# 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
import asyncio
from typing import Any, AsyncIterator
from airflow.providers.microsoft.azure.hooks.wasb import WasbAsyncHook
from airflow.triggers.base import BaseTrigger, TriggerEvent
[docs]class WasbBlobSensorTrigger(BaseTrigger):
"""
WasbBlobSensorTrigger is fired as deferred class with params to run the task in
trigger worker to check for existence of the given blob in the provided container.
:param container_name: name of the container in which the blob should be searched for
:param blob_name: name of the blob to check existence for
:param wasb_conn_id: the connection identifier for connecting to Azure WASB
:param poke_interval: polling period in seconds to check for the status
:param public_read: whether an anonymous public read access should be used. Default is False
"""
def __init__(
self,
container_name: str,
blob_name: str,
wasb_conn_id: str = "wasb_default",
public_read: bool = False,
poke_interval: float = 5.0,
):
super().__init__()
self.container_name = container_name
self.blob_name = blob_name
self.wasb_conn_id = wasb_conn_id
self.poke_interval = poke_interval
self.public_read = public_read
[docs] def serialize(self) -> tuple[str, dict[str, Any]]:
"""Serializes WasbBlobSensorTrigger arguments and classpath."""
return (
"airflow.providers.microsoft.azure.triggers.wasb.WasbBlobSensorTrigger",
{
"container_name": self.container_name,
"blob_name": self.blob_name,
"wasb_conn_id": self.wasb_conn_id,
"poke_interval": self.poke_interval,
"public_read": self.public_read,
},
)
[docs] async def run(self) -> AsyncIterator[TriggerEvent]:
"""Makes async connection to Azure WASB and polls for existence of the given blob name."""
blob_exists = False
hook = WasbAsyncHook(wasb_conn_id=self.wasb_conn_id, public_read=self.public_read)
try:
async with await hook.get_async_conn():
while not blob_exists:
blob_exists = await hook.check_for_blob_async(
container_name=self.container_name,
blob_name=self.blob_name,
)
if blob_exists:
message = f"Blob {self.blob_name} found in container {self.container_name}."
yield TriggerEvent({"status": "success", "message": message})
else:
message = (
f"Blob {self.blob_name} not available yet in container {self.container_name}."
f" Sleeping for {self.poke_interval} seconds"
)
self.log.info(message)
await asyncio.sleep(self.poke_interval)
except Exception as e:
yield TriggerEvent({"status": "error", "message": str(e)})
[docs]class WasbPrefixSensorTrigger(BaseTrigger):
"""
WasbPrefixSensorTrigger is fired as a deferred class with params to run the task in trigger.
It checks for the existence of a blob with the given prefix in the provided container.
:param container_name: name of the container in which the blob should be searched for
:param prefix: prefix of the blob to check existence for
:param include: specifies one or more additional datasets to include in the
response. Options include: ``snapshots``, ``metadata``, ``uncommittedblobs``,
``copy``, ``deleted``
:param delimiter: filters objects based on the delimiter (for e.g '.csv')
:param wasb_conn_id: the connection identifier for connecting to Azure WASB
:param poke_interval: polling period in seconds to check for the status
:param public_read: whether an anonymous public read access should be used. Default is False
"""
def __init__(
self,
container_name: str,
prefix: str,
include: list[str] | None = None,
delimiter: str = "/",
wasb_conn_id: str = "wasb_default",
public_read: bool = False,
poke_interval: float = 5.0,
):
super().__init__()
self.container_name = container_name
self.prefix = prefix
self.include = include
self.delimiter = delimiter
self.wasb_conn_id = wasb_conn_id
self.poke_interval = poke_interval
self.public_read = public_read
[docs] def serialize(self) -> tuple[str, dict[str, Any]]:
"""Serializes WasbPrefixSensorTrigger arguments and classpath."""
return (
"airflow.providers.microsoft.azure.triggers.wasb.WasbPrefixSensorTrigger",
{
"container_name": self.container_name,
"prefix": self.prefix,
"include": self.include,
"delimiter": self.delimiter,
"wasb_conn_id": self.wasb_conn_id,
"poke_interval": self.poke_interval,
"public_read": self.public_read,
},
)
[docs] async def run(self) -> AsyncIterator[TriggerEvent]:
"""Makes async connection to Azure WASB and polls for existence of a blob with given prefix."""
prefix_exists = False
hook = WasbAsyncHook(wasb_conn_id=self.wasb_conn_id, public_read=self.public_read)
try:
async with await hook.get_async_conn():
while not prefix_exists:
prefix_exists = await hook.check_for_prefix_async(
container_name=self.container_name,
prefix=self.prefix,
include=self.include,
delimiter=self.delimiter,
)
if prefix_exists:
message = f"Prefix {self.prefix} found in container {self.container_name}."
yield TriggerEvent({"status": "success", "message": message})
else:
message = (
f"Prefix {self.prefix} not available yet in container {self.container_name}."
f" Sleeping for {self.poke_interval} seconds"
)
self.log.info(message)
await asyncio.sleep(self.poke_interval)
except Exception as e:
yield TriggerEvent({"status": "error", "message": str(e)})
