wp.py

from flask import Blueprint, request, jsonify
from models import User, WebsiteInfo, FAQ, APIKey, EcommerceIntegration
from extensions import db

wp_blueprint = Blueprint('wp', __name__)

@wp_blueprint.route('/wp_chat', methods=['POST'])
def wp_chat():
    data = request.json
    message = data.get('message')
    user_id = data.get('user_id')
    api_key = data.get('api_key')

    # Validate API key
    api_key_obj = APIKey.query.filter_by(key=api_key).first()
    if not api_key_obj:
        return jsonify({'error': 'Invalid API key'}), 401

    # Process the message
    response = process_wp_chatbot_message(message, user_id, api_key)

    return jsonify({'response': response})

def process_wp_chatbot_message(message, user_id, api_key):
    # Load WordPress and WooCommerce specific context
    wp_context = load_wp_context(user_id)
    
    # Determine intent
    intent = determine_wp_intent(message)
    
    if intent == 'woocommerce_query':
        return handle_woocommerce_query(message, user_id, wp_context)
    elif intent == 'wordpress_query':
        return handle_wordpress_query(message, user_id, wp_context)
    else:
        return generate_wp_ai_response(message, wp_context, api_key)

def load_wp_context(user_id):
    # Load user-specific WordPress and WooCommerce context
    user = User.query.get(user_id)
    website_info = WebsiteInfo.query.filter_by(user_id=user_id).first()
    faq_items = FAQ.query.filter_by(user_id=user_id).order_by(FAQ.order).all()
    
    context = {
        "website_name": website_info.name if website_info else "",
        "website_description": website_info.description if website_info else "",
        "website_features": website_info.features.split(',') if website_info and website_info.features else [],
        "faq": [{"question": faq.question, "answer": faq.answer} for faq in faq_items],
        "woocommerce_enabled": check_woocommerce_enabled(user_id),
    }
    
    return context

def determine_wp_intent(message):
    # Implement intent determination logic for WordPress and WooCommerce
    woocommerce_keywords = ['product', 'order', 'cart', 'checkout', 'payment', 'shipping']
    wordpress_keywords = ['post', 'page', 'theme', 'plugin', 'user', 'comment']
    
    message = message.lower()
    
    if any(keyword in message for keyword in woocommerce_keywords):
        return 'woocommerce_query'
    elif any(keyword in message for keyword in wordpress_keywords):
        return 'wordpress_query'
    else:
        return 'general_query'

def handle_woocommerce_query(message, user_id, context):
    # Implement WooCommerce-specific query handling
    if 'order status' in message.lower():
        return get_order_status(user_id, message)
    elif 'product' in message.lower():
        return get_product_info(user_id, message)
    elif 'cart' in message.lower():
        return get_cart_info(user_id)
    else:
        return "I understand you're asking about WooCommerce. Can you please provide more details about your query?"

def handle_wordpress_query(message, user_id, context):
    # Implement WordPress-specific query handling
    if 'post' in message.lower():
        return get_post_info(user_id, message)
    elif 'page' in message.lower():
        return get_page_info(user_id, message)
    elif 'plugin' in message.lower():
        return get_plugin_info(user_id, message)
    else:
        return "I understand you're asking about WordPress. Can you please provide more details about your query?"

def generate_wp_ai_response(message, context, api_key):
    # Use AI model to generate a response based on WordPress and WooCommerce context
    prompt = f"""
    WordPress site: {context['website_name']}
    Description: {context['website_description']}
    Features: {', '.join(context['website_features'])}
    WooCommerce: {'enabled' if context['woocommerce_enabled'] else 'not enabled'}
    FAQ: {' '.join([f"Q: {faq['question']} A: {faq['answer']}" for faq in context['faq']])}
    Query: {message}
    Provide a concise, helpful response:
    """
    
    # Use your AI model (e.g., GPT-3) to generate a response
    response = generate_ai_response(prompt, api_key)
    
    return response

# Implement these functions based on your WooCommerce integration
def get_order_status(user_id, message):
    # Extract order number and fetch status from WooCommerce
    pass

def get_product_info(user_id, message):
    # Extract product name/ID and fetch info from WooCommerce
    pass

def get_cart_info(user_id):
    # Fetch current cart info for the user
    pass

# Implement these functions based on your WordPress integration
def get_post_info(user_id, message):
    # Extract post title/ID and fetch info from WordPress
    pass

def get_page_info(user_id, message):
    # Extract page title/ID and fetch info from WordPress
    pass

def get_plugin_info(user_id, message):
    # Extract plugin name and fetch info from WordPress
    pass

def check_woocommerce_enabled(user_id):
    # Check if WooCommerce is enabled for the user's WordPress site
    pass

@wp_blueprint.route('/fine_tune_wp_woo', methods=['POST'])
def fine_tune_wp_woo():
    data = request.json
    api_key = data.get('api_key')
    
    if not api_key:
        return jsonify({'error': 'API key is required'}), 400
    
    result = fine_tune_wp_woo_model(api_key)
    
    return jsonify({'message': result}), 200

def fine_tune_wp_woo_model(api_key):
    # This function would use the wp_woo_finetuning_data to fine-tune your AI model
    # The implementation depends on your specific AI model and fine-tuning process
    # Here's a placeholder implementation:
    
    model = load_base_model(api_key)
    
    for item in wp_woo_finetuning_data:
        model.train(input=item['input'], expected_output=item['output'])
    
    save_fine_tuned_model(model, api_key)
    
    return "Model fine-tuned successfully for WordPress and WooCommerce customer support queries."

# Add other necessary functions and wp_woo_finetuning_data here