lido-sdk 2.5.0

This library consolidates various functions to efficiently load network data for Lido, validate node operator keys and find key duplicates.

 Lido Python SDK

This repo provides a scratch of a Python project. Its purpose is to serve as starting point for the development of a Python project based on a minimal working structure.

Installation

This library is available on PyPi:

pip install lido-sdk

Fast start

1. Create Web3 provider. One of fast options to start is INFURA.

from web3 import Web3
# 
w3 = Web3(Web3.HTTPProvider('https://mainnet.infura.io/v3/{INFURA_PROJECT_ID}'))

2. Create Lido instance and provide web3 provider

from lido_sdk import Lido

lido = Lido(w3)

3. Call one

response = lido.fetch_all_keys_and_validate()

if response['invalid_keys'] or response['duplicated_keys']:
    # This is not cool
    print('There is invalid or duplicated keys\n')
    print(response)
else:
    print('Everything is good!')

Params for Lido

Param name	Default value	Description
w3	required	Web3 provider
MULTICALL_MAX_BUNCH	275	Count of calls in one multicall (not recommended to increase)
MULTICALL_MAX_WORKERS	6	Count of requests in parallel (not recommended to have more than 12)
MULTICALL_MAX_RETRIES	5	Count of retries before exception will be raised
MULTICALL_POOL_EXECUTOR_TIMEOUT	30	Thread pool timeout for multicall (seconds)
VALIDATE_POOL_EXECUTOR_TIMEOUT	10	Process pool timeout for keys validation (seconds)

Settings example if timeout exception was raised:

Lido(w3=w3, MULTICALL_MAX_BUNCH=100, MULTICALL_MAX_WORKERS=3)

Base methods

Everything you need is in Lido class.

• Lido.get_operators_indexes(self) -> List[int]
  Returns: Node operators indexes in contract.

>>> lido.get_operators_indexes()

[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

• Lido.get_operators_data(self, operators_indexes: Optional[List[int]] = None) -> List[Operator]
  Receives: List of operators indexes. If nothing provided will take previous return from get_operators_indexes method.
  Returns: List of operators details.

>>> lido.get_operators_data([1])

[{'active': True, 'name': 'Certus One', 'rewardAddress': '0x8d689476eb446a1fb0065bffac32398ed7f89165', 'stakingLimit': 1000, 'stoppedValidators': 0, 'totalSigningKeys': 1000, 'usedSigningKeys': 1000, 'index': 1}]```

• Lido.get_operators_keys(self, operators: Optional[List[Operator]] = None) -> List[OperatorKey] Receives: List of operators details. If nothing provided will take previous return from get_operators_data method. Returns: List of keys in contract.

>>> lido.get_operators_keys(operators_data)

[{'key': b'...', 'depositSignature': b'...', 'used': False, 'index': 6921, 'operator_index': 8}, ...]

• Lido.update_keys(self) -> List[OperatorKey]
  Returns actual keys list. Works only in get_operators_keys was called before. Should be used to periodically update keys. Faster because not all keys are updated from the contract.

>>> lido.update_keys()

[{'key': b'...', 'depositSignature': b'...', 'used': False, 'index': 6521, 'operator_index': 5}]

• Lido.validate_keys(self, keys: Optional[List[OperatorKey]] = None) -> List[OperatorKey]
  Receives: List of keys to validate. If nothing provided will take previous return from get_operators_keys method.
  Returns: List of invalid keys.

>>> lido.validate_keys()

[{'key': b'...', 'depositSignature': b'...', 'used': False, 'index': 6521, 'operator_index': 5}]

• Lido.find_duplicated_keys(self, keys: Optional[List[OperatorKey]] = None) -> List[Tuple[OperatorKey, OperatorKey]]
  Receives: List of keys to compare. If nothing provided will take previous return from get_operators_keys method.
  Returns: List of same pairs keys.

>>> lido.find_duplicated_keys()

[
    (
        {'key': b'abc...', 'index': 222, 'operator_index': 5, ...}, 
        {'key': b'abc...', 'index': 111, 'operator_index': 5, ...}
    )
]

• Lido.get_status(self) -> dict
  Returns dict with Lido current state.

>>> lido.get_status()

{
    'isStopped': False, 
    'totalPooledEther': 1045230979275869331637351, 
    'withdrawalCredentials': b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xb9\xd7\x93Hx\xb4\xfb\x96\x10\xb3\xfe\x8a^D\x1e\x8f\xad~)?', 
    'bufferedEther': 76467538672788331637351, 
    'feeBasisPoints': 1000, 
    'treasuryFeeBasisPoints': 0, 
    'insuranceFeeBasisPoints': 5000, 
    'operatorsFeeBasisPoints': 5000, 
    'depositedValidators': 29800, 
    'beaconValidators': 29800, 
    'beaconBalance': 968763440603081000000000, 
    'last_block': 13110151, 
    'last_blocktime': 1630103538,
}

• Lido.fetch_all_keys_and_validate(self) -> Dict[str, list]
  Makes all steps below except get_status.
  Returns all invalid and duplicated keys.

>>> lido.fetch_all_keys_and_validate()

{
    'invalid_keys': [...],
    'duplicated_keys': [...],
}

Main Features

Multicall Function Calls

• Instead of making network requests one-by-one, this library combines many requests into one RPC call. It uses banteg/multicall.py, a Python wrapper for makerdao/multicall.
• Fast validation system powered by blst

Automatic Testnet / Mainnet Switching

Depending on which network is configured in web3 object, a set of contracts will be used. Available networks:

• Mainnet
• Görli
• Ropsten
• Rinkeby

Development

Clone project:

git clone [e-mail]:lidofinance/lido-python-sdk.git
cd lido-python-sdk

Create virtual env:

virtualenv .env --python=python3
source .env/bin/activate

Install all dependencies:

  poetry install

Activate virtual env

  poetry shell

Build blst locally (linux):

  cd blst/
  ./build.sh
  cd ..
  mkdir -p ./blst-lib/linux/
  cp ./blst/libblst.a           ./blst-lib/linux/
  cp ./blst/bindings/blst.h     ./blst-lib/
  cp ./blst/bindings/blst.hpp   ./blst-lib/
  cp ./blst/bindings/blst_aux.h ./blst-lib/
  python setup.py build_ext --inplace

Build blst locally (osx):

  cd blst/
  ./build.sh
  cd ..
  mkdir -p ./blst-lib/darwin/
  cp ./blst/libblst.a           ./blst-lib/darwin/
  cp ./blst/bindings/blst.h     ./blst-lib/
  cp ./blst/bindings/blst.hpp   ./blst-lib/
  cp ./blst/bindings/blst_aux.h ./blst-lib/
  python setup.py build_ext --inplace

How to test

Simply run in project root directory:

poetry run pytest .

Release new version

git tag v2.x.x  master
git push --tags

New version should be published after all pipelines passed.