import matplotlib.pyplot as plt
from  matplotlib import dates
import pandas as pd
from datetime import datetime
import sys

font = 4
print_width = 6
print_height = 4
width = 1
plot_windows = 2
channels = [0, 0, 1, 0, 0, 1]
asotr_kit = '01'

xborders=False
begin=0;
end=0;

path_B = '/home/danila/Danila/work/MVN/flight/beta_forecast/'
fname_B = 'beta_2025.xlsx'
path = '/home/danila/Danila/work/MVN/Soft/asotr_csv/data/'
fname = 'asotr' + asotr_kit + '_data_T.csv'
fname_pow = 'asotr' + asotr_kit + '_data_P.csv'
pict_name = path + 'ASOTR' + asotr_kit + '_flight_T_P_all' 
ox_dtime_format = '%d.%m %H:%M:%S'

legend=['БРД1', 'БРД2', 'БРД3', 'БРД4', 'плита МУП МВН, датчик1', 'плита МУП МВН, датчик 2']
width=[1, 1, 1, 1, 1, 1]

marker = ['-', '-', '-', '-', '--', '-'];
width_arr = [1, 0.5, 0.2, 0.1, 1, 1]

fname = [path + fname, path + fname_pow]

fname_b = path_B + fname_B

dateparse = lambda x: datetime.strptime(x, "%d.%m.%Y %H:%M:%S.%f")

dparse_b = lambda x: datetime.strptime(x, '%Y-%m-%d %H:%M:%S')

data_b = pd.read_excel(fname_b, 
        sheet_name=0,
        usecols=[0,1,2], 
        header=4,
        names=['turn_num', 'beta_angle', 'timestamp'],
        parse_dates=['timestamp'],
        date_parser=dparse_b)


data = [pd.read_csv(fname[0], sep=';', parse_dates=['timestamp'], date_parser=dateparse),
        pd.read_csv(fname[1], sep=';', parse_dates=['timestamp'], date_parser=dateparse)]

ch= [[], [], [], [], [], []]
ch_signs = ["temp", "pow"]
data_dict = {"temp": ch, "pow": ch, "time": []}
data_dict["time"] = data[0]['timestamp']
col=['ch1', 'ch2', 'ch3', 'ch4', 'ch5', 'ch6', 'ch7']

for j in range(2):
    for index, row, in data[j].iterrows():
        for i in range(6):
            ch[i].append(float(row[col[i]]))
    data_dict[ch_signs[j]] = ch
    ch= [[], [], [], [], [], []]

len_data = [len(data_dict['temp'][0]), len(data_dict['pow'][0])]
len_ = min(len_data)

if xborders == False:
    begin = 0
    end = len_ - 1

if plot_windows == 1:
    fig, ax = plt.subplots(figsize=(print_width, print_height), dpi=200)

    i = 0
    for elem in data_dict['temp']:
        if channels[i] == 1:
            ax.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
        i += 1

    # ax.axvline(x = data['timestamp'][300], color='r', linestyle='-.', label="power=100")
    # ax.axvline(x = data['timestamp'][1500], color='b', linestyle='dotted', label="power=0")
    ax.tick_params(axis="both", width=1, labelsize=font)
    ax.grid(visible=True, linestyle = 'dotted')
    ax.set_ylabel('Температура, $^\circ$C', fontsize=font)
    ax.set_xlabel('Время', fontsize=font)
    ax.legend(fontsize=font)

    date_formatter = dates.DateFormatter(ox_dtime_format)
    ax.xaxis.set_major_formatter(date_formatter)

    plt.tight_layout()
    fig.savefig(pict_name)
    plt.show()

elif plot_windows == 2:

    fig = plt.figure(figsize=(print_width, print_height), dpi=200)
    ax1 = fig.add_subplot(2, 1, 1)
    ax2 = fig.add_subplot(2, 1, 2, sharex=ax1)

    i = 0
    for elem in data_dict['temp']:
        if channels[i] == 1:
            ax1.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
        i += 1
    
    ax3 = ax1.twinx()
    ax3.plot(data_b['timestamp'], data_b['beta_angle'], marker[4], color='r', linewidth=width[5], label='угол Бета')
    ax3.set_ylabel('Угол Бета', fontsize=font)
    ax3.tick_params(axis="y", width=1, labelsize=font)
    ax3.legend(fontsize=font, loc='upper right')

    i = 0
    for elem in data_dict['pow']:
        if channels[i] == 1:
            ax2.plot(data_dict['time'][begin:end], elem[begin:end], marker[i], linewidth=width[i], label=legend[i])
        i += 1

    # ax1.axvline(x = data['timestamp'][300], color='r', linestyle='-.', label="power=100")
    # ax.axvline(x = data['timestamp'][1500], color='b', linestyle='dotted', label="power=0")
    ax1.tick_params(axis="both", width=1, labelsize=font)
    ax1.grid(visible=True, linestyle = 'dotted')
    ax1.set_ylabel('Температура, $^\circ$C', fontsize=font)
    ax1.set_xlabel('Время', fontsize=font)
    ax1.legend(fontsize=font, loc='lower right')

    date_formatter = dates.DateFormatter(ox_dtime_format)
    ax1.xaxis.set_major_formatter(date_formatter)

    ax2.tick_params(axis="both", width=1, labelsize=font)
    ax2.grid(visible=True, linestyle = 'dotted')
    ax2.set_ylabel('Мощность, %', fontsize=font)
    ax2.set_xlabel('Время', fontsize=font)
    ax2.legend(fontsize=font, loc='lower right')

    date_formatter = dates.DateFormatter(ox_dtime_format)
    ax2.xaxis.set_major_formatter(date_formatter)

    plt.title('АСОТР ' + asotr_kit, fontsize=font)
    plt.tight_layout()
    fig.savefig(pict_name)
    plt.show()