This repo contains the libraries for writing a custom job operators such as tf-operator and pytorch-operator. To write a custom operator, user need to do following steps

• Generate operator skeleton using kube-builder or operator-sdk

• Define job crd and reuse common API. Check test_job for full example.

import (
    commonv1 "github.com/kubeflow/common/pkg/apis/common/v1"
)

// reuse commonv1 api in your type.go
RunPolicy *commonv1.RunPolicy                              `json:"runPolicy,omitempty"`
TestReplicaSpecs map[TestReplicaType]*commonv1.ReplicaSpec `json:"testReplicaSpecs"`

• Write a custom controller that implements controller interface, such as the TestJobController and instantiate a testJobController object

 testJobController := TestJobController {
    ...
 }

• Instantiate a JobController struct object and pass in the custom controller written in step 1 as a parameter

import "github.com/kubeflow/common/pkg/controller.v1/common"

jobController := common.JobController {
    Controller: testJobController,
    Config:     v1.JobControllerConfiguration{EnableGangScheduling: false},
    Recorder:   recorder,
}

• Within you main reconcile loop, call the JobController.ReconcileJobs method.

    reconcile(...) {
    	// Your main reconcile loop.
    	...
    	jobController.ReconcileJobs(...)
    	...
    }

Note that this repo is still under construction, API compatibility is not guaranteed at this point.

Please refer to the API documentation.

The API files are located under pkg/apis/common/v1:

• constants.go: the constants such as label keys.
• interface.go: the interfaces to be implemented by custom controllers.
• controller.go: the main JobController that contains the ReconcileJobs API method to be invoked by user. This is the entrypoint of the JobController logic. The rest of the code under job_controller/ folder contains the core logic for the JobController to work, such as creating and managing worker pods, services, etc.