Note: we may not use this, depending on results of getting df-py to run in C2D stack (gh issue).
This is part of the super-epic "Decentralized Compute - RF+DF Calculations" (link). In that epic, we'll do tech spikes on web3 logic (eg k33pr, gelato), web3 compute (ideally ocean c2d), and web3 tables. The overall goal is a trustless decentralized data pipeline to compute DF rewards.
For this issue, the goal is to investigate web3 tables: tableland.xyz, weave_db, others.
They can be more immediately useful as well: we can replace df-sql with this for our existing flow. It will be a nice stepping stone to the super-epic.
When we decentralize DF, this work is only one possible set of tools to help. Closing this issue, instead use the higher-level epic to prioritize tech spikes to explore possibilities.
Note: we may not use this, depending on results of getting df-py to run in C2D stack (gh issue).
This is part of the super-epic "Decentralized Compute - RF+DF Calculations" (link). In that epic, we'll do tech spikes on web3 logic (eg k33pr, gelato), web3 compute (ideally ocean c2d), and web3 tables. The overall goal is a trustless decentralized data pipeline to compute DF rewards.
For this issue, the goal is to investigate web3 tables: tableland.xyz, weave_db, others.
They can be more immediately useful as well: we can replace df-sql with this for our existing flow. It will be a nice stepping stone to the super-epic.
To investigate: