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from argparse import ArgumentParser
from asyncio import create_task, sleep, run
from random import randint, choice
from re import sub

from transformers import AutoTokenizer, AutoModelForCausalLM


parser = ArgumentParser()
parser.add_argument('-n', '--input', help='initial input text')
parser.add_argument('-b', '--backend', choices=['mastodon', 'misskey', 'matrix'],
                    action='append', help='fediverse server type')
parser.add_argument('-i', '--instance', action='append',
                    help='Mastodon instance hosting the bot')
parser.add_argument('-t', '--token', action='append',
                    help='Mastodon application access token')
parser.add_argument('-d', '--data', default='data',
                    help='data for automatic input generation')
parser.add_argument('-m', '--model', default='model',
                    help='path to load saved model')
parser.add_argument('-y', '--yes', action='store_true',
                    help='answer yes to all prompts')
args = parser.parse_args()


tokenizer = AutoTokenizer.from_pretrained('gpt2-large')
model = AutoModelForCausalLM.from_pretrained(args.model).to('cuda')


def generate_input():
    # Create random input
    if randint(0, 1) == 0:
        return choice([
            'I am',
            'My life is',
            'Computers are',
            'This is',
            'My',
            'I\'ve',
            'No one',
            'I love',
            'I will die of',
            'I',
            'The',
            'Anime',
            'I\'m going to die',
            'Hello',
            '@ta180m@exozy.me',
            'Life',
            'My favorite',
            'I\'m not',
            'I hate',
            'I think',
            'In my opinion',
            'Breaking news:',
            'Have I ever told you that',
            'I read on the news that',
            'I never knew that',
            'My dream is',
            'It\'s terrible that',
            'My new theory:',
            'My conspiracy theory',
            'The worst thing'
        ])
    else:
        with open(args.data, 'r') as f:
            # Get a line with at least two words
            lines = f.readlines()
            line = choice(lines).split()
            while len(line) < 2:
                line = choice(lines).split()
            
            return line[0] + ' ' + line[1]


if args.input is None:
    args.input = generate_input()


# Loop until we're satisfied
while True:
    # Run the input through the model
    print(args.input)
    inputs = tokenizer.encode(args.input, return_tensors='pt').to('cuda')
    output = tokenizer.decode(model.generate(
        inputs, max_length=150, do_sample=True, top_p=0.9)[0])
    print(output)


    # Prepare the post
    output = output.split('\n')
    post = output[0]
    if len(post) < 200 and len(output) > 1:
        post = output[0] + '\n' + output[1]
    post = post[:500]
    # Remove mentions
    post = sub('(@[^ ]*)@[^ ]*', '\\1', post)


    if args.yes:
        break

    # Prompt the user
    res = input('Post/Retry/New input/Custom input/Quit: ')
    if res not in 'prnPRNcC':
        quit()
    if res in 'pP':
        break
    if res in 'nN':
        args.input = generate_input()
    if res in 'cC':
        args.input = input('Enter custom input: ')


# Post it!
for backend, instance, token in zip(args.backend, args.instance, args.token):
    if backend == 'mastodon':
        from mastodon import Mastodon

        mastodon = Mastodon(
            access_token=token,
            api_base_url=instance
        )
        mastodon.status_post(post)

    elif backend == 'misskey':
        from Misskey import Misskey

        misskey = Misskey(instance, i=token)
        misskey.notes_create(post)

    elif backend == 'matrix':
        import simplematrixbotlib as botlib

        creds = botlib.Creds(instance, 'ebooks', token)
        bot = botlib.Bot(creds)

        @bot.listener.on_startup
        async def room_joined(room_id):
            await bot.api.send_text_message(room_id=room_id, message=post)

        async def wait_quit():
            await sleep(5)
            quit()
        
        async def run_bot():
            run = create_task(bot.main())
            wait = create_task(wait_quit())

            await run
            await wait
        
        run(run_bot())