app.py

from flask import Flask, render_template, request, jsonify
from simple_salesforce import Salesforce
from dotenv import load_dotenv
import os
import logging
import uuid
from datetime import datetime
from openai import OpenAI

# Load environment variables
load_dotenv()

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

app = Flask(__name__, template_folder='templates', static_folder='static')

# Salesforce connection function
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')
        )
        logger.info("Successfully connected to Salesforce")
        return sf
    except Exception as e:
        logger.error(f"Error connecting to Salesforce: {e}")
        return None

# Initialize Salesforce connection
sf = get_salesforce_connection()

# Initialize OpenAI client with your API key
openai_api_key = os.getenv('OPENAI_API_KEY', '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')
if not openai_api_key:
    logger.error("OPENAI_API_KEY not found in .env. ChatGPT functionality disabled.")
    client = None
else:
    try:
        client = OpenAI(api_key=openai_api_key)
        test_response = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[{"role": "user", "content": "Test API key"}]
        )
        logger.info("OpenAI API key validated successfully")
    except Exception as e:
        logger.error(f"Invalid OpenAI API key or connection issue: {e}")
        client = None

# Conversation storage
conversation_sessions = {}

def is_restaurant_related(query):
    keywords = ['use', 'uses', 'dish', 'recipe', 'ingredient', 'food', 'menu', 'vegetarian', 'non-vegetarian',
                'rice', 'chicken', 'pasta', 'veggie', 'mutton', 'lamb', 'beef', 'pork', 'fish', 'seafood',
                'ingredients', 'nutrition', 'nutritional', 'info', 'message', 'messages']
    return bool(query.strip() and any(keyword in query.lower() for keyword in keywords)) or any(item in query.lower() for item in ['mutton', 'rice', 'chicken'])

def get_chatgpt_response(prompt, session_id):
    if not client:
        logger.warning("No OpenAI client available, using mock ChatGPT response")
        # Mock ChatGPT response as fallback
        if any(item in prompt.lower() for item in ['mutton', 'rice', 'chicken']):
            return f"{prompt.capitalize()} is great for curries or roasts in a restaurant!"
        return "I can help with food! Try 'uses of mutton' or 'ingredients for rice'."

    if session_id not in conversation_sessions:
        conversation_sessions[session_id] = [
            {"role": "system", "content": "You are a restaurant culinary assistant. Respond only to queries about ingredients, dishes, or recipes. Provide concise, friendly answers. For unclear queries, suggest: 'Try 'uses of mutton' or 'ingredients for rice'.'"}
        ]

    prompt = prompt.strip().lower()
    logger.info(f"Processing prompt: {prompt}")
    if not is_restaurant_related(prompt):
        logger.info(f"Off-topic or empty query: {prompt}")
        return "I can help with food! Try 'uses of mutton' or 'ingredients for rice'."

    # Detect intent with fallback to uses for food items
    intent = "uses"
    item = prompt
    if "what is the use of" in prompt or "uses of" in prompt:
        item = prompt.replace("what is the use of ", "").replace("uses of ", "").strip() or prompt
        prompt = f"Provide the culinary uses of '{item}' for a restaurant. Be concise and friendly. If unknown, say 'Great for many dishes!'"
    elif any(word in prompt for word in ['suggest', 'recipe', 'dish']):
        intent = "suggest"
        prompt = f"Suggest a restaurant dish based on: {prompt}. Include ingredients and be concise."
    elif any(word in prompt for word in ['ingredients', 'ingredient']):
        intent = "ingredients"
        item = prompt.replace("ingredients for ", "").replace("ingredient of ", "").strip() or prompt
        prompt = f"List common ingredients for a restaurant dish using '{item}'. Be concise and realistic."
    elif any(word in prompt for word in ['nutrition', 'nutritional', 'info']):
        intent = "nutrition"
        item = prompt.replace("nutrition of ", "").replace("nutritional info for ", "").strip() or prompt
        prompt = f"Provide a concise, approximate nutritional overview (calories, protein, fat, carbs) for a restaurant portion of '{item}'. Use general culinary knowledge and keep it friendly."
    elif any(item in prompt for item in ['mutton', 'rice', 'chicken', 'pasta', 'veggie', 'lamb', 'beef', 'pork', 'fish', 'seafood']):
        prompt = f"Provide the culinary uses of '{item}' for a restaurant. Be concise and friendly. If unknown, say 'Great for many dishes!'"
    else:
        logger.info(f"Unclear intent, defaulting to uses for: {prompt}")
        prompt = f"Provide the culinary uses of '{prompt}' for a restaurant. Be concise and friendly. If unknown, say 'Great for many dishes!'"

    conversation_sessions[session_id].append({"role": "user", "content": prompt})

    try:
        response = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=conversation_sessions[session_id],
            max_tokens=150,
            timeout=10
        )
        reply = response.choices[0].message.content.strip()
        conversation_sessions[session_id].append({"role": "assistant", "content": reply})
        logger.info(f"ChatGPT response for '{prompt}': {reply}")
        return reply
    except Exception as e:
        logger.error(f"OpenAI API error: {e}")
        return f"Sorry, API failed. Mock response: {prompt.capitalize()} is great for curries or roasts!"

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

@app.route('/get_menu_items', methods=['POST'])
def get_menu_items():
    global sf
    if not sf:
        sf = get_salesforce_connection()
        if not sf:
            return jsonify({"error": "Unable to connect to Salesforce"}), 500

    dietary_preference = request.json.get('dietary_preference', 'both').lower()
    try:
        soql = "SELECT Name, Image_URL__c, Category__c, Description__c FROM Sector_Detail__c"
        if dietary_preference == 'vegetarian':
            soql += " WHERE Category__c = 'Veg'"
        elif dietary_preference == 'non-vegetarian':
            soql += " WHERE Category__c = 'Non-Veg'"
        soql += " LIMIT 200"
        result = sf.query(soql)
        items = [{"name": r['Name'], "image_url": r.get('Image_URL__c', ''), "category": r.get('Category__c', ''), "description": r.get('Description__c', 'No description')} for r in result['records'] if 'Name' in r]
        return jsonify({"menu_items": items})
    except Exception as e:
        logger.error(f"Failed to fetch items: {e}")
        return jsonify({"error": f"Failed to fetch items: {e}"}), 500

@app.route('/get_sector_item_details', methods=['POST'])
def get_sector_item_details():
    global sf
    if not sf:
        sf = get_salesforce_connection()
        if not sf:
            return jsonify({"error": "Unable to connect to Salesforce"}), 500

    item_name = request.json.get('item_name', '').strip()
    if not item_name:
        return jsonify({"error": "Item name is required"}), 400

    try:
        soql = f"SELECT Name, Image_URL__c, Category__c, Description__c FROM Sector_Detail__c WHERE Name LIKE '%{item_name}%' LIMIT 1"
        logger.info(f"Executing SOQL query: {soql}")
        result = sf.query(soql)

        if result['totalSize'] == 0:
            return jsonify({"error": f"No item found matching '{item_name}' in Sector_Detail__c"}), 404

        record = result['records'][0]
        item_details = {
            "name": record.get('Name', ''),
            "image_url": record.get('Image_URL__c', 'https://via.placeholder.com/30'),
            "category": record.get('Category__c', ''),
            "description": record.get('Description__c', 'No description available')
        }
        logger.info(f"Fetched details for '{item_name}' from Sector_Detail__c")
        return jsonify({"item_details": item_details})
    except Exception as e:
        logger.error(f"Failed to fetch item details from Sector_Detail__c: {e}")
        return jsonify({"error": f"Failed to fetch item details: {e}"}), 500

@app.route('/suggest_items', methods=['POST'])
def suggest_items():
    global sf
    if not sf:
        sf = get_salesforce_connection()
        if not sf:
            return jsonify({"error": "Unable to connect to Salesforce"}), 500

    search_term = request.json.get('search_term', '').strip()
    if not search_term:
        return jsonify({"error": "Search term is required"}), 400

    try:
        soql = f"SELECT Ingredient_Name__c, Image_URL__c FROM Ingredient_Object__c WHERE Ingredient_Name__c LIKE '%{search_term}%' LIMIT 10"
        logger.info(f"Executing SOQL query: {soql}")
        result = sf.query(soql)
        suggestions = [
            {"name": record['Ingredient_Name__c'], "image_url": record.get('Image_URL__c', '')}
            for record in result['records'] if 'Ingredient_Name__c' in record
        ]
        logger.info(f"Fetched {len(suggestions)} suggestions for '{search_term}'")
        return jsonify({"suggestions": suggestions})
    except Exception as e:
        logger.error(f"Failed to fetch suggestions: {e}")
        return jsonify({"error": f"Failed to fetch suggestions: {e}"}), 500

@app.route('/get_item_details', methods=['POST'])
def get_item_details():
    global sf
    if not sf:
        sf = get_salesforce_connection()
        if not sf:
            return jsonify({"error": "Unable to connect to Salesforce"}), 500

    item_name = request.json.get('item_name', '').strip()
    if not item_name:
        return jsonify({"error": "Item name is required"}), 400

    try:
        soql = f"SELECT Ingredient_Name__c, Image_URL__c FROM Ingredient_Object__c WHERE Ingredient_Name__c LIKE '%{item_name}%' LIMIT 1"
        logger.info(f"Executing SOQL query: {soql}")
        result = sf.query(soql)

        if result['totalSize'] == 0:
            return jsonify({"error": f"No item found matching '{item_name}' in Ingredient_Object__c"}), 404

        record = result['records'][0]
        item_details = {
            "name": record.get('Ingredient_Name__c', ''),
            "image_url": record.get('Image_URL__c', '')
        }
        logger.info(f"Fetched details for '{item_name}'")
        return jsonify({"item_details": item_details})
    except Exception as e:
        logger.error(f"Failed to fetch item details: {e}")
        return jsonify({"error": f"Failed to fetch item details: {e}"}), 500

@app.route('/submit_items', methods=['POST'])
def submit_items():
    global sf
    if not sf:
        sf = get_salesforce_connection()
        if not sf:
            return jsonify({"error": "Unable to connect to Salesforce"}), 500

    items = request.json.get('items', [])
    custom_order_name = request.json.get('custom_order_name', '')
    if not items:
        return jsonify({"error": "No items to submit"}), 400

    try:
        ingredient_name = custom_order_name or f"Order_{datetime.now().strftime('%Y%m%d')}_{uuid.uuid4().hex[:8]}"
        item_names = ', '.join(item['name'] for item in items)
        description = f"Contains: {item_names}"

        for item in items:
            sf.Ingredient_Object__c.create({
                'Ingredient_Name__c': ingredient_name,
                'Category__c': item.get('category', ''),
                'Description__c': f"{item.get('description', 'No description')} - {description}",
                'Image_URL__c': item.get('image_url', ''),
                'Quantity__c': item.get('quantity', 1)
            })

        return jsonify({"success": f"Submitted {len(items)} items under {ingredient_name}", "ingredient_name": ingredient_name})
    except Exception as e:
        logger.error(f"Failed to submit items: {e}")
        return jsonify({"error": f"Failed to submit items: {e}"}), 500

@app.route('/get_item_info', methods=['POST'])
def get_item_info():
    global sf, client
    item_name = request.json.get('item_name', '').strip()
    if not item_name or not client:
        return jsonify({"error": "Item name required or OpenAI unavailable"}), 400

    try:
        soql = f"SELECT Name, Description__c FROM Sector_Detail__c WHERE Name LIKE '%{item_name}%' LIMIT 1"
        result = sf.query(soql)
        if result['totalSize'] == 0:
            return jsonify({"error": f"No item found matching '{item_name}'"}), 404

        record = result['records'][0]
        base_info = record.get('Description__c', 'No description available')

        prompt = f"Based on general culinary knowledge, provide a concise list of common ingredients and an approximate nutritional overview (calories, protein, fat, carbs) for a restaurant portion of '{item_name}'. Use realistic values and keep it friendly."
        response = client.chat.completions.create(
            model="gpt-3.5-turbo",
            messages=[{"role": "user", "content": prompt}],
            max_tokens=150,
            timeout=10
        )
        ai_response = response.choices[0].message.content.strip()

        item_info = {
            "name": record['Name'],
            "description": base_info,
            "details": ai_response
        }
        logger.info(f"Generated info for '{item_name}'")
        return jsonify({"item_info": item_info})
    except Exception as e:
        logger.error(f"Failed to get item info: {e}")
        return jsonify({"error": f"Failed to get item info: {e}"}), 500

@app.route('/chat', methods=['POST'])
def chat():
    user_message = request.json.get('message', '').strip()
    session_id = request.json.get('session_id', 'default')
    if not user_message:
        return jsonify({"error": "No message provided"}), 400

    response = get_chatgpt_response(user_message, session_id)
    logger.info(f"Chat response sent: {response}")
    return jsonify({"response": response})

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