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Update examples and test cases

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Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer 2024-10-09 15:20:27 +02:00
parent 080042d06d
commit 0dfbd0b6fc
25 changed files with 181 additions and 150 deletions
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2
docling/backend/abstract_backend.py
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@ -20,7 +20,7 @@ class AbstractDocumentBackend(ABC):
@classmethod
@abstractmethod
def is_paginated(cls) -> bool:
def supports_pagination(cls) -> bool:
pass
@abstractmethod

2
docling/backend/html_backend.py
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@ -50,7 +50,7 @@ class HTMLDocumentBackend(DeclarativeDocumentBackend):
def is_valid(self) -> bool:
return True
def is_paginated(cls) -> bool:
def supports_pagination(cls) -> bool:
return False
def unload(self):

2
docling/backend/mspowerpoint_backend.py
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@ -57,7 +57,7 @@ class MsPowerpointDocumentBackend(DeclarativeDocumentBackend, PaginatedDocumentB
def is_valid(self) -> bool:
return self.valid
def is_paginated(cls) -> bool:
def supports_pagination(cls) -> bool:
return True # True? if so, how to handle pages...
def unload(self):

2
docling/backend/msword_backend.py
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@ -50,7 +50,7 @@ class MsWordDocumentBackend(DeclarativeDocumentBackend):
def is_valid(self) -> bool:
return True
def is_paginated(cls) -> bool:
def supports_pagination(cls) -> bool:
return False
def unload(self):

6
docling/backend/pdf_backend.py
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@ -4,7 +4,7 @@ from typing import Iterable, Optional, Set
from docling_core.types.experimental import BoundingBox, Size
from PIL import Image
from docling.backend.abstract_backend import AbstractDocumentBackend
from docling.backend.abstract_backend import PaginatedDocumentBackend
from docling.datamodel.base_models import Cell, InputFormat
@ -41,7 +41,7 @@ class PdfPageBackend(ABC):
pass
class PdfDocumentBackend(AbstractDocumentBackend):
class PdfDocumentBackend(PaginatedDocumentBackend):
@abstractmethod
def load_page(self, page_no: int) -> PdfPageBackend:
pass
@ -55,5 +55,5 @@ class PdfDocumentBackend(AbstractDocumentBackend):
return {InputFormat.PDF}
@classmethod
def is_paginated(cls) -> bool:
def supports_pagination(cls) -> bool:
return True

15
docling/cli/main.py
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@ -12,9 +12,10 @@ from docling_core.utils.file import resolve_file_source
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
from docling.datamodel.base_models import ConversionStatus, PdfPipelineOptions
from docling.datamodel.base_models import ConversionStatus, InputFormat
from docling.datamodel.document import ConversionResult, DocumentConversionInput
from docling.pdf_document_converter import PdfDocumentConverter
from docling.datamodel.pipeline_options import PdfPipelineOptions
from docling.document_converter import DocumentConverter, PdfFormatOption
warnings.filterwarnings(action="ignore", category=UserWarning, module="pydantic|torch")
warnings.filterwarnings(action="ignore", category=FutureWarning, module="easyocr")
@ -195,9 +196,13 @@ def convert(
do_table_structure=True,
)
pipeline_options.table_structure_options.do_cell_matching = do_cell_matching
doc_converter = PdfDocumentConverter(
pipeline_options=pipeline_options,
pdf_backend=pdf_backend,
doc_converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options, backend=pdf_backend
)
}
)
# Define input files

2
docling/datamodel/base_models.py
View File

@ -168,5 +168,5 @@ class Page(BaseModel):
class DocumentStream(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
filename: str
name: str
stream: BytesIO

61
docling/datamodel/document.py
View File

@ -74,14 +74,6 @@ _EMPTY_DOCLING_DOC = DoclingDocument(
description=DescriptionItem(), name="dummy"
) # TODO: Stub
_input_format_default_backends: Dict[InputFormat, Type[AbstractDocumentBackend]] = {
InputFormat.PDF: DoclingParseDocumentBackend,
InputFormat.HTML: HTMLDocumentBackend,
InputFormat.DOCX: MsWordDocumentBackend,
InputFormat.PPTX: MsPowerpointDocumentBackend,
InputFormat.IMAGE: None,
}
class InputDocument(BaseModel):
file: PurePath = None
@ -110,14 +102,12 @@ class InputDocument(BaseModel):
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):
@ -128,12 +118,11 @@ class InputDocument(BaseModel):
self.valid = False
else:
self.document_hash = create_file_hash(path_or_stream)
self._init_doc(backend, 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.is_paginated():
if self._backend.supports_pagination():
self.page_count = self._backend.page_count()
if not self.page_count <= self.limits.max_num_pages:
self.valid = False
@ -156,11 +145,9 @@ class InputDocument(BaseModel):
path_or_stream: Union[BytesIO, Path],
) -> None:
if backend is None:
backend = _input_format_default_backends.get(self.format)
if backend is None:
self.valid = False
raise RuntimeError(
f"Could not find suitable backend for file: {self.file}"
f"No backend configuration provided for file {self.file} with format {self.format}. "
f"Please check your format configuration on DocumentConverter."
)
self._backend = backend(
@ -473,47 +460,45 @@ class DocumentConversionInput(BaseModel):
) -> Iterable[InputDocument]:
for obj in self._path_or_stream_iterator:
if isinstance(obj, Path):
mime = filetype.guess_mime(str(obj))
if mime is None:
if obj.suffix == ".html":
mime = "text/html"
format = MimeTypeToFormat.get(mime)
format = self._guess_format(obj)
if format not in format_options.keys():
_log.debug(
f"Skipping input document {obj.name} because its format is not in the whitelist."
)
continue
else:
backend = format_options.get(format).backend
if isinstance(obj, Path):
yield InputDocument(
path_or_stream=obj,
format=format,
filename=obj.name,
limits=self.limits,
backend=backend,
)
elif isinstance(obj, DocumentStream):
mime = filetype.guess_mime(obj.stream.read(8192))
obj.stream.seek(0)
if mime is None:
if obj.suffix == ".html":
mime = "text/html"
format = MimeTypeToFormat.get(mime)
if format not in format_options.keys():
continue
else:
backend = format_options.get(format).backend
yield InputDocument(
path_or_stream=obj.stream,
format=format,
filename=obj.filename,
filename=obj.name,
limits=self.limits,
backend=backend,
)
def _guess_format(self, obj):
if isinstance(obj, Path):
mime = filetype.guess_mime(str(obj))
elif isinstance(obj, DocumentStream):
mime = filetype.guess_mime(obj.stream.read(8192))
else:
1 == 1 # alert!!
if mime is None:
if obj.suffix == ".html":
mime = "text/html"
format = MimeTypeToFormat.get(mime)
return format
@classmethod
def from_paths(cls, paths: Iterable[Path], limits: Optional[DocumentLimits] = None):
paths = [Path(p) for p in paths]

4
docling/datamodel/pipeline_options.py
View File

@ -1,7 +1,7 @@
import warnings
from enum import Enum, auto
from pathlib import Path
from typing import Annotated, Optional, Self, Union
from typing import Annotated, Optional, Union
from pydantic import BaseModel, Field, model_validator
@ -40,7 +40,7 @@ class PdfPipelineOptions(PipelineOptions):
images_scale: Optional[float] = None # if set, the scale for generated images
@model_validator(mode="after")
def set_page_images_from_deprecated(self) -> Self:
def set_page_images_from_deprecated(self) -> "PdfPipelineOptions":
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
default_scale = 1.0

84
docling/document_converter.py
View File

@ -5,10 +5,21 @@ from pathlib import Path
from typing import Dict, Iterable, List, Optional, Type
import requests
from pydantic import AnyHttpUrl, BaseModel, ConfigDict, TypeAdapter, ValidationError
from pydantic import (
AnyHttpUrl,
BaseModel,
ConfigDict,
TypeAdapter,
ValidationError,
field_validator,
model_validator,
)
from docling.backend.abstract_backend import AbstractDocumentBackend
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.html_backend import HTMLDocumentBackend
from docling.backend.mspowerpoint_backend import MsPowerpointDocumentBackend
from docling.backend.msword_backend import MsWordDocumentBackend
from docling.datamodel.base_models import ConversionStatus, InputFormat
from docling.datamodel.document import (
ConversionResult,
@ -28,50 +39,53 @@ _log = logging.getLogger(__name__)
class FormatOption(BaseModel):
pipeline_cls: Type[BaseModelPipeline]
pipeline_options: Optional[PipelineOptions] = None
backend: Optional[Type[AbstractDocumentBackend]] = None
backend: Type[AbstractDocumentBackend]
model_config = ConfigDict(arbitrary_types_allowed=True)
def __init__(
self,
pipeline_cls: Type[BaseModelPipeline],
pipeline_options: Optional[PipelineOptions] = None,
backend: Optional[Type[AbstractDocumentBackend]] = None,
):
if pipeline_options is None:
pipeline_options = pipeline_cls.get_default_options()
@model_validator(mode="after")
def set_optional_field_default(self) -> "FormatOption":
if self.pipeline_options is None:
self.pipeline_options = self.pipeline_cls.get_default_options()
return self
super().__init__(
pipeline_cls=pipeline_cls,
pipeline_options=pipeline_options,
backend=backend,
)
class WordFormatOption(FormatOption):
pipeline_cls: Type = SimpleModelPipeline
backend: Type[AbstractDocumentBackend] = MsWordDocumentBackend
class PowerpointFormatOption(FormatOption):
pipeline_cls: Type = SimpleModelPipeline
backend: Type[AbstractDocumentBackend] = MsPowerpointDocumentBackend
class HTMLFormatOption(FormatOption):
pipeline_cls: Type = SimpleModelPipeline
backend: Type[AbstractDocumentBackend] = HTMLDocumentBackend
class PdfFormatOption(FormatOption):
def __init__(
self,
pipeline_cls: Optional[Type[BaseModelPipeline]] = None,
pipeline_options: Optional[PipelineOptions] = None,
backend: Optional[Type[AbstractDocumentBackend]] = None,
):
if pipeline_cls is None:
pipeline_cls = StandardPdfModelPipeline
if backend is None:
backend = DoclingParseDocumentBackend
super().__init__(
pipeline_cls=pipeline_cls,
pipeline_options=pipeline_options,
backend=backend,
)
pipeline_cls: Type = StandardPdfModelPipeline
backend: Type[AbstractDocumentBackend] = DoclingParseDocumentBackend
_format_to_default_options = {
InputFormat.DOCX: FormatOption(pipeline_cls=SimpleModelPipeline),
InputFormat.PPTX: FormatOption(pipeline_cls=SimpleModelPipeline),
InputFormat.HTML: FormatOption(pipeline_cls=SimpleModelPipeline),
InputFormat.IMAGE: FormatOption(pipeline_cls=StandardPdfModelPipeline),
InputFormat.PDF: FormatOption(pipeline_cls=StandardPdfModelPipeline),
InputFormat.DOCX: FormatOption(
pipeline_cls=SimpleModelPipeline, backend=MsWordDocumentBackend
),
InputFormat.PPTX: FormatOption(
pipeline_cls=SimpleModelPipeline, backend=MsPowerpointDocumentBackend
),
InputFormat.HTML: FormatOption(
pipeline_cls=SimpleModelPipeline, backend=HTMLDocumentBackend
),
InputFormat.IMAGE: FormatOption(
pipeline_cls=StandardPdfModelPipeline, backend=DoclingParseDocumentBackend
),
InputFormat.PDF: FormatOption(
pipeline_cls=StandardPdfModelPipeline, backend=DoclingParseDocumentBackend
),
}

9
docling/pipeline/base_model_pipeline.py
View File

@ -61,8 +61,13 @@ class PaginatedModelPipeline(BaseModelPipeline): # TODO this is a bad name.
_log.info(f"Processing document {in_doc.file.name}")
if not isinstance(in_doc._backend, PdfDocumentBackend):
conv_res.status = ConversionStatus.FAILURE
return conv_res
raise RuntimeError(
f"The selected backend {type(in_doc._backend).__name__} for {in_doc.file} is not a PDF backend. "
f"Can not convert this with a PDF pipeline. "
f"Please check your format configuration on DocumentConverter."
)
# conv_res.status = ConversionStatus.FAILURE
# return conv_res
for i in range(0, in_doc.page_count):
conv_res.pages.append(Page(page_no=i))

9
docling/pipeline/simple_model_pipeline.py
View File

@ -32,8 +32,13 @@ class SimpleModelPipeline(BaseModelPipeline):
return conv_res
if not isinstance(in_doc._backend, DeclarativeDocumentBackend):
conv_res.status = ConversionStatus.FAILURE
return conv_res
raise RuntimeError(
f"The selected backend {type(in_doc._backend).__name__} for {in_doc.file} is not a declarative backend. "
f"Can not convert this with simple pipeline. "
f"Please check your format configuration on DocumentConverter."
)
# conv_res.status = ConversionStatus.FAILURE
# return conv_res
# Instead of running a page-level pipeline to build up the document structure,
# the backend is expected to be of type DeclarativeDocumentBackend, which can output

2
examples/batch_convert.py
View File

@ -12,7 +12,7 @@ from docling.document_converter import DocumentConverter
_log = logging.getLogger(__name__)
USE_EXPERIMENTAL = False
USE_EXPERIMENTAL = True
def export_documents(

6
examples/custom_convert.py
View File

@ -7,7 +7,7 @@ from typing import Iterable
from docling.datamodel.base_models import ConversionStatus, InputFormat
from docling.datamodel.document import ConversionResult, DocumentConversionInput
from docling.datamodel.pipeline_options import PdfPipelineOptions
from docling.document_converter import DocumentConverter, FormatOption
from docling.document_converter import DocumentConverter, FormatOption, PdfFormatOption
from docling.pipeline.standard_pdf_model_pipeline import StandardPdfModelPipeline
_log = logging.getLogger(__name__)
@ -104,9 +104,7 @@ def main():
doc_converter = DocumentConverter(
format_options={
InputFormat.PDF: FormatOption(
pipeline_cls=StandardPdfModelPipeline, pipeline_options=pipeline_options
)
InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options)
}
)

42
examples/run_with_formats.py
View File

@ -3,9 +3,15 @@ from pathlib import Path
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.backend.msword_backend import MsWordDocumentBackend
from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import DocumentConversionInput
from docling.document_converter import DocumentConverter, FormatOption, PdfFormatOption
from docling.document_converter import (
DocumentConverter,
FormatOption,
PdfFormatOption,
WordFormatOption,
)
from docling.pipeline.simple_model_pipeline import SimpleModelPipeline
from docling.pipeline.standard_pdf_model_pipeline import StandardPdfModelPipeline
@ -22,23 +28,25 @@ input_paths = [
]
input = DocumentConversionInput.from_paths(input_paths)
# for defaults use:
doc_converter = DocumentConverter()
## for defaults use:
# doc_converter = DocumentConverter()
# to customize use:
# doc_converter = DocumentConverter( # all of the below is optional, has internal defaults.
# formats=[
# InputFormat.PDF,
# InputFormat.DOCX,
# ], # whitelist formats, other files are ignored.
# format_options={
# InputFormat.PDF: PdfFormatOption(backend=DoclingParseDocumentBackend),
# InputFormat.DOCX: FormatOption(
# pipeline_cls=StandardPdfModelPipeline, backend=MsWordDocumentBackend
# ),
# # InputFormat.IMAGE: PdfFormatOption(),
# },
# )
## to customize use:
doc_converter = DocumentConverter( # all of the below is optional, has internal defaults.
formats=[
InputFormat.PDF,
InputFormat.DOCX,
], # whitelist formats, other files are ignored.
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_cls=StandardPdfModelPipeline, backend=PyPdfiumDocumentBackend
), # PdfFormatOption(backend=PyPdfiumDocumentBackend),
InputFormat.DOCX: WordFormatOption(
pipeline_cls=SimpleModelPipeline # , backend=MsWordDocumentBackend
),
# InputFormat.IMAGE: PdfFormatOption(),
},
)
conv_results = doc_converter.convert(input)

2
tests/data/2203.01017v2.pages.json
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tests/data/2206.01062.pages.json
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tests/data/2305.03393v1-pg9.pages.json
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tests/data/redp5110.pages.json
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tests/data/redp5695.pages.json
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14
tests/test_e2e_conversion.py
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@ -1,9 +1,10 @@
from pathlib import Path
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.datamodel.base_models import InputFormat
from docling.datamodel.document import ConversionResult
from docling.datamodel.pipeline_options import PipelineOptions
from docling.document_converter import DocumentConverter
from docling.datamodel.pipeline_options import PdfPipelineOptions, PipelineOptions
from docling.document_converter import DocumentConverter, PdfFormatOption
from .verify_utils import verify_conversion_result
@ -22,14 +23,17 @@ def get_pdf_paths():
def get_converter():
pipeline_options = PipelineOptions()
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = False
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
converter = DocumentConverter(
pipeline_options=pipeline_options,
pdf_backend=DoclingParseDocumentBackend,
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options, backend=DoclingParseDocumentBackend
)
}
)
return converter

17
tests/test_interfaces.py
View File

@ -4,10 +4,10 @@ from pathlib import Path
import pytest
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.datamodel.base_models import DocumentStream
from docling.datamodel.base_models import DocumentStream, InputFormat
from docling.datamodel.document import ConversionResult, DocumentConversionInput
from docling.datamodel.pipeline_options import PipelineOptions
from docling.document_converter import DocumentConverter
from docling.datamodel.pipeline_options import PdfPipelineOptions, PipelineOptions
from docling.document_converter import DocumentConverter, PdfFormatOption
from .verify_utils import verify_conversion_result
@ -21,14 +21,17 @@ def get_pdf_path():
@pytest.fixture
def converter():
pipeline_options = PipelineOptions()
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = False
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
converter = DocumentConverter(
pipeline_options=pipeline_options,
pdf_backend=DoclingParseDocumentBackend,
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options, backend=DoclingParseDocumentBackend
)
}
)
return converter
@ -61,7 +64,7 @@ def test_batch_bytes(converter: DocumentConverter):
print(f"converting {pdf_path}")
buf = BytesIO(pdf_path.open("rb").read())
docs = [DocumentStream(filename=pdf_path.name, stream=buf)]
docs = [DocumentStream(name=pdf_path.name, stream=buf)]
conv_input = DocumentConversionInput.from_streams(docs)
results = converter.convert(conv_input)

14
tests/test_options.py
View File

@ -3,10 +3,10 @@ from pathlib import Path
import pytest
from docling.backend.docling_parse_backend import DoclingParseDocumentBackend
from docling.datamodel.base_models import ConversionStatus
from docling.datamodel.base_models import ConversionStatus, InputFormat
from docling.datamodel.document import ConversionResult
from docling.datamodel.pipeline_options import PipelineOptions, TableFormerMode
from docling.document_converter import DocumentConverter
from docling.datamodel.pipeline_options import PdfPipelineOptions, TableFormerMode
from docling.document_converter import DocumentConverter, PdfFormatOption
@pytest.fixture
@ -17,15 +17,19 @@ def test_doc_path():
def get_converters_with_table_options():
for cell_matching in [True, False]:
for mode in [TableFormerMode.FAST, TableFormerMode.ACCURATE]:
pipeline_options = PipelineOptions()
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = False
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = cell_matching
pipeline_options.table_structure_options.mode = mode
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options,
pdf_backend=DoclingParseDocumentBackend,
backend=DoclingParseDocumentBackend,
)
}
)
yield converter