airflow data_factory 源码
airflow data_factory 代码
文件路径：/airflow/providers/microsoft/azure/sensors/data_factory.py
# 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 typing import TYPE_CHECKING, Sequence
from airflow.providers.microsoft.azure.hooks.data_factory import (
AzureDataFactoryHook,
AzureDataFactoryPipelineRunException,
AzureDataFactoryPipelineRunStatus,
)
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
class AzureDataFactoryPipelineRunStatusSensor(BaseSensorOperator):
"""
Checks the status of a pipeline run.
:param azure_data_factory_conn_id: The connection identifier for connecting to Azure Data Factory.
:param run_id: The pipeline run identifier.
:param resource_group_name: The resource group name.
:param factory_name: The data factory name.
"""
template_fields: Sequence[str] = (
"azure_data_factory_conn_id",
"resource_group_name",
"factory_name",
"run_id",
)
ui_color = "#50e6ff"
def __init__(
self,
*,
run_id: str,
azure_data_factory_conn_id: str = AzureDataFactoryHook.default_conn_name,
resource_group_name: str | None = None,
factory_name: str | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.azure_data_factory_conn_id = azure_data_factory_conn_id
self.run_id = run_id
self.resource_group_name = resource_group_name
self.factory_name = factory_name
def poke(self, context: Context) -> bool:
self.hook = AzureDataFactoryHook(azure_data_factory_conn_id=self.azure_data_factory_conn_id)
pipeline_run_status = self.hook.get_pipeline_run_status(
run_id=self.run_id,
resource_group_name=self.resource_group_name,
factory_name=self.factory_name,
)
if pipeline_run_status == AzureDataFactoryPipelineRunStatus.FAILED:
raise AzureDataFactoryPipelineRunException(f"Pipeline run {self.run_id} has failed.")
if pipeline_run_status == AzureDataFactoryPipelineRunStatus.CANCELLED:
raise AzureDataFactoryPipelineRunException(f"Pipeline run {self.run_id} has been cancelled.")
return pipeline_run_status == AzureDataFactoryPipelineRunStatus.SUCCEEDED
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