mirror of
https://github.com/DS4SD/docling.git
synced 2025-07-25 19:44:34 +00:00
Merge branch 'main' into html_backend
Signed-off-by: vaaale <2428222+vaaale@users.noreply.github.com>
This commit is contained in:
commit
064a236ebf
3
.gitattributes
vendored
Normal file
3
.gitattributes
vendored
Normal file
@ -0,0 +1,3 @@
|
||||
tests/data/** linguist-vendored
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tests/data_scanned/** linguist-vendored
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docs/** linguist-vendored
|
@ -12,6 +12,12 @@ from typing import Annotated, Dict, List, Optional, Type
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import rich.table
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import typer
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from docling_core.transforms.serializer.html import (
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HTMLDocSerializer,
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HTMLOutputStyle,
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HTMLParams,
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)
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from docling_core.transforms.visualizer.layout_visualizer import LayoutVisualizer
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from docling_core.types.doc import ImageRefMode
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from docling_core.utils.file import resolve_source_to_path
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from pydantic import TypeAdapter
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@ -156,6 +162,7 @@ def export_documents(
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export_json: bool,
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export_html: bool,
|
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export_html_split_page: bool,
|
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show_layout: bool,
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export_md: bool,
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export_txt: bool,
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export_doctags: bool,
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@ -189,9 +196,27 @@ def export_documents(
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if export_html_split_page:
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fname = output_dir / f"{doc_filename}.html"
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_log.info(f"writing HTML output to {fname}")
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conv_res.document.save_as_html(
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filename=fname, image_mode=image_export_mode, split_page_view=True
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)
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if show_layout:
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ser = HTMLDocSerializer(
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doc=conv_res.document,
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params=HTMLParams(
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image_mode=image_export_mode,
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output_style=HTMLOutputStyle.SPLIT_PAGE,
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),
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)
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visualizer = LayoutVisualizer()
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visualizer.params.show_label = False
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ser_res = ser.serialize(
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visualizer=visualizer,
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)
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with open(fname, "w") as fw:
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fw.write(ser_res.text)
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else:
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conv_res.document.save_as_html(
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filename=fname,
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image_mode=image_export_mode,
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split_page_view=True,
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)
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# Export Text format:
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if export_txt:
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@ -250,6 +275,13 @@ def convert( # noqa: C901
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to_formats: List[OutputFormat] = typer.Option(
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None, "--to", help="Specify output formats. Defaults to Markdown."
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||||
),
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show_layout: Annotated[
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bool,
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typer.Option(
|
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...,
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help="If enabled, the page images will show the bounding-boxes of the items.",
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||||
),
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] = False,
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headers: str = typer.Option(
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None,
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"--headers",
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@ -596,6 +628,7 @@ def convert( # noqa: C901
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export_json=export_json,
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export_html=export_html,
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export_html_split_page=export_html_split_page,
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show_layout=show_layout,
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export_md=export_md,
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export_txt=export_txt,
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export_doctags=export_doctags,
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|
@ -334,9 +334,9 @@ class _DocumentConversionInput(BaseModel):
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) -> Optional[InputFormat]:
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"""Guess the input format of a document by checking part of its content."""
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input_format: Optional[InputFormat] = None
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content_str = content.decode("utf-8")
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|
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if mime == "application/xml":
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content_str = content.decode("utf-8")
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match_doctype = re.search(r"<!DOCTYPE [^>]+>", content_str)
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if match_doctype:
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xml_doctype = match_doctype.group()
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@ -358,6 +358,7 @@ class _DocumentConversionInput(BaseModel):
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input_format = InputFormat.XML_JATS
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|
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elif mime == "text/plain":
|
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content_str = content.decode("utf-8")
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if InputFormat.XML_USPTO in formats and content_str.startswith("PATN\r\n"):
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input_format = InputFormat.XML_USPTO
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|
@ -185,13 +185,23 @@ class LayoutModel(BasePageModel):
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||||
).postprocess()
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# processed_clusters, processed_cells = clusters, page.cells
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conv_res.confidence.pages[page.page_no].layout_score = float(
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np.mean([c.confidence for c in processed_clusters])
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)
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with warnings.catch_warnings():
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warnings.filterwarnings(
|
||||
"ignore",
|
||||
"Mean of empty slice|invalid value encountered in scalar divide",
|
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RuntimeWarning,
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"numpy",
|
||||
)
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conv_res.confidence.pages[page.page_no].ocr_score = float(
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np.mean([c.confidence for c in processed_cells if c.from_ocr])
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)
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conv_res.confidence.pages[page.page_no].layout_score = float(
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np.mean([c.confidence for c in processed_clusters])
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)
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conv_res.confidence.pages[page.page_no].ocr_score = float(
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np.mean(
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[c.confidence for c in processed_cells if c.from_ocr]
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)
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)
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page.cells = processed_cells
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page.predictions.layout = LayoutPrediction(
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|
@ -1,4 +1,5 @@
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import re
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import warnings
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||||
from collections.abc import Iterable
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from pathlib import Path
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from typing import Optional
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@ -7,7 +8,7 @@ import numpy as np
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from PIL import ImageDraw
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||||
from pydantic import BaseModel
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from docling.datamodel.base_models import Page, ScoreValue
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from docling.datamodel.base_models import Page
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||||
from docling.datamodel.document import ConversionResult
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from docling.datamodel.settings import settings
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from docling.models.base_model import BasePageModel
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@ -76,11 +77,15 @@ class PagePreprocessingModel(BasePageModel):
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score = self.rate_text_quality(c.text)
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text_scores.append(score)
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conv_res.confidence.pages[page.page_no].parse_score = float(
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np.nanquantile(
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text_scores, q=0.10
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) # To emphasise problems in the parse_score, we take the 10% percentile score of all text cells.
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)
|
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with warnings.catch_warnings():
|
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warnings.filterwarnings(
|
||||
"ignore", "Mean of empty slice", RuntimeWarning, "numpy"
|
||||
)
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conv_res.confidence.pages[page.page_no].parse_score = float(
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np.nanquantile(
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text_scores, q=0.10
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) # To emphasise problems in the parse_score, we take the 10% percentile score of all text cells.
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)
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||||
# DEBUG code:
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||||
def draw_text_boxes(image, cells, show: bool = False):
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|
@ -8,7 +8,7 @@ from docling_core.types.doc import DocItem, ImageRef, PictureItem, TableItem
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||||
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||||
from docling.backend.abstract_backend import AbstractDocumentBackend
|
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from docling.backend.pdf_backend import PdfDocumentBackend
|
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from docling.datamodel.base_models import AssembledUnit, Page, PageConfidenceScores
|
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from docling.datamodel.base_models import AssembledUnit, Page
|
||||
from docling.datamodel.document import ConversionResult
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||||
from docling.datamodel.pipeline_options import PdfPipelineOptions
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||||
from docling.datamodel.settings import settings
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@ -55,11 +55,13 @@ class StandardPdfPipeline(PaginatedPipeline):
|
||||
"When defined, it must point to a folder containing all models required by the pipeline."
|
||||
)
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||||
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||||
self.keep_images = (
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||||
self.pipeline_options.generate_page_images
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||||
or self.pipeline_options.generate_picture_images
|
||||
or self.pipeline_options.generate_table_images
|
||||
)
|
||||
with warnings.catch_warnings(): # deprecated generate_table_images
|
||||
warnings.filterwarnings("ignore", category=DeprecationWarning)
|
||||
self.keep_images = (
|
||||
self.pipeline_options.generate_page_images
|
||||
or self.pipeline_options.generate_picture_images
|
||||
or self.pipeline_options.generate_table_images
|
||||
)
|
||||
|
||||
self.reading_order_model = ReadingOrderModel(options=ReadingOrderOptions())
|
||||
|
||||
@ -210,64 +212,74 @@ class StandardPdfPipeline(PaginatedPipeline):
|
||||
)
|
||||
|
||||
# Generate images of the requested element types
|
||||
if (
|
||||
self.pipeline_options.generate_picture_images
|
||||
or self.pipeline_options.generate_table_images
|
||||
):
|
||||
scale = self.pipeline_options.images_scale
|
||||
for element, _level in conv_res.document.iterate_items():
|
||||
if not isinstance(element, DocItem) or len(element.prov) == 0:
|
||||
continue
|
||||
if (
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||||
isinstance(element, PictureItem)
|
||||
and self.pipeline_options.generate_picture_images
|
||||
) or (
|
||||
isinstance(element, TableItem)
|
||||
and self.pipeline_options.generate_table_images
|
||||
):
|
||||
page_ix = element.prov[0].page_no - 1
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||||
page = next(
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||||
(p for p in conv_res.pages if p.page_no == page_ix),
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||||
cast("Page", None),
|
||||
)
|
||||
assert page is not None
|
||||
assert page.size is not None
|
||||
assert page.image is not None
|
||||
with warnings.catch_warnings(): # deprecated generate_table_images
|
||||
warnings.filterwarnings("ignore", category=DeprecationWarning)
|
||||
if (
|
||||
self.pipeline_options.generate_picture_images
|
||||
or self.pipeline_options.generate_table_images
|
||||
):
|
||||
scale = self.pipeline_options.images_scale
|
||||
for element, _level in conv_res.document.iterate_items():
|
||||
if not isinstance(element, DocItem) or len(element.prov) == 0:
|
||||
continue
|
||||
if (
|
||||
isinstance(element, PictureItem)
|
||||
and self.pipeline_options.generate_picture_images
|
||||
) or (
|
||||
isinstance(element, TableItem)
|
||||
and self.pipeline_options.generate_table_images
|
||||
):
|
||||
page_ix = element.prov[0].page_no - 1
|
||||
page = next(
|
||||
(p for p in conv_res.pages if p.page_no == page_ix),
|
||||
cast("Page", None),
|
||||
)
|
||||
assert page is not None
|
||||
assert page.size is not None
|
||||
assert page.image is not None
|
||||
|
||||
crop_bbox = (
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||||
element.prov[0]
|
||||
.bbox.scaled(scale=scale)
|
||||
.to_top_left_origin(page_height=page.size.height * scale)
|
||||
)
|
||||
crop_bbox = (
|
||||
element.prov[0]
|
||||
.bbox.scaled(scale=scale)
|
||||
.to_top_left_origin(
|
||||
page_height=page.size.height * scale
|
||||
)
|
||||
)
|
||||
|
||||
cropped_im = page.image.crop(crop_bbox.as_tuple())
|
||||
element.image = ImageRef.from_pil(
|
||||
cropped_im, dpi=int(72 * scale)
|
||||
)
|
||||
cropped_im = page.image.crop(crop_bbox.as_tuple())
|
||||
element.image = ImageRef.from_pil(
|
||||
cropped_im, dpi=int(72 * scale)
|
||||
)
|
||||
|
||||
# Aggregate confidence values for document:
|
||||
if len(conv_res.pages) > 0:
|
||||
conv_res.confidence.layout_score = float(
|
||||
np.nanmean(
|
||||
[c.layout_score for c in conv_res.confidence.pages.values()]
|
||||
with warnings.catch_warnings():
|
||||
warnings.filterwarnings(
|
||||
"ignore",
|
||||
category=RuntimeWarning,
|
||||
message="Mean of empty slice|All-NaN slice encountered",
|
||||
)
|
||||
)
|
||||
conv_res.confidence.parse_score = float(
|
||||
np.nanquantile(
|
||||
[c.parse_score for c in conv_res.confidence.pages.values()],
|
||||
q=0.1, # parse score should relate to worst 10% of pages.
|
||||
conv_res.confidence.layout_score = float(
|
||||
np.nanmean(
|
||||
[c.layout_score for c in conv_res.confidence.pages.values()]
|
||||
)
|
||||
)
|
||||
)
|
||||
conv_res.confidence.table_score = float(
|
||||
np.nanmean(
|
||||
[c.table_score for c in conv_res.confidence.pages.values()]
|
||||
conv_res.confidence.parse_score = float(
|
||||
np.nanquantile(
|
||||
[c.parse_score for c in conv_res.confidence.pages.values()],
|
||||
q=0.1, # parse score should relate to worst 10% of pages.
|
||||
)
|
||||
)
|
||||
)
|
||||
conv_res.confidence.ocr_score = float(
|
||||
np.nanmean(
|
||||
[c.ocr_score for c in conv_res.confidence.pages.values()]
|
||||
conv_res.confidence.table_score = float(
|
||||
np.nanmean(
|
||||
[c.table_score for c in conv_res.confidence.pages.values()]
|
||||
)
|
||||
)
|
||||
conv_res.confidence.ocr_score = float(
|
||||
np.nanmean(
|
||||
[c.ocr_score for c in conv_res.confidence.pages.values()]
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
return conv_res
|
||||
|
||||
|
737
poetry.lock
generated
737
poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@ -46,7 +46,7 @@ packages = [{ include = "docling" }]
|
||||
######################
|
||||
python = "^3.9"
|
||||
pydantic = "^2.0.0"
|
||||
docling-core = {version = "^2.29.0", extras = ["chunking"]}
|
||||
docling-core = {version = "^2.31.2", extras = ["chunking"]}
|
||||
docling-ibm-models = "^3.4.0"
|
||||
docling-parse = "^4.0.0"
|
||||
filetype = "^1.2.0"
|
||||
|
8
tests/data/groundtruth/docling_v2/example_08.html.itxt
vendored
Normal file
8
tests/data/groundtruth/docling_v2/example_08.html.itxt
vendored
Normal file
@ -0,0 +1,8 @@
|
||||
item-0 at level 0: unspecified: group _root_
|
||||
item-1 at level 1: section: group header-1
|
||||
item-2 at level 2: section_header: Pivot table with with 1 row header
|
||||
item-3 at level 3: table with [6x4]
|
||||
item-4 at level 2: section_header: Pivot table with 2 row headers
|
||||
item-5 at level 3: table with [6x5]
|
||||
item-6 at level 2: section_header: Equivalent pivot table
|
||||
item-7 at level 3: table with [6x5]
|
2008
tests/data/groundtruth/docling_v2/example_08.html.json
vendored
Normal file
2008
tests/data/groundtruth/docling_v2/example_08.html.json
vendored
Normal file
File diff suppressed because it is too large
Load Diff
29
tests/data/groundtruth/docling_v2/example_08.html.md
vendored
Normal file
29
tests/data/groundtruth/docling_v2/example_08.html.md
vendored
Normal file
@ -0,0 +1,29 @@
|
||||
## Pivot table with with 1 row header
|
||||
|
||||
| Year | Month | Revenue | Cost |
|
||||
|--------|----------|-----------|--------|
|
||||
| 2025 | January | $134 | $162 |
|
||||
| 2025 | February | $150 | $155 |
|
||||
| 2025 | March | $160 | $143 |
|
||||
| 2025 | April | $210 | $150 |
|
||||
| 2025 | May | $280 | $120 |
|
||||
|
||||
## Pivot table with 2 row headers
|
||||
|
||||
| Year | Quarter | Month | Revenue | Cost |
|
||||
|--------|-----------|----------|-----------|--------|
|
||||
| 2025 | Q1 | January | $134 | $162 |
|
||||
| 2025 | Q1 | February | $150 | $155 |
|
||||
| 2025 | Q1 | March | $160 | $143 |
|
||||
| 2025 | Q2 | April | $210 | $150 |
|
||||
| 2025 | Q2 | May | $280 | $120 |
|
||||
|
||||
## Equivalent pivot table
|
||||
|
||||
| Year | Quarter | Month | Revenue | Cost |
|
||||
|--------|-----------|----------|-----------|--------|
|
||||
| 2025 | Q1 | January | $134 | $162 |
|
||||
| 2025 | Q1 | February | $150 | $155 |
|
||||
| 2025 | Q1 | March | $160 | $143 |
|
||||
| 2025 | Q2 | April | $210 | $150 |
|
||||
| 2025 | Q2 | May | $280 | $120 |
|
94
tests/data/groundtruth/docling_v2/textbox.docx.itxt
vendored
Normal file
94
tests/data/groundtruth/docling_v2/textbox.docx.itxt
vendored
Normal file
@ -0,0 +1,94 @@
|
||||
item-0 at level 0: unspecified: group _root_
|
||||
item-1 at level 1: paragraph: Chiayi County Shuishang Township ... mentary School Affiliated Kindergarten
|
||||
item-2 at level 1: paragraph: Infectious Disease Reporting Pro ... r the 113th Academic Year Kindergarten
|
||||
item-3 at level 1: paragraph:
|
||||
item-4 at level 1: section: group textbox
|
||||
item-5 at level 2: paragraph: Student falls ill
|
||||
item-6 at level 2: paragraph:
|
||||
item-7 at level 2: paragraph:
|
||||
item-8 at level 2: list: group list
|
||||
item-9 at level 3: list_item: Suggested Reportable Symptoms:
|
||||
* ... sh
|
||||
* Blisters
|
||||
* Headache
|
||||
* Sore throat
|
||||
item-10 at level 1: list_item:
|
||||
item-11 at level 1: paragraph:
|
||||
item-12 at level 1: paragraph:
|
||||
item-13 at level 1: section: group textbox
|
||||
item-14 at level 2: paragraph: If a caregiver suspects that wit ... the same suggested reportable symptoms
|
||||
item-15 at level 1: paragraph:
|
||||
item-16 at level 1: paragraph:
|
||||
item-17 at level 1: paragraph:
|
||||
item-18 at level 1: paragraph:
|
||||
item-19 at level 1: section: group textbox
|
||||
item-20 at level 2: paragraph: Yes
|
||||
item-21 at level 1: paragraph:
|
||||
item-22 at level 1: paragraph:
|
||||
item-23 at level 1: section: group textbox
|
||||
item-24 at level 2: paragraph: A report must be submitted wi ... saster Prevention Information Network.
|
||||
item-25 at level 2: paragraph: A report must also be submitt ... d Infectious Disease Reporting System.
|
||||
item-26 at level 2: paragraph:
|
||||
item-27 at level 2: paragraph:
|
||||
item-28 at level 1: paragraph:
|
||||
item-29 at level 1: paragraph:
|
||||
item-30 at level 1: paragraph:
|
||||
item-31 at level 1: paragraph:
|
||||
item-32 at level 1: paragraph:
|
||||
item-33 at level 1: paragraph:
|
||||
item-34 at level 1: section: group textbox
|
||||
item-35 at level 2: paragraph: Health Bureau:
|
||||
item-36 at level 2: paragraph: Upon receiving a report from the ... rt to the Centers for Disease Control.
|
||||
item-37 at level 2: list: group list
|
||||
item-38 at level 3: list_item: If necessary, provide health edu ... vidual to undergo specimen collection.
|
||||
item-39 at level 3: list_item: Implement appropriate epidemic p ... the Communicable Disease Control Act.
|
||||
item-40 at level 2: paragraph:
|
||||
item-41 at level 2: paragraph:
|
||||
item-42 at level 1: list: group list
|
||||
item-43 at level 2: list_item:
|
||||
item-44 at level 1: paragraph:
|
||||
item-45 at level 1: section: group textbox
|
||||
item-46 at level 2: paragraph: Department of Education:
|
||||
Collabo ... vention measures at all school levels.
|
||||
item-47 at level 1: paragraph:
|
||||
item-48 at level 1: paragraph:
|
||||
item-49 at level 1: paragraph:
|
||||
item-50 at level 1: paragraph:
|
||||
item-51 at level 1: paragraph:
|
||||
item-52 at level 1: paragraph:
|
||||
item-53 at level 1: paragraph:
|
||||
item-54 at level 1: section: group textbox
|
||||
item-55 at level 2: inline: group group
|
||||
item-56 at level 3: paragraph: The Health Bureau will handle
|
||||
item-57 at level 3: paragraph: reporting and specimen collection
|
||||
item-58 at level 3: paragraph: .
|
||||
item-59 at level 2: paragraph:
|
||||
item-60 at level 2: paragraph:
|
||||
item-61 at level 1: paragraph:
|
||||
item-62 at level 1: paragraph:
|
||||
item-63 at level 1: paragraph:
|
||||
item-64 at level 1: section: group textbox
|
||||
item-65 at level 2: paragraph: Whether the epidemic has eased.
|
||||
item-66 at level 2: paragraph:
|
||||
item-67 at level 2: paragraph:
|
||||
item-68 at level 1: paragraph:
|
||||
item-69 at level 1: section: group textbox
|
||||
item-70 at level 2: paragraph: Whether the test results are pos ... legally designated infectious disease.
|
||||
item-71 at level 2: paragraph: No
|
||||
item-72 at level 1: paragraph:
|
||||
item-73 at level 1: paragraph:
|
||||
item-74 at level 1: section: group textbox
|
||||
item-75 at level 1: paragraph:
|
||||
item-76 at level 1: section: group textbox
|
||||
item-77 at level 1: paragraph:
|
||||
item-78 at level 1: paragraph:
|
||||
item-79 at level 1: section: group textbox
|
||||
item-80 at level 2: paragraph: Case closed.
|
||||
item-81 at level 2: paragraph:
|
||||
item-82 at level 2: paragraph:
|
||||
item-83 at level 2: paragraph: The Health Bureau will carry out ... ters for Disease Control if necessary.
|
||||
item-84 at level 1: paragraph:
|
||||
item-85 at level 1: section: group textbox
|
||||
item-86 at level 1: paragraph:
|
||||
item-87 at level 1: paragraph:
|
||||
item-88 at level 1: paragraph:
|
1470
tests/data/groundtruth/docling_v2/textbox.docx.json
vendored
Normal file
1470
tests/data/groundtruth/docling_v2/textbox.docx.json
vendored
Normal file
File diff suppressed because it is too large
Load Diff
46
tests/data/groundtruth/docling_v2/textbox.docx.md
vendored
Normal file
46
tests/data/groundtruth/docling_v2/textbox.docx.md
vendored
Normal file
@ -0,0 +1,46 @@
|
||||
**Chiayi County Shuishang Township Nanjing Elementary School Affiliated Kindergarten**
|
||||
|
||||
**Infectious Disease Reporting Procedure for the 113th Academic Year Kindergarten**
|
||||
|
||||
**Student falls ill**
|
||||
|
||||
- Suggested Reportable Symptoms:
|
||||
* Fever
|
||||
* Cough
|
||||
* Diarrhea
|
||||
* Vomiting
|
||||
* Rash
|
||||
* Blisters
|
||||
* Headache
|
||||
* Sore throat
|
||||
|
||||
If a caregiver suspects that within one week, a fifth of the class (for classes with more than 15 students) or more than three students (for classes with 15 or fewer students)
|
||||
show the same suggested reportable symptoms
|
||||
|
||||
Yes
|
||||
|
||||
A report must be submitted within 24 hours via the Ministry of Education’s Campus Safety and Disaster Prevention Information Network.
|
||||
|
||||
A report must also be submitted within 48 hours through Chiayi County’s School Suspected Infectious Disease Reporting System.
|
||||
|
||||
**Health Bureau:**
|
||||
|
||||
Upon receiving a report from the kindergarten, conduct a preliminary assessment of the case, and depending on the situation and type of illness, carry out an epidemiological investigation and report to the Centers for Disease Control.
|
||||
|
||||
- If necessary, provide health education and important reminders at the kindergarten, or notify the individual to undergo specimen collection.
|
||||
- Implement appropriate epidemic prevention measures in accordance with the Communicable Disease Control Act.
|
||||
|
||||
Department of Education:
|
||||
Collaborate with the Health Bureau in conducting epidemiological investigations and assist Health Bureau personnel in implementing necessary epidemic prevention measures at all school levels.
|
||||
|
||||
The Health Bureau will handle **reporting and specimen collection** .
|
||||
|
||||
**Whether the epidemic has eased.**
|
||||
|
||||
**Whether the test results are positive for a legally designated infectious disease.**
|
||||
|
||||
No
|
||||
|
||||
**Case closed.**
|
||||
|
||||
The Health Bureau will carry out subsequent related epidemic prevention measures and follow-up, and will request assistance from the Centers for Disease Control if necessary.
|
1
tests/data/html/example_08.html
vendored
1
tests/data/html/example_08.html
vendored
@ -18,4 +18,3 @@
|
||||
</ol>
|
||||
</body>
|
||||
</html>
|
||||
|
||||
|
145
tests/data/html/example_8.html
vendored
145
tests/data/html/example_8.html
vendored
@ -1,145 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html>
|
||||
|
||||
<head>
|
||||
<style>
|
||||
table,
|
||||
th,
|
||||
td {
|
||||
border: 1px solid black;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
|
||||
<h2>Pivot table with with 1 row header</h2>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th>Year</th>
|
||||
<th>Month</th>
|
||||
<th>Revenue</th>
|
||||
<th>Cost</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th rowspan="6">2025</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>January</td>
|
||||
<td>$134</td>
|
||||
<td>$162</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>February</td>
|
||||
<td>$150</td>
|
||||
<td>$155</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>March</td>
|
||||
<td>$160</td>
|
||||
<td>$143</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>April</td>
|
||||
<td>$210</td>
|
||||
<td>$150</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>May</td>
|
||||
<td>$280</td>
|
||||
<td>$120</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
<h2>Pivot table with 2 row headers</h2>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th>Year</th>
|
||||
<th>Quarter</th>
|
||||
<th>Month</th>
|
||||
<th>Revenue</th>
|
||||
<th>Cost</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th rowspan="7">2025</th>
|
||||
<th rowspan="4">Q1</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>January</td>
|
||||
<td>$134</td>
|
||||
<td>$162</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>February</td>
|
||||
<td>$150</td>
|
||||
<td>$155</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>March</td>
|
||||
<td>$160</td>
|
||||
<td>$143</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th rowspan="3">Q2</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>April</td>
|
||||
<td>$210</td>
|
||||
<td>$150</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>May</td>
|
||||
<td>$280</td>
|
||||
<td>$120</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
<h2>Equivalent pivot table</h2>
|
||||
|
||||
<table>
|
||||
<tr>
|
||||
<th>Year</th>
|
||||
<th>Quarter</th>
|
||||
<th>Month</th>
|
||||
<th>Revenue</th>
|
||||
<th>Cost</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<th rowspan="8">2025</th>
|
||||
<th rowspan="4">Q1</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>January</td>
|
||||
<td>$134</td>
|
||||
<td>$162</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>February</td>
|
||||
<td>$150</td>
|
||||
<td>$155</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>March</td>
|
||||
<td>$160</td>
|
||||
<td>$143</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<th rowspan="3">Q2</th>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>April</td>
|
||||
<td>$210</td>
|
||||
<td>$150</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>May</td>
|
||||
<td>$280</td>
|
||||
<td>$120</td>
|
||||
</tr>
|
||||
</table>
|
||||
|
||||
</body>
|
||||
|
||||
</html>
|
@ -39,8 +39,15 @@ def test_e2e_valid_csv_conversions():
|
||||
print(f"converting {csv_path}")
|
||||
|
||||
gt_path = csv_path.parent.parent / "groundtruth" / "docling_v2" / csv_path.name
|
||||
|
||||
conv_result: ConversionResult = converter.convert(csv_path)
|
||||
if csv_path.stem in (
|
||||
"csv-too-few-columns",
|
||||
"csv-too-many-columns",
|
||||
"csv-inconsistent-header",
|
||||
):
|
||||
with warns(UserWarning, match="Inconsistent column lengths"):
|
||||
conv_result: ConversionResult = converter.convert(csv_path)
|
||||
else:
|
||||
conv_result: ConversionResult = converter.convert(csv_path)
|
||||
|
||||
doc: DoclingDocument = conv_result.document
|
||||
|
||||
|
@ -38,17 +38,15 @@ def get_converter():
|
||||
|
||||
def test_compare_legacy_output(test_doc_paths):
|
||||
converter = get_converter()
|
||||
|
||||
res = converter.convert_all(test_doc_paths, raises_on_error=True)
|
||||
|
||||
for conv_res in res:
|
||||
print(f"Results for {conv_res.input.file}")
|
||||
print(
|
||||
json.dumps(
|
||||
conv_res.legacy_document.model_dump(
|
||||
mode="json", by_alias=True, exclude_none=True
|
||||
with pytest.warns(DeprecationWarning, match="Use document instead"):
|
||||
print(
|
||||
json.dumps(
|
||||
conv_res.legacy_document.model_dump(
|
||||
mode="json", by_alias=True, exclude_none=True
|
||||
)
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
# assert res.legacy_output == res.legacy_output_transformed
|
||||
|
@ -4,6 +4,7 @@ import warnings
|
||||
from pathlib import Path
|
||||
from typing import List, Optional
|
||||
|
||||
import pytest
|
||||
from docling_core.types.doc import (
|
||||
DocItem,
|
||||
DoclingDocument,
|
||||
@ -302,9 +303,8 @@ def verify_conversion_result_v1(
|
||||
)
|
||||
|
||||
doc_pred_pages: List[Page] = doc_result.pages
|
||||
doc_pred: DsDocument = doc_result.legacy_document
|
||||
with warnings.catch_warnings():
|
||||
warnings.simplefilter("ignore", DeprecationWarning)
|
||||
with pytest.warns(DeprecationWarning, match="Use document instead"):
|
||||
doc_pred: DsDocument = doc_result.legacy_document
|
||||
doc_pred_md = doc_result.legacy_document.export_to_markdown()
|
||||
doc_pred_dt = doc_result.legacy_document.export_to_document_tokens()
|
||||
|
||||
@ -391,7 +391,7 @@ def verify_conversion_result_v2(
|
||||
doc_pred_pages: List[Page] = doc_result.pages
|
||||
doc_pred: DoclingDocument = doc_result.document
|
||||
doc_pred_md = doc_result.document.export_to_markdown()
|
||||
doc_pred_dt = doc_result.document.export_to_document_tokens()
|
||||
doc_pred_dt = doc_result.document.export_to_doctags()
|
||||
|
||||
engine_suffix = "" if ocr_engine is None else f".{ocr_engine}"
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user