# app.py
from smolagents import CodeAgent, DuckDuckGoSearchTool, load_tool, tool, InferenceClientModel
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool

# Weather-specific imports
import openmeteo_requests
import pandas as pd
import requests_cache
from retry_requests import retry

from Gradio_UI import GradioUI

# Example tool
@tool
def hourly_temperature(latitude: float, longitude: float) -> str:
    """Fetch hourly temperature from Open-Meteo API.

    Args:
        latitude: Latitude of the location
        longitude: Longitude of the location
    """
    cache_session = requests_cache.CachedSession('.cache', expire_after=3600)
    retry_session = retry(cache_session, retries=5, backoff_factor=0.2)
    openmeteo = openmeteo_requests.Client(session=retry_session)

    url = "https://api.open-meteo.com/v1/forecast"
    params = {
        "latitude": latitude,
        "longitude": longitude,
        "hourly": "temperature_2m",
    }
    response = openmeteo.weather_api(url, params=params)
    hourly = response.Hourly()
    hourly_temperature_2m = hourly.Variables(0).ValuesAsNumpy()

    data = {"temperature_2m": hourly_temperature_2m}
    return data["temperature_2m"]

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """Fetch current local time for a given timezone.

    Args:
        timezone: A string representing a valid timezone (e.g., 'Africa/Kigali').
    """
    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)}"


# Final answer tool
final_answer = FinalAnswerTool()

# Create model using latest smolagents class
model = InferenceClientModel(
    model_id="Qwen/Qwen2.5-Coder-32B-Instruct",
    temperature=0.5,
    max_new_tokens=2048
)

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

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

# Create agent
agent = CodeAgent(
    model=model,
    tools=[final_answer, hourly_temperature, get_current_time_in_timezone, image_generation_tool],
    max_steps=6,
    verbosity_level=1,
    #grammar=None,
    planning_interval=None,
    name="DormAI",
    description="AI agent for dorm management",
    prompt_templates=prompt_templates
)

# Test the tools
hourly_temperature(32.9, 15)
get_current_time_in_timezone('Africa/Kigali')

# Launch UI
GradioUI(agent).launch()