import os
import time
from typing import List, Tuple, Optional, Dict, Union

import requests
import gradio as gr

TITLE = """<h1 align="center">Insight LLM 💬</h1>"""
SUBTITLE = """<h2 align="center">Effortlessly analyze and compare Thai stocks from 56-1 One Report with advanced LLM insights.</h2>"""
DUPLICATE = """
<div style="text-align: center; display: flex; justify-content: center; align-items: center;">
    <span>Duplicate the Space and run securely with your API KEY.</span>
</div>
"""

AVATAR_IMAGES = (
    None,
    "https://media.roboflow.com/spaces/gemini-icon.png"
)

CHAT_HISTORY = List[Tuple[Optional[Union[Tuple[str], str]], Optional[str]]]

def preprocess_chat_history(
    history: CHAT_HISTORY
) -> List[Dict[str, Union[str, List[str]]]]:
    messages = []
    for user_message, model_message in history:
        if isinstance(user_message, tuple):
            pass
        elif user_message is not None:
            messages.append({'role': 'user', 'parts': [user_message]})
        if model_message is not None:
            messages.append({'role': 'model', 'parts': [model_message]})
    return messages

def user(text_prompt: str, chatbot: CHAT_HISTORY):
    if text_prompt:
        chatbot.append((text_prompt, None))
    return "", chatbot

def bot(
    chatbot: CHAT_HISTORY
):
    if len(chatbot) == 0:
        return chatbot

    if chatbot[-1][0] and isinstance(chatbot[-1][0], str):
        text_prompt = chatbot[-1][0]
        try:
            response = requests.get(
                "https://api-obon.conf.in.th/team15/query",
                params={"text": text_prompt}
            )
            response.raise_for_status()  # Raise an error for bad status codes

            try:
                response_json = response.json()
                chatbot[-1][1] = response_json.get("text", "")
            except ValueError:
                chatbot[-1][1] = f"{response.text}"
        except requests.exceptions.RequestException as e:
            chatbot[-1][1] = f"Error: {e}"
    else:
        chatbot[-1][1] = "Invalid input"

    return chatbot

chatbot_component = gr.Chatbot(
    label='API Chatbot',
    bubble_full_width=False,
    avatar_images=AVATAR_IMAGES,
    scale=2,
    height=400
)
text_prompt_component = gr.Textbox(
    placeholder="Hi there! [press Enter]", show_label=False, autofocus=True, scale=8
)
run_button_component = gr.Button(value="Run", variant="primary", scale=1)

user_inputs = [
    text_prompt_component,
    chatbot_component
]

bot_inputs = [
    chatbot_component
]

with gr.Blocks() as demo:
    gr.HTML(TITLE)
    gr.HTML(SUBTITLE)
    gr.HTML(DUPLICATE)
    with gr.Column():
        chatbot_component.render()
        with gr.Row():
            text_prompt_component.render()
            run_button_component.render()

    run_button_component.click(
        fn=user,
        inputs=user_inputs,
        outputs=[text_prompt_component, chatbot_component],
        queue=False
    ).then(
        fn=bot, inputs=bot_inputs, outputs=[chatbot_component],
    )

    text_prompt_component.submit(
        fn=user,
        inputs=user_inputs,
        outputs=[text_prompt_component, chatbot_component],
        queue=False
    ).then(
        fn=bot, inputs=bot_inputs, outputs=[chatbot_component],
    )

    # Adding the detail about currently available stock data within the Blocks context
    stock_detail = """
    <div style="text-align: center; display: flex; justify-content: center; align-items: center; margin-top: 20px;">
        <span>Currently, we have data for the following stocks: KBANK, SCB, TTB, AIS, TRUE, SANSIRI, ORIGIN.</span>
    </div>
    """
    gr.HTML(stock_detail)

demo.queue(max_size=99).launch(debug=False, show_error=True)