fix(orchestrator): record the terminal states that were never written

Two defects with one shape: an execution reaches a terminal condition and the
orchestrator fails to write it down, so the system's own record disagrees with
what happened. Neither produced an error. Both produced silence.

T-2 -- a restart mid-task unscheduled that task forever.

get_tasks_for_minute excludes any task holding a task_executions row with
status='running'. The row is written before the executor runs and updated
after, so a process dying in between left it 'running' permanently, and the
task was then excluded from every future minute with no error, no alarm and no
log line. It did not fail; it went quiet.

test_example_task had held such a row since 2025-12-07 -- 5916 hours. It is
disabled, so nothing was broken by that instance; the mechanism is the point,
and the exposure is daily, because Watchtower restarts this container at 4 AM
while the config backup starts at 03:05 and runs ~21 minutes.

Startup now reconciles them, where the reasoning is sound by construction: this
process has just begun, so nothing it can see is genuinely running.

Marked 'orphaned', not 'failed'. When the process dies mid-task the work may
well have completed -- a backup that finished and never got to update its row
is indistinguishable from one that died halfway -- and 'failed' would assert an
outcome nobody observed. Same error as the health-report diagnostic fixed in
18be804: naming a cause you did not witness.

Not extended to a duration-based sweep. While this process lives, execute_task's
finally clause always closes the row, so a stale row implies a dead owner. A
time-based rule would have to tell a slow task from a dead one, and getting that
wrong closes the record of a task still working.

T-3 -- the 'timeout' status was unreachable.

execute_task has an `except asyncio.TimeoutError` branch that records
status='timeout'. It could never run: _run_executor wrapped the awaited call in
`except Exception`, and since 3.11 asyncio.TimeoutError IS the builtin
TimeoutError (OSError -> Exception), so the broad handler caught it first and
converted it to an ordinary error tuple. Confirmed in the deployed runtime and
against the history -- 18,785 executions since 2025-12-07, of which 'timeout'
rows: zero. Every timeout in eight months was filed as a generic failure,
erasing the distinction between "too slow for its window" and "broken".

A narrower except after a broader one is dead code, and no linter is configured
here to say so.

One trap in fixing it: while the branch was unreachable a timeout travelled the
normal path, which DOES update scheduled_tasks. Making the branch reachable
without that write would have traded a wrong status for a stale one, so
_update_task_outcome now mirrors terminal outcomes onto the parent row.

The timeout message also states that the work may still be running -- after
T-74 executors are handed to asyncio.to_thread, and a thread cannot be
cancelled, so wait_for frees the loop while the work continues.

Both fixes are mutation-checked: removing the startup call fails the ordering
test, removing the narrow except clause fails the propagation test. Suite goes
118 -> 126 passing with the same 36 pre-existing failures.

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
2026-08-11 12:09:35 +02:00
co-authored by Claude
parent d91d0f2c63
commit e45de4fec7
6 changed files with 401 additions and 2 deletions
+47
View File
@@ -0,0 +1,47 @@
INSERT INTO ticket_history (ticket_record_id, field, old_value, new_value, changed_by, changed_at, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0FHPBBXXKBRWGR3FJZRK58', 'description', NULL, 'DELETE /tasks/{task_name} returns 500 whenever the task has at least one row in task_executions:
psycopg2.errors.ForeignKeyViolation: update or delete on table "scheduled_tasks"
violates foreign key constraint "task_executions_task_id_fkey" on table "task_executions"
DETAIL: Key (id)=(46) is still referenced from table "task_executions".
src/main.py:355. Since every task that has ever fired has execution history, the endpoint works only for tasks that have never run — which is close to none of them. Found on 2026-08-11 while cleaning up a temporary probe task created for T-74; it had to be removed with hand-written SQL against two tables, which is not something the API should require.
The caller gets a bare "Internal Server Error" with no indication that history is the obstacle, so it reads as the service being broken rather than the request being refusable.
Deciding what delete should MEAN is the actual work here, and it should not be guessed:
- cascade — drop the execution history with the task. Simple, and silently destroys the audit trail for a task someone deletes by mistake.
- soft delete — mark it deleted and keep the history. Keeps the audit trail, adds a state every query then has to filter on.
- refuse with 409 and a real message ("task has N executions; pass ?purge=true"). Explicit, and makes the destructive variant a deliberate act.
The third is the smallest correct change and matches how the rest of this system treats destructive operations. Whichever is chosen, a 500 on a foreseeable, well-defined condition is the part that is simply wrong.', NULL, '2026-08-11 09:53:56', '2026-08-11 09:53:56.969', '2026-08-11 09:53:56.969', NULL, '8b2dfce5342a7cd89bbe6d04c03157f1', 2) ON CONFLICT(hash) DO NOTHING;
INSERT INTO ticket_history (ticket_record_id, field, old_value, new_value, changed_by, changed_at, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQAR5KXM3PTG0QT3R1PV8', 'description', NULL, 'get_tasks_for_minute (src/tasks/executor.py:70) excludes any task holding a task_executions row with status=''running'':
AND id NOT IN (SELECT task_id FROM task_executions WHERE status = ''running'')
Nothing ever reconciles that row. It is written before the executor runs and updated after, so a process that dies in between leaves it ''running'' permanently — and the task is then excluded from every future minute, forever, with no error, no alarm and no log line. The task simply stops existing as far as the scheduler is concerned.
This is not hypothetical. test_example_task has held a ''running'' row since 2025-12-07 — 5916 hours. It happens to be disabled, so nothing is broken today; the mechanism is what matters, not this instance.
The exposure is real and daily: Watchtower restarts this container every morning at 4 AM. Any task still running at that moment is permanently unscheduled by it. The config backup runs 03:05 and takes ~21 minutes, which is not far off.
The failure mode is the one this system keeps producing: it looks like nothing. A backup that stops running forever produces no failure — it produces silence, and silence reads as health.
FIX: reconcile at startup. Any row left ''running'' when the process starts cannot be running, because the process that owned it is gone. Mark those ''orphaned'' (or ''failed'' with a message naming the restart) during app startup, before the scheduler begins its first minute. Consider also a stale-row guard for rows older than the task''s timeout_seconds, which covers a killed worker without a restart.
The audit trail is preserved either way — this is a status correction, not a deletion.', NULL, '2026-08-11 09:59:05', '2026-08-11 09:59:05.288', '2026-08-11 09:59:05.288', NULL, '1b14bc4af4acc6df0dc2d21675edf31f', 2) ON CONFLICT(hash) DO NOTHING;
INSERT INTO ticket_history (ticket_record_id, field, old_value, new_value, changed_by, changed_at, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQBTCRCTXK6EJF0T8CS2C', 'description', NULL, 'execute_task has an `except asyncio.TimeoutError` handler (src/tasks/executor.py:179) that records status=''timeout''. It can never run.
_run_executor wraps the awaited call in `except Exception` (line 219) and returns the error as a value. Since Python 3.11 asyncio.TimeoutError IS the builtin TimeoutError, which inherits OSError -> Exception, so the broad handler catches it first and converts it into an ordinary (None, error) tuple. execute_task then sees a non-None error and files status=''failed''.
Verified in the deployed runtime:
asyncio.TimeoutError is TimeoutError: True
MRO: TimeoutError -> OSError -> Exception -> BaseException
And confirmed against 8 months of history — 18,785 executions, and the count of status=''timeout'' rows is zero:
success 16690 | failed 2093 | running 2 | timeout 0
So every timeout since 2025-12-07 has been recorded as a generic failure carrying a traceback. Operationally that erases the distinction that matters most when a job misbehaves: "this job is too slow for its window" and "this job is broken" need different responses, and right now they look identical in the history.
FIX: catch asyncio.TimeoutError explicitly in _run_executor, ahead of the broad handler, and let it propagate (or return a marker execute_task can distinguish). Note the ordering is the whole bug — a narrower except after a broader one is dead code, and there is no linter configured here to say so.
Related: a thread started by asyncio.to_thread cannot be cancelled, so after T-74 a timeout frees the loop while the work continues to completion. Whatever ''timeout'' comes to mean should say so rather than implying the work stopped.', NULL, '2026-08-11 09:59:05', '2026-08-11 09:59:05.545', '2026-08-11 09:59:05.545', NULL, 'af08842306d6326036b1865b8cbf7c58', 2) ON CONFLICT(hash) DO NOTHING;
+3
View File
@@ -0,0 +1,3 @@
INSERT INTO ticket_idmap (record_id, ticket_id, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0FHPBBXXKBRWGR3FJZRK58', 'T-1', '2026-08-11 09:53:56.835', '2026-08-11 09:53:56.835', NULL, '3d980945e785a6bc7ca8fcaa8250e22b', 2) ON CONFLICT(record_id) DO UPDATE SET ticket_id=excluded.ticket_id, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= ticket_idmap.updated_at;
INSERT INTO ticket_idmap (record_id, ticket_id, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQAR5KXM3PTG0QT3R1PV8', 'T-2', '2026-08-11 09:59:05.153', '2026-08-11 09:59:05.153', NULL, 'c8655ec9601ba93fe822395329e62262', 2) ON CONFLICT(record_id) DO UPDATE SET ticket_id=excluded.ticket_id, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= ticket_idmap.updated_at;
INSERT INTO ticket_idmap (record_id, ticket_id, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQBTCRCTXK6EJF0T8CS2C', 'T-3', '2026-08-11 09:59:05.427', '2026-08-11 09:59:05.427', NULL, '3bce28c3d803d3f5036cfbb1ac11969c', 2) ON CONFLICT(record_id) DO UPDATE SET ticket_id=excluded.ticket_id, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= ticket_idmap.updated_at;
+50
View File
@@ -0,0 +1,50 @@
INSERT INTO tickets (record_id, type, parent_record_id, title, description, status, priority, assigned_to, team, decision_ref, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0FHPBBXXKBRWGR3FJZRK58', 'bug', NULL, 'DELETE /tasks/{name} 500s for any task that has ever run', NULL, 'backlog', 'high', NULL, NULL, NULL, '2026-08-11 09:53:56.826', '2026-08-11 09:53:56.826', NULL, '86310746d98f53b722c7336b0bab980a', 2) ON CONFLICT(record_id) DO UPDATE SET type=excluded.type, parent_record_id=excluded.parent_record_id, title=excluded.title, description=excluded.description, status=excluded.status, priority=excluded.priority, assigned_to=excluded.assigned_to, team=excluded.team, decision_ref=excluded.decision_ref, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= tickets.updated_at;
INSERT INTO tickets (record_id, type, parent_record_id, title, description, status, priority, assigned_to, team, decision_ref, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0FHPBBXXKBRWGR3FJZRK58', 'bug', NULL, 'DELETE /tasks/{name} 500s for any task that has ever run', 'DELETE /tasks/{task_name} returns 500 whenever the task has at least one row in task_executions:
psycopg2.errors.ForeignKeyViolation: update or delete on table "scheduled_tasks"
violates foreign key constraint "task_executions_task_id_fkey" on table "task_executions"
DETAIL: Key (id)=(46) is still referenced from table "task_executions".
src/main.py:355. Since every task that has ever fired has execution history, the endpoint works only for tasks that have never run — which is close to none of them. Found on 2026-08-11 while cleaning up a temporary probe task created for T-74; it had to be removed with hand-written SQL against two tables, which is not something the API should require.
The caller gets a bare "Internal Server Error" with no indication that history is the obstacle, so it reads as the service being broken rather than the request being refusable.
Deciding what delete should MEAN is the actual work here, and it should not be guessed:
- cascade — drop the execution history with the task. Simple, and silently destroys the audit trail for a task someone deletes by mistake.
- soft delete — mark it deleted and keep the history. Keeps the audit trail, adds a state every query then has to filter on.
- refuse with 409 and a real message ("task has N executions; pass ?purge=true"). Explicit, and makes the destructive variant a deliberate act.
The third is the smallest correct change and matches how the rest of this system treats destructive operations. Whichever is chosen, a 500 on a foreseeable, well-defined condition is the part that is simply wrong.', 'backlog', 'high', NULL, NULL, NULL, '2026-08-11 09:53:56.826', '2026-08-11 09:53:56.969', NULL, '248bb53ca2bae0f12fabd9d88a1ca171', 2) ON CONFLICT(record_id) DO UPDATE SET type=excluded.type, parent_record_id=excluded.parent_record_id, title=excluded.title, description=excluded.description, status=excluded.status, priority=excluded.priority, assigned_to=excluded.assigned_to, team=excluded.team, decision_ref=excluded.decision_ref, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= tickets.updated_at;
INSERT INTO tickets (record_id, type, parent_record_id, title, description, status, priority, assigned_to, team, decision_ref, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQAR5KXM3PTG0QT3R1PV8', 'bug', NULL, 'A restart mid-task unschedules that task forever, silently', NULL, 'backlog', 'high', NULL, NULL, NULL, '2026-08-11 09:59:05.153', '2026-08-11 09:59:05.153', NULL, '0bda80455ba51ea4cb0cb91e302ac216', 2) ON CONFLICT(record_id) DO UPDATE SET type=excluded.type, parent_record_id=excluded.parent_record_id, title=excluded.title, description=excluded.description, status=excluded.status, priority=excluded.priority, assigned_to=excluded.assigned_to, team=excluded.team, decision_ref=excluded.decision_ref, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= tickets.updated_at;
INSERT INTO tickets (record_id, type, parent_record_id, title, description, status, priority, assigned_to, team, decision_ref, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQAR5KXM3PTG0QT3R1PV8', 'bug', NULL, 'A restart mid-task unschedules that task forever, silently', 'get_tasks_for_minute (src/tasks/executor.py:70) excludes any task holding a task_executions row with status=''running'':
AND id NOT IN (SELECT task_id FROM task_executions WHERE status = ''running'')
Nothing ever reconciles that row. It is written before the executor runs and updated after, so a process that dies in between leaves it ''running'' permanently — and the task is then excluded from every future minute, forever, with no error, no alarm and no log line. The task simply stops existing as far as the scheduler is concerned.
This is not hypothetical. test_example_task has held a ''running'' row since 2025-12-07 — 5916 hours. It happens to be disabled, so nothing is broken today; the mechanism is what matters, not this instance.
The exposure is real and daily: Watchtower restarts this container every morning at 4 AM. Any task still running at that moment is permanently unscheduled by it. The config backup runs 03:05 and takes ~21 minutes, which is not far off.
The failure mode is the one this system keeps producing: it looks like nothing. A backup that stops running forever produces no failure — it produces silence, and silence reads as health.
FIX: reconcile at startup. Any row left ''running'' when the process starts cannot be running, because the process that owned it is gone. Mark those ''orphaned'' (or ''failed'' with a message naming the restart) during app startup, before the scheduler begins its first minute. Consider also a stale-row guard for rows older than the task''s timeout_seconds, which covers a killed worker without a restart.
The audit trail is preserved either way — this is a status correction, not a deletion.', 'backlog', 'high', NULL, NULL, NULL, '2026-08-11 09:59:05.153', '2026-08-11 09:59:05.288', NULL, '23a72bff9ffc3592c796741df8a7232e', 2) ON CONFLICT(record_id) DO UPDATE SET type=excluded.type, parent_record_id=excluded.parent_record_id, title=excluded.title, description=excluded.description, status=excluded.status, priority=excluded.priority, assigned_to=excluded.assigned_to, team=excluded.team, decision_ref=excluded.decision_ref, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= tickets.updated_at;
INSERT INTO tickets (record_id, type, parent_record_id, title, description, status, priority, assigned_to, team, decision_ref, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQBTCRCTXK6EJF0T8CS2C', 'bug', NULL, 'The ''timeout'' execution status is unreachable; timeouts are filed as generic failures', NULL, 'backlog', 'medium', NULL, NULL, NULL, '2026-08-11 09:59:05.427', '2026-08-11 09:59:05.427', NULL, '31a32d6dce87263657892d48552d1f0a', 2) ON CONFLICT(record_id) DO UPDATE SET type=excluded.type, parent_record_id=excluded.parent_record_id, title=excluded.title, description=excluded.description, status=excluded.status, priority=excluded.priority, assigned_to=excluded.assigned_to, team=excluded.team, decision_ref=excluded.decision_ref, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= tickets.updated_at;
INSERT INTO tickets (record_id, type, parent_record_id, title, description, status, priority, assigned_to, team, decision_ref, created_at, updated_at, deleted_at, hash, canonical_version) VALUES ('06FZ0GQBTCRCTXK6EJF0T8CS2C', 'bug', NULL, 'The ''timeout'' execution status is unreachable; timeouts are filed as generic failures', 'execute_task has an `except asyncio.TimeoutError` handler (src/tasks/executor.py:179) that records status=''timeout''. It can never run.
_run_executor wraps the awaited call in `except Exception` (line 219) and returns the error as a value. Since Python 3.11 asyncio.TimeoutError IS the builtin TimeoutError, which inherits OSError -> Exception, so the broad handler catches it first and converts it into an ordinary (None, error) tuple. execute_task then sees a non-None error and files status=''failed''.
Verified in the deployed runtime:
asyncio.TimeoutError is TimeoutError: True
MRO: TimeoutError -> OSError -> Exception -> BaseException
And confirmed against 8 months of history — 18,785 executions, and the count of status=''timeout'' rows is zero:
success 16690 | failed 2093 | running 2 | timeout 0
So every timeout since 2025-12-07 has been recorded as a generic failure carrying a traceback. Operationally that erases the distinction that matters most when a job misbehaves: "this job is too slow for its window" and "this job is broken" need different responses, and right now they look identical in the history.
FIX: catch asyncio.TimeoutError explicitly in _run_executor, ahead of the broad handler, and let it propagate (or return a marker execute_task can distinguish). Note the ordering is the whole bug — a narrower except after a broader one is dead code, and there is no linter configured here to say so.
Related: a thread started by asyncio.to_thread cannot be cancelled, so after T-74 a timeout frees the loop while the work continues to completion. Whatever ''timeout'' comes to mean should say so rather than implying the work stopped.', 'backlog', 'medium', NULL, NULL, NULL, '2026-08-11 09:59:05.427', '2026-08-11 09:59:05.545', NULL, 'ae0db866086e38b681b0ea32837df277', 2) ON CONFLICT(record_id) DO UPDATE SET type=excluded.type, parent_record_id=excluded.parent_record_id, title=excluded.title, description=excluded.description, status=excluded.status, priority=excluded.priority, assigned_to=excluded.assigned_to, team=excluded.team, decision_ref=excluded.decision_ref, updated_at=excluded.updated_at, deleted_at=excluded.deleted_at, hash=excluded.hash, canonical_version=excluded.canonical_version WHERE excluded.updated_at >= tickets.updated_at;
+7
View File
@@ -65,6 +65,13 @@ async def lifespan(app: FastAPI):
task_executor = TaskExecutor(settings)
logger.info("Task executor initialized (max 5 concurrent tasks)")
# Before the first minute is processed, release any task still held by an
# execution row belonging to an instance that no longer exists. A 'running'
# row excludes its task from scheduling permanently, so skipping this leaves
# tasks silently unschedulable across every restart. Blocking briefly is fine
# here — the app serves no requests until lifespan yields.
task_executor.reconcile_orphaned_executions()
# Initialize APScheduler with minimal configuration
# No jobstore needed - we only have one in-memory job
scheduler = AsyncIOScheduler(
+116 -2
View File
@@ -115,6 +115,70 @@ class TaskExecutor:
return True
def reconcile_orphaned_executions(self) -> int:
"""Close out execution rows left 'running' by a process that is gone.
get_tasks_for_minute excludes any task holding a 'running' row. That row
is written before the executor runs and updated after, so a process that
dies in between leaves it 'running' forever — and the task is then
excluded from every future minute, permanently, with no error and no log
line. It does not fail; it goes quiet, and quiet reads as healthy.
Live exposure rather than theory: Watchtower restarts this container at
4 AM daily, and the config backup starts at 03:05 and runs ~21 minutes.
A row from 2025-12-07 sat 'running' for eight months before anyone
looked.
Called at startup, where the reasoning is sound by construction: this
process has just begun, so nothing it can see is genuinely running, and
any such row belongs to an instance that no longer exists.
Marked 'orphaned', not 'failed'. When the process dies mid-task the work
may well have finished — a backup that completed and never got to update
its row is indistinguishable from one that died halfway. 'failed' would
assert an outcome nobody observed. 'orphaned' says only what is known:
we lost track of it.
Deliberately not extended to a time-based sweep of long-running rows.
While this process lives, execute_task's finally clause always closes the
row out, so a stale row implies a dead owner. A duration-based rule would
have to tell a slow task from a dead one, and getting that wrong closes
the record of a task that is still working.
"""
try:
with self.get_db_connection() as conn:
with conn.cursor() as cur:
cur.execute("""
UPDATE task_executions
SET status = 'orphaned',
completed_at = %s,
error = 'Scheduler restarted while this execution was '
'running; its outcome is unknown.'
WHERE status = 'running'
RETURNING task_name, started_at
""", (datetime.now(timezone.utc),))
orphans = cur.fetchall()
conn.commit()
except Exception as e:
# Never fatal. A scheduler that refuses to start because it could not
# tidy up is worse than one carrying a stale row.
logger.error(f"Could not reconcile orphaned executions: {e}")
return 0
for task_name, started_at in orphans:
logger.warning(
f"Orphaned execution recovered: {task_name} was left 'running' "
f"since {started_at}. That task had been excluded from scheduling "
f"until now."
)
if orphans:
logger.warning(
f"{len(orphans)} task(s) were unschedulable and are now released."
)
else:
logger.info("No orphaned executions to reconcile")
return len(orphans)
async def execute_task(self, task: Dict[str, Any]):
"""
Execute a single task with timeout and error handling.
@@ -178,8 +242,17 @@ class TaskExecutor:
except asyncio.TimeoutError:
logger.error(f"Task {task_name} timed out after {timeout}s")
self._update_execution_status(execution_id, 'timeout',
error=f"Task exceeded timeout of {timeout}s")
self._update_execution_status(
execution_id, 'timeout',
error=f"Task exceeded timeout of {timeout}s. The underlying work may "
f"still be running — executors that use asyncio.to_thread hand "
f"the work to a thread, and a thread cannot be cancelled.")
# scheduled_tasks has to be written here as well. On the normal path
# it is updated alongside the execution row, and while this branch was
# unreachable a timeout travelled that path as a 'failed' result — so
# last_status did stay current. Making the branch reachable without
# this call would swap one wrong status for a stale one.
self._update_task_outcome(task_id, 'timeout', started_at)
except Exception as e:
logger.error(f"Task {task_name} failed with exception: {e}")
@@ -214,11 +287,52 @@ class TaskExecutor:
return result, None
except asyncio.TimeoutError:
# This clause must precede `except Exception`, and that ordering is
# the entire bug it fixes. Since Python 3.11 asyncio.TimeoutError IS
# the builtin TimeoutError, which inherits OSError -> Exception, so
# the broad handler below used to catch it first and convert it into
# an ordinary (None, error) tuple. execute_task then filed it as a
# generic 'failed', and its own `except asyncio.TimeoutError` branch
# was unreachable: zero 'timeout' rows across 18,785 executions and
# eight months of history.
#
# Re-raised rather than returned, because the distinction is the
# point: "too slow for its window" and "broken" call for different
# responses and were indistinguishable in the record.
raise
except ModuleNotFoundError:
return None, f"Executor module not found: {executor_name}"
except Exception as e:
return None, f"Executor error: {str(e)}\n{traceback.format_exc()}"
def _update_task_outcome(self, task_id: int, status: str, started_at: datetime):
"""Mirror a terminal outcome onto scheduled_tasks.
The happy path writes task_executions and scheduled_tasks in one
transaction. The error branches historically wrote only the former, which
did not show while every timeout was being funnelled through the happy
path as a 'failed'. Once a branch bypasses that path it has to keep
last_run/last_status current itself, or the task list quietly reports the
previous run's outcome as though it were the latest.
"""
try:
completed_at = datetime.now(timezone.utc)
with self.get_db_connection() as conn:
with conn.cursor() as cur:
cur.execute("""
UPDATE scheduled_tasks
SET last_run = %s, last_status = %s,
last_duration_seconds = %s, updated_at = %s
WHERE id = %s
""", (completed_at, status,
int((completed_at - started_at).total_seconds()),
completed_at, task_id))
conn.commit()
except Exception as e:
logger.error(f"Failed to update task outcome for {task_id}: {e}")
def _update_execution_status(self, execution_id: int, status: str, error: str = None):
"""Update execution record with final status."""
if execution_id is None:
+178
View File
@@ -305,3 +305,181 @@ class TestTaskExecutor:
# Should only execute max_concurrent (5) tasks
assert mock_execute.call_count <= executor.max_concurrent
@pytest.mark.unit
class TestOrphanReconciliation:
"""T-2. A 'running' row excludes its task from scheduling forever.
get_tasks_for_minute filters out any task holding one, and nothing ever
closed those rows, so a process that died between writing the row and
updating it left its task permanently unschedulable — silently. A row from
2025-12-07 sat that way for eight months. Watchtower restarts this container
nightly, so the exposure was daily.
"""
def _mock_conn(self, executor, rows):
conn, cur = MagicMock(), MagicMock()
cur.fetchall.return_value = rows
conn.cursor.return_value.__enter__ = MagicMock(return_value=cur)
conn.cursor.return_value.__exit__ = MagicMock(return_value=None)
conn.__enter__ = MagicMock(return_value=conn)
conn.__exit__ = MagicMock(return_value=None)
patcher = patch.object(executor, 'get_db_connection', return_value=conn)
patcher.start()
return cur, patcher
def test_running_rows_are_released(self, test_settings: Settings):
executor = TaskExecutor(test_settings)
cur, p = self._mock_conn(executor, [("backup_docker_configs_daily", datetime(2026, 8, 11))])
try:
assert executor.reconcile_orphaned_executions() == 1
sql = cur.execute.call_args[0][0]
assert "UPDATE task_executions" in sql
# It must target exactly the rows get_tasks_for_minute excludes, and
# move them to a status it does not exclude. If these two ever drift
# apart the bug returns in silence.
assert "WHERE status = 'running'" in sql
assert "status = 'orphaned'" in sql
finally:
p.stop()
def test_clean_startup_reports_nothing(self, test_settings: Settings):
executor = TaskExecutor(test_settings)
cur, p = self._mock_conn(executor, [])
try:
assert executor.reconcile_orphaned_executions() == 0
finally:
p.stop()
def test_a_database_failure_does_not_stop_startup(self, test_settings: Settings):
"""Refusing to boot because cleanup failed is worse than a stale row."""
executor = TaskExecutor(test_settings)
with patch.object(executor, 'get_db_connection', side_effect=Exception("db down")):
assert executor.reconcile_orphaned_executions() == 0 # no raise
def test_orphaned_is_not_failed(self, test_settings: Settings):
"""The outcome is unknown, not known-bad.
A backup that finished and never got to update its row looks identical to
one that died halfway. Recording 'failed' asserts something nobody
observed.
"""
executor = TaskExecutor(test_settings)
cur, p = self._mock_conn(executor, [("t", datetime(2026, 1, 1))])
try:
executor.reconcile_orphaned_executions()
sql = cur.execute.call_args[0][0]
assert "'failed'" not in sql
finally:
p.stop()
@pytest.mark.asyncio
async def test_startup_reconciles_before_the_scheduler_starts(
self, test_settings: Settings, monkeypatch
):
"""Order matters: reconcile must finish before the first minute is processed.
Run the other way round and the first tick still sees the stale rows.
"""
from src import main
order = []
monkeypatch.setattr(main, 'get_settings', lambda: test_settings)
monkeypatch.setattr(
TaskExecutor, 'reconcile_orphaned_executions',
lambda self: (order.append('reconcile'), 0)[1],
)
class FakeScheduler:
def add_job(self, **kw): order.append('add_job')
def start(self): order.append('start')
def shutdown(self, wait=True): order.append('shutdown')
monkeypatch.setattr(main, 'AsyncIOScheduler', lambda **kw: FakeScheduler())
async with main.lifespan(None):
pass
assert 'reconcile' in order, "startup never reconciled orphaned executions"
assert order.index('reconcile') < order.index('start')
@pytest.mark.unit
class TestTimeoutIsDistinguishable:
"""T-3. The 'timeout' status existed in the code and had never been written.
_run_executor's `except Exception` sat above execute_task's
`except asyncio.TimeoutError`, and since 3.11 asyncio.TimeoutError IS the
builtin TimeoutError (OSError -> Exception), so the broad handler always won.
Eight months, 18,785 executions, zero timeout rows — every one filed as a
generic failure, erasing the difference between "too slow for its window" and
"broken".
"""
@pytest.mark.asyncio
async def test_timeout_propagates_instead_of_becoming_an_error_tuple(
self, test_settings: Settings, monkeypatch
):
import sys, types, asyncio as aio
mod = types.ModuleType("src.executors.slow_probe")
async def execute(config, settings):
await aio.sleep(5)
mod.execute = execute
monkeypatch.setitem(sys.modules, "src.executors.slow_probe", mod)
executor = TaskExecutor(test_settings)
with pytest.raises(aio.TimeoutError):
await executor._run_executor("slow_probe", {"config": {}}, timeout=0.05)
@pytest.mark.asyncio
async def test_a_timed_out_task_is_recorded_as_timeout(self, test_settings: Settings):
import asyncio as aio
executor = TaskExecutor(test_settings)
task = {'id': 7, 'task_name': 'slow', 'executor': 'slow_probe',
'service': 'scheduler', 'priority': 5, 'timeout_seconds': 1}
conn, cur = MagicMock(), MagicMock()
cur.fetchone.return_value = [123]
conn.cursor.return_value.__enter__ = MagicMock(return_value=cur)
conn.cursor.return_value.__exit__ = MagicMock(return_value=None)
conn.__enter__ = MagicMock(return_value=conn)
conn.__exit__ = MagicMock(return_value=None)
with patch.object(executor, 'get_db_connection', return_value=conn), \
patch.object(executor, '_run_executor',
new=AsyncMock(side_effect=aio.TimeoutError())), \
patch.object(executor, '_update_execution_status') as upd_exec, \
patch.object(executor, '_update_task_outcome') as upd_task:
await executor.execute_task(task)
assert upd_exec.call_args[0][1] == 'timeout', "execution row must say timeout"
# The trap: while the timeout branch was unreachable a timeout travelled
# the normal path, which DOES update scheduled_tasks. Making the branch
# reachable without this call would swap a wrong status for a stale one.
assert upd_task.called, "scheduled_tasks left stale after a timeout"
assert upd_task.call_args[0][1] == 'timeout'
@pytest.mark.asyncio
async def test_ordinary_errors_are_still_returned_not_raised(
self, test_settings: Settings, monkeypatch
):
"""The narrow clause must not swallow anything else on its way past."""
import sys, types
mod = types.ModuleType("src.executors.boom_probe")
async def execute(config, settings):
raise ValueError("kaboom")
mod.execute = execute
monkeypatch.setitem(sys.modules, "src.executors.boom_probe", mod)
executor = TaskExecutor(test_settings)
output, error = await executor._run_executor("boom_probe", {"config": {}}, timeout=5)
assert output is None
assert "kaboom" in error