Add offload support to context_meter.add_callback

distributed/core.py

@@ -1105,16 +1105,13 @@ def context_meter_to_server_digest(digest_tag: str) -> Callable:
     def decorator(func: Callable) -> Callable:
         @wraps(func)
         async def wrapper(self: Server, *args: Any, **kwargs: Any) -> Any:
-            loop = asyncio.get_running_loop()
-
             def metrics_callback(label: Hashable, value: float, unit: str) -> None:
                 if not isinstance(label, tuple):
                     label = (label,)
                 name = (digest_tag, *label, unit)
-                # This callback could be called from another thread through offload()
-                loop.call_soon_threadsafe(self.digest_metric, name, value)
+                self.digest_metric(name, value)
 
-            with context_meter.add_callback(metrics_callback):
+            with context_meter.add_callback(metrics_callback, allow_offload=True):
                 return await func(self, *args, **kwargs)
 
         return wrapper

distributed/metrics.py

@@ -1,6 +1,8 @@
 from __future__ import annotations
 
+import asyncio
 import collections
+import threading
 import time as timemod
 from collections.abc import Callable, Hashable, Iterator
 from contextlib import contextmanager
@@ -208,6 +210,7 @@ def add_callback(
         callback: Callable[[Hashable, float, str], None],
         *,
         key: Hashable | None = None,
+        allow_offload: bool = False,
     ) -> Iterator[None]:
         """Add a callback when entering the context and remove it when exiting it.
         The callback must accept the same parameters as :meth:`digest_metric`.
@@ -219,12 +222,30 @@ def add_callback(
         key: Hashable, optional
             Unique key for the callback. If two nested calls to ``add_callback`` use the
             same key, suppress the outermost callback.
+        allow_offload: bool, optional
+            If set to True, this context must be executed inside a running asyncio
+            event loop. If a call to :meth:`digest_metric` is performed from a different
+            thread, e.g. from inside :func:`distributed.utils.offload`, ensure that
+            the callback is executed in the event loop's thread instead.
         """
+        if allow_offload:
+            loop = asyncio.get_running_loop()
+            tid = threading.get_ident()
+
+            def safe_cb(label: Hashable, value: float, unit: str, /) -> None:
+                if threading.get_ident() == tid:
+                    callback(label, value, unit)
+                else:  # We're inside offload()
+                    loop.call_soon_threadsafe(callback, label, value, unit)
+
+        else:
+            safe_cb = callback
+
         if key is None:
             key = object()
         cbs = self._callbacks.get()
         cbs = cbs.copy()
-        cbs[key] = callback
+        cbs[key] = safe_cb
         tok = self._callbacks.set(cbs)
         try:
             yield

distributed/tests/test_metrics.py

@@ -2,12 +2,15 @@
 
 import math
 import pickle
+import threading
 import time
 
 import pytest
 
 from distributed import metrics
 from distributed.compatibility import WINDOWS
+from distributed.utils import offload
+from distributed.utils_test import gen_test
 
 
 @pytest.mark.parametrize("name", ["time", "monotonic"])
@@ -223,6 +226,25 @@ def raises(*args):
             metrics.context_meter.digest_metric("foo", 1, "s")
 
 
+@gen_test()
+async def test_context_meter_allow_offload():
+    tid = threading.get_ident()
+    m = []
+
+    def cb(label, value, unit):
+        m.append((threading.get_ident(), label, value, unit))
+
+    with metrics.context_meter.add_callback(cb, allow_offload=True):
+        metrics.context_meter.digest_metric("foo", 1, "x")
+        await offload(metrics.context_meter.digest_metric, "bar", 1, "x")
+
+    assert m == [
+        (tid, "foo", 1, "x"),
+        (tid, "offload", m[1][2], "seconds"),
+        (tid, "bar", 1, "x"),
+    ]
+
+
 def test_delayed_metrics_ledger():
     it = iter([120, 130, 130, 130])
     ledger = metrics.DelayedMetricsLedger(func=lambda: next(it))