mirror of
https://github.com/bitromortac/lndmanage.git
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33ecc4ebc3
* adapt base fees * adapt fee rates * add method for tracking fee history * set fees on a per peer basis
88 lines
2.8 KiB
Python
88 lines
2.8 KiB
Python
from unittest import TestCase
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import logging
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import sys
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from lndmanage.lib.fee_setting import delta_demand, delta_min, optimization_parameters
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logger = logging.getLogger()
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logger.level = logging.DEBUG
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logger.addHandler(logging.StreamHandler(sys.stdout))
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class TestFeeSetter(TestCase):
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def test_delta_min(self):
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cap = 2000000
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# maximal upward adjustment for empty local balance
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self.assertAlmostEqual(
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1 + optimization_parameters["delta_min_up"],
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delta_min(optimization_parameters, local_balance=0, capacity=cap),
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)
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# no adjustment if local balance is balance reserve
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self.assertAlmostEqual(
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1,
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delta_min(
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optimization_parameters,
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local_balance=optimization_parameters["local_balance_reserve"],
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capacity=cap,
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),
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)
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# maximal downward adjustment for full local balance
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self.assertAlmostEqual(
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1 - optimization_parameters["delta_min_dn"],
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delta_min(optimization_parameters, local_balance=cap, capacity=cap),
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)
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def test_factor_demand_fee_rate(self):
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cap = 2000000
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interval_days = 7
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# maximal downward adjustment for full local balance and no demand
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self.assertAlmostEqual(
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1 - optimization_parameters["delta_min_dn"],
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delta_demand(
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optimization_parameters,
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time_interval=interval_days,
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amount_out=0,
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local_balance=cap,
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capacity=cap,
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),
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places=6,
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)
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# maximal upward adjustment in the case of empty local balance and no demand
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self.assertAlmostEqual(
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1 + optimization_parameters["delta_min_up"],
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delta_demand(
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optimization_parameters,
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time_interval=interval_days,
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amount_out=0,
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local_balance=0,
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capacity=cap,
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),
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places=6,
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)
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# optimal amount: no change
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self.assertAlmostEqual(
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1,
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delta_demand(
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optimization_parameters,
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time_interval=interval_days,
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amount_out=optimization_parameters["r_t"] * interval_days,
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local_balance=cap,
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capacity=cap,
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),
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places=6,
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)
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# maximal demand: highest change
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self.assertAlmostEqual(
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optimization_parameters["delta_max"],
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delta_demand(
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optimization_parameters,
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time_interval=interval_days,
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amount_out=1000000,
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local_balance=cap,
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capacity=cap,
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),
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places=6,
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)
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