from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool, toolInferenceClientModel
from youtube_transcript_api import YouTubeTranscriptApi       # pip install youtube-transcript-api
import datetime
import requests
import pytz
import yaml, textwrap, re
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

# ---------- TOOLS ----------
@tool
def get_transcript(url: str) -> str:
    """
    Télécharge la transcription (FR ou EN) d’une vidéo YouTube.
    Args:
        url: lien complet YouTube
    """
    # extraction robuste de l’ID
    video_id = re.search(r"(?:v=|youtu\.be/)([^&\n?#]+)", url)
    if not video_id:
        return "Impossible de détecter l’ID vidéo."
    video_id = video_id.group(1)

    try:
        transcript = YouTubeTranscriptApi.get_transcript(
            video_id, languages=['fr', 'en'])
        return " ".join(seg["text"] for seg in transcript)
    except Exception as e:
        return f"Erreur transcript : {e}"

@tool
def summarize(text: str, max_chars: int = 1500) -> str:
    """
    Résume le texte en ~10 bullet points (Markdown).
    Args:
        text: transcription brute
        max_chars: longueur max passée au LLM
    """
    # coupe si trop long pour le contexte
    snippet = text[:max_chars]
    prompt = (
        "Résume le texte suivant en 8‑10 bullet points clairs :\n\n"
        f"{snippet}\n\n# Résumé :"
    )
    return prompt  # on renvoie le prompt ; l’agent fera l’appel LLM

@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)}"

# ---------- AGENT ----------

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=tools=[final_answer, get_transcript, summarize], ## 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()