mkv-this/mkv_this/mkv_this.py

213 lines
8.8 KiB
Python
Executable File

#! /usr/bin/env python3
import os
import requests
import markovify
import sys
import argparse
"""
mkv-this: input text, output markovified text.
Copyright (C) 2020 mousebot@riseup.net.
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
"""
"""
a (very basic) script to markovify local and/or remote text files and
output a user-specified number of sentences to a local text file.
see --help for other options.
"""
def main():
# argparse for cmd line args
parser = argparse.ArgumentParser(prog="mkv-this", description="markovify a local or remote text file and output the results to local text file.",
epilog="may you find many prophetic énoncés in your virtual bird guts! Here, this is not at all the becomings that are connected... so if you want to edit it like a bot yourself, it is trivial.")
# positional args:
parser.add_argument(
'infile', help="the text file to process, with path. NB: file cannot be empty.")
parser.add_argument('outfile', nargs='?', default="./mkv-output.txt",
help="the file to save to, with path. if the file is used more than once, subsequent literature will be appended to the file after a star. defaults to ./mkv-output.txt.")
# optional args:
parser.add_argument('-s', '--state-size', help="the number of preceeding words used to calculate the probability of the next word. defaults to 2, 1 makes it more random, 3 less so. must be an integer. anything more than 4 will likely have little effect.", type=int, default=2)
parser.add_argument(
'-u', '--URL', help="infile is a URL. NB: for this to work best it should be the location of a text file.", action='store_true')
parser.add_argument(
'-n', '--sentences', help="the number of 'sentences' to output. defaults to 5. must be an integer.", type=int, default=5)
parser.add_argument(
'-l', '--length', help="set maximum number of characters per sentence. must be an integer.", type=int)
parser.add_argument(
'-o', '--overlap', help="the amount of overlap allowed between original text and the output, expressed as a ratio between 0 and 1. defaults to 0.5", type=float, default=0.5)
parser.add_argument(
'-c', '--combine', help="provide an another input text file with path to be combined with the first item.")
parser.add_argument('-C', '--combine-URL',
help="provide an additional URL to be combined with the first item")
parser.add_argument('-w', '--weight', help="specify the weight to be given to the second text provided with --combine. defaults to 1, and the weight of the initial text is also 1. setting this to 1.5 will place 50 percent more weight on the second text, while setting it to 0.5 will place less.", type=float, default=1)
# switches
parser.add_argument('-f', '--no-well-formed', help="don't enforce 'well_formed', ie allow the inclusion of sentences with []{}()""'' in them in the markov model. this might filth up your text, especially if it contains 'smart' quotes.", action='store_false')
# store_false = default to True.
parser.add_argument(
'--newline', help="sentences in input file end with newlines \
rather than with full stops.", action='store_true')
# store_true = default to False, become True if flagged.
args = parser.parse_args()
# some read/build/write fns:
def URL(insert):
try:
req = requests.get(insert)
req.raise_for_status()
except Exception as exc:
print(f'There was a problem: {exc}')
sys.exit()
else:
print('text fetched from URL.')
return req.text
def read(infile):
with open(infile, encoding="latin-1") as f:
return f.read()
def mkbtext(texttype):
return markovify.Text(texttype, state_size=args.state_size,
well_formed=args.no_well_formed)
def mkbnewline(texttype):
return markovify.Text(texttype, state_size=args.state_size,
well_formed=args.no_well_formed)
def writesent(tmodel):
return output.write(str(tmodel.make_sentence(
tries=2000, max_overlap_ratio=args.overlap,
max_chars=args.length)) + '\n\n')
def writeshortsent(tmodel):
return output.write(str(tmodel.make_short_sentence(
tries=2000, max_overlap_ratio=args.overlap,
max_chars=args.length)) + '\n\n')
fnf = 'error: file not found. please provide a path to a really-existing \
file!'
# if a combine file is provided, we will combine it w infile/URL:
if args.combine or args.combine_URL:
if args.combine:
# get raw text as a string for both files:
try:
# infile can be a URL:
if args.URL:
text = URL(args.infile)
# or normal file:
else:
text = read(args.infile)
# read combine file:
ctext = read(args.combine)
except FileNotFoundError:
print(fnf)
sys.exit()
# if combine_URL is provided, we will combine it w infile/URL:
elif args.combine_URL:
try:
# infile can still be a URL:
if args.URL:
text = URL(args.infile)
# or normal file:
else:
text = read(args.infile)
except FileNotFoundError:
print(fnf)
sys.exit()
# now combine_URL:
ctext = URL(args.combine_URL)
# build the models and build a combined model:
# with newline flagged:
if args.newline:
text_model = mkbnewline(text)
ctext_model = mkbnewline(ctext)
else:
text_model = mkbtext(text)
ctext_model = mkbtext(ctext)
combo_model = markovify.combine(
[text_model, ctext_model], [1, args.weight])
# Print -n number of randomly-generated sentences
for i in range(args.sentences):
output = open(args.outfile, 'a') # appending
# short sentence:
if args.length:
writeshortsent(combo_model)
# normal sentence:
else:
writesent(combo_model)
output.write(str('*\n\n'))
# add a star between each appended set.
output.close()
# if no combine, just do normal:
else:
# Get raw text as string.
# either from a URL:
if args.URL:
text = URL(args.infile)
# or local file:
else:
try:
text = read(args.infile)
except FileNotFoundError:
print(fnf)
sys.exit()
# Build the model:
# if --newline:
if args.newline:
text_model = mkbnewline(text)
# no --newline:
else:
text_model = mkbtext(text)
# Print -n number of randomly-generated sentences
for i in range(args.sentences):
output = open(args.outfile, 'a') # append to file
# short sentence:
if args.length:
writeshortsent(text_model)
# normal sentence:
else:
writesent(text_model)
output.write(str('*\n\n'))
# add a star between each appended set.
output.close()
print('\n: The options you used are as follows:\n')
for key, value in vars(args).items():
print(': ' + key.ljust(15, ' ') + ': ' + str(value).ljust(10))
if os.path.isfile(args.outfile):
print('\n: literary genius has been written to the file '
+ args.outfile + '. thanks for playing!\n\n: Here, this is not at all the becomings that are connected... so if you want to edit it like a bot yourself, it is trivial. Yes, although your very smile suggests that this Armenian enclave is not at all the becomings that are connected...')
else:
print('mkv-this ran but did NOT create an output file as requested. this is a very regrettable and dangerous situation. contact the package maintainer asap. soz!')
sys.exit()
# enable for testing:
# main()