diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index a2c53127..46137cc8 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -71,7 +71,7 @@ jobs: - run: uv run pylint src packages - run: uv run refurb . - uses: suzuki-shunsuke/github-action-renovate-config-validator@v1.1.1 - test: + test-src: runs-on: ubuntu-latest strategy: matrix: @@ -83,7 +83,34 @@ jobs: enable-cache: true python-version: ${{ matrix.python-version }} - run: uv sync - - run: uv run pytest -n auto + - run: uv run pytest -n auto tests + env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} + GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }} + SEMANTIC_SCHOLAR_API_KEY: ${{ secrets.SEMANTIC_SCHOLAR_API_KEY }} + CROSSREF_API_KEY: ${{ secrets.CROSSREF_API_KEY }} + test-packages: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: [3.11, 3.13] # Our min and max supported Python versions + steps: + - uses: actions/checkout@v5 + - uses: astral-sh/setup-uv@v6 + with: + enable-cache: true + python-version: ${{ matrix.python-version }} + - run: uv sync + - name: Cache Docling models + id: cache-models + uses: actions/cache@v4 + with: + path: | + ~/.cache/docling + key: ${{ runner.os }}-docling-${{ hashFiles('uv.lock') }} + restore-keys: ${{ runner.os }}-docling- + - run: uv run pytest -n auto packages env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} diff --git a/packages/paper-qa-docling/LICENSE b/packages/paper-qa-docling/LICENSE new file mode 100644 index 00000000..8dbd9280 --- /dev/null +++ b/packages/paper-qa-docling/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2025 FutureHouse + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/packages/paper-qa-docling/README.md b/packages/paper-qa-docling/README.md new file mode 100644 index 00000000..127c767e --- /dev/null +++ b/packages/paper-qa-docling/README.md @@ -0,0 +1,18 @@ +# paper-qa-pypdf + + + +[![GitHub](https://img.shields.io/badge/GitHub-black?logo=github&logoColor=white)](https://github.com/Future-House/paper-qa/tree/main/packages/paper-qa-docling) +[![PyPI version](https://badge.fury.io/py/paper-qa-docling.svg)](https://badge.fury.io/py/paper-qa-docling) +[![tests](https://github.com/Future-House/paper-qa/actions/workflows/tests.yml/badge.svg)](https://github.com/Future-House/paper-qa) +![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg) +![PyPI Python Versions](https://img.shields.io/pypi/pyversions/paper-qa-docling) + +PDF reading code backed by +[Docling](https://github.com/docling-project/docling). + +docling logo + +If you use this reader library in your projects, +Docling requests you consider citing them: + diff --git a/packages/paper-qa-docling/pyproject.toml b/packages/paper-qa-docling/pyproject.toml new file mode 100644 index 00000000..6eb09eb9 --- /dev/null +++ b/packages/paper-qa-docling/pyproject.toml @@ -0,0 +1,54 @@ +[build-system] +build-backend = "setuptools.build_meta" +requires = ["setuptools>=64", "setuptools_scm>=8"] + +[project] +authors = [ + {email = "hello@futurehouse.org", name = "FutureHouse technical staff"}, +] +classifiers = [ + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Operating System :: OS Independent", + "Programming Language :: Python :: 3 :: Only", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Programming Language :: Python", + "Topic :: Scientific/Engineering :: Artificial Intelligence", +] +dependencies = [ + "docling-core>=2", # Pin for v2 with DocItem, TextItem, etc. + "docling>=2", # Pin for v2 introducing PdfPipelineOptions + "paper-qa", +] +description = "PaperQA readers implemented using Docling" +dynamic = ["version"] +license = {file = "LICENSE"} +maintainers = [ + {email = "jamesbraza@gmail.com", name = "James Braza"}, + {email = "michael.skarlinski@gmail.com", name = "Michael Skarlinski"}, + {email = "white.d.andrew@gmail.com", name = "Andrew White"}, +] +name = "paper-qa-docling" +readme = "README.md" +requires-python = ">=3.11" + +[project.optional-dependencies] +dev = [ + "docling>=2.56", # Pin for EasyOCR deprecation + "fhlmi>=0.39", # Pin for bytes_to_string + "paper-qa>=5.23", # Pin for PDFParserFn + "pytest-asyncio", + "pytest>=8", # Pin to keep recent +] + +[tool.ruff] +extend = "../../pyproject.toml" + +[tool.setuptools.packages.find] +where = ["src"] + +[tool.setuptools_scm] +root = "../.." +version_file = "src/paperqa_docling/version.py" diff --git a/packages/paper-qa-docling/src/paperqa_docling/__init__.py b/packages/paper-qa-docling/src/paperqa_docling/__init__.py new file mode 100644 index 00000000..2d37bfa2 --- /dev/null +++ b/packages/paper-qa-docling/src/paperqa_docling/__init__.py @@ -0,0 +1,5 @@ +"""Docling-backed readers for PaperQA.""" + +from .reader import parse_pdf_to_pages + +__all__ = ["parse_pdf_to_pages"] diff --git a/packages/paper-qa-docling/src/paperqa_docling/py.typed b/packages/paper-qa-docling/src/paperqa_docling/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/packages/paper-qa-docling/src/paperqa_docling/reader.py b/packages/paper-qa-docling/src/paperqa_docling/reader.py new file mode 100644 index 00000000..d5e9a987 --- /dev/null +++ b/packages/paper-qa-docling/src/paperqa_docling/reader.py @@ -0,0 +1,216 @@ +import collections +import io +import os +from collections.abc import Mapping +from importlib.metadata import version +from pathlib import Path +from typing import Any + +import docling +from docling.datamodel.base_models import ConversionStatus +from docling.datamodel.pipeline_options import PdfPipelineOptions +from docling.document_converter import DocumentConverter, InputFormat, PdfFormatOption +from docling.exceptions import ConversionError +from docling.pipeline.standard_pdf_pipeline import StandardPdfPipeline +from docling_core.types.doc import ( + DescriptionAnnotation, + DocItem, + PictureItem, + TableItem, + TextItem, +) +from paperqa.types import ParsedMedia, ParsedMetadata, ParsedText +from paperqa.utils import ImpossibleParsingError + +DOCLING_VERSION = version(docling.__name__) +DOCLING_IMAGES_SCALE_PER_DPI = ( + 72 # SEE: https://github.com/docling-project/docling/issues/2405 +) + + +def parse_pdf_to_pages( # noqa: PLR0912 + path: str | os.PathLike, + page_size_limit: int | None = None, + parse_media: bool = True, + pipeline_cls: type = StandardPdfPipeline, + dpi: int | None = None, + custom_pipeline_options: Mapping[str, Any] | None = None, + **_, +) -> ParsedText: + """Parse a PDF. + + Args: + path: Path to the PDF file to parse. + page_size_limit: Sensible character limit one page's text, + used to catch bad PDF reads. + parse_media: Flag to also parse media (e.g. images, tables). + pipeline_cls: Optional custom pipeline class for document conversion. + Default is Docling's standard PDF pipeline. + dpi: Optional DPI (dots per inch) for image resolution. + Default PDF resolution is 72 DPI, so dpi of 144 would render at 2x scale. + custom_pipeline_options: Optional keyword arguments to use to construct the + PDF pipeline's options. + **_: Thrown away kwargs. + """ + path = Path(path) + + if parse_media: + pipeline_options = PdfPipelineOptions( + generate_picture_images=True, + generate_table_images=True, + images_scale=1.0 if dpi is None else dpi / DOCLING_IMAGES_SCALE_PER_DPI, + **(custom_pipeline_options or {}), + ) + else: + pipeline_options = PdfPipelineOptions(**(custom_pipeline_options or {})) + + converter = DocumentConverter( + format_options={ + InputFormat.PDF: PdfFormatOption( + pipeline_options=pipeline_options, pipeline_cls=pipeline_cls + ) + } + ) + try: + # NOTE: this conversion is synchronous, because many backends only support sync + # https://github.com/docling-project/docling/issues/2229#issuecomment-3269019929 + result = converter.convert(path) + except ConversionError as exc: + raise ImpossibleParsingError( + f"PDF reading via {docling.__name__} failed on the PDF at path {path!r}," + " likely this PDF file is corrupt." + ) from exc + if result.status != ConversionStatus.SUCCESS: + raise ImpossibleParsingError( + f"Docling conversion failed with status {result.status.value!r}" + f" for the PDF at path {path!r}." + ) + + doc = result.document + + # NOTE: the list value here is a two-item list of page text, page media. + # It's mutable so we can append text and media as found + content: dict[str, list] = collections.defaultdict(lambda: ["", []]) + total_length = count_media = 0 + + for item, __ in doc.iterate_items(): + if not isinstance(item, DocItem) or not item.prov: + raise NotImplementedError( + f"Didn't yet handle the shape of node item {item}." + ) + + # NOTE: docling pages are 1-indexed + page_nums = [prov.page_no for prov in item.prov] + + if isinstance(item, TextItem): + for page_num in page_nums: + new_text = ( + item.text if not content[str(page_num)][0] else "\n\n" + item.text + ) + total_length += len(new_text) + if page_size_limit and total_length > page_size_limit: + raise ImpossibleParsingError( + f"The text in page {page_num} was {total_length} chars long," + f" which exceeds the {page_size_limit} char limit" + f" for the PDF at path {path}." + ) + content[str(page_num)][0] += new_text + + if parse_media and isinstance(item, PictureItem): # Handle images + image_data = item.get_image(doc) + if image_data: + try: + (page_num,) = page_nums + except ValueError as exc: + raise NotImplementedError( + f"Picture item spanning multiple pages {page_nums}" + " is not yet handled." + ) from exc + + # Convert PIL Image to bytes (PNG format) + img_bytes = io.BytesIO() + image_data.save(img_bytes, format="PNG") + img_bytes.seek(0) # Reset pointer before read to avoid empty data + + media_metadata = { + "type": "picture", + "width": image_data.width, + "height": image_data.height, + "bbox": item.prov[0].bbox.as_tuple(), + "images_scale": pipeline_options.images_scale, + } + annotations = [ + x for x in item.annotations if isinstance(x, DescriptionAnnotation) + ] + if len(annotations) == 1: + # We don't set this text in ParsedMedia.text because it's + # a synthetic description, not actually text in the PDF, + # and we don't want citations going to synthetic text + media_metadata.update( + { + "description_text": annotations[0].text, + "description_provenance": annotations[0].provenance, + } + ) + elif len(annotations) > 1: + raise NotImplementedError( + f"Didn't yet handle 2+ picture description annotations {annotations}." + ) + + content[str(page_num)][1].append( + ParsedMedia( + index=len(content[str(page_num)][1]), + data=img_bytes.read(), + info=media_metadata, + ) + ) + count_media += 1 + + elif parse_media and isinstance(item, TableItem): # Handle tables + table_image_data = item.get_image(doc) + if table_image_data: + try: + (page_num,) = page_nums + except ValueError as exc: + raise NotImplementedError( + f"Table item spanning multiple pages {page_nums}" + " is not yet handled." + ) from exc + + img_bytes = io.BytesIO() + table_image_data.save(img_bytes, format="PNG") + img_bytes.seek(0) # Reset pointer before read to avoid empty data + + content[str(page_num)][1].append( + ParsedMedia( + index=len(content[str(page_num)][1]), + data=img_bytes.read(), + text=item.export_to_markdown(doc), + info={ + "type": "table", + "width": table_image_data.width, + "height": table_image_data.height, + "bbox": item.prov[0].bbox.as_tuple(), + "images_scale": pipeline_options.images_scale, + }, + ) + ) + count_media += 1 + + multimodal_string = f"|multimodal|images_scale={pipeline_options.images_scale}" + ( + "" if not custom_pipeline_options else f"|options={custom_pipeline_options}" + ) + metadata = ParsedMetadata( + parsing_libraries=[f"{docling.__name__} ({DOCLING_VERSION})"], + total_parsed_text_length=total_length, + count_parsed_media=count_media, + name=f"pdf|pipeline={pipeline_cls.__name__}{multimodal_string if parse_media else ''}", + ) + return ParsedText( + # Convert content from list to 2-tuple for return + content={ + pgn: text if not parse_media else (text, images) + for pgn, (text, images) in sorted(content.items(), key=lambda x: int(x[0])) + }, + metadata=metadata, + ) diff --git a/packages/paper-qa-docling/tests/test_paperqa_docling.py b/packages/paper-qa-docling/tests/test_paperqa_docling.py new file mode 100644 index 00000000..21e55947 --- /dev/null +++ b/packages/paper-qa-docling/tests/test_paperqa_docling.py @@ -0,0 +1,200 @@ +import base64 +import json +import os +import re +import time +from pathlib import Path +from typing import cast + +import pytest +from lmi.utils import bytes_to_string +from paperqa import Doc, Docs +from paperqa.readers import PDFParserFn, chunk_pdf +from paperqa.utils import ImpossibleParsingError + +from paperqa_docling import parse_pdf_to_pages + +REPO_ROOT = Path(__file__).parents[3] +STUB_DATA_DIR = REPO_ROOT / "tests" / "stub_data" + + +@pytest.mark.asyncio +async def test_parse_pdf_to_pages() -> None: + assert isinstance(parse_pdf_to_pages, PDFParserFn) + + filepath = STUB_DATA_DIR / "pasa.pdf" + parsed_text = parse_pdf_to_pages(filepath) + assert isinstance(parsed_text.content, dict) + assert "1" in parsed_text.content, "Parsed text should contain page 1" + assert isinstance(parsed_text.content["1"], tuple) + # Weird spaces are because 'Pa S a' is bolded in the original PDF + matches = re.findall( + r"Abstract\n+We introduce PaSa, an advanced Pa ?per S ?e ?a ?rch" + r" agent powered by large language models.", + parsed_text.content["1"][0], + ) + assert len(matches) == 1, "Parsing failed to handle abstract" + + # Check the images in Figure 1 + assert not isinstance(parsed_text.content["2"], str) + p2_text, p2_media = parsed_text.content["2"] + assert "Figure 1" in p2_text, "Expected Figure 1 title" + assert "Crawler" in p2_text, "Expected Figure 1 contents" + # pylint: disable=duplicate-code + (p2_image,) = [m for m in p2_media if m.info["type"] == "picture"] + assert p2_image.index == 0 + assert isinstance(p2_image.data, bytes) + + # Check the image is valid base64 + base64_data = bytes_to_string(p2_image.data) + assert base64_data + assert base64.b64decode(base64_data, validate=True) == p2_image.data + + # Check we can round-trip serialize the image + serde_p2_image = type(p2_image).model_validate_json(p2_image.model_dump_json()) + assert serde_p2_image == p2_image + + # Check useful attributes are present and are JSON serializable + json.dumps(p2_image.info) + for attr in ("width", "height"): + assert ( + p2_image.info[attr] == serde_p2_image.info[attr] + ), "Expected serialization to match original" + dim = p2_image.info[attr] + assert isinstance(dim, int | float) + assert dim > 0, "Edge length should be positive" + + # Check Figure 1 can be used to answer questions + doc = Doc( + docname="He2025", + dockey="stub", + citation=( + 'He, Yichen, et al. "PaSa: An LLM Agent for Comprehensive Academic Paper' + ' Search." *arXiv*, 2025, arXiv:2501.10120v1. Accessed 2025.' + ), + ) + texts = chunk_pdf(parsed_text, doc=doc, chunk_chars=3000, overlap=100) + fig_1_text = texts[1] + assert ( + "Figure 1: Architecture of PaSa" in fig_1_text.text + ), "Expecting Figure 1 for the test to work" + assert fig_1_text.media, "Expecting media to test multimodality" + fig_1_text.text = "stub" # Replace text to confirm multimodality works + docs = Docs() + assert await docs.aadd_texts(texts=[fig_1_text], doc=doc) + for query, substrings_min_counts in ( + ("What actions can the Crawler take?", [(("search", "expand", "stop"), 2)]), + ("What actions can the Selector take?", [(("select", "drop"), 2)]), + ( + "How many User Query are there, and what do they do?", + [(("two", "2"), 2), (("crawler", "selector"), 2)], + ), + ): + session = await docs.aquery(query=query) + assert session.contexts, "Expected contexts to be generated" + assert all( + c.text.text == fig_1_text.text and c.text.media == fig_1_text.media + for c in session.contexts + ), "Expected context to reuse Figure 1's text and media" + for substrings, min_count in cast( + list[tuple[tuple[str, ...], int]], substrings_min_counts + ): + assert ( + sum(x in session.answer.lower() for x in substrings) >= min_count + ), f"Expected {session.answer=} to have at {substrings} present" + + # Check the no-media behavior + parsed_text_no_media = parse_pdf_to_pages(filepath, parse_media=False) + assert isinstance(parsed_text_no_media.content, dict) + assert all(isinstance(c, str) for c in parsed_text_no_media.content.values()) + + # Check our ability to get a high DPI + parsed_text_high_dpi = parse_pdf_to_pages(filepath, dpi=144) + assert isinstance(parsed_text_high_dpi.content, dict) + assert not isinstance(parsed_text_high_dpi.content["2"], str) + p2_text_high_dpi, p2_media_high_dpi = parsed_text_high_dpi.content["2"] + assert "Figure 1" in p2_text_high_dpi, "Expected Figure 1 title" + assert "Crawler" in p2_text_high_dpi, "Expected Figure 1 contents" + (p2_image_high_dpi,) = [m for m in p2_media_high_dpi if m.info["type"] == "picture"] + assert p2_image_high_dpi.info["images_scale"] == 2 + assert p2_image_high_dpi.info["height"] / p2_image.info["height"] == pytest.approx( # type: ignore[operator] + 2, abs=0.01 + ) + assert p2_image_high_dpi.info["width"] / p2_image.info["width"] == pytest.approx( # type: ignore[operator] + 2, abs=0.01 + ) + + # Check metadata + for pt in (parsed_text, parsed_text_no_media, parsed_text_high_dpi): + (parsing_library,) = pt.metadata.parsing_libraries + assert "docling" in parsing_library + assert pt.metadata.name + assert "pdf" in pt.metadata.name + + # Check commonalities across all modes + assert ( + len(parsed_text.content) + == len(parsed_text_no_media.content) + == len(parsed_text_high_dpi.content) + ), "All modes should parse the same number of pages" + + +def test_page_size_limit_denial() -> None: + with pytest.raises(ImpossibleParsingError, match="char limit"): + parse_pdf_to_pages(STUB_DATA_DIR / "paper.pdf", page_size_limit=10) # chars + + +def test_invalid_pdf_is_denied(tmp_path) -> None: + # pylint: disable=duplicate-code + # This PDF content (actually it's a 404 HTML page) was seen with open access + # in June 2025, so let's make sure it's denied + bad_pdf_content = """ +404 Not Found + +

404 Not Found

+
nginx
+ + +""" + + bad_pdf_path = tmp_path / "bad.pdf" + bad_pdf_path.write_text(bad_pdf_content) + + with pytest.raises(ImpossibleParsingError, match="corrupt"): + parse_pdf_to_pages(bad_pdf_path) + + +def test_table_parsing() -> None: + # pylint: disable=duplicate-code + filepath = STUB_DATA_DIR / "influence.pdf" + parsed_text = parse_pdf_to_pages(filepath) + assert isinstance(parsed_text.content, dict) + assert all( + t and t[0] != "\n" and t[-1] != "\n" for t in parsed_text.content.values() + ), "Expected no leading/trailing newlines in parsed text" + assert "1" in parsed_text.content, "Parsed text should contain page 1" + all_tables = { + i: [m for m in pagenum_media[1] if m.info["type"] == "table"] + for i, pagenum_media in parsed_text.content.items() + if isinstance(pagenum_media, tuple) + } + all_tables = {k: v for k, v in all_tables.items() if v} + assert ( + sum(len(tables) for tables in all_tables.values()) >= 2 + ), "Expected a few tables to be parsed for assertions to work" + + +IN_GITHUB_ACTIONS: bool = os.getenv("GITHUB_ACTIONS") == "true" + + +def test_document_timeout_denial() -> None: + tic = time.perf_counter() + with pytest.raises(ImpossibleParsingError, match="partial"): + parse_pdf_to_pages( + STUB_DATA_DIR / "pasa.pdf", custom_pipeline_options={"document_timeout": 1} + ) + if not IN_GITHUB_ACTIONS: # GitHub Actions runners are too noisy in timing + # On 10/3/2025 on a MacBook M3 Pro with 36-GB RAM, reading PaSa took 18.7-sec + assert ( + time.perf_counter() - tic < 10 + ), "Expected document timeout to have taken much less time than a normal read" diff --git a/packages/paper-qa-pymupdf/tests/test_paperqa_pymupdf.py b/packages/paper-qa-pymupdf/tests/test_paperqa_pymupdf.py index 67c79fe2..b10c2fd0 100644 --- a/packages/paper-qa-pymupdf/tests/test_paperqa_pymupdf.py +++ b/packages/paper-qa-pymupdf/tests/test_paperqa_pymupdf.py @@ -51,6 +51,9 @@ async def test_parse_pdf_to_pages() -> None: # Check useful attributes are present and are JSON serializable json.dumps(p2_image.info) for attr in ("width", "height"): + assert ( + p2_image.info[attr] == serde_p2_image.info[attr] + ), "Expected serialization to match original" dim = p2_image.info[attr] assert isinstance(dim, int | float) assert dim > 0, "Edge length should be positive" diff --git a/packages/paper-qa-pypdf/tests/test_paperqa_pypdf.py b/packages/paper-qa-pypdf/tests/test_paperqa_pypdf.py index 6f9da584..fea5311f 100644 --- a/packages/paper-qa-pypdf/tests/test_paperqa_pypdf.py +++ b/packages/paper-qa-pypdf/tests/test_paperqa_pypdf.py @@ -54,7 +54,10 @@ async def test_parse_pdf_to_pages() -> None: # Check useful attributes are present and are JSON serializable json.dumps(p2_image.info) for attr in ("page_width", "page_height"): - dim = serde_p2_image.info[attr] + assert ( + p2_image.info[attr] == serde_p2_image.info[attr] + ), "Expected serialization to match original" + dim = p2_image.info[attr] assert isinstance(dim, int | float) assert dim > 0, "Edge length should be positive" diff --git a/pyproject.toml b/pyproject.toml index c5041924..91b2bba3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,6 +4,7 @@ requires = ["setuptools>=64", "setuptools_scm>=8"] [dependency-groups] dev = [ + "paper-qa-docling[dev]", "paper-qa-pymupdf[dev]", "paper-qa-pypdf[dev]", "paper-qa[dev]", @@ -63,7 +64,7 @@ dev = [ "ipython>=8", # Pin to keep recent "litellm>=1.71", # Lower pin for aiohttp transport adoption "mypy>=1.8", # Pin for mutable-override - "paper-qa[image,ldp,memory,pypdf-media,pymupdf,typing,zotero,local,qdrant]", + "paper-qa[docling,image,ldp,memory,pypdf-media,pymupdf,typing,zotero,local,qdrant]", "prek", "pydantic~=2.11", # Pin for start of model_fields deprecation "pylint-pydantic", @@ -80,6 +81,7 @@ dev = [ "typeguard", "vcrpy>=6", # Pin for https://github.com/kevin1024/vcrpy/issues/884 ] +docling = ["paper-qa-docling"] image = ["fhlmi[image]"] ldp = [ "ldp>=0.25.0,<1", # Lower pin for new LLM client interface, upper pin if v1 introduces breaks @@ -620,6 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