dogebot.py

import os
import re
import datetime
import schedule
import time
from dotenv import load_dotenv
from binance import Client
import tweepy

# Functions
from analyse_tweet import analyse_tweet

load_dotenv()

# Api Keys
binance_api_key = os.getenv('BINANCE_API')
binance_api_secret = os.getenv('BINANCE_SECRET')
twitter_api_key = os.getenv('CONSUMER_KEY')
twitter_api_secret = os.getenv('CONSUMER_SECRET')
twitter_api_token = os.getenv('ACCESS_TOKEN')
twitter_api_secret_token = os.getenv('ACCESS_TOKEN_SECRET')

# Binance API
client = Client(binance_api_key, binance_api_secret)

# Twitter API
auth = tweepy.OAuthHandler(twitter_api_key, twitter_api_secret)
auth.set_access_token(twitter_api_token, twitter_api_secret_token)
twitter_api = tweepy.API(auth, wait_on_rate_limit=True)

# #
#  Check for new tweets
# #


def checkForNewTweet(twitter_api):
    print('🟢 Checking tweets..' + '\n')

    # Elon musk most recent tweet
    tweets = twitter_api.user_timeline(
        screen_name="elonmusk",
        count=1,
        lang="en",
        tweet_mode="extended",
        include_rts=False,
    )
    if tweets:
        # Tweet text
        tweet = tweets[0].full_text
        print('Current tweet :', datetime.datetime.now(), tweet)

        # Parse Tweet
        no_punct = re.sub(r'[\W\s]', ' ', tweet)
        tweet = no_punct

        # Get the minute since tweet
        time_difference = datetime.datetime.now().minute - \
            tweets[0].created_at.minute

        # If tweet is less than 3 min old, analyse and buy
        if time_difference <= 3 or time_difference == 0:
            analyse_tweet(tweet, client)
        else:
            return
    else:
        return


if __name__ == "__main__":
    checkForNewTweet(twitter_api)
    schedule.every(60).seconds.do(checkForNewTweet, twitter_api)

    while 1:
        schedule.run_pending()
        time.sleep(1)