OCRmyPDF/tests/test_hocrtransform.py

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# © 2015 James R. Barlow: github.com/jbarlow83
#
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
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from __future__ import annotations
import re
from io import StringIO
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import pytest
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfinterp import PDFPageInterpreter, PDFResourceManager
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfparser import PDFParser
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from PIL import Image
from ocrmypdf import hocrtransform
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from ocrmypdf._exec.tesseract import HOCR_TEMPLATE
from ocrmypdf.helpers import check_pdf
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from .conftest import check_ocrmypdf
def text_from_pdf(filename):
output_string = StringIO()
with open(filename, 'rb') as in_file:
parser = PDFParser(in_file)
doc = PDFDocument(parser)
rsrcmgr = PDFResourceManager()
device = TextConverter(rsrcmgr, output_string, laparams=LAParams())
interpreter = PDFPageInterpreter(rsrcmgr, device)
for page in PDFPage.create_pages(doc):
interpreter.process_page(page)
return output_string.getvalue()
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# pylint: disable=redefined-outer-name
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@pytest.fixture
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def blank_hocr(tmp_path):
filename = tmp_path / "blank.hocr"
filename.write_text(HOCR_TEMPLATE)
return filename
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def test_mono_image(blank_hocr, outdir):
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im = Image.new('1', (8, 8), 0)
for n in range(8):
im.putpixel((n, n), 1)
im.save(outdir / 'mono.tif', format='TIFF')
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hocr = hocrtransform.HocrTransform(hocr_filename=str(blank_hocr), dpi=300)
hocr.to_pdf(
out_filename=str(outdir / 'mono.pdf'), image_filename=str(outdir / 'mono.tif')
)
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check_pdf(str(outdir / 'mono.pdf'))
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@pytest.mark.slow
def test_hocrtransform_matches_sandwich(resources, outdir):
check_ocrmypdf(resources / 'ccitt.pdf', outdir / 'hocr.pdf', '--pdf-renderer=hocr')
check_ocrmypdf(
resources / 'ccitt.pdf', outdir / 'tess.pdf', '--pdf-renderer=sandwich'
)
# Slight differences in spacing and word order can appear, so at least ensure
# that we get all of the same words...
def clean(s):
s = re.sub(r'\s+', ' ', s)
words = s.split(' ')
return '\n'.join(sorted(words))
hocr_txt = clean(text_from_pdf(outdir / 'hocr.pdf'))
tess_txt = clean(text_from_pdf(outdir / 'tess.pdf'))
# from pathlib import Path
# Path('hocr.txt').write_text(hocr_txt)
# Path('tess.txt').write_text(tess_txt)
assert hocr_txt == tess_txt