dstandish commented on code in PR #37851:
URL: https://github.com/apache/airflow/pull/37851#discussion_r1510093507
##########
airflow/serialization/pydantic/taskinstance.py:
##########
@@ -106,14 +107,59 @@ class TaskInstancePydantic(BaseModelPydantic,
LoggingMixin):
trigger_timeout: Optional[datetime]
next_method: Optional[str]
next_kwargs: Optional[dict]
- run_as_user: Optional[str]
- task: PydanticOperator
+ run_as_user: Optional[str] = None
+ task: Optional[PydanticOperator] = None
test_mode: bool
dag_run: Optional[DagRunPydantic]
dag_model: Optional[DagModelPydantic]
-
+ raw: Optional[bool] = None
+ is_trigger_log_context: Optional[bool] = False
model_config = ConfigDict(from_attributes=True,
arbitrary_types_allowed=True)
+ @property
+ def _logger_name(self):
+ return "airflow.task"
+
+ def _run_raw_task(
+ self,
+ mark_success: bool = False,
+ test_mode: bool = False,
+ job_id: str | None = None,
+ pool: str | None = None,
+ raise_on_defer: bool = False,
+ session: Session = NEW_SESSION,
+ ):
+ self.refresh_from_db()
+ state = None
+ try:
+ context = self.get_template_context(ignore_param_exceptions=False)
+ TaskInstance._execute_task_with_callbacks(self, context,
test_mode, session=session)
+ state = "success"
+ self.set_state(ti=self, state=state)
+ except Exception as e:
+ state = "failed"
+ self.set_state(ti=self, state=state)
+ raise
Review Comment:
this is simplified version of the equivalent TI method. there's more
complexity to resolve in making a fully compatible version
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