# old and defaulyt code:
# 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 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 
#     Args:
#         arg1: the first argument
#         arg2: the second argument
#     """
#     return "What magic will you build ?"

# @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()

# # 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], ## 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()

# new code: (by gemini + me + Agents course)
# 1. Import spaces at the top
import datetime
import pytz
import requests
import yaml
import spaces
from smolagents import CodeAgent, HfApiModel, DuckDuckGoSearchTool, load_tool, tool, FinalAnswerTool #, InferenceClientModel, 
#from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
from duckduckgo_search import DDGS # or: from ddgs import DDGS

# Gloable vars and important stuff:

search_tool = DuckDuckGoSearchTool() #for search tool # the easy way.
#search_results = _ddg_search(query)
final_answer = FinalAnswerTool() #final answer tool
# image generation tool
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

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

# in `prompts.yml` we have sys_prompt.
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream) 


# Tools (user def tools):

@tool
def my_custom_tool(arg1: str, arg2: int) -> str:
    """A tool that does nothing yet 
    Args:
        arg1: the first argument
        arg2: the second argument
    """
    return "What magic will you build ?"

@tool
def hbty(b_day: str) -> str: #hbty = Happy Birthday to you
    """
    A tool for wishing Happy Birthday, If use query or inputs have or contain keyword "birthday" or "bday".
    A tool that generates a happy birthday greeting whenever the user mentions 'birthday', 'bday', or asks about birthdays.
    Args:
        b_day: A string containing a question or statement to check for birthday keywords like 'birthday' or 'bday'.
    """
    #return "Happy Birthday To You !!!! :)"
    cleaned_input = b_day.lower()
    if "birthday" in cleaned_input or "bday" in cleaned_input:
        return "Happy Birthday To You !!!! :)"
    else:
        return "No birthday mentioned in the statement."

@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:
        tz = pytz.timezone(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_search_results(query: str) -> str:
    """A tool that fetches the data from the internet, for a specific search query.
    Args:
        query: A string representing a valid question or request for example, 'What is the capitol of india?'
    """
    try:
        # DuckDuckGoSearchTool is callable directly with the query string
        #search_results = _ddg_search(query)
        #return search_results
        results = ddg_client.text(query, max_results=5)
        return str(results)
    except Exception as e:
        return f"Error executing search query '{query}': {str(e)}"

@tool
def generate_code_snippet(language: str, task_description: str) -> str:
    """Generates a clean code snippet in a requested programming language for a specific task.

    Args:
        language: The programming language to write (e.g., 'python', 'cpp', 'javascript', 'sql').
        task_description: A clear description of what the code should do.
    """
    prompt = f"Write a clean, efficient {language} code snippet to fulfill this task: {task_description}. Provide brief comments."

    try:
        # Call the model to generate code
        response = model([{"role": "user", "content": prompt}])
        return response.content
    except Exception as e:
        return f"Error generating code: {str(e)}"


# Runner code:
# 2. Decorate the agent execution function for ZeroGPU
@spaces.GPU
def run_agent(prompt):
    return agent.run(prompt)

# our agent:
agent = CodeAgent(
    model=model,
    tools=[final_answer,generate_code_snippet,get_search_results,get_current_time_in_timezone,hbty,my_custom_tool,search_tool,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 # Pass system prompt to CodeAgent
)

# Launch Gradio UI
GradioUI(agent).launch()