feat!: Docling v2 (#117)

---------

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
Signed-off-by: Maxim Lysak <mly@zurich.ibm.com>
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
Signed-off-by: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
Co-authored-by: Maxim Lysak <mly@zurich.ibm.com>
Co-authored-by: Michele Dolfi <dol@zurich.ibm.com>
Co-authored-by: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
This commit is contained in:
Christoph Auer
2024-10-16 21:02:03 +02:00
committed by GitHub
parent d504432c1e
commit 7d3be0edeb
144 changed files with 15180 additions and 3828 deletions

View File

@@ -1,18 +1,19 @@
import copy
import warnings
from enum import Enum, auto
from io import BytesIO
from typing import Annotated, Any, Dict, List, Optional, Tuple, Union
from typing import TYPE_CHECKING, Dict, List, Optional, Set, Union
from PIL.Image import Image
from pydantic import BaseModel, ConfigDict, Field, model_validator
from typing_extensions import Self
from docling.backend.abstract_backend import PdfPageBackend
from docling.datamodel.pipeline_options import ( # Must be imported here for backward compatibility.
PipelineOptions,
TableStructureOptions,
from docling_core.types.doc import (
BoundingBox,
DocItemLabel,
PictureDataType,
Size,
TableCell,
)
from PIL.Image import Image
from pydantic import BaseModel, ConfigDict
if TYPE_CHECKING:
from docling.backend.pdf_backend import PdfPageBackend
class ConversionStatus(str, Enum):
@@ -23,18 +24,61 @@ class ConversionStatus(str, Enum):
PARTIAL_SUCCESS = auto()
class InputFormat(str, Enum):
DOCX = "docx"
PPTX = "pptx"
HTML = "html"
IMAGE = "image"
PDF = "pdf"
class OutputFormat(str, Enum):
MARKDOWN = "md"
JSON = "json"
TEXT = "text"
DOCTAGS = "doctags"
FormatToExtensions: Dict[InputFormat, List[str]] = {
InputFormat.DOCX: ["docx", "dotx", "docm", "dotm"],
InputFormat.PPTX: ["pptx", "potx", "ppsx", "pptm", "potm", "ppsm"],
InputFormat.PDF: ["pdf"],
InputFormat.HTML: ["html", "htm", "xhtml"],
InputFormat.IMAGE: ["jpg", "jpeg", "png", "tif", "tiff", "bmp"],
}
FormatToMimeType: Dict[InputFormat, Set[str]] = {
InputFormat.DOCX: {
"application/vnd.openxmlformats-officedocument.wordprocessingml.document",
"application/vnd.openxmlformats-officedocument.wordprocessingml.template",
},
InputFormat.PPTX: {
"application/vnd.openxmlformats-officedocument.presentationml.template",
"application/vnd.openxmlformats-officedocument.presentationml.slideshow",
"application/vnd.openxmlformats-officedocument.presentationml.presentation",
},
InputFormat.HTML: {"text/html", "application/xhtml+xml"},
InputFormat.IMAGE: {
"image/png",
"image/jpeg",
"image/tiff",
"image/gif",
"image/bmp",
},
InputFormat.PDF: {"application/pdf"},
}
MimeTypeToFormat = {
mime: fmt for fmt, mimes in FormatToMimeType.items() for mime in mimes
}
class DocInputType(str, Enum):
PATH = auto()
STREAM = auto()
class CoordOrigin(str, Enum):
TOPLEFT = auto()
BOTTOMLEFT = auto()
class DoclingComponentType(str, Enum):
PDF_BACKEND = auto()
DOCUMENT_BACKEND = auto()
MODEL = auto()
DOC_ASSEMBLER = auto()
@@ -45,118 +89,6 @@ class ErrorItem(BaseModel):
error_message: str
class PageSize(BaseModel):
width: float = 0.0
height: float = 0.0
class BoundingBox(BaseModel):
l: float # left
t: float # top
r: float # right
b: float # bottom
coord_origin: CoordOrigin = CoordOrigin.TOPLEFT
@property
def width(self):
return self.r - self.l
@property
def height(self):
return abs(self.t - self.b)
def scaled(self, scale: float) -> "BoundingBox":
out_bbox = copy.deepcopy(self)
out_bbox.l *= scale
out_bbox.r *= scale
out_bbox.t *= scale
out_bbox.b *= scale
return out_bbox
def normalized(self, page_size: PageSize) -> "BoundingBox":
out_bbox = copy.deepcopy(self)
out_bbox.l /= page_size.width
out_bbox.r /= page_size.width
out_bbox.t /= page_size.height
out_bbox.b /= page_size.height
return out_bbox
def as_tuple(self):
if self.coord_origin == CoordOrigin.TOPLEFT:
return (self.l, self.t, self.r, self.b)
elif self.coord_origin == CoordOrigin.BOTTOMLEFT:
return (self.l, self.b, self.r, self.t)
@classmethod
def from_tuple(cls, coord: Tuple[float, ...], origin: CoordOrigin):
if origin == CoordOrigin.TOPLEFT:
l, t, r, b = coord[0], coord[1], coord[2], coord[3]
if r < l:
l, r = r, l
if b < t:
b, t = t, b
return BoundingBox(l=l, t=t, r=r, b=b, coord_origin=origin)
elif origin == CoordOrigin.BOTTOMLEFT:
l, b, r, t = coord[0], coord[1], coord[2], coord[3]
if r < l:
l, r = r, l
if b > t:
b, t = t, b
return BoundingBox(l=l, t=t, r=r, b=b, coord_origin=origin)
def area(self) -> float:
area = (self.r - self.l) * (self.b - self.t)
if self.coord_origin == CoordOrigin.BOTTOMLEFT:
area = -area
return area
def intersection_area_with(self, other: "BoundingBox") -> float:
# Calculate intersection coordinates
left = max(self.l, other.l)
top = max(self.t, other.t)
right = min(self.r, other.r)
bottom = min(self.b, other.b)
# Calculate intersection dimensions
width = right - left
height = bottom - top
# If the bounding boxes do not overlap, width or height will be negative
if width <= 0 or height <= 0:
return 0.0
return width * height
def to_bottom_left_origin(self, page_height) -> "BoundingBox":
if self.coord_origin == CoordOrigin.BOTTOMLEFT:
return self
elif self.coord_origin == CoordOrigin.TOPLEFT:
return BoundingBox(
l=self.l,
r=self.r,
t=page_height - self.t,
b=page_height - self.b,
coord_origin=CoordOrigin.BOTTOMLEFT,
)
def to_top_left_origin(self, page_height):
if self.coord_origin == CoordOrigin.TOPLEFT:
return self
elif self.coord_origin == CoordOrigin.BOTTOMLEFT:
return BoundingBox(
l=self.l,
r=self.r,
t=page_height - self.t, # self.b
b=page_height - self.b, # self.t
coord_origin=CoordOrigin.TOPLEFT,
)
class Cell(BaseModel):
id: int
text: str
@@ -169,14 +101,14 @@ class OcrCell(Cell):
class Cluster(BaseModel):
id: int
label: str
label: DocItemLabel
bbox: BoundingBox
confidence: float = 1.0
cells: List[Cell] = []
class BasePageElement(BaseModel):
label: str
label: DocItemLabel
id: int
page_no: int
cluster: Cluster
@@ -187,37 +119,7 @@ class LayoutPrediction(BaseModel):
clusters: List[Cluster] = []
class TableCell(BaseModel):
bbox: BoundingBox
row_span: int
col_span: int
start_row_offset_idx: int
end_row_offset_idx: int
start_col_offset_idx: int
end_col_offset_idx: int
text: str
column_header: bool = False
row_header: bool = False
row_section: bool = False
@model_validator(mode="before")
@classmethod
def from_dict_format(cls, data: Any) -> Any:
if isinstance(data, Dict):
text = data["bbox"].get("token", "")
if not len(text):
text_cells = data.pop("text_cell_bboxes", None)
if text_cells:
for el in text_cells:
text += el["token"] + " "
text = text.strip()
data["text"] = text
return data
class TableElement(BasePageElement):
class Table(BasePageElement):
otsl_seq: List[str]
num_rows: int = 0
num_cols: int = 0
@@ -225,18 +127,15 @@ class TableElement(BasePageElement):
class TableStructurePrediction(BaseModel):
table_map: Dict[int, TableElement] = {}
table_map: Dict[int, Table] = {}
class TextElement(BasePageElement): ...
class FigureData(BaseModel):
pass
class TextElement(BasePageElement):
text: str
class FigureElement(BasePageElement):
data: Optional[FigureData] = None
annotations: List[PictureDataType] = []
provenance: Optional[str] = None
predicted_class: Optional[str] = None
confidence: Optional[float] = None
@@ -259,7 +158,7 @@ class PagePredictions(BaseModel):
equations_prediction: Optional[EquationPrediction] = None
PageElement = Union[TextElement, TableElement, FigureElement]
PageElement = Union[TextElement, Table, FigureElement]
class AssembledUnit(BaseModel):
@@ -272,13 +171,13 @@ class Page(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
page_no: int
page_hash: Optional[str] = None
size: Optional[PageSize] = None
# page_hash: Optional[str] = None
size: Optional[Size] = None
cells: List[Cell] = []
predictions: PagePredictions = PagePredictions()
assembled: Optional[AssembledUnit] = None
_backend: Optional[PdfPageBackend] = (
_backend: Optional["PdfPageBackend"] = (
None # Internal PDF backend. By default it is cleared during assembling.
)
_default_image_scale: float = 1.0 # Default image scale for external usage.
@@ -301,24 +200,5 @@ class Page(BaseModel):
class DocumentStream(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
filename: str
name: str
stream: BytesIO
class AssembleOptions(BaseModel):
keep_page_images: Annotated[
bool,
Field(
deprecated="`keep_page_images` is depreacted, set the value of `images_scale` instead"
),
] = False # False: page images are removed in the assemble step
images_scale: Optional[float] = None # if set, the scale for generated images
@model_validator(mode="after")
def set_page_images_from_deprecated(self) -> Self:
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
default_scale = 1.0
if self.keep_page_images and self.images_scale is None:
self.images_scale = default_scale
return self

View File

@@ -1,87 +1,101 @@
import logging
import re
from enum import Enum
from io import BytesIO
from pathlib import Path, PurePath
from typing import ClassVar, Dict, Iterable, List, Optional, Tuple, Type, Union
from typing import TYPE_CHECKING, Dict, Iterable, List, Optional, Tuple, Type, Union
from docling_core.types import BaseCell, BaseText
import filetype
from docling_core.types import BaseText
from docling_core.types import Document as DsDocument
from docling_core.types import DocumentDescription as DsDocumentDescription
from docling_core.types import FileInfoObject as DsFileInfoObject
from docling_core.types import PageDimensions, PageReference, Prov, Ref
from docling_core.types import Table as DsSchemaTable
from docling_core.types import TableCell
from docling_core.types.doc.base import BoundingBox as DsBoundingBox
from docling_core.types.doc.base import Figure
from docling_core.types.doc import (
DocItem,
DocItemLabel,
DoclingDocument,
PictureItem,
SectionHeaderItem,
TableItem,
TextItem,
)
from docling_core.types.doc.document import ListItem
from docling_core.types.legacy_doc.base import Figure, GlmTableCell, TableCell
from docling_core.utils.file import resolve_file_source
from pydantic import BaseModel
from typing_extensions import deprecated
from docling.backend.abstract_backend import PdfDocumentBackend
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.abstract_backend import (
AbstractDocumentBackend,
PaginatedDocumentBackend,
)
from docling.datamodel.base_models import (
AssembledUnit,
ConversionStatus,
DocumentStream,
ErrorItem,
FigureElement,
InputFormat,
MimeTypeToFormat,
Page,
PageElement,
TableElement,
TextElement,
)
from docling.datamodel.settings import DocumentLimits
from docling.utils.utils import create_file_hash
from docling.utils.utils import create_file_hash, create_hash
if TYPE_CHECKING:
from docling.document_converter import FormatOption
_log = logging.getLogger(__name__)
layout_label_to_ds_type = {
"Title": "title",
"Document Index": "table-of-path_or_stream",
"Section-header": "subtitle-level-1",
"Checkbox-Selected": "checkbox-selected",
"Checkbox-Unselected": "checkbox-unselected",
"Caption": "caption",
"Page-header": "page-header",
"Page-footer": "page-footer",
"Footnote": "footnote",
"Table": "table",
"Formula": "equation",
"List-item": "paragraph",
"Code": "paragraph",
"Picture": "figure",
"Text": "paragraph",
DocItemLabel.TITLE: "title",
DocItemLabel.DOCUMENT_INDEX: "table-of-contents",
DocItemLabel.SECTION_HEADER: "subtitle-level-1",
DocItemLabel.CHECKBOX_SELECTED: "checkbox-selected",
DocItemLabel.CHECKBOX_UNSELECTED: "checkbox-unselected",
DocItemLabel.CAPTION: "caption",
DocItemLabel.PAGE_HEADER: "page-header",
DocItemLabel.PAGE_FOOTER: "page-footer",
DocItemLabel.FOOTNOTE: "footnote",
DocItemLabel.TABLE: "table",
DocItemLabel.FORMULA: "equation",
DocItemLabel.LIST_ITEM: "paragraph",
DocItemLabel.CODE: "paragraph",
DocItemLabel.PICTURE: "figure",
DocItemLabel.TEXT: "paragraph",
DocItemLabel.PARAGRAPH: "paragraph",
}
_EMPTY_DOC = DsDocument(
_name="",
description=DsDocumentDescription(logs=[]),
file_info=DsFileInfoObject(
filename="",
document_hash="",
),
)
_EMPTY_DOCLING_DOC = DoclingDocument(name="dummy")
class InputDocument(BaseModel):
file: PurePath = None
document_hash: Optional[str] = None
valid: bool = False
file: PurePath
document_hash: str # = None
valid: bool = True
limits: DocumentLimits = DocumentLimits()
format: InputFormat # = None
filesize: Optional[int] = None
page_count: Optional[int] = None
page_count: int = 0
_backend: PdfDocumentBackend = None # Internal PDF backend used
_backend: AbstractDocumentBackend # Internal PDF backend used
def __init__(
self,
path_or_stream: Union[BytesIO, Path],
format: InputFormat,
backend: Type[AbstractDocumentBackend],
filename: Optional[str] = None,
limits: Optional[DocumentLimits] = None,
pdf_backend=DoclingParseDocumentBackend,
):
super().__init__()
super().__init__(
file="", document_hash="", format=InputFormat.PDF
) # initialize with dummy values
self.limits = limits or DocumentLimits()
self.format = format
try:
if isinstance(path_or_stream, Path):
@@ -91,11 +105,12 @@ class InputDocument(BaseModel):
self.valid = False
else:
self.document_hash = create_file_hash(path_or_stream)
self._backend = pdf_backend(
path_or_stream=path_or_stream, document_hash=self.document_hash
)
self._init_doc(backend, path_or_stream)
elif isinstance(path_or_stream, BytesIO):
assert (
filename is not None
), "Can't construct InputDocument from stream without providing filename arg."
self.file = PurePath(filename)
self.filesize = path_or_stream.getbuffer().nbytes
@@ -103,15 +118,20 @@ class InputDocument(BaseModel):
self.valid = False
else:
self.document_hash = create_file_hash(path_or_stream)
self._backend = pdf_backend(
path_or_stream=path_or_stream, document_hash=self.document_hash
)
self._init_doc(backend, path_or_stream)
else:
raise RuntimeError(
f"Unexpected type path_or_stream: {type(path_or_stream)}"
)
if self.document_hash and self._backend.page_count() > 0:
self.page_count = self._backend.page_count()
if self.page_count <= self.limits.max_num_pages:
self.valid = True
# For paginated backends, check if the maximum page count is exceeded.
if self.valid and self._backend.is_valid():
if self._backend.supports_pagination() and isinstance(
self._backend, PaginatedDocumentBackend
):
self.page_count = self._backend.page_count()
if not self.page_count <= self.limits.max_num_pages:
self.valid = False
except (FileNotFoundError, OSError) as e:
_log.exception(
@@ -125,9 +145,26 @@ class InputDocument(BaseModel):
)
# raise
def _init_doc(
self,
backend: Type[AbstractDocumentBackend],
path_or_stream: Union[BytesIO, Path],
) -> None:
if backend is None:
raise RuntimeError(
f"No backend configuration provided for file {self.file.name} with format {self.format}. "
f"Please check your format configuration on DocumentConverter."
)
@deprecated("Use `ConversionResult` instead.")
class ConvertedDocument(BaseModel):
self._backend = backend(self, path_or_stream=path_or_stream)
class DocumentFormat(str, Enum):
V2 = "v2"
V1 = "v1"
class ConversionResult(BaseModel):
input: InputDocument
status: ConversionStatus = ConversionStatus.PENDING # failure, success
@@ -136,15 +173,42 @@ class ConvertedDocument(BaseModel):
pages: List[Page] = []
assembled: AssembledUnit = AssembledUnit()
output: DsDocument = _EMPTY_DOC
document: DoclingDocument = _EMPTY_DOCLING_DOC
@property
@deprecated("Use document instead.")
def legacy_document(self):
reverse_label_mapping = {
DocItemLabel.CAPTION.value: "Caption",
DocItemLabel.FOOTNOTE.value: "Footnote",
DocItemLabel.FORMULA.value: "Formula",
DocItemLabel.LIST_ITEM.value: "List-item",
DocItemLabel.PAGE_FOOTER.value: "Page-footer",
DocItemLabel.PAGE_HEADER.value: "Page-header",
DocItemLabel.PICTURE.value: "Picture", # low threshold adjust to capture chemical structures for examples.
DocItemLabel.SECTION_HEADER.value: "Section-header",
DocItemLabel.TABLE.value: "Table",
DocItemLabel.TEXT.value: "Text",
DocItemLabel.TITLE.value: "Title",
DocItemLabel.DOCUMENT_INDEX.value: "Document Index",
DocItemLabel.CODE.value: "Code",
DocItemLabel.CHECKBOX_SELECTED.value: "Checkbox-Selected",
DocItemLabel.CHECKBOX_UNSELECTED.value: "Checkbox-Unselected",
DocItemLabel.FORM.value: "Form",
DocItemLabel.KEY_VALUE_REGION.value: "Key-Value Region",
DocItemLabel.PARAGRAPH.value: "paragraph",
}
def _to_ds_document(self) -> DsDocument:
title = ""
desc = DsDocumentDescription(logs=[])
page_hashes = [
PageReference(hash=p.page_hash, page=p.page_no + 1, model="default")
for p in self.pages
PageReference(
hash=create_hash(self.input.document_hash + ":" + str(p.page_no - 1)),
page=p.page_no,
model="default",
)
for p in self.document.pages.values()
]
file_info = DsFileInfoObject(
@@ -157,145 +221,199 @@ class ConvertedDocument(BaseModel):
main_text = []
tables = []
figures = []
equations = []
footnotes = []
page_headers = []
page_footers = []
page_no_to_page = {p.page_no: p for p in self.pages}
embedded_captions = set()
for ix, (item, level) in enumerate(
self.document.iterate_items(self.document.body)
):
for element in self.assembled.elements:
# Convert bboxes to lower-left origin.
target_bbox = DsBoundingBox(
element.cluster.bbox.to_bottom_left_origin(
page_no_to_page[element.page_no].size.height
).as_tuple()
)
if isinstance(item, (TableItem, PictureItem)) and len(item.captions) > 0:
caption = item.caption_text(self.document)
if caption:
embedded_captions.add(caption)
if isinstance(element, TextElement):
main_text.append(
BaseText(
text=element.text,
obj_type=layout_label_to_ds_type.get(element.label),
name=element.label,
prov=[
Prov(
bbox=target_bbox,
page=element.page_no + 1,
span=[0, len(element.text)],
)
],
)
)
elif isinstance(element, TableElement):
index = len(tables)
ref_str = f"#/tables/{index}"
main_text.append(
Ref(
name=element.label,
obj_type=layout_label_to_ds_type.get(element.label),
ref=ref_str,
),
)
for item, level in self.document.iterate_items():
if isinstance(item, DocItem):
item_type = item.label
# Initialise empty table data grid (only empty cells)
table_data = [
[
TableCell(
text="",
# bbox=[0,0,0,0],
spans=[[i, j]],
obj_type="body",
if isinstance(item, (TextItem, ListItem, SectionHeaderItem)):
if isinstance(item, ListItem) and item.marker:
text = f"{item.marker} {item.text}"
else:
text = item.text
# Can be empty.
prov = [
Prov(
bbox=p.bbox.as_tuple(),
page=p.page_no,
span=[0, len(item.text)],
)
for j in range(element.num_cols)
for p in item.prov
]
for i in range(element.num_rows)
]
main_text.append(
BaseText(
text=text,
obj_type=layout_label_to_ds_type.get(item.label),
name=reverse_label_mapping[item.label],
prov=prov,
)
)
# Overwrite cells in table data for which there is actual cell content.
for cell in element.table_cells:
for i in range(
min(cell.start_row_offset_idx, element.num_rows),
min(cell.end_row_offset_idx, element.num_rows),
):
for j in range(
min(cell.start_col_offset_idx, element.num_cols),
min(cell.end_col_offset_idx, element.num_cols),
# skip captions of they are embedded in the actual
# floating object
if item_type == DocItemLabel.CAPTION and text in embedded_captions:
continue
elif isinstance(item, TableItem) and item.data:
index = len(tables)
ref_str = f"#/tables/{index}"
main_text.append(
Ref(
name=reverse_label_mapping[item.label],
obj_type=layout_label_to_ds_type.get(item.label),
ref=ref_str,
),
)
# Initialise empty table data grid (only empty cells)
table_data = [
[
TableCell(
text="",
# bbox=[0,0,0,0],
spans=[[i, j]],
obj_type="body",
)
for j in range(item.data.num_cols)
]
for i in range(item.data.num_rows)
]
# Overwrite cells in table data for which there is actual cell content.
for cell in item.data.table_cells:
for i in range(
min(cell.start_row_offset_idx, item.data.num_rows),
min(cell.end_row_offset_idx, item.data.num_rows),
):
celltype = "body"
if cell.column_header:
celltype = "col_header"
elif cell.row_header:
celltype = "row_header"
elif cell.row_section:
celltype = "row_section"
for j in range(
min(cell.start_col_offset_idx, item.data.num_cols),
min(cell.end_col_offset_idx, item.data.num_cols),
):
celltype = "body"
if cell.column_header:
celltype = "col_header"
elif cell.row_header:
celltype = "row_header"
elif cell.row_section:
celltype = "row_section"
def make_spans(cell):
for rspan in range(
min(cell.start_row_offset_idx, element.num_rows),
min(cell.end_row_offset_idx, element.num_rows),
):
for cspan in range(
def make_spans(cell):
for rspan in range(
min(
cell.start_col_offset_idx, element.num_cols
cell.start_row_offset_idx,
item.data.num_rows,
),
min(
cell.end_row_offset_idx, item.data.num_rows
),
min(cell.end_col_offset_idx, element.num_cols),
):
yield [rspan, cspan]
for cspan in range(
min(
cell.start_col_offset_idx,
item.data.num_cols,
),
min(
cell.end_col_offset_idx,
item.data.num_cols,
),
):
yield [rspan, cspan]
spans = list(make_spans(cell))
table_data[i][j] = TableCell(
text=cell.text,
bbox=cell.bbox.to_bottom_left_origin(
page_no_to_page[element.page_no].size.height
).as_tuple(),
# col=j,
# row=i,
spans=spans,
obj_type=celltype,
# col_span=[cell.start_col_offset_idx, cell.end_col_offset_idx],
# row_span=[cell.start_row_offset_idx, cell.end_row_offset_idx]
)
spans = list(make_spans(cell))
table_data[i][j] = GlmTableCell(
text=cell.text,
bbox=(
cell.bbox.as_tuple()
if cell.bbox is not None
else None
), # check if this is bottom-left
spans=spans,
obj_type=celltype,
col=j,
row=i,
row_header=cell.row_header,
row_section=cell.row_section,
col_header=cell.column_header,
row_span=[
cell.start_row_offset_idx,
cell.end_row_offset_idx,
],
col_span=[
cell.start_col_offset_idx,
cell.end_col_offset_idx,
],
)
tables.append(
DsSchemaTable(
num_cols=element.num_cols,
num_rows=element.num_rows,
obj_type=layout_label_to_ds_type.get(element.label),
data=table_data,
prov=[
Prov(
bbox=target_bbox,
page=element.page_no + 1,
span=[0, 0],
)
],
# Compute the caption
caption = item.caption_text(self.document)
tables.append(
DsSchemaTable(
text=caption,
num_cols=item.data.num_cols,
num_rows=item.data.num_rows,
obj_type=layout_label_to_ds_type.get(item.label),
data=table_data,
prov=[
Prov(
bbox=p.bbox.as_tuple(),
page=p.page_no,
span=[0, 0],
)
for p in item.prov
],
)
)
)
elif isinstance(element, FigureElement):
index = len(figures)
ref_str = f"#/figures/{index}"
main_text.append(
Ref(
name=element.label,
obj_type=layout_label_to_ds_type.get(element.label),
ref=ref_str,
),
)
figures.append(
Figure(
prov=[
Prov(
bbox=target_bbox,
page=element.page_no + 1,
span=[0, 0],
)
],
obj_type=layout_label_to_ds_type.get(element.label),
# data=[[]],
elif isinstance(item, PictureItem):
index = len(figures)
ref_str = f"#/figures/{index}"
main_text.append(
Ref(
name=reverse_label_mapping[item.label],
obj_type=layout_label_to_ds_type.get(item.label),
ref=ref_str,
),
)
# Compute the caption
caption = item.caption_text(self.document)
figures.append(
Figure(
prov=[
Prov(
bbox=p.bbox.as_tuple(),
page=p.page_no,
span=[0, len(caption)],
)
for p in item.prov
],
obj_type=layout_label_to_ds_type.get(item.label),
text=caption,
# data=[[]],
)
)
)
page_dimensions = [
PageDimensions(page=p.page_no + 1, height=p.size.height, width=p.size.width)
for p in self.pages
PageDimensions(page=p.page_no, height=p.size.height, width=p.size.width)
for p in self.document.pages.values()
]
ds_doc = DsDocument(
@@ -303,6 +421,10 @@ class ConvertedDocument(BaseModel):
description=desc,
file_info=file_info,
main_text=main_text,
equations=equations,
footnotes=footnotes,
page_headers=page_headers,
page_footers=page_footers,
tables=tables,
figures=figures,
page_dimensions=page_dimensions,
@@ -310,152 +432,76 @@ class ConvertedDocument(BaseModel):
return ds_doc
def render_as_dict(self):
return self.output.model_dump(by_alias=True, exclude_none=True)
def render_as_markdown(
self,
delim: str = "\n\n",
main_text_start: int = 0,
main_text_stop: Optional[int] = None,
main_text_labels: list[str] = [
"title",
"subtitle-level-1",
"paragraph",
"caption",
"table",
"figure",
],
strict_text: bool = False,
image_placeholder: str = "<!-- image -->",
):
return self.output.export_to_markdown(
delim=delim,
main_text_start=main_text_start,
main_text_stop=main_text_stop,
main_text_labels=main_text_labels,
strict_text=strict_text,
image_placeholder=image_placeholder,
)
class _DocumentConversionInput(BaseModel):
def render_as_text(
self,
delim: str = "\n\n",
main_text_start: int = 0,
main_text_stop: Optional[int] = None,
main_text_labels: list[str] = [
"title",
"subtitle-level-1",
"paragraph",
"caption",
],
):
return self.output.export_to_markdown(
delim=delim,
main_text_start=main_text_start,
main_text_stop=main_text_stop,
main_text_labels=main_text_labels,
strict_text=True,
)
def render_as_doctags(
self,
delim: str = "\n\n",
main_text_start: int = 0,
main_text_stop: Optional[int] = None,
main_text_labels: list[str] = [
"title",
"subtitle-level-1",
"paragraph",
"caption",
"table",
"figure",
],
xsize: int = 100,
ysize: int = 100,
add_location: bool = True,
add_content: bool = True,
add_page_index: bool = True,
# table specific flags
add_table_cell_location: bool = False,
add_table_cell_label: bool = True,
add_table_cell_text: bool = True,
) -> str:
return self.output.export_to_document_tokens(
delim=delim,
main_text_start=main_text_start,
main_text_stop=main_text_stop,
main_text_labels=main_text_labels,
xsize=xsize,
ysize=ysize,
add_location=add_location,
add_content=add_content,
add_page_index=add_page_index,
# table specific flags
add_table_cell_location=add_table_cell_location,
add_table_cell_label=add_table_cell_label,
add_table_cell_text=add_table_cell_text,
)
def render_element_images(
self, element_types: Tuple[PageElement] = (FigureElement,)
):
for element in self.assembled.elements:
if isinstance(element, element_types):
page_ix = element.page_no
scale = self.pages[page_ix]._default_image_scale
crop_bbox = element.cluster.bbox.scaled(scale=scale).to_top_left_origin(
page_height=self.pages[page_ix].size.height * scale
)
cropped_im = self.pages[page_ix].image.crop(crop_bbox.as_tuple())
yield element, cropped_im
class ConversionResult(ConvertedDocument):
pass
class DocumentConversionInput(BaseModel):
_path_or_stream_iterator: Iterable[Union[Path, DocumentStream]] = None
path_or_stream_iterator: Iterable[Union[Path, str, DocumentStream]]
limits: Optional[DocumentLimits] = DocumentLimits()
DEFAULT_BACKEND: ClassVar = DoclingParseDocumentBackend
def docs(
self, pdf_backend: Optional[Type[PdfDocumentBackend]] = None
self, format_options: Dict[InputFormat, "FormatOption"]
) -> Iterable[InputDocument]:
for item in self.path_or_stream_iterator:
obj = resolve_file_source(item) if isinstance(item, str) else item
format = self._guess_format(obj)
if format not in format_options.keys():
_log.info(
f"Skipping input document {obj.name} because it isn't matching any of the allowed formats."
)
continue
else:
backend = format_options[format].backend
pdf_backend = pdf_backend or DocumentConversionInput.DEFAULT_BACKEND
for obj in self._path_or_stream_iterator:
if isinstance(obj, Path):
yield InputDocument(
path_or_stream=obj, limits=self.limits, pdf_backend=pdf_backend
path_or_stream=obj,
format=format,
filename=obj.name,
limits=self.limits,
backend=backend,
)
elif isinstance(obj, DocumentStream):
yield InputDocument(
path_or_stream=obj.stream,
filename=obj.filename,
format=format,
filename=obj.name,
limits=self.limits,
pdf_backend=pdf_backend,
backend=backend,
)
else:
raise RuntimeError(f"Unexpected obj type in iterator: {type(obj)}")
@classmethod
def from_paths(cls, paths: Iterable[Path], limits: Optional[DocumentLimits] = None):
paths = [Path(p) for p in paths]
def _guess_format(self, obj):
content = None
if isinstance(obj, Path):
mime = filetype.guess_mime(str(obj))
if mime is None:
with obj.open("rb") as f:
content = f.read(1024) # Read first 1KB
doc_input = cls(limits=limits)
doc_input._path_or_stream_iterator = paths
elif isinstance(obj, DocumentStream):
obj.stream.seek(0)
content = obj.stream.read(8192)
obj.stream.seek(0)
mime = filetype.guess_mime(content)
return doc_input
if mime is None:
mime = self._detect_html_xhtml(content)
@classmethod
def from_streams(
cls, streams: Iterable[DocumentStream], limits: Optional[DocumentLimits] = None
):
doc_input = cls(limits=limits)
doc_input._path_or_stream_iterator = streams
format = MimeTypeToFormat.get(mime)
return format
return doc_input
def _detect_html_xhtml(self, content):
content_str = content.decode("ascii", errors="ignore").lower()
# Remove XML comments
content_str = re.sub(r"<!--(.*?)-->", "", content_str, flags=re.DOTALL)
content_str = content_str.lstrip()
if re.match(r"<\?xml", content_str):
if "xhtml" in content_str[:1000]:
return "application/xhtml+xml"
if re.match(r"<!doctype\s+html|<html|<head|<body", content_str):
return "text/html"
return None

View File

@@ -1,4 +1,5 @@
from enum import Enum, auto
from pathlib import Path
from typing import List, Literal, Optional, Union
from pydantic import BaseModel, ConfigDict, Field
@@ -58,6 +59,13 @@ class TesseractOcrOptions(OcrOptions):
class PipelineOptions(BaseModel):
create_legacy_output: bool = (
True # This defautl will be set to False on a future version of docling
)
class PdfPipelineOptions(PipelineOptions):
artifacts_path: Optional[Union[Path, str]] = None
do_table_structure: bool = True # True: perform table structure extraction
do_ocr: bool = True # True: perform OCR, replace programmatic PDF text
@@ -65,3 +73,8 @@ class PipelineOptions(BaseModel):
ocr_options: Union[EasyOcrOptions, TesseractCliOcrOptions, TesseractOcrOptions] = (
Field(EasyOcrOptions(), discriminator="kind")
)
images_scale: float = 1.0
generate_page_images: bool = False
generate_picture_images: bool = False
generate_table_images: bool = False

View File

@@ -14,6 +14,7 @@ class BatchConcurrencySettings(BaseModel):
doc_batch_concurrency: int = 2
page_batch_size: int = 4
page_batch_concurrency: int = 2
elements_batch_size: int = 16
# doc_batch_size: int = 1
# doc_batch_concurrency: int = 1