Hello World Pipeline
To get started with the tutorials, pip install kfp
v2:
pip install kfp
Here is a simple pipeline that prints a greeting:
from kfp import dsl
@dsl.component
def say_hello(name: str) -> str:
hello_text = f'Hello, {name}!'
print(hello_text)
return hello_text
@dsl.pipeline
def hello_pipeline(recipient: str) -> str:
hello_task = say_hello(name=recipient)
return hello_task.output
You can compile the pipeline to YAML with the KFP SDK DSL Compiler
:
from kfp import compiler
compiler.Compiler().compile(hello_pipeline, 'pipeline.yaml')
The dsl.component
and dsl.pipeline
decorators turn your type-annotated Python functions into components and pipelines, respectively. The KFP SDK compiler compiles the domain-specific language (DSL) objects to a self-contained pipeline YAML file.
You can submit the YAML file to a KFP-conformant backend for execution. If you have already deployed a KFP open source backend instance and obtained the endpoint for your deployment, you can submit the pipeline for execution using the KFP SDK Client
. The following submits the pipeline for execution with the argument recipient='World'
:
from kfp.client import Client
client = Client(host='<MY-KFP-ENDPOINT>')
run = client.create_run_from_pipeline_package(
'pipeline.yaml',
arguments={
'recipient': 'World',
},
)
The client will print a link to view the pipeline execution graph and logs in the UI. In this case, the pipeline has one task that prints and returns 'Hello, World!'
.
In the next few sections, you’ll learn more about the core concepts of authoring pipelines and how to create more expressive, useful pipelines.
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