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Apply renamings to DocItemLabel

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Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer 2024-09-25 12:22:02 +02:00
commit 3efc2bbbf4
8 changed files with 290 additions and 328 deletions
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20
CHANGELOG.md
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@ -1,3 +1,23 @@
## [v1.15.0](https://github.com/DS4SD/docling/releases/tag/v1.15.0) - 2024-09-24
### Feature
* Add figure in markdown ([#98](https://github.com/DS4SD/docling/issues/98)) ([`6a03c20`](https://github.com/DS4SD/docling/commit/6a03c208ecc9176b0be413594114ce8a3f213371))
## [v1.14.0](https://github.com/DS4SD/docling/releases/tag/v1.14.0) - 2024-09-24
### Feature
* Add URL support to CLI ([#99](https://github.com/DS4SD/docling/issues/99)) ([`3c46e42`](https://github.com/DS4SD/docling/commit/3c46e4266cf1ad8d3a99aa33636d84d34222b4fe))
### Fix
* Fix OCR setting for pypdfium, minor refactor ([#102](https://github.com/DS4SD/docling/issues/102)) ([`d96b96c`](https://github.com/DS4SD/docling/commit/d96b96c8481a8ae68545a34aaf9b8d5a6637a6be))
### Documentation
* Document CLI, minor README revamp ([#100](https://github.com/DS4SD/docling/issues/100)) ([`f8f2303`](https://github.com/DS4SD/docling/commit/f8f2303348c4bbcb7903ff172746a69607e53271))
## [v1.13.1](https://github.com/DS4SD/docling/releases/tag/v1.13.1) - 2024-09-23 ## [v1.13.1](https://github.com/DS4SD/docling/releases/tag/v1.13.1) - 2024-09-23
### Fix ### Fix

64
docling/cli/main.py
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@ -9,7 +9,6 @@ from typing import Annotated, Iterable, List, Optional
import typer import typer
from docling_core.utils.file import resolve_file_source from docling_core.utils.file import resolve_file_source
from pydantic import AnyUrl
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
@ -181,59 +180,26 @@ def convert(
else: else:
input_doc_paths.append(source) input_doc_paths.append(source)
########################################################################### match backend:
case Backend.PYPDFIUM2:
# The following sections contain a combination of PipelineOptions do_cell_matching = ocr # only do cell matching when OCR enabled
# and PDF Backends for various configurations. pdf_backend = PyPdfiumDocumentBackend
# Uncomment one section at the time to see the differences in the output. case Backend.DOCLING:
do_cell_matching = True
doc_converter = None pdf_backend = DoclingParseDocumentBackend
if backend == Backend.PYPDFIUM2 and not ocr: # PyPdfium without OCR case _:
pipeline_options = PipelineOptions() raise RuntimeError(f"Unexpected backend type {backend}")
pipeline_options.do_ocr = False
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = False
pipeline_options = PipelineOptions(
do_ocr=ocr,
do_table_structure=True,
)
pipeline_options.table_structure_options.do_cell_matching = do_cell_matching
doc_converter = DocumentConverter( doc_converter = DocumentConverter(
pipeline_options=pipeline_options, pipeline_options=pipeline_options,
pdf_backend=PyPdfiumDocumentBackend, pdf_backend=pdf_backend,
) )
elif backend == Backend.PYPDFIUM2.value and ocr: # PyPdfium with OCR
pipeline_options = PipelineOptions()
pipeline_options.do_ocr = False
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
doc_converter = DocumentConverter(
pipeline_options=pipeline_options,
pdf_backend=PyPdfiumDocumentBackend,
)
elif backend == Backend.DOCLING.value and not ocr: # Docling Parse without OCR
pipeline_options = PipelineOptions()
pipeline_options.do_ocr = False
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
doc_converter = DocumentConverter(
pipeline_options=pipeline_options,
pdf_backend=DoclingParseDocumentBackend,
)
elif backend == Backend.DOCLING.value and ocr: # Docling Parse with OCR
pipeline_options = PipelineOptions()
pipeline_options.do_ocr = True
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
doc_converter = DocumentConverter(
pipeline_options=pipeline_options,
pdf_backend=DoclingParseDocumentBackend,
)
###########################################################################
# Define input files # Define input files
input = DocumentConversionInput.from_paths(input_doc_paths) input = DocumentConversionInput.from_paths(input_doc_paths)

6
docling/datamodel/base_models.py
View File

@ -6,7 +6,7 @@ from typing import Annotated, Any, Dict, List, Optional, Tuple, Union
from docling_core.types.experimental.base import BoundingBox, Size from docling_core.types.experimental.base import BoundingBox, Size
from docling_core.types.experimental.document import BaseFigureData, TableCell from docling_core.types.experimental.document import BaseFigureData, TableCell
from docling_core.types.experimental.labels import PageLabel from docling_core.types.experimental.labels import DocItemLabel
from PIL.Image import Image from PIL.Image import Image
from pydantic import BaseModel, ConfigDict, Field, model_validator from pydantic import BaseModel, ConfigDict, Field, model_validator
from typing_extensions import Self from typing_extensions import Self
@ -51,14 +51,14 @@ class OcrCell(Cell):
class Cluster(BaseModel): class Cluster(BaseModel):
id: int id: int
label: PageLabel label: DocItemLabel
bbox: BoundingBox bbox: BoundingBox
confidence: float = 1.0 confidence: float = 1.0
cells: List[Cell] = [] cells: List[Cell] = []
class BasePageElement(BaseModel): class BasePageElement(BaseModel):
label: PageLabel label: DocItemLabel
id: int id: int
page_no: int page_no: int
cluster: Cluster cluster: Cluster

35
docling/datamodel/document.py
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@ -12,7 +12,7 @@ from docling_core.types import Table as DsSchemaTable
from docling_core.types.doc.base import BoundingBox as DsBoundingBox from docling_core.types.doc.base import BoundingBox as DsBoundingBox
from docling_core.types.doc.base import Figure, TableCell from docling_core.types.doc.base import Figure, TableCell
from docling_core.types.experimental.document import DoclingDocument, FileInfo from docling_core.types.experimental.document import DoclingDocument, FileInfo
from docling_core.types.experimental.labels import PageLabel from docling_core.types.experimental.labels import DocItemLabel
from pydantic import BaseModel from pydantic import BaseModel
from typing_extensions import deprecated from typing_extensions import deprecated
@ -35,21 +35,21 @@ from docling.utils.utils import create_file_hash
_log = logging.getLogger(__name__) _log = logging.getLogger(__name__)
layout_label_to_ds_type = { layout_label_to_ds_type = {
PageLabel.TITLE: "title", DocItemLabel.TITLE: "title",
PageLabel.DOCUMENT_INDEX: "table-of-contents", DocItemLabel.DOCUMENT_INDEX: "table-of-contents",
PageLabel.SECTION_HEADER: "subtitle-level-1", DocItemLabel.SECTION_HEADER: "subtitle-level-1",
PageLabel.CHECKBOX_SELECTED: "checkbox-selected", DocItemLabel.CHECKBOX_SELECTED: "checkbox-selected",
PageLabel.CHECKBOX_UNSELECTED: "checkbox-unselected", DocItemLabel.CHECKBOX_UNSELECTED: "checkbox-unselected",
PageLabel.CAPTION: "caption", DocItemLabel.CAPTION: "caption",
PageLabel.PAGE_HEADER: "page-header", DocItemLabel.PAGE_HEADER: "page-header",
PageLabel.PAGE_FOOTER: "page-footer", DocItemLabel.PAGE_FOOTER: "page-footer",
PageLabel.FOOTNOTE: "footnote", DocItemLabel.FOOTNOTE: "footnote",
PageLabel.TABLE: "table", DocItemLabel.TABLE: "table",
PageLabel.FORMULA: "equation", DocItemLabel.FORMULA: "equation",
PageLabel.LIST_ITEM: "paragraph", DocItemLabel.LIST_ITEM: "paragraph",
PageLabel.CODE: "paragraph", DocItemLabel.CODE: "paragraph",
PageLabel.PICTURE: "figure", DocItemLabel.PICTURE: "figure",
PageLabel.TEXT: "paragraph", DocItemLabel.TEXT: "paragraph",
} }
_EMPTY_DOC = DsDocument( _EMPTY_DOC = DsDocument(
@ -330,8 +330,10 @@ class ConvertedDocument(BaseModel):
"paragraph", "paragraph",
"caption", "caption",
"table", "table",
"figure",
], ],
strict_text: bool = False, strict_text: bool = False,
image_placeholder: str = "<!-- image -->",
): ):
return self.output.export_to_markdown( return self.output.export_to_markdown(
delim=delim, delim=delim,
@ -339,6 +341,7 @@ class ConvertedDocument(BaseModel):
main_text_stop=main_text_stop, main_text_stop=main_text_stop,
main_text_labels=main_text_labels, main_text_labels=main_text_labels,
strict_text=strict_text, strict_text=strict_text,
image_placeholder=image_placeholder,
) )
def render_as_text( def render_as_text(

70
docling/models/layout_model.py
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@ -5,7 +5,7 @@ import time
from typing import Iterable, List from typing import Iterable, List
from docling_core.types.experimental.base import CoordOrigin from docling_core.types.experimental.base import CoordOrigin
from docling_core.types.experimental.labels import PageLabel from docling_core.types.experimental.labels import DocItemLabel
from docling_ibm_models.layoutmodel.layout_predictor import LayoutPredictor from docling_ibm_models.layoutmodel.layout_predictor import LayoutPredictor
from PIL import ImageDraw from PIL import ImageDraw
@ -24,23 +24,23 @@ _log = logging.getLogger(__name__)
class LayoutModel: class LayoutModel:
TEXT_ELEM_LABELS = [ TEXT_ELEM_LABELS = [
PageLabel.TEXT, DocItemLabel.TEXT,
PageLabel.FOOTNOTE, DocItemLabel.FOOTNOTE,
PageLabel.CAPTION, DocItemLabel.CAPTION,
PageLabel.CHECKBOX_UNSELECTED, DocItemLabel.CHECKBOX_UNSELECTED,
PageLabel.CHECKBOX_SELECTED, DocItemLabel.CHECKBOX_SELECTED,
PageLabel.SECTION_HEADER, DocItemLabel.SECTION_HEADER,
PageLabel.PAGE_HEADER, DocItemLabel.PAGE_HEADER,
PageLabel.PAGE_FOOTER, DocItemLabel.PAGE_FOOTER,
PageLabel.CODE, DocItemLabel.CODE,
PageLabel.LIST_ITEM, DocItemLabel.LIST_ITEM,
# "Formula", # "Formula",
] ]
PAGE_HEADER_LABELS = [PageLabel.PAGE_HEADER, PageLabel.PAGE_FOOTER] PAGE_HEADER_LABELS = [DocItemLabel.PAGE_HEADER, DocItemLabel.PAGE_FOOTER]
TABLE_LABEL = PageLabel.TABLE TABLE_LABEL = DocItemLabel.TABLE
FIGURE_LABEL = PageLabel.PICTURE FIGURE_LABEL = DocItemLabel.PICTURE
FORMULA_LABEL = PageLabel.FORMULA FORMULA_LABEL = DocItemLabel.FORMULA
def __init__(self, config): def __init__(self, config):
self.config = config self.config = config
@ -51,27 +51,27 @@ class LayoutModel:
def postprocess(self, clusters: List[Cluster], cells: List[Cell], page_height): def postprocess(self, clusters: List[Cluster], cells: List[Cell], page_height):
MIN_INTERSECTION = 0.2 MIN_INTERSECTION = 0.2
CLASS_THRESHOLDS = { CLASS_THRESHOLDS = {
PageLabel.CAPTION: 0.35, DocItemLabel.CAPTION: 0.35,
PageLabel.FOOTNOTE: 0.35, DocItemLabel.FOOTNOTE: 0.35,
PageLabel.FORMULA: 0.35, DocItemLabel.FORMULA: 0.35,
PageLabel.LIST_ITEM: 0.35, DocItemLabel.LIST_ITEM: 0.35,
PageLabel.PAGE_FOOTER: 0.35, DocItemLabel.PAGE_FOOTER: 0.35,
PageLabel.PAGE_HEADER: 0.35, DocItemLabel.PAGE_HEADER: 0.35,
PageLabel.PICTURE: 0.2, # low threshold adjust to capture chemical structures for examples. DocItemLabel.PICTURE: 0.2, # low threshold adjust to capture chemical structures for examples.
PageLabel.SECTION_HEADER: 0.45, DocItemLabel.SECTION_HEADER: 0.45,
PageLabel.TABLE: 0.35, DocItemLabel.TABLE: 0.35,
PageLabel.TEXT: 0.45, DocItemLabel.TEXT: 0.45,
PageLabel.TITLE: 0.45, DocItemLabel.TITLE: 0.45,
PageLabel.DOCUMENT_INDEX: 0.45, DocItemLabel.DOCUMENT_INDEX: 0.45,
PageLabel.CODE: 0.45, DocItemLabel.CODE: 0.45,
PageLabel.CHECKBOX_SELECTED: 0.45, DocItemLabel.CHECKBOX_SELECTED: 0.45,
PageLabel.CHECKBOX_UNSELECTED: 0.45, DocItemLabel.CHECKBOX_UNSELECTED: 0.45,
PageLabel.FORM: 0.45, DocItemLabel.FORM: 0.45,
PageLabel.KEY_VALUE_REGION: 0.45, DocItemLabel.KEY_VALUE_REGION: 0.45,
} }
CLASS_REMAPPINGS = { CLASS_REMAPPINGS = {
PageLabel.DOCUMENT_INDEX: PageLabel.TABLE, DocItemLabel.DOCUMENT_INDEX: DocItemLabel.TABLE,
} }
_log.debug("================= Start postprocess function ====================") _log.debug("================= Start postprocess function ====================")
@ -258,7 +258,7 @@ class LayoutModel:
coord=c["bbox"], origin=CoordOrigin.BOTTOMLEFT coord=c["bbox"], origin=CoordOrigin.BOTTOMLEFT
).to_top_left_origin(page_height), ).to_top_left_origin(page_height),
confidence=c["confidence"], confidence=c["confidence"],
label=PageLabel(c["type"]), label=DocItemLabel(c["type"]),
cells=cluster_cells, cells=cluster_cells,
) )
clusters_out_new.append(c_new) clusters_out_new.append(c_new)
@ -271,7 +271,7 @@ class LayoutModel:
for ix, pred_item in enumerate( for ix, pred_item in enumerate(
self.layout_predictor.predict(page.get_image(scale=1.0)) self.layout_predictor.predict(page.get_image(scale=1.0))
): ):
label = PageLabel( label = DocItemLabel(
pred_item["label"].lower().replace(" ", "_").replace("-", "_") pred_item["label"].lower().replace(" ", "_").replace("-", "_")
) # Temporary, until docling-ibm-model uses docling-core types ) # Temporary, until docling-ibm-model uses docling-core types
cluster = Cluster( cluster = Cluster(

26
docling/utils/layout_utils.py
View File

@ -2,7 +2,7 @@ import copy
import logging import logging
import networkx as nx import networkx as nx
from docling_core.types.experimental.labels import PageLabel from docling_core.types.experimental.labels import DocItemLabel
logger = logging.getLogger("layout_utils") logger = logging.getLogger("layout_utils")
@ -371,7 +371,7 @@ def adapt_bboxes(raw_cells, clusters, orphan_cell_indices):
"Treating cluster " + str(ix) + ", type " + str(new_cluster["type"]) "Treating cluster " + str(ix) + ", type " + str(new_cluster["type"])
) )
logger.debug(" with cells: " + str(new_cluster["cell_ids"])) logger.debug(" with cells: " + str(new_cluster["cell_ids"]))
if len(cluster["cell_ids"]) == 0 and cluster["type"] != PageLabel.PICTURE: if len(cluster["cell_ids"]) == 0 and cluster["type"] != DocItemLabel.PICTURE:
logger.debug(" Empty non-picture, removed") logger.debug(" Empty non-picture, removed")
continue ## Skip this former cluster, now without cells. continue ## Skip this former cluster, now without cells.
new_bbox = adapt_bbox(raw_cells, new_cluster, orphan_cell_indices) new_bbox = adapt_bbox(raw_cells, new_cluster, orphan_cell_indices)
@ -381,14 +381,14 @@ def adapt_bboxes(raw_cells, clusters, orphan_cell_indices):
def adapt_bbox(raw_cells, cluster, orphan_cell_indices): def adapt_bbox(raw_cells, cluster, orphan_cell_indices):
if not (cluster["type"] in [PageLabel.TABLE, PageLabel.PICTURE]): if not (cluster["type"] in [DocItemLabel.TABLE, DocItemLabel.PICTURE]):
## A text-like cluster. The bbox only needs to be around the text cells: ## A text-like cluster. The bbox only needs to be around the text cells:
logger.debug(" Initial bbox: " + str(cluster["bbox"])) logger.debug(" Initial bbox: " + str(cluster["bbox"]))
new_bbox = surrounding_list( new_bbox = surrounding_list(
[raw_cells[cid]["bbox"] for cid in cluster["cell_ids"]] [raw_cells[cid]["bbox"] for cid in cluster["cell_ids"]]
) )
logger.debug(" New bounding box:" + str(new_bbox)) logger.debug(" New bounding box:" + str(new_bbox))
if cluster["type"] == PageLabel.PICTURE: if cluster["type"] == DocItemLabel.PICTURE:
## We only make the bbox completely comprise included text cells: ## We only make the bbox completely comprise included text cells:
logger.debug(" Picture") logger.debug(" Picture")
if len(cluster["cell_ids"]) != 0: if len(cluster["cell_ids"]) != 0:
@ -588,7 +588,7 @@ def set_orphan_as_text(
max_id = -1 max_id = -1
figures = [] figures = []
for cluster in cluster_predictions: for cluster in cluster_predictions:
if cluster["type"] == PageLabel.PICTURE: if cluster["type"] == DocItemLabel.PICTURE:
figures.append(cluster) figures.append(cluster)
if cluster["id"] > max_id: if cluster["id"] > max_id:
@ -639,13 +639,13 @@ def set_orphan_as_text(
# if fig_flag == False and raw_cells[orph_id]["text"] not in line_orphans: # if fig_flag == False and raw_cells[orph_id]["text"] not in line_orphans:
if fig_flag == False and lines_detector == False: if fig_flag == False and lines_detector == False:
# get class from low confidence detections if not set as text: # get class from low confidence detections if not set as text:
class_type = PageLabel.TEXT class_type = DocItemLabel.TEXT
for cluster in cluster_predictions_low: for cluster in cluster_predictions_low:
intersection = compute_intersection( intersection = compute_intersection(
orph_cell["bbox"], cluster["bbox"] orph_cell["bbox"], cluster["bbox"]
) )
class_type = PageLabel.TEXT class_type = DocItemLabel.TEXT
if ( if (
cluster["confidence"] > 0.1 cluster["confidence"] > 0.1
and bb_iou(cluster["bbox"], orph_cell["bbox"]) > 0.4 and bb_iou(cluster["bbox"], orph_cell["bbox"]) > 0.4
@ -719,7 +719,9 @@ def merge_cells(cluster_predictions):
if cluster["id"] == node: if cluster["id"] == node:
lines.append(cluster) lines.append(cluster)
cluster_predictions.remove(cluster) cluster_predictions.remove(cluster)
new_merged_cluster = build_cluster_from_lines(lines, PageLabel.TEXT, max_id) new_merged_cluster = build_cluster_from_lines(
lines, DocItemLabel.TEXT, max_id
)
cluster_predictions.append(new_merged_cluster) cluster_predictions.append(new_merged_cluster)
return cluster_predictions return cluster_predictions
@ -754,9 +756,9 @@ def clean_up_clusters(
# remove clusters that might appear inside tables, or images (such as pdf cells in graphs) # remove clusters that might appear inside tables, or images (such as pdf cells in graphs)
elif img_table == True: elif img_table == True:
if ( if (
cluster_1["type"] == PageLabel.TEXT cluster_1["type"] == DocItemLabel.TEXT
and cluster_2["type"] == PageLabel.PICTURE and cluster_2["type"] == DocItemLabel.PICTURE
or cluster_2["type"] == PageLabel.TABLE or cluster_2["type"] == DocItemLabel.TABLE
): ):
if bb_iou(cluster_1["bbox"], cluster_2["bbox"]) > 0.5: if bb_iou(cluster_1["bbox"], cluster_2["bbox"]) > 0.5:
DuplicateDeletedClusterIDs.append(cluster_1["id"]) DuplicateDeletedClusterIDs.append(cluster_1["id"])
@ -773,7 +775,7 @@ def clean_up_clusters(
# remove tables that have one pdf cell # remove tables that have one pdf cell
if one_cell_table == True: if one_cell_table == True:
if ( if (
cluster_1["type"] == PageLabel.TABLE cluster_1["type"] == DocItemLabel.TABLE
and len(cluster_1["cell_ids"]) < 2 and len(cluster_1["cell_ids"]) < 2
): ):
DuplicateDeletedClusterIDs.append(cluster_1["id"]) DuplicateDeletedClusterIDs.append(cluster_1["id"])

385
poetry.lock generated
View File

@ -13,102 +13,102 @@ files = [
[[package]] [[package]]
name = "aiohttp" name = "aiohttp"
version = "3.10.5" version = "3.10.6"
description = "Async http client/server framework (asyncio)" description = "Async http client/server framework (asyncio)"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
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[package.dependencies] [package.dependencies]
@ -118,7 +118,7 @@ async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
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@ -862,7 +862,7 @@ files = []
develop = false develop = false
[package.dependencies] [package.dependencies]
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[package.source] [package.source]
type = "git" type = "git"
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] ]
[package.extras] [package.extras]
@ -2424,13 +2423,13 @@ langchain-core = ">=0.2.38,<0.3.0"
[[package]] [[package]]
name = "langsmith" name = "langsmith"
version = "0.1.126" version = "0.1.128"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = true optional = true
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
{file = "langsmith-0.1.126-py3-none-any.whl", hash = "sha256:16c38ba5dae37a3cc715b6bc5d87d9579228433c2f34d6fa328345ee2b2bcc2a"}, {file = "langsmith-0.1.128-py3-none-any.whl", hash = "sha256:c1b59d947584be7487ac53dffb4e232704626964011b714fd3d9add4b3694cbc"},
{file = "langsmith-0.1.126.tar.gz", hash = "sha256:40f72e2d1d975473dd69269996053122941c1252915bcea55787607e2a7f949a"}, {file = "langsmith-0.1.128.tar.gz", hash = "sha256:3299e17a659f3c47725c97c47f4445fc34113ac668becce425919866fbcb6ec2"},
] ]
[package.dependencies] [package.dependencies]
@ -2509,13 +2508,13 @@ files = [
[[package]] [[package]]
name = "llama-index-core" name = "llama-index-core"
version = "0.11.12" version = "0.11.13.post1"
description = "Interface between LLMs and your data" description = "Interface between LLMs and your data"
optional = true optional = true
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
files = [ files = [
{file = "llama_index_core-0.11.12-py3-none-any.whl", hash = "sha256:7dc7ead649bac8f09e61c6c8bf93d257f68a7315223552421be4f0ffc3a8054d"}, {file = "llama_index_core-0.11.13.post1-py3-none-any.whl", hash = "sha256:b71021ac86644898e723098a38bfc5f5b98bccb89e194854610b94ce6e3caeec"},
{file = "llama_index_core-0.11.12.tar.gz", hash = "sha256:ce2dd037ff889d9ea6b25872228cc9de614c10445d19377f6ae5c66b93a50c61"}, {file = "llama_index_core-0.11.13.post1.tar.gz", hash = "sha256:2f2041cc176398f71be449e5aadcad261236fcbfdde9deb7d396512aecb3428a"},
] ]
[package.dependencies] [package.dependencies]
@ -4524,23 +4523,6 @@ files = [
flake8 = "6.1.0" flake8 = "6.1.0"
tomli = {version = "*", markers = "python_version < \"3.11\""} tomli = {version = "*", markers = "python_version < \"3.11\""}
[[package]]
name = "pyproject-toml"
version = "0.0.10"
description = "Project intend to implement PEP 517, 518, 621, 631 and so on."
optional = false
python-versions = "*"
files = [
{file = "pyproject-toml-0.0.10.tar.gz", hash = "sha256:f0ce0e9934ecb00c0e529b4a1c380edd3034c4be65516769c5f080bdb23dfcb3"},
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]
[package.dependencies]
jsonschema = "*"
setuptools = ">=42"
toml = "*"
wheel = "*"
[[package]] [[package]]
name = "pyreadline3" name = "pyreadline3"
version = "3.5.4" version = "3.5.4"
@ -6313,17 +6295,6 @@ dev = ["tokenizers[testing]"]
docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"] docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"] testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
[[package]]
name = "toml"
version = "0.10.2"
description = "Python Library for Tom's Obvious, Minimal Language"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
{file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
{file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
]
[[package]] [[package]]
name = "tomli" name = "tomli"
version = "2.0.1" version = "2.0.1"
@ -7314,4 +7285,4 @@ examples = ["langchain-huggingface", "langchain-milvus", "langchain-text-splitte
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.10" python-versions = "^3.10"
content-hash = "ad7eaa5f92a5ad2fefae2b284175e82dc4635dda7f26179f5c94d1be611c157e" content-hash = "3760931d493042f67b037079400af3750ddeece0f0f5c2f9f3c93579f51c5d5c"

6
pyproject.toml
View File

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "docling" name = "docling"
version = "1.13.1" # DO NOT EDIT, updated automatically version = "1.15.0" # DO NOT EDIT, updated automatically
description = "Docling PDF conversion package" description = "Docling PDF conversion package"
authors = ["Christoph Auer <cau@zurich.ibm.com>", "Michele Dolfi <dol@zurich.ibm.com>", "Maxim Lysak <mly@zurich.ibm.com>", "Nikos Livathinos <nli@zurich.ibm.com>", "Ahmed Nassar <ahn@zurich.ibm.com>", "Peter Staar <taa@zurich.ibm.com>"] authors = ["Christoph Auer <cau@zurich.ibm.com>", "Michele Dolfi <dol@zurich.ibm.com>", "Maxim Lysak <mly@zurich.ibm.com>", "Nikos Livathinos <nli@zurich.ibm.com>", "Ahmed Nassar <ahn@zurich.ibm.com>", "Peter Staar <taa@zurich.ibm.com>"]
license = "MIT" license = "MIT"
@ -23,9 +23,9 @@ packages = [{include = "docling"}]
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = "^3.10" python = "^3.10"
pydantic = "^2.0.0" pydantic = "^2.0.0"
docling-core = {git = "ssh://git@github.com/DS4SD/docling-core.git", rev = "622f625df626bee12f15b6218bc831996925bb97"} docling-core = {git = "ssh://git@github.com/DS4SD/docling-core.git", rev = "b50d53c05bf755ddb73c7d33ececdb542877662a"}
docling-ibm-models = "^1.2.0" docling-ibm-models = "^1.2.0"
deepsearch-glm = {git = "ssh://git@github.com/DS4SD/deepsearch-glm.git", rev = "d527b9aff90f5bc7ae86bd19bb6f88dda2cc56ae"} deepsearch-glm = {git = "ssh://git@github.com/DS4SD/deepsearch-glm.git", rev = "f45ad08c02a4bc69f611fef540a8f10df53870b6"}
filetype = "^1.2.0" filetype = "^1.2.0"
pypdfium2 = "^4.30.0" pypdfium2 = "^4.30.0"