Extend listener hook-name log to remaining call sites

[1fanwang]

Description

Follow-up to #66395, which introduced the hook-name-in-log change for the
task instance listener call sites. This PR applies the identical mechanical
edit to the remaining listener-call surfaces so the suppressed-exception
log message identifies which listener hook raised across the entire codebase.

Surfaces covered

• DagRun state changes —
  airflow-core/src/airflow/api_fastapi/core_api/routes/public/dag_run.py
  (on_dag_run_success, on_dag_run_failed).
• DAG import errors —
  airflow-core/src/airflow/dag_processing/collection.py
  (on_existing_dag_import_error, on_new_dag_import_error).
• Asset events — airflow-core/src/airflow/assets/manager.py
  (on_asset_created, on_asset_alias_created, on_asset_changed,
  on_asset_event_emitted).
• Component lifecycle — airflow-core/src/airflow/jobs/job.py and
  task-sdk/src/airflow/sdk/execution_time/task_runner.py
  (on_starting, before_stopping).

After #66395 + this PR land, every listener-call site in airflow-core and
the Task SDK follows the same log format and listener-exception
suppression behavior is preserved.

Independence from #66395

This PR is not stacked: it touches only the call sites that #66395 does
not. The two PRs can land in either order without conflict.

Testing

The change is purely mechanical (single-line literal edit per call site).
Coverage of the new log format on a non-task-instance hook is added as
test_listener_lifecycle_error_log_includes_hook_name in
airflow-core/tests/unit/listeners/test_listeners.py: it registers a
listener that raises in on_starting, instantiates a Job to fire
the hook, and asserts the captured log includes "on_starting".
The existing test_listener_suppresses_exceptions continues to cover
the task-instance path.

---

^ Add meaningful description above
Read the Pull Request Guidelines for more information.

E2E validation

=== non-TI listener call sites with hook name ===
  dag_run.py:227    hook='on_dag_run_success'
  dag_run.py:236    hook='on_dag_run_failed'
  collection.py:399 hook='on_existing_dag_import_error'
  collection.py:414 hook='on_new_dag_import_error'
  job.py:150        hook='on_starting'
  job.py:283        hook='before_stopping'
  manager.py:399    hook='on_asset_created'
  manager.py:407    hook='on_asset_alias_created'
  manager.py:415    hook='on_asset_changed'
  manager.py:423    hook='on_asset_event_emitted'
  task_runner.py:962  hook='on_starting'
  task_runner.py:1939 hook='before_stopping'

Total: 12 non-TI sites across 5 files. TI sites (task_runner.py:1181/1906/1914/1922/1932) untouched here — those are #66395's scope.

Real e2e validation (Airflow standalone)

Re-ran with airflow standalone against the worktree's editable install. Registered a listener that raises on on_starting and before_stopping. Observed the new log format firing across every PR-C surface:

scheduler  | error calling listener for hook 'on_starting'      loc=job.py:150
dag-processor | error calling listener for hook 'on_starting'   loc=job.py:150
triggerer  | error calling listener for hook 'on_starting'      loc=job.py:150
worker     | error calling listener for hook 'on_starting'      loc=task_runner.py:962
worker     | error calling listener for hook 'before_stopping'  loc=task_runner.py:1939

Both source paths PR-C touches — airflow-core/src/airflow/jobs/job.py (Job lifecycle on every component) and task-sdk/src/airflow/sdk/execution_time/task_runner.py (worker lifecycle) — emit the hook name. Suppression is preserved: scheduler, dag-processor, triggerer, and the worker all started normally despite the listener throwing.

The on_dag_run_* and asset-listener call sites in this PR (in dag_run.py and assets/manager.py) fire from the API server's PATCH endpoint and the asset event paths respectively — not exercised by a simple worker-triggered DAG, but they share the mechanical edit shape and are already covered by the layer-2 dispatch test attached above.

Integrated mega-branch validation (all 7 PRs composed)

This PR was independently validated, plus all seven PRs in this stack (#66394, #66395, #66397, #66399, #66402, #66405, #66410) were merged onto a single branch and exercised end-to-end through real services — airflow standalone running scheduler + API server + LocalExecutor + Postgres-equivalent (sqlite for the test). A single listener plugin declaring every new hook and parameter was registered, then 5 DAGs covering every state-transition path were triggered + a manual-set-state PATCH via the public API was issued. The listener log is below — every annotation maps a line to the PR that introduced it:

running   prev=QUEUED    msg=started               task=ok_task                                        ← PR-A msg arg
success   prev=RUNNING   msg=success               task=ok_task                                        ← PR-A
running   prev=QUEUED    msg=started               task=boom_task
failed    prev=RUNNING   msg=failed                task=boom_task   error_type=ValueError   fd=None    ← PR-A + PR-D + PR-F kwarg
running   prev=QUEUED    msg=started               task=skip_task
skipped   prev=RUNNING   msg=skipped               task=skip_task                                      ← PR-A skipped path
running   prev=QUEUED    msg=started               task=retry_task
failed    prev=RUNNING   msg=up_for_retry          task=retry_task  error_type=ValueError              ← PR-A retry-vs-terminal
running   prev=QUEUED    msg=started               task=retry_task    (try 2 of 2)
failed    prev=RUNNING   msg=failed                task=retry_task  error_type=ValueError
running   prev=QUEUED    msg=started               task=checkpoint_task
checkpointed prev=RUNNING                          task=checkpoint_task  checkpoint_data={'step': 5,
                                                                          'iterator_offset': 1024}     ← PR-E + PR-G

--- BEGIN MANUAL SET (PATCH /api/v2/.../taskInstances/ok_task new_state=failed) ---
failed    prev=None      msg=manually_set_to_failed task=ok_task    error_type=RuntimeError   fd=None  ← PR-D RuntimeError wrap
                                                                                                          (would be `str` on the PR-A-only branch)

What this validates jointly:

PR	Surface	Evidence in log
#66394 (msg arg)	every TI hook has msg=...	6 canonical values fire (started, success, failed, skipped, up_for_retry, manually_set_to_failed)
#66395 (hook-name log, TI)	logs identify the failing hook	tested separately with throwing listener — see PR body
#66397 (hook-name log, rest)	lifecycle / DagRun / asset surfaces	tested separately with throwing listener — see PR body
#66399 (tighten error type)	error: BaseException | None	manual-set path delivers RuntimeError (was str on PR-A alone)
#66402 (CHECKPOINTED state)	worker catches AirflowTaskCheckpointed	running → checkpointed transition observed at the listener and at the supervisor message boundary
#66405 (FailureDetails)	listener can declare failure_details kwarg	failure_details=None flowing through every failure (no executor populates yet)
#66410 (on_task_instance_checkpointed)	new hook fires with payload	checkpointed task=checkpoint_task checkpoint_data={'step': 5, ...}

Repro

# Combine all 7 branches onto a mega branch (resolve trivial overlap on the
# spec file's failure hook signature — error + msg + failure_details kwargs
# in one signature) and install editable:
pip install -e shared/listeners -e task-sdk -e airflow-core
AIRFLOW__CORE__EXECUTOR=LocalExecutor airflow standalone &

# Drop the recording listener (declares all 5 hooks including the new
# checkpointed one) into $AIRFLOW_HOME/plugins/, drop 5 DAGs into dags/
# (success / failed / skipped / retry-then-fail / checkpointed), trigger them.
for dag in e2e_success e2e_failed e2e_skipped e2e_retry_then_fail e2e_checkpointed; do
  airflow dags trigger $dag
done

# Then PATCH a state via the public API to exercise the manual path.

Bugs surfaced and fixed during this validation

This step caught 6 bugs that the layer-2 unit-test pass missed — every fix is a separate commit on its respective PR's branch:

• AIP-96 (draft): add CHECKPOINTED state and AirflowTaskCheckpointed exception #66402: missing AirflowTaskCheckpointed import in run() (NameError)
• AIP-96 (draft): add CHECKPOINTED state and AirflowTaskCheckpointed exception #66402: task-sdk _generated.py TaskInstanceState missing CHECKPOINTED (AttributeError)
• AIP-96 (draft): add CHECKPOINTED state and AirflowTaskCheckpointed exception #66402: TaskState supervisor message Literal rejected CHECKPOINTED (Pydantic ValidationError)
• AIP-96 (draft): add CHECKPOINTED state and AirflowTaskCheckpointed exception #66402: task-sdk _generated.py IntermediateTIState missing CHECKPOINTED
• AIP-97 (draft): add FailureDetails primitive for infrastructure-side failure context #66405: pluggy default-eats-caller-value quirk — listener with failure_details=None default silently received None
• AIP-97 (draft): add FailureDetails primitive for infrastructure-side failure context #66405: every existing on_task_instance_failed call site missing failure_details kwarg (HookCallError: hook call must provide argument)

Last two would have broken every task failure on apache/airflow main if the foundation PRs landed without the call-site fixes. The standalone-against-editable-install harness is a fast catch for this class.

Documented gap (deliberately not fixed in this stack)

task-sdk/.../supervisor.py:STATES_SENT_DIRECTLY lists the states the worker sends to the supervisor with a dedicated direct-send branch. CHECKPOINTED is not in that list, so it falls back to client.task_instances.finish() which the API server constrains to terminal states. The mega listener log shows the worker successfully logging Task checkpointed; reporting CHECKPOINTED state. and on_task_instance_checkpointed firing with the correct payload — but the DB row eventually transitions to failed because the supervisor cannot persist CHECKPOINTED through finish(). This is the AIP-96 design knob (auto-resume vs manual-resume-only) we deliberately want the discussion to settle, not silently pick. Documented in #66402.