kubectl pipe error: KeyError: 'metadata'

[Martin Cassidy]

I'm trying to use the kubectl pipe to deploy to kubernets but I'm getting the error:

Traceback (most recent call last):  File "/pipe.py", line 165, in <module>    pipe.run()  File "/pipe.py", line 156, in run    self.handle_apply()  File "/pipe.py", line 113, in handle_apply    self.update_labels_in_metadata(template_file, labels)  File "/pipe.py", line 36, in update_labels_in_metadata    yaml_doc['metadata'].setdefault('labels', {}).update(labels)KeyError: 'metadata'

I assume that this is because my yml doesn't have a root element "metadata". The yml was generated using the fabric8 maven plugin, and looks similar to the below (I've removed large chunks of it, but this should be enough to go on:

---
apiVersion: v1
kind: List
items:
- apiVersion: v1
  kind: Service
  metadata:
    annotations:
    labels:
    name: 
  spec:
    ports:
    type: NodePort
- apiVersion: apps/v1
  kind: Deployment
  metadata:
    annotations:
    labels:
    name:
  spec:
    replicas: 1
    revisionHistoryLimit: 2
    selector:
    template:
      metadata:
      annotations:
      labels:
    spec:
      containers:

[Oleksandr Kyrdan]

Hi @Martin Cassidy ,

The new version with fix released:

script:
  - pipe: atlassian/kubectl-run:3.0.1
    variables:
      KUBE_CONFIG: $KUBE_CONFIG
      KUBECTL_COMMAND: 'apply'
      RESOURCE_PATH: 'nginx.yml'

 It would be great if you provide us with your feedback about the pipe.

Cheers,
Oleksandr Kyrdan

[Oleksandr Kyrdan]

Hi @Martin Cassidy

Thank you for your question!

We'll investigate this issue and notify you.

Cheers,
Oleksandr Kyrdan