Kubernetes Tips | Using scripts inside configmaps https://itnext.io/kubernetes-tips-using-scripts-inside-configmaps-9df03e17ac35

example1.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: slim-shady-configmap
data:
  slim-shady.sh: |
    #!/bin/bash

    echo "Hi!"
    echo "My name is"
    echo "What?"
    echo "My name is"
    echo "Who?"
    echo "My name is"
    echo "Chika-chika"
    echo "Slim Shady"
---
apiVersion: batch/v1
kind: Job
metadata:
  name: chicka-chicka-slim-shady
spec:
  template:
    spec:
      containers:
        - name: shady
          image: centos
          command: ["/script/slim-shady.sh"]
          volumeMounts:
            - name: script
              mountPath: "/script"
      volumes:
        - name: script
          configMap:
            name: slim-shady-configmap
            defaultMode: 0500
      restartPolicy: Never

example2.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: promote-model
data:
  promote_model.py: |
    """
    This file is used to demonstrate how to promote the latest version of a Model to "Production" stage so that it can be
    served out of the Model Registry.
    """
    import os
    import mlflow
    from mlflow.tracking import MlflowClient

    # Set the Remote Tracking Server Information
    mlflow.set_tracking_uri("http://mlflow")

    # Promote the latest Version of Staging to Production
    client = MlflowClient()
    model_name = os.getenv("MODEL_NAME")

    # Get the latest version in Stage "Staging" and promote to "Production"
    models = client.get_latest_versions(model_name, stages=["Staging"])
    for model in models:
        name = model.name
        latest_version = int(model.version)
        run_id = model.run_id
        current_stage = model.current_stage
        print(name, latest_version)
        # Transition
        client.transition_model_version_stage(
            name=name,
            version=latest_version,
            stage="Production"
        )
---
apiVersion: batch/v1
kind: Job
metadata:
  name: promote-model-a
spec:
  template:
    spec:
      containers:
        - name: promote
          image: wbassler/mlflow-utils:0.0.1
          command:
            - python
          args:
            - /mlflow/promote.py
          env: 
            - name: MODEL_NAME
              value: model-a
          volumeMounts:
            - name: promote
              mountPath: "/mlflow"
      volumes:
        - name: promote
          configMap:
            name: promote-model
            defaultMode: 0500
      restartPolicy: Never

example3.yaml

apiVersion: v1
kind: ConfigMap
metadata:
  name: create-users-dir
data:
  users.ini: |
    user1
    user2
    user3
    user5
  create-dir.sh: |
    #!/bin/bash
    set -ex
    cat /scripts/users.ini | while read line
    do
       mkdir -pv /nfs/folder/$line
    done
---
apiVersion: v1
kind: Pod
metadata:
  generateName: create-users-dirs
spec:
  containers:
  - name: create-users
    image: centos
    command: ["/scripts/create-dir.sh"]
    volumeMounts:
    - name: script
      mountPath: "/scripts"
  volumes:
    - name: script
      configMap:
        name: create-users-dir
        defaultMode: 0500
        items:
          - key: create-dir.sh
            path: create-dir.sh
          - key: users.ini
            path: users.ini