# Copyright 2021 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 with Metrics outputs."""

from kfp import compiler
from kfp import dsl
from kfp.dsl import component
from kfp.dsl import Metrics
from kfp.dsl import Output


@component
def output_metrics(metrics: Output[Metrics]):
    """Dummy component that outputs metrics with a random accuracy."""
    import random
    result = random.randint(0, 100)
    metrics.log_metric('accuracy', result)


@dsl.pipeline(name='pipeline-with-metrics-outputs', pipeline_root='dummy_root')
def my_pipeline():
    output_metrics()

    with dsl.ParallelFor([1, 2]) as item:
        output_metrics()


if __name__ == '__main__':
    compiler.Compiler().compile(
        pipeline_func=my_pipeline,
        package_path=__file__.replace('.py', '.yaml'))
