from flask import Flask, render_template, send_from_directory, request, jsonify from simple_salesforce import Salesforce from dotenv import load_dotenv import os import requests # Load environment variables from .env file load_dotenv() app = Flask(__name__, template_folder='templates', static_folder='static') # Function to get Salesforce connection def get_salesforce_connection(): try: sf = Salesforce( username=os.getenv('SFDC_USERNAME'), password=os.getenv('SFDC_PASSWORD'), security_token=os.getenv('SFDC_SECURITY_TOKEN'), domain=os.getenv('SFDC_DOMAIN', 'login') ) return sf except Exception as e: print(f"Error connecting to Salesforce: {e}") return None # Initialize Salesforce connection sf = get_salesforce_connection() @app.route('/') def index(): return render_template('index.html') @app.route('/static/') def serve_static(filename): return send_from_directory('static', filename) @app.route('/get_ingredients', methods=['POST']) def get_ingredients(): global sf if not sf: sf = get_salesforce_connection() if not sf: return jsonify({"error": "Failed to connect to Salesforce"}), 500 dietary_preference = request.json.get('dietary_preference', '').lower() # SOQL query based on dietary preference if dietary_preference == 'veg': soql = "SELECT Name, Image_URL__c FROM Sector_Detail__c WHERE Category__c = 'Veg' LIMIT 200" elif dietary_preference == 'non-vegetarian': soql = "SELECT Name, Image_URL__c FROM Sector_Detail__c WHERE Category__c = 'Non-Veg' LIMIT 200" else: soql = "SELECT Name, Image_URL__c FROM Sector_Detail__c LIMIT 200" try: result = sf.query(soql) ingredients = [ {"name": record['Name'], "image_url": record.get('Image_URL__c', '')} for record in result['records'] if 'Name' in record ] return jsonify({"ingredients": ingredients}) except Exception as e: return jsonify({"error": f"Failed to fetch ingredients: {str(e)}"}), 500 # Endpoint to generate South Indian recipes using OpenAI ChatGPT @app.route('/generate_recipes', methods=['POST']) def generate_recipes(): data = request.json selected_ingredients = data.get('ingredients', []) if not selected_ingredients: return jsonify({"error": "No ingredients selected"}), 400 api_key = os.getenv('CHATGPT_API_KEY') if not api_key: return jsonify({"error": "CHATGPT_API_KEY not configured in .env"}), 500 headers = { 'Authorization': f'Bearer {api_key}', 'Content-Type': 'application/json' } ingredients_str = ', '.join(selected_ingredients) prompt = f"Generate 5 authentic South Indian recipes using {ingredients_str}. For each recipe, provide: name, image_url (use placeholder like https://via.placeholder.com/100?text={{name}}), description (a short engaging summary), details (an object with preparation steps and key ingredients as a list). Return the response as a JSON array of recipe objects." payload = { 'model': 'gpt-3.5-turbo', 'messages': [{'role': 'user', 'content': prompt}], 'max_tokens': 500 } try: response = requests.post('https://api.openai.com/v1/chat/completions', headers=headers, json=payload) response.raise_for_status() result = response.json() content = result['choices'][0]['message']['content'] # Parse the ChatGPT response (assuming it returns JSON-like string) import json recipes = json.loads(content) # Adjust parsing based on actual ChatGPT output format return jsonify({"recipes": recipes}) except requests.exceptions.RequestException as e: return jsonify({"error": f"Failed to connect to ChatGPT API: {str(e)}"}), 500 except json.JSONDecodeError as e: return jsonify({"error": f"Failed to parse ChatGPT response: {str(e)}. Raw response: {content}"}), 500 if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=7860)