from flask import Flask, request, jsonify app = Flask(__name__) # Define your database connection and queries here @app.route('/query', methods=['POST']) def query_database(): # Extract data from Botpress request user_data = request.json # Process user_data and perform database operations # Example: # result = perform_database_operation(user_data) # Return response to Botpress return jsonify({"response": "Data fetched from database successfully"}), 200 if __name__ == '__main__': app.run(debug=True) # Run the Flask app

1. Expose Your Flask API Publicly: Deploy your Flask application to a public server accessible over the internet. You can use platforms like Heroku, AWS, or Google Cloud Platform for this purpose. Ensure that your Flask API is accessible via an endpoint URL. 2. Integrate Flask API with Botpress: In your Botpress bot, utilize the user variable to store user data. Use the Execute Code node to make HTTP requests to your Flask API endpoint and retrieve data from the database.

Example Execute Code node in Botpress:

// Assuming user data is stored in the variable

userData

const userData = /* Obtain user data here */; // Make a POST request to your Flask API endpoint axios.post('YOUR_API_ENDPOINT_URL', userData) .then(response => { console.log(response.data); // Log the response from the API // Further processing of API response or user data }) .catch(error => { console.error('Error fetching data from database:', error); });

Replace 'YOUR_API_ENDPOINT_URL' with the actual URL of your Flask API endpoint. By following these steps, you should be able to connect your Botpress bot to a SQL Server or a local database via a Flask API. Make sure to handle database connections securely and sanitize user input to prevent any security vulnerabilities.