from __future__ import annotations

from PIL import Image, ImageDraw

from api.services.docling.regions import detect_response_regions_from_image


def test_detects_grouped_answer_lines() -> None:
    image = Image.new("RGB", (900, 1200), "white")
    draw = ImageDraw.Draw(image)
    for y in (420, 470, 520):
        draw.line((160, y, 760, y), fill="black", width=3)

    candidates = detect_response_regions_from_image(image, page_index=2)

    line_regions = [c.to_mapper_dict() for c in candidates if c.region_type == "answer_lines"]
    assert line_regions
    best = line_regions[0]
    assert best["kind"] == "response"
    assert best["source"] == "ai"
    assert best["confirmed"] is False
    assert best["page_index"] == 2
    assert best["line_count"] == 3
    assert best["bbox"]["coord_origin"] == "TOPLEFT"
    assert best["bbox"]["w"] > 550
    assert best["bbox"]["h"] > 80


def test_detects_answer_box() -> None:
    image = Image.new("RGB", (900, 1200), "white")
    draw = ImageDraw.Draw(image)
    draw.rectangle((140, 300, 780, 520), outline="black", width=3)

    candidates = detect_response_regions_from_image(image, page_index=0)

    boxes = [c.to_mapper_dict() for c in candidates if c.region_type == "answer_box"]
    assert boxes
    assert boxes[0]["bbox"]["w"] > 600
    assert boxes[0]["bbox"]["h"] > 200