## @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
##
global:
  imageRegistry: ""
  ## E.g.
  ## imagePullSecrets:
  ##   - myRegistryKeySecretName
  ##
  imagePullSecrets: []

## @section Common parameters

## @param kubeVersion Force target Kubernetes version (using Helm capabilities if not set)
##
kubeVersion: ""
## @param nameOverride String to partially override common.names.fullname template (will maintain the release name)
##
nameOverride: ""
## @param fullnameOverride String to fully override common.names.fullname template
##
fullnameOverride: ""
## @param commonAnnotations Annotations to add to all deployed objects
##
commonAnnotations: {}
## @param commonLabels Labels to add to all deployed objects
##
commonLabels: {}
## @param extraDeploy Array of extra objects to deploy with the release
##
extraDeploy: []
## Enable diagnostic mode in the deployment
##
diagnosticMode:
  ## @param diagnosticMode.enabled Enable diagnostic mode (all probes will be disabled and the command will be overridden)
  ##
  enabled: false
  ## @param diagnosticMode.command Command to override all containers in the deployment
  ##
  command:
    - sleep
  ## @param diagnosticMode.args Args to override all containers in the deployment
  ##
  args:
    - infinity

## @section TensorFlow parameters

## TensorFlow Serving server image version
## ref: https://hub.docker.com/r/bitnami/tensorflow-serving/tags/
## @param server.image.registry TensorFlow Serving image registry
## @param server.image.repository TensorFlow Serving image repository
## @param server.image.tag TensorFlow Serving Image tag (immutable tags are recommended)
## @param server.image.pullPolicy TensorFlow Serving image pull policy
## @param server.image.pullSecrets Specify docker-registry secret names as an array
##
server:
  image:
    registry: docker.io
    repository: bitnami/tensorflow-serving
    tag: 2.8.0-debian-10-r39
    ## Specify a imagePullPolicy
    ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
    ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-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: []
## TensorFlow ResNet image version
## ref: https://hub.docker.com/r/bitnami/tensorflow-resnet/tags/
## @param client.image.registry TensorFlow ResNet image registry
## @param client.image.repository TensorFlow ResNet image repository
## @param client.image.tag TensorFlow ResNet Image tag (immutable tags are recommended)
## @param client.image.pullPolicy TensorFlow ResNet image pull policy
## @param client.image.pullSecrets Specify docker-registry secret names as an array
##
client:
  image:
    registry: docker.io
    repository: bitnami/tensorflow-resnet
    tag: 2.8.0-debian-10-r30
    ## Specify a imagePullPolicy
    ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
    ## ref: https://kubernetes.io/docs/user-guide/images/#pre-pulling-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: []
## @param hostAliases Deployment pod host aliases
## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
##
hostAliases: []
## Container ports
## @param containerPorts.server Tensorflow server port
## @param containerPorts.restApi TensorFlow Serving Rest API Port
##
containerPorts:
  server: 8500
  restApi: 8501
## @param replicaCount Number of replicas
##
replicaCount: 1
## @param podAnnotations Pod annotations
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
##
podAnnotations: {}
## @param podLabels Pod labels
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
##
podLabels: {}
## @param podAffinityPreset Pod affinity preset. Ignored if `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 podAntiAffinityPreset Pod anti-affinity preset. Ignored if `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 affinity preset
## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
##
nodeAffinityPreset:
  ## @param nodeAffinityPreset.type Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
  ##
  type: ""
  ## @param nodeAffinityPreset.key Node label key to match Ignored if `affinity` is set.
  ## E.g.
  ## key: "kubernetes.io/e2e-az-name"
  ##
  key: ""
  ## @param nodeAffinityPreset.values Node label values to match. Ignored if `affinity` is set.
  ## E.g.
  ## values:
  ##   - e2e-az1
  ##   - e2e-az2
  ##
  values: []
## @param affinity Affinity for pod assignment. Evaluated as a template.
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
##
affinity: {}
## @param nodeSelector Node labels for pod assignment. Evaluated as a template.
## ref: https://kubernetes.io/docs/user-guide/node-selection/
##
nodeSelector: {}
## @param tolerations Tolerations for pod assignment. Evaluated as a template.
## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
##
tolerations: []
## Configure Pods Security Context
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
## @param podSecurityContext.enabled Enabled pod Security Context
## @param podSecurityContext.fsGroup Set pod Security Context fsGroup
##
podSecurityContext:
  enabled: true
  fsGroup: 1001
## Configure Container Security Context
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/#set-the-security-context-for-a-pod
## @param containerSecurityContext.enabled Enabled container Security Context
## @param containerSecurityContext.runAsUser Set container Security Context runAsUser
## @param containerSecurityContext.runAsNonRoot Set container Security Context runAsNonRoot
##
containerSecurityContext:
  enabled: true
  runAsUser: 1001
  runAsNonRoot: true
## @param command Override default container command (useful when using custom images)
##
command: []
## @param args Override default container args (useful when using custom images)
##
args: []
## @param lifecycleHooks for the container to automate configuration before or after startup
##
lifecycleHooks: {}
## @param extraEnvVars Array with extra environment variables for the Tensorflow Serving container(s)
## e.g:
## extraEnvVars:
##   - name: FOO
##     value: "bar"
##
extraEnvVars: []
## @param extraEnvVarsCM Name of existing ConfigMap containing extra env variables for the Tensorflow Serving container(s)
##
extraEnvVarsCM: ""
## @param extraEnvVarsSecret Name of existing Secret containing extra env variables for the Tensorflow Serving container(s)
##
extraEnvVarsSecret: ""
## @param extraVolumes Optionally specify extra list of additional volumes
##
extraVolumes: []
## @param extraVolumeMounts Optionally specify extra list of additional volumeMounts for the Tensorflow Serving container(s)
##
extraVolumeMounts: []
## @param sidecars Add additional sidecar containers to the pod
## e.g:
## sidecars:
##   - name: your-image-name
##     image: your-image
##     imagePullPolicy: Always
##     ports:
##       - name: portname
##         containerPort: 1234
##
sidecars: []
## @param initContainers Add additional init containers to the pod
## ref: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/
## e.g:
## initContainers:
##  - name: your-image-name
##    image: your-image
##    imagePullPolicy: Always
##    command: ['sh', '-c', 'echo "hello world"']
##
initContainers: []
## @param updateStrategy.type Deployment strategy type.
## ref: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#strategy
## e.g:
## updateStrategy:
##  type: RollingUpdate
##  rollingUpdate:
##    maxSurge: 25%
##    maxUnavailable: 25%
##
updateStrategy:
  type: RollingUpdate
## @param priorityClassName Pod's priorityClassName
##
priorityClassName: ""
## @param schedulerName Name of the k8s scheduler (other than default)
## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
##
schedulerName: ""
## @param topologySpreadConstraints Topology Spread Constraints for pod assignment
## https://kubernetes.io/docs/concepts/workloads/pods/pod-topology-spread-constraints/
## The value is evaluated as a template
##
topologySpreadConstraints: []
## Containers' resource requests and limits
## ref: https://kubernetes.io/docs/user-guide/compute-resources/
## We usually recommend not to specify default resources and to leave this as a conscious
## choice for the user. This also increases chances charts run on environments with little
## resources, such as Minikube. If you do want to specify resources, uncomment the following
## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
## @param resources.limits The resources limits for the container
## @param resources.requests The requested resources for the container
##
resources:
  ## Example:
  ## limits:
  ##    cpu: 500m
  ##    memory: 1Gi
  limits: {}
  ## Examples:
  ## requests:
  ##    cpu: 250m
  ##    memory: 256Mi
  requests: {}
## Containers' startup probe
## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
## @param startupProbe.enabled Enable startupProbe
## @param startupProbe.initialDelaySeconds Initial delay seconds for startupProbe
## @param startupProbe.periodSeconds Period seconds for startupProbe
## @param startupProbe.timeoutSeconds Timeout seconds for startupProbe
## @param startupProbe.failureThreshold Failure threshold for startupProbe
## @param startupProbe.successThreshold Success threshold for startupProbe
##
startupProbe:
  enabled: false
  initialDelaySeconds: 30
  periodSeconds: 5
  timeoutSeconds: 5
  failureThreshold: 6
  successThreshold: 1
## Containers' liveness probe
## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
## @param livenessProbe.enabled Enable livenessProbe
## @param livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
## @param livenessProbe.periodSeconds Period seconds for livenessProbe
## @param livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
## @param livenessProbe.failureThreshold Failure threshold for livenessProbe
## @param livenessProbe.successThreshold Success threshold for livenessProbe
##
livenessProbe:
  enabled: true
  initialDelaySeconds: 30
  periodSeconds: 5
  timeoutSeconds: 5
  failureThreshold: 6
  successThreshold: 1
## Containers' readiness probe
## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
## @param readinessProbe.enabled Enable readinessProbe
## @param readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
## @param readinessProbe.periodSeconds Period seconds for readinessProbe
## @param readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
## @param readinessProbe.failureThreshold Failure threshold for readinessProbe
## @param readinessProbe.successThreshold Success threshold for readinessProbe
##
readinessProbe:
  enabled: true
  initialDelaySeconds: 15
  periodSeconds: 5
  timeoutSeconds: 5
  failureThreshold: 6
  successThreshold: 1
## @param customStartupProbe Custom liveness probe
##
customStartupProbe: {}
## @param customLivenessProbe Custom liveness probe
##
customLivenessProbe: {}
## @param customReadinessProbe Custom readiness probe
##
customReadinessProbe: {}
## Service for the scheduler node
##
service:
  ## @param service.type Kubernetes Service type
  ##
  type: LoadBalancer
  ## @param service.ports.server TensorFlow Serving server port
  ## @param service.ports.restApi TensorFlow Serving Rest API port
  ##
  ports:
    server: 8500
    restApi: 8501
  ## Specify the nodePort(s) value(s) for the LoadBalancer and NodePort service types.
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
  ## @param service.nodePorts.server Kubernetes server node port
  ## @param service.nodePorts.restApi Kubernetes Rest API node port
  ##
  nodePorts:
    server: ""
    restApi: ""
  ## @param service.clusterIP Service Cluster IP
  ## e.g.:
  ## clusterIP: None
  ##
  clusterIP: ""
  ## @param service.loadBalancerIP Service Load Balancer IP
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-loadbalancer
  ##
  loadBalancerIP: ""
  ## @param service.loadBalancerSourceRanges 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 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 service.extraPorts Extra ports to expose (normally used with the `sidecar` value)
  ##
  extraPorts: []
  ## @param service.annotations Additional custom annotations for Service
  ##
  annotations: {}
  ## @param service.sessionAffinity Session Affinity for Kubernetes service, can be "None" or "ClientIP"
  ## If "ClientIP", consecutive client requests will be directed to the same Pod
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#virtual-ips-and-service-proxies
  ##
  sessionAffinity: None
  ## @param service.sessionAffinityConfig Additional settings for the sessionAffinity
  ## sessionAffinityConfig:
  ##   clientIP:
  ##     timeoutSeconds: 300
  ##
  sessionAffinityConfig: {}
## TensorFlow Serving Prometheus exporter configuration
##
metrics:
  ## @param metrics.enabled Enable Prometheus exporter to expose Tensorflow server metrics
  ##
  enabled: false
  ## @param metrics.podAnnotations [object] Prometheus exporter pod annotations
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
  ##
  podAnnotations:
    prometheus.io/scrape: "true"
    prometheus.io/path: "/monitoring/prometheus/metrics"
    prometheus.io/port: "{{ .Values.containerPorts.restApi }}"