58 lines
2.4 KiB
Python
58 lines
2.4 KiB
Python
import markovify
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import argparse
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import itertools
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import twitter
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def parser():
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parser = argparse.ArgumentParser(description='Process some integers.')
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parser.add_argument('--config', dest='filepath', metavar='CREDENTIALS', type=str, help='Path to config file')
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parser.add_argument('text', metavar='CORPUS', type=str, help='path to the text you wish to mimic') # filepath should be a flag; corpus an argument!
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parser.add_argument('--coke-binge', dest='coke_binge', action="store_true", default=False, help='Tweet excessively/emulate our POTUS') # instead of tweeting once, tweet a random number of times.
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parser.add_argument('-t', dest='test', action="store_true", default=False, help='Test text generation without tweeting.') # distance on markov chains?? distance on syntax trees?
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return parser.parse_args()
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def build_model(text):
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# Get raw text of markov chain as string.
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with open(text) as f:
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text = f.read()
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# Build the model.
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return markovify.Text(text)
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def make_tweets(api, test, model, coke_binge_num):
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# Generate three randomly-generated sentences of no more than 140 characters and tweet them.
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selected = False
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for i in range(0, coke_binge_num):
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while selected is False:
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str_potentially = model.make_short_sentence(140)
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if not("http" in str_potentially):
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if not(test):
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# tweet the generated text
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status = api.PostUpdate(str_potentially)
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print(status.text) # verify it worked
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else:
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# test mode; just display it
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print(str_potentially)
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selected = True
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selected = False
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# Function to help process credentials file
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def drop_tag(str):
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parsed = itertools.dropwhile(lambda x: x!= ':', str)
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str2 = "".join(parsed)
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parsed2 = itertools.dropwhile(lambda x: x == ' ' or x == ':', str2)
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return "".join(parsed2)
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# Process api keys etc.
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def make_api_keys(filepath):
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# Open file with credentials
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with open(filepath) as f:
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content = f.readlines()
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# Strip irrelevant text
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content = [drop_tag(x.strip()) for x in content]
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# create twitter api object
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return twitter.Api(consumer_key=content[0],
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consumer_secret=content[1],
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access_token_key=content[2],
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access_token_secret=content[3])
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