You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
158 lines
4.9 KiB
158 lines
4.9 KiB
8 years ago
|
#!/usr/bin/env python3
|
||
|
|
||
|
"""
|
||
|
csvtomd 0.2.1
|
||
|
|
||
|
Convert your CSV files into Markdown tables.
|
||
|
|
||
|
More info: http://github.com/mplewis/csvtomd
|
||
|
"""
|
||
|
|
||
|
import argparse
|
||
|
import csv
|
||
|
import sys
|
||
|
|
||
|
|
||
|
def check_negative(value):
|
||
|
try:
|
||
|
ivalue = int(value)
|
||
|
except ValueError:
|
||
|
raise argparse.ArgumentTypeError(
|
||
|
'"%s" must be an integer' % value)
|
||
|
if ivalue < 0:
|
||
|
raise argparse.ArgumentTypeError(
|
||
|
'"%s" must not be a negative value' % value)
|
||
|
return ivalue
|
||
|
|
||
|
|
||
|
def pad_to(unpadded, target_len):
|
||
|
"""
|
||
|
Pad a string to the target length in characters, or return the original
|
||
|
string if it's longer than the target length.
|
||
|
"""
|
||
|
under = target_len - len(unpadded)
|
||
|
if under <= 0:
|
||
|
return unpadded
|
||
|
return unpadded + (' ' * under)
|
||
|
|
||
|
|
||
|
def normalize_cols(table):
|
||
|
"""
|
||
|
Pad short rows to the length of the longest row to help render "jagged"
|
||
|
CSV files
|
||
|
"""
|
||
|
longest_row_len = max([len(row) for row in table])
|
||
|
for row in table:
|
||
|
while len(row) < longest_row_len:
|
||
|
row.append('')
|
||
|
return table
|
||
|
|
||
|
|
||
|
def pad_cells(table):
|
||
|
"""Pad each cell to the size of the largest cell in its column."""
|
||
|
col_sizes = [max(map(len, col)) for col in zip(*table)]
|
||
|
for row in table:
|
||
|
for cell_num, cell in enumerate(row):
|
||
|
row[cell_num] = pad_to(cell, col_sizes[cell_num])
|
||
|
return table
|
||
|
|
||
|
|
||
|
def horiz_div(col_widths, horiz, vert, padding):
|
||
|
"""
|
||
|
Create the column dividers for a table with given column widths.
|
||
|
|
||
|
col_widths: list of column widths
|
||
|
horiz: the character to use for a horizontal divider
|
||
|
vert: the character to use for a vertical divider
|
||
|
padding: amount of padding to add to each side of a column
|
||
|
"""
|
||
|
horizs = [horiz * w for w in col_widths]
|
||
|
div = ''.join([padding * horiz, vert, padding * horiz])
|
||
|
return div.join(horizs)
|
||
|
|
||
|
|
||
|
def add_dividers(row, divider, padding):
|
||
|
"""Add dividers and padding to a row of cells and return a string."""
|
||
|
div = ''.join([padding * ' ', divider, padding * ' '])
|
||
|
return div.join(row)
|
||
|
|
||
|
|
||
|
def md_table(table, *, padding=1, divider='|', header_div='-'):
|
||
|
"""
|
||
|
Convert a 2D array of items into a Markdown table.
|
||
|
|
||
|
padding: the number of padding spaces on either side of each divider
|
||
|
divider: the vertical divider to place between columns
|
||
|
header_div: the horizontal divider to place between the header row and
|
||
|
body cells
|
||
|
"""
|
||
|
table = normalize_cols(table)
|
||
|
table = pad_cells(table)
|
||
|
header = table[0]
|
||
|
body = table[1:]
|
||
|
|
||
|
col_widths = [len(cell) for cell in header]
|
||
|
horiz = horiz_div(col_widths, header_div, divider, padding)
|
||
|
|
||
|
header = add_dividers(header, divider, padding)
|
||
|
body = [add_dividers(row, divider, padding) for row in body]
|
||
|
|
||
|
table = [header, horiz]
|
||
|
table.extend(body)
|
||
|
table = [row.rstrip() for row in table]
|
||
|
return '\n'.join(table)
|
||
|
|
||
|
|
||
|
def csv_to_table(file, delimiter):
|
||
|
return list(csv.reader(file, delimiter=delimiter))
|
||
|
|
||
|
|
||
|
def main():
|
||
|
parser = argparse.ArgumentParser(
|
||
|
description='Read one or more CSV files and output their contents in '
|
||
|
'the form of Markdown tables.')
|
||
|
parser.add_argument('files', metavar='csv_file', type=str, nargs='*',
|
||
|
default=['-'],
|
||
|
help="One or more CSV files to be converted. "
|
||
|
"Use - for stdin.")
|
||
|
parser.add_argument('-n', '--no-filenames', action='store_false',
|
||
|
dest='show_filenames',
|
||
|
help="Don't display filenames when outputting "
|
||
|
"multiple Markdown tables.")
|
||
|
parser.add_argument('-p', '--padding', type=check_negative, default=2,
|
||
|
help="The number of spaces to add between table cells "
|
||
|
"and column dividers. Default is 2 spaces.")
|
||
|
parser.add_argument('-d', '--delimiter', default=',',
|
||
|
help='The delimiter to use when parsing CSV data. '
|
||
|
'Default is "%(default)s"')
|
||
|
|
||
|
args = parser.parse_args()
|
||
|
first = True
|
||
|
|
||
|
if '-' in args.files and len(args.files) > 1:
|
||
|
print('Standard input can only be used alone.', file=sys.stderr)
|
||
|
exit(1)
|
||
|
for file_num, filename in enumerate(args.files):
|
||
|
# Print space between consecutive tables
|
||
|
if not first:
|
||
|
print('')
|
||
|
else:
|
||
|
first = False
|
||
|
# Read the CSV files
|
||
|
if filename == '-':
|
||
|
table = csv_to_table(sys.stdin, args.delimiter)
|
||
|
else:
|
||
|
with open(filename, 'rU') as f:
|
||
|
table = csv_to_table(f, args.delimiter)
|
||
|
# Print filename for each table if --no-filenames wasn't passed and
|
||
|
# more than one CSV was provided
|
||
|
file_count = len(args.files)
|
||
|
if args.show_filenames and file_count > 1:
|
||
|
print(filename + '\n')
|
||
|
# Generate and print Markdown table
|
||
|
print(md_table(table, padding=args.padding))
|
||
|
|
||
|
|
||
|
if __name__ == '__main__':
|
||
|
main()
|