docling/tests/test_e2e_ocr_conversion.py
Michele Dolfi 5458a88464
ci: add coverage and ruff (#1383)
* add coverage calculation and push

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

* new codecov version and usage of token

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

* enable ruff formatter instead of black and isort

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

* apply ruff lint fixes

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

* apply ruff unsafe fixes

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

* add removed imports

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

* runs 1 on linter issues

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

* finalize linter fixes

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

* Update pyproject.toml

Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
Signed-off-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com>

---------

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>
Signed-off-by: Michele Dolfi <97102151+dolfim-ibm@users.noreply.github.com>
Co-authored-by: Cesar Berrospi Ramis <75900930+ceberam@users.noreply.github.com>
2025-04-14 18:01:26 +02:00

103 lines
3.2 KiB
Python

import sys
from pathlib import Path
from typing import List
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 (
AcceleratorDevice,
EasyOcrOptions,
OcrMacOptions,
OcrOptions,
PdfPipelineOptions,
RapidOcrOptions,
TesseractCliOcrOptions,
TesseractOcrOptions,
)
from docling.document_converter import DocumentConverter, PdfFormatOption
from .test_data_gen_flag import GEN_TEST_DATA
from .verify_utils import verify_conversion_result_v1, verify_conversion_result_v2
GENERATE_V1 = GEN_TEST_DATA
GENERATE_V2 = GEN_TEST_DATA
def get_pdf_paths():
# Define the directory you want to search
directory = Path("./tests/data_scanned")
# List all PDF files in the directory and its subdirectories
pdf_files = sorted(directory.rglob("*.pdf"))
return pdf_files
def get_converter(ocr_options: OcrOptions):
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = True
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
pipeline_options.ocr_options = ocr_options
pipeline_options.accelerator_options.device = AcceleratorDevice.CPU
converter = DocumentConverter(
format_options={
InputFormat.PDF: PdfFormatOption(
pipeline_options=pipeline_options,
backend=DoclingParseDocumentBackend,
)
}
)
return converter
def test_e2e_conversions():
pdf_paths = get_pdf_paths()
engines: List[OcrOptions] = [
EasyOcrOptions(),
TesseractOcrOptions(),
TesseractCliOcrOptions(),
EasyOcrOptions(force_full_page_ocr=True),
TesseractOcrOptions(force_full_page_ocr=True),
TesseractOcrOptions(force_full_page_ocr=True, lang=["auto"]),
TesseractCliOcrOptions(force_full_page_ocr=True),
TesseractCliOcrOptions(force_full_page_ocr=True, lang=["auto"]),
]
# rapidocr is only available for Python >=3.6,<3.13
if sys.version_info < (3, 13):
engines.append(RapidOcrOptions())
engines.append(RapidOcrOptions(force_full_page_ocr=True))
# only works on mac
if "darwin" == sys.platform:
engines.append(OcrMacOptions())
engines.append(OcrMacOptions(force_full_page_ocr=True))
for ocr_options in engines:
print(
f"Converting with ocr_engine: {ocr_options.kind}, language: {ocr_options.lang}"
)
converter = get_converter(ocr_options=ocr_options)
for pdf_path in pdf_paths:
print(f"converting {pdf_path}")
doc_result: ConversionResult = converter.convert(pdf_path)
verify_conversion_result_v1(
input_path=pdf_path,
doc_result=doc_result,
generate=GENERATE_V1,
fuzzy=True,
)
verify_conversion_result_v2(
input_path=pdf_path,
doc_result=doc_result,
generate=GENERATE_V2,
fuzzy=True,
)