Source code for airflow.contrib.operators.gcp_function_operator

# -*- 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
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
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# under the License.
import re

from googleapiclient.errors import HttpError

from airflow import AirflowException
from airflow.contrib.utils.gcp_field_validator import GcpBodyFieldValidator, \
from airflow.version import version
from airflow.models import BaseOperator
from airflow.contrib.hooks.gcp_function_hook import GcfHook
from airflow.utils.decorators import apply_defaults

def _validate_available_memory_in_mb(value):
    if int(value) <= 0:
        raise GcpFieldValidationException("The available memory has to be greater than 0")

def _validate_max_instances(value):
    if int(value) <= 0:
        raise GcpFieldValidationException(
            "The max instances parameter has to be greater than 0")

    dict(name="name", regexp="^.+$"),
    dict(name="description", regexp="^.+$", optional=True),
    dict(name="entryPoint", regexp=r'^.+$', optional=True),
    dict(name="runtime", regexp=r'^.+$', optional=True),
    dict(name="timeout", regexp=r'^.+$', optional=True),
    dict(name="availableMemoryMb", custom_validation=_validate_available_memory_in_mb,
    dict(name="labels", optional=True),
    dict(name="environmentVariables", optional=True),
    dict(name="network", regexp=r'^.+$', optional=True),
    dict(name="maxInstances", optional=True, custom_validation=_validate_max_instances),

    dict(name="source_code", type="union", fields=[
        dict(name="sourceArchiveUrl", regexp=r'^.+$'),
        dict(name="sourceRepositoryUrl", regexp=r'^.+$', api_version='v1beta2'),
        dict(name="sourceRepository", type="dict", fields=[
            dict(name="url", regexp=r'^.+$')

    dict(name="trigger", type="union", fields=[
        dict(name="httpsTrigger", type="dict", fields=[
            # This dict should be empty at input (url is added at output)
        dict(name="eventTrigger", type="dict", fields=[
            dict(name="eventType", regexp=r'^.+$'),
            dict(name="resource", regexp=r'^.+$'),
            dict(name="service", regexp=r'^.+$', optional=True),
            dict(name="failurePolicy", type="dict", optional=True, fields=[
                dict(name="retry", type="dict", optional=True)

[docs]class GcfFunctionDeployOperator(BaseOperator): """ Creates a function in Google Cloud Functions. If a function with this name already exists, it will be updated. :param location: Google Cloud Platform region where the function should be created. :type location: str :param body: Body of the Cloud Functions definition. The body must be a Cloud Functions dictionary as described in: . Different API versions require different variants of the Cloud Functions dictionary. :type body: dict or :param project_id: (Optional) Google Cloud Platform project ID where the function should be created. :type project_id: str :param gcp_conn_id: (Optional) The connection ID used to connect to Google Cloud Platform - default 'google_cloud_default'. :type gcp_conn_id: str :param api_version: (Optional) API version used (for example v1 - default - or v1beta1). :type api_version: str :param zip_path: Path to zip file containing source code of the function. If the path is set, the sourceUploadUrl should not be specified in the body or it should be empty. Then the zip file will be uploaded using the upload URL generated via generateUploadUrl from the Cloud Functions API. :type zip_path: str :param validate_body: If set to False, body validation is not performed. :type validate_body: bool """ # [START gcf_function_deploy_template_fields] template_fields = ('project_id', 'location', 'gcp_conn_id', 'api_version') # [END gcf_function_deploy_template_fields] @apply_defaults def __init__(self, location, body, project_id=None, gcp_conn_id='google_cloud_default', api_version='v1', zip_path=None, validate_body=True, *args, **kwargs): self.project_id = project_id self.location = location self.body = body self.gcp_conn_id = gcp_conn_id self.api_version = api_version self.zip_path = zip_path self.zip_path_preprocessor = ZipPathPreprocessor(body, zip_path) self._field_validator = None if validate_body: self._field_validator = GcpBodyFieldValidator(CLOUD_FUNCTION_VALIDATION, api_version=api_version) self._hook = GcfHook(gcp_conn_id=self.gcp_conn_id, api_version=self.api_version) self._validate_inputs() super(GcfFunctionDeployOperator, self).__init__(*args, **kwargs) def _validate_inputs(self): if not self.location: raise AirflowException("The required parameter 'location' is missing") if not self.body: raise AirflowException("The required parameter 'body' is missing") self.zip_path_preprocessor.preprocess_body() def _validate_all_body_fields(self): if self._field_validator: self._field_validator.validate(self.body) def _create_new_function(self): self._hook.create_new_function( project_id=self.project_id, location=self.location, body=self.body) def _update_function(self): self._hook.update_function(self.body['name'], self.body, self.body.keys()) def _check_if_function_exists(self): name = self.body.get('name') if not name: raise GcpFieldValidationException("The 'name' field should be present in " "body: '{}'.".format(self.body)) try: self._hook.get_function(name) except HttpError as e: status = e.resp.status if status == 404: return False raise e return True def _upload_source_code(self): return self._hook.upload_function_zip(project_id=self.project_id, location=self.location, zip_path=self.zip_path) def _set_airflow_version_label(self): if 'labels' not in self.body.keys(): self.body['labels'] = {} self.body['labels'].update( {'airflow-version': 'v' + version.replace('.', '-').replace('+', '-')}) def execute(self, context): if self.zip_path_preprocessor.should_upload_function(): self.body[GCF_SOURCE_UPLOAD_URL] = self._upload_source_code() self._validate_all_body_fields() self._set_airflow_version_label() if not self._check_if_function_exists(): self._create_new_function() else: self._update_function()
GCF_SOURCE_ARCHIVE_URL = 'sourceArchiveUrl' GCF_SOURCE_UPLOAD_URL = 'sourceUploadUrl' SOURCE_REPOSITORY = 'sourceRepository' GCF_ZIP_PATH = 'zip_path' class ZipPathPreprocessor: """ Pre-processes zip path parameter. Responsible for checking if the zip path parameter is correctly specified in relation with source_code body fields. Non empty zip path parameter is special because it is mutually exclusive with sourceArchiveUrl and sourceRepository body fields. It is also mutually exclusive with non-empty sourceUploadUrl. The pre-process modifies sourceUploadUrl body field in special way when zip_path is not empty. An extra step is run when execute method is called and sourceUploadUrl field value is set in the body with the value returned by generateUploadUrl Cloud Function API method. :param body: Body passed to the create/update method calls. :type body: dict :param zip_path: path to the zip file containing source code. :type body: dict """ upload_function = None def __init__(self, body, zip_path): self.body = body self.zip_path = zip_path @staticmethod def _is_present_and_empty(dictionary, field): return field in dictionary and not dictionary[field] def _verify_upload_url_and_no_zip_path(self): if self._is_present_and_empty(self.body, GCF_SOURCE_UPLOAD_URL): if not self.zip_path: raise AirflowException( "Parameter '{}' is empty in the body and argument '{}' " "is missing or empty. You need to have non empty '{}' " "when '{}' is present and empty.". format(GCF_SOURCE_UPLOAD_URL, GCF_ZIP_PATH, GCF_ZIP_PATH, GCF_SOURCE_UPLOAD_URL)) def _verify_upload_url_and_zip_path(self): if GCF_SOURCE_UPLOAD_URL in self.body and self.zip_path: if not self.body[GCF_SOURCE_UPLOAD_URL]: self.upload_function = True else: raise AirflowException("Only one of '{}' in body or '{}' argument " "allowed. Found both." .format(GCF_SOURCE_UPLOAD_URL, GCF_ZIP_PATH)) def _verify_archive_url_and_zip_path(self): if GCF_SOURCE_ARCHIVE_URL in self.body and self.zip_path: raise AirflowException("Only one of '{}' in body or '{}' argument " "allowed. Found both." .format(GCF_SOURCE_ARCHIVE_URL, GCF_ZIP_PATH)) def should_upload_function(self): if self.upload_function is None: raise AirflowException('validate() method has to be invoked before ' 'should_upload_function') return self.upload_function def preprocess_body(self): self._verify_archive_url_and_zip_path() self._verify_upload_url_and_zip_path() self._verify_upload_url_and_no_zip_path() if self.upload_function is None: self.upload_function = False FUNCTION_NAME_PATTERN = '^projects/[^/]+/locations/[^/]+/functions/[^/]+$' FUNCTION_NAME_COMPILED_PATTERN = re.compile(FUNCTION_NAME_PATTERN)
[docs]class GcfFunctionDeleteOperator(BaseOperator): """ Deletes the specified function from Google Cloud Functions. :param name: A fully-qualified function name, matching the pattern: `^projects/[^/]+/locations/[^/]+/functions/[^/]+$` :type name: str :param gcp_conn_id: The connection ID to use to connect to Google Cloud Platform. :type gcp_conn_id: str :param api_version: API version used (for example v1 or v1beta1). :type api_version: str """ # [START gcf_function_delete_template_fields] template_fields = ('name', 'gcp_conn_id', 'api_version') # [END gcf_function_delete_template_fields] @apply_defaults def __init__(self, name, gcp_conn_id='google_cloud_default', api_version='v1', *args, **kwargs): = name self.gcp_conn_id = gcp_conn_id self.api_version = api_version self._validate_inputs() self.hook = GcfHook(gcp_conn_id=self.gcp_conn_id, api_version=self.api_version) super(GcfFunctionDeleteOperator, self).__init__(*args, **kwargs) def _validate_inputs(self): if not raise AttributeError('Empty parameter: name') else: pattern = FUNCTION_NAME_COMPILED_PATTERN if not pattern.match( raise AttributeError( 'Parameter name must match pattern: {}'.format(FUNCTION_NAME_PATTERN)) def execute(self, context): try: return self.hook.delete_function( except HttpError as e: status = e.resp.status if status == 404:'The function does not exist in this project') else: self.log.error('An error occurred. Exiting.') raise e