pipelines/sdk/python/kfp/components/graph_component.py

82 lines
2.8 KiB
Python

# Copyright 2022 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Pipeline as a component (aka graph component)."""
import inspect
from typing import Callable
import uuid
from kfp.compiler import pipeline_spec_builder as builder
from kfp.components import base_component
from kfp.components import pipeline_channel
from kfp.components import pipeline_context
from kfp.components import structures
class GraphComponent(base_component.BaseComponent):
"""A component defined via @dsl.pipeline decorator.
Attribute:
pipeline_func: The function that becomes the implementation of this component.
"""
def __init__(
self,
component_spec: structures.ComponentSpec,
pipeline_func: Callable,
name: str,
):
super().__init__(component_spec=component_spec)
self.pipeline_func = pipeline_func
self.name = name
args_list = []
signature = inspect.signature(pipeline_func)
for arg_name in signature.parameters:
arg_type = component_spec.inputs[arg_name].type
args_list.append(
pipeline_channel.create_pipeline_channel(
name=arg_name,
channel_type=arg_type,
))
with pipeline_context.Pipeline(
self.component_spec.name) as dsl_pipeline:
pipeline_outputs = pipeline_func(*args_list)
if not dsl_pipeline.tasks:
raise ValueError('Task is missing from pipeline.')
# Making the pipeline group name unique to prevent name clashes with
# templates
pipeline_group = dsl_pipeline.groups[0]
pipeline_group.name = uuid.uuid4().hex
self.pipeline_spec, self.deployment_config = (
builder.create_pipeline_spec_and_deployment_config(
pipeline=dsl_pipeline,
component_spec=self.component_spec,
pipeline_outputs=pipeline_outputs,
))
pipeline_root = getattr(pipeline_func, 'pipeline_root', None)
if pipeline_root is not None:
self.pipeline_spec.default_pipeline_root = pipeline_root
self.component_spec.implementation.graph = self.pipeline_spec
def execute(self, **kwargs):
raise RuntimeError('Graph component has no local execution mode.')