import gradio as gr
import os
from openai import OpenAI
from utils import get_secret
from database import create_chatbot, get_chatbot, update_chatbot, delete_chatbot, get_all_chatbots, filter_profanity

CREATE_APP_PW = get_secret("CREATE_APP_PW")
ADMIN_PW = get_secret("ADMIN_PW")
OPENAI_API_KEY = get_secret("OPENAI_API_KEY")

client = OpenAI(api_key=OPENAI_API_KEY)


def create_chatbot_interface(name, custom_instruction, password):
    if password != CREATE_APP_PW:
        return "Invalid password. Chatbot creation failed."

    filtered_name = filter_profanity(name)
    filtered_instruction = filter_profanity(custom_instruction)

    chatbot = create_chatbot(filtered_name, filtered_instruction)
    return f"Chatbot created with ID: {chatbot.chatbot_id}"

def chat_with_bot(message, history, chatbot_id):
    chatbot = get_chatbot(chatbot_id)
    if not chatbot:
        return "Invalid chatbot ID or chatbot not active"

    # Prepare the conversation history for OpenAI
    conversation = [
        {"role": "system", "content": chatbot.custom_instruction},
    ]
    for human, assistant in history:
        conversation.append({"role": "user", "content": human})
        conversation.append({"role": "assistant", "content": assistant})
    conversation.append({"role": "user", "content": message})

    try:
        response = client.chat.completions.create(model="gpt-3.5-turbo",
        messages=conversation)
        return response.choices[0].message.content
    except Exception as e:
        return f"An error occurred: {str(e)}"

def admin_view(password):
    if password != ADMIN_PW:
        return "Invalid admin password."

    chatbots = get_all_chatbots()
    return gr.Dataframe(
        headers=["ID", "Name", "Custom Instruction", "Is Active"],
        data=[[c.chatbot_id, c.name, c.custom_instruction, c.is_active] for c in chatbots]
    )

def admin_action(action, chatbot_id, name, custom_instruction, is_active, password):
    if password != ADMIN_PW:
        return "Invalid admin password."

    if action == "Edit":
        update_chatbot(chatbot_id, name, custom_instruction, is_active)
        return "Chatbot updated successfully."
    elif action == "Delete":
        delete_chatbot(chatbot_id)
        return "Chatbot deleted successfully."
    else:
        return "Invalid action."

with gr.Blocks() as demo:
    chatbot_id_input = gr.Textbox(label="Enter Chatbot ID", visible=False)

    with gr.Tab("Chat"):
        chatbot_title = gr.Markdown("Welcome to the Chatbot")
        chat_interface = gr.ChatInterface(
            chat_with_bot,
            additional_inputs=[chatbot_id_input],
        )
        share_link = gr.Textbox(label="Share Link", interactive=False)

    with gr.Tab("Create Chatbot"):
        name = gr.Textbox(label="Chatbot Name")
        instructions = gr.Textbox(label="Enter custom instructions for your chatbot")
        create_password = gr.Textbox(label="Creation Password", type="password")
        create_button = gr.Button("Create Chatbot")
        create_output = gr.Textbox(label="Creation Result")
        create_button.click(create_chatbot_interface, inputs=[name, instructions, create_password], outputs=create_output)

    with gr.Tab("Admin"):
        admin_password = gr.Textbox(label="Admin Password", type="password")
        admin_button = gr.Button("View Chatbots")
        admin_output = gr.Dataframe(headers=["ID", "Name", "Custom Instruction", "Is Active"])
        admin_button.click(admin_view, inputs=[admin_password], outputs=admin_output)

        with gr.Row():
            admin_action_dropdown = gr.Dropdown(["Edit", "Delete"], label="Action")
            admin_chatbot_id = gr.Textbox(label="Chatbot ID")
            admin_name = gr.Textbox(label="Name")
            admin_instruction = gr.Textbox(label="Custom Instruction")
            admin_is_active = gr.Checkbox(label="Is Active")
        admin_action_button = gr.Button("Perform Action")
        admin_action_output = gr.Textbox(label="Action Result")
        admin_action_button.click(
            admin_action,
            inputs=[admin_action_dropdown, admin_chatbot_id, admin_name, admin_instruction, admin_is_active, admin_password],
            outputs=admin_action_output
        )

    @demo.load(inputs=[chatbot_id_input], outputs=[chatbot_title, chatbot_id_input, share_link])
    def load_chatbot(chatbot_id, request: gr.Request):
        # Check if there's a chatbot_id in the URL parameters
        params = request.query_params
        if "chatbot_id" in params:
            chatbot_id = params["chatbot_id"]

        chatbot = get_chatbot(chatbot_id)
        if chatbot:
            return (
                gr.update(value=f"Welcome to {chatbot.name}"),
                gr.update(value=chatbot_id, visible=True),
                gr.update(value=f"https://huggingface.co/spaces/codora/ai-app-creator?chatbot_id={chatbot_id}")
            )
        return (
            gr.update(value="Welcome to the Chatbot"),
            gr.update(value="", visible=True),
            gr.update(value="")
        )

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