#!/usr/bin/env python3
# vim: fdm=indent ts=4

import h5py
from itertools import combinations, zip_longest
import matplotlib.pyplot as plt
import numpy as np

import aa_generate_beacon as beacon
import lib

if __name__ == "__main__":
    from os import path
    import sys

    import os
    import matplotlib
    if os.name == 'posix' and "DISPLAY" not in os.environ:
        matplotlib.use('Agg')

    fname = "ZH_airshower/mysim.sry"
    c_light = lib.c_light
    show_plots = True

    remove_absolute_phase_offset_first_antenna = True # takes precedence
    remove_absolute_phase_offset_minimum = True

    ####
    fname_dir = path.dirname(fname)
    antennas_fname = path.join(fname_dir, beacon.antennas_fname)

    fig_dir = "./figures" # set None to disable saving

    if not path.isfile(antennas_fname):
        print("Antenna file cannot be found, did you try generating a beacon?")
        sys.exit(1)

    # Read in antennas from file
    f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)

    # Make sure at least one beacon has been identified
    if not hasattr(antennas[0], 'beacon_info') or len(antennas[0].beacon_info) == 0:
        print(f"No analysed beacon found for {antennas[0].name}, try running the phase analysis script first.")
        sys.exit(1)

    #
    N_beacon_freqs = len(antennas[0].beacon_info)

    for freq_name in antennas[0].beacon_info.keys():
        measured_phases = np.empty( (len(antennas)) )
        for i, ant in enumerate(antennas):
            measured_phases[i] = ant.beacon_info[freq_name]['phase']

        f_beacon = antennas[0].beacon_info[freq_name]['freq']

        true_phases = lib.remove_antenna_geometry_phase(tx, antennas, f_beacon, measured_phases, c_light=c_light)

        # Remove the phase from one antenna
        # this is a free parameter
        # (only required for absolute timing)
        if remove_absolute_phase_offset_first_antenna or remove_absolute_phase_offset_minimum:
            if remove_absolute_phase_offset_first_antenna: # just take the first phase
                minimum_phase = true_phases[0]
            else: # take the minimum
                minimum_phase = np.min(true_phases, axis=-1)

            true_phases -= minimum_phase
            true_phases = lib.phase_mod(true_phases)

        # Save to antennas in file
        with h5py.File(antennas_fname, 'a') as fp:
            h5group = fp['antennas']

            for i, ant in enumerate(antennas):
                h5ant = fp['antennas'][ant.name]

                h5beacon_freq = h5ant['beacon_info'][freq_name]
                h5beacon_freq.attrs['true_phase'] = true_phases[i]

        # Plot True Phases at their locations
        if show_plots or fig_dir:
            fig, ax = plt.subplots()
            spatial_unit='m'
            fig.suptitle('Clock phases\nf_beacon= {:2.0f}MHz'.format(f_beacon*1e3))

            antenna_locs = list(zip(*[(ant.x, ant.y) for ant in antennas]))
            ax.set_xlabel('x' if spatial_unit is None else 'x [{}]'.format(spatial_unit))
            ax.set_ylabel('y' if spatial_unit is None else 'y [{}]'.format(spatial_unit))
            scatter_kwargs = {}
            scatter_kwargs['cmap'] = 'inferno'
            #scatter_kwargs['vmin'] = -np.pi
            #scatter_kwargs['vmax'] = +np.pi
            color_label='$\\varphi(\\sigma_t)$ [rad]'

            sc = ax.scatter(*antenna_locs, c=true_phases, **scatter_kwargs)
            fig.colorbar(sc, ax=ax, label=color_label)

            if False:
                for i, ant in enumerate(antennas):
                    ax.text(ant.x, ant.y, ant.name)

            if not True:
                ax.plot(tx.x, tx.y, 'X', color='k', markeredgecolor='white')

            if fig_dir:
                fig.savefig(path.join(fig_dir, __file__ + f".F{freq_name}.pdf"))

        # Plot True Phases - Actual True Phases at their location
        if show_plots or fig_dir:
            fig, ax = plt.subplots()
            fig.suptitle('Clock phase Residuals\nf_beacon={:2.0f}MHz'.format(f_beacon*1e3))

            actual_true_phases = np.array([ -2*np.pi*a.attrs['clock_offset']*f_beacon for a in antennas ])

            # Modify actual_true_phases, the same way as true_phases
            # was modified
            if remove_absolute_phase_offset_first_antenna or remove_absolute_phase_offset_minimum:
                if remove_absolute_phase_offset_first_antenna: # just take the first phase
                    minimum_phase = actual_true_phases[0]
                else: # take the minimum
                    minimum_phase = np.min(actual_true_phases, axis=-1)

                actual_true_phases -= minimum_phase
                actual_true_phases = lib.phase_mod(actual_true_phases)

            true_phase_residuals = lib.phase_mod(true_phases - actual_true_phases)

            antenna_locs = list(zip(*[(ant.x, ant.y) for ant in antennas]))
            ax.set_xlabel('x' if spatial_unit is None else 'x [{}]'.format(spatial_unit))
            ax.set_ylabel('y' if spatial_unit is None else 'y [{}]'.format(spatial_unit))
            scatter_kwargs = {}
            scatter_kwargs['cmap'] = 'inferno'
            color_label='$\\Delta\\varphi(\\sigma_t) = \\varphi_{meas} - \\varphi_{true}$ [rad]'

            sc = ax.scatter(*antenna_locs, c=true_phase_residuals, **scatter_kwargs)
            fig.colorbar(sc, ax=ax, label=color_label)

            if fig_dir:
                fig.savefig(path.join(fig_dir, __file__ + f".residual.F{freq_name}.pdf"))

    print(f"True phases written to", antennas_fname)

    if show_plots:
        plt.show()