from pathlib import Path

import numpy as np
import pytest

import dopt_sensor_anomalies.detection as detect
import dopt_sensor_anomalies.types as t


@pytest.fixture(scope="module")
def img_paths() -> tuple[Path, ...]:
    img_folder = Path(__file__).parent / "_img"
    if not img_folder.exists():
        raise FileNotFoundError("img path not existing")
    return tuple(img_folder.glob("*.bmp"))


def test_midpoint():
    ptA = np.array([1.0, 2.0])
    ptB = np.array([3.0, 4.0])
    mid_x, mid_y = detect.midpoint(ptA, ptB)
    assert mid_x == 2.0
    assert mid_y == 3.0


@pytest.mark.new
def test_check_box_redundancy_SameBox():
    box_1: t.Box = (
        (64.70450592041016, 505.09185791015625),
        (32.305301666259766, 162.31748962402344),
        2.385944128036499,
    )
    box_2: t.Box = (
        (64.5450592041016, 504.59185791015625),
        (32.305301666259766, 163.01748962402344),
        2.415944128036499,
    )
    assert detect.check_box_redundancy(box_1, box_2)


@pytest.mark.new
def test_check_box_redundancy_DifferentBox():
    box_1: t.Box = (
        (64.70450592041016, 505.09185791015625),
        (32.305301666259766, 162.31748962402344),
        2.385944128036499,
    )
    box_2: t.Box = (
        (84.5450592041016, 104.59185791015625),
        (31.305301666259766, 150.01748962402344),
        2.35944128036499,
    )
    assert not detect.check_box_redundancy(box_1, box_2)