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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,133 @@ | ||
| #!/usr/bin/env python3 | ||
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| import sys | ||
| import time | ||
| import math | ||
| import struct | ||
| import umsgpack | ||
| import _thread | ||
| #import numpy as np | ||
| import matplotlib.pyplot as plt | ||
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| if len(sys.argv) <= 1: | ||
| print(f'usage: {sys.argv[0]} mpk_dat_file') | ||
| exit(-1) | ||
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| print('open data file: %s' % sys.argv[1]) | ||
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| with open(sys.argv[1], 'rb') as f: | ||
| in_file = f.read() | ||
| in_data = umsgpack.unpackb(in_file) | ||
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| dat_x = in_data['plot'][0][0] | ||
| dat_encoder = in_data['plot'][0][6] | ||
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| if dat_x[-1] - dat_x[0] + 1 != len(dat_x): | ||
| print('dat_x not continued, exit') | ||
| exit(-1) | ||
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| def find_edge(i_start, is_first=True): | ||
| if i_start + 1 >= len(dat_encoder): | ||
| return None | ||
| val_max = dat_encoder[i_start] | ||
| val_cur = val_max | ||
| i_cur = i_start | ||
| while True: | ||
| i_cur += 1 | ||
| if i_cur >= len(dat_encoder): | ||
| return None | ||
| val_cur = dat_encoder[i_cur] | ||
| if val_cur > val_max: | ||
| val_max = val_cur | ||
| elif val_max - val_cur > 60000: | ||
| if is_first: | ||
| return i_cur | ||
| else: | ||
| if i_cur - i_start >= 20: | ||
| return i_cur | ||
| else: | ||
| val_max = 0 | ||
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| i_s = find_edge(0) | ||
| i_e = find_edge(i_s, False) | ||
| i_len = i_e - i_s | ||
| print(f'start at: {i_s}, end at: {i_e}, len: {i_len}') | ||
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| plt.figure() | ||
| plt.subplot(211) | ||
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| t = list(range(0, len(dat_encoder))) | ||
| plt.setp(plt.plot(t, dat_encoder, 'g.-'), alpha=0.2) # green | ||
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| def get_avg(idx, is_low=True): | ||
| vlist = [ | ||
| dat_encoder[idx-1], | ||
| dat_encoder[idx], | ||
| dat_encoder[idx+1], | ||
| ] | ||
| if is_low: | ||
| for i in range(len(vlist)): | ||
| if vlist[i] > 0x10000*(3/4): | ||
| vlist[i] -= 0x10000 | ||
| else: | ||
| for i in range(len(vlist)): | ||
| if vlist[i] < 0x10000*(1/4): | ||
| vlist[i] += 0x10000 | ||
| avg = (vlist[0] + vlist[1] + vlist[2]) / 3 | ||
| return avg | ||
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| dat_filtered = [] | ||
| for i in range(i_len): | ||
| is_low = i < (i_len / 2) | ||
| dat_filtered.append(get_avg(i_s + i, is_low)) | ||
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| plt.setp(plt.plot(t[i_s:i_e], dat_filtered, 'b.-'), alpha=0.2) | ||
| plt.setp(plt.plot([i_s, i_e-1], [dat_encoder[i_s], dat_encoder[i_e-1]], 'r.-'), alpha=0.6) # red | ||
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| plt.tight_layout() | ||
| plt.grid() | ||
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| cali_t = [] | ||
| cali_table = [] | ||
| next_val = 0 | ||
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| def find_val(y_val): | ||
| for i in range(len(dat_filtered)): | ||
| if dat_filtered[i] >= y_val: | ||
| return round(i / len(dat_filtered) * 65535) | ||
| return 65535 | ||
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| for i in range(4096): | ||
| cali_t.append(i) | ||
| cali_table.append(find_val(i * 16)) | ||
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| print(f'cali len: {len(cali_table)}') | ||
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| flash_val = b'' | ||
| for i in range(4096): | ||
| flash_val += struct.pack("<H", cali_table[i]) | ||
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| print(f'write cali_encoder data to file: cali_encoder_data.bin, data len: {len(flash_val)} ...') | ||
| with open('cali_encoder_data.bin', 'wb') as f: | ||
| f.write(flash_val) | ||
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| plt.subplot(212) | ||
| plt.setp(plt.plot(cali_t, cali_table, 'b.-'), alpha=0.2) | ||
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| plt.setp(plt.plot([0, 4095], [0, 65535], 'r.-'), alpha=0.6) # red | ||
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| plt.tight_layout() | ||
| plt.grid() | ||
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| plt.show() | ||
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| # cdbus_gui/tools: | ||
| # ./cdg_iap.py --cfg ../configs/cdfoc-xxx.json --in-file cali_encoder_data.bin --addr=0x0801b800 | ||
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