Source code for airflow.contrib.hooks.gcp_function_hook

# -*- coding: utf-8 -*-
#
# 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.

import time
import requests
from googleapiclient.discovery import build

from airflow import AirflowException
from airflow.contrib.hooks.gcp_api_base_hook import GoogleCloudBaseHook

# Time to sleep between active checks of the operation results
[docs]TIME_TO_SLEEP_IN_SECONDS = 1
# noinspection PyAbstractClass
[docs]class GcfHook(GoogleCloudBaseHook): """ Hook for the Google Cloud Functions APIs. All the methods in the hook where project_id is used must be called with keyword arguments rather than positional. """
[docs] _conn = None
def __init__(self, api_version, gcp_conn_id='google_cloud_default', delegate_to=None): super(GcfHook, self).__init__(gcp_conn_id, delegate_to) self.api_version = api_version self.num_retries = self._get_field('num_retries', 5) @staticmethod
[docs] def _full_location(project_id, location): """ Retrieve full location of the function in the form of projects/<GCP_PROJECT_ID>/locations/<GCP_LOCATION> :param project_id: The Google Cloud Project project_id where the function belongs. :type project_id: str :param location: The location where the function is created. :type location: str :return: """ return 'projects/{}/locations/{}'.format(project_id, location)
[docs] def get_conn(self): """ Retrieves the connection to Cloud Functions. :return: Google Cloud Function services object. :rtype: dict """ if not self._conn: http_authorized = self._authorize() self._conn = build('cloudfunctions', self.api_version, http=http_authorized, cache_discovery=False) return self._conn
[docs] def get_function(self, name): """ Returns the Cloud Function with the given name. :param name: Name of the function. :type name: str :return: A Cloud Functions object representing the function. :rtype: dict """ return self.get_conn().projects().locations().functions().get( name=name).execute(num_retries=self.num_retries)
@GoogleCloudBaseHook.fallback_to_default_project_id
[docs] def create_new_function(self, location, body, project_id=None): """ Creates a new function in Cloud Function in the location specified in the body. :param location: The location of the function. :type location: str :param body: The body required by the Cloud Functions insert API. :type body: dict :param project_id: Optional, Google Cloud Project project_id where the function belongs. If set to None or missing, the default project_id from the GCP connection is used. :type project_id: str :return: None """ response = self.get_conn().projects().locations().functions().create( location=self._full_location(project_id, location), body=body ).execute(num_retries=self.num_retries) operation_name = response["name"] self._wait_for_operation_to_complete(operation_name=operation_name)
[docs] def update_function(self, name, body, update_mask): """ Updates Cloud Functions according to the specified update mask. :param name: The name of the function. :type name: str :param body: The body required by the cloud function patch API. :type body: dict :param update_mask: The update mask - array of fields that should be patched. :type update_mask: [str] :return: None """ response = self.get_conn().projects().locations().functions().patch( updateMask=",".join(update_mask), name=name, body=body ).execute(num_retries=self.num_retries) operation_name = response["name"] self._wait_for_operation_to_complete(operation_name=operation_name)
@GoogleCloudBaseHook.fallback_to_default_project_id
[docs] def upload_function_zip(self, location, zip_path, project_id=None): """ Uploads zip file with sources. :param location: The location where the function is created. :type location: str :param zip_path: The path of the valid .zip file to upload. :type zip_path: str :param project_id: Optional, Google Cloud Project project_id where the function belongs. If set to None or missing, the default project_id from the GCP connection is used. :type project_id: str :return: The upload URL that was returned by generateUploadUrl method. """ response = self.get_conn().projects().locations().functions().generateUploadUrl( parent=self._full_location(project_id, location) ).execute(num_retries=self.num_retries) upload_url = response.get('uploadUrl') with open(zip_path, 'rb') as fp: requests.put( url=upload_url, data=fp, # Those two headers needs to be specified according to: # https://cloud.google.com/functions/docs/reference/rest/v1/projects.locations.functions/generateUploadUrl # nopep8 headers={ 'Content-type': 'application/zip', 'x-goog-content-length-range': '0,104857600', } ) return upload_url
[docs] def delete_function(self, name): """ Deletes the specified Cloud Function. :param name: The name of the function. :type name: str :return: None """ response = self.get_conn().projects().locations().functions().delete( name=name).execute(num_retries=self.num_retries) operation_name = response["name"] self._wait_for_operation_to_complete(operation_name=operation_name)
[docs] def _wait_for_operation_to_complete(self, operation_name): """ Waits for the named operation to complete - checks status of the asynchronous call. :param operation_name: The name of the operation. :type operation_name: str :return: The response returned by the operation. :rtype: dict :exception: AirflowException in case error is returned. """ service = self.get_conn() while True: operation_response = service.operations().get( name=operation_name, ).execute(num_retries=self.num_retries) if operation_response.get("done"): response = operation_response.get("response") error = operation_response.get("error") # Note, according to documentation always either response or error is # set when "done" == True if error: raise AirflowException(str(error)) return response time.sleep(TIME_TO_SLEEP_IN_SECONDS)