fran_code

# download neuralintents and from nltk | corpora omw-1.4
import discord
import random
import datetime
from neuralintents import GenericAssistant
import nltk

# Global variables
client = discord.Client()
start_time = datetime.datetime.utcnow()

#ChatAI setup (not implemented yet)
#chatAI = GenericAssistant('intents.json')
#chatAI.train_model()
#chatAI.save_model()

@client.event
async def on_ready():
    print('Now logged in as {0.user}'.format(client))

@client.event
async def on_message(message):
    global start_time
    response_time = datetime.datetime.utcnow()
    if message.author == client.user:
        return
    
    # this is the one which utilises GenericAssistant, so it won't be applicable until later.
    # if message.content.startswith('qFran: '):
        # response = chatAI.request(message.content[7:])
        # await message.channel.send(response)

    if message.content == 'Fran Test':
        now = datetime.datetime.utcnow()
        await message.channel.send('All systems nominal.')
        await message.channel.send(now - response_time)

    if message.content == 'dmFran':
        await message.author.send("This is the start of a direct message conversation.")

    if message.content == 'rNumber':
        rnumber = random.randint(1, 101)
        await message.channel.send(rnumber)

    if message.content == 'programRuntime':
        current_time = datetime.datetime.utcnow()
        program_runtime = current_time - start_time
        await message.channel.send("Fran has been active for: ")
        await message.channel.send(program_runtime)