pods
  ##
  podLabels: {}
  ## @param web.podAnnotations Add extra annotations to the Airflow webserver pods
  ##
  podAnnotations: {}
  ## @param web.affinity Affinity for Airflow webserver pods assignment (evaluated as a template)
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: `web.podAffinityPreset`, `web.podAntiAffinityPreset`, and `web.nodeAffinityPreset` will be ignored when it's set
  ##
  affinity: {}
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ## @param web.nodeAffinityPreset.key Node label key to match. Ignored if `web.affinity` is set.
  ## @param web.nodeAffinityPreset.type Node affinity preset type. Ignored if `web.affinity` is set. Allowed values: `soft` or `hard`
  ## @param web.nodeAffinityPreset.values Node label values to match. Ignored if `web.affinity` is set.
  ##
  nodeAffinityPreset:
    ## e.g:
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    type: ""
    ## e.g:
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param web.nodeSelector Node labels for Airflow webserver pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  ##
  nodeSelector: {}
  ## @param web.podAffinityPreset Pod affinity preset. Ignored if `web.affinity` is set. Allowed values: `soft` or `hard`.
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param web.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `web.affinity` is set. Allowed values: `soft` or `hard`.
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## @param web.tolerations Tolerations for Airflow webserver pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param web.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param web.priorityClassName Priority Class Name
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
  ##
  priorityClassName: ""
  ## @param web.schedulerName Use an alternate scheduler, e.g. "stork".
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param web.terminationGracePeriodSeconds Seconds Airflow webserver pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param web.updateStrategy.type Airflow webserver deployment strategy type
  ## @param web.updateStrategy.rollingUpdate Airflow webserver deployment rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param web.sidecars Add additional sidecar containers to the Airflow webserver pods
  ## Example:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param web.initContainers Add additional init containers to the Airflow webserver pods
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []
  ## @param web.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Airflow webserver pods
  ##
  extraVolumeMounts: []
  ## @param web.extraVolumes Optionally specify extra list of additional volumes for the Airflow webserver pods
  ##
  extraVolumes: []
  ## Airflow webserver Pod Disruption Budget
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/disruptions/
  ## @param web.pdb.create Deploy a pdb object for the Airflow webserver pods
  ## @param web.pdb.minAvailable Maximum number/percentage of unavailable Airflow webserver replicas
  ## @param web.pdb.maxUnavailable Maximum number/percentage of unavailable Airflow webserver replicas
  ##
  pdb:
    create: true
    minAvailable: ""
    maxUnavailable: ""
  ## Autoscaling configuration
  ## ref: https://kubernetes.io/docs/concepts/workloads/autoscaling/
  ##
  autoscaling:
    ## @param web.autoscaling.vpa.enabled Enable VPA for Airflow webserver
    ## @param web.autoscaling.vpa.annotations Annotations for VPA resource
    ## @param web.autoscaling.vpa.controlledResources List of resources that the VPA can control. Defaults to cpu and memory
    ## @param web.autoscaling.vpa.maxAllowed VPA max allowed resources for the pod
    ## @param web.autoscaling.vpa.minAllowed VPA min allowed resources for the pod
    ##
    vpa:
      enabled: false
      annotations: {}
      controlledResources: []
      maxAllowed: {}
      minAllowed: {}
      ## @param web.autoscaling.vpa.updatePolicy.updateMode Autoscaling update policy
      ## Specifies whether recommended updates are applied when a Pod is started and whether recommended updates are applied during the life of a Pod
      ## Possible values are "Off", "Initial", "Recreate", and "Auto".
      ##
      updatePolicy:
        updateMode: Auto
    ## @param web.autoscaling.hpa.enabled Enable HPA for Airflow webserver
    ## @param web.autoscaling.hpa.minReplicas Minimum number of replicas
    ## @param web.autoscaling.hpa.maxReplicas Maximum number of replicas
    ## @param web.autoscaling.hpa.targetCPU Target CPU utilization percentage
    ## @param web.autoscaling.hpa.targetMemory Target Memory utilization percentage
    ##
    hpa:
      enabled: false
      minReplicas: ""
      maxReplicas: ""
      targetCPU: ""
      targetMemory: ""
  ## Web Network Policies
  ## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  ##
  networkPolicy:
    ## @param web.networkPolicy.enabled Specifies whether a NetworkPolicy should be created
    ##
    enabled: true
    ## @param web.networkPolicy.allowExternal Don't require client label for connections
    ## The Policy model to apply. When set to false, only pods with the correct
    ## client label will have network access to the ports Web is listening
    ## on. When true, Web will accept connections from any source
    ## (with the correct destination port).
    ##
    allowExternal: true
    ## @param web.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
    ##
    allowExternalEgress: true
    ## @param web.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraIngress:
    ##   - ports:
    ##       - port: 1234
    ##     from:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    extraIngress: []
    ## @param web.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraEgress:
    ##   - ports:
    ##       - port: 1234
    ##     to:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    ##
    extraEgress: []
    ## @param web.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
    ## @param web.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
    ##
    ingressNSMatchLabels: {}
    ingressNSPodMatchLabels: {}

## @section Airflow scheduler parameters
##
scheduler:
  ## @param scheduler.replicaCount Number of scheduler replicas
  ##
  replicaCount: 1
  ## @param scheduler.command Override cmd
  ##
  command: []
  ## @param scheduler.args Override args
  ##
  args: []
  ## @param scheduler.extraEnvVars Add extra environment variables
  ##
  extraEnvVars: []
  ## @param scheduler.extraEnvVarsCM ConfigMap with extra environment variables
  ##
  extraEnvVarsCM: ""
  ## @param scheduler.extraEnvVarsSecret Secret with extra environment variables
  ##
  extraEnvVarsSecret: ""
  ## @param scheduler.extraEnvVarsSecrets List of secrets with extra environment variables for Airflow scheduler pods
  ##
  extraEnvVarsSecrets: []
  ## Configure extra options for Airflow scheduler containers' liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param scheduler.livenessProbe.enabled Enable livenessProbe on Airflow scheduler containers
  ## @param scheduler.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param scheduler.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param scheduler.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param scheduler.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param scheduler.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 15
    failureThreshold: 6
    successThreshold: 1
  ## @param scheduler.readinessProbe.enabled Enable readinessProbe on Airflow scheduler containers
  ## @param scheduler.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param scheduler.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param scheduler.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param scheduler.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param scheduler.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 15
    failureThreshold: 6
    successThreshold: 1
  ## @param scheduler.startupProbe.enabled Enable startupProbe on Airflow scheduler containers
  ## @param scheduler.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param scheduler.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param scheduler.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param scheduler.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param scheduler.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 60
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param scheduler.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param scheduler.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param scheduler.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## Airflow scheduler resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param scheduler.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if scheduler.resources is set (scheduler.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "small"
  ## @param scheduler.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## Configure Airflow scheduler pods Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param scheduler.podSecurityContext.enabled Enabled Airflow scheduler pods' Security Context
  ## @param scheduler.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
  ## @param scheduler.podSecurityContext.sysctls Set kernel settings using the sysctl interface
  ## @param scheduler.podSecurityContext.supplementalGroups Set filesystem extra groups
  ## @param scheduler.podSecurityContext.fsGroup Set Airflow scheduler pod's Security Context fsGroup
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## Configure Airflow scheduler containers (only main one) Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param scheduler.containerSecurityContext.enabled Enabled Airflow scheduler containers' Security Context
  ## @param scheduler.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
  ## @param scheduler.containerSecurityContext.runAsUser Set Airflow scheduler containers' Security Context runAsUser
  ## @param scheduler.containerSecurityContext.runAsGroup Set Airflow scheduler containers' Security Context runAsGroup
  ## @param scheduler.containerSecurityContext.runAsNonRoot Set Airflow scheduler containers' Security Context runAsNonRoot
  ## @param scheduler.containerSecurityContext.privileged Set scheduler container's Security Context privileged
  ## @param scheduler.containerSecurityContext.allowPrivilegeEscalation Set scheduler container's Security Context allowPrivilegeEscalation
  ## @param scheduler.containerSecurityContext.readOnlyRootFilesystem Set scheduler container's Security Context readOnlyRootFilesystem
  ## @param scheduler.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ## @param scheduler.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    privileged: false
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    capabilities:
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## @param scheduler.lifecycleHooks for the Airflow scheduler container(s) to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param scheduler.automountServiceAccountToken Mount Service Account token in pod
  ##
  automountServiceAccountToken: false
  ## @param scheduler.hostAliases Deployment pod host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param scheduler.podLabels Add extra labels to the Airflow scheduler pods
  ##
  podLabels: {}
  ## @param scheduler.podAnnotations Add extra annotations to the Airflow scheduler pods
  ##
  podAnnotations: {}
  ## @param scheduler.affinity Affinity for Airflow scheduler pods assignment (evaluated as a template)
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: `scheduler.podAffinityPreset`, `scheduler.podAntiAffinityPreset`, and `scheduler.nodeAffinityPreset` will be ignored when it's set
  ##
  affinity: {}
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ## @param scheduler.nodeAffinityPreset.key Node label key to match. Ignored if `scheduler.affinity` is set.
  ## @param scheduler.nodeAffinityPreset.type Node affinity preset type. Ignored if `scheduler.affinity` is set. Allowed values: `soft` or `hard`
  ## @param scheduler.nodeAffinityPreset.values Node label values to match. Ignored if `scheduler.affinity` is set.
  ##
  nodeAffinityPreset:
    ## e.g:
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    type: ""
    ## e.g:
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param scheduler.nodeSelector Node labels for Airflow scheduler pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  ##
  nodeSelector: {}
  ## @param scheduler.podAffinityPreset Pod affinity preset. Ignored if `scheduler.affinity` is set. Allowed values: `soft` or `hard`.
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param scheduler.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `scheduler.affinity` is set. Allowed values: `soft` or `hard`.
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## @param scheduler.tolerations Tolerations for Airflow scheduler pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param scheduler.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param scheduler.priorityClassName Priority Class Name
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
  ##
  priorityClassName: ""
  ## @param scheduler.schedulerName Use an alternate scheduler, e.g. "stork".
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param scheduler.terminationGracePeriodSeconds Seconds Airflow scheduler pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param scheduler.updateStrategy.type Airflow scheduler deployment strategy type
  ## @param scheduler.updateStrategy.rollingUpdate Airflow scheduler deployment rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param scheduler.sidecars Add additional sidecar containers to the Airflow scheduler pods
  ## Example:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param scheduler.initContainers Add additional init containers to the Airflow scheduler pods
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []
  ## @param scheduler.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Airflow scheduler pods
  ##
  extraVolumeMounts: []
  ## @param scheduler.extraVolumes Optionally specify extra list of additional volumes for the Airflow scheduler pods
  ##
  extraVolumes: []
  ## Airflow scheduler Pod Disruption Budget
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/disruptions/
  ## @param scheduler.pdb.create Deploy a pdb object for the Airflow scheduler pods
  ## @param scheduler.pdb.minAvailable Maximum number/percentage of unavailable Airflow scheduler replicas
  ## @param scheduler.pdb.maxUnavailable Maximum number/percentage of unavailable Airflow scheduler replicas
  ##
  pdb:
    create: true
    minAvailable: ""
    maxUnavailable: ""
  ## Autoscaling configuration
  ## ref: https://kubernetes.io/docs/concepts/workloads/autoscaling/
  ##
  autoscaling:
    ## @param scheduler.autoscaling.vpa.enabled Enable VPA for Airflow scheduler
    ## @param scheduler.autoscaling.vpa.annotations Annotations for VPA resource
    ## @param scheduler.autoscaling.vpa.controlledResources List of resources that the VPA can control. Defaults to cpu and memory
    ## @param scheduler.autoscaling.vpa.maxAllowed VPA max allowed resources for the pod
    ## @param scheduler.autoscaling.vpa.minAllowed VPA min allowed resources for the pod
    ##
    vpa:
      enabled: false
      annotations: {}
      controlledResources: []
      maxAllowed: {}
      minAllowed: {}
      ## @param scheduler.autoscaling.vpa.updatePolicy.updateMode Autoscaling update policy
      ## Specifies whether recommended updates are applied when a Pod is started and whether recommended updates are applied during the life of a Pod
      ## Possible values are "Off", "Initial", "Recreate", and "Auto".
      ##
      updatePolicy:
        updateMode: Auto
    ## @param scheduler.autoscaling.hpa.enabled Enable HPA for Airflow scheduler
    ## @param scheduler.autoscaling.hpa.minReplicas Minimum number of replicas
    ## @param scheduler.autoscaling.hpa.maxReplicas Maximum number of replicas
    ## @param scheduler.autoscaling.hpa.targetCPU Target CPU utilization percentage
    ## @param scheduler.autoscaling.hpa.targetMemory Target Memory utilization percentage
    ##
    hpa:
      enabled: false
      minReplicas: ""
      maxReplicas: ""
      targetCPU: ""
      targetMemory: ""
  ## Scheduler Network Policies
  ## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  ##
  networkPolicy:
    ## @param scheduler.networkPolicy.enabled Specifies whether a NetworkPolicy should be created
    ##
    enabled: true
    ## @param scheduler.networkPolicy.allowExternal Don't require client label for connections
    ## The Policy model to apply. When set to false, only pods with the correct
    ## client label will have network access to the ports Scheduler is listening
    ## on. When true, Scheduler will accept connections from any source
    ## (with the correct destination port).
    ##
    allowExternal: true
    ## @param scheduler.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
    ##
    allowExternalEgress: true
    ## @param scheduler.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraIngress:
    ##   - ports:
    ##       - port: 1234
    ##     from:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    extraIngress: []
    ## @param scheduler.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraEgress:
    ##   - ports:
    ##       - port: 1234
    ##     to:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    ##
    extraEgress: []
    ## @param scheduler.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
    ## @param scheduler.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
    ##
    ingressNSMatchLabels: {}
    ingressNSPodMatchLabels: {}

## @section Airflow Dag Processor parameters
## ref: https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/dagfile-processing.html
##
dagProcessor:
  ## @param dagProcessor.enabled Run Airflow Dag Processor Manager as a standalone component
  ##
  enabled: false
  ## @param dagProcessor.replicaCount Number of Airflow Dag Processor replicas
  ##
  replicaCount: 1
  ## @param dagProcessor.command Override default Airflow Dag Processor cmd
  ##
  command: []
  ## @param dagProcessor.args Override default Airflow Dag Processor args
  ##
  args: []
  ## @param dagProcessor.extraEnvVars Add extra environment variables to Airflow Dag Processor containers
  ##
  extraEnvVars: []
  ## @param dagProcessor.extraEnvVarsCM ConfigMap with extra environment variables
  ##
  extraEnvVarsCM: ""
  ## @param dagProcessor.extraEnvVarsSecret Secret with extra environment variables
  ##
  extraEnvVarsSecret: ""
  ## Configure extra options for Airflow Dag Processor containers' liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param dagProcessor.livenessProbe.enabled Enable livenessProbe on Airflow Dag Processor containers
  ## @param dagProcessor.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param dagProcessor.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param dagProcessor.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param dagProcessor.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param dagProcessor.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 15
    failureThreshold: 6
    successThreshold: 1
  ## @param dagProcessor.readinessProbe.enabled Enable readinessProbe on Airflow Dag Processor containers
  ## @param dagProcessor.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param dagProcessor.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param dagProcessor.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param dagProcessor.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param dagProcessor.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 15
    failureThreshold: 6
    successThreshold: 1
  ## @param dagProcessor.startupProbe.enabled Enable startupProbe on Airflow Dag Processor containers
  ## @param dagProcessor.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param dagProcessor.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param dagProcessor.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param dagProcessor.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param dagProcessor.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 60
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param dagProcessor.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param dagProcessor.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param dagProcessor.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## Airflow Dag Processor resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param dagProcessor.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if dagProcessor.resources is set (dagProcessor.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "small"
  ## @param dagProcessor.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## Configure Airflow Dag Processor pods Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param dagProcessor.podSecurityContext.enabled Enabled Airflow Dag Processor pods' Security Context
  ## @param dagProcessor.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
  ## @param dagProcessor.podSecurityContext.sysctls Set kernel settings using the sysctl interface
  ## @param dagProcessor.podSecurityContext.supplementalGroups Set filesystem extra groups
  ## @param dagProcessor.podSecurityContext.fsGroup Set Airflow Dag Processor pod's Security Context fsGroup
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## Configure Airflow Dag Processor containers (only main one) Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param dagProcessor.containerSecurityContext.enabled Enabled Airflow Dag Processor containers' Security Context
  ## @param dagProcessor.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
  ## @param dagProcessor.containerSecurityContext.runAsUser Set Airflow Dag Processor containers' Security Context runAsUser
  ## @param dagProcessor.containerSecurityContext.runAsGroup Set Airflow Dag Processor containers' Security Context runAsGroup
  ## @param dagProcessor.containerSecurityContext.runAsNonRoot Set Airflow Dag Processor containers' Security Context runAsNonRoot
  ## @param dagProcessor.containerSecurityContext.privileged Set Airflow Dag Processor container's Security Context privileged
  ## @param dagProcessor.containerSecurityContext.allowPrivilegeEscalation Set Airflow Dag Processor container's Security Context allowPrivilegeEscalation
  ## @param dagProcessor.containerSecurityContext.readOnlyRootFilesystem Set Airflow Dag Processor container's Security Context readOnlyRootFilesystem
  ## @param dagProcessor.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ## @param dagProcessor.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    privileged: false
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    capabilities:
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## @param dagProcessor.lifecycleHooks for the Airflow Dag Processor containers to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param dagProcessor.automountServiceAccountToken Mount Service Account token in pod
  ##
  automountServiceAccountToken: false
  ## @param dagProcessor.hostAliases Deployment pod host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param dagProcessor.podLabels Add extra labels to the Airflow Dag Processor pods
  ##
  podLabels: {}
  ## @param dagProcessor.podAnnotations Add extra annotations to the Airflow Dag Processor pods
  ##
  podAnnotations: {}
  ## @param dagProcessor.affinity Affinity for Airflow Dag Processor pods assignment (evaluated as a template)
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: `dagProcessor.podAffinityPreset`, `dagProcessor.podAntiAffinityPreset`, and `dagProcessor.nodeAffinityPreset` will be ignored when it's set
  ##
  affinity: {}
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ## @param dagProcessor.nodeAffinityPreset.key Node label key to match. Ignored if `dagProcessor.affinity` is set.
  ## @param dagProcessor.nodeAffinityPreset.type Node affinity preset type. Ignored if `dagProcessor.affinity` is set. Allowed values: `soft` or `hard`
  ## @param dagProcessor.nodeAffinityPreset.values Node label values to match. Ignored if `dagProcessor.affinity` is set.
  ##
  nodeAffinityPreset:
    ## e.g:
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    type: ""
    ## e.g:
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param dagProcessor.nodeSelector Node labels for Airflow Dag Processor pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  ##
  nodeSelector: {}
  ## @param dagProcessor.podAffinityPreset Pod affinity preset. Ignored if `dagProcessor.affinity` is set. Allowed values: `soft` or `hard`.
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param dagProcessor.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `dagProcessor.affinity` is set. Allowed values: `soft` or `hard`.
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## @param dagProcessor.tolerations Tolerations for Airflow Dag Processor pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param dagProcessor.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param dagProcessor.priorityClassName Priority Class Name
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
  ##
  priorityClassName: ""
  ## @param dagProcessor.schedulerName Use an alternate K8s scheduler, e.g. "stork".
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param dagProcessor.terminationGracePeriodSeconds Seconds Airflow Dag Processor pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param dagProcessor.updateStrategy.type Airflow Dag Processor deployment strategy type
  ## @param dagProcessor.updateStrategy.rollingUpdate Airflow Dag Processor deployment rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param dagProcessor.sidecars Add additional sidecar containers to the Airflow Dag Processor pods
  ## Example:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param dagProcessor.initContainers Add additional init containers to the Airflow Dag Processor pods
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []
  ## @param dagProcessor.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Airflow Dag Processor containers
  ##
  extraVolumeMounts: []
  ## @param dagProcessor.extraVolumes Optionally specify extra list of additional volumes for the Airflow Dag Processor pods
  ##
  extraVolumes: []
  ## Airflow Dag Processor Pod Disruption Budget
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/disruptions/
  ## @param dagProcessor.pdb.create Deploy a pdb object for the Airflow Dag Processor pods
  ## @param dagProcessor.pdb.minAvailable Maximum number/percentage of unavailable Airflow Dag Processor replicas
  ## @param dagProcessor.pdb.maxUnavailable Maximum number/percentage of unavailable Airflow Dag Processor replicas
  ##
  pdb:
    create: true
    minAvailable: ""
    maxUnavailable: ""
  ## Autoscaling configuration
  ## ref: https://kubernetes.io/docs/concepts/workloads/autoscaling/
  ##
  autoscaling:
    ## @param dagProcessor.autoscaling.vpa.enabled Enable VPA for Airflow Dag Processor
    ## @param dagProcessor.autoscaling.vpa.annotations Annotations for VPA resource
    ## @param dagProcessor.autoscaling.vpa.controlledResources List of resources that the VPA can control. Defaults to cpu and memory
    ## @param dagProcessor.autoscaling.vpa.maxAllowed VPA max allowed resources for the pod
    ## @param dagProcessor.autoscaling.vpa.minAllowed VPA min allowed resources for the pod
    ##
    vpa:
      enabled: false
      annotations: {}
      controlledResources: []
      maxAllowed: {}
      minAllowed: {}
      ## @param dagProcessor.autoscaling.vpa.updatePolicy.updateMode Autoscaling update policy
      ## Specifies whether recommended updates are applied when a Pod is started and whether recommended updates are applied during the life of a Pod
      ## Possible values are "Off", "Initial", "Recreate", and "Auto".
      ##
      updatePolicy:
        updateMode: Auto
    ## @param dagProcessor.autoscaling.hpa.enabled Enable HPA for Airflow Dag Processor
    ## @param dagProcessor.autoscaling.hpa.minReplicas Minimum number of replicas
    ## @param dagProcessor.autoscaling.hpa.maxReplicas Maximum number of replicas
    ## @param dagProcessor.autoscaling.hpa.targetCPU Target CPU utilization percentage
    ## @param dagProcessor.autoscaling.hpa.targetMemory Target Memory utilization percentage
    ##
    hpa:
      enabled: false
      minReplicas: ""
      maxReplicas: ""
      targetCPU: ""
      targetMemory: ""
  ## Airflow Dag Processor Network Policies
  ## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  ##
  networkPolicy:
    ## @param dagProcessor.networkPolicy.enabled Specifies whether a NetworkPolicy should be created
    ##
    enabled: true
    ## @param dagProcessor.networkPolicy.allowExternal Don't require client label for connections
    ## The Policy model to apply. When set to false, only pods with the correct
    ## client label will have network access to the ports Airflow Dag Processor is listening
    ## on. When true, Airflow Dag Processor will accept connections from any source
    ## (with the correct destination port).
    ##
    allowExternal: true
    ## @param dagProcessor.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
    ##
    allowExternalEgress: true
    ## @param dagProcessor.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraIngress:
    ##   - ports:
    ##       - port: 1234
    ##     from:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    extraIngress: []
    ## @param dagProcessor.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraEgress:
    ##   - ports:
    ##       - port: 1234
    ##     to:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    ##
    extraEgress: []
    ## @param dagProcessor.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
    ## @param dagProcessor.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
    ##
    ingressNSMatchLabels: {}
    ingressNSPodMatchLabels: {}

## @section Airflow Triggerer parameters
## ref: https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/deferring.html#deferrable-operators-triggers
##
triggerer:
  ## @param triggerer.enabled Run Airflow Triggerer as a standalone component
  ##
  enabled: false
  ## @param triggerer.defaultCapacity How many triggers a single Triggerer can run at once
  ##
  defaultCapacity: 1000
  ## @param triggerer.replicaCount Number of Airflow Triggerer replicas
  ##
  replicaCount: 1
  ## @param triggerer.command Override default Airflow Triggerer cmd
  ##
  command: []
  ## @param triggerer.args Override default Airflow Triggerer args
  ##
  args: []
  ## @param triggerer.extraEnvVars Add extra environment variables to Airflow Triggerer containers
  ##
  extraEnvVars: []
  ## @param triggerer.extraEnvVarsCM ConfigMap with extra environment variables
  ##
  extraEnvVarsCM: ""
  ## @param triggerer.extraEnvVarsSecret Secret with extra environment variables
  ##
  extraEnvVarsSecret: ""
  ## @param triggerer.containerPorts.logs Airflow Triggerer logs container port
  ##
  containerPorts:
    logs: 8794
  ## Configure extra options for Airflow Triggerer containers' liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param triggerer.livenessProbe.enabled Enable livenessProbe on Airflow Triggerer containers
  ## @param triggerer.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param triggerer.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param triggerer.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param triggerer.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param triggerer.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 15
    failureThreshold: 6
    successThreshold: 1
  ## @param triggerer.readinessProbe.enabled Enable readinessProbe on Airflow Triggerer containers
  ## @param triggerer.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param triggerer.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param triggerer.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param triggerer.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param triggerer.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 15
    failureThreshold: 6
    successThreshold: 1
  ## @param triggerer.startupProbe.enabled Enable startupProbe on Airflow Triggerer containers
  ## @param triggerer.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param triggerer.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param triggerer.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param triggerer.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param triggerer.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 60
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param triggerer.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param triggerer.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param triggerer.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## Airflow Triggerer resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param triggerer.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if triggerer.resources is set (triggerer.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "small"
  ## @param triggerer.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## Configure Airflow Triggerer pods Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param triggerer.podSecurityContext.enabled Enabled Airflow Triggerer pods' Security Context
  ## @param triggerer.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
  ## @param triggerer.podSecurityContext.sysctls Set kernel settings using the sysctl interface
  ## @param triggerer.podSecurityContext.supplementalGroups Set filesystem extra groups
  ## @param triggerer.podSecurityContext.fsGroup Set Airflow Triggerer pod's Security Context fsGroup
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## Configure Airflow Triggerer containers (only main one) Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param triggerer.containerSecurityContext.enabled Enabled Airflow Triggerer containers' Security Context
  ## @param triggerer.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
  ## @param triggerer.containerSecurityContext.runAsUser Set Airflow Triggerer containers' Security Context runAsUser
  ## @param triggerer.containerSecurityContext.runAsGroup Set Airflow Triggerer containers' Security Context runAsGroup
  ## @param triggerer.containerSecurityContext.runAsNonRoot Set Airflow Triggerer containers' Security Context runAsNonRoot
  ## @param triggerer.containerSecurityContext.privileged Set Airflow Triggerer container's Security Context privileged
  ## @param triggerer.containerSecurityContext.allowPrivilegeEscalation Set Airflow Triggerer container's Security Context allowPrivilegeEscalation
  ## @param triggerer.containerSecurityContext.readOnlyRootFilesystem Set Airflow Triggerer container's Security Context readOnlyRootFilesystem
  ## @param triggerer.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ## @param triggerer.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    privileged: false
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    capabilities:
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## @param triggerer.lifecycleHooks for the Airflow Triggerer containers to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param triggerer.automountServiceAccountToken Mount Service Account token in pod
  ##
  automountServiceAccountToken: false
  ## @param triggerer.hostAliases Deployment pod host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param triggerer.podLabels Add extra labels to the Airflow Triggerer pods
  ##
  podLabels: {}
  ## @param triggerer.podAnnotations Add extra annotations to the Airflow Triggerer pods
  ##
  podAnnotations: {}
  ## @param triggerer.affinity Affinity for Airflow Triggerer pods assignment (evaluated as a template)
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: `triggerer.podAffinityPreset`, `triggerer.podAntiAffinityPreset`, and `triggerer.nodeAffinityPreset` will be ignored when it's set
  ##
  affinity: {}
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ## @param triggerer.nodeAffinityPreset.key Node label key to match. Ignored if `triggerer.affinity` is set.
  ## @param triggerer.nodeAffinityPreset.type Node affinity preset type. Ignored if `triggerer.affinity` is set. Allowed values: `soft` or `hard`
  ## @param triggerer.nodeAffinityPreset.values Node label values to match. Ignored if `triggerer.affinity` is set.
  ##
  nodeAffinityPreset:
    ## e.g:
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    type: ""
    ## e.g:
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param triggerer.nodeSelector Node labels for Airflow Triggerer pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  ##
  nodeSelector: {}
  ## @param triggerer.podAffinityPreset Pod affinity preset. Ignored if `triggerer.affinity` is set. Allowed values: `soft` or `hard`.
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param triggerer.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `triggerer.affinity` is set. Allowed values: `soft` or `hard`.
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## @param triggerer.tolerations Tolerations for Airflow Triggerer pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param triggerer.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param triggerer.priorityClassName Priority Class Name
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
  ##
  priorityClassName: ""
  ## @param triggerer.schedulerName Use an alternate K8s scheduler, e.g. "stork".
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param triggerer.terminationGracePeriodSeconds Seconds Airflow Triggerer pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param triggerer.podManagementPolicy Pod management policy for the Airflow Triggerer statefulset
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-management-policies
  ##
  podManagementPolicy: OrderedReady
  ## @param triggerer.updateStrategy.type Airflow Triggerer statefulset strategy type
  ## @param triggerer.updateStrategy.rollingUpdate Airflow Triggerer statefulset rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param triggerer.sidecars Add additional sidecar containers to the Airflow Triggerer pods
  ## Example:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param triggerer.initContainers Add additional init containers to the Airflow Triggerer pods
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []
  ## @param triggerer.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Airflow Triggerer containers
  ##
  extraVolumeMounts: []
  ## @param triggerer.extraVolumes Optionally specify extra list of additional volumes for the Airflow Triggerer pods
  ##
  extraVolumes: []
  ## Airflow Triggerer Pod Disruption Budget
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/disruptions/
  ## @param triggerer.pdb.create Deploy a pdb object for the Airflow Triggerer pods
  ## @param triggerer.pdb.minAvailable Maximum number/percentage of unavailable Airflow Triggerer replicas
  ## @param triggerer.pdb.maxUnavailable Maximum number/percentage of unavailable Airflow Triggerer replicas
  ##
  pdb:
    create: true
    minAvailable: ""
    maxUnavailable: ""
  ## Autoscaling configuration
  ## ref: https://kubernetes.io/docs/concepts/workloads/autoscaling/
  ##
  autoscaling:
    ## @param triggerer.autoscaling.vpa.enabled Enable VPA for Airflow Triggerer
    ## @param triggerer.autoscaling.vpa.annotations Annotations for VPA resource
    ## @param triggerer.autoscaling.vpa.controlledResources List of resources that the VPA can control. Defaults to cpu and memory
    ## @param triggerer.autoscaling.vpa.maxAllowed VPA max allowed resources for the pod
    ## @param triggerer.autoscaling.vpa.minAllowed VPA min allowed resources for the pod
    ##
    vpa:
      enabled: false
      annotations: {}
      controlledResources: []
      maxAllowed: {}
      minAllowed: {}
      ## @param triggerer.autoscaling.vpa.updatePolicy.updateMode Autoscaling update policy
      ## Specifies whether recommended updates are applied when a Pod is started and whether recommended updates are applied during the life of a Pod
      ## Possible values are "Off", "Initial", "Recreate", and "Auto".
      ##
      updatePolicy:
        updateMode: Auto
    ## @param triggerer.autoscaling.hpa.enabled Enable HPA
    ## @param triggerer.autoscaling.hpa.minReplicas Minimum number of replicas
    ## @param triggerer.autoscaling.hpa.maxReplicas Maximum number of replicas
    ## @param triggerer.autoscaling.hpa.targetCPU Target CPU utilization percentage
    ## @param triggerer.autoscaling.hpa.targetMemory Target Memory utilization percentage
    ##
    hpa:
      enabled: false
      minReplicas: ""
      maxReplicas: ""
      targetCPU: ""
      targetMemory: ""
  ## Airflow Triggerer Persistence Parameters
  ## ref: https://kubernetes.io/docs/concepts/storage/persistent-volumes
  ##
  persistence:
    ## @param triggerer.persistence.enabled Enable logs persistence using Persistent Volume Claims
    ##
    enabled: true
    ## @param triggerer.persistence.storageClass Storage class of backing PVC
    ## 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: ""
    ## @param triggerer.persistence.annotations Additional Persistent Volume Claim annotations
    ##
    annotations: {}
    ## @param triggerer.persistence.accessModes Persistent Volume Access Modes
    ##
    accessModes:
      - ReadWriteOnce
    ## @param triggerer.persistence.size Size of logs volume
    ##
    size: 8Gi
    ## @param triggerer.persistence.selector Selector to match an existing Persistent Volume for WordPress data PVC
    ## If set, the PVC can't have a PV dynamically provisioned for it
    ## E.g.
    ## selector:
    ##   matchLabels:
    ##     app: my-app
    ##
    selector: {}
    ## @param triggerer.persistence.dataSource Custom PVC data source
    ##
    dataSource: {}
    ## @param triggerer.persistence.existingClaim The name of an existing PVC to use for persistence (only if triggerer.replicaCount=1)
    ##
    existingClaim: ""
  ## persistentVolumeClaimRetentionPolicy
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#persistentvolumeclaim-retention
  ## @param triggerer.persistentVolumeClaimRetentionPolicy.enabled Controls if and how PVCs are deleted during the lifecycle of a StatefulSet
  ## @param triggerer.persistentVolumeClaimRetentionPolicy.whenScaled Volume retention behavior when the replica count of the StatefulSet is reduced
  ## @param triggerer.persistentVolumeClaimRetentionPolicy.whenDeleted Volume retention behavior that applies when the StatefulSet is deleted
  ##
  persistentVolumeClaimRetentionPolicy:
    enabled: false
    whenScaled: Retain
    whenDeleted: Retain
  ## Airflow Triggerer Service
  ##
  service:
    ## @param triggerer.service.type Airflow Triggerer service type
    ##
    type: ClusterIP
    ## @param triggerer.service.ports.logs Airflow Triggerer service logs port
    ##
    ports:
      logs: 8794
    ## Node ports to expose
    ## @param triggerer.service.nodePorts.logs Node port for Airflow Triggerer service logs
    ## NOTE: choose port between <30000-32767>
    ##
    nodePorts:
      logs: ""
    ## @param triggerer.service.clusterIP Airflow Triggerer service Cluster IP
    ## e.g.:
    ## clusterIP: None
    ##
    clusterIP: ""
    ## @param triggerer.service.loadBalancerIP Airflow Triggerer service Load Balancer IP
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-loadbalancer
    ##
    loadBalancerIP: ""
    ## @param triggerer.service.loadBalancerSourceRanges Airflow Triggerer service Load Balancer sources
    ## ref: https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service
    ## e.g:
    ## loadBalancerSourceRanges:
    ##   - 10.10.10.0/24
    ##
    loadBalancerSourceRanges: []
    ## @param triggerer.service.externalTrafficPolicy Airflow Triggerer service external traffic policy
    ## ref http://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip
    ##
    externalTrafficPolicy: Cluster
    ## @param triggerer.service.annotations Additional custom annotations for Airflow Triggerer service
    ##
    annotations: {}
    ## @param triggerer.service.extraPorts Extra ports to expose in Airflow Triggerer service (normally used with the `triggerer.sidecars` value)
    ##
    extraPorts: []
    ## @param triggerer.service.sessionAffinity Control where client requests go, to the same pod or round-robin
    ## Values: ClientIP or None
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/
    ##
    sessionAffinity: None
    ## @param triggerer.service.sessionAffinityConfig Additional settings for the sessionAffinity
    ## sessionAffinityConfig:
    ##   clientIP:
    ##     timeoutSeconds: 300
    ##
    sessionAffinityConfig: {}
  ## Airflow Triggerer Network Policies
  ## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  ##
  networkPolicy:
    ## @param triggerer.networkPolicy.enabled Specifies whether a NetworkPolicy should be created
    ##
    enabled: true
    ## @param triggerer.networkPolicy.allowExternal Don't require client label for connections
    ## The Policy model to apply. When set to false, only pods with the correct
    ## client label will have network access to the ports Airflow Triggerer is listening
    ## on. When true, Airflow Triggerer will accept connections from any source
    ## (with the correct destination port).
    ##
    allowExternal: true
    ## @param triggerer.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
    ##
    allowExternalEgress: true
    ## @param triggerer.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraIngress:
    ##   - ports:
    ##       - port: 1234
    ##     from:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    extraIngress: []
    ## @param triggerer.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraEgress:
    ##   - ports:
    ##       - port: 1234
    ##     to:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    ##
    extraEgress: []
    ## @param triggerer.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
    ## @param triggerer.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
    ##
    ingressNSMatchLabels: {}
    ingressNSPodMatchLabels: {}

## @section Airflow worker parameters
##
worker:
  ## @param worker.command Override default container command (useful when using custom images)
  ##
  command: []
  ## @param worker.args Override default container args (useful when using custom images)
  ##
  args: []
  ## @param worker.extraEnvVars Array with extra environment variables to add Airflow worker pods
  ##
  extraEnvVars: []
  ## @param worker.extraEnvVarsCM ConfigMap containing extra environment variables for Airflow worker pods
  ##
  extraEnvVarsCM: ""
  ## @param worker.extraEnvVarsSecret Secret containing extra environment variables (in case of sensitive data) for Airflow worker pods
  ##
  extraEnvVarsSecret: ""
  ## @param worker.extraEnvVarsSecrets List of secrets with extra environment variables for Airflow worker pods
  ##
  extraEnvVarsSecrets: []
  ## @param worker.containerPorts.http Airflow worker HTTP container port
  ##
  containerPorts:
    http: 8793
  ## @param worker.replicaCount Number of Airflow worker replicas
  ##
  replicaCount: 1
  ## Configure extra options for Airflow worker containers' liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param worker.livenessProbe.enabled Enable livenessProbe on Airflow worker containers
  ## @param worker.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param worker.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param worker.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param worker.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param worker.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param worker.readinessProbe.enabled Enable readinessProbe on Airflow worker containers
  ## @param worker.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param worker.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param worker.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param worker.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param worker.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param worker.startupProbe.enabled Enable startupProbe on Airflow worker containers
  ## @param worker.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param worker.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param worker.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param worker.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param worker.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 60
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param worker.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param worker.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param worker.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## Airflow worker resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param worker.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if worker.resources is set (worker.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "large"
  ## @param worker.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## Configure Airflow worker pods Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param worker.podSecurityContext.enabled Enabled Airflow worker pods' Security Context
  ## @param worker.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
  ## @param worker.podSecurityContext.sysctls Set kernel settings using the sysctl interface
  ## @param worker.podSecurityContext.supplementalGroups Set filesystem extra groups
  ## @param worker.podSecurityContext.fsGroup Set Airflow worker pod's Security Context fsGroup
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## Configure Airflow worker containers (only main one) Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param worker.containerSecurityContext.enabled Enabled Airflow worker containers' Security Context
  ## @param worker.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
  ## @param worker.containerSecurityContext.runAsUser Set Airflow worker containers' Security Context runAsUser
  ## @param worker.containerSecurityContext.runAsGroup Set Airflow worker containers' Security Context runAsGroup
  ## @param worker.containerSecurityContext.runAsNonRoot Set Airflow worker containers' Security Context runAsNonRoot
  ## @param worker.containerSecurityContext.privileged Set worker container's Security Context privileged
  ## @param worker.containerSecurityContext.allowPrivilegeEscalation Set worker container's Security Context allowPrivilegeEscalation
  ## @param worker.containerSecurityContext.readOnlyRootFilesystem Set worker container's Security Context readOnlyRootFilesystem
  ## @param worker.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ## @param worker.containerSecurityContext.seccompProfile.type Set container's Security Context seccomp profile
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    privileged: false
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    capabilities:
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## @param worker.lifecycleHooks for the Airflow worker container(s) to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param worker.automountServiceAccountToken Mount Service Account token in pod
  ##
  automountServiceAccountToken: false
  ## @param worker.hostAliases Deployment pod host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param worker.podLabels Add extra labels to the Airflow worker pods
  ##
  podLabels: {}
  ## @param worker.podAnnotations Add extra annotations to the Airflow worker pods
  ##
  podAnnotations: {}
  ## @param worker.affinity Affinity for Airflow worker pods assignment (evaluated as a template)
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: `worker.podAffinityPreset`, `worker.podAntiAffinityPreset`, and `worker.nodeAffinityPreset` will be ignored when it's set
  ##
  affinity: {}
  ## Node affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ## @param worker.nodeAffinityPreset.key Node label key to match. Ignored if `worker.affinity` is set.
  ## @param worker.nodeAffinityPreset.type Node affinity preset type. Ignored if `worker.affinity` is set. Allowed values: `soft` or `hard`
  ## @param worker.nodeAffinityPreset.values Node label values to match. Ignored if `worker.affinity` is set.
  ##
  nodeAffinityPreset:
    ## e.g:
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    type: ""
    ## e.g:
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param worker.nodeSelector Node labels for Airflow worker pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  ##
  nodeSelector: {}
  ## @param worker.podAffinityPreset Pod affinity preset. Ignored if `worker.affinity` is set. Allowed values: `soft` or `hard`.
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param worker.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `worker.affinity` is set. Allowed values: `soft` or `hard`.
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## @param worker.tolerations Tolerations for Airflow worker pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param worker.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param worker.priorityClassName Priority Class Name
  ## ref: https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
  ##
  priorityClassName: ""
  ## @param worker.schedulerName Use an alternate scheduler, e.g. "stork".
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param worker.terminationGracePeriodSeconds Seconds Airflow worker pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param worker.podManagementPolicy Pod management policy for the worker statefulset
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#pod-management-policies
  ##
  podManagementPolicy: OrderedReady
  ## @param worker.updateStrategy.type Airflow worker statefulset strategy type
  ## @param worker.updateStrategy.rollingUpdate Airflow worker statefulset rolling update configuration parameters
  ## ref: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/#update-strategies
  ##
  updateStrategy:
    type: RollingUpdate
    rollingUpdate: {}
  ## @param worker.sidecars Add additional sidecar containers to the Airflow worker pods
  ## Example:
  ## sidecars:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  sidecars: []
  ## @param worker.initContainers Add additional init containers to the Airflow worker pods
  ## Example:
  ## initContainers:
  ##   - name: your-image-name
  ##     image: your-image
  ##     imagePullPolicy: Always
  ##     ports:
  ##       - name: portname
  ##         containerPort: 1234
  ##
  initContainers: []
  ## @param worker.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Airflow worker pods
  ##
  extraVolumeMounts: []
  ## @param worker.extraVolumes Optionally specify extra list of additional volumes for the Airflow worker pods
  ##
  extraVolumes: []
  ## @param worker.extraVolumeClaimTemplates Optionally specify extra list of volumesClaimTemplates for the Airflow worker statefulset
  ##
  extraVolumeClaimTemplates: []
  ## @param worker.podTemplate Template to replace the default one to be use when `executor=KubernetesExecutor` to create Airflow worker pods
  ##
  podTemplate: {}
  ## Airflow worker Pod Disruption Budget
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/disruptions/
  ## @param worker.pdb.create Deploy a pdb object for the Airflow worker pods
  ## @param worker.pdb.minAvailable Maximum number/percentage of unavailable Airflow worker replicas
  ## @param worker.pdb.maxUnavailable Maximum number/percentage of unavailable Airflow worker replicas
  ##
  pdb:
    create: true
    minAvailable: ""
    maxUnavailable: ""
  ## Autoscaling configuration
  ## ref: https://kubernetes.io/docs/concepts/workloads/autoscaling/
  ##
  autoscaling:
    ## @param worker.autoscaling.enabled DEPRECATED: use worker.autoscaling.hpa.enabled instead
    ## @param worker.autoscaling.minReplicas DEPRECATED: use worker.autoscaling.hpa.minReplicas instead
    ## @param worker.autoscaling.maxReplicas DEPRECATED: use worker.autoscaling.hpa.minReplicas instead
    ## @param worker.autoscaling.targetMemory DEPRECATED: use worker.autoscaling.hpa.targetMemory instead
    ## @param worker.autoscaling.targetCPU DEPRECATED: use worker.autoscaling.hpa.targetCPU instead
    enabled: false
    minReplicas: ""
    maxReplicas: ""
    targetCPU: ""
    targetMemory: ""
    ## @param worker.autoscaling.vpa.enabled Enable VPA for Airflow Worker
    ## @param worker.autoscaling.vpa.annotations Annotations for VPA resource
    ## @param worker.autoscaling.vpa.controlledResources List of resources that the VPA can control. Defaults to cpu and memory
    ## @param worker.autoscaling.vpa.maxAllowed VPA max allowed resources for the pod
    ## @param worker.autoscaling.vpa.minAllowed VPA min allowed resources for the pod
    ##
    vpa:
      enabled: false
      annotations: {}
      controlledResources: []
      maxAllowed: {}
      minAllowed: {}
      ## @param worker.autoscaling.vpa.updatePolicy.updateMode Autoscaling update policy
      ## Specifies whether recommended updates are applied when a Pod is started and whether recommended updates are applied during the life of a Pod
      ## Possible values are "Off", "Initial", "Recreate", and "Auto".
      ##
      updatePolicy:
        updateMode: Auto
    ## @param worker.autoscaling.hpa.enabled Enable HPA for Airflow Worker
    ## @param worker.autoscaling.hpa.minReplicas Minimum number of replicas
    ## @param worker.autoscaling.hpa.maxReplicas Maximum number of replicas
    ## @param worker.autoscaling.hpa.targetCPU Target CPU utilization percentage
    ## @param worker.autoscaling.hpa.targetMemory Target Memory utilization percentage
    ##
    hpa:
      enabled: false
      minReplicas: 1
      maxReplicas: 3
      targetCPU: 80
      targetMemory: 80
  ## Worker Network Policies
  ## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  ##
  networkPolicy:
    ## @param worker.networkPolicy.enabled Specifies whether a NetworkPolicy should be created
    ##
    enabled: true
    ## @param worker.networkPolicy.allowExternal Don't require client label for connections
    ## The Policy model to apply. When set to false, only pods with the correct
    ## client label will have network access to the ports Worker is listening
    ## on. When true, Worker will accept connections from any source
    ## (with the correct destination port).
    ##
    allowExternal: true
    ## @param worker.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
    ##
    allowExternalEgress: true
    ## @param worker.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraIngress:
    ##   - ports:
    ##       - port: 1234
    ##     from:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    extraIngress: []
    ## @param worker.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraEgress:
    ##   - ports:
    ##       - port: 1234
    ##     to:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    ##
    extraEgress: []
    ## @param worker.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
    ## @param worker.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
    ##
    ingressNSMatchLabels: {}
    ingressNSPodMatchLabels: {}

## @section Airflow "setup-db" K8s Job parameters
##
setupDBJob:
  ## @param setupDBJob.enabled Enable setting up the Airflow database using a K8s job (otherwise it's done by the Webserver on startup)
  ##
  enabled: true
  ## @param setupDBJob.backoffLimit set backoff limit of the job
  ##
  backoffLimit: 10
  ## @param setupDBJob.command Override default container command on "setup-db" job's containers
  ##
  command: []
  ## @param setupDBJob.args Override default container args on "setup-db" job's containers
  ##
  args: []
  ## Configure "setup-db" job's container Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param setupDBJob.containerSecurityContext.enabled Enabled "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in "setup-db" job's containers
  ## @param setupDBJob.containerSecurityContext.runAsUser Set runAsUser in "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.runAsGroup Set runAsUser in "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.runAsNonRoot Set runAsNonRoot in "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.readOnlyRootFilesystem Set readOnlyRootFilesystem in "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.privileged Set privileged in "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.allowPrivilegeEscalation Set allowPrivilegeEscalation in "setup-db" job's containers' Security Context
  ## @param setupDBJob.containerSecurityContext.capabilities.add List of capabilities to be added in "setup-db" job's containers
  ## @param setupDBJob.containerSecurityContext.capabilities.drop List of capabilities to be dropped in "setup-db" job's containers
  ## @param setupDBJob.containerSecurityContext.seccompProfile.type Set seccomp profile in "setup-db" job's containers
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    readOnlyRootFilesystem: true
    privileged: false
    allowPrivilegeEscalation: false
    capabilities:
      add: []
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## Configure "setup-db" job's pod Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param setupDBJob.podSecurityContext.enabled Enabled "setup-db" job's pods' Security Context
  ## @param setupDBJob.podSecurityContext.fsGroupChangePolicy Set fsGroupChangePolicy in "setup-db" job's pods' Security Context
  ## @param setupDBJob.podSecurityContext.sysctls List of sysctls to allow in "setup-db" job's pods' Security Context
  ## @param setupDBJob.podSecurityContext.supplementalGroups List of supplemental groups to add to "setup-db" job's pods' Security Context
  ## @param setupDBJob.podSecurityContext.fsGroup Set fsGroup in "setup-db" job's pods' Security Context
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## @param setupDBJob.extraEnvVars Array containing extra env vars to configure the Airflow "setup-db" job's container
  ##
  extraEnvVars: []
  ## @param setupDBJob.extraEnvVarsCM ConfigMap containing extra env vars to configure the Airflow "setup-db" job's container
  ##
  extraEnvVarsCM: ""
  ## @param setupDBJob.extraEnvVarsSecret Secret containing extra env vars to configure the Airflow "setup-db" job's container (in case of sensitive data)
  ##
  extraEnvVarsSecret: ""
  ## Airflow "setup-db" job's container resource requests and limits
  ## ref: http://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param setupDBJob.resourcesPreset Set Airflow "setup-db" job's container resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if setupDBJob.resources is set (setupDBJob.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "micro"
  ## @param setupDBJob.resources Set Airflow "setup-db" job's container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## E.g:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## @param setupDBJob.automountServiceAccountToken Mount Service Account token in Airflow "setup-db" job's pods
  ##
  automountServiceAccountToken: false
  ## @param setupDBJob.hostAliases Add deployment host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param setupDBJob.annotations [object] Add annotations to the Airflow "setup-db" job
  ##
  annotations: {}
  ## @param setupDBJob.podLabels Additional pod labels for Airflow "setup-db" job
  ## Ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  ##
  podLabels: {}
  ## @param setupDBJob.podAnnotations Additional pod annotations for Airflow "setup-db" job
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
  ##
  podAnnotations: {}

## @section Airflow ldap parameters

## LDAP configuration
## @param ldap.enabled Enable LDAP authentication
## @param ldap.uri Server URI, eg. ldap://ldap_server:389
## @param ldap.basedn Base of the search, eg. ou=example,o=org.
## @param ldap.searchAttribute if doing an indirect bind to ldap, this is the field that matches the username when searching for the account to bind to
## @param ldap.binddn DN of the account used to search in the LDAP server.
## @param ldap.bindpw Bind Password
## @param ldap.existingSecret Name of an existing secret containing the LDAP bind password
## @param ldap.userRegistration Set to True to enable user self registration
## @param ldap.userRegistrationRole Set role name to be assign when a user registers himself. This role must already exist. Mandatory when using ldap.userRegistration
## @param ldap.rolesMapping mapping from LDAP DN to a list of roles
## @param ldap.rolesSyncAtLogin replace ALL the user's roles each login, or only on registration
##
ldap:
  enabled: false
  uri: "ldap://ldap_server:389"
  basedn: "dc=example,dc=org"
  searchAttribute: "cn"
  binddn: "cn=admin,dc=example,dc=org"
  bindpw: ""
  existingSecret: ""
  userRegistration: 'True'
  userRegistrationRole: "Public"
  rolesMapping: '{ "cn=All,ou=Groups,dc=example,dc=org": ["User"], "cn=Admins,ou=Groups,dc=example,dc=org": ["Admin"], }'
  rolesSyncAtLogin: 'True'
  ## SSL/TLS parameters for LDAP
  ## @param ldap.tls.enabled Enabled TLS/SSL for LDAP, you must include the CA file.
  ## @param ldap.tls.allowSelfSigned Allow to use self signed certificates
  ## @param ldap.tls.certificatesSecret Name of the existing secret containing the certificate CA file that will be used by ldap client
  ## @param ldap.tls.certificatesMountPath Where LDAP certifcates are mounted.
  ## @param ldap.tls.CAFilename LDAP CA cert filename
  ##
  tls:
    enabled: false
    allowSelfSigned: true
    certificatesSecret: ""
    certificatesMountPath: /opt/bitnami/airflow/conf/certs
    CAFilename: ""
## @section Traffic Exposure Parameters

## Airflow service parameters
##
service:
  ## @param service.type Airflow service type
  ##
  type: ClusterIP
  ## @param service.ports.http Airflow service HTTP port
  ##
  ports:
    http: 8080
  ## Node ports to expose
  ## @param service.nodePorts.http Node port for HTTP
  ## NOTE: choose port between <30000-32767>
  ##
  nodePorts:
    http: ""
  ## @param service.sessionAffinity Control where client requests go, to the same pod or round-robin
  ## Values: ClientIP or None
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/
  ##
  sessionAffinity: None
  ## @param service.sessionAffinityConfig Additional settings for the sessionAffinity
  ## sessionAffinityConfig:
  ##   clientIP:
  ##     timeoutSeconds: 300
  ##
  sessionAffinityConfig: {}
  ## @param service.clusterIP Airflow service Cluster IP
  ## e.g.:
  ## clusterIP: None
  ##
  clusterIP: ""
  ## @param service.loadBalancerIP Airflow service Load Balancer IP
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-loadbalancer
  ##
  loadBalancerIP: ""
  ## @param service.loadBalancerSourceRanges Airflow service Load Balancer sources
  ## ref: https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service
  ## e.g:
  ## loadBalancerSourceRanges:
  ##   - 10.10.10.0/24
  ##
  loadBalancerSourceRanges: []
  ## @param service.externalTrafficPolicy Airflow service external traffic policy
  ## ref https://kubernetes.io/docs/tasks/access-application-cluster/create-external-load-balancer/#preserving-the-client-source-ip
  ##
  externalTrafficPolicy: Cluster
  ## @param service.annotations Additional custom annotations for Airflow service
  ##
  annotations: {}
  ## @param service.extraPorts Extra port to expose on Airflow service
  ##
  extraPorts: []
## Airflow ingress parameters
## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/
##
ingress:
  ## @param ingress.enabled Enable ingress record generation for Airflow
  ##
  enabled: false
  ## @param ingress.ingressClassName IngressClass that will be be used to implement the Ingress (Kubernetes 1.18+)
  ## This is supported in Kubernetes 1.18+ and required if you have more than one IngressClass marked as the default for your cluster .
  ## ref: https://kubernetes.io/blog/2020/04/02/improvements-to-the-ingress-api-in-kubernetes-1.18/
  ##
  ingressClassName: ""
  ## @param ingress.pathType Ingress path type
  ##
  pathType: ImplementationSpecific
  ## @param ingress.apiVersion Force Ingress API version (automatically detected if not set)
  ##
  apiVersion: ""
  ## @param ingress.hostname Default host for the ingress record
  ##
  hostname: airflow.local
  ## @param ingress.path Default path for the ingress record
  ## NOTE: You may need to set this to '/*' in order to use this with ALB ingress controllers
  ##
  path: /
  ## @param ingress.annotations [object] Additional annotations for the Ingress resource. To enable certificate autogeneration, place here your cert-manager annotations.
  ## Use this parameter to set the required annotations for cert-manager, see
  ## ref: https://cert-manager.io/docs/usage/ingress/#supported-annotations
  ## e.g:
  ## annotations:
  ##   kubernetes.io/ingress.class: nginx
  ##   cert-manager.io/cluster-issuer: cluster-issuer-name
  ##
  annotations: {}
  ## @param ingress.tls Enable TLS configuration for the host defined at `ingress.hostname` parameter
  ## TLS certificates will be retrieved from a TLS secret with name: `{{- printf "%s-tls" .Values.ingress.hostname }}`
  ## You can:
  ##   - Use the `ingress.secrets` parameter to create this TLS secret
  ##   - Rely on cert-manager to create it by setting the corresponding annotations
  ##   - Rely on Helm to create self-signed certificates by setting `ingress.selfSigned=true`
  ##
  tls: false
  ## @param ingress.selfSigned Create a TLS secret for this ingress record using self-signed certificates generated by Helm
  ##
  selfSigned: false
  ## @param ingress.extraHosts An array with additional hostname(s) to be covered with the ingress record
  ## e.g:
  ## extraHosts:
  ##   - name: airflow.local
  ##     path: /
  ##
  extraHosts: []
  ## @param ingress.extraPaths An array with additional arbitrary paths that may need to be added to the ingress under the main host
  ## e.g:
  ## extraPaths:
  ## - path: /*
  ##   backend:
  ##     serviceName: ssl-redirect
  ##     servicePort: use-annotation
  ##
  extraPaths: []
  ## @param ingress.extraTls TLS configuration for additional hostname(s) to be covered with this ingress record
  ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/#tls
  ## e.g:
  ## extraTls:
  ## - hosts:
  ##     - airflow.local
  ##   secretName: airflow.local-tls
  ##
  extraTls: []
  ## @param ingress.secrets Custom TLS certificates as secrets
  ## NOTE: 'key' and 'certificate' are expected in PEM format
  ## NOTE: 'name' should line up with a 'secretName' set further up
  ## If it is not set and you're using cert-manager, this is unneeded, as it will create a secret for you with valid certificates
  ## If it is not set and you're NOT using cert-manager either, self-signed certificates will be created valid for 365 days
  ## It is also possible to create and manage the certificates outside of this helm chart
  ## Please see README.md for more information
  ## e.g:
  ## secrets:
  ##   - name: airflow.local-tls
  ##     key: |-
  ##       -----BEGIN RSA PRIVATE KEY-----
  ##       ...
  ##       -----END RSA PRIVATE KEY-----
  ##     certificate: |-
  ##       -----BEGIN CERTIFICATE-----
  ##       ...
  ##       -----END CERTIFICATE-----
  ##
  secrets: []
  ## @param ingress.extraRules Additional rules to be covered with this ingress record
  ## ref: https://kubernetes.io/docs/concepts/services-networking/ingress/#ingress-rules
  ## e.g:
  ## extraRules:
  ## - host: example.local
  ##     http:
  ##       path: /
  ##       backend:
  ##         service:
  ##           name: example-svc
  ##           port:
  ##             name: http
  ##
  extraRules: []

## @section Other Parameters

## Service account for Airflow pods to use.
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
##
serviceAccount:
  ## @param serviceAccount.create Enable creation of ServiceAccount for Airflow pods
  ##
  create: true
  ## @param serviceAccount.name The name of the ServiceAccount to use.
  ## If not set and create is true, a name is generated using the common.names.fullname template
  ##
  name: ""
  ## @param serviceAccount.automountServiceAccountToken Allows auto mount of ServiceAccountToken on the serviceAccount created
  ## Can be set to false if pods using this serviceAccount do not need to use K8s API
  ##
  automountServiceAccountToken: false
  ## @param serviceAccount.annotations Additional custom annotations for the ServiceAccount
  ##
  annotations: {}
## Role Based Access
## Ref: https://kubernetes.io/docs/admin/authorization/rbac/
## @param rbac.create Create Role and RoleBinding
##
rbac:
  create: false
  ## @param rbac.rules Custom RBAC rules to set
  ## e.g:
  ## rules:
  ##   - apiGroups:
  ##       - ""
  ##     resources:
  ##       - pods
  ##     verbs:
  ##       - get
  ##       - list
  ##
  rules: []

## @section StatsD metrics parameters
##
metrics:
  ## @param metrics.enabled Enable a StatsD exporter that collects StatsD metrics from Airflow components and expose them as Prometheus metrics
  ##
  enabled: false
  ## Bitnami StatsD exporter image
  ## ref: https://hub.docker.com/r/bitnami/statsd-exporter/tags/
  ## @param metrics.image.registry [default: REGISTRY_NAME] StatsD exporter image registry
  ## @param metrics.image.repository [default: REPOSITORY_NAME/statsd-exporter] StatsD exporter image repository
  ## @skip metrics.image.tag StatsD exporter image tag (immutable tags are recommended)
  ## @param metrics.image.digest StatsD exporter image digest in the way sha256:aa.... Please note this parameter, if set, will override the tag
  ## @param metrics.image.pullPolicy StatsD exporter image pull policy
  ## @param metrics.image.pullSecrets StatsD exporter image pull secrets
  ##
  image:
    registry: docker.io
    repository: bitnami/statsd-exporter
    tag: 0.28.0-debian-12-r0
    digest: ""
    pullPolicy: IfNotPresent
    ## Optionally specify an array of imagePullSecrets.
    ## Secrets must be manually created in the namespace.
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
    ## e.g:
    ## pullSecrets:
    ##   - myRegistryKeySecretName
    ##
    pullSecrets: []
  ## @param metrics.configuration Specify content for StatsD exporter's mappings.yml
  ##
  configuration: ""
  ## @param metrics.existingConfigmap Name of an existing config map containing the StatsD exporter's mappings.yml
  ##
  existingConfigmap: ""
  ## @param metrics.containerPorts.ingest StatsD exporter ingest container port (used for the metrics ingestion from Airflow components)
  ## @param metrics.containerPorts.metrics StatsD exporter metrics container port (used to expose Prometheus metrics)
  ##
  containerPorts:
    ingest: 9125
    metrics: 9102
  ## StatsD exporter resource requests and limits
  ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
  ## @param metrics.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, micro, small, medium, large, xlarge, 2xlarge). This is ignored if metrics.resources is set (metrics.resources is recommended for production).
  ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
  ##
  resourcesPreset: "nano"
  ## @param metrics.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
  ## Example:
  ## resources:
  ##   requests:
  ##     cpu: 2
  ##     memory: 512Mi
  ##   limits:
  ##     cpu: 3
  ##     memory: 1024Mi
  ##
  resources: {}
  ## StatsD exporter pods' Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
  ## @param metrics.podSecurityContext.enabled Enable security context for the pods
  ## @param metrics.podSecurityContext.fsGroupChangePolicy Set filesystem group change policy
  ## @param metrics.podSecurityContext.sysctls Set kernel settings using the sysctl interface
  ## @param metrics.podSecurityContext.supplementalGroups Set filesystem extra groups
  ## @param metrics.podSecurityContext.fsGroup Set StatsD exporter pod's Security Context fsGroup
  ##
  podSecurityContext:
    enabled: true
    fsGroupChangePolicy: Always
    sysctls: []
    supplementalGroups: []
    fsGroup: 1001
  ## StatsD exporter containers' Security Context
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-container
  ## @param metrics.containerSecurityContext.enabled Enable StatsD exporter containers' Security Context
  ## @param metrics.containerSecurityContext.seLinuxOptions [object,nullable] Set SELinux options in container
  ## @param metrics.containerSecurityContext.runAsUser Set StatsD exporter containers' Security Context runAsUser
  ## @param metrics.containerSecurityContext.runAsGroup Set StatsD exporter containers' Security Context runAsGroup
  ## @param metrics.containerSecurityContext.runAsNonRoot Set StatsD exporter containers' Security Context runAsNonRoot
  ## @param metrics.containerSecurityContext.privileged Set StatsD exporter containers' Security Context privileged
  ## @param metrics.containerSecurityContext.allowPrivilegeEscalation Set StatsD exporter containers' Security Context allowPrivilegeEscalation
  ## @param metrics.containerSecurityContext.readOnlyRootFilesystem Set StatsD exporter containers' Security Context readOnlyRootFilesystem
  ## @param metrics.containerSecurityContext.capabilities.drop List of capabilities to be dropped
  ## @param metrics.containerSecurityContext.seccompProfile.type Set containers' Security Context seccomp profile
  ## e.g:
  ##   containerSecurityContext:
  ##     enabled: true
  ##     capabilities:
  ##       drop: ["NET_RAW"]
  ##     readOnlyRootFilesystem: true
  ##
  containerSecurityContext:
    enabled: true
    seLinuxOptions: {}
    runAsUser: 1001
    runAsGroup: 1001
    runAsNonRoot: true
    privileged: false
    allowPrivilegeEscalation: false
    readOnlyRootFilesystem: true
    capabilities:
      drop: ["ALL"]
    seccompProfile:
      type: "RuntimeDefault"
  ## Configure extra options for StatsD exporter containers' liveness, readiness and startup probes
  ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-liveness-readiness-startup-probes/#configure-probes
  ## @param metrics.livenessProbe.enabled Enable livenessProbe on StatsD exporter containers
  ## @param metrics.livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
  ## @param metrics.livenessProbe.periodSeconds Period seconds for livenessProbe
  ## @param metrics.livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
  ## @param metrics.livenessProbe.failureThreshold Failure threshold for livenessProbe
  ## @param metrics.livenessProbe.successThreshold Success threshold for livenessProbe
  ##
  livenessProbe:
    enabled: true
    initialDelaySeconds: 180
    periodSeconds: 20
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param metrics.readinessProbe.enabled Enable readinessProbe on StatsD exporter containers
  ## @param metrics.readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
  ## @param metrics.readinessProbe.periodSeconds Period seconds for readinessProbe
  ## @param metrics.readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
  ## @param metrics.readinessProbe.failureThreshold Failure threshold for readinessProbe
  ## @param metrics.readinessProbe.successThreshold Success threshold for readinessProbe
  ##
  readinessProbe:
    enabled: true
    initialDelaySeconds: 30
    periodSeconds: 10
    timeoutSeconds: 5
    failureThreshold: 6
    successThreshold: 1
  ## @param metrics.startupProbe.enabled Enable startupProbe on StatsD exporter containers
  ## @param metrics.startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
  ## @param metrics.startupProbe.periodSeconds Period seconds for startupProbe
  ## @param metrics.startupProbe.timeoutSeconds Timeout seconds for startupProbe
  ## @param metrics.startupProbe.failureThreshold Failure threshold for startupProbe
  ## @param metrics.startupProbe.successThreshold Success threshold for startupProbe
  ##
  startupProbe:
    enabled: false
    initialDelaySeconds: 60
    periodSeconds: 10
    timeoutSeconds: 1
    failureThreshold: 15
    successThreshold: 1
  ## @param metrics.customLivenessProbe Custom livenessProbe that overrides the default one
  ##
  customLivenessProbe: {}
  ## @param metrics.customReadinessProbe Custom readinessProbe that overrides the default one
  ##
  customReadinessProbe: {}
  ## @param metrics.customStartupProbe Custom startupProbe that overrides the default one
  ##
  customStartupProbe: {}
  ## @param metrics.lifecycleHooks for the StatsD exporter containers' to automate configuration before or after startup
  ##
  lifecycleHooks: {}
  ## @param metrics.automountServiceAccountToken Mount Service Account token in pod
  ##
  automountServiceAccountToken: false
  ## @param metrics.hostAliases StatsD exporter pods host aliases
  ## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
  ##
  hostAliases: []
  ## @param metrics.podLabels Extra labels for StatsD exporter pods
  ## Ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  ##
  podLabels: {}
  ## @param metrics.podAnnotations Extra annotations for StatsD exporter pods
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
  ##
  podAnnotations: {}
  ## @param metrics.podAffinityPreset Pod affinity preset. Ignored if `metrics.affinity` is set. Allowed values: `soft` or `hard`
  ## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAffinityPreset: ""
  ## @param metrics.podAntiAffinityPreset Pod anti-affinity preset. Ignored if `metrics.affinity` is set. Allowed values: `soft` or `hard`
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
  ##
  podAntiAffinityPreset: soft
  ## Node metrics.affinity preset
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
  ##
  nodeAffinityPreset:
    ## @param metrics.nodeAffinityPreset.type Node affinity preset type. Ignored if `metrics.affinity` is set. Allowed values: `soft` or `hard`
    ##
    type: ""
    ## @param metrics.nodeAffinityPreset.key Node label key to match Ignored if `metrics.affinity` is set.
    ## E.g.
    ## key: "kubernetes.io/e2e-az-name"
    ##
    key: ""
    ## @param metrics.nodeAffinityPreset.values Node label values to match. Ignored if `metrics.affinity` is set.
    ## E.g.
    ## values:
    ##   - e2e-az1
    ##   - e2e-az2
    ##
    values: []
  ## @param metrics.affinity Affinity for StatsD exporter pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
  ## Note: metrics.podAffinityPreset, metrics.podAntiAffinityPreset, and metrics.nodeAffinityPreset will be ignored when it's set
  ##
  affinity: {}
  ## @param metrics.nodeSelector Node labels for StatsD exporter pods assignment
  ## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/
  ##
  nodeSelector: {}
  ## @param metrics.priorityClassName StatsD exporter pods' priorityClassName
  ##
  priorityClassName: ""
  ## @param metrics.tolerations Tolerations for pod assignment
  ## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  ##
  tolerations: []
  ## @param metrics.topologySpreadConstraints Topology Spread Constraints for pod assignment spread across your cluster among failure-domains. Evaluated as a template
  ## Ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/#spread-constraints-for-pods
  ##
  topologySpreadConstraints: []
  ## @param metrics.schedulerName Name of the k8s scheduler (other than default) for StatsD exporter
  ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
  ##
  schedulerName: ""
  ## @param metrics.terminationGracePeriodSeconds Seconds StatsD exporter pod needs to terminate gracefully
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod/#termination-of-pods
  ##
  terminationGracePeriodSeconds: ""
  ## @param metrics.extraVolumes Optionally specify extra list of additional volumes for the StatsD exporter pods
  ##
  extraVolumes: []
  ## @param metrics.extraVolumeMounts Optionally specify extra list of additional volumeMounts for the StatsD exporter containers
  ##
  extraVolumeMounts: []
  ## StatsD metrics service configuration
  ##
  service:
    ## @param metrics.service.ports.ingest StatsD exporter ingest service port (used for the metrics ingestion from Airflow components)
    ## @param metrics.service.ports.metrics StatsD exporter metrics service port (used to expose Prometheus metrics)
    ##
    ports:
      ingest: 9125
      metrics: 9102
    ## @param metrics.service.clusterIP Static clusterIP or None for headless services
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#choosing-your-own-ip-address
    ##
    clusterIP: ""
    ## @param metrics.service.sessionAffinity Control where client requests go, to the same pod or round-robin
    ## Values: ClientIP or None
    ## ref: https://kubernetes.io/docs/concepts/services-networking/service/
    ##
    sessionAffinity: None
    ## @param metrics.service.annotations [object] Annotations for the StatsD metrics service
    ##
    annotations:
      prometheus.io/scrape: "true"
      prometheus.io/port: "{{ .Values.metrics.service.ports.metrics }}"
  ## Prometheus Operator ServiceMonitor configuration
  ##
  serviceMonitor:
    ## @param metrics.serviceMonitor.enabled if `true`, creates a Prometheus Operator ServiceMonitor (requires `metrics.enabled` to be `true`)
    ##
    enabled: false
    ## @param metrics.serviceMonitor.namespace Namespace in which Prometheus is running
    ##
    namespace: ""
    ## @param metrics.serviceMonitor.interval Interval at which metrics should be scraped
    ## ref: https://github.com/coreos/prometheus-operator/blob/master/Documentation/api.md#endpoint
    ##
    interval: ""
    ## @param metrics.serviceMonitor.scrapeTimeout Timeout after which the scrape is ended
    ## ref: https://github.com/coreos/prometheus-operator/blob/master/Documentation/api.md#endpoint
    ##
    scrapeTimeout: ""
    ## @param metrics.serviceMonitor.labels Additional labels that can be used so ServiceMonitor will be discovered by Prometheus
    ##
    labels: {}
    ## @param metrics.serviceMonitor.selector Prometheus instance selector labels
    ## ref: https://github.com/bitnami/charts/tree/main/bitnami/prometheus-operator#prometheus-configuration
    ##
    selector: {}
    ## @param metrics.serviceMonitor.relabelings RelabelConfigs to apply to samples before scraping
    ##
    relabelings: []
    ## @param metrics.serviceMonitor.metricRelabelings MetricRelabelConfigs to apply to samples before ingestion
    ##
    metricRelabelings: []
    ## @param metrics.serviceMonitor.honorLabels Specify honorLabels parameter to add the scrape endpoint
    ##
    honorLabels: false
    ## @param metrics.serviceMonitor.jobLabel The name of the label on the target service to use as the job name in prometheus.
    ##
    jobLabel: ""
  ## Metrics Network Policies
  ## Ref: https://kubernetes.io/docs/concepts/services-networking/network-policies/
  ##
  networkPolicy:
    ## @param metrics.networkPolicy.enabled Specifies whether a NetworkPolicy should be created
    ##
    enabled: true
    ## @param metrics.networkPolicy.allowExternal Don't require client label for connections
    ## The Policy model to apply. When set to false, only pods with the correct
    ## client label will have network access to the ports Metrics is listening
    ## on. When true, Metrics will accept connections from any source
    ## (with the correct destination port).
    ##
    allowExternal: true
    ## @param metrics.networkPolicy.allowExternalEgress Allow the pod to access any range of port and all destinations.
    ##
    allowExternalEgress: true
    ## @param metrics.networkPolicy.extraIngress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraIngress:
    ##   - ports:
    ##       - port: 1234
    ##     from:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    extraIngress: []
    ## @param metrics.networkPolicy.extraEgress [array] Add extra ingress rules to the NetworkPolicy
    ## e.g:
    ## extraEgress:
    ##   - ports:
    ##       - port: 1234
    ##     to:
    ##       - podSelector:
    ##           - matchLabels:
    ##               - role: frontend
    ##       - podSelector:
    ##           - matchExpressions:
    ##               - key: role
    ##                 operator: In
    ##                 values:
    ##                   - frontend
    ##
    extraEgress: []
    ## @param metrics.networkPolicy.ingressNSMatchLabels [object] Labels to match to allow traffic from other namespaces
    ## @param metrics.networkPolicy.ingressNSPodMatchLabels [object] Pod labels to match to allow traffic from other namespaces
    ##
    ingressNSMatchLabels: {}
    ingressNSPodMatchLabels: {}

## @section Airflow database parameters

## PostgreSQL chart configuration
## ref: https://github.com/bitnami/charts/blob/main/bitnami/postgresql/values.yaml
## @param postgresql.enabled Switch to enable or disable the PostgreSQL helm chart
## @param postgresql.auth.enablePostgresUser Assign a password to the "postgres" admin user. Otherwise, remote access will be blocked for this user
## @param postgresql.auth.username Name for a custom user to create
## @param postgresql.auth.password Password for the custom user to create
## @param postgresql.auth.database Name for a custom database to create
## @param postgresql.auth.existingSecret Name of existing secret to use for PostgreSQL credentials
## @param postgresql.architecture PostgreSQL architecture (`standalone` or `replication`)
##
postgresql:
  enabled: true
  auth:
    enablePostgresUser: true
    username: bn_airflow
    password: ""
    database: bitnami_airflow
    existingSecret: ""
  architecture: standalone
  primary:
    ## PostgreSQL Primary resource requests and limits
    ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    ## @param postgresql.primary.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if primary.resources is set (primary.resources is recommended for production).
    ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
    ##
    resourcesPreset: "nano"
    ## @param postgresql.primary.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
    ## Example:
    ## resources:
    ##   requests:
    ##     cpu: 2
    ##     memory: 512Mi
    ##   limits:
    ##     cpu: 3
    ##     memory: 1024Mi
    ##
    resources: {}
## External PostgreSQL configuration
## All of these values are only used when postgresql.enabled is set to false
## @param externalDatabase.host Database host (ignored if externalDatabase.sqlConnection is set)
## @param externalDatabase.port Database port number (ignored if externalDatabase.sqlConnection is set)
## @param externalDatabase.user Non-root username for Airflow (ignored if externalDatabase.sqlConnection is set)
## @param externalDatabase.password Password for the non-root username for Airflow (ignored if externalDatabase.sqlConnection or externalDatabase.existingSecret are set)
## @param externalDatabase.database Airflow database name (ignored if externalDatabase.sqlConnection is set)
## @param externalDatabase.sqlConnection SQL connection string
## @param externalDatabase.existingSecret Name of an existing secret resource containing the database credentials
## @param externalDatabase.existingSecretPasswordKey Name of an existing secret key containing the database credentials (ignored if externalDatabase.existingSecretSqlConnectionKey is set)
## @param externalDatabase.existingSecretSqlConnectionKey Name of an existing secret key containing the SQL connection string
##
externalDatabase:
  host: localhost
  port: 5432
  user: bn_airflow
  database: bitnami_airflow
  password: ""
  sqlConnection: ""
  existingSecret: ""
  existingSecretPasswordKey: ""
  existingSecretSqlConnectionKey: ""
## Redis&reg; chart configuration
## ref: https://github.com/bitnami/charts/blob/main/bitnami/redis/values.yaml
## @param redis.enabled Switch to enable or disable the Redis&reg; helm
## @param redis.auth.enabled Enable password authentication
## @param redis.auth.password Redis&reg; password
## @param redis.auth.existingSecret The name of an existing secret with Redis&reg; credentials
## @param redis.architecture Redis&reg; architecture. Allowed values: `standalone` or `replication`
##
redis:
  enabled: true
  auth:
    enabled: true
    ## Redis&reg; password (both master and slave). Defaults to a random 10-character alphanumeric string if not set and auth.enabled is true.
    ## It should always be set using the password value or in the existingSecret to avoid issues
    ## with Airflow.
    ## The password value is ignored if existingSecret is set
    password: ""
    existingSecret: ""
  architecture: standalone
  master:
    ## @param redis.master.service.ports.redis Redis&reg; port
    ##
    service:
      ports:
        redis: 6379
    ## Redis&reg; master resource requests and limits
    ## ref: https://kubernetes.io/docs/concepts/configuration/manage-compute-resources-container/
    ## @param redis.master.resourcesPreset Set container resources according to one common preset (allowed values: none, nano, small, medium, large, xlarge, 2xlarge). This is ignored if master.resources is set (master.resources is recommended for production).
    ## More information: https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15
    ##
    resourcesPreset: "nano"
    ## @param redis.master.resources Set container requests and limits for different resources like CPU or memory (essential for production workloads)
    ## Example:
    ## resources:
    ##   requests:
    ##     cpu: 2
    ##     memory: 512Mi
    ##   limits:
    ##     cpu: 3
    ##     memory: 1024Mi
    ##
    resources: {}

## External Redis&reg; configuration
## All of these values are only used when redis.enabled is set to false
## @param externalRedis.host Redis&reg; host
## @param externalRedis.port Redis&reg; port number
## @param externalRedis.username Redis&reg; username
## @param externalRedis.password Redis&reg; password
## @param externalRedis.existingSecret Name of an existing secret resource containing the Redis&trade credentials
## @param externalRedis.existingSecretPasswordKey Name of an existing secret key containing the Redis&trade credentials
##
externalRedis:
  host: localhost
  port: 6379
  ## Most Redis&reg; implementations do not require a username
  ## to authenticate and it should be enough with the password
  username: ""
  password: ""
  existingSecret: ""
  existingSecretPasswordKey: ""