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

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

app = Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

app.layout = dbc.Container([
    html.H1("Dashboard em Dash", className="my-4"),

    dbc.Row([
        dbc.Col([
            html.Label("Escolhe a métrica:"),
            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.H4("Total", className="card-title"),
                html.H2(id="total-card")
            ])
        ]), md=4),

        dbc.Col(dbc.Card([
            dbc.CardBody([
                html.H4("Média", className="card-title"),
                html.H2(id="media-card")
            ])
        ]), md=4),

        dbc.Col(dbc.Card([
            dbc.CardBody([
                html.H4("Máximo", className="card-title"),
                html.H2(id="max-card")
            ])
        ]), 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"},
                page_size=5
            )
        ], md=4)
    ])
], fluid=True)


@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


if __name__ == "__main__":
    app.run(debug=True)