💭 Creating k8s jobs with python
===============================

!https://thoughts.waylonwalker.com/post-og/152

Date: October 28, 2023

External Link
 thoughts.waylonwalker.com [1]

I was looking to add running kubernetes jobs to a python cli I am creating, and I found this solution, mostly thanks to `ollama run mistral:7b-instruct-q4_K_M ` and my loose understanding of what the yaml syntax is supposed to look like for a kubernetes job. This will let me create a job in the cluster, choose the image that runs, the command that is called, and how long until the job expires and is cleaned up. While the job still exists I can go in and look at the logs, but once its ttl has expired they are gone.

``` python
from kubernetes import client, config

# Load the default kubeconfig
config.load_kube_config()

# Define the API client for batch jobs
api_instance = client.BatchV1Api()

# Create a new job object
job = client.V1Job(
 api_version="batch/v1",
 kind="Job",
 metadata=client.V1ObjectMeta(name="myjob"),
 spec=client.V1JobSpec(
 ttl_seconds_after_finished=100,
 template=client.V1PodTemplateSpec(
 metadata=client.V1ObjectMeta(labels={"app": "myjob"}),
 spec=client.V1PodSpec(
 containers=[
 client.V1Container(
 name="myjobcontainer",
 image="busybox",
 command=["ls", "/"],
 ),
 ],
 restart_policy="Never",
 ),
 ),
 backoff_limit=1,
 ),
)

# Call the Kubernetes API to create the job
api_instance.create_namespaced_job(namespace="default", body=job)
```

!!! note

 This post is a thought [2]. It's a short note that I make
 about someone else's content online #thoughts [3]

References:
[1]: https://thoughts.waylonwalker.com/post-og/152
[2]: /thoughts/
[3]: /tags/thoughts/