diff --git a/docling/backend/docling_parse_v2_backend.py b/docling/backend/docling_parse_v2_backend.py new file mode 100644 index 00000000..a4e23c4f --- /dev/null +++ b/docling/backend/docling_parse_v2_backend.py @@ -0,0 +1,236 @@ +import logging +import random +from io import BytesIO +from pathlib import Path +from typing import Iterable, List, Optional, Union + +import pypdfium2 as pdfium +from docling_parse.docling_parse import pdf_parser_v2 +from PIL import Image, ImageDraw +from pypdfium2 import PdfPage + +from docling.backend.abstract_backend import PdfDocumentBackend, PdfPageBackend +from docling.datamodel.base_models import BoundingBox, Cell, CoordOrigin, PageSize + +_log = logging.getLogger(__name__) + + +class DoclingParseV2PageBackend(PdfPageBackend): + def __init__( + self, parser: pdf_parser_v2, document_hash: str, page_no: int, page_obj: PdfPage + ): + self._ppage = page_obj + parsed_page = parser.parse_pdf_from_key_on_page(document_hash, page_no) + + self.valid = "pages" in parsed_page + if self.valid: + self._dpage = parsed_page["pages"][page_no] + else: + _log.info( + f"An error occured when loading page {page_no} of document {document_hash}." + ) + + def is_valid(self) -> bool: + return self.valid + + def get_text_in_rect(self, bbox: BoundingBox) -> str: + if not self.valid: + return "" + # Find intersecting cells on the page + text_piece = "" + page_size = self.get_size() + + parser_width = self._dpage["sanitized"]["dimension"]["width"] + parser_height = self._dpage["sanitized"]["dimension"]["height"] + + scale = ( + 1 # FIX - Replace with param in get_text_in_rect across backends (optional) + ) + + cells_data = self._dpage["sanitized"]["cells"]["data"] + cells_header = self._dpage["sanitized"]["cells"]["header"] + + for i, cell_data in enumerate(cells_data): + x0 = cell_data[cells_header.index("x0")] + y0 = cell_data[cells_header.index("y0")] + x1 = cell_data[cells_header.index("x1")] + y1 = cell_data[cells_header.index("y1")] + + cell_bbox = BoundingBox( + l=x0 * scale * page_size.width / parser_width, + b=y0 * scale * page_size.height / parser_height, + r=x1 * scale * page_size.width / parser_width, + t=y1 * scale * page_size.height / parser_height, + coord_origin=CoordOrigin.BOTTOMLEFT, + ).to_top_left_origin(page_height=page_size.height * scale) + + overlap_frac = cell_bbox.intersection_area_with(bbox) / cell_bbox.area() + + if overlap_frac > 0.5: + if len(text_piece) > 0: + text_piece += " " + text_piece += cell_data[cells_header.index("text")] + + return text_piece + + def get_text_cells(self) -> Iterable[Cell]: + cells: List[Cell] = [] + cell_counter = 0 + + if not self.valid: + return cells + + page_size = self.get_size() + + parser_width = self._dpage["sanitized"]["dimension"]["width"] + parser_height = self._dpage["sanitized"]["dimension"]["height"] + + cells_data = self._dpage["sanitized"]["cells"]["data"] + cells_header = self._dpage["sanitized"]["cells"]["header"] + + for i, cell_data in enumerate(cells_data): + x0 = cell_data[cells_header.index("x0")] + y0 = cell_data[cells_header.index("y0")] + x1 = cell_data[cells_header.index("x1")] + y1 = cell_data[cells_header.index("y1")] + + if x1 < x0: + x0, x1 = x1, x0 + if y1 < y0: + y0, y1 = y1, y0 + + text_piece = cell_data[cells_header.index("text")] + cells.append( + Cell( + id=cell_counter, + text=text_piece, + bbox=BoundingBox( + # l=x0, b=y0, r=x1, t=y1, + l=x0 * page_size.width / parser_width, + b=y0 * page_size.height / parser_height, + r=x1 * page_size.width / parser_width, + t=y1 * page_size.height / parser_height, + coord_origin=CoordOrigin.BOTTOMLEFT, + ).to_top_left_origin(page_size.height), + ) + ) + cell_counter += 1 + + def draw_clusters_and_cells(): + image = ( + self.get_page_image() + ) # make new image to avoid drawing on the saved ones + draw = ImageDraw.Draw(image) + for c in cells: + x0, y0, x1, y1 = c.bbox.as_tuple() + cell_color = ( + random.randint(30, 140), + random.randint(30, 140), + random.randint(30, 140), + ) + draw.rectangle([(x0, y0), (x1, y1)], outline=cell_color) + image.show() + + # draw_clusters_and_cells() + + return cells + + def get_bitmap_rects(self, scale: float = 1) -> Iterable[BoundingBox]: + AREA_THRESHOLD = 32 * 32 + + images = self._dpage["sanitized"]["images"]["data"] + images_header = self._dpage["sanitized"]["images"]["header"] + + for row in images: + x0 = row[images_header.index("x0")] + y0 = row[images_header.index("y0")] + x1 = row[images_header.index("x1")] + y1 = row[images_header.index("y1")] + + cropbox = BoundingBox.from_tuple( + (x0, y0, x1, y1), origin=CoordOrigin.BOTTOMLEFT + ).to_top_left_origin(self.get_size().height) + + if cropbox.area() > AREA_THRESHOLD: + cropbox = cropbox.scaled(scale=scale) + + yield cropbox + + def get_page_image( + self, scale: float = 1, cropbox: Optional[BoundingBox] = None + ) -> Image.Image: + + page_size = self.get_size() + + if not cropbox: + cropbox = BoundingBox( + l=0, + r=page_size.width, + t=0, + b=page_size.height, + coord_origin=CoordOrigin.TOPLEFT, + ) + padbox = BoundingBox( + l=0, r=0, t=0, b=0, coord_origin=CoordOrigin.BOTTOMLEFT + ) + else: + padbox = cropbox.to_bottom_left_origin(page_size.height) + padbox.r = page_size.width - padbox.r + padbox.t = page_size.height - padbox.t + + image = ( + self._ppage.render( + scale=scale * 1.5, + rotation=0, # no additional rotation + crop=padbox.as_tuple(), + ) + .to_pil() + .resize(size=(round(cropbox.width * scale), round(cropbox.height * scale))) + ) # We resize the image from 1.5x the given scale to make it sharper. + + return image + + def get_size(self) -> PageSize: + return PageSize(width=self._ppage.get_width(), height=self._ppage.get_height()) + + def unload(self): + self._ppage = None + self._dpage = None + + +class DoclingParseV2DocumentBackend(PdfDocumentBackend): + def __init__(self, path_or_stream: Union[BytesIO, Path], document_hash: str): + super().__init__(path_or_stream, document_hash) + + self._pdoc = pdfium.PdfDocument(path_or_stream) + self.parser = pdf_parser_v2("fatal") + + success = False + if isinstance(path_or_stream, BytesIO): + success = self.parser.load_document_from_bytesio( + document_hash, path_or_stream + ) + elif isinstance(path_or_stream, Path): + success = self.parser.load_document(document_hash, str(path_or_stream)) + + if not success: + raise RuntimeError( + f"docling-parse could not load document {document_hash}." + ) + + def page_count(self) -> int: + return len(self._pdoc) # To be replaced with docling-parse API + + def load_page(self, page_no: int) -> DoclingParseV2PageBackend: + return DoclingParseV2PageBackend( + self.parser, self.document_hash, page_no, self._pdoc[page_no] + ) + + def is_valid(self) -> bool: + return self.page_count() > 0 + + def unload(self): + super().unload() + self.parser.unload_document(self.document_hash) + self._pdoc.close() + self._pdoc = None diff --git a/poetry.lock b/poetry.lock index 0e3f4319..307927dd 100644 --- a/poetry.lock 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+47,7 @@ huggingface_hub = ">=0.23,<1" requests = "^2.32.3" easyocr = "^1.7" tesserocr = { version = "^2.7.1", optional = true } -docling-parse = "^1.4.1" +docling-parse = "^1.6.0" certifi = ">=2024.7.4" rtree = "^1.3.0" scipy = "^1.14.1" diff --git a/tests/test_backend_docling_parse_v2.py b/tests/test_backend_docling_parse_v2.py new file mode 100644 index 00000000..b4c4be0c --- /dev/null +++ b/tests/test_backend_docling_parse_v2.py @@ -0,0 +1,65 @@ +from pathlib import Path + +import pytest + +from docling.backend.docling_parse_v2_backend import ( + DoclingParseV2DocumentBackend, + DoclingParseV2PageBackend, +) +from docling.datamodel.base_models import BoundingBox + + +@pytest.fixture +def test_doc_path(): + return Path("./tests/data/2206.01062.pdf") + + +@pytest.mark.skip +def test_text_cell_counts(): + pdf_doc = Path("./tests/data/redp5695.pdf") + + doc_backend = DoclingParseV2DocumentBackend(pdf_doc, "123456xyz") + + for page_index in range(0, doc_backend.page_count()): + last_cell_count = None + for i in range(10): + page_backend: DoclingParseV2PageBackend = doc_backend.load_page(0) + cells = list(page_backend.get_text_cells()) + + if last_cell_count is None: + last_cell_count = len(cells) + + if len(cells) != last_cell_count: + assert ( + False + ), "Loading page multiple times yielded non-identical text cell counts" + last_cell_count = len(cells) + + +def test_get_text_from_rect(test_doc_path): + doc_backend = DoclingParseV2DocumentBackend(test_doc_path, "123456xyz") + page_backend: DoclingParseV2PageBackend = 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 = DoclingParseV2DocumentBackend(test_doc_path, "123456xyz") + page_backend: DoclingParseV2PageBackend = 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 = DoclingParseV2DocumentBackend(test_doc_path, "123456xyz") + doc_backend.page_count() == 9