src/ai_dashboard/plot_plugin/regression_line.py

"""Regression Plot plugin for AI-Dashboard"""

# pylint: disable=R0801
from typing import Any, List
import logging

import plotly.express as px
from dash import html, dcc
from dash.dependencies import Input, Output

from ..base import BasePlotPlugin

logger = logging.getLogger(__name__)


class RegressionPlotPlugin(BasePlotPlugin):
    """Scatter + regression line plot plugin."""

    name = "Regression Plot"

    def dropdown(self, axis: str, label: str, options: List[str]) -> Any:
        """Create a dropdown control for the given axis."""
        return html.Div(
            [
                html.Label(label),
                dcc.Dropdown(
                    id={"type": "control", "plot": self.name, "axis": axis},
                    options=[{"label": c, "value": c} for c in options],  # type: ignore
                    value=options[0],
                    clearable=False,
                    persistence=True,
                    persistence_type="memory",
                    style={"color": "#000"},
                ),
            ],
            style={"width": "130px"},
        )

    def controls(self) -> Any:
        """Render the control panel for the plot."""
        nums = self.numeric_columns()
        cats = self.categorical_columns()
        return html.Div(
            [
                self.dropdown("x", "X-Axis (numeric)", nums),
                self.dropdown("y", "Y-Axis (numeric)", nums),
                self.dropdown("color", "Color By", nums + cats),
            ],
            style={"display": "flex", "flexDirection": "column"},
        )

    def render(self, **kwargs: Any) -> Any:
        """Render the regression plot based on selected axes."""
        x = kwargs.get("x_axis")
        y = kwargs.get("y_axis")
        color = kwargs.get("color_axis")

        fig = px.scatter(
            self.dataframe,
            x=x,
            y=y,
            color=color if color in self.dataframe.columns else None,
            trendline="ols",
        )
        return dcc.Graph(figure=fig)

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

        @app.callback(  # type: ignore
            Output({"type": "plot-output", "plot": self.name}, "children"),
            Input({"type": "control", "plot": self.name, "axis": "x"}, "value"),
            Input({"type": "control", "plot": self.name, "axis": "y"}, "value"),
            Input({"type": "control", "plot": self.name, "axis": "color"}, "value"),
        )
        def update(x_axis: str, y_axis: str, color_axis: str) -> Any:
            """Update the regression plot based on user selections."""
            return self.render(
                x_axis=x_axis,
                y_axis=y_axis,
                color_axis=color_axis,
            )