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Put stub for experimental format export

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Signed-off-by: Christoph Auer <cau@zurich.ibm.com>
This commit is contained in:
Christoph Auer 2024-09-20 11:05:26 +02:00
parent abb6dddea8
commit ac51a09065
5 changed files with 90 additions and 71 deletions
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5
docling/datamodel/document.py
View File

@ -3,7 +3,7 @@ from io import BytesIO
from pathlib import Path, PurePath from pathlib import Path, PurePath
from typing import ClassVar, Dict, Iterable, List, Optional, Tuple, Type, Union from typing import ClassVar, Dict, Iterable, List, Optional, Tuple, Type, Union
from docling_core.types import BaseCell, BaseText from docling_core.types import BaseCell, BaseText, DoclingDocument
from docling_core.types import Document as DsDocument from docling_core.types import Document as DsDocument
from docling_core.types import DocumentDescription as DsDocumentDescription from docling_core.types import DocumentDescription as DsDocumentDescription
from docling_core.types import FileInfoObject as DsFileInfoObject from docling_core.types import FileInfoObject as DsFileInfoObject
@ -60,6 +60,8 @@ _EMPTY_DOC = DsDocument(
), ),
) )
_EMPTY_DOCLING_DOC = DoclingDocument(description={}, file_info={}) # TODO: Stub
class InputDocument(BaseModel): class InputDocument(BaseModel):
file: PurePath = None file: PurePath = None
@ -137,6 +139,7 @@ class ConvertedDocument(BaseModel):
assembled: AssembledUnit = AssembledUnit() assembled: AssembledUnit = AssembledUnit()
output: DsDocument = _EMPTY_DOC output: DsDocument = _EMPTY_DOC
experimental: DoclingDocument = _EMPTY_DOCLING_DOC
def _to_ds_document(self) -> DsDocument: def _to_ds_document(self) -> DsDocument:
title = "" title = ""

2
docling/document_converter.py
View File

@ -289,4 +289,4 @@ class DocumentConverter:
elements=all_elements, headers=all_headers, body=all_body elements=all_elements, headers=all_headers, body=all_body
) )
conv_res.output = self.glm_model(conv_res) conv_res.output, conv_res.experimental = self.glm_model(conv_res)

15
docling/models/ds_glm_model.py
View File

@ -1,10 +1,14 @@
import copy import copy
import random import random
from typing import Tuple
from deepsearch_glm.nlp_utils import init_nlp_model from deepsearch_glm.nlp_utils import init_nlp_model
from deepsearch_glm.utils.doc_utils import to_legacy_document_format from deepsearch_glm.utils.doc_utils import (
to_docling_document,
to_legacy_document_format,
)
from deepsearch_glm.utils.load_pretrained_models import load_pretrained_nlp_models from deepsearch_glm.utils.load_pretrained_models import load_pretrained_nlp_models
from docling_core.types import BaseText from docling_core.types import BaseText, DoclingDocument
from docling_core.types import Document as DsDocument from docling_core.types import Document as DsDocument
from docling_core.types import Ref from docling_core.types import Ref
from docling_core.types.experimental.base import BoundingBox, CoordOrigin from docling_core.types.experimental.base import BoundingBox, CoordOrigin
@ -25,7 +29,9 @@ class GlmModel:
model = init_nlp_model(model_names=self.model_names) model = init_nlp_model(model_names=self.model_names)
self.model = model self.model = model
def __call__(self, conv_res: ConversionResult) -> DsDocument: def __call__(
self, conv_res: ConversionResult
) -> Tuple[DsDocument, DoclingDocument]:
ds_doc = conv_res._to_ds_document() ds_doc = conv_res._to_ds_document()
ds_doc_dict = ds_doc.model_dump(by_alias=True) ds_doc_dict = ds_doc.model_dump(by_alias=True)
@ -34,6 +40,7 @@ class GlmModel:
glm_doc, ds_doc_dict, update_name_label=True glm_doc, ds_doc_dict, update_name_label=True
) )
docling_doc: DoclingDocument = to_docling_document(glm_doc) # Experimental
exported_doc = DsDocument.model_validate(ds_doc_dict) exported_doc = DsDocument.model_validate(ds_doc_dict)
# DEBUG code: # DEBUG code:
@ -84,4 +91,4 @@ class GlmModel:
# draw_clusters_and_cells(ds_doc, 0) # draw_clusters_and_cells(ds_doc, 0)
# draw_clusters_and_cells(exported_doc, 0) # draw_clusters_and_cells(exported_doc, 0)
return exported_doc return (exported_doc, docling_doc)

10
examples/batch_convert.py
View File

@ -4,6 +4,8 @@ import time
from pathlib import Path from pathlib import Path
from typing import Iterable from typing import Iterable
import yaml
from docling.datamodel.base_models import ConversionStatus, PipelineOptions from docling.datamodel.base_models import ConversionStatus, PipelineOptions
from docling.datamodel.document import ConversionResult, DocumentConversionInput from docling.datamodel.document import ConversionResult, DocumentConversionInput
from docling.document_converter import DocumentConverter from docling.document_converter import DocumentConverter
@ -30,6 +32,14 @@ def export_documents(
with (output_dir / f"{doc_filename}.json").open("w") as fp: with (output_dir / f"{doc_filename}.json").open("w") as fp:
fp.write(json.dumps(conv_res.render_as_dict())) fp.write(json.dumps(conv_res.render_as_dict()))
# Export Docling document format to YAML (experimental):
with (output_dir / f"{doc_filename}.yaml").open("w") as fp:
fp.write(
yaml.safe_dump(
conv_res.experimental.model_dump(mode="json", by_alias=True)
)
)
# Export Text format: # Export Text format:
with (output_dir / f"{doc_filename}.txt").open("w") as fp: with (output_dir / f"{doc_filename}.txt").open("w") as fp:
fp.write(conv_res.render_as_text()) fp.write(conv_res.render_as_text())

129
poetry.lock generated
View File

@ -150,13 +150,13 @@ files = [
[[package]] [[package]]
name = "anyio" name = "anyio"
version = "4.4.0" version = "4.5.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations" description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = true optional = true
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, {file = "anyio-4.5.0-py3-none-any.whl", hash = "sha256:fdeb095b7cc5a5563175eedd926ec4ae55413bb4be5770c424af0ba46ccb4a78"},
{file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, {file = "anyio-4.5.0.tar.gz", hash = "sha256:c5a275fe5ca0afd788001f58fca1e69e29ce706d746e317d660e21f70c530ef9"},
] ]
[package.dependencies] [package.dependencies]
@ -166,9 +166,9 @@ sniffio = ">=1.1"
typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""} typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
[package.extras] [package.extras]
doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
trio = ["trio (>=0.23)"] trio = ["trio (>=0.26.1)"]
[[package]] [[package]]
name = "appnope" name = "appnope"
@ -882,7 +882,7 @@ toolkit = ["deepsearch-toolkit (>=0.31.0)"]
type = "git" type = "git"
url = "ssh://git@github.com/DS4SD/deepsearch-glm.git" url = "ssh://git@github.com/DS4SD/deepsearch-glm.git"
reference = "cau/new-format-dev" reference = "cau/new-format-dev"
resolved_reference = "6d86b7ddaa8911ec57df9bbabf981a42166e53d2" resolved_reference = "60e4bda21fbe7ee8849d27a9321ba37cca04e7aa"
[[package]] [[package]]
name = "deprecated" name = "deprecated"
@ -960,17 +960,17 @@ tabulate = "^0.9.0"
type = "git" type = "git"
url = "ssh://git@github.com/DS4SD/docling-core.git" url = "ssh://git@github.com/DS4SD/docling-core.git"
reference = "cau/new-format-dev" reference = "cau/new-format-dev"
resolved_reference = "ed087646ec9ad86c5b54eb37d7b99322d03487f0" resolved_reference = "bdbd93e3297b7618483f76c85f2fecf876f0af2b"
[[package]] [[package]]
name = "docling-ibm-models" name = "docling-ibm-models"
version = "1.2.0" version = "1.2.1"
description = "This package contains the AI models used by the Docling PDF conversion package" description = "This package contains the AI models used by the Docling PDF conversion package"
optional = false optional = false
python-versions = "<4.0,>=3.10" python-versions = "<4.0,>=3.10"
files = [ files = [
{file = "docling_ibm_models-1.2.0-py3-none-any.whl", hash = "sha256:1bad8fb67ab1ff71a6120530c76272e48b71c5829383d381927e8e51c2204eee"}, {file = "docling_ibm_models-1.2.1-py3-none-any.whl", hash = "sha256:f87e091cc6ead17bcde3bd74dd00325719874b6353569c692285f6b8e733efec"},
{file = "docling_ibm_models-1.2.0.tar.gz", hash = "sha256:e5558c66433603a7acfe0dd9e7bc12e99680af9484b26cf3e61e03b1cbdd3e2d"}, {file = "docling_ibm_models-1.2.1.tar.gz", hash = "sha256:5a3be3a67ecca3af168d69ebee48cf0c295abe33fbb074c5313138d39520c7ff"},
] ]
[package.dependencies] [package.dependencies]
@ -993,35 +993,35 @@ tqdm = ">=4.64.0,<5.0.0"
[[package]] [[package]]
name = "docling-parse" name = "docling-parse"
version = "1.2.0" version = "1.2.1"
description = "Simple package to extract text with coordinates from programmatic PDFs" description = "Simple package to extract text with coordinates from programmatic PDFs"
optional = false optional = false
python-versions = "<4.0,>=3.9" python-versions = "<4.0,>=3.9"
files = [ files = [
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] ]
[package.dependencies] [package.dependencies]
@ -2329,13 +2329,13 @@ files = [
[[package]] [[package]]
name = "langchain-core" name = "langchain-core"
version = "0.2.40" version = "0.2.41"
description = "Building applications with LLMs through composability" description = "Building applications with LLMs through composability"
optional = true optional = true
python-versions = "<4.0,>=3.8.1" python-versions = "<4.0,>=3.8.1"
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