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This project forked from dedaub/multicall.py
aggregate results of multiple smart contract calls into one (now with caching)
License: MIT License
Python 83.20%
Jupyter Notebook 16.80%
multicallcache.py's Introduction
- Add pythonic data types to database in addition to (perhaps instead of?) the raw bytes response
- Cache.py and Call.py circular import issue
- Make sure the same variables have the same names across methods
- Move cache_path to environ variables
- Make an example notebook demoing behavior
- Make a package for pip
- Move Database creating script from jupyter to a .py file
- Add verbose doc strings to high level methods
- Make all functions designed for internal use prefixed by
_ consider double __ prefix for helper methods only to be used within the file.
- Delete all commented out code
- Make a short youtube video demoing why this is useful
- Stretch goal: Add some basic sql querying functionality in example notebook
- Maybe some kind of lock that prevents writing to the DB without going through official means.
- Add testing for other chains
- Add testing for blocks before multicall contracts where deployed. Currently calls fails before 12336033,
- Minimize RPC calls for finalized blocks, maybe query finalized block at import time, and only update if asked to?
- Add testing for caching behavior of
multicall.Call.__call__. Make sure to delete cached data after testing.
- in .
__call__() first try to read from disk.
- Don't fail on >5000 calls within the same Multicall in the same block.
- Make robust to RPC call timeouts and failures on the node provider's end
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