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Graph/resource-lifetime-mismanagement

AntiPattern

Resource Lifetime Mismanagement

resource-lifetime-mismanagement

A recurring resource-lifecycle mismatch where shared long-lived objects (DB engine/sessions, websocket connections) are created or disposed in the wrong layer, leading to premature closure, unawaited coroutines, and flaky test behavior.

Node Details

Public graph metadata

Updated4/30/2026

Connections

30 linked nodes

MATCHESSolution

Use a cleanup function to clear the timeout, or simulate latency with Chrome DevTools throttling or MSW delay instead

MATCHESSolution

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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Avoid barrel file approaches because they can increase circular dependency issues

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handle a scenario when the code is fine but backend went offline — prefetching data with usePrefetchQuery. Tension: prefetch works.

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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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As long as you lock more than a single thing at a time, you risk deadlocks. — lock more than a single thing at a time. Tension: You hold B waiting for A, they hold A waiting for B. Outcome: one of you has to abort or you're stuck.

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your `getBrazilDateTime()` function correctly create a new Date object each time it's called — the serverless function's instance remains "warm" between requests. Tension: the outer scope of. Outcome: Objects declared outside of the function's handler method remain initialized.

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create a dedicated `test_db_session()` method that includes the engine disposal — use this one for your tests. Tension: You should never dispose the db engine in your `get_session()` method that is used by your backend application. Outcome: You can then use this `test_db_session()` in your tests by overrding the FastAPI dependencies.

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Change the `mocked_app` and database `client` fixtures from `scope='session'` to `scope='function'` so each test gets a fresh app/client setup with a clean lifecycle.

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Using a `session-scoped` pytest fixture, for managing the event loop — which ensures the same event loop will be used. Outcome: loop.close().

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Move the initialization of `qdrant_client` into lifespan. Outcome: override using standard FastAPI mechanism.

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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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Change the engine async fixture from session scope to function scope (remove scope="session") so all async fixtures/tests run on the same event loop, preventing the cross-loop Future/Task error.

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Create a lifespan-managed shared state (e.g., instantiate a state manager/model in FastAPI lifespan) and store the loaded model in that state so request handlers can access it via Request/app state or a dependency that reads from lifespan.

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Session() — sessionmaker(bind=self.engine).

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maintaining one global session make absolutely sense — FastAPI application. Tension: Every `boto3.Session()` call is costing me 50ms-100ms in latency. Outcome: session = boto3.Session() # ← global reusable boto3 session.

MATCHESSolution

Move the dependency definitions (e.g., `get_database`, `get_db_connection`) into a separate module (e.g., `dependencies.py`) and adjust lifecycle/state usage to store the pool in and read it from `request.state` instead of `app.state` (optionally returning the pool from the lifespan context).

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I have solved it using the lifespan of FastAPI. — use it inside the routes. Tension: I couldn't identify where the problem is. Outcome: I have just initialized the Pubsub client in LifeSpan.

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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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Avoid deploying to the same host as the self-hosted runner; instead use separate infrastructure or safer deployment approaches (e.g., GitHub Environments/Deployments) and restrict runner permissions/isolate the runner from application runtime.

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keep a singleton client and configure a connection pool using `https.Agent` — Instead of creating a new S3Client on every request. Tension: prevents socket reuse. Outcome: Keeps sockets alive for reuse under high concurrency.

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Trigger an AWS Lambda function whenever objects are created — whenever objects are created. Tension: write some code that either operates on the object immediately or writes the object information to a database. Outcome: it can be accessed quickly in future.

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implementing this retry behavior all over the place — axiosInstance.js. Tension: handle the retry logic. Outcome: you could try using a response interceptor to abstract and handle the retry logic.

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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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Avoid running multiple DB operations concurrently on the same session by removing asyncio.gather and iterating sequentially, and/or use an async_scoped_session so each task uses its own session.

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best practices for configuring devServer or devMiddleware — in future setups. Tension: prevent such vulnerabilities. Outcome: without upgrading the entire Vue CLI or webpack stack.

MATCHESSolution

generate new token every time when workspace is changed — adding/removing to workspace as a business logic. Tension: business logic that invalidates token. Outcome: you can treat adding/removing to workspace as a business logic that invalidates token.

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Possible Fix — Given your setup with Expo and `firebase/auth`. Tension: the refresh token mechanism might not be working as expected on your web build. Outcome: Firebase Auth's persistence is configured.

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