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ir_plot.py
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ir_plot.py
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#!/usr/bin/env python3
"""
ir_plot.py
plot data from flipper IR raw data save files
Warning: this is 5 min hack code, use at own risk
Written By: Peter Shipley github.com/evilpete
From pkg https://github.com/evilpete/flipper_toolbox
"""
import sys
import os
# from statistics import mean
import argparse
from pprint import pprint
import numpy as np
# import pandas as pd
import matplotlib.pyplot as plt
PRINT_BITS = True # this is a hack
def arg_opts():
parser = argparse.ArgumentParser(add_help=True, # noqa
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('-v', '--verbose', dest="verbose",
default=0,
help='Increase debug verbosity', action='count')
parser.add_argument("-n", "--name", dest="cmd_name",
default=None,
help="IR Command Name")
parser.add_argument("-f", "--file", dest="filename",
default=None,
help="IR Filename")
parser.add_argument("-i", "--invert", dest="invert",
default=False,
action='store_true',
help="Invert Wave plot")
parser.add_argument("-d", "--dir", dest="destdir",
default=None,
help="Destination")
parser.add_argument("-o", "--output", dest="out_format",
choices=['png', 'pdf', 'svg'],
default="None",
help="Output Format")
parser.add_argument("-s", "--screen", dest="screen",
default=False, action='store_true',
help="Display on Screen")
# data_grp = parser.add_mutually_exclusive_group()
return parser.parse_known_args()
def load_cmd_data(filename):
name = data_str = sig_type = duty_cycle = freq = None
ret = []
with open(filename, 'r', encoding="utf-8") as fd:
header = fd.readline().strip()
if header != 'Filetype: IR signals file':
print(f"Error: {filename} is not a 'Flipper IR signals file'")
sys.exit(1)
for line in fd:
line = line.strip()
if not line or line[0] == '#': # skip blank lines
continue
try:
if line.startswith('name:'):
name = line.split(':')[1].strip()
sig_type = freq = duty_cycle = data_str = None
if line.startswith('type:'):
sig_type = line.split(':')[1].strip()
if line.startswith('frequency:'):
freq = line.split(':')[1].strip()
if line.startswith('duty_cycle:'):
duty_cycle = line.split(':')[1].strip()
if line.startswith('data:'):
data_str = line.split(':')[1].strip()
except IndexError:
print("Line format error: {line)")
if name and sig_type and freq and duty_cycle and data_str:
if sig_type == 'raw':
dat = {
'name': name,
'type': sig_type,
'freq': freq,
'duty_cycle': duty_cycle,
'data_str': data_str,
}
ret.append(dat)
name = sig_type = freq = duty_cycle = data_str = None
return ret
def split_data_str(dat, max_val=15000):
dat_list = dat.split()
ret = []
cur_dat = []
# print(f"dat_list: {len(dat_list)}")
for x in dat_list:
i = int(x)
if i > max_val:
ret.append(cur_dat)
# print(f"cur_dat: {len(cur_dat)}")
cur_dat = []
else:
cur_dat.append(i)
ret.append(cur_dat)
return ret
LOW_PLOT_VAL = 1
HIGH_PLOT_VAL = 5
def convert_dat(dat_list, invert=False, verbose=0): # normalize=0,
high_val = HIGH_PLOT_VAL
low_val = LOW_PLOT_VAL
# print("== convert_dat")
if len(dat_list) % 2 != 0:
dat_list.append(0)
dat_len = len(dat_list)
if verbose > 1:
print(f"dat_len {dat_len}")
if invert:
high_val = LOW_PLOT_VAL
low_val = HIGH_PLOT_VAL
# i_min = 15
# # o_min = 23
# if normalize:
# e = dat_list[2::2]
# i_min = min(e) // 10
# if verbose > 2:
# o = dat_list[3::2]
# print(min(dat_list), mean(dat_list),
# max(dat_list), "\n", dat_list, "\n")
# print(min(e), mean(e), max(e), "\n", e, "\n")
# print(min(o), mean(o), max(o), "\n", o, "\n")
# print("\n\n")
res = [low_val]
for x in range(0, dat_len, 2):
i = dat_list[x] # // 10
# if normalize:
# i = (i // i_min) * i_min
j = int(dat_list[x + 1]) # // 10
# if normalize:
# j = (j // 23) * 26
# print(f"{x}: {i} {j} {len(res)}")
# res += [LOW_PLOT_VAL] * i
# res += [HIGH_PLOT_VAL] * j
res += [high_val] * i
res += [low_val] * j
res.append(1)
# print("\n")
return res
# An Experiment
def decode_dat(dat_list, verbose=0):
dat_len = len(dat_list)
if verbose > 1:
print("== decode_dat")
resA = []
resB = []
i = j = 0
for x in range(0, dat_len, 2):
i = dat_list[x] # // 10
j = int(dat_list[x + 1]) # // 10
A = '1' if i > j else '0'
resA.append(A)
B = '1' if j > 500 else '0'
resB.append(B)
# if verbose > 1:#test
# print(f"{x:3d}: {i:4d} {j:4d} : {A} {B}")
if verbose > 1: # test
print(f"A: {resA}")
print(f"B: {resB}")
# def printbits
# # this method is total hack and only works on a
# if debug or PRINT_BITS:
# # Print Bits
# o = d[1::2]
# avg_val = mean(o)
# bits = ['0' if b < avg_val else '1' for b in o]
# # print(o)
# bit_str = "".join(bits)
# print(bits, bit_str, "{0:02x} {0:d}".format(int(bit_str, 2)))
def main():
filen = 'Test.ir' # None
cmd_name = destdir = None
verbose = 0
arg, av = arg_opts()
# print("arg", arg, "av=", av)
disp = False
if arg.verbose:
verbose = arg.verbose
# get input filename from argparse or fist arg
if arg.filename:
filen = arg.filename
elif av:
filen = av.pop(0)
if filen is None:
print('Usage:\n\tir_plot.py <flipper_ir_file.ir> <ir_command_name>')
sys.exit(0)
if not os.path.exists(filen):
print(f"file {filen} not found")
sys.exit(0)
if arg.cmd_name:
cmd_name = arg.cmd_name
elif av:
cmd_name = av.pop(0)
if arg.destdir:
destdir = arg.destdir
if not os.path.exists(destdir):
os.mkdir(destdir)
# if arg.out_format in ['png', 'pdf', 'svg']:
# if not os.path.exists(destdir):
# os.mkdir(destdir)
if arg.screen or arg.out_format not in ['png', 'pdf', 'svg']:
disp = True
# print("arg", arg, "disp=", disp)
cmd_data = load_cmd_data(filen)
# pprint(cmd_data, compact=True)
# print(f"cmd_data len {len(cmd_data)}")
if cmd_name:
cmd_data = [x for x in cmd_data if cmd_name == x['name']]
if not cmd_data:
print(f'Was not able to find raw data for "{cmd_name}" in {filen}')
sys.exit()
if verbose:
print(f"{len(cmd_data)} found in {filen}")
if destdir is None and arg.out_format in ['png', 'pdf', 'svg']:
if len(cmd_data) == 1:
destdir = '.'
else: # cmd_data is > 1
destdir = os.path.splitext(filen)[0]
# if verbose:
# print(f"destdir = {destdir}")
# if not os.path.exists(destdir):
# os.mkdir(destdir)
for dat in cmd_data:
dat['data'] = split_data_str(dat['data_str'])
ii = 0
for dat in cmd_data:
dat_lists = dat['data']
# name = dat['name']
plt.figure(ii)
ax = plt.gca()
ax.axes.yaxis.set_visible(False)
plt.title(f"IR Signal: {dat['name']}")
# if verbose > 1:#test
# print(f'\n{ii} {name} == {len(dat_lists)}')
if verbose > 2:
pprint(dat_lists, indent=4, compact=True)
list_lenghts = []
conv_dat_lists = []
y_off = 0
for d in dat_lists:
if verbose > 1:
print('o:', d[1::2])
print('e:', d[0::2])
print(f"d: {d}")
# normalize=True,
n_dat = convert_dat(d, invert=arg.invert, verbose=arg.verbose)
conv_dat_lists.append(n_dat)
list_lenghts.append(len(n_dat))
if verbose > 1:
print(f"d: {d}")
# decode_dat(d)
# print(list_lenghts)
max_len = max(list_lenghts)
# print(max_len)
plot_x = np.arange(max_len)
for d in conv_dat_lists:
d_len = len(d)
if d_len < max_len:
ln = max_len - d_len
d += [1] * ln
plot_y = np.array(d) + (y_off * (HIGH_PLOT_VAL + 1))
plt.plot(plot_x, plot_y)
# y_off += HIGH_PLOT_VAL + 1
y_off += 1
plt.gcf().set_size_inches(6, 1 + (.5 * y_off))
if arg.out_format == 'png':
if arg.verbose:
print(f'{destdir}/{ii}_{cmd_name}.png y_off={y_off}')
plt.savefig(f'{destdir}/{ii}_{cmd_name}.png', pad_inches=0.3)
ii += 1
if disp:
plt.show()
if __name__ == '__main__':
main()