def update_exchange_rates(symbol: str):
os.makedirs(BASE_DIRECTORY, exist_ok=True)
coin_gecko_id = CoinGecko.get_id_by_symbol(symbol)
if not coin_gecko_id:
return
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0, minute=0, second=0, microsecond=0)
path = os.path.join(BASE_DIRECTORY, symbol + '.csv')
if not os.path.isfile(path):
act_date = get_first_transaction_timestamp(symbol)
else:
act_date = _get_last_timestamp(path) + timedelta(days=1)
log.debug('updating token exchange rates')
with open(path, 'a') as file:
while act_date < max_time:
price = CoinGecko.get_exchange_rate(coin_gecko_id, act_date)
file.write(','.join([act_date.strftime('%Y-%m-%d'),
str(price)]) + '\n')
file.flush()
time.sleep(1)
act_date += timedelta(days=1)
def final_data_payments():
os.makedirs(STORE_FINAL_DATA_PAYMENTS, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process,
date_last_processed + timedelta(days=1))
log.debug('generate final data: general')
if date_to_process >= max_time:
return
while not stop_processing:
log.debug('creating final payment data for ' +
date_to_process.strftime('%Y-%m-%d'))
# Amount
# Count
# Average
final_data = calculate_daily_payment_data.get_data_for_date(
date_to_process)
if len(final_data.keys()) > 0:
with open(
os.path.join(
STORE_FINAL_DATA_PAYMENTS,
date_to_process.strftime('%Y-%m-%d') + '.json'),
'a') as file:
for currency in final_data.keys():
if final_data[currency]['payment_count'] > 0:
final_data[currency]['average'] = final_data[currency][
'total_amount'] / final_data[currency][
'payment_count']
else:
final_data[currency]['average'] = 0
file.write(json.dumps(final_data))
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def calculate_rolling_retention_data():
os.makedirs(STORE_ROLLING_RETENTION_DATA, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
log.debug('calculate: rolling retention')
if date_to_process >= max_time:
return
total_user_from_yesterday = calculate_total_user_data.get_data_for_date(
max_time - timedelta(days=1))
while not stop_processing:
log.debug('calculate rolling retention data for ' +
date_to_process.strftime('%Y-%m-%d'))
final_data = _calculate_retention_data(date_to_process,
total_user_from_yesterday)
for currency in final_data.keys():
file_path = os.path.join(
STORE_ROLLING_RETENTION_DATA, currency,
date_to_process.strftime('%Y-%m-%d') + '.json')
os.makedirs(os.path.join(STORE_ROLLING_RETENTION_DATA, currency),
exist_ok=True)
with open(file_path, 'w') as file:
file.write(json.dumps(final_data[currency]))
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def _get_next_time_to_process(symbol, symbol_dir):
last_file_timestamp = None
last_file = None
files = [f for f in os.listdir(symbol_dir) if os.path.isfile(os.path.join(symbol_dir, f))]
# get the file with the highest timestamp
for file in files:
filename = file.split('.')[0]
timestamp = datetime.strptime(filename, '%Y-%m-%d')
if not last_file_timestamp or timestamp > last_file_timestamp:
last_file_timestamp = timestamp
last_file = file
if last_file_timestamp:
return last_file_timestamp + timedelta(days=1)
else:
return get_first_transaction_timestamp(symbol)
def calculate_daily_retention_data():
os.makedirs(STORE_DAILY_RETENTION_DATA, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process, date_last_processed - timedelta(days=31))
log.debug('calculate: retention')
if date_to_process >= max_time:
return
while not stop_processing:
log.debug('creating retention data for ' + date_to_process.strftime('%Y-%m-%d'))
final_data = _calculate_retention_data(date_to_process)
for currency in final_data.keys():
file_path = os.path.join(STORE_DAILY_RETENTION_DATA, currency, date_to_process.strftime('%Y-%m-%d') + '.json')
os.makedirs(os.path.join(STORE_DAILY_RETENTION_DATA, currency), exist_ok=True)
with open(file_path, 'w') as file:
file.write(json.dumps(final_data[currency]))
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def final_data_general():
os.makedirs(STORE_FINAL_DATA_GENERAL, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
# date_last_processed = _get_last_processed_date()
# date_to_process = max(date_to_process, date_last_processed + timedelta(days=1))
log.debug('generate final data: general')
if date_to_process >= max_time:
return
while not stop_processing:
final_data = {}
payment_data = calculate_daily_payment_data.get_data_for_date(
date_to_process)
file_path = os.path.join(
STORE_FINAL_DATA_GENERAL,
date_to_process.strftime('%Y-%m-%d') + '.json')
if not os.path.isfile(file_path):
for symbol in payment_data.keys():
final_data[symbol] = {}
log.debug('creating final general data for ' +
date_to_process.strftime('%Y-%m-%d'))
# Amount of Coins
# Velocity
market_data = calculate_market_data.get_data(
symbol, date_to_process)
if not market_data:
return
final_data[symbol]['amount_of_coins'] = market_data[
'circulating_supply']
final_data[symbol]['velocity_m1'] = payment_data[symbol][
'total_amount'] / market_data['circulating_supply']
if len(final_data.keys()) > 0:
with open(file_path, 'w') as file:
file.write(json.dumps(final_data))
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def calculate_total_user_data():
os.makedirs(STORE_TOTAL_USER_DIRECTORY, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process,
date_last_processed + timedelta(days=1))
log.debug('calculate: total user data')
if date_to_process >= max_time:
return
state = _load_state(date_to_process)
while not stop_processing:
log.debug('analysing total user data for ' +
date_to_process.strftime('%Y-%m-%d'))
transactions = get_transaction_data(
date_to_process, type_filter=['bank_MsgMultiSend', 'bank_MsgSend'])
for transaction in transactions:
# log.debug(transaction)
type = transaction[0]
block = transaction[1]
timestamp = transaction[2]
tx_hash = transaction[3]
amount = int(transaction[4])
currency = transaction[5]
from_address = transaction[6]
to_address = transaction[7]
tax_amount = transaction[8]
tax_currency = transaction[9]
if currency not in state.keys():
state[currency] = {}
if from_address not in state[currency]:
state[currency][from_address] = {
'first_seen_timestamp': timestamp,
}
state[currency][from_address]['last_seen_timestamp'] = timestamp
_save_state(date_to_process, state)
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def final_data_rolling_retention():
os.makedirs(STORE_FINAL_DATA_USER, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
log.debug('generate final data: rolling retention')
if date_to_process >= max_time:
return
user_list = {}
while not stop_processing:
user_meta_data = {}
log.debug('creating final rolling retention data for ' + date_to_process.strftime('%Y-%m-%d'))
# Total
# New
# Daily Active
# retention 7d
# retention 14d
# retention 30d
file_path = os.path.join(STORE_FINAL_DATA_USER, date_to_process.strftime('%Y-%m-%d') + '.json')
raw_data = calculate_daily_transaction_data.get_user(date_to_process)
for currency in raw_data.keys():
if currency not in user_list.keys():
user_list[currency] = set()
user_meta_data[currency] = {}
count_new_user = 0
count_daily_active = len(raw_data[currency])
for user_object in raw_data[currency]:
if not user_object['address'] in user_list[currency]:
count_new_user += 1
user_list[currency].add(user_object['address'])
user_meta_data[currency]['new'] = count_new_user
user_meta_data[currency]['daily'] = count_daily_active
if not os.path.isfile(file_path):
final_data = {}
for currency in user_list.keys():
#
# calculate retention data
#
retention_data = calculate_rolling_retention_data.get_retention_for_date(date_to_process, currency)
final_data[currency] = {
'total': len(user_list[currency]),
'new': user_meta_data.get(currency)['new'] if (currency in user_meta_data) else 0,
'daily': user_meta_data.get(currency)['daily'] if (currency in user_meta_data) else 0,
'rolling_retention': retention_data,
}
if len(raw_data.keys()) > 0:
with open(file_path, 'w') as file:
file.write(json.dumps(final_data))
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def calculate_daily_payment_data():
os.makedirs(STORE_DAILY_PAYMENTS_DIRECTORY, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process, date_last_processed + timedelta(days=1))
log.debug('calculate: total amount of coins per coin')
# TODO remove all lines from STORE_DAILY_PAYMENTS_DIRECTORY which are in the future from date_to_process
# TODO remove all files from STORE_DAILY_ADDRESS_PAYMENTS_DIRECTORY which are in the future from date_to_process
if date_to_process >= max_time:
return
# with open(symbol_file, 'a') as file:
while not stop_processing:
log.debug('analysing payment data for ' + date_to_process.strftime('%Y-%m-%d'))
transactions = get_transaction_data(date_to_process, type_filter=['bank_MsgMultiSend', 'bank_MsgSend'])
token = dict()
for transaction in transactions:
type = transaction[0]
block = transaction[1]
timestamp = transaction[2]
tx_hash = transaction[3]
currency = transaction[5]
tax_amount = transaction[8]
tax_currency = transaction[9]
if currency not in token.keys():
token[currency] = {
'total_amount': 0,
'payment_count': 0,
'total_tax_amount': 0,
'active_users': dict(),
}
amount = int(transaction[4])
from_address = transaction[6]
to_address = transaction[7]
tax_amount = int(transaction[8])
tax_currency = transaction[9]
token[currency]['payment_count'] += 1
token[currency]['total_amount'] += amount
token[currency]['total_tax_amount'] += tax_amount
if from_address not in token[currency]['active_users'].keys():
token[currency]['active_users'][from_address] = {
'total_amount': 0,
'payment_count': 0,
}
token[currency]['active_users'][from_address]['total_amount'] += amount
token[currency]['active_users'][from_address]['payment_count'] += 1
for currency in token.keys():
with open(os.path.join(STORE_DAILY_PAYMENTS_DIRECTORY, currency + '.csv'), 'a') as file:
tax_rate = token[currency]['total_tax_amount'] / token[currency]['total_amount']
file.write(','.join([date_to_process.strftime('%Y-%m-%d'),
str(token[currency]['total_amount']),
str(token[currency]['payment_count']),
f"{tax_rate:.15f}",
]) + '\n')
os.makedirs(os.path.join(STORE_DAILY_ADDRESS_PAYMENTS_DIRECTORY, currency), exist_ok=True)
with open(os.path.join(STORE_DAILY_ADDRESS_PAYMENTS_DIRECTORY,
currency,
date_to_process.strftime('%Y-%m-%d') + '.csv'), 'a') as file:
for address in token[currency]['active_users'].keys():
file.write(','.join([address,
str(token[currency]['active_users'][address]['total_amount']),
str(token[currency]['active_users'][address]['payment_count']),
]) + '\n')
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def final_data_transactions():
os.makedirs(STORE_FINAL_DATA_TRANSACTIONS, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process,
date_last_processed + timedelta(days=1))
log.debug('generate final data: transactions')
if date_to_process >= max_time:
return
while not stop_processing:
log.debug('creating final transaction data for ' +
date_to_process.strftime('%Y-%m-%d'))
# Send
# Deposit
# Swap
# Create Validator
raw_data_send = calculate_daily_transaction_data.get_data(
date_to_process, 'bank_MsgSend')
raw_data_multisend = calculate_daily_transaction_data.get_data(
date_to_process, 'bank_MsgMultiSend')
raw_data_deposit = calculate_daily_transaction_data.get_data(
date_to_process, 'gov_MsgDeposit')
raw_data_swap = calculate_daily_transaction_data.get_data(
date_to_process, 'market_MsgSwap')
raw_data_create_validator = calculate_daily_transaction_data.get_data(
date_to_process, 'staking_MsgCreateValidator')
final_data = {}
for raw_data in [
raw_data_send, raw_data_multisend, raw_data_deposit,
raw_data_swap, raw_data_create_validator
]:
for currency in raw_data.keys():
if currency not in final_data.keys():
final_data[currency] = {}
if 'send' not in final_data[currency]:
final_data[currency]['send'] = 0
for currency in raw_data_send.keys():
final_data[currency]['send'] += raw_data_send[currency]['count']
for currency in raw_data_multisend.keys():
final_data[currency]['send'] += raw_data_multisend[currency][
'count']
for currency in raw_data_deposit.keys():
final_data[currency]['deposit'] = raw_data_deposit[currency][
'count']
for currency in raw_data_swap.keys():
final_data[currency]['swap'] = raw_data_swap[currency]['count']
for currency in raw_data_create_validator.keys():
final_data[currency][
'create_validator'] = raw_data_create_validator[currency][
'count']
if len(final_data.keys()) > 0:
with open(
os.path.join(
STORE_FINAL_DATA_TRANSACTIONS,
date_to_process.strftime('%Y-%m-%d') + '.json'),
'a') as file:
file.write(json.dumps(final_data))
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def update_realized_market_capitalization():
os.makedirs(STORE_REALIZED_MARKET_CAP_DATA, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0,
minute=0,
second=0,
microsecond=0,
tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process,
date_last_processed + timedelta(days=1))
if date_to_process >= max_time:
return
state = _load_state(date_to_process)
log.debug('calculate: realized market cap')
while not stop_processing:
transactions = get_transaction_data(
date_to_process, type_filter=['bank_MsgMultiSend', 'bank_MsgSend'])
log.debug('processing realized market cap for: ' +
str(date_to_process))
for transaction in transactions:
start_date = datetime.now()
type = transaction[0]
block = transaction[1]
timestamp = transaction[2]
tx_hash = transaction[3]
amount = int(transaction[4])
currency = transaction[5]
from_address = transaction[6]
to_address = transaction[7]
tax_amount = int(transaction[8])
tax_currency = transaction[9]
price = 0.1
# TODO get the correct market price per token per date
# first_market_price_date = get_first_market_price_date(symbol)
#
# if not first_market_price_date:
# log.debug("no market price available")
# return
#
# if int(timestamp) < first_market_price_date.timestamp():
#
# if init_price:
# price = init_price
# else:
# price = 0
# else:
# price = get_local_exchange_rate(symbol, datetime.utcfromtimestamp(int(timestamp)))
if currency not in state.keys():
state[currency] = {}
if from_address in state[currency].keys():
from_account = state[currency][from_address]
else:
from_account = None
if to_address in state[currency].keys():
to_account = state[currency][to_address]
else:
to_account = {
'balance': 0,
'data': [],
}
state[currency][to_address] = to_account
#
# add transaction to the from-account
#
if from_account:
remaining_value = amount
while remaining_value > 0:
try:
from_amount = from_account['data'][0][1]
except Exception:
# log.debug(transaction)
break
if remaining_value < from_amount:
from_account['data'][0][1] -= remaining_value
remaining_value = 0
from_account['data'][0][2] = price
else:
remaining_value -= from_amount
from_account['data'] = from_account['data'][1:]
from_account['balance'] = max(
0,
int(from_account['balance']) - amount)
#
# add transaction to the to-account
#
to_account['data'].append([timestamp, amount, price])
to_account['balance'] = int(to_account['balance']) + amount
end_date = datetime.now()
# print('calculation time: ' + str((end_date - start_date).total_seconds() * 1000))
#
# all transactions are processed, saving state to a file
#
_save_state(date_to_process, state)
date_to_process = date_to_process + timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
def calculate_daily_transaction_data():
# symbol = token['symbol']
# symbol_file = STORE_DIRECTORY + symbol
os.makedirs(STORE_DAILY_TRANSACTIONS_DIRECTORY, exist_ok=True)
max_time = datetime.utcnow()
max_time = max_time.replace(hour=0, minute=0, second=0, microsecond=0, tzinfo=pytz.UTC)
stop_processing = False
date_to_process = get_first_transaction_timestamp()
date_last_processed = _get_last_processed_date()
date_to_process = max(date_to_process, date_last_processed + timedelta(days=1))
log.debug('calculate: total amount of transactions per coin per type')
# TODO remove all lines from STORE_DAILY_PAYMENTS_DIRECTORY which are in the future from date_to_process
# TODO remove all files from STORE_DAILY_ADDRESS_PAYMENTS_DIRECTORY which are in the future from date_to_process
if date_to_process >= max_time:
return
# with open(symbol_file, 'a') as file:
while not stop_processing:
log.debug('analysing transaction data for ' + date_to_process.strftime('%Y-%m-%d'))
transactions = get_transaction_data(date_to_process)
types = dict()
for transaction in transactions:
type = transaction[0]
block = transaction[1]
timestamp = transaction[2]
tx_hash = transaction[3]
if type not in types.keys():
types[type] = {
'count': 0,
'currencies': dict(),
}
currency = None
if type == 'bank_MsgMultiSend':
currency = transaction[5]
elif type == 'bank_MsgSend':
currency = transaction[5]
elif type == 'distribution_MsgWithdrawDelegationReward':
currency = None
elif type == 'distribution_MsgWithdrawValidatorCommission':
currency = None
elif type == 'gov_MsgDeposit':
currency = transaction[7]
elif type == 'gov_MsgSubmitProposal':
currency = None
elif type == 'market_MsgSwap':
currency = None
elif type == 'oracle_MsgDelegateFeedConsent':
currency = None
elif type == 'oracle_MsgExchangeRatePrevote':
currency = transaction[5]
elif type == 'oracle_MsgExchangeRateVote':
currency = transaction[5]
elif type == 'staking_MsgCreateValidator':
currency = transaction[6]
elif type == 'staking_MsgDelegate':
currency = transaction[7]
elif type == 'staking_MsgEditValidator':
currency = None
if currency and currency not in types[type]['currencies']:
types[type]['currencies'][currency] = {
'count': 0,
}
if currency:
types[type]['currencies'][currency]['count'] += 1
else:
types[type]['count'] += 1
# print(types)
for type in types.keys():
os.makedirs(os.path.join(STORE_DAILY_TRANSACTIONS_DIRECTORY, type), exist_ok=True)
if len(types[type]['currencies']) > 0:
for currency in types[type]['currencies']:
with open(os.path.join(STORE_DAILY_TRANSACTIONS_DIRECTORY, type, currency + '.csv'), 'a') as file:
file.write(','.join([date_to_process.strftime('%Y-%m-%d'),
str(types[type]['currencies'][currency]['count']),
]) + '\n')
else:
with open(os.path.join(STORE_DAILY_TRANSACTIONS_DIRECTORY, type, 'default.csv'), 'a') as file:
file.write(','.join(
[date_to_process.strftime('%Y-%m-%d'),
str(types[type]['count']),
]) + '\n')
date_to_process += timedelta(days=1)
if date_to_process >= max_time:
stop_processing = True
