from numpy import column_stack, array, max as np_max
from SciDataTool.Functions.Plot.plot_2D import plot_2D
from SciDataTool.Functions.conversions import rphiz_to_xyz


def plot_2D_Data(
    self,
    *arg_list,
    radius=None,
    is_norm=False,
    unit="SI",
    component_list=None,
    data_list=[],
    legend_list=[],
    color_list=None,
    curve_colors=None,
    phase_colors=None,
    linestyles=None,
    linewidth_list=[2],
    save_path=None,
    x_min=None,
    x_max=None,
    y_min=None,
    y_max=None,
    is_logscale_x=False,
    is_logscale_y=False,
    is_disp_title=True,
    is_grid=True,
    is_auto_ticks=True,
    is_auto_range=False,
    fig=None,
    ax=None,
    barwidth=100,
    type_plot=None,
    fund_harm_dict=None,
    is_show_fig=None,
    win_title=None,
    thresh=0.02,
    font_name="arial",
    font_size_title=12,
    font_size_label=10,
    font_size_legend=8,
    scale_units="x",
    scale=None,
    width=0.005,

):
    """Plots a field as a function of time

    Parameters
    ----------
    self : Output
        an Output object
    Data_str : str
        name of the Data Object to plot (e.g. "mag.Br")
    *arg_list : list of str
        arguments to specify which axes to plot
    radius : float
        radius used for quiver plot
    is_norm : bool
        boolean indicating if the field must be normalized
    unit : str
        unit in which to plot the field
    data_list : list
        list of Data objects to compare
    component_list : list
        list of component names to plot in separate figures
    legend_list : list
        list of legends to use for each Data object (including reference one) instead of data.name
    color_list : list
        list of colors to use for each Data object
    save_path : str
        full path of the png file where the figure is saved if save_path is not None
    x_min : float
        minimum value for the x-axis
    x_max : float
        maximum value for the x-axis
    y_min : float
        minimum value for the y-axis
    y_max : float
        maximum value for the y-axis
    is_logscale_x : bool
        boolean indicating if the x-axis must be set in logarithmic scale
    is_logscale_y : bool
        boolean indicating if the y-axis must be set in logarithmic scale
    is_disp_title : bool
        boolean indicating if the title must be displayed
    is_grid : bool
        boolean indicating if the grid must be displayed
    is_auto_ticks : bool
        in fft, adjust ticks to freqs (deactivate if too close)
    is_auto_range : bool
        in fft, display up to 1% of max
    fig : Matplotlib.figure.Figure
        existing figure to use if None create a new one
    ax : Matplotlib.axes.Axes object
        ax on which to plot the data
    barwidth : float
        barwidth scaling factor, only if type_plot = "bargraph"
    type_plot : str
        type of 2D graph : "curve", "bargraph", "barchart" or "quiver"
    fund_harm_dict : dict
        Dict containing axis name as key and frequency/order/wavenumber of fundamental harmonic as value to display fundamental harmonic in red in the fft
    is_show_fig : bool
        True to show figure after plot
    thresh : float
        threshold for automatic fft ticks
    scale_units : str
        arrow lenght scale factor reference {'width', 'height', 'dots', 'pouces', 'x', 'y', 'xy'}
    scale : float
        arrow length factor
    width : float
        arrow width factor 
    """

    # Special case of quiver plot
    if type_plot == "quiver":
        result = self.get_xyz_along(arg_list)
        if "x" in result and "y" in result:
            Xdatas = column_stack((result["x"], result["y"]))
        else:
            if radius is None:
                radius = 1
            phi = result["angle"]
            rphi = column_stack((array([radius] * len(phi)), phi))
            Xdatas = rphiz_to_xyz(rphi)
        Ydatas = column_stack((result["comp_x"], result["comp_y"]))
        # Normalize Ydatas
        # Ydatas = Ydatas / (np_max(Ydatas) * 0.001 * radius)
        plot_2D(
            [Xdatas],
            [Ydatas],
            color_list=color_list,
            linestyle_list=linestyles,
            linewidth_list=linewidth_list,
            title=self.name.capitalize() + " quiver plot",
            legend_list=[self.name],
            xlabel="[m]",
            ylabel="[m]",
            fig=fig,
            ax=ax,
            type_plot="quiver",
            save_path=save_path,
            is_show_fig=is_show_fig,
            win_title=win_title,
            font_name=font_name,
            font_size_title=font_size_title,
            font_size_label=font_size_label,
            font_size_legend=font_size_legend,
            is_grid=False,
            scale_units=scale_units,
            scale=scale,
            width=width,
        )

    else:

        # Call the plot on each component
        if component_list is None:  # default: extract all components
            component_list = self.components.keys()
        for i, comp in enumerate(component_list):
            # (fig, axes, patch_leg, label_leg) = init_fig(None, shape="rectangle")

            if save_path is not None and len(component_list) > 1:
                save_path_comp = (
                    save_path.split(".")[0] + "_" + comp + "." + save_path.split(".")[1]
                )
            else:
                save_path_comp = save_path

            self.components[comp].plot_2D_Data(
                arg_list,
                is_norm=is_norm,
                unit=unit,
                data_list=[dat.components[comp] for dat in data_list],
                legend_list=legend_list,
                color_list=color_list,
                save_path=save_path_comp,
                x_min=x_min,
                x_max=x_max,
                y_min=y_min,
                y_max=y_max,
                is_logscale_x=is_logscale_x,
                is_logscale_y=is_logscale_y,
                is_disp_title=is_disp_title,
                is_grid=is_grid,
                is_auto_ticks=is_auto_ticks,
                is_auto_range=is_auto_range,
                fig=fig,
                ax=ax,
                barwidth=barwidth,
                type_plot=type_plot,
                fund_harm_dict=fund_harm_dict,
                is_show_fig=is_show_fig,
                thresh=thresh,
                font_name=font_name,
                font_size_title=font_size_title,
                font_size_label=font_size_label,
                font_size_legend=font_size_legend,
            )
