After a lot of looking around I found very cumbersome, custom libraries, but solved it with a few lines of code which I thought was pretty slick. I used nbconvert to end up with an html report as output that contains all graphics and markdown from the notebook, but accepts command line parameters just as always through a minimal python wrapper:
The python file test_args.py (which takes command line params as normal):
import sys,os
IPYNB_FILENAME = 'test_argv.ipynb'
CONFIG_FILENAME = '.config_ipynb'
def main(argv):
with open(CONFIG_FILENAME,'w') as f:
f.write(' '.join(argv))
os.system('jupyter nbconvert --execute {:s} --to html'.format(IPYNB_FILENAME))
return None
if __name__ == '__main__':
main(sys.argv)
The notebook contains:
import sys,os,argparse
from IPython.display import HTML
CONFIG_FILE = '.config_ipynb'
if os.path.isfile(CONFIG_FILE):
with open(CONFIG_FILE) as f:
sys.argv = f.read().split()
else:
sys.argv = ['test_args.py', 'input_file', '--int_param', '12']
parser = argparse.ArgumentParser()
parser.add_argument("input_file",help="Input image, directory, or npy.")
parser.add_argument("--int_param", type=int, default=4, help="an optional integer parameter.")
args = parser.parse_args()
p = args.int_param
print(args.input_file,p)
and I can run the python notebook with arguments parsed as usual:
python test_args.py my_input_file --int_param 12
I tend to paste the block with argparse calls into the python wrapper so that command line errors are caught by the python script and -h works properly.
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