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83 lines
2.5 KiB
Python
83 lines
2.5 KiB
Python
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import sys
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from pathlib import Path
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from typing import List
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from docling.datamodel.base_models import InputFormat
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from docling.datamodel.document import ConversionResult, DoclingDocument
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from docling.datamodel.pipeline_options import (
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EasyOcrOptions,
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OcrMacOptions,
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OcrOptions,
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RapidOcrOptions,
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TesseractCliOcrOptions,
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TesseractOcrOptions,
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)
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from docling.document_converter import DocumentConverter, ImageFormatOption
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from tests.verify_utils import verify_conversion_result_v2
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from .test_data_gen_flag import GEN_TEST_DATA
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GENERATE = GEN_TEST_DATA
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def get_webp_paths():
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# Define the directory you want to search
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directory = Path("./tests/data/webp/")
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# List all WEBP files in the directory and its subdirectories
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webp_files = sorted(directory.rglob("*.webp"))
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return webp_files
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def get_converter(ocr_options: OcrOptions):
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image_format_option = ImageFormatOption()
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image_format_option.pipeline_options.ocr_options = ocr_options
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converter = DocumentConverter(
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format_options={InputFormat.IMAGE: image_format_option},
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allowed_formats=[InputFormat.IMAGE],
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)
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return converter
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def test_e2e_webp_conversions():
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webp_paths = get_webp_paths()
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engines: List[OcrOptions] = [
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EasyOcrOptions(),
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TesseractOcrOptions(),
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TesseractCliOcrOptions(),
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EasyOcrOptions(force_full_page_ocr=True),
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TesseractOcrOptions(force_full_page_ocr=True),
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TesseractOcrOptions(force_full_page_ocr=True, lang=["auto"]),
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TesseractCliOcrOptions(force_full_page_ocr=True),
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TesseractCliOcrOptions(force_full_page_ocr=True, lang=["auto"]),
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]
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# rapidocr is only available for Python >=3.6,<3.13
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if sys.version_info < (3, 13):
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engines.append(RapidOcrOptions())
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engines.append(RapidOcrOptions(force_full_page_ocr=True))
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# only works on mac
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if "darwin" == sys.platform:
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engines.append(OcrMacOptions())
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engines.append(OcrMacOptions(force_full_page_ocr=True))
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for ocr_options in engines:
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print(
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f"Converting with ocr_engine: {ocr_options.kind}, language: {ocr_options.lang}"
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)
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converter = get_converter(ocr_options=ocr_options)
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for webp_path in webp_paths:
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print(f"converting {webp_path}")
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doc_result: ConversionResult = converter.convert(webp_path)
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verify_conversion_result_v2(
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input_path=webp_path,
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doc_result=doc_result,
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generate=GENERATE,
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fuzzy=True,
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)
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