"""Dashboard interactivo para pm-dashboard — Streamlit."""
import streamlit as st
import pandas as pd
import sys
import os

sys.path.insert(0, os.path.dirname(__file__))

from airtable_client import AirtableClient

st.set_page_config(
    page_title="PM Dashboard",
    layout="wide",
    initial_sidebar_state="expanded",
)


@st.cache_data(ttl=300, show_spinner="Cargando datos de Airtable...")
def _load_data():
    at = AirtableClient()
    return {
        "projects": at.get_projects(),
        "tasks": at.get_tasks(),
        "clients": at.get_clients(),
        "areas": at.get_areas(),
    }


data = _load_data()

client_name_by_id = {c["id"]: (c["display_name"] or c["company_name"]) for c in data["clients"]}
project_name_by_id = {p["id"]: p["project"] for p in data["projects"]}
area_name_by_id = {a["id"]: a["area"] for a in data["areas"]}

st.title("📊 PM Dashboard")

tab_proyectos, tab_tareas, tab_clientes, tab_areas = st.tabs(
    ["📁 Proyectos", "✅ Tareas", "👥 Clientes", "🗂️ Áreas"]
)

# ── Proyectos ─────────────────────────────────────────────────────────────── #

with tab_proyectos:
    df = pd.DataFrame(data["projects"])
    if df.empty:
        st.info("No hay proyectos.")
    else:
        df["client"] = df["client_ids"].apply(
            lambda ids: ", ".join(client_name_by_id.get(i, "") for i in ids)
        )

        col1, col2 = st.columns(2)
        status_filter = col1.multiselect("Status", sorted(df["status"].dropna().unique()))
        client_filter = col2.multiselect("Cliente", sorted(client_name_by_id.values()))

        view = df.copy()
        if status_filter:
            view = view[view["status"].isin(status_filter)]
        if client_filter:
            view = view[view["client"].apply(lambda c: any(cf in c for cf in client_filter))]

        st.dataframe(
            view[["project", "status", "client", "project_lead", "kickoff_date", "due_date", "budget", "internal"]],
            use_container_width=True,
            hide_index=True,
        )
        st.caption(f"{len(view)} de {len(df)} proyectos")

# ── Tareas ────────────────────────────────────────────────────────────────── #

with tab_tareas:
    df = pd.DataFrame(data["tasks"])
    if df.empty:
        st.info("No hay tareas.")
    else:
        df["project"] = df["project_ids"].apply(
            lambda ids: ", ".join(project_name_by_id.get(i, "") for i in ids)
        )
        df["area"] = df["area_ids"].apply(
            lambda ids: ", ".join(area_name_by_id.get(i, "") for i in ids)
        )
        df["assigned"] = df["assigned_to"].apply(lambda names: ", ".join(names))

        col1, col2, col3 = st.columns(3)
        status_filter = col1.multiselect("Status", sorted(df["status"].dropna().unique()))
        prioridad_filter = col2.multiselect("Prioridad", sorted(df["prioridad"].dropna().unique()))
        assigned_filter = col3.multiselect(
            "Asignado a", sorted({n for names in df["assigned_to"] for n in names})
        )

        view = df.copy()
        if status_filter:
            view = view[view["status"].isin(status_filter)]
        if prioridad_filter:
            view = view[view["prioridad"].isin(prioridad_filter)]
        if assigned_filter:
            view = view[view["assigned"].apply(lambda a: any(af in a for af in assigned_filter))]

        st.dataframe(
            view[["task", "project", "area", "status", "prioridad", "assigned", "due_date", "horas_estimadas"]],
            use_container_width=True,
            hide_index=True,
        )
        st.caption(f"{len(view)} de {len(df)} tareas")

# ── Clientes ──────────────────────────────────────────────────────────────── #

with tab_clientes:
    df = pd.DataFrame(data["clients"])
    if df.empty:
        st.info("No hay clientes.")
    else:
        df["n_proyectos"] = df["project_ids"].apply(len)
        df["n_tareas"] = df["task_ids"].apply(len)
        st.dataframe(
            df[["display_name", "company_name", "n_proyectos", "n_tareas"]],
            use_container_width=True,
            hide_index=True,
        )

# ── Áreas ─────────────────────────────────────────────────────────────────── #

with tab_areas:
    df = pd.DataFrame(data["areas"])
    if df.empty:
        st.info("No hay áreas.")
    else:
        df["n_tareas"] = df["task_ids"].apply(len)
        st.dataframe(
            df[["area", "descripcion", "n_tareas"]],
            use_container_width=True,
            hide_index=True,
        )