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chore: reuse DocumentStream from docling-core

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Signed-off-by: Panos Vagenas <35837085+vagenas@users.noreply.github.com>
This commit is contained in:
Panos Vagenas 2024-12-02 14:58:12 +01:00
parent 33cff98d36
commit 79a4788277
3 changed files with 13 additions and 13 deletions
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9
docling/datamodel/base_models.py
View File

@ -1,5 +1,4 @@
from enum import Enum, auto
from io import BytesIO
from typing import TYPE_CHECKING, Dict, List, Optional, Union
from docling_core.types.doc import (
@ -9,6 +8,7 @@ from docling_core.types.doc import (
Size,
TableCell,
)
from docling_core.types.io import DocumentStream
from PIL.Image import Image
from pydantic import BaseModel, ConfigDict
@ -207,10 +207,3 @@ class Page(BaseModel):
@property
def image(self) -> Optional[Image]:
return self.get_image(scale=self._default_image_scale)
class DocumentStream(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
name: str
stream: BytesIO

15
poetry.lock generated
View File

@ -896,13 +896,13 @@ files = [
[[package]]
name = "docling-core"
version = "2.5.1"
version = "2.6.0"
description = "A python library to define and validate data types in Docling."
optional = false
python-versions = "<4.0,>=3.9"
files = [
{file = "docling_core-2.5.1-py3-none-any.whl", hash = "sha256:e4a5626520714c25a5ec2f9f7495407e730485257c2272e8467faae7357435bf"},
{file = "docling_core-2.5.1.tar.gz", hash = "sha256:e9a7c7c46f869b13747436a2ce42df3632af655e1a3af574dfcd114e71dcbb75"},
{file = "docling_core-2.6.0-py3-none-any.whl", hash = "sha256:feda35ad24fb01d983eda3ea817ff10062d849832532bdbadd0326152902e2ad"},
{file = "docling_core-2.6.0.tar.gz", hash = "sha256:1aa7b13e22cecf43a3127d6874bbf5a8a4c72e4da66c2aa2a69c651cfa574d5a"},
]
[package.dependencies]
@ -913,6 +913,7 @@ pillow = ">=10.3.0,<11.0.0"
pydantic = ">=2.6.0,<2.10"
pyyaml = ">=5.1,<7.0.0"
tabulate = ">=0.9.0,<0.10.0"
typing-extensions = ">=4.12.2,<5.0.0"
[[package]]
name = "docling-ibm-models"
@ -3200,6 +3201,7 @@ files = [
{file = "nh3-0.2.19-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:00810cd5275f5c3f44b9eb0e521d1a841ee2f8023622de39ffc7d88bd533d8e0"},
{file = "nh3-0.2.19-cp38-abi3-win32.whl", hash = "sha256:7e98621856b0a911c21faa5eef8f8ea3e691526c2433f9afc2be713cb6fbdb48"},
{file = "nh3-0.2.19-cp38-abi3-win_amd64.whl", hash = "sha256:75c7cafb840f24430b009f7368945cb5ca88b2b54bb384ebfba495f16bc9c121"},
{file = "nh3-0.2.19.tar.gz", hash = "sha256:790056b54c068ff8dceb443eaefb696b84beff58cca6c07afd754d17692a4804"},
]
[[package]]
@ -6028,6 +6030,11 @@ files = [
{file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f60021ec1574e56632be2a36b946f8143bf4e5e6af4a06d85281adc22938e0dd"},
{file = "scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:394397841449853c2290a32050382edaec3da89e35b3e03d6cc966aebc6a8ae6"},
{file = "scikit_learn-1.5.2-cp312-cp312-win_amd64.whl", hash = "sha256:57cc1786cfd6bd118220a92ede80270132aa353647684efa385a74244a41e3b1"},
{file = "scikit_learn-1.5.2-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e9a702e2de732bbb20d3bad29ebd77fc05a6b427dc49964300340e4c9328b3f5"},
{file = "scikit_learn-1.5.2-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:b0768ad641981f5d3a198430a1d31c3e044ed2e8a6f22166b4d546a5116d7908"},
{file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:178ddd0a5cb0044464fc1bfc4cca5b1833bfc7bb022d70b05db8530da4bb3dd3"},
{file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7284ade780084d94505632241bf78c44ab3b6f1e8ccab3d2af58e0e950f9c12"},
{file = "scikit_learn-1.5.2-cp313-cp313-win_amd64.whl", hash = "sha256:b7b0f9a0b1040830d38c39b91b3a44e1b643f4b36e36567b80b7c6bd2202a27f"},
{file = "scikit_learn-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:757c7d514ddb00ae249832fe87100d9c73c6ea91423802872d9e74970a0e40b9"},
{file = "scikit_learn-1.5.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:52788f48b5d8bca5c0736c175fa6bdaab2ef00a8f536cda698db61bd89c551c1"},
{file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:643964678f4b5fbdc95cbf8aec638acc7aa70f5f79ee2cdad1eec3df4ba6ead8"},
@ -7646,4 +7653,4 @@ tesserocr = ["tesserocr"]
[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "2e7c27ffe32d556a66cc1008a7147a90c17f63b01d2a6cde3e7b941ba7e268d7"
content-hash = "6d93463a9d8ab91262b1e3947ac21ce63c2757d8b0ca68bc857516d742f1a621"

2
pyproject.toml
View File

@ -26,7 +26,7 @@ packages = [{include = "docling"}]
######################
python = "^3.9"
pydantic = ">=2.0.0,<2.10"
docling-core = "^2.5.1"
docling-core = "^2.6.0"
docling-ibm-models = "^2.0.6"
deepsearch-glm = "^0.26.1"
filetype = "^1.2.0"