Files
OCRmyPDF/src/ocrmypdf/builtin_plugins/optimize.py
T

166 lines
5.0 KiB
Python

# SPDX-FileCopyrightText: 2022 James R. Barlow
# SPDX-License-Identifier: MPL-2.0
"""Built-in plugin to implement PDF page optimization."""
from __future__ import annotations
import argparse
import logging
from collections.abc import Sequence
from pathlib import Path
from ocrmypdf import Executor, PdfContext, hookimpl
from ocrmypdf._exec import jbig2enc, pngquant
from ocrmypdf._pipeline import get_pdf_save_settings
from ocrmypdf.cli import numeric
from ocrmypdf.optimize import optimize
from ocrmypdf.subprocess import check_external_program
log = logging.getLogger(__name__)
@hookimpl
def add_options(parser):
optimizing = parser.add_argument_group(
"Optimization options", "Control how the PDF is optimized after OCR"
)
optimizing.add_argument(
'-O',
'--optimize',
type=int,
choices=range(0, 4),
default=1,
help=(
"Control how PDF is optimized after processing:"
"0 - do not optimize; "
"1 - do safe, lossless optimizations (default); "
"2 - do lossy JPEG and JPEG2000 optimizations; "
"3 - do more aggressive lossy JPEG and JPEG2000 optimizations. "
"To enable lossy JBIG2, see --jbig2-lossy."
),
)
optimizing.add_argument(
'--jpeg-quality',
type=numeric(int, 0, 100),
default=0,
metavar='Q',
help=(
"Adjust JPEG quality level for JPEG optimization. "
"100 is best quality and largest output size; "
"1 is lowest quality and smallest output; "
"0 uses the default."
),
)
optimizing.add_argument(
'--jpg-quality',
type=numeric(int, 0, 100),
default=0,
metavar='Q',
dest='jpeg_quality',
help=argparse.SUPPRESS, # Alias for --jpeg-quality
)
optimizing.add_argument(
'--png-quality',
type=numeric(int, 0, 100),
default=0,
metavar='Q',
help=(
"Adjust PNG quality level to use when quantizing PNGs. "
"Values have same meaning as with --jpeg-quality"
),
)
optimizing.add_argument(
'--jbig2-lossy',
action='store_true',
help=(
"Enable JBIG2 lossy mode (better compression, not suitable for some "
"use cases - see documentation). Only takes effect if --optimize 1 or "
"higher is also enabled."
),
)
optimizing.add_argument(
'--jbig2-page-group-size',
type=numeric(int, 1, 10000),
default=0,
metavar='N',
# Adjust number of pages to consider at once for JBIG2 compression
help=argparse.SUPPRESS,
)
optimizing.add_argument(
'--jbig2-threshold',
type=numeric(float, 0.4, 0.9),
default=0.85,
metavar='T',
help=(
"Adjust JBIG2 symbol code classification threshold "
"(default 0.85), range 0.4 to 0.9."
),
)
@hookimpl
def check_options(options):
if options.optimize >= 2:
check_external_program(
program='pngquant',
package='pngquant',
version_checker=pngquant.version,
need_version='2.12.2',
required_for='--optimize {2,3}',
)
if options.optimize >= 2:
# Although we use JBIG2 for optimize=1, don't nag about it unless the
# user is asking for more optimization
check_external_program(
program='jbig2',
package='jbig2enc',
version_checker=jbig2enc.version,
need_version='0.28',
required_for='--optimize {2,3} | --jbig2-lossy',
recommended=True if not options.jbig2_lossy else False,
)
if options.optimize == 0 and any(
[options.jbig2_lossy, options.png_quality, options.jpeg_quality]
):
log.warning(
"The arguments --jbig2-lossy, --png-quality, and --jpeg-quality "
"will be ignored because --optimize=0."
)
@hookimpl
def optimize_pdf(
input_pdf: Path,
output_pdf: Path,
context: PdfContext,
executor: Executor,
linearize: bool,
) -> tuple[Path, Sequence[str]]:
save_settings = dict(
linearize=linearize,
**get_pdf_save_settings(context.options.output_type),
)
result_path = optimize(input_pdf, output_pdf, context, save_settings, executor)
messages = []
if context.options.optimize == 0:
messages.append("Optimization was disabled.")
else:
image_optimizers = {
'jbig2': jbig2enc.available(),
'pngquant': pngquant.available(),
}
for name, available in image_optimizers.items():
if not available:
messages.append(
f"The optional dependency '{name}' was not found, so some image "
f"optimizations could not be attempted."
)
return result_path, messages
@hookimpl
def is_optimization_enabled(context: PdfContext) -> bool:
return context.options.optimize != 0