Source code for airflow.providers.amazon.aws.transfers.google_api_to_s3

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"""This module allows you to transfer data from any Google API endpoint into a S3 Bucket."""

from __future__ import annotations

import json
import sys
from typing import TYPE_CHECKING, Sequence

from airflow.models import BaseOperator
from airflow.models.xcom import MAX_XCOM_SIZE, XCOM_RETURN_KEY
from airflow.providers.amazon.aws.hooks.s3 import S3Hook
from airflow.providers.google.common.hooks.discovery_api import GoogleDiscoveryApiHook

if TYPE_CHECKING:
    from airflow.models import TaskInstance
    from airflow.serialization.pydantic.taskinstance import TaskInstancePydantic
    from airflow.utils.context import Context


[docs]class GoogleApiToS3Operator(BaseOperator): """ Basic class for transferring data from a Google API endpoint into a S3 Bucket. This discovery-based operator use :class:`~airflow.providers.google.common.hooks.discovery_api.GoogleDiscoveryApiHook` to communicate with Google Services via the `Google API Python Client <https://github.com/googleapis/google-api-python-client>`__. Please note that this library is in maintenance mode hence it won't fully support Google Cloud in the future. Therefore it is recommended that you use the custom Google Cloud Service Operators for working with the Google Cloud Platform. .. seealso:: For more information on how to use this operator, take a look at the guide: :ref:`howto/operator:GoogleApiToS3Operator` :param google_api_service_name: The specific API service that is being requested. :param google_api_service_version: The version of the API that is being requested. :param google_api_endpoint_path: The client libraries path to the api call's executing method. For example: 'analyticsreporting.reports.batchGet' .. note:: See https://developers.google.com/apis-explorer for more information on which methods are available. :param google_api_endpoint_params: The params to control the corresponding endpoint result. :param s3_destination_key: The url where to put the data retrieved from the endpoint in S3. .. note See https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-bucket-intro.html for valid url formats. :param google_api_response_via_xcom: Can be set to expose the google api response to xcom. :param google_api_endpoint_params_via_xcom: If set to a value this value will be used as a key for pulling from xcom and updating the google api endpoint params. :param google_api_endpoint_params_via_xcom_task_ids: Task ids to filter xcom by. :param google_api_pagination: If set to True Pagination will be enabled for this request to retrieve all data. .. note:: This means the response will be a list of responses. :param google_api_num_retries: Define the number of retries for the Google API requests being made if it fails. :param s3_overwrite: Specifies whether the s3 file will be overwritten if exists. :param gcp_conn_id: The connection ID to use when fetching connection info. :param aws_conn_id: The connection id specifying the authentication information for the S3 Bucket. :param google_impersonation_chain: Optional Google 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). """
[docs] template_fields: Sequence[str] = ( "google_api_endpoint_params", "s3_destination_key", "google_impersonation_chain", "gcp_conn_id", )
[docs] template_ext: Sequence[str] = ()
[docs] ui_color = "#cc181e"
def __init__( self, *, google_api_service_name: str, google_api_service_version: str, google_api_endpoint_path: str, google_api_endpoint_params: dict, s3_destination_key: str, google_api_response_via_xcom: str | None = None, google_api_endpoint_params_via_xcom: str | None = None, google_api_endpoint_params_via_xcom_task_ids: str | None = None, google_api_pagination: bool = False, google_api_num_retries: int = 0, s3_overwrite: bool = False, gcp_conn_id: str = "google_cloud_default", aws_conn_id: str | None = "aws_default", google_impersonation_chain: str | Sequence[str] | None = None, **kwargs, ): super().__init__(**kwargs) self.google_api_service_name = google_api_service_name self.google_api_service_version = google_api_service_version self.google_api_endpoint_path = google_api_endpoint_path self.google_api_endpoint_params = google_api_endpoint_params self.s3_destination_key = s3_destination_key self.google_api_response_via_xcom = google_api_response_via_xcom self.google_api_endpoint_params_via_xcom = google_api_endpoint_params_via_xcom self.google_api_endpoint_params_via_xcom_task_ids = google_api_endpoint_params_via_xcom_task_ids self.google_api_pagination = google_api_pagination self.google_api_num_retries = google_api_num_retries self.s3_overwrite = s3_overwrite self.gcp_conn_id = gcp_conn_id self.aws_conn_id = aws_conn_id self.google_impersonation_chain = google_impersonation_chain
[docs] def execute(self, context: Context) -> None: """ Transfers Google APIs json data to S3. :param context: The context that is being provided when executing. """ self.log.info("Transferring data from %s to s3", self.google_api_service_name) if self.google_api_endpoint_params_via_xcom: self._update_google_api_endpoint_params_via_xcom(context["task_instance"]) data = self._retrieve_data_from_google_api() self._load_data_to_s3(data) if self.google_api_response_via_xcom: self._expose_google_api_response_via_xcom(context["task_instance"], data)
def _retrieve_data_from_google_api(self) -> dict: google_discovery_api_hook = GoogleDiscoveryApiHook( gcp_conn_id=self.gcp_conn_id, api_service_name=self.google_api_service_name, api_version=self.google_api_service_version, impersonation_chain=self.google_impersonation_chain, ) return google_discovery_api_hook.query( endpoint=self.google_api_endpoint_path, data=self.google_api_endpoint_params, paginate=self.google_api_pagination, num_retries=self.google_api_num_retries, ) def _load_data_to_s3(self, data: dict) -> None: s3_hook = S3Hook(aws_conn_id=self.aws_conn_id) s3_hook.load_string( string_data=json.dumps(data), bucket_name=S3Hook.parse_s3_url(self.s3_destination_key)[0], key=S3Hook.parse_s3_url(self.s3_destination_key)[1], replace=self.s3_overwrite, ) def _update_google_api_endpoint_params_via_xcom( self, task_instance: TaskInstance | TaskInstancePydantic ) -> None: if self.google_api_endpoint_params_via_xcom: google_api_endpoint_params = task_instance.xcom_pull( task_ids=self.google_api_endpoint_params_via_xcom_task_ids, key=self.google_api_endpoint_params_via_xcom, ) self.google_api_endpoint_params.update(google_api_endpoint_params) def _expose_google_api_response_via_xcom( self, task_instance: TaskInstance | TaskInstancePydantic, data: dict ) -> None: if sys.getsizeof(data) < MAX_XCOM_SIZE: task_instance.xcom_push(key=self.google_api_response_via_xcom or XCOM_RETURN_KEY, value=data) else: raise RuntimeError("The size of the downloaded data is too large to push to XCom!")

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