mirror of
https://github.com/DS4SD/docling.git
synced 2025-07-26 20:14:47 +00:00
Update docling_parse_v4_backend.py
Signed-off-by: ShiroYasha18 <85089952+ShiroYasha18@users.noreply.github.com>
This commit is contained in:
ShiroYasha18
GitHub
parent
b5b1d5c10c
commit
069378aefb
@ -1,11 +1,8 @@
|
||||
import logging
|
||||
from collections.abc import Iterable
|
||||
from functools import lru_cache
|
||||
from io import BytesIO
|
||||
from pathlib import Path
|
||||
from typing import TYPE_CHECKING, Optional, Union, List, Dict
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
import time
|
||||
from typing import TYPE_CHECKING, Optional, Union
|
||||
|
||||
import pypdfium2 as pdfium
|
||||
from docling_core.types.doc import BoundingBox, CoordOrigin
|
||||
@ -23,153 +20,81 @@ if TYPE_CHECKING:
|
||||
|
||||
_log = logging.getLogger(__name__)
|
||||
|
||||
# Constants
|
||||
AREA_THRESHOLD = 0 # Threshold for bitmap area processing
|
||||
OVERLAP_THRESHOLD = 0.5 # Threshold for text cell overlap
|
||||
IMAGE_SCALE_FACTOR = 1.5 # Scale factor for rendering images
|
||||
MAX_WORKERS = 4 # Maximum number of worker threads for parallel processing
|
||||
PAGE_CACHE_SIZE = 5 # Number of pages to keep in memory
|
||||
|
||||
|
||||
class DoclingParseV4PageBackend(PdfPageBackend):
|
||||
def __init__(self, parsed_page: SegmentedPdfPage, page_obj: PdfPage):
|
||||
self._ppage = page_obj
|
||||
self._dpage = parsed_page
|
||||
self.valid = parsed_page is not None
|
||||
self._page_size: Optional[Size] = None
|
||||
self._textline_cells_top_left: Optional[List[TextCell]] = None
|
||||
self._creation_time = time.time()
|
||||
self._last_access_time = self._creation_time
|
||||
|
||||
def is_valid(self) -> bool:
|
||||
self._last_access_time = time.time()
|
||||
return self.valid
|
||||
|
||||
@lru_cache(maxsize=1)
|
||||
def get_size(self) -> Size:
|
||||
"""Get page size with caching for better performance."""
|
||||
self._last_access_time = time.time()
|
||||
if self._page_size is None:
|
||||
with pypdfium2_lock:
|
||||
self._page_size = Size(
|
||||
width=self._ppage.get_width(), height=self._ppage.get_height()
|
||||
)
|
||||
return self._page_size
|
||||
|
||||
def _get_textline_cells_top_left(self) -> List[TextCell]:
|
||||
"""Get text cells converted to top-left origin (with caching)."""
|
||||
self._last_access_time = time.time()
|
||||
if self._textline_cells_top_left is None:
|
||||
page_size = self.get_size()
|
||||
self._textline_cells_top_left = []
|
||||
|
||||
for cell in self._dpage.textline_cells:
|
||||
# Create a copy of the cell with top-left origin
|
||||
cell_copy = cell.model_copy(deep=True)
|
||||
cell_copy.rect = cell_copy.rect.to_top_left_origin(page_size.height)
|
||||
self._textline_cells_top_left.append(cell_copy)
|
||||
|
||||
return self._textline_cells_top_left
|
||||
|
||||
def get_text_in_rect(self, bbox: BoundingBox) -> str:
|
||||
"""Extract text from cells that overlap with the given bounding box."""
|
||||
self._last_access_time = time.time()
|
||||
if not self.valid:
|
||||
return ""
|
||||
|
||||
text_pieces = []
|
||||
# Find intersecting cells on the page
|
||||
text_piece = ""
|
||||
page_size = self.get_size()
|
||||
scale = 1
|
||||
|
||||
# Ensure bbox is in top-left origin
|
||||
if bbox.coord_origin != CoordOrigin.TOPLEFT:
|
||||
bbox = bbox.to_top_left_origin(page_height=page_size.height)
|
||||
scale = (
|
||||
1 # FIX - Replace with param in get_text_in_rect across backends (optional)
|
||||
)
|
||||
|
||||
for cell in self._get_textline_cells_top_left():
|
||||
cell_bbox = cell.rect.to_bounding_box().scaled(scale)
|
||||
for i, cell in enumerate(self._dpage.textline_cells):
|
||||
cell_bbox = (
|
||||
cell.rect.to_bounding_box()
|
||||
.to_top_left_origin(page_height=page_size.height)
|
||||
.scaled(scale)
|
||||
)
|
||||
|
||||
# Calculate intersection area
|
||||
overlap_frac = cell_bbox.intersection_area_with(bbox) / cell_bbox.area()
|
||||
|
||||
if overlap_frac > OVERLAP_THRESHOLD:
|
||||
text_pieces.append(cell.text)
|
||||
if overlap_frac > 0.5:
|
||||
if len(text_piece) > 0:
|
||||
text_piece += " "
|
||||
text_piece += cell.text
|
||||
|
||||
return " ".join(text_pieces)
|
||||
|
||||
def get_text_in_rects(self, bboxes: List[BoundingBox]) -> List[str]:
|
||||
"""Extract text from multiple regions in a single pass for better performance."""
|
||||
self._last_access_time = time.time()
|
||||
if not self.valid or not bboxes:
|
||||
return [""] * len(bboxes)
|
||||
|
||||
page_size = self.get_size()
|
||||
results = [""] * len(bboxes)
|
||||
text_pieces = [[] for _ in range(len(bboxes))]
|
||||
|
||||
# Ensure all bboxes are in top-left origin
|
||||
normalized_bboxes = []
|
||||
for bbox in bboxes:
|
||||
if bbox.coord_origin != CoordOrigin.TOPLEFT:
|
||||
normalized_bboxes.append(bbox.to_top_left_origin(page_height=page_size.height))
|
||||
else:
|
||||
normalized_bboxes.append(bbox)
|
||||
|
||||
# Process all cells once
|
||||
for cell in self._get_textline_cells_top_left():
|
||||
cell_bbox = cell.rect.to_bounding_box()
|
||||
|
||||
# Check against all bboxes
|
||||
for i, bbox in enumerate(normalized_bboxes):
|
||||
overlap_frac = cell_bbox.intersection_area_with(bbox) / cell_bbox.area()
|
||||
if overlap_frac > OVERLAP_THRESHOLD:
|
||||
text_pieces[i].append(cell.text)
|
||||
|
||||
# Join text pieces for each bbox
|
||||
for i in range(len(bboxes)):
|
||||
results[i] = " ".join(text_pieces[i])
|
||||
|
||||
return results
|
||||
return text_piece
|
||||
|
||||
def get_segmented_page(self) -> Optional[SegmentedPdfPage]:
|
||||
self._last_access_time = time.time()
|
||||
return self._dpage
|
||||
|
||||
def get_text_cells(self) -> Iterable[TextCell]:
|
||||
"""Return text cells in top-left origin coordinates."""
|
||||
self._last_access_time = time.time()
|
||||
if not self.valid:
|
||||
return []
|
||||
page_size = self.get_size()
|
||||
|
||||
return self._get_textline_cells_top_left()
|
||||
[tc.to_top_left_origin(page_size.height) for tc in self._dpage.textline_cells]
|
||||
|
||||
# for cell in self._dpage.textline_cells:
|
||||
# rect = cell.rect
|
||||
#
|
||||
# assert (
|
||||
# rect.to_bounding_box().l <= rect.to_bounding_box().r
|
||||
# ), f"left is > right on bounding box {rect.to_bounding_box()} of rect {rect}"
|
||||
# assert (
|
||||
# rect.to_bounding_box().t <= rect.to_bounding_box().b
|
||||
# ), f"top is > bottom on bounding box {rect.to_bounding_box()} of rect {rect}"
|
||||
|
||||
return self._dpage.textline_cells
|
||||
|
||||
def get_bitmap_rects(self, scale: float = 1) -> Iterable[BoundingBox]:
|
||||
"""Get bounding boxes for bitmap images on the page."""
|
||||
self._last_access_time = time.time()
|
||||
if not self.valid:
|
||||
return []
|
||||
AREA_THRESHOLD = 0 # 32 * 32
|
||||
|
||||
page_height = self.get_size().height
|
||||
images = self._dpage.bitmap_resources
|
||||
|
||||
for img in self._dpage.bitmap_resources:
|
||||
cropbox = img.rect.to_bounding_box().to_top_left_origin(page_height)
|
||||
for img in images:
|
||||
cropbox = img.rect.to_bounding_box().to_top_left_origin(
|
||||
self.get_size().height
|
||||
)
|
||||
|
||||
if cropbox.area() > AREA_THRESHOLD:
|
||||
yield cropbox.scaled(scale=scale)
|
||||
cropbox = cropbox.scaled(scale=scale)
|
||||
|
||||
yield cropbox
|
||||
|
||||
def get_page_image(
|
||||
self, scale: float = 1, cropbox: Optional[BoundingBox] = None
|
||||
) -> Image.Image:
|
||||
"""Render the page as an image, optionally cropped to a specific region."""
|
||||
self._last_access_time = time.time()
|
||||
page_size = self.get_size()
|
||||
|
||||
# Skip rendering if page is invalid
|
||||
if not self.valid:
|
||||
# Return blank image of appropriate size
|
||||
width = round(page_size.width * scale)
|
||||
height = round(page_size.height * scale)
|
||||
return Image.new('RGB', (width, height), color='white')
|
||||
|
||||
if not cropbox:
|
||||
cropbox = BoundingBox(
|
||||
l=0,
|
||||
@ -189,86 +114,64 @@ class DoclingParseV4PageBackend(PdfPageBackend):
|
||||
with pypdfium2_lock:
|
||||
image = (
|
||||
self._ppage.render(
|
||||
scale=scale * IMAGE_SCALE_FACTOR,
|
||||
rotation=0,
|
||||
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:
|
||||
with pypdfium2_lock:
|
||||
return Size(width=self._ppage.get_width(), height=self._ppage.get_height())
|
||||
|
||||
# TODO: Take width and height from docling-parse.
|
||||
# return Size(
|
||||
# width=self._dpage.dimension.width,
|
||||
# height=self._dpage.dimension.height,
|
||||
# )
|
||||
|
||||
def unload(self):
|
||||
"""Clean up resources."""
|
||||
self._ppage = None
|
||||
self._dpage = None
|
||||
self._page_size = None
|
||||
self._textline_cells_top_left = None
|
||||
|
||||
|
||||
class DoclingParseV4DocumentBackend(PdfDocumentBackend):
|
||||
def __init__(self, in_doc: "InputDocument", path_or_stream: Union[BytesIO, Path]):
|
||||
"""Initialize the document backend with error handling."""
|
||||
super().__init__(in_doc, path_or_stream)
|
||||
self._page_cache: Dict[int, DoclingParseV4PageBackend] = {}
|
||||
self._executor = ThreadPoolExecutor(max_workers=MAX_WORKERS)
|
||||
|
||||
try:
|
||||
with pypdfium2_lock:
|
||||
self._pdoc = pdfium.PdfDocument(self.path_or_stream)
|
||||
|
||||
self.parser = DoclingPdfParser(loglevel="fatal")
|
||||
self.dp_doc: PdfDocument = self.parser.load(path_or_stream=self.path_or_stream)
|
||||
success = self.dp_doc is not None
|
||||
|
||||
if self.dp_doc is None:
|
||||
raise RuntimeError(f"Failed to load document with docling-parse v4")
|
||||
|
||||
except Exception as e:
|
||||
_log.error(f"Error initializing DoclingParseV4: {str(e)}")
|
||||
if not success:
|
||||
raise RuntimeError(
|
||||
f"docling-parse v4 could not load document {self.document_hash}: {str(e)}"
|
||||
f"docling-parse v4 could not load document {self.document_hash}."
|
||||
)
|
||||
|
||||
def page_count(self) -> int:
|
||||
"""Get the number of pages in the document with validation."""
|
||||
# return len(self._pdoc) # To be replaced with docling-parse API
|
||||
|
||||
len_1 = len(self._pdoc)
|
||||
len_2 = self.dp_doc.number_of_pages()
|
||||
|
||||
if len_1 != len_2:
|
||||
_log.warning(f"Inconsistent number of pages: {len_1}!={len_2}")
|
||||
_log.error(f"Inconsistent number of pages: {len_1}!={len_2}")
|
||||
|
||||
return len_2
|
||||
|
||||
def _manage_cache(self):
|
||||
"""Manage page cache size by removing least recently used pages."""
|
||||
if len(self._page_cache) > PAGE_CACHE_SIZE:
|
||||
# Sort pages by last access time
|
||||
sorted_pages = sorted(
|
||||
self._page_cache.items(),
|
||||
key=lambda item: item[1]._last_access_time
|
||||
)
|
||||
# Remove oldest pages
|
||||
pages_to_remove = len(self._page_cache) - PAGE_CACHE_SIZE
|
||||
for i in range(pages_to_remove):
|
||||
page_no, page = sorted_pages[i]
|
||||
page.unload()
|
||||
del self._page_cache[page_no]
|
||||
|
||||
def load_page(
|
||||
self, page_no: int, create_words: bool = True, create_textlines: bool = True
|
||||
) -> DoclingParseV4PageBackend:
|
||||
"""Load a specific page with error handling and caching."""
|
||||
# Check cache first
|
||||
if page_no in self._page_cache:
|
||||
self._page_cache[page_no]._last_access_time = time.time()
|
||||
return self._page_cache[page_no]
|
||||
|
||||
try:
|
||||
with pypdfium2_lock:
|
||||
page_backend = DoclingParseV4PageBackend(
|
||||
return DoclingParseV4PageBackend(
|
||||
self.dp_doc.get_page(
|
||||
page_no + 1,
|
||||
create_words=create_words,
|
||||
@ -277,86 +180,12 @@ class DoclingParseV4DocumentBackend(PdfDocumentBackend):
|
||||
self._pdoc[page_no],
|
||||
)
|
||||
|
||||
# Add to cache
|
||||
self._page_cache[page_no] = page_backend
|
||||
self._manage_cache()
|
||||
|
||||
return page_backend
|
||||
except Exception as e:
|
||||
_log.error(f"Error loading page {page_no}: {str(e)}")
|
||||
# Return an invalid page backend instead of raising an exception
|
||||
with pypdfium2_lock:
|
||||
return DoclingParseV4PageBackend(None, self._pdoc[page_no])
|
||||
|
||||
def load_pages_in_parallel(
|
||||
self, page_numbers: List[int], create_words: bool = True, create_textlines: bool = True
|
||||
) -> List[DoclingParseV4PageBackend]:
|
||||
"""Load multiple pages in parallel for better performance."""
|
||||
# Check which pages are already in cache
|
||||
pages_to_load = []
|
||||
results = [None] * len(page_numbers)
|
||||
|
||||
for i, page_no in enumerate(page_numbers):
|
||||
if page_no in self._page_cache:
|
||||
self._page_cache[page_no]._last_access_time = time.time()
|
||||
results[i] = self._page_cache[page_no]
|
||||
else:
|
||||
pages_to_load.append((i, page_no))
|
||||
|
||||
if not pages_to_load:
|
||||
return results
|
||||
|
||||
# Define a function to load a single page
|
||||
def load_single_page(idx_page_tuple):
|
||||
idx, page_no = idx_page_tuple
|
||||
try:
|
||||
with pypdfium2_lock:
|
||||
page = self.dp_doc.get_page(
|
||||
page_no + 1,
|
||||
create_words=create_words,
|
||||
create_textlines=create_textlines,
|
||||
)
|
||||
ppage = self._pdoc[page_no]
|
||||
|
||||
page_backend = DoclingParseV4PageBackend(page, ppage)
|
||||
return idx, page_no, page_backend
|
||||
except Exception as e:
|
||||
_log.error(f"Error loading page {page_no} in parallel: {str(e)}")
|
||||
with pypdfium2_lock:
|
||||
return idx, page_no, DoclingParseV4PageBackend(None, self._pdoc[page_no])
|
||||
|
||||
# Load pages in parallel
|
||||
for idx, page_no, page_backend in self._executor.map(load_single_page, pages_to_load):
|
||||
results[idx] = page_backend
|
||||
self._page_cache[page_no] = page_backend
|
||||
|
||||
self._manage_cache()
|
||||
return results
|
||||
|
||||
def is_valid(self) -> bool:
|
||||
"""Check if the document is valid."""
|
||||
return self.dp_doc is not None and self.page_count() > 0
|
||||
return self.page_count() > 0
|
||||
|
||||
def unload(self):
|
||||
"""Clean up resources properly."""
|
||||
super().unload()
|
||||
|
||||
# Unload all cached pages
|
||||
for page in self._page_cache.values():
|
||||
page.unload()
|
||||
self._page_cache.clear()
|
||||
|
||||
# Shutdown executor
|
||||
if hasattr(self, '_executor'):
|
||||
self._executor.shutdown(wait=False)
|
||||
|
||||
if hasattr(self, 'dp_doc') and self.dp_doc is not None:
|
||||
self.dp_doc.unload()
|
||||
|
||||
if hasattr(self, '_pdoc') and self._pdoc is not None:
|
||||
with pypdfium2_lock:
|
||||
self._pdoc.close()
|
||||
|
||||
self._pdoc = None
|
||||
self.dp_doc = None
|
||||
self.parser = None
|
||||
|
||||
Loading…
Reference in New Issue
Block a user