kfp-tekton/sdk/python/tests/compiler/testdata/many_results.py

65 lines
1.9 KiB
Python
Executable File

# Copyright 2021 kubeflow.org
#
# 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.
import kfp.dsl as dsl
import kfp.components as comp
from kfp.components import load_component_from_text
from typing import NamedTuple
import json
def print4results() -> NamedTuple('taskOutput', [('param1', str), ('param2A', str), ('param3_b', str), ('param4c', str)]):
"""Print 4 long results"""
a = 'a' * 1500
b = 'b' * 700
c = 'c' * 500
d = 'd' * 900
from collections import namedtuple
task_output = namedtuple('taskOutput', ['param1', 'param2A', 'param3_b', 'param4c'])
return task_output(a, b, c, d)
print_op = comp.func_to_container_op(print4results)
echo_op = load_component_from_text("""
name: print
inputs:
- {name: msg, type: String}
implementation:
container:
image: alpine:3.6
command:
- sh
- -c
- |
echo $0
- { inputValue: msg }
""")
@dsl.pipeline(
name='many-results-pipeline',
description='A pipeline that produce many results.'
)
def many_results_pipeline(
):
output_estimation_json = {'param1': 1500, 'param2A': 700, 'param3_b': 500, 'param4c': 900}
print_task = print_op().add_pod_annotation('tekton-result-sizes', json.dumps(output_estimation_json))
echo_task = echo_op(print_task.outputs['param3_b'])
if __name__ == '__main__':
from kfp_tekton.compiler import TektonCompiler
TektonCompiler().compile(many_results_pipeline, __file__.replace('.py', '.yaml'))