kubicle 0.1.0

Background jobs on Kubernetes

Kubicle

Python background jobs on Kubernetes

No runtime dependencies, simply run Python functions on Kubernetes and get the results back.

Installation

pip install kubicle

Usage

Define a python function with inputs and an output that use pydantic BaseModel

from pydantic import BaseModel

class Foo(BaseModel):
    a: int
    b: str

class Bar(BaseModel):
    c: float
    d: bool


def call_me_remote(foo: Foo) -> Bar:
    ...

Run as a Kubernetes job

from kubicle import Runner

runner = Runner()

job = runner.run(call_me_remote, Foo(a=1, b="hello"))

Wait for the job to finish

from kubicle import JobStatus

while True:
    job.refresh()
    if job.status == JobStatus.FINISHED:
        break

Get the result

result = job.result
bar = Bar.model_validate_json(result)

Backends

Job storage can be backed by:

• Sqlite
• Postgresql

Sqlite will be used by default. To use postgres simply configure the env vars:

DB_TYPE=postgres
DB_NAME=jobs
DB_HOST=localhost
DB_USER=postgres
DB_PASS=abc123