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app.py
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app.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
__version__ = '1.0.0'
DISPLAY_TITLE = r"""
ChRIS Plugin Template Title
"""
parser = ArgumentParser(description='!!!CHANGE ME!!! An example ChRIS plugin which '
'counts the number of occurrences of a given '
'word in text files.',
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument('-w', '--word', required=True, type=str,
help='word to count')
parser.add_argument('-p', '--pattern', default='**/*.txt', type=str,
help='input file filter glob')
parser.add_argument('-V', '--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='My ChRIS plugin',
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='.count.txt')
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.
data = input_file.read_text()
frequency = data.count(options.word)
output_file.write_text(str(frequency))
if __name__ == '__main__':
main()