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Expose APIs for working with transaction proposals #1382
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utACK with questions that we should probably create follow-up issues to address.
usk: spendingKey | ||
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return txId | ||
logger.debug("transaction id: \(txId)") | ||
return [try await repository.find(rawID: txId)] |
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Does repository.find
throw if it cannot find the txid? I would think that ideally that would return an optional result, so that "not found" is distinguished from "error" (though in this particular case you'd want to throw an error anyway, so it's nonblocking for now.)
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We shouldn't encounter this case (successful wallet DB lookup that returns no result) because if we reach here, the transaction was successfully created by the Rust backend (and didn't itself result in an exception). Any exception thrown here would instead be due to database access failures, which are indeed exceptions.
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utACK modulo comments.
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Force-pushed to address review comments. |
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} | ||
} | ||
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public extension Proposal { |
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I would advise not to expose this publicly.
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If you have a suggestion for how to avoid exposing this publicly, I'm all ears. The constraint here is Zashi iOS using TCA, which needs to be able to construct mock data to be returned from its mock implementation of the Synchronizer
protocol for use in e.g. preview of UIs (so we can't just return something that would be an error case).
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NOTE: I don't know which things you've tried and which ones you haven't, but there are a few things I can think from the top of my head. I promise I'll look this deeper shortly. I might be still lacking context and this could be somewhat inaccurate or insufficient.
A. "Uncle bob's Clean code" approach
Treat the whole SDK as an external dependency under the principle of Bob Martin's clean code architecture. Look at the problem as you were Unstoppable or EDGE and you don't control the dependency. Wrap around it and have a shim that you Do control and use that instead.
B. Pointfree.co / TCA approach.
Make proposal on the SDK Protocol. The SDK returns an implementation of it. Then use a protocol witness or a mock implementation on Zashi to provide the mocked version that you need.
A and B
Make a protocol on Zashi for what the app expects of a proposal. This propocol contains a throwing toProposal()
function.
Make an Adapter of the SDK's Proposal type that conforms to Zashi's.
Make a Mock implementation for testing on Zashi that throws whenever toProposal()
is invoked. If by mistake this ever happens and a mocked proposal is sent in production you can see the error and flag it as critical in Crash reporting platform.
Or better, the testing code is never available in outside of the testing target.
- Returns `null` when there are no funds to shield or the shielding threshold is not met. - Throws an exception if there are funds to shield in more than one transparent receiver within the account. - Has an optional parameter for specifying which transparent receiver to shield funds from. This commit only alters the API to support the above; the functional changes require modifying the FFI and Rust backend, which will happen in a separate commit.
Closes #1186.
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Force-pushed to clean up the commits. |
Includes: - Multi-step transaction proposals. - Changes to support `Synchronizer.proposeShielding` API changes.
I tested all 5 APIs while working on adoption of this PR (e9177a2) in Zashi. I can confirm
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Before we merge this, I'm going to add a helper method to |
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cursory utACK, modulo @pacu's comments
var iterator = transactions.makeIterator() | ||
var submitFailed = false | ||
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return AsyncThrowingStream() { |
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I don't understand exactly how AsyncThrowingStream
works - is it something whereby each time you poll it it invokes this block?
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It's async stream and there's a very specific way how to work with it. The stream emits values until it finishes (nil value is emitted). And a client awaits it until the nil is emitted (or an error in case of AsyncThrowingStream - throwing means this stream can emit an error, another stream is AsyncStream which ends only when nil is emitted).
So technically speaking, typically it's not known how many values are emitted, it usually even doesn't matter because the use of stream is implemented as
for try await value in stream { }
This for
will end at some point in the future, the stream can emit 1, 5 or 5M values. The processing lives in an async context so it's not blocking.
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re-utACK 72acbc6
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Force-pushed to remove the 2.0.11 changelog bump, as @LukasKorba will make a few other release updates before the actual release commit. |
Closes #1343.
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