Meaning
Creates an asynchronous context manager that cancels all enclosed tasks after a specified duration, raising TimeoutError. Addresses the pain point of unbounded waits in async pipelines where a single stalled coroutine can block an entire event loop. Reach for this whenever a group of async operations must complete within a hard deadline rather than hanging indefinitely.
Primary Function
Asynchronous timeout handling
Communicative Purpose
Prevent async code from blocking indefinitely by enforcing a maximum duration for a group of operations.
Pattern
async with asyncio.timeout(duration):
Core Structure
async with asyncio.timeout(...):
Função primária
Asynchronous timeout handling
Propósito comunicativo
Prevent async code from blocking indefinitely by enforcing a maximum duration for a group of operations.
Situações de gatilho
Network I/O: making HTTP requests to unreliable endpoints that may never respond, Event-driven systems: waiting on an asyncio.Event or asyncio.Condition with no guaranteed signal time, Concurrent task groups: running multiple coroutines via asyncio.gather where any single slow task should not stall the entire batch
Contextos
Modern Python asyncio codebases, especially those using Python 3.11+ where asyncio.timeout was introduced.
Padrão
async with asyncio.timeout(duration):
Estrutura central
async with asyncio.timeout(...):
Slots de substituição
duration: int or float representing seconds of allowed time before timeout
Colocados típicos
- try/except TimeoutError
- asyncio.create_task
- asyncio.gather
- aiohttp.ClientSession
- asyncio.Event
Substituições comuns
- asyncio.wait_for(awaitable
- timeout): wraps a single awaitable with a timeout but cannot scope over multiple operations
- manual deadline tracking with loop.time(): more verbose but gives finer-grained control over partial cancellation
Erros comuns
Using `with` instead of `async with` — syntax error that prevents the context manager from being entered asynchronously. Catching Exception instead of TimeoutError — swallows unrelated errors and hides the actual timeout condition. Applying asyncio.timeout to synchronous blocking code — the timeout only cancels async tasks; blocking calls like time.sleep are invisible to the event loop and will not be interrupted. Nesting an inner timeout shorter than an outer one — the inner timeout fires first and cancels tasks the outer scope also expects to manage, leading to confusing cancellation chains.
Similar / contraste
asyncio.wait_for provides a similar timeout but returns a result or raises TimeoutError directly; asyncio.shield protects a coroutine from cancellation, opposite effect.
Interferências
Coming from Java: expecting timeout to interrupt a blocking thread like Thread.interrupt → asyncio.timeout only cancels async tasks at await points; synchronous blocking calls are unaffected. Coming from JavaScript: assuming Promise.race with setTimeout is equivalent → asyncio.timeout cancels the enclosed tasks on expiry, whereas Promise.race simply ignores the slower result.
Família do chunk
- asyncio.wait_for
- asyncio.shield
- asyncio.sleep
Nuance
Do not use asyncio.timeout when you need the result even after the deadline — use asyncio.shield instead to protect critical cleanup. Cancelling tasks mid-execution can leave external resources (files, connections) in an inconsistent state if the tasks lack proper cancellation handlers. The timeout deadline is measured from the moment the context manager is entered, not from the creation of the tasks inside it, so pre-created tasks that are already running consume part of the budget before the first await.
Efeito pragmático
Guarantees that asynchronous operations do not run indefinitely, improving responsiveness and preventing resource leaks from stalled coroutines.
Dica de memória
Think of an asynchronous 'brace' that automatically times out risky async code.
Nota
Introduced in Python 3.11; for earlier versions, use asyncio.wait_for or manually create a timeout task with asyncio.sleep.
Upgrade path
Combine with asyncio.shield to protect critical sections, or use asyncio.wait_for for single-awaitable timeouts.
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