from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# Below is an example of a tool that does nothing. Amaze us with your creativity !
@tool
def buscar_datos_gob(term: str, page_size: int = 10, page: int = 0) -> dict:
    """
    Search for datasets in the datos.gob.es API.

    Args:
        term: The search term for datasets.
        page_size: Number of results per page (max 50).
        page: The page number for pagination.

    Returns:
        A dictionary with the relevant datasets, showing the title, description, publisher, and access URL.
    """
    import requests

    base_url = "https://datos.gob.es/apidata/catalog/dataset"
    params = {
        "q": term,
        "_pageSize": page_size,
        "_page": page
    }
    headers = {
        "Accept": "application/json",
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36"
    }

    try:
        response = requests.get(base_url, params=params, headers=headers)
        response.raise_for_status()
        data = response.json()

        # Extraer los datasets de la respuesta
        datasets = []
        for item in data.get("result", {}).get("items", []):
            dataset_info = {
                "title": item.get("title", "No Title"),
                "description": item.get("description", {}).get("text", "No Description"),
                "publisher": item.get("publisher", "Unknown Publisher"),
                "accessURL": item.get("distribution", {}).get("accessURL", "No URL Available"),
                "modified": item.get("modified", "No Date Available"),
                "license": item.get("license", "No License Available")
            }
            datasets.append(dataset_info)

        return {"datasets": datasets}

    except requests.exceptions.RequestException as e:
        return {"error": f"Request Error: {str(e)}"}



final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may be overloaded
custom_role_conversions=None,
)


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

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer, buscar_datos_gob],  # ✅ Ahora sí se usa
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()