# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.

from __future__ import absolute_import, print_function, unicode_literals

import unittest

from taskgraph.generator import TaskGraphGenerator, Kind
from taskgraph import graph, target_tasks as target_tasks_mod
from mozunit import main


def fake_loader(kind, path, config, parameters, loaded_tasks):
    for i in range(3):
        dependencies = {}
        if i >= 1:
            dependencies['prev'] = '{}-t-{}'.format(kind, i-1)
        yield {'kind': kind,
               'label': '{}-t-{}'.format(kind, i),
               'attributes': {'_tasknum': str(i)},
               'task': {'i': i},
               'dependencies': dependencies}


class FakeKind(Kind):

    def _get_loader(self):
        return fake_loader

    def load_tasks(self, parameters, loaded_tasks):
        FakeKind.loaded_kinds.append(self.name)
        return super(FakeKind, self).load_tasks(parameters, loaded_tasks)


class WithFakeKind(TaskGraphGenerator):

    def _load_kinds(self):
        for kind_name, deps in self.parameters['_kinds']:
            config = {
                'transforms': [],
            }
            if deps:
                config['kind-dependencies'] = deps
            yield FakeKind(kind_name, '/fake', config)


class TestGenerator(unittest.TestCase):

    def maketgg(self, target_tasks=None, kinds=[('_fake', [])]):
        FakeKind.loaded_kinds = []
        self.target_tasks = target_tasks or []

        def target_tasks_method(full_task_graph, parameters):
            return self.target_tasks

        target_tasks_mod._target_task_methods['test_method'] = target_tasks_method

        parameters = {
            '_kinds': kinds,
            'target_tasks_method': 'test_method',
        }

        return WithFakeKind('/root', parameters)

    def test_kind_ordering(self):
        "When task kinds depend on each other, they are loaded in postorder"
        self.tgg = self.maketgg(kinds=[
            ('_fake3', ['_fake2', '_fake1']),
            ('_fake2', ['_fake1']),
            ('_fake1', []),
        ])
        self.tgg._run_until('full_task_set')
        self.assertEqual(FakeKind.loaded_kinds, ['_fake1', '_fake2', '_fake3'])

    def test_full_task_set(self):
        "The full_task_set property has all tasks"
        self.tgg = self.maketgg()
        self.assertEqual(self.tgg.full_task_set.graph,
                         graph.Graph({'_fake-t-0', '_fake-t-1', '_fake-t-2'}, set()))
        self.assertEqual(sorted(self.tgg.full_task_set.tasks.keys()),
                         sorted(['_fake-t-0', '_fake-t-1', '_fake-t-2']))

    def test_full_task_graph(self):
        "The full_task_graph property has all tasks, and links"
        self.tgg = self.maketgg()
        self.assertEqual(self.tgg.full_task_graph.graph,
                         graph.Graph({'_fake-t-0', '_fake-t-1', '_fake-t-2'},
                                     {
                                         ('_fake-t-1', '_fake-t-0', 'prev'),
                                         ('_fake-t-2', '_fake-t-1', 'prev'),
                         }))
        self.assertEqual(sorted(self.tgg.full_task_graph.tasks.keys()),
                         sorted(['_fake-t-0', '_fake-t-1', '_fake-t-2']))

    def test_target_task_set(self):
        "The target_task_set property has the targeted tasks"
        self.tgg = self.maketgg(['_fake-t-1'])
        self.assertEqual(self.tgg.target_task_set.graph,
                         graph.Graph({'_fake-t-1'}, set()))
        self.assertEqual(self.tgg.target_task_set.tasks.keys(),
                         ['_fake-t-1'])

    def test_target_task_graph(self):
        "The target_task_graph property has the targeted tasks and deps"
        self.tgg = self.maketgg(['_fake-t-1'])
        self.assertEqual(self.tgg.target_task_graph.graph,
                         graph.Graph({'_fake-t-0', '_fake-t-1'},
                                     {('_fake-t-1', '_fake-t-0', 'prev')}))
        self.assertEqual(sorted(self.tgg.target_task_graph.tasks.keys()),
                         sorted(['_fake-t-0', '_fake-t-1']))

    def test_optimized_task_graph(self):
        "The optimized task graph contains task ids"
        self.tgg = self.maketgg(['_fake-t-2'])
        tid = self.tgg.label_to_taskid
        self.assertEqual(
            self.tgg.optimized_task_graph.graph,
            graph.Graph({tid['_fake-t-0'], tid['_fake-t-1'], tid['_fake-t-2']}, {
                (tid['_fake-t-1'], tid['_fake-t-0'], 'prev'),
                (tid['_fake-t-2'], tid['_fake-t-1'], 'prev'),
            }))


if __name__ == '__main__':
    main()