This repo is setup to make it easy to find up to date addresses at balancer.
The outputs directory has a number of different address books that you can use in code or with your eyeballs.
Have keys of deployment/contract as well as some other extra stuff all with / notation. It includes multisigs and signers known to the maxis as well as other addresses we have touched sorted by protocol.
Has all the addresses sorted into 2 dicts (active, and old). Each dict is then mapped like {chain:{deployment:{contract: address}}}
You can import this into python scripts by adding the following into your requirements.txt git+https://github.com/BalancerMaxis/bal_addresses
.
once imported like from bal_addresses import AddrBook
.
Then you can invoke the Address Book on a chain like so
a = AddrBook(chain_name)
where chain_name is one of the chains listed in AddrBook.CHAIN_IDS_BY_NAME.keys()
Then you can do this with the flatbook:
>>> a.flatbook["20230320-composable-stable-pool-v4/ComposableStablePoolFactory"]
'0xfADa0f4547AB2de89D1304A668C39B3E09Aa7c76'
>>> a.flatbook["multisigs/lm"]
'0xc38c5f97B34E175FFd35407fc91a937300E33860'
>>>
This with the reversebook:
>>> a.reversebook["0xfADa0f4547AB2de89D1304A668C39B3E09Aa7c76"]
'20230320-composable-stable-pool-v4/ComposableStablePoolFactory'
You can also use the structured data as follows
>>> r = a.dotmap
>>> r.multisigs
DotMap(lm='0xc38c5f97B34E175FFd35407fc91a937300E33860', dao='0x10A19e7eE7d7F8a52822f6817de8ea18204F2e4f', fees='0x7c68c42De679ffB0f16216154C996C354cF1161B', feeManager='0xf4A80929163C5179Ca042E1B292F5EFBBE3D89e6', karpatkey='0x0EFcCBb9E2C09Ea29551879bd9Da32362b32fc89', emergency='0xA29F61256e948F3FB707b4b3B138C5cCb9EF9888', maxi_ops='0x166f54F44F271407f24AA1BE415a730035637325', blabs_ops='0x02f35dA6A02017154367Bc4d47bb6c7D06C7533B', linearPoolController='0x75a52c0e32397A3FC0c052E2CeB3479802713Cf4')
>>> r.multisigs.dao
'0x10A19e7eE7d7F8a52822f6817de8ea18204F2e4f'
Note that for the deployments the dotmap has a problem with digit starting members. For this reason you have to use it like this
>>> r["20230320-composable-stable-pool-v4"]["ComposableStablePoolFactory"]
'0xfADa0f4547AB2de89D1304A668C39B3E09Aa7c76'
As you can see from the examples above, the dotmap works like a dict, so you can easily loop over any part of the structure.
from bal_addresses import AddrBook
a = AddrBook("mainnet")
r = a.dotmap
for contract, address in r["20230320-composable-stable-pool-v4"].items():
print(f"{contract} has {address}")
Returns
ComposableStablePoolFactory has 0xfADa0f4547AB2de89D1304A668C39B3E09Aa7c76
MockComposableStablePool has 0x5537f945D8c3FCFDc1b8DECEEBD220FAD26aFdA8
There is also search and lookup commands
>>> a.search_many("Composable")
{'20230320-composable-stable-pool-v4/ComposableStablePoolFactory': '0xfADa0f4547AB2de89D1304A668C39B3E09Aa7c76', '20230320-composable-stable-pool-v4/MockComposableStablePool': '0x5537f945D8c3FCFDc1b8DECEEBD220FAD26aFdA8', '20230206-composable-stable-pool-v3/ComposableStablePoolFactory': '0xdba127fBc23fb20F5929C546af220A991b5C6e01', '20230206-composable-stable-pool-v3/MockComposableStablePool': '0x222bc81C6F3C17e9e9Aba47a12f55a1Dea42f163', '20220906-composable-stable-pool/ComposableStablePoolFactory': '0xf9ac7B9dF2b3454E841110CcE5550bD5AC6f875F', '20221122-composable-stable-pool-v2/ComposableStablePoolFactory': '0x85a80afee867aDf27B50BdB7b76DA70f1E853062', '20221122-composable-stable-pool-v2/MockComposableStablePool': '0x373b347bc87998b151A5E9B6bB6ca692b766648a'}
>>> a.search_many("GaugeAdder")
{'20230109-gauge-adder-v3/GaugeAdder': '0x5efBb12F01f27F0E020565866effC1dA491E91A4', '20220325-gauge-adder/GaugeAdder': '0xEd5ba579bB5D516263ff6E1C10fcAc1040075Fe2', '20220628-gauge-adder-v2/GaugeAdder': '0x2fFB7B215Ae7F088eC2530C7aa8E1B24E398f26a'}
>>> a.search_unique("GaugeControl")
'20220325-gauge-controller/GaugeController'
>>> a.latest_contract("Vault")
'0xBA12222222228d8Ba445958a75a0704d566BF2C8'
>>> a.reversebook[a.latest_contract("ComposableStablePoolFactory")]
'20230320-composable-stable-pool-v4/ComposableStablePoolFactory'
>>>
Most of the other functions are used by a github action which regenerates files read in by those 2 functions on a weekly basis. You can explore them if you would like.
.deployments
attribute is an object that is lazy loaded on first access.
It has first class support in IDEs, so you can use it as a normal object.
To use deployments information you can do the following:
from bal_addresses.addresses import AddrBook
a = AddrBook("mainnet")
# At the stage when you try to access the deployments, the data will be loaded:
a.deployments
Now you can extract information:
>>> a.deployments.vault.contracts.Vault.address
'0xBA12222222228d8Ba445958a75a0704d566BF2C8'
>>> a.deployments.vault.contracts.Vault.name
'Vault'