import gradio as gr
import time
import os
import glob
import torch
import gc
import re
import json
from pathlib import Path
from omegaconf import OmegaConf

from rag.constants.default_prompt import PROMT_USER_INTENT_TREE
from rag.reader.directory_reader import DirectoryReader
from rag.pipeline.milvus_bm25_retriever import HybridSearchRetrieverPipeline
from rag.pipeline.contextual_generator_qa import ContextualQuestionGeneratorPipeline
from rag.synthesizer.types import StreamingResponse
from rag.config.configuration import ConfigurationManager

torch.cuda.empty_cache()
gc.collect()

# === Cargar PDFs
pdf_files = glob.glob(os.path.abspath(os.curdir) + "/data/*.pdf")
reader = DirectoryReader(input_files=pdf_files)
documents = reader.load_data()

# === Configuración
config = OmegaConf.load(Path("configs/config.yaml"))
manager = ConfigurationManager(config)

# === Inicializar Pipelines
pipeline = HybridSearchRetrieverPipeline(
    documents=documents,
    splitter_config=manager.get_splitter_config(),
    index_retriver_config=manager.get_index_retriever_config(),
    embed_config=manager.get_embed_config(),
    milvus_config=manager.get_db_config(),
    rerank_config=manager.get_rerank_config(),
    response_config=manager.get_response_config(),
    llm_config=manager.get_llm_config()
)

qgen_pipeline = ContextualQuestionGeneratorPipeline(
    llm_config=manager.get_llm_config(),
    embed_config=manager.get_embed_config(),
    splitter_config=manager.get_splitter_config(),
    qgen_config=manager.get_question_gen_config(),
)


# === Intención básica
def handle_intent(etiqueta: str, motivo: str) -> str:
    if etiqueta.lower() == "neutro":
        if "saludo" in motivo.lower():
            return "👋 ¡Hola! ¿En qué puedo ayudarte hoy?"
        elif "despedida" in motivo.lower():
            return "👋 ¡Hasta luego!"
        elif "agradecimiento" in motivo.lower():
            return "😊 ¡Con gusto!"
        else:
            return "🙂 Gracias por tu mensaje."
    elif etiqueta.lower() == "negativo":
        return "⚠️ No puedo responder a eso. Por favor, intenta con algo relacionado al estatuto."
    return ""


DEV_MODE = False  # Cambia a True si quieres ver rutas de archivo en las fuentes


def extract_sources(nodes):
    fuentes = []
    for i, node in enumerate(nodes):
        meta = node.metadata or {}
        fuente = {
            "documento": meta.get("file_name", "Desconocido"),
            "página": meta.get("num_page", "¿?"),
            "autor": meta.get("Author", "Autor desconocido"),
            "fecha": meta.get("creation_date", "Sin fecha"),
            "ruta": meta.get("file_path", "No disponible")
        }

        fuente_md = (
            f"**[{i + 1}] {fuente['documento']}**\n"
            f"> 📄 Página: `{fuente['página']}`\n"
            f"> ✍️ Autor: *{fuente['autor']}*\n"
            f"> 🗓️ Fecha de creación: {fuente['fecha']}"
        )

        if DEV_MODE:
            fuente_md += f"\n> 🧪 Ruta (debug): `{fuente['ruta']}`"

        fuentes.append(fuente_md)

    return "\n\n".join(fuentes) if fuentes else "⚠️ No se encontraron fuentes relevantes."


def detectar_intencion(query: str) -> str:
    try:
        result = pipeline.service_context.llm.predict(
            prompt=PROMT_USER_INTENT_TREE,
            query_str=query
        )
        cleaned = re.sub(r"```(?:json)?|```", "", result).strip()
        parsed = json.loads(cleaned)
        etiqueta = parsed.get("etiqueta", "").lower()
        motivo = parsed.get("motivo", "").lower()
        return handle_intent(etiqueta, motivo)
    except Exception as e:
        print("⚠️ Error al detectar intención:", e)
        return ""


def bot(history, use_intent, use_subq):
    user_msg = next(
        (m["content"] for m in reversed(history) if m["role"] == "user" and isinstance(m["content"], str)),
        None
    )
    if not user_msg:
        return history, gr.update(visible=False), *[gr.update(visible=False)] * 10

    try:
        if use_intent:
            intent_reply = detectar_intencion(user_msg)
            if intent_reply:
                history.append({"role": "assistant", "content": ""})
                for char in intent_reply:
                    history[-1]["content"] += char
                    time.sleep(0.05)
                    yield history, gr.update(visible=False), *[gr.update(visible=False)] * 10
                return
    except Exception as e:
        print("⚠️ Error interpretando intención:", e)

    response, nodes = pipeline.main(user_msg)
    history.append({"role": "assistant", "content": ""})

    if isinstance(response, StreamingResponse):
        for char in response.response_gen:
            history[-1]["content"] += char
            time.sleep(0.02)
            yield history, gr.update(visible=False), *[gr.update(visible=False)] * 10

        subquestions = qgen_pipeline.run(user_msg, nodes) if use_subq else []

        fuentes_md = extract_sources(nodes)
        history[-1]["sources"] = fuentes_md

        subq_updates = [
            gr.update(value=q, visible=True) if i < len(subquestions) else gr.update(visible=False)
            for i, q in enumerate(subquestions + [""] * (10 - len(subquestions)))
        ]

        yield history, gr.update(value=f"📚 **Fuentes:**\n{fuentes_md}", visible=True), *subq_updates


def add_message(history, msg_text):
    history.append({"role": "user", "content": msg_text})
    return history, ""


# === Toggle panel visibility
def toggle_config(is_visible):
    return not is_visible, gr.update(visible=not is_visible)


# === Estilo CSS
css = """
body {
    background-color: #f8fafc;
    font-family: 'Segoe UI', sans-serif;
}

.gr-chatbot {
    background-color: #ffffff;
    border: 1px solid #d1fae5;
    border-radius: 12px;
    padding: 10px;
    box-shadow: 0 4px 12px rgba(0,0,0,0.03);
}

.gr-textbox {
    border-radius: 10px !important;
    border: 1px solid #a7f3d0;
    padding: 10px;
    flex-grow: 1;
}

.gr-button.enviar {
    background-color: #2ecc71;
    color: white;
    font-weight: 600;
    border-radius: 10px !important;
    padding: 10px 18px;
    margin-left: 8px;
    transition: background-color 0.3s ease;
}
.gr-button.enviar:hover {
    background-color: #27ae60;
}

.gr-markdown {
    background-color: #ecfdf5;
    border-left: 4px solid #10b981;
    padding: 10px;
    margin-top: 10px;
    border-radius: 8px;
    color: #064e3b;
    font-size: 15px;
}

.gr-button.subq {
    background-color: #d1fae5;
    border: none;
    padding: 8px 14px;
    border-radius: 9999px;
    cursor: pointer;
    font-size: 14px;
    margin: 4px 6px 0 0;
    transition: background-color 0.3s, transform 0.1s;
    box-shadow: 0 1px 2px rgba(0,0,0,0.05);
}
.gr-button.subq:hover {
    background-color: #a7f3d0;
    transform: scale(1.05);
}

#floating-config-wrapper {
    position: fixed;
    bottom: 20px;
    right: 20px;
    z-index: 9999;
    display: inline-flex;
    flex-direction: column;
    align-items: flex-end;
    width: auto;           /* 👈 no ocupar ancho completo */
    max-width: 250px;      /* 👈 ancho controlado */
    # pointer-events: none;  /* 👈 deja pasar clics fuera del botón y panel */
}

#config-btn {
    all: unset;                      /* 🚫 Quita todos los estilos por defecto */
    display: flex;
    justify-content: center;
    align-items: center;
    width: 40px;
    height: 40px;
    font-size: 22px;
    background-color: transparent;  /* 🟢 Sin fondo */
    color: #2ecc71;                 /* 🟢 Verde icono */
    border-radius: 50%;
    cursor: pointer;
    transition: background-color 0.2s ease;
}

#config-btn:hover {
    background-color: #d1fae5;       /* 🟢 Suave fondo al pasar el mouse */
}


#config-panel {
    background-color: #ecfdf5;
    border: 1px solid #a7f3d0;
    border-radius: 10px;
    padding: 12px;
    min-width: 220px;
    box-shadow: 0 6px 16px rgba(0,0,0,0.1);
    font-size: 14px;
    color: #064e3b;
}

#zonia-header h1 {
    font-family: 'Segoe UI', sans-serif;
    font-weight: bold;
}

#zonia-header p {
    font-family: 'Segoe UI', sans-serif;
}

.gr-chatbot {
    background: white;
    border-radius: 16px;
    border: 1px solid #d1fae5;
    box-shadow: 0 4px 14px rgba(0,0,0,0.05);
    padding: 12px;
    margin-bottom: 12px;
}

.gr-chatbot .message.user {
    background-color: #e0f2f1;
    border-radius: 12px;
    padding: 10px;
    margin: 6px 0;
    font-weight: 500;
    color: #065f46;
}

.gr-chatbot .message.assistant {
    background-color: #ecfdf5;
    border-radius: 12px;
    padding: 10px;
    margin: 6px 0;
    color: #065f46;
    border-left: 4px solid #10b981;
}

.gr-chatbot .message {
    font-family: 'Segoe UI', sans-serif;
    font-size: 15px;
    line-height: 1.6;
}

.gr-chatbot .avatar {
    display: none; /* Oculta los avatares si los hay */
}


"""

# === Interfaz
with gr.Blocks(css=css) as app:
    gr.Markdown(
        """
        <div style='padding: 1rem 1.5rem; border-radius: 12px; background: #ecfdf5; border-left: 5px solid #10b981; margin-bottom: 1.5rem'>
            <h1 style='margin: 0; font-size: 26px; color: #065f46;'>🤖 ZONIA</h1>
            <p style='margin: 0.3rem 0 0; font-size: 15px; color: #065f46;'>Un asistente inteligente para consultar estatutos de posgrado y reglamentos estudiantiles. Esta interfaz es una prueba para evaluación de usuarios.</p>
        </div>
        """,
        elem_id="zonia-header"
    )

    config_visible = gr.State(False)
    toggle_intent = gr.Checkbox(visible=False, value=True, label="intent_flag")
    toggle_subq = gr.Checkbox(visible=False, value=True, label="subq_flag")

    chatbot = gr.Chatbot(label="Conversación", type="messages", show_copy_button=True)
    state = gr.State([])

    sources_md = gr.Markdown(visible=False)
    subq_buttons = [gr.Button(visible=False, elem_classes="subq") for _ in range(10)]

    # Input + enviar
    with gr.Row():
        msg = gr.Textbox(placeholder="Haz tu pregunta...")
        enviar = gr.Button("Enviar", elem_classes="enviar")

    # Botón de configuración y panel flotante
    with gr.Group(elem_id="floating-config-wrapper"):
        show_config_btn = gr.Button("⚙️", elem_id="config-btn")
        with gr.Column(visible=False, elem_id="config-panel") as config_panel:
            gr.Markdown("### ⚙️ Configuración")
            intent_checkbox = gr.Checkbox(label="Activar intención", value=True)
            subq_checkbox = gr.Checkbox(label="Activar subpreguntas", value=True)


    # Función toggle y sync
    def toggle_panel(is_visible): return not is_visible, gr.update(visible=not is_visible)


    def sync_flags(i, s): return i, s


    show_config_btn.click(toggle_panel, inputs=[config_visible], outputs=[config_visible, config_panel])
    intent_checkbox.change(sync_flags, [intent_checkbox, subq_checkbox], [toggle_intent, toggle_subq])
    subq_checkbox.change(sync_flags, [intent_checkbox, subq_checkbox], [toggle_intent, toggle_subq])

    # Submit por enter
    msg.submit(add_message, [state, msg], [state, msg]).then(
        bot, [state, toggle_intent, toggle_subq], [chatbot, sources_md] + subq_buttons
    )

    # Submit por botón
    enviar.click(add_message, [state, msg], [state, msg]).then(
        bot, [state, toggle_intent, toggle_subq], [chatbot, sources_md] + subq_buttons
    )

    # Subpreguntas
    for btn in subq_buttons:
        btn.click(lambda txt, h: add_message(h, txt), [btn, state], [state, msg]).then(
            bot, [state, toggle_intent, toggle_subq], [chatbot, sources_md] + subq_buttons
        )

app.launch(True)