Source code for airflow.models.xcom_arg

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from typing import TYPE_CHECKING, Any, Iterator, List, Optional, Sequence, Union

from airflow.exceptions import AirflowException
from airflow.models.abstractoperator import AbstractOperator
from airflow.models.taskmixin import DAGNode, DependencyMixin
from airflow.models.xcom import XCOM_RETURN_KEY
from airflow.utils.context import Context
from airflow.utils.edgemodifier import EdgeModifier
from airflow.utils.session import NEW_SESSION, provide_session
from airflow.utils.types import NOTSET

    from sqlalchemy.orm import Session

    from airflow.models.operator import Operator

[docs]class XComArg(DependencyMixin): """ Class that represents a XCom push from a previous operator. Defaults to "return_value" as only key. Current implementation supports xcomarg >> op xcomarg << op op >> xcomarg (by BaseOperator code) op << xcomarg (by BaseOperator code) **Example**: The moment you get a result from any operator (decorated or regular) you can :: any_op = AnyOperator() xcomarg = XComArg(any_op) # or equivalently xcomarg = any_op.output my_op = MyOperator() my_op >> xcomarg This object can be used in legacy Operators via Jinja. **Example**: You can make this result to be part of any generated string :: any_op = AnyOperator() xcomarg = any_op.output op1 = MyOperator(my_text_message=f"the value is {xcomarg}") op2 = MyOperator(my_text_message=f"the value is {xcomarg['topic']}") :param operator: operator to which the XComArg belongs to :param key: key value which is used for xcom_pull (key in the XCom table) """ def __init__(self, operator: "Operator", key: str = XCOM_RETURN_KEY): self.operator = operator self.key = key
[docs] def __eq__(self, other): return self.operator == other.operator and self.key == other.key
[docs] def __getitem__(self, item: str) -> "XComArg": """Implements xcomresult['some_result_key']""" if not isinstance(item, str): raise ValueError(f"XComArg only supports str lookup, received {type(item).__name__}") return XComArg(operator=self.operator, key=item)
[docs] def __iter__(self): """Override iterable protocol to raise error explicitly. The default ``__iter__`` implementation in Python calls ``__getitem__`` with 0, 1, 2, etc. until it hits an ``IndexError``. This does not work well with our custom ``__getitem__`` implementation, and results in poor DAG-writing experience since a misplaced ``*`` expansion would create an infinite loop consuming the entire DAG parser. This override catches the error eagerly, so an incorrectly implemented DAG fails fast and avoids wasting resources on nonsensical iterating. """ raise TypeError(f"{self.__class__.__name__!r} object is not iterable")
[docs] def __str__(self): """ Backward compatibility for old-style jinja used in Airflow Operators **Example**: to use XComArg at BashOperator:: BashOperator(cmd=f"... { xcomarg } ...") :return: """ xcom_pull_kwargs = [ f"task_ids='{self.operator.task_id}'", f"dag_id='{self.operator.dag.dag_id}'", ] if self.key is not None: xcom_pull_kwargs.append(f"key='{self.key}'") xcom_pull_kwargs = ", ".join(xcom_pull_kwargs) # {{{{ are required for escape {{ in f-string xcom_pull = f"{{{{ task_instance.xcom_pull({xcom_pull_kwargs}) }}}}" return xcom_pull
[docs] def roots(self) -> List[DAGNode]: """Required by TaskMixin""" return [self.operator]
[docs] def leaves(self) -> List[DAGNode]: """Required by TaskMixin""" return [self.operator]
[docs] def set_upstream( self, task_or_task_list: Union[DependencyMixin, Sequence[DependencyMixin]], edge_modifier: Optional[EdgeModifier] = None, ): """Proxy to underlying operator set_upstream method. Required by TaskMixin.""" self.operator.set_upstream(task_or_task_list, edge_modifier)
[docs] def set_downstream( self, task_or_task_list: Union[DependencyMixin, Sequence[DependencyMixin]], edge_modifier: Optional[EdgeModifier] = None, ): """Proxy to underlying operator set_downstream method. Required by TaskMixin.""" self.operator.set_downstream(task_or_task_list, edge_modifier)
[docs] def resolve(self, context: Context, session: "Session" = NEW_SESSION) -> Any: """ Pull XCom value for the existing arg. This method is run during ``op.execute()`` in respectable context. """ result = context["ti"].xcom_pull( task_ids=self.operator.task_id, key=str(self.key), default=NOTSET, session=session ) if result is NOTSET: raise AirflowException( f'XComArg result from {self.operator.task_id} at {context["ti"].dag_id} ' f'with key="{self.key}" is not found!' ) return result
[docs] def iter_xcom_args(arg: Any) -> Iterator["XComArg"]: """Return XComArg instances in an arbitrary value. This recursively traverse ``arg`` and look for XComArg instances in any collection objects, and instances with ``template_fields`` set. """ if isinstance(arg, XComArg): yield arg elif isinstance(arg, (tuple, set, list)): for elem in arg: yield from XComArg.iter_xcom_args(elem) elif isinstance(arg, dict): for elem in arg.values(): yield from XComArg.iter_xcom_args(elem) elif isinstance(arg, AbstractOperator): for elem in arg.template_fields: yield from XComArg.iter_xcom_args(elem)
[docs] def apply_upstream_relationship(op: "Operator", arg: Any): """Set dependency for XComArgs. This looks for XComArg objects in ``arg`` "deeply" (looking inside collections objects and classes decorated with ``template_fields``), and sets the relationship to ``op`` on any found. """ for ref in XComArg.iter_xcom_args(arg): op.set_upstream(ref.operator)

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