Add back DoclingParse v1 backend, pipeline options

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

docling/backend/docling_parse_backend.py

@@ -0,0 +1,234 @@
+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_core.types.doc import BoundingBox, CoordOrigin, Size
+from docling_core.types.doc.page import BoundingRectangle, SegmentedPdfPage, TextCell
+from docling_parse.pdf_parsers import pdf_parser_v1
+from PIL import Image, ImageDraw
+from pypdfium2 import PdfPage
+
+from docling.backend.pdf_backend import PdfDocumentBackend, PdfPageBackend
+from docling.datamodel.document import InputDocument
+
+_log = logging.getLogger(__name__)
+
+
+class DoclingParsePageBackend(PdfPageBackend):
+    def __init__(
+        self, parser: pdf_parser_v1, 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"][0]
+        else:
+            _log.info(
+                f"An error occurred 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["width"]
+        parser_height = self._dpage["height"]
+
+        scale = (
+            1  # FIX - Replace with param in get_text_in_rect across backends (optional)
+        )
+
+        for i in range(len(self._dpage["cells"])):
+            rect = self._dpage["cells"][i]["box"]["device"]
+            x0, y0, x1, y1 = rect
+            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 += self._dpage["cells"][i]["content"]["rnormalized"]
+
+        return text_piece
+
+    def get_segmented_page(self) -> Optional[SegmentedPdfPage]:
+        return None
+
+    def get_text_cells(self) -> Iterable[TextCell]:
+        cells: List[TextCell] = []
+        cell_counter = 0
+
+        if not self.valid:
+            return cells
+
+        page_size = self.get_size()
+
+        parser_width = self._dpage["width"]
+        parser_height = self._dpage["height"]
+
+        for i in range(len(self._dpage["cells"])):
+            rect = self._dpage["cells"][i]["box"]["device"]
+            x0, y0, x1, y1 = rect
+
+            if x1 < x0:
+                x0, x1 = x1, x0
+            if y1 < y0:
+                y0, y1 = y1, y0
+
+            text_piece = self._dpage["cells"][i]["content"]["rnormalized"]
+            cells.append(
+                TextCell(
+                    index=cell_counter,
+                    text=text_piece,
+                    orig=text_piece,
+                    rect=BoundingRectangle.from_bounding_box(
+                        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.rect.to_bounding_box().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()
+
+        # before merge:
+        # draw_clusters_and_cells()
+
+        # cells = merge_horizontal_cells(cells)
+
+        # after merge:
+        # draw_clusters_and_cells()
+
+        return cells
+
+    def get_bitmap_rects(self, scale: float = 1) -> Iterable[BoundingBox]:
+        AREA_THRESHOLD = 0  # 32 * 32
+
+        for i in range(len(self._dpage["images"])):
+            bitmap = self._dpage["images"][i]
+            cropbox = BoundingBox.from_tuple(
+                bitmap["box"], 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).model_copy()
+            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) -> Size:
+        return Size(width=self._ppage.get_width(), height=self._ppage.get_height())
+
+    def unload(self):
+        self._ppage = None
+        self._dpage = None
+
+
+class DoclingParseDocumentBackend(PdfDocumentBackend):
+    def __init__(self, in_doc: "InputDocument", path_or_stream: Union[BytesIO, Path]):
+        super().__init__(in_doc, path_or_stream)
+
+        self._pdoc = pdfium.PdfDocument(self.path_or_stream)
+        self.parser = pdf_parser_v1()
+
+        success = False
+        if isinstance(self.path_or_stream, BytesIO):
+            success = self.parser.load_document_from_bytesio(
+                self.document_hash, self.path_or_stream
+            )
+        elif isinstance(self.path_or_stream, Path):
+            success = self.parser.load_document(
+                self.document_hash, str(self.path_or_stream)
+            )
+
+        if not success:
+            raise RuntimeError(
+                f"docling-parse could not load document with hash {self.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) -> DoclingParsePageBackend:
+        return DoclingParsePageBackend(
+            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

docling/backend/docling_parse_v3_backend.py

@@ -65,9 +65,9 @@ class DoclingParseV3PageBackend(PdfPageBackend):
         for cell in self._dpage.textline_cells:
             rect = cell.rect
 
-            if rect.r_x2 < rect.r_x0:
+            # if rect.r_x2 < rect.r_x0:
-                rect.r_x0, rect.r_x2 = rect.r_x2, rect.r_x0
+            #    rect.r_x0, rect.r_x2 = rect.r_x2, rect.r_x0
-                rect.r_y3, rect.r_y1 = rect.r_y1, rect.r_y3
+            #    rect.r_y3, rect.r_y1 = rect.r_y1, rect.r_y3
 
             # rect.r_x2, rect.r_x3 = rect.r_x3, rect.r_x2
 

docling/cli/main.py

@@ -412,7 +412,9 @@ def convert(
         if artifacts_path is not None:
             pipeline_options.artifacts_path = artifacts_path
 
-        if pdf_backend == PdfBackend.DLPARSE_V2:
+        if pdf_backend == PdfBackend.DLPARSE_V1:
+            backend = DoclingParseV2DocumentBackend
+        elif pdf_backend == PdfBackend.DLPARSE_V2:
             backend = DoclingParseV2DocumentBackend
         elif pdf_backend == PdfBackend.DLPARSE_V3:
             backend = DoclingParseV3DocumentBackend  # type: ignore

docling/datamodel/pipeline_options.py

@@ -299,6 +299,7 @@ class PdfBackend(str, Enum):
     """Enum of valid PDF backends."""
 
     PYPDFIUM2 = "pypdfium2"
+    DLPARSE_V1 = "dlparse_v1"
     DLPARSE_V2 = "dlparse_v2"
     DLPARSE_V3 = "dlparse_v3"
 
@@ -381,3 +382,5 @@ class PdfPipelineOptions(PaginatedPipelineOptions):
             "before conversion and then use the `TableItem.get_image` function."
         ),
     )
+
+    generate_parsed_pages: bool = False

docling/models/page_preprocessing_model.py

@@ -13,6 +13,7 @@ from docling.utils.profiling import TimeRecorder
 
 class PagePreprocessingOptions(BaseModel):
     images_scale: Optional[float]
+    create_parsed_page: bool
 
 
 class PagePreprocessingModel(BasePageModel):
@@ -54,7 +55,9 @@ class PagePreprocessingModel(BasePageModel):
         assert page._backend is not None
 
         page.cells = list(page._backend.get_text_cells())
-        page.parsed_page = page._backend.get_segmented_page()
+
+        if self.options.create_parsed_page:
+            page.parsed_page = page._backend.get_segmented_page()
 
         # DEBUG code:
         def draw_text_boxes(image, cells, show: bool = False):

docling/pipeline/standard_pdf_pipeline.py

@@ -87,7 +87,8 @@ class StandardPdfPipeline(PaginatedPipeline):
             # Pre-processing
             PagePreprocessingModel(
                 options=PagePreprocessingOptions(
-                    images_scale=pipeline_options.images_scale
+                    images_scale=pipeline_options.images_scale,
+                    create_parsed_page=pipeline_options.generate_parsed_pages,
                 )
             ),
             # OCR

poetry.lock

@@ -898,7 +898,7 @@ chunking = ["semchunk (>=2.2.0,<3.0.0)", "transformers (>=4.34.0,<5.0.0)"]
 type = "git"
 url = "https://github.com/DS4SD/docling-core"
 reference = "cau/docling-parse-types"
-resolved_reference = "a2f1fccf80324e74c1ed66574bfa2bc02163e2ae"
+resolved_reference = "7cb80880a4781e781cf797d42bda34498cf81184"
 
 [[package]]
 name = "docling-ibm-models"

tests/test_backend_docling_parse.py

@@ -0,0 +1,77 @@
+from pathlib import Path
+
+import pytest
+from docling_core.types.doc import BoundingBox
+
+from docling.backend.docling_parse_backend import (
+    DoclingParseDocumentBackend,
+    DoclingParsePageBackend,
+)
+from docling.datamodel.base_models import InputFormat
+from docling.datamodel.document import InputDocument
+
+
+@pytest.fixture
+def test_doc_path():
+    return Path("./tests/data/pdf/2206.01062.pdf")
+
+
+def _get_backend(pdf_doc):
+    in_doc = InputDocument(
+        path_or_stream=pdf_doc,
+        format=InputFormat.PDF,
+        backend=DoclingParseDocumentBackend,
+    )
+
+    doc_backend = in_doc._backend
+    return doc_backend
+
+
+def test_text_cell_counts():
+    pdf_doc = Path("./tests/data/pdf/redp5110_sampled.pdf")
+
+    doc_backend = _get_backend(pdf_doc)
+
+    for page_index in range(0, doc_backend.page_count()):
+        last_cell_count = None
+        for i in range(10):
+            page_backend: DoclingParsePageBackend = 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 = _get_backend(test_doc_path)
+    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 = _get_backend(test_doc_path)
+    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 = _get_backend(test_doc_path)
+    doc_backend.page_count() == 9