app.py

from flask import Flask, render_template, send_from_directory, request, jsonify
from simple_salesforce import Salesforce
from dotenv import load_dotenv
import os
from openai import OpenAI

# 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()

# Initialize OpenAI client
openai_client = OpenAI(api_key=os.getenv('OPENAI_API_KEY'))

@app.route('/')
def index():
    return render_template('index.html')

@app.route('/static/<path:filename>')
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 with corrected field name 'Name'
    if dietary_preference == 'veg':
        soql = "SELECT Name FROM Sector_Detail__c WHERE Category__c IN ('Veg', 'Both') LIMIT 200"
    elif dietary_preference == 'non-vegetarian':
        soql = "SELECT Name FROM Sector_Detail__c WHERE Category__c IN ('Non-Veg', 'Both') LIMIT 200"
    else:
        soql = "SELECT Name FROM Sector_Detail__c LIMIT 200"

    try:
        result = sf.query(soql)
        ingredients = [record['Name'] 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

@app.route('/get_food_suggestions', methods=['POST'])
def get_food_suggestions():
    selected_ingredients = request.json.get('ingredients', [])
    if not selected_ingredients:
        return jsonify({"error": "No ingredients selected"}), 400

    prompt = f"Suggest some food items using the following ingredients: {', '.join(selected_ingredients)}. Provide a list of 3-5 recipe ideas."
    
    try:
        response = openai_client.chat.completions.create(
            model="gpt-3.5-turbo",  # or "gpt-4" if you have access
            messages=[
                {"role": "system", "content": "You are a helpful chef assistant."},
                {"role": "user", "content": prompt}
            ],
            max_tokens=150
        )
        suggestions = response.choices[0].message.content.strip().split('\n')
        return jsonify({"suggestions": suggestions})
    except Exception as e:
        return jsonify({"error": f"Failed to get food suggestions: {str(e)}"}), 500

if __name__ == '__main__':
    app.run(debug=True, host='0.0.0.0', port=7860)