diff --git a/.github/styles/config/vocabularies/Docling/accept.txt b/.github/styles/config/vocabularies/Docling/accept.txt new file mode 100644 index 0000000..6278ec2 --- /dev/null +++ b/.github/styles/config/vocabularies/Docling/accept.txt @@ -0,0 +1,35 @@ +[Dd]ocling +precommit +asgi +async +(?i)urls +uvicorn +[Ww]ebserver +keyfile +[Ww]ebsocket(s?) +[Kk]ubernetes +UI +(?i)vllm +APIs +[Ss]ubprocesses +(?i)api +Kubeflow +(?i)Jobkit +(?i)cpu +(?i)PyTorch +(?i)CUDA +(?i)NVIDIA +(?i)env +Gradio +bool +Ollama +inbody +LGTMs +Dolfi +Lysak +Nikos +Nassar +Panos +Vagenas +Staar +Livathinos diff --git a/.github/vale.ini b/.github/vale.ini new file mode 100644 index 0000000..01525f4 --- /dev/null +++ b/.github/vale.ini @@ -0,0 +1,11 @@ +StylesPath = styles +MinAlertLevel = suggestion +; Packages = write-good, proselint + +Vocab = Docling + +[*.md] +BasedOnStyles = Vale + +[CHANGELOG.md] +BasedOnStyles = diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index ad3817a..4fde0d2 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -21,6 +21,17 @@ repos: pass_filenames: false language: system files: '\.py$' + - repo: https://github.com/errata-ai/vale + rev: v3.12.0 # Use latest stable version + hooks: + - id: vale + name: vale sync + pass_filenames: false + args: [sync, "--config=.github/vale.ini"] + - id: vale + name: Spell and Style Check with Vale + args: ["--config=.github/vale.ini"] + files: \.md$ - repo: https://github.com/astral-sh/uv-pre-commit # uv version. rev: 0.7.13 diff --git a/MAINTAINERS.md b/MAINTAINERS.md index a2b8a4f..68db7fb 100644 --- a/MAINTAINERS.md +++ b/MAINTAINERS.md @@ -1,11 +1,11 @@ # MAINTAINERS -- Christoph Auer - [@cau-git](https://github.com/cau-git) -- Michele Dolfi - [@dolfim-ibm](https://github.com/dolfim-ibm) -- Maxim Lysak - [@maxmnemonic](https://github.com/maxmnemonic) -- Nikos Livathinos - [@nikos-livathinos](https://github.com/nikos-livathinos) -- Ahmed Nassar - [@nassarofficial](https://github.com/nassarofficial) -- Panos Vagenas - [@vagenas](https://github.com/vagenas) -- Peter Staar - [@PeterStaar-IBM](https://github.com/PeterStaar-IBM) +- Christoph Auer - [`@cau-git`](https://github.com/cau-git) +- Michele Dolfi - [`@dolfim-ibm`](https://github.com/dolfim-ibm) +- Maxim Lysak - [`@maxmnemonic`](https://github.com/maxmnemonic) +- Nikos Livathinos - [`@nikos-livathinos`](https://github.com/nikos-livathinos) +- Ahmed Nassar - [`@nassarofficial`](https://github.com/nassarofficial) +- Panos Vagenas - [`@vagenas`](https://github.com/vagenas) +- Peter Staar - [`@PeterStaar-IBM`](https://github.com/PeterStaar-IBM) Maintainers can be contacted at [deepsearch-core@zurich.ibm.com](mailto:deepsearch-core@zurich.ibm.com). diff --git a/README.md b/README.md index ef1f774..c015d4c 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ Running [Docling](https://github.com/docling-project/docling) as an API service. - Learning how to [configure the webserver](./docs/configuration.md) - Get to know all [runtime options](./docs/usage.md) of the API -- Explore usefule [deployment examples](./docs/deployment.md) +- Explore useful [deployment examples](./docs/deployment.md) - And more > [!NOTE] Migration to the `v1` API @@ -62,15 +62,15 @@ Available container images: | [`ghcr.io/docling-project/docling-serve-cu126`](https://github.com/docling-project/docling-serve/pkgs/container/docling-serve-cu126)
[`quay.io/docling-project/docling-serve-cu126`](https://quay.io/repository/docling-project/docling-serve-cu126) | Cuda 12.6 image which installs `torch` from the pytorch cu126 index. | `linux/amd64` | 8.7 GB | | [`ghcr.io/docling-project/docling-serve-cu128`](https://github.com/docling-project/docling-serve/pkgs/container/docling-serve-cu128)
[`quay.io/docling-project/docling-serve-cu128`](https://quay.io/repository/docling-project/docling-serve-cu128) | Cuda 12.8 image which installs `torch` from the pytorch cu128 index. | `linux/amd64` | 8.7 GB | -Coming soon: `docling-serve-slim` images will reduce the size by skipping the model weights download. +Coming son: `docling-serve-slim` images will reduce the size by skipping the model weights download. ### Demonstration UI An easy to use UI is available at the `/ui` endpoint. -![ui-input.png](img/ui-input.png) +![Input controllers in the UI](img/ui-input.png) -![ui-output.png](img/ui-output.png) +![Output visualization in the UI](img/ui-output.png) ## Get help and support diff --git a/docling_serve/app.py b/docling_serve/app.py index 7c14fff..7e76fa2 100644 --- a/docling_serve/app.py +++ b/docling_serve/app.py @@ -62,7 +62,7 @@ from docling_serve.orchestrator_factory import get_async_orchestrator from docling_serve.response_preparation import prepare_response from docling_serve.settings import docling_serve_settings from docling_serve.storage import get_scratch -from docling_serve.websocker_notifier import WebsocketNotifier +from docling_serve.websocket_notifier import WebsocketNotifier # Set up custom logging as we'll be intermixes with FastAPI/Uvicorn's logging diff --git a/docling_serve/websocker_notifier.py b/docling_serve/websocket_notifier.py similarity index 100% rename from docling_serve/websocker_notifier.py rename to docling_serve/websocket_notifier.py diff --git a/docs/configuration.md b/docs/configuration.md index db7ba90..7acd7f9 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -7,7 +7,7 @@ server and the actual app-specific configurations. > [!WARNING] > When the server is running with `reload` or with multiple `workers`, uvicorn -> will spawn multiple subprocessed. This invalidates all the values configured +> will spawn multiple subprocesses. This invalidates all the values configured > via the CLI command line options. Please use environment variables in this > type of deployments. @@ -36,7 +36,7 @@ THe following table describes the options to configure the Docling Serve app. | CLI option | ENV | Default | Description | | -----------|-----|---------|-------------| | `--artifacts-path` | `DOCLING_SERVE_ARTIFACTS_PATH` | unset | If set to a valid directory, the model weights will be loaded from this path | -| | `DOCLING_SERVE_STATIC_PATH` | unset | If set to a valid directory, the static assets for the docs and ui will be loaded from this path | +| | `DOCLING_SERVE_STATIC_PATH` | unset | If set to a valid directory, the static assets for the docs and UI will be loaded from this path | | | `DOCLING_SERVE_SCRATCH_PATH` | | If set, this directory will be used as scratch workspace, e.g. storing the results before they get requested. If unset, a temporary created is created for this purpose. | | `--enable-ui` | `DOCLING_SERVE_ENABLE_UI` | `false` | Enable the demonstrator UI. | | | `DOCLING_SERVE_ENABLE_REMOTE_SERVICES` | `false` | Allow pipeline components making remote connections. For example, this is needed when using a vision-language model via APIs. | diff --git a/docs/pre-loading-models.md b/docs/pre-loading-models.md index 92b5c66..28b1835 100644 --- a/docs/pre-loading-models.md +++ b/docs/pre-loading-models.md @@ -74,7 +74,7 @@ This document provides examples for pre-loading docling models to a persistent v Manifest example: [docling-model-cache-job.yaml](./deploy-examples/docling-model-cache-job.yaml) 3. Now we can mount volume in the docling-serve deployment and set env `DOCLING_SERVE_ARTIFACTS_PATH` to point to it. - Following additions to deploymeny should be made: + Following additions to deployment should be made: ```yaml spec: @@ -98,6 +98,6 @@ This document provides examples for pre-loading docling models to a persistent v Make sure that value of `DOCLING_SERVE_ARTIFACTS_PATH` is the same as where models were downloaded and where volume is mounted. - Now when docling-serve is executing tasks, the underlying docling installation will load model weights from mouted volume. + Now when docling-serve is executing tasks, the underlying docling installation will load model weights from mounted volume. Manifest example: [docling-model-cache-deployment.yaml](./deploy-examples/docling-model-cache-deployment.yaml) diff --git a/docs/usage.md b/docs/usage.md index 6344d57..b5f82ae 100644 --- a/docs/usage.md +++ b/docs/usage.md @@ -9,7 +9,7 @@ On top of the source of file (see below), both endpoints support the same parame - `from_formats` (List[str]): Input format(s) to convert from. Allowed values: `docx`, `pptx`, `html`, `image`, `pdf`, `asciidoc`, `md`. Defaults to all formats. - `to_formats` (List[str]): Output format(s) to convert to. Allowed values: `md`, `json`, `html`, `text`, `doctags`. Defaults to `md`. - `pipeline` (str). The choice of which pipeline to use. Allowed values are `standard` and `vlm`. Defaults to `standard`. -- `page_range` (tuple). If speficied, only convert a range of pages. The page number starts at 1. +- `page_range` (tuple). If specified, only convert a range of pages. The page number starts at 1. - `do_ocr` (bool): If enabled, the bitmap content will be processed using OCR. Defaults to `True`. - `image_export_mode`: Image export mode for the document (only in case of JSON, Markdown or HTML). Allowed values: embedded, placeholder, referenced. Optional, defaults to `embedded`. - `force_ocr` (bool): If enabled, replace any existing text with OCR-generated text over the full content. Defaults to `False`. @@ -25,8 +25,8 @@ On top of the source of file (see below), both endpoints support the same parame - `do_picture_classification` (bool): If enabled, classify pictures in documents. Defaults to false. - `do_picture_description` (bool): If enabled, describe pictures in documents. Defaults to false. - `picture_description_area_threshold` (float): Minimum percentage of the area for a picture to be processed with the models. Defaults to 0.05. -- `picture_description_local` (dict): Options for running a local vision-language model in the picture description. The parameters refer to a model hosted on Hugging Face. This parameter is mutually exclusive with picture_description_api. -- `picture_description_api` (dict): API details for using a vision-language model in the picture description. This parameter is mutually exclusive with picture_description_local. +- `picture_description_local` (dict): Options for running a local vision-language model in the picture description. The parameters refer to a model hosted on Hugging Face. This parameter is mutually exclusive with `picture_description_api`. +- `picture_description_api` (dict): API details for using a vision-language model in the picture description. This parameter is mutually exclusive with `picture_description_local`. - `include_images` (bool): If enabled, images will be extracted from the document. Defaults to false. - `images_scale` (float): Scale factor for images. Defaults to 2.0. @@ -307,7 +307,7 @@ Example URLs are: } ``` -- `http://localhost:11434/v1/chat/completions` for the local ollama api, with example `picture_description_api`: +- `http://localhost:11434/v1/chat/completions` for the local Ollama api, with example `picture_description_api`: - the `granite3.2-vision:2b` model ```json @@ -355,7 +355,7 @@ The response can be a JSON Document or a File. Both `/v1/convert/source` and `/v1/convert/file` endpoints are available as asynchronous variants. The advantage of the asynchronous endpoints is the possible to interrupt the connection, check for the progress update and fetch the result. -This approach is more resilient against network stabilities and allows the client application logic to easily interleave conversion with other tasks. +This approach is more resilient against network instabilities and allows the client application logic to easily interleave conversion with other tasks. Launch an asynchronous conversion with: @@ -402,7 +402,7 @@ while task["task_status"] not in ("success", "failure"): ### Subscribe with websockets Using websocket you can get the client application being notified about updates of the conversion task. -To start the websocker connection, use the endpoint: +To start the websocket connection, use the endpoint: - `/v1/status/ws/{task_id}` @@ -417,7 +417,7 @@ Websocket messages are JSON object with the following structure: ```
-Example websocker usage: +Example websocket usage: ```python from websockets.sync.client import connect diff --git a/uv.lock b/uv.lock index 58f51fc..8d92709 100644 --- a/uv.lock +++ b/uv.lock @@ -76,14 +76,14 @@ name = "aiohttp" version = "3.12.14" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "aiohappyeyeballs", marker = "(platform_machine != 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and extra == 'group-13-docling-serve-cpu' and extra == 'group-13-docling-serve-cu124') or (platform_machine == 'x86_64' and extra == 'group-13-docling-serve-cpu' and extra == 'group-13-docling-serve-cu126') or (platform_machine == 'x86_64' and extra == 'group-13-docling-serve-cpu' and extra == 'group-13-docling-serve-cu128') or (platform_machine == 'x86_64' and extra == 'group-13-docling-serve-cpu' and extra == 'group-13-docling-serve-pypi') or (platform_machine == 'x86_64' and extra == 'group-13-docling-serve-cu124' and extra == 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