import time
import gradio as gr
import requests
import json

def generate_session_id():
    return str(uuid.uuid4())  

def slow_api_response(message, history, property_id="c0ced2220b87fc23762facf617157a4f", session_id="12345"):
    url = "https://data-monopolio.dev.dd360.mx/ai-assistant/v1"

    payload = json.dumps({
        "query": message,
        "sessionId": session_id,
        "numMessages": "3", 
        "userId": "user-01",
        "property_id": property_id #"c0ced2220b87fc23762facf617157a4f"
    })
    
    headers = {
        'Content-Type': 'application/json'
    }

    try:
        
        response = requests.request("POST", url, headers=headers, data=payload)
        if response.status_code == 500:  # Verifica si hay un error interno del servidor
            yield "Error: No existe el ID de la propiedad."
        
        else:
            api_response = response.text
            api_response = api_response.encode().decode('unicode_escape')
            
            total_time = 5  
            response_length = len(api_response)
            sleep_time = total_time / response_length if response_length > 0 else total_time

            if response_length > 3000:
                yield api_response  
            
            else: 
                for i in range(response_length):
                    time.sleep(sleep_time)  
                    yield api_response[:i + 1]

    except requests.RequestException as e:
        yield f"Error: {str(e)}"

property_id_input = gr.Textbox(
    label="Property ID",
    placeholder="Ingresa el ID de la propiedad"
    )

session_id_input = gr.Textbox(
    label="Session ID",
    placeholder="Ingresa el ID de tu sesion"
    )

def dynamic_examples():
    examples = [
        ["Hola", "6072ef21835a01fee0f14ace35e5d814", generate_session_id()],
        ["Hola", "db674f4a5bb6b696698f2ab5825d68dd", generate_session_id()],
        ["Hola", "7ba0195e733b613efb3379af7cbd3613", generate_session_id()]
    ]
    return examples

demo = gr.ChatInterface(fn=slow_api_response,
                        title="AI Assistant",  
                        additional_inputs=[property_id_input, session_id_input],
                        description="Esta app simula una conversación con un asistente virtual que conoce una propiedad.",
                        examples=dynamic_examples(),
                        live=True
                        ).launch()