helm-charts/pypiserver/values.yaml

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## If you want more than 1 replica you will have to use a ReadWriteMany volume
replicaCount: 1
image:
repository: pypiserver/pypiserver
tag: v1.5.1
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pullPolicy: IfNotPresent
pullSecrets: []
pypiserver:
# for a list of options see: https://github.com/pypiserver/pypiserver
extraArgs: []
# - --disable-fallback
# - --log-conf=/path/to/file
auth:
## comma-separated list of (case-insensitive) actions to authenticate
## Use '.' or '' for empty. Requires to have set the password (option below).
## Available actions are update, download and list
actions: update
## Map of username / encoded passwords that will be put to the htpasswd file
## use `htpasswd -n -b username password` to generate them
credentials: {}
podAnnotations: {}
podLabels: {}
ingress:
enabled: false
className: ""
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annotations: {}
hosts:
- host: chart-example.local
paths:
- path: /
pathType: ImplementationSpecific
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tls: []
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
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service:
type: ClusterIP
port: 8080
annotations: {}
labels: {}
clusterIP: ""
## List of IP addresses at which the pypiserver service is available
## Ref: https://kubernetes.io/docs/user-guide/services/#external-ips
externalIPs: []
loadBalancerIP: ""
loadBalancerSourceRanges: []
# nodePort: 30000
persistence:
enabled: false
## PyPi server packages Persistent Volume Storage Class
## 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: "-"
##
## If you want to reuse an existing claim, you can pass the name of the PVC
## using the existingClaim variable
# existingClaim: your-claim
##
## The Access mode should be ReadWriteMany if you decide to scale up to more
## than one replica
accessMode: ReadWriteOnce
size: 5Gi
mountPropagation: None
securityContext:
enabled: true
runAsUser: 0
runAsGroup: 0
fsGroup: 1000
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:'.
# limits:
# cpu: 100m
# memory: 128Mi
# requests:
# cpu: 100m
# memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}