# coding=utf-8
"""Command line ui for ndjsontosvg"""
import argparse
from ndjsontosvg import __version__
from ndjsontosvg.ndjsontosvg import ndjsontosvg
[docs]def main(args=None):
"""Entry point for ndjsonTosvg application"""
parser = argparse.ArgumentParser(description='ndjsonTosvg')
## ADD POSITIONAL ARGUMENTS
parser.add_argument('--filein', '-i',
required=True,
type=str,
help="the input file (ndjson format)")
parser.add_argument("-n", "--numberofsamples",
required=True,
type=int,
help="The number of samples to write out.")
# ADD OPTINAL ARGUMENTS
parser.add_argument("-s", "--outsize",
default=256,
type=int,
help="The desired out put size (pixels)")
parser.add_argument("-lc", "--linecolour",
default="black",
help="The line colour to use."
)
parser.add_argument("-bc", "--backgroundcolour",
default="white",
help="The background colour to use. A value of " + \
" 'none' will remove the background."
)
parser.add_argument("-o", "--outdir",
default="./",
help="The output directory."
)
parser.add_argument("-ci", "--checkifidentified",
action="store_true",
help="Only select entries that were recognized by" + \
" google AI",
)
parser.add_argument("-rs", "--randomsort",
action="store_true",
help="Make a random selection, rather than the " + \
"first n lines",
)
parser.add_argument("-is", "--inputsize",
default=256,
help="The input image size, 256 pixels for the " +\
"simplified quickdraw data set"
)
version_string = __version__
friendly_version_string = version_string if version_string else 'unknown'
parser.add_argument(
"--version",
action='version',
version='ndjsonTosvg version ' + friendly_version_string)
args = parser.parse_args(args)
ndjsontosvg(args.filein, args.numberofsamples, args.outsize,
args.linecolour,
args.backgroundcolour, args.outdir, args.checkifidentified,
args.randomsort, args.inputsize)