diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 7ba4696ae8..73dd182a84 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,5 +1,4 @@ fail_fast: true -minimum_pre_commit_version: "3.7.0" default_stages: [pre-commit] repos: - repo: https://github.com/pre-commit/pre-commit-hooks @@ -50,6 +49,7 @@ repos: - id: max-lines name: Check max lines per file entry: python3 scripts/check_max_lines.py + args: [--max-lines=1500] language: system files: '\.(py|ts|tsx|js|jsx|rs|json|sql|md|txt|yaml|yml)$' pass_filenames: true diff --git a/docling/backend/docling_parse_backend.py b/docling/backend/docling_parse_backend.py index a14f057371..1a50c9012b 100644 --- a/docling/backend/docling_parse_backend.py +++ b/docling/backend/docling_parse_backend.py @@ -1,5 +1,5 @@ import logging -from collections.abc import Iterable +from collections.abc import Iterable, Iterator from io import BytesIO from pathlib import Path from typing import TYPE_CHECKING, Optional, Union @@ -7,7 +7,14 @@ import pypdfium2 as pdfium from docling_core.types.doc import BoundingBox, CoordOrigin from docling_core.types.doc.page import SegmentedPdfPage, TextCell -from docling_parse.pdf_parser import DoclingPdfParser, PdfDocument +from docling_parse.pdf_parser import ( + DoclingPdfParser, + DoclingThreadedPdfParser, + PageParseResult, + PdfDocument, + RenderConfig, + ThreadedPdfParserConfig, +) from docling_parse.pdf_parsers import DecodePageConfig from PIL import Image from pypdfium2 import PdfPage @@ -16,8 +23,14 @@ ManagedPdfiumDocumentBackend, ManagedPdfiumPageBackend, ) -from docling.datamodel.backend_options import PdfBackendOptions +from docling.backend.pdf_backend import PdfDocumentBackend, PdfPageBackend +from docling.datamodel.accelerator_options import AcceleratorOptions +from docling.datamodel.backend_options import ( + PdfBackendOptions, + ThreadedDoclingParseBackendOptions, +) from docling.datamodel.base_models import Size +from docling.datamodel.settings import DEFAULT_PAGE_RANGE from docling.utils.locks import pypdfium2_lock if TYPE_CHECKING: @@ -26,6 +39,31 @@ _log = logging.getLogger(__name__) +def _make_docling_parse_decode_config( + *, + create_words: bool, + create_textlines: bool, + release_native_memory_every_n_pages: int | None = None, +) -> DecodePageConfig: + config = DecodePageConfig() + config.keep_char_cells = False + config.keep_shapes = False + config.keep_bitmaps = ( + True # we need to set this to True, otherwhise OCR will not work + ) + config.create_word_cells = create_words + config.create_line_cells = create_textlines + config.enforce_same_font = True + config.materialize_bitmap_bytes = ( + False # don't need bitmap images, only rectangles. + ) + + if release_native_memory_every_n_pages is not None: + config.release_native_memory_every_n_pages = release_native_memory_every_n_pages + + return config + + class DoclingParsePageBackend(ManagedPdfiumPageBackend): def __init__( self, @@ -55,6 +93,10 @@ def __init__( self._unloaded = False self.valid = (self._ppage is not None) and (self._dp_doc is not None) + @property + def page_no(self) -> int: + return self._page_no + 1 + def _require_page(self) -> PdfPage: assert self._ppage is not None, "Page backend was unloaded." return self._ppage @@ -68,17 +110,10 @@ def _ensure_parsed(self) -> None: # should not need to keep the char's, but it seems no lines # get created if we dont keep the chars. Updated version of # docling-parse >v5.3.0 should fix this. - config = DecodePageConfig() - config.keep_char_cells = ( - True # we need to set this to True, otherwhise we have no lines - ) - config.keep_shapes = False # we dont need this, self._keep_lines - config.keep_bitmaps = ( - True # we need to set this to True, otherwhise OCR will not work + config = _make_docling_parse_decode_config( + create_words=self._create_words, + create_textlines=self._create_textlines, ) - config.create_word_cells = self._create_words - config.create_line_cells = self._create_textlines - config.enforce_same_font = True assert self._dp_doc is not None seg_page = self._dp_doc.get_page(self._page_no + 1, config=config) @@ -283,3 +318,183 @@ def _close_native_document(self) -> None: except Exception: pass self._pdoc = None + + +def _resolve_threaded_page_numbers( + path_or_stream: Union[BytesIO, Path], + password: Optional[str], + page_range: tuple[int, int], +) -> list[int] | None: + start_page, end_page = page_range + + if page_range == DEFAULT_PAGE_RANGE: + return None + + with pypdfium2_lock: + pdoc = pdfium.PdfDocument(path_or_stream, password=password) + try: + page_count = len(pdoc) + finally: + pdoc.close() + + clipped_end_page = min(end_page, page_count) + if start_page > clipped_end_page: + return [] + + return list(range(start_page, clipped_end_page + 1)) + + +class ThreadedDoclingParsePageBackend(PdfPageBackend): + def __init__(self, result: PageParseResult): + self._result = result + self._seg_page: Optional[SegmentedPdfPage] = None + + @property + def page_no(self) -> int: + return self._result.page_number + + def is_valid(self) -> bool: + return self._result.success + + def get_text_in_rect(self, bbox: BoundingBox) -> str: + segmented_page = self.get_segmented_page() + if segmented_page is None: + return "" + + text_piece = "" + for cell in segmented_page.textline_cells: + cell_bbox = cell.rect.to_bounding_box() + overlap_frac = cell_bbox.intersection_over_self(bbox) + if overlap_frac > 0.5: + if text_piece: + text_piece += " " + text_piece += cell.text + + return text_piece + + def get_segmented_page(self) -> Optional[SegmentedPdfPage]: + if not self.is_valid(): + return None + if self._seg_page is None: + seg_page = self._result.get_page() + page_height = seg_page.dimension.height + for tc in seg_page.textline_cells: + tc.to_top_left_origin(page_height) + for tc in seg_page.char_cells: + tc.to_top_left_origin(page_height) + for tc in seg_page.word_cells: + tc.to_top_left_origin(page_height) + self._seg_page = seg_page + return self._seg_page + + def get_text_cells(self) -> Iterable[TextCell]: + segmented_page = self.get_segmented_page() + if segmented_page is None: + return [] + return segmented_page.textline_cells + + def get_bitmap_rects(self, scale: float = 1) -> Iterable[BoundingBox]: + segmented_page = self.get_segmented_page() + if segmented_page is None: + return [] + + page_height = self.get_size().height + cropboxes: list[BoundingBox] = [] + for image_resource in segmented_page.bitmap_resources: + cropbox = image_resource.rect.to_bounding_box().to_top_left_origin( + page_height + ) + if cropbox.area() > 0: + cropboxes.append(cropbox.scaled(scale=scale)) + return cropboxes + + def get_page_image( + self, scale: float = 1, cropbox: Optional[BoundingBox] = None + ) -> Image.Image: + return self._result.get_image(scale=scale, cropbox=cropbox).convert("RGB") + + def get_size(self) -> Size: + return Size(width=self._result.page_width, height=self._result.page_height) + + def unload(self) -> None: + return None + + +class ThreadedDoclingParseDocumentBackend(PdfDocumentBackend): + supports_random_page_access = False + + def __init__( + self, + in_doc: "InputDocument", + path_or_stream: Union[BytesIO, Path], + options: Optional[PdfBackendOptions] = None, + ): + if options is None: + options = PdfBackendOptions() + super().__init__(in_doc, path_or_stream, options) + self.options: PdfBackendOptions + self._closed = False + + password = ( + self.options.password.get_secret_value() if self.options.password else None + ) + requested_page_numbers = _resolve_threaded_page_numbers( + self.path_or_stream, + password, + in_doc.limits.page_range, + ) + + parser_threads = ( + self.options.parser_threads + if isinstance(self.options, ThreadedDoclingParseBackendOptions) + and self.options.parser_threads is not None + else AcceleratorOptions().num_threads + ) + render_config = RenderConfig() + render_config.scale = 1.0 + native_memory_release_interval = ( + self.options.release_native_memory_every_n_pages + if isinstance(self.options, ThreadedDoclingParseBackendOptions) + else 128 + ) + decode_config = _make_docling_parse_decode_config( + create_words=True, + create_textlines=True, + release_native_memory_every_n_pages=native_memory_release_interval, + ) + + self.parser = DoclingThreadedPdfParser( + parser_config=ThreadedPdfParserConfig( + loglevel="fatal", + threads=parser_threads, + render_config=render_config, + ), + decode_config=decode_config, + ) + self.doc_key = self.parser.load( + self.path_or_stream, + password=password, + page_numbers=requested_page_numbers, + ) + + def is_valid(self) -> bool: + return not self._closed and self.page_count() > 0 + + def page_count(self) -> int: + return self.parser.page_count(self.doc_key) + + def load_page(self, page_no: int) -> PdfPageBackend: + raise NotImplementedError( + "ThreadedDoclingParseDocumentBackend only supports iter_pages()." + ) + + def iter_pages(self) -> Iterator[ThreadedDoclingParsePageBackend]: + for result in self.parser.iterate_results(): + yield ThreadedDoclingParsePageBackend(result) + + def unload(self) -> None: + if self._closed: + return + self._closed = True + self.parser.unload(self.doc_key) + super().unload() diff --git a/docling/backend/image_backend.py b/docling/backend/image_backend.py index c1c7ebc8a1..97448cd67c 100644 --- a/docling/backend/image_backend.py +++ b/docling/backend/image_backend.py @@ -23,10 +23,15 @@ class _ImagePageBackend(PdfPageBackend): - def __init__(self, image: Image.Image): + def __init__(self, image: Image.Image, page_no: int): self._image: Image.Image | None = image + self._page_no = page_no self.valid: bool = self._image is not None + @property + def page_no(self) -> int: + return self._page_no + 1 + def is_valid(self) -> bool: return self.valid @@ -176,7 +181,7 @@ def page_count(self) -> int: def load_page(self, page_no: int) -> _ImagePageBackend: if not (0 <= page_no < len(self._frames)): raise IndexError(f"Page index out of range: {page_no}") - return _ImagePageBackend(self._frames[page_no]) + return _ImagePageBackend(self._frames[page_no], page_no) @classmethod def supported_formats(cls) -> set[InputFormat]: diff --git a/docling/backend/mets_gbs_backend.py b/docling/backend/mets_gbs_backend.py index f88bf14ab9..58501b920e 100644 --- a/docling/backend/mets_gbs_backend.py +++ b/docling/backend/mets_gbs_backend.py @@ -52,11 +52,16 @@ def _get_pdf_page_geometry( class MetsGbsPageBackend(PdfPageBackend): - def __init__(self, parsed_page: SegmentedPdfPage, page_im: PILImage): + def __init__(self, parsed_page: SegmentedPdfPage, page_im: PILImage, page_no: int): self._im = page_im self._dpage = parsed_page + self._page_no = page_no self.valid = parsed_page is not None + @property + def page_no(self) -> int: + return self._page_no + 1 + def is_valid(self) -> bool: return self.valid @@ -438,7 +443,7 @@ def page_count(self) -> int: def load_page(self, page_no: int) -> MetsGbsPageBackend: # TODO: is this thread-safe? page, im = self._parse_page(page_no) - return MetsGbsPageBackend(parsed_page=page, page_im=im) + return MetsGbsPageBackend(parsed_page=page, page_im=im, page_no=page_no) def is_valid(self) -> bool: return self.root_mets is not None and self.page_count() > 0 diff --git a/docling/backend/pdf_backend.py b/docling/backend/pdf_backend.py index 8b1fab32ff..a3001f3366 100644 --- a/docling/backend/pdf_backend.py +++ b/docling/backend/pdf_backend.py @@ -1,8 +1,8 @@ from abc import ABC, abstractmethod -from collections.abc import Iterable +from collections.abc import Iterable, Iterator from io import BytesIO from pathlib import Path -from typing import Optional, Set, Union +from typing import ClassVar, Optional, Set, Union from docling_core.types.doc import BoundingBox, Size from docling_core.types.doc.page import SegmentedPdfPage, TextCell @@ -15,6 +15,11 @@ class PdfPageBackend(ABC): + @property + @abstractmethod + def page_no(self) -> int: + pass + @abstractmethod def get_text_in_rect(self, bbox: BoundingBox) -> str: pass @@ -51,6 +56,8 @@ def unload(self): class PdfDocumentBackend(PaginatedDocumentBackend): + supports_random_page_access: ClassVar[bool] = True + def __init__( self, in_doc: InputDocument, @@ -75,6 +82,10 @@ def load_page(self, page_no: int) -> PdfPageBackend: def page_count(self) -> int: pass + def iter_pages(self) -> Iterator[PdfPageBackend]: + for page_index in range(self.page_count()): + yield self.load_page(page_index) + @classmethod def supported_formats(cls) -> Set[InputFormat]: return {InputFormat.PDF} diff --git a/docling/backend/pypdfium2_backend.py b/docling/backend/pypdfium2_backend.py index 25b7010d1d..8f4f95841f 100644 --- a/docling/backend/pypdfium2_backend.py +++ b/docling/backend/pypdfium2_backend.py @@ -116,6 +116,7 @@ def __init__( page_no: int, ): super().__init__() + self._page_no = page_no # Note: lock applied by the caller self.valid = True # No better way to tell from pypdfium. self._ppage: pdfium.PdfPage | None = None @@ -132,6 +133,10 @@ def __init__( def is_valid(self) -> bool: return self.valid + @property + def page_no(self) -> int: + return self._page_no + 1 + def _require_page(self) -> pdfium.PdfPage: assert self._ppage is not None, "Page backend was unloaded." return self._ppage diff --git a/docling/cli/main.py b/docling/cli/main.py index 3d8ea390bf..bdae2ac66e 100644 --- a/docling/cli/main.py +++ b/docling/cli/main.py @@ -39,7 +39,10 @@ from pydantic import TypeAdapter from rich.console import Console -from docling.backend.docling_parse_backend import DoclingParseDocumentBackend +from docling.backend.docling_parse_backend import ( + DoclingParseDocumentBackend, + ThreadedDoclingParseDocumentBackend, +) from docling.backend.image_backend import ImageDocumentBackend from docling.backend.mets_gbs_backend import MetsGbsDocumentBackend from docling.backend.pdf_backend import PdfDocumentBackend @@ -71,7 +74,11 @@ WHISPER_TURBO_NATIVE, AsrModelType, ) -from docling.datamodel.backend_options import LatexBackendOptions, PdfBackendOptions +from docling.datamodel.backend_options import ( + LatexBackendOptions, + PdfBackendOptions, + ThreadedDoclingParseBackendOptions, +) from docling.datamodel.base_models import ( ConversionStatus, DoclingComponentType, @@ -623,6 +630,16 @@ def convert( # noqa: C901 ), ] = None, num_threads: Annotated[int, typer.Option(..., help="Number of threads")] = 4, + release_native_memory_every_n_pages: Annotated[ + int, + typer.Option( + ..., + help=( + "Release native parser memory after every N decoded pages when " + "using the threaded docling-parse backend." + ), + ), + ] = 128, device: Annotated[ AcceleratorDevice, typer.Option(..., help="Accelerator device") ] = AcceleratorDevice.AUTO, @@ -762,12 +779,8 @@ def convert( # noqa: C901 ocr_options, TesseractOcrOptions | TesseractCliOcrOptions ): ocr_options.psm = psm - accelerator_options = AcceleratorOptions(num_threads=num_threads, device=device) - - # pipeline_options: PaginatedPipelineOptions pipeline_options: PipelineOptions - format_options: dict[InputFormat, FormatOption] = {} pdf_backend_options: PdfBackendOptions | None = PdfBackendOptions( password=pdf_password @@ -791,9 +804,7 @@ def convert( # noqa: C901 if isinstance( pipeline_options.table_structure_options, TableStructureOptions ): - pipeline_options.table_structure_options.do_cell_matching = ( - True # do_cell_matching - ) + pipeline_options.table_structure_options.do_cell_matching = True pipeline_options.table_structure_options.mode = table_mode if _should_generate_export_images( @@ -805,13 +816,19 @@ def convert( # noqa: C901 True # FIXME: to be deprecated in version 3 ) pipeline_options.images_scale = 2 - - # Normalize deprecated backend values pdf_backend = normalize_pdf_backend(pdf_backend) - backend: Type[PdfDocumentBackend] if pdf_backend == PdfBackend.DOCLING_PARSE: backend = DoclingParseDocumentBackend # type: ignore + elif pdf_backend == PdfBackend.THREADED_DOCLING_PARSE: + backend = ThreadedDoclingParseDocumentBackend # type: ignore + pdf_backend_options = ThreadedDoclingParseBackendOptions( + password=pdf_password, + parser_threads=num_threads, + release_native_memory_every_n_pages=( + release_native_memory_every_n_pages + ), + ) elif pdf_backend == PdfBackend.PYPDFIUM2: backend = PyPdfiumDocumentBackend # type: ignore else: @@ -822,16 +839,12 @@ def convert( # noqa: C901 backend=backend, # pdf_backend backend_options=pdf_backend_options, ) - - # METS GBS options mets_gbs_options = pipeline_options.model_copy() mets_gbs_options.do_ocr = False mets_gbs_format_option = PdfFormatOption( pipeline_options=mets_gbs_options, backend=MetsGbsDocumentBackend, ) - - # SimplePipeline options simple_format_option = ConvertPipelineOptions( do_picture_description=enrich_picture_description, do_picture_classification=enrich_picture_classes, @@ -839,8 +852,6 @@ def convert( # noqa: C901 ) if artifacts_path is not None: simple_format_option.artifacts_path = artifacts_path - - # Use image-native backend for IMAGE to avoid pypdfium2 locking image_format_option = PdfFormatOption( pipeline_options=pipeline_options, backend=ImageDocumentBackend, diff --git a/docling/datamodel/backend_options.py b/docling/datamodel/backend_options.py index f47df5211b..daf4cee687 100644 --- a/docling/datamodel/backend_options.py +++ b/docling/datamodel/backend_options.py @@ -143,6 +143,29 @@ class PdfBackendOptions(BaseBackendOptions): password: Optional[SecretStr] = None +class ThreadedDoclingParseBackendOptions(PdfBackendOptions): + """Options specific to the threaded docling-parse backend.""" + + kind: Literal["threaded-docling-parse"] = Field( + "threaded-docling-parse", exclude=True, repr=False + ) + parser_threads: Optional[PositiveInt] = Field( + None, + description=( + "Number of parser threads to use for the threaded docling-parse backend. " + "If unset, the backend falls back to global accelerator thread settings." + ), + ) + release_native_memory_every_n_pages: conint(ge=0) = Field( + 128, + description=( + "Release native parser memory after every N decoded pages in the " + "threaded docling-parse backend. Set to 0 to disable native-memory " + "release." + ), + ) + + class MetsGbsBackendOptions(PdfBackendOptions): """Options specific to the METS-GBS document backend.""" @@ -250,6 +273,7 @@ class XBRLBackendOptions(BaseBackendOptions): HTMLBackendOptions, MarkdownBackendOptions, PdfBackendOptions, + ThreadedDoclingParseBackendOptions, MetsGbsBackendOptions, MsExcelBackendOptions, LatexBackendOptions, diff --git a/docling/datamodel/pipeline_options.py b/docling/datamodel/pipeline_options.py index 14379873c3..024b982b43 100644 --- a/docling/datamodel/pipeline_options.py +++ b/docling/datamodel/pipeline_options.py @@ -1025,6 +1025,8 @@ class PdfBackend(str, Enum): DOCLING_PARSE: Docling Parse backend providing enhanced layout analysis, structure preservation, and advanced table detection. This is the recommended backend for most use cases. + THREADED_DOCLING_PARSE: Threaded Docling Parse backend optimized for + concurrent page parsing in the standard PDF pipeline. DLPARSE_V1: Deprecated. Maps to `DOCLING_PARSE`. DLPARSE_V2: Deprecated. Maps to `DOCLING_PARSE`. DLPARSE_V4: Deprecated. Maps to `DOCLING_PARSE`. @@ -1032,6 +1034,7 @@ class PdfBackend(str, Enum): PYPDFIUM2 = "pypdfium2" DOCLING_PARSE = "docling_parse" + THREADED_DOCLING_PARSE = "threaded_docling_parse" # Deprecated - these map to DOCLING_PARSE DLPARSE_V1 = "dlparse_v1" # deprecated diff --git a/docling/experimental/pipeline/threaded_layout_vlm_pipeline.py b/docling/experimental/pipeline/threaded_layout_vlm_pipeline.py index 9bcb330879..cba372af51 100644 --- a/docling/experimental/pipeline/threaded_layout_vlm_pipeline.py +++ b/docling/experimental/pipeline/threaded_layout_vlm_pipeline.py @@ -20,6 +20,7 @@ from docling_core.types.doc.page import SegmentedPage from docling.backend.abstract_backend import AbstractDocumentBackend +from docling.backend.docling_parse_backend import ThreadedDoclingParseDocumentBackend from docling.backend.pdf_backend import PdfDocumentBackend from docling.datamodel.base_models import ConversionStatus, Page from docling.datamodel.document import ConversionResult @@ -52,6 +53,17 @@ _log = logging.getLogger(__name__) +def _raise_if_unsupported_threaded_backend( + backend: AbstractDocumentBackend, pipeline_name: str +) -> None: + if isinstance(backend, ThreadedDoclingParseDocumentBackend): + raise RuntimeError( + f"{pipeline_name} does not support ThreadedDoclingParseDocumentBackend yet. " + "It still requires ordered/random page access via load_page() and cannot " + "consume iterator-only or out-of-order page delivery. Use StandardPdfPipeline instead." + ) + + class ThreadedLayoutVlmPipeline(BasePipeline): """Two-stage threaded pipeline: Layout Model → VLM Model.""" @@ -225,9 +237,10 @@ def _create_run_ctx(self) -> RunContext: def _build_document(self, conv_res: ConversionResult) -> ConversionResult: """Build document using threaded layout+VLM pipeline.""" - run_id = next(self._run_seq) assert isinstance(conv_res.input._backend, PdfDocumentBackend) backend = conv_res.input._backend + _raise_if_unsupported_threaded_backend(backend, self.__class__.__name__) + run_id = next(self._run_seq) # Initialize pages start_page, end_page = conv_res.input.limits.page_range diff --git a/docling/pipeline/extraction_vlm_pipeline.py b/docling/pipeline/extraction_vlm_pipeline.py index e21985301e..a9b3f8cc83 100644 --- a/docling/pipeline/extraction_vlm_pipeline.py +++ b/docling/pipeline/extraction_vlm_pipeline.py @@ -7,6 +7,7 @@ from pydantic import BaseModel from docling.backend.abstract_backend import PaginatedDocumentBackend +from docling.backend.docling_parse_backend import ThreadedDoclingParseDocumentBackend from docling.backend.pdf_backend import PdfDocumentBackend from docling.datamodel.base_models import ConversionStatus, ErrorItem, VlmStopReason from docling.datamodel.document import InputDocument @@ -29,6 +30,17 @@ _log = logging.getLogger(__name__) +def _raise_if_unsupported_threaded_backend( + backend: PaginatedDocumentBackend, pipeline_name: str +) -> None: + if isinstance(backend, ThreadedDoclingParseDocumentBackend): + raise RuntimeError( + f"{pipeline_name} does not support ThreadedDoclingParseDocumentBackend yet. " + "It still requires ordered/random page access via load_page() and cannot " + "consume iterator-only or out-of-order page delivery. Use StandardPdfPipeline instead." + ) + + class ExtractionVlmPipeline(BaseExtractionPipeline): def __init__(self, pipeline_options: VlmExtractionPipelineOptions): super().__init__(pipeline_options) @@ -50,6 +62,10 @@ def _extract_data( template: Optional[ExtractionTemplateType] = None, ) -> ExtractionResult: """Extract data using the VLM model.""" + backend = ext_res.input._backend + if isinstance(backend, PdfDocumentBackend): + _raise_if_unsupported_threaded_backend(backend, self.__class__.__name__) + try: # Get images from input document using the backend images = self._get_images_from_input(ext_res.input) diff --git a/docling/pipeline/standard_pdf_pipeline.py b/docling/pipeline/standard_pdf_pipeline.py index f567a9e370..d69cbfa777 100644 --- a/docling/pipeline/standard_pdf_pipeline.py +++ b/docling/pipeline/standard_pdf_pipeline.py @@ -23,7 +23,7 @@ from collections import defaultdict, deque from dataclasses import dataclass, field from pathlib import Path -from typing import Any, Callable, Iterable, List, Optional, Sequence, Tuple, cast +from typing import Any, Callable, Iterable, Sequence, cast import numpy as np from docling_core.types.doc import ( @@ -36,7 +36,7 @@ ) from docling.backend.abstract_backend import AbstractDocumentBackend -from docling.backend.pdf_backend import PdfDocumentBackend +from docling.backend.pdf_backend import PdfDocumentBackend, PdfPageBackend from docling.datamodel.base_models import ( AssembledUnit, ConversionStatus, @@ -94,8 +94,8 @@ class ThreadedItem: class ProcessingResult: """Aggregated outcome of a pipeline run.""" - pages: List[Page] = field(default_factory=list) - failed_pages: List[Tuple[int, Exception]] = field(default_factory=list) + pages: list[Page] = field(default_factory=list) + failed_pages: list[tuple[int, Exception]] = field(default_factory=list) total_expected: int = 0 @property @@ -150,7 +150,7 @@ def put(self, item: ThreadedItem, timeout: float | None = None) -> bool: return True # ------------------------------------------------------------ get_batch() - def get_batch(self, size: int, timeout: float | None = None) -> List[ThreadedItem]: + def get_batch(self, size: int, timeout: float | None = None) -> list[ThreadedItem]: """Return up to *size* items. Blocks until ≥1 item present or queue closed/timeout.""" with self._not_empty: start = time.monotonic() @@ -162,7 +162,7 @@ def get_batch(self, size: int, timeout: float | None = None) -> List[ThreadedIte self._not_empty.wait(remaining) else: self._not_empty.wait() - batch: List[ThreadedItem] = [] + batch: list[ThreadedItem] = [] while self._items and len(batch) < size: batch.append(self._items.popleft()) if batch: @@ -229,7 +229,7 @@ def stop(self) -> None: self._running = False self.input_queue.close() if self._thread is not None: - # Give thread 2s to finish naturally before abandoning + # Give thread 15s to finish naturally before abandoning self._thread.join(timeout=15.0) if self._thread.is_alive(): _log.warning( @@ -289,7 +289,7 @@ def _process_batch(self, batch: Sequence[ThreadedItem]) -> list[ThreadedItem]: result.extend(items) continue - pages: List[Page] = [payload for _, payload in pages_with_payloads] + pages: list[Page] = [payload for _, payload in pages_with_payloads] if _log.isEnabledFor(logging.DEBUG): _t_start = time.time() _t_mono = time.monotonic() @@ -338,7 +338,7 @@ def _emit(self, items: Iterable[ThreadedItem]) -> None: class PreprocessThreadedStage(ThreadedPipelineStage): - """Pipeline stage that lazily loads PDF backends just-in-time.""" + """Pipeline stage that validates pre-attached backends and runs preprocessing.""" def __init__( self, @@ -378,35 +378,48 @@ def _process_batch(self, batch: Sequence[ThreadedItem]) -> list[ThreadedItem]: if not good: result.extend(items) continue + + # Validate backends before the model call so that invalid-page + # items are emitted exactly once, even if the model later raises. + invalid: list[ThreadedItem] = [] + valid: list[tuple[ThreadedItem, Page]] = [] + for it in good: + page = it.payload + if page is None: + it.is_failed = True + it.error = RuntimeError("Page payload is None") + invalid.append(it) + elif page._backend is None: + it.is_failed = True + it.error = RuntimeError( + "Page backend must be attached before preprocess" + ) + invalid.append(it) + elif not page._backend.is_valid(): + it.is_failed = True + it.error = RuntimeError(f"Page {page.page_no} failed to parse.") + invalid.append(it) + else: + valid.append((it, page)) + + result.extend(invalid) + + if not valid: + continue + try: if _log.isEnabledFor(logging.DEBUG): _t_start = time.time() _t_mono = time.monotonic() - pages_with_payloads: list[tuple[ThreadedItem, Page]] = [] - for it in good: - page = it.payload - if page is None: - raise RuntimeError("Page payload is None") - if page._backend is None: - backend = it.conv_res.input._backend - assert isinstance(backend, PdfDocumentBackend), ( - "Threaded pipeline only supports PdfDocumentBackend." - ) - page_backend = backend.load_page(page.page_no - 1) - page._backend = page_backend - if page_backend.is_valid(): - page.size = page_backend.get_size() - pages_with_payloads.append((it, page)) - - pages = [payload for _, payload in pages_with_payloads] + pages = [page for _, page in valid] processed_pages = list( - self.model(good[0].conv_res, pages) # type: ignore[arg-type] + self.model(valid[0][0].conv_res, pages) # type: ignore[arg-type] ) if _log.isEnabledFor(logging.DEBUG): _log.debug( "PIPELINE_PROFILING Stage preprocess: run_id=%d pages=%s start=%.3f end=%.3f duration=%.3fs", rid, - [it.page_no for it in good], + [it.page_no for it, _ in valid], _t_start, time.time(), time.monotonic() - _t_mono, @@ -420,23 +433,22 @@ def _process_batch(self, batch: Sequence[ThreadedItem]) -> list[ThreadedItem]: ThreadedItem( payload=processed_page, run_id=rid, - page_no=good[idx].page_no, - conv_res=good[idx].conv_res, + page_no=valid[idx][0].page_no, + conv_res=valid[idx][0].conv_res, ) ) except Exception as exc: - page_numbers = [it.page_no for it in good] _log.error( "Stage preprocess failed for run %d, pages %s: %s", rid, - page_numbers, + [it.page_no for it, _ in valid], exc, - exc_info=False, # Put to True if you want detailed exception info + exc_info=False, ) - for it in good: + for it, _ in valid: it.is_failed = True it.error = exc - result.extend(items) + result.extend(it for it, _ in valid) return result @@ -462,6 +474,7 @@ def __init__(self, pipeline_options: ThreadedPdfPipelineOptions) -> None: super().__init__(pipeline_options) self.pipeline_options: ThreadedPdfPipelineOptions = pipeline_options self._run_seq = itertools.count(1) # deterministic, monotonic run ids + self._page_sizes_by_no: dict[int, Size] = {} # initialise heavy models once self._init_models() @@ -625,41 +638,104 @@ def _create_run_ctx(self) -> RunContext: ) # --------------------------------------------------------------------- build + def _iter_requested_page_backends( + self, backend: PdfDocumentBackend, expected_page_nos: list[int] + ) -> Iterable[PdfPageBackend]: + if backend.supports_random_page_access: + for page_no in expected_page_nos: + yield backend.load_page(page_no - 1) + return + + expected_page_no_set = set(expected_page_nos) + for page_backend in backend.iter_pages(): + if page_backend.page_no in expected_page_no_set: + yield page_backend + + def _get_expected_page_nos(self, conv_res: ConversionResult) -> list[int]: + start_page, end_page = conv_res.input.limits.page_range + return list( + range( + max(1, start_page), + min(conv_res.input.page_count, end_page) + 1, + ) + ) + def _build_document(self, conv_res: ConversionResult) -> ConversionResult: - """Stream-build the document while interleaving producer and consumer work. + """Stream-build the document with a dedicated producer thread. Note: If a worker thread gets stuck in a blocking call (model inference or PDF backend - load_page/get_size), that thread will be abandoned after a brief wait (15s) during cleanup. + iter_pages/get_size), that thread will be abandoned after a brief wait (15s) during cleanup. The thread continues running until the blocking call completes, potentially holding resources (e.g., pypdfium2_lock). """ + self._page_sizes_by_no = {} run_id = next(self._run_seq) assert isinstance(conv_res.input._backend, PdfDocumentBackend) + backend = conv_res.input._backend - # Collect page placeholders; backends are loaded lazily in preprocess stage - start_page, end_page = conv_res.input.limits.page_range - pages: list[Page] = [] - for i in range(conv_res.input.page_count): - if start_page - 1 <= i <= end_page - 1: - page = Page(page_no=i + 1) - conv_res.pages.append(page) - pages.append(page) - - if not pages: + expected_page_nos = self._get_expected_page_nos(conv_res) + if not expected_page_nos: conv_res.status = ConversionStatus.FAILURE return conv_res - total_pages: int = len(pages) + page_by_no: dict[int, Page] = {} + for page_no in expected_page_nos: + page = Page(page_no=page_no) + conv_res.pages.append(page) + page_by_no[page_no] = page + + total_pages: int = len(expected_page_nos) ctx: RunContext = self._create_run_ctx() for st in ctx.stages: st.start() proc = ProcessingResult(total_expected=total_pages) - fed_idx: int = 0 # number of pages successfully queued batch_size: int = 32 # drain chunk start_time = time.monotonic() timeout_exceeded = False - input_queue_closed = False + producer_error: list[Exception] = [] + + def _completed_page_nos() -> set[int]: + failed_page_nos = { + page_no for page_no, _ in proc.failed_pages if page_no > 0 + } + return {page.page_no for page in proc.pages} | failed_page_nos + + def _produce_pages() -> None: + try: + for page_backend in self._iter_requested_page_backends( + backend, expected_page_nos + ): + page = page_by_no.get(page_backend.page_no) + if page is None: + continue + page._backend = page_backend + try: + page.size = page_backend.get_size() + self._page_sizes_by_no[page.page_no] = page.size + except Exception: + if page_backend.is_valid(): + raise + if not ctx.first_stage.input_queue.put( + ThreadedItem( + payload=page, + run_id=run_id, + page_no=page.page_no, + conv_res=conv_res, + ) + ): + break + except Exception as exc: + producer_error.append(exc) + _log.error("Producer failed for run %d: %s", run_id, exc, exc_info=True) + finally: + ctx.first_stage.input_queue.close() + + producer_thread = threading.Thread( + target=_produce_pages, name=f"PageProducer-{run_id}", daemon=False + ) + producer_thread.start() + try: while proc.success_count + proc.failure_count < total_pages: # Check timeout @@ -675,33 +751,11 @@ def _build_document(self, conv_res: ConversionResult) -> ConversionResult: ) timeout_exceeded = True ctx.timed_out_run_ids.add(run_id) - if not input_queue_closed: - ctx.first_stage.input_queue.close() - input_queue_closed = True + ctx.first_stage.input_queue.close() # Break immediately - don't wait for in-flight work break - # 1) feed - try to enqueue until the first queue is full - if not input_queue_closed: - while fed_idx < total_pages: - ok = ctx.first_stage.input_queue.put( - ThreadedItem( - payload=pages[fed_idx], - run_id=run_id, - page_no=pages[fed_idx].page_no, - conv_res=conv_res, - ), - timeout=0.0, # non-blocking try-put - ) - if ok: - fed_idx += 1 - if fed_idx == total_pages: - ctx.first_stage.input_queue.close() - input_queue_closed = True - else: # queue full - switch to draining - break - - # 2) drain - pull whatever is ready from the output side + # Drain - pull whatever is ready from the output side out_batch = ctx.output_queue.get_batch(batch_size, timeout=0.05) for itm in out_batch: if itm.run_id != run_id: @@ -714,29 +768,43 @@ def _build_document(self, conv_res: ConversionResult) -> ConversionResult: assert itm.payload is not None proc.pages.append(itm.payload) - # 3) failure safety - downstream closed early + # Failure safety - downstream closed early if not out_batch and ctx.output_queue.closed: - missing = total_pages - (proc.success_count + proc.failure_count) - if missing > 0: + missing_page_nos = sorted( + set(expected_page_nos) - _completed_page_nos() + ) + if missing_page_nos: + error = ( + producer_error[0] + if producer_error + else RuntimeError("pipeline terminated early") + ) proc.failed_pages.extend( - [(-1, RuntimeError("pipeline terminated early"))] * missing + [(page_no, error) for page_no in missing_page_nos] ) break # Mark remaining pages as failed if timeout occurred if timeout_exceeded: - completed_page_nos = {p.page_no for p in proc.pages} | { - fp for fp, _ in proc.failed_pages - } - for page in pages[fed_idx:]: - if page.page_no not in completed_page_nos: - proc.failed_pages.append( - (page.page_no, RuntimeError("document timeout exceeded")) - ) + missing_page_nos = sorted( + set(expected_page_nos) - _completed_page_nos() + ) + proc.failed_pages.extend( + [ + (page_no, RuntimeError("document timeout exceeded")) + for page_no in missing_page_nos + ] + ) finally: for st in ctx.stages: st.stop() ctx.output_queue.close() + producer_thread.join(timeout=15.0) + if producer_thread.is_alive(): + _log.warning( + "Producer thread for run %d did not terminate within 15s and will be abandoned.", + run_id, + ) self._integrate_results(conv_res, proc, timeout_exceeded=timeout_exceeded) return conv_res @@ -877,11 +945,15 @@ def _assemble_document(self, conv_res: ConversionResult) -> ConversionResult: # Add failed pages to DoclingDocument.pages to preserve page numbering # This ensures page break markers are generated for skipped/failed pages - self._add_failed_pages_to_document(conv_res) + self._add_failed_pages_to_document( + conv_res, expected_page_nos=self._get_expected_page_nos(conv_res) + ) return conv_res - def _add_failed_pages_to_document(self, conv_res: ConversionResult) -> None: + def _add_failed_pages_to_document( + self, conv_res: ConversionResult, expected_page_nos: list[int] + ) -> None: """Add failed/skipped pages to DoclingDocument.pages. This ensures that page break markers are correctly generated for documents @@ -894,42 +966,15 @@ def _add_failed_pages_to_document(self, conv_res: ConversionResult) -> None: if conv_res.document is None: return - # Determine which pages were expected to be processed - start_page, end_page = conv_res.input.limits.page_range - expected_page_nos = set( - range( - max(1, start_page), - min(conv_res.input.page_count, end_page) + 1, - ) - ) - # Find pages that are missing from the document existing_page_nos = set(conv_res.document.pages.keys()) - missing_page_nos = expected_page_nos - existing_page_nos + missing_page_nos = set(expected_page_nos) - existing_page_nos if not missing_page_nos: return - # Try to get size information from the backend for missing pages - backend = conv_res.input._backend for page_no in sorted(missing_page_nos): - try: - # Attempt to get page size from backend - if isinstance(backend, PdfDocumentBackend): - page_backend = backend.load_page(page_no - 1) - try: - if page_backend.is_valid(): - size = page_backend.get_size() - else: - # Use a default size if page backend is invalid - size = Size(width=0.0, height=0.0) - finally: - page_backend.unload() - else: - size = Size(width=0.0, height=0.0) - except Exception: - # If we can't get size, use default - size = Size(width=0.0, height=0.0) + size = self._page_sizes_by_no.get(page_no, Size(width=0.0, height=0.0)) # Add the failed page to the document's pages dict conv_res.document.pages[page_no] = PageItem( @@ -957,6 +1002,7 @@ def _determine_status(self, conv_res: ConversionResult) -> ConversionStatus: return conv_res.status def _unload(self, conv_res: ConversionResult) -> None: + self._page_sizes_by_no = {} for p in conv_res.pages: if p._backend is not None: p._backend.unload() diff --git a/docling/pipeline/vlm_pipeline.py b/docling/pipeline/vlm_pipeline.py index 3906959b40..4bdc6dd7d5 100644 --- a/docling/pipeline/vlm_pipeline.py +++ b/docling/pipeline/vlm_pipeline.py @@ -26,6 +26,7 @@ AbstractDocumentBackend, DeclarativeDocumentBackend, ) +from docling.backend.docling_parse_backend import ThreadedDoclingParseDocumentBackend from docling.backend.html_backend import HTMLDocumentBackend from docling.backend.md_backend import MarkdownDocumentBackend from docling.backend.pdf_backend import PdfDocumentBackend @@ -66,6 +67,17 @@ _DOCLANG_OPEN_RE = re.compile(r"]*)?>") +def _raise_if_unsupported_threaded_backend( + backend: AbstractDocumentBackend, pipeline_name: str +) -> None: + if isinstance(backend, ThreadedDoclingParseDocumentBackend): + raise RuntimeError( + f"{pipeline_name} does not support ThreadedDoclingParseDocumentBackend yet. " + "It still requires ordered/random page access via load_page() and cannot " + "consume iterator-only or out-of-order page delivery. Use StandardPdfPipeline instead." + ) + + class VlmPipeline(PaginatedPipeline): def __init__(self, pipeline_options: VlmPipelineOptions): super().__init__(pipeline_options) @@ -195,6 +207,9 @@ def initialize_page(self, conv_res: ConversionResult, page: Page) -> Page: images_scale = self.pipeline_options.images_scale if images_scale is not None: page._default_image_scale = images_scale + _raise_if_unsupported_threaded_backend( + conv_res.input._backend, self.__class__.__name__ + ) page._backend = conv_res.input._backend.load_page(page.page_no - 1) # type: ignore if page._backend is not None and page._backend.is_valid(): page.size = page._backend.get_size() diff --git a/perfs/iterate_pdf_pages.py b/perfs/iterate_pdf_pages.py new file mode 100644 index 0000000000..4b3bad9f79 --- /dev/null +++ b/perfs/iterate_pdf_pages.py @@ -0,0 +1,620 @@ +"""Iterate over PDFs in a directory, load them with +ThreadedDoclingParseDocumentBackend, and extract text cells and page images for +every page.""" + +import argparse +import gc +import json +import logging +import os +import time +from pathlib import Path +from typing import Any + +import psutil + +from docling.backend.docling_parse_backend import ThreadedDoclingParseDocumentBackend +from docling.datamodel.backend_options import ThreadedDoclingParseBackendOptions +from docling.datamodel.base_models import InputFormat +from docling.datamodel.document import InputDocument +from docling.datamodel.settings import DocumentLimits + +_log = logging.getLogger(__name__) + + +_PROC = psutil.Process(os.getpid()) + + +def _memory_metrics_mb() -> dict[str, float]: + """Return available process memory counters in MiB.""" + info = _PROC.memory_info() + metrics = { + "rss_mb": info.rss / (1024 * 1024), + "vms_mb": info.vms / (1024 * 1024), + } + + try: + full_info = _PROC.memory_full_info() + except (psutil.AccessDenied, AttributeError): + return metrics + + if hasattr(full_info, "uss"): + metrics["uss_mb"] = full_info.uss / (1024 * 1024) + if hasattr(full_info, "pss"): + metrics["pss_mb"] = full_info.pss / (1024 * 1024) + + return metrics + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + source_group = parser.add_mutually_exclusive_group(required=True) + source_group.add_argument( + "-i", + "--input-dir", + type=Path, + help="Local directory containing PDF files to process.", + ) + source_group.add_argument( + "-r", + "--repo-id", + help=( + "Hugging Face dataset repo ID. The script downloads the dataset " + "snapshot and iterates over its 'pdf/' subfolder." + ), + ) + parser.add_argument( + "--revision", + default=None, + help="Optional Hugging Face dataset revision, branch, or commit.", + ) + parser.add_argument( + "--mode", + choices=("throughput", "memory"), + default="throughput", + help=( + "Run either a throughput measurement or a memory profiling run. " + "Memory mode writes the JSONL file consumed by plot_memory_metrics.py." + ), + ) + parser.add_argument( + "-o", + "--output-dir", + type=Path, + default=None, + help=( + "Optional output directory. If provided, page images (PNG) and " + "text cells (JSON) are written here, one subdirectory per PDF." + ), + ) + parser.add_argument( + "-s", + "--scale", + type=float, + default=1, + help="Scale factor for rendered page images (default: 1.5).", + ) + parser.add_argument( + "--glob", + default="*.pdf", + help="Glob pattern to match files in input_dir (default: '*.pdf').", + ) + parser.add_argument( + "--cache-file", + type=Path, + default=None, + help=( + "Path to the page-count cache JSON (default: " + "'/.docling_page_counts.json'). Entries are keyed by " + "absolute path and validated against file size and mtime." + ), + ) + parser.add_argument( + "--no-cache", + action="store_true", + help="Disable the page-count cache and always re-parse to count pages.", + ) + parser.add_argument( + "--parser-threads", + type=int, + default=8, + help="Optional number of docling-parse parser threads.", + ) + parser.add_argument( + "--release-native-memory-every-n-pages", + type=int, + default=128, + help="Release native parser memory after every N decoded pages.", + ) + parser.add_argument( + "--max-pages", + type=int, + default=None, + help="Optional global limit for the total number of pages to iterate.", + ) + parser.add_argument( + "--metrics-file", + type=Path, + default=Path("memory-metrics.jsonl"), + help=( + "JSONL file for memory mode. This remains compatible with " + "plot_memory_metrics.py." + ), + ) + parser.add_argument( + "--report-file", + type=Path, + default=None, + help=( + "Optional JSON summary report path. Defaults to " + "'iterate-pdf-pages--report.json'." + ), + ) + return parser.parse_args() + + +def _default_report_file(mode: str) -> Path: + return Path(f"iterate-pdf-pages-{mode}-report.json") + + +def _make_backend_options( + parser_threads: int | None, + release_native_memory_every_n_pages: int, +) -> ThreadedDoclingParseBackendOptions: + return ThreadedDoclingParseBackendOptions( + parser_threads=parser_threads, + release_native_memory_every_n_pages=release_native_memory_every_n_pages, + ) + + +def _resolve_input_dir(args: argparse.Namespace) -> Path: + if args.input_dir is not None: + return args.input_dir + + try: + from huggingface_hub import snapshot_download + except ImportError as exc: + raise SystemExit( + "Hugging Face dataset support requires 'huggingface_hub' to be installed." + ) from exc + + assert args.repo_id is not None + snapshot_dir = Path( + snapshot_download( + repo_id=args.repo_id, + repo_type="dataset", + revision=args.revision, + allow_patterns="pdf/**", + ) + ) + pdf_dir = snapshot_dir / "pdf" + if not pdf_dir.is_dir(): + raise SystemExit( + f"Dataset '{args.repo_id}' does not contain a 'pdf/' subfolder." + ) + return pdf_dir + + +def _count_pages( + pdf_path: Path, + parser_threads: int | None, + release_native_memory_every_n_pages: int, +) -> int: + in_doc = InputDocument( + path_or_stream=pdf_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + backend_options=_make_backend_options( + parser_threads, + release_native_memory_every_n_pages, + ), + ) + doc_backend: ThreadedDoclingParseDocumentBackend = in_doc._backend + try: + if not doc_backend.is_valid(): + return 0 + return doc_backend.page_count() + finally: + doc_backend.unload() + + +def _load_cache(cache_file: Path) -> dict[str, dict]: + if not cache_file.is_file(): + return {} + try: + return json.loads(cache_file.read_text(encoding="utf-8")) + except (OSError, json.JSONDecodeError) as e: + _log.warning("Ignoring unreadable cache %s: %s", cache_file, e) + return {} + + +def _save_cache(cache_file: Path, cache: dict[str, dict]) -> None: + try: + cache_file.parent.mkdir(parents=True, exist_ok=True) + cache_file.write_text( + json.dumps(cache, indent=2, sort_keys=True), + encoding="utf-8", + ) + except OSError as e: + _log.warning("Failed to write cache %s: %s", cache_file, e) + + +def _append_metrics(metrics_file: Path | None, payload: dict[str, Any]) -> None: + if metrics_file is None: + return + + try: + metrics_file.parent.mkdir(parents=True, exist_ok=True) + with metrics_file.open("a", encoding="utf-8") as fp: + fp.write(json.dumps(payload, sort_keys=True)) + fp.write("\n") + except OSError as e: + _log.warning("Failed to append metrics to %s: %s", metrics_file, e) + + +def _write_report(report_file: Path, payload: dict[str, Any]) -> None: + try: + report_file.parent.mkdir(parents=True, exist_ok=True) + report_file.write_text( + json.dumps(payload, indent=2, sort_keys=True), + encoding="utf-8", + ) + except OSError as e: + _log.warning("Failed to write report %s: %s", report_file, e) + + +def collect_pdfs_by_page_count( + pdfs: list[Path], + cache_file: Path | None, + parser_threads: int | None, + release_native_memory_every_n_pages: int, +) -> list[tuple[Path, int]]: + """Return [(pdf_path, page_count), ...] sorted by descending page count, + using cache_file (if given) to skip re-parsing unchanged files.""" + cache: dict[str, dict] = _load_cache(cache_file) if cache_file else {} + results: list[tuple[Path, int]] = [] + cache_dirty = False + + for pdf_path in pdfs: + abs_key = str(pdf_path.resolve()) + stat = pdf_path.stat() + entry = cache.get(abs_key) + if ( + entry is not None + and entry.get("size") == stat.st_size + and entry.get("mtime_ns") == stat.st_mtime_ns + and isinstance(entry.get("page_count"), int) + ): + page_count = entry["page_count"] + _log.info(" %s: %d page(s) [cached]", pdf_path.name, page_count) + else: + _log.info(" %s: counting pages...", pdf_path.name) + try: + page_count = _count_pages( + pdf_path, + parser_threads, + release_native_memory_every_n_pages, + ) + except Exception: + _log.exception("Failed to count pages for %s", pdf_path.name) + continue + _log.info(" %s: %d page(s)", pdf_path.name, page_count) + if cache_file is not None: + cache[abs_key] = { + "size": stat.st_size, + "mtime_ns": stat.st_mtime_ns, + "page_count": page_count, + } + cache_dirty = True + + results.append((pdf_path, page_count)) + + if cache_file is not None and cache_dirty: + _save_cache(cache_file, cache) + + results.sort(key=lambda item: (-item[1], item[0].name)) + return results + + +def process_pdf( + pdf_path: Path, + output_dir: Path | None, + scale: float, + parser_threads: int | None, + release_native_memory_every_n_pages: int, + processed_pages: int, + target_total_pages: int, + max_pages: int | None, + mode: str, + metrics_file: Path | None, + run_start_time: float, +) -> tuple[int, int]: + _log.info("Processing %s", pdf_path.name) + + limits: DocumentLimits | None = None + if max_pages is not None: + remaining_pages = max_pages - processed_pages + if remaining_pages <= 0: + return processed_pages, 0 + limits = DocumentLimits(page_range=(1, remaining_pages)) + + in_doc = InputDocument( + path_or_stream=pdf_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + backend_options=_make_backend_options( + parser_threads, + release_native_memory_every_n_pages, + ), + limits=limits, + ) + doc_backend: ThreadedDoclingParseDocumentBackend = in_doc._backend + + try: + if not doc_backend.is_valid(): + _log.warning("Skipping invalid document: %s", pdf_path.name) + return processed_pages, 0 + + pdf_out_dir: Path | None = None + if output_dir is not None: + pdf_out_dir = output_dir / pdf_path.stem + pdf_out_dir.mkdir(parents=True, exist_ok=True) + + num_pages = doc_backend.page_count() + failed_pages = 0 + _log.info(" %d page(s)", num_pages) + + for page_backend in doc_backend.iter_pages(): + page_no = page_backend.page_no + processed_pages += 1 + page_success = False + memory_before: dict[str, float] | None = None + rss_before: float | None = None + try: + if mode == "memory": + memory_before = _memory_metrics_mb() + rss_before = memory_before["rss_mb"] + + text_cells = list(page_backend.get_text_cells()) + page_image = page_backend.get_page_image(scale=scale) + page_success = True + + if mode == "memory": + assert memory_before is not None + assert rss_before is not None + memory_loaded = _memory_metrics_mb() + rss_loaded = memory_loaded["rss_mb"] + _log.info( + " page %d/%d: %d text cell(s), image size=%s, " + "total page %d/%d, " + "RSS before=%.1f MiB, loaded=%.1f MiB (+%.1f)", + page_no, + num_pages, + len(text_cells), + page_image.size, + processed_pages, + target_total_pages, + rss_before, + rss_loaded, + rss_loaded - rss_before, + ) + _append_metrics( + metrics_file, + { + "doc_page_count": num_pages, + "elapsed_seconds": time.monotonic() - run_start_time, + "event": "loaded", + "image_height": page_image.size[1], + "image_width": page_image.size[0], + "page_no": page_no, + "pdf": pdf_path.name, + "pdf_path": str(pdf_path), + "memory_before_mb": memory_before, + "memory_loaded_mb": memory_loaded, + "rss_before_mb": rss_before, + "rss_loaded_delta_mb": rss_loaded - rss_before, + "rss_loaded_mb": rss_loaded, + "success": True, + "target_total_pages": target_total_pages, + "text_cell_count": len(text_cells), + "total_page_no": processed_pages, + }, + ) + else: + _log.info( + " page %d/%d: %d text cell(s), image size=%s, total page %d/%d", + page_no, + num_pages, + len(text_cells), + page_image.size, + processed_pages, + target_total_pages, + ) + + """ + if pdf_out_dir is not None: + image_path = pdf_out_dir / f"page_{page_no:04d}.png" + page_image.save(image_path) + + cells_path = pdf_out_dir / f"page_{page_no:04d}_cells.json" + cells_payload = [cell.model_dump(mode="json") for cell in text_cells] + cells_path.write_text(json.dumps(cells_payload, indent=2)) + """ + except Exception: + failed_pages += 1 + _log.exception( + " page %d/%d: failed to parse/render", page_no, num_pages + ) + finally: + page_backend.unload() + if mode == "memory": + del page_backend + gc.collect() + assert memory_before is not None + assert rss_before is not None + memory_after = _memory_metrics_mb() + rss_after = memory_after["rss_mb"] + _append_metrics( + metrics_file, + { + "doc_page_count": num_pages, + "elapsed_seconds": time.monotonic() - run_start_time, + "event": "after_unload", + "page_no": page_no, + "pdf": pdf_path.name, + "pdf_path": str(pdf_path), + "memory_after_mb": memory_after, + "memory_before_mb": memory_before, + "rss_after_delta_mb": rss_after - rss_before, + "rss_after_mb": rss_after, + "rss_before_mb": rss_before, + "success": page_success, + "target_total_pages": target_total_pages, + "total_page_no": processed_pages, + }, + ) + _log.info( + " page %d/%d: total page %d/%d, RSS after unload=%.1f MiB " + "(delta vs before=%+.1f)", + page_no, + num_pages, + processed_pages, + target_total_pages, + rss_after, + rss_after - rss_before, + ) + + if failed_pages: + _log.warning( + "Completed %s with %d failed page(s) out of %d.", + pdf_path.name, + failed_pages, + num_pages, + ) + return processed_pages, failed_pages + finally: + doc_backend.unload() + + +def main() -> None: + logging.basicConfig( + level=logging.INFO, + format="%(asctime)s %(levelname)s %(message)s", + ) + run_start_time = time.monotonic() + args = parse_args() + input_dir = _resolve_input_dir(args) + + if not input_dir.is_dir(): + raise SystemExit(f"Input directory does not exist: {input_dir}") + + if args.output_dir is not None: + args.output_dir.mkdir(parents=True, exist_ok=True) + + metrics_file: Path | None = args.metrics_file if args.mode == "memory" else None + if metrics_file is not None: + metrics_file.parent.mkdir(parents=True, exist_ok=True) + metrics_file.write_text("", encoding="utf-8") + _log.info("Writing per-page metrics to %s", metrics_file) + + report_file = args.report_file or _default_report_file(args.mode) + + pdfs = sorted(input_dir.glob(args.glob)) + if not pdfs: + _log.warning("No files matched '%s' in %s", args.glob, input_dir) + return + + _log.info("Found %d PDF file(s) in %s", len(pdfs), input_dir) + _log.info("Running in %s mode", args.mode) + + if args.no_cache: + cache_file: Path | None = None + else: + cache_file = ( + args.cache_file + if args.cache_file is not None + else input_dir / ".docling_page_counts.json" + ) + + _log.info("Collecting page counts...") + ordered = collect_pdfs_by_page_count( + pdfs, + cache_file, + args.parser_threads, + args.release_native_memory_every_n_pages, + ) + total_available_pages = sum(page_count for _, page_count in ordered) + target_total_pages = ( + min(total_available_pages, args.max_pages) + if args.max_pages is not None + else total_available_pages + ) + + _log.info("Processing order (by descending page count):") + for pdf_path, page_count in ordered: + _log.info(" %5d pages %s", page_count, pdf_path.name) + + processed_pages = 0 + failed_pages = 0 + for pdf_path, _ in ordered: + if args.max_pages is not None and processed_pages >= args.max_pages: + _log.info( + "Reached max page limit (%d/%d). Stopping.", + processed_pages, + target_total_pages, + ) + break + try: + processed_pages, pdf_failed_pages = process_pdf( + pdf_path, + args.output_dir, + args.scale, + args.parser_threads, + args.release_native_memory_every_n_pages, + processed_pages=processed_pages, + target_total_pages=target_total_pages, + max_pages=args.max_pages, + mode=args.mode, + metrics_file=metrics_file, + run_start_time=run_start_time, + ) + failed_pages += pdf_failed_pages + except Exception: + _log.exception("Failed to process %s", pdf_path.name) + + elapsed_seconds = time.monotonic() - run_start_time + report = { + "elapsed_seconds": elapsed_seconds, + "failed_pages": failed_pages, + "glob": args.glob, + "input_dir": str(input_dir), + "max_pages": args.max_pages, + "metrics_file": str(metrics_file) if metrics_file is not None else None, + "mode": args.mode, + "output_dir": str(args.output_dir) if args.output_dir is not None else None, + "pages_per_second": ( + processed_pages / elapsed_seconds if elapsed_seconds > 0.0 else 0.0 + ), + "parser_threads": args.parser_threads, + "processed_pages": processed_pages, + "release_native_memory_every_n_pages": args.release_native_memory_every_n_pages, + "repo_id": args.repo_id, + "report_file": str(report_file), + "revision": args.revision, + "scale": args.scale, + "target_total_pages": target_total_pages, + "total_available_pages": total_available_pages, + } + _write_report(report_file, report) + _log.info( + "Processed %d/%d page(s) in %.2fs (%.2f pages/s). Report: %s", + processed_pages, + target_total_pages, + elapsed_seconds, + report["pages_per_second"], + report_file, + ) + + +if __name__ == "__main__": + main() diff --git a/perfs/plot_memory_metrics.py b/perfs/plot_memory_metrics.py new file mode 100644 index 0000000000..eaf6012bbb --- /dev/null +++ b/perfs/plot_memory_metrics.py @@ -0,0 +1,149 @@ +"""Plot process memory metrics collected by iterate_pdf_pages.py.""" + +import argparse +import json +from pathlib import Path +from typing import Any + +MEMORY_KEYS = ("rss_mb", "uss_mb", "pss_mb") + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "metrics_file", + type=Path, + nargs="?", + default=Path("memory-metrics.jsonl"), + help="JSONL metrics file produced by iterate_pdf_pages.py.", + ) + parser.add_argument( + "-o", + "--output", + type=Path, + default=Path("memory-metrics.png"), + help="Output plot path.", + ) + return parser.parse_args() + + +def _empty_series() -> dict[str, list[float]]: + return {key: [] for key in MEMORY_KEYS} + + +def _append_memory_values( + target: dict[str, list[float]], + memory_payload: dict[str, Any] | None, +) -> None: + for key in MEMORY_KEYS: + value = None if memory_payload is None else memory_payload.get(key) + if isinstance(value, int | float): + target[key].append(float(value)) + else: + target[key].append(float("nan")) + + +def load_points( + metrics_file: Path, +) -> tuple[list[int], dict[str, list[float]], dict[str, list[float]], list[int]]: + total_pages: list[int] = [] + loaded_metrics = _empty_series() + after_metrics = _empty_series() + doc_boundaries: list[int] = [] + previous_pdf: str | None = None + + with metrics_file.open(encoding="utf-8") as fp: + for line in fp: + payload = json.loads(line) + event = payload.get("event") + total_page_no = payload.get("total_page_no") + if not isinstance(total_page_no, int): + continue + + if event == "loaded": + memory_loaded = payload.get("memory_loaded_mb") + if isinstance(memory_loaded, dict): + pdf_name = payload.get("pdf") + if ( + isinstance(pdf_name, str) + and previous_pdf is not None + and pdf_name != previous_pdf + ): + doc_boundaries.append(total_page_no) + if isinstance(pdf_name, str): + previous_pdf = pdf_name + total_pages.append(total_page_no) + _append_memory_values(loaded_metrics, memory_loaded) + elif event == "after_unload": + memory_after = payload.get("memory_after_mb") + if isinstance(memory_after, dict): + _append_memory_values(after_metrics, memory_after) + + return total_pages, loaded_metrics, after_metrics, doc_boundaries + + +def main() -> None: + args = parse_args() + if not args.metrics_file.is_file(): + raise SystemExit(f"Metrics file does not exist: {args.metrics_file}") + + try: + import matplotlib.pyplot as plt + except ImportError as exc: + raise SystemExit( + "Plotting requires matplotlib. Install it in the environment first." + ) from exc + + total_pages, loaded_metrics, after_metrics, doc_boundaries = load_points( + args.metrics_file + ) + if not total_pages: + raise SystemExit(f"No plotable data found in {args.metrics_file}") + + point_count = min( + [len(total_pages)] + + [len(values) for values in loaded_metrics.values()] + + [len(values) for values in after_metrics.values()] + ) + x_values = total_pages[:point_count] + + fig, axes = plt.subplots(2, 1, figsize=(12, 10), sharex=True) + plot_specs = [ + (axes[0], loaded_metrics, "Memory at page loaded"), + (axes[1], after_metrics, "Memory after page unload"), + ] + + for ax, metrics, title in plot_specs: + for key in MEMORY_KEYS: + series = metrics[key][:point_count] + if all(value != value for value in series): + continue + ax.plot( + x_values, + series, + label=key.replace("_mb", "").upper(), + linewidth=1.5, + ) + for boundary in doc_boundaries: + ax.axvline( + boundary, + color="black", + linestyle="--", + linewidth=1.0, + alpha=0.8, + ) + ax.set_ylabel("Memory (MiB)") + ax.set_title(title) + ax.grid(True, alpha=0.3) + ax.legend() + + axes[1].set_xlabel("Total page number") + fig.tight_layout() + + args.output.parent.mkdir(parents=True, exist_ok=True) + fig.savefig(args.output, dpi=150) + print(f"Wrote plot to {args.output}") + + +if __name__ == "__main__": + main() diff --git a/pyproject.toml b/pyproject.toml index 3fadb85739..0e3fbb82b7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -98,7 +98,7 @@ format-pdf-pypdfium2 = [ format-pdf-docling = [ 'pypdfium2>=4.30.0,!=4.30.1,<6.0.0', - 'docling-parse>=5.3.2,<6.0.0', + 'docling-parse>=6.2.0,<7.0.0', ] format-pdf = [ @@ -277,6 +277,7 @@ dev = [ "ipywidgets~=8.1", "nbqa~=1.9", "python-semantic-release~=7.32", + "matplotlib>=3.10.9", ] docs = [ diff --git a/tests/test_backend_docling_parse.py b/tests/test_backend_docling_parse.py index 1d5da76801..f1752c9529 100644 --- a/tests/test_backend_docling_parse.py +++ b/tests/test_backend_docling_parse.py @@ -1,13 +1,24 @@ +import sys from pathlib import Path +from typing import Any import pytest +from docling_core.types.doc import CoordOrigin +from PIL import Image, ImageDraw, ImageStat +import docling.backend.docling_parse_backend as docling_parse_backend_module from docling.backend.docling_parse_backend import ( DoclingParseDocumentBackend, DoclingParsePageBackend, + ThreadedDoclingParseDocumentBackend, + ThreadedDoclingParsePageBackend, ) +from docling.backend.pdf_backend import PdfDocumentBackend +from docling.datamodel.backend_options import ThreadedDoclingParseBackendOptions from docling.datamodel.base_models import BoundingBox, InputFormat from docling.datamodel.document import InputDocument +from docling.datamodel.settings import DocumentLimits +from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline @pytest.fixture @@ -91,3 +102,618 @@ def test_num_pages(test_doc_path): # Explicitly clean up resources to prevent race conditions in CI doc_backend.unload() + + +def test_iter_pages_default_contract(test_doc_path): + doc_backend = _get_backend(test_doc_path) + + page_numbers = [] + page_backends = [] + try: + for index, page_backend in enumerate(doc_backend.iter_pages()): + page_numbers.append(page_backend.page_no) + page_backends.append(page_backend) + if index == 2: + break + finally: + for page_backend in page_backends: + page_backend.unload() + doc_backend.unload() + + assert page_numbers == [1, 2, 3] + + +def test_standard_pipeline_default_backend_loads_only_requested_page_range( + test_doc_path, +): + loaded_pages: list[int] = [] + + class CountingDoclingParseDocumentBackend(DoclingParseDocumentBackend): + def load_page( + self, + page_no: int, + create_words: bool = True, + create_textlines: bool = True, + ) -> DoclingParsePageBackend: + loaded_pages.append(page_no + 1) + return super().load_page( + page_no, + create_words=create_words, + create_textlines=create_textlines, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=CountingDoclingParseDocumentBackend, + limits=DocumentLimits(page_range=(2, 2)), + ) + doc_backend = in_doc._backend + assert isinstance(doc_backend, PdfDocumentBackend) + pipeline = StandardPdfPipeline.__new__(StandardPdfPipeline) + page_backends = [] + + try: + page_backends = list( + pipeline._iter_requested_page_backends(doc_backend, expected_page_nos=[2]) + ) + + assert [page_backend.page_no for page_backend in page_backends] == [2] + assert loaded_pages == [2] + assert doc_backend.supports_random_page_access is True + finally: + for page_backend in page_backends: + page_backend.unload() + doc_backend.unload() + + +class _FakeThreadedResult: + def __init__( + self, + *, + page_number: int, + success: bool = True, + page_width: float = 100.0, + page_height: float = 200.0, + ) -> None: + self.page_number = page_number + self.success = success + self.page_width = page_width + self.page_height = page_height + self.cropboxes: list[BoundingBox | None] = [] + self.scales: list[float] = [] + + def get_page(self) -> Any: + raise AssertionError("get_page() is not expected in this test") + + def get_image( + self, + *, + scale: float | None = None, + canvas_size=None, + cropbox: BoundingBox | None = None, + ): + from PIL import Image + + assert canvas_size is None + self.scales.append(1.0 if scale is None else scale) + self.cropboxes.append(cropbox) + width = round(self.page_width if cropbox is None else cropbox.width) + height = round(self.page_height if cropbox is None else cropbox.height) + scaled_width = max(1, round(width * (1.0 if scale is None else scale))) + scaled_height = max(1, round(height * (1.0 if scale is None else scale))) + return Image.new("RGBA", (scaled_width, scaled_height), (255, 255, 255, 255)) + + +class _FakeThreadedParser: + created: "_FakeThreadedParser | None" = None + + def __init__(self, parser_config=None, decode_config=None) -> None: + self.parser_config = parser_config + self.decode_config = decode_config + self.load_calls: list[list[int] | None] = [] + self.unload_calls: list[str] = [] + _FakeThreadedParser.created = self + + def load(self, path_or_stream, password=None, page_numbers=None) -> str: + self.load_calls.append(page_numbers) + return "doc-key" + + def page_count(self, doc_key: str) -> int: + assert doc_key == "doc-key" + return 5 + + def iterate_results(self): + yield _FakeThreadedResult(page_number=3) + yield _FakeThreadedResult(page_number=2) + + def unload(self, doc_key: str) -> bool: + self.unload_calls.append(doc_key) + return True + + +class _FakePdfiumDocument: + def __init__(self, path_or_stream, password=None) -> None: + self.path_or_stream = path_or_stream + self.password = password + + def __len__(self) -> int: + return 5 + + def close(self) -> None: + return None + + +def test_threaded_backend_iterates_requested_pages_and_unloads( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + limits=DocumentLimits(page_range=(2, 3)), + ) + + doc_backend = in_doc._backend + assert isinstance(doc_backend, ThreadedDoclingParseDocumentBackend) + assert doc_backend.page_count() == 5 + + page_numbers = [page_backend.page_no for page_backend in doc_backend.iter_pages()] + assert page_numbers == [3, 2] + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.load_calls == [[2, 3]] + + doc_backend.unload() + assert parser.unload_calls == ["doc-key"] + + +def test_threaded_backend_open_ended_page_range_is_clipped_to_document( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + limits=DocumentLimits(page_range=(2, sys.maxsize)), + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.load_calls == [[2, 3, 4, 5]] + + in_doc._backend.unload() + + +def test_threaded_backend_bounded_page_range_is_clipped_to_document( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + limits=DocumentLimits(page_range=(2, 99)), + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.load_calls == [[2, 3, 4, 5]] + + in_doc._backend.unload() + + +def test_standard_pipeline_threaded_backend_loads_only_requested_page_range( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + limits=DocumentLimits(page_range=(2, 2)), + ) + doc_backend = in_doc._backend + assert isinstance(doc_backend, PdfDocumentBackend) + pipeline = StandardPdfPipeline.__new__(StandardPdfPipeline) + + try: + page_backends = list( + pipeline._iter_requested_page_backends(doc_backend, expected_page_nos=[2]) + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.load_calls == [[2]] + assert [page_backend.page_no for page_backend in page_backends] == [2] + assert doc_backend.supports_random_page_access is False + finally: + doc_backend.unload() + + +def test_threaded_backend_no_page_range_passes_none_without_page_count_probe( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + class _FailingPdfiumDocument: + def __init__(self, path_or_stream, password=None) -> None: + raise AssertionError("page count should not be probed for default ranges") + + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FailingPdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + # no limits → default page_range (1, sys.maxsize) + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.load_calls == [None] + + in_doc._backend.unload() + + +def test_threaded_backend_uses_backend_option_thread_count( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + class _FakeAcceleratorOptions: + def __init__(self) -> None: + self.num_threads = 7 + + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.AcceleratorOptions", + _FakeAcceleratorOptions, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + backend_options=ThreadedDoclingParseBackendOptions(parser_threads=11), + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.parser_config is not None + assert parser.parser_config.threads == 11 + assert parser.decode_config is not None + assert parser.decode_config.materialize_bitmap_bytes is False + assert parser.decode_config.release_native_memory_every_n_pages == 128 + + in_doc._backend.unload() + + +def test_threaded_backend_uses_backend_option_native_memory_release_interval( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + backend_options=ThreadedDoclingParseBackendOptions( + release_native_memory_every_n_pages=64 + ), + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.decode_config is not None + assert parser.decode_config.materialize_bitmap_bytes is False + assert parser.decode_config.release_native_memory_every_n_pages == 64 + + in_doc._backend.unload() + + +def test_threaded_backend_allows_disabling_native_memory_release( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + backend_options=ThreadedDoclingParseBackendOptions( + release_native_memory_every_n_pages=0 + ), + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.decode_config is not None + assert parser.decode_config.materialize_bitmap_bytes is False + assert parser.decode_config.release_native_memory_every_n_pages == 0 + + in_doc._backend.unload() + + +def test_threaded_backend_uses_accelerator_thread_count_when_unset( + test_doc_path, monkeypatch: pytest.MonkeyPatch +): + class _FakeAcceleratorOptions: + def __init__(self) -> None: + self.num_threads = 7 + + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.AcceleratorOptions", + _FakeAcceleratorOptions, + ) + + in_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + ) + + parser = _FakeThreadedParser.created + assert parser is not None + assert parser.parser_config is not None + assert parser.parser_config.threads == 7 + assert parser.decode_config is not None + assert parser.decode_config.materialize_bitmap_bytes is False + + in_doc._backend.unload() + + +def test_non_threaded_page_backend_disables_bitmap_materialization() -> None: + captured_config: Any | None = None + + class _FakeCell: + def to_top_left_origin(self, _page_height: float) -> "_FakeCell": + return self + + class _FakeDimension: + height = 200.0 + + class _FakeSegmentedPage: + dimension = _FakeDimension() + textline_cells = [_FakeCell()] + char_cells = [_FakeCell()] + word_cells = [_FakeCell()] + + class _FakePdfDocument: + def get_page(self, _page_no: int, config: Any) -> _FakeSegmentedPage: + nonlocal captured_config + captured_config = config + return _FakeSegmentedPage() + + def unload_pages(self, _page_range: tuple[int, int]) -> None: + return None + + class _FakePdfPage: + def close(self) -> None: + return None + + page_backend = DoclingParsePageBackend( + dp_doc=_FakePdfDocument(), + page_obj=_FakePdfPage(), + page_no=0, + ) + + try: + cells = list(page_backend.get_text_cells()) + finally: + page_backend.unload() + + assert len(cells) == 1 + assert captured_config is not None + assert captured_config.materialize_bitmap_bytes is False + + +def test_threaded_backend_creates_fresh_default_options_per_instance( + test_doc_path, monkeypatch: pytest.MonkeyPatch +) -> None: + monkeypatch.setattr( + "docling.backend.docling_parse_backend.DoclingThreadedPdfParser", + _FakeThreadedParser, + ) + monkeypatch.setattr( + "docling.backend.docling_parse_backend.pdfium.PdfDocument", + _FakePdfiumDocument, + ) + + first_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + ) + second_doc = InputDocument( + path_or_stream=test_doc_path, + format=InputFormat.PDF, + backend=ThreadedDoclingParseDocumentBackend, + ) + + try: + assert first_doc._backend.options is not second_doc._backend.options + finally: + first_doc._backend.unload() + second_doc._backend.unload() + + +def test_threaded_page_backend_delegates_image_access() -> None: + result = _FakeThreadedResult(page_number=4, page_width=120.0, page_height=90.0) + page_backend = ThreadedDoclingParsePageBackend(result) + cropbox = BoundingBox(l=10, t=5, r=40, b=25) + + image = page_backend.get_page_image(scale=2.0, cropbox=cropbox) + + assert page_backend.page_no == 4 + assert page_backend.get_size().width == 120.0 + assert page_backend.get_size().height == 90.0 + assert page_backend.is_valid() is True + assert image.size == (60, 40) + assert result.scales == [2.0] + assert result.cropboxes == [cropbox] + + +def test_threaded_page_backend_disables_bitmap_materialization() -> None: + class _FakeCell: + def to_top_left_origin(self, _page_height: float) -> "_FakeCell": + return self + + class _FakeDimension: + height = 200.0 + + class _FakeSegmentedPage: + dimension = _FakeDimension() + textline_cells = [_FakeCell()] + char_cells = [_FakeCell()] + word_cells = [_FakeCell()] + bitmap_resources: list[Any] = [] + + result = _FakeThreadedResult(page_number=4) + result.get_page = lambda: _FakeSegmentedPage() + + page_backend = ThreadedDoclingParsePageBackend(result) + + cells = list(page_backend.get_text_cells()) + + assert len(cells) == 1 + + +def _create_black_square_pdf(path: Path) -> None: + image = Image.new("RGB", (100, 100), "white") + draw = ImageDraw.Draw(image) + draw.rectangle((20, 40, 49, 69), fill="black") + image.save(path, "PDF", resolution=72.0) + + +def _load_first_page_backend(doc_backend: Any) -> Any: + if isinstance(doc_backend, ThreadedDoclingParseDocumentBackend): + return next(doc_backend.iter_pages()) + return doc_backend.load_page(0) + + +@pytest.mark.parametrize( + "backend_cls", + [DoclingParseDocumentBackend, ThreadedDoclingParseDocumentBackend], + ids=["docling_parse", "threaded_docling_parse"], +) +@pytest.mark.parametrize("scale", [1, 2], ids=["scale_1", "scale_2"]) +def test_get_page_image_crop_contains_black_square( + tmp_path: Path, backend_cls: Any, scale: int +) -> None: + pdf_path = tmp_path / "black_square.pdf" + _create_black_square_pdf(pdf_path) + + cropbox = BoundingBox( + l=21, + t=41, + r=49, + b=69, + coord_origin=CoordOrigin.TOPLEFT, + ) + full_square_cropbox = BoundingBox( + l=20, + t=40, + r=50, + b=70, + coord_origin=CoordOrigin.TOPLEFT, + ) + white_cropbox = BoundingBox( + l=0, + t=0, + r=10, + b=10, + coord_origin=CoordOrigin.TOPLEFT, + ) + + in_doc = InputDocument( + path_or_stream=pdf_path, + format=InputFormat.PDF, + backend=backend_cls, + ) + doc_backend = in_doc._backend + page_backend = _load_first_page_backend(doc_backend) + + try: + black_crop = page_backend.get_page_image(scale=scale, cropbox=cropbox).convert( + "RGB" + ) + white_crop = page_backend.get_page_image( + scale=scale, cropbox=white_cropbox + ).convert("RGB") + finally: + page_backend.unload() + doc_backend.unload() + + assert black_crop.size == (28 * scale, 28 * scale) + assert white_crop.size == (10 * scale, 10 * scale) + assert full_square_cropbox.width == 30 + assert full_square_cropbox.height == 30 + + black_extrema = black_crop.getextrema() + assert black_extrema is not None + assert all(channel_max <= 8 for _, channel_max in black_extrema) + + black_mean = ImageStat.Stat(black_crop).mean + white_mean = ImageStat.Stat(white_crop).mean + assert all(channel_mean < 5.0 for channel_mean in black_mean) + assert all(channel_mean > 250.0 for channel_mean in white_mean) diff --git a/tests/test_cli.py b/tests/test_cli.py index 0342d69094..10e61524d0 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -1,4 +1,5 @@ from pathlib import Path +from typing import Any import pytest from docling_core.types.doc import ImageRefMode @@ -6,7 +7,10 @@ from docling.cli.export_utils import _should_generate_export_images, _split_list from docling.cli.main import app -from docling.datamodel.base_models import OutputFormat +from docling.datamodel.backend_options import ThreadedDoclingParseBackendOptions +from docling.datamodel.base_models import InputFormat, OutputFormat +from docling.datamodel.pipeline_options import PdfBackend +from docling.document_converter import PdfFormatOption runner = CliRunner() @@ -244,3 +248,63 @@ def test_cli_audio_extensions_coverage(): assert ext in audio_extensions, ( f"Audio extension {ext} not found in FormatToExtensions[InputFormat.AUDIO]" ) + + +def test_cli_accepts_threaded_docling_parse_backend( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + captured_backend: type[Any] | None = None + captured_backend_options: ThreadedDoclingParseBackendOptions | None = None + + class _FakeDocumentConverter: + def __init__( + self, + *, + allowed_formats: list[InputFormat], + format_options: dict[InputFormat, PdfFormatOption], + ) -> None: + nonlocal captured_backend + nonlocal captured_backend_options + pdf_option = format_options[InputFormat.PDF] + assert isinstance(pdf_option, PdfFormatOption) + captured_backend = pdf_option.backend + assert isinstance( + pdf_option.backend_options, ThreadedDoclingParseBackendOptions + ) + captured_backend_options = pdf_option.backend_options + + def convert_all( + self, + input_doc_paths: list[Path], + headers: dict[str, str] | None = None, + raises_on_error: bool = False, + ) -> list[Any]: + assert len(input_doc_paths) == 1 + return [] + + monkeypatch.setattr("docling.cli.main.DocumentConverter", _FakeDocumentConverter) + + source = "./tests/data/pdf/2305.03393v1-pg9.pdf" + output = tmp_path / "out" + + result = runner.invoke( + app, + [ + source, + "--output", + str(output), + "--pdf-backend", + PdfBackend.THREADED_DOCLING_PARSE.value, + "--num-threads", + "7", + "--release-native-memory-every-n-pages", + "64", + ], + ) + + assert result.exit_code == 0 + assert captured_backend is not None + assert captured_backend.__name__ == "ThreadedDoclingParseDocumentBackend" + assert captured_backend_options is not None + assert captured_backend_options.parser_threads == 7 + assert captured_backend_options.release_native_memory_every_n_pages == 64 diff --git a/tests/test_options.py b/tests/test_options.py index c833181609..2cf290aa13 100644 --- a/tests/test_options.py +++ b/tests/test_options.py @@ -4,7 +4,10 @@ import pytest -from docling.backend.docling_parse_backend import DoclingParseDocumentBackend +from docling.backend.docling_parse_backend import ( + DoclingParseDocumentBackend, + ThreadedDoclingParseDocumentBackend, +) from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions from docling.datamodel.base_models import ConversionStatus, InputFormat, QualityGrade @@ -197,6 +200,7 @@ def test_parser_backends(test_doc_path): for backend_t in [ DoclingParseDocumentBackend, + ThreadedDoclingParseDocumentBackend, PyPdfiumDocumentBackend, ]: converter = DocumentConverter( diff --git a/tests/test_threaded_pipeline.py b/tests/test_threaded_pipeline.py index 862cf60fac..ad4da568d4 100644 --- a/tests/test_threaded_pipeline.py +++ b/tests/test_threaded_pipeline.py @@ -1,200 +1,110 @@ -import logging import time from pathlib import Path -from typing import List import pytest +from docling.backend.docling_parse_backend import ( + DoclingParseDocumentBackend, + ThreadedDoclingParseDocumentBackend, +) from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend from docling.datamodel.base_models import ConversionStatus, InputFormat -from docling.datamodel.document import ConversionResult from docling.datamodel.pipeline_options import ( - PdfPipelineOptions, ThreadedPdfPipelineOptions, ) from docling.document_converter import DocumentConverter, PdfFormatOption from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline -from docling.pipeline.threaded_standard_pdf_pipeline import ThreadedStandardPdfPipeline + +_TEST_FILES = [ + "tests/data/pdf/2203.01017v2.pdf", + "tests/data/pdf/2206.01062.pdf", + "tests/data/pdf/2305.03393v1.pdf", +] +_SINGLE_FILE = "tests/data/pdf/2206.01062.pdf" pytestmark = pytest.mark.ml_pdf_model -def test_threaded_pipeline_multiple_documents(): - """Test threaded pipeline with multiple documents and compare with standard pipeline""" - test_files = [ - "tests/data/pdf/2203.01017v2.pdf", - "tests/data/pdf/2206.01062.pdf", - "tests/data/pdf/2305.03393v1.pdf", - ] - # test_files = [str(f) for f in Path("test/data/pdf").rglob("*.pdf")] - - do_ts = False - do_ocr = False - - run_threaded = True - run_serial = True - - if run_threaded: - # Threaded pipeline - threaded_converter = DocumentConverter( - format_options={ - InputFormat.PDF: PdfFormatOption( - pipeline_cls=ThreadedStandardPdfPipeline, - pipeline_options=ThreadedPdfPipelineOptions( - layout_batch_size=1, - table_batch_size=1, - ocr_batch_size=1, - batch_polling_interval_seconds=1.0, - do_table_structure=do_ts, - do_ocr=do_ocr, - ), - ) - } - ) - - threaded_converter.initialize_pipeline(InputFormat.PDF) - - # Test threaded pipeline - threaded_success_count = 0 - threaded_failure_count = 0 - start_time = time.perf_counter() - for result in threaded_converter.convert_all(test_files, raises_on_error=True): - print( - "Finished converting document with threaded pipeline:", - result.input.file.name, - ) - if result.status == ConversionStatus.SUCCESS: - threaded_success_count += 1 - else: - threaded_failure_count += 1 - threaded_time = time.perf_counter() - start_time - - del threaded_converter - - print(f"Threaded pipeline: {threaded_time:.2f} seconds") - - if run_serial: - # Standard pipeline - standard_converter = DocumentConverter( - format_options={ - InputFormat.PDF: PdfFormatOption( - pipeline_cls=StandardPdfPipeline, - pipeline_options=PdfPipelineOptions( - do_table_structure=do_ts, - do_ocr=do_ocr, - ), - ) - } - ) - - standard_converter.initialize_pipeline(InputFormat.PDF) - - # Test standard pipeline - standard_success_count = 0 - standard_failure_count = 0 - start_time = time.perf_counter() - for result in standard_converter.convert_all(test_files, raises_on_error=True): - print( - "Finished converting document with standard pipeline:", - result.input.file.name, - ) - if result.status == ConversionStatus.SUCCESS: - standard_success_count += 1 - else: - standard_failure_count += 1 - standard_time = time.perf_counter() - start_time - - del standard_converter - - print(f"Standard pipeline: {standard_time:.2f} seconds") - - # Verify results - if run_threaded and run_serial: - assert standard_success_count == threaded_success_count - assert standard_failure_count == threaded_failure_count - if run_serial: - assert standard_success_count == len(test_files) - assert standard_failure_count == 0 - if run_threaded: - assert threaded_success_count == len(test_files) - assert threaded_failure_count == 0 - - -def test_pipeline_comparison(): - """Compare all three pipeline implementations""" - test_file = "tests/data/pdf/2206.01062.pdf" - - # Sync pipeline - sync_converter = DocumentConverter( +def _make_threaded_converter(**kwargs) -> DocumentConverter: + return DocumentConverter( format_options={ InputFormat.PDF: PdfFormatOption( pipeline_cls=StandardPdfPipeline, + backend=ThreadedDoclingParseDocumentBackend, + pipeline_options=ThreadedPdfPipelineOptions( + do_table_structure=False, + do_ocr=False, + **kwargs, + ), ) } ) - start_time = time.perf_counter() - sync_results = list(sync_converter.convert_all([test_file])) - sync_time = time.perf_counter() - start_time - # Threaded pipeline - threaded_converter = DocumentConverter( +def _make_standard_converter() -> DocumentConverter: + return DocumentConverter( format_options={ InputFormat.PDF: PdfFormatOption( - pipeline_cls=ThreadedStandardPdfPipeline, + pipeline_cls=StandardPdfPipeline, + backend=DoclingParseDocumentBackend, pipeline_options=ThreadedPdfPipelineOptions( - layout_batch_size=1, - ocr_batch_size=1, - table_batch_size=1, + do_table_structure=False, + do_ocr=False, ), ) } ) - start_time = time.perf_counter() - threaded_results = list(threaded_converter.convert_all([test_file])) - threaded_time = time.perf_counter() - start_time - print("\nPipeline Comparison:") - print(f"Sync pipeline: {sync_time:.2f} seconds") - print(f"Threaded pipeline: {threaded_time:.2f} seconds") - print(f"Speedup: {sync_time / threaded_time:.2f}x") +def test_threaded_pipeline_multiple_documents(): + converter = _make_threaded_converter() + converter.initialize_pipeline(InputFormat.PDF) - # Verify results are equivalent - assert len(sync_results) == len(threaded_results) == 1 - assert ( - sync_results[0].status == threaded_results[0].status == ConversionStatus.SUCCESS - ) + results = list(converter.convert_all(_TEST_FILES, raises_on_error=True)) + + assert len(results) == len(_TEST_FILES) + assert all(r.status == ConversionStatus.SUCCESS for r in results) - # Basic content comparison - sync_doc = sync_results[0].document - threaded_doc = threaded_results[0].document - assert len(sync_doc.pages) == len(threaded_doc.pages) - assert len(sync_doc.texts) == len(threaded_doc.texts) +def test_threaded_and_standard_backends_convert_with_standard_pipeline(): + threaded_converter = _make_threaded_converter() + standard_converter = _make_standard_converter() + threaded_result = threaded_converter.convert(_SINGLE_FILE) + standard_result = standard_converter.convert(_SINGLE_FILE) -def test_pypdfium_threaded_pipeline(): - doc_converter = ( - DocumentConverter( # all of the below is optional, has internal defaults. - format_options={ - InputFormat.PDF: PdfFormatOption( - pipeline_cls=ThreadedStandardPdfPipeline, - backend=PyPdfiumDocumentBackend, + assert threaded_result.status == ConversionStatus.SUCCESS + assert standard_result.status == ConversionStatus.SUCCESS + + +def test_threaded_pipeline_with_pypdfium_backend(): + converter = DocumentConverter( + format_options={ + InputFormat.PDF: PdfFormatOption( + pipeline_cls=StandardPdfPipeline, + backend=PyPdfiumDocumentBackend, + pipeline_options=ThreadedPdfPipelineOptions( + do_table_structure=False, + do_ocr=False, ), - }, - ) + ) + } ) + converter.initialize_pipeline(InputFormat.PDF) + + for i in range(3): + result = converter.convert(_SINGLE_FILE) + assert result.status == ConversionStatus.SUCCESS, f"iteration {i} failed" - test_file = "tests/data/pdf/2206.01062.pdf" - for i in range(6): - print(f"iteration {i=}") - conv_result = doc_converter.convert(test_file) - assert conv_result.status == ConversionStatus.SUCCESS - print(f"[{i=}] Success") - print("All done!") +def test_threaded_pipeline_page_range(): + converter = _make_threaded_converter() + + result = converter.convert( + _SINGLE_FILE, + raises_on_error=True, + page_range=(2, 4), + ) -if __name__ == "__main__": - # Run basic performance test - test_pipeline_comparison() + assert result.status == ConversionStatus.SUCCESS + assert [p.page_no for p in result.pages] == [2, 3, 4] diff --git a/uv.lock b/uv.lock index d98195c8d0..845972caea 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.10, <4.0" resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'win32'", @@ -27,7 +27,7 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "huggingface-hub" }, { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" }, - { name = "numpy", version = "2.4.5", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, + { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" }, { name = "packaging" }, { name = "psutil" }, { name = "pyyaml" }, @@ -41,11 +41,11 @@ wheels = [ [[package]] name = "aiohappyeyeballs" -version = "2.6.1" +version = "2.6.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/26/30/f84a107a9c4331c14b2b586036f40965c128aa4fee4dda5d3d51cb14ad54/aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558", size = 22760, upload-time = 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