feat: top-level function for running awaitables in zarr's event loop

changes/3997.feature.md

@@ -0,0 +1 @@
+Added `zarr.run`, a public function for running zarr's asynchronous API (`AsyncArray`, `AsyncGroup`, and their methods) from synchronous code. It runs a coroutine to completion on a zarr-managed event loop and returns the result, providing downstream libraries a supported bridge from async to sync without managing their own event loop. If called from within a running event loop, it raises `RuntimeError` (matching `asyncio.run`); in that case, `await` the async API directly.

docs/api/zarr/index.md

@@ -40,6 +40,11 @@ Zarr-Python provides both synchronous and asynchronous APIs:
 - **[Async API](./api/asynchronous.md)** - Asynchronous operations for concurrent access
 - **[Sync API](./api/synchronous.md)** - Synchronous operations for simple usage
 
+To run the asynchronous API from synchronous code, use `zarr.run`, which
+executes a coroutine to completion on a Zarr-managed event loop and returns
+its result. It raises `RuntimeError` if called from within a running event
+loop (in that case, `await` the async API directly instead).
+
 ## Abstract Base Classes
 
 The ABC module defines interfaces for extending Zarr:

src/zarr/__init__.py

@@ -37,6 +37,7 @@
 from zarr.core.array import Array, AsyncArray
 from zarr.core.config import config
 from zarr.core.group import AsyncGroup, Group
+from zarr.core.sync import run
 
 # in case setuptools scm screw up and find version to be 0.0.0
 assert not __version__.startswith("0.0.0")
@@ -173,6 +174,7 @@ def set_format(log_format: str) -> None:
     "open_group",
     "open_like",
     "print_debug_info",
+    "run",
     "save",
     "save_array",
     "save_group",

src/zarr/core/sync.py

@@ -32,7 +32,11 @@
 
 
 class SyncError(Exception):
-    pass
+    """Internal: raised by `sync` when called from within a running event loop.
+
+    The public `run` wrapper translates this to `RuntimeError` (matching
+    `asyncio.run`); downstream code should not catch `SyncError` directly.
+    """
 
 
 def _get_lock() -> threading.Lock:
@@ -160,6 +164,75 @@ def sync[T](
         return return_result
 
 
+def run[T](
+    coro: Coroutine[Any, Any, T],
+    *,
+    loop: asyncio.AbstractEventLoop | None = None,
+    timeout: float | None = None,
+) -> T:
+    """Run a coroutine to completion on a zarr-managed event loop and return its result.
+
+    This is the supported bridge for running zarr's asynchronous API
+    (`AsyncArray`, `AsyncGroup`, and their methods) from synchronous code. It
+    runs `coro` on an event loop managed by zarr, blocking the calling thread
+    until the coroutine finishes, then returns its result (or re-raises any
+    exception the coroutine raised).
+
+    The intended use is composing async zarr operations and running them
+    concurrently from a synchronous program. To run several operations
+    concurrently, build the composition inside a coroutine so that `gather`
+    binds to zarr's loop rather than the calling thread::
+
+        import asyncio
+        import zarr
+
+        group = zarr.run(zarr.api.asynchronous.open_group(store))
+
+        async def read_all():
+            return await asyncio.gather(*(g.getitem(...) for g in groups))
+
+        results = zarr.run(read_all())
+
+    Parameters
+    ----------
+    coro : Coroutine
+        The coroutine to run.
+    loop : asyncio.AbstractEventLoop, optional
+        The event loop to run `coro` on. If `None` (the default), zarr's
+        managed loop is used. Most callers should leave this unset.
+    timeout : float, optional
+        Maximum number of seconds to wait for `coro` to finish. If `None`
+        (the default), waits indefinitely. Raises `TimeoutError` if exceeded.
+
+    Returns
+    -------
+    The value returned by `coro`.
+
+    Raises
+    ------
+    RuntimeError
+        If called from within a running event loop on the calling thread. In
+        an async context, `await` the async API directly instead. (This
+        mirrors `asyncio.run`, which raises `RuntimeError` for the same
+        misuse.)
+    TimeoutError
+        If `coro` does not finish within `timeout` seconds.
+
+    Notes
+    -----
+    `zarr.run` commits to this signature and to running coroutines on a
+    zarr-managed loop. It does not commit to *how* that loop is managed (a
+    process-global loop, a dedicated thread, etc.); those internals may change.
+    """
+    try:
+        return sync(coro, loop=loop, timeout=timeout)
+    except SyncError as e:
+        raise RuntimeError(
+            "zarr.run cannot be called from within a running event loop. "
+            "In an async context, await the async API directly."
+        ) from e
+
+
 def _get_loop() -> asyncio.AbstractEventLoop:
     """Create or return the default fsspec IO loop
 

tests/test_sync.py

@@ -13,6 +13,7 @@
     _get_loop,
     cleanup_resources,
     loop,
+    run,
     sync,
 )
 
@@ -163,3 +164,97 @@ def test_cleanup_resources_idempotent() -> None:
     _get_executor()  # trigger resource creation (iothread, loop, thread-pool)
     cleanup_resources()
     cleanup_resources()
+
+
+# --- public `zarr.run` API ---------------------------------------------------
+# `zarr.run` is the supported public bridge for running async zarr operations
+# from synchronous code. It is a thin wrapper over the internal `sync`; these
+# tests pin the public contract independently of the internal function.
+
+
+def test_run_returns_coroutine_result() -> None:
+    """`zarr.run` returns the value the coroutine resolves to."""
+    foo = AsyncMock(return_value="foo")
+    assert run(foo()) == "foo"
+    foo.assert_awaited_once()
+
+
+def test_run_is_public() -> None:
+    """`run` is exported at the top level and is the same object as the internal one."""
+    assert zarr.run is run
+    assert "run" in zarr.__all__
+
+
+def test_run_propagates_exception() -> None:
+    """An exception raised inside the coroutine propagates to the caller."""
+    foo = AsyncMock(side_effect=ValueError("foo-bar"))
+    with pytest.raises(ValueError, match="foo-bar"):
+        run(foo())
+    foo.assert_awaited_once()
+
+
+def test_run_timeout() -> None:
+    """`zarr.run` raises `TimeoutError` if the coroutine exceeds `timeout`."""
+    duration = 0.02
+
+    async def foo() -> None:
+        await asyncio.sleep(duration)
+
+    with pytest.raises(asyncio.TimeoutError):
+        run(foo(), timeout=duration / 10)
+
+
+@pytest.mark.filterwarnings("ignore:coroutine.*was never awaited")
+def test_run_raises_runtimeerror_inside_running_loop() -> None:
+    """Calling `zarr.run` from within a running loop raises `RuntimeError`.
+
+    This mirrors `asyncio.run`'s behavior for the same misuse, and hides the
+    internal `SyncError` from the public surface.
+    """
+
+    def inner() -> str:
+        # plain (not async) on purpose: an un-awaited inner coroutine would be
+        # garbage-collected during a later test and surface as a spurious
+        # "coroutine was never awaited" failure. Mirrors the internal-`sync`
+        # test above.
+        return "inner"
+
+    async def outer() -> str:
+        return run(inner())  # type: ignore[arg-type]
+
+    with pytest.raises(RuntimeError):
+        run(outer())
+
+
+def test_run_inside_running_loop_does_not_leak_syncerror() -> None:
+    """The internal `SyncError` is not surfaced to callers of `zarr.run`."""
+
+    def inner() -> str:
+        return "inner"
+
+    async def outer() -> str:
+        return run(inner())  # type: ignore[arg-type]
+
+    with pytest.raises(RuntimeError) as excinfo:
+        run(outer())
+    # SyncError is preserved as the cause but is not the raised type.
+    assert not isinstance(excinfo.value, SyncError)
+    assert isinstance(excinfo.value.__cause__, SyncError)
+
+
+def test_run_composes_with_gather() -> None:
+    """The headline downstream pattern: run several coroutines concurrently.
+
+    The `gather` is constructed inside a coroutine so it binds to zarr's loop
+    rather than the calling thread (which has no running loop).
+    """
+
+    async def double(x: int) -> int:
+        await asyncio.sleep(0)
+        return x * 2
+
+    async def run_all() -> list[int]:
+        return await asyncio.gather(*(double(i) for i in range(5)))
+
+    results = run(run_all())
+    assert results == [0, 2, 4, 6, 8]