From c143ca0b50005c1f40c231ba38cb2e9e417cb96b Mon Sep 17 00:00:00 2001
From: Daniel Friesel <derf@finalrewind.org>
Date: Tue, 9 Oct 2018 08:07:39 +0200
Subject: Support loading and saving of energy data

---
 bin/msp430-etv | 49 +++++++++++++++++++++++++++++++++++++++++--------
 1 file changed, 41 insertions(+), 8 deletions(-)

diff --git a/bin/msp430-etv b/bin/msp430-etv
index de138cf..7d4123a 100755
--- a/bin/msp430-etv
+++ b/bin/msp430-etv
@@ -1,19 +1,16 @@
 #!/usr/bin/env python3
 
+import getopt
 import matplotlib.pyplot as plt
 import numpy as np
 import os
+import re
 import subprocess
 import sys
 
-if __name__ == '__main__':
-	try:
-		duration = int(sys.argv[1])
-	except IndexError:
-		print('Usage: msp430-etv <duration>')
-	except ValueError:
-		print('Error: duration "{}" is not a number'.format(sys.argv[1]))
+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'])
 
@@ -21,7 +18,37 @@ if __name__ == '__main__':
 
 	res = subprocess.run([energytrace_cmd, str(duration)], stdout = subprocess.PIPE, universal_newlines = True)
 
-	lines = res.stdout.split('\n')
+	return res.stdout
+
+if __name__ == '__main__':
+	try:
+		optspec = ('load= save=')
+		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 not 'load' in opt:
+			duration = int(args[1])
+
+	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 "{}" is not a number'.format(sys.argv[1]))
+		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, 4))
@@ -33,12 +60,18 @@ if __name__ == '__main__':
 	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 'save' in opt:
+		with open(opt['save'], 'w') as f:
+			f.write(log_data)
 
 	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)
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