Implemented logging

receiver.py

@@ -2,10 +2,14 @@ import send_test_data
 import json
 import matplotlib.pyplot as plt
 import numpy as np
+from logger import logwriter
+import time
 
 data_store = []
 data_buffer = []
 times = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
+logpath = "log{}.txt".format(time.time())
+logs = True
 
 try:
     for data in send_test_data.data_test_forever():
@@ -15,11 +19,13 @@ try:
 
         # draw graph
         fig, ax = plt.subplots()
-        if currentdata["V"] > 150:
+        if currentdata["V"] > 160:
             ax.set_facecolor('red')
             ax.plot(times[:len(data_buffer)], data_buffer, 'k')
+            warn = True
         else:
             ax.plot(times[:len(data_buffer)], data_buffer)
+            warn = False
         ax.set_xlabel('Time [100 ms]')
         ax.set_ylabel('Value randomness')
         ax.set_title('Value randomness over time')
@@ -27,5 +33,7 @@ try:
         plt.yticks(np.arange(0, 257, 32))
         plt.show()
         plt.close()
+        if logs:
+            logwriter(currentdata["V"], logpath, warn)
 except KeyboardInterrupt:
     exit(0)