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Merge ASCIIDoc and Markdown backends in, fixes

Browse Source 
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer 2024-10-22 11:34:35 +02:00
commit 789b29bb24
12 changed files with 481 additions and 623 deletions
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110
docling/backend/asciidoc_backend.py
View File

@ -26,14 +26,27 @@ from docling.datamodel.document import InputDocument
_log = logging.getLogger(__name__)
class AsciidocBackend(DeclarativeDocumentBackend):
class AsciiDocBackend(DeclarativeDocumentBackend):
def __init__(self, in_doc: InputDocument, path_or_stream: Union[BytesIO, Path]):
super().__init__(in_doc, path_or_stream)
self.path_or_stream = path_or_stream
self.valid = True
try:
if isinstance(self.path_or_stream, BytesIO):
text_stream = self.path_or_stream.getvalue().decode("utf-8")
self.lines = text_stream.split("\n")
if isinstance(self.path_or_stream, Path):
with open(self.path_or_stream, "r", encoding="utf-8") as f:
self.lines = f.readlines()
self.valid = True
except Exception as e:
raise RuntimeError(
f"Could not initialize AsciiDoc backend for file with hash {self.document_hash}."
) from e
return
def is_valid(self) -> bool:
return self.valid
@ -70,22 +83,17 @@ class AsciidocBackend(DeclarativeDocumentBackend):
doc = DoclingDocument(name=docname, origin=origin)
doc = self.parse(doc)
doc = self._parse(doc)
return doc
def parse(self, doc: DoclingDocument):
def _parse(self, doc: DoclingDocument):
"""
Main function that orchestrates the parsing by yielding components:
title, section headers, text, lists, and tables.
"""
content = ""
if isinstance(self.path_or_stream, Path):
with open(self.path_or_stream, "r") as fr:
self.lines = fr.readlines()
# self.lines = file_content.splitlines()
in_list = False
in_table = False
@ -107,8 +115,8 @@ class AsciidocBackend(DeclarativeDocumentBackend):
# line = line.strip()
# Title
if self.is_title(line):
item = self.parse_title(line)
if self._is_title(line):
item = self._parse_title(line)
level = item["level"]
parents[level] = doc.add_text(
@ -116,8 +124,8 @@ class AsciidocBackend(DeclarativeDocumentBackend):
)
# Section headers
elif self.is_section_header(line):
item = self.parse_section_header(line)
elif self._is_section_header(line):
item = self._parse_section_header(line)
level = item["level"]
parents[level] = doc.add_heading(
@ -128,13 +136,13 @@ class AsciidocBackend(DeclarativeDocumentBackend):
parents[k] = None
# Lists
elif self.is_list_item(line):
elif self._is_list_item(line):
print("line: ", line)
item = self.parse_list_item(line)
item = self._parse_list_item(line)
print("parsed list-item: ", item)
level = self.get_current_level(parents)
level = self._get_current_level(parents)
if not in_list:
in_list = True
@ -159,24 +167,26 @@ class AsciidocBackend(DeclarativeDocumentBackend):
indents[level] = None
level -= 1
doc.add_list_item(item["text"], parent=self.get_current_parent(parents))
doc.add_list_item(
item["text"], parent=self._get_current_parent(parents)
)
elif in_list and not self.is_list_item(line):
elif in_list and not self._is_list_item(line):
in_list = False
level = self.get_current_level(parents)
level = self._get_current_level(parents)
parents[level] = None
# Tables
elif line.strip() == "|===" and not in_table: # start of table
in_table = True
elif self.is_table_line(line): # within a table
elif self._is_table_line(line): # within a table
in_table = True
table_data.append(self.parse_table_line(line))
table_data.append(self._parse_table_line(line))
elif in_table and (
(not self.is_table_line(line)) or line.strip() == "|==="
(not self._is_table_line(line)) or line.strip() == "|==="
): # end of table
caption = None
@ -187,16 +197,16 @@ class AsciidocBackend(DeclarativeDocumentBackend):
caption_data = []
data = self.populate_table_as_grid(table_data)
data = self._populate_table_as_grid(table_data)
doc.add_table(
data=data, parent=self.get_current_parent(parents), caption=caption
data=data, parent=self._get_current_parent(parents), caption=caption
)
in_table = False
table_data = []
# Picture
elif self.is_picture(line):
elif self._is_picture(line):
caption = None
if len(caption_data) > 0:
@ -206,7 +216,7 @@ class AsciidocBackend(DeclarativeDocumentBackend):
caption_data = []
item = self.parse_picture(line)
item = self._parse_picture(line)
print(item)
size = None
@ -233,14 +243,14 @@ class AsciidocBackend(DeclarativeDocumentBackend):
doc.add_picture(image=image, caption=caption)
# Caption
elif self.is_caption(line) and len(caption_data) == 0:
item = self.parse_caption(line)
elif self._is_caption(line) and len(caption_data) == 0:
item = self._parse_caption(line)
caption_data.append(item["text"])
elif (
len(line.strip()) > 0 and len(caption_data) > 0
): # allow multiline captions
item = self.parse_text(line)
item = self._parse_text(line)
caption_data.append(item["text"])
# Plain text
@ -248,40 +258,40 @@ class AsciidocBackend(DeclarativeDocumentBackend):
doc.add_text(
text=" ".join(text_data),
label=DocItemLabel.PARAGRAPH,
parent=self.get_current_parent(parents),
parent=self._get_current_parent(parents),
)
text_data = []
elif len(line.strip()) > 0: # allow multiline texts
item = self.parse_text(line)
item = self._parse_text(line)
text_data.append(item["text"])
if len(text_data) > 0:
doc.add_text(
text=" ".join(text_data),
label=DocItemLabel.PARAGRAPH,
parent=self.get_current_parent(parents),
parent=self._get_current_parent(parents),
)
text_data = []
if in_table and len(table_data) > 0:
data = self.populate_table_as_grid(table_data)
doc.add_table(data=data, parent=self.get_current_parent(parents))
data = self._populate_table_as_grid(table_data)
doc.add_table(data=data, parent=self._get_current_parent(parents))
in_table = False
table_data = []
return doc
def get_current_level(self, parents):
def _get_current_level(self, parents):
for k, v in parents.items():
if v == None and k > 0:
return k - 1
return 0
def get_current_parent(self, parents):
def _get_current_parent(self, parents):
for k, v in parents.items():
if v == None and k > 0:
return parents[k - 1]
@ -289,17 +299,17 @@ class AsciidocBackend(DeclarativeDocumentBackend):
return None
# ========= Title
def is_title(self, line):
def _is_title(self, line):
return re.match(r"^= ", line)
def parse_title(self, line):
def _parse_title(self, line):
return {"type": "title", "text": line[2:].strip(), "level": 0}
# ========= Section headers
def is_section_header(self, line):
def _is_section_header(self, line):
return re.match(r"^==+", line)
def parse_section_header(self, line):
def _parse_section_header(self, line):
match = re.match(r"^(=+)\s+(.*)", line)
marker = match.group(1) # The list marker (e.g., "*", "-", "1.")
@ -313,10 +323,10 @@ class AsciidocBackend(DeclarativeDocumentBackend):
}
# ========= Lists
def is_list_item(self, line):
def _is_list_item(self, line):
return re.match(r"^(\s)*(\*|-|\d+\.|\w+\.) ", line)
def parse_list_item(self, line):
def _parse_list_item(self, line):
"""Extract the item marker (number or bullet symbol) and the text of the item."""
match = re.match(r"^(\s*)(\*|-|\d+\.)\s+(.*)", line)
@ -352,14 +362,14 @@ class AsciidocBackend(DeclarativeDocumentBackend):
}
# ========= Tables
def is_table_line(self, line):
def _is_table_line(self, line):
return re.match(r"^\|.*\|", line)
def parse_table_line(self, line):
def _parse_table_line(self, line):
# Split table cells and trim extra spaces
return [cell.strip() for cell in line.split("|") if cell.strip()]
def populate_table_as_grid(self, table_data):
def _populate_table_as_grid(self, table_data):
num_rows = len(table_data)
@ -391,10 +401,10 @@ class AsciidocBackend(DeclarativeDocumentBackend):
return data
# ========= Pictures
def is_picture(self, line):
def _is_picture(self, line):
return re.match(r"^image::", line)
def parse_picture(self, line):
def _parse_picture(self, line):
"""
Parse an image macro, extracting its path and attributes.
Syntax: image::path/to/image.png[Alt Text, width=200, height=150, align=center]
@ -417,10 +427,10 @@ class AsciidocBackend(DeclarativeDocumentBackend):
return {"type": "picture", "uri": line}
# ========= Captions
def is_caption(self, line):
def _is_caption(self, line):
return re.match(r"^\.(.+)", line)
def parse_caption(self, line):
def _parse_caption(self, line):
mtch = re.match(r"^\.(.+)", line)
if mtch:
text = mtch.group(1)
@ -429,5 +439,5 @@ class AsciidocBackend(DeclarativeDocumentBackend):
return {"type": "caption", "text": ""}
# ========= Plain text
def parse_text(self, line):
def _parse_text(self, line):
return {"type": "text", "text": line.strip()}

266
docling/backend/md_backend.py Normal file
View File

@ -0,0 +1,266 @@
import logging
from io import BytesIO
from pathlib import Path
from typing import Set, Union
import marko
import marko.ext
import marko.ext.gfm
import marko.inline
from docling_core.types.doc import (
DocItemLabel,
DoclingDocument,
DocumentOrigin,
GroupLabel,
TableCell,
TableData,
)
from marko import Markdown
from docling.backend.abstract_backend import DeclarativeDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import InputDocument
_log = logging.getLogger(__name__)
class MarkdownDocumentBackend(DeclarativeDocumentBackend):
def __init__(self, in_doc: "InputDocument", path_or_stream: Union[BytesIO, Path]):
super().__init__(in_doc, path_or_stream)
_log.debug("MD INIT!!!")
# Markdown file:
self.path_or_stream = path_or_stream
self.valid = True
self.markdown = "" # To store original Markdown string
self.in_table = False
self.md_table_buffer: list[str] = []
try:
if isinstance(self.path_or_stream, BytesIO):
text_stream = self.path_or_stream.getvalue().decode("utf-8")
self.markdown = text_stream
if isinstance(self.path_or_stream, Path):
with open(self.path_or_stream, "r", encoding="utf-8") as f:
md_content = f.read()
self.markdown = md_content
self.valid = True
_log.debug(self.markdown)
except Exception as e:
raise RuntimeError(
f"Could not initialize MD backend for file with hash {self.document_hash}."
) from e
return
def close_table(self, doc=None):
if self.in_table:
_log.debug("=== TABLE START ===")
for md_table_row in self.md_table_buffer:
_log.debug(md_table_row)
_log.debug("=== TABLE END ===")
tcells = []
result_table = []
for n, md_table_row in enumerate(self.md_table_buffer):
data = []
if n == 0:
header = [t.strip() for t in md_table_row.split("|")[1:-1]]
for value in header:
data.append(value)
result_table.append(data)
if n > 1:
values = [t.strip() for t in md_table_row.split("|")[1:-1]]
for value in values:
data.append(value)
result_table.append(data)
for trow_ind, trow in enumerate(result_table):
for tcol_ind, cellval in enumerate(trow):
row_span = (
1 # currently supporting just simple tables (without spans)
)
col_span = (
1 # currently supporting just simple tables (without spans)
)
icell = TableCell(
text=cellval.strip(),
row_span=row_span,
col_span=col_span,
start_row_offset_idx=trow_ind,
end_row_offset_idx=trow_ind + row_span,
start_col_offset_idx=tcol_ind,
end_col_offset_idx=tcol_ind + col_span,
col_header=False,
row_header=False,
)
tcells.append(icell)
num_rows = len(result_table)
num_cols = len(result_table[0])
self.in_table = False
self.md_table_buffer = [] # clean table markdown buffer
# Initialize Docling TableData
data = TableData(num_rows=num_rows, num_cols=num_cols, table_cells=tcells)
# Populate
for tcell in tcells:
data.table_cells.append(tcell)
if len(tcells) > 0:
doc.add_table(data=data)
return
def iterate_elements(self, element, depth=0, doc=None, parent_element=None):
# Iterates over all elements in the AST
# Check for different element types and process relevant details
if isinstance(element, marko.block.Heading):
self.close_table(doc)
_log.debug(
f" - Heading level {element.level}, content: {element.children[0].children}"
)
if element.level == 1:
doc_label = DocItemLabel.TITLE
else:
doc_label = DocItemLabel.SECTION_HEADER
snippet_text = element.children[0].children
parent_element = doc.add_text(
label=doc_label, parent=parent_element, text=snippet_text
)
elif isinstance(element, marko.block.List):
self.close_table(doc)
_log.debug(f" - List {'ordered' if element.ordered else 'unordered'}")
list_label = GroupLabel.LIST
if element.ordered:
list_label = GroupLabel.ORDERED_LIST
parent_element = doc.add_group(
label=list_label, name=f"list", parent=parent_element
)
elif isinstance(element, marko.block.ListItem):
self.close_table(doc)
_log.debug(" - List item")
snippet_text = str(element.children[0].children[0].children)
is_numbered = False
if parent_element.label == GroupLabel.ORDERED_LIST:
is_numbered = True
doc.add_list_item(
enumerated=is_numbered, parent=parent_element, text=snippet_text
)
elif isinstance(element, marko.block.Paragraph):
self.close_table(doc)
_log.debug(f" - Paragraph: {element.children[0].children}")
snippet_text = str(element.children[0].children)
doc.add_text(
label=DocItemLabel.PARAGRAPH, parent=parent_element, text=snippet_text
)
elif isinstance(element, marko.inline.Image):
self.close_table(doc)
_log.debug(f" - Image with alt: {element.title}, url: {element.dest}")
doc.add_picture(parent=parent_element, caption=element.title)
elif isinstance(element, marko.inline.RawText):
_log.debug(f" - Paragraph (raw text): {element.children}")
snippet_text = str(element.children)
# Detect start of the table:
if "|" in snippet_text:
# most likely part of the markdown table
self.in_table = True
if len(self.md_table_buffer) > 0:
self.md_table_buffer[len(self.md_table_buffer) - 1] += str(
snippet_text
)
else:
self.md_table_buffer.append(snippet_text)
else:
self.close_table(doc)
self.in_table = False
# most likely just text
doc.add_text(
label=DocItemLabel.PARAGRAPH,
parent=parent_element,
text=snippet_text,
)
elif isinstance(element, marko.inline.CodeSpan):
self.close_table(doc)
_log.debug(f" - Paragraph (code): {element.children}")
snippet_text = str(element.children)
doc.add_text(
label=DocItemLabel.CODE, parent=parent_element, text=snippet_text
)
elif isinstance(element, marko.inline.LineBreak):
if self.in_table:
_log.debug("Line break in a table")
self.md_table_buffer.append("")
elif isinstance(element, marko.block.HTMLBlock):
self.close_table(doc)
_log.debug("HTML Block: {}".format(element))
snippet_text = str(element.children)
doc.add_text(
label=DocItemLabel.CODE, parent=parent_element, text=snippet_text
)
else:
if not isinstance(element, str):
self.close_table(doc)
_log.debug("Some other element: {}".format(element))
# Iterate through the element's children (if any)
if hasattr(element, "children"):
for child in element.children:
self.iterate_elements(child, depth + 1, doc, parent_element)
def is_valid(self) -> bool:
return self.valid
def unload(self):
if isinstance(self.path_or_stream, BytesIO):
self.path_or_stream.close()
self.path_or_stream = None
@classmethod
def supports_pagination(cls) -> bool:
return False
@classmethod
def supported_formats(cls) -> Set[InputFormat]:
return {InputFormat.MD}
def convert(self) -> DoclingDocument:
_log.debug("converting Markdown...")
fname = ""
if isinstance(self.path_or_stream, Path):
fname = self.path_or_stream.name
origin = DocumentOrigin(
filename=fname,
mimetype="text/markdown",
binary_hash=self.document_hash,
)
if len(fname) > 0:
docname = Path(fname).stem
else:
docname = "stream"
doc = DoclingDocument(name=docname, origin=origin)
if self.is_valid():
# Parse the markdown into an abstract syntax tree (AST)
marko_parser = Markdown()
parsed_ast = marko_parser.parse(self.markdown)
# Start iterating from the root of the AST
self.iterate_elements(parsed_ast, 0, doc, None)
else:
raise RuntimeError(
f"Cannot convert md with {self.document_hash} because the backend failed to init."
)
return doc

7
docling/datamodel/base_models.py
View File

@ -31,6 +31,7 @@ class InputFormat(str, Enum):
IMAGE = "image"
PDF = "pdf"
ASCIIDOC = "asciidoc"
MD = "md"
class OutputFormat(str, Enum):
@ -44,9 +45,10 @@ FormatToExtensions: Dict[InputFormat, List[str]] = {
InputFormat.DOCX: ["docx", "dotx", "docm", "dotm"],
InputFormat.PPTX: ["pptx", "potx", "ppsx", "pptm", "potm", "ppsm"],
InputFormat.PDF: ["pdf"],
InputFormat.MD: ["md"],
InputFormat.HTML: ["html", "htm", "xhtml"],
InputFormat.IMAGE: ["jpg", "jpeg", "png", "tif", "tiff", "bmp"],
InputFormat.ASCIIDOC: ["adoc", ".asciidoc", "asc"],
InputFormat.ASCIIDOC: ["adoc", "asciidoc", "asc"],
}
FormatToMimeType: Dict[InputFormat, Set[str]] = {
@ -68,7 +70,8 @@ FormatToMimeType: Dict[InputFormat, Set[str]] = {
"image/bmp",
},
InputFormat.PDF: {"application/pdf"},
InputFormat.ASCIIDOC: {"application/asciidoc"},
InputFormat.ASCIIDOC: {"text/asciidoc"},
InputFormat.MD: {"text/markdown", "text/x-markdown"},
}
MimeTypeToFormat = {
mime: fmt for fmt, mimes in FormatToMimeType.items() for mime in mimes

2
docling/datamodel/document.py
View File

@ -496,6 +496,8 @@ class _DocumentConversionInput(BaseModel):
if mime is None:
mime = self._detect_html_xhtml(content)
if mime is None:
mime = "text/markdown"
format = MimeTypeToFormat.get(mime)
return format

18
docling/document_converter.py
View File

@ -8,8 +8,10 @@ from typing import Dict, Iterable, Iterator, List, Optional, Type
from pydantic import BaseModel, ConfigDict, model_validator, validate_call
from docling.backend.abstract_backend import AbstractDocumentBackend
from docling.backend.asciidoc_backend import AsciiDocBackend
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.html_backend import HTMLDocumentBackend
from docling.backend.md_backend import MarkdownDocumentBackend
from docling.backend.mspowerpoint_backend import MsPowerpointDocumentBackend
from docling.backend.msword_backend import MsWordDocumentBackend
from docling.datamodel.base_models import ConversionStatus, DocumentStream, InputFormat
@ -52,6 +54,16 @@ class PowerpointFormatOption(FormatOption):
backend: Type[AbstractDocumentBackend] = MsPowerpointDocumentBackend
class MarkdownFormatOption(FormatOption):
pipeline_cls: Type = SimplePipeline
backend: Type[AbstractDocumentBackend] = MarkdownDocumentBackend
class AsciiDocFormatOption(FormatOption):
pipeline_cls: Type = SimplePipeline
backend: Type[AbstractDocumentBackend] = AsciiDocBackend
class HTMLFormatOption(FormatOption):
pipeline_cls: Type = SimplePipeline
backend: Type[AbstractDocumentBackend] = HTMLDocumentBackend
@ -74,6 +86,12 @@ _format_to_default_options = {
InputFormat.PPTX: FormatOption(
pipeline_cls=SimplePipeline, backend=MsPowerpointDocumentBackend
),
InputFormat.MD: FormatOption(
pipeline_cls=SimplePipeline, backend=MarkdownDocumentBackend
),
InputFormat.ASCIIDOC: FormatOption(
pipeline_cls=SimplePipeline, backend=AsciiDocBackend
),
InputFormat.HTML: FormatOption(
pipeline_cls=SimplePipeline, backend=HTMLDocumentBackend
),

46
docs/examples/run_md.py Normal file
View File

@ -0,0 +1,46 @@
import json
import logging
import os
from pathlib import Path
import yaml
from docling.backend.md_backend import MarkdownDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import InputDocument
_log = logging.getLogger(__name__)
def main():
input_paths = [Path("README.md")]
for path in input_paths:
in_doc = InputDocument(
path_or_stream=path,
format=InputFormat.PDF,
backend=MarkdownDocumentBackend,
)
mdb = MarkdownDocumentBackend(in_doc=in_doc, path_or_stream=path)
document = mdb.convert()
out_path = Path("scratch")
print(
f"Document {path} converted." f"\nSaved markdown output to: {str(out_path)}"
)
# Export Docling document format to markdowndoc:
fn = os.path.basename(path)
with (out_path / f"{fn}.md").open("w") as fp:
fp.write(document.export_to_markdown())
with (out_path / f"{fn}.json").open("w") as fp:
fp.write(json.dumps(document.export_to_dict()))
with (out_path / f"{fn}.yaml").open("w") as fp:
fp.write(yaml.safe_dump(document.export_to_dict()))
if __name__ == "__main__":
main()

10
docs/examples/run_with_formats.py
View File

@ -19,6 +19,7 @@ _log = logging.getLogger(__name__)
def main():
input_paths = [
Path("README.md"),
Path("tests/data/wiki_duck.html"),
Path("tests/data/word_sample.docx"),
Path("tests/data/lorem_ipsum.docx"),
@ -26,6 +27,8 @@ def main():
Path("tests/data/2305.03393v1-pg9-img.png"),
Path("tests/data/2206.01062.pdf"),
Path("tests/data/test_01.asciidoc"),
Path("tests/data/test_01.asciidoc"),
Path("README.md"),
]
## for defaults use:
@ -42,6 +45,7 @@ def main():
InputFormat.HTML,
InputFormat.PPTX,
InputFormat.ASCIIDOC,
InputFormat.MD,
], # whitelist formats, non-matching files are ignored.
format_options={
InputFormat.PDF: PdfFormatOption(
@ -64,13 +68,13 @@ def main():
)
# print(res.docdocument.export_to_markdown())
# Export Docling document format to markdowndoc:
with (out_path / f"{res.input.file.name}.md").open("w") as fp:
with (out_path / f"{res.input.file.stem}.md").open("w") as fp:
fp.write(res.document.export_to_markdown())
with (out_path / f"{res.input.file.name}.json").open("w") as fp:
with (out_path / f"{res.input.file.stem}.json").open("w") as fp:
fp.write(json.dumps(res.document.export_to_dict()))
with (out_path / f"{res.input.file.name}.yaml").open("w") as fp:
with (out_path / f"{res.input.file.stem}.yaml").open("w") as fp:
fp.write(yaml.safe_dump(res.document.export_to_dict()))

632
poetry.lock generated
View File

@ -650,90 +650,6 @@ traitlets = ">=4"
[package.extras]
test = ["pytest"]
[[package]]
name = "contourpy"
version = "1.3.0"
description = "Python library for calculating contours of 2D quadrilateral grids"
optional = false
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docling-core = ">=2.0,<3.0"
docutils = "!=0.21"
matplotlib = ">=3.7.1,<4.0.0"
networkx = ">=3.1,<4.0"
netwulf = ">=0.1.5,<0.2.0"
numerize = ">=0.12,<0.13"
numpy = [
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{version = ">=1.26.4,<2.0.0", markers = "python_version >= \"3.9\" and python_version < \"3.13\""},
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tqdm = ">=4.64.0,<5.0.0"
[package.extras]
pyplot = ["matplotlib (>=3.7.1,<4.0.0)"]
toolkit = ["deepsearch-toolkit (>=1.1.0,<2.0.0)"]
[[package]]
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[package.source]
type = "git"
url = "https://github.com/DS4SD/docling-core.git"
reference = "c78e8f16524fd378d9a261a74982f60fa9debd47"
resolved_reference = "c78e8f16524fd378d9a261a74982f60fa9debd47"
reference = "dev/add-to_indented_text"
resolved_reference = "bfcd07f0904e1b5afb5c31b3965be3221a74fe02"
[[package]]
name = "docling-ibm-models"
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[package.extras]
dev = ["pyTest", "pyTest-cov"]
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python-versions = ">=3.8"
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]
[[package]]
name = "six"
version = "1.16.0"
@ -7652,4 +7162,4 @@ tesserocr = ["tesserocr"]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "1f93b539dc3a83b83669ca783a51c754b53d0c326af5853e9797e5ee9bc4315f"
content-hash = "2c70610e1dbc3f4578e73fd4cef6c0018caed6c4018d9ab67df478bc6558394b"

5
pyproject.toml
View File

@ -38,9 +38,9 @@ torchvision = [
python = "^3.10"
pydantic = "^2.0.0"
#docling-core = "^2.0.1"
docling-core = { git = "https://github.com/DS4SD/docling-core.git", rev = "c78e8f16524fd378d9a261a74982f60fa9debd47" }
docling-core = { git = "https://github.com/DS4SD/docling-core.git", branch = "dev/add-to_indented_text" }
docling-ibm-models = "^2.0.1"
deepsearch-glm = "^0.25.0"
deepsearch-glm = "^0.26.1"
filetype = "^1.2.0"
pypdfium2 = "^4.30.0"
pydantic-settings = "^2.3.0"
@ -58,6 +58,7 @@ python-docx = "^1.1.2"
python-pptx = "^1.0.2"
beautifulsoup4 = "^4.12.3"
pandas = "^2.1.4"
marko = "^2.1.2"
[tool.poetry.group.dev.dependencies]
black = {extras = ["jupyter"], version = "^24.4.2"}

2
tests/data/groundtruth/docling_v2/2305.03393v1-pg9.json
View File

File diff suppressed because one or more lines are too long

2
tests/data/groundtruth/docling_v2/2305.03393v1-pg9.md
View File

@ -5,8 +5,6 @@ order to compute the TED score. Inference timing results for all experiments wer
We have chosen the PubTabNet data set to perform HPO, since it includes a highly diverse set of tables. Also we report TED scores separately for simple and complex tables (tables with cell spans). Results are presented in Table. 1. It is evident that with OTSL, our model achieves the same TED score and slightly better mAP scores in comparison to HTML. However OTSL yields a 2x speed up in the inference runtime over HTML.
Table 1. HPO performed in OTSL and HTML representation on the same transformer-based TableFormer [9] architecture, trained only on PubTabNet [22]. Effects of reducing the # of layers in encoder and decoder stages of the model show that smaller models trained on OTSL perform better, especially in recognizing complex table structures, and maintain a much higher mAP score than the HTML counterpart.
| # | # | Language | TEDs | TEDs | TEDs | mAP | Inference |
|------------|------------|------------|-------------|-------------|-------------|-------------|-------------|
| enc-layers | dec-layers | Language | simple | complex | all | (0.75) | time (secs) |

4
tests/test_backend_asciidoc.py
View File

@ -5,7 +5,7 @@ from pathlib import Path
import pytest
from docling_core.types.doc import BoundingBox
from docling.backend.asciidoc_backend import AsciidocBackend
from docling.backend.asciidoc_backend import AsciiDocBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import InputDocument
@ -14,7 +14,7 @@ def _get_backend(fname):
in_doc = InputDocument(
path_or_stream=fname,
format=InputFormat.ASCIIDOC,
backend=AsciidocBackend,
backend=AsciiDocBackend,
)
doc_backend = in_doc._backend