src/ai_dashboard/plot_plugin/scatter_matrix.py

"""Scatter Matrix plugin"""

# pylint: disable=R0801
from typing import Any, List
import plotly.express as px
from dash import dcc, html
from dash.dependencies import Input, Output

from ..base import BasePlotPlugin


class ScatterMatrixPlugin(BasePlotPlugin):
    """Scatter Matrix Plot Plugin."""

    name = "Scatter Matrix"

    def dropdown(self, id_suffix: str, label: str, options: List[str]) -> Any:
        """Create a dropdown control."""
        return html.Div(
            [
                html.Label(label),
                dcc.Dropdown(
                    id={"type": "control", "plot": self.name, "axis": id_suffix},
                    options=[{"label": c, "value": c} for c in options],  # type: ignore
                    value=options[:3],
                    clearable=False,
                    multi=True,
                    persistence=True,
                    persistence_type="memory",
                    style={"color": "#000"},
                ),
            ],
            style={"width": "130px"},
        )

    def controls(self) -> Any:
        """Define controls for the scatter matrix plot."""
        return html.Div(
            [
                self.dropdown("cols", "Numeric Columns", self.numeric_columns()),
            ]
        )

    def render(self, **kwargs: Any) -> Any:  # pylint: disable=W0201
        """Render the scatter matrix plot."""
        cols = kwargs["cols_axis"]
        fig = px.scatter_matrix(self.dataframe[cols])
        return dcc.Graph(figure=fig)

    def register_callbacks(self, app: Any) -> None:
        """Register callbacks for the scatter matrix plot."""

        @app.callback(  # type: ignore
            Output({"type": "plot-output", "plot": self.name}, "children"),
            Input({"type": "control", "plot": self.name, "axis": "cols"}, "value"),
        )
        def update(cols_axis: str) -> Any:
            """Update scatter matrix plot based on selected columns."""
            return self.render(cols_axis=cols_axis)