"""This module is for plotting histograms in 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 HistogramPlotPlugin(BasePlotPlugin):
    """Plugin for plotting histograms in AI-Dashboard"""

    name = "Histogram"

    def dropdown(self, id_suffix: str, label: str, options: 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 options],  # type: ignore
                    value=options[0],
                    clearable=False,
                    persistence=True,
                    persistence_type="memory",
                    style={"color": "#000"},
                ),
            ],
            style={"width": "130px"},
        )

    def controls(self) -> Any:
        """Generate plot controls."""
        nums = self.numeric_columns()
        return html.Div(
            [self.dropdown("x", "X-Axis", nums)],
            style={"display": "flex", "flexWrap": "wrap"},
        )

    def render(self, **kwargs: Any) -> Any:
        """Render the histogram plot."""
        x_axis = kwargs.get("x_axis")
        fig = px.histogram(self.dataframe, x=x_axis, nbins=20, opacity=0.75)
        return dcc.Graph(figure=fig)

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

        @app.callback(  # type: ignore
            Output({"type": "plot-output", "plot": self.name}, "children"),
            Input({"type": "control", "plot": self.name, "axis": "x"}, "value"),
        )
        def update_bar(x_axis: str) -> Any:
            """Update the bar chart based on dropdown selections."""
            return self.render(x_axis=x_axis)