import gradio as gr
import os
from dataset_loader import load_dataset
from dotenv import load_dotenv

load_dotenv()

if not os.path.isdir("low_partners_chatbot_data"):
    load_dataset()

from low_partners_chatbot_data.agent import Agent


import gradio as gr
import fitz  # PyMuPDF
from PIL import Image
import io
import os
from uuid import uuid4

agent = Agent()


def extract_pages_from_multiple_pdfs(pdf_info):
    images = []
    for pdf_path, page_numbers in pdf_info.items():
        if not os.path.exists(pdf_path):
            print(f"PDF file not found: {pdf_path}")
            continue

        try:
            doc = fitz.open(pdf_path)
            for page_num in page_numbers:
                if 1 <= page_num <= len(doc):
                    page = doc.load_page(page_num - 1)
                    pix = page.get_pixmap(
                        matrix=fitz.Matrix(2, 2)
                    )  # Increase resolution
                    img = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
                    images.append(
                        (img, f"{os.path.basename(pdf_path)} - Page {page_num}")
                    )
                else:
                    print(f"Page {page_num} is out of range for {pdf_path}")
            doc.close()
        except Exception as e:
            print(f"An error occurred with {pdf_path}: {str(e)}")

    return images


def get_answer(query, chat_history, session_id):
    print(f"Session ID: {session_id}")
    answer, pdf_info = agent.ask(query, session_id)

    images = []
    if pdf_info:
        images = extract_pages_from_multiple_pdfs(pdf_info)

    # Update chat history
    chat_history.append((query, answer))

    return chat_history, images, session_id


with gr.Blocks(title="Low & Partners Chatbot") as demo:
    # Initialize session ID
    session_id = gr.State(value=lambda: str(uuid4()))

    gr.Markdown("## Low & Partners Chatbot")
    gr.Markdown(
        "This is a chatbot for Low & Partners Law Firm. Ask me anything related to law!  \n"
        "Note: The chat session persists until you refresh the page."
    )

    with gr.Row():
        # Left Column - Chat Interface
        with gr.Column(scale=1):
            chatbot = gr.Chatbot(label="Conversation History")
            query_input = gr.Textbox(
                label="Enter your legal query",
                placeholder="Type your question here and press Enter...",
                lines=3,
            )
            submit_btn = gr.Button("Submit", variant="primary")

        # Right Column - PDF References
        with gr.Column(scale=1):
            gallery = gr.Gallery(
                label="Reference Documents from Latest Answer",
                allow_preview=True,
                preview=True,
                object_fit="contain",
                height=600,
            )

    # Event handlers for both button click and Enter key
    submit_event = submit_btn.click(
        fn=get_answer,
        inputs=[query_input, chatbot, session_id],
        outputs=[chatbot, gallery, session_id],
    ).then(lambda: "", outputs=[query_input])

    query_input.submit(
        fn=get_answer,
        inputs=[query_input, chatbot, session_id],
        outputs=[chatbot, gallery, session_id],
    ).then(lambda: "", outputs=[query_input])

if __name__ == "__main__":
    demo.launch()