"""This module contains tools for processing images or videos."""

import os
import base64
import mimetypes
from langchain_core.tools import tool
from langchain_google_genai import ChatGoogleGenerativeAI

@tool
def query_image(image_path: str, query: str) -> str:
    """Uses a multimodal LLM to answer a query for a given image.

    Args:
        image_path (str): The path to the image to process
        query (str): The query to be answered based on the image

    Returns:
        str: Answer of the query based on the image
    """
    llm = ChatGoogleGenerativeAI(
        model="gemini-2.0-flash-001",
        temperature=0.8,
        max_tokens=None,
        timeout=None,
        max_retries=2,
        google_api_key=os.getenv("GOOGLE_API_KEY")  # Get API key from environment variable
    )
    with open(image_path, "rb") as f:
        image_bytes = f.read()

    mime_type = mimetypes.guess_type(image_path)[0] or "image/jpeg"
    image_b64 = base64.b64encode(image_bytes).decode("utf-8")
    image_dict = {
        "mime_type": mime_type,
        "data": image_b64
    }

    response = llm.invoke(
            input=query,
            images=[image_dict]
        )
    return response.content