from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
import datetime
import requests
import pytz
import yaml
from huggingface_hub import login
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 my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
    #Keep this format for the description / args / args description but feel free to modify the tool
    """A tool that does nothing yet, but now can print your name 
    Args:
        arg1: name
        arg2: age
    """
    return "Hello sir now you're age"

@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)}"



@tool 
def get_last_match(team: str) -> str:
    """
    Get the last 5 matches of a team introduced.

    Args:
        team: string representing a football team name
    """
    search_query = f"{team} last 5 matches"
    search_results = DuckDuckGoSearchTool().run(search_query)
    
    matches = []
    # Iterate through search results to find matches
    for result in search_results:
        snippet = result.get('snippet', '').lower()
        # Check if snippet contains match-related keywords
        if ' vs ' in snippet or 'match' in snippet or 'result' in snippet:
            # Split snippet into lines to parse each match
            lines = result['snippet'].split('\n')
            for line in lines:
                # Look for lines indicating a match (e.g., containing 'vs' or dates)
                if ' vs ' in line or (' vs. ' in line) or (' - ' in line and ('win' in line or 'draw' in line or 'loss' in line)):
                    match_info = line.strip()
                    matches.append(match_info)
                    if len(matches) >= 5:
                        break
            if len(matches) >= 5:
                break
    
    if not matches:
        return f"No recent matches found for the team."
    
    # Format the last 5 matches
    formatted_matches = "\n".join(matches[:5])
    return formatted_matches


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_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model_name = 'deepseek-ai/DeepSeek-R1'

model = HfApiModel(
max_tokens=2096,
temperature=0.5,
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud', 
model_id= model_id, #'stabilityai/stable-diffusion-xl-base-1.0',# 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, get_last_match, image_generation_tool], ## 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()