#!/usr/local/bin/python3.13
#
# Copyright 2007,2008,2011 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# SPDX-License-Identifier: GPL-3.0-or-later
#
#

import numpy

try:
    from pylab import (
        Button,
        ceil,
        connect,
        draw,
        figtext,
        figure,
        show,
        get_current_fig_manager,
        rcParams,
        searchsorted,
    )
    from matplotlib.font_manager import fontManager, FontProperties
except ImportError:
    print(
        "Please install Python Matplotlib (http://matplotlib.sourceforge.net/) and \
           Python TkInter https://wiki.python.org/moin/TkInter to run this script"
    )
    raise SystemExit(1)

from argparse import ArgumentParser


class draw_constellation:
    def __init__(self, filename, options):
        self.hfile = open(filename, "r")
        self.block_length = options.block
        self.start = options.start
        self.sample_rate = options.sample_rate

        self.datatype = numpy.complex64
        # number of bytes per sample in file
        self.sizeof_data = self.datatype().nbytes

        self.axis_font_size = 16
        self.label_font_size = 18
        self.title_font_size = 20

        # Setup PLOT
        self.fig = figure(1, figsize=(16, 9), facecolor="w")
        rcParams["xtick.labelsize"] = self.axis_font_size
        rcParams["ytick.labelsize"] = self.axis_font_size

        self.text_file = figtext(
            0.10, 0.95, ("File: %s" % filename), weight="heavy", size=16
        )
        self.text_file_pos = figtext(
            0.10, 0.90, "File Position: ", weight="heavy", size=16
        )
        self.text_block = figtext(
            0.40, 0.90, ("Block Size: %d" % self.block_length), weight="heavy", size=16
        )
        self.text_sr = figtext(
            0.60,
            0.90,
            ("Sample Rate: %.2f" % self.sample_rate),
            weight="heavy",
            size=16,
        )
        self.make_plots()

        self.button_left_axes = self.fig.add_axes(
            [0.45, 0.01, 0.05, 0.05], frameon=True
        )
        self.button_left = Button(self.button_left_axes, "<")
        self.button_left_callback = self.button_left.on_clicked(
            self.button_left_click)

        self.button_right_axes = self.fig.add_axes(
            [0.50, 0.01, 0.05, 0.05], frameon=True
        )
        self.button_right = Button(self.button_right_axes, ">")
        self.button_right_callback = self.button_right.on_clicked(
            self.button_right_click
        )

        self.xlim = self.sp_iq.get_xlim()

        self.manager = get_current_fig_manager()
        connect("draw_event", self.zoom)
        connect("key_press_event", self.click)
        connect("button_press_event", self.mouse_button_callback)
        show()

    def get_data(self):
        self.text_file_pos.set_text(
            "File Position: %d" % (self.hfile.tell() // self.sizeof_data)
        )
        try:
            iq = numpy.fromfile(
                self.hfile, dtype=self.datatype, count=self.block_length
            )
        except MemoryError:
            print("End of File")
        else:
            # retesting length here as newer version of numpy does not throw a MemoryError, just
            # returns a zero-length array
            if len(iq) > 0:
                self.reals = numpy.array([r.real for r in iq])
                self.imags = numpy.array([i.imag for i in iq])

                self.time = numpy.array(
                    [i * (1 / self.sample_rate)
                     for i in range(len(self.reals))]
                )
                return True
            else:
                print("End of File")
                return False

    def make_plots(self):
        # if specified on the command-line, set file pointer
        self.hfile.seek(self.sizeof_data * self.start, 1)

        r = self.get_data()

        # Subplot for real and imaginary parts of signal
        self.sp_iq = self.fig.add_subplot(
            2, 1, 1, position=[0.075, 0.2, 0.4, 0.6])
        self.sp_iq.set_title(
            ("I&Q"), fontsize=self.title_font_size, fontweight="bold")
        self.sp_iq.set_xlabel(
            "Time (s)", fontsize=self.label_font_size, fontweight="bold"
        )
        self.sp_iq.set_ylabel(
            "Amplitude (V)", fontsize=self.label_font_size, fontweight="bold"
        )
        self.plot_iq = self.sp_iq.plot(
            self.time, self.reals, "bo-", self.time, self.imags, "ro-"
        )

        # Subplot for constellation plot
        self.sp_const = self.fig.add_subplot(
            2, 2, 1, position=[0.575, 0.2, 0.4, 0.6])
        self.sp_const.set_title(
            ("Constellation"), fontsize=self.title_font_size, fontweight="bold"
        )
        self.sp_const.set_xlabel(
            "Inphase", fontsize=self.label_font_size, fontweight="bold"
        )
        self.sp_const.set_ylabel(
            "Quadrature", fontsize=self.label_font_size, fontweight="bold"
        )
        self.plot_const = self.sp_const.plot(self.reals, self.imags, "bo")

        # Add plots to mark current location of point between time and
        # constellation plots
        self.indx = 0
        self.plot_iq += self.sp_iq.plot(
            [
                self.time[self.indx],
            ],
            [
                self.reals[self.indx],
            ],
            "mo",
            ms=8,
        )
        self.plot_iq += self.sp_iq.plot(
            [
                self.time[self.indx],
            ],
            [
                self.imags[self.indx],
            ],
            "mo",
            ms=8,
        )
        self.plot_const += self.sp_const.plot(
            [
                self.reals[self.indx],
            ],
            [
                self.imags[self.indx],
            ],
            "mo",
            ms=12,
        )

        # Adjust axis
        self.sp_iq.axis(
            [
                self.time.min(),
                self.time.max(),
                1.5 * min([self.reals.min(), self.imags.min()]),
                1.5 * max([self.reals.max(), self.imags.max()]),
            ]
        )
        self.sp_const.axis([-2, 2, -2, 2])

        draw()

    def update_plots(self):
        self.plot_iq[0].set_data([self.time, self.reals])
        self.plot_iq[1].set_data([self.time, self.imags])
        self.sp_iq.axis(
            [
                self.time.min(),
                self.time.max(),
                1.5 * min([self.reals.min(), self.imags.min()]),
                1.5 * max([self.reals.max(), self.imags.max()]),
            ]
        )

        self.plot_const[0].set_data([self.reals, self.imags])
        self.sp_const.axis([-2, 2, -2, 2])
        draw()

    def zoom(self, event):
        newxlim = numpy.array(self.sp_iq.get_xlim())
        curxlim = numpy.array(self.xlim)
        if newxlim[0] != curxlim[0] or newxlim[1] != curxlim[1]:
            self.xlim = newxlim
            r = self.reals[int(ceil(self.xlim[0])): int(ceil(self.xlim[1]))]
            i = self.imags[int(ceil(self.xlim[0])): int(ceil(self.xlim[1]))]

            self.plot_const[0].set_data(r, i)
            self.sp_const.axis([-2, 2, -2, 2])
            self.manager.canvas.draw()
            draw()

    def click(self, event):
        forward_valid_keys = [" ", "down", "right"]
        backward_valid_keys = ["up", "left"]
        trace_forward_valid_keys = [
            ">",
        ]
        trace_backward_valid_keys = [
            "<",
        ]

        if find(event.key, forward_valid_keys):
            self.step_forward()

        elif find(event.key, backward_valid_keys):
            self.step_backward()

        elif find(event.key, trace_forward_valid_keys):
            self.indx = min(self.indx + 1, len(self.time) - 1)
            self.set_trace(self.indx)

        elif find(event.key, trace_backward_valid_keys):
            self.indx = max(0, self.indx - 1)
            self.set_trace(self.indx)

    def button_left_click(self, event):
        self.step_backward()

    def button_right_click(self, event):
        self.step_forward()

    def step_forward(self):
        r = self.get_data()
        if r:
            self.update_plots()

    def step_backward(self):
        # Step back in file position
        if self.hfile.tell() >= 2 * self.sizeof_data * self.block_length:
            self.hfile.seek(-2 * self.sizeof_data * self.block_length, 1)
        else:
            self.hfile.seek(-self.hfile.tell(), 1)
        r = self.get_data()
        if r:
            self.update_plots()

    def mouse_button_callback(self, event):
        x, y = event.xdata, event.ydata

        if x is not None and y is not None:
            if event.inaxes == self.sp_iq:
                self.indx = searchsorted(self.time, [x])
                self.set_trace(self.indx)

    def set_trace(self, indx):
        self.plot_iq[2].set_data(self.time[indx], self.reals[indx])
        self.plot_iq[3].set_data(self.time[indx], self.imags[indx])
        self.plot_const[1].set_data(self.reals[indx], self.imags[indx])
        draw()


def find(item_in, list_search):
    try:
        return list_search.index(item_in) is not None
    except ValueError:
        return False


def main():
    description = "Takes a GNU Radio complex binary file and displays the I&Q data versus time and the constellation plot (I vs. Q). You can set the block size to specify how many points to read in at a time and the start position in the file. By default, the system assumes a sample rate of 1, so in time, each sample is plotted versus the sample number. To set a true time axis, set the sample rate (-R or --sample-rate) to the sample rate used when capturing the samples."

    parser = ArgumentParser(conflict_handler="resolve",
                            description=description)
    parser.add_argument(
        "-B",
        "--block",
        type=int,
        default=1000,
        help="Specify the block size [default=%(default)r]",
    )
    parser.add_argument(
        "-s",
        "--start",
        type=int,
        default=0,
        help="Specify where to start in the file [default=%(default)r]",
    )
    parser.add_argument(
        "-R",
        "--sample-rate",
        type=float,
        default=1.0,
        help="Set the sampler rate of the data [default=%(default)r]",
    )
    parser.add_argument("file", metavar="FILE",
                        help="Input file with complex samples")
    args = parser.parse_args()

    dc = draw_constellation(args.file, args)


if __name__ == "__main__":
    try:
        main()
    except KeyboardInterrupt:
        pass
