#
# Copyright 2018-2022 Elyra 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 os

import nbformat
import pytest

from elyra.pipeline.local.processor_local import LocalPipelineProcessor
from elyra.pipeline.parser import PipelineParser
from elyra.pipeline.pipeline import GenericOperation
from elyra.tests.pipeline.util import _read_pipeline_resource
from elyra.tests.pipeline.util import construct_pipeline
from elyra.tests.pipeline.util import NotebookNode
from elyra.tests.pipeline.util import PythonNode


@pytest.fixture
def pipeline_dir(tmp_path):
    pipeline_path = os.path.join(tmp_path, "pipeline")
    os.makedirs(pipeline_path)
    return pipeline_path


def test_pipeline_execution_order_in_complex_pipeline():
    expected_operation_names = ["a", "b", "c", "d", "e", "f", "x", "y", "g", "h"]
    pipeline_json = _read_pipeline_resource("resources/sample_pipelines/pipeline_dependency_complex.json")

    pipeline = PipelineParser().parse(pipeline_json)
    current_ordered_operation_names = _get_operation_names(pipeline.operations.values())
    assert current_ordered_operation_names != expected_operation_names

    operations = LocalPipelineProcessor._sort_operations(operations_by_id=pipeline.operations)

    ordered_operation_names = _get_operation_names(operations)

    assert ordered_operation_names == expected_operation_names


def test_pipeline_execution_order_in_simple_pipeline():
    expected_operation_names = ["f", "a", "c", "g"]
    pipeline_json = _read_pipeline_resource("resources/sample_pipelines/pipeline_dependency_simple.json")

    pipeline = PipelineParser().parse(pipeline_json)
    current_ordered_operation_names = _get_operation_names(pipeline.operations.values())
    assert current_ordered_operation_names != expected_operation_names

    operations = LocalPipelineProcessor._sort_operations(operations_by_id=pipeline.operations)

    ordered_operation_names = _get_operation_names(operations)

    assert ordered_operation_names == expected_operation_names


def test_pipeline_get_envs():

    # Ensure pipeline operation env lists are properly converted to dictionaries.

    pipeline_json = _read_pipeline_resource("resources/sample_pipelines/pipeline_dependency_complex.json")

    pipeline = PipelineParser().parse(pipeline_json)

    for op in pipeline.operations.values():
        assert isinstance(op, GenericOperation)
        op_envs = op.env_vars.to_dict()
        assert op_envs["OP_NAME"] == op.name


def test_pipeline_execution(pipeline_dir):
    # Construct 4-node pipeline consisting of 3 notebooks and 1 python script.
    # This pipeline is "diamond shaped" with node1 feeding nodes 2 and 3, each then
    # feeding node4.
    node1 = NotebookNode("node1", num_outputs=2)
    node2 = PythonNode("node2", num_outputs=2, input_nodes=[node1])
    node3 = NotebookNode("node3", num_outputs=2, input_nodes=[node1])
    node4 = NotebookNode("node4", num_outputs=2, input_nodes=[node2, node3])
    nodes = [node1, node2, node3, node4]

    pipeline = construct_pipeline("p1", nodes=nodes, location=pipeline_dir)

    LocalPipelineProcessor(pipeline_dir).process(pipeline)

    # Confirm outputs
    for node in nodes:
        for output in node.outputs:
            assert os.path.exists(os.path.join(pipeline_dir, output))


def test_pipeline_execution_missing_kernelspec(pipeline_dir):
    # Construct 4-node pipeline consisting of 3 notebooks and 1 python script.
    # This pipeline is "diamond shaped" with node1 feeding nodes 2 and 3, each then
    # feeding node4.
    node1 = NotebookNode("node1", num_outputs=2)
    node2 = PythonNode("node2", num_outputs=2, input_nodes=[node1])
    node3 = NotebookNode("node3", num_outputs=2, input_nodes=[node1])
    node4 = NotebookNode("node4", num_outputs=2, input_nodes=[node2, node3])
    nodes = [node1, node2, node3, node4]

    pipeline = construct_pipeline("p1", nodes=nodes, location=pipeline_dir)

    node1nb_file = os.path.join(pipeline_dir, pipeline.operations[node1.id].filename)
    nb = nbformat.read(node1nb_file, 4)
    nb["metadata"].pop("kernelspec")
    nbformat.write(nb, node1nb_file)

    with pytest.raises(RuntimeError) as e:
        LocalPipelineProcessor(pipeline_dir).process(pipeline)
    assert (
        "Error processing operation node1 (node1.ipynb): No kernel "
        "name found in notebook and no override provided." in str(e.value)
    )


def test_pipeline_execution_bad_notebook(pipeline_dir):
    # Construct 4-node pipeline where node 3 (nodebook) produces a failure
    node1 = NotebookNode("node1", num_outputs=2)
    node2 = PythonNode("node2", num_outputs=2, input_nodes=[node1])
    node3 = NotebookNode("node3", num_outputs=2, input_nodes=[node1], fail=True)
    node4 = NotebookNode("node4", num_outputs=2, input_nodes=[node2, node3])
    nodes = [node1, node2, node3, node4]
    processed_nodes = [node1, node2]
    unprocessed_nodes = [node3, node4]

    pipeline = construct_pipeline("p1", nodes=nodes, location=pipeline_dir)

    with pytest.raises(RuntimeError) as e:
        LocalPipelineProcessor(pipeline_dir).process(pipeline)
    assert "Error processing operation node3" in str(e.value)

    # Confirm outputs (and non-outputs)
    for node in processed_nodes:
        for output in node.outputs:
            assert os.path.exists(os.path.join(pipeline_dir, output))

    for node in unprocessed_nodes:
        for output in node.outputs:
            assert not os.path.exists(os.path.join(pipeline_dir, output))


def test_pipeline_execution_bad_python(pipeline_dir):
    # Construct 4-node pipeline where node 2 (python) produces a failure
    node1 = NotebookNode("node1", num_outputs=2)
    node2 = PythonNode("node2", num_outputs=2, input_nodes=[node1], fail=True)
    node3 = NotebookNode("node3", num_outputs=2, input_nodes=[node1])
    node4 = NotebookNode("node4", num_outputs=2, input_nodes=[node2, node3])
    nodes = [node1, node2, node3, node4]
    processed_nodes = [node1]
    unprocessed_nodes = [node2, node3, node4]

    pipeline = construct_pipeline("p1", nodes=nodes, location=pipeline_dir)

    with pytest.raises(RuntimeError) as e:
        LocalPipelineProcessor(pipeline_dir).process(pipeline)
    assert "Error processing operation node2" in str(e.value)

    # Confirm outputs (and non-outputs)
    for node in processed_nodes:
        for output in node.outputs:
            assert os.path.exists(os.path.join(pipeline_dir, output))

    for node in unprocessed_nodes:
        for output in node.outputs:
            assert not os.path.exists(os.path.join(pipeline_dir, output))


def _get_operation_names(operations):
    operation_names = []
    for operation in operations:
        operation_names.append(operation.name)

    return operation_names