[contrib] lead log processing script

contrib/localnet/darkfid-five-nodes/logproc.py

@@ -0,0 +1,33 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+LEAD_FILE = "/tmp/lead_history.log"
+F_FILE = "/tmp/f_history.log"
+
+LEAD_PROCESSED_IMG = "/tmp/lead_history_processed.png"
+F_PROCESSED_IMG = "/tmp/f_history_processed.png"
+
+SEP = ","
+NODES = 5 # nuber of nodes logged
+
+with open(LEAD_FILE) as f:
+    buf = f.read()
+    nodes = buf.split(SEP)[:-1]
+    node_log = []
+    for i in range(0, len(nodes), NODES):
+        assert (nodes[i]==nodes[i+1]==nodes[i+2]==nodes[i+3]==nodes[i+4])
+        node_log+=[int(nodes[i])]
+    freq_single_lead = sum(np.array(node_log)==1)/float(len(node_log))
+    print("single leader frequency: {}".format(freq_single_lead))
+    plt.plot(node_log)
+    plt.savefig(LEAD_PROCESSED_IMG)
+
+with open(F_FILE) as f:
+    buf = f.read()
+    nodes = buf.split(SEP)[:-1]
+    node_log = []
+    for i in range(0, len(nodes), NODES):
+        assert (nodes[i]==nodes[i+1]==nodes[i+2]==nodes[i+3]==nodes[i+4])
+        node_log+=[float(nodes[i])]
+    plt.plot(node_log)
+    plt.savefig(F_PROCESSED_IMG)