airflow quicksight 源码
airflow quicksight 代码
文件路径:/airflow/providers/amazon/aws/hooks/quicksight.py
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# Licensed to the Apache Software Foundation (ASF) under one
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# 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
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# KIND, either express or implied. See the License for the
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# under the License.
from __future__ import annotations
import time
from botocore.exceptions import ClientError
from airflow import AirflowException
from airflow.compat.functools import cached_property
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.providers.amazon.aws.hooks.sts import StsHook
class QuickSightHook(AwsBaseHook):
"""
Interact with Amazon QuickSight.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
:class:`~airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
"""
NON_TERMINAL_STATES = {"INITIALIZED", "QUEUED", "RUNNING"}
FAILED_STATES = {"FAILED"}
def __init__(self, *args, **kwargs):
super().__init__(client_type="quicksight", *args, **kwargs)
@cached_property
def sts_hook(self):
return StsHook(aws_conn_id=self.aws_conn_id)
def create_ingestion(
self,
data_set_id: str,
ingestion_id: str,
ingestion_type: str,
wait_for_completion: bool = True,
check_interval: int = 30,
):
"""
Creates and starts a new SPICE ingestion for a dataset. Refreshes the SPICE datasets
:param data_set_id: ID of the dataset used in the ingestion.
:param ingestion_id: ID for the ingestion.
:param ingestion_type: Type of ingestion . "INCREMENTAL_REFRESH"|"FULL_REFRESH"
:param wait_for_completion: if the program should keep running until job finishes
:param check_interval: the time interval in seconds which the operator
will check the status of QuickSight Ingestion
:return: Returns descriptive information about the created data ingestion
having Ingestion ARN, HTTP status, ingestion ID and ingestion status.
:rtype: Dict
"""
self.log.info("Creating QuickSight Ingestion for data set id %s.", data_set_id)
quicksight_client = self.get_conn()
try:
aws_account_id = self.sts_hook.get_account_number()
create_ingestion_response = quicksight_client.create_ingestion(
DataSetId=data_set_id,
IngestionId=ingestion_id,
IngestionType=ingestion_type,
AwsAccountId=aws_account_id,
)
if wait_for_completion:
self.wait_for_state(
aws_account_id=aws_account_id,
data_set_id=data_set_id,
ingestion_id=ingestion_id,
target_state={"COMPLETED"},
check_interval=check_interval,
)
return create_ingestion_response
except Exception as general_error:
self.log.error("Failed to run Amazon QuickSight create_ingestion API, error: %s", general_error)
raise
def get_status(self, aws_account_id: str, data_set_id: str, ingestion_id: str):
"""
Get the current status of QuickSight Create Ingestion API.
:param aws_account_id: An AWS Account ID
:param data_set_id: QuickSight Data Set ID
:param ingestion_id: QuickSight Ingestion ID
:return: An QuickSight Ingestion Status
:rtype: str
"""
try:
describe_ingestion_response = self.get_conn().describe_ingestion(
AwsAccountId=aws_account_id, DataSetId=data_set_id, IngestionId=ingestion_id
)
return describe_ingestion_response["Ingestion"]["IngestionStatus"]
except KeyError:
raise AirflowException("Could not get status of the Amazon QuickSight Ingestion")
except ClientError:
raise AirflowException("AWS request failed, check logs for more info")
def wait_for_state(
self,
aws_account_id: str,
data_set_id: str,
ingestion_id: str,
target_state: set,
check_interval: int,
):
"""
Check status of a QuickSight Create Ingestion API
:param aws_account_id: An AWS Account ID
:param data_set_id: QuickSight Data Set ID
:param ingestion_id: QuickSight Ingestion ID
:param target_state: Describes the QuickSight Job's Target State
:param check_interval: the time interval in seconds which the operator
will check the status of QuickSight Ingestion
:return: response of describe_ingestion call after Ingestion is is done
"""
sec = 0
status = self.get_status(aws_account_id, data_set_id, ingestion_id)
while status in self.NON_TERMINAL_STATES and status != target_state:
self.log.info("Current status is %s", status)
time.sleep(check_interval)
sec += check_interval
if status in self.FAILED_STATES:
raise AirflowException("The Amazon QuickSight Ingestion failed!")
if status == "CANCELLED":
raise AirflowException("The Amazon QuickSight SPICE ingestion cancelled!")
status = self.get_status(aws_account_id, data_set_id, ingestion_id)
self.log.info("QuickSight Ingestion completed")
return status
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