#!/usr/bin/env python3

import csv
import numpy as np
import os
import struct
import sys
import tarfile
import matplotlib.pyplot as plt
from dfatool import running_mean, MIMOSA

voltage = float(sys.argv[1])
shunt = float(sys.argv[2])
mimfile = sys.argv[3]

mim = MIMOSA(voltage, shunt)

charges, triggers = mim.load_data(mimfile)
trigidx = mim.trigger_edges(triggers)
cal_edges = mim.calibration_edges(running_mean(mim.currents_nocal(charges[0:trigidx[0]]), 10))

#charges = charges[charges > 20000]
#charges = charges[charges < 21000]

def show_hist(data):
	bins = np.max(data) - np.min(data)
	if bins == 0:
		bins = 1
	if bins > 1000:
		bins = bins / 10
	#bins = 500
	n, bins, patches = plt.hist(data, bins, normed=0, facecolor='green', alpha=0.75)
	plt.grid(True)
	plt.show()
	print(np.histogram(data, bins=bins))

#show_hist(charges[cal_edges[0]:cal_edges[1]])
#show_hist(charges[cal_edges[4]:cal_edges[5]])
#show_hist(charges[cal_edges[2]:cal_edges[3]])
#show_hist(charges[trigidx[7]:trigidx[8]])
#show_hist(np.array(charges))

#print(charges[cal_edges[0]:cal_edges[1]])
#print(charges[cal_edges[4]:cal_edges[5]])
#print(charges[cal_edges[2]:cal_edges[3]])

plt.hist(mim.charge_to_current_nocal(charges[cal_edges[2]:cal_edges[3]]) * 1e-3, 100, normed=0, facecolor='blue', alpha=0.8)
plt.xlabel('mA MimosaCMD')
plt.ylabel('#')
plt.grid(True)
plt.show()
plt.hist(mim.charge_to_current_nocal(charges[cal_edges[4]:cal_edges[5]]) * 1e-3, 100, normed=0, facecolor='blue', alpha=0.8)
plt.xlabel('mA MimosaCMD')
plt.ylabel('#')
plt.grid(True)
plt.show()
plt.hist(mim.charge_to_current_nocal(charges[cal_edges[0]:cal_edges[1]]) * 1e-3, 100, normed=0, facecolor='blue', alpha=0.8)
plt.xlabel('mA MimosaCMD')
plt.ylabel('#')
plt.grid(True)
plt.show()
plt.hist(charges[cal_edges[0]:cal_edges[1]], 100, normed=0, facecolor='blue', alpha=0.8)
plt.xlabel('Rohwert MimosaCMD')
plt.ylabel('#')
plt.grid(True)
plt.show()