Docling/docling/datamodel/document.py
Peter W. J. Staar 1557e7ce3e
feat: Support audio input (#1763)
* scaffolding in place

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* doing scaffolding for audio pipeline

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* WIP: got first transcription working

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* all working, time to start cleaning up

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* first working ASR pipeline

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* added openai-whisper as a first transcription model

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* updating with asr_options

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* finalised the first working ASR pipeline with Whisper

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* use whisper from the latest git commit

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

* Update docling/datamodel/pipeline_options.py

Co-authored-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com>
Signed-off-by: Peter W. J. Staar <91719829+PeterStaar-IBM@users.noreply.github.com>

* Update docling/datamodel/pipeline_options.py

Co-authored-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com>
Signed-off-by: Peter W. J. Staar <91719829+PeterStaar-IBM@users.noreply.github.com>

* updated comment

Signed-off-by: Peter Staar <taa@zurich.ibm.com>

* AudioBackend -> DummyBackend

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* file rename

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Rename to NoOpBackend, add test for ASR pipeline

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Support every format in NoOpBackend

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Add missing audio file and test

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

* Install ffmpeg system dependency for ASR test

Signed-off-by: Christoph Auer <cau@zurich.ibm.com>

---------

Signed-off-by: Peter Staar <taa@zurich.ibm.com>
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
Signed-off-by: Peter W. J. Staar <91719829+PeterStaar-IBM@users.noreply.github.com>
Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
Co-authored-by: Michele Dolfi <dol@zurich.ibm.com>
Co-authored-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com>
Co-authored-by: Christoph Auer <cau@zurich.ibm.com>
2025-06-23 14:47:26 +02:00

460 lines
16 KiB
Python

import csv
import logging
import re
from collections.abc import Iterable
from enum import Enum
from io import BytesIO
from pathlib import Path, PurePath
from typing import (
TYPE_CHECKING,
Dict,
List,
Literal,
Optional,
Set,
Type,
Union,
)
import filetype
# DO NOT REMOVE; explicitly exposed from this location
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 (
BaseText,
Figure,
GlmTableCell,
PageDimensions,
PageReference,
Prov,
Ref,
Table as DsSchemaTable,
TableCell,
)
from docling_core.types.legacy_doc.document import (
CCSDocumentDescription as DsDocumentDescription,
CCSFileInfoObject as DsFileInfoObject,
ExportedCCSDocument as DsDocument,
)
from docling_core.utils.file import resolve_source_to_stream
from docling_core.utils.legacy import docling_document_to_legacy
from pydantic import BaseModel, Field
from typing_extensions import deprecated
from docling.backend.abstract_backend import (
AbstractDocumentBackend,
PaginatedDocumentBackend,
)
from docling.datamodel.base_models import (
AssembledUnit,
ConfidenceReport,
ConversionStatus,
DocumentStream,
ErrorItem,
FormatToExtensions,
FormatToMimeType,
InputFormat,
MimeTypeToFormat,
Page,
)
from docling.datamodel.settings import DocumentLimits
from docling.utils.profiling import ProfilingItem
from docling.utils.utils import create_file_hash
if TYPE_CHECKING:
from docling.document_converter import FormatOption
_log = logging.getLogger(__name__)
layout_label_to_ds_type = {
DocItemLabel.TITLE: "title",
DocItemLabel.DOCUMENT_INDEX: "table",
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",
DocItemLabel.FORM: DocItemLabel.FORM.value,
DocItemLabel.KEY_VALUE_REGION: DocItemLabel.KEY_VALUE_REGION.value,
}
_EMPTY_DOCLING_DOC = DoclingDocument(name="dummy")
class InputDocument(BaseModel):
file: PurePath
document_hash: str # = None
valid: bool = True
limits: DocumentLimits = DocumentLimits()
format: InputFormat # = None
filesize: Optional[int] = None
page_count: int = 0
_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,
):
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):
self.file = path_or_stream
self.filesize = path_or_stream.stat().st_size
if self.filesize > self.limits.max_file_size:
self.valid = False
else:
self.document_hash = create_file_hash(path_or_stream)
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
if self.filesize > self.limits.max_file_size:
self.valid = False
else:
self.document_hash = create_file_hash(path_or_stream)
self._init_doc(backend, path_or_stream)
else:
raise RuntimeError(
f"Unexpected type path_or_stream: {type(path_or_stream)}"
)
# 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
elif self.page_count < self.limits.page_range[0]:
self.valid = False
except (FileNotFoundError, OSError) as e:
self.valid = False
_log.exception(
f"File {self.file.name} not found or cannot be opened.", exc_info=e
)
# raise
except RuntimeError as e:
self.valid = False
_log.exception(
f"An unexpected error occurred while opening the document {self.file.name}",
exc_info=e,
)
# raise
def _init_doc(
self,
backend: Type[AbstractDocumentBackend],
path_or_stream: Union[BytesIO, Path],
) -> None:
self._backend = backend(self, path_or_stream=path_or_stream)
if not self._backend.is_valid():
self.valid = False
class DocumentFormat(str, Enum):
V2 = "v2"
V1 = "v1"
class ConversionResult(BaseModel):
input: InputDocument
status: ConversionStatus = ConversionStatus.PENDING # failure, success
errors: List[ErrorItem] = [] # structure to keep errors
pages: List[Page] = []
assembled: AssembledUnit = AssembledUnit()
timings: Dict[str, ProfilingItem] = {}
confidence: ConfidenceReport = Field(default_factory=ConfidenceReport)
document: DoclingDocument = _EMPTY_DOCLING_DOC
@property
@deprecated("Use document instead.")
def legacy_document(self):
return docling_document_to_legacy(self.document)
class _DummyBackend(AbstractDocumentBackend):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def is_valid(self) -> bool:
return False
@classmethod
def supported_formats(cls) -> Set[InputFormat]:
return set()
@classmethod
def supports_pagination(cls) -> bool:
return False
def unload(self):
return super().unload()
class _DocumentConversionInput(BaseModel):
path_or_stream_iterator: Iterable[Union[Path, str, DocumentStream]]
headers: Optional[Dict[str, str]] = None
limits: Optional[DocumentLimits] = DocumentLimits()
def docs(
self, format_options: Dict[InputFormat, "FormatOption"]
) -> Iterable[InputDocument]:
for item in self.path_or_stream_iterator:
obj = (
resolve_source_to_stream(item, self.headers)
if isinstance(item, str)
else item
)
format = self._guess_format(obj)
backend: Type[AbstractDocumentBackend]
if format not in format_options.keys():
_log.error(
f"Input document {obj.name} with format {format} does not match any allowed format: ({format_options.keys()})"
)
backend = _DummyBackend
else:
backend = format_options[format].backend
if isinstance(obj, Path):
yield InputDocument(
path_or_stream=obj,
format=format, # type: ignore[arg-type]
filename=obj.name,
limits=self.limits,
backend=backend,
)
elif isinstance(obj, DocumentStream):
yield InputDocument(
path_or_stream=obj.stream,
format=format, # type: ignore[arg-type]
filename=obj.name,
limits=self.limits,
backend=backend,
)
else:
raise RuntimeError(f"Unexpected obj type in iterator: {type(obj)}")
def _guess_format(self, obj: Union[Path, DocumentStream]) -> Optional[InputFormat]:
content = b"" # empty binary blob
formats: list[InputFormat] = []
if isinstance(obj, Path):
mime = filetype.guess_mime(str(obj))
if mime is None:
ext = obj.suffix[1:]
mime = _DocumentConversionInput._mime_from_extension(ext)
if mime is None: # must guess from
with obj.open("rb") as f:
content = f.read(1024) # Read first 1KB
if mime is not None and mime.lower() == "application/zip":
if obj.suffixes[-1].lower() == ".xlsx":
mime = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
elif obj.suffixes[-1].lower() == ".docx":
mime = "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
elif obj.suffixes[-1].lower() == ".pptx":
mime = "application/vnd.openxmlformats-officedocument.presentationml.presentation"
elif isinstance(obj, DocumentStream):
content = obj.stream.read(8192)
obj.stream.seek(0)
mime = filetype.guess_mime(content)
if mime is None:
ext = (
obj.name.rsplit(".", 1)[-1]
if ("." in obj.name and not obj.name.startswith("."))
else ""
)
mime = _DocumentConversionInput._mime_from_extension(ext.lower())
if mime is not None and mime.lower() == "application/zip":
objname = obj.name.lower()
if objname.endswith(".xlsx"):
mime = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
elif objname.endswith(".docx"):
mime = "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
elif objname.endswith(".pptx"):
mime = "application/vnd.openxmlformats-officedocument.presentationml.presentation"
mime = mime or _DocumentConversionInput._detect_html_xhtml(content)
mime = mime or _DocumentConversionInput._detect_csv(content)
mime = mime or "text/plain"
formats = MimeTypeToFormat.get(mime, [])
_log.info(f"detected formats: {formats}")
if formats:
if len(formats) == 1 and mime not in ("text/plain"):
return formats[0]
else: # ambiguity in formats
return _DocumentConversionInput._guess_from_content(
content, mime, formats
)
else:
return None
@staticmethod
def _guess_from_content(
content: bytes, mime: str, formats: list[InputFormat]
) -> Optional[InputFormat]:
"""Guess the input format of a document by checking part of its content."""
input_format: Optional[InputFormat] = None
if mime == "application/xml":
content_str = content.decode("utf-8")
match_doctype = re.search(r"<!DOCTYPE [^>]+>", content_str)
if match_doctype:
xml_doctype = match_doctype.group()
if InputFormat.XML_USPTO in formats and any(
item in xml_doctype
for item in (
"us-patent-application-v4",
"us-patent-grant-v4",
"us-grant-025",
"patent-application-publication",
)
):
input_format = InputFormat.XML_USPTO
if InputFormat.XML_JATS in formats and (
"JATS-journalpublishing" in xml_doctype
or "JATS-archive" in xml_doctype
):
input_format = InputFormat.XML_JATS
elif mime == "text/plain":
content_str = content.decode("utf-8")
if InputFormat.XML_USPTO in formats and content_str.startswith("PATN\r\n"):
input_format = InputFormat.XML_USPTO
return input_format
@staticmethod
def _mime_from_extension(ext):
mime = None
if ext in FormatToExtensions[InputFormat.ASCIIDOC]:
mime = FormatToMimeType[InputFormat.ASCIIDOC][0]
elif ext in FormatToExtensions[InputFormat.HTML]:
mime = FormatToMimeType[InputFormat.HTML][0]
elif ext in FormatToExtensions[InputFormat.MD]:
mime = FormatToMimeType[InputFormat.MD][0]
elif ext in FormatToExtensions[InputFormat.CSV]:
mime = FormatToMimeType[InputFormat.CSV][0]
elif ext in FormatToExtensions[InputFormat.JSON_DOCLING]:
mime = FormatToMimeType[InputFormat.JSON_DOCLING][0]
elif ext in FormatToExtensions[InputFormat.PDF]:
mime = FormatToMimeType[InputFormat.PDF][0]
elif ext in FormatToExtensions[InputFormat.DOCX]:
mime = FormatToMimeType[InputFormat.DOCX][0]
elif ext in FormatToExtensions[InputFormat.PPTX]:
mime = FormatToMimeType[InputFormat.PPTX][0]
elif ext in FormatToExtensions[InputFormat.XLSX]:
mime = FormatToMimeType[InputFormat.XLSX][0]
return mime
@staticmethod
def _detect_html_xhtml(
content: bytes,
) -> Optional[Literal["application/xhtml+xml", "application/xml", "text/html"]]:
"""Guess the mime type of an XHTML, HTML, or XML file from its content.
Args:
content: A short piece of a document from its beginning.
Returns:
The mime type of an XHTML, HTML, or XML file, or None if the content does
not match any of these formats.
"""
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"
else:
return "application/xml"
if re.match(
r"(<script.*?>.*?</script>\s*)?(<!doctype\s+html|<html|<head|<body)",
content_str,
re.DOTALL,
):
return "text/html"
p = re.compile(
r"<!doctype\s+(?P<root>[a-zA-Z_:][a-zA-Z0-9_:.-]*)\s+.*>\s*<(?P=root)\b"
)
if p.search(content_str):
return "application/xml"
return None
@staticmethod
def _detect_csv(
content: bytes,
) -> Optional[Literal["text/csv"]]:
"""Guess the mime type of a CSV file from its content.
Args:
content: A short piece of a document from its beginning.
Returns:
The mime type of a CSV file, or None if the content does
not match any of the format.
"""
content_str = content.decode("ascii", errors="ignore").strip()
# Ensure there's at least one newline (CSV is usually multi-line)
if "\n" not in content_str:
return None
# Use csv.Sniffer to detect CSV characteristics
try:
dialect = csv.Sniffer().sniff(content_str)
if dialect.delimiter in {",", ";", "\t", "|"}: # Common delimiters
return "text/csv"
except csv.Error:
return None
return None