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Graph/async-mock-lifecycle-mismatch

AntiPattern

Async Mock Lifecycle Mismatch

async-mock-lifecycle-mismatch

Async tests and auth flows fail because mocks/handlers return coroutines or run side-effects too early, so await/async context and env stubs don’t align. This leads to missing API keys, broken async context managers, and unintended retries.

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Updated7/7/2026

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30 linked nodes

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Instead of mocking local storage, I just need to access it directly — This is my test code using Jest + TypeScript. Tension: mocking local storage. Outcome: The final test should look like this:.

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Properly mock the Zustand store module by spying on/overriding the store export (the Zustand `create` result or the correct store factory export) to return a custom state and action implementation, then render the component and assert against the mocked behavior.

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Load the async user data with a Suspense-compatible async pattern (e.g., using `leo-query`’s `query`/`subscribe`) so the component waits until `currentUser` is available before rendering.

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Outcome: To solve this, I created a custom `MockPointerEvent` and mocked the necessary browser methods.

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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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Mock axios.get and await the assertion with waitFor()

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beforeEach(() => { vi.useRealTimers() }) — to the describe of the tests. Tension: I cannot modify and remove the setup scripts. Outcome: afterEach(() => { vi.useFakeTimers() }).

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Have you tried awaiting the API response? — If that doesn't work, try initializing the table with mock data. Tension: to see if that works. Outcome: awaiting the API response.

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delete the async from `fake_execute` — your `AsyncContextMock` needs to handle both use cases in your endpoint `await conn.execute()` and `async with conn.execute()`. Outcome: just make it a regular function so it returns your context manager directly, no coroutine wrapper.

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for `cursor.fetchone.return_value`, just use (2,) directly — `cursor.fetchone.return_value`. Tension: AsyncMock already makes it awaitable. Outcome: wrapping it again messes things up.

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The following test case is now passing. — mock-test.

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If you convert all operations to perform asynchronously (using `aiosqlite`) , the issue will be mitigated. — When a route in FastAPI is listed as asynchronous (`async def`). Tension: that doesn't fully solve the inherent single writer problem of Sqlite. Outcome: Here's a fully operational update of the FastAPI server logic:.

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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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mock_client.update_one = AsyncMock(return_value=AsyncMock(matched_count=1, modified_count=1)). Outcome: Here the minimal code to make your example works.

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Use pytest_asyncio.fixture NOT pytest.fixture — @pytest_asyncio.fixture(scope='session', loop_scope='session'). Tension: async def my_fixture():. Outcome: yield 'foo'.

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You need to install helper packages, such as `anyio` or `pytest-asyncio`. — Async fixtures do not work out of the box. Tension: NB. Use pytest_asyncio.fixture NOT pytest.fixture. Outcome: Example.

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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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using `magicmock` to mock it could lead to unusual or unexpected behavior when checking for call counts — Since `get_item` might be an asynchronous function in your middleware. Tension: using `magicmock` to mock it could lead to unusual or unexpected behavior. Outcome: which is designed to work with async functions.

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use `pytest_asyncio` and the async fixture — If you don't want to utilize an `AsyncClient` like the one by `httpx`. Tension: ensuring that the FastAPI app's lifespan context correctly works.

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mock/fake/dummy S3 — simulate your desired test scenarios. Outcome: remove S3 from the problem and replace it with something that provides the same contract as S3.

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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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An async function was passed to useActionState.

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Or you can use `async/await` and `try/catch` — createAsyncThunk. Outcome: return data.

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Implement the mock as a properly typed React functional component (e.g., `const Modal: React.FC<ModalProps> = (...) => ...`) and ensure the mock returns a valid React element (e.g., `return <>{children}</>` or `return <View {...props}>{children}</View>`), with appropriate TypeScript/TSX configuration.

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Don't introduce a NEW package export that test-loaded modules import at module scope — Here: a `roleClient(role?)` helper in the consumer package (`etl/llm-route.ts`). Tension: it forces you to update every `vi.mock` factory, and missing one re-breaks CI.

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you want to mock away `m2`, but call the real `m1` method. Outcome: mockStatic(Myclass1.class, Mockito.CALLS_REAL_METHODS).

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Alternately, you could treat tests with mocks as unit tests which don't involve JavaFX code.

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one of my integration tests affects the other. Outcome: Make sure you properly defined and initialized `mystuff`.

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Rewrite the test as an async test and run it with an async test runner (e.g., pytest.mark.asyncio), using await on the async ORM methods (acreate/acount) instead of asyncio.run().

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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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