#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
PyLLM API Routes

This module provides Flask routes for interacting with the PyLLM service.
"""

from flask import Blueprint, request, jsonify, current_app
from apilama.logger import logger

# Create a blueprint for PyLLM routes
getllm_routes = Blueprint('getllm_routes', __name__)


@getllm_routes.route('/api/getllm/health', methods=['GET'])
def health_check():
    """Health check endpoint for PyLLM service.
    
    Returns:
        JSON response with the status of the PyLLM service
    """
    logger.info('PyLLM health check')
    
    # TODO: Implement actual health check for PyLLM service
    return jsonify({
        'status': 'ok',
        'service': 'getllm'
    })


@getllm_routes.route('/api/getllm/generate', methods=['POST'])
def generate_text():
    """Generate text using PyLLM.
    
    Returns:
        JSON response with the generated text
    """
    data = request.get_json()
    
    if not data or 'prompt' not in data:
        logger.error('Invalid request: No prompt provided')
        return jsonify({
            'status': 'error',
            'message': 'No prompt provided'
        }), 400
    
    prompt = data['prompt']
    model = data.get('model', 'default')
    max_tokens = data.get('max_tokens', 100)
    temperature = data.get('temperature', 0.7)
    
    logger.info(f'Generating text with PyLLM using model {model}')
    
    # TODO: Implement actual text generation with PyLLM
    # This is a placeholder for the actual implementation
    result = {
        'status': 'success',
        'text': f'Generated text based on: {prompt[:50]}...' if len(prompt) > 50 else f'Generated text based on: {prompt}',
        'model': model,
        'tokens_used': len(prompt.split()) + 20  # Approximate token count
    }
    
    return jsonify(result)
