lido-sdk 0.2.2

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

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.

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

Helpers Provided

• lido.get_operators_data() -> operator_data - load node operator data

• lido.get_operators_keys(operator_data) -> operator_data - fetches and adds keys to operator_data

• lido.validate_keys(operator_data, strict = False) -> [] - same as validate_keys_multi(), but returns a list of invalid keys
  (IN PROGRESS)

• lido.validate_key(chain_id, key, withdrawal_credentials) -> Boolean - low-level validation function, doesn't check for correct chain_id and withdrawal_credentials for a Lido deployment. For most use-cases use validate_keys_multi or validate_key_list_multi instead

• lido.find_duplicates(operator_data) -> operator_data - finds duplicate keys and adds results to operator_data

• lido.fetch_and_validate() -> operator_data - combines fetching operator data and running all validations on it - useful when you would be running all validations on data anyway

• lido.get_stats() -> stats - fetches various constants from Lido contract, but you can even pass a list of functions to fetch eg get_stats(["isStopped"])

You can mix and match these functions, but make sure to use get_operators_data() first.

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:

  pip install -r requirements.txt
  pip install -r requirements-dev.txt

How to test

Simply run in project root directory:

pytest .