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asyncer

Use Asyncer correctly in Python code that mixes async functions, blocking sync functions, worker threads, or concurrent async tasks. Use when choosing between Asyncer, AnyIO, and asyncio patterns; replacing asyncio.gather, AnyIO task groups, to_thread/from_thread calls, or anyio.run wrappers; using asyncer.create_task_group(), TaskGroup.soonify(), SoonValue, asyncify(), syncify(), or runnify(); or avoiding common Asyncer mistakes.

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asyncer
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Use Asyncer correctly in Python code that mixes async functions, blocking sync functions, worker threads, or concurrent async tasks. Use when choosing between Asyncer, AnyIO, and asyncio patterns; replacing asyncio.gather, AnyIO task groups, to_thread/from_thread calls, or anyio.run wrappers; using asyncer.create_task_group(), TaskGroup.soonify(), SoonValue, asyncify(), syncify(), or runnify(); or avoiding common Asyncer mistakes.
# Asyncer Patterns Use this skill when writing Python code that mixes async functions, blocking sync functions, or concurrent async work and the project depends on `asyncer`. Asyncer is a small typed layer on top of AnyIO. Prefer the Asyncer helpers below when they fit, because they preserve function signatures, keyword arguments, and return types better than the lower-level AnyIO or asyncio calls. ## Imports Use one of these styles: ```python import asyncer ``` ```python from asyncer import asyncify, syncify ``` For task groups, prefer `asyncer.create_task_group()` so the returned task group has Asyncer's extra `soonify()` method. ## Concurrent Async Work Prefer `asyncer.create_task_group()` plus `task_group.soonify()` for concurrent async function calls. ```python import asyncer async def fetch_user(user_id: int) -> User: ... async def load_users(user_ids: list[int]) -> list[User]: soon_values: list[asyncer.SoonValue[User]] = [] async with asyncer.create_task_group() as task_group: for user_id in user_ids: soon_values.append(task_group.soonify(fetch_user)(user_id=user_id)) return [soon_value.value for soon_value in soon_values] ``` Use this instead of: ```python await asyncio.gather(*(fetch_user(user_id) for user_id in user_ids)) ``` or raw task creation when the goal is simply "start these async calls concurrently and collect their results". Do not use `task_group.soon(...)`; Asyncer's API is `task_group.soonify(...)`. The call shape is: ```python soon_value = task_group.soonify(async_function)(*args, **kwargs) ``` `soonify()` returns a `SoonValue[T]`. Read `soon_value.value` after the `async with` block, because exiting the task group waits for the scheduled tasks to finish. ```python async with asyncer.create_task_group() as task_group: first = task_group.soonify(fetch_user)(user_id=1) second = task_group.soonify(fetch_user)(user_id=2) users = [first.value, second.value] ``` Inside the same task group, `.value` can raise `PendingValueException` if the task is not complete. If there was an `await` inside the block and you truly need to inspect a value before exiting, check `.ready` first: ```python async with asyncer.create_task_group() as task_group: soon_value = task_group.soonify(fetch_user)(user_id=1) await anyio.sleep(0) if soon_value.ready: user = soon_value.value ``` If code needs to consume values while producer tasks are still running, use a stream/channel pattern instead of `SoonValue.value` inside the task group. If a task started with `soonify()` raises, the exception propagates when exiting the task group. Do not write code that assumes all `SoonValue.value` results are available after a failed task group unless the failure is caught and handled intentionally. ## Call Sync Code From Async Code Use `asyncer.asyncify()` when async code must call a blocking sync function without blocking the event loop. ```python from asyncer import asyncify def render_pdf(order_id: int) -> bytes: ... async def endpoint(order_id: int) -> Response: pdf = await asyncify(render_pdf)(order_id=order_id) return Response(pdf, media_type="application/pdf") ``` Use this instead of directly calling blocking functions from async code, and instead of lower-level patterns such as `loop.run_in_executor(...)` or `anyio.to_thread.run_sync(...)` when you want better argument and return typing. `asyncify()` accepts AnyIO thread options: ```python result = await asyncify(blocking_call, abandon_on_cancel=True)(item_id=item_id) ``` Use `abandon_on_cancel`, not the deprecated `cancellable` argument. Pass a `limiter=` when the caller needs to limit concurrent worker threads. ## Call Async Code From Sync Code Use `asyncer.syncify()` from sync code that is running in a worker thread started by async code. A common chain is: 1. An async app or function is running. 2. It calls sync/blocking code with `asyncify()` or a framework-managed worker thread, such as a FastAPI sync endpoint or sync dependency. 3. That sync code needs to call an async function. ```python from asyncer import asyncify, syncify async def read_from_async_client(key: str) -> str: ... def sync_business_logic(key: str) -> str: value = syncify(read_from_async_client)(key=key) return value.upper() async def handler(key: str) -> str: return await asyncify(sync_business_logic)(key=key) ``` Use this instead of `anyio.from_thread.run(...)` when passing keyword arguments or when type support matters. Do not use `syncify()` inside an async function. In async code, use plain `await` on the async function directly. For sync functions that must work both from an async worker thread and from a plain sync program, `syncify(..., raise_sync_error=False)` is available: ```python def sync_business_logic(key: str) -> str: return syncify(read_from_async_client, raise_sync_error=False)(key=key) ``` Use this compatibility mode sparingly. Outside a worker thread it starts a new event loop with `anyio.run()`, which is expensive if repeated in a loop. If you need many calls, wrap the loop in one async function and run that once. ## Run An Async Function From Sync Top-Level Code Use `asyncer.runnify()` when sync top-level code needs to run one async function with positional or keyword arguments and the current thread is not already running an event loop. ```python import asyncer async def main(name: str) -> str: ... result = asyncer.runnify(main)(name="World") ``` Use this instead of manually wrapping arguments for `anyio.run(...)`: ```python result = anyio.run(lambda: main(name="World")) ``` Do not call `runnify()` from a thread that already has a running event loop; from async code, just `await main(...)`. ## Choosing The Asyncer Alternative Use these replacements by default when Asyncer is available: - `asyncio.gather(...)` for a batch of async calls with typed results: `asyncer.create_task_group()` plus `task_group.soonify(...)`. - `anyio.create_task_group().start_soon(...)` for ordinary async function calls: `asyncer.create_task_group().soonify(...)`, especially when kwargs or return values matter. - `anyio.to_thread.run_sync(...)`, `asyncio.to_thread(...)`, or `loop.run_in_executor(...)`: `await asyncer.asyncify(sync_func)(...)`. - `anyio.from_thread.run(...)`: `asyncer.syncify(async_func)(...)`. - `anyio.run(async_func, ...)` from sync top-level code with arguments: `asyncer.runnify(async_func)(...)`. Still use lower-level AnyIO primitives when Asyncer does not provide the abstraction, such as streams, locks, events, capacity limiters themselves, cancellation scopes, timeouts, or task-group startup handshakes that need `task_status.started()`. ## Common Mistakes - Do not call blocking sync functions directly from `async def`; wrap them with `await asyncify(sync_func)(...)`. - Do not use `syncify()` as a general replacement for `await`; it is for sync code, normally in a worker thread started by async code. - Do not wrap async functions when already in async code; use plain `await async_func(...)`. - Do not read `SoonValue.value` before the task has completed unless `soon_value.ready` is true. - Do not instantiate `asyncer.TaskGroup` directly; use `asyncer.create_task_group()`.
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