Smart contract developers often need to analyze their data. Assuming you are a developer from EigenLayer, and your community is requesting a comprehensive dashboard on how each wallet addresses stake with EigenLayer, here are the steps you can follow to accomplish this using the Hemera Protocol.
Create your data model
To store the result, we can design a simple data model
class DailyWalletTokenStaking(BaseModel):
date = Column(Date)
wallet_address = Column(String)
token_address = Column(String)
balance = Column(Numeric)
Understand your smart contract data
You must include all the transactions/logs/traces, which may change your output data. For your use case, you need to identify all the staking balance changes.
If you understand your contract well, you should figure out that this transaction will trigger a user-staking balance change.
To summarize, whenever you see a transaction that interacts with this specific address (EigenLayer: Strategy Manager) and calls this specific function (depositIntoStrategy) from your smart contract, you should update the user staking balance.
You can define this customized trigger within the indexer using this code.
The trigger can be a method in transactions, topics from logs, or even an action from the trace.
Write customize code
Now we can add our code and update our data model when an event is triggered. The event will pass transaction data/logs/traces to you.
You can write your customized code and update the data model you design.
# 0xe7a050aa is refering to the depositIntoStrategy
0x858646372CC42E1A627fcE94aa7A7033e7CF075A
(EigenLayer: Strategy Manager)
if transaction.to_address == "" and transaction.method_id == "0xe7a050aa":
# call update_daily_wallet_token_staking
update_daily_wallet_token_staking(transaction, logs, traces)
def update_daily_wallet_token_staking(
transaction: Transaction, logs: Log[], traces: Trace[]
):
# Get balance change from logs
# Update model
