import json

import pytest

_TILING_TIMEOUT = 120
_GSD = {"altitude": 400, "focal_length": 24, "sensor_width": 23.5}
_DUP_THRESHOLD = 0.01


def _assert_coords_normalized(detections):
    for d in detections:
        for k in ("centerX", "centerY", "width", "height"):
            v = d[k]
            assert 0.0 <= v <= 1.0


def _assert_no_same_label_near_duplicate_centers(detections):
    by_label = {}
    for d in detections:
        label = d["label"]
        cx, cy = d["centerX"], d["centerY"]
        prev = by_label.setdefault(label, [])
        for pcx, pcy in prev:
            assert not (
                abs(cx - pcx) < _DUP_THRESHOLD and abs(cy - pcy) < _DUP_THRESHOLD
            ), f"near-duplicate centers for label {label!r}: ({pcx},{pcy}) vs ({cx},{cy})"
        prev.append((cx, cy))


@pytest.mark.slow
def test_ft_p_04_gsd_based_tiling_ac1(http_client, image_large, warm_engine):
    config = json.dumps(_GSD)
    r = http_client.post(
        "/detect",
        files={"file": ("img.jpg", image_large, "image/jpeg")},
        data={"config": config},
        timeout=_TILING_TIMEOUT,
    )
    assert r.status_code == 200
    body = r.json()
    assert isinstance(body, list)
    _assert_coords_normalized(body)


@pytest.mark.slow
def test_ft_p_16_tile_boundary_deduplication_ac2(http_client, image_large, warm_engine):
    config = json.dumps({**_GSD, "big_image_tile_overlap_percent": 20})
    r = http_client.post(
        "/detect",
        files={"file": ("img.jpg", image_large, "image/jpeg")},
        data={"config": config},
        timeout=_TILING_TIMEOUT,
    )
    assert r.status_code == 200
    body = r.json()
    assert isinstance(body, list)
    _assert_no_same_label_near_duplicate_centers(body)