diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..d3ad2b6 --- /dev/null +++ b/.gitattributes @@ -0,0 +1 @@ +test/data/** linguist-vendored diff --git a/.github/actions/setup-poetry/action.yml b/.github/actions/setup-poetry/action.yml deleted file mode 100644 index 853c517..0000000 --- a/.github/actions/setup-poetry/action.yml +++ /dev/null @@ -1,19 +0,0 @@ -name: 'Set up Poetry and install' -description: 'Set up a specific version of Poetry and install dependencies using caching.' -inputs: - python-version: - description: "Version range or exact version of Python or PyPy to use, using SemVer's version range syntax." - default: '3.11' -runs: - using: 'composite' - steps: - - name: Install poetry - run: pipx install poetry==1.8.4 - shell: bash - - uses: actions/setup-python@v5 - with: - python-version: ${{ inputs.python-version }} - cache: 'poetry' - - name: Install dependencies - run: poetry install --all-extras - shell: bash diff --git a/.github/codecov.yml b/.github/codecov.yml new file mode 100644 index 0000000..944d4a0 --- /dev/null +++ b/.github/codecov.yml @@ -0,0 +1,17 @@ +codecov: + # https://docs.codecov.io/docs/comparing-commits + allow_coverage_offsets: true +coverage: + status: + project: + default: + informational: true + target: auto # auto compares coverage to the previous base commit + flags: + - docling + comment: + layout: "reach, diff, flags, files" + behavior: default + require_changes: false # if true: only post the comment if coverage changes + branches: # branch names that can post comment + - "main" diff --git a/.github/scripts/release.sh b/.github/scripts/release.sh index 6cac400..f9ea5d0 100755 --- a/.github/scripts/release.sh +++ b/.github/scripts/release.sh @@ -10,11 +10,12 @@ fi CHGLOG_FILE="${CHGLOG_FILE:-CHANGELOG.md}" # update package version -poetry version "${TARGET_VERSION}" +uvx --from=toml-cli toml set --toml-path=pyproject.toml project.version "${TARGET_VERSION}" +uv lock --upgrade-package docling-core # collect release notes REL_NOTES=$(mktemp) -poetry run semantic-release changelog --unreleased >> "${REL_NOTES}" +uv run --no-sync semantic-release changelog --unreleased >> "${REL_NOTES}" # update changelog TMP_CHGLOG=$(mktemp) @@ -30,7 +31,7 @@ mv "${TMP_CHGLOG}" "${CHGLOG_FILE}" # push changes git config --global user.name 'github-actions[bot]' git config --global user.email 'github-actions[bot]@users.noreply.github.com' -git add pyproject.toml "${CHGLOG_FILE}" +git add pyproject.toml uv.lock "${CHGLOG_FILE}" COMMIT_MSG="chore: bump version to ${TARGET_VERSION} [skip ci]" git commit -m "${COMMIT_MSG}" git push origin main diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml index 9d2f5bb..9de245d 100644 --- a/.github/workflows/cd.yml +++ b/.github/workflows/cd.yml @@ -8,19 +8,10 @@ env: PYTHON_KEYRING_BACKEND: keyring.backends.null.Keyring jobs: - # To be enabled when we add docs - # docs: - # permissions: - # contents: write - # runs-on: ubuntu-latest - # steps: - # - uses: actions/checkout@v4 - # - uses: ./.github/actions/setup-poetry - # - name: Build and push docs - # run: poetry run mkdocs gh-deploy --force - code-checks: uses: ./.github/workflows/checks.yml + with: + push_coverage: false pre-release-check: runs-on: ubuntu-latest outputs: @@ -29,15 +20,20 @@ jobs: - uses: actions/checkout@v4 with: fetch-depth: 0 # for fetching tags, required for semantic-release - - uses: ./.github/actions/setup-poetry + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + - name: Install dependencies + run: uv sync --only-dev - name: Check version of potential release id: version_check run: | - TRGT_VERSION=$(poetry run semantic-release print-version) - echo "TRGT_VERSION=${TRGT_VERSION}" >> $GITHUB_OUTPUT - echo "${TRGT_VERSION}" + TRGT_VERSION=$(uv run --no-sync semantic-release print-version) + echo "TRGT_VERSION=${TRGT_VERSION}" >> "$GITHUB_OUTPUT" + echo "${TRGT_VERSION}" - name: Check notes of potential release - run: poetry run semantic-release changelog --unreleased + run: uv run --no-sync semantic-release changelog --unreleased release: needs: [code-checks, pre-release-check] if: needs.pre-release-check.outputs.TARGET_TAG_V != '' @@ -54,7 +50,12 @@ jobs: with: token: ${{ steps.app-token.outputs.token }} fetch-depth: 0 # for fetching tags, required for semantic-release - - uses: ./.github/actions/setup-poetry + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 + with: + enable-cache: true + - name: Install dependencies + run: uv sync --only-dev - name: Run release script env: GH_TOKEN: ${{ steps.app-token.outputs.token }} diff --git a/.github/workflows/checks.yml b/.github/workflows/checks.yml index 5fdb2e7..c770975 100644 --- a/.github/workflows/checks.yml +++ b/.github/workflows/checks.yml @@ -1,5 +1,13 @@ on: workflow_call: + inputs: + push_coverage: + type: boolean + description: "If true, the coverage results are pushed to codecov.io." + default: true + secrets: + CODECOV_TOKEN: + required: false jobs: run-checks: @@ -9,8 +17,71 @@ jobs: python-version: ['3.9', '3.10', '3.11', '3.12'] steps: - uses: actions/checkout@v4 - - uses: ./.github/actions/setup-poetry + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 with: python-version: ${{ matrix.python-version }} - - name: Run styling check - run: poetry run pre-commit run --all-files + enable-cache: true + - name: pre-commit cache key + run: echo "PY=$(python -VV | sha256sum | cut -d' ' -f1)" >> "$GITHUB_ENV" + - uses: actions/cache@v4 + with: + path: ~/.cache/pre-commit + key: pre-commit|${{ env.PY }}|${{ hashFiles('.pre-commit-config.yaml') }} + - name: Install dependencies + run: uv sync --frozen --all-extras + - name: Check style and run tests + run: pre-commit run --all-files + - name: Upload coverage to Codecov + if: inputs.push_coverage + uses: codecov/codecov-action@v5 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml + + build-package: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ['3.12'] + steps: + - uses: actions/checkout@v4 + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 + with: + python-version: ${{ matrix.python-version }} + enable-cache: true + - name: Install dependencies + run: uv sync --all-extras + - name: Build package + run: uv build + - name: Check content of wheel + run: unzip -l dist/*.whl + - name: Store the distribution packages + uses: actions/upload-artifact@v4 + with: + name: python-package-distributions + path: dist/ + + test-package: + needs: + - build-package + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ['3.12'] + steps: + - name: Download all the dists + uses: actions/download-artifact@v4 + with: + name: python-package-distributions + path: dist/ + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 + with: + python-version: ${{ matrix.python-version }} + enable-cache: true + - name: Install package + run: uv pip install dist/*.whl + - name: Check accessing the DoclingLoader class + run: python -c 'from langchain_docling import DoclingLoader' diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 782a1e7..f8835bc 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -8,20 +8,9 @@ on: - "**" - "!gh-pages" -env: - # disable keyring (https://github.com/actions/runner-images/issues/6185): - PYTHON_KEYRING_BACKEND: keyring.backends.null.Keyring - jobs: code-checks: - if: ${{ github.event_name == 'push' || (github.event.pull_request.head.repo.full_name != 'DS4SD/docling-langchain' && github.event.pull_request.head.repo.full_name != 'ds4sd/docling-langchain') }} + if: ${{ github.event_name == 'push' || github.event.pull_request.head.repo.full_name != 'docling-project/docling-langchain' }} uses: ./.github/workflows/checks.yml - - # To enable when we add the ./docs - # build-docs: - # runs-on: ubuntu-latest - # steps: - # - uses: actions/checkout@v4 - # - uses: ./.github/actions/setup-poetry - # - name: Build docs - # run: poetry run mkdocs build --verbose --clean + secrets: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/pypi.yml b/.github/workflows/pypi.yml index 395f34c..72ac083 100644 --- a/.github/workflows/pypi.yml +++ b/.github/workflows/pypi.yml @@ -7,15 +7,29 @@ on: permissions: contents: read -env: - # disable keyring (https://github.com/actions/runner-images/issues/6185): - PYTHON_KEYRING_BACKEND: keyring.backends.null.Keyring - jobs: build-and-publish: runs-on: ubuntu-latest + strategy: + matrix: + python-version: ['3.12'] + environment: + name: pypi + url: https://pypi.org/p/langchain-docling + permissions: + id-token: write # IMPORTANT: mandatory for trusted publishing steps: - uses: actions/checkout@v4 - - uses: ./.github/actions/setup-poetry - - name: Build and publish - run: poetry publish --build --no-interaction --username=__token__ --password=${{ secrets.PYPI_TOKEN }} + - name: Install uv and set the python version + uses: astral-sh/setup-uv@v5 + with: + python-version: ${{ matrix.python-version }} + enable-cache: true + - name: Install dependencies + run: uv sync --all-extras + - name: Build package + run: uv build + - name: Publish distribution 📦 to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 + with: + attestations: true diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index b228845..e391222 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -4,54 +4,53 @@ repos: hooks: - id: black name: Black - entry: poetry run black langchain_docling test + entry: uv run --no-sync black langchain_docling test pass_filenames: false language: system files: '\.py$' - id: isort name: isort - entry: poetry run isort langchain_docling test + entry: uv run --no-sync isort langchain_docling test pass_filenames: false language: system files: '\.py$' - id: autoflake name: autoflake - entry: poetry run autoflake langchain_docling test + entry: uv run --no-sync autoflake langchain_docling test pass_filenames: false language: system files: '\.py$' - id: mypy name: MyPy - entry: poetry run mypy langchain_docling test + entry: uv run --no-sync mypy langchain_docling test pass_filenames: false language: system files: '\.py$' - id: flake8 name: Flake8 - entry: poetry run flake8 langchain_docling + entry: uv run --no-sync flake8 langchain_docling pass_filenames: false language: system files: '\.py$' - id: pytest name: Pytest - entry: poetry run pytest test/ + entry: uv run --no-sync pytest --cov=langchain_docling --cov-report=xml test pass_filenames: false language: system files: '\.py$' - id: nbqa_black name: nbQA Black - entry: poetry run nbqa black examples/ + entry: uv run --no-sync nbqa black examples/ pass_filenames: false language: system files: '\.ipynb$' - id: nbqa_isort name: nbQA isort - entry: poetry run nbqa isort examples/ + entry: uv run --no-sync nbqa isort examples/ pass_filenames: false language: system files: '\.ipynb$' - - id: poetry - name: Poetry - entry: poetry check --lock - pass_filenames: false - language: system + - repo: https://github.com/astral-sh/uv-pre-commit + rev: 0.7.8 + hooks: + - id: uv-lock diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index d60221f..805a497 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -2,161 +2,67 @@ Our project welcomes external contributions. If you have an itch, please feel free to scratch it. -To contribute code or documentation, please submit a [pull request](https://github.com/DS4SD/docling-langchain/pulls). - -A good way to familiarize yourself with the codebase and contribution process is -to look for and tackle low-hanging fruit in the [issue tracker](https://github.com/DS4SD/docling/issues). -Before embarking on a more ambitious contribution, please quickly [get in touch](#communication) with us. - -For general questions or support requests, please refer to the [discussion section](https://github.com/DS4SD/docling/discussions). - -**Note: We appreciate your effort and want to avoid situations where a contribution -requires extensive rework (by you or by us), sits in the backlog for a long time, or -cannot be accepted at all!** - -### Proposing New Features - -If you would like to implement a new feature, please [raise an issue](https://github.com/DS4SD/docling/issues) -before sending a pull request so the feature can be discussed. This is to avoid -you spending valuable time working on a feature that the project developers -are not interested in accepting into the codebase. - -### Fixing Bugs - -If you would like to fix a bug, please [raise an issue](https://github.com/DS4SD/docling/issues) before sending a -pull request so it can be tracked. - -### Merge Approval - -The project maintainers use LGTM (Looks Good To Me) in comments on the code -review to indicate acceptance. A change requires LGTMs from two of the -maintainers of each component affected. - -For a list of the maintainers, see the [MAINTAINERS.md](MAINTAINERS.md) page. - - -## Legal - -Each source file must include a license header for the MIT -Software. Using the SPDX format is the simplest approach, -e.g. - -``` -/* -Copyright IBM Inc. All rights reserved. - -SPDX-License-Identifier: MIT -*/ -``` - -We have tried to make it as easy as possible to make contributions. This -applies to how we handle the legal aspects of contribution. We use the -same approach - the [Developer's Certificate of Origin 1.1 (DCO)](https://github.com/hyperledger/fabric/blob/master/docs/source/DCO1.1.txt) - that the Linux® Kernel [community](https://elinux.org/Developer_Certificate_Of_Origin) -uses to manage code contributions. - -We simply ask that when submitting a patch for review, the developer -must include a sign-off statement in the commit message. - -Here is an example Signed-off-by line, which indicates that the -submitter accepts the DCO: - -``` -Signed-off-by: John Doe -``` - -You can include this automatically when you commit a change to your -local git repository using the following command: - -``` -git commit -s -``` - -### New dependencies - -This project strictly adheres to using dependencies that are compatible with the MIT license to ensure maximum flexibility and permissiveness in its usage and distribution. As a result, dependencies licensed under restrictive terms such as GPL, LGPL, AGPL, or similar are explicitly excluded. These licenses impose additional requirements and limitations that are incompatible with the MIT license's minimal restrictions, potentially affecting derivative works and redistribution. By maintaining this policy, the project ensures simplicity and freedom for both developers and users, avoiding conflicts with stricter copyleft provisions. - - -## Communication - -Please feel free to connect with us using the [discussion section](https://github.com/DS4SD/docling/discussions). - - +For more details on the contributing guidelines head to the Docling Project [community repository](https://github.com/docling-project/community). ## Developing -### Usage of Poetry +### Usage of uv -We use Poetry to manage dependencies. +We use [uv](https://docs.astral.sh/uv/) as package and project manager. #### Installation -To install Poetry, follow the documentation here: https://python-poetry.org/docs/master/#installing-with-the-official-installer - -1. Install Poetry globally on your machine: - ```bash - curl -sSL https://install.python-poetry.org | python3 - - ``` - The installation script will print the installation bin folder `POETRY_BIN` which you need in the next steps. - -2. Make sure Poetry is in your `$PATH`: - - for `zsh`: - ```sh - echo 'export PATH="POETRY_BIN:$PATH"' >> ~/.zshrc - ``` - - for `bash`: - ```sh - echo 'export PATH="POETRY_BIN:$PATH"' >> ~/.bashrc - ``` - -3. The official guidelines linked above include useful details on configuring autocomplete for most shell environments, e.g., Bash and Zsh. +To install `uv`, check the documentation on [Installing uv](https://docs.astral.sh/uv/getting-started/installation/). -#### Create a Virtual Environment and Install Dependencies +#### Create an environment and sync it -To activate the Virtual Environment, run: +You can use the `uv sync` to create a project virtual environment (if it does not already exist) and sync +the project's dependencies with the environment. ```bash -poetry shell +uv sync ``` -This will spawn a shell with the Virtual Environment activated. If the Virtual Environment doesn't exist, Poetry will create one for you. Then, to install dependencies, run: +#### Use a specific Python version (optional) -```bash -poetry install -``` - -**(Advanced) Use a Specific Python Version** - -If you need to work with a specific (older) version of Python, run: +If you need to work with a specific version of Python, you can create a new virtual environment for that version +and run the sync command: ```bash -poetry env use $(which python3.9) +uv venv --python 3.12 +uv sync ``` -This creates a Virtual Environment with Python 3.9. For other versions, replace `$(which python3.9)` with the path to the interpreter (e.g., `/usr/bin/python3.9`) or use `$(which pythonX.Y)`. +More detailed options are described on the [Using Python environments](https://docs.astral.sh/uv/pip/environments/) documentation. + +#### Add a new dependency -#### Add a New Dependency +Simply use the `uv add` command. The `pyproject.toml` and `uv.lock` files will be updated. ```bash -poetry add NAME +uv add [OPTIONS] > ``` -## Coding Style Guidelines +### Code sytle guidelines We use the following tools to enforce code style: -- iSort, to sort imports +- isort, to sort imports - Black, to format code +- Flake8, to lint code +- autoflake, to remove unused variables and imports +- [MyPy](https://mypy.readthedocs.io), as static type checker -We run a series of checks on the codebase on every commit using `pre-commit`. To install the hooks, run: +A set of styling checks, as well as regression tests, are defined and managed through the [pre-commit](https://pre-commit.com/) framework. To ensure that those scripts run automatically before a commit is finalized, install `pre-commit` on your local repository: ```bash -pre-commit install +uv run pre-commit install ``` -To run the checks on-demand, run: +To run the checks on-demand, type: ```bash -pre-commit run --all-files +uv run pre-commit run --all-files ``` -Note: Checks like `Black` and `isort` will "fail" if they modify files. This is because `pre-commit` doesn't like to see files modified by its hooks. In these cases, `git add` the modified files and `git commit` again. +Note: Checks like `Black` and `isort` will _fail_ if they modify files. This is because `pre-commit` doesn't like to see files modified by their hooks. In these cases, `git add` the modified files and `git commit` again. diff --git a/README.md b/README.md index 0961708..09b5284 100644 --- a/README.md +++ b/README.md @@ -2,14 +2,14 @@ [![PyPI version](https://img.shields.io/pypi/v/langchain-docling)](https://pypi.org/project/langchain-docling/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/langchain-docling)](https://pypi.org/project/langchain-docling/) -[![Poetry](https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json)](https://python-poetry.org/) +[![uv](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/uv/main/assets/badge/v0.json)](https://github.com/astral-sh/uv) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/) [![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev) [![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit) -[![License MIT](https://img.shields.io/github/license/DS4SD/docling)](https://opensource.org/licenses/MIT) +[![License MIT](https://img.shields.io/github/license/docling-project/docling-langchain)](https://opensource.org/licenses/MIT) -A [Docling](https://github.com/DS4SD/docling) integration for +A [Docling](https://github.com/docling-project/docling) integration for [LangChain](https://github.com/langchain-ai/langchain/). ## Installation @@ -19,6 +19,13 @@ Simply install `langchain-docling` from your package manager, e.g. pip: pip install langchain-docling ``` +### Development setup + +To develop for Docling Core, you need Python >=3.9 <=3.13 and uv. You can then install from your local clone's root dir: +```bash +uv sync +``` + ## Usage ### Basic usage @@ -48,7 +55,7 @@ When initializing a `DoclingLoader`, you can use the following parameters: mode) - `meta_extractor` (optional): any specific metadata extractor to use -### Example +### Docs and examples -For an end-to-end usage example, check out -[this notebook](https://ds4sd.github.io/docling/examples/rag_langchain/). +For more details and usage examples, check out +[this page](https://docling-project.github.io/docling/integrations/langchain/). diff --git a/examples/docling_loader.ipynb b/examples/docling_loader.ipynb index e93ce2d..8321859 100644 --- a/examples/docling_loader.ipynb +++ b/examples/docling_loader.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\"Open" + "\"Open" ] }, { @@ -65,35 +65,18 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Note: you may need to restart the kernel to use updated packages.\n" - ] - } - ], + "outputs": [], "source": [ - "%pip install -q --progress-bar off --no-warn-conflicts langchain-docling langchain-core langchain-huggingface langchain_milvus langchain python-dotenv" + "%pip install --progress-bar off --no-warn-conflicts langchain-docling langchain-core langchain-huggingface langchain_milvus langchain-text-splitters langchain python-dotenv" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/pva/work/github.com/DS4SD/docling-langchain/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "from pathlib import Path\n", @@ -154,24 +137,42 @@ "name": "stderr", "output_type": "stream", "text": [ - "Token indices sequence length is longer than the specified maximum sequence length for this model (1041 > 512). Running this sequence through the model will result in indexing errors\n" + "/Users/pva/work/github.com/DS4SD/docling-langchain/.venv/lib/python3.13/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n", + " warnings.warn(warn_msg)\n", + "/Users/pva/work/github.com/DS4SD/docling-langchain/.venv/lib/python3.13/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.\n", + " warnings.warn(warn_msg)\n", + "Token indices sequence length is longer than the specified maximum sequence length for this model (2938 > 512). Running this sequence through the model will result in indexing errors\n" ] } ], "source": [ "from docling.chunking import HybridChunker\n", + "from docling_core.transforms.chunker.tokenizer.huggingface import HuggingFaceTokenizer\n", "\n", "from langchain_docling import DoclingLoader\n", "\n", "loader = DoclingLoader(\n", " file_path=FILE_PATH,\n", " export_type=EXPORT_TYPE,\n", - " chunker=HybridChunker(tokenizer=EMBED_MODEL_ID),\n", + " chunker=HybridChunker(\n", + " tokenizer=HuggingFaceTokenizer.from_pretrained(\n", + " model_name=EMBED_MODEL_ID,\n", + " ),\n", + " ),\n", ")\n", "\n", "docs = loader.load()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " INFO: Using the HybridChunker can sometimes lead to a warning from the transformers library, however this is a \"false alarm\" — for details check here.\n", + "
" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -218,9 +219,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "- d.page_content='arXiv:2408.09869v5 [cs.CL] 9 Dec 2024'\n", - "- d.page_content='Docling Technical Report\\nVersion 1.0\\nChristoph Auer Maksym Lysak Ahmed Nassar Michele Dolfi Nikolaos Livathinos Panos Vagenas Cesar Berrospi Ramis Matteo Omenetti Fabian Lindlbauer Kasper Dinkla Lokesh Mishra Yusik Kim Shubham Gupta Rafael Teixeira de Lima Valery Weber Lucas Morin Ingmar Meijer Viktor Kuropiatnyk Peter W. J. Staar\\nAI4K Group, IBM Research R¨uschlikon, Switzerland'\n", + "- d.page_content='Docling Technical Report\\nVersion 1.0\\nChristoph Auer Maksym Lysak Ahmed Nassar Michele Dolfi Nikolaos Livathinos Panos Vagenas Cesar Berrospi Ramis Matteo Omenetti Fabian Lindlbauer Kasper Dinkla Lokesh Mishra Yusik Kim Shubham Gupta Rafael Teixeira de Lima Valery Weber Lucas Morin Ingmar Meijer Viktor Kuropiatnyk Peter W. J. Staar\\nAI4K Group, IBM Research R¨ uschlikon, Switzerland'\n", "- d.page_content='Abstract\\nThis technical report introduces Docling , an easy to use, self-contained, MITlicensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table structure recognition (TableFormer), and runs efficiently on commodity hardware in a small resource budget. The code interface allows for easy extensibility and addition of new features and models.'\n", + "- d.page_content='1 Introduction\\nConverting PDF documents back into a machine-processable format has been a major challenge for decades due to their huge variability in formats, weak standardization and printing-optimized characteristic, which discards most structural features and metadata. With the advent of LLMs and popular application patterns such as retrieval-augmented generation (RAG), leveraging the rich content embedded in PDFs has become ever more relevant. In the past decade, several powerful document understanding solutions have emerged on the market, most of which are commercial software, cloud offerings [3] and most recently, multi-modal vision-language models. As of today, only a handful of open-source tools cover PDF conversion, leaving a significant feature and quality gap to proprietary solutions.\\nWith Docling , we open-source a very capable and efficient document conversion tool which builds on the powerful, specialized AI models and datasets for layout analysis and table structure recognition we developed and presented in the recent past [12, 13, 9]. Docling is designed as a simple, self-contained python library with permissive license, running entirely locally on commodity hardware. Its code architecture allows for easy extensibility and addition of new features and models.\\nHere is what Docling delivers today:'\n", "...\n" ] } @@ -242,7 +243,17 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/pva/work/github.com/DS4SD/docling-langchain/.venv/lib/python3.13/site-packages/milvus_lite/__init__.py:15: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81.\n", + " from pkg_resources import DistributionNotFound, get_distribution\n", + "2025-06-10 13:07:04,437 [DEBUG][_create_connection]: Created new connection using: 389aae2914fc4e4bbef2ad66d5c0c1aa (async_milvus_client.py:599)\n" + ] + } + ], "source": [ "import json\n", "from pathlib import Path\n", @@ -295,7 +306,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -306,21 +317,21 @@ "Which are the main AI models in Docling?\n", "\n", "Answer:\n", - "Docling currently supports two main AI models, namely a layout analysis model and a table structure recognition model. The first model is a layout analysis model, an accurate object-detector for page ...\n", + "The main AI models in Docling are a layout analysis model, an accurate object-detector for page elements, and TableFormer, a state-of-the-art table structure recognition model.\n", "\n", "Source 1:\n", " text: \"3.2 AI models\\nAs part of Docling, we initially release two highly capable AI models to the open-source community, which have been developed and published recently by our team. The first model is a layout analysis model, an accurate object-detector for page elements [13]. The second model is TableFormer [12, 9], a state-of-the-art table structure re...\"\n", - " dl_meta: {'schema_name': 'docling_core.transforms.chunker.DocMeta', 'version': '1.0.0', 'doc_items': [{'self_ref': '#/texts/50', 'parent': {'$ref': '#/body'}, 'children': [], 'label': 'text', 'prov': [{'page_no': 3, 'bbox': {'l': 108.0, 't': 405.1419982910156, 'r': 504.00299072265625, 'b': 330.7799987792969, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 608]}]}], 'headings': ['3.2 AI models'], 'origin': {'mimetype': 'application/pdf', 'binary_hash': 11465328351749295394, 'filename': '2408.09869v5.pdf'}}\n", + " dl_meta: {'schema_name': 'docling_core.transforms.chunker.DocMeta', 'version': '1.0.0', 'doc_items': [{'self_ref': '#/texts/50', 'parent': {'$ref': '#/body'}, 'children': [], 'content_layer': 'body', 'label': 'text', 'prov': [{'page_no': 3, 'bbox': {'l': 108.0, 't': 404.873, 'r': 504.003, 'b': 330.866, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 608]}]}], 'headings': ['3.2 AI models'], 'origin': {'mimetype': 'application/pdf', 'binary_hash': 11465328351749295394, 'filename': '2408.09869v5.pdf'}}\n", " source: https://arxiv.org/pdf/2408.09869\n", "\n", "Source 2:\n", " text: \"3 Processing pipeline\\nDocling implements a linear pipeline of operations, which execute sequentially on each given document (see Fig. 1). Each document is first parsed by a PDF backend, which retrieves the programmatic text tokens, consisting of string content and its coordinates on the page, and also renders a bitmap image of each page to support ...\"\n", - " dl_meta: {'schema_name': 'docling_core.transforms.chunker.DocMeta', 'version': '1.0.0', 'doc_items': [{'self_ref': '#/texts/26', 'parent': {'$ref': '#/body'}, 'children': [], 'label': 'text', 'prov': [{'page_no': 2, 'bbox': {'l': 108.0, 't': 273.01800537109375, 'r': 504.00299072265625, 'b': 176.83799743652344, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 796]}]}], 'headings': ['3 Processing pipeline'], 'origin': {'mimetype': 'application/pdf', 'binary_hash': 11465328351749295394, 'filename': '2408.09869v5.pdf'}}\n", + " dl_meta: {'schema_name': 'docling_core.transforms.chunker.DocMeta', 'version': '1.0.0', 'doc_items': [{'self_ref': '#/texts/26', 'parent': {'$ref': '#/body'}, 'children': [], 'content_layer': 'body', 'label': 'text', 'prov': [{'page_no': 2, 'bbox': {'l': 108.0, 't': 272.749, 'r': 504.003, 'b': 176.92399999999998, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 796]}]}], 'headings': ['3 Processing pipeline'], 'origin': {'mimetype': 'application/pdf', 'binary_hash': 11465328351749295394, 'filename': '2408.09869v5.pdf'}}\n", " source: https://arxiv.org/pdf/2408.09869\n", "\n", "Source 3:\n", " text: \"6 Future work and contributions\\nDocling is designed to allow easy extension of the model library and pipelines. In the future, we plan to extend Docling with several more models, such as a figure-classifier model, an equationrecognition model, a code-recognition model and more. This will help improve the quality of conversion for specific types of ...\"\n", - " dl_meta: {'schema_name': 'docling_core.transforms.chunker.DocMeta', 'version': '1.0.0', 'doc_items': [{'self_ref': '#/texts/76', 'parent': {'$ref': '#/body'}, 'children': [], 'label': 'text', 'prov': [{'page_no': 5, 'bbox': {'l': 108.0, 't': 322.468994140625, 'r': 504.00299072265625, 'b': 259.0169982910156, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 543]}]}, {'self_ref': '#/texts/77', 'parent': {'$ref': '#/body'}, 'children': [], 'label': 'text', 'prov': [{'page_no': 5, 'bbox': {'l': 108.0, 't': 251.6540069580078, 'r': 504.00299072265625, 'b': 198.99200439453125, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 402]}]}], 'headings': ['6 Future work and contributions'], 'origin': {'mimetype': 'application/pdf', 'binary_hash': 11465328351749295394, 'filename': '2408.09869v5.pdf'}}\n", + " dl_meta: {'schema_name': 'docling_core.transforms.chunker.DocMeta', 'version': '1.0.0', 'doc_items': [{'self_ref': '#/texts/76', 'parent': {'$ref': '#/body'}, 'children': [], 'content_layer': 'body', 'label': 'text', 'prov': [{'page_no': 5, 'bbox': {'l': 108.0, 't': 322.2, 'r': 504.003, 'b': 259.10300000000007, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 543]}]}, {'self_ref': '#/texts/77', 'parent': {'$ref': '#/body'}, 'children': [], 'content_layer': 'body', 'label': 'text', 'prov': [{'page_no': 5, 'bbox': {'l': 108.0, 't': 251.654, 'r': 504.003, 'b': 199.07799999999997, 'coord_origin': 'BOTTOMLEFT'}, 'charspan': [0, 402]}]}], 'headings': ['6 Future work and contributions'], 'origin': {'mimetype': 'application/pdf', 'binary_hash': 11465328351749295394, 'filename': '2408.09869v5.pdf'}}\n", " source: https://arxiv.org/pdf/2408.09869\n" ] } @@ -367,7 +378,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - 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"dol@zurich.ibm.com" }, + { name = "Christoph Auer", email = "cau@zurich.ibm.com" }, + { name = "Peter Staar", email = "taa@zurich.ibm.com" }, +] classifiers = [ - "License :: OSI Approved :: MIT License", "Operating System :: MacOS :: MacOS X", "Operating System :: POSIX :: Linux", + "Operating System :: Microsoft :: Windows", "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "Topic :: Scientific/Engineering :: Artificial Intelligence", - "Programming Language :: Python :: 3" + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + ] -packages = [{include = "langchain_docling"}] +requires-python = "~=3.9" +dependencies = [ + "langchain-core~=0.3.19", + "docling~=2.18", +] + +[project.urls] +homepage = "https://github.com/docling-project" +repository = "https://github.com/docling-project/docling-langchain" +issues = "https://github.com/docling-project/docling-langchain/issues" +changelog = "https://github.com/docling-project/docling-langchain/blob/main/CHANGELOG.md" -[tool.poetry.dependencies] -python = ">=3.9,<3.13" -langchain-core = "^0.3.0" -docling = "^2.14.0" +[dependency-groups] +dev = [ + "pre-commit~=3.7", + "mypy~=1.6", + "black~=24.4", + "isort~=5.10", + "autoflake~=2.0", + "flake8~=7.1", + "pycodestyle~=2.10", + "flake8-docstrings~=1.6", + "pep8-naming~=0.13", + "jsondiff~=2.0", + "types-setuptools~=70.3", + "pandas-stubs~=2.1", + "ipykernel~=6.29", + "ipywidgets~=8.1", + "nbqa~=1.9", + "coverage~=7.6", + "pytest~=8.3", + "pytest-cov>=6.1.1", + "python-semantic-release~=7.32", +] -[tool.poetry.group.dev.dependencies] -ipykernel = "^6.29.5" -black = "^24.4.2" -pytest = "^7.1.2" -mypy = "^1.6.0" -isort = "^5.10.1" -pre-commit = "^3.7.1" -autoflake = "^2.0.0" -flake8 = 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{ + "$ref": "#/texts/0" + }, + { + "$ref": "#/texts/1" + } + ], + "name": "_root_", + "label": "unspecified" + }, + "groups": [], + "texts": [ + { + "self_ref": "#/texts/0", + "parent": { + "$ref": "#/body" + }, + "children": [], + "label": "paragraph", + "prov": [], + "orig": "Some text", + "text": "Some text" + }, + { + "self_ref": "#/texts/1", + "parent": { + "$ref": "#/body" + }, + "children": [], + "label": "paragraph", + "prov": [], + "orig": "Another paragraph", + "text": "Another paragraph" + } + ], + "pictures": [], + "tables": [], + "key_value_items": [], + "pages": {} +} diff --git a/test/data/output/lc_doc_chunks_1.json b/test/data/output/lc_doc_chunks_1.json new file mode 100644 index 0000000..94cad29 --- /dev/null +++ b/test/data/output/lc_doc_chunks_1.json @@ -0,0 +1,62 @@ +{ + "root": [ + { + "id": null, + "metadata": { + "source": "https://example.com/foo.pdf", + "dl_meta": { + "schema_name": "docling_core.transforms.chunker.DocMeta", + "version": "1.0.0", + "doc_items": [ + { + "self_ref": "#/texts/0", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "paragraph", + "prov": [] + } + ], + "origin": { + "mimetype": "text/html", + "binary_hash": 42, + "filename": "sample.html" + } + } + }, + "page_content": "Some text", + "type": "Document" + }, + { + "id": null, + "metadata": { + "source": "https://example.com/foo.pdf", + "dl_meta": { + "schema_name": "docling_core.transforms.chunker.DocMeta", + "version": "1.0.0", + "doc_items": [ + { + "self_ref": "#/texts/1", + "parent": { + "$ref": "#/body" + }, + "children": [], + "content_layer": "body", + "label": "paragraph", + "prov": [] + } + ], + "origin": { + "mimetype": "text/html", + "binary_hash": 42, + "filename": "sample.html" + } + } + }, + "page_content": "Another paragraph", + "type": "Document" + } + ] +} diff --git a/test/data/output/lc_doc_md_1.json b/test/data/output/lc_doc_md_1.json new file mode 100644 index 0000000..0ce3496 --- /dev/null +++ b/test/data/output/lc_doc_md_1.json @@ -0,0 +1,12 @@ +{ + "root": [ + { + "id": null, + "metadata": { + "source": "https://example.com/foo.pdf" + }, + "page_content": "Some text\n\nAnother paragraph", + "type": "Document" + } + ] +} diff --git a/test/test_data_gen_flag.py b/test/test_data_gen_flag.py new file mode 100644 index 0000000..a4baff6 --- /dev/null +++ b/test/test_data_gen_flag.py @@ -0,0 +1,9 @@ +import os + +from pydantic import TypeAdapter + +GEN_TEST_DATA = TypeAdapter(bool).validate_python(os.getenv("DOCLING_GEN_TEST_DATA", 0)) + + +def test_gen_test_data_flag(): + assert not GEN_TEST_DATA diff --git a/test/test_loader.py b/test/test_loader.py index d68fe13..0407b16 100644 --- a/test/test_loader.py +++ b/test/test_loader.py @@ -3,134 +3,17 @@ import pytest from docling.chunking import HierarchicalChunker -from docling.datamodel.document import DoclingDocument as DLDocument +from docling.datamodel.document import DoclingDocument from langchain_docling.loader import DoclingLoader, ExportType -in_json_str = json.dumps( - { - "schema_name": "DoclingDocument", - "version": "1.0.0", - "name": "sample", - "origin": { - "mimetype": "text/html", - "binary_hash": 42, - "filename": "sample.html", - }, - "furniture": { - "self_ref": "#/furniture", - "children": [], - "name": "_root_", - "label": "unspecified", - }, - "body": { - "self_ref": "#/body", - "children": [{"$ref": "#/texts/0"}, {"$ref": "#/texts/1"}], - "name": "_root_", - "label": "unspecified", - }, - "groups": [], - "texts": [ - { - "self_ref": "#/texts/0", - "parent": {"$ref": "#/body"}, - "children": [], - "label": "paragraph", - "prov": [], - "orig": "Some text", - "text": "Some text", - }, - { - "self_ref": "#/texts/1", - "parent": {"$ref": "#/body"}, - "children": [], - "label": "paragraph", - "prov": [], - "orig": "Another paragraph", - "text": "Another paragraph", - }, - ], - "pictures": [], - "tables": [], - "key_value_items": [], - "pages": {}, - } -) - - -out_json_obj = { - "root": [ - { - "id": None, - "metadata": { - "source": "https://example.com/foo.pdf", - "dl_meta": { - "schema_name": "docling_core.transforms.chunker.DocMeta", - "version": "1.0.0", - "doc_items": [ - { - "self_ref": "#/texts/0", - "parent": {"$ref": "#/body"}, - "children": [], - "label": "paragraph", - "prov": [], - } - ], - "origin": { - "mimetype": "text/html", - "binary_hash": 42, - "filename": "sample.html", - }, - }, - }, - "page_content": "Some text", - "type": "Document", - }, - { - "id": None, - "metadata": { - "source": "https://example.com/foo.pdf", - "dl_meta": { - "schema_name": "docling_core.transforms.chunker.DocMeta", - "version": "1.0.0", - "doc_items": [ - { - "self_ref": "#/texts/1", - "parent": {"$ref": "#/body"}, - "children": [], - "label": "paragraph", - "prov": [], - } - ], - "origin": { - "mimetype": "text/html", - "binary_hash": 42, - "filename": "sample.html", - }, - }, - }, - "page_content": "Another paragraph", - "type": "Document", - }, - ] -} - -out_md_obj = { - "root": [ - { - "id": None, - "metadata": {"source": "https://example.com/foo.pdf"}, - "page_content": "Some text\n\nAnother paragraph", - "type": "Document", - } - ] -} +from .test_data_gen_flag import GEN_TEST_DATA @pytest.mark.requires("docling") def test_load_as_markdown(monkeypatch: pytest.MonkeyPatch) -> None: - mock_dl_doc = DLDocument.model_validate_json(in_json_str) + mock_dl_doc = DoclingDocument.load_from_json("test/data/input/dl_doc_1.json") mock_response = MagicMock() mock_response.document = mock_dl_doc @@ -152,13 +35,21 @@ def test_load_as_markdown(monkeypatch: pytest.MonkeyPatch) -> None: assert len(act_lc_docs) == 1 act_data = {"root": [lc_doc.model_dump() for lc_doc in act_lc_docs]} - assert act_data == out_md_obj + exp_file = "test/data/output/lc_doc_md_1.json" + if GEN_TEST_DATA: + out = json.dumps(act_data, indent=4) + with open(exp_file, mode="w", encoding="utf-8") as f: + f.write(f"{out}\n") + else: + with open(exp_file, encoding="utf-8") as f: + exp_data = json.load(f) + assert act_data == exp_data @pytest.mark.requires("docling") def test_load_as_doc_chunks(monkeypatch: pytest.MonkeyPatch) -> None: - mock_dl_doc = DLDocument.model_validate_json(in_json_str) + mock_dl_doc = DoclingDocument.load_from_json("test/data/input/dl_doc_1.json") mock_response = MagicMock() mock_response.document = mock_dl_doc @@ -181,4 +72,12 @@ def test_load_as_doc_chunks(monkeypatch: pytest.MonkeyPatch) -> None: assert len(act_lc_docs) == 2 act_data = {"root": [lc_doc.model_dump() for lc_doc in act_lc_docs]} - assert act_data == out_json_obj + exp_file = "test/data/output/lc_doc_chunks_1.json" + if GEN_TEST_DATA: + out = json.dumps(act_data, indent=4) + with open(exp_file, mode="w", encoding="utf-8") as f: + f.write(f"{out}\n") + else: + with open(exp_file, encoding="utf-8") as f: + exp_data = json.load(f) + assert act_data == exp_data diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..c2ef720 --- /dev/null +++ b/uv.lock @@ -0,0 +1,4699 @@ 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