# Project: E-commerce Chatbot
# Developed by: Molla Samser
# Team: Rima Khatun (Designer & Tester)
# Website: https://rskworld.in
# Email: support@rskworld.in
# Year: 2026
# "Empowering E-commerce with AI"

import os
from flask import Flask, render_template, request, jsonify
from dotenv import load_dotenv
from database import db, init_db
from bot_logic import get_bot_response, search_products
from models import Product, Order

load_dotenv()

app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///instance/ecommerce.db'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False

# Ensure instance folder exists
if not os.path.exists('instance'):
    os.makedirs('instance')

init_db(app)

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

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

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

@app.route('/api/chat', methods=['POST'])
def chat():
    data = request.json
    user_message = data.get('message')
    history = data.get('history', [])
    
    assistant_response = get_bot_response(user_message, history)
    
    return jsonify({
        'response': assistant_response
    })

@app.route('/api/products')
def api_products():
    query = request.args.get('q', '')
    if query:
        products = search_products(query)
    else:
        products = [p.to_dict() for p in Product.query.all()]
    return jsonify(products)

@app.route('/api/orders')
def api_orders():
    orders = [o.to_dict() for o in Order.query.all()]
    return jsonify(orders)

if __name__ == '__main__':
    app.run(debug=True)