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

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

    from airflow.utils.context import Context

[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 :param object_name: GCS path to save the csv file. Must be the full file path (ex. `path/to/file.csv`) :param gcp_conn_id: Airflow Google Cloud connection ID :param google_ads_conn_id: Airflow Google Ads connection ID :param gzip: Option to compress local file or file data for upload :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). :param api_version: Optional Google Ads API version to use. """
[docs] template_fields: Sequence[str] = ( "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: 'Context') -> 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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