lotterysim: add inflation rate analytics

script/research/lotterysim/core/lottery.py

@@ -28,7 +28,6 @@ class DarkfiTable:
         self.debug=debug
         self.start_time=time.time()
         feedback=0 # number leads in previous slot
-        count = 0
         # random running time
         rand_running_time = random.randint(1,self.running_time) if rand_running_time else self.running_time
         self.running_time = rand_running_time
@@ -89,7 +88,6 @@ class DarkfiTable:
                             darkie_winning_idx = darkie_idx
                             break
                     self.darkies[darkie_winning_idx].resync_stake(resync_reward)
-
             count+=1
         self.end_time=time.time()
         avg_reward = sum(self.rewards)/len(self.rewards)

script/research/lotterysim/metrics.py

@@ -0,0 +1,30 @@
+from core.constants import *
+import config
+
+def percent_change(start, end):
+    difference = end - start
+    change = (difference / start) * 100
+    return change
+
+#def slot_number_at_target(count, supply, target_reached):
+#    if target_reached == False:
+#        if supply > target:
+#            target_reached = True
+#            get_slot_time(count)
+#    return target_reached
+#
+#target = ERC20DRK * config.exchange_rate
+#
+#def get_slot_time(count):
+#    # @ 90 seconds per slot
+#    slots_per_day = 960
+#    slots_per_month = 28800
+#    slots_per_year = slots_per_month * 12
+#
+#    days = count / slots_per_day
+#    months = count / slots_per_month
+#    years = count / slots_per_year
+#    
+#    print("Target supply of", str(target), "DRK was achieved after: ",
+#          str(count), "slots", str(days), "(D)", str(months), "(M)",
+#          str(years), "(Y)")

script/research/lotterysim/vesting.py

@@ -3,6 +3,7 @@ from core.strategy import random_strategy
 from core.constants import *
 from pid.pid_base import *
 from draw import draw
+import metrics
 import logging
 import config
 import os
@@ -30,7 +31,9 @@ def vesting_instance(vesting, running_time):
             dt.add_darkie(darkie)
         dt.background(rand_running_time=False)
         dt.write()
-    return dt.avg_apr()
+
+        inflation = metrics.percent_change(airdrop, sum(dt.rewards))
+    return (dt.avg_apr(), inflation)
 
 if not os.path.exists(config.vesting_file):
     print('add vested distribution csv at path {} with vesting period {} (slots) aparts.'.format(config.vesting_file, ONE_MONTH))
@@ -51,6 +54,7 @@ if config.running_time== 0:
 else:
     running_time = config.running_time
 
-apr = vesting_instance(vesting, running_time)
+apr, inflation = vesting_instance(vesting, running_time)
 print('avg apr: {}%'.format(apr*100))
+print('inflation: {}%'.format(inflation))
 draw()