# Copyright 2018 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.

import kfp.dsl as dsl
from kfp.dsl import _for_loop


@dsl.pipeline(name='my-pipeline')
def pipeline(my_pipe_param: int = 10):
    loop_args = [{'a': 1, 'b': 2}, {'a': 10, 'b': 20}]
    with dsl.ParallelFor(loop_args) as item:
        op1 = dsl.ContainerOp(
            name="my-in-coop1",
            image="library/bash:4.4.23",
            command=["sh", "-c"],
            arguments=["echo op1 %s %s" % (item.a, my_pipe_param)],
        )

        with dsl.ParallelFor([100, 200, 300]) as inner_item:
            op11 = dsl.ContainerOp(
                name="my-inner-inner-coop",
                image="library/bash:4.4.23",
                command=["sh", "-c"],
                arguments=[
                    "echo op1 %s %s %s" % (item.a, inner_item, my_pipe_param)
                ],
            )

        op2 = dsl.ContainerOp(
            name="my-in-coop2",
            image="library/bash:4.4.23",
            command=["sh", "-c"],
            arguments=["echo op2 %s" % item.b],
        )

    op_out = dsl.ContainerOp(
        name="my-out-cop",
        image="library/bash:4.4.23",
        command=["sh", "-c"],
        arguments=["echo %s" % my_pipe_param],
    )


if __name__ == '__main__':
    from kfp import compiler
    import kfp
    import time
    client = kfp.Client(host='127.0.0.1:8080/pipeline')
    print(compiler.Compiler().compile(pipeline, package_path=None))

    pkg_path = '/tmp/witest_pkg.tar.gz'
    compiler.Compiler().compile(pipeline, package_path=pkg_path)
    exp = client.create_experiment('withparams_exp')
    client.run_pipeline(
        experiment_id=exp.id,
        job_name='withitem_nested_{}'.format(time.time()),
        pipeline_package_path=pkg_path,
        params={},
    )