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values.yaml
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# Default values for dataclay-charts.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
image:
# -- Repository with the dataClay image.
# Consider the public repo at Docker Hub alexbarcelo/dataclay-icos if you need to perform
# some development or testing locally (e.g. on minikube, in your laptop).
repository: harbor.res.eng.it/icos-private/data-management/dataclay-images/main
pullPolicy: IfNotPresent
# Overrides the image tag whose default is the chart appVersion.
tag: latest
imagePullSecrets: []
nameOverride: ""
serviceAccount:
# -- Specifies whether a service account should be created
create: true
# -- Annotations to add to the service account
annotations: {}
# -- The name of the service account to use.
# If not set and create is true, a name is generated using the name template
name: ""
persistence:
# -- By default, allow dataClay backends to have some kind of persistence
enabled: true
storageClass: ""
accessMode: ReadWriteOnce
# -- Required storage will depend on the datasets used by the applications
size: 10Gi
dataclayCredentials:
# -- User for basic auth to dataClay services
username: testuser
# -- Password for basic auth to dataClay services
password: s3cret
# -- Default dataset to use for storing objects (other can be defined on runtime)
dataset: testdata
globalPodAnnotations: {}
globalPodSecurityContext: {}
# fsGroup: 2000
globalSecurityContext: {}
# capabilities:
# drop:
# - ALL
# readOnlyRootFilesystem: true
# runAsNonRoot: true
# runAsUser: 1000
globalNodeSelector: {}
globalTolerations: []
globalAffinity: {}
mds:
replicaCount: 1
podAnnotations: {}
podSecurityContext: {}
securityContext: {}
service:
type: ClusterIP
port: 16587
resources: {}
# By default, helm recommends not to specify default resources in the chart defaults.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
backends:
replicaCount: 2
podAnnotations: {}
podSecurityContext: {}
securityContext: {}
service:
type: ClusterIP
port: 6867
resources: {}
# By default, helm recommends not to specify default resources in the chart defaults.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
proxy:
enabled: true
replicaCount: 1
podAnnotations: {}
podSecurityContext: {}
securityContext: {}
service:
type: ClusterIP
port: 8676
resources: {}
# By default, helm recommends not to specify default resources in the chart defaults.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}
model_bootstrap:
# -- Bootstrap the dataClay service with one or more source code data models
enabled: true
sources:
- # -- Descriptive name
name: intelligence-model
# Image with data models. It will be run as an initContainer
repository: harbor.res.eng.it/icos-private/ia/coordination
# Pull policy for the image (probably you want Always if using `latest` tag)
pullPolicy: IfNotPresent
tag: v1.3.1
# -- Path to the source code in the repository
base_path: /home/bentoml/bento/src
# -- Name of the Python package with the model (must be a folder within the base_path)
model_folder: model
redis:
image:
repository: "redis"
tag: "7.2-alpine"
pullPolicy: IfNotPresent
persistence:
enabled: true
storageClass: ""
accessMode: ReadWriteOnce
size: 1Gi