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Volume Mounts Nfs

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from hera.workflows import (
    DAG,
    NFSVolume,
    Parameter,
    Workflow,
    models as m,
    script,
)


@script(
    inputs=Parameter(name="vol"),
    volume_mounts=[m.VolumeMount(name="{{inputs.parameters.vol}}", mount_path="/mnt/nfs")],
)
def foo():
    import os
    import subprocess

    print(os.listdir("/mnt"))
    print(subprocess.run("cd /mnt && df -h", shell=True, capture_output=True).stdout.decode())


with Workflow(
    generate_name="volumes-",
    volumes=[
        NFSVolume(
            name="nfs-volume",
            server="your.nfs.server",
            mount_path="/mnt/nfs",
            path="/share/nfs",
            size="1Gi",
            storage_class_name="nfs-client",
        )
    ],
    entrypoint="d",
) as w:
    with DAG(name="d"):
        foo(name="v1", arguments=Parameter(name="vol", value="nfs-volume"))

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apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: volumes-
spec:
  entrypoint: d
  templates:
  - dag:
      tasks:
      - arguments:
          parameters:
          - name: vol
            value: nfs-volume
        name: v1
        template: foo
    name: d
  - inputs:
      parameters:
      - name: vol
    name: foo
    script:
      command:
      - python
      image: python:3.8
      source: 'import os

        import sys

        sys.path.append(os.getcwd())

        import os

        import subprocess

        print(os.listdir(''/mnt''))

        print(subprocess.run(''cd /mnt && df -h'', shell=True, capture_output=True).stdout.decode())'
      volumeMounts:
      - mountPath: /mnt/nfs
        name: '{{inputs.parameters.vol}}'
  volumes:
  - name: nfs-volume
    nfs:
      path: /share/nfs
      server: your.nfs.server

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