from dash import Dash, html, dcc, Input, Output, dash_table
import dash_bootstrap_components as dbc
import pandas as pd
import plotly.express as px

# -----------------------------
# Dados de exemplo
# -----------------------------
df = pd.DataFrame({
    "Categoria": ["A", "B", "C", "D", "E"],
    "Vendas": [120, 200, 150, 80, 220],
    "Lucro": [30, 70, 40, 20, 90]
})

# -----------------------------
# Criar app
# -----------------------------
app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server

# -----------------------------
# Layout
# -----------------------------
app.layout = dbc.Container([
    dbc.Row([
        dbc.Col([
            html.H1("Dashboard em Dash", className="text-center my-4"),
            html.P(
                "Exemplo simples de dashboard com Dash + Bootstrap + Plotly.",
                className="text-center text-muted"
            )
        ])
    ]),

    dbc.Row([
        dbc.Col([
            html.Label("Escolhe a métrica:", className="fw-bold"),
            dcc.Dropdown(
                id="coluna-dropdown",
                options=[
                    {"label": "Vendas", "value": "Vendas"},
                    {"label": "Lucro", "value": "Lucro"}
                ],
                value="Vendas",
                clearable=False
            )
        ], md=4)
    ], className="mb-4"),

    dbc.Row([
        dbc.Col(
            dbc.Card(
                dbc.CardBody([
                    html.H5("Total", className="card-title"),
                    html.H2(id="total-card", className="text-primary")
                ])
            ),
            md=4
        ),
        dbc.Col(
            dbc.Card(
                dbc.CardBody([
                    html.H5("Média", className="card-title"),
                    html.H2(id="media-card", className="text-success")
                ])
            ),
            md=4
        ),
        dbc.Col(
            dbc.Card(
                dbc.CardBody([
                    html.H5("Máximo", className="card-title"),
                    html.H2(id="max-card", className="text-danger")
                ])
            ),
            md=4
        ),
    ], className="mb-4"),

    dbc.Row([
        dbc.Col([
            dcc.Graph(id="grafico-barras")
        ], md=8),

        dbc.Col([
            dash_table.DataTable(
                id="tabela",
                columns=[{"name": i, "id": i} for i in df.columns],
                data=df.to_dict("records"),
                style_table={"overflowX": "auto"},
                style_cell={
                    "textAlign": "center",
                    "padding": "10px"
                },
                style_header={
                    "backgroundColor": "#f8f9fa",
                    "fontWeight": "bold"
                },
                page_size=5
            )
        ], md=4)
    ])
], fluid=True)

# -----------------------------
# Callback
# -----------------------------
@app.callback(
    Output("grafico-barras", "figure"),
    Output("total-card", "children"),
    Output("media-card", "children"),
    Output("max-card", "children"),
    Input("coluna-dropdown", "value")
)
def atualizar_dashboard(coluna_escolhida):
    fig = px.bar(
        df,
        x="Categoria",
        y=coluna_escolhida,
        color="Categoria",
        title=f"{coluna_escolhida} por Categoria"
    )

    total = df[coluna_escolhida].sum()
    media = round(df[coluna_escolhida].mean(), 2)
    maximo = df[coluna_escolhida].max()

    return fig, total, media, maximo

# -----------------------------
# Run app
# -----------------------------
if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860, debug=False)