diff --git a/README.md b/README.md index 6d165c4..266801b 100644 --- a/README.md +++ b/README.md @@ -42,13 +42,51 @@ loader = DoclingLoader(file_path=FILE_PATH) docs = loader.load() ``` +### Docling Serve or Managed Docling + +Pass Docling's existing `DoclingServiceClient` as the loader's converter to run +conversion remotely. The same client works with +[Docling for IBM watsonx](https://www.ibm.com/products/docling) and a self-hosted +Docling Serve endpoint: + +```python +import os + +from docling.datamodel.service.options import ConvertDocumentsOptions +from docling.service_client import DoclingServiceClient + +from langchain_docling import DoclingLoader + +service_url = os.environ["DOCLING_SERVICE_URL"] +api_key = os.environ["DOCLING_API_KEY"] +options = ConvertDocumentsOptions( + do_ocr=True, + table_mode="accurate", +) + +with DoclingServiceClient(url=service_url, api_key=api_key) as client: + loader = DoclingLoader( + file_path=["https://arxiv.org/pdf/2408.09869"], + converter=client, + convert_kwargs={"options": options}, + ) + docs = loader.load() +``` + +The loader does not take ownership of a supplied client. Keep the client open +until `load()` completes or until a `lazy_load()` iterator has been fully +consumed. For a self-hosted endpoint that does not require authentication, omit +`api_key`. + ### Advanced usage When initializing a `DoclingLoader`, you can use the following parameters: - `file_path`: source as single str (URL or local file) or iterable thereof -- `converter` (optional): any specific Docling converter instance to use -- `convert_kwargs` (optional): any specific kwargs for conversion execution +- `converter` (optional): a local `DocumentConverter`, remote + `DoclingServiceClient`, or compatible converter +- `convert_kwargs` (optional): backend-specific kwargs for conversion execution, + such as `{"options": ConvertDocumentsOptions(...)}` for the service client - `export_type` (optional): export mode to use: `ExportType.DOC_CHUNKS` (default) or `ExportType.MARKDOWN` - `md_export_kwargs` (optional): any specific Markdown export kwargs (for Markdown mode) diff --git a/langchain_docling/__init__.py b/langchain_docling/__init__.py index f46261d..ddeb8d9 100644 --- a/langchain_docling/__init__.py +++ b/langchain_docling/__init__.py @@ -4,4 +4,5 @@ # """Docling LangChain package.""" -from langchain_docling.loader import DoclingLoader +from langchain_docling.loader import ConversionBackend as ConversionBackend +from langchain_docling.loader import DoclingLoader as DoclingLoader diff --git a/langchain_docling/loader.py b/langchain_docling/loader.py index 9643199..9f19db9 100644 --- a/langchain_docling/loader.py +++ b/langchain_docling/loader.py @@ -6,11 +6,12 @@ """Docling LangChain loader module.""" from abc import ABC, abstractmethod +from collections.abc import Callable, Iterable, Iterator from enum import Enum -from typing import Any, Dict, Iterable, Iterator, Optional, Union +from typing import Any, Protocol from docling.chunking import BaseChunk, BaseChunker, HybridChunker -from docling.datamodel.document import DoclingDocument +from docling.datamodel.document import ConversionResult, DoclingDocument from docling.document_converter import DocumentConverter from langchain_core.document_loaders import BaseLoader from langchain_core.documents import Document @@ -23,6 +24,15 @@ class ExportType(str, Enum): DOC_CHUNKS = "doc_chunks" +class ConversionBackend(Protocol): + """Structural interface for local and service-backed Docling conversion.""" + + @property + def convert(self) -> Callable[..., ConversionResult]: + """Return the backend-specific conversion callable.""" + ... + + class BaseMetaExtractor(ABC): """BaseMetaExtractor.""" @@ -61,24 +71,27 @@ class DoclingLoader(BaseLoader): def __init__( self, - file_path: Union[str, Iterable[str]], + file_path: str | Iterable[str], *, - converter: Optional[DocumentConverter] = None, - convert_kwargs: Optional[Dict[str, Any]] = None, + converter: ConversionBackend | None = None, + convert_kwargs: dict[str, Any] | None = None, export_type: ExportType = ExportType.DOC_CHUNKS, - md_export_kwargs: Optional[dict[str, Any]] = None, - chunker: Optional[BaseChunker] = None, - meta_extractor: Optional[BaseMetaExtractor] = None, + md_export_kwargs: dict[str, Any] | None = None, + chunker: BaseChunker | None = None, + meta_extractor: BaseMetaExtractor | None = None, ): """Initialize with a file path. Args: file_path: File source as single str (URL or local file) or Iterable thereof. - converter: Any specific `DocumentConverter` to use. Defaults to `None` (i.e. - converter defined internally). - convert_kwargs: Any specific kwargs to pass to conversion invocation. - Defaults to `None` (i.e. behavior defined internally). + converter: A local `DocumentConverter`, remote `DoclingServiceClient`, or + compatible conversion backend. Defaults to `None` (i.e. a local + `DocumentConverter` defined internally). + convert_kwargs: Any backend-specific kwargs to pass to the conversion + invocation. For example, pass `options` when using a + `DoclingServiceClient`. Defaults to `None` (i.e. behavior defined + internally). export_type: The type to export to: either `ExportType.MARKDOWN` (outputs Markdown of whole input file) or `ExportType.DOC_CHUNKS` (outputs chunks based on chunker). @@ -97,7 +110,7 @@ def __init__( else [file_path] ) - self._converter: DocumentConverter = converter or DocumentConverter() + self._converter: ConversionBackend = converter or DocumentConverter() self._convert_kwargs = convert_kwargs if convert_kwargs is not None else {} self._export_type = export_type self._md_export_kwargs = ( diff --git a/pyproject.toml b/pyproject.toml index df57188..f3a691b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,7 +33,7 @@ classifiers = [ requires-python = ">=3.10,<4" # syntax without tilde to prevent uv warning dependencies = [ "langchain-core~=1.0", - "docling~=2.26", + "docling~=2.103", ] [project.urls] diff --git a/test/test_loader.py b/test/test_loader.py index d4cf41c..5fe3c29 100644 --- a/test/test_loader.py +++ b/test/test_loader.py @@ -4,6 +4,8 @@ import pytest from docling.chunking import HierarchicalChunker from docling.datamodel.document import DoclingDocument +from docling.datamodel.service.options import ConvertDocumentsOptions +from docling.service_client import DoclingServiceClient from langchain_docling.loader import DoclingLoader, ExportType @@ -79,3 +81,34 @@ def test_load_as_doc_chunks(monkeypatch: pytest.MonkeyPatch) -> None: with open(exp_file, encoding="utf-8") as f: exp_data = json.load(f) assert act_data == exp_data + + +def test_service_client_load_preserves_chunk_metadata( + monkeypatch: pytest.MonkeyPatch, +) -> None: + file_path = "https://example.com/foo.pdf" + options = ConvertDocumentsOptions(do_ocr=False) + mock_dl_doc = DoclingDocument.load_from_json("test/data/input/dl_doc_1.json") + mock_response = MagicMock() + mock_response.document = mock_dl_doc + + with DoclingServiceClient(url="https://docling.example.com") as client: + convert = MagicMock(return_value=mock_response) + monkeypatch.setattr(client, "convert", convert) + loader = DoclingLoader( + file_path=file_path, + converter=client, + convert_kwargs={"options": options}, + export_type=ExportType.DOC_CHUNKS, + chunker=HierarchicalChunker(), + ) + + documents = loader.load() + + convert.assert_called_once_with(source=file_path, options=options) + assert len(documents) == 2 + assert all(document.metadata["source"] == file_path for document in documents) + assert all("dl_meta" in document.metadata for document in documents) + assert [document.page_content for document in documents] == [ + chunk.text for chunk in HierarchicalChunker().chunk(mock_dl_doc) + ] diff --git a/uv.lock b/uv.lock index 9e8cb40..12d4f25 100644 --- a/uv.lock +++ b/uv.lock @@ -401,7 +401,7 @@ name = "colorlog" version = "6.10.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "colorama", marker = "python_full_version < '3.14' and sys_platform == 'win32'" }, + { 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