Polyaxon provides a rich Python library that can be used with scheduling tools such as Airflow to submit jobs to Polyaxon.

Creating a custom operator

In order to use Polyaxon with airflow you just need to create a custom Airflow operator.

Here's a simple operator that will submit a job and can wait for the job to finish based on a flag.

import os

from airflow.models import BaseOperator
from polyaxon.client import RunClient


class PolyaxonOperator(BaseOperator):
    ui_color = "#2ea44f"
    ui_fgcolor = "#fff"

    def __init__(
        self,
        project_name=None,
        polyaxonfile=None,
        watch=False,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.polyaxonfile = polyaxonfile
        self.watch = watch
        self.project_name = project_name or os.environ.get("POLYAXON_PROJECT_NAME")

    def execute(self, context):
        client = RunClient(project=self.project_name)
        client.create_from_polyaxonfile(polyaxonfile=self.polyaxonfile)
        client.wait_for_condition()
        self.log.info(f"Last status: {client.run_data.status}")

Tip: Polyaxon provides a native DAG runtime for managing your operations and their dependencies in a simple and efficient way.