#!python
import markovify
import markovbot
import twitter
import itertools
import random

# Command line parser

args = parser()

# Set the coke binge parameter
if args.coke_binge:
    coke_binge_num = random.randint(1, 6)
else:
    coke_binge_num = 1

# Get raw text of markov chain as string.
with open(args.text) as f:
    text = f.read()

# Build the model.
text_model = markovify.Text(text)

api = make_api_keys(args.filepath)

# Generate three randomly-generated sentences of no more than 140 characters and tweet them.
selected = False
for i in range(0, coke_binge_num):
    while selected is False:
        str_potentially = text_model.make_short_sentence(140)
        if not("http" in str_potentially):
            if not(args.test):
                # tweet the generated text
                status = api.PostUpdate(str_potentially)
                print(status.text)  # verify it worked
            else:
                # test mode; just display it
                print(str_potentially)
            selected = True
    selected = False