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docling-serve/docling_serve/datamodel/convert.py
Michele Dolfi 20ec87a63a feat: Update to Docling 2.28 (#106)
Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
2025-03-24 20:00:25 -04:00

230 lines
6.6 KiB
Python

# Define the input options for the API
from typing import Annotated, Optional
from pydantic import BaseModel, Field
from docling.datamodel.base_models import InputFormat, OutputFormat
from docling.datamodel.pipeline_options import (
EasyOcrOptions,
PdfBackend,
TableFormerMode,
)
from docling.models.factories import get_ocr_factory
from docling_core.types.doc import ImageRefMode
from docling_serve.settings import docling_serve_settings
ocr_factory = get_ocr_factory(
allow_external_plugins=docling_serve_settings.allow_external_plugins
)
ocr_engines_enum = ocr_factory.get_enum()
class ConvertDocumentsOptions(BaseModel):
from_formats: Annotated[
list[InputFormat],
Field(
description=(
"Input format(s) to convert from. String or list of strings. "
f"Allowed values: {', '.join([v.value for v in InputFormat])}. "
"Optional, defaults to all formats."
),
examples=[[v.value for v in InputFormat]],
),
] = list(InputFormat)
to_formats: Annotated[
list[OutputFormat],
Field(
description=(
"Output format(s) to convert to. String or list of strings. "
f"Allowed values: {', '.join([v.value for v in OutputFormat])}. "
"Optional, defaults to Markdown."
),
examples=[[OutputFormat.MARKDOWN]],
),
] = [OutputFormat.MARKDOWN]
image_export_mode: Annotated[
ImageRefMode,
Field(
description=(
"Image export mode for the document (in case of JSON,"
" Markdown or HTML). "
f"Allowed values: {', '.join([v.value for v in ImageRefMode])}. "
"Optional, defaults to Embedded."
),
examples=[ImageRefMode.EMBEDDED.value],
# pattern="embedded|placeholder|referenced",
),
] = ImageRefMode.EMBEDDED
do_ocr: Annotated[
bool,
Field(
description=(
"If enabled, the bitmap content will be processed using OCR. "
"Boolean. Optional, defaults to true"
),
# examples=[True],
),
] = True
force_ocr: Annotated[
bool,
Field(
description=(
"If enabled, replace existing text with OCR-generated "
"text over content. Boolean. Optional, defaults to false."
),
# examples=[False],
),
] = False
ocr_engine: Annotated[ # type: ignore
ocr_engines_enum,
Field(
description=(
"The OCR engine to use. String. "
f"Allowed values: {', '.join([v.value for v in ocr_engines_enum])}. "
"Optional, defaults to easyocr."
),
examples=[EasyOcrOptions.kind],
),
] = ocr_engines_enum(EasyOcrOptions.kind) # type: ignore
ocr_lang: Annotated[
Optional[list[str]],
Field(
description=(
"List of languages used by the OCR engine. "
"Note that each OCR engine has "
"different values for the language names. String or list of strings. "
"Optional, defaults to empty."
),
examples=[["fr", "de", "es", "en"]],
),
] = None
pdf_backend: Annotated[
PdfBackend,
Field(
description=(
"The PDF backend to use. String. "
f"Allowed values: {', '.join([v.value for v in PdfBackend])}. "
f"Optional, defaults to {PdfBackend.DLPARSE_V4.value}."
),
examples=[PdfBackend.DLPARSE_V4],
),
] = PdfBackend.DLPARSE_V4
table_mode: Annotated[
TableFormerMode,
Field(
TableFormerMode.FAST,
description=(
"Mode to use for table structure, String. "
f"Allowed values: {', '.join([v.value for v in TableFormerMode])}. "
"Optional, defaults to fast."
),
examples=[TableFormerMode.FAST],
# pattern="fast|accurate",
),
] = TableFormerMode.FAST
abort_on_error: Annotated[
bool,
Field(
description=(
"Abort on error if enabled. Boolean. Optional, defaults to false."
),
# examples=[False],
),
] = False
return_as_file: Annotated[
bool,
Field(
description=(
"Return the output as a zip file "
"(will happen anyway if multiple files are generated). "
"Boolean. Optional, defaults to false."
),
examples=[False],
),
] = False
do_table_structure: Annotated[
bool,
Field(
description=(
"If enabled, the table structure will be extracted. "
"Boolean. Optional, defaults to true."
),
examples=[True],
),
] = True
include_images: Annotated[
bool,
Field(
description=(
"If enabled, images will be extracted from the document. "
"Boolean. Optional, defaults to true."
),
examples=[True],
),
] = True
images_scale: Annotated[
float,
Field(
description="Scale factor for images. Float. Optional, defaults to 2.0.",
examples=[2.0],
),
] = 2.0
do_code_enrichment: Annotated[
bool,
Field(
description=(
"If enabled, perform OCR code enrichment. "
"Boolean. Optional, defaults to false."
),
examples=[False],
),
] = False
do_formula_enrichment: Annotated[
bool,
Field(
description=(
"If enabled, perform formula OCR, return Latex code. "
"Boolean. Optional, defaults to false."
),
examples=[False],
),
] = False
do_picture_classification: Annotated[
bool,
Field(
description=(
"If enabled, classify pictures in documents. "
"Boolean. Optional, defaults to false."
),
examples=[False],
),
] = False
do_picture_description: Annotated[
bool,
Field(
description=(
"If enabled, describe pictures in documents. "
"Boolean. Optional, defaults to false."
),
examples=[False],
),
] = False