import pytest

from clusterview.algorithms import Algorithms, CentroidGrouping
from clusterview.colors import Color
from clusterview.points import Point, PointSet


def test_empty_centroids():
    with pytest.raises(ValueError):
        Algorithms.euclidean_grouping([], None)


def test_wrong_point_set():
    centroid_g1 = Point(101, 81, Color.ORANGE, 8, 800, 600)
    centroid_g2 = Point(357, 222, Color.RED, 8, 800, 600)
    centroid_g3 = Point(728, 47, Color.PURPLE, 8, 800, 600)

    centroids = [centroid_g1, centroid_g2, centroid_g3]

    with pytest.raises(ValueError):
        Algorithms.euclidean_grouping(centroids, None)


def test_empty_point_set():
    centroid_g1 = Point(101, 81, Color.ORANGE, 8, 800, 600)
    centroid_g2 = Point(357, 222, Color.RED, 8, 800, 600)
    centroid_g3 = Point(728, 47, Color.PURPLE, 8, 800, 600)

    centroids = [centroid_g1, centroid_g2, centroid_g3]

    with pytest.raises(ValueError):
        Algorithms.euclidean_grouping(centroids, [])


def test_euclidean_grouping():
    centroid_g1 = Point(101, 81, Color.ORANGE, 8, 800, 600)
    centroid_g2 = Point(357, 222, Color.RED, 8, 800, 600)
    centroid_g3 = Point(728, 47, Color.PURPLE, 8, 800, 600)

    centroids = [centroid_g1, centroid_g2, centroid_g3]

    point1_g1 = Point(67, 59, Color.GREY, 8, 800, 600)
    point2_g1 = Point(116, 53, Color.GREY, 8, 800, 600)
    point3_g1 = Point(144, 105, Color.GREY, 8, 800, 600)

    point1_g2 = Point(388, 243, Color.GREY, 8, 800, 600)
    point2_g2 = Point(358, 248, Color.GREY, 8, 800, 600)
    point3_g2 = Point(426, 202, Color.GREY, 8, 800, 600)

    point1_g3 = Point(750, 47, Color.GREY, 8, 800, 600)
    point2_g3 = Point(741, 85, Color.GREY, 8, 800, 600)
    point3_g3 = Point(700, 72, Color.GREY, 8, 800, 600)

    # This PointSet is the PointSet that excludes the centroids.
    point_set = PointSet(8, 800, 600)
    point_set.add_point(67, 59, Color.GREY)
    point_set.add_point(116, 53, Color.GREY)
    point_set.add_point(144, 105, Color.GREY)

    point_set.add_point(388, 243, Color.GREY)
    point_set.add_point(358, 248, Color.GREY)
    point_set.add_point(426, 202, Color.GREY)

    point_set.add_point(750, 47, Color.GREY)
    point_set.add_point(741, 85, Color.GREY)
    point_set.add_point(700, 72, Color.GREY)

    centroid_grouping_1 = CentroidGrouping(centroid_g1,
                                           [point1_g1, point2_g1, point3_g1])

    centroid_grouping_2 = CentroidGrouping(centroid_g2,
                                           [point1_g2, point2_g2, point3_g2])

    centroid_grouping_3 = CentroidGrouping(centroid_g3,
                                           [point1_g3, point2_g3, point3_g3])

    expected = [centroid_grouping_1, centroid_grouping_2, centroid_grouping_3]

    actual = Algorithms.euclidean_grouping(centroids, point_set)

    assert len(actual) == len(expected)

    # Since I don't want to figure out what grouping is where I'll accept
    # the linearity of `in`.
    assert centroid_grouping_1 in actual
    assert centroid_grouping_2 in actual
    assert centroid_grouping_3 in actual