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")
    img_paths = tuple(img_folder.glob("*.bmp"))
    if not img_paths:
        raise ValueError("No images found")
    return img_paths


@pytest.fixture(scope="module")
def single_img_path() -> Path:
    img_folder = Path(__file__).parent / "_img"
    if not img_folder.exists():
        raise FileNotFoundError("Img path not existing")
    img_paths = tuple(img_folder.glob("*_12.bmp"))
    if not img_paths:
        raise ValueError("No images found")
    return img_paths[0]


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


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)


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)


def test_measure_length(single_img_path):
    pixels_per_metric_X: float = 0.251
    pixels_per_metric_Y: float = 0.251
    data, imgs = detect.measure_length(
        single_img_path,
        pixels_per_metric_X,
        pixels_per_metric_Y,
    )
    assert len(data) == 18
    assert isinstance(data[0], str)
    assert float(data[0].replace(",", ".")) == pytest.approx(1266.932)
    img_left = imgs["left"]
    assert 235 < img_left.shape[0] < 260
    assert 910 < img_left.shape[1] < 960
    assert img_left.shape[2] == 3
    img_right = imgs["right"]
    assert 235 < img_right.shape[0] < 260
    assert 910 < img_right.shape[1] < 960
    assert img_right.shape[2] == 3