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bulky.py
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#!/usr/bin/env python
from pathlib import Path
from argparse import ArgumentParser, Namespace, ArgumentDefaultsHelpFormatter
from chris_plugin import chris_plugin, PathMapper
import shutil
__version__ = "1.0.0"
DISPLAY_TITLE = r"""
_ _ _
| | | | |
| |__ _ _| | | ___ __ _ __ ___ ___ ___ ___ ___
| '_ \| | | | | |/ / '_ \| '__/ _ \ / __/ _ \/ __/ __|
| |_) | |_| | | <| |_) | | | (_) | (_| __/\__ \__ \
|_.__/ \__,_|_|_|\_\ .__/|_| \___/ \___\___||___/___/
| |
|_|
"""
parser = ArgumentParser(
description="""
A dummy bulk processor. Move along. Not much to see here.
""",
formatter_class=ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--pattern", default="**/*.dcm", type=str, help="input file filter glob"
)
parser.add_argument("--version", action="version", version=f"%(prog)s {__version__}")
# The main function of this *ChRIS* plugin is denoted by this ``@chris_plugin`` "decorator."
# Some metadata about the plugin is specified here. There is more metadata specified in setup.py.
#
# documentation: https://fnndsc.github.io/chris_plugin/chris_plugin.html#chris_plugin
@chris_plugin(
parser=parser,
title="A bulk processor",
category="", # ref. https://chrisstore.co/plugins
min_memory_limit="100Mi", # supported units: Mi, Gi
min_cpu_limit="1000m", # millicores, e.g. "1000m" = 1 CPU core
min_gpu_limit=0, # set min_gpu_limit=1 to enable GPU
)
def main(options: Namespace, inputdir: Path, outputdir: Path):
"""
*ChRIS* plugins usually have two positional arguments: an **input directory** containing
input files and an **output directory** where to write output files. Command-line arguments
are passed to this main method implicitly when ``main()`` is called below without parameters.
:param options: non-positional arguments parsed by the parser given to @chris_plugin
:param inputdir: directory containing (read-only) input files
:param outputdir: directory where to write output files
"""
print(DISPLAY_TITLE)
# Typically it's easier to think of programs as operating on individual files
# rather than directories. The helper functions provided by a ``PathMapper``
# object make it easy to discover input files and write to output files inside
# the given paths.
#
# Refer to the documentation for more options, examples, and advanced uses e.g.
# adding a progress bar and parallelism.
mapper = PathMapper.file_mapper(
inputdir, outputdir, glob=options.pattern, suffix=".bak.dcm"
)
for input_file, output_file in mapper:
# The code block below is a small and easy example of how to use a ``PathMapper``.
# It is recommended that you put your functionality in a helper function, so that
# it is more legible and can be unit tested.
print(f"copying {input_file} to {output_file}")
shutil.copy(input_file, output_file)
if __name__ == "__main__":
main()