from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool

# Google Gemini
#from litellm import LiteLLMModel, RateLimitError

import datetime
import requests
import yaml
import os
import pytz # Had to give it permission in Code agent  

# Tools 
from tools.final_answer import FinalAnswerTool
from tools.polite_guard import PoliteGuardTool 
from tools.web_search import DuckDuckGoSearchTool
from check_endpoint import is_huggingface_endpoint

from Gradio_UI import GradioUI


@tool
def get_the_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').

    Returns: 
         string:  A sentence that provides the time using the  12-hour clock including  AM/PM
    """
    try:
        # Create timezone object
        tz = pytz.timezone(timezone)
        # Get current time in that timezone
        local_time = datetime.datetime.now(tz).strftime("%I:%M %p")  # %I for 12-hour clock, %M for minutes, %p for AM/PM
        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()
#@tool
polite_guard = PoliteGuardTool()
web_search = DuckDuckGoSearchTool()


# Switch to Gemini if this model gets overloaded
my_id = 'Qwen/Qwen2.5-Coder-32B-Instruct'
# example of an end point
#my_id="https://ntqicork29enjoy5.us-east4.gcp.endpoints.huggingface.cloud"


my_id = os.getenv("QWEN_URI")


# Test the endpoint

if is_huggingface_endpoint(my_id):
    print("This is a Hugging Face Inference Endpoint.")
else:
    print("This is NOT a Hugging Face Inference Endpoint.")
     sys.exit(1)  # Stop execution if the endpoint is not valid


'''
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id= my_id,
     custom_role_conversions=None,
 )

'''
'''
model = LiteLLMModel(
  model_id="gemini/gemini-2.0-flash-exp",
  max_tokens=2096,
 temperature=0.6,
 api_key=os.getenv("LITELLM_API_KEY")
)

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

# Load prompts.yaml
with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)

# Load contentprompts.yml
with open("contentprompts.yml", 'r') as stream:
    content_prompts = yaml.safe_load(stream)

combined_prompts = {**prompt_templates, **content_prompts}


#  web_search, visit_webpage 
'''    
agent = CodeAgent(
    model=model,
    tools=[final_answer, polite_guard, web_search, get_the_current_time_in_timezone ], ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=3,
    grammar=None,
    planning_interval=None,
    name="Content Agent",
    description="Evaluates whether text is polite or impolite. ",
    prompt_templates=combined_prompts,
    additional_authorized_imports=["pytz"]
 
)


GradioUI(agent).launch()

'''