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Graph/async-mock-await-tracking

AntiPattern

Async Mock Await-Tracking

async-mock-await-tracking

A recurring async-testing motif where mocked dependencies fail to record awaited invocations, leading to misleading assertions like call_count==0; the shape is resolved by using AsyncMock and checking await_count instead.

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Updated5/1/2026

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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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Track loading per request (e.g., per action or with a counter) instead of one global boolean, or guard/remain mounted so that remounting does not retrigger the fetch. E.g., use separate `loading` flags or increment/decrement an in-flight counter and render spinner only when the counter is > 0.

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

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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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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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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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call_count is 0. Tension: This generates an error indicating that call_count is 0. Outcome: Check for `await_count` instead of `call_count`.

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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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Mock `useAppDispatch` to return a `vi.fn()` dispatch function, then assert that the mock dispatch was called with the expected action (e.g., `resetStates()`).

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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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Wrap `fetchBaseQuery` with a custom async base query inside `retry`, inspect the result, and call `retry.fail(result.error)` when `result.error?.status === 401` to prevent further retry attempts.

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

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@ExtendWith({ MockitoExtension.class, ApplicationExtension.class }) — To use TestFX to test a JavaFX application. Tension: how do you do both at the same time? Outcome: it works for this case.

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

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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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template test. Outcome: the assertion was narrowed.

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Updated tool gating and A2A — call args into anonymous shape checks. Tension: pass call args into anonymous shape checks. Outcome: append anonymous countdown footers.

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Grep every exported function for call sites excluding its test file. — Checklist when a sophisticated system produces no measurable output. Tension: Code can lie by omission; live state can't. Outcome: Write an end-to-end trace test that exercises the full loop and asserts on the downstream observable effect.

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