# 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
from kfp import dsl
from kfp_tekton.compiler import TektonCompiler


class Coder:
    def empty(self):
        return ""


TektonCompiler._get_unique_id_code = Coder.empty

produce_op = kfp.components.load_component_from_text('''\
name: Produce list
outputs:
- {name: data_list, type: List}
implementation:
  container:
    image: busybox
    command:
    - sh
    - -c
    - |
      echo "[1, 2, 3]" > "$0"
    - {outputPath: data_list}
''')

consume_op = kfp.components.load_component_from_text('''\
name: Consume data
inputs:
- {name: data, type: Integer}
implementation:
  container:
    image: busybox
    command:
    - echo
    - {inputValue: data}
''')


@dsl.pipeline(
    name='loop-over-lightweight-output',
    description='Test pipeline to verify functions of par loop.'
)
def pipeline():
    source_task = produce_op()
    with dsl.ParallelFor(source_task.outputs['data_list']) as item:
        consume_op(item)


if __name__ == '__main__':
    from kfp_tekton.compiler import TektonCompiler
    TektonCompiler().compile(pipeline, __file__.replace('.py', '.yaml'))