# 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 countries_by_currency_and_language(currency: str, language: str) -> str:
#     """
#     Fetches countries that use a specified currency and speak a specified language via API.
#     Uses targeted API calls to avoid fetching all countries unnecessarily.

#     Args:
#         currency: A 3-letter currency code (e.g., 'USD', 'EUR', 'NGN').
#         language: A language name (e.g., 'English', 'French', 'Swahili').
#     """
#     import requests

#     # Step 1: Fetch countries by currency
#     try:
#         currency_response = requests.get(f"https://restcountries.com/v3.1/currency/{currency.upper()}")
#         currency_response.raise_for_status()
#         currency_countries = currency_response.json()
#     except requests.exceptions.RequestException as e:
#         return f"Failed to fetch countries by currency: {str(e)}"

#     # Step 2: Fetch countries by language
#     try:
#         language_response = requests.get(f"https://restcountries.com/v3.1/lang/{language.lower()}")
#         language_response.raise_for_status()
#         language_countries = language_response.json()
#     except requests.exceptions.RequestException as e:
#         return f"Failed to fetch countries by language: {str(e)}"

#     # Step 3: Find intersection of countries (matches both currency and language)
#     currency_set = {c["name"]["common"] for c in currency_countries}
#     language_set = {c["name"]["common"] for c in language_countries}
#     matches = list(currency_set & language_set)

#     # Step 4: Return results
#     if matches:
#         return f"Countries using {currency.upper()} and speaking {language.capitalize()}: {', '.join(matches)}."
#     else:
#         return f"No countries found using {currency.upper()} and speaking {language.capitalize()}."

# @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()


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

# Custom Tools
@tool
def countries_by_currency_and_language(currency: str, language: str) -> str:
    """Fetches countries using specified currency and language."""
    try:
        # Fetch by currency
        currency_response = requests.get(f"https://restcountries.com/v3.1/currency/{currency.upper()}")
        currency_response.raise_for_status()
        currency_countries = currency_response.json()
        
        # Fetch by language
        language_response = requests.get(f"https://restcountries.com/v3.1/lang/{language.lower()}")
        language_response.raise_for_status()
        language_countries = language_response.json()
        
        # Find intersection
        currency_set = {c["name"]["common"] for c in currency_countries}
        language_set = {c["name"]["common"] for c in language_countries}
        matches = list(currency_set & language_set)
        
        return f"Countries using {currency.upper()} and speaking {language.capitalize()}: {', '.join(matches)}." if matches else f"No matches found."
    except Exception as e:
        return f"Error: {str(e)}"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """Returns current time in specified timezone."""
    try:
        tz = pytz.timezone(timezone)
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"Current time in {timezone}: {local_time}"
    except Exception as e:
        return f"Error: {str(e)}"

# Initialize tools
final_answer = FinalAnswerTool()
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

# Model configuration with fallback
try:
    primary_model = HfApiModel(
        max_tokens=2096,
        temperature=0.5,
        model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
        custom_role_conversions=None,
    )
except Exception:
    primary_model = HfApiModel(
        max_tokens=2096,
        temperature=0.5,
        model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud',
        custom_role_conversions=None,
    )

# Load prompts
try:
    with open("prompts.yaml", 'r') as stream:
        prompt_templates = yaml.safe_load(stream)
except FileNotFoundError:
    prompt_templates = None
    print("Warning: prompts.yaml not found, using default prompts")

# Create agent with all tools
agent = CodeAgent(
    model=primary_model,
    tools=[final_answer, countries_by_currency_and_language, 
           get_current_time_in_timezone, image_generation_tool],
    max_steps=10,  # Increased for more complex tasks
    verbosity_level=1,
    prompt_templates=prompt_templates
)

# Launch UI
GradioUI(agent).launch()