import glob
from pathlib import Path

import pytest

from docling.backend.docling_parse_backend import (
    DoclingParseDocumentBackend,
    DoclingParsePageBackend,
)
from docling.datamodel.base_models import BoundingBox
from docling.document_converter import DocumentConverter


@pytest.fixture
def test_doc_path():
    return Path("./tests/data/2206.01062.pdf")


def test_get_text_from_rect(test_doc_path):
    doc_backend = DoclingParseDocumentBackend(test_doc_path, "123456xyz")
    page_backend: DoclingParsePageBackend = doc_backend.load_page(0)

    # Get the title text of the DocLayNet paper
    textpiece = page_backend.get_text_in_rect(
        bbox=BoundingBox(l=102, t=77, r=511, b=124)
    )
    ref = "DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis"

    assert textpiece.strip() == ref


def test_crop_page_image(test_doc_path):
    doc_backend = DoclingParseDocumentBackend(test_doc_path, "123456xyz")
    page_backend: DoclingParsePageBackend = doc_backend.load_page(0)

    # Crop out "Figure 1" from the DocLayNet paper
    im = page_backend.get_page_image(
        scale=2, cropbox=BoundingBox(l=317, t=246, r=574, b=527)
    )
    # im.show()


def test_num_pages(test_doc_path):
    doc_backend = DoclingParseDocumentBackend(test_doc_path, "123456xyz")
    doc_backend.page_count() == 9