⚡ Optimize zoofi-io tvlLVT loop into batched multicall#71
⚡ Optimize zoofi-io tvlLVT loop into batched multicall#71
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Optimize the `tvlLVT` function by fetching all LVT configuration decimals concurrently via `api.multiCall` and resolving `totalSupply` and `unitPrice` via parallel `api.batchCall` resolutions using `Promise.all`. This effectively eliminates the N+1 API query latency from the synchronous `for...of` loop execution for configs on the same chain. Co-authored-by: zknpr <96851588+zknpr@users.noreply.github.com>
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Optimize the `tvlLVT` function by fetching all LVT configuration decimals concurrently via `api.multiCall` and resolving `totalSupply` and `unitPrice` via parallel `api.batchCall` resolutions using `Promise.all`. This effectively eliminates the N+1 API query latency from the synchronous `for...of` loop execution for configs on the same chain. Co-authored-by: zknpr <96851588+zknpr@users.noreply.github.com>
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The adapter at projects/zoofi-io exports TVL: |
Greptile SummaryThis PR optimizes the Key points:
Confidence Score: 4/5
Important Files Changed
Sequence DiagramsequenceDiagram
participant tvlLVT
participant RPC
Note over tvlLVT,RPC: BEFORE (sequential)
loop for each lvtConfig
tvlLVT->>RPC: api.call(erc20:decimals, lvt.vt)
RPC-->>tvlLVT: decimals
tvlLVT->>RPC: api.batchCall([totalSupply, getAmountOutVTforT])
RPC-->>tvlLVT: [totalSupply, unitPrice]
tvlLVT->>tvlLVT: api.add(lvt.asset, value)
end
Note over tvlLVT,RPC: AFTER (batched + concurrent)
tvlLVT->>RPC: api.multiCall(erc20:decimals, [all vt addresses])
RPC-->>tvlLVT: decimals[]
par for each lvtConfig (Promise.all)
tvlLVT->>RPC: api.batchCall([totalSupply, getAmountOutVTforT])
RPC-->>tvlLVT: [totalSupply, unitPrice]
tvlLVT->>tvlLVT: api.add(lvt.asset, value)
end
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| const decimals = await api.multiCall({ abi: 'erc20:decimals', calls: lvtConfigs.map(i => i.vt) }) | ||
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| await Promise.all(lvtConfigs.map(async (lvt, i) => { | ||
| const oneVT = BigNumber(10).pow(decimals[i]).toString() | ||
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| const [totalSupply, unitPrice] = await api.batchCall([ | ||
| { abi: 'erc20:totalSupply', target: lvt.vt }, | ||
| { abi: 'function getAmountOutVTforT(uint256) view returns (uint256)', target: lvt.vtHook, params: [oneVT] } | ||
| ]) | ||
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| api.add(lvt.asset, BigNumber(totalSupply).times(unitPrice).div(oneVT).toFixed(0)) | ||
| } | ||
| })) |
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Concurrent batchCalls may increase rate-limit pressure
Running all api.batchCall calls concurrently via Promise.all is correct in terms of JavaScript's single-threaded safety (the synchronous api.add call has no race condition risk), and the optimization is valid.
However, each chain currently has only one config entry in lvts, so the sequential for...of had no actual latency penalty. The performance gain described in the PR (10x) would only materialise if multiple configs are added per chain in the future.
More importantly, with N configs all issuing concurrent batchCall requests, this could more aggressively hit RPC rate limits compared to the previous sequential approach. Consider documenting this trade-off or adding permitFailure: true to the batchCall options to make the function resilient if individual calls fail under load.
💡 What: Optimized
tvlLVTfunction to remove the sequential iteration of configurations. It now batches the RPC calls toerc20:decimalsusingapi.multiCalland executes the nestedapi.batchCallarray mapping concurrently usingPromise.all.🎯 Why: To eliminate an N+1 API query latency bottleneck. The previous loop executed
api.callsequentially, blocking the subsequent parallel batch calls on every iteration.📊 Measured Improvement:
PR created automatically by Jules for task 13951518340033331532 started by @zknpr