Source code for airflow.providers.google.cloud.hooks.looker

#
# 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."""

from __future__ import annotations

import json
import time
from enum import Enum
from typing import TYPE_CHECKING

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.version import version

if TYPE_CHECKING:
    from airflow.models.connection import Connection


[docs]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}"
[docs] def start_pdt_build( self, model: str, view: str, query_params: dict | None = None, ): """ Submit 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
[docs] def check_pdt_build( self, materialization_id: str, ): """ Get 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
[docs] def pdt_build_status( self, materialization_id: str, ) -> dict: """ Get 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
[docs] def stop_pdt_build( self, materialization_id: str, ): """ Start 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
[docs] def wait_for_job( self, materialization_id: str, wait_time: int = 10, timeout: int | None = None, ) -> None: """ Poll 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)
[docs] def get_looker_sdk(self): """Return 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.serialize40, transport, "4.0", )
[docs]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__()
[docs] def read_config(self): """ Fetch the connection settings from Airflow's connection object. Overrides the default logic of getting connection settings. """ 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: dict = self.conn.extra_dejson if "verify_ssl" in extras: config["verify_ssl"] = extras["verify_ssl"] # optional if "timeout" in extras: config["timeout"] = extras["timeout"] # optional return config
[docs]class JobStatus(Enum): """The job status string."""
[docs] QUEUED = "added"
[docs] PENDING = "pending"
[docs] RUNNING = "running"
[docs] CANCELLED = "killed"
[docs] DONE = "complete"
[docs] ERROR = "error"
[docs] UNKNOWN = "unknown"

Was this entry helpful?