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
import openai

openai.api_key = "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"

# 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/<path:filename>')
def serve_static(filename):
    return send_from_directory('static', filename)

@app.route('/get_ingredients', methods=['POST'])
def get_ingredients():
    dietary_preference = request.json.get('dietary_preference', '').strip().lower()

    # Debugging: print the received dietary preference
    print(f"Received dietary preference: {dietary_preference}")

    if dietary_preference == 'veg':
        print("Fetching ingredients for Vegetarian...")  # Debug when fetching vegetarian ingredients
        soql = "SELECT Name, Image_URL__c FROM Sector_Detail__c WHERE Category__c IN ('Veg') LIMIT 200"
    elif dietary_preference == 'non-vegetarian':
        print("Fetching ingredients for Non-Vegetarian...")  # Debug when fetching non-vegetarian ingredients
        soql = "SELECT Name, Image_URL__c FROM Sector_Detail__c WHERE Category__c IN ('Non-Veg') LIMIT 200"

    else:
        print("Invalid dietary preference received.")  # Debug for invalid dietary preference
        return jsonify({"error": "Invalid dietary preference."}), 400

    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
        ]
        print(f"Fetched {len(ingredients)} ingredients.")  # Debug: print how many ingredients were fetched
        return jsonify({"ingredients": ingredients})
    except Exception as e:
        print(f"Error while fetching ingredients: {str(e)}")  # Debug error
        return jsonify({"error": f"Failed to fetch ingredients: {str(e)}"}), 500
@app.route('/submit_ingredients', methods=['POST'])
def submit_ingredients():
    data = request.json
    ingredients = data.get('ingredients', [])
    
    if not ingredients:
        return jsonify({'error': 'No ingredients selected'}), 400
    
    # You can now process the selected ingredients, store them in a database, etc.
    print(f"Ingredients submitted: {ingredients}")

    return jsonify({'success': True})

import logging

# Add this to the beginning of your Flask app file
logging.basicConfig(level=logging.DEBUG)  # Enable debug-level logging



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

    ingredients_text = ', '.join([ingredient['name'] for ingredient in selected_ingredients])
    prompt = f"Suggest a recipe based on the following ingredients: {ingredients_text}"

    try:
        # Use the correct API structure for openai>=1.0.0
        response = openai.Completion.create(
            model="gpt-3.5-turbo",
            prompt=prompt,
            max_tokens=150,
            temperature=0.7
        )
        dish_suggestions = response['choices'][0]['text'].strip()
        return jsonify({"suggestions": dish_suggestions})

    except Exception as e:
        logging.error(f"Error in /get_dish_suggestions: {e}")
        return jsonify({"error": f"Unexpected error: {str(e)}"}), 500


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