diff --git a/.github/workflows/tests-extract-python.yml b/.github/workflows/tests-extract-python.yml index 567a4fd..4c4e854 100644 --- a/.github/workflows/tests-extract-python.yml +++ b/.github/workflows/tests-extract-python.yml @@ -55,7 +55,7 @@ jobs: - name: Run tests run: | cd extract-python - uv sync --dev --extra docling --extra marker --frozen + uv sync --dev --extra docling --extra marker --extra liteparse --frozen uv run --frozen pytest -m "not miner_u" -vvv --cache-clear --show-capture=all -r A tests tests-miner-u: diff --git a/extract-core/extract_core/__init__.py b/extract-core/extract_core/__init__.py index 953e700..2d0268a 100644 --- a/extract-core/extract_core/__init__.py +++ b/extract-core/extract_core/__init__.py @@ -56,6 +56,11 @@ except ModuleNotFoundError: MinerUBackend, MinerUPipelineConfig, MinerUConfig = None, None, None +try: + from .liteparse_ import LiteParseConfig, LiteParsePipelineConfig +except ModuleNotFoundError: + LiteParsePipelineConfig, LiteParseConfig = None, None + _pipeline_type_discriminator = make_enum_discriminator("pipeline", PipelineType) @@ -81,6 +86,8 @@ def pipeline_config_discriminator(v: Any) -> str: __all__ = [ + "LiteParsePipelineConfig", + "LiteParseConfig", "BaseModel", "BasePipelineConfig", "ConversionOutput", diff --git a/extract-core/extract_core/configs.py b/extract-core/extract_core/configs.py index a096f15..6be574b 100644 --- a/extract-core/extract_core/configs.py +++ b/extract-core/extract_core/configs.py @@ -12,6 +12,7 @@ class PipelineType(StrEnum): DOCLING = "docling" + LITEPARSE = "liteparse" MARKER = "marker" MINER_U = "miner_u" diff --git a/extract-core/extract_core/default_config.py b/extract-core/extract_core/default_config.py index b551a04..a31a096 100644 --- a/extract-core/extract_core/default_config.py +++ b/extract-core/extract_core/default_config.py @@ -12,6 +12,8 @@ def default_config( return _default_marker_config(size) case PipelineType.MINER_U: return _default_mineru_config(size) + case PipelineType.LITEPARSE: + return _default_liteparse_config() case _: raise NotImplementedError(f"unsupported pipeline type {pipeline_type}") @@ -46,3 +48,9 @@ def _default_mineru_config(size: PipelineSize) -> BasePipelineConfig: case _: raise TypeError(f"unsupported pipeline size {size}") return MinerUPipelineConfig(config=MinerUConfig(tier=tier)) + + +def _default_liteparse_config() -> BasePipelineConfig: + from .liteparse_ import LiteParsePipelineConfig # noqa: PLC0415 + + return LiteParsePipelineConfig() diff --git a/extract-core/extract_core/liteparse_.py b/extract-core/extract_core/liteparse_.py new file mode 100644 index 0000000..685e18b --- /dev/null +++ b/extract-core/extract_core/liteparse_.py @@ -0,0 +1,87 @@ +import os +from copy import copy +from datetime import timedelta +from pathlib import Path +from typing import ClassVar, Self + +from pydantic import Field + +from .configs import BasePipelineConfig, PipelineType, ResultBufferConfig +from .objects import BaseModel, Device, SupportedExt + +_SUPPORTED_EXTS = { + SupportedExt.DOC, + SupportedExt.DOCX, + SupportedExt.DOCM, + SupportedExt.ODT, + SupportedExt.RTF, + SupportedExt.PAGES, + SupportedExt.PPT, + SupportedExt.PPTX, + SupportedExt.PPTM, + SupportedExt.ODP, + SupportedExt.KEY, + SupportedExt.XLS, + SupportedExt.XLSX, + SupportedExt.XLSM, + SupportedExt.ODS, + SupportedExt.CSV, + SupportedExt.TSV, + SupportedExt.NUMBERS, + SupportedExt.JPG, + SupportedExt.JPEG, + SupportedExt.PNG, + SupportedExt.GIF, + SupportedExt.BMP, + SupportedExt.TIFF, + SupportedExt.WEBP, + SupportedExt.SVG, +} + + +class LiteParseConfig(BaseModel): + # TODO: move this to extract API + ocr_language: str = "eng" + dpi: float = 300 + preserve_very_small_text: bool = False + quiet: bool = False + extract_annotations: bool = True + extract_form_fields: bool = True + extract_xfa_packets: bool = True + extract_document_metadata: bool = False + extract_content_bounds: bool = True + detect_screenshot_rects: bool = False + render_form_fields: bool = False + emit_word_boxes: bool = False + extract_text_metadata: bool = False + skip_diagonal_text: bool = False + extract_vector_graphics: bool = False + + +def _default_n_cpu() -> int: + return os.cpu_count() - 1 + + +class LiteParsePipelineConfig(BasePipelineConfig): + pipeline: ClassVar[PipelineType] = Field( + frozen=True, default=PipelineType.LITEPARSE + ) + device: Device = Field(default=Device.CPU, frozen=True) + + config: LiteParseConfig = Field(default_factory=LiteParseConfig) + tessdata_path: Path | None = None + + detect_page_orientation: bool = True + + n_cpus: int = Field(default_factory=_default_n_cpu) + page_batch_size: int = 8 + per_page_timeout: timedelta | None = None + + result_buffer: ResultBufferConfig = Field(default_factory=ResultBufferConfig) + + @classmethod + def supported_exts(cls) -> set[SupportedExt]: + return copy(_SUPPORTED_EXTS) + + def to_device(self) -> Self: + return self diff --git a/extract-core/extract_core/objects.py b/extract-core/extract_core/objects.py index af9f332..3de6cfa 100644 --- a/extract-core/extract_core/objects.py +++ b/extract-core/extract_core/objects.py @@ -106,11 +106,13 @@ class SupportedExt(StrEnum): QMD = ".qmd" RMD = ".rmd" RTF = ".rtf" + SVG = ".svg" TEX = ".tex" + TEXT = ".text" TIF = ".tif" TIFF = ".tiff" + TSV = ".tsv" TXT = ".txt" - TEXT = ".text" WEBP = ".webp" XBRL = ".xbrl" XHTML = ".xhtml" @@ -211,6 +213,12 @@ def from_docling(cls, docling_error) -> Self: # noqa: ANN001 ) return cls(id=error_id, title=title, detail=detail) + @classmethod + def from_liteparse(cls, liteparse_error) -> Self: # noqa: ANN001 + title = "LiteParseConversionError" + error_id = f"{_id_title(title)}-{uuid.uuid4().hex}" + return cls(id=error_id, title=title, detail=liteparse_error.message) + def _id_title(title: str) -> str: id_title = [] diff --git a/extract-python/.python-version b/extract-python/.python-version index 6324d40..24ee5b1 100644 --- a/extract-python/.python-version +++ b/extract-python/.python-version @@ -1 +1 @@ -3.14 +3.13 diff --git a/extract-python/extract_python/__init__.py b/extract-python/extract_python/__init__.py index fee4c7d..6498001 100644 --- a/extract-python/extract_python/__init__.py +++ b/extract-python/extract_python/__init__.py @@ -21,10 +21,16 @@ logger.warning("mineru is not available, might be optional...") MinerUPipeline = None +try: + from .liteparse_ import LiteParsePipeline +except ModuleNotFoundError: + logger.warning("liteparse is not available, might be optional...") + LiteParsePipeline = None __all__ = [ "DoclingPipeline", "DOCLING_DEFAULT_ARTIFACTS_PATH", "MarkerPipeline", "MinerUPipeline", + "LiteParsePipeline", ] diff --git a/extract-python/extract_python/docling_.py b/extract-python/extract_python/docling_.py index 519864f..8aec0c4 100644 --- a/extract-python/extract_python/docling_.py +++ b/extract-python/extract_python/docling_.py @@ -101,8 +101,8 @@ async def extract_content( if res is sentinel: break pages = next(processed) - buffer.add(pages, res) - if buffer.is_complete(pages.doc_idx): + is_complete = buffer.add(pages, res) + if is_complete: doc_pages = buffer.pop_complete(pages.doc_idx) yield _to_result( doc_pages, pages.doc, output_format, output_path=output_path diff --git a/extract-python/extract_python/liteparse_.py b/extract-python/extract_python/liteparse_.py new file mode 100644 index 0000000..b43101f --- /dev/null +++ b/extract-python/extract_python/liteparse_.py @@ -0,0 +1,493 @@ +import asyncio +import logging +import os +from collections import defaultdict +from collections.abc import AsyncIterable, Callable, Generator, Iterable, Sequence +from contextlib import contextmanager +from dataclasses import dataclass, field +from functools import cache +from itertools import batched +from pathlib import Path +from typing import TYPE_CHECKING, Literal, Self, cast + +from extract_core import ( + ConversionOutput, + Error, + InputDoc, + OutputFormat, + Pipeline, + PipelineType, + Result, + Status, + SupportedExt, +) +from pydantic import TypeAdapter + +from .constants import ARTIFACTS, DEFAULT_MD_PAGE_SEP +from .utils import ( + ProcessedPages, + Range, + ResultBuffer, + UsageTracker, + chunk_docs, + path_to_artifacts_dirname, + publish_and_consume, + write_pages, +) + +logger = logging.getLogger(__name__) +if TYPE_CHECKING: + from liteparse import LiteParse + from liteparse.types import ( + ExtractedImage, + PageComplexityStats, + PageError, + ParsedPage, + ParseResult, + ) + from PIL import Image + from tesserocr import PyTessBaseAPI + +_LITEPARSE_CONVERSION_ERRORS = tuple() + + +OrientedBatch = tuple[int | None, tuple[ProcessedPages]] +LiteParseOutputFormat = Literal["text", "json", "markdown"] + + +@cache +def get_parse_result_ta() -> TypeAdapter: + from liteparse.types import ParseResult # noqa: PLC0415 + + return TypeAdapter(ParseResult) + + +@dataclass +class LiteParsePageResult: + pages: list["ParsedPage"] = field(default_factory=list) + images: list["ExtractedImage"] = field(default_factory=list) + errors: list["PageError"] = field(default_factory=list) + _by_ix: ( + dict[int, tuple["ParsedPage", list["ExtractedImage"], list["PageError"]]] | None + ) = None + + def filter(self, page: ProcessedPages) -> Self: + if self._by_ix is None: + self._by_ix = self._results_by_index() + pages, images, errors = [], [], [] + for p_i in range(page.page_range[0], page.page_range[1]): + p, ims, errors = self._by_ix[p_i] + pages.append(p) + images.extend(ims) + errors.extend(errors) + return LiteParsePageResult(pages=pages, images=images, errors=errors) + + def _results_by_index( + self, + ) -> dict[int, tuple["ParsedPage", list["ExtractedImage"], list["PageError"]]]: + by_ix = dict() + for p in self.pages: + rng_ix = p.page_num - 1 + ims = [i for i in self.images if i.page == p.page_num] + errors = [e for e in self.errors if e.page_num == p.page_num] + by_ix[rng_ix] = (p, ims, errors) + return by_ix + + +ResultAggregator = Callable[[InputDoc, list[LiteParsePageResult], Path], Result] + + +@Pipeline.register(PipelineType.LITEPARSE) +class LiteParsePipeline(Pipeline): + async def extract_content( + self, docs: Iterable[InputDoc], output_format: OutputFormat, output_path: Path + ) -> AsyncIterable[Result]: + tessdata_path = self._config.tessdata_path + if tessdata_path is None: + tessdata_path = os.getenv("TESSDATA_PREFIX") + if tessdata_path is None: + msg = "couldn't find tessdata path in config nor TESSDATA_PREFIX env var" + raise RuntimeError(msg) + self._tessdata_path = str(tessdata_path) + if self._config.detect_page_orientation: + logger.info("reading docs page orientation detection...") + batches = await self._batch_per_orientation(docs) + logger.info("done with page orientation detection !") + else: + batches = chunk_docs(docs, self._config.page_batch_size) + batches = ((None, (c,)) for c in batches) + async for res in self._parse(batches, output_format, output_path): + yield res + + async def _batch_per_orientation( + self, docs: Iterable[InputDoc] + ) -> list[OrientedBatch]: + result_queue = asyncio.Queue() + publisher = self._batch_publisher(docs, result_queue) + consumer = self._batch_consumer(result_queue) + batches = [b async for b in publish_and_consume(publisher, consumer=consumer)] + return batches + + async def _batch_publisher( + self, docs: Iterable[InputDoc], queue: asyncio.Queue + ) -> None: + sem = asyncio.Semaphore(self._config.n_cpus - 1) + logger.debug("creating page complexity parser...") + parser = self._make_complexity_parser() + logger.debug("creating page complexity parser...") + parser.warm_up() + with parser: + async with asyncio.TaskGroup() as tg: + for doc in docs: + if doc.ext == SupportedExt.PDF: + task = self._detect_complexity_and_queue( + parser, doc, queue, sem + ) + tg.create_task(task) + else: + queue.put_nowait((doc, None)) + queue.put_nowait(None) + + async def _batch_consumer( + self, queue: asyncio.Queue + ) -> AsyncIterable[OrientedBatch]: + import pypdfium2 as pdfium # noqa: PLC0415 + import tesserocr # noqa: PLC0415 + from liteparse.types import PageComplexityStats # noqa: PLC0415 + + batch_size = self._config.page_batch_size + osd_reader = tesserocr.PyTessBaseAPI( + self._tessdata_path, + lang="osd", + oem=tesserocr.OEM.DEFAULT, + psm=tesserocr.PSM.OSD_ONLY, + ) + pages_per_orientation = defaultdict(list) + doc_ix = -1 + with osd_reader: + while (res := await queue.get()) is not None: + doc_ix += 1 + doc, pdf_pages = res + if pdf_pages is None: + for batch in chunk_docs([doc], batch_size): + rng = _liteparse_range(batch.page_range) + pages_per_orientation[(rng, None)].append(batch) + continue + buffer = defaultdict(list) + try: + pdf_doc = None + pages = cast(list[PageComplexityStats], pdf_pages) + for page in pages: + # We don't use orientation for regular page, we reserve osd for + # pages were OCR is required + if not _should_detect_orientation(page): + buffer[None].append(page) + continue + if pdf_doc is None: + pdf_doc = pdfium.PdfDocument(doc.path) + page_im = ( + pdf_doc[page.page_number - 1].render(scale=3.0).to_pil() + ) + orientation = _detect_orientation(osd_reader, page_im) + buffer[orientation].append(page) + finally: + if pdf_doc is not None: + pdf_doc.close() + for orientation, pages in buffer.items(): + for batch in batched(pages, batch_size, strict=False): + batch = _pages_from_complexities(doc, doc_ix, *batch) # noqa: PLW2901 + rng = _liteparse_range_from_pages(*batch) + pages_per_orientation[(rng, orientation)].append(batch) + # We yield pages per orientation only here to make sure to yield + # (orientation, range) in the most regular way and avoid reload + for (_, orientation), batches in pages_per_orientation.items(): + for batch in batches: + yield orientation, batch + + async def _parse( + self, + batches: Iterable[OrientedBatch], + output_format: OutputFormat, + output_path: Path, + ) -> AsyncIterable[Result]: + match output_format: + case OutputFormat.MARKDOWN: + liteparse_o_fmt, postprocess_fn = "markdown", aggregate_pages_md + case _: + fmt = ( + f"unsupported output format for {LiteParsePipeline.__name__}" + f" {output_format}" + ) + raise NotImplementedError(fmt) + result_queue = asyncio.Queue() + with self._result_buffer() as buffer: + publisher = self._parse_publisher(batches, liteparse_o_fmt, result_queue) + consumer = self._parse_consumer( + result_queue, buffer, postprocess_fn, output_path + ) + async for res in publish_and_consume(publisher, consumer=consumer): + yield res + + async def _parse_publisher( + self, + batches: Iterable[OrientedBatch], + output_format: LiteParseOutputFormat, + queue: asyncio.Queue, + ) -> None: + parser = None + # Buffer partial conversion to filesystem as large docs are chunked into pieces + # Prevent more than n_cpu concurrent processing + sem = asyncio.Semaphore(self._config.n_cpus - 1) + # Results may return in arbitrary order, we need to wait until parser is not + # used any longer before + tracker = UsageTracker() + current_key = None + with _close_parser(parser): + async with asyncio.TaskGroup() as tg: + for orientation, batch in batches: + # We avoid recreating the parser at each iteration since it creates + # a worker pool, instead process in (orientation, page range) order + # and cache the parser + page_range = _liteparse_range_from_pages(*batch) + n_pages = sum(p.n_pages for p in batch) + key = (page_range, orientation) + if key != current_key: + if parser is not None: + await tracker.wait_until_free() + parser.__exit__() + logger.debug("loading parser for %s", key) + parser = self._make_parser(output_format, key, n_pages=n_pages) + parser.__enter__().warm_up() + current_key = key + await sem.acquire(), await tracker.acquire() + task = self._convert_and_queue(parser, batch, queue, sem, tracker) + tg.create_task(task) + queue.put_nowait(None) + + async def _parse_consumer( + self, + queue: asyncio.Queue, + buffer: ResultBuffer, + result_aggregator: ResultAggregator, + output_path: Path, + ) -> AsyncIterable[Result]: + while (queued := await queue.get()) is not None: + pages, res = queued + for p in pages: + filtered = res.filter(p) + buffer.add(p, filtered) + doc_ix = pages[0].doc_idx + doc = pages[0].doc + if buffer.is_complete(doc_ix): + res = result_aggregator(doc, buffer.pop_complete(doc_ix), output_path) + yield res + logger.info("done consuming !") + + async def _detect_complexity_and_queue( + self, + parser: "LiteParse", + doc: InputDoc, + queue: asyncio.Queue, + sem: asyncio.Semaphore, + ) -> None: + pages = await asyncio.to_thread(parser.is_complex, doc.path) + sem.release() + queue.put_nowait((doc, pages)) + + async def _convert_and_queue( + self, + parser: "LiteParse", + pages: tuple[ProcessedPages], + queue: asyncio.Queue, + sem: asyncio.Semaphore, + tracker: UsageTracker, + ) -> None: + res = await asyncio.to_thread(parser.parse, pages[0].doc.path) + sem.release(), await tracker.release() + res = LiteParsePageResult( + pages=res.pages, errors=res.page_errors, images=res.images + ) + queue.put_nowait((pages, res)) + + def _make_parser( + self, + output_format: LiteParseOutputFormat, + key: tuple[str, int | None], + n_pages: int, + ) -> "LiteParse": + from liteparse.parser import LiteParse # noqa: PLC0415 + + page_batch_size = self._config.page_batch_size + parse_timeout = self._config.per_page_timeout + if parse_timeout is not None: + parse_timeout = parse_timeout * page_batch_size + target_pages, orientation = key + if orientation is not None: + orientation = [(p + 1, orientation) for p in range(n_pages)] + pool_size = self._config.n_cpus - 1 + return LiteParse( + ocr_enabled=True, + extract_links=True, + keep_headers_footers=True, + extract_structure_tree=True, + extract_blocks=True, + ocr_failure_fatal=True, + # Corrections are per docs we would have to create 1 parser per doc + page_orientation_corrections=orientation, + pool_size=pool_size, + parse_timeout=parse_timeout, + target_pages=target_pages, + continue_on_page_error=True, + output_format=output_format, + extract_images=True, + extract_screenshots=False, + include_complexity=True, + image_mode="placeholder", + num_workers=1, + image_output_dir=None, + **self._config.config.model_dump(), + ) + + def _make_complexity_parser(self) -> "LiteParse": + from liteparse.parser import LiteParse # noqa: PLC0415 + + return LiteParse(ocr_enabled=False, pool_size=self._config.n_cpus - 1) + + def _result_buffer(self) -> ResultBuffer: + + buffer = ResultBuffer( + max_size_bytes=self._config.result_buffer.max_size, + root=self._config.result_buffer.root, + save_fn=_save_conversion_result, + load_fn=_load_conversion_result, + ) + return buffer + + +def aggregate_pages_md( + doc: InputDoc, + results: Sequence[LiteParsePageResult], + output_path: Path, + sep: str = DEFAULT_MD_PAGE_SEP, +) -> Result: + md_dir_name = path_to_artifacts_dirname(doc.path) + md_dir = output_path / md_dir_name + md_dir.mkdir(parents=True, exist_ok=True) + im_dir = md_dir / ARTIFACTS + im_dir.mkdir(parents=True, exist_ok=True) + pages, errors = [], [] + results = sorted(results, key=lambda p: p.pages[0].page_num) + for res in results: + if res.errors: + errors.extend(Error.from_liteparse(err) for err in res.errors) + per_page_md = {p.page_num: md_from_page(p) for p in res.pages} + for im in res.images: + if im.bytes is None: + msg = "images were not extracted, extract_images must be set to True" + raise ValueError(msg) + im_path = im_dir / im.name + im_path.write_bytes(im.bytes) + page_md = per_page_md[im.page] + page_md = page_md.replace(im.name, f"{ARTIFACTS}/{im.name}") + per_page_md[im.page] = page_md + for _, p in sorted(per_page_md.items()): + pages.append(p) + if not errors: + status = Status.SUCCESS + else: + errors_on_all_pages = all(bool(len(p.errors)) for p in pages) + status = Status.FAILURE if errors_on_all_pages else Status.FAILURE + md_file = (md_dir / md_dir.name).with_suffix(OutputFormat.MARKDOWN) + with md_file.open(mode="wb") as f: + pages = write_pages(pages, sep, f) + output = ConversionOutput( + path=md_dir.relative_to(output_path), pages=pages, confidence=None + ) + return Result(input=doc, status=status, output=output, errors=errors) + + +def md_from_page(page: "ParsedPage") -> str: + md = page.markdown + if "scanned" not in page.complexity.reasons: + return md + if md.startswith("![]("): + md = md.split("\n")[1:] + if not md[0]: + md = md[1:] + md = "\n".join(md) + return md + + +def _save_conversion_result(res: "ParseResult", path: Path) -> None: + path.write_bytes(get_parse_result_ta().dump_json(res)) + + +def _load_conversion_result(path: Path) -> "ParseResult": + return get_parse_result_ta().validate_json(path.read_text()) + + +@contextmanager +def _close_parser(parser: "LiteParse | None") -> Generator[None]: + try: + yield + finally: + if parser is not None: + parser.close() + + +def _liteparse_range(rng: Range) -> str: + # page range is a Python range, liteparse indexes from 1 and upper bound + # is inclusive + return f"{rng[0] + 1}-{rng[1]}" + + +def _liteparse_range_from_pages(*pages: ProcessedPages) -> str: + pages = sorted(pages, key=lambda p: p.page_range[0]) + ranges = (_liteparse_range(p.page_range) for p in pages) + return ",".join(ranges) + + +def _pages_from_complexities( + doc: InputDoc, doc_ix: int, *complexities: "PageComplexityStats" +) -> tuple[ProcessedPages]: + complexities = sorted(complexities, key=lambda p: p.page_number) + pages = [] + start, end = None, None + for p in complexities: + if start is None: + start = p.page_number - 1 + end = start + 1 + if p.page_number != end: + processed = ProcessedPages(doc=doc, doc_idx=doc_ix, page_range=(start, end)) + pages.append(processed) + start = p.page_number - 1 + end = p.page_number + processed = ProcessedPages(doc=doc, doc_idx=doc_ix, page_range=(start, end)) + pages.append(processed) + return pages + + +_CLIPPED_ORIENTATIONS = [0, 90, 180, 270] + + +def _should_detect_orientation(page: "PageComplexityStats") -> bool: + if not page.needs_ocr: + return False + reasons = set(page.reasons) + if "scanned" in reasons: + return True + if "garbled" in reasons: + return True + if "vector-text" in reasons: # noqa: SIM103 + return True + return False + + +def _detect_orientation(osd_reader: "PyTessBaseAPI", page_im: "Image.Image") -> int: + osd_reader.SetImage(page_im) + orientation = osd_reader.DetectOrientationScript()["orient_deg"] + return _clipped_orientation(orientation) + + +def _clipped_orientation(angle: float) -> int: + return min((abs(angle - o) % 360, o) for o in _CLIPPED_ORIENTATIONS)[1] diff --git a/extract-python/extract_python/utils.py b/extract-python/extract_python/utils.py index 02350bf..caa49bd 100644 --- a/extract-python/extract_python/utils.py +++ b/extract-python/extract_python/utils.py @@ -1,10 +1,18 @@ +import asyncio import itertools import logging import os import shutil import uuid from collections import defaultdict, deque -from collections.abc import Callable, Generator, Iterable, Iterator +from collections.abc import ( + AsyncIterable, + Callable, + Coroutine, + Generator, + Iterable, + Iterator, +) from contextlib import contextmanager from copy import copy from dataclasses import dataclass @@ -13,7 +21,8 @@ from pathlib import Path, PurePath from tempfile import TemporaryDirectory from types import TracebackType -from typing import BinaryIO, Protocol, Self +from typing import Any, BinaryIO, Protocol, Self +from warnings import deprecated from extract_core import Error, InputDoc, Pages, Result, Status from pympler import asizeof @@ -103,11 +112,62 @@ class ProcessedPages: page_range: Range | None = None @property - def page_length(self) -> int: + def n_pages(self) -> int: if self.page_range is None: return self.doc.n_pages return self.page_range[1] - self.page_range[0] + @property + @deprecated("Use n_pages instead") + def page_length(self) -> int: + return self.n_pages + + +def chunk_docs( + docs: Iterable[InputDoc], n_pages: int, *, offset: int = 0 +) -> Iterable[ProcessedPages]: + for doc_i, doc in enumerate(docs): + doc_idx = offset + doc_i + for i in range(0, doc.n_pages, n_pages): + start = i + end = min(start + n_pages, doc.n_pages) + rng = (start, end) + pages = ProcessedPages(doc=doc, doc_idx=doc_idx, page_range=rng) + yield pages + + +class UsageTracker: + def __init__(self): + self._usages = 0 + self._lock = asyncio.Lock() + self._is_free = asyncio.Event() + + async def __aenter__(self) -> Self: + await self.acquire() + return self + + async def __aexit__( + self, + exc_type: type[BaseException] | None, + exc_val: BaseException | None, + exc_tb: TracebackType | None, + ): + await self.release() + + async def acquire(self) -> None: + async with self._lock: + self._is_free.clear() + self._usages += 1 + + async def release(self) -> None: + async with self._lock: + self._usages -= 1 + if self._usages == 0: + self._is_free.set() + + async def wait_until_free(self) -> None: + await self._is_free.wait() + class ResultBuffer[R]: def __init__( @@ -163,7 +223,7 @@ def _fs_buffer_path(self) -> Path: raise ValueError(msg) return self.__fs_buffer_path - def add(self, processed: ProcessedPages, result: R) -> None: + def add(self, processed: ProcessedPages, result: R) -> bool: size = asizeof.asizeof(result) if self._current_size + size > self._max_bytes: path = self._page_path(processed.doc_idx) @@ -174,7 +234,8 @@ def add(self, processed: ProcessedPages, result: R) -> None: self._mem_buffer[processed.doc_idx].append(result) if processed.doc_idx not in self._missing_pages: self._missing_pages[processed.doc_idx] = processed.doc.n_pages - self._missing_pages[processed.doc_idx] -= processed.page_length + self._missing_pages[processed.doc_idx] -= processed.n_pages + return self.is_complete(processed.doc_idx) def is_complete(self, doc: int) -> bool: return self._missing_pages[doc] == 0 @@ -294,3 +355,35 @@ def _by_page_ranges( for v in by_range.values(): yield tuple(v) return doc_idx + + +async def publish_and_consume[R]( + publisher: Coroutine[Any, Any, Any], *, consumer: AsyncIterable[R] +) -> AsyncIterable[R]: + # Publish and consume concurrently + logger.debug("starting publish and consume") + publish_t = asyncio.create_task(publisher) + sentinel = object() + consume_t = asyncio.create_task(anext(consumer, sentinel)) + awaited = [publish_t, consume_t] + while awaited: + done, pending = await asyncio.wait(awaited, return_when=asyncio.FIRST_COMPLETED) + for d in done: + # Stop everything case of exception + exc = d.exception() + if exc: + for p in pending: + p.cancel() + raise exc + if publish_t in done: + awaited = [t for t in awaited if t is not publish_t] + if consume_t in done: + res = consume_t.result() + if res is sentinel: + awaited = [t for t in awaited if t is not consume_t] + else: + yield res + awaited = [t for t in awaited if t is not consume_t] + consume_t = asyncio.create_task(anext(consumer, sentinel)) + awaited.append(consume_t) + logger.debug("done with publish and consume !") diff --git a/extract-python/pyproject.toml b/extract-python/pyproject.toml index 9b2ceed..4bbb5dc 100644 --- a/extract-python/pyproject.toml +++ b/extract-python/pyproject.toml @@ -33,6 +33,13 @@ docling-gpu = [ "docling-slim[feat-ocr-nemotron,models-onnxruntime,models-vlm-inline]~=2.127", ] +liteparse = [ + "liteparse~=2.15", + "pillow~=11.0", + "pypdfium2~=4.0", + "tesserocr~=2.7", +] + marker = [ "marker-pdf~=1.10", ] @@ -45,11 +52,19 @@ mineru = [ ] [tool.uv] +environments = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", +] conflicts = [ [ { extra = "marker" }, { extra = "mineru" }, ], + [ + { extra = "liteparse" }, + { extra = "mineru" }, + ], ] required-environments = [ "sys_platform == 'darwin' and platform_machine == 'arm64'", diff --git a/extract-python/tests/test_liteparse.py b/extract-python/tests/test_liteparse.py new file mode 100644 index 0000000..84317ad --- /dev/null +++ b/extract-python/tests/test_liteparse.py @@ -0,0 +1,65 @@ +from pathlib import Path +from typing import cast + +import pytest +from extract_core import ( + InputDoc, + LiteParsePipelineConfig, + OutputFormat, + Pipeline, + Status, +) +from extract_python import DoclingPipeline +from extract_python.liteparse_ import LiteParsePipeline + +from . import TEST_DATA_DIR + + +@pytest.fixture(scope="session") +def config() -> LiteParsePipelineConfig: + config = LiteParsePipelineConfig(page_batch_size=1) + return config + + +@pytest.fixture(scope="session") +def pipeline(config: LiteParsePipelineConfig) -> DoclingPipeline: + return cast(LiteParsePipeline, Pipeline.from_config(config=config)) + + +def test_pipeline_should_initialize_from_default() -> None: + # Given + config = LiteParsePipelineConfig() + # When + pipeline = Pipeline.from_config(config) + # Then + assert isinstance(pipeline, LiteParsePipeline) + + +@pytest.mark.integration +async def test_liteparse_pdf_to_markdown( + pipeline: LiteParsePipeline, docs: list[InputDoc], tmpdir: Path +) -> None: + # Given + output_path = Path(tmpdir) + # When + output_format = OutputFormat.MARKDOWN + res = [r async for r in pipeline.extract_content(docs, output_format, output_path)] + # Then + assert all(r.status == Status.SUCCESS for r in res) + expected_output_paths = ["computer_generated_pdf", "scanned_pdf"] + expected_output_paths = [Path(p) for p in expected_output_paths] + output_paths = sorted(r.output.path for r in res) + assert output_paths == expected_output_paths + for p in expected_output_paths: + assert (output_path / p).exists() + assert (output_path / p).is_dir() + assert (output_path / p / p.name).with_suffix(".md").exists() + assert any((output_path / p).glob("artifacts/*.png")) + assert all(r.output.pages.byte_ranges for r in res) + assert not any(r.errors for r in res) + input_path = sorted(r.input.path for r in res) + expected_input_path = [ + TEST_DATA_DIR / "computer_generated.pdf", + TEST_DATA_DIR / "scanned.pdf", + ] + assert input_path == expected_input_path diff --git a/extract-python/uv.lock b/extract-python/uv.lock index ad8fd0d..7bd284c 100644 --- a/extract-python/uv.lock +++ b/extract-python/uv.lock @@ -2,18 +2,16 @@ version = 1 revision = 3 requires-python = ">=3.13, <3.15" resolution-markers = [ - "python_full_version >= '3.14' and sys_platform == 'win32'", - "python_full_version >= '3.14' and sys_platform == 'emscripten'", - "python_full_version >= '3.14' and platform_machine != 'arm64' and sys_platform == 'darwin'", + "python_full_version >= '3.14' and sys_platform == 'darwin'", + "python_full_version < '3.14' and sys_platform == 'darwin'", "python_full_version >= '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version >= '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32')", - "python_full_version < '3.14' and sys_platform == 'win32'", - "python_full_version < '3.14' and sys_platform == 'emscripten'", - "python_full_version < '3.14' and platform_machine != 'arm64' and sys_platform == 'darwin'", + "python_full_version >= '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux'", "python_full_version < '3.14' and platform_machine == 'aarch64' and sys_platform == 'linux'", - "(python_full_version < '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.14' and sys_platform != 'darwin' and sys_platform != 'emscripten' and sys_platform != 'linux' and sys_platform != 'win32')", - "python_full_version >= '3.14' and platform_machine == 'arm64' and sys_platform == 'darwin'", - "python_full_version < '3.14' and platform_machine == 'arm64' and sys_platform == 'darwin'", + "python_full_version < '3.14' and platform_machine != 'aarch64' and sys_platform == 'linux'", +] +supported-markers = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", ] required-markers = [ "platform_machine == 'arm64' and sys_platform == 'darwin'", @@ -22,6 +20,9 @@ required-markers = [ conflicts = [[ { package = "extract-python", extra = "marker" }, { package = "extract-python", extra = "mineru" }, +], [ + { package = "extract-python", extra = "liteparse" }, + { package = "extract-python", extra = "mineru" }, ]] [manifest] @@ -33,15 +34,15 @@ name = "accelerate" version = "1.14.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub", version = "0.36.2", source = { registry = "https://pypi.org/simple" }, marker = "extra == 'extra-14-extract-python-marker'" }, - { name = "huggingface-hub", version = "1.33.0", source = { registry = "https://pypi.org/simple" }, marker = "extra == 'extra-14-extract-python-mineru' or extra != 'extra-14-extract-python-marker'" }, - { name = "numpy" }, - { name = "packaging" }, - { name = "psutil" }, - { name = "pyyaml" }, - { name = "safetensors" }, - { name = "torch", version = "2.12.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine != 'arm64' and extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru') or (sys_platform != 'darwin' and extra == 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"https://pypi.org/simple" } dependencies = [ - { name = "aiostream" }, - { name = "pydantic" }, - { name = "pydantic-settings" }, + { name = "aiostream", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 'extra-14-extract-python-mineru') or (extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru')" }, + { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 'extra-14-extract-python-mineru') or (extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru')" }, + { name = "pydantic-settings", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 'extra-14-extract-python-mineru') or (extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru')" }, ] sdist = { url = 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marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 'extra-14-extract-python-mineru') or (extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru')" }, + { name = "rfc3339-validator", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 'extra-14-extract-python-mineru') or (extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru')" }, + { name = "rfc3986-validator", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 'extra-14-extract-python-mineru') or (extra == 'extra-14-extract-python-marker' and extra == 'extra-14-extract-python-mineru')" }, + { name = "traitlets", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or (extra == 'extra-14-extract-python-liteparse' and extra == 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