import datetime
import requests
import pytz
import yaml
from smolagents import CodeAgent, DuckDuckGoSearchTool, InferenceClientModel, load_tool, ManagedAgent
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI

# 1. Define your custom tools
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)}"

# 2. Setup the Model
'''
model = InferenceClientModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    custom_role_conversions=None,
)
'''
# HfApiModel is the updated standard for Hugging Face Hub inference
from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, ManagedAgent

model = HfApiModel(
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
    max_tokens=2096,
    temperature=0.5,
    token=None # It will automatically use your HF_TOKEN environment variable
)

# 3. Initialize Base Tools
final_answer = FinalAnswerTool()
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
search_tool = DuckDuckGoSearchTool()

# 4. CREATE A MANAGED AGENT (The "Worker")
# A managed agent needs a 'name' and 'description' so the manager knows how to call it.
web_search_agent = CodeAgent(
    model=model,
    tools=[search_tool],
    name="web_search_agent",
    description="Useful for searching the internet for current events, news, or specific facts."
)

managed_web_agent = ManagedAgent(
    agent=web_search_agent,
    name="web_search",
    description="Runs web searches for you. Give it a detailed query as a task."
)

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

# 6. CREATE THE MANAGER AGENT
# We pass the managed_web_agent into 'managed_agents'
agent = CodeAgent(
    model=model,
    tools=[final_answer, get_current_time_in_timezone, image_generation_tool],
    managed_agents=[managed_web_agent], # Manager can now delegate to the search agent
    max_steps=10, # Increased steps to allow for delegation overhead
    verbosity_level=1,
    prompt_templates=prompt_templates
)

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