-
Notifications
You must be signed in to change notification settings - Fork 33
/
system_metrics.py
192 lines (157 loc) · 6.9 KB
/
system_metrics.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
"""
# System Metrics
Calculation of metrics such as validator operational costs and yields.
"""
import typing
import model.constants as constants
from model.types import Percentage, Gwei
def policy_validator_costs(
params, substep, state_history, previous_state
) -> typing.Dict[str, any]:
"""
## Validator Costs Policy Function
Calculate the aggregate validator costs.
"""
# Parameters
dt = params["dt"]
validator_percentage_distribution = params["validator_percentage_distribution"]
validator_hardware_costs_per_epoch = params["validator_hardware_costs_per_epoch"]
validator_cloud_costs_per_epoch = params["validator_cloud_costs_per_epoch"]
validator_third_party_costs_per_epoch = params[
"validator_third_party_costs_per_epoch"
]
# State Variables
eth_price = previous_state["eth_price"]
number_of_validators = previous_state["number_of_active_validators"]
total_online_validator_rewards = previous_state["total_online_validator_rewards"]
# Calculate hardware, cloud, and third-party costs per validator type
validator_count_distribution = (
number_of_validators * validator_percentage_distribution
)
validator_hardware_costs = (
validator_count_distribution * validator_hardware_costs_per_epoch * dt
)
validator_cloud_costs = (
validator_count_distribution * validator_cloud_costs_per_epoch * dt
)
validator_third_party_costs = (
validator_percentage_distribution
* validator_third_party_costs_per_epoch # % of total
* total_online_validator_rewards
)
validator_third_party_costs /= constants.gwei # Convert from Gwei to ETH
validator_third_party_costs *= eth_price # Convert from ETH to Dollars
# Calculate total validator costs per validator type and total network costs
validator_costs = (
validator_hardware_costs + validator_cloud_costs + validator_third_party_costs
)
total_network_costs = validator_costs.sum(axis=0)
return {
"validator_count_distribution": validator_count_distribution,
"validator_hardware_costs": validator_hardware_costs,
"validator_cloud_costs": validator_cloud_costs,
"validator_third_party_costs": validator_third_party_costs,
"validator_costs": validator_costs,
"total_network_costs": total_network_costs,
}
def policy_validator_yields(
params, substep, state_history, previous_state
) -> typing.Dict[str, any]:
"""
## Validator Yields Policy Function
Calculate the aggregate validator revenue and profit yields.
"""
# Parameters
dt = params["dt"]
validator_percentage_distribution = params["validator_percentage_distribution"]
# State Variables
eth_price = previous_state["eth_price"]
eth_staked = previous_state["eth_staked"]
validator_costs = previous_state["validator_costs"]
total_network_costs = previous_state["total_network_costs"]
total_online_validator_rewards = previous_state["total_online_validator_rewards"]
validator_count_distribution = previous_state["validator_count_distribution"]
average_effective_balance = previous_state["average_effective_balance"]
# Calculate ETH staked per validator type
validator_eth_staked = validator_count_distribution * average_effective_balance
validator_eth_staked /= constants.gwei # Convert from Gwei to ETH
# Calculate the revenue per validator type
validator_revenue = (
validator_percentage_distribution * total_online_validator_rewards
)
validator_revenue /= constants.gwei # Convert from Gwei to ETH
validator_revenue *= eth_price # Convert from ETH to Dollars
# Calculate the profit per validator type
validator_profit = validator_revenue - validator_costs
# Calculate the revenue yields per validator type
validator_revenue_yields = validator_revenue / (validator_eth_staked * eth_price)
validator_revenue_yields *= constants.epochs_per_year / dt # Annualize value
# Calculate the profit yields per validator type
validator_profit_yields = validator_profit / (validator_eth_staked * eth_price)
validator_profit_yields *= constants.epochs_per_year / dt # Annualize value
# Calculate the total network revenue
total_revenue = validator_revenue.sum(axis=0)
# Calculate the total network profit
total_profit = total_revenue - total_network_costs
# Calculate the total network revenue yields
total_revenue_yields = total_revenue / (eth_staked * eth_price)
total_revenue_yields *= constants.epochs_per_year / dt # Annualize value
# Calculate the total network profit yields
total_profit_yields = total_profit / (eth_staked * eth_price)
total_profit_yields *= constants.epochs_per_year / dt # Annualize value
return {
# Per validator type
"validator_eth_staked": validator_eth_staked,
"validator_revenue": validator_revenue,
"validator_profit": validator_profit,
"validator_revenue_yields": validator_revenue_yields,
"validator_profit_yields": validator_profit_yields,
# Aggregate
"total_revenue": total_revenue,
"total_profit": total_profit,
"total_revenue_yields": total_revenue_yields,
"total_profit_yields": total_profit_yields,
}
def policy_total_online_validator_rewards(
params, substep, state_history, previous_state
) -> typing.Dict[str, Gwei]:
"""
## Total Online Validator Rewards Policy Function
Calculate the aggregate total online validator rewards.
"""
# State Variables
validating_rewards = previous_state["validating_rewards"]
validating_penalties = previous_state["validating_penalties"]
whistleblower_rewards = previous_state["whistleblower_rewards"]
total_priority_fee_to_validators = previous_state[
"total_priority_fee_to_validators"
]
total_realized_mev_to_validators = previous_state[
"total_realized_mev_to_validators"
]
# Calculate total rewards for online validators
total_online_validator_rewards = (
validating_rewards
- validating_penalties
+ whistleblower_rewards
+ total_priority_fee_to_validators
+ total_realized_mev_to_validators * constants.gwei
)
return {"total_online_validator_rewards": total_online_validator_rewards}
def update_supply_inflation(
params, substep, state_history, previous_state, policy_input
) -> typing.Tuple[str, Percentage]:
"""
## Supply Inflation State Update Function
Update the annualized ETH supply inflation.
"""
# Policy Inputs
network_issuance = policy_input["network_issuance"]
# Parameters
dt = params["dt"]
# State Variables
eth_supply = previous_state["eth_supply"]
# Calculate the ETH supply inflation
supply_inflation = network_issuance / eth_supply
supply_inflation *= constants.epochs_per_year / dt # Annualize value
return "supply_inflation", supply_inflation