59968e9fc4
Allow multiple publishers for different applications Included all necessary python application packages in setup.py Improved diagnostics and documentation in the R forecaster Changed installation method for the application to align with the requirements of Opendev and Zuul Refactoring of exn python connector code Improvements to the forecaster state variables, main prediction logic and the handling of influxdb connections Improvement in the prediction file handling of empty data Configuration file improvements Change-Id: Ic8aaa0728a4b936cd4c6e1ed5a0e01ba8f0fb002
83 lines
1.9 KiB
YAML
83 lines
1.9 KiB
YAML
# Default values for nebulous-exponential-smoothing-predictor.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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replicaCount: 1
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image:
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repository: "quay.io/nebulous/exponential-smoothing-predictor"
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pullPolicy: IfNotPresent
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# Overrides the image tag whose default is the chart appVersion.
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tag: ""
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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podAnnotations: {}
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podSecurityContext: {}
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# fsGroup: 2000
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securityContext: {}
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# capabilities:
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# drop:
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# - ALL
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# readOnlyRootFilesystem: true
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# runAsNonRoot: true
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# runAsUser: 1000
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service:
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type: ClusterIP
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port: 80
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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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# kubernetes.io/ingress.class: nginx
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# kubernetes.io/tls-acme: "true"
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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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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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autoscaling:
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enabled: false
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minReplicas: 1
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maxReplicas: 100
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targetCPUUtilizationPercentage: 80
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# targetMemoryUtilizationPercentage: 80
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nodeSelector: {}
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tolerations: []
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affinity: {}
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