100 lines
2.7 KiB
YAML
100 lines
2.7 KiB
YAML
## If you want more than 1 replica you will have to use a ReadWriteMany volume
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replicaCount: 1
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image:
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repository: pypiserver/pypiserver
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tag: v1.5.1
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pullPolicy: IfNotPresent
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pullSecrets: []
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pypiserver:
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# for a list of options see: https://github.com/pypiserver/pypiserver
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extraArgs: []
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# - --disable-fallback
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# - --log-conf=/path/to/file
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auth:
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## comma-separated list of (case-insensitive) actions to authenticate
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## Use '.' or '' for empty. Requires to have set the password (option below).
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## Available actions are update, download and list
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actions: update
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## Map of username / encoded passwords that will be put to the htpasswd file
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## use `htpasswd -n -b username password` to generate them
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credentials: {}
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podAnnotations: {}
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podLabels: {}
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ingress:
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enabled: false
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className: ""
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annotations: {}
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hosts:
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- host: chart-example.local
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paths:
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- path: /
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pathType: ImplementationSpecific
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tls: []
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# - secretName: chart-example-tls
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# hosts:
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# - chart-example.local
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service:
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type: ClusterIP
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port: 8080
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annotations: {}
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labels: {}
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clusterIP: ""
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## List of IP addresses at which the pypiserver service is available
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## Ref: https://kubernetes.io/docs/user-guide/services/#external-ips
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externalIPs: []
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loadBalancerIP: ""
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loadBalancerSourceRanges: []
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# nodePort: 30000
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persistence:
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enabled: false
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## PyPi server packages Persistent Volume Storage Class
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## If defined, storageClassName: <storageClass>
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## If set to "-", storageClassName: "", which disables dynamic provisioning
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## If undefined (the default) or set to null, no storageClassName spec is
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## set, choosing the default provisioner. (gp2 on AWS, standard on
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## GKE, AWS & OpenStack)
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##
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# storageClass: "-"
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##
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## If you want to reuse an existing claim, you can pass the name of the PVC
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## using the existingClaim variable
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# existingClaim: your-claim
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##
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## The Access mode should be ReadWriteMany if you decide to scale up to more
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## than one replica
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accessMode: ReadWriteOnce
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size: 5Gi
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mountPropagation: None
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securityContext:
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enabled: true
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runAsUser: 0
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runAsGroup: 0
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fsGroup: 1000
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resources: {}
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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# limits:
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# cpu: 100m
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# memory: 128Mi
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# requests:
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# cpu: 100m
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# memory: 128Mi
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nodeSelector: {}
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tolerations: []
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affinity: {}
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