Move user stats from airflow to squid

[nud3l]

Track user accounts over time with the following data:

User

• [ ] active: boolean: true if a user account ever made a transaction (event Tokens.Transfer)
• [ ] vault: number: increment for every vault that this account has registered (event VaultRegistry.VaultRegistered)
• [ ] issued: number: increment for every issue request made by this account (event Issue.ExecuteIssue)
• [ ] redeemed: number: increment for every redeem request made by this account (event Redeem.ExecuteRedeem)
• [ ] bridged: number: increment for every issue or redeem request made by this account (event Issue.ExecuteIssue and Redeem.ExecuteRedeem)
• [ ] staked: number: increment when a user stakes INTR/KINT (event Escrow.Deposit)
• [ ] voted: number: increment when a user votes in a governance proposal (event missing)
• [ ] lend: number: increment when a user deposits funds into the lending protocol (event Loans.Deposited)
• [ ] borrowed: number: increment when a user borrows funds (event Loans.Borrowed)
• [ ] swapped: number: increment when a user does a swap (event DexGeneral.AssetSwap DexStable.CurrencyExchange)
• [ ] lp: number: increment when a user supplies liquidity (event DexGeneral.LiquidityAdded DexStable.AddLiquidity)
• [ ] crowdloan: boolean: true if the user has a vesting schedule (event Vesting.VestingScheduleAdded)

We do this in airflow at the moment, but it's pretty terrible in terms of complexity: it grows linear with the amount of users, amount of transactions, ... and will eventually run way too long. We can do it with a lot less overhead in squid.

[nud3l]

I actually got it to work in airflow, mostly. The only thing that did not work well is the LP positions but I will create a separate issue for that.