namespace_to_options() only copied argparse namespace keys that were literal members of OcrOptions.model_fields. The CLI dest for both --jpeg-quality and --jpg-quality was jpeg_quality, but the pydantic field was named jpg_quality (jpeg_quality existed only as a compatibility property, absent from model_fields). The value was silently dropped into extra_attrs, and the optimizer always fell back to its own hardcoded default regardless of the flag. The same alias mismatch also affected the Python API: create_options() uses the same model_fields-matching logic as namespace_to_options(), so ocrmypdf.ocr(jpeg_quality=...) was silently dropped too - only the canonical jpg_quality= kwarg worked. Rather than patch around the mismatch, consolidate on a single canonical name: OcrOptions.jpeg_quality (matching the primary --jpeg-quality CLI flag and the already-consistent naming in OptimizeOptions). jpg_quality becomes a deprecated compatibility property, and ocrmypdf.ocr(jpg_quality=) is a deprecated alias that warns and forwards to jpeg_quality via a new create_options() remap step. --jpg-quality remains a working (already hidden) CLI alias with no code-path divergence, since it now shares an argparse dest that matches the field name directly.
430 lines
13 KiB
Python
430 lines
13 KiB
Python
# SPDX-FileCopyrightText: 2022 James R. Barlow
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# SPDX-License-Identifier: MPL-2.0
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from __future__ import annotations
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from io import BytesIO
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from os import fspath
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from pathlib import Path
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from unittest.mock import patch
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import img2pdf
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import pikepdf
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import pytest
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from pikepdf import Array, Dictionary, Name
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from PIL import Image, ImageDraw
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from ocrmypdf import optimize as opt
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from ocrmypdf._exec import jbig2enc, pngquant
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from ocrmypdf._exec.ghostscript import rasterize_pdf
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from ocrmypdf.cli import get_options_and_plugins
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from ocrmypdf.helpers import IMG2PDF_KWARGS, Resolution
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from ocrmypdf.optimize import PdfImage, extract_image_filter
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from ocrmypdf.pluginspec import GhostscriptRasterDevice
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from tests.conftest import check_ocrmypdf
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needs_pngquant = pytest.mark.skipif(
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not pngquant.available(), reason="pngquant not installed"
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)
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needs_jbig2enc = pytest.mark.skipif(
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not jbig2enc.available(), reason="jbig2enc not installed"
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)
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# pylint:disable=redefined-outer-name
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@pytest.fixture(scope="session")
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def palette(resources):
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return resources / 'palette.pdf'
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@needs_pngquant
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@pytest.mark.parametrize('pdf', ['multipage', 'palette'])
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def test_basic(multipage, palette, pdf, outpdf):
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infile = multipage if pdf == 'multipage' else palette
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opt.main(infile, outpdf, level=3)
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assert 0.98 * Path(outpdf).stat().st_size <= Path(infile).stat().st_size
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@needs_pngquant
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def test_mono_not_inverted(resources, outdir):
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infile = resources / '2400dpi.pdf'
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opt.main(infile, outdir / 'out.pdf', level=3)
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rasterize_pdf(
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outdir / 'out.pdf',
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outdir / 'im.png',
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raster_device=GhostscriptRasterDevice.PNGGRAY,
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raster_dpi=Resolution(10, 10),
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)
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with Image.open(fspath(outdir / 'im.png')) as im:
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assert im.getpixel((0, 0)) > 240, "Expected white background"
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@needs_pngquant
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def test_jpg_png_params(resources, outpdf):
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check_ocrmypdf(
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resources / 'crom.png',
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outpdf,
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'--image-dpi',
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'200',
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'--optimize',
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'3',
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'--jpg-quality',
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'50',
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'--png-quality',
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'20',
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'--plugin',
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'tests/plugins/tesseract_noop.py',
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)
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def test_jpeg_quality_cli_flag_reaches_options(resources, outpdf):
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# Regression test for #1723: --jpeg-quality was silently dropped by
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# namespace_to_options() because the argparse dest ('jpeg_quality') did
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# not match the OcrOptions field it was checked against.
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input_ = fspath(resources / 'c02-22.pdf')
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options, _pm = get_options_and_plugins(
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['--jpeg-quality', '10', input_, fspath(outpdf)]
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)
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assert options.jpeg_quality == 10
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def test_jpg_quality_cli_alias_reaches_options(resources, outpdf):
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# --jpg-quality is a hidden alias for --jpeg-quality (same argparse dest).
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input_ = fspath(resources / 'c02-22.pdf')
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options, _pm = get_options_and_plugins(
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['--jpg-quality', '42', input_, fspath(outpdf)]
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)
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assert options.jpeg_quality == 42
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# The old field name is still readable as a deprecated compatibility alias.
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assert options.jpg_quality == 42
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@needs_jbig2enc
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def test_jbig2_lossless(resources, outpdf):
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"""Test that JBIG2 lossless encoding works without JBIG2Globals."""
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args = [
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resources / 'ccitt.pdf',
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outpdf,
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'--image-dpi',
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'200',
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'--optimize',
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'3',
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'--jpg-quality',
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'50',
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'--png-quality',
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'20',
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'--plugin',
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'tests/plugins/tesseract_noop.py',
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'--jbig2-threshold',
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'0.7',
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]
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check_ocrmypdf(*args)
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with pikepdf.open(outpdf) as pdf:
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pim = pikepdf.PdfImage(next(iter(pdf.pages[0].images.values())))
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assert pim.filters[0] == '/JBIG2Decode'
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# Lossless JBIG2 has no JBIG2Globals (no shared symbol dictionary)
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assert len(pim.decode_parms) == 0
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@needs_pngquant
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@needs_jbig2enc
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def test_flate_to_jbig2(resources, outdir):
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# This test requires an image that pngquant is capable of converting to
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# to 1bpp - so use an existing 1bpp image, convert up, confirm it can
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# convert down
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with Image.open(fspath(resources / 'typewriter.png')) as im:
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assert im.mode in ('1', 'P')
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im = im.convert('L')
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im.save(fspath(outdir / 'type8.png'))
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check_ocrmypdf(
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outdir / 'type8.png',
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outdir / 'out.pdf',
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'--image-dpi',
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'100',
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'--png-quality',
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'50',
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'--optimize',
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'3',
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'--plugin',
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'tests/plugins/tesseract_noop.py',
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)
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with pikepdf.open(outdir / 'out.pdf') as pdf:
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pim = pikepdf.PdfImage(next(iter(pdf.pages[0].images.values())))
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assert pim.filters[0] == '/JBIG2Decode'
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@needs_pngquant
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def test_multiple_pngs(resources, outdir):
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with Path.open(outdir / 'in.pdf', 'wb') as inpdf:
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img2pdf.convert(
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fspath(resources / 'baiona_colormapped.png'),
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fspath(resources / 'baiona_gray.png'),
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outputstream=inpdf,
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**IMG2PDF_KWARGS,
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)
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def mockquant(input_file, output_file, *_args):
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with Image.open(input_file) as im:
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draw = ImageDraw.Draw(im)
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draw.rectangle((0, 0, im.width, im.height), fill=128)
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im.save(output_file)
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with patch('ocrmypdf.optimize.pngquant.quantize') as mock:
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mock.side_effect = mockquant
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check_ocrmypdf(
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outdir / 'in.pdf',
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outdir / 'out.pdf',
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'--optimize',
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'3',
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'--jobs',
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'1',
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'--use-threads',
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'--output-type',
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'pdf',
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'--plugin',
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'tests/plugins/tesseract_noop.py',
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)
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mock.assert_called()
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with (
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pikepdf.open(outdir / 'in.pdf') as inpdf,
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pikepdf.open(outdir / 'out.pdf') as outpdf,
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):
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for n in range(len(inpdf.pages)):
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inim = next(iter(inpdf.pages[n].images.values()))
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outim = next(iter(outpdf.pages[n].images.values()))
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assert len(outim.read_raw_bytes()) < len(inim.read_raw_bytes()), n
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def test_optimize_off(resources, outpdf):
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check_ocrmypdf(
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resources / 'trivial.pdf',
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outpdf,
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'--optimize=0',
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'--output-type',
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'pdf',
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'--plugin',
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'tests/plugins/tesseract_noop.py',
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)
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def test_group3(resources):
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with pikepdf.open(resources / 'ccitt.pdf') as pdf:
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im = pdf.pages[0].Resources.XObject['/Im1']
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assert opt.extract_image_filter(im, im.objgen[0]) is not None, (
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"Group 4 should be allowed"
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)
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im.DecodeParms['/K'] = 0
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assert opt.extract_image_filter(im, im.objgen[0]) is None, (
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"Group 3 should be disallowed"
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)
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def test_find_formx(resources):
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with pikepdf.open(resources / 'formxobject.pdf') as pdf:
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working, pagenos = opt._find_image_xrefs(pdf)
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assert len(working) == 1
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xref = next(iter(working))
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assert pagenos[xref] == 0
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def test_find_formx_circular_reference(resources, tmp_path, caplog):
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"""Regression for issue #1321.
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Some PDFs (notably PowerPoint exports) contain Form XObjects that
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reference themselves or each other in a cycle. The recursion guard in
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_find_image_xrefs_container only deduplicates *image* xrefs, so a Form
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XObject cycle would re-enter every branch until the depth limit fired,
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producing thousands of "Recursion depth exceeded" warnings (and minutes
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of wall-clock time on real-world inputs).
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"""
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import logging
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src = resources / 'formxobject.pdf'
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out = tmp_path / 'circular_form.pdf'
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with pikepdf.open(src) as pdf:
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# /Form1 lives at xref 10. Replace its Resources.XObject with three
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# entries that all point back to /Form1 itself, creating a fan-out
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# cycle of branching factor 3.
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form = pdf.pages[0].obj.Resources.XObject.Form1
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form.Resources.XObject = Dictionary({'/Fm0': form, '/Fm1': form, '/Fm2': form})
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pdf.save(out)
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caplog.set_level(logging.WARNING, logger='ocrmypdf.optimize')
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with pikepdf.open(out) as pdf:
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opt._find_image_xrefs(pdf)
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n_warnings = sum(
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1 for r in caplog.records if 'Recursion depth exceeded' in r.getMessage()
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)
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# Without the fix this is in the tens of thousands.
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assert n_warnings == 0, (
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f"Form XObject cycle should be detected without depth-limit warnings; "
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f"got {n_warnings}"
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)
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def test_extract_images_traps_errors_as_warning(resources, tmp_path, caplog):
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"""Regression for issue #846.
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The optimizer is best-effort: any image it cannot process can simply be
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passed through unchanged. When extraction of an image raises (e.g. an
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exotic colorspace pikepdf cannot transcode), the user should see a concise
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warning that the image was left unchanged, not an alarming traceback
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logged at ERROR level.
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"""
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import logging
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from unittest.mock import Mock
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def boom(*, pdf, root, image, xref, options):
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raise NotImplementedError("synthetic extraction failure")
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caplog.set_level(logging.DEBUG, logger='ocrmypdf.optimize')
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with pikepdf.open(resources / 'francais.pdf') as pdf:
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results = list(opt.extract_images(pdf, tmp_path, Mock(), boom))
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# The error is trapped, not propagated, and nothing is extracted.
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assert results == []
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# A friendly warning is emitted...
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assert any(
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r.levelno == logging.WARNING and 'left unchanged' in r.getMessage()
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for r in caplog.records
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)
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# ...and no traceback is logged at ERROR level or above.
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assert not any(r.levelno >= logging.ERROR for r in caplog.records)
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def test_extract_image_filter_with_pdf_image():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 200
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image.Width = 10
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image.Height = 10
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image.Filter = [Name.FlateDecode, Name.DCTDecode]
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pdf_image = PdfImage(image)
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image.BitsPerComponent = 8
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assert extract_image_filter(image, None) == (
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pdf_image,
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pdf_image.filter_decodeparms[1],
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)
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def test_extract_image_filter_with_non_image():
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image = Dictionary()
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image.Subtype = Name.Form
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assert extract_image_filter(image, None) is None
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def test_extract_image_filter_with_small_stream_size():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 50
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assert extract_image_filter(image, None) is None
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def test_extract_image_filter_with_small_dimensions():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 200
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image.Width = 5
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image.Height = 5
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assert extract_image_filter(image, None) is None
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def test_extract_image_filter_with_multiple_compression_filters():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 200
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image.Width = 10
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image.Height = 10
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image.BitsPerComponent = 8
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image.Filter = [Name.ASCII85Decode, Name.FlateDecode, Name.DCTDecode]
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assert extract_image_filter(image, None) is None
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def test_extract_image_filter_with_wide_gamut_image():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 200
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image.Width = 10
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image.Height = 10
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image.BitsPerComponent = 16
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image.Filter = Name.FlateDecode
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assert extract_image_filter(image, None) is None
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def test_extract_image_filter_with_jpeg2000_image():
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im = Image.new('RGB', (10, 10))
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bio = BytesIO()
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im.save(bio, format='JPEG2000')
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pdf = pikepdf.new()
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stream = pdf.make_stream(
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data=bio.getvalue(),
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Subtype=Name.Image,
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Length=200,
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Width=10,
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Height=10,
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BitsPerComponent=8,
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Filter=Name.JPXDecode,
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)
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assert extract_image_filter(stream, None) is None
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def test_extract_image_filter_with_ccitt_group_3_image():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 200
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image.Width = 10
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image.Height = 10
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image.BitsPerComponent = 1
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image.Filter = Name.CCITTFaxDecode
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image.DecodeParms = Array([Dictionary(K=1)])
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assert extract_image_filter(image, None) is None
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# Triggers pikepdf bug
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# def test_extract_image_filter_with_decode_table():
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# image = Dictionary()
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# image.Subtype = Name.Image
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# image.Length = 200
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# image.Width = 10
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# image.Height = 10
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# image.Filter = Name.FlateDecode
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# image.BitsPerComponent = 8
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# image.ColorSpace = Name.DeviceGray
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# image.Decode = [42, 0]
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# assert extract_image_filter(image, None) is None
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def test_extract_image_filter_with_rgb_smask_matte():
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image = Dictionary()
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image.Subtype = Name.Image
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image.Length = 200
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image.Width = 10
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image.Height = 10
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image.Filter = Name.FlateDecode
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image.BitsPerComponent = 8
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image.ColorSpace = Name.DeviceRGB
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image.SMask = Dictionary(
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Type=Name.Image,
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Subtype=Name.Image,
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Length=200,
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Width=10,
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Height=10,
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Filter=Name.FlateDecode,
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BitsPerComponent=8,
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ColorSpace=Name.DeviceGray,
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Matte=Array([1, 2, 3]),
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)
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assert extract_image_filter(image, None) is None
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