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"""This module contains Google Ad to GCS operators."""
import csv
from tempfile import NamedTemporaryFile
from typing import Optional, Sequence, Union

from airflow.models import BaseOperator
from import GoogleAdsHook
from import GCSHook

[docs]class GoogleAdsListAccountsOperator(BaseOperator): """ Saves list of customers on GCS in form of a csv file. The resulting list of customers is based on your OAuth credentials. The request returns a list of all accounts that you are able to act upon directly given your current credentials. This will not necessarily include all accounts within the account hierarchy; rather, it will only include accounts where your authenticated user has been added with admin or other rights in the account. .. seealso:: .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GoogleAdsListAccountsOperator` :param bucket: The GCS bucket to upload to :type bucket: str :param object_name: GCS path to save the csv file. Must be the full file path (ex. `path/to/file.csv`) :type object_name: str :param gcp_conn_id: Airflow Google Cloud connection ID :type gcp_conn_id: str :param google_ads_conn_id: Airflow Google Ads connection ID :type google_ads_conn_id: str :param gzip: Option to compress local file or file data for upload :type gzip: bool :param impersonation_chain: Optional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated). :type impersonation_chain: Union[str, Sequence[str]] :param api_version: Optional Google Ads API version to use. :type api_version: Optional[str] """
[docs] template_fields = ( "bucket", "object_name", "impersonation_chain",
) def __init__( self, *, bucket: str, object_name: str, gcp_conn_id: str = "google_cloud_default", google_ads_conn_id: str = "google_ads_default", gzip: bool = False, impersonation_chain: Optional[Union[str, Sequence[str]]] = None, api_version: Optional[str] = None, **kwargs, ) -> None: super().__init__(**kwargs) self.bucket = bucket self.object_name = object_name self.gcp_conn_id = gcp_conn_id self.google_ads_conn_id = google_ads_conn_id self.gzip = gzip self.impersonation_chain = impersonation_chain self.api_version = api_version
[docs] def execute(self, context: dict) -> str: uri = f"gs://{self.bucket}/{self.object_name}" ads_hook = GoogleAdsHook( gcp_conn_id=self.gcp_conn_id, google_ads_conn_id=self.google_ads_conn_id, api_version=self.api_version, ) gcs_hook = GCSHook(gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain) with NamedTemporaryFile("w+") as temp_file: # Download accounts accounts = ads_hook.list_accessible_customers() writer = csv.writer(temp_file) writer.writerows(accounts) temp_file.flush() # Upload to GCS gcs_hook.upload( bucket_name=self.bucket, object_name=self.object_name, gzip=self.gzip, )"Uploaded %s to %s", len(accounts), uri) return uri

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