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

from Gradio_UI import GradioUI

@tool
def extract_knowledge_graph(text: str) -> str:
    """
    Uses a Hugging Face chat model to extract entities and relations from the input text.

    Args:
        text: The input text string containing entities and relationships.

    Returns:
        A string representing the knowledge graph in triple format.
    """
    HF_TOKEN = os.environ.get("HF_TOKEN")
    if not HF_TOKEN:
        return "Error: Hugging Face token not found."

    headers = {
        "Authorization": f"Bearer {HF_TOKEN}",
        "Content-Type": "application/json"
    }

    API_URL = "https://router.huggingface.co/hf-inference/models/meta-llama/Llama-3.2-11B-Vision-Instruct/v1/chat/completions"

    # Format the prompt
    prompt = f"""Extract all the entities and their relationships from this text as structured knowledge triples.

Text: "{text}"

Format:
(Subject) -[Relation]-> (Object)
"""

    payload = {
        "messages": [
            {"role": "system", "content": "You are a helpful assistant that extracts knowledge graphs from text."},
            {"role": "user", "content": prompt}
        ],
        "temperature": 0.5,
        "max_tokens": 1024
    }

    response = requests.post(API_URL, headers=headers, json=payload)

    if response.status_code != 200:
        return f"API error: {response.status_code} - {response.text}"

    try:
        output = response.json()["choices"][0]["message"]["content"]
        return output
    except Exception as e:
        return f"Failed to parse response: {e}"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """A tool that fetches the current local time in a specified timezone.
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"


final_answer = FinalAnswerTool()
web_search = DuckDuckGoSearchTool()

# 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, extract_knowledge_graph], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)


GradioUI(agent).launch()