app.py

 from flask import Flask, request, jsonify
   import requests
   from dotenv import load_dotenv
   import os
   import schedule
   import time
   from threading import Thread

   load_dotenv()  # Load environment variables from .env file

   app = Flask(__name__)

   ZETA_API_KEY = os.getenv('ZETA_API_KEY')
   HELLO_MOON_API_KEY = os.getenv('HELLO_MOON_API_KEY')
   BIRDEYE_API_KEY = os.getenv('BIRDEYE_API_KEY')
   DRIFT_API_KEY = os.getenv('DRIFT_API_KEY')

   def fetch_data():
       # Fetch data from various APIs
       url_jupiter = "https://public.jupiterapi.com/v1/quote"
       params_jupiter = {"inputMint": "So11111111111111111111111111111111111111112", "outputMint": "USDC", "amount": "1000000", "slippage": 1, "onlyDirectRoutes": True}
       response_jupiter = requests.get(url_jupiter, params=params_jupiter)
       data_jupiter = response_jupiter.json()

       url_zeta = "https://api.zeta.markets/price"
       headers_zeta = {"Authorization": f"Bearer {ZETA_API_KEY}"}
       response_zeta = requests.get(url_zeta, headers=headers_zeta)
       data_zeta = response_zeta.json()

       url_hello_moon = "https://api.hellomoon.io/price"
       headers_hello_moon = {"Authorization": f"Bearer {HELLO_MOON_API_KEY}"}
       response_hello_moon = requests.get(url_hello_moon, headers=headers_hello_moon)
       data_hello_moon = response_hello_moon.json()

       url_birdeye = "https://public-api.birdeye.so/price"
       headers_birdeye = {"Authorization": f"Bearer {BIRDEYE_API_KEY}"}
       response_birdeye = requests.get(url_birdeye, headers=headers_birdeye)
       data_birdeye = response_birdeye.json()

       url_drift = "https://api.drift.trade/v1/markets"
       headers_drift = {"Authorization": f"Bearer {DRIFT_API_KEY}"}
       response_drift = requests.get(url_drift, headers=headers_drift)
       data_drift = response_drift.json()

       return {
           "jupiter": data_jupiter,
           "zeta": data_zeta,
           "hello_moon": data_hello_moon,
           "birdeye": data_birdeye,
           "drift": data_drift
       }

   def identify_arbitrage_opportunities(data):
       # Placeholder for arbitrage logic
       # Implement your logic to identify arbitrage opportunities
       # Compare prices from different sources and calculate potential profit
       opportunities = []
       jupiter_prices = data['jupiter']
       zeta_prices = data['zeta']
       hello_moon_prices = data['hello_moon']
       birdeye_prices = data['birdeye']
       drift_prices = data['drift']

       # Example logic to find arbitrage opportunities
       # Assuming all APIs return data in a similar structure for simplicity
       for token in jupiter_prices:
           if token in zeta_prices and token in hello_moon_prices and token in birdeye_prices and token in drift_prices:
               jupiter_price = jupiter_prices[token]['price']
               zeta_price = zeta_prices[token]['price']
               hello_moon_price = hello_moon_prices[token]['price']
               birdeye_price = birdeye_prices[token]['price']
               drift_price = drift_prices[token]['price']

               prices = [jupiter_price, zeta_price, hello_moon_price, birdeye_price, drift_price]
               buy_price = min(prices)
               sell_price = max(prices)

               if sell_price > buy_price:
                   potential_profit = (sell_price - buy_price) * 1  # Assuming 1 token for simplicity
                   opportunities.append({
                       "token": token,
                       "buy_price": buy_price,
                       "sell_price": sell_price,
                       "potential_profit": potential_profit
                   })

       return opportunities

   def execute_trade():
       data = fetch_data()
       opportunities = identify_arbitrage_opportunities(data)
       # If profitable opportunities are found, execute the trades
       for opportunity in opportunities:
           print(f"Executing trade for {opportunity['token']} with potential profit: {opportunity['potential_profit']}")

   @app.route('/api/get_best_route', methods=['GET'])
   def get_best_route():
       input_token = request.args.get('input_token')
       output_token = request.args.get('output_token')
       amount = request.args.get('amount')

       data = fetch_data()
       # Implement logic to find the best route based on fetched data
       best_route = {}  # Placeholder for best route logic

       return jsonify(best_route)

   def run_scheduler():
       schedule.every(10).seconds.do(execute_trade)  # Run every 10 seconds

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

   if __name__ == '__main__':
       thread = Thread(target=run_scheduler)
       thread.start()
       app.run(port=os.getenv('FLASK_RUN_PORT', 5000))