Kubernetes平台特定功能

The kfp-kubernetes Python库允许使用Kubernetes特定功能编写Kubeflow流水线。这些功能由默认KFP开源BE支持。具体来说，kfp-kubernetes库支持编写使用

• 机密信息
• 持久卷声明
• ImagePullPolicy

请参阅kfp-kubernetes参考文档。

安装

可以使用kfp SDK额外依赖项将kfp-kubernetes包安装为kfp==2.x.x

pip install kfp[kubernetes] --pre

或独立安装

pip install kfp-kubernetes

示例用法

机密信息：作为环境变量

from kfp import dsl
from kfp import kubernetes

@dsl.component
def print_secret():
    import os
    print(os.environ['SECRET_VAR'])

@dsl.pipeline
def pipeline():
    task = print_secret()
    kubernetes.use_secret_as_env(task,
                                 secret_name='my-secret',
                                 secret_key_to_env={'password': 'SECRET_VAR'})

机密信息：作为挂载卷

from kfp import dsl
from kfp import kubernetes

@dsl.component
def print_secret():
    with open('/mnt/my_vol') as f:
        print(f.read())

@dsl.pipeline
def pipeline():
    task = print_secret()
    kubernetes.use_secret_as_volume(task,
                                    secret_name='my-secret',
                                    mount_path='/mnt/my_vol')

机密信息：作为挂载卷的可选源

from kfp import dsl
from kfp import kubernetes

@dsl.component
def print_secret():
    with open('/mnt/my_vol') as f:
        print(f.read())

@dsl.pipeline
def pipeline():
    task = print_secret()
    kubernetes.use_secret_as_volume(task,
                                    secret_name='my-secret',
                                    mount_path='/mnt/my_vol'
                                    optional=True)

ConfigMap：作为环境变量

from kfp import dsl
from kfp import kubernetes

@dsl.component
def print_config_map():
    import os
    print(os.environ['CM_VAR'])

@dsl.pipeline
def pipeline():
    task = print_config_map()
    kubernetes.use_config_map_as_env(task,
                                 config_map_name='my-cm',
                                 config_map_key_to_env={'foo': 'CM_VAR'})

ConfigMap：作为挂载卷

from kfp import dsl
from kfp import kubernetes

@dsl.component
def print_config_map():
    with open('/mnt/my_vol') as f:
        print(f.read())

@dsl.pipeline
def pipeline():
    task = print_config_map()
    kubernetes.use_config_map_as_volume(task,
                                       config_map_name='my-cm',
                                       mount_path='/mnt/my_vol')

ConfigMap：作为挂载卷的可选源

from kfp import dsl
from kfp import kubernetes

@dsl.component
def print_config_map():
    with open('/mnt/my_vol') as f:
        print(f.read())

@dsl.pipeline
def pipeline():
    task = print_config_map()
    kubernetes.use_config_map_as_volume(task,
                                       config_map_name='my-cm',
                                       mount_path='/mnt/my_vol',
				       optional=True)

持久卷声明：动态创建PVC，挂载然后删除

from kfp import dsl
from kfp import kubernetes

@dsl.component
def make_data():
    with open('/data/file.txt', 'w') as f:
        f.write('my data')

@dsl.component
def read_data():
    with open('/reused_data/file.txt') as f:
        print(f.read())

@dsl.pipeline
def my_pipeline():
    pvc1 = kubernetes.CreatePVC(
        # can also use pvc_name instead of pvc_name_suffix to use a pre-existing PVC
        pvc_name_suffix='-my-pvc',
        access_modes=['ReadWriteOnce'],
        size='5Gi',
        storage_class_name='standard',
    )

    task1 = make_data()
    # normally task sequencing is handled by data exchange via component inputs/outputs
    # but since data is exchanged via volume, we need to call .after explicitly to sequence tasks
    task2 = read_data().after(task1)

    kubernetes.mount_pvc(
        task1,
        pvc_name=pvc1.outputs['name'],
        mount_path='/data',
    )
    kubernetes.mount_pvc(
        task2,
        pvc_name=pvc1.outputs['name'],
        mount_path='/reused_data',
    )

    # wait to delete the PVC until after task2 completes
    delete_pvc1 = kubernetes.DeletePVC(
        pvc_name=pvc1.outputs['name']).after(task2)

持久卷声明：创建PVC并与您的Pod的生命周期绑定

from kfp import dsl
from kfp import kubernetes

@dsl.component
def make_data():
    with open('/data/file.txt', 'w') as f:
        f.write('my data')

@dsl.pipeline
def my_pipeline():
    task1 = make_data()
    # note that the created pvc will be autoamatically cleaned up once pod disappeared and cannot be shared between pods
    kubernetes.add_ephemeral_volume(
        task1,
        volume_name="my-pvc",
        mount_path="/data",
        access_modes=['ReadWriteOnce'],
        size='5Gi',
    )

Pod元数据：向容器Pod的定义添加Pod标签和注解

from kfp import dsl
from kfp import kubernetes


@dsl.component
def comp():
    pass


@dsl.pipeline
def my_pipeline():
    task = comp()
    kubernetes.add_pod_label(
        task,
        label_key='kubeflow.com/kfp',
        label_value='pipeline-node',
    )
    kubernetes.add_pod_annotation(
        task,
        annotation_key='run_id',
        annotation_value='123456',
    )

Kubernetes字段：使用Kubernetes字段路径作为环境变量

from kfp import dsl
from kfp import kubernetes


@dsl.component
def comp():
    pass


@dsl.pipeline
def my_pipeline():
    task = comp()
    kubernetes.use_field_path_as_env(
        task,
        env_name='KFP_RUN_NAME',
        field_path="metadata.annotations['pipelines.kubeflow.org/run_name']"
    )

超时：以秒为单位设置由Pod规范中的activeDeadlineSeconds定义的超时时间

from kfp import dsl
from kfp import kubernetes

@dsl.component
def comp():
    pass

@dsl.pipeline
def my_pipeline():
    task = comp()
    kubernetes.set_timeout(task, 20)

ImagePullPolicy：其中之一“始终”、“从不”、“如果不存在”。

from kfp import dsl
from kfp import kubernetes

@dsl.component
def simple_task():
    print("hello-world")

@dsl.pipeline
def pipeline():
    task = simple_task()
    kubernetes.set_image_pull_policy(task, "Always")