Kubernetes worker hangs at the end of flow run execution

Note

Active development of this project has moved within PrefectHQ/prefect. The code can be found here and documentation here. Please open issues and PRs against PrefectHQ/prefect instead of this repository.

prefect-kubernetes

Welcome!

prefect-kubernetes is a collection of Prefect tasks, flows, and blocks enabling orchestration, observation and management of Kubernetes resources.

Jump to examples.

Resources

For more tips on how to use tasks and flows in a Collection, check out Using Collections!

Installation

Install prefect-kubernetes with pip:

 pip install prefect-kubernetes

Requires an installation of Python 3.8+.

We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.

These tasks are designed to work with Prefect 2. For more information about how to use Prefect, please refer to the Prefect documentation.

Then, to register blocks on Prefect Cloud:

prefect block register -m prefect_kubernetes

Note, to use the load method on Blocks, you must already have a block document saved through code or saved through the UI.

Example Usage

Use `with_options` to customize options on any existing task or flow

from prefect_kubernetes.flows import run_namespaced_job

customized_run_namespaced_job = run_namespaced_job.with_options(
    name="My flow running a Kubernetes Job",
    retries=2,
    retry_delay_seconds=10,
) # this is now a new flow object that can be called

For more tips on how to use tasks and flows in a Collection, check out Using Collections!

Specify and run a Kubernetes Job from a yaml file

from prefect_kubernetes.credentials import KubernetesCredentials
from prefect_kubernetes.flows import run_namespaced_job # this is a flow
from prefect_kubernetes.jobs import KubernetesJob

k8s_creds = KubernetesCredentials.load("k8s-creds")

job = KubernetesJob.from_yaml_file( # or create in the UI with a dict manifest
    credentials=k8s_creds,
    manifest_path="path/to/job.yaml",
)

job.save("my-k8s-job", overwrite=True)

if __name__ == "__main__":
    # run the flow
    run_namespaced_job(job)

Generate a resource-specific client from `KubernetesClusterConfig`

# with minikube / docker desktop & a valid ~/.kube/config this should ~just work~
from prefect.blocks.kubernetes import KubernetesClusterConfig
from prefect_kubernetes.credentials import KubernetesCredentials

k8s_config = KubernetesClusterConfig.from_file('~/.kube/config')

k8s_credentials = KubernetesCredentials(cluster_config=k8s_config)

with k8s_credentials.get_client("core") as v1_core_client:
    for namespace in v1_core_client.list_namespace().items:
        print(namespace.metadata.name)

List jobs in a specific namespace

from prefect import flow
from prefect_kubernetes.credentials import KubernetesCredentials
from prefect_kubernetes.jobs import list_namespaced_job

@flow
def kubernetes_orchestrator():
    v1_job_list = list_namespaced_job(
        kubernetes_credentials=KubernetesCredentials.load("k8s-creds"),
        namespace="my-namespace",
    )

Patch an existing deployment

from kubernetes.client.models import V1Deployment

from prefect import flow
from prefect_kubernetes.credentials import KubernetesCredentials
from prefect_kubernetes.deployments import patch_namespaced_deployment
from prefect_kubernetes.utilities import convert_manifest_to_model

@flow
def kubernetes_orchestrator():

    v1_deployment_updates = convert_manifest_to_model(
        manifest="path/to/manifest.yaml",
        v1_model_name="V1Deployment",
    )

    v1_deployment = patch_namespaced_deployment(
        kubernetes_credentials=KubernetesCredentials.load("k8s-creds"),
        deployment_name="my-deployment",
        deployment_updates=v1_deployment_updates,
        namespace="my-namespace"
    )

Feedback

If you encounter any bugs while using prefect-kubernetes, feel free to open an issue in the prefect-kubernetes repository.

If you have any questions or issues while using prefect-kubernetes, you can find help in either the Prefect Discourse forum or the Prefect Slack community.

Feel free to star or watch prefect-kubernetes for updates too!

Contributing

If you'd like to help contribute to fix an issue or add a feature to prefect-kubernetes, please propose changes through a pull request from a fork of the repository.

Here are the steps:

Fork the repository
Clone the forked repository
Install the repository and its dependencies:

 pip install -e ".[dev]"

Make desired changes
Add tests
Insert an entry to CHANGELOG.md
Install pre-commit to perform quality checks prior to commit:

 pre-commit install

git commit, git push, and create a pull request

	if exc.body and "message" in exc.body:
	message += ": " + exc.body["message"]

prefecthq / prefect-kubernetes Goto Github PK

prefect-kubernetes's Introduction

prefect-kubernetes

Welcome!

Resources

Installation

Example Usage

Use with_options to customize options on any existing task or flow

Specify and run a Kubernetes Job from a yaml file

Generate a resource-specific client from KubernetesClusterConfig

List jobs in a specific namespace

Patch an existing deployment

Feedback

Contributing

prefect-kubernetes's People

Contributors

Stargazers

Watchers

Forkers

prefect-kubernetes's Issues

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running the command inside the worker pod

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Use `with_options` to customize options on any existing task or flow

Generate a resource-specific client from `KubernetesClusterConfig`