"""This is the scatter plot module 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 ScatterPlotPlugin(BasePlotPlugin):
    """Scatter plot plugin for AI Dashboard."""

    name = "Scatter Plot"

    def dropdown(self, id_suffix: str, label: str, option: List[str]) -> Any:
        """Generate a dropdown for plot controls."""
        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 option],  # type: ignore
                    value=option[0],
                    clearable=False,
                    persistence=True,
                    persistence_type="memory",
                    style={"color": "#000"},
                ),
            ],
            style={"width": "130px"},
        )

    def controls(self) -> Any:
        """Connect the scatter plot plugin to the Dash app."""
        nums = self.numeric_columns()
        cats = self.categorical_columns()
        all_cols = nums + cats
        return html.Div(
            [
                self.dropdown("x", "X-Axis", nums),
                self.dropdown("y", "Y-Axis", nums),
                self.dropdown("size", "Size", nums),
                self.dropdown("color", "Color", all_cols),
                self.dropdown("hover", "Hover", all_cols),
            ],
            style={"display": "flex", "flexWrap": "wrap"},
        )

    def render(self, **kwargs: Any) -> Any:
        """Render the scatter plot."""
        x_axis = kwargs.get("x_axis")
        y_axis = kwargs.get("y_axis")
        size_axis = kwargs.get("size_axis")
        color_axis = kwargs.get("color_axis")
        hover_axis = kwargs.get("hover_axis")
        fig = px.scatter(
            self.dataframe,
            x=x_axis,
            y=y_axis,
            size=size_axis if size_axis in self.dataframe.columns else None,
            color=color_axis if color_axis in self.dataframe.columns else None,
            hover_name=hover_axis if hover_axis in self.dataframe.columns else None,
            log_x=True,
            size_max=60,
        )
        return dcc.Graph(figure=fig)

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

        @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": "size"}, "value"),
            Input({"type": "control", "plot": self.name, "axis": "color"}, "value"),
            Input({"type": "control", "plot": self.name, "axis": "hover"}, "value"),
        )
        def update_scatter(
            x_axis: str, y_axis: str, size_axis: str, color_axis: str, hover_axis: str
        ) -> Any:
            """Update the scatter plot based on user input."""
            return self.render(
                x_axis=x_axis,
                y_axis=y_axis,
                size_axis=size_axis,
                color_axis=color_axis,
                hover_axis=hover_axis,
            )