Source code for airflow.utils.dag_parsing_context

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from __future__ import annotations

import os
from contextlib import contextmanager
from typing import NamedTuple

[docs]class AirflowParsingContext(NamedTuple): """ Context of parsing for the DAG. If these values are not None, they will contain the specific DAG and Task ID that Airflow is requesting to execute. You can use these for optimizing dynamically generated DAG files. """
[docs] dag_id: str | None
[docs] task_id: str | None
_AIRFLOW_PARSING_CONTEXT_DAG_ID = "_AIRFLOW_PARSING_CONTEXT_DAG_ID" _AIRFLOW_PARSING_CONTEXT_TASK_ID = "_AIRFLOW_PARSING_CONTEXT_TASK_ID" @contextmanager def _airflow_parsing_context_manager(dag_id: str | None = None, task_id: str | None = None): old_dag_id = os.environ.get(_AIRFLOW_PARSING_CONTEXT_DAG_ID) old_task_id = os.environ.get(_AIRFLOW_PARSING_CONTEXT_TASK_ID) if dag_id is not None: os.environ[_AIRFLOW_PARSING_CONTEXT_DAG_ID] = dag_id if task_id is not None: os.environ[_AIRFLOW_PARSING_CONTEXT_TASK_ID] = task_id yield if old_task_id is not None: os.environ[_AIRFLOW_PARSING_CONTEXT_TASK_ID] = old_task_id if old_dag_id is not None: os.environ[_AIRFLOW_PARSING_CONTEXT_DAG_ID] = old_dag_id
[docs]def get_parsing_context() -> AirflowParsingContext: """Return the current (DAG) parsing context info""" return AirflowParsingContext( dag_id=os.environ.get(_AIRFLOW_PARSING_CONTEXT_DAG_ID), task_id=os.environ.get(_AIRFLOW_PARSING_CONTEXT_TASK_ID),

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