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Add Looker PDT operators (#20882)
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alekseiloginov committed Mar 7, 2022
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63 changes: 63 additions & 0 deletions airflow/providers/google/cloud/example_dags/example_looker.py
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#
# 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.
"""
Example Airflow DAG that show how to use various Looker
operators to submit PDT materialization job and manage it.
"""

from datetime import datetime

from airflow import models
from airflow.providers.google.cloud.operators.looker import LookerStartPdtBuildOperator
from airflow.providers.google.cloud.sensors.looker import LookerCheckPdtBuildSensor

with models.DAG(
dag_id='example_gcp_looker',
schedule_interval=None,
start_date=datetime(2021, 1, 1),
catchup=False,
) as dag:
# [START cloud_looker_async_start_pdt_sensor]
start_pdt_task_async = LookerStartPdtBuildOperator(
task_id='start_pdt_task_async',
looker_conn_id='your_airflow_connection_for_looker',
model='your_lookml_model',
view='your_lookml_view',
asynchronous=True,
)

check_pdt_task_async_sensor = LookerCheckPdtBuildSensor(
task_id='check_pdt_task_async_sensor',
looker_conn_id='your_airflow_connection_for_looker',
materialization_id=start_pdt_task_async.output,
poke_interval=10,
)
# [END cloud_looker_async_start_pdt_sensor]

# [START how_to_cloud_looker_start_pdt_build_operator]
build_pdt_task = LookerStartPdtBuildOperator(
task_id='build_pdt_task',
looker_conn_id='your_airflow_connection_for_looker',
model='your_lookml_model',
view='your_lookml_view',
)
# [END how_to_cloud_looker_start_pdt_build_operator]

start_pdt_task_async >> check_pdt_task_async_sensor

build_pdt_task
258 changes: 258 additions & 0 deletions airflow/providers/google/cloud/hooks/looker.py
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#
# 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.
#
"""This module contains a Google Cloud Looker hook."""

import json
import time
from enum import Enum
from typing import Dict, Optional

from looker_sdk.rtl import api_settings, auth_session, requests_transport, serialize
from looker_sdk.sdk.api40 import methods as methods40
from packaging.version import parse as parse_version

from airflow.exceptions import AirflowException
from airflow.hooks.base import BaseHook
from airflow.models.connection import Connection
from airflow.version import version


class LookerHook(BaseHook):
"""Hook for Looker APIs."""

def __init__(
self,
looker_conn_id: str,
) -> None:
super().__init__()
self.looker_conn_id = looker_conn_id
# source is used to track origin of the requests
self.source = f'airflow:{version}'

def start_pdt_build(
self,
model: str,
view: str,
query_params: Optional[Dict] = None,
):
"""
Submits a PDT materialization job to Looker.
:param model: Required. The model of the PDT to start building.
:param view: Required. The view of the PDT to start building.
:param query_params: Optional. Additional materialization parameters.
"""
self.log.info("Submitting PDT materialization job. Model: '%s', view: '%s'.", model, view)
self.log.debug("PDT materialization job source: '%s'.", self.source)

sdk = self.get_looker_sdk()
looker_ver = sdk.versions().looker_release_version
if parse_version(looker_ver) < parse_version("22.2.0"):
raise AirflowException(f'This API requires Looker version 22.2+. Found: {looker_ver}.')

# unpack query_params dict into kwargs (if not None)
if query_params:
resp = sdk.start_pdt_build(model_name=model, view_name=view, source=self.source, **query_params)
else:
resp = sdk.start_pdt_build(model_name=model, view_name=view, source=self.source)

self.log.info("Start PDT build response: '%s'.", resp)

return resp

def check_pdt_build(
self,
materialization_id: str,
):
"""
Gets the PDT materialization job status from Looker.
:param materialization_id: Required. The materialization id to check status for.
"""
self.log.info("Requesting PDT materialization job status. Job id: %s.", materialization_id)

sdk = self.get_looker_sdk()
resp = sdk.check_pdt_build(materialization_id=materialization_id)

self.log.info("Check PDT build response: '%s'.", resp)
return resp

def pdt_build_status(
self,
materialization_id: str,
) -> Dict:
"""
Gets the PDT materialization job status.
:param materialization_id: Required. The materialization id to check status for.
"""
resp = self.check_pdt_build(materialization_id=materialization_id)

status_json = resp['resp_text']
status_dict = json.loads(status_json)

self.log.info(
"PDT materialization job id: %s. Status: '%s'.", materialization_id, status_dict['status']
)

return status_dict

def stop_pdt_build(
self,
materialization_id: str,
):
"""
Starts a PDT materialization job cancellation request.
:param materialization_id: Required. The materialization id to stop.
"""
self.log.info("Stopping PDT materialization. Job id: %s.", materialization_id)
self.log.debug("PDT materialization job source: '%s'.", self.source)

sdk = self.get_looker_sdk()
resp = sdk.stop_pdt_build(materialization_id=materialization_id, source=self.source)

self.log.info("Stop PDT build response: '%s'.", resp)
return resp

def wait_for_job(
self,
materialization_id: str,
wait_time: int = 10,
timeout: Optional[int] = None,
) -> None:
"""
Helper method which polls a PDT materialization job to check if it finishes.
:param materialization_id: Required. The materialization id to wait for.
:param wait_time: Optional. Number of seconds between checks.
:param timeout: Optional. How many seconds wait for job to be ready.
Used only if ``asynchronous`` is False.
"""
self.log.info('Waiting for PDT materialization job to complete. Job id: %s.', materialization_id)

status = None
start = time.monotonic()

while status not in (
JobStatus.DONE.value,
JobStatus.ERROR.value,
JobStatus.CANCELLED.value,
JobStatus.UNKNOWN.value,
):

if timeout and start + timeout < time.monotonic():
self.stop_pdt_build(materialization_id=materialization_id)
raise AirflowException(
f"Timeout: PDT materialization job is not ready after {timeout}s. "
f"Job id: {materialization_id}."
)

time.sleep(wait_time)

status_dict = self.pdt_build_status(materialization_id=materialization_id)
status = status_dict['status']

if status == JobStatus.ERROR.value:
msg = status_dict['message']
raise AirflowException(
f'PDT materialization job failed. Job id: {materialization_id}. Message:\n"{msg}"'
)
if status == JobStatus.CANCELLED.value:
raise AirflowException(f'PDT materialization job was cancelled. Job id: {materialization_id}.')
if status == JobStatus.UNKNOWN.value:
raise AirflowException(
f'PDT materialization job has unknown status. Job id: {materialization_id}.'
)

self.log.info('PDT materialization job completed successfully. Job id: %s.', materialization_id)

def get_looker_sdk(self):
"""Returns Looker SDK client for Looker API 4.0."""

conn = self.get_connection(self.looker_conn_id)
settings = LookerApiSettings(conn)

transport = requests_transport.RequestsTransport.configure(settings)
return methods40.Looker40SDK(
auth_session.AuthSession(settings, transport, serialize.deserialize40, "4.0"),
serialize.deserialize40,
serialize.serialize,
transport,
"4.0",
)


class LookerApiSettings(api_settings.ApiSettings):
"""Custom implementation of Looker SDK's `ApiSettings` class."""

def __init__(
self,
conn: Connection,
) -> None:
self.conn = conn # need to init before `read_config` is called in super
super().__init__()

def read_config(self):
"""
Overrides the default logic of getting connection settings. Fetches
the connection settings from Airflow's connection object.
"""

config = {}

if self.conn.host is None:
raise AirflowException(f'No `host` was supplied in connection: {self.conn.id}.')

if self.conn.port:
config["base_url"] = f"{self.conn.host}:{self.conn.port}" # port is optional
else:
config["base_url"] = self.conn.host

if self.conn.login:
config["client_id"] = self.conn.login
else:
raise AirflowException(f'No `login` was supplied in connection: {self.conn.id}.')

if self.conn.password:
config["client_secret"] = self.conn.password
else:
raise AirflowException(f'No `password` was supplied in connection: {self.conn.id}.')

extras = self.conn.extra_dejson # type: Dict

if 'verify_ssl' in extras:
config["verify_ssl"] = extras["verify_ssl"] # optional

if 'timeout' in extras:
config["timeout"] = extras["timeout"] # optional

return config


class JobStatus(Enum):
"""The job status string."""

QUEUED = "added"
PENDING = 'pending'
RUNNING = 'running'
CANCELLED = 'killed'
DONE = 'complete'
ERROR = 'error'
UNKNOWN = 'unknown'

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