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#!/usr/bin/env python3
import getopt
import matplotlib.pyplot as plt
import numpy as np
import os
import re
import subprocess
import sys
opt = dict()
def measure_data(time):
if not 'LD_LIBRARY_PATH' in os.environ:
os.environ['LD_LIBRARY_PATH'] = '{}/var/projects/msp430/MSP430Flasher_1.3.7'.format(os.environ['HOME'])
energytrace_cmd = '{}/var/source/energytrace-util/energytrace'.format(os.environ['HOME'])
res = subprocess.run([energytrace_cmd, str(duration)], stdout = subprocess.PIPE, universal_newlines = True)
return res.stdout
def show_help():
print('''msp430-etv - MSP430 EnergyTrace Visualizer
USAGE
msp430-etv [--load <file> | <measurement duration>] [--save <file>]
[--skip <count>] [--threshold <power>] [--plot] [--stat]
DESCRIPTION
msp430-etv takes energy measurements from an MSP430 Launchpad or similar device
using MSP430 EnergyTrace technology. Measurements can be taken directly (by
specifying <measurement duration> in seconds) or loaded from a logfile using
--load <file>. Data can be plotted or aggregated on stdout.
OPTIONS
--load <file>
Load data from <file>
--save <file>
Save measurement data in <file>
--skip <count>
Skip <count> data samples. This is useful to avoid startup code
influencing the results of a long-running measurement
--plot
Show power/time plot
--stat
Show mean voltage, current, and power as well as total energy consumption.
''')
if __name__ == '__main__':
try:
optspec = ('help load= save= skip= threshold= plot stat')
raw_opts, args = getopt.getopt(sys.argv[1:], "", optspec.split(' '))
for option, parameter in raw_opts:
optname = re.sub(r'^--', '', option)
opt[optname] = parameter
if 'help' in opt:
show_help()
sys.exit(0)
if not 'load' in opt:
duration = int(args[0])
if 'skip' in opt:
opt['skip'] = int(opt['skip'])
else:
opt['skip'] = 0
if 'threshold' in opt:
opt['threshold'] = float(opt['threshold'])
except getopt.GetoptError as err:
print(err)
sys.exit(2)
except IndexError:
print('Usage: msp430-etv <duration>')
sys.exit(2)
except ValueError:
print('Error: duration or skip is not a number')
sys.exit(2)
if 'load' in opt:
with open(opt['load'], 'r') as f:
log_data = f.read()
else:
log_data = measure_data(duration)
lines = log_data.split('\n')
data_count = sum(map(lambda x: len(x) > 0 and x[0] != '#', lines))
data_lines = filter(lambda x: len(x) > 0 and x[0] != '#', lines)
data = np.empty((data_count - opt['skip'], 4))
for i, line in enumerate(data_lines):
if i >= opt['skip']:
timestamp, current, voltage, total_energy = map(float, line.split(' '))
data[i - opt['skip']] = [timestamp, current, voltage, total_energy]
m_duration = data[-1, 0] - data[0, 0]
m_energy = data[-1, 3] - data[0, 3]
m_calc_energy = np.sum(data[1:, 1] * data[1:, 2] * (data[1:, 0] - data[:-1, 0]))
m_energy_deviation = np.abs(m_energy - m_calc_energy) / np.max([m_energy, m_calc_energy])
print('{:d} measurements in {:.2f} s = {:.0f} Hz sample rate'.format(
data_count, m_duration, data_count / m_duration))
print('Reported energy: E = {:f} J'.format(m_energy))
print('Calculated energy: U*I*t = {:f} J'.format(m_calc_energy))
print('Energy deviation: {:.1f}%'.format(m_energy_deviation * 100))
if 'threshold' in opt:
power = data[:, 1] * data[:, 2]
peaks = []
peak_start = -1
for i, dp in enumerate(power):
if dp >= opt['threshold'] and peak_start == -1:
peak_start = i
elif dp < opt['threshold'] and peak_start != -1:
peaks.append((peak_start, i))
peak_start = -1
for peak in peaks:
duration = data[peak[1]-1, 0] - data[peak[0], 0]
print('{:.2f}ms peak ({:f} -> {:f})'.format(duration * 1000,
data[peak[0], 0], data[peak[1]-1, 0]))
print(' {:f} µJ / mean {:f} µW'.format(
np.mean(power[peak[0] : peak[1]]) * duration * 1e6,
np.mean(power[peak[0] : peak[1]]) * 1e6 ))
if 'save' in opt:
with open(opt['save'], 'w') as f:
f.write(log_data)
if 'stat' in opt:
print('Mean voltage: {:f}'.format(np.mean(data[:, 2])))
print('Mean current: {:f}'.format(np.mean(data[:, 1])))
print('Mean power: {:f}'.format(np.mean(data[:, 1] * data[:, 2])))
print('Total energy: {:f}'.format(m_energy))
if 'plot' in opt:
pwrhandle, = plt.plot(data[:, 0], data[:, 1] * data[:, 2], 'b-', label='U*I', markersize=1)
#energyhandle, = plt.plot(data[1:, 0], (data[1:, 3] - data[:-1, 3]) / (data[1:, 0] - data[:-1, 0]), 'r-', label='E/Δt', markersize=1)
plt.legend(handles=[pwrhandle])
plt.xlabel('Time [s]')
plt.ylabel('Power [W]')
plt.grid(True)
plt.show()
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