#!/usr/bin/env python3
#
# polar-plot
#
# Copyright (C) 2022, 2023, Jeff Moe
# Copyright (C) 2023, Cees Bassa
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
# polar_plot
# Generate graphical plot of radio interference.
#
# Usage:
# polar_plot [filename]
#
# Example:
# ./polar-plot data/sample.csv
# ./polar-plot data/rtl_power-sample.csv

import argparse
import locale
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import re
import seaborn as sns
import sys

locale.setlocale(locale.LC_ALL, "en_US.utf8")
plt.rcParams["axes.formatter.use_locale"] = True


def load_samples():
    parser = argparse.ArgumentParser(
        description="Radio Interference Polar Plotter.",
        formatter_class=argparse.RawTextHelpFormatter,
    )
    parser.add_argument(
        "infile",
        nargs="?",
        type=argparse.FileType("r"),
        default=sys.stdin,
        help="filename, default stdin",
    )

    args = parser.parse_args()

    datafile = args.infile.name

    with open(datafile) as f:
        firstline = f.readline().rstrip()

    if firstline == "1, -38.93":
        print("Test data from sample.csv")
        df = pd.read_csv(
            datafile, skiprows=0, usecols=[0, 1], names=("Azimuth", "Energy")
        )

    elif re.match(re.compile("20*"), firstline):
        print("rtl_power CSV file. Not yet supported.")
        exit()

    else:
        print("Unknown file type.")
        exit()

    return(df)


def print_table(df):
    # Print the Dataframe loaded from CSV
    with pd.option_context("display.max_rows", None, "display.max_columns", None):
        print(df)


def display_plot():
    # (Empty) Plot here
    sns.set_theme()
    fig = plt.figure(figsize=(8, 8), facecolor="xkcd:off white")
    ax = fig.add_subplot(111, projection="polar")
    ax.set_facecolor("xkcd:powder blue")

    ax.set_title(
        "Radio Interference Polar Plot".format("seaborn"),
        color="xkcd:cornflower blue",
        fontsize="large",
        fontweight="bold",
    )

    ax.set_theta_offset(np.pi / 2.0)
    ax.set_rticks([90, 60, 30, 0])
    ax.set_rgrids([90, 60, 30, 0], ["", "30$^\circ$", "60$^\circ$", ""], angle=22.5)
    ax.grid(True)
    ax.bar(0, 90).remove()
    ax.set_rmax(90.0)
    ax.set_ylim(0.0, 90.0)
    plt.tight_layout()
    plt.show()


def main():
    df = load_samples()
    print_table(df)
    display_plot()


if __name__ == "__main__":
    main()