import io

import imagehash
from PIL import Image

from backend.app.utils.phash import compute_phash, find_similar


def _img(color, size=(64, 64)):
    return Image.new("RGB", size, color)


def test_compute_phash_stable_and_hex():
    h1 = compute_phash(_img((10, 120, 200)))
    h2 = compute_phash(_img((10, 120, 200)))
    assert isinstance(h1, str) and len(h1) == 16  # hash_size=8 -> 64-bit -> 16 hex
    assert h1 == h2


def test_compute_phash_none_for_non_image():
    assert compute_phash(io.BytesIO(b"not an image")) is None


def test_find_similar_none_when_far():
    new = compute_phash(_img((0, 0, 0)))
    cand = (compute_phash(_img((255, 255, 255))), 100, 100, 7)
    rel, mid = find_similar(new, 50, 50, [cand], threshold=2)
    assert rel == "none" and mid is None


def test_find_similar_larger_exists_skips_new():
    h = compute_phash(_img((123, 50, 7)))
    rel, mid = find_similar(h, 100, 100, [(h, 400, 400, 9)], threshold=2)
    assert rel == "larger_exists" and mid == 9


def test_find_similar_smaller_exists_supersede():
    h = compute_phash(_img((123, 50, 7)))
    rel, mid = find_similar(h, 800, 800, [(h, 100, 100, 4)], threshold=2)
    assert rel == "smaller_exists" and mid == 4


def test_find_similar_threshold_boundary_inclusive_and_first_match():
    h = compute_phash(_img((10, 10, 10)))
    far = compute_phash(_img((240, 240, 240)))
    d = imagehash.hex_to_hash(h) - imagehash.hex_to_hash(far)
    # at exactly the distance, it counts as similar (<=)
    rel, _ = find_similar(h, 10, 10, [(far, 999, 999, 1)], threshold=d)
    assert rel == "larger_exists"
    rel2, _ = find_similar(h, 10, 10, [(far, 999, 999, 1)], threshold=d - 1)
    assert rel2 == "none"