blob: 2a88a7829a83498593df7cf8cb16dee55b3944df [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING
from airflow.models.dag import DAG
from airflow.operators.empty import EmptyOperator
from airflow.utils.dag_parsing_context import (
_AIRFLOW_PARSING_CONTEXT_DAG_ID,
_AIRFLOW_PARSING_CONTEXT_TASK_ID,
)
from airflow.utils.timezone import datetime
if TYPE_CHECKING:
from airflow.utils.context import Context
class DagWithParsingContext(EmptyOperator):
def execute(self, context: Context):
import os
parsing_context_file = Path("/tmp/airflow_parsing_context")
self.log.info("Executing")
# signal to the test that we've started
parsing_context = (
f"{_AIRFLOW_PARSING_CONTEXT_DAG_ID}={os.environ.get(_AIRFLOW_PARSING_CONTEXT_DAG_ID)}\n"
f"{_AIRFLOW_PARSING_CONTEXT_TASK_ID}={os.environ.get(_AIRFLOW_PARSING_CONTEXT_TASK_ID)}\n"
)
parsing_context_file.write_text(parsing_context)
self.log.info("Executed")
dag1 = DAG(dag_id="test_parsing_context", start_date=datetime(2015, 1, 1))
dag1_task1 = DagWithParsingContext(task_id="task1", dag=dag1, owner="airflow")