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from __future__ import annotations
import datetime
import os
import warnings
from typing import TYPE_CHECKING, Any, Callable, Collection, Iterable
import attr
from sqlalchemy import func
from airflow.exceptions import AirflowException, AirflowSkipException, RemovedInAirflow3Warning
from airflow.models.baseoperator import BaseOperatorLink
from airflow.models.dag import DagModel
from airflow.models.dagbag import DagBag
from airflow.models.dagrun import DagRun
from airflow.models.taskinstance import TaskInstance
from airflow.operators.empty import EmptyOperator
from airflow.sensors.base import BaseSensorOperator
from airflow.utils.file import correct_maybe_zipped
from airflow.utils.helpers import build_airflow_url_with_query
from airflow.utils.session import NEW_SESSION, provide_session
from airflow.utils.sqlalchemy import tuple_in_condition
from airflow.utils.state import State
if TYPE_CHECKING:
from sqlalchemy.orm import Query, Session
from airflow.utils.context import Context
[docs]class ExternalDagLink(BaseOperatorLink):
"""
Operator link for ExternalTaskSensor and ExternalTaskMarker.
It allows users to access DAG waited with ExternalTaskSensor or cleared by ExternalTaskMarker.
"""
[docs] def get_link(self, operator, dttm):
ti = TaskInstance(task=operator, execution_date=dttm)
operator.render_template_fields(ti.get_template_context())
query = {"dag_id": operator.external_dag_id, "execution_date": dttm.isoformat()}
return build_airflow_url_with_query(query)
[docs]class ExternalTaskSensor(BaseSensorOperator):
"""
Waits for a different DAG, task group, or task to complete for a specific logical date.
If both `external_task_group_id` and `external_task_id` are ``None`` (default), the sensor
waits for the DAG.
Values for `external_task_group_id` and `external_task_id` can't be set at the same time.
By default, the ExternalTaskSensor will wait for the external task to
succeed, at which point it will also succeed. However, by default it will
*not* fail if the external task fails, but will continue to check the status
until the sensor times out (thus giving you time to retry the external task
without also having to clear the sensor).
By default, the ExternalTaskSensor will not skip if the external task skips.
To change this, simply set ``skipped_states=[State.SKIPPED]``. Note that if
you are monitoring multiple tasks, and one enters error state and the other
enters a skipped state, then the external task will react to whichever one
it sees first. If both happen together, then the failed state takes priority.
It is possible to alter the default behavior by setting states which
cause the sensor to fail, e.g. by setting ``allowed_states=[State.FAILED]``
and ``failed_states=[State.SUCCESS]`` you will flip the behaviour to get a
sensor which goes green when the external task *fails* and immediately goes
red if the external task *succeeds*!
Note that ``soft_fail`` is respected when examining the failed_states. Thus
if the external task enters a failed state and ``soft_fail == True`` the
sensor will _skip_ rather than fail. As a result, setting ``soft_fail=True``
and ``failed_states=[State.SKIPPED]`` will result in the sensor skipping if
the external task skips. However, this is a contrived example - consider
using ``skipped_states`` if you would like this behaviour. Using
``skipped_states`` allows the sensor to skip if the target fails, but still
enter failed state on timeout. Using ``soft_fail == True`` as above will
cause the sensor to skip if the target fails, but also if it times out.
:param external_dag_id: The dag_id that contains the task you want to
wait for. (templated)
:param external_task_id: The task_id that contains the task you want to
wait for. (templated)
:param external_task_ids: The list of task_ids that you want to wait for. (templated)
If ``None`` (default value) the sensor waits for the DAG. Either
external_task_id or external_task_ids can be passed to
ExternalTaskSensor, but not both.
:param external_task_group_id: The task_group_id that contains the task you want to
wait for. (templated)
:param allowed_states: Iterable of allowed states, default is ``['success']``
:param skipped_states: Iterable of states to make this task mark as skipped, default is ``None``
:param failed_states: Iterable of failed or dis-allowed states, default is ``None``
:param execution_delta: time difference with the previous execution to
look at, the default is the same logical date as the current task or DAG.
For yesterday, use [positive!] datetime.timedelta(days=1). Either
execution_delta or execution_date_fn can be passed to
ExternalTaskSensor, but not both.
:param execution_date_fn: function that receives the current execution's logical date as the first
positional argument and optionally any number of keyword arguments available in the
context dictionary, and returns the desired logical dates to query.
Either execution_delta or execution_date_fn can be passed to ExternalTaskSensor,
but not both.
:param check_existence: Set to `True` to check if the external task exists (when
external_task_id is not None) or check if the DAG to wait for exists (when
external_task_id is None), and immediately cease waiting if the external task
or DAG does not exist (default value: False).
"""
[docs] template_fields = ["external_dag_id", "external_task_id", "external_task_ids", "external_task_group_id"]
def __init__(
self,
*,
external_dag_id: str,
external_task_id: str | None = None,
external_task_ids: Collection[str] | None = None,
external_task_group_id: str | None = None,
allowed_states: Iterable[str] | None = None,
skipped_states: Iterable[str] | None = None,
failed_states: Iterable[str] | None = None,
execution_delta: datetime.timedelta | None = None,
execution_date_fn: Callable | None = None,
check_existence: bool = False,
**kwargs,
):
super().__init__(**kwargs)
self.allowed_states = list(allowed_states) if allowed_states else [State.SUCCESS]
self.skipped_states = list(skipped_states) if skipped_states else []
self.failed_states = list(failed_states) if failed_states else []
total_states = set(self.allowed_states + self.skipped_states + self.failed_states)
if len(total_states) != len(self.allowed_states) + len(self.skipped_states) + len(self.failed_states):
raise AirflowException(
"Duplicate values provided across allowed_states, skipped_states and failed_states."
)
# convert [] to None
if not external_task_ids:
external_task_ids = None
# can't set both single task id and a list of task ids
if external_task_id is not None and external_task_ids is not None:
raise ValueError(
"Only one of `external_task_id` or `external_task_ids` may "
"be provided to ExternalTaskSensor; "
"use external_task_id or external_task_ids or external_task_group_id."
)
# since both not set, convert the single id to a 1-elt list - from here on, we only consider the list
if external_task_id is not None:
external_task_ids = [external_task_id]
if external_task_group_id is not None and external_task_ids is not None:
raise ValueError(
"Only one of `external_task_group_id` or `external_task_ids` may "
"be provided to ExternalTaskSensor; "
"use external_task_id or external_task_ids or external_task_group_id."
)
# check the requested states are all valid states for the target type, be it dag or task
if external_task_ids or external_task_group_id:
if not total_states <= set(State.task_states):
raise ValueError(
"Valid values for `allowed_states`, `skipped_states` and `failed_states` "
"when `external_task_id` or `external_task_ids` or `external_task_group_id` "
f"is not `None`: {State.task_states}"
)
elif not total_states <= set(State.dag_states):
raise ValueError(
"Valid values for `allowed_states`, `skipped_states` and `failed_states` "
f"when `external_task_id` and `external_task_group_id` is `None`: {State.dag_states}"
)
if execution_delta is not None and execution_date_fn is not None:
raise ValueError(
"Only one of `execution_delta` or `execution_date_fn` may "
"be provided to ExternalTaskSensor; not both."
)
self.execution_delta = execution_delta
self.execution_date_fn = execution_date_fn
self.external_dag_id = external_dag_id
self.external_task_id = external_task_id
self.external_task_ids = external_task_ids
self.external_task_group_id = external_task_group_id
self.check_existence = check_existence
self._has_checked_existence = False
def _get_dttm_filter(self, context):
if self.execution_delta:
dttm = context["logical_date"] - self.execution_delta
elif self.execution_date_fn:
dttm = self._handle_execution_date_fn(context=context)
else:
dttm = context["logical_date"]
return dttm if isinstance(dttm, list) else [dttm]
@provide_session
[docs] def poke(self, context: Context, session: Session = NEW_SESSION) -> bool:
# delay check to poke rather than __init__ in case it was supplied as XComArgs
if self.external_task_ids and len(self.external_task_ids) > len(set(self.external_task_ids)):
raise ValueError("Duplicate task_ids passed in external_task_ids parameter")
dttm_filter = self._get_dttm_filter(context)
serialized_dttm_filter = ",".join(dt.isoformat() for dt in dttm_filter)
if self.external_task_ids:
self.log.info(
"Poking for tasks %s in dag %s on %s ... ",
self.external_task_ids,
self.external_dag_id,
serialized_dttm_filter,
)
if self.external_task_group_id:
self.log.info(
"Poking for task_group '%s' in dag '%s' on %s ... ",
self.external_task_group_id,
self.external_dag_id,
serialized_dttm_filter,
)
if self.external_dag_id and not self.external_task_group_id and not self.external_task_ids:
self.log.info(
"Poking for DAG '%s' on %s ... ",
self.external_dag_id,
serialized_dttm_filter,
)
# In poke mode this will check dag existence only once
if self.check_existence and not self._has_checked_existence:
self._check_for_existence(session=session)
count_failed = -1
if self.failed_states:
count_failed = self.get_count(dttm_filter, session, self.failed_states)
# Fail if anything in the list has failed.
if count_failed > 0:
if self.external_task_ids:
if self.soft_fail:
raise AirflowSkipException(
f"Some of the external tasks {self.external_task_ids} "
f"in DAG {self.external_dag_id} failed. Skipping due to soft_fail."
)
raise AirflowException(
f"Some of the external tasks {self.external_task_ids} "
f"in DAG {self.external_dag_id} failed."
)
elif self.external_task_group_id:
if self.soft_fail:
raise AirflowSkipException(
f"The external task_group '{self.external_task_group_id}' "
f"in DAG '{self.external_dag_id}' failed. Skipping due to soft_fail."
)
raise AirflowException(
f"The external task_group '{self.external_task_group_id}' "
f"in DAG '{self.external_dag_id}' failed."
)
else:
if self.soft_fail:
raise AirflowSkipException(
f"The external DAG {self.external_dag_id} failed. Skipping due to soft_fail."
)
raise AirflowException(f"The external DAG {self.external_dag_id} failed.")
count_skipped = -1
if self.skipped_states:
count_skipped = self.get_count(dttm_filter, session, self.skipped_states)
# Skip if anything in the list has skipped. Note if we are checking multiple tasks and one skips
# before another errors, we'll skip first.
if count_skipped > 0:
if self.external_task_ids:
raise AirflowSkipException(
f"Some of the external tasks {self.external_task_ids} "
f"in DAG {self.external_dag_id} reached a state in our states-to-skip-on list. Skipping."
)
elif self.external_task_group_id:
raise AirflowSkipException(
f"The external task_group '{self.external_task_group_id}' "
f"in DAG {self.external_dag_id} reached a state in our states-to-skip-on list. Skipping."
)
else:
raise AirflowSkipException(
f"The external DAG {self.external_dag_id} reached a state in our states-to-skip-on list. "
"Skipping."
)
# only go green if every single task has reached an allowed state
count_allowed = self.get_count(dttm_filter, session, self.allowed_states)
return count_allowed == len(dttm_filter)
def _check_for_existence(self, session) -> None:
dag_to_wait = DagModel.get_current(self.external_dag_id, session)
if not dag_to_wait:
raise AirflowException(f"The external DAG {self.external_dag_id} does not exist.")
if not os.path.exists(correct_maybe_zipped(dag_to_wait.fileloc)):
raise AirflowException(f"The external DAG {self.external_dag_id} was deleted.")
if self.external_task_ids:
refreshed_dag_info = DagBag(dag_to_wait.fileloc).get_dag(self.external_dag_id)
for external_task_id in self.external_task_ids:
if not refreshed_dag_info.has_task(external_task_id):
raise AirflowException(
f"The external task {external_task_id} in "
f"DAG {self.external_dag_id} does not exist."
)
if self.external_task_group_id:
refreshed_dag_info = DagBag(dag_to_wait.fileloc).get_dag(self.external_dag_id)
if not refreshed_dag_info.has_task_group(self.external_task_group_id):
raise AirflowException(
f"The external task group '{self.external_task_group_id}' in "
f"DAG '{self.external_dag_id}' does not exist."
)
self._has_checked_existence = True
[docs] def get_count(self, dttm_filter, session, states) -> int:
"""
Get the count of records against dttm filter and states.
:param dttm_filter: date time filter for execution date
:param session: airflow session object
:param states: task or dag states
:return: count of record against the filters
"""
TI = TaskInstance
DR = DagRun
if not dttm_filter:
return 0
if self.external_task_ids:
count = (
self._count_query(TI, session, states, dttm_filter)
.filter(TI.task_id.in_(self.external_task_ids))
.scalar()
) / len(self.external_task_ids)
elif self.external_task_group_id:
external_task_group_task_ids = self.get_external_task_group_task_ids(session, dttm_filter)
if not external_task_group_task_ids:
count = 0
else:
count = (
self._count_query(TI, session, states, dttm_filter)
.filter(tuple_in_condition((TI.task_id, TI.map_index), external_task_group_task_ids))
.scalar()
) / len(external_task_group_task_ids)
else:
count = self._count_query(DR, session, states, dttm_filter).scalar()
return count
def _count_query(self, model, session, states, dttm_filter) -> Query:
query = session.query(func.count()).filter(
model.dag_id == self.external_dag_id,
model.state.in_(states),
model.execution_date.in_(dttm_filter),
)
return query
[docs] def get_external_task_group_task_ids(self, session, dttm_filter):
refreshed_dag_info = DagBag(read_dags_from_db=True).get_dag(self.external_dag_id, session)
task_group = refreshed_dag_info.task_group_dict.get(self.external_task_group_id)
if task_group:
group_tasks = session.query(TaskInstance).filter(
TaskInstance.dag_id == self.external_dag_id,
TaskInstance.task_id.in_(task.task_id for task in task_group),
TaskInstance.execution_date.in_(dttm_filter),
)
return [(t.task_id, t.map_index) for t in group_tasks]
# returning default task_id as group_id itself, this will avoid any failure in case of
# 'check_existence=False' and will fail on timeout
return [(self.external_task_group_id, -1)]
def _handle_execution_date_fn(self, context) -> Any:
"""
Handle backward compatibility.
This function is to handle backwards compatibility with how this operator was
previously where it only passes the execution date, but also allow for the newer
implementation to pass all context variables as keyword arguments, to allow
for more sophisticated returns of dates to return.
"""
from airflow.utils.operator_helpers import make_kwargs_callable
# Remove "logical_date" because it is already a mandatory positional argument
logical_date = context["logical_date"]
kwargs = {k: v for k, v in context.items() if k not in {"execution_date", "logical_date"}}
# Add "context" in the kwargs for backward compatibility (because context used to be
# an acceptable argument of execution_date_fn)
kwargs["context"] = context
if TYPE_CHECKING:
assert self.execution_date_fn is not None
kwargs_callable = make_kwargs_callable(self.execution_date_fn)
return kwargs_callable(logical_date, **kwargs)
[docs]class ExternalTaskMarker(EmptyOperator):
"""
Use this operator to indicate that a task on a different DAG depends on this task.
When this task is cleared with "Recursive" selected, Airflow will clear the task on
the other DAG and its downstream tasks recursively. Transitive dependencies are followed
until the recursion_depth is reached.
:param external_dag_id: The dag_id that contains the dependent task that needs to be cleared.
:param external_task_id: The task_id of the dependent task that needs to be cleared.
:param execution_date: The logical date of the dependent task execution that needs to be cleared.
:param recursion_depth: The maximum level of transitive dependencies allowed. Default is 10.
This is mostly used for preventing cyclic dependencies. It is fine to increase
this number if necessary. However, too many levels of transitive dependencies will make
it slower to clear tasks in the web UI.
"""
[docs] template_fields = ["external_dag_id", "external_task_id", "execution_date"]
# The _serialized_fields are lazily loaded when get_serialized_fields() method is called
__serialized_fields: frozenset[str] | None = None
def __init__(
self,
*,
external_dag_id: str,
external_task_id: str,
execution_date: str | datetime.datetime | None = "{{ logical_date.isoformat() }}",
recursion_depth: int = 10,
**kwargs,
):
super().__init__(**kwargs)
self.external_dag_id = external_dag_id
self.external_task_id = external_task_id
if isinstance(execution_date, datetime.datetime):
self.execution_date = execution_date.isoformat()
elif isinstance(execution_date, str):
self.execution_date = execution_date
else:
raise TypeError(
f"Expected str or datetime.datetime type for execution_date. Got {type(execution_date)}"
)
if recursion_depth <= 0:
raise ValueError("recursion_depth should be a positive integer")
self.recursion_depth = recursion_depth
@classmethod
[docs] def get_serialized_fields(cls):
"""Serialized ExternalTaskMarker contain exactly these fields + templated_fields ."""
if not cls.__serialized_fields:
cls.__serialized_fields = frozenset(super().get_serialized_fields() | {"recursion_depth"})
return cls.__serialized_fields
@attr.s(auto_attribs=True)
[docs]class ExternalTaskSensorLink(ExternalDagLink):
"""
This external link is deprecated.
Please use :class:`airflow.sensors.external_task.ExternalDagLink`.
"""
[docs] def __attrs_post_init__(self):
warnings.warn(
"This external link is deprecated. "
"Please use :class:`airflow.sensors.external_task.ExternalDagLink`.",
RemovedInAirflow3Warning,
stacklevel=2,
)
