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GitOrigin-RevId: 6370f6ea785709295b6abcf9c60717cacf3ac432
65 lines
1.5 KiB
Jsonnet
65 lines
1.5 KiB
Jsonnet
local kube = import "k8s/configs/base.libsonnet";
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local linuxserver = import "k8s/configs/templates/core/linuxserver.libsonnet";
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local images = import "k8s/configs/images.libsonnet";
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local jupyterProbe(delaySeconds) = {
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initialDelaySeconds: delaySeconds,
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periodSeconds: 15,
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tcpSocket: {
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port: "http",
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},
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};
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local Params = kube.simpleFieldStruct([
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"namespace",
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"name",
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"filePath",
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"filesClaimName",
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]) {
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local webPort = 8888,
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labels: {},
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gatekeeperSidecar: null,
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lsParams: linuxserver.AppParams {
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name: $.name,
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namespace: $.namespace,
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filePath: $.filePath,
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templatePath: std.thisFile,
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baseAppName: "jupyter",
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imageName: "jupyter/datascience-notebook",
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labels+: $.labels,
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gatekeeperSidecar: $.gatekeeperSidecar,
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services: [
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linuxserver.Service {
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suffix: "ui",
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spec: kube.SvcUtil.BasicHttpClusterIpSpec(webPort)
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},
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],
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ports: [ kube.DeployUtil.ContainerPort("http", webPort), ],
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pvcs: [
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linuxserver.Pvc{
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name: "files",
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mountPath: "/home/joyvan/work",
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bindName: $.filesClaimName,
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},
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],
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resources: {
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requests: {
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cpu: "500m",
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memory: "1000Mi",
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},
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limits: {
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cpu: "2000m",
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memory: "4000Mi",
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},
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},
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//livenessProbe: jupyterProbe(/*delaySeconds=*/120),
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//readinessProbe: jupyterProbe(/*delaySeconds=*/120),
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},
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};
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local App(params) = linuxserver.App(params.lsParams);
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{
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Params: Params,
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App(params): App(params),
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}
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