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Graph/async-lifecycle-side-effects

AntiPattern

Async Cleanup And Side Effects

async-lifecycle-side-effects

Cleanup and state assumptions break across execution contexts: tasks/streams keep running or logs/UI updates diverge because lifecycle hooks are missing or interception happens too late. The result is stale side effects, invisible failures, and inconsistent counts/UI state.

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Public graph metadata

Updated6/24/2026

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30 linked nodes

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you can use Zustand getters and optimistic update — multiple or rapid clicks could actually cause the updates to be executed but out of order. Tension: no optimistic update so u see that delay (lag) you said about.

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Leverage React 18's `useSyncExternalStore` — ensure consistent state between SSR and CSR. Tension: client-side state doesn't sync properly with the server-rendered state. Outcome: to ensure consistent state between SSR and CSR.

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Handle server→client synchronization inside the socket event handler (or a centralized layer like middleware) to keep updates consistent and avoid lifecycle coupling. Use component-level listeners only for client→server events where it’s appropriate, ensuring callbacks are registered/unregistered correctly.

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Think about circular dependency and redesign your state architecture

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Keep server and client state separated and derive state — It's not a must to initialize `useState` with any value. Tension: The user hasn't made any changes yet. Outcome: meaning "the user hasn't made any changes yet".

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Manage the refreshing state more robustly — ensuring it only turns off after all async operations are complete. Tension: remove the arbitrary timeout. Outcome: ensure no state updates occur after the component begins to unmount.

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Wrap updates that suspend with startTransition

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it will be reset as soon as the current HTTP view is done. Tension: unless explicitly saved with something like a `contextvars.copy_context()` call while the task is active. Outcome: the forked context is disposed.

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Move the persistence/cleanup logic into code that runs at the end of the background task (or otherwise extend lifecycle explicitly for the background task), rather than relying on the request-scoped `asynccontextmanager` teardown for those updates.

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any time you have an I/O bound process with lots of idle time — waiting for user input, waiting for a TLS handshake. Tension: wrapping it in an async task can let other code run.

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Thread a second, lower-level liveness signal into the classifier — the timestamp of the last raw stdout byte from the child. Tension: Dead socket = no bytes = livenessAge grows = still aborts (correct). Alive-but-quiet = bytes flowing = livenessAge fresh = NOT aborted.

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No ref to prevent redundant state updates — `setState` inside an observer callback that runs on every scroll event. Tension: React still processes the `setState` call even if the value is the same. Outcome: const lastIdRef = useRef(null);.

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Persist and rehydrate the complete store state with the exact `RootState` structure (or adjust the `preloadedState` typing/shape to match what you load). Ensure `loadState` returns the full expected state object rather than only `tasks`.

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Keep two listeners or refactor so one wrapper function registers both listeners that call the same shared effect logic; alternatively, create a single predicate/matcher that encompasses both conditions if feasible.

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depending on your latency budget. Outcome: Same idea, but the state lives outside the process boundary.

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Update the messages state using a functional state updater so it always filters the latest state, and ensure any derived `children`/wrapper state is computed from the current children rather than reused/stored stale values.

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Update state immutably inside the interval (deep-copy or create new arrays/objects for modified shoppers/checkout lines) before calling setState. Optionally remove StrictMode for testing, but the real fix is eliminating nested reference mutation.

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Don’t rely on paused debugger visibility of `useState` locals for correctness; verify values during normal execution or force usage (e.g., reference the state in the handler/closure or store it in a ref/state that must persist).

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after the system restarts. Tension: wouldn't it be a waste of DB space if I'm storing millions of tasks that I only ever need to process once. Outcome: store the last offset in cache and then continue processing data from the last checkpoint.

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the intermediate operation, peek, does not inject into or remove elements from the stream. Tension: no need to execute the pipeline and, as a side-effect, print out the list elements. Outcome: Behavioral parameters with side-effects, which are strongly discouraged except for harmless cases such as debugging, may be affected.

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Outcome: cache.clear().

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Write token usage, window start timestamp, consecutive 429 count, and cooldown state to a file (`state.json`) on every mutation. — without this, every restart is a full reset. Tension: every restart is a full reset. Outcome: Restore on startup, expiring the window if its timestamp is stale.

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Use Component.Task (TaskSource) for all async work inside components — inside components. Tension: it auto-cancels when the component is destroyed.

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CollectSyncState() iterates all components, finds [Sync] properties without [Property], serializes them to JSON — in SaveSystem.cs. Tension: Use JSON serialization first, with a ByteStream/BytePack fallback for types that don't serialize cleanly to JSON. Outcome: RestoreSyncState() is called before RestoreNetworkOwnership() in the Load path.

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record that the side effect fired, check before firing again — awarding XP, delivering a notification, processing a queue item. Outcome: All three are instances of the same principle.

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Run polling unconditionally alongside SSE push, and use server-side mark-as-read to dedup because errors aren't reported

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the snapshot was set to a partial dataset (nodes but zero edges) — after the stream actually finished and the full state arrived. Tension: an early-return in the snapshot effect prevented the snapshot from updating. Outcome: the full state arrived.

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Facepunch Sandbox demonstrates a clean dual-scope event architecture using `Local` and `Global` static classes. Tension: Difficulty implementing cancellable events.

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Record original scene objects on startup — CleanupSystem Component. Tension: Efficient batch destruction.

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Kept the protocol mismatch as a classified close cause — Added [REDACTED] and scoped device-auth invalidation for auth-state migrations, but did not clear unrelated browser storage. Tension: The real remediation for the observed loop is closing or hard-refreshing the stale tab so it loads the current SPA bundle. Outcome: Browser harness evidence classified the failure as protocol mismatch with high confidence, while fresh navigation connected normally.

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