import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

from typing import List

class bcolors:
    PURPLE = '\033[95m'
    BLUE = '\033[94m'
    GREEN = '\033[92m'
    WARNING = '\033[93m'
    RED = '\033[91m'
    ENDC = '\033[0m'
    BOLD = '\033[1m'
    UNDERLINE = '\033[4m'

    
def plot_ranks(r1: List, r2: List, r1_label: str, r2_label: str, output: str) -> plt.axes:
    """
    e.g.:
    df = rank_data(true_ranking, ranking, "actual", "predicted", "output")
    """

    items = list(set(r1 + r2))
    xs = []

    for i in items:
        for lbl, l in zip((r1_label, r2_label), (r1, r2)):
            try:
                x = l.index(i)
            except ValueError:
                x = np.nan

            xs.append({"item": i, "version": lbl, "rank": x + 1})

    df = pd.DataFrame(xs).pivot(index="item", columns="version", values="rank").T

    fig = plt.figure(figsize=(5, 10))
    bumpchart(
        df,
        show_rank_axis=False,
        scatter=True,
        ax=fig.gca(),
        holes=False,
        line_args={"linewidth": 5, "alpha": 0.5},
        scatter_args={"s": 100, "alpha": 0.8},
    )
    
    plt.savefig(f"{output}.png", dpi=150, bbox_inches="tight")
    return fig

def bumpchart(
    df,
    show_rank_axis=True,
    rank_axis_distance=1.1,
    ax=None,
    scatter=False,
    holes=False,
    line_args={},
    scatter_args={},
    hole_args={},
):
    if ax is None:
        left_yaxis = plt.gca()
    else:
        left_yaxis = ax

    # Creating the right axis.
    right_yaxis = left_yaxis.twinx()

    axes = [left_yaxis, right_yaxis]

    # Creating the far right axis if show_rank_axis is True
    if show_rank_axis:
        far_right_yaxis = left_yaxis.twinx()
        axes.append(far_right_yaxis)

    for col in df.columns:
        y = df[col]
        x = df.index.values
        # Plotting blank points on the right axis/axes
        # so that they line up with the left axis.
        for axis in axes[1:]:
            axis.plot(x, y, alpha=0)

        left_yaxis.plot(x, y, **line_args, solid_capstyle="round")

        # Adding scatter plots
        if scatter:
            left_yaxis.scatter(x, y, **scatter_args)

            # Adding see-through holes
            if holes:
                bg_color = left_yaxis.get_facecolor()
                left_yaxis.scatter(x, y, color=bg_color, **hole_args)

    # Number of lines
    lines = len(df.columns)

    y_ticks = [*range(1, lines + 1)]

    # Configuring the axes so that they line up well.
    for axis in axes:
        axis.invert_yaxis()
        axis.set_yticks(y_ticks)
        axis.set_ylim((lines + 0.5, 0.5))

    # Sorting the labels to match the ranks.
    left_labels = df.iloc[0].sort_values().index
    right_labels = df.iloc[-1].sort_values().index

    left_yaxis.set_yticklabels(left_labels)
    right_yaxis.set_yticklabels(right_labels)

    # Setting the position of the far right axis so that it doesn't overlap with the right axis
    if show_rank_axis:
        far_right_yaxis.spines["right"].set_position(("axes", rank_axis_distance))

    return axes