from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
from smolagents.tools import tooldef  # Добавляем этот импорт
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

@tool
def generate_keywords(topic: str, num_keywords: int) -> str:
    """A tool that generates relevant keywords for a given topic
    
    Args:
        topic: The main topic or subject area to generate keywords for
        num_keywords: Number of keywords to generate (1-20)
    """
    # Common keyword patterns and modifiers
    modifiers = [
        "как", "почему", "что такое", "топ", "лучший",
        "обзор", "руководство", "советы", "примеры",
        "методы", "способы", "виды", "типы"
    ]
    
    suffixes = [
        "для начинающих", "пошагово", "с нуля",
        "быстро", "эффективно", "просто",
        "в 2025 году", "онлайн", "на практике"
    ]
    
    import random
    
    # Ensure number of keywords is within reasonable range
    num_keywords = max(1, min(20, num_keywords))
    
    # Generate keyword combinations
    keywords = set()
    while len(keywords) < num_keywords:
        keyword_type = random.randint(1, 3)
        
        if keyword_type == 1:
            keyword = f"{random.choice(modifiers)} {topic}"
        elif keyword_type == 2:
            keyword = f"{topic} {random.choice(suffixes)}"
        else:
            keyword = f"{random.choice(modifiers)} {topic} {random.choice(suffixes)}"
            
        keywords.add(keyword)
    
    # Format the response
    response = f"""Ключевые слова по теме "{topic}":\n\n"""
    for i, keyword in enumerate(keywords, 1):
        response += f"{i}. {keyword}\n"
        
    return response

# Initialize components
final_answer = FinalAnswerTool()

# Model initialization
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)

# Load tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Load prompt templates
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Create agent
agent = CodeAgent(
    tools=[
        image_generation_tool,
        generate_keywords,
        final_answer,
        DuckDuckGoSearchTool()
    ],
    model=model,
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

# Launch UI
GradioUI(agent).launch()