Validate and debug state machine on handle_compute_task

distributed/scheduler.py

@@ -1841,7 +1841,7 @@ def transition_waiting_processing(self, key, stimulus_id):
                 assert not ts.processing_on
                 assert not ts.has_lost_dependencies
                 assert ts not in self.unrunnable
-                assert all([dts.who_has for dts in ts.dependencies])
+                assert all(dts.who_has for dts in ts.dependencies)
 
             ws = self.decide_worker(ts)
             if ws is None:
@@ -7125,6 +7125,9 @@ def request_acquire_replicas(self, addr: str, keys: list, *, stimulus_id: str):
             ts = self.tasks[key]
             who_has[key] = {ws.address for ws in ts.who_has}
 
+        if self.validate:
+            assert all(who_has.values())
+
         self.stream_comms[addr].send(
             {
                 "op": "acquire-replicas",
@@ -7329,21 +7332,19 @@ def _task_to_msg(
         "priority": ts.priority,
         "duration": duration,
         "stimulus_id": f"compute-task-{time()}",
-        "who_has": {},
+        "who_has": {
+            dts.key: [ws.address for ws in dts.who_has] for dts in ts.dependencies
+        },
+        "nbytes": {dts.key: dts.nbytes for dts in ts.dependencies},
     }
+    if state.validate:
+        assert all(msg["who_has"].values())
+
     if ts.resource_restrictions:
         msg["resource_restrictions"] = ts.resource_restrictions
     if ts.actor:
         msg["actor"] = True
 
-    deps = ts.dependencies
-    if deps:
-        msg["who_has"] = {dts.key: [ws.address for ws in dts.who_has] for dts in deps}
-        msg["nbytes"] = {dts.key: dts.nbytes for dts in deps}
-
-        if state.validate:
-            assert all(msg["who_has"].values())
-
     if isinstance(ts.run_spec, dict):
         msg.update(ts.run_spec)
     else:
@@ -7480,7 +7481,7 @@ def validate_task_state(ts: TaskState) -> None:
     assert bool(ts.who_has) == (ts.state == "memory"), (ts, ts.who_has, ts.state)
 
     if ts.state == "processing":
-        assert all([dts.who_has for dts in ts.dependencies]), (
+        assert all(dts.who_has for dts in ts.dependencies), (
             "task processing without all deps",
             str(ts),
             str(ts.dependencies),

distributed/tests/test_cancelled_state.py

@@ -83,7 +83,7 @@ def f(ev):
     assert_story(
         a.story("f1"),
         [
-            ("f1", "compute-task"),
+            ("f1", "compute-task", "released"),
             ("f1", "released", "waiting", "waiting", {"f1": "ready"}),
             ("f1", "waiting", "ready", "ready", {"f1": "executing"}),
             ("f1", "ready", "executing", "executing", {}),

distributed/tests/test_stories.py

@@ -142,7 +142,7 @@ async def test_worker_story_with_deps(c, s, a, b):
 
     # This is a simple transition log
     expected = [
-        ("res", "compute-task"),
+        ("res", "compute-task", "released"),
         ("res", "released", "waiting", "waiting", {"dep": "fetch"}),
         ("res", "waiting", "ready", "ready", {"res": "executing"}),
         ("res", "ready", "executing", "executing", {}),

distributed/tests/test_stress.py

@@ -12,7 +12,6 @@
 from distributed import Client, Nanny, wait
 from distributed.chaos import KillWorker
 from distributed.compatibility import WINDOWS
-from distributed.config import config
 from distributed.metrics import time
 from distributed.utils import CancelledError
 from distributed.utils_test import (
@@ -121,58 +120,46 @@ async def create_and_destroy_worker(delay):
         assert await c.compute(z) == 8000884.93
 
 
-@gen_cluster(nthreads=[("127.0.0.1", 1)] * 10, client=True, timeout=60)
+@gen_cluster(nthreads=[("", 1)] * 10, client=True)
 async def test_stress_scatter_death(c, s, *workers):
-    import random
-
     s.allowed_failures = 1000
     np = pytest.importorskip("numpy")
-    L = await c.scatter([np.random.random(10000) for i in range(len(workers))])
+    L = await c.scatter(
+        {f"scatter-{i}": np.random.random(10000) for i in range(len(workers))}
+    )
+    L = list(L.values())
     await c.replicate(L, n=2)
 
     adds = [
-        delayed(slowadd, pure=True)(
+        delayed(slowadd)(
             random.choice(L),
             random.choice(L),
             delay=0.05,
-            dask_key_name="slowadd-1-%d" % i,
+            dask_key_name=f"slowadd-1-{i}",
         )
         for i in range(50)
     ]
 
     adds = [
-        delayed(slowadd, pure=True)(a, b, delay=0.02, dask_key_name="slowadd-2-%d" % i)
+        delayed(slowadd)(a, b, delay=0.02, dask_key_name=f"slowadd-2-{i}")
         for i, (a, b) in enumerate(sliding_window(2, adds))
     ]
 
     futures = c.compute(adds)
-    L = adds = None
-
-    alive = list(workers)
+    del L
+    del adds
 
-    from distributed.scheduler import logger
+    for w in random.sample(workers, 7):
+        s.validate_state()
+        for w2 in workers:
+            w2.validate_state()
 
-    for i in range(7):
         await asyncio.sleep(0.1)
-        try:
-            s.validate_state()
-        except Exception as c:
-            logger.exception(c)
-            if config.get("log-on-err"):
-                import pdb
-
-                pdb.set_trace()
-            else:
-                raise
-        w = random.choice(alive)
         await w.close()
-        alive.remove(w)
 
     with suppress(CancelledError):
         await c.gather(futures)
 
-    futures = None
-
 
 def vsum(*args):
     return sum(args)

distributed/tests/test_worker.py

@@ -3157,7 +3157,7 @@ async def test_task_flight_compute_oserror(c, s, a, b):
 
     sum_story = b.story("f1")
     expected_sum_story = [
-        ("f1", "compute-task"),
+        ("f1", "compute-task", "released"),
         (
             "f1",
             "released",
@@ -3174,7 +3174,7 @@ async def test_task_flight_compute_oserror(c, s, a, b):
         ("f1", "waiting", "released", "released", lambda msg: msg["f1"] == "forgotten"),
         ("f1", "released", "forgotten", "forgotten", {}),
         # Now, we actually compute the task *once*. This must not cycle back
-        ("f1", "compute-task"),
+        ("f1", "compute-task", "released"),
         ("f1", "released", "waiting", "waiting", {"f1": "ready"}),
         ("f1", "waiting", "ready", "ready", {"f1": "executing"}),
         ("f1", "ready", "executing", "executing", {}),

distributed/tests/test_worker_state_machine.py

@@ -268,17 +268,17 @@ async def test_fetch_to_compute(c, s, a, b):
         # FIXME: This log should be replaced with an
         # StateMachineEvent/Instruction log
         [
-            (f2.key, "compute-task"),
+            (f2.key, "compute-task", "released"),
             # This is a "please fetch" request. We don't have anything like
             # this, yet. We don't see the request-dep signal in here because we
             # do not wait for the key to be actually scheduled
             (f1.key, "ensure-task-exists", "released"),
             # After the worker failed, we're instructed to forget f2 before
             # something new comes in
             ("free-keys", (f2.key,)),
-            (f1.key, "compute-task"),
+            (f1.key, "compute-task", "released"),
             (f1.key, "put-in-memory"),
-            (f2.key, "compute-task"),
+            (f2.key, "compute-task", "released"),
         ],
     )
 

distributed/worker.py

@@ -1855,6 +1855,10 @@ def handle_acquire_replicas(
         who_has: dict[str, Collection[str]],
         stimulus_id: str,
     ) -> None:
+        if self.validate:
+            assert set(keys) == who_has.keys()
+            assert all(who_has.values())
+
         recommendations: Recs = {}
         for key in keys:
             ts = self.ensure_task_exists(
@@ -1872,6 +1876,10 @@ def handle_acquire_replicas(
         self.update_who_has(who_has)
         self.transitions(recommendations, stimulus_id=stimulus_id)
 
+        if self.validate:
+            for key in keys:
+                assert self.tasks[key].state != "released", self.story(key)
+
     def ensure_task_exists(
         self, key: str, *, priority: tuple[int, ...], stimulus_id: str
     ) -> TaskState:
@@ -1892,19 +1900,18 @@ def handle_compute_task(
         *,
         key: str,
         who_has: dict[str, Collection[str]],
+        nbytes: dict[str, int],
         priority: tuple[int, ...],
         duration: float,
         function=None,
         args=None,
         kwargs=None,
         task=no_value,  # distributed.scheduler.TaskState.run_spec
-        nbytes: dict[str, int] | None = None,
         resource_restrictions: dict[str, float] | None = None,
         actor: bool = False,
         annotations: dict | None = None,
         stimulus_id: str,
     ) -> None:
-        self.log.append((key, "compute-task", stimulus_id, time()))
         try:
             ts = self.tasks[key]
             logger.debug(
@@ -1913,47 +1920,14 @@ def handle_compute_task(
             )
         except KeyError:
             self.tasks[key] = ts = TaskState(key)
-
-        ts.run_spec = SerializedTask(function, args, kwargs, task)
-
-        assert isinstance(priority, tuple)
-        priority = priority + (self.generation,)
-        self.generation -= 1
-
-        if actor:
-            self.actors[ts.key] = None
-
-        ts.exception = None
-        ts.traceback = None
-        ts.exception_text = ""
-        ts.traceback_text = ""
-        ts.priority = priority
-        ts.duration = duration
-        if resource_restrictions:
-            ts.resource_restrictions = resource_restrictions
-        ts.annotations = annotations
+        self.log.append((key, "compute-task", ts.state, stimulus_id, time()))
 
         recommendations: Recs = {}
         instructions: Instructions = []
-        for dependency in who_has:
-            dep_ts = self.ensure_task_exists(
-                key=dependency,
-                priority=priority,
-                stimulus_id=stimulus_id,
-            )
-
-            # link up to child / parents
-            ts.dependencies.add(dep_ts)
-            dep_ts.dependents.add(ts)
-
-        if nbytes is not None:
-            for key, value in nbytes.items():
-                self.tasks[key].nbytes = value
 
-        if ts.state in READY | {"executing", "waiting", "resumed"}:
+        if ts.state in READY | {"executing", "long-running", "waiting", "resumed"}:
             pass
         elif ts.state == "memory":
-            recommendations[ts] = "memory"
             instructions.append(
                 self._get_task_finished_msg(ts, stimulus_id=stimulus_id)
             )
@@ -1966,12 +1940,56 @@ def handle_compute_task(
             "error",
         }:
             recommendations[ts] = "waiting"
-        else:  # pragma: no cover
+
+            ts.run_spec = SerializedTask(function, args, kwargs, task)
+
+            assert isinstance(priority, tuple)
+            priority = priority + (self.generation,)
+            self.generation -= 1
+
+            if actor:
+                self.actors[ts.key] = None
+
+            ts.exception = None
+            ts.traceback = None
+            ts.exception_text = ""
+            ts.traceback_text = ""
+            ts.priority = priority
+            ts.duration = duration
+            if resource_restrictions:
+                ts.resource_restrictions = resource_restrictions
+            ts.annotations = annotations
+
+            if self.validate:
+                assert who_has.keys() == nbytes.keys()
+                assert all(who_has.values())
+
+            for dep_key, dep_workers in who_has.items():
+                dep_ts = self.ensure_task_exists(
+                    key=dep_key,
+                    priority=priority,
+                    stimulus_id=stimulus_id,
+                )
+                # link up to child / parents
+                ts.dependencies.add(dep_ts)
+                dep_ts.dependents.add(ts)
+
+            for dep_key, value in nbytes.items():
+                self.tasks[dep_key].nbytes = value
+
+            self.update_who_has(who_has)
+        else:  # pragma: nocover
             raise RuntimeError(f"Unexpected task state encountered {ts} {stimulus_id}")
 
-        self._handle_instructions(instructions)
-        self.update_who_has(who_has)
         self.transitions(recommendations, stimulus_id=stimulus_id)
+        self._handle_instructions(instructions)
+
+        if self.validate:
+            # All previously unknown tasks that were created above by
+            # ensure_tasks_exists() have been transitioned to fetch or flight
+            assert all(
+                ts2.state != "released" for ts2 in (ts, *ts.dependencies)
+            ), self.story(ts, *ts.dependencies)
 
     ########################
     # Worker State Machine #
@@ -3436,7 +3454,6 @@ async def find_missing(self) -> None:
                 self.scheduler.who_has,
                 keys=[ts.key for ts in self._missing_dep_flight],
             )
-            who_has = {k: v for k, v in who_has.items() if v}
             self.update_who_has(who_has)
             recommendations: Recs = {}
             for ts in self._missing_dep_flight: