Skip to content

adjust bribe threshold calc params #157

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
jalbrekt85 merged 3 commits into from
Jan 28, 2026
Merged

adjust bribe threshold calc params #157

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
c9f27b2
increase amount of rounds threshold calc considers, add block num param
jalbrekt85 Jan 25, 2026
a01e4c3
style: ci lint with `black`
jalbrekt85 Jan 25, 2026
174c0a8
skip monad in tests
jalbrekt85 Jan 25, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 5 additions & 6 deletions bal_tools/ecosystem.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -200,7 +200,7 @@ class StakeDAO:
def __init__(self):
self.subgraph = Subgraph()

def get_aura_max_votes_from_snapshot(self, n_rounds: int = 2) -> int:
def get_aura_max_votes_from_snapshot(self, n_rounds: int = 5) -> int:
data = self.subgraph.fetch_graphql_data(
subgraph="snapshot",
query="get_aura_gauge_proposals",
Expand All @@ -211,7 +211,7 @@ def get_aura_max_votes_from_snapshot(self, n_rounds: int = 2) -> int:
raise ValueError("No Aura gauge weight proposals found on Snapshot")
return int(max(p["scores_total"] for p in proposals if p.get("scores_total")))

def get_cpv_from_analytics(self, n_rounds: int = 2) -> float:
def get_cpv_from_analytics(self, n_rounds: int = 4) -> float:
metadata_url = f"{self.ANALYTICS_BASE_URL}/rounds-metadata.json"
response = requests.get(metadata_url, timeout=30)
response.raise_for_status()
Expand All @@ -233,15 +233,14 @@ def get_cpv_from_analytics(self, n_rounds: int = 2) -> float:
return statistics.mean(cpv_values)

def calculate_dynamic_min_incentive(
self, n_rounds: int = 2, buffer_pct: float = 0.5
self, n_rounds: int = 4, buffer_pct: float = 0.5, block_number: int = None
) -> int:
max_votes = self.get_aura_max_votes_from_snapshot(n_rounds)
avg_cpv = self.get_cpv_from_analytics(n_rounds)

web3 = Web3RpcByChain(os.getenv("DRPC_KEY"))["mainnet"]
aura_vebal_share = float(
self.subgraph.calculate_aura_vebal_share(web3, web3.eth.block_number)
)
block = block_number if block_number else web3.eth.block_number
aura_vebal_share = float(self.subgraph.calculate_aura_vebal_share(web3, block))

min_aura_portion = max_votes * 0.001 * (1 + buffer_pct) * avg_cpv
min_total_bribe = min_aura_portion / aura_vebal_share
Expand Down
2 changes: 1 addition & 1 deletion tests/conftest.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@

load_dotenv()

exempt_chains = ["fantom", "goerli", "sonic"]
exempt_chains = ["fantom", "goerli", "sonic", "monad"]
chains = [chain for chain in list(chain_ids_by_name()) if chain not in exempt_chains]


Expand Down