Quick check of inflation

quick_inflation_check.py

import json, os, sys

def plancks_to_dots(plancks):
    return float(int(plancks) / 10_000_000_000)


def calculate_ideal_staking_rate(num_parachains):
    p = min(num_parachains, 60) / 200
    ideal_stake = 0.75 - p
    return ideal_stake

# EXECUTION STARTS HERE

# Make sure we have a Subscan API key entered as a command line argument.
# If you don't have one, you can request one here: https://pro.subscan.io/
if (len(sys.argv) >= 3):
    SUBSCAN_API_KEY = sys.argv[1]
    NUM_PARACHAINS = int(sys.argv[2])
else:
    sys.exit("You need to enter a Subscan API key and the number of non-system parachains.")


NUM_ERAS = 1
    
# Call Subscan and get the last 10 eras worth of staking data
    

SUBSCAN_CURL_COMMAND = """curl -X POST 'https://polkadot.api.subscan.io/api/scan/events' \
   --header 'Content-Type: application/json' \
   --header 'X-API-Key: """ + SUBSCAN_API_KEY + """' \
   --data-raw '{
     "row": """ + str(NUM_ERAS) + """,
     "page": 1,
     "module": "staking",
     "call": "EraPaid"
   }'
"""

s = os.popen(SUBSCAN_CURL_COMMAND)
staking_data = json.loads(s.read())

ideal_staking_rate = calculate_ideal_staking_rate(NUM_PARACHAINS)


print("The ideal staking rate is: " + str(ideal_staking_rate * 100) + "%.\n")

# Feel free to turn this into a loop to get more eras of staking data
# It can then be averaged out etc.

params_data = json.loads(str(staking_data["data"]["events"][0]["params"]))
era = params_data[0]["value"]
payout = params_data[1]["value"]
remainder = params_data[2]["value"]

print("Actual data last era ( " + str(era) + " ) :")
print("\tPayout    : " + str(plancks_to_dots(payout)))
print("\tRemainder : " + str(plancks_to_dots(remainder)))